Science.gov

Sample records for 5th fuzzy days

  1. 168. GENERAL VIEW FROM 5TH AVE. VIEW SOUTH, ACROSS 5TH ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    168. GENERAL VIEW FROM 5TH AVE. VIEW SOUTH, ACROSS 5TH AVE., TOWARD BUILDING 506 (ON LEFT) AND BUILDING 435. - Quonset Point Naval Air Station, Roger Williams Way, North Kingstown, Washington County, RI

  2. Kids & Family Reading Report™. 5th Edition

    ERIC Educational Resources Information Center

    Scholastic Inc., 2015

    2015-01-01

    This report presents the 5th Edition of Scholastic's biannual study of children's and parents' attitudes and behaviors about reading. The latest research touches on reading aloud to children of all ages, the impact of reading independently for fun at school and at home, the importance of frequent reading, and the books children want most to read.…

  3. Some mice feature 5th pharyngeal arch arteries and double-lumen aortic arch malformations.

    PubMed

    Geyer, Stefan H; Weninger, Wolfgang J

    2012-01-01

    A 5th pair of pharyngeal arch arteries (PAAs) has never been identified with certainty in mice. Murines in general are considered to not develop a 5th pair. If true, the significance of the mouse as a model for researching the genesis of malformations of the great intrathoracic arteries is limited. We aimed to investigate whether mouse embryos develop a 5th pair of PAAs and to identify malformations known to be caused by defective remodelling of the 5th PAAs. We employed the high-resolution episcopic microscopy method for creating digital volume data and three-dimensional (3D) computer models of the great intrathoracic arteries of 30 mouse embryos from days 12-12.5 post conception and 180 mouse fetuses from days 14.5 and 15.5 post conception. The 3D models of the fetuses were screened for the presence of a double-lumen aortic arch malformation. We identified such a malformation in 1 fetus. The 3D models of the embryos were analysed for the presence of 5th PAAs. Six of the 30 embryos (20%) showed a 5th PAA bilaterally, and an additional 9 (30%) showed a 5th PAA unilaterally. Our results prove that some mice do develop a 5th pair of PAAs. They also show that malformations which occur rarely in humans and result from defective remodelling of the left 5th PAA can be identified in mice as well. Thus, the mouse does represent an excellent model for researching the mechanisms driving PAA remodelling and the genesis of malformations of the great intrathoracic arteries.

  4. Multi-mode heterodyned 5th-order infrared spectroscopy

    NASA Astrophysics Data System (ADS)

    Leger, Joel D.; Varner, Clyde; Rubtsov, Igor V.

    2016-10-01

    Fifth-order multidimensional infrared spectroscopy with heterodyned detection was carried out in the three-beam dual-frequency configuration. Numerous 5th-order cross peaks were detected for the 4-azidobutyrate-N-hydroxysuccinimide ester compound in solution involving several vibrational modes ranging in frequency from 1045 to 2100 cm-1. Cross peaks involving overtones (2X/Z) and combination bands (XY/Z) among the tags, modes X and Y excited by the first two mid-IR laser pulses, and the reporter, modes Z excited by the third laser pulse, were acquired and the factors affecting the amplitude of 5th-order cross peaks are discussed. The 5th-order cross peaks were detected among modes that are spatially close (a few bonds apart) as well as for modes spatially separated by ca. 12 Å (eight bonds apart). In both cases, the waiting time dependences for the 3rd and 5th order cross peaks were found to be different. In particular, the waiting time at which the cross-peak maximum is reached, the decay time, and the value of a plateau at large waiting times were all differing strongly. The differences are explained by reduced sensitivity of the 5th-order signals to modes coupled weakly to the reporter mode and different relaxation dynamics involving overtone state of the tag. The ability of the 5th-order peaks to single out the modes coupled strongly to the reporter can help identifying specific energy relaxation and transport pathways, which will be useful for understanding energy transport dynamics in molecules. The absorptive 5th-order cross peaks were constructed which report on three-point correlation functions. It is shown that in addition to the triple-frequency correlation functions, a correlation of the frequencies with the mode coupling (anharmonicity) can be naturally measured by the 5th-order spectroscopy. The current limit for detecting 5th-order signals was estimated at the level of 1 × 10-3 in reduced anharmonicity, which is determined by the corresponding two

  5. 5th Latin American pesticide residue workshop (LAPRW 2015)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This invited editorial proceedings article introduces the 6 research papers published in the special topical collection for the 5th Latin American Pesticide Residue Workshop held in Santiago, Chile, May 10-13, 2015. The meeting was a great success with more than 50 talks, 140 posters, 21 vendors, a...

  6. Are You a Reader? 5th Graders Respond

    ERIC Educational Resources Information Center

    Barone, Diane; Barone, Rebecca

    2016-01-01

    The author tells the story of a 5th-grade teacher who challenges her class to take on self-identities as readers. Students defined seven characteristics of what it means to be a good reader and considered whether those characteristics applied to them: Good readers read for fun, talk about books, usually finish the book they're reading, can relate…

  7. 5th Conference on Aerospace Materials, Processes, and Environmental Technology

    NASA Technical Reports Server (NTRS)

    Cook, M. B. (Editor); Stanley, D. Cross (Editor)

    2003-01-01

    Records are presented from the 5th Conference on Aerospace Materials, Processes, and Environmental Technology. Topics included pollution prevention, inspection methods, advanced materials, aerospace materials and technical standards,materials testing and evaluation, advanced manufacturing,development in metallic processes, synthesis of nanomaterials, composite cryotank processing, environmentally friendly cleaning, and poster sessions.

  8. Working Together for Student Achievement. 5th Biennial Joint Report

    ERIC Educational Resources Information Center

    Washington State Board of Education, 2014

    2014-01-01

    The Washington state Board of Education (SBE) and the Professional Educator Standards Board (PESB) submitted this 5th biennial joint report to the Governor, Legislative Education Committees, and Superintendent of Public Instruction. The report outlines the collaborative work of the Boards, highlights accomplishments, and provides goals and…

  9. PREFACE: 5th Workshop of Young Researchers in Astronomy & Astrophysics

    NASA Astrophysics Data System (ADS)

    Forgács-Dajka, Emese; Plachy, Emese; Molnár, László

    2010-04-01

    The 5th Workshop of Young Researchers in Astronomy and Astrophysics was held on 2-4 September 2009 at the Eötvös University in Budapest, Hungary. This meeting fits into a conference series which can already be considered a tradition where the younger generation has the opportunity to present their work. The event was also a great opportunity for senior astronomers and physicists to form new connections with the next generation of researchers. The selection of invited speakers concentrated on the researchers currently most active in the field, mostly on a post-doctoral/tenure/fresh faculty position level. A number of senior experts and PhD students were also invited. As the conference focused on people rather than a specific field, various topics from theoretical physics to planetology were covered in three days. The programme was divided into six sections: Physics of the Sun and the Solar System Gravity and high-energy physics Galactic and extragalactic astronomy, cosmology Celestial mechanics and exoplanets Infrared astronomy and young stars Variable stars We had the pleasure of welcoming 10 invited review talks from senior researchers and 42 contributed talks and a poster from the younger generation. Participants also enjoyed the hospitality of the pub Pál at the Pálvölgyi-cave after giving, hearing and disputing countless talks. Brave souls even descended to the unbuilt, adventurous Mátyásvölgyi-cave. Memories of the conference were shadowed though. Péter Csizmadia, one of our participants and three other climbers attempted a first ever ascent to the Ren Zhong Feng peak in Sichuan, China, but they never returned from the mountains. Péter departed to China shortly after the conference, with best wishes from participants and friends. We dedicate this volume to his memory. The organisers thankthe Physics Doctoral School of Eötvös University for its hospitality. The workshop was supported by the Mecenatúra and Polányi Mihály Programmes of the National

  10. 167. GENERAL VIEW DOWN 5TH AVE. VIEW TO SOUTHWEST DOWN ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    167. GENERAL VIEW DOWN 5TH AVE. VIEW TO SOUTHWEST DOWN 5TH AVE. SHOWING FROM LEFT TO RIGHT, BUILDING 504, 436, 11, AND 155. - Quonset Point Naval Air Station, Roger Williams Way, North Kingstown, Washington County, RI

  11. PREFACE: 5th Baltic Conference on Silicate Materials

    NASA Astrophysics Data System (ADS)

    Mezinskis, G.; Bragina, L.; Colombo, P.; Frischat, G. H.; Grabis, J.; Greil, P.; Deja, J.; Kaminskas, R.; Kliava, J.; Medvids, A.; Nowak, I.; Siauciunas, R.; Valancius, Z.; Zalite, I.

    2011-12-01

    Logo This Volume of IOP Conference Series: Materials Science and Engineering presents a selection of the contributions to the 5th Baltic Conference on Silicate Materials (BaltSilica2011) held at Riga Technical University, Riga, Latvia from 23-25 May 2011. The conference was organized by Riga Technical University (Latvia) and Kaunas University of Technology (Lithuania). The series of Baltic conferences on silicate materials was started since 2004: the first conference was held in Riga, Latvia, 2004; the second conference was held in Kaunas, Lithuania 2005; the third was held again in Riga, Latvia, 2007, and the fourth was held in Kaunas, Lithuania 2009. BaltSilica 2011 was attended by around 50 participants from Latvia, Lithuania, Estonia, Germany, Poland, Italy, France, Ukraine and Russia. In comparison with previous silicate materials conferences, the broadening of participating countries is an indication of the interest of scientists, engineers and students to exchange research ideas, latest results, and to find new research topics for cooperation in the fields of silicate, high temperature materials, and inorganic nanomaterials. The scientific programme included 8 invited plenary lectures 23 oral presentations and 25 posters [1]. Scientific themes covered in the conference and in this special issue: Natural and Artificial Stone Materials; Traditional and New Ceramic and Glass-Like Materials; Nanoparticles and Nanomaterials. This volume consists of 23 selected proceeding papers. The Editor of this special issue is grateful to all the contributors to BaltSilica 2011. I am also very grateful to the scientific committee, the local organizing committee, the session chairs, the referees who refereed the submitted articles to this issue, and to students from the Department of Silicate, High Temperature and Inorganic Nanomaterials Technology of the Riga Technical University who ensured the smooth running of the conference. Particular thanks goes to eight plenary

  12. Managing Haemophilia for Life: 5th Haemophilia Global Summit.

    PubMed

    Hermans, Cedric; Dolan, Gerry; Jennings, Ian; Windyga, Jerzy; Lobet, Sébastien; Rodríguez-Merchán, E Carlos; Di Minno, Matteo Nicola Dario; Jiménez-Yuste, Víctor; O'Mahony, Brian

    2015-10-01

    The 5th Haemophilia Global Summit was held in Barcelona, Spain, in September 2014. The programme was designed by an independent Scientific Steering Committee of haemophilia experts and explored issues relevant to the practical management of haemophilia, as well as key opportunities and challenges for care in the future. The topics outlined in this supplement were selected by the Scientific Steering Committee for their relevance to improving haemophilia care globally. In this supplement from the meeting, Gerry Dolan explores pharmacokinetics and dynamics in haemophilia, and Gerry Dolan and Ian Jennings jointly address the role of the laboratory in haemophilia care. The potential benefits of low-dose prophylaxis regimens for people with haemophilia in the developing world are reviewed by Jerzy Windyga, and the question of whether 'Future haemophilia research should be undertaken in the developing world' is debated by Jerzy Windyga and Cedric Hermans. Management strategies for ankle arthropathy are discussed by Sébastien Lobet and E. Carlos Rodríguez-Merchán, and the use of ultrasound for the early detection of haemophilic arthropathy is addressed by Matteo Nicola Dario Di Minno and Víctor Jiménez-Yuste. Finally, the role of patients in the future of haemophilia care is reviewed by Brian O'Mahony. PMID:26350039

  13. Managing Haemophilia for Life: 5th Haemophilia Global Summit.

    PubMed

    Hermans, Cedric; Dolan, Gerry; Jennings, Ian; Windyga, Jerzy; Lobet, Sébastien; Rodríguez-Merchán, E Carlos; Di Minno, Matteo Nicola Dario; Jiménez-Yuste, Víctor; O'Mahony, Brian

    2015-10-01

    The 5th Haemophilia Global Summit was held in Barcelona, Spain, in September 2014. The programme was designed by an independent Scientific Steering Committee of haemophilia experts and explored issues relevant to the practical management of haemophilia, as well as key opportunities and challenges for care in the future. The topics outlined in this supplement were selected by the Scientific Steering Committee for their relevance to improving haemophilia care globally. In this supplement from the meeting, Gerry Dolan explores pharmacokinetics and dynamics in haemophilia, and Gerry Dolan and Ian Jennings jointly address the role of the laboratory in haemophilia care. The potential benefits of low-dose prophylaxis regimens for people with haemophilia in the developing world are reviewed by Jerzy Windyga, and the question of whether 'Future haemophilia research should be undertaken in the developing world' is debated by Jerzy Windyga and Cedric Hermans. Management strategies for ankle arthropathy are discussed by Sébastien Lobet and E. Carlos Rodríguez-Merchán, and the use of ultrasound for the early detection of haemophilic arthropathy is addressed by Matteo Nicola Dario Di Minno and Víctor Jiménez-Yuste. Finally, the role of patients in the future of haemophilia care is reviewed by Brian O'Mahony.

  14. 75 FR 63478 - 5th Annual PHEMCE Stakeholders Workshop and BARDA Industry Day

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-15

    ... held January 10-12, 2011 at the Walter E. Washington Convention Center in Washington, DC. This annual... focused forums on: Pre-Event Positioning of Medical Countermeasures. Emergency Planning for Vulnerable... Workshop will be held at the Walter E. Washington Convention Center, 801 Mount Vernon Place,...

  15. 5th Bionanotox and Applications International Research Conference, Peabody, Little Rock, Arkansas, USA

    NASA Astrophysics Data System (ADS)

    Sabb, Taneicie; Chowdhury, Parimal

    2011-06-01

    "BioNanoTox and Toxicity: using Technology to Advance Discovery" was this year's theme at the 5th BioNanoTox and Applications International Research Conference held at the Peabody Hotel, Little Rock, Arkansas on November 4-5th, 2010. This year, the international participation in this conference increased to 25 countries spanning the globe. The conference began with opening remarks by Paul Howard, Associate Director of the National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas, United States. Two keynote speakers, Dr. Ananth V. Annapragada and Dr. Merle G. Paule presented lectures on "Toxicity of Novel Nanoparticles for CT imaging" and "The Biology of Neurotoxicity: using Technology to Advance Discovery", respectively. Teachers, students, faculty, and scientists presented oral and poster presentations on fundamental and translational research related to BioNanoTox and related fields of science. Six presentation sessions were held over the two-day conference. There were 31 presentations and 39 posters from disciplines ranging from biology to chemistry, toxicology, nanotechnology, computational sciences, mathematics, engineering, plant science, and biotechnology. Poster presentation awards were presented to three high school students, three high school teachers, and three college students. In addition to poster awards a memorial, travel, and BioNanoTox award were presented. This year's meeting paved the way for a more outstanding meeting for the future.

  16. 5th Austrian Hungarian workshop on celestial mechanics

    NASA Astrophysics Data System (ADS)

    Süli, Áron

    2011-06-01

    The 5th Hungarian-Austrian Workshop on Celestial Mechanics took place from 9th until the 10th of April 2010 in Vienna, Austria. The workshop was held in the Institute for Astronomy of Vienna University. From the Eötvös University and from the host institute experts and PhD students gathered together to discuss the challenges and new results of the actual problems of celestial mechanics. The workshop was held in the meeting room at the Sternwarte of the Vienna University located in a magnificent park in the heart of Vienna. Following the themes of the four previous events the focus for this workshop ranged from the Trojan problem, dynamics in binary star systems and exoplanetray systems. We were pleased to acknowledge the support of the host university. The talks were characterized by a large spectrum, which is typical of the workshops on celestial mechanics. Several talks discussed different aspects of the trojan problem, such as the three Trojan Problem, dynamics of trojan-like planets in binary stars, the frequencies of their motion around the triangular lagrangian points, etc. Several speakers focused on the formation of planetary systems and on the field of exoplanetary systems, like exoplanetary systems in higher order mean motion resonances, formation of planets in binary systems, stability of exomoons etc. Some of the presentation used sophisticated mathematical tools in order to understand mean motion resonances, the Sitnikov problem applying the KAM and the Nekhoroshev theorem. The theme of a number of talks was the motion of Solar System bodies: dynamics of the newly discovered moons of Pluto and of near-Earth asteroids. General problems were also addressed, among others chaos in Hamiltonian systems, adaptive Lie-integration method and iterative solution approximation to the generalised Sitnikov problem.

  17. Determination of the Colour Preferences of 5th Grade Students in Relation to Gender

    ERIC Educational Resources Information Center

    Uysal, Hüseyin

    2016-01-01

    The purpose of this research is to determine the colour preferences of 5th grade students in relation to the concept of gender. The study was conducted with the 19 5th grade students studying at Central District of Bartin Province in 2015 to 2016 academic year. Throughout the research, quantitative research method had been used while survey had…

  18. Black sea surface temperature anomaly on 5th August 1998 and the ozone layer thickness

    NASA Astrophysics Data System (ADS)

    Manev, A.; Palazov, K.; Raykov, St.; Ivanov, V.

    2003-04-01

    BLACK SEA SURFACE TEMPERATURE ANOMALY ON 5th AUGUST 1998 AND THE OZONE LAYER THICKNESS A. Manev , K. Palazov , St. Raykov, V. Ivanov Solar Terrestrial Influences Laboratory, Bulgarian Academy of Sciences amanev@abv.bg This paper focuses on the peculiarities of the Black Sea surface temperature anomaly on 05.08.1998. Researching the daily temperature changes in a number of control fields in the course of 8-10 years, we have found hidden correlations and anomalous deviations in the sea surface temperatures on a global scale. Research proves the statistical reliability of the temperature anomaly on the entire Black Sea surface registered on 04.-05.08.1998. In the course of six days around these dates the temperatures are up to 2°C higher than the maximum temperatures in this period in the other seven years. A more detailed analysis of the dynamics of the anomaly required the investigation of five Black Sea surface characteristic zones of 75x75 km. The analysis covers the period 20 days - 10 days before and 10 days after the anomaly. Investigations aimed at interpreting the reasons for the anomalous heating of the surface waters. We have tried to analyze the correlation between sea surface temperature and the global ozone above the Black Sea by using simultaneously data from the two satellite systems NOAA and TOMS. Methods of processing and comparing the data from the two satellite systems are described. The correlation coefficients values for the five characteristic zones are very high and close, which proves that the character of the correlation ozone - sea surface temperature is the same for the entire Black Sea surface. Despite the high correlation coefficient, we have proved that causality between the two phenomena at the time of the anomaly does not exit.

  19. Need for Specific Sugar-Sweetened Beverage Lessons for 4th and 5th Graders

    PubMed Central

    Bea, Jennifer W.; Jacobs, Laurel; Waits, Juanita; Hartz, Vern; Martinez, Stephanie H.; Standfast, Rebecca D.; Farrell, Vanessa A.; Bawden, Margine; Whitmer, Evelyn; Misner, Scottie

    2015-01-01

    Objective Consumption of sugar-sweetened beverages (SSB) is linked to obesity. We hypothesized that school-based nutrition education would decrease SSB consumption. Design Self-selected interventional cohort with random selection for pre and post measurements Setting Arizona SNAP-Ed eligible schools Participants Randomly selected (9%) 4th and 5th grade classroom students Intervention The University of Arizona Nutrition Network (UANN) provided general nutrition education training and materials to teachers, to be delivered to their students. The UANN administered behavioral questionnaires to students in both Fall and Spring. Main Outcome Measure(s) Change in SSB consumption Analyses Descriptive statistics were computed for student demographics and beverage consumption on the day prior to testing. Paired t-tests evaluated change in classroom averages. Linear regression assessed potential correlates of SSB consumption. Results Fall mean SSB consumption was 1.1 (±0.2) times; mean milk and water intake were 1.6 (±0.2) and 5.2 (±0.7) times, respectively. Beverage consumption increased (3.2%) in springtime, with increased SSBs (14.4%) accounting for the majority (p=0.006). Change in SSB consumption was negatively associated with baseline SSB and water consumption, but positively associated with baseline milk fat (p≤0.05). Conclusions and Implications The results suggest the need for beverage specific education to encourage children to consume more healthful beverages in warmer weather. PMID:25239840

  20. 6. 5TH FLOOR, VIEW NORTH OF KETTLE SOAP STORAGE TANKS ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    6. 5TH FLOOR, VIEW NORTH OF KETTLE SOAP STORAGE TANKS (RIGHT) AND WEIGH HOPPERS OVER SITES OF REMOVED AMALGAMATORS (LEFT) - Colgate & Company Jersey City Plant, Building No. B-14, 54-58 Grand Street, Jersey City, Hudson County, NJ

  1. 17. 4th floor roof, view south, 4th and 5th floor ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    17. 4th floor roof, view south, 4th and 5th floor setback to left and atrium structure to right - Sheffield Farms Milk Plant, 1075 Webster Avenue (southwest corner of 166th Street), Bronx, Bronx County, NY

  2. 25. April 5th one month's work. View looking north. Storehouse ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    25. April 5th one month's work. View looking north. Storehouse #1 under construction, storehouse #2 site work in progress toward foreground. - U.S. Navy Fleet Supply Base, Storehouse No. 1, 830 Third Avenue, Brooklyn, Kings County, NY

  3. Storm Peak Laboratory 5th-6th Grade Climate and Weather Program

    NASA Astrophysics Data System (ADS)

    McCubbin, I. B.; Hallar, A. G.

    2008-12-01

    science. At the end of the day each student has a data sheet with measurements recorded from 5 locations of different elevations to take back to the classroom. Following the field trip, SPL scientists and educators visit the school for a follow-up to help children grasp concepts, represent their data set collected in graphical formats, answer questions, and evaluate students" learning. Currently, approximately 250 students annually participate in the SPL 5th and 6th grade climate education program.

  4. Fuzzy logic

    NASA Technical Reports Server (NTRS)

    Zadeh, Lofti A.

    1988-01-01

    The author presents a condensed exposition of some basic ideas underlying fuzzy logic and describes some representative applications. The discussion covers basic principles; meaning representation and inference; basic rules of inference; and the linguistic variable and its application to fuzzy control.

  5. Fuzzy Commitment

    NASA Astrophysics Data System (ADS)

    Juels, Ari

    The purpose of this chapter is to introduce fuzzy commitment, one of the earliest and simplest constructions geared toward cryptography over noisy data. The chapter also explores applications of fuzzy commitment to two problems in data security: (1) secure management of biometrics, with a focus on iriscodes, and (2) use of knowledge-based authentication (i.e., personal questions) for password recovery.

  6. Freezing Rain Diagnostic Study Over Eastern Canada Using the 5th Generation Canadian Regional Climate Model

    NASA Astrophysics Data System (ADS)

    Bresson, É.; Paquin, D.; Laprise, R.; Theriault, J. M.; de Elía, R.

    2015-12-01

    Northeastern North America is often affected by freezing rain events during the cold season. They can have significant consequences (from road accidents, to severe power outages) despite their intensity and duration. The 1998 Ice Storm over Eastern Canada and Northeastern United States is an example of an extreme event with catastrophic consequences. A total of up to 150 mm of ice accumulated during 10 days were observed in some areas. This natural disaster has highlighted the need to better understand how such phenomena will evolve with future climate scenario. The goal is to investigate the feasibility of using regional climate modeling to diagnose the occurrence of freezing rain events over Quebec (Canada). To address this issue, we used the 5th generation of the Canadian Regional Climate Model (CRCM5), from 1979 to 2014. An empirical method (Bourgouin, 2000) developed to determine the type of winter precipitations was chosen to diagnose freezing rain events. The study focused in the Montreal area and the St. Lawrence River Valley (Quebec, Canada). The sensitivity of the model to horizontal resolution was explored by using three resolutions: 0.44°, 0.22° and 0.11°. In general, freezing rain was diagnosed consistently at all resolutions but the higher one (0.11°) produced more realistic results due to a better representation of the orography. Using the higher resolution, the results showed that the climatology of the freezing rain occurrence in the Montreal area is comparable to available observations. It also suggested that the role of the specific orography of the region with the St. Lawrence River Valley can impact the characteristics of freezing rain events in this area. Overall, this study will contribute to a better preparedness for such events in the future. High resolution regional climate simulations are essential to improve the reproduction of local scale orographically-forced phenomena.

  7. FOREWORD: 5th International Workshop on New Computational Methods for Inverse Problems

    NASA Astrophysics Data System (ADS)

    Vourc'h, Eric; Rodet, Thomas

    2015-11-01

    This volume of Journal of Physics: Conference Series is dedicated to the scientific research presented during the 5th International Workshop on New Computational Methods for Inverse Problems, NCMIP 2015 (http://complement.farman.ens-cachan.fr/NCMIP_2015.html). This workshop took place at Ecole Normale Supérieure de Cachan, on May 29, 2015. The prior editions of NCMIP also took place in Cachan, France, firstly within the scope of ValueTools Conference, in May 2011, and secondly at the initiative of Institut Farman, in May 2012, May 2013 and May 2014. The New Computational Methods for Inverse Problems (NCMIP) workshop focused on recent advances in the resolution of inverse problems. Indeed, inverse problems appear in numerous scientific areas such as geophysics, biological and medical imaging, material and structure characterization, electrical, mechanical and civil engineering, and finances. The resolution of inverse problems consists of estimating the parameters of the observed system or structure from data collected by an instrumental sensing or imaging device. Its success firstly requires the collection of relevant observation data. It also requires accurate models describing the physical interactions between the instrumental device and the observed system, as well as the intrinsic properties of the solution itself. Finally, it requires the design of robust, accurate and efficient inversion algorithms. Advanced sensor arrays and imaging devices provide high rate and high volume data; in this context, the efficient resolution of the inverse problem requires the joint development of new models and inversion methods, taking computational and implementation aspects into account. During this one-day workshop, researchers had the opportunity to bring to light and share new techniques and results in the field of inverse problems. The topics of the workshop were: algorithms and computational aspects of inversion, Bayesian estimation, Kernel methods, learning methods

  8. The 5th edition of the Roma-BZCAT. A short presentation

    NASA Astrophysics Data System (ADS)

    Massaro, E.; Maselli, A.; Leto, C.; Marchegiani, P.; Perri, M.; Giommi, P.; Piranomonte, S.

    2015-05-01

    The 5th edition of the Roma-BZCAT Multifrequency Catalogue of Blazars is available in a printed version and online at the ASDC website (http://www.asdc.asi.it/bzcat); it is also in the NED database. It presents several relevant changes with respect to the past editions which are briefly described in this paper.

  9. Oral Persuasion: A Saleable Work Skill. Occupation Simulation Packet. Grades 5th-6th.

    ERIC Educational Resources Information Center

    Lee, Dennis W.

    This teacher's guide contains simulated work experiences for 5th and 6th grade students using the isolated skill concept - oral persuasion. Teacher instructions include objectives, evaluation, and sequence of activities. The guide contains pre-tests and post-tests with instructions and answer keys. Two pre-skill activities are suggested, such as…

  10. A Longitudinal Study of a 5th Grade Science Curriculum Based on the 5E Model

    ERIC Educational Resources Information Center

    Scott, Timothy P.; Schroeder, Carolyn; Tolson, Homer; Huang, Tse-Yang; Williams, Omah M.

    2014-01-01

    The Center for Mathematics and Science Education at Texas A&M University contracted with Region 4 Education Service Center (ESC) and a large, diverse school district to conduct a longitudinal study from 2005-2009. The state achievement test scores of 5th graders who were taught using a Grade 5 science textbook designed by Region 4 ESC were…

  11. Successfully Promoting 21st Century Online Research Skills: Interventions in 5th-Grade Classrooms

    ERIC Educational Resources Information Center

    Kingsley, Tara L.; Cassady, Jerrell C.; Tancock, Susan M.

    2015-01-01

    This quantitative study was developed to explore the ability to impact elementary student 21st Century online research skills with a planned classroom intervention curriculum. The repeated measures quasi-experimental study randomly assigned all 5th grade classes in a Midwestern, suburban school (n = 418) to a 12-week intervention or control…

  12. A Network Sets Things in Motion: TEDD Celebrates its 5(th) Anniversary.

    PubMed

    2015-01-01

    At the Annual Meeting at ZHAW Waedenswil on 22 October 2015, the TEDD-Network (Tissue Engineering for Drug Development and Substance Testing) celebrated its 5(th) anniversary. Since its foundation, TEDD has become an internationally renowned competence centre and includes currently 91 members from academia and industry. They cover the entire development and value chain. PMID:26671055

  13. The 5th World Environmental Education Congress, 2009: A Research Project

    ERIC Educational Resources Information Center

    Jickling, Bob; Sauve, Lucie; Briere, Laurence; Niblett, Blair; Root, Emily

    2010-01-01

    This paper contextualizes the 5th World Environmental Education Congress, discusses the theoretical underpinnings of the Congress theme "Earth Our Common Home," and relates this theorizing to the research project that was woven through the Congress. We provide a rationale for engaging in this research project, as an invitation for Congress…

  14. 10. Interior view, working house, scale floor (5th level). View ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    10. Interior view, working house, scale floor (5th level). View facing across floor toward no. 2 scale and garner. Tile structure at left center is weighmaster's shack; view facing east. - Saint Anthony Elevator No. 3, 620 Malcom Avenue, Southeast, Minneapolis, Hennepin County, MN

  15. Socially, Developmentally, and Academically Appropriate Prevention Curriculum for 5th Graders

    ERIC Educational Resources Information Center

    Harthun, Mary L.; Dustman, Patricia A.; Reeves, Leslie J.; Marsiglia, Flavio F.; Hecht, Michael L.

    2009-01-01

    This paper reports on a process in which program designers, classroom teachers, and students worked together to adapt the 7th grade "keepin' it REAL" prevention curriculum to a developmentally, socially, and academically appropriate curriculum for 5th graders. A Community-Based Participatory Research methodology (CBPR), combined with a 9-step…

  16. The Effect of Progressive Sentence Development Activities on 5th Graders' Description Skills

    ERIC Educational Resources Information Center

    Hamzadayi, Ergun

    2015-01-01

    The aim of this study was to examine the effect of progressive sentence development activities on 5th graders' description skills. The study was conducted based on the pretest-posttest quasi-experimental model with a control group. A total of 58 students participated in the study; 29 in the control group, and 29 in the experimental group. The…

  17. Vocabulary and Syntactic Knowledge Factors in 5th Grade Students' Reading Comprehension

    ERIC Educational Resources Information Center

    Mokhtari, Kouider; Niederhauser, Dale S.

    2013-01-01

    In this study, we examined 5th grade students' levels of vocabulary knowledge and syntactic awareness relative to their reading comprehension performance. The aim was to explore the contributions of vocabulary and syntactic awareness as potential sources of reading comprehension difficulty for these readers. Overall, we found that both vocabulary…

  18. 9. 5TH FLOOR, INTERIOR DETAIL TO EAST OF SOAP BIN ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    9. 5TH FLOOR, INTERIOR DETAIL TO EAST OF SOAP BIN No. 4: UPPER SCREWS MOVED SOAP CHIPS HORIZONTALLY FROM BIN TO BIN; LOWER LEFT-AND RIGHT-HAND SCREWS MOVED CHIPS TO CHUTE LEADING TO 3RD FLOOR SOAP MILLS - Colgate & Company Jersey City Plant, Building No. B-14, 54-58 Grand Street, Jersey City, Hudson County, NJ

  19. 78 FR 53454 - Filing Dates for the Louisiana Special Elections in the 5th Congressional District

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-29

    ... From the Federal Register Online via the Government Publishing Office FEDERAL ELECTION COMMISSION Filing Dates for the Louisiana Special Elections in the 5th Congressional District AGENCY: Federal Election Commission. ACTION: Notice of filing dates for special election. SUMMARY: Louisiana has...

  20. Urban 5th Graders Conceptions during a Place-Based Inquiry Unit on Watersheds

    ERIC Educational Resources Information Center

    Endreny, Anna Henderson

    2010-01-01

    This study aimed to determine how 33 urban 5th grade students' science conceptions changed during a place-based inquiry unit on watersheds. Research on watershed and place-based education was used as a framework to guide the teaching of the unit as well as the research study. A teacher-researcher designed the curriculum, taught the unit and…

  1. An Investigation of Science and Technology Teachers' Views on the 5th Grade Science Course

    ERIC Educational Resources Information Center

    Dasdemir, Ikramettin

    2014-01-01

    This study was conducted to explore the science and technology teachers' views on the implementation of 5th grade science course. Open-ended questions were used as a data collection tool. The study sample consisted of 28 science and technology teachers working in Erzurum in 2012-2013 education year. The data gathered were analysed via content…

  2. Effects of temperature and modified atmospheres on diapausing 5th instar codling moth metabolism

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Diapausing 5th instars of codling moth, Cydia pomonella, are serious quarantine pests of in-shell walnuts. Previous research indicates that heat treatments in combination with high concentrations of carbon dioxide and low concentrations of oxygen may be effective for controlling this pest in walnuts...

  3. Anatomic variation of the 5th extensor tendon compartment and extensor digiti minimi tendon.

    PubMed

    Tanaka, Toshikazu; Moran, Steven L; Zhao, Chunfeng; Zobitz, Mark E; An, Kai-Nan; Amadio, Peter C

    2007-08-01

    Anatomic variation within the 5th extensor compartment may contribute to the development of tenosynovitis and limit the usefulness of the extensor digiti minimi (EDM) for tendon transfer. The purpose of this study was to assess the anatomic variation of the EDM tendon and its surrounding retinaculum, with particular attention to anatomical variation between specimens. Forty-one fresh cadaver hands were dissected. The length of the 5th compartment retinaculum was noted. The incidence of an intercompartmental septum was noted in each specimen as well as the type of tendinous attachments present between the EDM and extensor digitorum communis (EDC) tendons. The presence and length of any accessory retinacular bands distal to the edge of proper extensor retinaculum was also noted. Only one specimen contained a single EDM tendon, while 71% (n = 29) of specimens contained two slips and 23% (n = 9) had three slips; 24% (n = 10) of EDC tendons had no slip to the small finger, while 61% (n = 25) of specimens had a single slip to the small finger. The EDC's contribution to the small finger was found to be an independent tendon in 42% of cases (n = 17), while 34% (n = 14) of specimens were found to have a common EDC slip, which branched to both the ring and small finger. Three EDM tendons divided distal to the extensor retinaculum, while the remaining EDM tendons divided beneath or proximal to the extensor retinaculum. Seventy-three percent (n = 30) of the specimens had an accessory retinacular band surrounding the EDM tendon identified at the base of the 5th metacarpal. Eighty-eight percent (n = 36) of hands had a septum between the EDM slips. The surgeon should be aware of variability within the 5th dorsal compartment in cases of trauma and in cases of tendon transfer. In our series 30 of 41 specimens were noted to contain an accessory dorsal retinacular band surrounding the EDM and 36 specimens were noted to contain a septum within the 5th compartment. The presence of an

  4. Instantaneous frequency measurement by in-fiber 0.5th order fractional differentiation

    NASA Astrophysics Data System (ADS)

    Poveda-Wong, L.; Carrascosa, A.; Cuadrado-Laborde, C.; Cruz, J. L.; Díez, A.; Andrés, M. V.

    2016-07-01

    We experimentally demonstrate the possibility to retrieve the instantaneous frequency profile of a given temporal light pulse by in-fiber fractional order differentiation of 0.5th-order. The signal's temporal instantaneous frequency profile is obtained by simple dividing two temporal intensity profiles, namely the intensities of the input and output pulses of a spectrally-shifted fractional order differentiation. The results are supported by the experimental measurement of the instantaneous frequency profile of a mode-locked laser.

  5. Fuzzy jets

    NASA Astrophysics Data System (ADS)

    Mackey, Lester; Nachman, Benjamin; Schwartzman, Ariel; Stansbury, Conrad

    2016-06-01

    Collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets. To construct jets, the experimental collaborations based at the Large Hadron Collider (LHC) primarily use agglomerative hierarchical clustering schemes known as sequential recombination. We propose a new class of algorithms for clustering jets that use infrared and collinear safe mixture models. These new algorithms, known as fuzzy jets, are clustered using maximum likelihood techniques and can dynamically determine various properties of jets like their size. We show that the fuzzy jet size adds additional information to conventional jet tagging variables in boosted topologies. Furthermore, we study the impact of pileup and show that with some slight modifications to the algorithm, fuzzy jets can be stable up to high pileup interaction multiplicities.

  6. Fuzzy jets

    DOE PAGES

    Mackey, Lester; Nachman, Benjamin; Schwartzman, Ariel; Stansbury, Conrad

    2016-06-01

    Here, collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets . To construct jets, the experimental collaborations based at the Large Hadron Collider (LHC) primarily use agglomerative hierarchical clustering schemes known as sequential recombination. We propose a new class of algorithms for clustering jets that use infrared and collinear safe mixture models. These new algorithms, known as fuzzy jets , are clustered using maximum likelihood techniques and can dynamically determine various properties of jets like their size. We show that the fuzzy jet size adds additional information to conventional jet taggingmore » variables in boosted topologies. Furthermore, we study the impact of pileup and show that with some slight modifications to the algorithm, fuzzy jets can be stable up to high pileup interaction multiplicities.« less

  7. Effects of the 5th and 7th Grade Enhanced Versions of the "keepin' it REAL" Substance Use Prevention Curriculum

    ERIC Educational Resources Information Center

    Elek, Elvira; Wagstaff, David A.; Hecht, Michael L.

    2010-01-01

    This study assessed the outcomes of adapting the culturally-grounded, middle school, substance-use prevention intervention, "keepin' it REAL" ("kiR"), to target elementary school students and to address acculturation. At the beginning of 5th grade, 29 schools were randomly assigned to conditions obtained by crossing grade of implementation (5th,…

  8. Measuring Listening Comprehension Skills of 5th Grade School Students with the Help of Web Based System

    ERIC Educational Resources Information Center

    Acat, M. Bahaddin; Demiral, Hilmi; Kaya, Mehmet Fatih

    2016-01-01

    The main purpose of this study is to measure listening comprehension skills of 5th grade school students with the help of web based system. This study was conducted on 5th grade students studying at the primary schools of Eskisehir. The scale used in the process of the study is "Web Based Listening Scale". In the process of the study,…

  9. PREFACE: 5th DAE-BRNS Workshop on Hadron Physics (Hadron 2011)

    NASA Astrophysics Data System (ADS)

    Jyoti Roy, Bidyut; Chatterjee, A.; Kailas, S.

    2012-07-01

    The 5th DAE-BRNS Workshop on Hadron Physics was held at the Bhabha Atomic Research Centre (BARC), Mumbai from 31 October to 4 November 2011. This workshop series, supported by the Board of Research in Nuclear Sciences, Department of Atomic Energy (BRNS, DAE), Govt. of India, began ten years ago with the first one being held at BARC, Mumbai in October 2002. The second one was held at Puri in 2005, organized jointly by Institute of Physics, Bhubneswar and Saha Institute of Nuclear Physics, Kolkata. The 3rd and 4th ones took place, respectively, at Shantineketan in 2006, organized by Visva Bharati University, and at Aligarh in 2008, organized by Aligarh Muslim University, Aligarh. The aim of the present workshop was to bring together the experts and young researchers in the field of hadron physics (both experiment and theory) and to have in-depth discussions on the current research activities in this field. The format of the workshop was: a series of review lectures by various experts from India and abroad, the presentation of advanced research results by researchers in the field, and a review of major experimental programs being planned and pursued in major laboratories in the field of hadron physics, with the aim of providing a platform for the young participants for interaction with their peers. The upcoming international FAIR facility at GSI is a unique future facility for studies of hadron physics in the charm sector and hyper nuclear physics. The Indian hadron physics community is involved in this mega science project and is working with the PANDA collaboration on the development of detectors, simulation and software tools for the hadron physics programme with antiprotons at FAIR. A one-day discussion session was held at this workshop to discuss India-PANDA activities, the current collaboration status and the work plan. This volume presents the workshop proceedings consisting of lectures and seminars which were delivered during the workshop. We are thankful to

  10. A Social Medium: ASM's 5th Cell-Cell Communication in Bacteria Meeting in Review

    PubMed Central

    Federle, Michael J.

    2015-01-01

    The 5th American Society for Microbiology Conference on Cell-Cell Communication in Bacteria (CCCB-5), which convened from 18 to 21 October 2014 in San Antonio, TX, highlighted recent advances in our understanding of microbial intercellular signaling. While the CCCB meetings arose from interests in pheromone signaling and quorum sensing, it was evident at CCCB-5 that the cell-cell communication field is continuing to mature, expanding into new areas and integrating cutting-edge technologies. In this minireview, we recap some of the research discussed at CCCB-5 and the questions that have arisen from it. PMID:25917904

  11. Evaluation of the 5th edition of the TNM classification for gastric cancer: improved prognostic value

    PubMed Central

    Kranenbarg, E Klein; Hermans, J; van Krieken, J H J M; van de Velde, C J H

    2001-01-01

    The main change in the 5th edition (1997) of the TNM classification for gastric cancer compared to the 4th edition (1987) is the use of the number of involved nodes instead of the location of positive nodes. As a result stage grouping is also altered. A second change is the requirement for the examination of at least 15 nodes to justify the N0 status. Patients with fewer examined negative nodes are unclassifiable (Nx). Data were retrieved from a randomized trial database comparing D1 and D2 dissection and 633 curatively operated patients were included. According to the criteria of the 5th edition, 39% of the node-positive patients had another N stage compared to the 4th: 21% had a lower and 18% had a higher stage. 5-year survival rates according to the 4th edition N0, N1 and N2 groups were respectively 72%, 34% and 27%. According to the 5th edition these percentages were for the N0, N1, N2, N3 and Nx groups respectively 75%, 38%, 19%, 8% and 65%. The former 1987 N1 and N2 group were significantly split into three new N 1997 groups (P = 0.006, respectively P< 0.0005). The Cox's regression analysis showed the N 1997 classification to be the most important prognostic variable, with a higher prognostic value than N 1987. In addition, the new TNM stage was also a better prognosticator. The requirement for examining at least 15 nodes, however, could not be fulfilled in 38% of all node-negative patients and we found that a minimum of 5 consecutive negative lymph nodes is a reliable number for staging purposes. We conclude that the 5th edition of the TNM classification provides a better estimation of prognosis, however, examination of at least 15 negative regional lymph nodes is too high a threshold and 5 gives similar prognostic value. © 2001 Cancer Research Campaign http://www.bjcancer.com PMID:11139315

  12. Indoor Air '90: the 5th in a series of international conferences on the indoor environment.

    PubMed

    Walkinshaw, D

    1992-01-01

    The 5th International Conference on Indoor Air Quality and Climate: INDOOR AIR '90 continued a series of international scientific conferences begun in 1978 on a complex, interdisciplinary subject increasingly recognized to be of importance to human comfort, health and productivity, and having important implications for building design and furnishing, office equipment, appliances, cleaning, heating, ventilating, humidifying and air-conditioning. INDOOR AIR '90 constituted a week long program of 542 paper and poster presentations and forum discussions, 100 exhibits, and a public forum. This paper summarizes some of the highlights of this conference and links these to some of the studies reported at earlier INDOOR AIR Conference.

  13. Preface to Special Topic: Selected Papers from the 5th International Conference on Optofluidics.

    PubMed

    Fan, Shih-Kang; Yang, Zhenchuan

    2016-01-01

    The 5th International Conference on Optofluidics (Optofluidics 2015) was held in Taipei, Taiwan, July 26-29, 2015. The aim of this conference was to provide a forum to promote scientific exchange and to foster closer networks and collaborative ties between leading international researchers in optics and micro/nanofluidics across various disciplines. The scope of Optofluidics 2015 was deliberately broad and interdisciplinary, encompassing the latest advances and the most innovative developments in micro/nanoscale science and technology. Topics ranged from fundamental research to its applications in chemistry, physics, biology, materials, and medicine.

  14. Hybrid fuzzy regression with trapezoidal fuzzy data

    NASA Astrophysics Data System (ADS)

    Razzaghnia, T.; Danesh, S.; Maleki, A.

    2011-12-01

    In this regard, this research deals with a method for hybrid fuzzy least-squares regression. The extension of symmetric triangular fuzzy coefficients to asymmetric trapezoidal fuzzy coefficients is considered as an effective measure for removing unnecessary fuzziness of the linear fuzzy model. First, trapezoidal fuzzy variable is applied to derive a bivariate regression model. In the following, normal equations are formulated to solve the four parts of hybrid regression coefficients. Also the model is extended to multiple regression analysis. Eventually, method is compared with Y-H.O. chang's model.

  15. High energy diode pumped 5th harmonic generation of Nd: YAG laser

    NASA Astrophysics Data System (ADS)

    Yu, Yang; Cheng, Chee Yuen; Chia, Yong Poo; Wong, Wee Hoong; Yong, Saw Soon; Qu, Weijuan; Peng, Xiaoyuan

    2013-03-01

    This paper reports a high power diode pump 5th harmonic generation of Nd: YAG laser system, which could generate up to 300 mW TEM00 mode output with 100 Hz repetition rate at 213 nm. A diode pump module was specially designed for a high efficiency and good beam quality at the fundamental wavelength 1064 nm. An amplifier was set up out of the cavity to boost up the energy level of fundamental wavelength. In order to get high efficiency of the 5th harmonic generation, the cavity of the fundamental wavelength is EOM Q-switched which could generate very high peak power of the fundamental wavelength laser for extra cavity harmonic generations. Finally, 14% conversion efficiency from IR to UV was achieved, which is the highest efficiency in the market to the best of our knowledge right now. 213 nm is a very good substitute wavelength of 193 nm for different UV applications, the system of which is more compact, higher energy, less maintenance and better beam quality than the system of 193 nm.

  16. EDITORIAL: 'Best article' prize for the 5th anniversary of Environmental Research Letters 'Best article' prize for the 5th anniversary of Environmental Research Letters

    NASA Astrophysics Data System (ADS)

    Kammen, Dan; Wright, Guillaume

    2011-12-01

    To celebrate the 5th anniversary of Environmental Research Letters (ERL) the publishers of the journal, IOP Publishing, have awarded a prize for the five best articles published in ERL since the journal began in 2006. The procedure for deciding the winning articles was as thorough as possible to ensure that the most outstanding articles would win the prize. A shortlist of 25 nominated research articles, five for each year since ERL was launched, which were chosen based on a range of criteria including novelty, scientific impact, readership, broad appeal and wider media coverage, was selected. The ERL Editorial Board then assessed and rated these 25 articles in order to choose a winning article for each year. We would like to announce that the following articles have been awarded ERL's 5th anniversary best article prize: 2006/7 The Bodélé depression: a single spot in the Sahara that provides most of the mineral dust to the Amazon forest Ilan Koren, Yoram J Kaufman, Richard Washington, Martin C Todd, Yinon Rudich, J Vanderlei Martins and Daniel Rosenfeld 2006 Environ. Res. Lett. 1 014005 2008 Causes and impacts of the 2005 Amazon drought Ning Zeng, Jin-Ho Yoon, Jose A Marengo, Ajit Subramaniam, Carlos A Nobre, Annarita Mariotti and J David Neelin 2008 Environ. Res. Lett. 3 014002 2009 How difficult is it to recover from dangerous levels of global warming? J A Lowe, C Huntingford, S C B Raper, C D Jones, S K Liddicoat and L K Gohar 2009 Environ. Res. Lett. 4 014012 2010 Is physical water scarcity a new phenomenon? Global assessment of water shortage over the last two millennia Matti Kummu, Philip J Ward, Hans de Moel and Olli Varis 2010 Environ. Res. Lett. 5 034006 2011 Implications of urban structure on carbon consumption in metropolitan areas Jukka Heinonen and Seppo Junnila 2011 Environ. Res. Lett. 6 014018 Our congratulations go to these authors. In recognition of their outstanding work, we are delighted to offer all of the authors of the winning articles free

  17. Effects of temperature and modified atmospheres on diapausing 5th instar codling moth metabolism.

    PubMed

    Neven, Lisa G; Lehrman, Nathan J; Hansen, Lee D

    2014-05-01

    The oxygen and capacity limitation of thermal tolerance (OCLTT) has been established in aquatic insect larvae, but OCLTT has not been shown to generally apply to terrestrial insects. Previous research indicates that heat treatments in combination with high concentrations of carbon dioxide and low concentrations of oxygen may be effective for controlling diapausing codling moth, a quarantine pest in walnuts, but treatment requires long times and the killing mechanism is unknown. In this study, the effects of temperature and modified atmospheres on metabolism in diapausing 5th instar codling moth (Cydia pomonella) was investigated with multi-channel differential scanning calorimeters, one equipped with an oxygen sensor. O2 consumption and metabolic heat rates in air were measured simultaneously at isothermal temperatures from 5 to 50°C at 5°C intervals. Both rates increased with increasing temperatures from 5 to 40°C. The ratio of metabolic heat rate to O2 consumption rate at temperatures ≤40°C shows that a portion of the metabolic heat is from normal anabolic reactions of metabolism. At 45 and 50°C in air, O2 consumption and metabolic heat rates dropped to near zero. These results indicate that treatment of walnuts in air at >45°C for a short period of time (minutes) is effective in killing diapausing 5th instar codling moth larvae. Continuous heating scans at 0.4°C/min were used to measure metabolic heat rates from 10 to 50°C with air and modified atmospheres with lowered oxygen and high carbon dioxide. A rapid increase was observed in heat rates above 40°C in scans with O2≥11%. Taken together with the isothermal results showing no metabolic heat production or oxygen uptake at 45 and 50°C, these results demonstrate that thermal damage to cell membranes and loss of control of oxidation reactions is the lethal mechanism at high temperature when O2≥11%. The data from scans with O2≤2% and high CO2 show the effects of oxygen limitation as postulated by

  18. PREFACE: The 5th International Symposium in Quantum Theory and Symmetries (QTS5)

    NASA Astrophysics Data System (ADS)

    Arratia, O.; Calzada, J. A.; Gómez-Cubillo, F.; Negro, J.; del Olmo, M. A.

    2008-02-01

    This volume of Journal of Physics: Conference Series contains the Proceedings of the 5th International Symposium in Quantum Theory and Symmetries (QTS5), held in Valladolid, Spain, 22-28 July 2007. This is the fifth of a series of conferences previously held in Goslar (Germany) 1999, QTS1; Cracow (Poland) 2001, QTS2; Cincinnati (USA) 2003, QTS3, and Varna (Bulgaria) 2005, QTS4. The QTS5 symposium gathered 181 participants from 39 countries working in different fields on Theoretical Physics. The spirit of the QTS conference series is to join researchers in a wide variety of topics in Theoretical Physics, as a way to make accessible recent results and the new lines of different fields. The QTS5 conference offered the following list of topics: Symmetries in String Theory, Quantum Gravity and related Symmetries in Quantum Field Theories, Conformal and Related Field Theories, Lattice and Noncommutative Theories, Gauge Theories Quantum Computing, Information and Control Foundations of Quantum Theory Quantum Optics, Coherent States, Wigner Functions Dynamical and Integrable Systems Symmetries in Condensed Matter and Statistical Physics Symmetries in Particle Physics, Nuclear, Atomic and Molecular Nonlinear Quantum Mechanics Time Asymmetric Quantum Mechanics SUSY Quantum Mechanics, PT symmetries and pseudo-Hamiltonians Mathematical Methods for Symmetries and Quantum Theories Symmetries in Chemistry Biology and other Sciences Papers accepted for publication in the present issue are based on the contributions from the participants in the QTS5 conference after a peer review process. In addition, a special issue of Journal Physics A: Mathematical and Theoretical contains contributions from plenary speakers, some participants as well as contributions from other authors whose works fit into the topics of the conference. The organization of the conference had the following pattern. In the morning there were five plenary or general sessions for all the participants, which aimed to

  19. PREFACE: The 5th International Symposium in Quantum Theory and Symmetries (QTS5)

    NASA Astrophysics Data System (ADS)

    Arratia, O.; Calzada, J. A.; Gómez-Cubillo, F.; Negro, J.; del Olmo, M. A.

    2008-02-01

    This volume of Journal of Physics: Conference Series contains the Proceedings of the 5th International Symposium in Quantum Theory and Symmetries (QTS5), held in Valladolid, Spain, 22-28 July 2007. This is the fifth of a series of conferences previously held in Goslar (Germany) 1999, QTS1; Cracow (Poland) 2001, QTS2; Cincinnati (USA) 2003, QTS3, and Varna (Bulgaria) 2005, QTS4. The QTS5 symposium gathered 181 participants from 39 countries working in different fields on Theoretical Physics. The spirit of the QTS conference series is to join researchers in a wide variety of topics in Theoretical Physics, as a way to make accessible recent results and the new lines of different fields. The QTS5 conference offered the following list of topics: Symmetries in String Theory, Quantum Gravity and related Symmetries in Quantum Field Theories, Conformal and Related Field Theories, Lattice and Noncommutative Theories, Gauge Theories Quantum Computing, Information and Control Foundations of Quantum Theory Quantum Optics, Coherent States, Wigner Functions Dynamical and Integrable Systems Symmetries in Condensed Matter and Statistical Physics Symmetries in Particle Physics, Nuclear, Atomic and Molecular Nonlinear Quantum Mechanics Time Asymmetric Quantum Mechanics SUSY Quantum Mechanics, PT symmetries and pseudo-Hamiltonians Mathematical Methods for Symmetries and Quantum Theories Symmetries in Chemistry Biology and other Sciences Papers accepted for publication in the present issue are based on the contributions from the participants in the QTS5 conference after a peer review process. In addition, a special issue of Journal Physics A: Mathematical and Theoretical contains contributions from plenary speakers, some participants as well as contributions from other authors whose works fit into the topics of the conference. The organization of the conference had the following pattern. In the morning there were five plenary or general sessions for all the participants, which aimed to

  20. PREFACE: The 5th International Symposium on Quantum Theory and Symmetries (QTS5)

    NASA Astrophysics Data System (ADS)

    Gadella, M.; Izquierdo, J. M.; Kuru, S.; Negro, J.; del Olmo, M. A.

    2008-08-01

    This special issue of Journal of Physics A: Mathematical and Theoretical appears on the occasion of the 5th International Symposium on Quantum Theory and Symmetries (QTS5), held in Valladolid, Spain, from 22-28 July 2007. This is the fith in a series of conferences previously held in Goslar (Germany) 1999, QTS1; Cracow (Poland) 2001, QTS2; Cincinnati (USA) 2003, QTS3; and Varna (Bulgaria) 2005, QTS4. The QTS5 symposium gathered 181 participants from 39 countries working in different fields of theoretical physics. The spirit of the QTS conference series is to join researchers in a wide variety of topics in theoretical physics, as a way of making accessible recent results and the new lines of different fields. This is based on the feeling that it is good for a physicist to have a general overview as well as expertise in his/her own field. There are many other conferences devoted to specific topics, which are of interest to gain deeper insight in many technical aspects and that are quite suitable for discussions due to their small size. However, we believe that general conferences like this are interesting and worth keeping. We like the talks, in both plenary and parallel sessions, which are devoted to specific topics, to be prepared so as to be accessible to any researcher in any branch of theoretical physics. We think that this objective is compatible with rigour and high standards. As is well known, similar methods and techniques can be useful for many problems in different fields. We hope that this has been appreciated during the sessions of the QTS5 conference. The QTS5 conference offered the following list of topics: 1. Symmetries in string theory, quantum gravity and related topics 2. Symmetries in quantum field theories, conformal and related field theories, lattice and noncommutative theories, gauge theories 3.Quantum computing, information and control 4. Foundations of quantum theory 5. Quantum optics, coherent states, Wigner functions 6. Dynamical and

  1. Electromyography-based analysis of human upper limbs during 45-day head-down bed-rest

    NASA Astrophysics Data System (ADS)

    Fu, Anshuang; Wang, Chunhui; Qi, Hongzhi; Li, Fan; Wang, Zheng; He, Feng; Zhou, Peng; Chen, Shanguang; Ming, Dong

    2016-03-01

    Muscle deconditioning occurs in response to simulated or actual microgravity. In spaceflight, astronauts become monkey-like for mainly using their upper limbs to control the operating system and to complete corresponding tasks. The changes of upper limbs' athletic ability will directly affect astronauts' working performance. This study investigated the variation trend of surface electromyography (sEMG) during prolonged simulated microgravity. Eight healthy males participating in this study performed strict 45-day head-down bed-rest (HDBR). On the 5th day of pre-HDBR, and the 15th, the 30th and the 45th days of HDBR, the subjects performed maximum pushing task and maximum pulling task, and sEMG was collected from upper limbs synchronously. Each subject's maximum volunteer contractions of both the tasks during these days were compared, showing no significant change. However, changes were detected by sEMG-based analysis. It was found that integrated EMG, root mean square, mean frequency, fuzzy entropy of deltoid, and fuzzy entropy of triceps brachii changed significantly when comparing pre-HDBR with HDBR. The variation trend showed a recovery tendency after significant decline, which is inconsistent with the monotonic variation of lower limbs that was proved by previous research. These findings suggest that EMG changes in upper limbs during prolonged simulated microgravity, but has different variation trend from lower limbs.

  2. Proceedings of the 5th US/German Workshop on Salt Repository Research Design and Operation

    SciTech Connect

    Hansen, Francis D.; Leigh, Christi; Stein, Walter; Bollingerfehr, Wilhelm; Von Berlepsche, Thilo

    2015-01-01

    The 5th US/German Workshop on Salt Repository Research, Design, and Operation was held in Santa Fe New Mexico September 8-10, 2014. The forty seven registered participants were equally divided between the United States (US) and Germany, with one participant from The Netherlands. The agenda for the 2014 workshop was under development immediately upon finishing the 4th Workshop. Ongoing, fundamental topics such as thermomechanical behavior of salt, plugging and sealing, the safety case, and performance assessment continue to advance the basis for disposal of heat-generating nuclear waste in salt formations. The utility of a salt underground research laboratory (URL) remains an intriguing concept engendering discussion of testing protocol. By far the most interest in this years’ workshop pertained to operational safety. Given events at the Waste Isolation Pilot Plant (WIPP), this discussion took on a new sense of relevance and urgency.

  3. Exploratory Factor Analysis of Diagnostic and Statistical Manual, 5th Edition, Criteria for Posttraumatic Stress Disorder.

    PubMed

    McSweeney, Lauren B; Koch, Ellen I; Saules, Karen K; Jefferson, Stephen

    2016-01-01

    One change to the posttraumatic stress disorder (PTSD) nomenclature highlighted in the Diagnostic and Statistical Manual, 5th Edition (DSM-5; American Psychiatric Association, 2013) is the conceptualization of PTSD as a diagnostic category with four distinct symptom clusters. This article presents exploratory factor analysis to test the structural validity of the DSM-5 conceptualization of PTSD via an online survey that included the PTSD Checklist-5. The study utilized a sample of 113 college students from a large Midwestern university and 177 Amazon Mechanical Turk users. Participants were primarily female, Caucasian, single, and heterosexual with an average age of 32 years. Approximately 30% to 35% of participants met diagnostic criteria for PTSD based on two different scoring criteria. Results of the exploratory factor analysis revealed five distinct symptom clusters. The implications for the classification of PTSD are discussed.

  4. Highlights from the 5th Annual Meeting of the Italian Society of Virology.

    PubMed

    Salata, Cristiano; Calistri, Arianna; Palù, Giorgio

    2006-07-01

    The 5th National Congress of the Italian Society of Virology (SIV) was attended by junior- and senior-level virologists to promote interactions and scientific collaborations among the different areas of Virology and allied sciences. The invited and selected lecturers covered the following topics: General Virology and Viral Genetics; Virus-host Interaction and Pathogenesis; Viral Oncogenesis; Viral Immunology and Vaccines; Anti-viral Therapy; Innovative Diagnostics; Viral Biotechnologies and Cell and Gene Therapy. As in the previous editions (Salata and Palù, 2004; Salata et al., 2005), a specific topic was thoroughly covered in a roundtable. This year the elected subject was "HIV: determinants of pathogenicity and clinical implications." The final program and the abstract book can be found at the web site http://www.siv-virologia.it. This report summarizes the lessons learned from the plenary lectures and the selected oral presentations of the 2005 meeting.

  5. Dental health in antique population of Vinkovci - Cibalae in Croatia (3rd-5th century).

    PubMed

    Peko, Dunja; Vodanović, Marin

    2016-08-01

    Roman city Cibalae (Vinkovci) - the birthplace of Roman emperors Valentinian I and Valens was a very well developed urban ares in the late antique what was evidenced by numerous archaeological findings. The aim of this paper is to get insight in dental health of antique population of Cibalae. One hundred individuals with 2041 teeth dated to 3rd - 5th century AD have been analyzed for caries, antemortem tooth loss, periapical diseases and tooth wear. Prevalence of antemortem tooth loss was 4.3% in males, 5.2% in females. Prevalence of caries per tooth was 8.4% in males, 7.0% in females. Compared to other Croatian antique sites, ancient inhabitants of Roman Cibalae had rather good dental health with low caries prevalence and no gender differences. Statistically significant difference was found between males in females in the prevalence of periapical lesions and degree of tooth wear. Periapical lesions were found only in males. PMID:27598951

  6. Recurrent Idiopathic Catatonia: Implications beyond the Diagnostic and Statistical Manual of Mental Disorders 5th Edition.

    PubMed

    Caroff, Stanley N; Hurford, Irene; Bleier, Henry R; Gorton, Gregg E; Campbell, E Cabrina

    2015-08-31

    We describe a case of recurrent, life-threatening, catatonic stupor, without evidence of any associated medical, toxic or mental disorder. This case provides support for the inclusion of a separate category of "unspecified catatonia" in the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5) to be used to classify idiopathic cases, which appears to be consistent with Kahlbaum's concept of catatonia as a distinct disease state. But beyond the limited, cross-sectional, syndromal approach adopted in DSM-5, this case more importantly illustrates the prognostic and therapeutic significance of the longitudinal course of illness in differentiating cases of catatonia, which is better defined in the Wernicke-Kleist-Leonhard classification system. The importance of differentiating cases of catatonia is further supported by the efficacy of antipsychotics in treatment of this case, contrary to conventional guidelines.

  7. APTWG: The 5th Asia-Pacific Transport Working Group Meeting

    NASA Astrophysics Data System (ADS)

    Gao, X.; Ghim, Y.-C.; Sun, Y. W.; Gao, Z.; Inagaki, S.; Chen, W.; Zhang, T.; Wang, Z. X.

    2016-03-01

    This conference report gives a summary on the contributed papers and discussions presented at the 5th Asia-Pacific Transport Working Group Meeting held at Dalian, China from 9-12 June 2015. The main goal of the working group is to develop a predictive understanding of the basic mechanisms responsible for particle, momentum and energy transport in magnetically confined plasmas. The topics of the meeting in 2015 were organized under five main headings: (1) turbulence suppression and transport barrier formation, (2) effect of magnetic topology on MHD activity and transport, (3) non-diffusive contribution of momentum and particle transport, (4) non-local transport and turbulence spreading and coupling and (5) energetic particles and instability. The Young Researchers’ Forum which was held at this meeting is also described in this report.

  8. Theoretical studies of Ir5Th and Ir5Ce nanoscale precipitates in Ir

    SciTech Connect

    Morris, James R; Averill, Frank; Cooper, Valentino R

    2014-01-01

    Experimentally, it is known that very small amounts of thorium and/or cerium added to iridium metal form a precipitate, Ir5Th / Ir5Ce, which improves the high temperature mechanical properties of the resulting alloys. We demonstrate that there are low-energy configurations for nano-scale precipitates of these phases in Ir, and that these coherent arrangements may assist in producing improved mechanical properties. One precipitate/matrix orientation gives a particularly low interfacial energy, and a low lattice misfit. Nanolayer precipitates with this orientation are found to be likely to form, with little driving force to coarsen. The predicted morphology of the precipitates and their orientation with the matrix phase provide a potential experiment that could be used to test these predictions.

  9. Fuzzy associative memories

    NASA Technical Reports Server (NTRS)

    Kosko, Bart

    1991-01-01

    Mappings between fuzzy cubes are discussed. This level of abstraction provides a surprising and fruitful alternative to the propositional and predicate-calculas reasoning techniques used in expert systems. It allows one to reason with sets instead of propositions. Discussed here are fuzzy and neural function estimators, neural vs. fuzzy representation of structured knowledge, fuzzy vector-matrix multiplication, and fuzzy associative memory (FAM) system architecture.

  10. Universal Approximation of Mamdani Fuzzy Controllers and Fuzzy Logical Controllers

    NASA Technical Reports Server (NTRS)

    Yuan, Bo; Klir, George J.

    1997-01-01

    In this paper, we first distinguish two types of fuzzy controllers, Mamdani fuzzy controllers and fuzzy logical controllers. Mamdani fuzzy controllers are based on the idea of interpolation while fuzzy logical controllers are based on fuzzy logic in its narrow sense, i.e., fuzzy propositional logic. The two types of fuzzy controllers treat IF-THEN rules differently. In Mamdani fuzzy controllers, rules are treated disjunctively. In fuzzy logic controllers, rules are treated conjunctively. Finally, we provide a unified proof of the property of universal approximation for both types of fuzzy controllers.

  11. 78 FR 48869 - Filing Dates for the Massachusetts Special Elections in the 5th Congressional District

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-12

    ... December 10, 2013, shall file a 12-day Pre-Primary Report, 12-day Pre-General Report, and Post-General..., 2013; a 12-day Pre- General Report on November 28, 2013; and a Post-General Report on January 21, 2014... the Special Primary Election on October 15, 2013, shall file a 12-day Pre-Primary Report....

  12. Emotions, arousal, and frontal alpha rhythm asymmetry during Beethoven's 5th symphony.

    PubMed

    Mikutta, Christian; Altorfer, Andreas; Strik, Werner; Koenig, Thomas

    2012-10-01

    Music is capable of inducing emotional arousal. While previous studies used brief musical excerpts to induce one specific emotion, the current study aimed to identify the physiological correlates of continuous changes in subjective emotional states while listening to a complete music piece. A total of 19 participants listened to the first movement of Ludwig van Beethoven's 5th symphony (duration: ~7.4 min), during which a continuous 76-channel EEG was recorded. In a second session, the subjects evaluated their emotional arousal during the listening. A fast fourier transform was performed and covariance maps of spectral power were computed in association with the subjective arousal ratings. Subjective arousal ratings had good inter-individual correlations. Covariance maps showed a right-frontal suppression of lower alpha-band activity during high arousal. The results indicate that music is a powerful arousal-modulating stimulus. The temporal dynamics of the piece are well suited for sequential analysis, and could be necessary in helping unfold the full emotional power of music.

  13. The 5th Symposium on Post-Transcriptional Regulation of Plant Gene Expression (PTRoPGE)

    SciTech Connect

    Karen S. Browning; Marie Petrocek; Bonnie Bartel

    2006-06-01

    The 5th Symposium on Post-Transcriptional Regulation of Plant Gene Expression (PTRoPGE) will be held June 8-12, 2005 at the University of Texas at Austin. Exciting new and ongoing discoveries show significant regulation of gene expression occurs after transcription. These post-transcriptional control events in plants range from subtle regulation of transcribed genes and phosphorylation, to the processes of gene regulation through small RNAs. This meeting will focus on the regulatory role of RNA, from transcription, through translation and finally degradation. The cross-disciplinary design of this meeting is necessary to encourage interactions between researchers that have a common interest in post-transcriptional gene expression in plants. By bringing together a diverse group of plant molecular biologist and biochemists at all careers stages from across the world, this meeting will bring about more rapid progress in understanding how plant genomes work and how genes are finely regulated by post-transcriptional processes to ultimately regulate cells.

  14. Science teaching efficacy beliefs of 5th and 8th grade science teachers

    NASA Astrophysics Data System (ADS)

    Hanson, Susan Melony

    The purpose of this study was to determine which, if any, variables had a significant relationship to personal science teaching efficacy beliefs and outcome expectancies. The independent variables tested were number of undergraduate science methods courses taken, level of teacher education, number of years as a classroom teacher, number of years as a science teacher, teacher beliefs regarding instructional strategies in science, and teacher beliefs regarding student engagement in the science classroom. Through surveys completed by 5th and 8th grade science teachers, the researcher analyzed data via multiple regressions to determine significance. Results of the data analysis showed the greatest significance was between personal science teaching efficacy beliefs and number of years as a classroom teacher, and teacher beliefs regarding instructional strategies in science and outcome expectancy and student engagement in the science classroom. Implications for current practice include a need for improved teacher education programs for pre-service science teachers, collaboration between universities and public school districts, improved methods for teacher retention in the science classroom, and the use of hands-on and minds-on instruction in the science classroom.

  15. Two Successful Outreach Programs at Storm Peak Laboratory: GRASP for Undergraduates and Partnership for 5th Grade Science Education

    NASA Astrophysics Data System (ADS)

    Hallar, A. G.; McCubbin, I. B.; Wright, J.

    2007-12-01

    The Desert Research Institute operates a high elevation facility, Storm Peak Laboratory (SPL), located on the Steamboat Springs Ski Resort at an elevation 10,500 ft. SPL provides an ideal location for long-term atmospheric research. The SPL mission statement is to ensure that the laboratory will continue to integrate climate research and education by advancing discovery and understanding within the field of pollution, aerosol and cloud interactions. During the last year, SPL has created two successful outreach programs reaching very different audiences. First, to engage students from local elementary schools, SPL established a 5th grade climate education program. This program is based on a partnership between SPL and Yampatika's&penvironmental educators. Yampatika is a non-profit outdoor environmental education organization. The program spans three days for each school and includes five elementary schools. During the first day, educators from Yampatika visit each classroom to introduce the concepts of climate and weather as well as teach students how to use scientific equipment. During the field program on the second day, students measure and record information about temperature, pressure, relative humidity, wind speed, and particle concentration while they travel to SPL via the gondola (in winter) or Suburban (in fall). Once at the laboratory, students tour the facility, discuss SPL research activities, and explore application of these activities to their curriculum. Following the field trip, Yampatika educators and SPL scientists will visit the school for a follow-up to help children explore concepts, answer questions, and evaluate students" learning. The second program, Geoscience Research at Storm Peak (GRASP), was designed to engage students from underrepresented groups and created a partnership between three Minority Serving Institutions and the University of Nevada, Reno (UNR). Undergraduate students from Tennessee State University, Howard University

  16. Fuzzy logic controller optimization

    DOEpatents

    Sepe, Jr., Raymond B; Miller, John Michael

    2004-03-23

    A method is provided for optimizing a rotating induction machine system fuzzy logic controller. The fuzzy logic controller has at least one input and at least one output. Each input accepts a machine system operating parameter. Each output produces at least one machine system control parameter. The fuzzy logic controller generates each output based on at least one input and on fuzzy logic decision parameters. Optimization begins by obtaining a set of data relating each control parameter to at least one operating parameter for each machine operating region. A model is constructed for each machine operating region based on the machine operating region data obtained. The fuzzy logic controller is simulated with at least one created model in a feedback loop from a fuzzy logic output to a fuzzy logic input. Fuzzy logic decision parameters are optimized based on the simulation.

  17. 5th International conference on Physics and Astrophysics of Quark Gluon Plasma

    NASA Astrophysics Data System (ADS)

    Sinha, Bikash; Alam, Jan-E.; Nayak, Tapan K.

    2006-11-01

    The 5th International Conference on Physics and Astrophysics of Quark Gluon Plasma (ICPAQGP 2005) was held on 8 - 12 February 2005 at the Variable Energy Cyclotron Centre and Saha Institute of Nuclear Physics campus, Kolkata, India. The conference was enriched by the august presence of about 300 participants representing 18 countries across the globe. It had plenary talks and oral presentations, which form a part of these proceedings. Besides invited and contributed talks there were also a large number of poster presentations. The conference was energized by discussions of fresh experimental data from RHIC on strong elliptic flow, jet quenching, single photon spectra etc. Moreover, new theoretical results were brought to the discussion forum during this conference. Colour glass condensates, hydrodynamical flow, jet quenching and sQGP were intensely debated by the participants. The highlight of ICPAQGP 2005 was the presentation of fresh experimental results from the RHIC-IV run. The ICPAQGP series, since its inception in 1988, has placed emphasis on the role of quark matter in the fields of astrophysics and cosmology. The subsequent conferences held in 1993, 1997, 2001 and 2005 had also retained this focus. The conference was preceded by a Fest Colloquium in honour of Professor Bikash Sinha. Professor Sinha, regarded as the pioneer in establishing quark gluon plasma research in India, has successfully encouraged a group of young Indian researchers to devote themselves wholeheartedly to QGP research - both theoretical and experimental. Members of the International Advisory Committee played a pivotal role mainly in the selection of speakers. The contributions of the Organizing Committee in all aspects, from selecting the contributory talks posters down to arranging local hospitality, were much appreciated. We thank the members of both committees for making ICPAQGP 2005 an interesting platform for scientific deliberation. The ICPAQGP 2005 was supported financially by

  18. Development of a Three-Dimensional Finite Element Chest Model for the 5(th) Percentile Female.

    PubMed

    Kimpara, Hideyuki; Lee, Jong B; Yang, King H; King, Albert I; Iwamoto, Masami; Watanabe, Isao; Miki, Kazuo

    2005-11-01

    Several three-dimensional (3D) finite element (FE) models of the human body have been developed to elucidate injury mechanisms due to automotive crashes. However, these models are mainly focused on 50(th) percentile male. As a first step towards a better understanding of injury biomechanics in the small female, a 3D FE model of a 5(th) percentile female human chest (FEM-5F) has been developed and validated against experimental data obtained from two sets of frontal impact, one set of lateral impact, two sets of oblique impact and a series of ballistic impacts. Two previous FE models, a small female Total HUman Model for Safety (THUMS-AF05) occupant version 1.0Beta (Kimpara et al. 2002) and the Wayne State University Human Thoracic Model (WSUHTM, Wang 1995 and Shah et al. 2001) were integrated and modified for this model development. The model incorporated not only geometrical gender differences, such as location of the internal organs and structure of the bony skeleton, but also the biomechanical differences of the ribs due to gender. It includes a detailed description of the sternum, ribs, costal cartilage, thoracic spine, skin, superficial muscles, intercostal muscles, heart, lung, diaphragm, major blood vessels and simplified abdominal internal organs and has been validated against a series of six cadaveric experiments on the small female reported by Nahum et al. (1970), Kroell et al. (1974), Viano (1989), Talantikite et al. (1998) and Wilhelm (2003). Results predicted by the model were well-matched to these experimental data for a range of impact speeds and impactor masses. More research is needed in order to increase the accuracy of predicting rib fractures so that the mechanisms responsible for small female injury can be more clearly defined. PMID:17096277

  19. Patterns of Irregular Burials in Western Europe (1st-5th Century A.D.)

    PubMed Central

    Milella, Marco; Mariotti, Valentina; Belcastro, Maria Giovanna; Knüsel, Christopher J.

    2015-01-01

    Background Irregular burials (IB—burials showing features that contrast with the majority of others in their geographic and chronological context) have been the focus of archaeological study because of their relative rarity and enigmatic appearance. Interpretations of IB often refer to supposed fear of the dead or to social processes taking place in time-specific contexts. However, a comprehensive and quantitative analysis of IB for various geographical contexts is still lacking, a fact that hampers any discussion of these burials on a larger scale. Methods Here, we collected a bibliographic dataset of 375 IB from both Britain and Continental Europe, altogether spanning a time period from the 1st to the 5th century AD. Each burial has been coded according to ten dichotomous variables, further analyzed by means of chi-squared tests on absolute frequencies, non-metric multidimensional scaling, and cluster analysis. Results Even acknowledging the limits of this study, and in particular the bias represented by the available literature, our results point to interesting patterns. Geographically, IB show a contrast between Britain and Continental Europe, possibly related to historical processes specific to these regions. Different types of IB (especially prone depositions and depositions with the cephalic extremity displaced) present a series of characteristics and associations between features that permit a more detailed conceptualization of these occurrences from a socio-cultural perspective that aids to elucidate their funerary meaning. Conclusions and Significance Altogether, the present work stresses the variability of IB, and the need to contextualize them in a proper archaeological and historical context. It contributes to the discussion of IB by providing a specific geographic and chronological frame of reference that supports a series of hypotheses about the cultural processes possibly underlying their occurrence. PMID:26115408

  20. Fuzzy Logic Engine

    NASA Technical Reports Server (NTRS)

    Howard, Ayanna

    2005-01-01

    The Fuzzy Logic Engine is a software package that enables users to embed fuzzy-logic modules into their application programs. Fuzzy logic is useful as a means of formulating human expert knowledge and translating it into software to solve problems. Fuzzy logic provides flexibility for modeling relationships between input and output information and is distinguished by its robustness with respect to noise and variations in system parameters. In addition, linguistic fuzzy sets and conditional statements allow systems to make decisions based on imprecise and incomplete information. The user of the Fuzzy Logic Engine need not be an expert in fuzzy logic: it suffices to have a basic understanding of how linguistic rules can be applied to the user's problem. The Fuzzy Logic Engine is divided into two modules: (1) a graphical-interface software tool for creating linguistic fuzzy sets and conditional statements and (2) a fuzzy-logic software library for embedding fuzzy processing capability into current application programs. The graphical- interface tool was developed using the Tcl/Tk programming language. The fuzzy-logic software library was written in the C programming language.

  1. Japanese advances in fuzzy systems research

    NASA Astrophysics Data System (ADS)

    Schwartz, Daniel G.

    1992-07-01

    During this past summer (1991), I spent two months on an appointment as visiting researcher at Kansai University, Osaka, Japan, and five weeks at the Laboratory for International Fuzzy Engineering Research (LIFE), in Yokohama. Part of the expenses for the time in Osaka, and all the expenses for the visit at LIFE, were covered by ONR. While there I met with most of the key researchers in both fuzzy systems and case-based reasoning. This involved trips to numerous universities and research laboratories at Matsushita/Panasonic, Omron, and Hitachi Corporations. In addition, I spent three days at the Fuzzy Logic Systems Institute (FLSI), Iizuka, and I attended the annual meeting of the Japan Society for Fuzzy Theory and Research (SOFT-91) in Nagoya. The following report elaborates what I learned as a result of those activities.

  2. Communicating Science to Impact Learning? A Phenomenological Inquiry into 4th and 5th Graders' Perceptions of Science Information Sources

    ERIC Educational Resources Information Center

    Gelmez Burakgazi, Sevinc; Yildirim, Ali; Weeth Feinstein, Noah

    2016-01-01

    Rooted in science education and science communication studies, this study examines 4th and 5th grade students' perceptions of science information sources (SIS) and their use in communicating science to students. It combines situated learning theory with uses and gratifications theory in a qualitative phenomenological analysis. Data were gathered…

  3. WWW.com: A Brief Intervention to Bolster a 5th Grader's Regrouping Skills in Math

    ERIC Educational Resources Information Center

    Waugh, Matthew; Harrison, Gina L.

    2014-01-01

    This study examined the efficacy of a brief math intervention using cognitive behaviour instruction (CBI) supplemented by a mnemonic cue system for a 5th grade student with math computation and fluency difficulties. Regrouping operations in addition and subtraction were the targeted skills. Curriculum-based measurements were conducted at the end…

  4. Comparing Science Learning among 4th-, 5th-, and 6th-Grade Students: STS versus Textbook-Based Instruction

    ERIC Educational Resources Information Center

    Yager, Robert E.; Choi, AeRan; Yager, Stuart O.; Akcay, Hakan

    2009-01-01

    Fifteen 4th-, 5th-, and 6th-grade teachers from five school districts each taught two sections of science--one with a Science-Technology-Society (STS) approach and the other with a more traditional textbook approach in which basic science concepts were the major organizers. Local, current, and personally relevant issues provided the context and…

  5. Process Evaluation of "Learn Young, Learn Fair": A Stress Management Programme for 5th and 6th Graders

    ERIC Educational Resources Information Center

    Kraag, Gerda; Van Breukelen, Gerard; Lamberts, Petra; Vugts, Odette; Kok, Gerjo; Fekkes, Minne; Abu-Saad, Huda Huijer

    2007-01-01

    This article describes the process evaluation of a stress management program called "Learn Young, Learn Fair" for 5th and 6th graders. Studies, reviews and meta-analyses of prevention programs report that a common limitation in studies is the restricted documentation of process factors that contribute to the success of interventions. Program…

  6. Using Functional Behavior Assessment to Match Task Difficulty for a 5th Grade Student: A Case Study

    ERIC Educational Resources Information Center

    Haydon, Todd

    2012-01-01

    We used an AB design with a control condition to examine the effects of an academic strategy on a student with a learning disability during a 5th grade math class. During baseline the student had high rates of disruptive behavior, low percentages of intervals of on-task behavior, and low percentages of correct responses. An antecedent-based…

  7. Proceedings of the International Conference on Educational Data Mining (EDM) (5th, Chania, Greece, June 19-21, 2012)

    ERIC Educational Resources Information Center

    International Educational Data Mining Society, 2012

    2012-01-01

    The 5th International Conference on Educational Data Mining (EDM 2012) is held in picturesque Chania on the beautiful Crete island in Greece, under the auspices of the International Educational Data Mining Society (IEDMS). The EDM 2012 conference is a leading international forum for high quality research that mines large data sets of educational…

  8. Brief Report: Data on the Stanford-Binet Intelligence Scales (5th Ed.) in Children with Autism Spectrum Disorder

    ERIC Educational Resources Information Center

    Coolican, Jamesie; Bryson, Susan E.; Zwaigenbaum, Lonnie

    2008-01-01

    The Fifth Edition of the Stanford-Binet Intelligence Scales (SB5; Roid, G. H. (2003). "Stanford Binet intelligence scales" (5th ed.). Itasca, IL: Riverside Publishing) is relatively new, with minimal published research on general populations and none with special populations. The present study provides information on the cognitive profiles of…

  9. Recurrent fuzzy ranking methods

    NASA Astrophysics Data System (ADS)

    Hajjari, Tayebeh

    2012-11-01

    With the increasing development of fuzzy set theory in various scientific fields and the need to compare fuzzy numbers in different areas. Therefore, Ranking of fuzzy numbers plays a very important role in linguistic decision-making, engineering, business and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques has been shown to produce non-intuitive results in certain case. In this paper, we reviewed some recent ranking methods, which will be useful for the researchers who are interested in this area.

  10. PREFACE: 5th International EEIGM/AMASE/FORGEMAT Conference on Advanced Materials Research

    NASA Astrophysics Data System (ADS)

    Ayadi, Zoubir; Czerwiec, Thierry; Horwat, David; Jamart, Brigitte

    2009-07-01

    This issue of IOP Conference Series: Materials Science and Engineering, contains manuscripts of talks that will be presented at the 5th International EEIGM/AMASE/FORGEMAT Conference on Advanced Materials Research that will be held at the Ecole Européenne d'Ingénieurs en Génie des Matériaux - European School of Materials Science and Engineering (EEIGM) in Nancy on November 4-5 2009. The conference will be organized by the EEIGM. The aim of the conference is to bring together scientists from the six European universities involved in the EEIGM and in the ''Erasmus Mundus'' AMASE Master (Advanced Materials Science and Engineering) programmes and in the Tempus FORGEMAT European project: Nancy-Université - EEIGM/INPL (Nancy, France), Universität des Saarlandes (Saarbrücken, Germany), Universitat Politècnica de Catalunya - ETSEIB (Barcelona, Spain), Luleå Tekniska Universitet (Luleå, Sweden), Universidad Politecnica de Valencia - ETSII (Valencia, Spain) and AGH University of Science and Technology, (Kralow, Poland). This conference is also open to other universities who have strong links with the EEIGM and it will provide a forum for exchange of ideas, cooperation and future directions by means of regular presentations, posters and a round-table discussion. After careful refereeing of all manuscripts, equally shared between the four editors, 26 papers have been selected for publication in this issue. The papers are grouped together into different subject categories: polymers, metallurgy, ceramics, composites and nanocomposites, simulation and characterization. The editors would like to take this opportunity to thank all the participants who submitted their manuscripts during the conference and responded in time to the editors' request at every stage from reviewing to final acceptance. The editors are indebted to all the reviewers for painstakingly reviewing the papers at very short notice. Special thanks are called for the sponsors of the conference including

  11. Health in the 5th 5-years Development Plan of Iran: Main Challenges, General Policies and Strategies.

    PubMed

    Vosoogh Moghaddam, A; Damari, B; Alikhani, S; Salarianzedeh, Mh; Rostamigooran, N; Delavari, A; Larijani, B

    2013-01-01

    Access to the right to the highest attainable level of health is a constitutional right that obliges governments and other players to take step to increase all individuals' chances of obtaining good health. At the least, health and education are two crucial requirements for this as well. Iran's vision 2025 is going to lead the country to a developed state with the highest rank of economic, scientific and technological status in the region. Enjoying health, welfare, food security, social security, equal opportunities, etc, are also considered as part of characteristics of Iranian society in 2025. Although health system of Iran has many achievements in providing health services specially for the poor following the Islamic Revolution of 1979, but the evidences gathered to develop the 5(th) 5-years economical, social and cultural plan (5(th)5YDP:2011-2015), listed a variety of main challenges in stewardship, financing, resources generation and service provision functions of the existing health system. Thus, to overcome the main challenges, about 11% of general policies of 5(th)5YDP are directly address health related issues with emphasizing on healthy human and comprehensive health approach with considering: Integration of policy making, planning, evaluation, supervision and public financing; Developing both quantity and quality of health insurance system and reducing out-of-pocket expenditures for health services to 30% by the end of the 5th plan. The strategies of 5(th)5YDP adopted by the parliament as an Act will change the health system fundamentally through tuning the main drivers; so, its implementation needs brave leaders, capable managers, motivated technical staff and social mobilization. PMID:23865015

  12. Health in the 5th 5-years Development Plan of Iran: Main Challenges, General Policies and Strategies.

    PubMed

    Vosoogh Moghaddam, A; Damari, B; Alikhani, S; Salarianzedeh, Mh; Rostamigooran, N; Delavari, A; Larijani, B

    2013-01-01

    Access to the right to the highest attainable level of health is a constitutional right that obliges governments and other players to take step to increase all individuals' chances of obtaining good health. At the least, health and education are two crucial requirements for this as well. Iran's vision 2025 is going to lead the country to a developed state with the highest rank of economic, scientific and technological status in the region. Enjoying health, welfare, food security, social security, equal opportunities, etc, are also considered as part of characteristics of Iranian society in 2025. Although health system of Iran has many achievements in providing health services specially for the poor following the Islamic Revolution of 1979, but the evidences gathered to develop the 5(th) 5-years economical, social and cultural plan (5(th)5YDP:2011-2015), listed a variety of main challenges in stewardship, financing, resources generation and service provision functions of the existing health system. Thus, to overcome the main challenges, about 11% of general policies of 5(th)5YDP are directly address health related issues with emphasizing on healthy human and comprehensive health approach with considering: Integration of policy making, planning, evaluation, supervision and public financing; Developing both quantity and quality of health insurance system and reducing out-of-pocket expenditures for health services to 30% by the end of the 5th plan. The strategies of 5(th)5YDP adopted by the parliament as an Act will change the health system fundamentally through tuning the main drivers; so, its implementation needs brave leaders, capable managers, motivated technical staff and social mobilization.

  13. Fuzzy branching temporal logic.

    PubMed

    Moon, Seong-ick; Lee, Kwang H; Lee, Doheon

    2004-04-01

    Intelligent systems require a systematic way to represent and handle temporal information containing uncertainty. In particular, a logical framework is needed that can represent uncertain temporal information and its relationships with logical formulae. Fuzzy linear temporal logic (FLTL), a generalization of propositional linear temporal logic (PLTL) with fuzzy temporal events and fuzzy temporal states defined on a linear time model, was previously proposed for this purpose. However, many systems are best represented by branching time models in which each state can have more than one possible future path. In this paper, fuzzy branching temporal logic (FBTL) is proposed to address this problem. FBTL adopts and generalizes concurrent tree logic (CTL*), which is a classical branching temporal logic. The temporal model of FBTL is capable of representing fuzzy temporal events and fuzzy temporal states, and the order relation among them is represented as a directed graph. The utility of FBTL is demonstrated using a fuzzy job shop scheduling problem as an example. PMID:15376850

  14. Fuzzy Sets and Mathematical Education.

    ERIC Educational Resources Information Center

    Alsina, C.; Trillas, E.

    1991-01-01

    Presents the concept of "Fuzzy Sets" and gives some ideas for its potential interest in mathematics education. Defines what a Fuzzy Set is, describes why we need to teach fuzziness, gives some examples of fuzzy questions, and offers some examples of activities related to fuzzy sets. (MDH)

  15. EDITORIAL: 5th International Symposium on Particle Image Velocimetry, PIV'03

    NASA Astrophysics Data System (ADS)

    Sung, Hyung Jin; Kim, Kyung Chun; Lee, Sang Joon

    2004-06-01

    The advent of particle image velocimetry (PIV) in the late 20th century brought about a paradigm change in the technique of flow field measurement, from point measurement to field measurement. This revolution is a result of the recent advances in computers, video cameras, optics and lasers and a deeper understanding of the theory of image processing, and such advances continue by keeping pace with leading-edge technologies such as biotechnology, nanotechnology and so forth. Recently, the PIV technique has been extended in new directions such as stereoscopic PIV, holographic PIV, dynamic PIV, micro PIV and simultaneous PLIF/PIV techniques. This special issue contains research dealing with many of the most recent developments in PIV. The papers were selected from more than 120 papers presented at the 5th International Symposium on Particle Image Velocimetry (PIV'03) held in Busan, Korea, during 22-24 September 2003. Special thanks are due to the invited speakers who have contributed their original work to this special issue, which will enhance the academic reputation of Measurement Science and Technology (MST). Fourteen papers were selected by the Scientific Committee of PIV'03. After the standard refereeing process of MST, nine papers were finally accepted for publication. The selected papers can be categorized into three groups: new PIV algorithms and evaluation methods, three-dimensional velocity field measurement techniques and micro/bio PIV applications. As a new PIV technique, Lecuona et al introduced PIV evaluation algorithms for industrial applications having high shear flow structures. Billy et al used a single-pixel-based cross-correlation method for measuring flow inside a microchannel. Foucaut et al carried out PIV optimization using spectral analysis for the study of turbulent flows. Doh et al applied a 3D PTV method to the wake behind a sphere using three CCD cameras. Hori and Sakakibara developed a high-speed scanning stereoscopic PIV system and

  16. PREFACE: 5th International Workshop on Top Quark Physics (TOP2012)

    NASA Astrophysics Data System (ADS)

    Salamanna, G.; Boisvert, V.; Cerrito, L.; Khan, A.; Moretti, S.; Owen, M.; Schwanenberger, C.

    2013-07-01

    The 5th International Workshop on Top Quark Physics (TOP 2012) took place in Winchester, UK, from the 16-21 September. It gathered students as well as people active in the top quark sector and provided a framework to highlight the newest results and matters related to top quark physics. Discovered in 1995, the top quark is the sixth and heaviest of all quarks, and it is the only one with a lifetime short enough to be observed 'naked'. This makes it an important testing ground in the search for new physics. In fact, the fact of its mass being so much larger than the other quarks, hints at its special role in the Higgs mechanism. For the same reason, in many models of New Physics, new heavy resonances are expected to couple mostly with top quarks. Even if no new particles are observed, the direct correlation between its angular momentum and that of its detectable decay products allows us to probe indirectly New Physics in action when top quarks are created. In this edition of the TOP conference series, for the first time, the agenda was equally balanced between 'traditional' measurements and the now vast number of searches for physics BSM in the top quark sector, thanks mostly to the amount of data collected at the LHC in its Run I. New results were presented by both the Tevatron and the LHC collaborations: improved ttbar and single top cross-section measurements, refined techniques to measure the top quark mass and a large number of results on properties such as spin correlation and W boson polarization in top quark decays were shown. More technical discussions on the experimental issues, both from the detector and the simulation side also took place, drawing together experimentalists and theorists. Reviews of the latest results on ttbar asymmetry both from CDF and D0 and from ATLAS and CMS were shown, and theorists active in the field made some interesting points on this hot topic. Additionally, results on the search for fourth generation fermions and new

  17. PREFACE: The 5th International Conference on Radiotherapy Gel Dosimetry (DOSGEL 2008)

    NASA Astrophysics Data System (ADS)

    Maris, Thomas G.; Pappas, Evangelos

    2009-07-01

    The International Conference on Radiotherapy Gel Dosimetry (DOSGEL) is held every two years. Its purpose is to bring together basic science and clinical researchers, medical physicists and clinicians from around the world to discuss the state-of-the-art of the gel dosimetry technique and to set the directions and trends for its future improvements. Gel dosimetry can be broadly defined as using a gel that can react to the absorption of ionizing radiation, and that can retain this information which can subsequently be retrieved by an external imaging modality. Examples of radiation-sensitive gels include, but are not limited to, polymer gel dosimeters, Fricke gel dosimeters and others. Imaging modalities that are of general use in this field are (in alphabetical order) magnetic resonance imaging (MRI), optical light computed tomography and x-ray computed tomography. This volume comprises the proceedings of the 5th International Conference on Radiotherapy Gel Dosimetry (DOSGEL 2008). The conference, organised by the University of Crete, Medical Physics Department, took place in Hersonissos, Crete, Greece from 29 September to 3 October 2008. The meeting aimed to continue the series of biannual DOSGEL conferences and focused on the promotion of gel dosimetry techniques by setting the trends for their future improvements. The main scientific session topics of DOSGEL 2008 were the following: Chemistry and fundamental properties of polymer gel dosimeters Gel dosimetry with Optical Computed Tomography Gel dosimetry with Magnetic Resonance Imaging Gel dosimetry with other than Optical CT and MR scan Techniques Other 3D dosimeters Gel dosimetry applications Local Organizing Committee Thomas G Maris (University of Crete, Greece, Chairman DOSGEL 2008) John Damilakis (University of Crete, Greece) Evangelos Pappas (University of Crete, Greece) Antonios Papadakis (University of Crete, Greece) Fotini Zacharopoulou (University of Crete, Greece) John Stratakis (University of Crete

  18. Introduction to Fuzzy Set Theory

    NASA Technical Reports Server (NTRS)

    Kosko, Bart

    1990-01-01

    An introduction to fuzzy set theory is described. Topics covered include: neural networks and fuzzy systems; the dynamical systems approach to machine intelligence; intelligent behavior as adaptive model-free estimation; fuzziness versus probability; fuzzy sets; the entropy-subsethood theorem; adaptive fuzzy systems for backing up a truck-and-trailer; product-space clustering with differential competitive learning; and adaptive fuzzy system for target tracking.

  19. Mountain Medicine Papers. Proceedings of the Mountain Medicine Symposium (5th, Issaquah, Washington, 1976).

    ERIC Educational Resources Information Center

    Mitchell, Dick; And Others

    The proceedings of the fifth symposium on mountain and survival medicine include the program for the 4-day conference which was addressed by 21 guest lecturers from Canada, Nepal, and the United States. The proceedings include abstracts for and background information on the authors of 17 papers. It also includes the texts of 13 symposium papers:…

  20. Overview of the 80(th) Annual Scientific Meeting of the Japanese Circulation Society - The Past, Present and Future of Cardiovascular Medicine in Japan - - The 5(th) Anniversary of the Great East Japan Earthquake.

    PubMed

    Takahashi, Jun; Satoh, Kimio; Fukuda, Koji; Sugimura, Koichiro; Matsumoto, Yasuharu; Nakano, Makoto; Tsuburaya, Ryuji; Aoki, Tatsuo; Hao, Kiyotaka; Nishimiya, Kensuke; Ito, Kenta; Sakata, Yasuhiko; Shimokawa, Hiroaki

    2016-07-25

    The 80(th)Annual Scientific Meeting of the Japanese Circulation Society was held in Sendai, Japan, on March 18-20, 2016, which coincided with the 5(th)anniversary of the Great East Japan Earthquake that hit the Tohoku area on March 11, 2011. Thus, the main themes for this meeting were "The Past, Present and Future of Cardiovascular Medicine in Japan" and "The 5(th)Anniversary of the Great East Japan Earthquake". Despite the provincial location, approximately 15,000 people attended during the 3-day meeting, and there were in-depth discussions in each of the various sessions on these themes. Especially, to our great pleasure, the Japanese Royals, Emperor Akihito and Empress Michiko, kindly visited the panel exhibition of the Great East Japan Earthquake and spoke words of appreciation to us. The meeting successfully completed and we sincerely appreciate the great cooperation and support from all affiliates. (Circ J 2016; 80: 1689-1694).

  1. Overview of the 80(th) Annual Scientific Meeting of the Japanese Circulation Society - The Past, Present and Future of Cardiovascular Medicine in Japan - - The 5(th) Anniversary of the Great East Japan Earthquake.

    PubMed

    Takahashi, Jun; Satoh, Kimio; Fukuda, Koji; Sugimura, Koichiro; Matsumoto, Yasuharu; Nakano, Makoto; Tsuburaya, Ryuji; Aoki, Tatsuo; Hao, Kiyotaka; Nishimiya, Kensuke; Ito, Kenta; Sakata, Yasuhiko; Shimokawa, Hiroaki

    2016-07-25

    The 80(th)Annual Scientific Meeting of the Japanese Circulation Society was held in Sendai, Japan, on March 18-20, 2016, which coincided with the 5(th)anniversary of the Great East Japan Earthquake that hit the Tohoku area on March 11, 2011. Thus, the main themes for this meeting were "The Past, Present and Future of Cardiovascular Medicine in Japan" and "The 5(th)Anniversary of the Great East Japan Earthquake". Despite the provincial location, approximately 15,000 people attended during the 3-day meeting, and there were in-depth discussions in each of the various sessions on these themes. Especially, to our great pleasure, the Japanese Royals, Emperor Akihito and Empress Michiko, kindly visited the panel exhibition of the Great East Japan Earthquake and spoke words of appreciation to us. The meeting successfully completed and we sincerely appreciate the great cooperation and support from all affiliates. (Circ J 2016; 80: 1689-1694). PMID:27385500

  2. Summative assessment of 5th year medical students’ clinical reasoning by script concordance test: requirements and challenges

    PubMed Central

    2012-01-01

    Background The Script Concordance Test (SCT) has not been reported in summative assessment of students across the multiple domains of a medical curriculum. We report the steps used to build a test for summative assessment in a medical curriculum. Methods A 51 case, 158-question, multidisciplinary paper was constructed to assess clinical reasoning in 5th-year. 10–16 experts in each of 7 discipline-based reference panels answered questions on-line. A multidisciplinary group considered reference panel data and data from a volunteer group of 6th Years, who sat the same test, to determine the passing score for the 5th Years. Results The mean (SD) scores were 63.6 (7.6) and 68.6 (4.8) for the 6th Year (n = 23, alpha = 0.78) and and 5th Year (n = 132, alpha =0.62) groups (p < 0.05), respectively. The passing score was set at 4 SD from the expert mean. Four students failed. Conclusions The SCT may be a useful method to assess clinical reasoning in medical students in multidisciplinary summative assessments. Substantial investment in training of faculty and students and in the development of questions is required. PMID:22571351

  3. Fuzzy and neural control

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1992-01-01

    Fuzzy logic and neural networks provide new methods for designing control systems. Fuzzy logic controllers do not require a complete analytical model of a dynamic system and can provide knowledge-based heuristic controllers for ill-defined and complex systems. Neural networks can be used for learning control. In this chapter, we discuss hybrid methods using fuzzy logic and neural networks which can start with an approximate control knowledge base and refine it through reinforcement learning.

  4. Representations of fuzzy torus

    NASA Astrophysics Data System (ADS)

    Aizawa, N.; Chakrabarti, R.

    2008-08-01

    A classification of Hermitian representations for the recently introduced fuzzy torus algebra is presented. This is carried out by regarding the fuzzy torus algebra as a q-deformation of parafermion. In addition to the known representations, new representations of both finite and infinite dimension are found. Using the infinite dimensional representation, coherent state for the fuzzy torus is constructed. Dirac operator on commutative torus is also discussed.

  5. The Hetu'u Global Network: Using the rare June 5th/6th Transit of Venus to Bring Astronomy to the Remote Easter Island

    NASA Astrophysics Data System (ADS)

    Faherty, Jacqueline; Rodriguez, D.

    2013-01-01

    There are rare times in astronomy when a celestial event, visible in broad daylight, can be used to measure a fundamental parameter and inspire a globe full of school age students. The June 5th/6th transit of Venus was one such event. In celebration, nine astronomy postdocs from the Chilean mainland traveled to Easter Island to lead a series of astronomy outreach activities over three days, culminating in a transit-viewing event. Our team dubbed "Equipo Hetu'u" or "Team Star" in the Rapa Nui (Easter Island native) language spent two days giving astronomy talks and doing hands-on demonstrations at the Museo Antropologico P. Sebastian Englert. In the final day-and-a-half leading up to the transit, we visited the science classes in the majority of the schools on the island, in order to spread the message about the once-in-a-lifetime transit event, highlighting how we planned on using it to measure the distance to the Sun. We estimate over 25% 1500 people) of this remote island participated in one or more of our organized activities. Our experience with this project is an excellent lesson on how to organize, lead, and fully execute a major outreach endeavor that inspires hundreds with minimal resources (save the spectacular event provided by the cosmos).

  6. Some Properties of Fuzzy Soft Proximity Spaces

    PubMed Central

    Demir, İzzettin; Özbakır, Oya Bedre

    2015-01-01

    We study the fuzzy soft proximity spaces in Katsaras's sense. First, we show how a fuzzy soft topology is derived from a fuzzy soft proximity. Also, we define the notion of fuzzy soft δ-neighborhood in the fuzzy soft proximity space which offers an alternative approach to the study of fuzzy soft proximity spaces. Later, we obtain the initial fuzzy soft proximity determined by a family of fuzzy soft proximities. Finally, we investigate relationship between fuzzy soft proximities and proximities. PMID:25793224

  7. Teacher and Parent Views on the Instruction of 5th Grade Students by Branch Teachers in the 4+4+4 Education System

    ERIC Educational Resources Information Center

    Yildizhan, Yusuf Hayri

    2015-01-01

    The objective of this study is to examine the teacher and parent views on the instruction of 5th grade students by branch teachers. This study is designed according to the phenomenology design and uses qualitative data. In order to collect data, open-ended questions were asked to 18 teachers and 16 parents of 5th grade students on the subject, and…

  8. Day to Day

    ERIC Educational Resources Information Center

    Jurecki, Dennis

    2006-01-01

    A clean, healthy and safe school provides students, faculty and staff with an environment conducive to learning and working. However, budget and staff reductions can lead to substandard cleaning practices and unsanitary conditions. Some school facility managers have been making the switch to a day-schedule to reduce security and energy costs, and…

  9. Day to day with COPD

    MedlinePlus

    ... day; Chronic obstructive airways disease - day to day; Chronic obstructive lung disease - day to day; Chronic bronchitis - day to day; ... strategy for the diagnosis, management, and prevention of chronic ... disease. Updated 2015. www.goldcopd.it/materiale/2015/GOLD_ ...

  10. Coordinated signal control for arterial intersections using fuzzy logic

    NASA Astrophysics Data System (ADS)

    Kermanian, Davood; Zare, Assef; Balochian, Saeed

    2013-09-01

    Every day growth of the vehicles has become one of the biggest problems of urbanism especially in major cities. This can waste people's time, increase the fuel consumption, air pollution, and increase the density of cars and vehicles. Fuzzy controllers have been widely used in many consumer products and industrial applications with success over the past two decades. This article proposes a comprehensive model of urban traffic network using state space equations and then using Fuzzy Logic Tool Box and SIMULINK Program MATLAB a fuzzy controller in order to optimize and coordinate signal control at two intersections at an arterial road. The fuzzy controller decides to extend, early cut or terminate a signal phase and phase sequence to ensure smooth flow of traffic with minimal waiting time and length of queue. Results show that the performance of the proposed traffic controller at novel fuzzy model is better that of conventional controllers under normal and abnormal traffic conditions.

  11. Validation of the 5th and 95th Percentile Hybrid III Anthropomorphic Test Device Finite Element Model

    NASA Technical Reports Server (NTRS)

    Lawrence, C.; Somers, J. T.; Baldwin, M. A.; Wells, J. A.; Newby, N.; Currie, N. J.

    2014-01-01

    NASA spacecraft design requirements for occupant protection are a combination of the Brinkley criteria and injury metrics extracted from anthropomorphic test devices (ATD's). For the ATD injury metrics, the requirements specify the use of the 5th percentile female Hybrid III and the 95th percentile male Hybrid III. Furthermore, each of these ATD's is required to be fitted with an articulating pelvis and a straight spine. The articulating pelvis is necessary for the ATD to fit into spacecraft seats, while the straight spine is required as injury metrics for vertical accelerations are better defined for this configuration. The requirements require that physical testing be performed with both ATD's to demonstrate compliance. Before compliance testing can be conducted, extensive modeling and simulation are required to determine appropriate test conditions, simulate conditions not feasible for testing, and assess design features to better ensure compliance testing is successful. While finite element (FE) models are currently available for many of the physical ATD's, currently there are no complete models for either the 5th percentile female or the 95th percentile male Hybrid III with a straight spine and articulating pelvis. The purpose of this work is to assess the accuracy of the existing Livermore Software Technology Corporation's FE models of the 5th and 95th percentile ATD's. To perform this assessment, a series of tests will be performed at Wright Patterson Air Force Research Lab using their horizontal impact accelerator sled test facility. The ATD's will be placed in the Orion seat with a modified-advanced-crew-escape-system (MACES) pressure suit and helmet, and driven with loadings similar to what is expected for the actual Orion vehicle during landing, launch abort, and chute deployment. Test data will be compared to analytical predictions and modelling uncertainty factors will be determined for each injury metric. Additionally, the test data will be used to

  12. Factors affecting the output pulse flatness of the linear transformer driver cavity systems with 5th harmonics

    NASA Astrophysics Data System (ADS)

    Alexeenko, V. M.; Mazarakis, M. G.; Kim, A. A.; Kondratiev, S. S.; Sinebryukhov, V. A.; Volkov, S. N.; Cuneo, M. E.; Kiefer, M. L.; Leckby, J. J.; Oliver, B. V.; Maloney, P. D.

    2016-09-01

    We describe the study we have undertaken to evaluate the effect of component tolerances in obtaining a voltage output flat top for a linear transformer driver (LTD) cavity containing 3rd and 5th harmonic bricks [A. A. Kim et al., in Proc. IEEE Pulsed Power and Plasma Science PPPS2013 (San Francisco, California, USA, 2013), pp. 1354-1356.] and for 30 cavity voltage adder. Our goal was to define the necessary component value precision in order to obtain a voltage output flat top with no more than ±0.5 % amplitude variation.

  13. IBA investigations of loose garnets from Pietroasa, Apahida and Cluj-Someşeni treasures (5th century AD)

    NASA Astrophysics Data System (ADS)

    Bugoi, R.; Oanţă-Marghitu, R.; Calligaro, T.

    2016-03-01

    This paper reports the archaeometric investigations of 418 loose garnets from Pietroasa and Cluj-Someşeni treasures and Apahida II and III princely grave inventories (5th century AD). The chemical composition of the gems was determined by external beam micro-PIXE technique at the AGLAE accelerator of C2RMF, Paris, France. Complementary observations made by Optical Microscopy revealed details on the gemstones cutting and polishing and permitted to identify certain mineral inclusions. The compositional results evidenced several types of garnets from the pyralspite series, suggesting distinct provenances for these Early Medieval gems.

  14. A report on 5th congress of Asia Pacific Pediatric Cardiac Society, New Delhi, India, 6-9 March 2014

    PubMed Central

    Gupta, Saurabh K; Saxena, Anita

    2015-01-01

    The 5th Congress of Asia Pacific Pediatric Cardiac Society was held in New Delhi from 6-9 March 2014. This article describes the journey of preparing and hosting one of the largest international events in the specialty of Pediatric Cardiac Care ever held in India. A total of 938 delegates, including 400 from outside India, participated. The scientific program was inclusive keeping in mind the diverse background of delegates from the member nations. Large numbers of research papers were presented, mostly by fellows in training. PMID:25684899

  15. Estimating outcomes in newborn infants using fuzzy logic

    PubMed Central

    Chaves, Luciano Eustáquio; Nascimento, Luiz Fernando C.

    2014-01-01

    OBJECTIVE: To build a linguistic model using the properties of fuzzy logic to estimate the risk of death of neonates admitted to a Neonatal Intensive Care Unit. METHODS: Computational model using fuzzy logic. The input variables of the model were birth weight, gestational age, 5th-minute Apgar score and inspired fraction of oxygen in newborn infants admitted to a Neonatal Intensive Care Unit of Taubaté, Southeast Brazil. The output variable was the risk of death, estimated as a percentage. Three membership functions related to birth weight, gestational age and 5th-minute Apgar score were built, as well as two functions related to the inspired fraction of oxygen; the risk presented five membership functions. The model was developed using the Mandani inference by means of Matlab(r) software. The model values were compared with those provided by experts and their performance was estimated by ROC curve. RESULTS: 100 newborns were included, and eight of them died. The model estimated an average possibility of death of 49.7±29.3%, and the possibility of hospital discharge was 24±17.5%. These values are different when compared by Student's t-test (p<0.001). The correlation test revealed r=0.80 and the performance of the model was 81.9%. CONCLUSIONS: This predictive, non-invasive and low cost model showed a good accuracy and can be applied in neonatal care, given the easiness of its use. PMID:25119746

  16. It takes a community to define a discipline: the 5th anniversary of Environmental Research Letters It takes a community to define a discipline: the 5th anniversary of Environmental Research Letters

    NASA Astrophysics Data System (ADS)

    Kammen, Dan

    2012-03-01

    commentary environment, a unique service in itself, and also a specific forum for research published in ERL. Individual topics often come up that warrant not only single articles, but collections of assessments, and ERL has published focus issues in key areas of environmental science including: tropical deforestation, wind energy, the Deepwater Horizon oil spill and climate engineering. ERL is currently publishing seven high-quality focus issues in cutting-edge areas such as arctic vegetation dynamics and cryospheric changes. Research letters appearing in ERL have received regular and significant coverage in the wider media, with several major news outlets and agencies choosing to cover ERL research, such as Nature, BBC News, New Scientist, The Guardian, Scientific American, Le Monde and many others. 4.The future community of ERL The process of community support will take many forms at ERL. The journal is growing—we have published the highest number of articles ever in a single volume in 2011 and are looking to continue this growth through into 2012. ERL had an over 50% increase in submissions from 2010 to 2011. One initiative to mark the journal's 5th anniversary was the 'Best articles' collection [1] a nominated compilation of articles showcasing the quality of published work in ERL as well as the subject area breadth. Co-authors of the five winning articles have been awarded free publication in ERL until the end of 2012. We can also see the open access model working, in that our articles are highly downloaded outside of the traditionally strong geographical areas of academia (North America and Western Europe), showing that the journal's readership is geographically diverse with high interest from Asia, South America and Africa. The journal is committed to progress and innovation; coming soon will be a set of new communication tools and online innovations, including: Video abstracts from the start of 2012 (for example, the video commentary published alongside this

  17. PREFACE: 5th International Conference on Materials and Applications for Sensors and Transducers (IC-MAST2015)

    NASA Astrophysics Data System (ADS)

    Hristoforou, E.; Vlachos, D. S.; Giouroudi, I.; Kar-Narayan, S.; Potirakis, S.

    2016-03-01

    The 5th International Conference on Materials and Applications for Sensors and Transducers, Mykonos island, Greece, hosted about 110 oral and poster papers and more than 90 participants. IC-MAS, as an international annual conference which tries to meet the needs for various types of sensors, particularly those which may be manufactured by low cost methods (i.e. hybrid sensors, smart specialization devices, particular applications not necessarily requiring integrated micro-nano technologies), covering all types of materials and physical effects, appears to be a necessity. IC-MAST has been established as a high quality international conference by: I. Gathering together multinational researchers from all over the world, working in different materials for sensors and transducers and technical applications of sensors, but also in some cases in the management of the data coming from sensors and transducers. The careful selection of the conference place (like Aegean Sea, Budapest, Prague, Bilbao, Mykonos etc) allows for enjoying the local hospitality and sightseeing. II. Emphasizing in hybrid sensors and smart specialization devices produced by inexpensive methods, without excluding of course micro-nano technology, from all kinds of solid state, liquid and gaseous materials, as well as in particular transducer applications (design and development, as well as use of sensing data) III. Innovatively implementing the Virtual Paper Concept, allowing for large impact of research works presented in the conference by authors who either have no time or no funding support for visiting a conference; this year more than 12 virtual papers are presented in the 5th IC MAST, following a standardized procedure via the our robust and reliable Conference Site (www.icmast.net!) > IV. Allowing for lengthy technical and managerial discussions in terms of sensor, material and instrumentation development; furthermore, the different research groups gathered together are offered the particular

  18. Fuzzy Risk Analyzer

    1994-03-04

    FRA is a general purpose code for risk analysis using fuzzy, not numeric, attributes. It allows the user to evaluate the risk associated with a composite system on the basis of the risk estimates of the individual components.

  19. Fuzziness in abacus logic

    NASA Astrophysics Data System (ADS)

    Malhas, Othman Qasim

    1993-10-01

    The concept of “abacus logic” has recently been developed by the author (Malhas, n.d.). In this paper the relation of abacus logic to the concept of fuzziness is explored. It is shown that if a certain “regularity” condition is met, concepts from fuzzy set theory arise naturally within abacus logics. In particular it is shown that every abacus logic then has a “pre-Zadeh orthocomplementation”. It is also shown that it is then possible to associate a fuzzy set with every proposition of abacus logic and that the collection of all such sets satisfies natural conditions expected in systems of fuzzy logic. Finally, the relevance to quantum mechanics is discussed.

  20. Primary School 5th and 8th Graders' Understanding and Mental Models about the Shape of the World and Gravity

    ERIC Educational Resources Information Center

    Öztürk, Ayse; Doganay, Ahmet

    2013-01-01

    This study investigated primary school 5th and 8th graders' understanding and mental models related to the shape of the world and gravity, and how these models reflected the fact and what kind of a change there is from 5th to 8th graders. This research is based on a cross-sectional design. The study was conducted in a low socioeconomic level…

  1. Proceedings of the 5th International DAWN Summit 2014: Acting together to make person-centred diabetes care a reality.

    PubMed

    Bootle, Stuart; Skovlund, Soren E

    2015-07-01

    Almost 250 stakeholders from across the world, representing all aspects of diabetes, attended the 5th International DAWN Summit. The summit focussed on the issues raised by the recently published DAWN2 study, placing particular emphasis on promoting the concept of person-centred diabetes care. Discussions between the delegates took place throughout a variety of sessions, with presentations, interactive exchanges and workshops providing a platform for clarification of common global priorities and opportunities for joint action. Following the summit, these ideas were developed further, leading to the creation of a Global Action Framework. The framework aims to support the ongoing local implementation of change in response to the DAWN2 results, while helping enable person-centred diabetes care to become a reality at all levels.

  2. Macracanthorhynchus hirudinaceus Eggs in Canine Coprolite from the Sasanian Era in Iran (4th/5th Century CE)

    PubMed Central

    MOWLAVI, Gholamreza; MAKKI, Mahsasadat; HEIDARI, Zahra; REZAEIAN, Mostafa; MOHEBALI, Mehdi; ARAUJO, Adauto; BOENKE, Nicole; AALI, Abolfazl; STOLLNER, Thomas; MOBEDI, Iraj

    2015-01-01

    Present paper is the second publication introducing the paleoparasitological findings from animal coprolites obtained from archeological site of Chehrabad salt mine in northwestern Iran. The current archeological site is located in northwest of Iran, dated to the Sassanian Era (4th/5th century CE). In the summer 2012 the carnivore coprolite was obtained within the layers in the mine and were thoroughly analyzed for parasites using TSP rehydration technique. Eggs of 0 were successfully retrieved from the examined coprolite and were confidently identified based on reliable references. Identifying of M. hirudinaceus eggs in paleofeces with clear appearance as demonstrated herein, is much due to appropriate preservation condition has been existed in the salt mine .The present finding could be regarded as the oldest acanthocephalan infection in Iran. PMID:26246822

  3. Brief report: data on the Stanford-Binet Intelligence Scales (5th ed.) in children with autism spectrum disorder.

    PubMed

    Coolican, Jamesie; Bryson, Susan E; Zwaigenbaum, Lonnie

    2008-01-01

    The Fifth Edition of the Stanford-Binet Intelligence Scales (SB5; Roid, G. H. (2003). Stanford Binet intelligence scales (5th ed.). Itasca, IL: Riverside Publishing) is relatively new, with minimal published research on general populations and none with special populations. The present study provides information on the cognitive profiles of children with ASD (N=63) and on the whether the abbreviated battery is representative of the full scale. A high percentage of the children had significantly stronger nonverbal (vs. verbal) skills. This pattern was not related to Full Scale IQ, age or diagnostic subgroup. IQs derived from the abbreviated battery accounted for a large proportion of the variance in FSIQ relative to comparable abbreviated batteries. However, caution is warranted when using the abbreviated battery, as it misrepresents actual ability in a small percentage of cases.

  4. Fuzzy forecasting based on fuzzy-trend logical relationship groups.

    PubMed

    Chen, Shyi-Ming; Wang, Nai-Yi

    2010-10-01

    In this paper, we present a new method to predict the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy-trend logical relationship groups (FTLRGs). The proposed method divides fuzzy logical relationships into FTLRGs based on the trend of adjacent fuzzy sets appearing in the antecedents of fuzzy logical relationships. First, we apply an automatic clustering algorithm to cluster the historical data into intervals of different lengths. Then, we define fuzzy sets based on these intervals of different lengths. Then, the historical data are fuzzified into fuzzy sets to derive fuzzy logical relationships. Then, we divide the fuzzy logical relationships into FTLRGs for forecasting the TAIEX. Moreover, we also apply the proposed method to forecast the enrollments and the inventory demand, respectively. The experimental results show that the proposed method gets higher average forecasting accuracy rates than the existing methods.

  5. An approximation of interval type-2 fuzzy controllers using fuzzy ratio switching type-1 fuzzy controllers.

    PubMed

    Tao, C W; Taur, Jinshiuh; Chuang, Chen-Chia; Chang, Chia-Wen; Chang, Yeong-Hwa

    2011-06-01

    In this paper, the interval type-2 fuzzy controllers (FC(IT2)s) are approximated using the fuzzy ratio switching type-1 FCs to avoid the complex type-reduction process required for the interval type-2 FCs. The fuzzy ratio switching type-1 FCs (FC(FRST1)s) are designed to be a fuzzy combination of the possible-leftmost and possible-rightmost type-1 FCs. The fuzzy ratio switching type-1 fuzzy control technique is applied with the sliding control technique to realize the hybrid fuzzy ratio switching type-1 fuzzy sliding controllers (HFSC(FRST1)s) for the double-pendulum-and-cart system. The simulation results and comparisons with other approaches are provided to demonstrate the effectiveness of the proposed HFSC(FRST1)s. PMID:21189244

  6. Towards autonomous fuzzy control

    NASA Technical Reports Server (NTRS)

    Shenoi, Sujeet; Ramer, Arthur

    1993-01-01

    The efficient implementation of on-line adaptation in real time is an important research problem in fuzzy control. The goal is to develop autonomous self-organizing controllers employing system-independent control meta-knowledge which enables them to adjust their control policies depending on the systems they control and the environments in which they operate. An autonomous fuzzy controller would continuously observe system behavior while implementing its control actions and would use the outcomes of these actions to refine its control policy. It could be designed to lie dormant when its control actions give rise to adequate performance characteristics but could rapidly and autonomously initiate real-time adaptation whenever its performance degrades. Such an autonomous fuzzy controller would have immense practical value. It could accommodate individual variations in system characteristics and also compensate for degradations in system characteristics caused by wear and tear. It could also potentially deal with black-box systems and control scenarios. On-going research in autonomous fuzzy control is reported. The ultimate research objective is to develop robust and relatively inexpensive autonomous fuzzy control hardware suitable for use in real time environments.

  7. Distributed fuzzy system modeling

    SciTech Connect

    Pedrycz, W.; Chi Fung Lam, P.; Rocha, A.F.

    1995-05-01

    The paper introduces and studies an idea of distributed modeling treating it as a new paradigm of fuzzy system modeling and analysis. This form of modeling is oriented towards developing individual (local) fuzzy models for specific modeling landmarks (expressed as fuzzy sets) and determining the essential logical relationships between these local models. The models themselves are implemented in the form of logic processors being regarded as specialized fuzzy neural networks. The interaction between the processors is developed either in an inhibitory or excitatory way. In more descriptive way, the distributed model can be sought as a collection of fuzzy finite state machines with their individual local first or higher order memories. It is also clarified how the concept of distributed modeling narrows down a gap between purely numerical (quantitative) models and the qualitative ones originated within the realm of Artificial Intelligence. The overall architecture of distributed modeling is discussed along with the detailed learning schemes. The results of extensive simulation experiments are provided as well. 17 refs.

  8. A neural fuzzy controller learning by fuzzy error propagation

    NASA Technical Reports Server (NTRS)

    Nauck, Detlef; Kruse, Rudolf

    1992-01-01

    In this paper, we describe a procedure to integrate techniques for the adaptation of membership functions in a linguistic variable based fuzzy control environment by using neural network learning principles. This is an extension to our work. We solve this problem by defining a fuzzy error that is propagated back through the architecture of our fuzzy controller. According to this fuzzy error and the strength of its antecedent each fuzzy rule determines its amount of error. Depending on the current state of the controlled system and the control action derived from the conclusion, each rule tunes the membership functions of its antecedent and its conclusion. By this we get an unsupervised learning technique that enables a fuzzy controller to adapt to a control task by knowing just about the global state and the fuzzy error.

  9. [Progress and prospects on evaluation of ecological restoration: a review of the 5th World Conference on Ecological Restoration].

    PubMed

    Ding, Jing-Yi; Zhao, Wen-Wu

    2014-09-01

    The 5th World Conference on Ecological Restoration was held in Madison, Wisconsin, USA on October 6-11, 2013. About 1200 delegates from more than 50 countries attended the conference, and discussed the latest developments in different thematic areas of ecological restoration. Discussions on evaluation of ecological restoration were mainly from three aspects: The construction for evaluation indicator system of ecological restoration; the evaluation methods of ecological restoration; monitoring and dynamic evaluation of ecological restoration. The meeting stressed the importance of evaluation in the process of ecological restoration and concerned the challenges in evaluation of ecological restoration. The conference had the following enlightenments for China' s research on evaluation of ecological restoration: 1) Strengthening the construction of comprehensive evaluation indicators system and focusing on the multi-participation in the evaluation process. 2) Paying more attentions on scale effect and scale transformation in the evaluation process of ecological restoration. 3) Expanding the application of 3S technology in assessing the success of ecological restoration and promoting the dynamic monitoring of ecological restoration. 4) Carrying out international exchanges and cooperation actively, and promoting China's international influence in ecological restoration research.

  10. Generating and weighing evidence in drug development and regulatory decision making: 5th US FDA-DIA workshop on pharmacogenomics.

    PubMed

    Shaw, Peter M; Zineh, Issam

    2010-12-01

    The 5th US FDA-Drug Industry Association (DIA) workshop in a series on pharmacogenomics entitled: 'Generating and Weighing Evidence in Drug Development and Regulatory Decision Making', contained four major topics (tracks): 'Learning from Labels and Label Changes: How to Build Pharmacogenomics into Drug Development Programs'; 'Enabling Pharmacogenomic Clinical Trials Through Sampling'; 'Designing Pharmacogenomics Studies to be Fit for Purpose'; and 'Co-Development of Drugs and Diagnostics'. The meeting was attended by approximately 200 professionals, primarily involved in drug development and healthcare delivery. Several critical elements drove the success of the meeting: it was recognized that the enriched conversation at this workshop between regulators and drug developers was driven with less inhibition than before and with a greater scientific focus on the issues. Multiple examples in the field and broader collective experience helped more in-depth thinking of the pros and cons of implementing pharmacogenetic/genetic approaches during drug development, in the current environment. It was also noted that this field is still developing and nascent as illustrated by the paucity of actual diagnostic-drug co-development examples. Furthermore, the complexities of conducting pharmacogenetic research in global drug-development programs was acknowledged as was the need for rigorous research designs and methodologies despite these challenges. PMID:21142905

  11. Communicating Science to Impact Learning? A Phenomenological Inquiry into 4th and 5th Graders' Perceptions of Science Information Sources

    NASA Astrophysics Data System (ADS)

    Gelmez Burakgazi, Sevinc; Yildirim, Ali; Weeth Feinstein, Noah

    2016-04-01

    Rooted in science education and science communication studies, this study examines 4th and 5th grade students' perceptions of science information sources (SIS) and their use in communicating science to students. It combines situated learning theory with uses and gratifications theory in a qualitative phenomenological analysis. Data were gathered through classroom observations and interviews in four Turkish elementary schools. Focus group interviews with 47 students and individual interviews with 17 teachers and 10 parents were conducted. Participants identified a wide range of SIS, including TV, magazines, newspapers, internet, peers, teachers, families, science centers/museums, science exhibitions, textbooks, science books, and science camps. Students reported using various SIS in school-based and non-school contexts to satisfy their cognitive, affective, personal, and social integrative needs. SIS were used for science courses, homework/project assignments, examination/test preparations, and individual science-related research. Students assessed SIS in terms of the perceived accessibility of the sources, the quality of the content, and the content presentation. In particular, some sources such as teachers, families, TV, science magazines, textbooks, and science centers/museums ("directive sources") predictably led students to other sources such as teachers, families, internet, and science books ("directed sources"). A small number of sources crossed context boundaries, being useful in both school and out. Results shed light on the connection between science education and science communication in terms of promoting science learning.

  12. Fast Food Consumption and Food Prices: Evidence from Panel Data on 5th and 8th Grade Children

    PubMed Central

    Khan, Tamkeen; Powell, Lisa M.; Wada, Roy

    2012-01-01

    Fast food consumption is a dietary factor associated with higher prevalence of childhood obesity in the United States. The association between food prices and consumption of fast food among 5th and 8th graders was examined using individual-level random effects models utilizing consumption data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (ECLS-K), price data from American Chamber of Commerce Researchers Association (ACCRA), and contextual outlet density data from Dun and Bradstreet (D&B). The results found that contextual factors including the price of fast food, median household income, and fast food restaurant outlet densities were significantly associated with fast food consumption patterns among this age group. Overall, a 10% increase in the price of fast food was associated with 5.7% lower frequency of weekly fast food consumption. These results suggest that public health policy pricing instruments such as taxes may be effective in reducing consumption of energy-dense foods and possibly reducing the prevalence of overweight and obesity among US children and young adolescents. PMID:22292115

  13. Final Report for DOE Support of 5th the International Workshop on Oxide Surfaces (IWOX-V)

    SciTech Connect

    Charles T. Campbell

    2007-02-02

    The 5th International Workshop on Oxide Surfaces (IWOX-V) was held at Granlibakken Conference center in Lake Tahoe, CA, January 7-12. The total attendance was ~90. The breakdown of attendees by country is as follows: USA 41 Germany 18 Japan 7 UK 5 Italy 5 France 4 Austria 3 Denmark 3 Cech. Repub. 1 Ireland 1 New Zealand 1 India 1 The technical program included oral sessions on the electronic and magnetic properties of oxide surfaces, surface and interface structure, advances in theory, surface defects, thin film oxides on metals and on oxides, thin film metals on oxides, surface photochemistry, surface reactivity, and interactions with water. Two evening poster sessions had similar themes. As in previous years, the program stimulated significant interest and discussion among the attendees. The local expenses (food and lodging, $918 per person) for eight foreign invited speakers were covered by BES funds. In addition, partial reimbursement for travel ($328 per person) was supported by BES funds for two more foreign invited speakers.

  14. Fast food consumption and food prices: evidence from panel data on 5th and 8th grade children.

    PubMed

    Khan, Tamkeen; Powell, Lisa M; Wada, Roy

    2012-01-01

    Fast food consumption is a dietary factor associated with higher prevalence of childhood obesity in the United States. The association between food prices and consumption of fast food among 5th and 8th graders was examined using individual-level random effects models utilizing consumption data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (ECLS-K), price data from American Chamber of Commerce Researchers Association (ACCRA), and contextual outlet density data from Dun and Bradstreet (D&B). The results found that contextual factors including the price of fast food, median household income, and fast food restaurant outlet densities were significantly associated with fast food consumption patterns among this age group. Overall, a 10% increase in the price of fast food was associated with 5.7% lower frequency of weekly fast food consumption. These results suggest that public health policy pricing instruments such as taxes may be effective in reducing consumption of energy-dense foods and possibly reducing the prevalence of overweight and obesity among US children and young adolescents. PMID:22292115

  15. Attitudes towards General Practice: a comparative cross-sectional survey of 1st and 5th year medical students

    PubMed Central

    Kruschinski, Carsten; Wiese, Birgitt; Hummers-Pradier, Eva

    2012-01-01

    Objective: Positive attitudes towards General Practice can be understood as a prerequisite for becoming a General Practitioner (GP) and for collaboration with GPs later on. This study aimed to assess attitudes of medical students at the beginning and the end of medical school. Methods: A total of 160 1st year students at Hannover Medical School were surveyed. Their attitudes were compared to those of 287 5th year students. Descriptive, bi- and multivariate analyses were performed to investigate influences of year of study and gender. Results: Year of study and gender both were associated with the attitudes towards General Practice. The interest in General Practice and patient-orientation (communication, care of older patients with chronic diseases) was higher in 1st year students compared to more advanced students. Female students valued such requirements more than male students, the differences in attitudes between the years of study being more pronounced in male students. Conclusion: Despite some limitations caused by the cross-sectional design, the attitudes towards General Practice competencies changed to their disadvantage during medical school. This suggests a formative influence of the strategies used in medical education. Educational strategies, however, could be used to bring about a change of attitudes in the other direction. PMID:23255966

  16. Generating and weighing evidence in drug development and regulatory decision making: 5th US FDA-DIA workshop on pharmacogenomics.

    PubMed

    Shaw, Peter M; Zineh, Issam

    2010-12-01

    The 5th US FDA-Drug Industry Association (DIA) workshop in a series on pharmacogenomics entitled: 'Generating and Weighing Evidence in Drug Development and Regulatory Decision Making', contained four major topics (tracks): 'Learning from Labels and Label Changes: How to Build Pharmacogenomics into Drug Development Programs'; 'Enabling Pharmacogenomic Clinical Trials Through Sampling'; 'Designing Pharmacogenomics Studies to be Fit for Purpose'; and 'Co-Development of Drugs and Diagnostics'. The meeting was attended by approximately 200 professionals, primarily involved in drug development and healthcare delivery. Several critical elements drove the success of the meeting: it was recognized that the enriched conversation at this workshop between regulators and drug developers was driven with less inhibition than before and with a greater scientific focus on the issues. Multiple examples in the field and broader collective experience helped more in-depth thinking of the pros and cons of implementing pharmacogenetic/genetic approaches during drug development, in the current environment. It was also noted that this field is still developing and nascent as illustrated by the paucity of actual diagnostic-drug co-development examples. Furthermore, the complexities of conducting pharmacogenetic research in global drug-development programs was acknowledged as was the need for rigorous research designs and methodologies despite these challenges.

  17. Fuzzy object modeling

    NASA Astrophysics Data System (ADS)

    Udupa, Jayaram K.; Odhner, Dewey; Falcao, Alexandre X.; Ciesielski, Krzysztof C.; Miranda, Paulo A. V.; Vaideeswaran, Pavithra; Mishra, Shipra; Grevera, George J.; Saboury, Babak; Torigian, Drew A.

    2011-03-01

    To make Quantitative Radiology (QR) a reality in routine clinical practice, computerized automatic anatomy recognition (AAR) becomes essential. As part of this larger goal, we present in this paper a novel fuzzy strategy for building bodywide group-wise anatomic models. They have the potential to handle uncertainties and variability in anatomy naturally and to be integrated with the fuzzy connectedness framework for image segmentation. Our approach is to build a family of models, called the Virtual Quantitative Human, representing normal adult subjects at a chosen resolution of the population variables (gender, age). Models are represented hierarchically, the descendents representing organs contained in parent organs. Based on an index of fuzziness of the models, 32 thorax data sets, and 10 organs defined in them, we found that the hierarchical approach to modeling can effectively handle the non-linear relationships in position, scale, and orientation that exist among organs in different patients.

  18. Reconfigurable fuzzy cell

    NASA Technical Reports Server (NTRS)

    Salazar, George A. (Inventor)

    1993-01-01

    This invention relates to a reconfigurable fuzzy cell comprising a digital control programmable gain operation amplifier, an analog-to-digital converter, an electrically erasable PROM, and 8-bit counter and comparator, and supporting logic configured to achieve in real-time fuzzy systems high throughput, grade-of-membership or membership-value conversion of multi-input sensor data. The invention provides a flexible multiplexing-capable configuration, implemented entirely in hardware, for effectuating S-, Z-, and PI-membership functions or combinations thereof, based upon fuzzy logic level-set theory. A membership value table storing 'knowledge data' for each of S-, Z-, and PI-functions is contained within a nonvolatile memory for storing bits of membership and parametric information in a plurality of address spaces. Based upon parametric and control signals, analog sensor data is digitized and converted into grade-of-membership data. In situ learn and recognition modes of operation are also provided.

  19. Assessment of Flood Vulnerability to Climate Change Using Fuzzy Operators in Seoul

    NASA Astrophysics Data System (ADS)

    Lee, M. J.

    2014-12-01

    The goal of this study is to apply the IPCC(Intergovernmental Panel on Climate Change) concept of vulnerability to climate change and verify the use of a combination of vulnerability index and fuzzy operators to flood vulnerability analysis and mapping in Seoul using GIS. In order to achieve this goal, this study identified indicators influencing floods based on literature review. We include indicators of exposure to climate(daily max rainfall, days of 80㎜ over), sensitivity(slope, geological, average DEM, Impermeability layer, topography and drainage), and adaptive capacity(retarding basin and green-infra). Also, this research used fuzzy operator model for aggregating indicators, and utilized frequency ratio to decide fuzzy membership values. Results show that number of days of precipitation above 80㎜, the distance from river and impervious surface have comparatively strong influence on flood damage. Furthermore, when precipitation is over 269㎜, areas with scare flood mitigation capacities, industrial land use, elevation of 16˜20m, within 50m distance from rivers are quite vulnerable to floods. Yeongdeungpo-gu, Yongsan-gu, Mapo-gu include comparatively large vulnerable areas. The relative weight of each factor was then converted into a fuzzy membership value and integrated as a flood vulnerability index using fuzzy operators (fuzzy AND, fuzzy OR, fuzzy algebraic sum, and fuzzy algebraic product). Comparing the results of the highest for the fuzzy AND operator, fuzzy gamma operator (γ = 0.2) is higher with improved computational. This study improved previous flood vulnerability assessment methodology by adopting fuzzy operator model. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing flood mitigation policies. Acknowledgements: The authors appreciate the support that this study has received from "Development of Time Series Disaster Mapping Technologies through Natural Disaster Factor Spatial

  20. Fuzzy logic for fault diagnosis

    NASA Astrophysics Data System (ADS)

    Comly, James B.; Bonissone, Piero P.; Dausch, Mark E.

    1991-02-01

    Advanced real-time digital controls for complex plants or processes will use a model (an " Observer" ) which predicts the values for sensor readings expected from the actual plant these vote as alternate " sensors" if the real ones fail. We are exploring further use of the Observer for real-time embedded diagnostics based on high speed fuzzy logic chips just becoming available. We have established a Fuzzy Inferencing Test Bed for fuzzy logic applications. It uses a set of development tools which allow applications to be built and tested against simulated systems and then ported directly to a high speed fuzzy logic chip. With the Fuzzy Inferencing Test we investigate very high speed fuzzy logic to: isolate faults using static information and early fault information that evolves rapidly in time validate and smooth readings from redundant sensors and smoothly select alternate control modes in intelligent controllers. This paper reports our experience with fuzzy logic in these kinds of applications.

  1. Implementing SPRINTT [Student Polar Research with IPY National(and International)Teacher Training] in 5th Grade Science

    NASA Astrophysics Data System (ADS)

    Glass, D. S.

    2009-12-01

    I implemented the new NSF-funded SPRINTT (Student Polar Research with IPY National (and International) Teacher Training) curriculum with a 5th grade science class. SPRINTT, developed at U.S. Satellite Laboratory, Inc., is a 5-8 week science program teaching 5th through 10th graders to investigate climate change using polar data. The program includes perspectives of both Western scientists and the indigenous Northern population. The course contains three phases: Phase 1 includes content, data interpretation, and hands-on experiments to study Frozen Water, Frozen Land, and Food; Phase 2 (optional) includes further content on specific polar topics; and Phase 3 is a scaffolded research investigation. Before the course, teachers were trained via live webinars. This curriculum capitalizes on children’s innate fascination with our planet’s final frontier and combines it with the politically and scientifically relevant topic of climate change. In 2009, I used SPRINTT with 23 heterogeneous fifth grade students at National Presbyterian School in Washington DC for an environmental science unit. Overall, it was a success. The students met most of the learning objectives and showed enthusiasm for the material. I share my experiences to help other educators and curriculum developers. The Phase 1 course includes earth science (glaciers, sea ice, weather and climate, greenhouse gases, seasons, and human impacts on environments), life science (needs of living things, food and energy transfer, adaptations, and ecosystems and biomes) and physical science (phases of matter). Tailoring the program, I focused on Phase 1, the most accessible material and content, while deemphasizing the more cumbersome Phase 3 online research project. Pre-assessments documented the students’ misconceptions and informed instruction. The investigations were appropriately educational and interesting. For example, students enjoyed looking at environmental factors and their impact on the people in the

  2. Breastfeeding, introduction of other foods and effects on health: a systematic literature review for the 5th Nordic Nutrition Recommendations

    PubMed Central

    Hörnell, Agneta; Lagström, Hanna; Lande, Britt; Thorsdottir, Inga

    2013-01-01

    The present systematic literature review is part of the 5th revision of the Nordic Nutrition Recommendations. The overall aim was to review recent scientific data valid in a Nordic setting on the short- and long-term health effects of breastfeeding (duration of both any and exclusive breastfeeding) and introduction of foods other than breast milk. The initial literature search resulted in 2,011 abstracts; 416 identified as potentially relevant. Full paper review resulted in 60 quality assessed papers (6A, 48B, and 6C). A complementary search found some additional papers. The grade of evidence was classified as convincing, probable, limited-suggestive, and limited-no conclusion. The evidence was convincing of a protective dose/duration effect of breastfeeding against overweight and obesity in childhood and adolescence, overall infections, acute otitis media, and gastrointestinal and respiratory tract infections. The evidence was probable that exclusive breastfeeding for longer than 4 months is associated with slower weight gain during the second half of the first year which could be part of the reason behind the reduced risk of later overweight or obesity. There was also probable evidence that breastfeeding is a protective factor against inflammatory bowel disease, celiac disease, and diabetes (type 1 and 2), provides beneficial effects on IQ and developmental scores of children as well as a small reductive effect on blood pressure and blood cholesterol levels in adulthood. Other associations explored were limited-suggestive or inconclusive. In conclusion, convincing and probable evidence was found for benefits of breastfeeding on several outcomes. The recommendation in NNR2004 about exclusive breastfeeding for 6 months and continued partial breastfeeding thereafter can stand unchanged. The relatively low proportion of infants in the Nordic countries following this recommendation indicates that strategies that protect, support and promote breastfeeding should be

  3. Validating the proposed diagnostic and statistical manual of mental disorders, 5th edition, severity indicator for personality disorder.

    PubMed

    Morey, Leslie C; Bender, Donna S; Skodol, Andrew E

    2013-09-01

    The authors sought to determine whether a 5-point global rating of personality dysfunction on the Level of Personality Functioning Scale proposed as a severity index for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), would be related to DSM-IV personality disorder diagnosis as well as to other key clinical judgments. Data were collected from a national sample of 337 mental health clinicians who provided complete diagnostic information relevant to DSM-IV and proposed DSM-5 personality disorder diagnoses, as well as demographic information and other clinical judgments, on one of their patients. Of the 337 patients described, 248 met criteria for 1 of the 10 specific DSM-IV personality disorders. A "moderate" or greater rating of impairment in personality functioning on the Level Scale demonstrated 84.6% sensitivity and 72.7% specificity for identifying patients meeting criteria for a specific DSM-IV personality disorder. The Level of Personality Functioning Scale had significant and substantial validity correlations with other measures of personality pathology and with clinical judgments regarding functioning, risk, prognosis, and optimal treatment intensity. Furthermore, the single-item Level of Personality Functioning rating was viewed as being as clinically useful as the 10 DSM-IV categories for treatment planning and patient description and was a better predictor of clinician ratings of broad psychosocial functioning than were the 10 DSM-IV categories combined. These results confirm hypotheses that the single-item Level of Personality Functioning Scale rating provides an indication of severity of personality pathology that predicts both assignment of personality disorder diagnosis and clinician appraisals of functioning, risk, prognosis, and needed treatment intensity.

  4. Intraocular tissue ablation using an optical fibre to deliver the 5th harmonic of a Nd:YAG

    NASA Astrophysics Data System (ADS)

    Miller, Joseph; Yu, Xiaobo; Yu, Paula K.; Cringle, Stephen J.; Yu, Dao-Yi

    2009-02-01

    We report the evaluation of a system which delivers the 5th harmonic of an Nd:YAG (213nm) via optical fibre to ocular tissue sites. The 213nm beam is concentrated, using a hollow glass taper, prior to launch into 200 μm or 600 μm core diameter silica/silica optical fibre. The fibre tip was tapered to enhance the fluence delivered. An operating window of fluence values that could be delivered via 330 - 1100mm lengths of optical fibre was determined. The lower value of 0.2J/cm2 determined by the ablation threshold of the tissue and the upper value of 1.3J/cm2 by the launch, transmission and tip characteristics of the optical fibre. The fluence output decreased as a function of both transmitted pulse energy and number of pulses transmitted. Fresh retinal tissue was cleanly ablated with minimal damage to the surrounding tissue. Lesions were generated using 1, 3 and 10 pulses with fluences from 0.2 to 1.0J/cm2. The lesion depth demonstrated clear dose dependence. Lesions generated in ex vivo preparations of human trabecular meshwork in a fluid environment also demonstrated dose dependence, 50 pulses being sufficient to create a hole within the trabecular meshwork extending to Schlemm's canal. The dose dependence of the ablation depth combined with the ability of this technique to create a conduit through to Schlemm's canal demonstrates the potential of this technique for ophthalmological applications requiring precise and controlled intraocular tissue removal and has potential applications in the treatment and management of glaucoma.

  5. Fast Fuzzy Arithmetic Operations

    NASA Technical Reports Server (NTRS)

    Hampton, Michael; Kosheleva, Olga

    1997-01-01

    In engineering applications of fuzzy logic, the main goal is not to simulate the way the experts really think, but to come up with a good engineering solution that would (ideally) be better than the expert's control, In such applications, it makes perfect sense to restrict ourselves to simplified approximate expressions for membership functions. If we need to perform arithmetic operations with the resulting fuzzy numbers, then we can use simple and fast algorithms that are known for operations with simple membership functions. In other applications, especially the ones that are related to humanities, simulating experts is one of the main goals. In such applications, we must use membership functions that capture every nuance of the expert's opinion; these functions are therefore complicated, and fuzzy arithmetic operations with the corresponding fuzzy numbers become a computational problem. In this paper, we design a new algorithm for performing such operations. This algorithm is applicable in the case when negative logarithms - log(u(x)) of membership functions u(x) are convex, and reduces computation time from O(n(exp 2))to O(n log(n)) (where n is the number of points x at which we know the membership functions u(x)).

  6. Fuzzy logic in control systems: Fuzzy logic controller. I, II

    NASA Technical Reports Server (NTRS)

    Lee, Chuen Chien

    1990-01-01

    Recent advances in the theory and applications of fuzzy-logic controllers (FLCs) are examined in an analytical review. The fundamental principles of fuzzy sets and fuzzy logic are recalled; the basic FLC components (fuzzification and defuzzification interfaces, knowledge base, and decision-making logic) are described; and the advantages of FLCs for incorporating expert knowledge into a control system are indicated. Particular attention is given to fuzzy implication functions, the interpretation of sentence connectives (and, also), compositional operators, and inference mechanisms. Applications discussed include the FLC-guided automobile developed by Sugeno and Nishida (1985), FLC hardware systems, FLCs for subway trains and ship-loading cranes, fuzzy-logic chips, and fuzzy computers.

  7. EDITORIAL: PLASMA 2006: The 5th International Conference on the Intrinsic Josephson Effect and Plasma Oscillations in High-TC Superconductors

    NASA Astrophysics Data System (ADS)

    Warburton, Paul; Yurgens, August

    2007-02-01

    The 5th International Conference on the Intrinsic Josephson Effect and Plasma Oscillations in High-TC Superconductors (known as `PLASMA' for short) took place in London from July 17th to 19th 2006. The meeting was organised jointly by the Superconductivity Group of the Institute of Physics and the European Science Foundation network `Arrays of Quantum Dots and Josephson Junctions' (AQDJJ). It was sponsored by the UK Engineering and Physical Sciences Research Council, AQDJJ, the Japan Society for the Promotion of Physics and the National Institute of Materials Science (NIMS). The meeting was chaired by Paul Warburton of University College London who wishes to put on record his thanks to the conference sponsors for their generosity, without which the conference could not have taken place. Since the previous PLASMA conference in Tsukuba in 2004 the most significant advance in intrinsic Josephson junction (IJJ) research has arguably been the observation of macroscopic quantum tunnelling in IJJs. At the time of the conference this had been observed by both the RIEC/NIMS/AIST collaboration in Japan and by Paul M\\"uller's group in Erlangen. We therefore felt that the conference presented an ideal and timely opportunity for the IJJ community to learn from the more established community of researchers on macroscopic quantum phenomena in low-TC superconductors---and indeed vice versa. As a result a number of leading researchers from the field of low-TC Josephson qubit devices gave several illuminating presentations. Other sessions included those on Josephson vortex dynamics in layered systems and terahertz oscillations in IJJs, in addition to a lively poster session on the first evening. The conference was rounded off by an excellent summary of the highlights of the meeting given by Professor Hu-Jong Lee. The conference organisers would like to thank all those who made the meeting possible and contributed to its smooth running. In addition to the international organising

  8. Interval-valued fuzzy hypergraph and fuzzy partition.

    PubMed

    Chen, S M

    1997-01-01

    This paper extends the work of H. Lee-Kwang and L.M. Lee (1995) to present the concept of the interval-valued fuzzy hypergraph. In the interval-valued fuzzy hypergraph, the concepts of the dual interval-valued fuzzy hypergraph, the crisp-valued alpha-cut hypergraph, and the interval-valued [alpha(1),alpha(2 )]-cut at beta level hypergraph are developed, where alphain [0, 1], 0fuzzy partition of a system. PMID:18255914

  9. Engaging Minds. Proceedings of the National Academy for Integration of Research, Teaching and Learning Annual Conference (5th, Galway, Ireland, June 9-10, 2011)

    ERIC Educational Resources Information Center

    National Academy for Integration of Research, Teaching and Learning (NJ1), 2011

    2011-01-01

    This publication contains the papers presented at the 5th Annual Conference of National Academy for Integration of Research, Teaching and Learning (NAIRTL) and the 9th Galway Symposium. Presenters from across Ireland and overseas share their perspectives. The theme of engagement touches on the very heart of what a "higher" education should be…

  10. The Social Interactions of Students with Disabilities in a 5th Grade Level Inclusive Classroom and the Effect on Academic Achievement

    ERIC Educational Resources Information Center

    Marshall-Reed, Estella

    2010-01-01

    This dissertation is a qualitative, ethnographic case study of 3 students with disabilities. The purpose of this research study was to observe and collect descriptive accounts of the social interactions that exist between the cultures in a 5th grade level inclusive classroom, such as the interactions between the special education students, general…

  11. Evaluation of the Effects of Argumentation Based Science Teaching on 5th Grade Students' Conceptual Understanding of the Subjects Related to "Matter and Change"

    ERIC Educational Resources Information Center

    Çinar, Derya; Bayraktar, Sule

    2014-01-01

    The aim of this study is to evaluate the effects of Argumentation Based Science Teaching on 5th grade students' conceptual understanding of the subjects related to "Matter and Change". This research is a qualitative research and its design is a multiple (compare) case study. In this study, semi-structured interviews related to the…

  12. Evaluation of the Effects of Argumentation Based Science Teaching on 5th Grade Students' Conceptual Understanding of the Subjects Related to "Matter and Change"

    ERIC Educational Resources Information Center

    Çinar, Derya; Bayraktar, Sule

    2014-01-01

    The aim of this study is to evaluate the effects of Argumentation Based Science Teaching on 5th grade students' conceptual understanding of the subjects related to "Matter and Change". This research is a qualitative research and its design is a multiple (compare) case study. In this study, semi-structured interviews related to the…

  13. EUNIS '99: Information Technology Shaping European Universities. Proceedings of the International European University Information Systems (5th, Espoo, Finland, June 7-9, 1999).

    ERIC Educational Resources Information Center

    1999

    This document presents the proceedings from the 5th International European University Information Systems (EUNIS) Conference on Information Technology that took place in Helsinki, Finland on June 7-9, 1999. Topics of the conference proceedings were divided into five tracks (A through E): Use of Information Technology in Learning and Teaching;…

  14. International Roundtable on The Lifelong Learning and New Technologies Gap: Reaching the Disadvantaged (5th, Philadelphia, Pennsylvania, December 8-10, 1999). Preliminary Report.

    ERIC Educational Resources Information Center

    National Center on Adult Literacy, Philadelphia, PA.

    Three elements defined the focus of the 5th Roundtable: lifelong learning, the new technologies gap, and reaching the disadvantaged. Participants referred frequently to the digital divide, a term that captures differential access to and use of information and communication technology (ICT). The questions that guided discussion related to ICT and…

  15. U.S. Dietary and Physical Activity Guideline Knowledge and Corresponding Behaviors among 4th and 5th Grade Students: A Multi-Site Pilot Study

    ERIC Educational Resources Information Center

    Bea, Jennifer W.; Martinez, Stephanie; Armstrong-Florian, Traci; Farrell, Vanessa; Martinez, Cathy; Whitmer, Evelyn; Hartz, Vern; Blake, Samuel; Nicolini, Ariana; Misner, Scottie

    2014-01-01

    Knowledge of U.S. dietary and physical activity recommendations and corresponding behaviors were surveyed among 4th and 5th graders in five Arizona counties to determine the need for related education in SNAP-Ed eligible schools. A <70% target response rate was the criterion. Participants correctly identified recommendations for: fruit, 20%;…

  16. Immediate and Short-Term Effects of the 5th Grade Version of the "keepin' it REAL" Substance Use Prevention Intervention

    ERIC Educational Resources Information Center

    Hecht, Michael L.; Elek, Elvira; Wagstaff, David A.; Kam, Jennifer A.; Marsiglia, Flavio; Dustman, Patricia; Reeves, Leslie; Harthun, Mary

    2009-01-01

    This study assessed the immediate and short-term outcomes of adapting a culturally-grounded middle school program, "keepin' it REAL", for elementary school students. After curriculum adaptation, 10 schools were randomly assigned to the intervention in 5th grade with follow-up boosters in 6th grade; 13 schools were randomly assigned to the control…

  17. An Analysis of the Learning Activities Covered in the 5th Grade Science Textbooks Based on 2005 and 2013 Turkish Science Curricula

    ERIC Educational Resources Information Center

    Aydogdu, Cemil; Idin, Sahin

    2015-01-01

    The aim of this study is to analyze the learning activities covered in 5th grade elementary science textbooks which depend on 2005 and 2013 elementary science curricula. Two elementary science textbooks [which] depend on 2005 science curriculum and two elementary science textbooks [which] depend on 2013 science curriculum were researched. The…

  18. An Analysis of the Learning Activities Covered in the 5th Grade Science Textbooks Based on 2005 and 2013 Turkish Science Curricula

    ERIC Educational Resources Information Center

    Aydogdu, Cemil; Idin, Sahin

    2015-01-01

    The aim of this study is to analyze the learning activities covered in 5th grade elementary science textbooks which depend on 2005 and 2013 elementary science curricula. Two elementary science textbooks depends on 2005 science curriculum and two elementary science textbooks depend on 2013 science curriculum were researched. The study is a…

  19. Determination of Motivation of 5th Grade Students Living in Rural and Urban Environments towards Science Learning and Their Attitudes towards Science-Technology Course

    ERIC Educational Resources Information Center

    Kenar, Ismail; Köse, Mücahit; Demir, Halil Ibrahim

    2016-01-01

    In this research, determination of motivation of 5th grade students living in rural and urban environments towards science learning and their attitudes towards science-technology course is aimed. This research is conducted based on descriptive survey model. Samples are selected through teleological model in accordance with the aim of this…

  20. Final technical report: Partial support for US participants in the 5th International Marine Biotechnology Conference, Townsville, Australia, Sept 29 - Oct 5, 2000

    SciTech Connect

    Zohar, Yonathan; Hill, R.; Robb, F.

    2001-04-09

    Funding was provided for US participants in the 5th International Marine Biotechnology Conference held in Townsville, Australia from September 29 to October 5, 2000. DOE funds were used for travel awards for six US participants in this conference. DOE funds were successfully used to advance participation of US scientists in the important emerging field of marine biotechnology.

  1. Measures of self-efficacy and norms for low-fat milk consumption are reliable and related to beverage consumption among 5th graders at school lunch

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The objective was to determine the reliability and validity of scales measuring low-fat milk consumption self-efficacy and norms during school lunch among a cohort of 5th graders. Two hundred seventy-five students completed lunch food records and a psychosocial questionnaire measuring self-efficacy ...

  2. Comparison of the Leiter International Performance Scale-Revised and the Stanford-Binet Intelligence Scales, 5th Edition, in Children with Autism Spectrum Disorders

    ERIC Educational Resources Information Center

    Grondhuis, Sabrina Nicole; Mulick, James A.

    2013-01-01

    A review of hospital records was conducted for children evaluated for autism spectrum disorders who completed both the Leiter International Performance Scale-Revised (Leiter-R) and Stanford-Binet Intelligence Scales, 5th Edition (SB5). Participants were between 3 and 12 years of age. Diagnoses were autistic disorder (n = 26, 55%) and pervasive…

  3. Indian Health Career Handbook and Report on Ned Hatathli Seminar for Southern Arizona Indian Students (5th, Tucson, Arizona, February 6-7, 1975).

    ERIC Educational Resources Information Center

    Taylor, Arnold, Ed.; And Others

    Utilizing comments from teachers, professionals, college and high school students, this report is derived from the 5th Ned Hatathli Seminar, sponsored by the Navajo Health Authority, and presents factual information relative to American Indian participation in Indian Health careers. The following major speeches are presented: (1) "The Practice of…

  4. Fuzzy logic particle tracking velocimetry

    NASA Technical Reports Server (NTRS)

    Wernet, Mark P.

    1993-01-01

    Fuzzy logic has proven to be a simple and robust method for process control. Instead of requiring a complex model of the system, a user defined rule base is used to control the process. In this paper the principles of fuzzy logic control are applied to Particle Tracking Velocimetry (PTV). Two frames of digitally recorded, single exposure particle imagery are used as input. The fuzzy processor uses the local particle displacement information to determine the correct particle tracks. Fuzzy PTV is an improvement over traditional PTV techniques which typically require a sequence (greater than 2) of image frames for accurately tracking particles. The fuzzy processor executes in software on a PC without the use of specialized array or fuzzy logic processors. A pair of sample input images with roughly 300 particle images each, results in more than 200 velocity vectors in under 8 seconds of processing time.

  5. Integration of physical activity and technology motion devices within a combined 5th and 6th grade science curriculum

    NASA Astrophysics Data System (ADS)

    Finn, Kevin Eugene

    Background: National recommendations to increase school-based physical activity and promote academic success advise incorporating movement into traditional classroom lessons. Classroom-based physical activities have favorable associations with indicators of cognitive functioning, academic behaviors, and academic achievement. Purpose: This study analyzed the Active Science framework, which incorporated school-based physical activity within interactive science classroom lessons. Specifically, the study measured the effects of the Active Science framework on student physical activity levels in the classroom, student learning of science inquiry skills and content knowledge, and student perceptions of physical activity and science. A secondary purpose was to evaluate the teachers' perceptions on the implementation of the framework. Subjects: Participants were 37 Hispanic girls (age=11.1 +/-0.8 yr) in mixed 5th/6th grade science classes in a private, urban middle school. Methods: Physical activity levels of the students during the Active Science framework were measured using pedometers and heart rate monitors. Pre- and post-tests were used to assess the levels of learning achieved by the students in science inquiry skills and content during the Active Science framework. Student perceptions and attitudes toward science and physical activity were measured during student focus groups and pre-post perception surveys. Lesson plan evaluations completed by the teachers and structured interviews provided data on implementation of the framework. Results: Physical activity results showed heart rate (146 +/-9 bpm); maximal heart rate (196 +/-10.6 bpm); time (35 +/-2.5 mins); steps (3050 +/-402.7); calories (99 +/-8.4 kcal); and distance (1.1 +/-0.2 miles) while performing the activity portion of the science lessons were consistent with national recommendations for accumulating school-based physical activity. Significant increases in science content and skills test scores with a 22

  6. Technological Characterization of Wall Paintings from the A Mithraic Tomb Dated to 4th-5th Century AD, Gargaresc, Libya

    NASA Astrophysics Data System (ADS)

    Abd El Salam, S.; Maniatis, Y.

    2009-04-01

    The excavations of Gargaresc started in 1965 and were one of the most important archaeological sites in Tripoli because it includes a period of about 500 years starting from the 1stc. AD was and continuing until the 5th century AD. The Mithraic tomb is one of the most important outlying monuments of Oea, 200 yards south of the western end of Gargaresc oasis, on the left of the Tripoli-Zuara road between kilometers 5 & 6. The tomb is cut in an outcrop of soft sandstone. The wall paintings found were symbolic to the religion of that period; which contained a mixture of older religions and Christian, and presented the interaction between the artistic and religious elements of that time. Several optical, chemical and mineralogical methods were applied to identify the materials, composition and technology of the plasters and mortars, as well as, the pigments used in the tomb. These are: -OP: Optical microscopy was used as the initial examination of polished cross-sections to identify the structure and microstratigraphy of the plasters and mortars as well as the painted layers. -MCT: Micro-chemical tests were used to identify the type of the plasters and mortars- calcium aluminium silicate and water-soluble salt to identify sulphates, chlorides, carbonates, nitrites and nitrates. -SM: Standard methods for chemical analysis to identify the quantitative and qualitative nature of the plasters and mortars and their mixture. -SEM & EDS: Analytical Scanning electron microscope with energy dispersive x-ray analysis system to examine the micrmorphology and determine the chemical composition of the plasters, pigments and the inclusions. -XRD: X-ray powder diffraction to identify the mineralogical composition of the plasters, mortars and pigments. On the bases of all the data obtained, it was possible to establish the nature of the plasters, mortars and their binder. The examination and analysis gave a full picture about the materials and the approximate ratio of amount of

  7. Effect on Physical Activity of a Randomized Afterschool Intervention for Inner City Children in 3rd to 5th Grade

    PubMed Central

    Crouter, Scott E.; de Ferranti, Sarah D.; Whiteley, Jessica; Steltz, Sarah K.; Osganian, Stavroula K.; Feldman, Henry A.; Hayman, Laura L.

    2015-01-01

    Background Less than 45% of U.S. children meet the 60 min.d-1 physical activity (PA) guideline. Structured after-school PA programing is one approach to help increase activity levels. This study aimed to evaluate the feasibility and short-term impact of a supervised after-school PA and nutrition education program on activity levels. Methods Forty-two 3rd-5th graders from an inner-city school in Boston, MA were randomly assigned to a 10-wk after-school program of either: 1) weekly nutrition education, or 2) weekly nutrition education plus supervised PA 3 d.wk-1 at a community-based center. At baseline and follow-up, PA was measured using accelerometry and fitness (VO2max) was estimated using the PACER 15-m shuttle run. Additional measures obtained were non-fasting finger stick total cholesterol (TC) and glucose levels, waist circumference (WC), body mass index (BMI), percent body fat (%BF), and blood pressure (BP). Values are presented as mean±SE, unless noted otherwise. Results Thirty-six participants completed the study (mean±SD; age 9.7±0.9 years). Participants attended >80% of the sessions. After adjusting for accelerometer wear time and other design factors, light and moderate-to-vigorous PA (MVPA) increased in the nutrition+PA group (+21.5±14.5 and +8.6±8.0 min.d-1, respectively) and decreased in the nutrition only group (-35.2±16.3 and -16.0±9.0 min.d-1, respectively); mean difference between groups of 56.8±21.7 min.d-1 (light PA, p = 0.01) and 24.5±12.0 min.d-1 (MVPA, p = 0.04). Time spent in sedentary behaviors declined in the nutrition+PA group (-14.8±20.7 min.d-1) and increased in the nutrition only group (+55.4±23.2 min.d-1); mean difference between groups of -70.2±30.9 min.d-1 (p = 0.02). Neither group showed changes in TC, BP, WC, %BF, BMI percentile, or fitness (p>0.05). Conclusions The supervised afterschool community-based nutrition and PA program was well accepted and had high attendance. The changes in light PA and MVPA has potential

  8. Harmonization of Global Land-Use Scenarios for the Period 1500-2100 for IPCC 5th Assessment

    NASA Astrophysics Data System (ADS)

    Chini, L. P.; Hurtt, G.; Frolking, S.; Klein Goldewijk, K.; Stehfest, E.; Shevliakova, E.; van Vuuren, D. P.; Betts, R.; Feddema, J.; Jones, C.; Kinoshita, T.; Riahi, K.; Smith, S.; Thornton, P.; Wang, Y.

    2008-12-01

    The 5th IPCC assessment will employ new integrated climate and carbon cycle models (CMs) that, for the first time, will use gridded scenarios of future land-use activities. In preparation for this assessment, the international modeling community is developing four Representative Concentration Path (RCP) scenarios developed by four Integrated Assessment Modeling teams (IAMs). The RCP scenarios include land-use changes and will be used as input to CMs. However, the diversity of approaches and requirements among IAMs and CMs for tracking land-use change, along with the dependence of model projections on land-use history, presents a challenge for effectively passing data between these communities and for smoothly transitioning from the historical estimates to future projections. Our goal is to bridge the two communities by developing a harmonized set of land-use scenarios that smoothly connects historical reconstructions of land- use with future projections, in the format required by CMs. We compute consistent global gridded maps of land-use activities and recovering lands as well as the underlying land-use transitions including the effects of wood harvest and shifting cultivation. We build upon the method of Hurtt et al. 2006 and use gridded historical maps of crop and pasture data from HYDE 3.0 1500-2000 (Klein Goldewijk, in prep), historical national wood harvest and shifting cultivation estimates from Hurtt et al. 2006, future agricultural and wood harvest data from IAMs (AIM, IMAGE, MESSAGE, and MiniCAM) 2000-2100, and future climate and CO2 data from IAMs. The resulting half degree gridded maps of subgrid-scale land-use and underlying transitions smoothly progress from past to future in a format that can be used as input into CMs. This harmonized set of products will provide the first consistent set of land-use change and emission scenarios in a consistent format for a large community of CMs to enable studies of the effects of gridded land-use changes on the

  9. 5th National Audit Project (NAP5) on accidental awareness during general anaesthesia: summary of main findings and risk factors.

    PubMed

    Pandit, J J; Andrade, J; Bogod, D G; Hitchman, J M; Jonker, W R; Lucas, N; Mackay, J H; Nimmo, A F; O'Connor, K; O'Sullivan, E P; Paul, R G; Palmer, J H M G; Plaat, F; Radcliffe, J J; Sury, M R J; Torevell, H E; Wang, M; Hainsworth, J; Cook, T M

    2014-10-01

    We present the main findings of the 5th National Audit Project (NAP5) on accidental awareness during general anaesthesia (AAGA). Incidences were estimated using reports of accidental awareness as the numerator, and a parallel national anaesthetic activity survey to provide denominator data. The incidence of certain/probable and possible accidental awareness cases was ~1:19,600 anaesthetics (95% confidence interval 1:16,700-23,450). However, there was considerable variation across subtypes of techniques or subspecialities. The incidence with neuromuscular block (NMB) was ~1:8200 (1:7030-9700), and without, it was ~1:135,900 (1:78,600-299,000). The cases of AAGA reported to NAP5 were overwhelmingly cases of unintended awareness during NMB. The incidence of accidental awareness during Caesarean section was ~1:670 (1:380-1300). Two-thirds (82, 66%) of cases of accidental awareness experiences arose in the dynamic phases of anaesthesia, namely induction of and emergence from anaesthesia. During induction of anaesthesia, contributory factors included: use of thiopental, rapid sequence induction, obesity, difficult airway management, NMB, and interruptions of anaesthetic delivery during movement from anaesthetic room to theatre. During emergence from anaesthesia, residual paralysis was perceived by patients as accidental awareness, and commonly related to a failure to ensure full return of motor capacity. One-third (43, 33%) of accidental awareness events arose during the maintenance phase of anaesthesia, mostly due to problems at induction or towards the end of anaesthesia. Factors increasing the risk of accidental awareness included: female sex, age (younger adults, but not children), obesity, anaesthetist seniority (junior trainees), previous awareness, out-of-hours operating, emergencies, type of surgery (obstetric, cardiac, thoracic), and use of NMB. The following factors were not risk factors for accidental awareness: ASA physical status, race, and use or omission

  10. CEMI Days

    SciTech Connect

    2015-07-01

    CEMI Days are an important channel of engagement between DOE and the manufacturing industry to identify challenges and opportunities for increasing U.S. manufacturing competitiveness. CEMI Days that are held at manufacturing companies’ facilities can include tours of R&D operations or other points of interest determined by the host company.

  11. Dinosaur Day!

    ERIC Educational Resources Information Center

    Nakamura, Sandra; Baptiste, H. Prentice

    2006-01-01

    In this article, the authors describe how they capitalized on their first-grade students' love of dinosaurs by hosting a fun-filled Dinosaur Day in their classroom. On Dinosaur Day, students rotated through four dinosaur-related learning stations that integrated science content with art, language arts, math, and history in a fun and time-efficient…

  12. Fuzzy learning under and about an unfamiliar fuzzy teacher

    NASA Technical Reports Server (NTRS)

    Dasarathy, Belur V.

    1992-01-01

    This study addresses the problem of optimal parametric learning in unfamiliar fuzzy environments. Prior studies in the domain of unfamiliar environments, which employed either crisp or fuzzy approaches to model the uncertainty or imperfectness of the learning environment, assumed that the training sample labels provided by the unfamiliar teacher were crisp, even if not perfect. Here, the more realistic problem of fuzzy learning under an unfamiliar teacher who provides only fuzzy (instead of crisp) labels, is tackled by expanding the previously defined fuzzy membership concepts to include an additional component representative of the fuzziness of the teacher. The previously studied scenarios, namely, crisp and fuzzy learning under (crisp) unfamiliar teacher, can be looked upon as special cases of this new methodology. As under the earlier studies, the estimated membership functions can then be deployed during the ensuing classification decision phase to judiciously take into account the imperfectness of the learning environment. The study also offers some insight into the properties of several of these fuzzy membership function estimators by examining their behavior under certain specific scenarios.

  13. New geometrical perspective of fuzzy ART and fuzzy ARTMAP learning

    NASA Astrophysics Data System (ADS)

    Anagnostopoulos, Georgios C.; Georgiopoulos, Michael

    2001-03-01

    In this paper we introduce new useful, geometric concepts regarding categories in Fuzzy ART and Fuzzy ARTMAP, which shed more light into the process of category competition eligibility upon the presentation of input patterns. First, we reformulate the competition of committed nodes with uncommitted nodes in an F2 layer as a commitment test very similar to the vigilance test. Next, we introduce a category's match and choice regions, which are the geometric interpretation of the vigilance and commitment test respectively. After examining properties of these regions we reach three results applicable to both Fuzzy ART and Fuzzy ARTMAP. More specifically, we show that only one out of these two tests is required; which test needs to be performed depends on the values of the vigilance parameter (rho) and the choice parameter (alpha) . Also, we show that for a specific relation of (rho) and (alpha) , the vigilance (rho) does not influence the training or performance phase of Fuzzy ART and Fuzzy ARTMAP. Finally, we refine a previously published upper bound on the size of the categories created during training in Fuzzy ART and Fuzzy ARTMAP.

  14. Proceedings for the 5th Asia-Pacific Conference on Disaster Medicine: creating an agenda for action.

    PubMed

    De Grace, M; Ericson, D; Folz, H; Greene, W; Ho, K; Pearce, L

    2001-01-01

    Disaster medicine has come to the forefront and has become the focus of interest not only in the medical community, but also in the eyes of the public. The 5th APCDM was convened in Vancouver, Canada, 27-30 September 2000. It brought together over 300 delegates from 32 countries to share their experiences and thoughts regarding disaster events and how to effectively manage them. The conference was devoted to the task of establishing priorities and creating an Agenda for Action. From the discussions, key actions required were defined: COMMUNICATIONS: (1) Identify existing regional telehealth groups and gather lessons to be learned from them; (2) Form a telehealth advisory group to work with regional groups to compile telehealth initiatives, identify international protocols in telehealth already in existence, and solicit feedback before setting international standards; and (3) Increase corporate partnerships in the fields of telehealth and telecommunications, and invite corporations to send delegates to future APCDM meetings. This should be an initiative of the APCDM, the World Association of Disaster and Emergency Medicine (WADEM), or the European Society of Emergency Medicine. EDUCATION AND RESEARCH: (1) Formalize education in disaster medicine and management. The World Health Organization and WADEM should take a leadership role; (2) WADEM is requested to hold a conference with a focus on qualitative research; (3) WHO is requested to continue the provision of international research teams, but to advocate for the development of national disaster research infrastructure; (4) Make research findings and reports available on web sites of such organizations as WHO and PAHO; (5) Develop the translation of research for community utilization. The WHO and PAHO are organizations that are requested to consider this action; and (6) WADEM/APCDM are requested to focus future conferences on applied research. INFORMATION AND DATA: (1) Create an "Information and Data Clearinghouse

  15. Proceedings for the 5th Asia-Pacific Conference on Disaster Medicine: creating an agenda for action.

    PubMed

    De Grace, M; Ericson, D; Folz, H; Greene, W; Ho, K; Pearce, L

    2001-01-01

    Disaster medicine has come to the forefront and has become the focus of interest not only in the medical community, but also in the eyes of the public. The 5th APCDM was convened in Vancouver, Canada, 27-30 September 2000. It brought together over 300 delegates from 32 countries to share their experiences and thoughts regarding disaster events and how to effectively manage them. The conference was devoted to the task of establishing priorities and creating an Agenda for Action. From the discussions, key actions required were defined: COMMUNICATIONS: (1) Identify existing regional telehealth groups and gather lessons to be learned from them; (2) Form a telehealth advisory group to work with regional groups to compile telehealth initiatives, identify international protocols in telehealth already in existence, and solicit feedback before setting international standards; and (3) Increase corporate partnerships in the fields of telehealth and telecommunications, and invite corporations to send delegates to future APCDM meetings. This should be an initiative of the APCDM, the World Association of Disaster and Emergency Medicine (WADEM), or the European Society of Emergency Medicine. EDUCATION AND RESEARCH: (1) Formalize education in disaster medicine and management. The World Health Organization and WADEM should take a leadership role; (2) WADEM is requested to hold a conference with a focus on qualitative research; (3) WHO is requested to continue the provision of international research teams, but to advocate for the development of national disaster research infrastructure; (4) Make research findings and reports available on web sites of such organizations as WHO and PAHO; (5) Develop the translation of research for community utilization. The WHO and PAHO are organizations that are requested to consider this action; and (6) WADEM/APCDM are requested to focus future conferences on applied research. INFORMATION AND DATA: (1) Create an "Information and Data Clearinghouse

  16. Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting

    SciTech Connect

    Srinivasan, D.; Chang, C.S.; Liew, A.C.

    1995-11-01

    This paper describes the implementation and forecasting results of a hybrid fuzzy neural technique, which combines neural network modeling, and techniques from fuzzy logic and fuzzy set theory for electric load forecasting. The strengths of this powerful technique lie in its ability to forecast accurately on weekdays, as well as, on weekends, public holidays, and days before and after public holidays. Furthermore, use of fuzzy logic effectively handles the load variations due to special events. The Fuzzy-Neural Network (FNN) has been extensively tested on actual data obtained from a power system for 24-hour ahead prediction based on forecast weather information. Very impressive results, with an average error of 0.62% on weekdays, 0.83% on Saturdays and 1.17% on Sundays and public holidays have been obtained. This approach avoids complex mathematical calculations and training on many years of data, and is simple to implement on a personal computer.

  17. Career Day

    NASA Video Gallery

    NASA's 2013 Career Days was a joint collaboration between NASA Langley and the Newport News Shipbuilding where 600 high school students from Virginia took on two design challenges -- designing a ca...

  18. Zoo Day.

    ERIC Educational Resources Information Center

    Warden, Marian

    1978-01-01

    Zoo Day was one of the culminating activities of Art Extravaganza, a pilot summer art program for high ability first-and second-graders. Field trips, art history lessons, box sculpture, and a study of cavemen were included. (SJL)

  19. Teaching Machines to Think Fuzzy

    ERIC Educational Resources Information Center

    Technology Teacher, 2004

    2004-01-01

    Fuzzy logic programs for computers make them more human. Computers can then think through messy situations and make smart decisions. It makes computers able to control things the way people do. Fuzzy logic has been used to control subway trains, elevators, washing machines, microwave ovens, and cars. Pretty much all the human has to do is push one…

  20. Effect of Anatomical Modeling on Space Radiation Dose Estimates: A Comparison of Doses for NASA Phantoms and 5th, 50th, and 95th Percentile UF Hybrid Phantoms

    NASA Technical Reports Server (NTRS)

    Bahadori, A.; VanBaalen, M.; Shavers, M.; Semones, E.; Dodge, C.; Bolch, W.

    2010-01-01

    The estimate of absorbed dose to individual organs of a space crewmember is affected by the geometry of the anatomical model of the astronaut used in the radiation transport calculation. For astronaut dosimetry, NASA currently uses the computerized anatomical male (CAM) and computerized anatomical female (CAF) stylized phantoms to represent astronauts in its operational radiation dose analyses. These phantoms are available in one size and in two body positions. In contrast, the UF Hybrid Adult Male and Female (UFHADM and UFHADF) phantoms have organ shapes based on actual CT data. The surfaces of these phantoms are defined by non-uniform rational B-spline surfaces, and are thus flexible in terms of body morphometry and extremity positioning. In this study, UFHADM and UFHADF are scaled to dimensions corresponding to 5th, 50th, and 95th percentile (PCTL) male and female astronauts. A ray-tracing program is written in Visual Basic 2008, which is then used to create areal density maps for dose points corresponding to various organs within the phantoms. The areal density maps, along with appropriate space radiation spectra, are input into the NASA program couplet HZETRN/BRYNTRN, and organ doses are calculated. The areal density maps selected tissues and organs of the 5th, 50th, and 95th PCTL male and female phantoms are presented and compared. In addition, the organ doses for the 5th, 50th, and 95th PCTL male and female phantoms are presented and compared to organ doses for CAM and CAF.

  1. FOREWORD: The 5th International Colloquium on Atomic Spectra and Oscillator Strengths for Astrophysical and Laboratory Plasmas

    NASA Astrophysics Data System (ADS)

    Tchang-Brillet, Wad Lydia; Wyart, Jean-François; Zeippen, Claude

    1996-01-01

    The 5th International Colloquium on Atomic Spectra and Oscillator Strengths for Astrophysical and Laboratory Plasmas was held in Meudon, France, from August 28 to 31 1995. It was the fifth in a series started by the Atomic Spectroscopic Group at the University of Lund, Sweden, in 1983. Then followed the meetings in Toledo, USA, Amsterdam, The Nether- lands and Gaithersburg, USA, with a three year period. The original title of the series ended with "... for Astrophysics and Fusion Research" and became more general with the 4th colloquium in Gaithersburg. The purpose of the present meeting was, in line with tradition, to bring together "producers" and "users" of atomic data so as to ensure optimal coordination. Atomic physicists who study the structure of atoms and their radiative and collisional properties were invited to explain the development of their work, emphasizing the possibilities of producing precise transition wavelengths and relative line intensities. Astrophysicists and laboratory plasma physicists were invited to review their present research interests and the context in which atomic data are needed. The number of participants was about 70 for the first three meetings, then exploded to 170 at Gaithersburg. About 140 participants, coming from 13 countries, attended the colloquium in Meudon. This large gathering was partly due to a number of participants from Eastern Europe larger than in the past, and it certainly showed a steady interest for interdisciplinary exchanges between different communities of scientists. This volume includes all the invited papers given at the conference and, in the appendix, practical information on access to some databases. All invited speakers presented their talks aiming at good communication between scientists from different backgrounds. A separate bound volume containing extended abstracts of the poster papers has been published by the Publications de l'Observatoire de Paris, (Meudon 1996), under the responsibility of

  2. Fuzzy portfolio model with fuzzy-input return rates and fuzzy-output proportions

    NASA Astrophysics Data System (ADS)

    Tsaur, Ruey-Chyn

    2015-02-01

    In the finance market, a short-term investment strategy is usually applied in portfolio selection in order to reduce investment risk; however, the economy is uncertain and the investment period is short. Further, an investor has incomplete information for selecting a portfolio with crisp proportions for each chosen security. In this paper we present a new method of constructing fuzzy portfolio model for the parameters of fuzzy-input return rates and fuzzy-output proportions, based on possibilistic mean-standard deviation models. Furthermore, we consider both excess or shortage of investment in different economic periods by using fuzzy constraint for the sum of the fuzzy proportions, and we also refer to risks of securities investment and vagueness of incomplete information during the period of depression economics for the portfolio selection. Finally, we present a numerical example of a portfolio selection problem to illustrate the proposed model and a sensitivity analysis is realised based on the results.

  3. Inspire Day

    ERIC Educational Resources Information Center

    Bohach, Barbara M.; Meade, Birgitta

    2014-01-01

    The authors collaborated on hosting a "Spring Inspire Day." planned and delivered by preservice elementary teachers as a social studies/science methods project. Projects that have authentic application opportunities can make learning meaningful for prospective teachers as well as elementary students. With the impetus for an integrated…

  4. Energy Day.

    ERIC Educational Resources Information Center

    Thomas, Peter

    1997-01-01

    Describes a program in which students present their displays in the normal science-fair style but without the competitive element and more as a "science-share". Describes an "energy day" celebration which included an energy exhibition and engaged students in an "energy decathlon" that challenged them with tasks encompassing many aspects of energy.…

  5. 34 CFR 300.11 - Day; business day; school day.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Day; business day; school day. 300.11 Section 300.11... CHILDREN WITH DISABILITIES General Definitions Used in This Part § 300.11 Day; business day; school day. (a) Day means calendar day unless otherwise indicated as business day or school day. (b) Business...

  6. Incremental neuro-fuzzy systems

    NASA Astrophysics Data System (ADS)

    Fritzke, Bernd

    1997-10-01

    The poor scaling behavior of grid-partitioning fuzzy systems in case of increasing data dimensionality suggests using fuzzy systems with a scatter-partition of the input space. Jang has shown that zero-order Sugeno fuzzy systems are equivalent to radial basis function networks (RBFNs). Methods for finding scatter partitions for RBFNs are available, and it is possible to use them for creating scatter-partitioning fuzzy systems. A fundamental problem, however, is the structure identification problem, i.e., the determination of the number of fuzzy rules and their positions in the input space. The supervised growing neural gas method uses classification or regression error to guide insertions of new RBF units. This leads to a more effective positioning of RBF units (fuzzy rule IF-parts, resp.) than achievable with the commonly used unsupervised clustering methods. Example simulations of the new approach are shown demonstrating superior behavior compared with grid-partitioning fuzzy systems and the standard RBF approach of Moody and Darken.

  7. Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, volume 2

    NASA Technical Reports Server (NTRS)

    Culbert, Christopher J. (Editor)

    1993-01-01

    Papers presented at the Neural Networks and Fuzzy Logic Workshop sponsored by the National Aeronautics and Space Administration and cosponsored by the University of Houston, Clear Lake, held 1-3 Jun. 1992 at the Lyndon B. Johnson Space Center in Houston, Texas are included. During the three days approximately 50 papers were presented. Technical topics addressed included adaptive systems; learning algorithms; network architectures; vision; robotics; neurobiological connections; speech recognition and synthesis; fuzzy set theory and application, control and dynamics processing; space applications; fuzzy logic and neural network computers; approximate reasoning; and multiobject decision making.

  8. Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, volume 1

    NASA Technical Reports Server (NTRS)

    Culbert, Christopher J. (Editor)

    1993-01-01

    Documented here are papers presented at the Neural Networks and Fuzzy Logic Workshop sponsored by the National Aeronautics and Space Administration and cosponsored by the University of Houston, Clear Lake. The workshop was held June 1-3, 1992 at the Lyndon B. Johnson Space Center in Houston, Texas. During the three days approximately 50 papers were presented. Technical topics addressed included adaptive systems; learning algorithms; network architectures; vision; robotics; neurobiological connections; speech recognition and synthesis; fuzzy set theory and application, control, and dynamics processing; space applications; fuzzy logic and neural network computers; approximate reasoning; and multiobject decision making.

  9. Fuzzy expert systems using CLIPS

    NASA Technical Reports Server (NTRS)

    Le, Thach C.

    1994-01-01

    This paper describes a CLIPS-based fuzzy expert system development environment called FCLIPS and illustrates its application to the simulated cart-pole balancing problem. FCLIPS is a straightforward extension of CLIPS without any alteration to the CLIPS internal structures. It makes use of the object-oriented and module features in CLIPS version 6.0 for the implementation of fuzzy logic concepts. Systems of varying degrees of mixed Boolean and fuzzy rules can be implemented in CLIPS. Design and implementation issues of FCLIPS will also be discussed.

  10. Fuzzy Thinking in Non-Fuzzy Situations: Understanding Students' Perspective.

    ERIC Educational Resources Information Center

    Zazkis, Rina

    1995-01-01

    In mathematics a true statement is always true, but some false statements are more false than others. Fuzzy logic provides a way of handling degrees of set membership and has implications for helping students appreciate logical thinking. (MKR)

  11. Evaluation of fuzzy inference systems using fuzzy least squares

    NASA Technical Reports Server (NTRS)

    Barone, Joseph M.

    1992-01-01

    Efforts to develop evaluation methods for fuzzy inference systems which are not based on crisp, quantitative data or processes (i.e., where the phenomenon the system is built to describe or control is inherently fuzzy) are just beginning. This paper suggests that the method of fuzzy least squares can be used to perform such evaluations. Regressing the desired outputs onto the inferred outputs can provide both global and local measures of success. The global measures have some value in an absolute sense, but they are particularly useful when competing solutions (e.g., different numbers of rules, different fuzzy input partitions) are being compared. The local measure described here can be used to identify specific areas of poor fit where special measures (e.g., the use of emphatic or suppressive rules) can be applied. Several examples are discussed which illustrate the applicability of the method as an evaluation tool.

  12. Fuzzy Content-Based Retrieval in Image Databases.

    ERIC Educational Resources Information Center

    Wu, Jian Kang; Narasimhalu, A. Desai

    1998-01-01

    Proposes a fuzzy-image database model and a concept of fuzzy space; describes fuzzy-query processing in fuzzy space and fuzzy indexing on complete fuzzy vectors; and uses an example image database, the computer-aided facial-image inference and retrieval system (CAFIIR), for explanation throughout. (Author/LRW)

  13. Valentine's Day

    NASA Technical Reports Server (NTRS)

    2006-01-01

    [figure removed for brevity, see original site] Context image for PIA02174 Valentine's Day

    This isolated mesa [lower left center of the image] has an almost heart-shaped margin. Happy Valentine's Day from Mars.

    Image information: VIS instrument. Latitude 29.4N, Longitude 79.1E. 18 meter/pixel resolution.

    Note: this THEMIS visual image has not been radiometrically nor geometrically calibrated for this preliminary release. An empirical correction has been performed to remove instrumental effects. A linear shift has been applied in the cross-track and down-track direction to approximate spacecraft and planetary motion. Fully calibrated and geometrically projected images will be released through the Planetary Data System in accordance with Project policies at a later time.

    NASA's Jet Propulsion Laboratory manages the 2001 Mars Odyssey mission for NASA's Office of Space Science, Washington, D.C. The Thermal Emission Imaging System (THEMIS) was developed by Arizona State University, Tempe, in collaboration with Raytheon Santa Barbara Remote Sensing. The THEMIS investigation is led by Dr. Philip Christensen at Arizona State University. Lockheed Martin Astronautics, Denver, is the prime contractor for the Odyssey project, and developed and built the orbiter. Mission operations are conducted jointly from Lockheed Martin and from JPL, a division of the California Institute of Technology in Pasadena.

  14. Learning and adaptation in fuzzy neural systems

    NASA Astrophysics Data System (ADS)

    Gupta, Madan M.

    1992-03-01

    In recent years, an increasing number of researchers have become involved in the subject of fuzzy neural networks in the hope of combining the reasoning strength of fuzzy logic and the learning and adaptation power of neural networks. This provides a more powerful tool for fuzzy information processing and for exploring the functioning of human brains. In this paper, an attempt has been made to establish some basic models for fuzzy neurons. First, several possible fuzzy neuron models are proposed. Second, synaptic and somatic learning and adaptation mechanisms are proposed. Finally, the possibility of applying nonfuzzy neural networks approaches to fuzzy systems is also described.

  15. Dynamical tachyons on fuzzy spheres

    SciTech Connect

    Berenstein, David; Trancanelli, Diego

    2011-05-15

    We study the spectrum of off-diagonal fluctuations between displaced fuzzy spheres in the Berenstein-Maldacena-Nastase plane wave matrix model. The displacement is along the plane of the fuzzy spheres. We find that when two fuzzy spheres intersect at angles, classical tachyons develop and that the spectrum of these modes can be computed analytically. These tachyons can be related to the familiar Nielsen-Olesen instabilities in Yang-Mills theory on a constant magnetic background. Many features of the problem become more apparent when we compare with maximally supersymmetric Yang-Mills theory on a sphere, of which this system is a truncation. We also set up a simple oscillatory trajectory on the displacement between the fuzzy spheres and study the dynamics of the modes as they become tachyonic for part of the oscillations. We speculate on their role regarding the possible thermalization of the system.

  16. Fuzzy Representation of Soil Erosion

    NASA Astrophysics Data System (ADS)

    Komaki, Ch. B.; Kainz, W.; Alavi Panah, S. K.; Matinfar, H. R.

    2009-04-01

    Fuzzy representation is a productive method to explain the natural processes so that it is near to linguistic form and it is also applicable to estimate the environmental processes in where the uncertainty in information is high. As models proposed to estimate soil erosion also have uncertainties and fuzzy inference system is more flexible in describing the relationship between soil erosion and other factor, especially in managing data and model uncertainties. in the research, it is used simplified model of revised Universal Soil Loss Equation (RUSLE) to estimate soil erosion in dry lands of Kashan area in Central Iran . Then to discover the systematic (IF-Then) rules in soil erosion process, we used inductive reasoning method to discover rules of the causing agents of erosion such as rainfall erosivity, topography factors, soil erodibility , then highly supported rules converted to fuzzy rules. It is resulted that the application of fuzzy inference system for erosion evaluation is applicable in regional level.

  17. Knowledge representation in fuzzy logic

    NASA Technical Reports Server (NTRS)

    Zadeh, Lotfi A.

    1989-01-01

    The author presents a summary of the basic concepts and techniques underlying the application of fuzzy logic to knowledge representation. He then describes a number of examples relating to its use as a computational system for dealing with uncertainty and imprecision in the context of knowledge, meaning, and inference. It is noted that one of the basic aims of fuzzy logic is to provide a computational framework for knowledge representation and inference in an environment of uncertainty and imprecision. In such environments, fuzzy logic is effective when the solutions need not be precise and/or it is acceptable for a conclusion to have a dispositional rather than categorical validity. The importance of fuzzy logic derives from the fact that there are many real-world applications which fit these conditions, especially in the realm of knowledge-based systems for decision-making and control.

  18. Fuzzy Logic Particle Tracking

    NASA Technical Reports Server (NTRS)

    2005-01-01

    A new all-electronic Particle Image Velocimetry technique that can efficiently map high speed gas flows has been developed in-house at the NASA Lewis Research Center. Particle Image Velocimetry is an optical technique for measuring the instantaneous two component velocity field across a planar region of a seeded flow field. A pulsed laser light sheet is used to illuminate the seed particles entrained in the flow field at two instances in time. One or more charged coupled device (CCD) cameras can be used to record the instantaneous positions of particles. Using the time between light sheet pulses and determining either the individual particle displacements or the average displacement of particles over a small subregion of the recorded image enables the calculation of the fluid velocity. Fuzzy logic minimizes the required operator intervention in identifying particles and computing velocity. Using two cameras that have the same view of the illumination plane yields two single exposure image frames. Two competing techniques that yield unambiguous velocity vector direction information have been widely used for reducing the single-exposure, multiple image frame data: (1) cross-correlation and (2) particle tracking. Correlation techniques yield averaged velocity estimates over subregions of the flow, whereas particle tracking techniques give individual particle velocity estimates. For the correlation technique, the correlation peak corresponding to the average displacement of particles across the subregion must be identified. Noise on the images and particle dropout result in misidentification of the true correlation peak. The subsequent velocity vector maps contain spurious vectors where the displacement peaks have been improperly identified. Typically these spurious vectors are replaced by a weighted average of the neighboring vectors, thereby decreasing the independence of the measurements. In this work, fuzzy logic techniques are used to determine the true

  19. Routing cancer immunology and immunotherapy from the lab to the clinic 4–5 th March 2014, Center for Applied Medical Research and University Clinic, Pamplona, Spain

    PubMed Central

    2014-01-01

    New approaches to generate effective anticancer responses by either inducing immune responses or inhibiting immunosuppression are under development to improve efficacy in patients. On March 4-5th, 2014, a symposium was held in Pamplona, Spain, to report the new strategies showing preclinical and clinical results regarding translational research efforts on the topic. Participants interacted through oral presentations of 15 speakers and further discussions on topics that included novel therapeutic agents for cancer immunotherapy, viral vectors and interferon-based approaches, experimental tumor imaging and immunostimulatory monoclonal antibodies. Promising agents to target cancer cells and therapeutic approaches that are under translation from bench to patients were presented. PMID:25060862

  20. Routing cancer immunology and immunotherapy from the lab to the clinic 4-5 th March 2014, Center for Applied Medical Research and University Clinic, Pamplona, Spain.

    PubMed

    Aznar, M Ángela; Melero, Ignacio; Quetglas, José I

    2014-01-01

    New approaches to generate effective anticancer responses by either inducing immune responses or inhibiting immunosuppression are under development to improve efficacy in patients. On March 4-5th, 2014, a symposium was held in Pamplona, Spain, to report the new strategies showing preclinical and clinical results regarding translational research efforts on the topic. Participants interacted through oral presentations of 15 speakers and further discussions on topics that included novel therapeutic agents for cancer immunotherapy, viral vectors and interferon-based approaches, experimental tumor imaging and immunostimulatory monoclonal antibodies. Promising agents to target cancer cells and therapeutic approaches that are under translation from bench to patients were presented.

  1. Science Across Borders: 5th Annual Natural Health Product Research Conference—March 26–29, 2008, Toronto, Canada

    PubMed Central

    2010-01-01

    Canada is experiencing a growing interest in the use of alternative therapies and products particularly natural health products (NHP). In 1997, Canadians spent around C$ 2 billion on NHP. In an attempt to catch with this popularity of NHP use, Canadian researchers and administrators from academia, industry and government jointly established the Natural Health Product Research Society of Canada (NHPRS). Since its formation, NHPRS has been organizing an annual meeting which brings together world renowned researchers and experts in the area of NHP research. For 2008, the annual NHPRS meeting took place in Toronto from the 26th to 29th of March with a focus on ‘Science Across Borders: Global Natural Health Products Research’. The scientific program was spread into three days of plenary lectures and oral presentations. The different sessions containing these talks were on: ethnobotany around the world; chemical analysis of NHP; product standards and quality control; ethnomedicine; novel analytical approaches; systemic research, nutrisciences and molecular medicine; and drug development from NHP. The meeting proved to be a great success in terms of the speakers that were invited and based on the data that was presented which highlighted recent research taking place in the field of NHP not only in Canada but from many parts of the world. PMID:18955362

  2. A Novel Method for Discovering Fuzzy Sequential Patterns Using the Simple Fuzzy Partition Method.

    ERIC Educational Resources Information Center

    Chen, Ruey-Shun; Hu, Yi-Chung

    2003-01-01

    Discusses sequential patterns, data mining, knowledge acquisition, and fuzzy sequential patterns described by natural language. Proposes a fuzzy data mining technique to discover fuzzy sequential patterns by using the simple partition method which allows the linguistic interpretation of each fuzzy set to be easily obtained. (Author/LRW)

  3. Lorentzian fuzzy spheres

    NASA Astrophysics Data System (ADS)

    Chaney, A.; Lu, Lei; Stern, A.

    2015-09-01

    We show that fuzzy spheres are solutions of Lorentzian Ishibashi-Kawai-Kitazawa-Tsuchiya-type matrix models. The solutions serve as toy models of closed noncommutative cosmologies where big bang/crunch singularities appear only after taking the commutative limit. The commutative limit of these solutions corresponds to a sphere embedded in Minkowski space. This "sphere" has several novel features. The induced metric does not agree with the standard metric on the sphere, and, moreover, it does not have a fixed signature. The curvature computed from the induced metric is not constant, has singularities at fixed latitudes (not corresponding to the poles) and is negative. Perturbations are made about the solutions, and are shown to yield a scalar field theory on the sphere in the commutative limit. The scalar field can become tachyonic for a range of the parameters of the theory.

  4. It takes a community to define a discipline: the 5th anniversary of Environmental Research Letters It takes a community to define a discipline: the 5th anniversary of Environmental Research Letters

    NASA Astrophysics Data System (ADS)

    Kammen, Dan

    2012-03-01

    process of community building. ERL sought and continues to seek ways to lead this conversation. 1. Open access and equity First, all ERL articles and data sets are entirely open access. Once published, the materials are free to all users, affluent and poor, anywhere in the world. This is vital for a number of reasons. Environmental stress, degradation, and the creation of innovative solutions involves a global dialog, where traditional expensive subscription and single article costs, as some journals charge, are a complete barrier to researchers, fledgling entrepreneurs, and the public sector in developing nations and in poor communities. Instead, ERL charges authors a fee, generally covered by research grants. Further, we have been able to waive the open access article charge for authors based in areas of the world where this fee may prove prohibitive, as it can be in many developing countries. In this open access format, ERL publishes cutting-edge original research letters, commentary-style 'Perspective' pieces and editorial articles. ERL is committed to staying at the forefront of the 'gold standard' for open access publishing of articles and data—something that journals are increasingly taking up—and as new ideas come in as to how to improve this process, we will look to put them into practice. 2. Build a network researching sustainability Second, a journal that reaches across so many disciplines needs to be a place where results are not only reviewed and published quickly, but are then accessible to a broad audience, and are available for debate and conversation. ERL strives to maintain a 90 day timeline from submission to fully peer-reviewed publication online. This process in particular has only been possible with the incredible support of two groups: (1) the dedication of IOP Publishing and the amazingly talented staff they have been able to identify and recruit to work on ERL, and (2) the journal's Editorial Board. We have a team of Editors made up of the

  5. Using a Spreadsheet to Compute the Maximum Wind Sector 99.5th Percentile X/Q Value in Accordance with DOE-STD-3009-2014.

    PubMed

    Vickers, Linda

    2016-05-01

    The U.S. Department of Energy Standard 3009-2014 requires one of two methods to determine the simple Gaussian relative concentration (X/Q) of pollutant at plume centerline downwind to a receptor for a 2-h exposure duration from a ground-level release (i.e., less than 10 m height) which are (1) the 99.5th percentile X/Q for the directionally-dependent method and (2) the 95th percentile X/Q for the directionally-independent method. This paper describes how to determine the simple Gaussian 99.5th percentile X/Q for the directionally-dependent method using an electronic spreadsheet. Refer to a previous paper to determine the simple Gaussian 95th percentile X/Q for the directionally-independent method using an electronic spreadsheet (Vickers 2015). The method described herein is simple, quick, accurate, and transparent because all of the data, calculations, and results are visible for validation and verification. PMID:27023153

  6. Rabies vaccine standards: comparison of the 5th and 6th WHO international reference standards to the USDA veterinary reference standard.

    PubMed

    Hermann, J; Fry, A; Reising, M; Patterson, P; Siev, D; Gatewood, D

    2012-11-01

    Ensuring rabies vaccines are potent and effective is paramount in preventing transmission of this deadly disease and safeguarding public health. Efficacy of human and veterinary vaccines is ensured by evaluating relative potency estimates of the vaccine compared to a rabies reference standard using the National Institutes of Health (NIH) test. Reference vaccines are based on the International Standard for Rabies Vaccine provided by the World Health Organization (WHO). A comparison study was conducted to determine the relative potency of the 5th WHO, 6th WHO, and United States Department of Agriculture's (USDA) 08-14 reference standards using the NIH test. Results from the study demonstrate that the 6th WHO reference standard is approximately twice as potent as the 5th WHO reference when reconstituted to contain 1 IU per ml. Based on these results, the Center for Veterinary Biologics (CVB) doubled the reconstitution volume of USDA veterinary reference 08-14 from 13 ml to 26 ml, for an initial use dilution of 0.7 IU per ml for use by veterinary biologics manufacturers in the NIH test. This study emphasizes the importance of reference standard calibration for use in the National Institutes of Health test.

  7. The 5th IUPAP International Conference on Women in Physics: Making progress in the number of women in physics around the world

    NASA Astrophysics Data System (ADS)

    Cunningham, Beth

    2015-04-01

    A short report on the 5th IUPAP International Conference on Women in Physics (ICWIP) will be presented. In particular, a summary of the structure of the 5th ICWIP that occurred in Waterloo, Canada in August 2014 will be provided and placed into context of the previous four conferences. In addition, a synopsis of the recent efforts that are happening around the world to encourage girls and women to participate in physics will be given. Several US projects have been very successful in introducing girls to science and physics (e.g., ``Expanding Your Horizons'' intervention) and encouraging undergraduate women physics majors to continue into physics careers (e.g., Conferences for Undergraduate Women in Physics). Projects from other countries, such as the Juno Project in the UK that rates physics departments on their climate for women, might be implemented by US physics professional societies as well as colleges and universities. Several projects originating from the conference will be described: the new ``HERstories: Encouraging words from women in physics'' video based on interviews with delegates of the Conference, the My STEM Story project (http://mystemstory.wlu.ca), and the proceedings of the conference. Partial support provided by NSF #PHY-1419453.

  8. PREFACE: 5th International Workshop DICE2010: Space-Time-Matter - Current Issues in Quantum Mechanics and Beyond

    NASA Astrophysics Data System (ADS)

    Diósi, Lajos; Elze, Hans-Thomas; Fronzoni, Leone; Halliwell, Jonathan; Prati, Enrico; Vitiello, Giuseppe; Yearsley, James

    2011-07-01

    These proceedings present the Invited Lectures and Contributed Papers of the Fifth International Workshop on Decoherence, Information, Complexity and Entropy - DICE 2010, held at Castello Pasquini, Castiglioncello (Tuscany), 13-17 September 2010. These proceedings are intended to document the stimulating exchange of ideas at this conference for both the interested public and the wider scientific community, as well as for the participants. The number of participants attending this series of meetings has been growing steadily, which reflects its increasing attraction. Our intention to bring together leading researchers, advanced students, and renowned scholars from various areas in order to stimulate new ideas and their exchange across the borders of specialization seems to bear fruit. In this way, the series of meetings has continued successfully from the beginning with DICE 2002 [1], followed by DICE 2004 [2], DICE 2006 [3], and DICE 2008 [4], uniting more than 100 participants representing almost 30 countries worldwide. It has been a great honour and inspiration to have Professor Luc Montagnier (Nobel Prize for Medicine 2008) from the World Foundation for AIDS Research and Prevention with us, who presented the lecture DNA waves and water (included in this volume). The discussions took place under the wider theme Space-Time-Matter - current issues in quantum mechanics and beyond in the very pleasant and inspiring atmosphere of Castello Pasquini, which - with its beautiful surroundings, overlooking the Tuscany coast - hosted the conference very successfully for the second time. The five-day program was grouped according to the following topics: Gravity and Quantum Mechanics Quantum Coherent Processes in Biology / Many-Body Systems From Quantum Foundations to Particle Physics The Deep Structure of Spacetime Quantum - Relativity - Cosmology A Public Roundtable Discussion formed an integral part of the program under the theme Sull' Onda Della Coerenza" - le nuove

  9. PREFACE: 5th Symposium on Large TPCs for Low Energy Rare Event Detection and Workshop on Neutrinos from Supernovae

    NASA Astrophysics Data System (ADS)

    Irastorza, Igor G.; Scholberg, Kate; Colas, Paul; Giomataris, Ioannis

    2011-08-01

    The Fifth International Symposium on large TPCs for low-energy rare-event detection was held at the auditorium of the Astroparticle and Cosmology (APC) Laboratory in Paris, on 14-17 December 2010. As for all previous meetings, always held in Paris in 2008, 2006, 2004 and 2002, it brought together a significant community of physicists involved in rare event searches and/or development of time projection chambers (TPCs). As a novelty this year, the meeting was extended with two half-day sessions on Supernova physics. These proceedings also include the contributions corresponding to the supernova sessions. The purpose of the meeting was to present and discuss the status of current experiments or projects involving the use of TPCs to search for rare events, like low-energy neutrinos, double beta decay, dark matter or axion experiments, as well as to discuss new results and ideas in the framework of the last developments of Micro Pattern Gaseous Detectors (MPGD), and how these are being - or could be - applied to these searches. As in previous meetings in this series, the format included an informal program with some recent highlighted results, rather than exhaustive reviews, with time for discussion and interaction. The symposium, the fifth of the series, is becoming consolidated as a regular meeting place for the synergic interplay between the fields of rare events and TPC development. The meeting started with a moving tribute by Ioannis Giomataris to the memory of George Charpak, who recently passed away. We then moved on to the usual topics like the status of some low-energy neutrino physics and double beta decay experiments, dark matter experiments with directional detectors, axion searches, or development results. A relevant subject this time was the electroluminescence in Xe TPCs, covered by several speakers. Every time the conference program is enriched with original slightly off-topic contributions that trigger the curiosity and stimulate further thought. As

  10. Consistent linguistic fuzzy preference relations method with ranking fuzzy numbers

    NASA Astrophysics Data System (ADS)

    Ridzuan, Siti Amnah Mohd; Mohamad, Daud; Kamis, Nor Hanimah

    2014-12-01

    Multi-Criteria Decision Making (MCDM) methods have been developed to help decision makers in selecting the best criteria or alternatives from the options given. One of the well known methods in MCDM is the Consistent Fuzzy Preference Relation (CFPR) method, essentially utilizes a pairwise comparison approach. This method was later improved to cater subjectivity in the data by using fuzzy set, known as the Consistent Linguistic Fuzzy Preference Relations (CLFPR). The CLFPR method uses the additive transitivity property in the evaluation of pairwise comparison matrices. However, the calculation involved is lengthy and cumbersome. To overcome this problem, a method of defuzzification was introduced by researchers. Nevertheless, the defuzzification process has a major setback where some information may lose due to the simplification process. In this paper, we propose a method of CLFPR that preserves the fuzzy numbers form throughout the process. In obtaining the desired ordering result, a method of ranking fuzzy numbers is utilized in the procedure. This improved procedure for CLFPR is implemented to a case study to verify its effectiveness. This method is useful for solving decision making problems and can be applied to many areas of applications.

  11. Fuzzy logic and neural networks

    SciTech Connect

    Loos, J.R.

    1994-11-01

    Combine fuzzy logic`s fuzzy sets, fuzzy operators, fuzzy inference, and fuzzy rules - like defuzzification - with neural networks and you can arrive at very unfuzzy real-time control. Fuzzy logic, cursed with a very whimsical title, simply means multivalued logic, which includes not only the conventional two-valued (true/false) crisp logic, but also the logic of three or more values. This means one can assign logic values of true, false, and somewhere in between. This is where fuzziness comes in. Multi-valued logic avoids the black-and-white, all-or-nothing assignment of true or false to an assertion. Instead, it permits the assignment of shades of gray. When assigning a value of true or false to an assertion, the numbers typically used are {open_quotes}1{close_quotes} or {open_quotes}0{close_quotes}. This is the case for programmed systems. If {open_quotes}0{close_quotes} means {open_quotes}false{close_quotes} and {open_quotes}1{close_quotes} means {open_quotes}true,{close_quotes} then {open_quotes}shades of gray{close_quotes} are any numbers between 0 and 1. Therefore, {open_quotes}nearly true{close_quotes} may be represented by 0.8 or 0.9, {open_quotes}nearly false{close_quotes} may be represented by 0.1 or 0.2, and {close_quotes}your guess is as good as mine{close_quotes} may be represented by 0.5. The flexibility available to one is limitless. One can associate any meaning, such as {open_quotes}nearly true{close_quotes}, to any value of any granularity, such as 0.9999. 2 figs.

  12. Fuzzy image processing in sun sensor

    NASA Technical Reports Server (NTRS)

    Mobasser, S.; Liebe, C. C.; Howard, A.

    2003-01-01

    This paper will describe how the fuzzy image processing is implemented in the instrument. Comparison of the Fuzzy image processing and a more conventional image processing algorithm is provided and shows that the Fuzzy image processing yields better accuracy then conventional image processing.

  13. Forecasting Enrollments with Fuzzy Time Series.

    ERIC Educational Resources Information Center

    Song, Qiang; Chissom, Brad S.

    The concept of fuzzy time series is introduced and used to forecast the enrollment of a university. Fuzzy time series, an aspect of fuzzy set theory, forecasts enrollment using a first-order time-invariant model. To evaluate the model, the conventional linear regression technique is applied and the predicted values obtained are compared to the…

  14. Vitamin D – a systematic literature review for the 5th edition of the Nordic Nutrition Recommendations

    PubMed Central

    Lamberg-Allardt, Christel; Brustad, Magritt; Meyer, Haakon E.; Steingrimsdottir, Laufey

    2013-01-01

    concerning bone health, total mortality and the risk of falling. Moreover, the effect was often only seen in persons with low basal 25(OH)D concentrations. In addition, most intervention studies leading to these conclusions report that intervention with vitamin D combined with calcium and not vitamin D alone gives these benefits. It was difficult to establish an optimal 25(OH)D concentration or vitamin D intake based on the SLRs, but there are evidence that a concentration of ≥50 nmol/l could be optimal. The dose–response studies relating vitamin D intake (fortification and supplementation) to S-25(OH)D suggested that an intake of 1–2.5 µg/day will increase the serum concentration by 1–2 nmol/l but this is dependent on the basal concentration with a response being greater when the basal concentration is low. Conclusion Data show that a S-25(OH)D concentration of 50 nmol/l would reflect a sufficient vitamin D status. Results from this review support that the recommendation in NNR 2004 needs to be re-evaluated and increased for all age groups beyond 2 years of age. We refer to the total intake from food as well as supplements, given minimal sun exposure. Limited sunshine, however, does not reflect the situation for the majority of the Nordic population in the summertime. It should also be emphasized that there are large differences in results depending on assay methods and laboratories measuring 25(OH)D, adding to the uncertainty of determining an appropriate target concentration. Moreover, the dose–response of vitamin D on serum 25(OH)D-concentrations is not well established and is dependent on the basal concentrations, sunshine exposure and dietary intake. We advise that these uncertainties should be taken into account when setting the final Nordic recommendations. PMID:24106457

  15. PREFACE: 5th International Workshop DICE2010: Space-Time-Matter - Current Issues in Quantum Mechanics and Beyond

    NASA Astrophysics Data System (ADS)

    Diósi, Lajos; Elze, Hans-Thomas; Fronzoni, Leone; Halliwell, Jonathan; Prati, Enrico; Vitiello, Giuseppe; Yearsley, James

    2011-07-01

    These proceedings present the Invited Lectures and Contributed Papers of the Fifth International Workshop on Decoherence, Information, Complexity and Entropy - DICE 2010, held at Castello Pasquini, Castiglioncello (Tuscany), 13-17 September 2010. These proceedings are intended to document the stimulating exchange of ideas at this conference for both the interested public and the wider scientific community, as well as for the participants. The number of participants attending this series of meetings has been growing steadily, which reflects its increasing attraction. Our intention to bring together leading researchers, advanced students, and renowned scholars from various areas in order to stimulate new ideas and their exchange across the borders of specialization seems to bear fruit. In this way, the series of meetings has continued successfully from the beginning with DICE 2002 [1], followed by DICE 2004 [2], DICE 2006 [3], and DICE 2008 [4], uniting more than 100 participants representing almost 30 countries worldwide. It has been a great honour and inspiration to have Professor Luc Montagnier (Nobel Prize for Medicine 2008) from the World Foundation for AIDS Research and Prevention with us, who presented the lecture DNA waves and water (included in this volume). The discussions took place under the wider theme Space-Time-Matter - current issues in quantum mechanics and beyond in the very pleasant and inspiring atmosphere of Castello Pasquini, which - with its beautiful surroundings, overlooking the Tuscany coast - hosted the conference very successfully for the second time. The five-day program was grouped according to the following topics: Gravity and Quantum Mechanics Quantum Coherent Processes in Biology / Many-Body Systems From Quantum Foundations to Particle Physics The Deep Structure of Spacetime Quantum - Relativity - Cosmology A Public Roundtable Discussion formed an integral part of the program under the theme Sull' Onda Della Coerenza" - le nuove

  16. STS-73 flight day 6

    NASA Astrophysics Data System (ADS)

    1995-10-01

    On this sixth day of the STS-73 sixteen day mission, the crew Cmdr. Kenneth Bowersox, Pilot Kent Rominger, Payload Specialists Albert Sacco and Fred Gregory, and Mission Specialists Kathryn Thornton, Catherine 'Cady' Collman, and Michael Lopez-Alegria are shown performing several of the spaceborne experiments onboard the United States Microgravity Lab-2 (USML-2). The experiments shown include the Protein Crystal Growth (PCG) experiment, the Astroculture(tm)(ASC) experiment, the Drop Physics Module (DPM) experiment, and the Surface Tension Driven Convection Experiment (STDCE). The High-Packed Digital Television (HI-PAC) system is further tested and an in-orbit interview with Lopez-Alegria by NBC Nightside is conducted. The entire flightcrew salutes the 5th game of the World Series between the Atlanta Braves and Cleveland Indians by pretending to throw out the first ball of the game through a downlink to the stadium. Earth views taken from the payload bay cameras include some cloud cover, oceans, land masses, and the Nile River and the Red Sea.

  17. Fuzzy peak hour for urban road traffic network

    NASA Astrophysics Data System (ADS)

    Tian, Zhao; Jia, Li-Min; Dong, Hong-Hui; Zhang, Zun-Dong; Ye, Yang-Dong

    2015-06-01

    Traffic congestion is now nearly ubiquitous in many urban areas and frequently occurs during rush hour periods. Rush hour avoidance is an effective way to ease traffic congestion. It is significant to calculate the rush hour for alleviating traffic congestion. This paper provides a method to calculate the fuzzy peak hour of the urban traffic network considering the flow, speed and occupancy. The process of calculation is based on betweenness centrality of network theory, optimal separation method, time period weighting, probability-possibility transformations and trapezoidal approximations of fuzzy numbers. The fuzzy peak hour of the urban road traffic network (URTN) is a trapezoidal fuzzy number [m1, m2, m3, m4]. It helps us (i) to confirm a more detailed traffic condition at each moment, (ii) to distinguish the five traffic states of the traffic network in one day, (iii) to analyze the characteristic of appearance and disappearance processes of the each traffic state and (iv) to find out the time pattern of residents travel in one city.

  18. Imprecise (fuzzy) information in geostatistics

    SciTech Connect

    Bardossy, A.; Bogardi, I.; Kelly, W.E.

    1988-05-01

    A methodology based on fuzzy set theory for the utilization of imprecise data in geostatistics is presented. A common problem preventing a broader use of geostatistics has been the insufficient amount of accurate measurement data. In certain cases, additional but uncertain (soft) information is available and can be encoded as subjective probabilities, and then the soft kriging method can be applied (Journal, 1986). In other cases, a fuzzy encoding of soft information may be more realistic and simplify the numerical calculations. Imprecise (fuzzy) spatial information on the possible variogram is integrated into a single variogram which is used in a fuzzy kriging procedure. The overall uncertainty of prediction is represented by the estimation variance and the calculated membership function for each kriged point. The methodology is applied to the permeability prediction of a soil liner for hazardous waste containment. The available number of hard measurement data (20) was not enough for a classical geostatistical analysis. An additional 20 soft data made it possible to prepare kriged contour maps using the fuzzy geostatistical procedure.

  19. Fuzzy Logic for Incidence Geometry

    PubMed Central

    2016-01-01

    The paper presents a mathematical framework for approximate geometric reasoning with extended objects in the context of Geography, in which all entities and their relationships are described by human language. These entities could be labelled by commonly used names of landmarks, water areas, and so forth. Unlike single points that are given in Cartesian coordinates, these geographic entities are extended in space and often loosely defined, but people easily perform spatial reasoning with extended geographic objects “as if they were points.” Unfortunately, up to date, geographic information systems (GIS) miss the capability of geometric reasoning with extended objects. The aim of the paper is to present a mathematical apparatus for approximate geometric reasoning with extended objects that is usable in GIS. In the paper we discuss the fuzzy logic (Aliev and Tserkovny, 2011) as a reasoning system for geometry of extended objects, as well as a basis for fuzzification of the axioms of incidence geometry. The same fuzzy logic was used for fuzzification of Euclid's first postulate. Fuzzy equivalence relation “extended lines sameness” is introduced. For its approximation we also utilize a fuzzy conditional inference, which is based on proposed fuzzy “degree of indiscernibility” and “discernibility measure” of extended points. PMID:27689133

  20. The 5th National Audit Project (NAP5) on accidental awareness during general anaesthesia: summary of main findings and risk factors.

    PubMed

    Pandit, J J; Andrade, J; Bogod, D G; Hitchman, J M; Jonker, W R; Lucas, N; Mackay, J H; Nimmo, A F; O'Connor, K; O'Sullivan, E P; Paul, R G; Palmer, J H MacG; Plaat, F; Radcliffe, J J; Sury, M R J; Torevell, H E; Wang, M; Hainsworth, J; Cook, T M

    2014-10-01

    We present the main findings of the 5th National Audit Project on accidental awareness during general anaesthesia. Incidences were estimated using reports of accidental awareness as the numerator, and a parallel national anaesthetic activity survey to provide denominator data. The incidence of certain/probable and possible accidental awareness cases was ~1:19 600 anaesthetics (95% CI 1:16 700-23 450). However, there was considerable variation across subtypes of techniques or subspecialties. The incidence with neuromuscular blockade was ~1:8200 (1:7030-9700), and without it was ~1:135 900 (1:78 600-299 000). The cases of accidental awareness during general anaesthesia reported to 5th National Audit Project were overwhelmingly cases of unintended awareness during neuromuscular blockade. The incidence of accidental awareness during caesarean section was ~1:670 (1:380-1300). Two thirds (82, 66%) of cases of accidental awareness experiences arose in the dynamic phases of anaesthesia, namely induction of and emergence from anaesthesia. During induction of anaesthesia, contributory factors included: use of thiopental; rapid sequence induction; obesity; difficult airway management; neuromuscular blockade; and interruptions of anaesthetic delivery during movement from anaesthetic room to theatre. During emergence from anaesthesia, residual paralysis was perceived by patients as accidental awareness, and commonly related to a failure to ensure full return of motor capacity. One third (43, 33%) of accidental awareness events arose during the maintenance phase of anaesthesia, most due to problems at induction or towards the end of anaesthesia. Factors increasing the risk of accidental awareness included: female sex; age (younger adults, but not children); obesity; anaesthetist seniority (junior trainees); previous awareness; out-of-hours operating; emergencies; type of surgery (obstetric, cardiac, thoracic); and use of neuromuscular blockade. The following factors were

  1. Parallel Fuzzy Segmentation of Multiple Objects.

    PubMed

    Garduño, Edgar; Herman, Gabor T

    2008-01-01

    The usefulness of fuzzy segmentation algorithms based on fuzzy connectedness principles has been established in numerous publications. New technologies are capable of producing larger-and-larger datasets and this causes the sequential implementations of fuzzy segmentation algorithms to be time-consuming. We have adapted a sequential fuzzy segmentation algorithm to multi-processor machines. We demonstrate the efficacy of such a distributed fuzzy segmentation algorithm by testing it with large datasets (of the order of 50 million points/voxels/items): a speed-up factor of approximately five over the sequential implementation seems to be the norm. PMID:19444333

  2. Parallel Fuzzy Segmentation of Multiple Objects*

    PubMed Central

    Garduño, Edgar; Herman, Gabor T.

    2009-01-01

    The usefulness of fuzzy segmentation algorithms based on fuzzy connectedness principles has been established in numerous publications. New technologies are capable of producing larger-and-larger datasets and this causes the sequential implementations of fuzzy segmentation algorithms to be time-consuming. We have adapted a sequential fuzzy segmentation algorithm to multi-processor machines. We demonstrate the efficacy of such a distributed fuzzy segmentation algorithm by testing it with large datasets (of the order of 50 million points/voxels/items): a speed-up factor of approximately five over the sequential implementation seems to be the norm. PMID:19444333

  3. Accurate segmentation of leukocyte in blood cell images using Atanassov's intuitionistic fuzzy and interval Type II fuzzy set theory.

    PubMed

    Chaira, Tamalika

    2014-06-01

    In this paper automatic leukocyte segmentation in pathological blood cell images is proposed using intuitionistic fuzzy and interval Type II fuzzy set theory. This is done to count different types of leukocytes for disease detection. Also, the segmentation should be accurate so that the shape of the leukocytes is preserved. So, intuitionistic fuzzy set and interval Type II fuzzy set that consider either more number of uncertainties or a different type of uncertainty as compared to fuzzy set theory are used in this work. As the images are considered fuzzy due to imprecise gray levels, advanced fuzzy set theories may be expected to give better result. A modified Cauchy distribution is used to find the membership function. In intuitionistic fuzzy method, non-membership values are obtained using Yager's intuitionistic fuzzy generator. Optimal threshold is obtained by minimizing intuitionistic fuzzy divergence. In interval type II fuzzy set, a new membership function is generated that takes into account the two levels in Type II fuzzy set using probabilistic T co norm. Optimal threshold is selected by minimizing a proposed Type II fuzzy divergence. Though fuzzy techniques were applied earlier but these methods failed to threshold multiple leukocytes in images. Experimental results show that both interval Type II fuzzy and intuitionistic fuzzy methods perform better than the existing non-fuzzy/fuzzy methods but interval Type II fuzzy thresholding method performs little bit better than intuitionistic fuzzy method. Segmented leukocytes in the proposed interval Type II fuzzy method are observed to be distinct and clear.

  4. Combining fuzzy mathematics with fuzzy logic to solve business management problems

    NASA Astrophysics Data System (ADS)

    Vrba, Joseph A.

    1993-12-01

    Fuzzy logic technology has been applied to control problems with great success. Because of this, many observers fell that fuzzy logic is applicable only in the control arena. However, business management problems almost never deal with crisp values. Fuzzy systems technology--a combination of fuzzy logic, fuzzy mathematics and a graphical user interface--is a natural fit for developing software to assist in typical business activities such as planning, modeling and estimating. This presentation discusses how fuzzy logic systems can be extended through the application of fuzzy mathematics and the use of a graphical user interface to make the information contained in fuzzy numbers accessible to business managers. As demonstrated through examples from actual deployed systems, this fuzzy systems technology has been employed successfully to provide solutions to the complex real-world problems found in the business environment.

  5. G-fuzzy ART: a geometrical fuzzy ART neural network architecture

    NASA Astrophysics Data System (ADS)

    Dagher, Issam J.

    2003-04-01

    In this paper, a geometrical Fuzzy ART (G-Fuzzy ART) neural network architecture is presented. While the original Fuzzy ART requires preprocessing of the input patterns (complement coding), the G-Fuzzy ART accept the input patterns without complement coding. The weights of the G-Fuzzy ART refer directly to the borders of the hyper-rectangle while the weights in the Fuzzy ART refer to the endpoints of the hyper-rectangle. The size of the hyper-rectangle is directly given by the size of the weight. The geometrical choice function (the Hamming distance of the input pattern to the hyper-rectangle) and the weight update formulas for the G-Fuzzy ART are presented. The G-Fuzzy ART retains the notion of resonance by retaining the vigilance criterion applied directly to the new size of the hyper-rectangle. It also retains the min-max fuzzy operators.

  6. Comparison of Values in 5th, 6th, 7th and 8th Grade Primary Education Music Class Students'? Workbooks According to Rokeach?s and Akbas's Value Classifications

    ERIC Educational Resources Information Center

    Çakirer, H. Serdar

    2014-01-01

    The aim of the present study is to compare the values in the songs of 5th, 6th, 7th and 8th grade primary education music classes students? workbooks according to the value categorizations proposed by Rockeach and Akbas and which values among the categories mentioned are taught to the students in the 5th, 6th, 7th and 8th grade primary education…

  7. Using Community-based Participatory Research to Adapt keepin’ it REAL: Creating a Socially, Developmentally, and Academically Appropriate Prevention Curriculum for 5th Graders

    PubMed Central

    Harthun, Mary L.; Dustman, Patricia A.; Reeves, Leslie J.; Marsiglia, Flavio F.; Hecht, Michael L.

    2010-01-01

    This paper reports on a process in which program designers, classroom teachers, and students worked together to adapt the 7th grade “keepin’ it REAL” prevention curriculum to a developmentally, socially, and academically appropriate curriculum for 5th graders. A Community-Based Participatory Research methodology (CBPR), combined with a 9-step adaptation model, emphasized a collaborative approach, both transformative and empowering. Essential adaptation elements were the Risk-to-Resiliency Continuum; the teaching of a wide range of skills including risk assessment, decision making, and resistance strategies; and, maintaining the theoretical grounding of Narrative Theory, Communication Competence, and Focus Theory of Norms. This paper describes how CBPR methodology can be conducted successfully while focusing on sustained theoretical grounding and effective research practices in a school-based setting. PMID:21057596

  8. 5th BSPR-EBI meeting, proteomics: from Technology to New Biology 8-10 July 2008, Wellcome Trust Conference Centre, Hinxton, Cambridge, UK.

    PubMed

    English, Jane A; Polden, Julie; Robinson, Aisling A

    2009-01-01

    This paper reports on the 5(th) joint British Society for Proteome Research (BSPR) and European Bioinformatics Institute (EBI) meeting which took place at the Wellcome Trust Conference Centre, Cambridge, UK, from the 8(th) to 10(th) July, 2008. As in previous years, the meeting attracted leading experts in the field who presented the latest cutting edge in proteomics. The meeting was entitled "Proteomics: From Technology to New Biology" taking into account the major transition proteomics has undergone in the past few years. In particular, the use of multiple reaction monitoring (MRM)-based targeted experiments for absolute quantification and validation of proteins was the hot topic of the meeting. Attended by some 250 delegates, the conference was extremely well organised and provided a great opportunity for discussion and initiation of new collaborations.

  9. [The Revision and 5th Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5): Consequences for the Diagnostic Work with Children and Adolescents].

    PubMed

    Zulauf Logoz, Marina

    2014-01-01

    The Revision and 5th Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5): Consequences for the Diagnostic Work with Children and Adolescents.The present paper describes and discusses the major revisions in DSM-5 for children and adolescents. A major modification is that the separate chapter for disorders first diagnosed in childhood and adolescence was abandoned in favour of the integration of these clinical pictures into the relevant disorder-specific chapters. Several new diagnoses and diagnostic groups were introduced: "Disruptive mood regulation disorder" is a new diagnosis; the different diagnoses for autism were brought together into one, and a new diagnostic group for obsessive-compulsive disorders has been established. The developmental approach of DSM-5 and the integration of dimensional assessment tools are to be welcomed. Practice will show if the critiques afraid of possible increases in prevalences or those who approve the changes will end up being right.

  10. Comparison of the Leiter International Performance Scale-Revised and the Stanford-Binet Intelligence Scales, 5th Edition, in children with autism spectrum disorders.

    PubMed

    Grondhuis, Sabrina Nicole; Mulick, James A

    2013-01-01

    A review of hospital records was conducted for children evaluated for autism spectrum disorders who completed both the Leiter International Performance Scale-Revised (Leiter-R) and Stanford-Binet Intelligence Scales, 5th Edition (SB5). Participants were between 3 and 12 years of age. Diagnoses were autistic disorder (n  =  26, 55%) and pervasive developmental disorder-not otherwise specified (n  =  21, 45%). Analysis showed that the full sample received significantly higher scores on the Leiter-R than SB5 (mean discrepancy of 20.91 points), specific diagnosis was not a significant factor, and younger children had a larger discrepancy between tests. These analyses strongly suggest that the Leiter-R and the SB5 may not be equivalent measures of intellectual functioning in children with autism spectrum disorders, and that use of one or the other exclusively could lead to misclassification of intellectual capacity.

  11. Fuzzy logic and its applications in medicine.

    PubMed

    Phuong, N H; Kreinovich, V

    2001-07-01

    Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating Western and Eastern medicine, and for real-time monitoring of patient data. This was verified by trials with the following systems that were developed by our group in Vietnam: a fuzzy Expert System for Syndromes Differentiation in Oriental Traditional Medicine, an Expert System for Lung Diseases using fuzzy logic, Case Based Reasoning for Medical Diagnosis using fuzzy set theory, a diagnostic system combining disease diagnosis of Western Medicine with syndrome differentiation of Oriental Traditional Medicine, a fuzzy system for classification of Western and Eastern medicaments and finally, a fuzzy system for diagnosis and treatment of integrated Western and Eastern Medicine. PMID:11470619

  12. Learning and Tuning of Fuzzy Rules

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1997-01-01

    In this chapter, we review some of the current techniques for learning and tuning fuzzy rules. For clarity, we refer to the process of generating rules from data as the learning problem and distinguish it from tuning an already existing set of fuzzy rules. For learning, we touch on unsupervised learning techniques such as fuzzy c-means, fuzzy decision tree systems, fuzzy genetic algorithms, and linear fuzzy rules generation methods. For tuning, we discuss Jang's ANFIS architecture, Berenji-Khedkar's GARIC architecture and its extensions in GARIC-Q. We show that the hybrid techniques capable of learning and tuning fuzzy rules, such as CART-ANFIS, RNN-FLCS, and GARIC-RB, are desirable in development of a number of future intelligent systems.

  13. Nuclear Electricity. 5th Edition.

    ERIC Educational Resources Information Center

    Hore-Lacy, Ian

    Educators must address the need for young people to be informed about both the scientific concepts and the reasons for controversy when dealing with controversial issues. Young people must be given the opportunity to form their own opinions when presented with evidence for conflicting arguments. Previous editions of "Nuclear Electricity" have…

  14. Fuzzy simulation in concurrent engineering

    NASA Technical Reports Server (NTRS)

    Kraslawski, A.; Nystrom, L.

    1992-01-01

    Concurrent engineering is becoming a very important practice in manufacturing. A problem in concurrent engineering is the uncertainty associated with the values of the input variables and operating conditions. The problem discussed in this paper concerns the simulation of processes where the raw materials and the operational parameters possess fuzzy characteristics. The processing of fuzzy input information is performed by the vertex method and the commercial simulation packages POLYMATH and GEMS. The examples are presented to illustrate the usefulness of the method in the simulation of chemical engineering processes.

  15. Invariability, orbits and fuzzy attractors

    NASA Astrophysics Data System (ADS)

    Perez-Gonzaga, S.; Lloret-Climent, M.; Nescolarde-Selva, J. A.

    2016-01-01

    In this paper, we present a generalization of a new systemic approach to abstract fuzzy systems. Using a fuzzy relations structure will retain the information provided by degrees of membership. In addition, to better suit the situation to be modelled, it is advisable to use T-norm or T-conorm distinct from the minimum and maximum, respectively. This gain in generality is due to the completeness of the work on a higher level of abstraction. You cannot always reproduce the results obtained previously, and also sometimes different definitions with different views are obtained. In any case this approach proves to be much more effective when modelling reality.

  16. The semantics of fuzzy logic

    NASA Technical Reports Server (NTRS)

    Ruspini, Enrique H.

    1991-01-01

    Summarized here are the results of recent research on the conceptual foundations of fuzzy logic. The focus is primarily on the principle characteristics of a model that quantifies resemblance between possible worlds by means of a similarity function that assigns a number between 0 and 1 to every pair of possible worlds. Introduction of such a function permits one to interpret the major constructs and methods of fuzzy logic: conditional and unconditional possibility and necessity distributions and the generalized modus ponens of Zadeh on the basis of related metric relationships between subsets of possible worlds.

  17. Universal fuzzy models and universal fuzzy controllers for discrete-time nonlinear systems.

    PubMed

    Gao, Qing; Feng, Gang; Dong, Daoyi; Liu, Lu

    2015-05-01

    This paper investigates the problems of universal fuzzy model and universal fuzzy controller for discrete-time nonaffine nonlinear systems (NNSs). It is shown that a kind of generalized T-S fuzzy model is the universal fuzzy model for discrete-time NNSs satisfying a sufficient condition. The results on universal fuzzy controllers are presented for two classes of discrete-time stabilizable NNSs. Constructive procedures are provided to construct the model reference fuzzy controllers. The simulation example of an inverted pendulum is presented to illustrate the effectiveness and advantages of the proposed method. These results significantly extend the approach for potential applications in solving complex engineering problems.

  18. A fuzzy control design case: The fuzzy PLL

    NASA Technical Reports Server (NTRS)

    Teodorescu, H. N.; Bogdan, I.

    1992-01-01

    The aim of this paper is to present a typical fuzzy control design case. The analyzed controlled systems are the phase-locked loops (PLL's)--classic systems realized in both analogic and digital technology. The crisp PLL devices are well known.

  19. Using LDR as Sensing Element for an External Fuzzy Controller Applied in Photovoltaic Pumping Systems with Variable-Speed Drives.

    PubMed

    Maranhão, Geraldo Neves De A; Brito, Alaan Ubaiara; Leal, Anderson Marques; Fonseca, Jéssica Kelly Silva; Macêdo, Wilson Negrão

    2015-01-01

    In the present paper, a fuzzy controller applied to a Variable-Speed Drive (VSD) for use in Photovoltaic Pumping Systems (PVPS) is proposed. The fuzzy logic system (FLS) used is embedded in a microcontroller and corresponds to a proportional-derivative controller. A Light-Dependent Resistor (LDR) is used to measure, approximately, the irradiance incident on the PV array. Experimental tests are executed using an Arduino board. The experimental results show that the fuzzy controller is capable of operating the system continuously throughout the day and controlling the direct current (DC) voltage level in the VSD with a good performance. PMID:26402688

  20. Using LDR as Sensing Element for an External Fuzzy Controller Applied in Photovoltaic Pumping Systems with Variable-Speed Drives.

    PubMed

    Maranhão, Geraldo Neves De A; Brito, Alaan Ubaiara; Leal, Anderson Marques; Fonseca, Jéssica Kelly Silva; Macêdo, Wilson Negrão

    2015-09-22

    In the present paper, a fuzzy controller applied to a Variable-Speed Drive (VSD) for use in Photovoltaic Pumping Systems (PVPS) is proposed. The fuzzy logic system (FLS) used is embedded in a microcontroller and corresponds to a proportional-derivative controller. A Light-Dependent Resistor (LDR) is used to measure, approximately, the irradiance incident on the PV array. Experimental tests are executed using an Arduino board. The experimental results show that the fuzzy controller is capable of operating the system continuously throughout the day and controlling the direct current (DC) voltage level in the VSD with a good performance.

  1. Using LDR as Sensing Element for an External Fuzzy Controller Applied in Photovoltaic Pumping Systems with Variable-Speed Drives

    PubMed Central

    Maranhão, Geraldo Neves De A.; Brito, Alaan Ubaiara; Leal, Anderson Marques; Fonseca, Jéssica Kelly Silva; Macêdo, Wilson Negrão

    2015-01-01

    In the present paper, a fuzzy controller applied to a Variable-Speed Drive (VSD) for use in Photovoltaic Pumping Systems (PVPS) is proposed. The fuzzy logic system (FLS) used is embedded in a microcontroller and corresponds to a proportional-derivative controller. A Light-Dependent Resistor (LDR) is used to measure, approximately, the irradiance incident on the PV array. Experimental tests are executed using an Arduino board. The experimental results show that the fuzzy controller is capable of operating the system continuously throughout the day and controlling the direct current (DC) voltage level in the VSD with a good performance. PMID:26402688

  2. Fuzzy associative conjuncted maps network.

    PubMed

    Goh, Hanlin; Lim, Joo-Hwee; Quek, Chai

    2009-08-01

    The fuzzy associative conjuncted maps (FASCOM) is a fuzzy neural network that associates data of nonlinearly related inputs and outputs. In the network, each input or output dimension is represented by a feature map that is partitioned into fuzzy or crisp sets. These fuzzy sets are then conjuncted to form antecedents and consequences, which are subsequently associated to form if-then rules. The associative memory is encoded through an offline batch mode learning process consisting of three consecutive phases. The initial unsupervised membership function initialization phase takes inspiration from the organization of sensory maps in our brains by allocating membership functions based on uniform information density. Next, supervised Hebbian learning encodes synaptic weights between input and output nodes. Finally, a supervised error reduction phase fine-tunes the network, which allows for the discovery of the varying levels of influence of each input dimension across an output feature space in the encoded memory. In the series of experiments, we show that each phase in the learning process contributes significantly to the final accuracy of prediction. Further experiments using both toy problems and real-world data demonstrate significant superiority in terms of accuracy of nonlinear estimation when benchmarked against other prominent architectures and exhibit the network's suitability to perform analysis and prediction on real-world applications, such as traffic density prediction as shown in this paper.

  3. Learning fuzzy logic control system

    NASA Technical Reports Server (NTRS)

    Lung, Leung Kam

    1994-01-01

    The performance of the Learning Fuzzy Logic Control System (LFLCS), developed in this thesis, has been evaluated. The Learning Fuzzy Logic Controller (LFLC) learns to control the motor by learning the set of teaching values that are generated by a classical PI controller. It is assumed that the classical PI controller is tuned to minimize the error of a position control system of the D.C. motor. The Learning Fuzzy Logic Controller developed in this thesis is a multi-input single-output network. Training of the Learning Fuzzy Logic Controller is implemented off-line. Upon completion of the training process (using Supervised Learning, and Unsupervised Learning), the LFLC replaces the classical PI controller. In this thesis, a closed loop position control system of a D.C. motor using the LFLC is implemented. The primary focus is on the learning capabilities of the Learning Fuzzy Logic Controller. The learning includes symbolic representation of the Input Linguistic Nodes set and Output Linguistic Notes set. In addition, we investigate the knowledge-based representation for the network. As part of the design process, we implement a digital computer simulation of the LFLCS. The computer simulation program is written in 'C' computer language, and it is implemented in DOS platform. The LFLCS, designed in this thesis, has been developed on a IBM compatible 486-DX2 66 computer. First, the performance of the Learning Fuzzy Logic Controller is evaluated by comparing the angular shaft position of the D.C. motor controlled by a conventional PI controller and that controlled by the LFLC. Second, the symbolic representation of the LFLC and the knowledge-based representation for the network are investigated by observing the parameters of the Fuzzy Logic membership functions and the links at each layer of the LFLC. While there are some limitations of application with this approach, the result of the simulation shows that the LFLC is able to control the angular shaft position of the

  4. Can fuzzy logic bring complex problems into focus? Modeling imprecise factors in environmental policy

    SciTech Connect

    McKone, Thomas E.; Deshpande, Ashok W.

    2004-06-14

    In modeling complex environmental problems, we often fail to make precise statements about inputs and outcome. In this case the fuzzy logic method native to the human mind provides a useful way to get at these problems. Fuzzy logic represents a significant change in both the approach to and outcome of environmental evaluations. Risk assessment is currently based on the implicit premise that probability theory provides the necessary and sufficient tools for dealing with uncertainty and variability. The key advantage of fuzzy methods is the way they reflect the human mind in its remarkable ability to store and process information which is consistently imprecise, uncertain, and resistant to classification. Our case study illustrates the ability of fuzzy logic to integrate statistical measurements with imprecise health goals. But we submit that fuzzy logic and probability theory are complementary and not competitive. In the world of soft computing, fuzzy logic has been widely used and has often been the ''smart'' behind smart machines. But it will require more effort and case studies to establish its niche in risk assessment or other types of impact assessment. Although we often hear complaints about ''bright lines,'' could we adapt to a system that relaxes these lines to fuzzy gradations? Would decision makers and the public accept expressions of water or air quality goals in linguistic terms with computed degrees of certainty? Resistance is likely. In many regions, such as the US and European Union, it is likely that both decision makers and members of the public are more comfortable with our current system in which government agencies avoid confronting uncertainties by setting guidelines that are crisp and often fail to communicate uncertainty. But some day perhaps a more comprehensive approach that includes exposure surveys, toxicological data, epidemiological studies coupled with fuzzy modeling will go a long way in resolving some of the conflict, divisiveness

  5. PREFACE: The Joint 16th Europhysics Conference on Atomic and Molecular Physics of Ionized Gases--5th International Conference on Reactive Plasmas

    NASA Astrophysics Data System (ADS)

    Sadeghi, N.

    2003-11-01

    The first joint meeting of the Europhysics Conference on Atomic and Molecular Physics of Ionized Gases (ESCAMPIG), the International Conference on Reactive Plasmas (ICRP) and the Symposium on Plasma Processing (SPP) was held in Grenoble, France between 14 and 18 July 2002. ESCAMPIG is an important biennial European event at which academics and industrialists working in low temperature plasma science meet. ICRP and SPP are Japanese triennial and annual meetings covering the entire field of reactive plasmas: generation, diagnostics and modelling of plasmas and their interaction with surfaces, and their applications. This ESCAMPIG 16th--ICRP 5th joint conference was organized under the sponsorship of the European Physical Society (EPS), the Japan Society of Applied Physics (JSAP), University Joseph Fourier (UJF) and Centre National de la Recherche Scientifique (CNRS). The scientific scope of this joint conference was focused on both experimental and theoretical aspects of physics of ionized gases and on its industrial applications. It covered the following topics: bullet atomic and molecular processes in plasmas bullet particle energy distribution functions bullet discharge physics: sheathes, transport processes and modelling bullet plasma diagnostics bullet laser and particle beam assisted plasma processes bullet physical basis of plasma chemistry and plasma--surface interactions bullet production and control of reactive plasmas bullet etching, deposition and cleaning bullet environmental and other applications. The ESCAMPIG 16th--ICRP 5th joint conference was attended by 379 scientists from 26 countries. 22 invited papers were presented. Most of these papers are published in this special issue. In addition, 16 contributed papers were selected by the joint International Scientific Committee (ISC) for oral presentation as a `hot topic'. Beside this, two workshops were held on `Recent developments in plasma monitoring for microelectronics', organized by Professor H

  6. Design of fuzzy system by NNs and realization of adaptability

    NASA Technical Reports Server (NTRS)

    Takagi, Hideyuki

    1993-01-01

    The issue of designing and tuning fuzzy membership functions by neural networks (NN's) was started by NN-driven Fuzzy Reasoning in 1988. NN-driven fuzzy reasoning involves a NN embedded in the fuzzy system which generates membership values. In conventional fuzzy system design, the membership functions are hand-crafted by trial and error for each input variable. In contrast, NN-driven fuzzy reasoning considers several variables simultaneously and can design a multidimensional, nonlinear membership function for the entire subspace.

  7. Offshore observations of aftershocks following the January 5th 2013 Mw 7.5 Queen Charlotte-Fairweather fault earthquake, southeast Alaska

    NASA Astrophysics Data System (ADS)

    Roland, E. C.; Gulick, S. P.; Levoir, M. A.; Haeussler, P. J.

    2013-12-01

    We present initial results from a rapid-response ocean bottom seismometer (OBS) deployment that recorded aftershock activity on the Queen Charlotte-Fairweather (QC-F) fault following the Mw 7.5 earthquake on January 5th 2013 near Craig, Alaska. This earthquake was the second of two Mw > 7 events on this fault system in a 3 month time period; the Craig earthquake followed a Mw 7.8 thrust event that occurred in October 2012, west of Haida Gwaii, British Columbia. Although the QC-F is a major plate boundary fault, little is known about the regional fault structure, interseismic coupling, and rheological controls on the depth distribution of seismic slip along the continent-ocean transform. The majority of the QC-F fault system extends offshore western British Columbia and southeast Alaska, making it difficult to characterize earthquakes and fault deformation with land-based seismic and geodetic instruments. This experiment is the first ever offshore seismometer deployment to record earthquake activity along this northern segment of the QC-F system, and was set in motion with help from the US Coast Guard, who provided a vessel and crew to deploy and recover the OBS array on short notice. The seismic array utilized 6 GeoPro short period OBS from the University of Texas Institute for Geophysics, which recorded approximately 3 weeks of aftershock activity in April-May of 2013. Combining high-quality local OBS recordings with land-based seismic observations from Alaska Earthquake Information Center (AEIC) stations to the east, we present more precise aftershock locations and depths that help to better characterize fault zone architecture along the northern section of the QC-F. Although moment tensor solutions indicate that the January 5th mainshock sustained slip consistent with Pacific-North America plate motions, aftershock focal mechanisms indicate some interaction with neighboring faults, such as the Chatham Straight fault. This new OBS dataset will also help to

  8. The 5th National Audit Project (NAP5) on accidental awareness during general anaesthesia: patient experiences, human factors, sedation, consent and medicolegal issues.

    PubMed

    Cook, T M; Andrade, J; Bogod, D G; Hitchman, J M; Jonker, W R; Lucas, N; Mackay, J H; Nimmo, A F; O'Connor, K; O'Sullivan, E P; Paul, R G; Palmer, J H MacG; Plaat, F; Radcliffe, J J; Sury, M R J; Torevell, H E; Wang, M; Hainsworth, J; Pandit, J J

    2014-10-01

    The 5th National Audit Project of the Royal College of Anaesthetists and the Association of Anaesthetists of Great Britain and Ireland into accidental awareness during general anaesthesia yielded data related to psychological aspects from the patient, and the anaesthetist, perspectives; patients' experiences ranged from isolated auditory or tactile sensations to complete awareness. A striking finding was that 75% of experiences were for < 5 min, yet 51% of patients (95% CI 43-60%) experienced distress and 41% (95% CI 33-50%) suffered longer-term adverse effect. Distress and longer-term harm occurred across the full range of experiences but were particularly likely when the patient experienced paralysis (with or without pain). The patient's interpretation of what is happening at the time of the awareness seemed central to later impact; explanation and reassurance during suspected accidental awareness during general anaesthesia or at the time of report seemed beneficial. Quality of care before the event was judged good in 26%, poor in 39% and mixed in 31%. Three quarters of cases of accidental awareness during general anaesthesia (75%) were judged preventable. In 12% of cases of accidental awareness during general anaesthesia, care was judged good and the episode not preventable. The contributory and human factors in the genesis of the majority of cases of accidental awareness during general anaesthesia included medication, patient and education/training. The findings have implications for national guidance, institutional organisation and individual practice. The incidence of 'accidental awareness' during sedation (~1:15 000) was similar to that during general anaesthesia (~1:19 000). The project raises significant issues about information giving and consent for both sedation and anaesthesia. We propose a novel approach to describing sedation from the patient's perspective which could be used in communication and consent. Eight (6%) of the patients had resorted

  9. Combinational reasoning of quantitative fuzzy topological relations for simple fuzzy regions.

    PubMed

    Liu, Bo; Li, Dajun; Xia, Yuanping; Ruan, Jian; Xu, Lili; Wu, Huanyi

    2015-01-01

    In recent years, formalization and reasoning of topological relations have become a hot topic as a means to generate knowledge about the relations between spatial objects at the conceptual and geometrical levels. These mechanisms have been widely used in spatial data query, spatial data mining, evaluation of equivalence and similarity in a spatial scene, as well as for consistency assessment of the topological relations of multi-resolution spatial databases. The concept of computational fuzzy topological space is applied to simple fuzzy regions to efficiently and more accurately solve fuzzy topological relations. Thus, extending the existing research and improving upon the previous work, this paper presents a new method to describe fuzzy topological relations between simple spatial regions in Geographic Information Sciences (GIS) and Artificial Intelligence (AI). Firstly, we propose a new definition for simple fuzzy line segments and simple fuzzy regions based on the computational fuzzy topology. And then, based on the new definitions, we also propose a new combinational reasoning method to compute the topological relations between simple fuzzy regions, moreover, this study has discovered that there are (1) 23 different topological relations between a simple crisp region and a simple fuzzy region; (2) 152 different topological relations between two simple fuzzy regions. In the end, we have discussed some examples to demonstrate the validity of the new method, through comparisons with existing fuzzy models, we showed that the proposed method can compute more than the existing models, as it is more expressive than the existing fuzzy models.

  10. (Fuzzy) Ideals of BN-Algebras

    PubMed Central

    Walendziak, Andrzej

    2015-01-01

    The notions of an ideal and a fuzzy ideal in BN-algebras are introduced. The properties and characterizations of them are investigated. The concepts of normal ideals and normal congruences of a BN-algebra are also studied, the properties of them are displayed, and a one-to-one correspondence between them is presented. Conditions for a fuzzy set to be a fuzzy ideal are given. The relationships between ideals and fuzzy ideals of a BN-algebra are established. The homomorphic properties of fuzzy ideals of a BN-algebra are provided. Finally, characterizations of Noetherian BN-algebras and Artinian BN-algebras via fuzzy ideals are obtained. PMID:26125050

  11. Optical generation of fuzzy-based rules.

    PubMed

    Gur, Eran; Mendlovic, David; Zalevsky, Zeev

    2002-08-10

    In the last third of the 20th century, fuzzy logic has risen from a mathematical concept to an applicable approach in soft computing. Today, fuzzy logic is used in control systems for various applications, such as washing machines, train-brake systems, automobile automatic gear, and so forth. The approach of optical implementation of fuzzy inferencing was given by the authors in previous papers, giving an extra emphasis to applications with two dominant inputs. In this paper the authors introduce a real-time optical rule generator for the dual-input fuzzy-inference engine. The paper briefly goes over the dual-input optical implementation of fuzzy-logic inferencing. Then, the concept of constructing a set of rules from given data is discussed. Next, the authors show ways to implement this procedure optically. The discussion is accompanied by an example that illustrates the transformation from raw data into fuzzy set rules.

  12. Image clustering using fuzzy graph theory

    NASA Astrophysics Data System (ADS)

    Jafarkhani, Hamid; Tarokh, Vahid

    1999-12-01

    We propose an image clustering algorithm which uses fuzzy graph theory. First, we define a fuzzy graph and the concept of connectivity for a fuzzy graph. Then, based on our definition of connectivity we propose an algorithm which finds connected subgraphs of the original fuzzy graph. Each connected subgraph can be considered as a cluster. As an application of our algorithm, we consider a database of images. We calculate a similarity measure between any paris of images in the database and generate the corresponding fuzzy graph. The, we find the subgraphs of the resulting fuzzy graph using our algorithm. Each subgraph corresponds to a cluster. We apply our image clustering algorithm to the key frames of news programs to find the anchorperson clusters. Simulation results show that our algorithm is successful to find most of anchorperson frames from the database.

  13. Proceedings from the 5th International Symposium on Light and Human Health: November 3-5, 2002, Orlando, Florida--EPRI Lighting Research Office

    SciTech Connect

    2004-05-01

    The 5th EPRI/LRO Lighting Research Symposium (November, 2002) was organized to present and examine current research information on the subject of Light and Human Health in response to a growing sense that light--both electric lighting and daylighting--impacts human beings well beyond what has been traditionally studied as vision and visual performance. This Final Report of the Symposium is a collection of 23 presented and seven poster papers grouped under the following headings: (1) Medical Applications of Light; (2) Circadian Effects of Light; (3) Hazards of Optical Radiation; and (4) Environmental Applications and Human Factors. Research from the medical, measurement, elderly, lighting, psychological, and vision fields is included, as well as an extensive commentary and summary. The direction of the research, taken as a whole, indicates that the definition of ''good lighting'' should be expanded to include ''healthy lighting,'' and that ongoing research will require better measurement and specification tools such as a new system of circadian photometry. Enhanced interaction between the medical research and lighting design communities will be required to bring the benefits of what is being discovered into common lighting practice.

  14. Consensus for Radiotherapy in Hepatocellular Carcinoma from The 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014): Current Practice and Future Clinical Trials.

    PubMed

    Park, Hee Chul; Yu, Jeong Il; Cheng, Jason Chia-Hsien; Zeng, Zhao Chong; Hong, Ji Hong; Wang, Michael Lian Chek; Kim, Mi Sook; Chi, Kwan Hwa; Liang, Po-Ching; Lee, Rheun-Chuan; Lau, Wan-Yee; Han, Kwang Hyub; Chow, Pierce Kah-Hoe; Seong, Jinsil

    2016-07-01

    A consensus meeting to develop practice guidelines and to recommend future clinical trials for radiation therapy (RT), including external beam RT (EBRT), and selective internal RT (SIRT) in hepatocellular carcinoma (HCC) was held at the 5th annual meeting of the Asia-Pacific Primary Liver Cancer Expert consortium. Although there is no randomized phase III trial evidence, the efficacy and safety of RT in HCC has been shown by prospective and retrospective studies using modern RT techniques. Based on these results, the committee came to a consensus on the utility and efficacy of RT in the management of HCC according to each disease stage as follows: in early and intermediate stage HCC, if standard treatment is not compatible, RT, including EBRT and SIRT can be considered. In locally advanced stage HCC, combined EBRT with transarterial chemoembolization or hepatic arterial infusion chemotherapy, and SIRT can be considered. In terminal stage HCC, EBRT can be considered for palliation of symptoms and reduction of morbidity caused by the primary tumor or its metastases. Despite the currently reported benefits of RT in HCC, the committee agreed that there is a compelling need for large prospective studies, including randomized phase III trial evidence evaluating the role of RT. Specifically studies evaluating the efficacy and safety of sequential combination of EBRT and SIRT are strongly recommended. PMID:27493892

  15. Consensus for Radiotherapy in Hepatocellular Carcinoma from The 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014): Current Practice and Future Clinical Trials

    PubMed Central

    Park, Hee Chul; Yu, Jeong Il; Cheng, Jason Chia-Hsien; Zeng, Zhao Chong; Hong, Ji Hong; Wang, Michael Lian Chek; Kim, Mi Sook; Chi, Kwan Hwa; Liang, Po-Ching; Lee, Rheun-Chuan; Lau, Wan-Yee; Han, Kwang Hyub; Chow, Pierce Kah-Hoe; Seong, Jinsil

    2016-01-01

    A consensus meeting to develop practice guidelines and to recommend future clinical trials for radiation therapy (RT), including external beam RT (EBRT), and selective internal RT (SIRT) in hepatocellular carcinoma (HCC) was held at the 5th annual meeting of the Asia-Pacific Primary Liver Cancer Expert consortium. Although there is no randomized phase III trial evidence, the efficacy and safety of RT in HCC has been shown by prospective and retrospective studies using modern RT techniques. Based on these results, the committee came to a consensus on the utility and efficacy of RT in the management of HCC according to each disease stage as follows: in early and intermediate stage HCC, if standard treatment is not compatible, RT, including EBRT and SIRT can be considered. In locally advanced stage HCC, combined EBRT with transarterial chemoembolization or hepatic arterial infusion chemotherapy, and SIRT can be considered. In terminal stage HCC, EBRT can be considered for palliation of symptoms and reduction of morbidity caused by the primary tumor or its metastases. Despite the currently reported benefits of RT in HCC, the committee agreed that there is a compelling need for large prospective studies, including randomized phase III trial evidence evaluating the role of RT. Specifically studies evaluating the efficacy and safety of sequential combination of EBRT and SIRT are strongly recommended. PMID:27493892

  16. Fuzzy representations need a careful design

    NASA Astrophysics Data System (ADS)

    Trillas, Enric; Guadarrama, Sergio

    2010-04-01

    This paper tries to show, from a theoretical perspective, the importance of designing well the representation of fuzzy systems whose behaviour is described by a linguistic description. The way in which this design of the representation is done by means of fuzzy sets, connectives and relations marks a distinction between the fuzzy and the formal logic methodologies, two different disciplines whose design process and agendas are not coincidental.

  17. A fuzzy classifier system for process control

    NASA Technical Reports Server (NTRS)

    Karr, C. L.; Phillips, J. C.

    1994-01-01

    A fuzzy classifier system that discovers rules for controlling a mathematical model of a pH titration system was developed by researchers at the U.S. Bureau of Mines (USBM). Fuzzy classifier systems successfully combine the strengths of learning classifier systems and fuzzy logic controllers. Learning classifier systems resemble familiar production rule-based systems, but they represent their IF-THEN rules by strings of characters rather than in the traditional linguistic terms. Fuzzy logic is a tool that allows for the incorporation of abstract concepts into rule based-systems, thereby allowing the rules to resemble the familiar 'rules-of-thumb' commonly used by humans when solving difficult process control and reasoning problems. Like learning classifier systems, fuzzy classifier systems employ a genetic algorithm to explore and sample new rules for manipulating the problem environment. Like fuzzy logic controllers, fuzzy classifier systems encapsulate knowledge in the form of production rules. The results presented in this paper demonstrate the ability of fuzzy classifier systems to generate a fuzzy logic-based process control system.

  18. Fuzzy logic control and optimization system

    DOEpatents

    Lou, Xinsheng

    2012-04-17

    A control system (300) for optimizing a power plant includes a chemical loop having an input for receiving an input signal (369) and an output for outputting an output signal (367), and a hierarchical fuzzy control system (400) operably connected to the chemical loop. The hierarchical fuzzy control system (400) includes a plurality of fuzzy controllers (330). The hierarchical fuzzy control system (400) receives the output signal (367), optimizes the input signal (369) based on the received output signal (367), and outputs an optimized input signal (369) to the input of the chemical loop to control a process of the chemical loop in an optimized manner.

  19. Refining fuzzy logic controllers with machine learning

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1994-01-01

    In this paper, we describe the GARIC (Generalized Approximate Reasoning-Based Intelligent Control) architecture, which learns from its past performance and modifies the labels in the fuzzy rules to improve performance. It uses fuzzy reinforcement learning which is a hybrid method of fuzzy logic and reinforcement learning. This technology can simplify and automate the application of fuzzy logic control to a variety of systems. GARIC has been applied in simulation studies of the Space Shuttle rendezvous and docking experiments. It has the potential of being applied in other aerospace systems as well as in consumer products such as appliances, cameras, and cars.

  20. Fuzzy logic control for camera tracking system

    NASA Technical Reports Server (NTRS)

    Lea, Robert N.; Fritz, R. H.; Giarratano, J.; Jani, Yashvant

    1992-01-01

    A concept utilizing fuzzy theory has been developed for a camera tracking system to provide support for proximity operations and traffic management around the Space Station Freedom. Fuzzy sets and fuzzy logic based reasoning are used in a control system which utilizes images from a camera and generates required pan and tilt commands to track and maintain a moving target in the camera's field of view. This control system can be implemented on a fuzzy chip to provide an intelligent sensor for autonomous operations. Capabilities of the control system can be expanded to include approach, handover to other sensors, caution and warning messages.

  1. Fuzzy set classifier for waste classification tracking

    SciTech Connect

    Gavel, D.T.

    1992-11-04

    We have developed an expert system based on fuzzy logic theory to fuse the data from multiple sensors and make classification decisions for objects in a waste reprocessing stream. Fuzzy set theory has been applied in decision and control applications with some success, particularly by the Japanese. We have found that the fuzzy logic system is rather easy to design and train, a feature that can cut development costs considerably. With proper training, the classification accuracy is quite high. We performed several tests sorting radioactive test samples using a gamma spectrometer to compare fuzzy logic to more conventional sorting schemes.

  2. Fuzzy control of small servo motors

    NASA Technical Reports Server (NTRS)

    Maor, Ron; Jani, Yashvant

    1993-01-01

    To explore the benefits of fuzzy logic and understand the differences between the classical control methods and fuzzy control methods, the Togai InfraLogic applications engineering staff developed and implemented a motor control system for small servo motors. The motor assembly for testing the fuzzy and conventional controllers consist of servo motor RA13M and an encoder with a range of 4096 counts. An interface card was designed and fabricated to interface the motor assembly and encoder to an IBM PC. The fuzzy logic based motor controller was developed using the TILShell and Fuzzy C Development System on an IBM PC. A Proportional-Derivative (PD) type conventional controller was also developed and implemented in the IBM PC to compare the performance with the fuzzy controller. Test cases were defined to include step inputs of 90 and 180 degrees rotation, sine and square wave profiles in 5 to 20 hertz frequency range, as well as ramp inputs. In this paper we describe our approach to develop a fuzzy as well as PH controller, provide details of hardware set-up and test cases, and discuss the performance results. In comparison, the fuzzy logic based controller handles the non-linearities of the motor assembly very well and provides excellent control over a broad range of parameters. Fuzzy technology, as indicated by our results, possesses inherent adaptive features.

  3. A proposal of fuzzy connective with learning function and its application to fuzzy retrieval system

    NASA Technical Reports Server (NTRS)

    Hayashi, Isao; Naito, Eiichi; Ozawa, Jun; Wakami, Noboru

    1993-01-01

    A new fuzzy connective and a structure of network constructed by fuzzy connectives are proposed to overcome a drawback of conventional fuzzy retrieval systems. This network represents a retrieval query and the fuzzy connectives in networks have a learning function to adjust its parameters by data from a database and outputs of a user. The fuzzy retrieval systems employing this network are also constructed. Users can retrieve results even with a query whose attributes do not exist in a database schema and can get satisfactory results for variety of thinkings by learning function.

  4. Fuzzy fractals, chaos, and noise

    SciTech Connect

    Zardecki, A.

    1997-05-01

    To distinguish between chaotic and noisy processes, the authors analyze one- and two-dimensional chaotic mappings, supplemented by the additive noise terms. The predictive power of a fuzzy rule-based system allows one to distinguish ergodic and chaotic time series: in an ergodic series the likelihood of finding large numbers is small compared to the likelihood of finding them in a chaotic series. In the case of two dimensions, they consider the fractal fuzzy sets whose {alpha}-cuts are fractals, arising in the context of a quadratic mapping in the extended complex plane. In an example provided by the Julia set, the concept of Hausdorff dimension enables one to decide in favor of chaotic or noisy evolution.

  5. Collaborating Fuzzy Reinforcement Learning Agents

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1997-01-01

    Earlier, we introduced GARIC-Q, a new method for doing incremental Dynamic Programming using a society of intelligent agents which are controlled at the top level by Fuzzy Relearning and at the local level, each agent learns and operates based on ANTARCTIC, a technique for fuzzy reinforcement learning. In this paper, we show that it is possible for these agents to compete in order to affect the selected control policy but at the same time, they can collaborate while investigating the state space. In this model, the evaluator or the critic learns by observing all the agents behaviors but the control policy changes only based on the behavior of the winning agent also known as the super agent.

  6. Fuzzy logic based robotic controller

    NASA Technical Reports Server (NTRS)

    Attia, F.; Upadhyaya, M.

    1994-01-01

    Existing Proportional-Integral-Derivative (PID) robotic controllers rely on an inverse kinematic model to convert user-specified cartesian trajectory coordinates to joint variables. These joints experience friction, stiction, and gear backlash effects. Due to lack of proper linearization of these effects, modern control theory based on state space methods cannot provide adequate control for robotic systems. In the presence of loads, the dynamic behavior of robotic systems is complex and nonlinear, especially where mathematical modeling is evaluated for real-time operators. Fuzzy Logic Control is a fast emerging alternative to conventional control systems in situations where it may not be feasible to formulate an analytical model of the complex system. Fuzzy logic techniques track a user-defined trajectory without having the host computer to explicitly solve the nonlinear inverse kinematic equations. The goal is to provide a rule-based approach, which is closer to human reasoning. The approach used expresses end-point error, location of manipulator joints, and proximity to obstacles as fuzzy variables. The resulting decisions are based upon linguistic and non-numerical information. This paper presents a solution to the conventional robot controller which is independent of computationally intensive kinematic equations. Computer simulation results of this approach as obtained from software implementation are also discussed.

  7. Community detection by fuzzy clustering

    NASA Astrophysics Data System (ADS)

    Sun, Peng Gang

    2015-02-01

    How to measure the similarity between nodes is of great importance for fuzzy clustering when we use the approach to uncover communities in complex networks. In this paper, we first measure the similarity between nodes in a network based on edge centralities and model the network as a fuzzy relation. Then, two fuzzy transitive rules (Rule I and Rule II) are applied on the relation respectively, by which the similarity information can be transferred from one node to another in the network until the relation reaches a stable state. By choosing different thresholds, our method finally can partition the network into several non-overlapping subgroups. We compare our method with some state of the art methods on the LFR benchmark and real-world networks. We find that our method based on Rule I can correctly identify communities when the similarity between nodes of same groups is greater than that of different groups, while it is just opposite to Rule II. Our method achieves better results than the state of the art methods when the pre-planted communities of the random networks are vaguer.

  8. Probabilistic and fuzzy logic in clinical diagnosis.

    PubMed

    Licata, G

    2007-06-01

    In this study I have compared classic and fuzzy logic and their usefulness in clinical diagnosis. The theory of probability is often considered a device to protect the classical two-valued logic from the evidence of its inadequacy to understand and show the complexity of world [1]. This can be true, but it is not possible to discard the theory of probability. I will argue that the problems and the application fields of the theory of probability are very different from those of fuzzy logic. After the introduction on the theoretical bases of fuzzy approach to logic, I have reported some diagnostic argumentations employing fuzzy logic. The state of normality and the state of disease often fight their battle on scalar quantities of biological values and it is not hard to establish a correspondence between the biological values and the percent values of fuzzy logic. Accordingly, I have suggested some applications of fuzzy logic in clinical diagnosis and in particular I have utilised a fuzzy curve to recognise subjects with diabetes mellitus, renal failure and liver disease. The comparison between classic and fuzzy logic findings seems to indicate that fuzzy logic is more adequate to study the development of biological events. In fact, fuzzy logic is useful when we have a lot of pieces of information and when we dispose to scalar quantities. In conclusion, increasingly the development of technology offers new instruments to measure pathological parameters through scalar quantities, thus it is reasonable to think that in the future fuzzy logic will be employed more in clinical diagnosis.

  9. A Combination of Extended Fuzzy AHP and Fuzzy GRA for Government E-Tendering in Hybrid Fuzzy Environment

    PubMed Central

    Wang, Yan; Xi, Chengyu; Zhang, Shuai; Yu, Dejian; Zhang, Wenyu; Li, Yong

    2014-01-01

    The recent government tendering process being conducted in an electronic way is becoming an inevitable affair for numerous governmental agencies to further exploit the superiorities of conventional tendering. Thus, developing an effective web-based bid evaluation methodology so as to realize an efficient and effective government E-tendering (GeT) system is imperative. This paper firstly investigates the potentiality of employing fuzzy analytic hierarchy process (AHP) along with fuzzy gray relational analysis (GRA) for optimal selection of candidate tenderers in GeT process with consideration of a hybrid fuzzy environment with incomplete weight information. We proposed a novel hybrid fuzzy AHP-GRA (HFAHP-GRA) method that combines an extended fuzzy AHP with a modified fuzzy GRA. The extended fuzzy AHP which combines typical AHP with interval AHP is proposed to obtain the exact weight information, and the modified fuzzy GRA is applied to aggregate different types of evaluation information so as to identify the optimal candidate tenderers. Finally, a prototype system is built and validated with an illustrative example for GeT to confirm the feasibility of our approach. PMID:25057506

  10. Effect of Clinician Feedback Versus Video Self-Assessment in 5th-Year Chiropractic Students on an End-of-Year Communication Skills Examination

    PubMed Central

    Hecimovich, Mark D.; Maire, Jo-Anne; Losco, Barrett

    2010-01-01

    Purpose: To compare the effect of two learning opportunities, clinician feedback and video self-assessment, on 5th-year chiropractic students' patient communication skills, specifically those required for history taking. Methods: A cohort of 51 final-year students was divided into two groups. The first group received immediate feedback from a clinical supervisor following a history-taking encounter with a patient. The second group performed self-assessments of their videotaped history-taking encounter. An end-of-year Viva Voce examination was used to measure the effectiveness of the students' history-taking skills, using two subscores, one for behavior and another for content, as well as an overall total score. An unpaired t-test was performed to determine whether any significant difference occurred between the two groups of students. Each group was then subdivided into two subgroups based on gender, and a two-way analysis of variance was performed to determine whether the type of feedback or the students' gender had any significant effect on the outcome of the Viva Voce. Results: There were no significant differences between the two groups of students in terms of their final scores in the Viva Voce. After dividing each group into their gender subgroups and further analysis of the results, neither the mode of feedback nor the students' gender had any significant effect on the outcome of the Viva Voce. Conclusion: This study suggests that, for a mixed cohort, video self-assessment and clinician feedback are equivalent in their ability to enhance students' communication skills relating to history taking. PMID:21048879

  11. Surgery for Intermediate and Advanced Hepatocellular Carcinoma: A Consensus Report from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting (APPLE 2014)

    PubMed Central

    Ho, Ming-Chih; Hasegawa, Kiyoshi; Chen, Xiao-Ping; Nagano, Hiroaki; Lee, Young-Joo; Chau, Gar-Yang; Zhou, Jian; Wang, Chih-Chi; Choi, Young Rok; Poon, Ronnie Tung-Ping; Kokudo, Norihiro

    2016-01-01

    Background The Barcelona Clinic Liver Cancer (BCLC) staging and treatment strategy does not recommended surgery for treating BCLC stage B and C hepatocellular carcinoma (HCC). However, numerous Asia-Pacific institutes still perform surgery for this patient group. This consensus report from the 5th Asia-Pacific Primary Liver Cancer Expert Meeting aimed to share opinions and experiences pertaining to liver resection for intermediate and advanced HCCs and to provide evidence to issue recommendations for surgery in this patient group. Summary Thirteen experts from five Asia-Pacific regions were invited to the meeting; 10 of them (Japan: 2, Taiwan: 3, South Korea: 2, Hong Kong: 1, and China: 2) voted for the final consensus. The discussion focused on evaluating the preoperative liver functional reserve and surgery for large tumors, multiple tumors, HCCs with vascular invasion, and HCCs with distant metastasis. The feasibility of future prospective randomized trials comparing surgery with transarterial chemoembolization for intermediate HCC and with sorafenib for advanced HCC was also discussed. The Child-Pugh score (9/10 experts) and indocyanine green retention rate at 15 min (8/10) were the most widely accepted methods for evaluating the preoperative liver functional reserve. All (10/10) experts agreed that portal hypertension, tumor size >5 cm, portal venous invasion, hepatic venous invasion, and extrahepatic metastasis are not absolute contraindications for the surgical resection of HCC. Furthermore, 9 of the 10 experts agreed that tumor resection may be performed for patients with >3 tumors. The limitations of surgery are associated with a poor liver functional reserve, incomplete tumor resection, and a high probability of recurrence. Key Messages Surgery provides significant survival benefits for Asian-Pacific patients with intermediate and advanced HCCs, particularly when the liver functional reserve is favorable. However, prospective randomized controlled trials

  12. Fuzzy electron density fragments in macromolecular quantum chemistry, combinatorial quantum chemistry, functional group analysis, and shape-activity relations.

    PubMed

    Mezey, Paul G

    2014-09-16

    Conspectus Just as complete molecules have no boundaries and have "fuzzy" electron density clouds approaching zero density exponentially at large distances from the nearest nucleus, a physically justified choice for electron density fragments exhibits similar behavior. Whereas fuzzy electron densities, just as any fuzzy object, such as a thicker cloud on a foggy day, do not lend themselves to easy visualization, one may partially overcome this by using isocontours. Whereas a faithful representation of the complete fuzzy density would need infinitely many such isocontours, nevertheless, by choosing a selected few, one can still obtain a limited pictorial representation. Clearly, such images are of limited value, and one better relies on more complete mathematical representations, using, for example, density matrices of fuzzy fragment densities. A fuzzy density fragmentation can be obtained in an exactly additive way, using the output from any of the common quantum chemical computational techniques, such as Hartree-Fock, MP2, and various density functional approaches. Such "fuzzy" electron density fragments properly represented have proven to be useful in a rather wide range of applications, for example, (a) using them as additive building blocks leading to efficient linear scaling macromolecular quantum chemistry computational techniques, (b) the study of quantum chemical functional groups, (c) using approximate fuzzy fragment information as allowed by the holographic electron density theorem, (d) the study of correlations between local shape and activity, including through-bond and through-space components of interactions between parts of molecules and relations between local molecular shape and substituent effects, (e) using them as tools of density matrix extrapolation in conformational changes, (f) physically valid averaging and statistical distribution of several local electron densities of common stoichiometry, useful in electron density databank mining, for

  13. Homeopathic drug selection using Intuitionistic fuzzy sets.

    PubMed

    Kharal, Athar

    2009-01-01

    Using intuitionistic fuzzy set theory, Sanchez's approach to medical diagnosis has been applied to the problem of selection of single remedy from homeopathic repertorization. Two types of Intuitionistic Fuzzy Relations (IFRs) and three types of selection indices are discussed. I also propose a new repertory exploiting the benefits of soft-intelligence.

  14. Modeling Research Project Risks with Fuzzy Maps

    ERIC Educational Resources Information Center

    Bodea, Constanta Nicoleta; Dascalu, Mariana Iuliana

    2009-01-01

    The authors propose a risks evaluation model for research projects. The model is based on fuzzy inference. The knowledge base for fuzzy process is built with a causal and cognitive map of risks. The map was especially developed for research projects, taken into account their typical lifecycle. The model was applied to an e-testing research…

  15. Scalar field theory on fuzzy S 4

    NASA Astrophysics Data System (ADS)

    Medina, Julieta; O'Connor, Denjoe

    2003-11-01

    Scalar fields are studied on fuzzy S 4 and a solution is found for the elimination of the unwanted degrees of freedom that occur in the model. The resulting theory can be interpreted as a Kaluza-Klein reduction of Bbb CP3 to S 4 in the fuzzy context.

  16. A Fuzzy Model of Document Retrieval Systems

    ERIC Educational Resources Information Center

    Tahani, Valiollah

    1976-01-01

    This paper is concerned with the organization and retrieval of records in document retrieval systems which admit of imprecision in the form of fuzziness in document characterization and retrieval rules. A mathematical model for such systems, based on the theory of fuzzy sets, is introduced. (Author)

  17. Inducing Fuzzy Models for Student Classification

    ERIC Educational Resources Information Center

    Nykanen, Ossi

    2006-01-01

    We report an approach for implementing predictive fuzzy systems that manage capturing both the imprecision of the empirically induced classifications and the imprecision of the intuitive linguistic expressions via the extensive use of fuzzy sets. From end-users' point of view, the approach enables encapsulating the technical details of the…

  18. Fuzzy logic mode switching in helicopters

    NASA Technical Reports Server (NTRS)

    Sherman, Porter D.; Warburton, Frank W.

    1993-01-01

    The application of fuzzy logic to a wide range of control problems has been gaining momentum internationally, fueled by a concentrated Japanese effort. Advanced Research & Development within the Engineering Department at Sikorsky Aircraft undertook a fuzzy logic research effort designed to evaluate how effective fuzzy logic control might be in relation to helicopter operations. The mode switching module in the advanced flight control portion of Sikorsky's motion based simulator was identified as a good candidate problem because it was simple to understand and contained imprecise (fuzzy) decision criteria. The purpose of the switching module is to aid a helicopter pilot in entering and leaving coordinated turns while in flight. The criteria that determine the transitions between modes are imprecise and depend on the varied ranges of three flight conditions (i.e., simulated parameters): Commanded Rate, Duration, and Roll Attitude. The parameters were given fuzzy ranges and used as input variables to a fuzzy rulebase containing the knowledge of mode switching. The fuzzy control program was integrated into a real time interactive helicopter simulation tool. Optimization of the heading hold and turn coordination was accomplished by interactive pilot simulation testing of the handling quality performance of the helicopter dynamic model. The fuzzy logic code satisfied all the requirements of this candidate control problem.

  19. Fuzzy torus via q-Parafermion

    NASA Astrophysics Data System (ADS)

    Aizawa, N.; Chakrabarti, R.

    2007-08-01

    We note that the recently introduced fuzzy torus can be regarded as a q-deformed parafermion. Based on this picture, classification of the Hermitian representations of the fuzzy torus is carried out. The result involves Fock-type representations and new finite-dimensional representations for q being a root of unity as well as already known finite-dimensional ones.

  20. Approximation abilities of neuro-fuzzy networks

    NASA Astrophysics Data System (ADS)

    Mrówczyńska, Maria

    2010-01-01

    The paper presents the operation of two neuro-fuzzy systems of an adaptive type, intended for solving problems of the approximation of multi-variable functions in the domain of real numbers. Neuro-fuzzy systems being a combination of the methodology of artificial neural networks and fuzzy sets operate on the basis of a set of fuzzy rules "if-then", generated by means of the self-organization of data grouping and the estimation of relations between fuzzy experiment results. The article includes a description of neuro-fuzzy systems by Takaga-Sugeno-Kang (TSK) and Wang-Mendel (WM), and in order to complement the problem in question, a hierarchical structural self-organizing method of teaching a fuzzy network. A multi-layer structure of the systems is a structure analogous to the structure of "classic" neural networks. In its final part the article presents selected areas of application of neuro-fuzzy systems in the field of geodesy and surveying engineering. Numerical examples showing how the systems work concerned: the approximation of functions of several variables to be used as algorithms in the Geographic Information Systems (the approximation of a terrain model), the transformation of coordinates, and the prediction of a time series. The accuracy characteristics of the results obtained have been taken into consideration.

  1. The Fuzzy Model for Diagnosis of Animal Disease

    NASA Astrophysics Data System (ADS)

    Jianhua, Xiao; Luyi, Shi; Yu, Zhang; Li, Gao; Honggang, Fan; Haikun, Ma; Hongbin, Wang

    The knowledge of animal disease diagnosis was fuzzy; the fuzzy model can imitate the character of clinical diagnosis for veterinary. The fuzzy model of disease, the methods for class the disease group of differential diagnosis and the fuzzy diagnosis model were discussed in this paper.

  2. Transportation optimization with fuzzy trapezoidal numbers based on possibility theory.

    PubMed

    He, Dayi; Li, Ran; Huang, Qi; Lei, Ping

    2014-01-01

    In this paper, a parametric method is introduced to solve fuzzy transportation problem. Considering that parameters of transportation problem have uncertainties, this paper develops a generalized fuzzy transportation problem with fuzzy supply, demand and cost. For simplicity, these parameters are assumed to be fuzzy trapezoidal numbers. Based on possibility theory and consistent with decision-makers' subjectiveness and practical requirements, the fuzzy transportation problem is transformed to a crisp linear transportation problem by defuzzifying fuzzy constraints and objectives with application of fractile and modality approach. Finally, a numerical example is provided to exemplify the application of fuzzy transportation programming and to verify the validity of the proposed methods.

  3. Use of fuzzy logic in lignite inventory estimation

    SciTech Connect

    Tutmez, B.; Dag, A.

    2007-07-01

    Seam thickness is one of the most important parameters for reserve estimation of a lignite deposit. This paper addresses a case study on fuzzy estimation of lignite seam thickness from spatial coordinates. From the relationships between input (Cartesian coordinates) and output (thickness) parameters, fuzzy clustering and a fuzzy rule-based inference system were designed. Data-driven fuzzy model parameters were derived from numerical values directly. In addition, estimations of the fuzzy model were compared with kriging estimations. It was concluded that the performance ofthe fuzzy model was more satisfactory. The results indicated that the fuzzy modeling approach is very reliable for the estimation of lignite reserves.

  4. On m-polar fuzzy graph structures.

    PubMed

    Akram, Muhammad; Akmal, Rabia; Alshehri, Noura

    2016-01-01

    Sometimes information in a network model is based on multi-agent, multi-attribute, multi-object, multi-polar information or uncertainty rather than a single bit. An m-polar fuzzy model is useful for such network models which gives more and more precision, flexibility, and comparability to the system as compared to the classical, fuzzy and bipolar fuzzy models. In this research article, we introduce the notion of m-polar fuzzy graph structure and present various operations, including Cartesian product, strong product, cross product, lexicographic product, composition, union and join of m-polar fuzzy graph structures. We illustrate these operations by several examples. We also investigate some of their related properties. PMID:27652024

  5. How Do 4th, 5th, and 6th Grade Students' Categories of Cognitive Reflections in Interviews on Derivational Morphology Compare to Their Upper Level Spelling Inventory Orthographic Knowledge?

    ERIC Educational Resources Information Center

    Smith, Darcie D.

    2012-01-01

    Eighty-seven 4th, 5th and 6th grade students were administered the "Derivational Relatedness Interview" (DRI) (Templeton, Smith, Moloney, Van Pelt, & Ives, 2009). The purpose of this instrument is to explore students' understanding of derivational morphology. During the same week, the subjects were also administered an Upper…

  6. Mountain Dew[R] or Mountain Don't?: A Pilot Investigation of Caffeine Use Parameters and Relations to Depression and Anxiety Symptoms in 5th- and 10th-Grade Students

    ERIC Educational Resources Information Center

    Luebbe, Aaron M.; Bell, Debora J.

    2009-01-01

    Background: Caffeine, the only licit psychoactive drug available to minors, may have a harmful impact on students' health and adjustment, yet little is known about its use or effects on students, especially from a developmental perspective. Caffeine use in 5th- and 10th-grade students was examined in a cross-sectional design, and relations and…

  7. A Study on Reading Comprehension Skills of Primary School 5th Grade Students--Learning Basic Reading and Writing Skills through Phonics-Based Sentence Method or Decoding Method

    ERIC Educational Resources Information Center

    Kusdemir Kayiran, Bilge; Karabay, Aysegul

    2012-01-01

    This research aims at investigating the influence of two methods implemented in primary reading and writing teaching programs--phonics-based sentence method and decoding (analysis) method--on primary school 5th grade students' reading comprehension achievement. Also, the study considers the relationship between socio-economic status and reading…

  8. A Response to Lawrence Ferrara's Chapter Four in R. Phelps, R. Sadoff, E. Warburton, and L. Ferrara, "A Guide to Research in Music Education," 5th Edition (Lanham, Maryland, Scarecrow Press, Inc., 2005)

    ERIC Educational Resources Information Center

    Heller, Jack

    2006-01-01

    A reply to Lawrence Ferrara's Chapter 4 in R. Phelps, R. Sadoff, E. Warburton, and L. Ferrara, "A Guide to Research in Music Education," 5th Edition is presented. It it curious that Ferrara disagrees with Jack Heller and Edward J. P. O'Connor's view that "philosophy" is not "research," yet in the chapter headings in the book A Guide to Research in…

  9. Energy partitioning for ``fuzzy'' atoms

    NASA Astrophysics Data System (ADS)

    Salvador, P.; Mayer, I.

    2004-03-01

    The total energy of a molecule is presented as a sum of one- and two-atomic energy components in terms of "fuzzy" atoms, i.e., such divisions of the three-dimensional physical space into atomic regions in which the regions assigned to the individual atoms have no sharp boundaries but exhibit a continuous transition from one to another. By proper definitions the energy components are on the chemical energy scale. The method is realized by using Becke's integration scheme and weight function permitting very effective numerical integrations.

  10. Fuzzy ART and Fuzzy ARTMAP with adaptively weighted distances

    NASA Astrophysics Data System (ADS)

    Charalampidis, Dimitrios; Anagnostopoulos, Georgios C.; Georgiopoulos, Michael; Kasparis, Takis

    2002-03-01

    In this paper, we introduce a modification of the Fuzzy ARTMAP (FAM) neural network, namely, the Fuzzy ARTMAP with adaptively weighted distances (FAMawd) neural network. In FAMawd we substitute the regular L1-norm with a weighted L1-norm to measure the distances between categories and input patterns. The distance-related weights are a function of a category's shape and allow for bias in the direction of a category's expansion during learning. Moreover, the modification to the distance measurement is proposed in order to study the capability of FAMawd in achieving more compact knowledge representation than FAM, while simultaneously maintaining good classification performance. For a special parameter setting FAMawd simplifies to the original FAM, thus, making FAMawd a generalization of the FAM architecture. We also present an experimental comparison between FAMawd and FAM on two benchmark classification problems in terms of generalization performance and utilization of categories. Our obtained results illustrate FAMawd's potential to exhibit low memory utilization, while maintaining classification performance comparable to FAM.

  11. Application of fuzzy logic in robot control

    NASA Astrophysics Data System (ADS)

    Kemppainen, Seppo; Roening, Juha

    1992-11-01

    During the past several years, fuzzy control has emerged as a suitable control strategy for many complex and nonlinear control problems. The control provided by fuzzy logic is both smooth and accurate. Also the 'if-then' rules of fuzzy control systems are easy to understand and relatively easy to develop. This paper presents a toolkit which is used in the implementation of fuzzy control system. The toolkit consists of C++ class library which computes inferences in fuzzy logic. The toolkit is used to implement a fuzzy control system which controls the movement of a simulated mobile robot. The proposed architecture consists of several rulesets. Each ruleset specializes in some control task, for example, there are rulesets for going around an obstacle, avoiding a moving obstacle, going through a door, etc. The multiple ruleset fuzzy control system is used to guide the simulated mobile robot to a given goal in an unknown environment. With the proposed multiple ruleset architecture complex control problems can be solved while single rulesets remain simple and efficient.

  12. Security analysis for fingerprint fuzzy vaults

    NASA Astrophysics Data System (ADS)

    Hartloff, Jesse; Bileschi, Maxwell; Tulyakov, Sergey; Dobler, Jimmy; Rudra, Atri; Govindaraju, Venu

    2013-05-01

    In this work we place some of the traditional biometrics work on fingerprint verification via the fuzzy vault scheme within a cryptographic framework. We show that the breaking of a fuzzy vault leads to decoding of Reed-Solomon codes from random errors, which has been proposed as a hard problem in the cryptography community. We provide a security parameter for the fuzzy vault in terms of the decoding problem, which gives context for the breaking of the fuzzy vault, whereas most of the existing literature measures the strength of the fuzzy vault in terms of its resistance to pre-defined attacks or by the entropy of the vault. We keep track of our security parameter, and provide it alongside ROC statistics. We also aim to be more aware of the nature of the fingerprints when placing them in the fuzzy vault, noting that the distribution of minutiae is far from uniformly random. The results we show provide additional support that the fuzzy vault can be a viable scheme for secure fingerprint verification.

  13. Fuzzy probabilistic design of water distribution networks

    NASA Astrophysics Data System (ADS)

    Fu, Guangtao; Kapelan, Zoran

    2011-05-01

    The primary aim of this paper is to present a fuzzy probabilistic approach for optimal design and rehabilitation of water distribution systems, combining aleatoric and epistemic uncertainties in a unified framework. The randomness and imprecision in future water consumption are characterized using fuzzy random variables whose realizations are not real but fuzzy numbers, and the nodal head requirements are represented by fuzzy sets, reflecting the imprecision in customers' requirements. The optimal design problem is formulated as a two-objective optimization problem, with minimization of total design cost and maximization of system performance as objectives. The system performance is measured by the fuzzy random reliability, defined as the probability that the fuzzy head requirements are satisfied across all network nodes. The satisfactory degree is represented by necessity measure or belief measure in the sense of the Dempster-Shafer theory of evidence. An efficient algorithm is proposed, within a Monte Carlo procedure, to calculate the fuzzy random system reliability and is effectively combined with the nondominated sorting genetic algorithm II (NSGAII) to derive the Pareto optimal design solutions. The newly proposed methodology is demonstrated with two case studies: the New York tunnels network and Hanoi network. The results from both cases indicate that the new methodology can effectively accommodate and handle various aleatoric and epistemic uncertainty sources arising from the design process and can provide optimal design solutions that are not only cost-effective but also have higher reliability to cope with severe future uncertainties.

  14. Fuzzy Modeling and Control of HIV Infection

    PubMed Central

    Zarei, Hassan; Kamyad, Ali Vahidian; Heydari, Ali Akbar

    2012-01-01

    The present study proposes a fuzzy mathematical model of HIV infection consisting of a linear fuzzy differential equations (FDEs) system describing the ambiguous immune cells level and the viral load which are due to the intrinsic fuzziness of the immune system's strength in HIV-infected patients. The immune cells in question are considered CD4+ T-cells and cytotoxic T-lymphocytes (CTLs). The dynamic behavior of the immune cells level and the viral load within the three groups of patients with weak, moderate, and strong immune systems are analyzed and compared. Moreover, the approximate explicit solutions of the proposed model are derived using a fitting-based method. In particular, a fuzzy control function indicating the drug dosage is incorporated into the proposed model and a fuzzy optimal control problem (FOCP) minimizing both the viral load and the drug costs is constructed. An optimality condition is achieved as a fuzzy boundary value problem (FBVP). In addition, the optimal fuzzy control function is completely characterized and a numerical solution for the optimality system is computed. PMID:22536298

  15. Design of supply chain in fuzzy environment

    NASA Astrophysics Data System (ADS)

    Rao, Kandukuri Narayana; Subbaiah, Kambagowni Venkata; Singh, Ganja Veera Pratap

    2013-05-01

    Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are moving from decoupled decision processes towards more integrated design and control of their components to achieve the strategic fit. In this paper, a new approach is developed to design a multi-echelon, multi-facility, and multi-product supply chain in fuzzy environment. In fuzzy environment, mixed integer programming problem is formulated through fuzzy goal programming in strategic level with supply chain cost and volume flexibility as fuzzy goals. These fuzzy goals are aggregated using minimum operator. In tactical level, continuous review policy for controlling raw material inventories in supplier echelon and controlling finished product inventories in plant as well as distribution center echelon is considered as fuzzy goals. A non-linear programming model is formulated through fuzzy goal programming using minimum operator in the tactical level. The proposed approach is illustrated with a numerical example.

  16. Image Edge Extraction via Fuzzy Reasoning

    NASA Technical Reports Server (NTRS)

    Dominquez, Jesus A. (Inventor); Klinko, Steve (Inventor)

    2008-01-01

    A computer-based technique for detecting edges in gray level digital images employs fuzzy reasoning to analyze whether each pixel in an image is likely on an edge. The image is analyzed on a pixel-by-pixel basis by analyzing gradient levels of pixels in a square window surrounding the pixel being analyzed. An edge path passing through the pixel having the greatest intensity gradient is used as input to a fuzzy membership function, which employs fuzzy singletons and inference rules to assigns a new gray level value to the pixel that is related to the pixel's edginess degree.

  17. Fuzzy geometry, entropy, and image information

    NASA Technical Reports Server (NTRS)

    Pal, Sankar K.

    1991-01-01

    Presented here are various uncertainty measures arising from grayness ambiguity and spatial ambiguity in an image, and their possible applications as image information measures. Definitions are given of an image in the light of fuzzy set theory, and of information measures and tools relevant for processing/analysis e.g., fuzzy geometrical properties, correlation, bound functions and entropy measures. Also given is a formulation of algorithms along with management of uncertainties for segmentation and object extraction, and edge detection. The output obtained here is both fuzzy and nonfuzzy. Ambiguity in evaluation and assessment of membership function are also described.

  18. Fuzzy Hybrid Deliberative/Reactive Paradigm (FHDRP)

    NASA Technical Reports Server (NTRS)

    Sarmadi, Hengameth

    2004-01-01

    This work aims to introduce a new concept for incorporating fuzzy sets in hybrid deliberative/reactive paradigm. After a brief review on basic issues of hybrid paradigm the definition of agent-based fuzzy hybrid paradigm, which enables the agents to proceed and extract their behavior through quantitative numerical and qualitative knowledge and to impose their decision making procedure via fuzzy rule bank, is discussed. Next an example performs a more applied platform for the developed approach and finally an overview of the corresponding agents architecture enhances agents logical framework.

  19. Adaptive Fuzzy Systems in Computational Intelligence

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1996-01-01

    In recent years, the interest in computational intelligence techniques, which currently includes neural networks, fuzzy systems, and evolutionary programming, has grown significantly and a number of their applications have been developed in the government and industry. In future, an essential element in these systems will be fuzzy systems that can learn from experience by using neural network in refining their performances. The GARIC architecture, introduced earlier, is an example of a fuzzy reinforcement learning system which has been applied in several control domains such as cart-pole balancing, simulation of to Space Shuttle orbital operations, and tether control. A number of examples from GARIC's applications in these domains will be demonstrated.

  20. Evolutionary Local Search of Fuzzy Rules through a novel Neuro-Fuzzy encoding method.

    PubMed

    Carrascal, A; Manrique, D; Ríos, J; Rossi, C

    2003-01-01

    This paper proposes a new approach for constructing fuzzy knowledge bases using evolutionary methods. We have designed a genetic algorithm that automatically builds neuro-fuzzy architectures based on a new indirect encoding method. The neuro-fuzzy architecture represents the fuzzy knowledge base that solves a given problem; the search for this architecture takes advantage of a local search procedure that improves the chromosomes at each generation. Experiments conducted both on artificially generated and real world problems confirm the effectiveness of the proposed approach.

  1. Genetic Algorithm for Solving Fuzzy Shortest Path Problem in a Network with mixed fuzzy arc lengths

    NASA Astrophysics Data System (ADS)

    Mahdavi, Iraj; Tajdin, Ali; Hassanzadeh, Reza; Mahdavi-Amiri, Nezam; Shafieian, Hosna

    2011-06-01

    We are concerned with the design of a model and an algorithm for computing a shortest path in a network having various types of fuzzy arc lengths. First, we develop a new technique for the addition of various fuzzy numbers in a path using α -cuts by proposing a linear least squares model to obtain membership functions for the considered additions. Then, using a recently proposed distance function for comparison of fuzzy numbers. we propose a new approach to solve the fuzzy APSPP using of genetic algorithm. Examples are worked out to illustrate the applicability of the proposed model.

  2. Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA

    PubMed Central

    Tahriri, Farzad; Dawal, Siti Zawiah Md; Taha, Zahari

    2014-01-01

    A new multiobjective dynamic fuzzy genetic algorithm is applied to solve a fuzzy mixed-model assembly line sequencing problem in which the primary goals are to minimize the total make-span and minimize the setup number simultaneously. Trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data. An improved genetic algorithm called fuzzy adaptive genetic algorithm (FAGA) is proposed in order to solve this optimization model. In establishing the FAGA, five dynamic fuzzy parameter controllers are devised in which fuzzy expert experience controller (FEEC) is integrated with automatic learning dynamic fuzzy controller (ALDFC) technique. The enhanced algorithm dynamically adjusts the population size, number of generations, tournament candidate, crossover rate, and mutation rate compared with using fixed control parameters. The main idea is to improve the performance and effectiveness of existing GAs by dynamic adjustment and control of the five parameters. Verification and validation of the dynamic fuzzy GA are carried out by developing test-beds and testing using a multiobjective fuzzy mixed production assembly line sequencing optimization problem. The simulation results highlight that the performance and efficacy of the proposed novel optimization algorithm are more efficient than the performance of the standard genetic algorithm in mixed assembly line sequencing model. PMID:24982962

  3. FUZZY SUPERNOVA TEMPLATES. I. CLASSIFICATION

    SciTech Connect

    Rodney, Steven A.; Tonry, John L. E-mail: jt@ifa.hawaii.ed

    2009-12-20

    Modern supernova (SN) surveys are now uncovering stellar explosions at rates that far surpass what the world's spectroscopic resources can handle. In order to make full use of these SN data sets, it is necessary to use analysis methods that depend only on the survey photometry. This paper presents two methods for utilizing a set of SN light-curve templates to classify SN objects. In the first case, we present an updated version of the Bayesian Adaptive Template Matching program (BATM). To address some shortcomings of that strictly Bayesian approach, we introduce a method for Supernova Ontology with Fuzzy Templates (SOFT), which utilizes fuzzy set theory for the definition and combination of SN light-curve models. For well-sampled light curves with a modest signal-to-noise ratio (S/N >10), the SOFT method can correctly separate thermonuclear (Type Ia) SNe from core collapse SNe with >=98% accuracy. In addition, the SOFT method has the potential to classify SNe into sub-types, providing photometric identification of very rare or peculiar explosions. The accuracy and precision of the SOFT method are verified using Monte Carlo simulations as well as real SN light curves from the Sloan Digital Sky Survey and the SuperNova Legacy Survey. In a subsequent paper, the SOFT method is extended to address the problem of parameter estimation, providing estimates of redshift, distance, and host galaxy extinction without any spectroscopy.

  4. Schoolwide Literacy Days.

    ERIC Educational Resources Information Center

    Polder, Darlene D.

    2000-01-01

    Describes 10 "literacy day" activities that one California elementary school has used successfully schoolwide, typically one such day per month, to make reading fun and purposeful, while developing a sense of community. Includes: spread-a-quilt day; teacher exchange day; turn off the TV; Dr. Seuss day; community readers; schoolwide poets; original…

  5. Fuzzy α-minimum spanning tree problem: definition and solutions

    NASA Astrophysics Data System (ADS)

    Zhou, Jian; Chen, Lu; Wang, Ke; Yang, Fan

    2016-04-01

    In this paper, the minimum spanning tree problem is investigated on the graph with fuzzy edge weights. The notion of fuzzy ? -minimum spanning tree is presented based on the credibility measure, and then the solutions of the fuzzy ? -minimum spanning tree problem are discussed under different assumptions. First, we respectively, assume that all the edge weights are triangular fuzzy numbers and trapezoidal fuzzy numbers and prove that the fuzzy ? -minimum spanning tree problem can be transformed to a classical problem on a crisp graph in these two cases, which can be solved by classical algorithms such as the Kruskal algorithm and the Prim algorithm in polynomial time. Subsequently, as for the case that the edge weights are general fuzzy numbers, a fuzzy simulation-based genetic algorithm using Prüfer number representation is designed for solving the fuzzy ? -minimum spanning tree problem. Some numerical examples are also provided for illustrating the effectiveness of the proposed solutions.

  6. Improving land resource evaluation using fuzzy neural network ensembles

    USGS Publications Warehouse

    XUE, Y.-J.; HU, Y.-M.; Liu, S.-G.; YANG, J.-F.; CHEN, Q.-C.; BAO, S.-T.

    2007-01-01

    Land evaluation factors often contain continuous-, discrete- and nominal-valued attributes. In traditional land evaluation, these different attributes are usually graded into categorical indexes by land resource experts, and the evaluation results rely heavily on experts' experiences. In order to overcome the shortcoming, we presented a fuzzy neural network ensemble method that did not require grading the evaluation factors into categorical indexes and could evaluate land resources by using the three kinds of attribute values directly. A fuzzy back propagation neural network (BPNN), a fuzzy radial basis function neural network (RBFNN), a fuzzy BPNN ensemble, and a fuzzy RBFNN ensemble were used to evaluate the land resources in Guangdong Province. The evaluation results by using the fuzzy BPNN ensemble and the fuzzy RBFNN ensemble were much better than those by using the single fuzzy BPNN and the single fuzzy RBFNN, and the error rate of the single fuzzy RBFNN or fuzzy RBFNN ensemble was lower than that of the single fuzzy BPNN or fuzzy BPNN ensemble, respectively. By using the fuzzy neural network ensembles, the validity of land resource evaluation was improved and reliance on land evaluators' experiences was considerably reduced. ?? 2007 Soil Science Society of China.

  7. Fuzzy logic for personalized healthcare and diagnostics: FuzzyApp--a fuzzy logic based allergen-protein predictor.

    PubMed

    Saravanan, Vijayakumar; Lakshmi, P T V

    2014-09-01

    The path to personalized medicine demands the use of new and customized biopharmaceutical products containing modified proteins. Hence, assessment of these products for allergenicity becomes mandatory before they are introduced as therapeutics. Despite the availability of different tools to predict the allergenicity of proteins, it remains challenging to predict the allergens and nonallergens, when they share significant sequence similarity with known nonallergens and allergens, respectively. Hence, we propose "FuzzyApp," a novel fuzzy rule based system to evaluate the quality of the query protein to be an allergen. It measures the allergenicity of the protein based on the fuzzy IF-THEN rules derived from five different modules. On various datasets, FuzzyApp outperformed other existing methods and retained balance between sensitivity and specificity, with positive Mathew's correlation coefficient. The high specificity of allergen-like putative nonallergens (APN) revealed the FuzzyApp's capability in distinguishing the APN from allergens. In addition, the error analysis and whole proteome dataset analysis suggest the efficiency and consistency of the proposed method. Further, FuzzyApp predicted the Tropomyosin from various allergenic and nonallergenic sources accurately. The web service created allows batch sequence submission, and outputs the result as readable sentences rather than values alone, which assists the user in understanding why and what features are responsible for the prediction. FuzzyApp is implemented using PERL CGI and is freely accessible at http://fuzzyapp.bicpu.edu.in/predict.php . We suggest the use of Fuzzy logic has much potential in biomarker and personalized medicine research to enhance predictive capabilities of post-genomics diagnostics.

  8. First Day of Life

    MedlinePlus

    ... Things to Know About Zika & Pregnancy The First Day of Life KidsHealth > For Parents > The First Day ... continue What Your Baby Does on the First Day Many parents are surprised to see how alert ...

  9. Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance

    PubMed Central

    Park, Jong-Wook; Kwak, Hwan-Joo; Kang, Young-Chang; Kim, Dong W.

    2016-01-01

    An advanced fuzzy potential field method for mobile robot obstacle avoidance is proposed. The potential field method primarily deals with the repulsive forces surrounding obstacles, while fuzzy control logic focuses on fuzzy rules that handle linguistic variables and describe the knowledge of experts. The design of a fuzzy controller—advanced fuzzy potential field method (AFPFM)—that models and enhances the conventional potential field method is proposed and discussed. This study also examines the rule-explosion problem of conventional fuzzy logic and assesses the performance of our proposed AFPFM through simulations carried out using a mobile robot. PMID:27123001

  10. Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance.

    PubMed

    Park, Jong-Wook; Kwak, Hwan-Joo; Kang, Young-Chang; Kim, Dong W

    2016-01-01

    An advanced fuzzy potential field method for mobile robot obstacle avoidance is proposed. The potential field method primarily deals with the repulsive forces surrounding obstacles, while fuzzy control logic focuses on fuzzy rules that handle linguistic variables and describe the knowledge of experts. The design of a fuzzy controller--advanced fuzzy potential field method (AFPFM)--that models and enhances the conventional potential field method is proposed and discussed. This study also examines the rule-explosion problem of conventional fuzzy logic and assesses the performance of our proposed AFPFM through simulations carried out using a mobile robot. PMID:27123001

  11. Fuzzy Q-Learning for Generalization of Reinforcement Learning

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.

    1996-01-01

    Fuzzy Q-Learning, introduced earlier by the author, is an extension of Q-Learning into fuzzy environments. GARIC is a methodology for fuzzy reinforcement learning. In this paper, we introduce GARIC-Q, a new method for doing incremental Dynamic Programming using a society of intelligent agents which are controlled at the top level by Fuzzy Q-Learning and at the local level, each agent learns and operates based on GARIC. GARIC-Q improves the speed and applicability of Fuzzy Q-Learning through generalization of input space by using fuzzy rules and bridges the gap between Q-Learning and rule based intelligent systems.

  12. Fuzzy controllers and fuzzy expert systems: industrial applications of fuzzy technology

    NASA Astrophysics Data System (ADS)

    Bonissone, Piero P.

    1995-06-01

    We will provide a brief description of the field of approximate reasoning systems, with a particular emphasis on the development of fuzzy logic control (FLC). FLC technology has drastically reduced the development time and deployment cost for the synthesis of nonlinear controllers for dynamic systems. As a result we have experienced an increased number of FLC applications. In a recently published paper we have illustrated some of our efforts in FLC technology transfer, covering projects in turboshaft aircraft engine control, stream turbine startup, steam turbine cycling optimization, resonant converter power supply control, and data-induced modeling of the nonlinear relationship between process variable in a rolling mill stand. These applications will be illustrated in the oral presentation. In this paper, we will compare these applications in a cost/complexity framework, and examine the driving factors that led to the use of FLCs in each application. We will emphasize the role of fuzzy logic in developing supervisory controllers and in maintaining explicit the tradeoff criteria used to manage multiple control strategies. Finally, we will describe some of our FLC technology research efforts in automatic rule base tuning and generation, leading to a suite of programs for reinforcement learning, supervised learning, genetic algorithms, steepest descent algorithms, and rule clustering.

  13. Multilayer perceptron, fuzzy sets, and classification

    NASA Technical Reports Server (NTRS)

    Pal, Sankar K.; Mitra, Sushmita

    1992-01-01

    A fuzzy neural network model based on the multilayer perceptron, using the back-propagation algorithm, and capable of fuzzy classification of patterns is described. The input vector consists of membership values to linguistic properties while the output vector is defined in terms of fuzzy class membership values. This allows efficient modeling of fuzzy or uncertain patterns with appropriate weights being assigned to the backpropagated errors depending upon the membership values at the corresponding outputs. During training, the learning rate is gradually decreased in discrete steps until the network converges to a minimum error solution. The effectiveness of the algorithm is demonstrated on a speech recognition problem. The results are compared with those of the conventional MLP, the Bayes classifier, and the other related models.

  14. On retrial queueing model with fuzzy parameters

    NASA Astrophysics Data System (ADS)

    Ke, Jau-Chuan; Huang, Hsin-I.; Lin, Chuen-Horng

    2007-01-01

    This work constructs the membership functions of the system characteristics of a retrial queueing model with fuzzy customer arrival, retrial and service rates. The α-cut approach is used to transform a fuzzy retrial-queue into a family of conventional crisp retrial queues in this context. By means of the membership functions of the system characteristics, a set of parametric non-linear programs is developed to describe the family of crisp retrial queues. A numerical example is solved successfully to illustrate the validity of the proposed approach. Because the system characteristics are expressed and governed by the membership functions, more information is provided for use by management. By extending this model to the fuzzy environment, fuzzy retrial-queue is represented more accurately and analytic results are more useful for system designers and practitioners.

  15. On Fuzzy Sets: Reply to Cerny.

    ERIC Educational Resources Information Center

    Robertson, Stephen E.

    1979-01-01

    Responds to Barbara A. Cerny's reaction to Robinson's article on the role of fuzzy set theory in information science, addressing Cerny's points about probability theory and statistical uncertainty. (FM)

  16. Fuzzy system for detecting microcalcifications in mammograms

    NASA Astrophysics Data System (ADS)

    Strickland, Robin N.; Theodosiou, Theodosis

    1998-10-01

    We present a fuzzy classifier for detecting microcalcification sin digitized mammograms. The classifier post-processes the output form a wavelets-based multiscale correlation filter. Each local peak in the correlation filter output is represented by a set of five features describing the shape, size and definition of the peak. These features are used in linguistic rules by a fuzzy system that is trained to distinguish between microcalcification sand normal mammogram texture. In borderline cases where microcalcifications are buried in dense tissue or appear only faintly, simply drawing a straight threshold across the feature vector values will likely not produce the correct classification. the fuzzy system allows the effective 'threshold' to be drawn across ranges of features values depending upon how they interact with one another. Compared to wavelet processing alone, the fuzzy detection system produces a significant increase in true positive fraction when tested on a public domain mammogram database.

  17. Microturbine control based on fuzzy neural network

    NASA Astrophysics Data System (ADS)

    Yan, Shijie; Bian, Chunyuan; Wang, Zhiqiang

    2006-11-01

    As microturbine generator (MTG) is a clean, efficient, low cost and reliable energy supply system. From outside characteristics of MTG, it is multi-variable, time-varying and coupling system, so it is difficult to be identified on-line and conventional control law adopted before cannot achieve desirable result. A novel fuzzy-neural networks (FNN) control algorithm was proposed in combining with the conventional PID control. In the paper, IF-THEN rules for tuning were applied by a first-order Sugeno fuzzy model with seven fuzzy rules and the membership function was given as the continuous GAUSSIAN function. Some sample data were utilized to train FNN. Through adjusting shape of membership function and weight continually, objective of auto-tuning fuzzy-rules can be achieved. The FNN algorithm had been applied to "100kW Microturbine control and power converter system". The results of simulation and experiment are shown that the algorithm can work very well.

  18. Nursing and fuzzy logic: an integrative review.

    PubMed

    Jensen, Rodrigo; Lopes, Maria Helena Baena de Moraes

    2011-01-01

    This study conducted an integrative review investigating how fuzzy logic has been used in research with the participation of nurses. The article search was carried out in the CINAHL, EMBASE, SCOPUS, PubMed and Medline databases, with no limitation on time of publication. Articles written in Portuguese, English and Spanish with themes related to nursing and fuzzy logic with the authorship or participation of nurses were included. The final sample included 21 articles from eight countries. For the purpose of analysis, the articles were distributed into categories: theory, method and model. In nursing, fuzzy logic has significantly contributed to the understanding of subjects related to: imprecision or the need of an expert; as a research method; and in the development of models or decision support systems and hard technologies. The use of fuzzy logic in nursing has shown great potential and represents a vast field for research.

  19. Fuzzy logic and neural network technologies

    NASA Technical Reports Server (NTRS)

    Villarreal, James A.; Lea, Robert N.; Savely, Robert T.

    1992-01-01

    Applications of fuzzy logic technologies in NASA projects are reviewed to examine their advantages in the development of neural networks for aerospace and commercial expert systems and control. Examples of fuzzy-logic applications include a 6-DOF spacecraft controller, collision-avoidance systems, and reinforcement-learning techniques. The commercial applications examined include a fuzzy autofocusing system, an air conditioning system, and an automobile transmission application. The practical use of fuzzy logic is set in the theoretical context of artificial neural systems (ANSs) to give the background for an overview of ANS research programs at NASA. The research and application programs include the Network Execution and Training Simulator and faster training algorithms such as the Difference Optimized Training Scheme. The networks are well suited for pattern-recognition applications such as predicting sunspots, controlling posture maintenance, and conducting adaptive diagnoses.

  20. Refining Linear Fuzzy Rules by Reinforcement Learning

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.; Khedkar, Pratap S.; Malkani, Anil

    1996-01-01

    Linear fuzzy rules are increasingly being used in the development of fuzzy logic systems. Radial basis functions have also been used in the antecedents of the rules for clustering in product space which can automatically generate a set of linear fuzzy rules from an input/output data set. Manual methods are usually used in refining these rules. This paper presents a method for refining the parameters of these rules using reinforcement learning which can be applied in domains where supervised input-output data is not available and reinforcements are received only after a long sequence of actions. This is shown for a generalization of radial basis functions. The formation of fuzzy rules from data and their automatic refinement is an important step in closing the gap between the application of reinforcement learning methods in the domains where only some limited input-output data is available.

  1. Solutions of The Fully Fuzzy Linear System

    NASA Astrophysics Data System (ADS)

    Mikaeilvand, Nasser; Allahviranloo, Tofigh

    2009-05-01

    As can be seen from the definition of extended operations on fuzzy numbers, subtraction and division of fuzzy numbers are not the inverse operations to addition and multiplication, respectively. Hence for solving equations or system of equations, we must use methods without using inverse operators. In this paper, we propose a novel method to find the nonzero solutions of fully fuzzy linear systems (shown as FFLS). System's parameters are Split to two groups of non positives and non negatives by solving one multi objective linear program (MOLP) and employing embedding method to transform n×n (FFLS) to 2n×2n parametric form linear system and hence, transform operations on fuzzy numbers to operations on functions. And finally, numerical examples are used to illustrate this approach.

  2. Fuzzy controllers in nuclear material accounting

    SciTech Connect

    Zardecki, A.

    1994-10-01

    Fuzzy controllers are applied to predicting and modeling a time series, with particular emphasis on anomaly detection in nuclear material inventory differences. As compared to neural networks, the fuzzy controllers can operate in real time; their learning process does not require many iterations to converge. For this reason fuzzy controllers are potentially useful in time series forecasting, where the authors want to detect and identify trends in real time. They describe an object-oriented implementation of the algorithm advanced by Wang and Mendel. Numerical results are presented both for inventory data and time series corresponding to chaotic situations, such as encountered in the context of strange attractors. In the latter case, the effects of noise on the predictive power of the fuzzy controller are explored.

  3. Cognitive reasoning using fuzzy neural nets.

    PubMed

    Pal, S; Konar, A

    1996-01-01

    The paper presents a new model for cognitive reasoning using fuzzy neural nets. The analysis of the proposed model yields guaranteed stability of the temporal fuzzy inferences, derived from the network and conditional stability of the structure of the cognitive map, framed by the arcs of the network. The results arrived at in the paper have been illustrated with reference to a typical weather forecast system.

  4. A Fuzzy Aproach For Facial Emotion Recognition

    NASA Astrophysics Data System (ADS)

    Gîlcă, Gheorghe; Bîzdoacă, Nicu-George

    2015-09-01

    This article deals with an emotion recognition system based on the fuzzy sets. Human faces are detected in images with the Viola - Jones algorithm and for its tracking in video sequences we used the Camshift algorithm. The detected human faces are transferred to the decisional fuzzy system, which is based on the variable fuzzyfication measurements of the face: eyebrow, eyelid and mouth. The system can easily determine the emotional state of a person.

  5. TS fuzzy realization of chaotic Lü system

    NASA Astrophysics Data System (ADS)

    Li, Dequan

    2006-07-01

    The Lü attractor is a new chaotic attractor, which connects the Lorenz attractor and the Chen attractor and represents the transition from one to the other. The Letter presents a hybrid TS fuzzy modeling approach for the newly coined chaotic Lü system. Then the abundant and fundamental dynamical behaviors of the chaotic Lü system are completely and comprehensive investigated based on this novel hybrid TS fuzzy model.

  6. Automated leukocyte recognition using fuzzy divergence.

    PubMed

    Ghosh, Madhumala; Das, Devkumar; Chakraborty, Chandan; Ray, Ajoy K

    2010-10-01

    This paper aims at introducing an automated approach to leukocyte recognition using fuzzy divergence and modified thresholding techniques. The recognition is done through the segmentation of nuclei where Gamma, Gaussian and Cauchy type of fuzzy membership functions are studied for the image pixels. It is in fact found that Cauchy leads better segmentation as compared to others. In addition, image thresholding is modified for better recognition. Results are studied and discussed.

  7. Lucky guess or knowledge: a cross-sectional study using the Bland and Altman analysis to compare confidence-based testing of pharmacological knowledge in 3rd and 5th year medical students.

    PubMed

    Kampmeyer, Daniela; Matthes, Jan; Herzig, Stefan

    2015-05-01

    Multiple-choice-questions are common in medical examinations, but guessing biases assessment results. Confidence-based-testing (CBT) integrates indicated confidence levels. It has been suggested that correctness of and confidence in an answer together indicate knowledge levels thus determining the quality of a resulting decision. We used a CBT approach to investigate whether decision quality improves during undergraduate medical education. 3rd- and 5th-year students attended formative multiple-choice exams on pharmacological issues. Students were asked to indicate their confidence in a given answer. Correctness of answers was scored binary (1-correct; 0-wrong) and confidence levels were transformed to an ordinal scale (guess: 0; rather unsure: 0.33; rather sure: 0.66; very sure: 1). 5th-year students gave more correct answers (73 ± 16 vs. 49 ± 13 %, p < 0.05) and were on average more confident regarding the correctness of their answers (0.61 ± 0.18 vs. 0.46 ± 0.13, p < 0.05). Correlation of these parameters was stronger for 5th-year students (r = 0.81 vs. r = 0.52), but agreement of confidence and correctness ('centration') was lower. By combining the Bland-and-Altman approach with categories of decision-quality we found that 5th-year students were more likely to be 'well-informed' (41 vs. 5 %), while more 3rd-students were 'uninformed' (24 vs. 76 %). Despite a good correlation of exam results and confidence in given answers increased knowledge might be accompanied by a more critical view at the own abilities. Combining the statistical Bland-and-Altman analysis with a theoretical approach to decision-quality, more advanced students are expected to apply correct beliefs, while their younger fellows are rather at risk to hesitate or to act amiss.

  8. Adaptive fuzzy system for 3-D vision

    NASA Technical Reports Server (NTRS)

    Mitra, Sunanda

    1993-01-01

    An adaptive fuzzy system using the concept of the Adaptive Resonance Theory (ART) type neural network architecture and incorporating fuzzy c-means (FCM) system equations for reclassification of cluster centers was developed. The Adaptive Fuzzy Leader Clustering (AFLC) architecture is a hybrid neural-fuzzy system which learns on-line in a stable and efficient manner. The system uses a control structure similar to that found in the Adaptive Resonance Theory (ART-1) network to identify the cluster centers initially. The initial classification of an input takes place in a two stage process; a simple competitive stage and a distance metric comparison stage. The cluster prototypes are then incrementally updated by relocating the centroid positions from Fuzzy c-Means (FCM) system equations for the centroids and the membership values. The operational characteristics of AFLC and the critical parameters involved in its operation are discussed. The performance of the AFLC algorithm is presented through application of the algorithm to the Anderson Iris data, and laser-luminescent fingerprint image data. The AFLC algorithm successfully classifies features extracted from real data, discrete or continuous, indicating the potential strength of this new clustering algorithm in analyzing complex data sets. The hybrid neuro-fuzzy AFLC algorithm will enhance analysis of a number of difficult recognition and control problems involved with Tethered Satellite Systems and on-orbit space shuttle attitude controller.

  9. Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method

    PubMed Central

    Alguliyev, Rasim M.; Aliguliyev, Ramiz M.; Mahmudova, Rasmiyya S.

    2015-01-01

    Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method. PMID:26516634

  10. Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.

    PubMed

    Alguliyev, Rasim M; Aliguliyev, Ramiz M; Mahmudova, Rasmiyya S

    2015-01-01

    Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method. PMID:26516634

  11. Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method.

    PubMed

    Alguliyev, Rasim M; Aliguliyev, Ramiz M; Mahmudova, Rasmiyya S

    2015-01-01

    Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.

  12. Adult Day Services

    MedlinePlus

    A Smart Choice Adult Day Services Comparison At-a-Glance 1 Adult Day Services Assisted Living Home Care Nursing Homes Live at home with family ... supervision Nursing care available as needed during the day Flexibility to receive care only on days when ...

  13. PREFACE: MEM07: The 5th Annual Workshop on Mechanical and Electromagnetic Properties of Composite Superconductors (Princeton, NJ, USA, 21 24 August 2007)

    NASA Astrophysics Data System (ADS)

    Larbalestier, D. C.; Osamura, K.; Hampshire, D. P.

    2008-05-01

    MEM07 was the 5th international workshop concentrating on the mechanical and electrical properties of composite superconductors, which are the technological conductor forms from which practical superconducting devices are made. Such superconducting conductors respond to important challenges we currently face, especially those concerned with the proper management of the world's energy resources. Superconductivity provides a means to address the challenges in the generation, transmission and distribution, and use of energy. For energy generation, the ITER Fusion Tokomak (now underway in France) provides exciting new challenges for the whole superconductivity community, due to the enormous size and strong fields of the plasma confinement superconducting magnets that will form the largest and most powerful superconducting machine yet built. Significant attention was paid at MEM07 to the modeling, characterization, testing and validation of the high-amperage Nb3Sn cable-in-conduit conductors needed for ITER. As for electric energy industry uses, there was much discussion of both first generation (Bi,Pb)2Sr2Ca2Cu3Ox conductors and the rapidly emerging second generation coated conductors made from YBa2Cu37-x. High-performing, affordable conductors of these materials are vital for large capacity transmission cables, energy storage systems, fault current limiters, generators and motors—many prototypes of which are being pursued in technologically advanced countries. There is a broad consensus that the prototype stage for high-current-high-field superconducting applications is nearing its end and that large scale applications are technologically feasible. However full industrialization of large-scale superconducting technologies in electric utility applications will benefit from continuous improvement in critical current, lower ac loss, higher strength and other vital conductor properties. The establishment of optimal procedures for the system design accompanying scale

  14. Solution of the Traffic Jam Problem through Fuzzy Applications

    NASA Astrophysics Data System (ADS)

    Fernandez, Shery

    2010-11-01

    The major hurdle of a city planning council is to handle the traffic jam problem. The number of vehicles on roads increases day by day. Also the number of vehicles is directly proportional to the width of the road (including that of parallel roads). But it is not always possible to make roads or to increase width of the road corresponding to the increase in the number of vehicles. Also we cannot tell a person not to buy a vehicle. So trying to minimise the traffic jam is the only possible way to overcome this hurdle. Here we try to develop a method to avoid traffic jam through a mathematical approach (through fuzzy applications). This method helps to find a suitable route from an origin to a destination with lesser time than other routes.

  15. The fuzzy system classifier using an intelligent mattress

    NASA Astrophysics Data System (ADS)

    Hnatiuc, Mihaela; Caruntu, George; Sarbu, Vasile

    2009-01-01

    Quality sleep enables your body and mind to be efficient during the day. The good rest of subject on bed depends by many factors; one of them can be the physical discomfort. In this paper one presents the medical system to prevent the discomfort and to identify the subject behavior during the sleep. The epochs of the sleep are classified using the fuzzy system with many inputs. The aim of this analysis is to realize an expert system to diagnose the sleep. A good diagnostic is obtained if the patient is supervised along all day. The system has a microsystem to control, command the pressure sensors and the relay for tuning the airbags pressure.

  16. Twenty-Five Years of the Fuzzy Factor: Fuzzy Logic, the Courts, and Student Press Law.

    ERIC Educational Resources Information Center

    Plopper, Bruce L.; McCool, Lauralee

    A study applied the structure of fuzzy logic, a fairly modern development in mathematical set theory, to judicial opinions concerning non-university, public school student publications, from 1975 to 1999. The study examined case outcomes (19 cases generated 27 opinions) as a function of fuzzy logic, and it evaluated interactions between fuzzy…

  17. Directed Laplacians For Fuzzy Autocatalytic Set Of Fuzzy Graph Type-3 Of An Incineration Process

    NASA Astrophysics Data System (ADS)

    Ahmad, Tahir; Baharun, Sabariah; Bakar, Sumarni Abu

    2010-11-01

    Fuzzy Autocatalytic Set (FACS) of Fuzzy Graph Type-3 was used in the modeling of a clinical waste incineration process in Malacca. FACS provided more accurate explanations of the incineration process than using crisp graph. In this paper we explore further FACS. Directed and combinatorial Laplacian of FACS are developed and their basic properties are presented.

  18. Robust Fuzzy Controllers Using FPGAs

    NASA Technical Reports Server (NTRS)

    Monroe, Author Gene S., Jr.

    2007-01-01

    Electro-mechanical device controllers typically come in one of three forms, proportional (P), Proportional Derivative (PD), and Proportional Integral Derivative (PID). Two methods of control are discussed in this paper; they are (1) the classical technique that requires an in-depth mathematical use of poles and zeros, and (2) the fuzzy logic (FL) technique that is similar to the way humans think and make decisions. FL controllers are used in multiple industries; examples include control engineering, computer vision, pattern recognition, statistics, and data analysis. Presented is a study on the development of a PD motor controller written in very high speed hardware description language (VHDL), and implemented in FL. Four distinct abstractions compose the FL controller, they are the fuzzifier, the rule-base, the fuzzy inference system (FIS), and the defuzzifier. FL is similar to, but different from, Boolean logic; where the output value may be equal to 0 or 1, but it could also be equal to any decimal value between them. This controller is unique because of its VHDL implementation, which uses integer mathematics. To compensate for VHDL's inability to synthesis floating point numbers, a scale factor equal to 10(sup (N/4) is utilized; where N is equal to data word size. The scaling factor shifts the decimal digits to the left of the decimal point for increased precision. PD controllers are ideal for use with servo motors, where position control is effective. This paper discusses control methods for motion-base platforms where a constant velocity equivalent to a spectral resolution of 0.25 cm(exp -1) is required; however, the control capability of this controller extends to various other platforms.

  19. Comparison of fuzzy AHP and fuzzy TODIM methods for landfill location selection.

    PubMed

    Hanine, Mohamed; Boutkhoum, Omar; Tikniouine, Abdessadek; Agouti, Tarik

    2016-01-01

    Landfill location selection is a multi-criteria decision problem and has a strategic importance for many regions. The conventional methods for landfill location selection are insufficient in dealing with the vague or imprecise nature of linguistic assessment. To resolve this problem, fuzzy multi-criteria decision-making methods are proposed. The aim of this paper is to use fuzzy TODIM (the acronym for Interactive and Multi-criteria Decision Making in Portuguese) and the fuzzy analytic hierarchy process (AHP) methods for the selection of landfill location. The proposed methods have been applied to a landfill location selection problem in the region of Casablanca, Morocco. After determining the criteria affecting the landfill location decisions, fuzzy TODIM and fuzzy AHP methods are applied to the problem and results are presented. The comparisons of these two methods are also discussed. PMID:27186465

  20. Mining fuzzy conceptual clusters and constructing the fuzzy conceptual frame lattices

    NASA Astrophysics Data System (ADS)

    Narang, Vibhu; Kumar, Naveen

    2004-04-01

    The key idea here is to use formal concept analysis and fuzzy membership criterion to partition the data space into clusters and provide knowledge through fuzzy lattices. The procedures, written here, are regarded as mapping or transform of the original space (samples) onto concepts. The mapping is further given the fuzzy membership criteria for clustering from which the clustered concepts of various degrees are found. Bucket hashing measure has been used as a measure of similarity in the proposed algorithm. The concepts are evaluated on the basis of this criterion and then they are clustered. The intuitive appeal of this approach lies in the fact that once the concepts are clustered, the data analyst is equipped with the concept measure as well as the identification of the bridging points. An interactive concept map visualization technique called Fuzzy Conceptual Frame Lattice or Fuzzy Concept Lattices is presented for user-guided knowledge discovery from the knowledge base.

  1. Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships.

    PubMed

    Chen, Shyi-Ming; Chen, Shen-Wen

    2015-03-01

    In this paper, we present a new method for fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy-trend logical relationships. Firstly, the proposed method fuzzifies the historical training data of the main factor and the secondary factor into fuzzy sets, respectively, to form two-factors second-order fuzzy logical relationships. Then, it groups the obtained two-factors second-order fuzzy logical relationships into two-factors second-order fuzzy-trend logical relationship groups. Then, it calculates the probability of the "down-trend," the probability of the "equal-trend" and the probability of the "up-trend" of the two-factors second-order fuzzy-trend logical relationships in each two-factors second-order fuzzy-trend logical relationship group, respectively. Finally, it performs the forecasting based on the probabilities of the down-trend, the equal-trend, and the up-trend of the two-factors second-order fuzzy-trend logical relationships in each two-factors second-order fuzzy-trend logical relationship group. We also apply the proposed method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and the NTD/USD exchange rates. The experimental results show that the proposed method outperforms the existing methods.

  2. Distributed intrusion detection system based on fuzzy rules

    NASA Astrophysics Data System (ADS)

    Qiao, Peili; Su, Jie; Liu, Yahui

    2006-04-01

    Computational Intelligence is the theory and method solving problems by simulating the intelligence of human using computer and it is the development of Artificial Intelligence. Fuzzy Technique is one of the most important theories of computational Intelligence. Genetic Fuzzy Technique and Neuro-Fuzzy Technique are the combination of Fuzzy Technique and novel techniques. This paper gives a distributed intrusion detection system based on fuzzy rules that has the characters of distributed parallel processing, self-organization, self-learning and self-adaptation by the using of Neuro-Fuzzy Technique and Genetic Fuzzy Technique. Specially, fuzzy decision technique can be used to reduce false detection. The results of the simulation experiment show that this intrusion detection system model has the characteristics of distributed, error tolerance, dynamic learning, and adaptation. It solves the problem of low identifying rate to new attacks and hidden attacks. The false detection rate is low. This approach is efficient to the distributed intrusion detection.

  3. Comparison between the performance of two classes of fuzzy controllers

    NASA Technical Reports Server (NTRS)

    Janabi, T. H.; Sultan, L. H.

    1992-01-01

    This paper presents an application comparison between two classes of fuzzy controllers: the Clearness Transformation Fuzzy Controller (CTFC) and the CRI-based Fuzzy Controller. The comparison is performed by studying the application of the controllers to simulation examples of nonlinear systems. The CTFC is a new approach for the organization of fuzzy controllers based on a cognitive model of parameter driven control, the notion of fuzzy patterns to represent fuzzy knowledge and the Clearness Transformation Rule of Inference (CTRI) for approximate reasoning. The approach facilitates the implementation of the basic modules of the controller: the fuzzifier, defuzzifier, and the control protocol in a rule-based architecture. The CTRI scheme for approximate reasoning does not require the formation of fuzzy relation matrices yielding improved performance in comparison with the traditional organization of fuzzy controllers.

  4. Fuzzy model-based observers for fault detection in CSTR.

    PubMed

    Ballesteros-Moncada, Hazael; Herrera-López, Enrique J; Anzurez-Marín, Juan

    2015-11-01

    Under the vast variety of fuzzy model-based observers reported in the literature, what would be the properone to be used for fault detection in a class of chemical reactor? In this study four fuzzy model-based observers for sensor fault detection of a Continuous Stirred Tank Reactor were designed and compared. The designs include (i) a Luenberger fuzzy observer, (ii) a Luenberger fuzzy observer with sliding modes, (iii) a Walcott-Zak fuzzy observer, and (iv) an Utkin fuzzy observer. A negative, an oscillating fault signal, and a bounded random noise signal with a maximum value of ±0.4 were used to evaluate and compare the performance of the fuzzy observers. The Utkin fuzzy observer showed the best performance under the tested conditions.

  5. Encoding spatial images: A fuzzy set theory approach

    NASA Technical Reports Server (NTRS)

    Sztandera, Leszek M.

    1992-01-01

    As the use of fuzzy set theory continues to grow, there is an increased need for methodologies and formalisms to manipulate obtained fuzzy subsets. Concepts involving relative position of fuzzy patterns are acknowledged as being of high importance in many areas. In this paper, we present an approach based on the concept of dominance in fuzzy set theory for modelling relative positions among fuzzy subsets of a plane. In particular, we define the following spatial relations: to the left (right), in front of, behind, above, below, near, far from, and touching. This concept has been implemented to define spatial relationships among fuzzy subsets of the image plane. Spatial relationships based on fuzzy set theory, coupled with a fuzzy segmentation, should therefore yield realistic results in scene understanding.

  6. Genetic algorithm based fuzzy control of spacecraft autonomous rendezvous

    NASA Technical Reports Server (NTRS)

    Karr, C. L.; Freeman, L. M.; Meredith, D. L.

    1990-01-01

    The U.S. Bureau of Mines is currently investigating ways to combine the control capabilities of fuzzy logic with the learning capabilities of genetic algorithms. Fuzzy logic allows for the uncertainty inherent in most control problems to be incorporated into conventional expert systems. Although fuzzy logic based expert systems have been used successfully for controlling a number of physical systems, the selection of acceptable fuzzy membership functions has generally been a subjective decision. High performance fuzzy membership functions for a fuzzy logic controller that manipulates a mathematical model simulating the autonomous rendezvous of spacecraft are learned using a genetic algorithm, a search technique based on the mechanics of natural genetics. The membership functions learned by the genetic algorithm provide for a more efficient fuzzy logic controller than membership functions selected by the authors for the rendezvous problem. Thus, genetic algorithms are potentially an effective and structured approach for learning fuzzy membership functions.

  7. Fuzzy model-based observers for fault detection in CSTR.

    PubMed

    Ballesteros-Moncada, Hazael; Herrera-López, Enrique J; Anzurez-Marín, Juan

    2015-11-01

    Under the vast variety of fuzzy model-based observers reported in the literature, what would be the properone to be used for fault detection in a class of chemical reactor? In this study four fuzzy model-based observers for sensor fault detection of a Continuous Stirred Tank Reactor were designed and compared. The designs include (i) a Luenberger fuzzy observer, (ii) a Luenberger fuzzy observer with sliding modes, (iii) a Walcott-Zak fuzzy observer, and (iv) an Utkin fuzzy observer. A negative, an oscillating fault signal, and a bounded random noise signal with a maximum value of ±0.4 were used to evaluate and compare the performance of the fuzzy observers. The Utkin fuzzy observer showed the best performance under the tested conditions. PMID:26521723

  8. Golden Helix Pharmacogenomics Days: educational activities on pharmacogenomics and personalized medicine.

    PubMed

    Squassina, Alessio; Severino, Giovanni; Grech, Godfrey; Fenech, Anthony; Borg, Joseph; Patrinos, George P

    2012-04-01

    The Golden Helix Pharmacogenomics Days are high-profile international educational scientific meetings discussing pharmacogenomics and personalized medicine. Here, we provide an overview of the scientific lectures and the topics discussed during the 4th Golden Helix Pharmacogenomics Day, held in Cagliari, Italy, on 7 October 2011, and the 5th Golden Helix Pharmacogenomics Day, that was held in Msida, Malta, on 3 December 2011. The scientific programs of both events included scientific and company lectures on pharmacogenomics, bioinformatics and personalized medicine by local and international speakers from Europe and the USA.

  9. Industrial application of fuzzy control in bioprocesses.

    PubMed

    Honda, Hiroyuki; Kobayashi, Takeshi

    2004-01-01

    In a bioprocess, for example a fermentation process, many biological reactions are always working in intracellular space and the control of such a process is very complicated. Bioprocesses have therefore been controlled by the judgment of the experts who are the skilled operators and have much experience in the control of such processes. Such experience is normally described in terms of linguistic IF-THEN rules. Fuzzy inference is a powerful tool for incorporating linguistic rules into computer control of such processes. Fuzzy control is divided into two types--direct fuzzy control of process variables, for example sugar feed rate and fermentation temperature, and indirect control via phase recognition. In bioprocess control the experts decide the value of controllable process variables such as sugar feed rate or temperature as output data from several state variables as input data. Fuzzy control is regarded as a computational algorithm in which the causal relationship between input and output data are incorporated. In Japan fuzzy control has already been applied to practical industrial processes such as production of pravastatin precursor and vitamin B2 and to the Japanese sake mashing process; these examples are reviewed. In addition, an advanced control tool developed from a study on fuzzy control, fuzzy neural networks (FNN), are introduced. FNN can involve complicated causality between input and output data in a network model. FNN have been proven to be applicable to a research in biomedicine, for example modeling of the complicated causality between electroencephalogram or gene expression profiling data and prognostic prediction. Successful results on this research will be also explained.

  10. Fuzzy Versions of Epistemic and Deontic Logic

    NASA Technical Reports Server (NTRS)

    Gounder, Ramasamy S.; Esterline, Albert C.

    1998-01-01

    Epistemic and deontic logics are modal logics, respectively, of knowledge and of the normative concepts of obligation, permission, and prohibition. Epistemic logic is useful in formalizing systems of communicating processes and knowledge and belief in AI (Artificial Intelligence). Deontic logic is useful in computer science wherever we must distinguish between actual and ideal behavior, as in fault tolerance and database integrity constraints. We here discuss fuzzy versions of these logics. In the crisp versions, various axioms correspond to various properties of the structures used in defining the semantics of the logics. Thus, any axiomatic theory will be characterized not only by its axioms but also by the set of properties holding of the corresponding semantic structures. Fuzzy logic does not proceed with axiomatic systems, but fuzzy versions of the semantic properties exist and can be shown to correspond to some of the axioms for the crisp systems in special ways that support dependency networks among assertions in a modal domain. This in turn allows one to implement truth maintenance systems. For the technical development of epistemic logic, and for that of deontic logic. To our knowledge, we are the first to address fuzzy epistemic and fuzzy deontic logic explicitly and to consider the different systems and semantic properties available. We give the syntax and semantics of epistemic logic and discuss the correspondence between axioms of epistemic logic and properties of semantic structures. The same topics are covered for deontic logic. Fuzzy epistemic and fuzzy deontic logic discusses the relationship between axioms and semantic properties for these logics. Our results can be exploited in truth maintenance systems.

  11. Every Day Is National Lab Day

    ERIC Educational Resources Information Center

    Bull, Glen

    2010-01-01

    President Barack Obama recently issued a call for increased hands-on learning in U.S. schools in an address at the National Academy of Sciences. Obama concluded that the future of the United States depends on one's ability to encourage young people to "create, and build, and invent." In this article, the author discusses National Lab Day (NLD)…

  12. Fuzzy logic, neural networks, and soft computing

    NASA Technical Reports Server (NTRS)

    Zadeh, Lofti A.

    1994-01-01

    The past few years have witnessed a rapid growth of interest in a cluster of modes of modeling and computation which may be described collectively as soft computing. The distinguishing characteristic of soft computing is that its primary aims are to achieve tractability, robustness, low cost, and high MIQ (machine intelligence quotient) through an exploitation of the tolerance for imprecision and uncertainty. Thus, in soft computing what is usually sought is an approximate solution to a precisely formulated problem or, more typically, an approximate solution to an imprecisely formulated problem. A simple case in point is the problem of parking a car. Generally, humans can park a car rather easily because the final position of the car is not specified exactly. If it were specified to within, say, a few millimeters and a fraction of a degree, it would take hours or days of maneuvering and precise measurements of distance and angular position to solve the problem. What this simple example points to is the fact that, in general, high precision carries a high cost. The challenge, then, is to exploit the tolerance for imprecision by devising methods of computation which lead to an acceptable solution at low cost. By its nature, soft computing is much closer to human reasoning than the traditional modes of computation. At this juncture, the major components of soft computing are fuzzy logic (FL), neural network theory (NN), and probabilistic reasoning techniques (PR), including genetic algorithms, chaos theory, and part of learning theory. Increasingly, these techniques are used in combination to achieve significant improvement in performance and adaptability. Among the important application areas for soft computing are control systems, expert systems, data compression techniques, image processing, and decision support systems. It may be argued that it is soft computing, rather than the traditional hard computing, that should be viewed as the foundation for artificial

  13. The Impact of Fuzzy Logic on Student Press Law.

    ERIC Educational Resources Information Center

    McCool, Lauralee; Plopper, Bruce L.

    2001-01-01

    Uses the relatively new science of fuzzy logic to review lower court and appellate court decisions from the last four decades regarding free expression in student publications. Finds pronounced effects, showing that fuzzy sets inherently favor administrators, while students show a strikingly high win/loss ratio when courts avoid fuzzy logic. (SR)

  14. Terminology and concepts of control and Fuzzy Logic

    NASA Technical Reports Server (NTRS)

    Aldridge, Jack; Lea, Robert; Jani, Yashvant; Weiss, Jonathan

    1990-01-01

    Viewgraphs on terminology and concepts of control and fuzzy logic are presented. Topics covered include: control systems; issues in the design of a control system; state space control for inverted pendulum; proportional-integral-derivative (PID) controller; fuzzy controller; and fuzzy rule processing.

  15. Automated maneuver planning using a fuzzy logic algorithm

    NASA Technical Reports Server (NTRS)

    Conway, D.; Sperling, R.; Folta, D.; Richon, K.; Defazio, R.

    1994-01-01

    Spacecraft orbital control requires intensive interaction between the analyst and the system used to model the spacecraft trajectory. For orbits with right mission constraints and a large number of maneuvers, this interaction is difficult or expensive to accomplish in a timely manner. Some automation of maneuver planning can reduce these difficulties for maneuver-intensive missions. One approach to this automation is to use fuzzy logic in the control mechanism. Such a prototype system currently under development is discussed. The Tropical Rainfall Measurement Mission (TRMM) is one of several missions that could benefit from automated maneuver planning. TRMM is scheduled for launch in August 1997. The spacecraft is to be maintained in a 350-km circular orbit throughout the 3-year lifetime of the mission, with very small variations in this orbit allowed. Since solar maximum will occur as early as 1999, the solar activity during the TRMM mission will be increasing. The increasing solar activity will result in orbital maneuvers being performed as often as every other day. The results of automated maneuver planning for the TRMM mission will be presented to demonstrate the prototype of the fuzzy logic tool.

  16. Every Day Is Mathematical

    ERIC Educational Resources Information Center

    Barger, Rita H.; Jarrah, Adeeb M.

    2012-01-01

    March 14 is special because it is Pi Day. Mathematics is celebrated on that day because the date, 3-14, replicates the first three digits of pi. Pi-related songs, websites, trivia facts, and more are at the fingertips of interested teachers and students. Less celebrated, but still fairly well known, is National Metric Day, which falls on October…

  17. Growing degree day calculator

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Degree-day benchmarks indicate discrete biological events in the development of insect pests. For the Sparganothis fruitworm, we have isolated all key development events and linked them to degree-day accumulations. These degree-day accumulations can greatly improve treatment timings for cranberry IP...

  18. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

    PubMed

    Nguyen, Huu-Tho; Md Dawal, Siti Zawiah; Nukman, Yusoff; Aoyama, Hideki; Case, Keith

    2015-01-01

    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment. PMID:26368541

  19. Medical application of fuzzy logic: fuzzy patient state in arterial hypertension analysis

    NASA Astrophysics Data System (ADS)

    Blinowska, Aleksandra; Duckstein, Lucien

    1993-12-01

    A few existing applications of fuzzy logic in medicine are briefly described and some potential applications are reviewed. The problem of classification of patient states and medical decision making is discussed more in detail and illustrated by the example of a fuzzy rule based model developed to elicit, analyze and reproduce the opinions of multiple medical experts in the case of arterial hypertension. The goal was to reproduce the average coded answers using an adequate fuzzy procedure, here a fuzzy rule. State categories and the initial set of experimental parameters were defined according to medical practice. The fuzzy set membership functions were then assessed for each parameter in each category and a small subset of representative and pertinent parameters selected for each question. The data were split into two sets of 50 patient files each, the calibration set and the validation set. Two evaluation criteria were used: the sum of squared deviations and the sum of deviations. Fuzzy rules were then sought that reproduced the target, which was the average coded answer. Only one fuzzy rule `and' appeared to be necessary to describe the patient state in a continuous way and to approach the target as closely as the majority of experts.

  20. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation

    PubMed Central

    Nguyen, Huu-Tho; Md Dawal, Siti Zawiah; Nukman, Yusoff; Aoyama, Hideki; Case, Keith

    2015-01-01

    Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve the productivity and flexibility in manufacturing. The aim of this study is to present an integrated approach for decision-making in machine tool selection. This paper is focused on the integration of a consistent fuzzy AHP (Analytic Hierarchy Process) and a fuzzy COmplex PRoportional ASsessment (COPRAS) for multi-attribute decision-making in selecting the most suitable machine tool. In this method, the fuzzy linguistic reference relation is integrated into AHP to handle the imprecise and vague information, and to simplify the data collection for the pair-wise comparison matrix of the AHP which determines the weights of attributes. The output of the fuzzy AHP is imported into the fuzzy COPRAS method for ranking alternatives through the closeness coefficient. Presentation of the proposed model application is provided by a numerical example based on the collection of data by questionnaire and from the literature. The results highlight the integration of the improved fuzzy AHP and the fuzzy COPRAS as a precise tool and provide effective multi-attribute decision-making for evaluating the machine tool in the uncertain environment. PMID:26368541

  1. Fuzzy control of bioprocess in Japan.

    PubMed

    Honda, H; Kobayashi, T

    2000-01-01

    Process control of bioprocess has been carried out by the judgment of the experts, who are the skilled operators and have lots of experiences for the control of the process. In almost all cases, those experiences are described linguistic IF-THEN rules. Fussy inference is one of the powerful tools to incorporate the linguistic rules to the computer for process control. Fuzzy control are divided into two types; one is the direct fuzzy control of process variables such as sugar feed rate in fed-batch culture and fermentation temperature in batch operation. The other is the indirect control of bioprocess, in which at first the phase recognition is carried out by fuzzy inference and the control strategies constructed in each phase are used for the control of process variables. In Japan, the fuzzy control has already been applied to practical industrial productions, such as pravastatin precursor, vitamin B2, and Japanese sake mashing process. In this review, these industrial approaches of fuzzy control are introduced.

  2. Fuzzy logic control of telerobot manipulators

    NASA Technical Reports Server (NTRS)

    Franke, Ernest A.; Nedungadi, Ashok

    1992-01-01

    Telerobot systems for advanced applications will require manipulators with redundant 'degrees of freedom' (DOF) that are capable of adapting manipulator configurations to avoid obstacles while achieving the user specified goal. Conventional methods for control of manipulators (based on solution of the inverse kinematics) cannot be easily extended to these situations. Fuzzy logic control offers a possible solution to these needs. A current research program at SRI developed a fuzzy logic controller for a redundant, 4 DOF, planar manipulator. The manipulator end point trajectory can be specified by either a computer program (robot mode) or by manual input (teleoperator). The approach used expresses end-point error and the location of manipulator joints as fuzzy variables. Joint motions are determined by a fuzzy rule set without requiring solution of the inverse kinematics. Additional rules for sensor data, obstacle avoidance and preferred manipulator configuration, e.g., 'righty' or 'lefty', are easily accommodated. The procedure used to generate the fuzzy rules can be extended to higher DOF systems.

  3. Decentralized fuzzy control of multiple nonholonomic vehicles

    SciTech Connect

    Driessen, B.J.; Feddema, J.T.; Kwok, K.S.

    1997-09-01

    This work considers the problem of controlling multiple nonholonomic vehicles so that they converge to a scent source without colliding with each other. Since the control is to be implemented on simple 8-bit microcontrollers, fuzzy control rules are used to simplify a linear quadratic regulator control design. The inputs to the fuzzy controllers for each vehicle are the (noisy) direction to the source, the distance to the closest neighbor vehicle, and the direction to the closest vehicle. These directions are discretized into four values: Forward, Behind, Left, and Right, and the distance into three values: Near, Far, Gone. The values of the control at these discrete values are obtained based on the collision-avoidance repulsive forces and the change of variables that reduces the motion control problem of each nonholonomic vehicle to a nonsingular one with two degrees of freedom, instead of three. A fuzzy inference system is used to obtain control values for inputs between the small number of discrete input values. Simulation results are provided which demonstrate that the fuzzy control law performs well compared to the exact controller. In fact, the fuzzy controller demonstrates improved robustness to noise.

  4. Fuzzy control of bioprocess in Japan.

    PubMed

    Honda, H; Kobayashi, T

    2000-01-01

    Process control of bioprocess has been carried out by the judgment of the experts, who are the skilled operators and have lots of experiences for the control of the process. In almost all cases, those experiences are described linguistic IF-THEN rules. Fussy inference is one of the powerful tools to incorporate the linguistic rules to the computer for process control. Fuzzy control are divided into two types; one is the direct fuzzy control of process variables such as sugar feed rate in fed-batch culture and fermentation temperature in batch operation. The other is the indirect control of bioprocess, in which at first the phase recognition is carried out by fuzzy inference and the control strategies constructed in each phase are used for the control of process variables. In Japan, the fuzzy control has already been applied to practical industrial productions, such as pravastatin precursor, vitamin B2, and Japanese sake mashing process. In this review, these industrial approaches of fuzzy control are introduced. PMID:10874995

  5. Objective Probability and Quantum Fuzziness

    NASA Astrophysics Data System (ADS)

    Mohrhoff, U.

    2009-02-01

    This paper offers a critique of the Bayesian interpretation of quantum mechanics with particular focus on a paper by Caves, Fuchs, and Schack containing a critique of the “objective preparations view” or OPV. It also aims to carry the discussion beyond the hardened positions of Bayesians and proponents of the OPV. Several claims made by Caves et al. are rebutted, including the claim that different pure states may legitimately be assigned to the same system at the same time, and the claim that the quantum nature of a preparation device cannot legitimately be ignored. Both Bayesians and proponents of the OPV regard the time dependence of a quantum state as the continuous dependence on time of an evolving state of some kind. This leads to a false dilemma: quantum states are either objective states of nature or subjective states of belief. In reality they are neither. The present paper views the aforesaid dependence as a dependence on the time of the measurement to whose possible outcomes the quantum state serves to assign probabilities. This makes it possible to recognize the full implications of the only testable feature of the theory, viz., the probabilities it assigns to measurement outcomes. Most important among these are the objective fuzziness of all relative positions and momenta and the consequent incomplete spatiotemporal differentiation of the physical world. The latter makes it possible to draw a clear distinction between the macroscopic and the microscopic. This in turn makes it possible to understand the special status of measurements in all standard formulations of the theory. Whereas Bayesians have written contemptuously about the “folly” of conjoining “objective” to “probability,” there are various reasons why quantum-mechanical probabilities can be considered objective, not least the fact that they are needed to quantify an objective fuzziness. But this cannot be appreciated without giving thought to the makeup of the world, which

  6. EDITORIAL: Micromechanics. Selected papers from the 5th International Conference on Multiscale Materials Modeling (Freiburg, Germany, 4-8 October 2010) Micromechanics. Selected papers from the 5th International Conference on Multiscale Materials Modeling (Freiburg, Germany, 4-8 October 2010)

    NASA Astrophysics Data System (ADS)

    Van der Giessen, E.; Geers, M.; Li, J.

    2011-10-01

    This special issue contains a selection of papers presented at the Micromechanics minisymposium within the 5th Multiscale Materials Modeling (MMM2010) Conference held in Freiburg, Germany, 4-8 October 2010. Being selected from this minisymposium, all papers deal primarily with mechanical properties but sometimes coupled to other physical phenomena. In line with the scope of the MMM conference series, these selected papers reflect the state-of-the-art in a wide range of multiscale simulation techniques including molecular dynamics and dislocation dynamics up to enhanced finite element methods and phase field modeling for continuous solids. A wide variety of materials is addressed, including polymers, nano-structured as well as multiphase metals up to ferroelectric ceramics. Another way of clustering the papers in this issue is by the kind of phenomena being studied: plasticity or fracture. The first six papers deal with plasticity in crystalline metals and address two central issues: (i) how do the carriers of plastic deformation, i.e. dislocations, interact with other elements of the microstructure, and (ii) what are the origins of plasticity size effects? The papers by Brandl et al and by Shi et al not only show the importance of grain boundaries and other interfaces, but the latter is also one of the first studies where dislocation motion is coupled to phase transitions in parts of the microstructure. These papers, but even more so the single crystal studies by Senger et al, also highlight the importance of the initial dislocation structure. Hudzinskyy and Lyulin show that a similar dependence of the initial structure in amorphous polymers is responsible for its peculiar inelastic response. The innovative method to simulate damage-induced localization presented by Coenen et al forms a bridge to the fracture studies that close this issue. Both these papers continue on the theme of microstructural effects, while the last one by Ambollahi et al closes the loop to

  7. A fuzzy logic approach to modeling a vehicle crash test

    NASA Astrophysics Data System (ADS)

    Pawlus, Witold; Karimi, Hamid; Robbersmyr, Kjell

    2013-03-01

    This paper presents an application of fuzzy approach to vehicle crash modeling. A typical vehicle to pole collision is described and kinematics of a car involved in this type of crash event is thoroughly characterized. The basics of fuzzy set theory and modeling principles based on fuzzy logic approach are presented. In particular, exceptional attention is paid to explain the methodology of creation of a fuzzy model of a vehicle collision. Furthermore, the simulation results are presented and compared to the original vehicle's kinematics. It is concluded which factors have influence on the accuracy of the fuzzy model's output and how they can be adjusted to improve the model's fidelity.

  8. A framework of fuzzy hybrid systems for modelling and control

    NASA Astrophysics Data System (ADS)

    Cheng, Shu; Dong, Ruijun; Pedrycz, Witold

    2010-02-01

    This paper presents a new approach to modelling and control of hybrid systems with both continuous variables and discrete events. Applying the fuzzy set theory, a hierarchical fuzzy hybrid structure consisting of a fuzzy discrete event dynamic system and a continuous variable dynamic system is constructed, which not only captures the hybrid continuous/discrete dynamics but also handles the uncertainties in states and state transitions. The identification of continuous and discrete components is developed, and the hybrid control is then synthesised by fuzzy IF-THEN rules embedded in the fuzzy interface. An example of the optimisation of a production line in manufacturing shows the efficacy of the proposed approach.

  9. Learning fuzzy information in a hybrid connectionist, symbolic model

    NASA Technical Reports Server (NTRS)

    Romaniuk, Steve G.; Hall, Lawrence O.

    1993-01-01

    An instance-based learning system is presented. SC-net is a fuzzy hybrid connectionist, symbolic learning system. It remembers some examples and makes groups of examples into exemplars. All real-valued attributes are represented as fuzzy sets. The network representation and learning method is described. To illustrate this approach to learning in fuzzy domains, an example of segmenting magnetic resonance images of the brain is discussed. Clearly, the boundaries between human tissues are ill-defined or fuzzy. Example fuzzy rules for recognition are generated. Segmentations are presented that provide results that radiologists find useful.

  10. The simplification of fuzzy control algorithm and hardware implementation

    NASA Technical Reports Server (NTRS)

    Wu, Z. Q.; Wang, P. Z.; Teh, H. H.

    1991-01-01

    The conventional interface composition algorithm of a fuzzy controller is very time and memory consuming. As a result, it is difficult to do real time fuzzy inference, and most fuzzy controllers are realized by look-up tables. Here, researchers derive a simplified algorithm using the defuzzification mean of maximum. This algorithm takes shorter computation time and needs less memory usage, thus making it possible to compute the fuzzy inference on real time and easy to tune the control rules on line. A hardware implementation based on a simplified fuzzy inference algorithm is described.

  11. Fuzzy logic in autonomous orbital operations

    NASA Technical Reports Server (NTRS)

    Lea, Robert N.; Jani, Yashvant

    1991-01-01

    Fuzzy logic can be used advantageously in autonomous orbital operations that require the capability of handling imprecise measurements from sensors. Several applications are underway to investigate fuzzy logic approaches and develop guidance and control algorithms for autonomous orbital operations. Translational as well as rotational control of a spacecraft have been demonstrated using space shuttle simulations. An approach to a camera tracking system has been developed to support proximity operations and traffic management around the Space Station Freedom. Pattern recognition and object identification algorithms currently under development will become part of this camera system at an appropriate level in the future. A concept to control environment and life support systems for large Lunar based crew quarters is also under development. Investigations in the area of reinforcement learning, utilizing neural networks, combined with a fuzzy logic controller, are planned as a joint project with the Ames Research Center.

  12. Diagnosing Parkinson's Diseases Using Fuzzy Neural System

    PubMed Central

    Abiyev, Rahib H.; Abizade, Sanan

    2016-01-01

    This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The structure and learning algorithms of the proposed fuzzy neural system (FNS) are presented. The approach described in this paper allows enhancing the capability of the designed system and efficiently distinguishing healthy individuals. It was proved through simulation of the system that has been performed using data obtained from UCI machine learning repository. A comparative study was carried out and the simulation results demonstrated that the proposed fuzzy neural system improves the recognition rate of the designed system. PMID:26881009

  13. Neurocontrol and fuzzy logic: Connections and designs

    NASA Technical Reports Server (NTRS)

    Werbos, Paul J.

    1991-01-01

    Artificial neural networks (ANNs) and fuzzy logic are complementary technologies. ANNs extract information from systems to be learned or controlled, while fuzzy techniques mainly use verbal information from experts. Ideally, both sources of information should be combined. For example, one can learn rules in a hybrid fashion, and then calibrate them for better whole-system performance. ANNs offer universal approximation theorems, pedagogical advantages, very high-throughput hardware, and links to neurophysiology. Neurocontrol - the use of ANNs to directly control motors or actuators, etc. - uses five generalized designs, related to control theory, which can work on fuzzy logic systems as well as ANNs. These designs can copy what experts do instead of what they say, learn to track trajectories, generalize adaptive control, and maximize performance or minimize cost over time, even in noisy environments. Design tradeoffs and future directions are discussed throughout.

  14. Comments on some theories of fuzzy computation

    NASA Astrophysics Data System (ADS)

    Gerla, Giangiacomo

    2016-05-01

    In classical computability theory, there are several (equivalent) definitions of computable function, decidable subset and semi-decidable subset. This paper is devoted to the discussion of some proposals for extending these definitions to the framework of fuzzy set theory. The paper mainly focuses on the notions of fuzzy Turing machine and fuzzy computability by limit processes. The basic idea of this paper is that the presence of real numbers in the interval [0,1] forces us to refer to endless approximation processes (as in recursive analysis) and not to processes terminating after a finite number of steps and giving the exact output (as in recursive arithmetic). In accordance with such a point of view, an extension of the famous Church thesis is proposed.

  15. Fuzzy architecture assessment for critical infrastructure resilience

    SciTech Connect

    Muller, George

    2012-12-01

    This paper presents an approach for the selection of alternative architectures in a connected infrastructure system to increase resilience of the overall infrastructure system. The paper begins with a description of resilience and critical infrastructure, then summarizes existing approaches to resilience, and presents a fuzzy-rule based method of selecting among alternative infrastructure architectures. This methodology includes considerations which are most important when deciding on an approach to resilience. The paper concludes with a proposed approach which builds on existing resilience architecting methods by integrating key system aspects using fuzzy memberships and fuzzy rule sets. This novel approach aids the systems architect in considering resilience for the evaluation of architectures for adoption into the final system architecture.

  16. Robust fuzzy logic stabilization with disturbance elimination.

    PubMed

    Danapalasingam, Kumeresan A

    2014-01-01

    A robust fuzzy logic controller is proposed for stabilization and disturbance rejection in nonlinear control systems of a particular type. The dynamic feedback controller is designed as a combination of a control law that compensates for nonlinear terms in a control system and a dynamic fuzzy logic controller that addresses unknown model uncertainties and an unmeasured disturbance. Since it is challenging to derive a highly accurate mathematical model, the proposed controller requires only nominal functions of a control system. In this paper, a mathematical derivation is carried out to prove that the controller is able to achieve asymptotic stability by processing state measurements. Robustness here refers to the ability of the controller to asymptotically steer the state vector towards the origin in the presence of model uncertainties and a disturbance input. Simulation results of the robust fuzzy logic controller application in a magnetic levitation system demonstrate the feasibility of the control design. PMID:25177713

  17. Robust Fuzzy Logic Stabilization with Disturbance Elimination

    PubMed Central

    Danapalasingam, Kumeresan A.

    2014-01-01

    A robust fuzzy logic controller is proposed for stabilization and disturbance rejection in nonlinear control systems of a particular type. The dynamic feedback controller is designed as a combination of a control law that compensates for nonlinear terms in a control system and a dynamic fuzzy logic controller that addresses unknown model uncertainties and an unmeasured disturbance. Since it is challenging to derive a highly accurate mathematical model, the proposed controller requires only nominal functions of a control system. In this paper, a mathematical derivation is carried out to prove that the controller is able to achieve asymptotic stability by processing state measurements. Robustness here refers to the ability of the controller to asymptotically steer the state vector towards the origin in the presence of model uncertainties and a disturbance input. Simulation results of the robust fuzzy logic controller application in a magnetic levitation system demonstrate the feasibility of the control design. PMID:25177713

  18. Robust fuzzy logic stabilization with disturbance elimination.

    PubMed

    Danapalasingam, Kumeresan A

    2014-01-01

    A robust fuzzy logic controller is proposed for stabilization and disturbance rejection in nonlinear control systems of a particular type. The dynamic feedback controller is designed as a combination of a control law that compensates for nonlinear terms in a control system and a dynamic fuzzy logic controller that addresses unknown model uncertainties and an unmeasured disturbance. Since it is challenging to derive a highly accurate mathematical model, the proposed controller requires only nominal functions of a control system. In this paper, a mathematical derivation is carried out to prove that the controller is able to achieve asymptotic stability by processing state measurements. Robustness here refers to the ability of the controller to asymptotically steer the state vector towards the origin in the presence of model uncertainties and a disturbance input. Simulation results of the robust fuzzy logic controller application in a magnetic levitation system demonstrate the feasibility of the control design.

  19. Fuzzy efficiency optimization of AC induction motors

    NASA Technical Reports Server (NTRS)

    Jani, Yashvant; Sousa, Gilberto; Turner, Wayne; Spiegel, Ron; Chappell, Jeff

    1993-01-01

    This paper describes the early states of work to implement a fuzzy logic controller to optimize the efficiency of AC induction motor/adjustable speed drive (ASD) systems running at less than optimal speed and torque conditions. In this paper, the process by which the membership functions of the controller were tuned is discussed and a controller which operates on frequency as well as voltage is proposed. The membership functions for this dual-variable controller are sketched. Additional topics include an approach for fuzzy logic to motor current control which can be used with vector-controlled drives. Incorporation of a fuzzy controller as an application-specific integrated circuit (ASIC) microchip is planned.

  20. Hesitant fuzzy agglomerative hierarchical clustering algorithms

    NASA Astrophysics Data System (ADS)

    Zhang, Xiaolu; Xu, Zeshui

    2015-02-01

    Recently, hesitant fuzzy sets (HFSs) have been studied by many researchers as a powerful tool to describe and deal with uncertain data, but relatively, very few studies focus on the clustering analysis of HFSs. In this paper, we propose a novel hesitant fuzzy agglomerative hierarchical clustering algorithm for HFSs. The algorithm considers each of the given HFSs as a unique cluster in the first stage, and then compares each pair of the HFSs by utilising the weighted Hamming distance or the weighted Euclidean distance. The two clusters with smaller distance are jointed. The procedure is then repeated time and again until the desirable number of clusters is achieved. Moreover, we extend the algorithm to cluster the interval-valued hesitant fuzzy sets, and finally illustrate the effectiveness of our clustering algorithms by experimental results.

  1. On the inability of magnetically constricted transition regions to account for the 10 to the 5th to 10 to the 6th K plasma in the quiet solar atmosphere

    NASA Technical Reports Server (NTRS)

    Dowdy, James F., Jr.; Moore, Ronald L.; Emslie, A. Gordon

    1987-01-01

    Static models of the plasma in the quiet solar atmosphere incorporating not only conduction and radiation but also the effects of large magnetic constrictions are examined. It is found that the bulk of the solar plasma at temperatures below 7 x 10 to the 5th K cannot be produced by a conductive transition region when it is modeled by flux tubes with constriction compatible with observations. The present findings suggest that the major portion of the UEV plasma may be maintained in an ensemble of small, individual magnetic loops located within the supergranular network and having peak temperatures ranging from chromospheric to coronal values.

  2. Short Term Load Forecasting with Fuzzy Logic Systems for power system planning and reliability-A Review

    NASA Astrophysics Data System (ADS)

    Holmukhe, R. M.; Dhumale, Mrs. Sunita; Chaudhari, Mr. P. S.; Kulkarni, Mr. P. P.

    2010-10-01

    Load forecasting is very essential to the operation of Electricity companies. It enhances the energy efficient and reliable operation of power system. Forecasting of load demand data forms an important component in planning generation schedules in a power system. The purpose of this paper is to identify issues and better method for load foecasting. In this paper we focus on fuzzy logic system based short term load forecasting. It serves as overview of the state of the art in the intelligent techniques employed for load forecasting in power system planning and reliability. Literature review has been conducted and fuzzy logic method has been summarized to highlight advantages and disadvantages of this technique. The proposed technique for implementing fuzzy logic based forecasting is by Identification of the specific day and by using maximum and minimum temperature for that day and finally listing the maximum temperature and peak load for that day. The results show that Load forecasting where there are considerable changes in temperature parameter is better dealt with Fuzzy Logic system method as compared to other short term forecasting techniques.

  3. Edge Preserved Speckle Noise Reduction Using Integrated Fuzzy Filters.

    PubMed

    Biradar, Nagashettappa; Dewal, M L; Rohit, Manoj Kumar

    2014-01-01

    Echocardiographic images are inherent with speckle noise which makes visual reading and analysis quite difficult. The multiplicative speckle noise masks finer details, necessary for diagnosis of abnormalities. A novel speckle reduction technique based on integration of geometric, wiener, and fuzzy filters is proposed and analyzed in this paper. The denoising applications of fuzzy filters are studied and analyzed along with 26 denoising techniques. It is observed that geometric filter retains noise and, to address this issue, wiener filter is embedded into the geometric filter during iteration process. The performance of geometric-wiener filter is further enhanced using fuzzy filters and the proposed despeckling techniques are called integrated fuzzy filters. Fuzzy filters based on moving average and median value are employed in the integrated fuzzy filters. The performances of integrated fuzzy filters are tested on echocardiographic images and synthetic images in terms of image quality metrics. It is observed that the performance parameters are highest in case of integrated fuzzy filters in comparison to fuzzy and geometric-fuzzy filters. The clinical validation reveals that the output images obtained using geometric-wiener, integrated fuzzy, nonlocal means, and details preserving anisotropic diffusion filters are acceptable. The necessary finer details are retained in the denoised echocardiographic images.

  4. Fuzzy Logic and Its Application in Football Team Ranking

    PubMed Central

    Li, Junhong

    2014-01-01

    Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in physical education for tasks such as the selection for athletes, the evaluation for different training approaches, the team ranking, and the real-time monitoring of sports data. In this paper, we use fuzzy set theory and apply fuzzy clustering analysis in football team ranking. Based on some certain rules, we propose four parameters to calculate fuzzy similar matrix, obtain fuzzy equivalence matrix and the ranking result for our numerical example, T7, T3, T1, T9, T10, T8, T11, T12, T2, T6, T5, T4, and investigate four parameters sensitivity analysis. The study shows that our fuzzy logic method is reliable and stable when the parameters change in certain range. PMID:25032227

  5. Fuzzy logic and its application in football team ranking.

    PubMed

    Zeng, Wenyi; Li, Junhong

    2014-01-01

    Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in physical education for tasks such as the selection for athletes, the evaluation for different training approaches, the team ranking, and the real-time monitoring of sports data. In this paper, we use fuzzy set theory and apply fuzzy clustering analysis in football team ranking. Based on some certain rules, we propose four parameters to calculate fuzzy similar matrix, obtain fuzzy equivalence matrix and the ranking result for our numerical example, T 7, T 3, T 1, T 9, T 10, T 8, T 11, T 12, T 2, T 6, T 5, T 4, and investigate four parameters sensitivity analysis. The study shows that our fuzzy logic method is reliable and stable when the parameters change in certain range.

  6. Palmprint based multidimensional fuzzy vault scheme.

    PubMed

    Liu, Hailun; Sun, Dongmei; Xiong, Ke; Qiu, Zhengding

    2014-01-01

    Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security. PMID:24892094

  7. Signal trend identification with fuzzy methods.

    SciTech Connect

    Reifman, J.; Tsoukalas, L. H.; Wang, X.; Wei, T. Y. C.

    1999-08-19

    A fuzzy-logic-based methodology for on-line signal trend identification is introduced. Although signal trend identification is complicated by the presence of noise, fuzzy logic can help capture important features of on-line signals and classify incoming power plant signals into increasing, decreasing and steady-state trend categories. In order to verify the methodology, a code named PROTREN is developed and tested using plant data. The results indicate that the code is capable of detecting transients accurately, identifying trends reliably, and not misinterpreting a steady-state signal as a transient one.

  8. Portfolio optimization using fuzzy linear programming

    NASA Astrophysics Data System (ADS)

    Pandit, Purnima K.

    2013-09-01

    Portfolio Optimization (PO) is a problem in Finance, in which investor tries to maximize return and minimize risk by carefully choosing different assets. Expected return and risk are the most important parameters with regard to optimal portfolios. In the simple form PO can be modeled as quadratic programming problem which can be put into equivalent linear form. PO problems with the fuzzy parameters can be solved as multi-objective fuzzy linear programming problem. In this paper we give the solution to such problems with an illustrative example.

  9. Image segmentation using fuzzy LVQ clustering networks

    NASA Technical Reports Server (NTRS)

    Tsao, Eric Chen-Kuo; Bezdek, James C.; Pal, Nikhil R.

    1992-01-01

    In this note we formulate image segmentation as a clustering problem. Feature vectors extracted from a raw image are clustered into subregions, thereby segmenting the image. A fuzzy generalization of a Kohonen learning vector quantization (LVQ) which integrates the Fuzzy c-Means (FCM) model with the learning rate and updating strategies of the LVQ is used for this task. This network, which segments images in an unsupervised manner, is thus related to the FCM optimization problem. Numerical examples on photographic and magnetic resonance images are given to illustrate this approach to image segmentation.

  10. Fuzzy Behavior-Based Navigation for Planetary

    NASA Technical Reports Server (NTRS)

    Tunstel, Edward; Danny, Harrison; Lippincott, Tanya; Jamshidi, Mo

    1997-01-01

    Adaptive behavioral capabilities are necessary for robust rover navigation in unstructured and partially-mapped environments. A control approach is described which exploits the approximate reasoning capability of fuzzy logic to produce adaptive motion behavior. In particular, a behavior-based architecture for hierarchical fuzzy control of microrovers is presented. Its structure is described, as well as mechanisms of control decision-making which give rise to adaptive behavior. Control decisions for local navigation result from a consensus of recommendations offered only by behaviors that are applicable to current situations. Simulation predicts the navigation performance on a microrover in simplified Mars-analog terrain.

  11. Open Day at SHMI.

    NASA Astrophysics Data System (ADS)

    Jarosova, M.

    2010-09-01

    During the World Meteorological Day there has been preparing "Open Day" at Slovak Hydrometeorological Institute. This event has more than 10 years traditions. "Open Day" is one of a lot of possibilities to give more information about meteorology, climatology, hydrology too to public. This "Day" is executed in whole Slovakia. People can visit the laboratories, the forecasting room....and meteo and clima measuring points. The most popular is visiting forecasting room. Visitors are interested in e.g. climatologic change in Slovakia territory, preparing weather forecasting, dangerous phenomena.... Every year we have more than 500 visitors.

  12. ­Dynamic interactions between the October 28th 2012 Haida Gwaii and January 5th 2013 Craig earthquakes and other faults in Southeast Alaska

    NASA Astrophysics Data System (ADS)

    Walter, J. I.; Kao, H.; Meng, X.; Peng, Z.; Hobbs, T. E.; Dotray, P.; Newman, A. V.; Mulder, T.

    2015-12-01

    The Mw 7.8 (28 October 2012) Haida Gwaii earthquake and the Mw 7.5 (5 January 2013) Craig, Alaska earthquake occurred just 400 km and 68 days apart from each other. The short duration and distance between the events poses the question of whether these two events are related. We combine existing seismic data from permanent networks in Alaska and Canada, including temporary aftershock deployments (both on land and ocean-bottom sensors) installed in the Haida Gwaii islands, to search for precursory activity prior to each of the events. In order to improve the catalog completeness, we utilize a matched-filter technique to identify potential missing earthquakes before and after each mainshock. This technique utilizes existing cataloged waveforms as templates to identify repeating or nearby earthquakes with high cross-correlations. We examine the seismic activity prior to and following each event and determine whether any dynamic or delayed triggering of earthquakes or tremor occurs regionally due to these earthquakes. We find small earthquakes on the Fairweather Fault, near Glacier Bay, directly triggered in the minutes after the Haida Gwaii event. In addition, preliminary evidence suggests the Haida Gwaii earthquake triggered some seismicity in the rupture region of the Craig earthquake over the ~2 month period of time between the mainshocks. We plan to assess whether the later-occurring Craig earthquake triggered any increase in aftershock activity within the Haida Gwaii rupture region. The static and dynamic transmission of stresses from large earthquakes has important implications for transient fault zone loading in areas adjacent to those initial rupture zones. This study should shed some light on large earthquake interactions at various distance scales and future seismic risks across Alaska and western Canada.

  13. The cognitive bases for the design of a new class of fuzzy logic controllers: The clearness transformation fuzzy logic controller

    NASA Technical Reports Server (NTRS)

    Sultan, Labib; Janabi, Talib

    1992-01-01

    This paper analyses the internal operation of fuzzy logic controllers as referenced to the human cognitive tasks of control and decision making. Two goals are targeted. The first goal focuses on the cognitive interpretation of the mechanisms employed in the current design of fuzzy logic controllers. This analysis helps to create a ground to explore the potential of enhancing the functional intelligence of fuzzy controllers. The second goal is to outline the features of a new class of fuzzy controllers, the Clearness Transformation Fuzzy Logic Controller (CT-FLC), whereby some new concepts are advanced to qualify fuzzy controllers as 'cognitive devices' rather than 'expert system devices'. The operation of the CT-FLC, as a fuzzy pattern processing controller, is explored, simulated, and evaluated.

  14. EDITORIAL: Artificial Muscles: Selected papers from the 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio (Osaka, Japan, 25-27 November 2009) Artificial Muscles: Selected papers from the 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio (Osaka, Japan, 25-27 November 2009)

    NASA Astrophysics Data System (ADS)

    Shahinpoor, Mohsen

    2011-12-01

    The 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio and the 4th International Conference on Artificial Muscles were held in Osaka, Japan, 23-27 November 2009. This special section of Smart Materials and Structures is devoted to a selected number of research papers presented at this international conference and congress. Of the 76 or so papers presented at the conference, only 10 papers were finally selected, reviewed and accepted for this special section, following the regular reviewing procedures of the journal. This special section is focused on polymeric artificial muscles, electroactive polymers, multifunctional nanocomposites and their applications. In particular, an electromechanical model for self-sensing ionic polymer-metal composite actuating devices with patterned surface electrodes is presented which discusses the concept of creating self-sensing ionic polymer-metal composite (IPMC) actuating devices with patterned surface electrodes where actuator and sensor elements are separated by a grounded shielding electrode. Eventually, an electromechanical model of the device is also proposed and validated. Following that, there is broad coverage of polytetrahydrofurane-polyethylene oxide-PEDOT conducting interpenetrating polymer networks (IPNs) for high speed actuators. The conducting polymer (poly(3,4-ethylenedioxythiophene)) is incorporated within the IPNs, which are synthesized from polyethylene oxide (PEO)/polytetrahydrofurane (PTHF) networks. PEO/PTHF IPNs are prepared using poly(ethylene glycol) methacrylate and dimethacrylate and hydroxythelechelic PTHF as starting materials. The conducting IPN actuators are prepared by oxidative polymerization of 3,4-ethylenedioxithiophene (EDOT) using FeCl3 as an oxidizing agent within the PEO/PTHF IPN host matrix. Subsequently, giant and reversible magnetorheology of carrageenan/iron oxide magnetic gels are discussed and the effect of magnetic fields on the viscoelastic properties

  15. Rainy Day Activities.

    ERIC Educational Resources Information Center

    Texas Child Care, 1997

    1997-01-01

    Experienced caregivers plan ahead for rainy days. This article describes specific rainy day activities for young children, such as books and crafts to learn about rain (rain in a jar, making a rainbow), simple cooking activities (taffy pull, cinnamon candy tea), and games (mummy wrap, hunt the thimble, rain lotto). (EV)

  16. RED-LETTER DAYS

    EPA Science Inventory

    The word "red-letter" is an adjective meaning "of special significance." It's origin is from the practice of marking Christian holy days in red letters on calendars. The "red-letter days" to which I refer occurred while I was a graduate student of ...

  17. The Presidents' Day Game

    ERIC Educational Resources Information Center

    Maxwell, D. Jackson

    2008-01-01

    The history behind the holiday commonly called "Presidents' Day" is a bit confusing. It started as a federal holiday called Washington's Birthday. It was a day set aside to honor George Washington for his accomplishments as a founding father of the country. Later, many northern states began to recognize Abraham Lincoln's Birthday as well for his…

  18. Science Challenge Day

    ERIC Educational Resources Information Center

    Siegel, Deborah

    2013-01-01

    Science fairs can be good motivators, but as extracurricular activities, they leave some students behind. However, by staging a Science Challenge Day at school, educators can involve all students in doing everything from choosing activities to judging projects. This article presents a model for running a successful Science Challenge Day. The…

  19. School Building Day, 2001.

    ERIC Educational Resources Information Center

    Council of Educational Facility Planners, International, Scottsdale, AZ.

    This document presents information and development materials about "School Building Day" (an event spotlighting the school facility and developing support and pride in the community's schools) to help local school districts conduct their own "School Building Day" to be held on April 20th of 2001. Included are lists of suggested activities and…

  20. My Lucky Day

    ERIC Educational Resources Information Center

    Olvey, Maura

    2010-01-01

    Teaching based on problem solving brings challenges for the teacher, primarily that of finding problems with multiple access points that accommodate all students. This article narrates the author's lucky day as she discovers the Four fours problem which impacted her passion for teaching math. The day she presented the Four fours problem to her…

  1. Day of the Dead

    ERIC Educational Resources Information Center

    Dann, Tammy; Murphy, Amy

    2012-01-01

    Foreign Language in Elementary School (FLES) teachers in the West Des Moines schools incorporate the Day of the Dead into the fourth grade curriculum each year. The teachers discuss the Day of the Dead celebration at the Art Center, and many ask for volunteers from fourth grade to participate in the event. Student presentations include a wide…

  2. Family Science Day

    ERIC Educational Resources Information Center

    McCubbins, Sara; Thomas, Bethany; Vetere, Michael

    2014-01-01

    This article describes a family-friendly science day event that encourages scientific discovery through hands-on activities, while also providing an opportunity to learn about scientific careers from actual research scientists and science educators, thereby raising awareness of the importance of STEM in our society. The one-day event bought…

  3. Day Care Personnel Management.

    ERIC Educational Resources Information Center

    Levi Strauss Foundation, Inc., San Francisco, CA.

    The information presented in this guide focuses on the knowledge, skills, values, and attitudes needed for effective personnel management in day care settings. Information included in this publication came from the suggestions of day care directors who participated in Training for Child Care Project workshops on administration, as well as from…

  4. Popular Chat Day Q & A

    MedlinePlus

    ... Day / Popular Chat Day Q & A Popular Chat Day Q & A Print Read students’ most popular questions ... Cool Order Free Materials National Drugs & Alcohol Chat Day Chat Day Participant FAQs Popular Chat Day Q & ...

  5. Low-loss, flat-topped and spectrally uniform silicon-nanowire-based 5th-order CROW fabricated by ArF-immersion lithography process on a 300-mm SOI wafer.

    PubMed

    Jeong, Seok-Hwan; Shimura, Daisuke; Simoyama, Takasi; Seki, Miyoshi; Yokoyama, Nobuyuki; Ohtsuka, Minoru; Koshino, Keiji; Horikawa, Tsuyoshi; Tanaka, Yu; Morito, Ken

    2013-12-16

    We report superior spectral characteristics of silicon-nanowire-based 5th-order coupled resonator optical waveguides (CROW) fabricated by 193-nm ArF-immersion lithography process on a 300-mm silicon-on-insulator wafer. We theoretically analyze spectral characteristics, considering random phase errors caused by micro fabrication process. It will be experimentally demonstrated that the fabricated devices exhibit a low excess loss of 0.4 ± 0.2 dB, a high out-of-band rejection ratio of >40dB, and a wide flatband width of ~2 nm. Furthermore, we evaluate manufacturing tolerances for intra-dies and inter-dies, comparing with the cases for 248-nm KrF-dry lithography process. It will be shown that the 193-nm ArF-immersion lithography process can provide much less excess phase errors of Si-nanowire waveguides, thus enabling to give better filter spectral characteristics. Finally, spectral superiorities will be reconfirmed by measuring 25 Gbps modulated signals launched into the fabricated device. Clear eye diagrams are observed when the wavelengths of modulated signals are stayed within almost passband of the 5th-order CROW.

  6. Information Clustering Based on Fuzzy Multisets.

    ERIC Educational Resources Information Center

    Miyamoto, Sadaaki

    2003-01-01

    Proposes a fuzzy multiset model for information clustering with application to information retrieval on the World Wide Web. Highlights include search engines; term clustering; document clustering; algorithms for calculating cluster centers; theoretical properties concerning clustering algorithms; and examples to show how the algorithms work.…

  7. Fuzzy Functional Dependencies and Redundancy Elimination.

    ERIC Educational Resources Information Center

    Bosc, Patrick; Dubois, Didier; Prade, Henri

    1998-01-01

    For about 10 years, several proposals to deal with ill-known information in database management systems have been made, and extensions of the relational data model have been proposed. An overview of functional dependencies is provided, and the connection between fuzzy functional dependencies and database design is discussed. (AEF)

  8. Modeling Spatial Relationships within a Fuzzy Framework.

    ERIC Educational Resources Information Center

    Petry, Frederick E.; Cobb, Maria A.

    1998-01-01

    Presents a model for representing and storing binary topological and directional relationships between 2-dimensional objects that is used to provide a basis for fuzzy querying capabilities. A data structure called an abstract spatial graph (ASG) is defined for the binary relationships that maintains all necessary information regarding topology and…

  9. A Laboratory Testbed for Embedded Fuzzy Control

    ERIC Educational Resources Information Center

    Srivastava, S.; Sukumar, V.; Bhasin, P. S.; Arun Kumar, D.

    2011-01-01

    This paper presents a novel scheme called "Laboratory Testbed for Embedded Fuzzy Control of a Real Time Nonlinear System." The idea is based upon the fact that project-based learning motivates students to learn actively and to use their engineering skills acquired in their previous years of study. It also fosters initiative and focuses students'…

  10. Fuzzy modelling of Atlantic salmon physical habitat

    NASA Astrophysics Data System (ADS)

    St-Hilaire, André; Mocq, Julien; Cunjak, Richard

    2015-04-01

    Fish habitat models typically attempt to quantify the amount of available river habitat for a given fish species for various flow and hydraulic conditions. To achieve this, information on the preferred range of values of key physical habitat variables (e.g. water level, velocity, substrate diameter) for the targeted fishs pecies need to be modelled. In this context, we developed several habitat suitability indices sets for three Atlantic salmon life stages (young-of-the-year (YOY), parr, spawning adults) with the help of fuzzy logic modeling. Using the knowledge of twenty-seven experts, from both sides of the Atlantic Ocean, we defined fuzzy sets of four variables (depth, substrate size, velocity and Habitat Suitability Index, or HSI) and associated fuzzy rules. When applied to the Romaine River (Canada), median curves of standardized Weighted Usable Area (WUA) were calculated and a confidence interval was obtained by bootstrap resampling. Despite the large range of WUA covered by the expert WUA curves, confidence intervals were relatively narrow: an average width of 0.095 (on a scale of 0 to 1) for spawning habitat, 0.155 for parr rearing habitat and 0.160 for YOY rearing habitat. When considering an environmental flow value corresponding to 90% of the maximum reached by WUA curve, results seem acceptable for the Romaine River. Generally, this proposed fuzzy logic method seems suitable to model habitat availability for the three life stages, while also providing an estimate of uncertainty in salmon preferences.

  11. Adapted Fuzzy Controller for Astronomical Telescope Tracking

    NASA Astrophysics Data System (ADS)

    Attia, Abdel-Fattah

    2004-04-01

    This paper presents a novel application of fuzzy logic (FL) controller driven by an adaptive fuzzy set (AFS) for position tracking of the telescope driven by electric motor. Also, the proposed FL controller, driven by AFS, is compared with a classical FL control, driven by a static fuzzy set (SFS). Both FL controllers algorithm use the position error and its rate of change as an input vector. The mathematical model of the telescope driven by electric motor is highly nonlinear differential equations. Therefore the use of the artificial intelligent controller, such as FL is much better than the conventional controller, to cover a wide range of operating conditions. So, the output of FL control is utilized to force the electric drives, of the telescope, to satisfy a perfect matching of the predefined desired position of the telescope arms. Both of FL controllers, using AFS and SFS, are simulated and tested when the system is subjected to a step change in reference value. In addition, these simulation results are compared with the conventional Proportional-Derivative (PD) controller, driven by fixed gain. The proposed FL, using an adaptive fuzzy set, improve the dynamic response of the overall system by improving the damping coefficient and decreasing the rise time and settling time compared with other two controllers.

  12. Fuzzy Control/Space Station automation

    NASA Technical Reports Server (NTRS)

    Gersh, Mark

    1990-01-01

    Viewgraphs on fuzzy control/space station automation are presented. Topics covered include: Space Station Freedom (SSF); SSF evolution; factors pointing to automation & robotics (A&R); astronaut office inputs concerning A&R; flight system automation and ground operations applications; transition definition program; and advanced automation software tools.

  13. Robust fuzzy mappings for QSAR studies.

    PubMed

    Kumar, Mohit; Thurow, Kerstin; Stoll, Norbert; Stoll, Regina

    2007-05-01

    This study presents a new robust method of developing quantitative structure-activity relationship (QSAR) models based on fuzzy mappings. An important issue in QSAR modelling is of robustness, i.e., model should not undergo overtraining and model performance should be least sensitive to the modelling errors associated with the chosen descriptors and structure of the model. We establish robust input-output mappings for QSAR studies based on fuzzy "if-then" rules. The identification of these mappings (i.e. the construction of fuzzy rules) is based on a robust criterion that the maximum possible value of energy-gain from modelling errors to the identification errors is minimum. The robustness of proposed approach has been illustrated with simulation studies and QSAR modelling examples. The method of robust fuzzy mappings has been compared with Bayesian regularized neural networks through the QSAR modelling examples of (1) carboquinones' data set, (2) benzodiazepine data set, and (3) predicting the rate constant for hydroxyl radical tropospheric degradation of 460 heterogeneous organic compounds.

  14. Neuro-Fuzzy Phasing of Segmented Mirrors

    NASA Technical Reports Server (NTRS)

    Olivier, Philip D.

    1999-01-01

    A new phasing algorithm for segmented mirrors based on neuro-fuzzy techniques is described. A unique feature of this algorithm is the introduction of an observer bank. Its effectiveness is tested in a very simple model with remarkable success. The new algorithm requires much less computational effort than existing algorithms and therefore promises to be quite useful when implemented on more complex models.

  15. Revisiting separation properties of convex fuzzy sets

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Separation of convex sets by hyperplanes has been extensively studied on crisp sets. In a seminal paper separability and convexity are investigated, however there is a flaw on the definition of degree of separation. We revisited separation on convex fuzzy sets that have level-wise (crisp) disjointne...

  16. Fuzzy Cognitive Map Modelling Educational Software Adoption

    ERIC Educational Resources Information Center

    Hossain, Sarmin; Brooks, Laurence

    2008-01-01

    Educational software adoption across UK secondary schools is seen as unsatisfactory. Based on stakeholders' perceptions, this paper uses fuzzy cognitive maps (FCMs) to model this adoption context. It discusses the development of the FCM model, using a mixed-methods approach and drawing on participants from three UK secondary schools. The study…

  17. Fuzzy Set Theoretical Approach to Document Retrieval.

    ERIC Educational Resources Information Center

    Radecki, Tadeusz

    1979-01-01

    Presents a new method of document retrieval based on the fundamental operations of fuzzy set theory. Basic notions are introduced. Then the syntax and semantics of the proposed language for document retrieval is given, and an algorithm allocating documents to particular queries is described and its properties are discussed. (Author/CWM)

  18. Fuzzy decision trees: issues and methods.

    PubMed

    Janikow, C Z

    1998-01-01

    Decision trees are one of the most popular choices for learning and reasoning from feature-based examples. They have undergone a number of alterations to deal with language and measurement uncertainties. We present another modification, aimed at combining symbolic decision trees with approximate reasoning offered by fuzzy representation. The intent is to exploit complementary advantages of both: popularity in applications to learning from examples, high knowledge comprehensibility of decision trees, and the ability to deal with inexact and uncertain information of fuzzy representation. The merger utilizes existing methodologies in both areas to full advantage, but is by no means trivial. In particular, knowledge inferences must be newly defined for the fuzzy tree. We propose a number of alternatives, based on rule-based systems and fuzzy control. We also explore capabilities that the new framework provides. The resulting learning method is most suitable for stationary problems, with both numerical and symbolic features, when the goal is both high knowledge comprehensibility and gradually changing output. We describe the methodology and provide simple illustrations.

  19. Competencies: Fuzzy Concepts to Context. Symposium.

    ERIC Educational Resources Information Center

    2002

    This document contains three papers from a symposium titled "Competence: Fuzzy Concepts to Context.""Sales Superstars: Defining Competencies Needed for Sales Performance" (Darlene Russ-Eft, Edward Del Gaizo, Jeannie Moulton, Ruth Pangilinan) discusses a study in which an analysis of 1,688 critical incidents revealed 16 competencies that define the…

  20. Fuzzy Expert System to Characterize Students

    ERIC Educational Resources Information Center

    Van Hecke, T.

    2011-01-01

    Students wanting to succeed in higher education are required to adopt an adequate learning approach. By analyzing individual learning characteristics, teachers can give personal advice to help students identify their learning success factors. An expert system based on fuzzy logic can provide economically viable solutions to help students identify…

  1. FuzzyCLIPS from research to product

    NASA Technical Reports Server (NTRS)

    Bochsler, Dan; Dohmann, Edgar

    1994-01-01

    This paper describes the commercial productization of FuzzyCLIPS which was developed under a NASA Phase 2 SBIR contract. The intent of this paper is to provide a general roadmap of the processes that are required to make a viable, marketable product once its concept and development are complete.

  2. Fuzzy Logic Connectivity in Semiconductor Defect Clustering

    SciTech Connect

    Gleason, S.S.; Kamowski, T.P.; Tobin, K.W.

    1999-01-24

    In joining defects on semiconductor wafer maps into clusters, it is common for defects caused by different sources to overlap. Simple morphological image processing tends to either join too many unrelated defects together or not enough together. Expert semiconductor fabrication engineers have demonstrated that they can easily group clusters of defects from a common manufacturing problem source into a single signature. Capturing this thought process is ideally suited for fuzzy logic. A system of rules was developed to join disconnected clusters based on properties such as elongation, orientation, and distance. The clusters are evaluated on a pair-wise basis using the fuzzy rules and are joined or not joined based on a defuzzification and threshold. The system continuously re-evaluates the clusters under consideration as their fuzzy memberships change with each joining action. The fuzzy membership functions for each pair-wise feature, the techniques used to measure the features, and methods for improving the speed of the system are all developed. Examples of the process are shown using real-world semiconductor wafer maps obtained from chip manufacturers. The algorithm is utilized in the Spatial Signature Analyzer (SSA) software, a joint development project between Oak Ridge National Lab (ORNL) and SEMATECH.

  3. Adaptive neuro-fuzzy inference system for real-time monitoring of integrated-constructed wetlands.

    PubMed

    Dzakpasu, Mawuli; Scholz, Miklas; McCarthy, Valerie; Jordan, Siobhán; Sani, Abdulkadir

    2015-01-01

    Monitoring large-scale treatment wetlands is costly and time-consuming, but required by regulators. Some analytical results are available only after 5 days or even longer. Thus, adaptive neuro-fuzzy inference system (ANFIS) models were developed to predict the effluent concentrations of 5-day biochemical oxygen demand (BOD5) and NH4-N from a full-scale integrated constructed wetland (ICW) treating domestic wastewater. The ANFIS models were developed and validated with a 4-year data set from the ICW system. Cost-effective, quicker and easier to measure variables were selected as the possible predictors based on their goodness of correlation with the outputs. A self-organizing neural network was applied to extract the most relevant input variables from all the possible input variables. Fuzzy subtractive clustering was used to identify the architecture of the ANFIS models and to optimize fuzzy rules, overall, improving the network performance. According to the findings, ANFIS could predict the effluent quality variation quite strongly. Effluent BOD5 and NH4-N concentrations were predicted relatively accurately by other effluent water quality parameters, which can be measured within a few hours. The simulated effluent BOD5 and NH4-N concentrations well fitted the measured concentrations, which was also supported by relatively low mean squared error. Thus, ANFIS can be useful for real-time monitoring and control of ICW systems. PMID:25607665

  4. Stable adaptive fuzzy controllers with application to inverted pendulum tracking.

    PubMed

    Wang, L X

    1996-01-01

    An adaptive fuzzy controller is constructed from a set of fuzzy IF-THEN rules whose parameters are adjusted on-line according to some adaptation law for the purpose of controlling the plant to track a given-trajectory. In this paper, two adaptive fuzzy controllers are designed based on the Lyapunov synthesis approach. We require that the final closed-loop system must be globally stable in the sense that all signals involved (states, controls, parameters, etc.) must be uniformly bounded. Roughly speaking, the adaptive fuzzy controllers are designed through the following steps: first, construct an initial controller based on linguistic descriptions (in the form of fuzzy IF-THEN rules) about the unknown plant from human experts; then, develop an adaptation law to adjust the parameters of the fuzzy controller on-line. We prove, for both adaptive fuzzy controllers, that: (1) all signals in the closed-loop systems are uniformly bounded; and (2) the tracking errors converge to zero under mild conditions. We provide the specific formulas of the bounds so that controller designers can determine the bounds based on their requirements. Finally, the adaptive fuzzy controllers are used to control the inverted pendulum to track a given trajectory, and the simulation results show that: (1) the adaptive fuzzy controllers can perform successful tracking without using any linguistic information; and (2) after incorporating some linguistic fuzzy rules into the controllers, the adaptation speed becomes faster and the tracking error becomes smaller.

  5. Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle

    PubMed Central

    Singh, Ajay; Singh, Avtar; Singh, Manvendra; Prakash, Ved; Ambhore, G. S.; Sahoo, S. K.; Dash, Soumya

    2016-01-01

    A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day milk yield data was modeled using a random regression model (RRM) considering different order of Legendre polynomial for the additive genetic effect (4th order) and the permanent environmental effect (5th order). Data pertaining to 1,583 lactation records spread over a period of 30 years were recorded and analyzed in the study. The variance component, heritability and genetic correlations among test-day milk yields were estimated using RRM. RRM heritability estimates of test-day milk yield varied from 0.11 to 0.22 in different test-day records. The estimates of genetic correlations between different test-day milk yields ranged 0.01 (test-day 1 [TD-1] and TD-11) to 0.99 (TD-4 and TD-5). The magnitudes of genetic correlations between test-day milk yields decreased as the interval between test-days increased and adjacent test-day had higher correlations. Additive genetic and permanent environment variances were higher for test-day milk yields at both ends of lactation. The residual variance was observed to be lower than the permanent environment variance for all the test-day milk yields. PMID:26954137

  6. Pregnancy - identifying fertile days

    MedlinePlus

    ... between days 7 and 20 of a woman's menstrual cycle. In order to become pregnant, having sex every ... hours of ovulation. If you have an irregular menstrual cycle, an ovulation predictor kit can help you know ...

  7. Career Day 2012

    NASA Video Gallery

    More than 200 high school juniors and seniors with interests in science, technology, engineering and math met one-on-one with professionals at NASA's Langley Research Center during Career Day 2012,...

  8. Day care health risks

    MedlinePlus

    ... after going to the bathroom or changing a diaper, and then preparing food. In addition to good ... washing, important policies include: Preparing food and changing diapers in different areas Making sure day care staff ...

  9. Stennis Day Camper

    NASA Technical Reports Server (NTRS)

    2005-01-01

    Sara Beth Casey, 5, proudly displays her artwork, 'Planets.' Sara Beth created the art as a student of Stennis Day Camp, a free camp for Stennis Space Center employees' children whose schools have not resumed since Hurricane Katrina hit the region on Aug. 29. The camp has registered nearly 200 children and averages 100 children each day. The camp will continue until all schools are back in session.

  10. A Lambda-Max of consistency test in Fuzzy Analytic Hierarchy Process (FAHP) for weights of road accidents causes

    NASA Astrophysics Data System (ADS)

    Najib, Liana; Abdullah, Lazim

    2013-04-01

    In the new global economy, road accident has become continuing issue in Malaysia without precise solution on searching the weights and ranks of the causes contributing to road accident. The statistical of road accident fatalities in worldwide are generally persist on increasing from day to day. Thus, the aim of the paper is to purpose fuzzy multi criteria decision making (MCDM) to evaluate causes option with respect to road accident problem. The fuzzy Analytic Hierarchy Process (FAHP) is applied to conduct the relative weights priority related to causes associated with road accident, testing the consistency test of matrix pair-wise comparison of criterion and alternatives by proposed method of Lambda-Max and normalization of weights vectors via Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method as a sequence to rank the weights priority factors. The triangular fuzzy numbers (TFNs) were applied to handle vagueness and imprecision of the data in fuzzy MCDM. Empirical results are determined by using linguistic variables data via interview with the decision makers. The results demonstrate the capability of the causes contributed to road accident in Malaysia.

  11. The Intelligence of Dual Simplex Method to Solve Linear Fractional Fuzzy Transportation Problem

    PubMed Central

    Narayanamoorthy, S.; Kalyani, S.

    2015-01-01

    An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The optimal solution of the two linear fuzzy transportations is solved by dual simplex method and the optimal solution of the fractional fuzzy transportation problem is obtained. The proposed method is explained in detail with an example. PMID:25810713

  12. Operator functional state estimation based on EEG-data-driven fuzzy model.

    PubMed

    Zhang, Jianhua; Yin, Zhong; Yang, Shaozeng; Wang, Rubin

    2016-10-01

    This paper proposed a max-min-entropy-based fuzzy partition method for fuzzy model based estimation of human operator functional state (OFS). The optimal number of fuzzy partitions for each I/O variable of fuzzy model is determined by using the entropy criterion. The fuzzy models were constructed by using Wang-Mendel method. The OFS estimation results showed the practical usefulness of the proposed fuzzy modeling approach. PMID:27668017

  13. Operator functional state estimation based on EEG-data-driven fuzzy model.

    PubMed

    Zhang, Jianhua; Yin, Zhong; Yang, Shaozeng; Wang, Rubin

    2016-10-01

    This paper proposed a max-min-entropy-based fuzzy partition method for fuzzy model based estimation of human operator functional state (OFS). The optimal number of fuzzy partitions for each I/O variable of fuzzy model is determined by using the entropy criterion. The fuzzy models were constructed by using Wang-Mendel method. The OFS estimation results showed the practical usefulness of the proposed fuzzy modeling approach.

  14. A novel approach for analyzing fuzzy system reliability using different types of intuitionistic fuzzy failure rates of components.

    PubMed

    Kumar, Mohit; Yadav, Shiv Prasad

    2012-03-01

    This paper addresses the fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers. Till now, in the literature, to analyze the fuzzy system reliability, it is assumed that the failure rates of all components of a system follow the same type of fuzzy set or intuitionistic fuzzy set. However, in practical problems, such type of situation rarely occurs. Therefore, in the present paper, a new algorithm has been introduced to construct the membership function and non-membership function of fuzzy reliability of a system having components following different types of intuitionistic fuzzy failure rates. Functions of intuitionistic fuzzy numbers are calculated to construct the membership function and non-membership function of fuzzy reliability via non-linear programming techniques. Using the proposed algorithm, membership functions and non-membership functions of fuzzy reliability of a series system and a parallel systems are constructed. Our study generalizes the various works of the literature. Numerical examples are given to illustrate the proposed algorithm.

  15. Fuzzy modeling for chaotic systems via interval type-2 T-S fuzzy model with parametric uncertainty

    NASA Astrophysics Data System (ADS)

    Hasanifard, Goran; Gharaveisi, Ali Akbar; Vali, Mohammad Ali

    2014-02-01

    A motivation for using fuzzy systems stems in part from the fact that they are particularly suitable for processes when the physical systems or qualitative criteria are too complex to model and they have provided an efficient and effective way in the control of complex uncertain nonlinear systems. To realize a fuzzy model-based design for chaotic systems, it is mostly preferred to represent them by T-S fuzzy models. In this paper, a new fuzzy modeling method has been introduced for chaotic systems via the interval type-2 Takagi-Sugeno (IT2 T-S) fuzzy model. An IT2 fuzzy model is proposed to represent a chaotic system subjected to parametric uncertainty, covered by the lower and upper membership functions of the interval type-2 fuzzy sets. Investigating many well-known chaotic systems, it is obvious that nonlinear terms have a single common variable or they depend only on one variable. If it is taken as the premise variable of fuzzy rules and another premise variable is defined subject to parametric uncertainties, a simple IT2 T-S fuzzy dynamical model can be obtained and will represent many well-known chaotic systems. This IT2 T-S fuzzy model can be used for physical application, chaotic synchronization, etc. The proposed approach is numerically applied to the well-known Lorenz system and Rossler system in MATLAB environment.

  16. Fuzzy State Reservoir Operation Model for Irrigation with Gridded Rainfall Forecasts

    NASA Astrophysics Data System (ADS)

    Kumari, S.; Mujumdar, P. P.

    2015-12-01

    This paper presents development and application of a fuzzy state dynamic programming model for irrigation of multiple crops. A fuzzy stochastic dynamic programming (FSDP) model is developed in which the reservoir storage and soil moisture of the crops are considered as fuzzy numbers, and the reservoir inflow is considered as a stochastic variable. The reservoir operation model is integrated with a daily water allocation model which results in daily variations of allocated water, soil moisture, and crop evapotranspiration (ET) deficits. A short term real time operation model is also developed for irrigation of multiple crops with the following distinguishing features with respect to the FSDP model: a) Apart from inclusion of fuzziness in reservoir storage and in soil moisture of crops, spatial variations in rainfall and soil moisture of crops are included in the model by considering gridded command area with a grid size of 0.5 degree latitude by 0.5 degree longitude, b) The water allocation model and soil moisture balance equations are integrated with the real time operation model with consideration of ponding water depth for Paddy crop, and c) The release policy is developed using forecasted daily rainfall data of each grid and is implemented for the current time period using actual 10-day inflow and actual daily rainfall of each grid. A case study of an existing Bhadra Reservoir in Karnataka, India is chosen for the model application. The results are found to be more acceptable for the case study than those of the classical stochastic dynamic model and the standard operating policy model, in terms of ten-day releases from the reservoir and evapotranspiration deficit. Consideration of irrigation decisions on a daily basis and the gridded command area are shown to result in a better performance of the reservoir operation models.

  17. On Fourier series of fuzzy-valued functions.

    PubMed

    Kadak, Uğur; Başar, Feyzi

    2014-01-01

    Fourier analysis is a powerful tool for many problems, and especially for solving various differential equations of interest in science and engineering. In the present paper since the utilization of Zadeh's Extension principle is quite difficult in practice, we prefer the idea of level sets in order to construct a fuzzy-valued function on a closed interval via related membership function. We derive uniform convergence of a fuzzy-valued function sequences and series with level sets. Also we study Hukuhara differentiation and Henstock integration of a fuzzy-valued function with some necessary inclusions. Furthermore, Fourier series of periodic fuzzy-valued functions is defined and its complex form is given via sine and cosine fuzzy coefficients with an illustrative example. Finally, by using the Dirichlet kernel and its properties, we especially examine the convergence of Fourier series of fuzzy-valued functions at each point of discontinuity, where one-sided limits exist.

  18. Intelligent fuzzy controller for event-driven real time systems

    NASA Technical Reports Server (NTRS)

    Grantner, Janos; Patyra, Marek; Stachowicz, Marian S.

    1992-01-01

    Most of the known linguistic models are essentially static, that is, time is not a parameter in describing the behavior of the object's model. In this paper we show a model for synchronous finite state machines based on fuzzy logic. Such finite state machines can be used to build both event-driven, time-varying, rule-based systems and the control unit section of a fuzzy logic computer. The architecture of a pipelined intelligent fuzzy controller is presented, and the linguistic model is represented by an overall fuzzy relation stored in a single rule memory. A VLSI integrated circuit implementation of the fuzzy controller is suggested. At a clock rate of 30 MHz, the controller can perform 3 MFLIPS on multi-dimensional fuzzy data.

  19. Fuzzy-neural control of an aircraft tracking camera platform

    NASA Technical Reports Server (NTRS)

    Mcgrath, Dennis

    1994-01-01

    A fuzzy-neural control system simulation was developed for the control of a camera platform used to observe aircraft on final approach to an aircraft carrier. The fuzzy-neural approach to control combines the structure of a fuzzy knowledge base with a supervised neural network's ability to adapt and improve. The performance characteristics of this hybrid system were compared to those of a fuzzy system and a neural network system developed independently to determine if the fusion of these two technologies offers any advantage over the use of one or the other. The results of this study indicate that the fuzzy-neural approach to control offers some advantages over either fuzzy or neural control alone.

  20. North American Fuzzy Logic Processing Society (NAFIPS 1992), volume 1

    NASA Technical Reports Server (NTRS)

    Villarreal, James A. (Compiler)

    1992-01-01

    This document contains papers presented at the NAFIPS '92 North American Fuzzy Information Processing Society Conference. More than 75 papers were presented at this Conference, which was sponsored by NAFIPS in cooperation with NASA, the Instituto Tecnologico de Morelia, the Indian Society for Fuzzy Mathematics and Information Processing (ISFUMIP), the Instituto Tecnologico de Estudios Superiores de Monterrey (ITESM), the International Fuzzy Systems Association (IFSA), the Japan Society for Fuzzy Theory and Systems, and the Microelectronics and Computer Technology Corporation (MCC). The fuzzy set theory has led to a large number of diverse applications. Recently, interesting applications have been developed which involve the integration of fuzzy systems with adaptive processes such as neural networks and genetic algorithms. NAFIPS '92 was directed toward the advancement, commercialization, and engineering development of these technologies.

  1. Life insurance risk assessment using a fuzzy logic expert system

    NASA Technical Reports Server (NTRS)

    Carreno, Luis A.; Steel, Roy A.

    1992-01-01

    In this paper, we present a knowledge based system that combines fuzzy processing with rule-based processing to form an improved decision aid for evaluating risk for life insurance. This application illustrates the use of FuzzyCLIPS to build a knowledge based decision support system possessing fuzzy components to improve user interactions and KBS performance. The results employing FuzzyCLIPS are compared with the results obtained from the solution of the problem using traditional numerical equations. The design of the fuzzy solution consists of a CLIPS rule-based system for some factors combined with fuzzy logic rules for others. This paper describes the problem, proposes a solution, presents the results, and provides a sample output of the software product.

  2. North American Fuzzy Logic Processing Society (NAFIPS 1992), volume 2

    NASA Technical Reports Server (NTRS)

    Villarreal, James A. (Compiler)

    1992-01-01

    This document contains papers presented at the NAFIPS '92 North American Fuzzy Information Processing Society Conference. More than 75 papers were presented at this Conference, which was sponsored by NAFIPS in cooperation with NASA, the Instituto Tecnologico de Morelia, the Indian Society for Fuzzy Mathematics and Information Processing (ISFUMIP), the Instituto Tecnologico de Estudios Superiores de Monterrey (ITESM), the International Fuzzy Systems Association (IFSA), the Japan Society for Fuzzy Theory and Systems, and the Microelectronics and Computer Technology Corporation (MCC). The fuzzy set theory has led to a large number of diverse applications. Recently, interesting applications have been developed which involve the integration of fuzzy systems with adaptive processes such a neural networks and genetic algorithms. NAFIPS '92 was directed toward the advancement, commercialization, and engineering development of these technologies.

  3. Fuzzy Genetic Algorithm Based on Principal Operation and Inequity Degree

    NASA Astrophysics Data System (ADS)

    Li, Fachao; Jin, Chenxia

    In this paper, starting from the structure of fuzzy information, by distinguishing principal indexes and assistant indexes, give comparison of fuzzy information on synthesizing effect and operation of fuzzy optimization on principal indexes transformation, further, propose axiom system of fuzzy inequity degree from essence of constraint, and give an instructive metric method; Then, combining genetic algorithm, give fuzzy optimization methods based on principal operation and inequity degree (denoted by BPO&ID-FGA, for short); Finally, consider its convergence using Markov chain theory and analyze its performance through an example. All these indicate, BPO&ID-FGA can not only effectively merge decision consciousness into the optimization process, but possess better global convergence, so it can be applied to many fuzzy optimization problems.

  4. Jupiter Night and Day

    NASA Technical Reports Server (NTRS)

    2001-01-01

    Day and night side narrow angle images taken on January 1, 2001 illustrating storms visible on the day side which are the sources of visible lightning when viewed on the night side. The images have been enhanced in contrast. Note the two day-side occurrences of high clouds, in the upper and lower parts of the image, are coincident with lightning storms seen on the darkside. The storms occur at 34.5 degrees and 23.5 degrees North latitude, within one degree of the latitudes at which similar lightning features were detected by the Galileo spacecraft. The images were taken at different times. The storms' longitudinal separation changes from one image to the next because the winds carrying them blow at different speeds at the two latitudes.

  5. Character recognition using a neural network model with fuzzy representation

    NASA Technical Reports Server (NTRS)

    Tavakoli, Nassrin; Seniw, David

    1992-01-01

    The degree to which digital images are recognized correctly by computerized algorithms is highly dependent upon the representation and the classification processes. Fuzzy techniques play an important role in both processes. In this paper, the role of fuzzy representation and classification on the recognition of digital characters is investigated. An experimental Neural Network model with application to character recognition was developed. Through a set of experiments, the effect of fuzzy representation on the recognition accuracy of this model is presented.

  6. Impulsive synchronization of fractional Takagi-Sugeno fuzzy complex networks.

    PubMed

    Ma, Weiyuan; Li, Changpin; Wu, Yujiang

    2016-08-01

    This paper focuses on impulsive synchronization of fractional Takagi-Sugeno (T-S) fuzzy complex networks. A novel comparison principle is built for the fractional impulsive system. Then a synchronization criterion is established for the fractional T-S fuzzy complex networks by utilizing the comparison principle. The method is also illustrated by applying the fractional T-S fuzzy Rössler's complex networks. PMID:27586628

  7. A Proposed Method for Solving Fuzzy System of Linear Equations

    PubMed Central

    Rostami-Malkhalifeh, Mohsen; Jahanshaloo, Gholam Reza

    2014-01-01

    This paper proposes a new method for solving fuzzy system of linear equations with crisp coefficients matrix and fuzzy or interval right hand side. Some conditions for the existence of a fuzzy or interval solution of m × n linear system are derived and also a practical algorithm is introduced in detail. The method is based on linear programming problem. Finally the applicability of the proposed method is illustrated by some numerical examples. PMID:25215332

  8. A proposed method for solving fuzzy system of linear equations.

    PubMed

    Kargar, Reza; Allahviranloo, Tofigh; Rostami-Malkhalifeh, Mohsen; Jahanshaloo, Gholam Reza

    2014-01-01

    This paper proposes a new method for solving fuzzy system of linear equations with crisp coefficients matrix and fuzzy or interval right hand side. Some conditions for the existence of a fuzzy or interval solution of m × n linear system are derived and also a practical algorithm is introduced in detail. The method is based on linear programming problem. Finally the applicability of the proposed method is illustrated by some numerical examples.

  9. Multiobjective fuzzy stochastic linear programming problems with inexact probability distribution

    NASA Astrophysics Data System (ADS)

    Hamadameen, Abdulqader Othman; Zainuddin, Zaitul Marlizawati

    2014-06-01

    This study deals with multiobjective fuzzy stochastic linear programming problems with uncertainty probability distribution which are defined as fuzzy assertions by ambiguous experts. The problem formulation has been presented and the two solutions strategies are; the fuzzy transformation via ranking function and the stochastic transformation when α-. cut technique and linguistic hedges are used in the uncertainty probability distribution. The development of Sen's method is employed to find a compromise solution, supported by illustrative numerical example.

  10. A Priority Fuzzy Logic Extension of the XQuery Language

    NASA Astrophysics Data System (ADS)

    Škrbić, Srdjan; Wettayaprasit, Wiphada; Saeueng, Pannipa

    2011-09-01

    In recent years there have been significant research findings in flexible XML querying techniques using fuzzy set theory. Many types of fuzzy extensions to XML data model and XML query languages have been proposed. In this paper, we introduce priority fuzzy logic extensions to XQuery language. Describing these extensions we introduce a new query language. Moreover, we describe a way to implement an interpreter for this language using an existing XML native database.

  11. Multiobjective fuzzy stochastic linear programming problems with inexact probability distribution

    SciTech Connect

    Hamadameen, Abdulqader Othman; Zainuddin, Zaitul Marlizawati

    2014-06-19

    This study deals with multiobjective fuzzy stochastic linear programming problems with uncertainty probability distribution which are defined as fuzzy assertions by ambiguous experts. The problem formulation has been presented and the two solutions strategies are; the fuzzy transformation via ranking function and the stochastic transformation when α{sup –}. cut technique and linguistic hedges are used in the uncertainty probability distribution. The development of Sen’s method is employed to find a compromise solution, supported by illustrative numerical example.

  12. Fuzzy case based reasoning in sports facilities unit cost estimating

    NASA Astrophysics Data System (ADS)

    Zima, Krzysztof

    2016-06-01

    This article presents an example of estimating costs in the early phase of the project using fuzzy case-based reasoning. The fragment of database containing descriptions and unit cost of sports facilities was shown. The formulas used in Case Based Reasoning method were presented, too. The article presents similarity measurement using a few formulas, including fuzzy similarity. The outcome of cost calculations based on CBR method was presented as a fuzzy number of unit cost of construction work.

  13. EDITORIAL: Artificial Muscles: Selected papers from the 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio (Osaka, Japan, 25-27 November 2009) Artificial Muscles: Selected papers from the 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio (Osaka, Japan, 25-27 November 2009)

    NASA Astrophysics Data System (ADS)

    Shahinpoor, Mohsen

    2011-12-01

    The 5th World Congress on Biomimetics, Artificial Muscles and Nano-Bio and the 4th International Conference on Artificial Muscles were held in Osaka, Japan, 23-27 November 2009. This special section of Smart Materials and Structures is devoted to a selected number of research papers presented at this international conference and congress. Of the 76 or so papers presented at the conference, only 10 papers were finally selected, reviewed and accepted for this special section, following the regular reviewing procedures of the journal. This special section is focused on polymeric artificial muscles, electroactive polymers, multifunctional nanocomposites and their applications. In particular, an electromechanical model for self-sensing ionic polymer-metal composite actuating devices with patterned surface electrodes is presented which discusses the concept of creating self-sensing ionic polymer-metal composite (IPMC) actuating devices with patterned surface electrodes where actuator and sensor elements are separated by a grounded shielding electrode. Eventually, an electromechanical model of the device is also proposed and validated. Following that, there is broad coverage of polytetrahydrofurane-polyethylene oxide-PEDOT conducting interpenetrating polymer networks (IPNs) for high speed actuators. The conducting polymer (poly(3,4-ethylenedioxythiophene)) is incorporated within the IPNs, which are synthesized from polyethylene oxide (PEO)/polytetrahydrofurane (PTHF) networks. PEO/PTHF IPNs are prepared using poly(ethylene glycol) methacrylate and dimethacrylate and hydroxythelechelic PTHF as starting materials. The conducting IPN actuators are prepared by oxidative polymerization of 3,4-ethylenedioxithiophene (EDOT) using FeCl3 as an oxidizing agent within the PEO/PTHF IPN host matrix. Subsequently, giant and reversible magnetorheology of carrageenan/iron oxide magnetic gels are discussed and the effect of magnetic fields on the viscoelastic properties

  14. Low-loss and flatband silicon-nanowire-based 5th-order coupled resonator optical waveguides (CROW) fabricated by ArF-immersion lithography process on a 300-mm SOI wafer

    NASA Astrophysics Data System (ADS)

    Jeong, Seok-Hwan; Shimura, Daisuke; Simoyama, Takasi; Seki, Miyoshi; Yokoyama, Nobuyuki; Ohtsuka, Minoru; Koshino, Keiji; Horikawa, Tsuyoshi; Tanaka, Yu; Morito, Ken

    2014-03-01

    We present flatband, low-loss and low-crosstalk characteristics of Si-nanowire-based 5th-order coupled resonator optical waveguides (CROW) fabricated by ArF-immersion lithography process on a 300-mm silicon-on-insulator (SOI) wafer. We theoretically specified why phase controllability over Si-nanowire waveguides is prerequisite to attain desired spectral response, discussing spectral degradation by random phase errors during fabrication process. It was experimentally demonstrated that advanced patterning technology based on ArF-immersion lithography process showed extremely low phase errors even for Si-nanowire channel waveguides. As a result, the device exhibited extremely low loss of <0.2dB and low crosstalk of <-40dB without any external phase compensation. Furthermore, fairly good spectral uniformity for all fabricated devices was found both in intra-dies and inter-dies. The center wavelengths for box-like drop channel responses were distributed within 0.4 nm in the same die. This tendency was kept nearly constant for other dies on the 300-mm SOI wafer. In the case of the inter-die distribution where each die is spaced by ~3cm, the deviation of the center wavelengths was as low as +/-1.8 nm between the dies separated by up to ~15 cm. The spectral superiority was reconfirmed by measuring 25 Gbps modulation signals launched into the device. Clear eye openings were observed as long as the optical signal wavelengths are stayed within the flat-topped passband of the 5th-order CROW. We believe these high-precision fabrication technologies based on 300-mm SOI wafer scale ArF-immersion lithography would be promising for several kinds of WDM multiplexers/demultiplexers having much complicated configurations and requiring much finer phase controllability.

  15. Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network

    PubMed Central

    Chen, Zhijia; Zhu, Yuanchang; Di, Yanqiang; Feng, Shaochong

    2015-01-01

    In IaaS (infrastructure as a service) cloud environment, users are provisioned with virtual machines (VMs). To allocate resources for users dynamically and effectively, accurate resource demands predicting is essential. For this purpose, this paper proposes a self-adaptive prediction method using ensemble model and subtractive-fuzzy clustering based fuzzy neural network (ESFCFNN). We analyze the characters of user preferences and demands. Then the architecture of the prediction model is constructed. We adopt some base predictors to compose the ensemble model. Then the structure and learning algorithm of fuzzy neural network is researched. To obtain the number of fuzzy rules and the initial value of the premise and consequent parameters, this paper proposes the fuzzy c-means combined with subtractive clustering algorithm, that is, the subtractive-fuzzy clustering. Finally, we adopt different criteria to evaluate the proposed method. The experiment results show that the method is accurate and effective in predicting the resource demands. PMID:25691896

  16. Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.

    PubMed

    Chen, Zhijia; Zhu, Yuanchang; Di, Yanqiang; Feng, Shaochong

    2015-01-01

    In IaaS (infrastructure as a service) cloud environment, users are provisioned with virtual machines (VMs). To allocate resources for users dynamically and effectively, accurate resource demands predicting is essential. For this purpose, this paper proposes a self-adaptive prediction method using ensemble model and subtractive-fuzzy clustering based fuzzy neural network (ESFCFNN). We analyze the characters of user preferences and demands. Then the architecture of the prediction model is constructed. We adopt some base predictors to compose the ensemble model. Then the structure and learning algorithm of fuzzy neural network is researched. To obtain the number of fuzzy rules and the initial value of the premise and consequent parameters, this paper proposes the fuzzy c-means combined with subtractive clustering algorithm, that is, the subtractive-fuzzy clustering. Finally, we adopt different criteria to evaluate the proposed method. The experiment results show that the method is accurate and effective in predicting the resource demands. PMID:25691896

  17. A novel computational approach to approximate fuzzy interpolation polynomials.

    PubMed

    Jafarian, Ahmad; Jafari, Raheleh; Mohamed Al Qurashi, Maysaa; Baleanu, Dumitru

    2016-01-01

    This paper build a structure of fuzzy neural network, which is well sufficient to gain a fuzzy interpolation polynomial of the form [Formula: see text] where [Formula: see text] is crisp number (for [Formula: see text], which interpolates the fuzzy data [Formula: see text]. Thus, a gradient descent algorithm is constructed to train the neural network in such a way that the unknown coefficients of fuzzy polynomial are estimated by the neural network. The numeral experimentations portray that the present interpolation methodology is reliable and efficient. PMID:27625982

  18. Finding multiple possible critical paths using fuzzy PERT.

    PubMed

    Chen, S M; Chang, T H

    2001-01-01

    Program evaluation and review techniques (PERT) is an efficient tool for large project management. In actual project control decisions, PERT has successfully been applied to business management, industry production, project scheduling control, logistics support, etc. However, classical PERT requires a crisp duration time representation for each activity. This requirement is often difficult for the decision-makers due to the fact that they usually can not estimate these values precisely. In recent years, some fuzzy PERT methods have been proposed based on fuzzy set theory for project management. However, there is a drawback in the existing fuzzy PERT methods, i.e., sometimes they maybe cannot find a critical path in a fuzzy project network. In this paper, we propose a fuzzy PERT algorithm to find multiple possible critical paths in a fuzzy project network, where the duration time of each activity in a fuzzy project network is represented by a fuzzy number. The proposed algorithm can overcome the drawback of the existing fuzzy PERT methods.

  19. Some classes of t-norms and fuzzy metric spaces

    NASA Astrophysics Data System (ADS)

    Castro-Company, Francisco; Tirado, Pedro

    2012-09-01

    Recently, V. Gregori, S. Morillas and A. Sapena have discussed [On a class of completable fuzzy metric spaces, Fuzzy Sets and Systems 161 (2010), 2193-2205] the so-called strong fuzzy metrics when looking for a class of completable fuzzy metric spaces in the sense of A. George and P. Veeramani and state the question of finding a non-strong fuzzy metric space for a continuous t-norm different from the minimum. Later on, J. Gutiérrez García and S. Romaguera solved this question [Examples of non-strong fuzzy metrics, Fuzzy Sets and Systems 162 (2011) 91-93] by means of two examples for the product and the Lukasiewicz t-norm, respectively. In this direction they posed to find further examples of non-strong fuzzy metrics for continuous t-norm that are greater than the product but different from minimum. In this paper we obtain, among others facts on t-norms and fuzzy metric spaces, an example of this kind.

  20. Portfolio selection based on fuzzy cross-entropy

    NASA Astrophysics Data System (ADS)

    Qin, Zhongfeng; Li, Xiang; Ji, Xiaoyu

    2009-06-01

    In this paper, the Kapur cross-entropy minimization model for portfolio selection problem is discussed under fuzzy environment, which minimizes the divergence of the fuzzy investment return from a priori one. First, three mathematical models are proposed by defining divergence as cross-entropy, average return as expected value and risk as variance, semivariance and chance of bad outcome, respectively. In order to solve these models under fuzzy environment, a hybrid intelligent algorithm is designed by integrating numerical integration, fuzzy simulation and genetic algorithm. Finally, several numerical examples are given to illustrate the modeling idea and the effectiveness of the proposed algorithm.

  1. Fuzzy Space-Time Geometry and Particle's Dynamics

    NASA Astrophysics Data System (ADS)

    Mayburov, S. N.

    2010-12-01

    The quantum space-time with Dodson-Zeeman topological structure is studied. In its framework, the states of massive particle m correspond to the elements of fuzzy ordered set (Foset), i.e. the fuzzy points. Due to their partial ordering, m space coordinate x acquires principal uncertainty σ x . Schroedinger formalism of Quantum Mechanics is derived from consideration of m evolution in fuzzy phase space with minimal number of additional axioms. The possible particle’s interactions on fuzzy manifold are studied and shown to be gauge invariant.

  2. Similarity Measure and Entropy of Fuzzy Soft Sets

    PubMed Central

    Liu, Zhicai; Qin, Keyun; Pei, Zheng

    2014-01-01

    Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. Recently, uncertainty measures of soft sets and fuzzy soft sets have gained attentions from researchers. This paper is devoted to the study of uncertainty measures of fuzzy soft sets. The axioms for similarity measure and entropy are proposed. A new category of similarity measures and entropies is presented based on fuzzy equivalence. Our approach is general in the sense that by using different fuzzy equivalences one gets different similarity measures and entropies. The relationships among these measures and the other proposals in the literatures are analyzed. PMID:25028672

  3. Fuzzy modelling of power system optimal load flow

    SciTech Connect

    Miranda, V.; Saraiva, J.T. )

    1992-05-01

    In this paper, a fuzzy model for power system operation is presented. Uncertainties in loads and generations are modeled as fuzzy numbers. System behavior under known (while uncertain) injections is dealt with by a DC fuzzy power flow model. System optimal (while uncertain) operation is calculated with linear programming procedures where the problem nature and structure allows some efficient techniques such as Dantzig Wolfe decomposition and dual simplex to be used. Among the results, one obtains a fuzzy cost value for system operation and possibility distributions for branch power flows and power generations. Some risk analysis is possible, as system robustness and exposure indices can be derived and hedging policies can be investigated.

  4. Fuzzy Current-Mode Control and Stability Analysis

    NASA Technical Reports Server (NTRS)

    Kopasakis, George

    2000-01-01

    In this paper a current-mode control (CMC) methodology is developed for a buck converter by using a fuzzy logic controller. Conventional CMC methodologies are based on lead-lag compensation with voltage and inductor current feedback. In this paper the converter lead-lag compensation will be substituted with a fuzzy controller. A small-signal model of the fuzzy controller will also be developed in order to examine the stability properties of this buck converter control system. The paper develops an analytical approach, introducing fuzzy control into the area of CMC.

  5. Decomposition of fuzzy soft sets with finite value spaces.

    PubMed

    Feng, Feng; Fujita, Hamido; Jun, Young Bae; Khan, Madad

    2014-01-01

    The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parameterization methods in harmony to deal with uncertainty. The decomposition of fuzzy soft sets is of great importance in both theory and practical applications with regard to decision making under uncertainty. This study aims to explore decomposition of fuzzy soft sets with finite value spaces. Scalar uni-product and int-product operations of fuzzy soft sets are introduced and some related properties are investigated. Using t-level soft sets, we define level equivalent relations and show that the quotient structure of the unit interval induced by level equivalent relations is isomorphic to the lattice consisting of all t-level soft sets of a given fuzzy soft set. We also introduce the concepts of crucial threshold values and complete threshold sets. Finally, some decomposition theorems for fuzzy soft sets with finite value spaces are established, illustrated by an example concerning the classification and rating of multimedia cell phones. The obtained results extend some classical decomposition theorems of fuzzy sets, since every fuzzy set can be viewed as a fuzzy soft set with a single parameter.

  6. Decomposition of Fuzzy Soft Sets with Finite Value Spaces

    PubMed Central

    Jun, Young Bae

    2014-01-01

    The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parameterization methods in harmony to deal with uncertainty. The decomposition of fuzzy soft sets is of great importance in both theory and practical applications with regard to decision making under uncertainty. This study aims to explore decomposition of fuzzy soft sets with finite value spaces. Scalar uni-product and int-product operations of fuzzy soft sets are introduced and some related properties are investigated. Using t-level soft sets, we define level equivalent relations and show that the quotient structure of the unit interval induced by level equivalent relations is isomorphic to the lattice consisting of all t-level soft sets of a given fuzzy soft set. We also introduce the concepts of crucial threshold values and complete threshold sets. Finally, some decomposition theorems for fuzzy soft sets with finite value spaces are established, illustrated by an example concerning the classification and rating of multimedia cell phones. The obtained results extend some classical decomposition theorems of fuzzy sets, since every fuzzy set can be viewed as a fuzzy soft set with a single parameter. PMID:24558342

  7. Synthesis of nonlinear control strategies from fuzzy logic control algorithms

    NASA Technical Reports Server (NTRS)

    Langari, Reza

    1993-01-01

    Fuzzy control has been recognized as an alternative to conventional control techniques in situations where the plant model is not sufficiently well known to warrant the application of conventional control techniques. Precisely what fuzzy control does and how it does what it does is not quite clear, however. This important issue is discussed and in particular it is shown how a given fuzzy control scheme can resolve into a nonlinear control law and that in those situations the success of fuzzy control hinges on its ability to compensate for nonlinearities in plant dynamics.

  8. A simple fuzzy logic real-time camera tracking system

    NASA Technical Reports Server (NTRS)

    Magee, Kevin N.; Cheatham, John B., Jr.

    1993-01-01

    A fuzzy logic control of camera pan and tilt has been implemented to provide real-time camera tracking of a moving object. The user clicks a mouse button to identify the object that is to be tracked. A rapid centroid estimation algorithm is used to estimate the location of the moving object, and based on simple fuzzy membership functions, fuzzy x and y values are input into a six-rule fuzzy logic rule base. The output of this system is de-fuzzified to provide pan and tilt velocities required to keep the image of the object approximately centered in the camera field of view.

  9. Seismic event interpretation using fuzzy logic and neural networks

    SciTech Connect

    Maurer, W.J.; Dowla, F.U.

    1994-01-01

    In the computer interpretation of seismic data, unknown sources of seismic events must be represented and reasoned about using measurements from the recorded signal. In this report, we develop the use of fuzzy logic to improve our ability to interpret weak seismic events. Processing strategies for the use of fuzzy set theory to represent vagueness and uncertainty, a phenomena common in seismic data analysis, are developed. A fuzzy-assumption based truth-maintenance-inferencing engine is also developed. Preliminary results in interpreting seismic events using the fuzzy neural network knowledge-based system are presented.

  10. Appraising lignite quality parameters by linguistic fuzzy identification

    SciTech Connect

    Tutmez, B.

    2007-03-15

    Lignite quality parameters have had central importance for power plants. This article addresses a comparative study on fuzzy and regression modeling for estimating the calorific value of lignite, which is one of the quality parameters from the other parameters: moisture, ash, volatile matter, and sulphur content. For the estimations, data driven models were designed based on linguistic fuzzy modeling structures. In addition, estimations of the fuzzy models were compared with linear regression estimations. The great majority of performance evaluations showed that the fuzzy estimations are very satisfactory in estimating calorific value of lignite.

  11. Fuzzy confidence regions for the Taguchi capability index

    NASA Astrophysics Data System (ADS)

    Ramezani, Zeinab; Parchami, Abbas; Mashinchi, Mashaallah

    2011-06-01

    Most of the traditional methods for assessing the capability of manufacturing processes are dealing with crisp quality. In quality control, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which specification limits (SLs) are imprecise. In this situation, the fuzzy process capability indices (PCIs) ? , ? and ? are necessary for measuring the fuzzy quality in an in-control process. These fuzzy capability indices are also helpful for comparing manufacturing processes with SLs. The fuzzy capability index ? is used to provide an assessment of the ability of the fuzzy process to be clustered around the target value. The emphasis on the use of ? over the other two fuzzy indices, ? and ? , is due to its definition that provides indications of both the process variability and deviation of process mean from a specified target. In this article, by using triangular fuzzy SLs, we present four approximate ? fuzzy confidence regions for the fuzzy PCI ? . A numerical example is given to show the performance of the method.

  12. Elementary Science Guide -- 5th Grade.

    ERIC Educational Resources Information Center

    Wieland, Anne; And Others

    Presented is a resource book to be used with instructional kits for elementary school science students, grade 5. The individual units at this grade level are based on curriculum which has been developed by the National Science Foundation in the 1960s and revised to meet student and teacher identified needs in Anchorage, Alaska. Six units are…

  13. Radiology of bone diseases. 5th edition

    SciTech Connect

    Greenfield, G.

    1990-01-01

    This book reports on anatomy, physiology, and biochemistry of bone. This book presents alterations in overall characteristics such as density and bone texture. It describes Salterations in specific anatomic regions of bone, as well ad discuss solitary bone lesions. The style in which the diseases are grouped according to specific regions and morphologic alterations rather than by individual pathologic condition is the most powerful aspect of this format.

  14. 5TH BIOTECHNOLOGICAL INVESTIGATIONS OCEAN MARGINS PROGRAM

    SciTech Connect

    DR. ARTURO MASSOL, PROGRAM CHAIR; DR. ROSA BUXEDA, PROGRAM CO-CHAIR

    2004-01-08

    BI-OMP supports DOE's mission in Climate Change Research. The program provides the fundamental understanding of the linkages between carbon and nitrogen cycles in ocean margins. Researchers are providing a mechanistic understanding of these cycles, using the tools of modern molecular biology. The models that will allow policy makers to determine safe levels of greenhouse gases for the Earth System.

  15. Regression Analysis by Example. 5th Edition

    ERIC Educational Resources Information Center

    Chatterjee, Samprit; Hadi, Ali S.

    2012-01-01

    Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…

  16. 5th Annual AGILE Science Workshop

    NASA Technical Reports Server (NTRS)

    Hunter, Stanley

    2008-01-01

    The EGRET model of the galactic diffuse gamma-ray emission (GALDIF) has been extended to provide full-sky coverage and improved to address the discrepancies with the EGRET data. This improved model is compared with the AGILE results from the Galactic center. The comparison is discussed.

  17. 5th Annual Monoclonal Antibodies Conference

    PubMed Central

    2009-01-01

    The conference, which was organized by Visiongain and held at the BSG Conference Center in London, provided an excellent opportunity for participants to exchange views on the development, production and marketing of therapeutic antibodies, and discuss the current business environment. The conference included numerous interactive panel and group discussions on topics such as isotyping for therapeutic antibodies (panel chair: Nick Pullen, Pfizer), prospects for fully human monoclonal antibodies (chair: Christian Rohlff, Oxford BioTherapeutics), perspectives on antibody manufacturing and development (chair: Bo Kara, Avecia), market impact and post-marketing issues (chair: Keith Rodgers, Bodiam Consulting) and angiogenesis inhibitors (chair: David Blakey, AstraZeneca). PMID:20073132

  18. Designing Effective Instruction. 5th Edition

    ERIC Educational Resources Information Center

    Morrison, Gary R.; Ross, Steven M.; Kemp, Jerrold E.

    2006-01-01

    This valuable resource provides instructional designers with the guidance they need to meet the challenge of creating effective and efficient instruction. Maintaining a careful balance between theory and application, the Fifth Edition presents a practical, easy-to-follow approach to instructional design that can be applied to K-12 classrooms,…

  19. Peace Corps 5th Annual Report.

    ERIC Educational Resources Information Center

    Peace Corps, Washington, DC.

    Projects, operations, and future plans are covered in this annual report for the fifth year of the Peace Corps. An introduction overviews past and future activities of the Peace Corps and its volunteers. Section 2 reviews the year 1966 and covers these topics: the new director, Jack Vaughn; countries in which new programs were begun; the…

  20. First Day of School

    ERIC Educational Resources Information Center

    Bort, Nancy

    2004-01-01

    In this brief article, the author, a science teacher at F. C. Hammond Middle School in Alexandria, Virginia, describes how the setting up of a simple science experiment on the first day of school can get students excited about learning science. The experiment involves heating a small amount of water in a flask, then covering the opening of the…

  1. Scheduling: Seven Period Day

    ERIC Educational Resources Information Center

    Williamson, Ronald

    2010-01-01

    Driven by stable or declining financial resources many school districts are considering the costs and benefits of a seven-period day. While there is limited evidence that any particular scheduling model has a greater impact on student learning than any other, it is clear that the school schedule is a tool that can significantly impact teacher…

  2. Fabulous Weather Day

    ERIC Educational Resources Information Center

    Marshall, Candice; Mogil, H. Michael

    2007-01-01

    Each year, first graders at Kensington Parkwood Elementary School in Kensington, Maryland, look forward to Fabulous Weather Day. Students learn how meteorologists collect data about the weather, how they study wind, temperature, precipitation, basic types/characteristics of clouds, and how they forecast. The project helps the students grow in…

  3. 90-Day Cycle Handbook

    ERIC Educational Resources Information Center

    Park, Sandra; Takahashi, Sola

    2013-01-01

    90-Day Cycles are a disciplined and structured form of inquiry designed to produce and test knowledge syntheses, prototyped processes, or products in support of improvement work. With any type of activity, organizations inevitably encounter roadblocks to improving performance and outcomes. These barriers might include intractable problems at…

  4. Day Care: Nutrition.

    ERIC Educational Resources Information Center

    Foster, Florence P.; And Others

    This collection of 12 short, bilingual papers on nutrition and preschool children is part of a series of papers on various aspects of day care published by the Canadian Department of Health and Welfare. Each paper is presented in both English and French. Topics dealt with include an overview of children's nutritional needs; development of…

  5. An Earth Day Reader.

    ERIC Educational Resources Information Center

    Moser, Don, Ed.

    1990-01-01

    Presents what the author believes to be some of the most important environmental books published since Earth Day 1970. Discusses each selection and how it provides the historical background, basic information, and appreciation necessary to understand the character of our environmental dilemma and our need to address it. (MCO)

  6. Sun-Earth Day

    NASA Technical Reports Server (NTRS)

    2007-01-01

    Michael Sandras, a member of the Pontchartrain Astronomical Society, explains his solar telescope to students of Second Street in Bay St. Louis, Hancock County and Nicholson elementary schools in StenniSphere's Millennium Hall on April 10. The students participated in several hands-on activities at Stennis Space Center's Sun-Earth Day celebration.

  7. Make a Splash Day

    ERIC Educational Resources Information Center

    Coverdale, Greg; Rust, April; Jensen, Belinda

    2004-01-01

    At the annual, all-day events-sponsored by Project WET (Water Education for Teachers) and held in nearly every state across the country each September--students participate in interactive activities and exhibits to learn about water resources and explore how human behaviors, such as development and recreation, can affect the quality of the…

  8. One Play a Day

    ERIC Educational Resources Information Center

    Blankenship, Mark

    2007-01-01

    Undergraduate theater students rarely get the chance to work on a major world premiere, but this year hundreds of them will. Currently, more than 70 colleges and universities are participating in "365 Days/365 Plays," an ambitious project from Pulitzer Prize-winning playwright Suzan-Lori Parks. Every week, as they mount their portion of this epic…

  9. Seize the Day

    ERIC Educational Resources Information Center

    Berkey, Tim

    2008-01-01

    In order to improve what happens in classrooms, a considerable amount of work needs to take place between teachers and principals. This can only happen if campus leaders make dramatic shifts in how and where they spend their daily time. Principals can have a greater impact on teaching and learning by transforming their work one day at a time. The…

  10. Alterations in resting oxygen consumption in women exposed to 10 days of cold air

    SciTech Connect

    Armstrong, D.W.; Thomas, J.R. )

    1991-03-11

    Repeated exposure to cold air reduces the metabolic response to cold air exposure in man. The purpose of this investigation was to measure the change in resting metabolic rate (RMR) with exposure to 22C air and 4C air during a 12 day period. Four women sat in 22C air for 45 min followed by 45 min in 4C air each day for ten days. The authors measured RMR during a 45 min period in 22C air followed by 45 min in 4C air on four days. All subjects began their morning exposures on a Monday within 2 days of the onset of menses completing the study on a Friday, 12 days later. Subjects dressed in a T-shirt, shorts and cotton socks. During 45 min of exposure to warm air, RMR remained steady at 10% of VO{sub 2peak} on Day 1 and 10% on Day 5. RMR during exposure to warm air significantly increased to 13% of VO{sub 2peak} on Day 8 and remained elevated at 13% on Day 12. During exposure to cold air RMR peaked at 31% of CO{sub 2peak} by the 5th min on Day 1. Peak RMR on Day 5 was significantly lower. Pea RMR in the cold remained lower on Days 8 and 12. During cold exposure RMR peaked and then declined to steady-state during min 15 to 45. Steady-state RMR during cold exposure was significantly lower on Day 5, Day 7 and Day 12 when compared to the 23% of VO{sub 2peak} on Day 1. The authors found that RMR in cold air is significantly attenuated by Day 5 and remains lower through Day 12. RMR during warm air exposure is elevated 3% by Day 8 after five (5) days of repeated cold exposure followed by two (2) days without exposure to cold air, and RMR remains elevated on Day 12.

  11. Fuzzy Set Theory Applied to Measurement Data for Exposure Control in Beryllium Part Manufacturing.

    SciTech Connect

    Parkinson, W. J. ,; Abeln, S. P.; Creek, K. L.; Mortensen, F. N.; Wantuck, P. J.; Ross, Timothy J.; Jamshidi, Mohammad

    2002-01-01

    Fuzzy set theory has been applied to some exposure control problems encountered in the machining and the manufacturing of beryllium parts at Los Alamos National Laboratory. A portion of that work is presented here. The major driving force for using fuzzy techniques in this case rather than classical statistical process control is that beryllium exposure is very task dependent and this manufacturing plant is quite atypical. It is feared that standard techniques produce too many false alarms. Our beryllium plant produces parts on a daily basis, but every day is different. Some days many parts are produced and some days only a few. Some times the parts are large and sometimes the parts are small. Some machining cuts are rough and some are fine. These factors and others make it hard to define a typical day. The problem of concern, for this study, is the worker beryllium exposure. Even though the plant is new and very modern and the exposure levels are expected to be well below the required levels, the Department of Energy (DOE), who is our major customer, has demanded that the levels for this plant be well below required levels. The control charts used to monitor this process are expected to answer two questions: (1) Is the process out of Control? Do we need to instigate special controls such as requiring workers to use respirators? (2) Are new, previously untested, controls making a difference? The standard Schewart type control charts, based on consistent plant operating conditions do not adequately answer this question. The approach described here is based upon a fuzzy modification to the Schewart Xbar-R chart. This approach is expected to yield better results than work based upon the classical probabilistic control chart.

  12. A fuzzy logical model of letter identification.

    PubMed

    Oden, G C

    1979-05-01

    Stimuli were generated by factorially varying two sets of features that distinguish between two letter patterns. Subjects rated the degree to which each stimulus was an instance of one letter rather than the alternative. The obtained ratings were relatively continuous and systematic functions of the feature manipulations. The results were well accounted for by a model in which (a) each feature has an associated fuzzy predicate that is used to independently evaluate the degree to which it is true that the feature is present in the stimulus; (b) the featural truth values are integrated according to fuzzy logical expressions that correspond directly to propositional descriptions of each letter pattern; and (c) the resulting goodness of match to the stimulus for each letter is compared to that of the alternatives to determine the final identification. PMID:528944

  13. Hydrograph estimation with fuzzy chain model

    NASA Astrophysics Data System (ADS)

    Güçlü, Yavuz Selim; Şen, Zekai

    2016-07-01

    Hydrograph peak discharge estimation is gaining more significance with unprecedented urbanization developments. Most of the existing models do not yield reliable peak discharge estimations for small basins although they provide acceptable results for medium and large ones. In this study, fuzzy chain model (FCM) is suggested by considering the necessary adjustments based on some measurements over a small basin, Ayamama basin, within Istanbul City, Turkey. FCM is based on Mamdani and the Adaptive Neuro Fuzzy Inference Systems (ANFIS) methodologies, which yield peak discharge estimation. The suggested model is compared with two well-known approaches, namely, Soil Conservation Service (SCS)-Snyder and SCS-Clark methodologies. In all the methods, the hydrographs are obtained through the use of dimensionless unit hydrograph concept. After the necessary modeling, computation, verification and adaptation stages comparatively better hydrographs are obtained by FCM. The mean square error for the FCM is many folds smaller than the other methodologies, which proves outperformance of the suggested methodology.

  14. IDENTIFYING ROOF FALL PREDICTORS USING FUZZY CLASSIFICATION

    SciTech Connect

    Bertoncini, C. A.; Hinders, M. K.

    2010-02-22

    Microseismic monitoring involves placing geophones on the rock surfaces of a mine to record seismic activity. Classification of microseismic mine data can be used to predict seismic events in a mine to mitigate mining hazards, such as roof falls, where properly bolting and bracing the roof is often an insufficient method of preventing weak roofs from destabilizing. In this study, six months of recorded acoustic waveforms from microseismic monitoring in a Pennsylvania limestone mine were analyzed using classification techniques to predict roof falls. Fuzzy classification using features selected for computational ease was applied on the mine data. Both large roof fall events could be predicted using a Roof Fall Index (RFI) metric calculated from the results of the fuzzy classification. RFI was successfully used to resolve the two significant roof fall events and predicted both events by at least 15 hours before visual signs of the roof falls were evident.

  15. Deconstructing Noncommutativity with a Giant Fuzzy Moose

    SciTech Connect

    Adams, Allan W.

    2001-12-05

    We argue that the world volume theories of D-branes probing orbifolds with discrete torsion develop, in the large quiver limit, new non-commutative directions. This provides an explicit ''deconstruction'' of a wide class of noncommutative theories. This also provides insight into the physical meaning of discrete torsion and its relation to the T-dual B field. We demonstrate that the strict large quiver limit reproduces the matrix theory construction of higher-dimensional D-branes, and argue that finite ''fuzzy moose'' theories provide novel regularizations of non-commutative theories and explicit string theory realizations of gauge theories on fuzzy tori. We also comment briefly on the relation to NCOS, (2,0) and little string theories.

  16. Genetic algorithms in adaptive fuzzy control

    NASA Technical Reports Server (NTRS)

    Karr, C. Lucas; Harper, Tony R.

    1992-01-01

    Researchers at the U.S. Bureau of Mines have developed adaptive process control systems in which genetic algorithms (GA's) are used to augment fuzzy logic controllers (FLC's). GA's are search algorithms that rapidly locate near-optimum solutions to a wide spectrum of problems by modeling the search procedures of natural genetics. FLC's are rule based systems that efficiently manipulate a problem environment by modeling the 'rule-of-thumb' strategy used in human decision making. Together, GA's and FLC's possess the capabilities necessary to produce powerful, efficient, and robust adaptive control systems. To perform efficiently, such control systems require a control element to manipulate the problem environment, an analysis element to recognize changes in the problem environment, and a learning element to adjust fuzzy membership functions in response to the changes in the problem environment. Details of an overall adaptive control system are discussed. A specific computer-simulated chemical system is used to demonstrate the ideas presented.

  17. Advances In Infection Surveillance and Clinical Decision Support With Fuzzy Sets and Fuzzy Logic.

    PubMed

    Koller, Walter; de Bruin, Jeroen S; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

    2015-01-01

    By the use of extended intelligent information technology tools for fully automated healthcare-associated infection (HAI) surveillance, clinicians can be informed and alerted about the emergence of infection-related conditions in their patients. Moni--a system for monitoring nosocomial infections in intensive care units for adult and neonatal patients--employs knowledge bases that were written with extensive use of fuzzy sets and fuzzy logic, allowing the inherent un-sharpness of clinical terms and the inherent uncertainty of clinical conclusions to be a part of Moni's output. Thus, linguistic as well as propositional uncertainty became a part of Moni, which can now report retrospectively on HAIs according to traditional crisp HAI surveillance definitions, as well as support clinical bedside work by more complex crisp and fuzzy alerts and reminders. This improved approach can bridge the gap between classical retrospective surveillance of HAIs and ongoing prospective clinical-decision-oriented HAI support.

  18. Phoneme fuzzy characterization in speech recognition systems

    NASA Astrophysics Data System (ADS)

    Beritelli, Francesco; Borrometi, Luca; Cuce, Antonino

    1997-10-01

    The acoustic approach to speech recognition has an important advantage compared with pattern recognition approach: it presents a lower complexity because it doesn't require explicit structures such as the hidden Markov model. In this work, we show how to characterize some phonetic classes of the Italian language in order to obtain a speaker and vocabulary independent speech recognition system. A phonetic data base is carried out with 200 continuous speech sentences of 12 speakers, 6 females and 6 males. The sentences are sampled at 8000 Hz and manual labelled with Asystem Sound Impression Software to obtain about 1600 units. We analyzed several speech parameters such as formants, LPC and reflection coefficients, energy, normal/differential zero crossing rate, cepstral and autocorrelation coefficients. The aim is the achievement of a phonetic recognizer to facilitate the so- called lexical access problem, that is to decode phonetic units into complete sense word strings. The knowledge is supplied to the recognizer in terms of fuzzy systems. The utilized software is called adaptive fuzzy modeler and it belongs to the rule generator family. A procedure has been implemented to integrate in the fuzzy system an 'expert' knowledge in order to obtain significant improvements in the recognition accuracy. Up to this point the tests show a recognition rate of 92% for the vocal class, 89% for the fricatives class and 94% for the nasal class, utilizing 1000 phonemes in phase of learning and 600 phonemes in phase of testing. Our intention is to complete the fuzzy recognizer extending this work to the other phonetic classes.

  19. Fuzzy logic control of an AGV

    NASA Astrophysics Data System (ADS)

    Kelkar, Nikhal; Samu, Tayib; Hall, Ernest L.

    1997-09-01

    Automated guided vehicles (AGVs) have many potential applications in manufacturing, medicine, space and defense. The purpose of this paper is to describe exploratory research on the design of a modular autonomous mobile robot controller. The controller incorporates a fuzzy logic approach for steering and speed control, a neuro-fuzzy approach for ultrasound sensing (not discussed in this paper) and an overall expert system. The advantages of a modular system are related to portability and transportability, i.e. any vehicle can become autonomous with minimal modifications. A mobile robot test-bed has been constructed using a golf cart base. This cart has full speed control with guidance provided by a vision system and obstacle avoidance using ultrasonic sensors. The speed and steering fuzzy logic controller is supervised by a 486 computer through a multi-axis motion controller. The obstacle avoidance system is based on a micro-controller interfaced with six ultrasonic transducers. This micro- controller independently handles all timing and distance calculations and sends a steering angle correction back to the computer via the serial line. This design yields a portable independent system in which high speed computer communication is not necessary. Vision guidance is accomplished with a CCD camera with a zoom lens. The data is collected by a vision tracking device that transmits the X, Y coordinates of the lane marker to the control computer. Simulation and testing of these systems yielded promising results. This design, in its modularity, creates a portable autonomous fuzzy logic controller applicable to any mobile vehicle with only minor adaptations.

  20. Increasing identical particle entanglement by fuzzy measurements

    SciTech Connect

    Cavalcanti, D.; Franca Santos, M.; Terra Cunha, M. O.; Lunkes, C.; Vedral, V.

    2005-12-15

    We investigate the effects of fuzzy measurements on spin entanglement for identical particles, both fermions and bosons. We first consider an ideal measurement apparatus and define operators that detect the symmetry of the spatial and spin part of the density matrix as a function of particle distance. Then, moving on to realistic devices that can only detect the position of the particle to within a certain spread, it was surprisingly found that the entanglement between particles increases with the broadening of detection.