Sample records for model project knowledge

  1. Knowledge Model: Project Knowledge Management Project title: Knowledge in a Wiki

    E-print Network

    Dolog, Peter

    D6.3 Knowledge Model: Project Knowledge Management Project title: Knowledge in a Wiki Project features and the overall design of the knowledge model for software project management. Keyword List: Project Management, Knowledge Management, Project funded by the European Commission within the Seventh

  2. Knowledge transfer among projects using a learn-forget model

    Microsoft Academic Search

    Oya I. Tukel; Walter O. Rom; Tibor Kremic

    2008-01-01

    Purpose – The purpose of this paper is to analyze the impact of learning in a project-driven organization and demonstrate analytically how the learning, which takes place during the execution of successive projects, and the forgetting that takes place during the dormant time between the project executions, can impact performance and productivity in the future. Design\\/methodology\\/approach – A learn-forget model

  3. Knowledge Transfer among Projects Using a Learn-Forget Model

    ERIC Educational Resources Information Center

    Tukel, Oya I.; Rom, Walter O.; Kremic, Tibor

    2008-01-01

    Purpose: The purpose of this paper is to analyze the impact of learning in a project-driven organization and demonstrate analytically how the learning, which takes place during the execution of successive projects, and the forgetting that takes place during the dormant time between the project executions, can impact performance and productivity in…

  4. Applying a Systematic Building Block to Project Knowledge Management

    Microsoft Academic Search

    Chia-Hsiang Ma; Ding-Bang Luh; Cheng-Yong Huang

    2008-01-01

    Current project management tools can record only project task performance, and not the knowledge context acquired from the project. This study proposes a prototype model that integrates knowledge context parameters into project management tools, such as PERT. This new model of project knowledge management tool uses building blocks to construct the entire project knowledge and flow management. To verify the

  5. Challenges in Mentoring Software Development Projects in the High School: Analysis According to Shulman's Teacher Knowledge Base Model

    ERIC Educational Resources Information Center

    Meerbaum-Salant, Orni; Hazzan, Orit

    2009-01-01

    This paper focuses on challenges in mentoring software development projects in the high school and analyzes difficulties encountered by Computer Science teachers in the mentoring process according to Shulman's Teacher Knowledge Base Model. The main difficulties that emerged from the data analysis belong to the following knowledge sources of…

  6. Knowledge Weavers Project

    NSDL National Science Digital Library

    The Spencer S. Eccles Health Sciences library at the University of Utah is responsible for the Knowledge Weavers project, which aimed to "produce innovative multimedia resources which included tutorials, interactive cases, animations and other multimedia methods of delivery to support health sciences education." There are more than two dozen resources in subjects that include neurology, nurse midwifery, cardiology, and environmental medicine. Visitors can use the Image Banks/Collections to look at "The ECG Learning Center", which includes an interactive ECG tutorial, ECG terminology, and diagnostic criteria. The "Voluntary Control of the Facial Muscles" animation under the "Animations" heading, allows visitors to see how the movement of the voluntary facial muscles are impeded by such things as infections and tumors. "EnviroDx" is under the heading "Interactive Cases" and operates as a virtual clinic for a doctor trying to diagnose a patient whose illness is likely caused by exposure to environmental factors.

  7. Knowledge Management in Chinese Construction Projects

    Microsoft Academic Search

    Youquan Xu; Xiuzhu Zhao; Dedong Wang

    2009-01-01

    It is essential to manage knowledge in construction projects, especially in China, which can reduce the cost of construction projects significantly through the reuse of knowledge. Islands of knowledge in construction projects are examined, and critical factors that have greater influence on knowledge management in construction projects are identified. They are participators ignoring knowledge management, organizational structure barriers, without common

  8. High School Students' Modeling Knowledge High School Students' Modeling Knowledge

    E-print Network

    High School Students' Modeling Knowledge High School Students' Modeling Knowledge David Fortus of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice. This study probed the modeling knowledge of high school students who had not any explicit exposure

  9. A Description Model to Support Knowledge Management

    Microsoft Academic Search

    Xiong Xie; Weishi Zhang; Lei Xu

    2006-01-01

    Knowledge management being implemented in organizations with low cost, less risk and less time is widely recognized to be one of the crucial problems. Using formal and informal methods we propose a description model to support knowledge management in an software organization with many projects and many people. The prototype system based on the model can help the organizations to

  10. Knowledge modeling for software design

    NASA Technical Reports Server (NTRS)

    Shaw, Mildred L. G.; Gaines, Brian R.

    1992-01-01

    This paper develops a modeling framework for systems engineering that encompasses systems modeling, task modeling, and knowledge modeling, and allows knowledge engineering and software engineering to be seen as part of a unified developmental process. This framework is used to evaluate what novel contributions the 'knowledge engineering' paradigm has made and how these impact software engineering.

  11. Critical factors for knowledge management in project business

    Microsoft Academic Search

    Mian Ajmal; Petri T. Helo; Tauno Kekäle

    2010-01-01

    Purpose – The purpose of this study is to identify and examine various factors that influence the success or failure of knowledge management (KM) initiatives in project-based companies. Design\\/methodology\\/approach – Following a literature review, the study proposes a conceptual model of six factors of potential importance to the success of KM initiatives. The model is then examined through an online

  12. Impact of cultural differences on knowledge management in global projects

    Microsoft Academic Search

    Vittal S. Anantatmula

    2010-01-01

    Purpose – This study aims to propose a knowledge management process model for global projects. The paper also seeks to generate interest among academic researchers for undertaking further research on this important topic. Design\\/methodology\\/approach – This research effort uses literature review findings and past research efforts of the author to develop a generic KM process model and a set of

  13. Eliciting climate experts' knowledge to address model uncertainties in regional climate projections: a case study of Guanacaste, Northwest Costa Rica

    NASA Astrophysics Data System (ADS)

    Grossmann, I.; Steyn, D. G.

    2014-12-01

    Global general circulation models typically cannot provide the detailed and accurate regional climate information required by stakeholders for climate adaptation efforts, given their limited capacity to resolve the regional topography and changes in local sea surface temperature, wind and circulation patterns. The study region in Northwest Costa Rica has a tropical wet-dry climate with a double-peak wet season. During the dry season the central Costa Rican mountains prevent tropical Atlantic moisture from reaching the region. Most of the annual precipitation is received following the northward migration of the ITCZ in May that allows the region to benefit from moist southwesterly flow from the tropical Pacific. The wet season begins with a short period of "early rains" and is interrupted by the mid-summer drought associated with the intensification and westward expansion of the North Atlantic subtropical high in late June. Model projections for the 21st century indicate a lengthening and intensification of the mid-summer drought and a weakening of the early rains on which current crop cultivation practices rely. We developed an expert elicitation to systematically address uncertainties in the available model projections of changes in the seasonal precipitation pattern. Our approach extends an elicitation approach developed previously at Carnegie Mellon University. Experts in the climate of the study region or Central American climate were asked to assess the mechanisms driving precipitation during each part of the season, uncertainties regarding these mechanisms, expected changes in each mechanism in a warming climate, and the capacity of current models to reproduce these processes. To avoid overconfidence bias, a step-by-step procedure was followed to estimate changes in the timing and intensity of precipitation during each part of the season. The questions drew upon interviews conducted with the regions stakeholders to assess their climate information needs. This study is part of the FuturAgua project funded by the Belmont Freshwater Security call. The expert opinions on expected changes in the seasonal precipitation pattern are being used to inform regional efforts to build drought resilience and to create and compare alternative water management strategies with the region's stakeholders.

  14. Modeling Cyber Knowledge uncertainty

    Microsoft Academic Search

    Dean Lee; Samuel N. Hamilton; Wendy L. Hamilton

    2011-01-01

    Sensor data can be used to provide a snapshot of the state of a mission critical network. However, sensor data and the conclusions derived from it (Cyber Knowledge) will often contain conflicting values for a given conclusion. In this paper we present a new method for representing and combining cyber knowledge that maintains accuracy even in the face of multiple

  15. Aiding knowledge capture by searching for extensions of knowledge models

    Microsoft Academic Search

    David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer; Alberto J. Cañas; Marco M. Carvalho; Marco Arguedas; Sofia Brenes; Thomas C. Eskridge

    2003-01-01

    Electronic concept mapping tools empower experts to play an active role in the knowledge capture process, and provide a medium for building richly connected multimedia knowledge models---sets of linked concept maps and resources about a particular domain. Knowledge models are intended to be used as a means for sharing knowledge among humans, not as carefully-crafted knowledge bases upon which machines

  16. Enhancing Knowledge Integration: An Information System Capstone Project

    ERIC Educational Resources Information Center

    Steiger, David M.

    2009-01-01

    This database project focuses on learning through knowledge integration; i.e., sharing and applying specialized (database) knowledge within a group, and combining it with other business knowledge to create new knowledge. Specifically, the Tiny Tots, Inc. project described below requires students to design, build, and instantiate a database system…

  17. From Project Experience to Enterprise Competitiveness: A Knowledge Management Approach

    Microsoft Academic Search

    Fangwei Zhu; Shaojun Wang

    2009-01-01

    Knowledge management (KM) has been abroad researched and applied. KM should be based on literatures in related fields. However, KM still suffers from a lack of integration with project management. This paper focus on the KM perspective, further analyzes the project management body of knowledge (PMBOK) structure, and educes four knowledge taxonomies in two dimensions: endogenesis explicit knowledge, endogenesis tacit

  18. Knowledge Modelling in Support of Knowledge Management

    Microsoft Academic Search

    Marian Mach; Tomas Sabol; Jan Paralic; Robert Kende

    2000-01-01

    A considerable amount of knowledge is scattered throughout various documents within organisations. It is quite often that this knowledge is stored somewhere without possibility of being retrieved and reused any more. As a result of this, most knowledge is not shared and is forgotten in relatively short time after it has been invented or discovered. Therefore, it has become very

  19. Identifying knowledge boundaries: the case of networked projects

    Microsoft Academic Search

    Juani Swart; Philippa Harvey

    2011-01-01

    Purpose – In an interconnected world, projects span boundaries bringing together multiple organizations that enable cross-boundary teams to contribute their collective knowledge assets. Herein lies the theoretical and managerial challenge; to date no-one has identified the “knowledge boundaries” of projects. This means knowledge resources may be duplicated or ineffectively managed, impacting on project and organizational success. This paper seeks to

  20. Developing a Theory of Knowledge Management Across Projects

    Microsoft Academic Search

    Timothy Kotnour; Rafael Landaeta

    This paper contributes a conceptu al for defining knowledge management in a project environment. Knowledge management can be broadly defined as the set of processes, tools, and techniques for the most effective and efficient use of knowledge (1). Knowledge management aims to improve, maintain, and create organizational capabilities to generate sustained competitive advantage (2). A holistic view of knowledge management

  1. Modelling project management performance

    Microsoft Academic Search

    David James Bryde

    2003-01-01

    This paper presents an argument that it is appropriate to develop a model of project management (PM) performance from models for assessing quality management. The paper presents a model, labelled the project management performance assessment (PMPA) model, based upon the EFQM business excellence model. The model proposes six criteria for assessing PM performance: project management leadership; project management staff; project

  2. Building knowledge in projects: A practical application of social constructivism to information systems development

    Microsoft Academic Search

    Paul Jackson; Jane Klobas

    2008-01-01

    Projects are collective, purposeful activities based upon the development of common understandings and interpretations of means and ends. They generate the personal and group knowledge which contribute to their own success. This article describes the development of a knowledge creation and sharing process model based upon social constructivist theory and the integration into the model of heuristics for effective knowledge

  3. Knowledge Infrastructure for Project Management1 Pankaj Jalote

    E-print Network

    Jalote, Pankaj

    Knowledge Infrastructure for Project Management1 Pankaj Jalote Department of Computer Science of areas. We will also briefly discuss how this knowledge infrastructure is used for managing a project, faster, cheaper. The main goal of knowledge management is to help reduce cost, reduce cycle time

  4. The DARPA High-Performance Knowledge Bases Project

    Microsoft Academic Search

    Paul R. Cohen; Robert Schrag; Eric K. Jones; Adam Pease; Albert Lin; Barbara Starr; David Gunning; Murray Burke

    1998-01-01

    Abstract We address the experiences of the DARPA High Performance Knowledge,Bases (HPKB) (Cohen et al., 1998) project in practical knowledge,representation. The purpose of the HPKB project was to develop new techniques for rapid development,of knowledge bases. The goal of this paper is to describe several technical issues that arose in creation of

  5. ASSESSING A KNOWLEDGE MANAGEMENT (KM) PROJECT SELECTION FRAMEWORK

    Microsoft Academic Search

    Kevin G. Budai; CAPT USAF; Alan R. Heminger; Summer Bartczak

    Knowledge management (KM) is becoming recognized as a valuable tool for establishing and maintaining competitive advantage. Decision superiority, the ultimate goal of KM, is only possible through the effective and efficient use of knowledge. But, to effectively and efficiently create and use KM, it is important to carefully select KM projects. This research assesses the usefulness of a KM project

  6. Articulation and Sharing of Distributed Design Project and Process Knowledge

    Microsoft Academic Search

    Vadim Ermolayev; Frank Dengler; Eyck Jentzsch; Wolf-Ekkehard Matzke

    \\u000a The paper reports on the work in the case study of the ACTIVE project on the use of the combination of knowledge process learning,\\u000a articulation and sharing technologies for increasing the performance and decreasing the ramp-up efforts in engineering design\\u000a projects. This knowledge is mined from distributed heterogeneous datasets, fused, and further used for visualizing design\\u000a project plan information in

  7. Enterprise knowledge modelling: Domains and aspects

    Microsoft Academic Search

    Saulius Gudas

    2009-01-01

    The paper presents the Knowledge?based Enterprise framework aimed for the analysis of knowledge management and development of an Enterprise knowledge base. The approaches concerning the modelling of enterprise domains and aspects are presented and used for the development of the concept of Enterprise Knowledge Component. The Enterprise knowledge component (B, T, K) is defined as a composition of 3 obligatory

  8. Who reads the project file? Exploring the power effects of knowledge tools in construction project management

    Microsoft Academic Search

    Daniel J. Sage; Andrew R. J. Dainty; Naomi J. Brookes

    2010-01-01

    Various critical authors have questioned the salience, efficacy and power effects of formal project management bodies of knowledge (PMBoKs). As a result project management knowledge tools are increasingly being conceptualized along more flexible, adaptable, reflexive, democratic and informal terms. A central driver for this shift is that PM knowledge will be more relevant and useful for practitioners if it can

  9. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 10: The NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

    1991-01-01

    The role of the NASA/DOD Aerospace Knowledge DIffusion Research Project in helping to maintain U.S. competitiveness is addressed. The phases of the project are examined in terms of the focus, emphasis, subjects, methods, and desired outcomes. The importance of the project to aerospace R&D is emphasized.

  10. Modelling Attacker's Knowledge for Cascade Cryptographic Protocols

    E-print Network

    Paris-Sud XI, Université de

    Modelling Attacker's Knowledge for Cascade Cryptographic Protocols Nazim Bena¨issa Universit. Communication channels are sup- posed to be unsafe. Analysing cryptographic protocols requires precise modelling of the attacker's knowledge. In this paper we use the event B modelling language to model the knowledge

  11. AMSAA maturity projection model

    Microsoft Academic Search

    Paul M. Ellner; Lindalee C. Wald

    1995-01-01

    The AMSAA parametric empirical Bayes (PEB) projection model allows the utilization of data generated over a test period [0,T] that may include several system configurations to obtain projections of future system reliability. In this paper, the authors present a PEB reliability projection method. In general, the term “projection” refers to a reliability assessment that uses a combination of test data

  12. Knowledge-based environment for hierarchical modeling and simulation

    SciTech Connect

    Kim, Taggon.

    1988-01-01

    This dissertation develops a knowledge-based environment for hierarchical modeling and simulation of discrete-event systems as the major part of a longer, ongoing research project in artificial intelligence and distributed simulation. In developing the environment, a knowledge representation framework for modeling and simulation, which unifies structural and behavioral knowledge of simulation models, is proposed by incorporating knowledge-representation schemes in artificial intelligence within simulation models. The knowledge base created using the framework is composed of a structural knowledge base called entity structure base and a behavioral knowledge base called model base. The DEVS-Scheme, a realization of DEVS (Discrete Event System Specifiation) formalism in a LISP-based, object-oriented environment, is extended to facilitate the specification of behavioral knowledge of models, especially for kernel models that are suited to model massively parallel computer architectures. The ESP Scheme, a realization of entity structure formalism in a frame-theoretic representation, is extended to represent structural knowledge of models and to manage it in the structural knowledge base.

  13. Industrial knowledge management using collaborative knowledge acquisition in a consultancy project

    Microsoft Academic Search

    K. Pimapunsri; S. Butdee; S. Tichkiewitch

    2008-01-01

    ABSTRACT Purpose: This paper proposes an industrial knowledge,management,approach that employs BSC and KPI to manage,the consultancy project and uses collaborative tools to integrate the knowledge ,from the consultant teams and the industrial partner. Design\\/methodology\\/approach:Project composes,of five consultant teams that are in charge of five different modules: production, quality, technology, finance and marketing. These five consultant teams have to collaborate and

  14. A knowledge flow model for peer-to-peer team knowledge sharing and management

    Microsoft Academic Search

    Hai Zhuge

    2002-01-01

    To realize effective knowledge sharing in teamwork, this paper proposes a knowledge flow model for peer-to-peer knowledge sharing and management in cooperative teams. The model consists of the concepts, rules and methods about the knowledge flow, the knowledge flow process model, and the knowledge flow engine. A reference model for coordinating the knowledge flow process with the workflow process is

  15. Task-structure analysis for knowledge modeling

    Microsoft Academic Search

    B. Chandrasekaran; Todd R. Johnson; Jack W. Smith

    1992-01-01

    n recent years there has been increasing interest in describing complicated information processing systems in terms of the knowledge they have, rather than by the details of their implementation. This requires a means of modeling the knowledge in a system. Several different approaches to knowledge modeling have been developed by researchers working in Artificial Intelligence (AI). Most of these approaches

  16. A Knowledge Management Maturity Model and Application

    Microsoft Academic Search

    Junwen Feng

    2006-01-01

    Many organizations have implemented knowledge management which has emerged as an issue that managers have to deal with. . In order to evaluate the difference among organizations' knowledge management practices, it is necessary to construct a knowledge management maturity model. Based on the concept of continuous process improvement and the capability maturity model (CMM) of the Software Engineering Institute (SEI),

  17. Computational Everyday Life Human Behavior Model as Servicable Knowledge

    NASA Astrophysics Data System (ADS)

    Motomura, Yoichi; Nishida, Yoshifumi

    A project called `Open life matrix' is not only a research activity but also real problem solving as an action research. This concept is realized by large-scale data collection, probabilistic causal structure model construction and information service providing using the model. One concrete outcome of this project is childhood injury prevention activity in new team consist of hospital, government, and many varieties of researchers. The main result from the project is a general methodology to apply probabilistic causal structure models as servicable knowledge for action research. In this paper, the summary of this project and future direction to emphasize action research driven by artificial intelligence technology are discussed.

  18. Enrollment Projection Model.

    ERIC Educational Resources Information Center

    Gustafson, B. Kerry; Hample, Stephen R.

    General documentation for the Enrollment Projection Model used by the Maryland Council for Higher Education (MCHE) is provided. The manual is directed toward both the potential users of the model as well as others interested in enrollment projections. The first four chapters offer administrators or planners insight into the derivation of the…

  19. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 16: Aerospace knowledge diffusion research

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.; White, Terry F.; Jones, Ray (editor)

    1991-01-01

    The project is a cooperative US effort between NASA, DoD, and Indiana University. This research was endorsed by the AGARD Technical Information Panel and the American Institute of Aeronautics and Astronautics (AIAA) Technical Information Committee. The four-phase inquiry focuses on scientific and technical information (STI) as knowledge, the channels through which this knowledge is communicated, and the members of the social system associated with and involved in diffusing this knowledge throughout the aerospace community. The project is based on two premises: (1) although STI is essential to innovation, STI by itself does not ensure innovation; and (2) utilizing existing STI or creating new STI, does often facilitate technological innovation. The topics covered include the following: information-seeking habits, knowledge transfer, academic sector, non-US organizations, present status, comparative study, and timetable.

  20. Technologies, Products, and Models Supporting Knowledge Management.

    ERIC Educational Resources Information Center

    Luan, Jing; Serban, Andreea M.

    2002-01-01

    Based on a taxonomy of knowledge management processes, provides a synopsis of technologies and vendors that support knowledge management. Proposes a model for classifying the various types of technologies related to knowledge management that are most often used in institutional research. (EV)

  1. Modeling Spatial Knowledge Benjamin Kuipers

    E-print Network

    Kuipers, Benjamin

    's cognitive map, or knowledge of large-scale space, is built up from observations gathered as he travels and inference mechanisms for that knowledge in the cognitive map that deals with large-scale spatial relations contract N00014-75-C-0643. 1 #12;Kuipers, Cognitive Science 2: 129 153, 1978 2 Large-scale space is space

  2. Image-based 3D modeling for the knowledge and the representation of archaeological dig and pottery: Sant'Omobono and Sarno project's strategies

    NASA Astrophysics Data System (ADS)

    Gianolio, S.; Mermati, F.; Genovese, G.

    2014-06-01

    This paper presents a "standard" method that is being developed by ARESlab of Rome's La Sapienza University for the documentation and the representation of the archaeological artifacts and structures through automatic photogrammetry software. The image-based 3D modeling technique was applied in two projects: in Sarno and in Rome. The first is a small city in Campania region along Via Popilia, known as the ancient way from Capua to Rhegion. The interest in this city is based on the recovery of over 2100 tombs from local necropolis that contained more than 100.000 artifacts collected in "Museo Nazionale Archeologico della Valle del Sarno". In Rome the project regards the archaeological area of Insula Volusiana placed in Forum Boarium close to Sant'Omobono sacred area. During the studies photographs were taken by Canon EOS 5D Mark II and Canon EOS 600D cameras. 3D model and meshes were created in Photoscan software. The TOF-CW Z+F IMAGER® 5006h laser scanner is used to dense data collection of archaeological area of Rome and to make a metric comparison between range-based and image-based techniques. In these projects the IBM as a low-cost technique proved to be a high accuracy improvement if planned correctly and it shown also how it helps to obtain a relief of complex strata and architectures compared to traditional manual documentation methods (e.g. two-dimensional drawings). The multidimensional recording can be used for future studies of the archaeological heritage, especially for the "destructive" character of an excavation. The presented methodology is suitable for the 3D registration and the accuracy of the methodology improved also the scientific value.

  3. Modelling knowledge in business processes: a case study of Croatian banks

    Microsoft Academic Search

    Vesna Bosilj Vuksic

    2005-01-01

    Knowledge management is the systematic approach to controlling set up processes, distribution and applying knowledge and creating the necessary framework conditions for this. Organisational knowledge as an important element of the entire business knowledge could be systemized, documented and retrieved in business process repository developed by business process modelling tools, within business process change projects. This paper describes an approach

  4. MODELLING AND SIMULATING PROCESS-ORIENTED KNOWLEDGE MANAGEMENT

    E-print Network

    Anjewierden, Anjo

    scenarios. Key words: process-oriented knowledge management, knowledge management business modelMODELLING AND SIMULATING PROCESS-ORIENTED KNOWLEDGE MANAGEMENT Irina Shostak¹, Anjo Anjewierden and executable model of a company that includes business processes, knowledge processes and the relationships

  5. Model Docking Using Knowledge-Level Analysis

    NASA Astrophysics Data System (ADS)

    Trewhitt, Ethan; Whitaker, Elizabeth; Briscoe, Erica; Weiss, Lora

    This paper presents an initial approach for exploring the docking of social models at the knowledge level. We have prototyped a simple blackboard environment allowing for model docking experimentation. There are research challenges in identifying which models are appropriate to dock and the concepts that they should exchange to build a richer multi-scale view of the world. Our early approach includes docking of societal system dynamics models with individual and organizational behaviors represented in agent-based models. Case-based models allow exploration of historical knowledge by other models. Our research presents initial efforts to attain opportunistic, asynchronous interactions among multi-scale models through investigation and experimentation of knowledge-level model docking. A docked system can supply a multi-scale modeling capability to support a user's what-if analysis through combinations of case-based modeling, system dynamics approaches and agent-based models working together. An example is provided for the domain of terrorist recruiting.

  6. Project title: The silent aircraft initiative (Knowledge Integration Community)

    E-print Network

    2009-10-13

    How can my organisation get involved? We are interested to hear from anyone connected with air transport, education, knowledge exchange or public service. For more information about any aspect of the Silent Aircraft Initiative or how you... will benefit from partnership, please contact: Paul Collins Project Manager, Silent Aircraft Initiative Courtyard 1 Department of Engineering University of Cambridge Trumpington Street Cambridge UK CB2 1PZ T: +44 (0)1223 330271 F: +44 (0)1223 332662 M: +44 (0...

  7. The Penman project on knowledge-based machine translation

    Microsoft Academic Search

    Eduard Hovy

    1993-01-01

    The joint development, together with the ULTRA project at New Mexico State University and the Center for Machine Translation at Carnegie Mellon University, of an integrated knowledge-based machine-aided translation system called PANGLOSS. The ISI-specific work includes the development of English sentence generation and sentence planning capabilities and the construction of an Ontology of concepts to act as the semantic lexicon

  8. Protocol for a qualitative study of knowledge translation in a participatory research project

    PubMed Central

    Lillehagen, Ida; Vøllestad, Nina; Heggen, Kristin; Engebretsen, Eivind

    2013-01-01

    Introduction In this article, we present a methodological design for qualitative investigation of knowledge translation (KT) between participants in a participatory research project. In spite of a vast expansion of conceptual models and frameworks for conducting KT between research and practice, few models emphasise how KTs come about. Better understanding of the actions and activities involved in a KT process is important for promoting diffusion of knowledge and improving patient care. The purpose of this article is to describe a methodological design for investigating how KTs come about in participatory research. Methods and analysis The article presents an ethnographic study which investigates meetings between participants in a participatory research project. The participants are researchers and primary healthcare clinicians. Data are collected through observation, interviews and document studies. The material is analysed using the analytical concepts of knowledge objects, knowledge forms and knowledge positions. These concepts represent an analytical framework enabling us to observe knowledge and how it is translated between participants. The main expected outcome of our study is to develop a typology of KT practices relevant to participatory research. Ethics and dissemination The project has been evaluated and approved by the Norwegian Social Science Data Services. Informed consent was obtained for all participants. The findings from this study will be disseminated through peer-reviewed publications and national and international conference presentations. PMID:23959758

  9. Modeling Spatial Knowledge \\Lambda Benjamin Kuipers

    E-print Network

    Kuipers, Benjamin

    hole. We are concerned here with everyday activities: learning and problem solv­ ing in a largeModeling Spatial Knowledge \\Lambda Benjamin Kuipers Cognitive Science 2: 129­153, 1978. Abstract A person's cognitive map, or knowledge of large­scale space, is built up from observations gathered as he

  10. Scientific knowledge and attitude change: The impact of a citizen science project

    Microsoft Academic Search

    Dominique Brossard; Bruce Lewenstein; Rick Bonney

    2005-01-01

    This paper discusses the evaluation of an informal science education project, The Birdhouse Network (TBN) of the Cornell Laboratory of Ornithology. The Elaboration Likelihood Model and the theory of Experiential Education were used as frameworks to analyse the impact of TBN on participants' attitudes toward science and the environment, on their knowledge of bird biology, and on their understanding of

  11. Project Knowledge Management Organizational Design and Success Factors - An Empirical Study in Germany

    Microsoft Academic Search

    Patricia Frey; Frank Lindner; Ana Müller; Andreas Wald

    2009-01-01

    The efficient and effective management of projects is a key success factor for many organizations. Empirical studies indicate that systematic know-how transfer from, between and within projects has significant impact on the success of projects. However, the role of knowledge management in projects has been insufficiently investigated. This research aims at spotting the status quo and causalities of project knowledge

  12. Practical Knowledge Builds Projects: Case for Independent Construction Information Management Proceedings IGLC '98

    E-print Network

    Tommelein, Iris D.

    Practical Knowledge Builds Projects: Case for Independent Construction Information Management Knowledge: How Organizations Manage What They Know", Thomas Davenport and Laurence Prusak explain process under independent management, we will create knowledge by making unprecedented amounts of reliable

  13. A Conceptual Model of Organizational Learning Based on Knowledge Sharing

    Microsoft Academic Search

    Li Zhang; Yezhuang Tian; Zhongying Qi

    2006-01-01

    Knowledge has been the critical asset in organizations. Knowledge sharing is the basis of knowledge activities. And organizational learning is the basic way to make knowledge work more. This paper describes a conceptual model of organizational learning based on knowledge sharing. According to the factors influencing knowledge sharing, this paper analyzes the difficulties of knowledge sharing. Based on the system

  14. Knowledge representation to support reasoning based on multiple models

    NASA Technical Reports Server (NTRS)

    Gillam, April; Seidel, Jorge P.; Parker, Alice C.

    1990-01-01

    Model Based Reasoning is a powerful tool used to design and analyze systems, which are often composed of numerous interactive, interrelated subsystems. Models of the subsystems are written independently and may be used together while they are still under development. Thus the models are not static. They evolve as information becomes obsolete, as improved artifact descriptions are developed, and as system capabilities change. Researchers are using three methods to support knowledge/data base growth, to track the model evolution, and to handle knowledge from diverse domains. First, the representation methodology is based on having pools, or types, of knowledge from which each model is constructed. In addition information is explicit. This includes the interactions between components, the description of the artifact structure, and the constraints and limitations of the models. The third principle we have followed is the separation of the data and knowledge from the inferencing and equation solving mechanisms. This methodology is used in two distinct knowledge-based systems: one for the design of space systems and another for the synthesis of VLSI circuits. It has facilitated the growth and evolution of our models, made accountability of results explicit, and provided credibility for the user community. These capabilities have been implemented and are being used in actual design projects.

  15. Using Models of Partial Knowledge to Test Model Transformations

    E-print Network

    Paris-Sud XI, Université de

    Using Models of Partial Knowledge to Test Model Transformations Sagar Sen1, Jean-Marie Mottu2-marie.mottu@univ-nantes.fr Abstract. Testers often use partial knowledge to build test models. This knowl- edge comes from sources such as requirements, known faults, existing inputs, and execution traces. In Model-Driven Engineering, test inputs

  16. An Integrated Model of Collaborative Knowledge Building

    Microsoft Academic Search

    Gurparkash Singh; Louise Hawkins; Greg Whymark

    This paper describes a model for studying collaborative knowledge building (CKB) as a group activity. We integrate the model described by Stahl (2000a) with an analysis based on the princi- ples of cultural historical activity theory (CHAT), using the analysis of a self reflective case study to guide the description. The concept of the CKB activity system is developed, and

  17. Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge

    E-print Network

    Paris-Sud XI, Université de

    Knowledge Based Enterprise Engineering (KBEE): a modeling framework for enterprise knowledge and knowledge management within the framework of enterprises. To do so, we evaluate some important methodologies, CIMOSA, and GIM methodologies and their modeling views we propose a generic framework to model knowledge

  18. Constructing a knowledge management maturity model from perspective of knowledge management

    Microsoft Academic Search

    Junwen Feng

    2005-01-01

    In the knowledge-based economy, knowledge has become an important asset in an organization and consequently, knowledge management has emerged as an issue that managers have to deal with. Therefore, this paper aims to construct a knowledge management maturity model to evaluate the differences of organizations' knowledge management practices. A commercial bank will be taken as an example to illustrate the

  19. Prediction Markets Partition model of knowledge

    E-print Network

    Fiat, Amos

    Prediction Markets Partition model of knowledge Distributed information markets Convergence time bounds Computational Aspects of Prediction Markets David M. Pennock and Rahul Sami December 5, 2012 Presented by: Rami Eitan David M. Pennock and Rahul Sami Computational Aspects of Prediction Markets #12

  20. A knowledge discovery object model API for Java

    PubMed Central

    Zuyderduyn, Scott D; Jones, Steven JM

    2003-01-01

    Background Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objective has yet to be fully realized. Results This work describes an application programming interface (API) that provides a framework for developing an effective biological knowledge ontology for Java-based software projects. The API provides a robust framework for the data acquisition and management needs of an ontology implementation. In addition, the API contains classes to assist in creating GUIs to represent this data visually. Conclusions The Knowledge Discovery Object Model (KDOM) API is particularly useful for medium to large applications, or for a number of smaller software projects with common characteristics or objectives. KDOM can be coupled effectively with other biologically relevant APIs and classes. Source code, libraries, documentation and examples are available at . PMID:14583100

  1. Improving science literacy: The knowledge-transforming process within an on-line professional development project

    NASA Astrophysics Data System (ADS)

    Sherwood, Susan A.

    2008-10-01

    This study examined connections between science literacy and writing. Science e-mails were written as content-oriented professional development materials for K-8 teachers. E-mail drafts underwent multiple revisions. The study data included drafts, final e-mails, and feedback from the supervising scientist and the e-mails' teacher audience. The analyses, informed by Bereiter & Scardamalia's knowledge-transforming process (1987), Schindler's audience theories (2001), and Johnson and Aragon's on-line instruction framework (2003), sought connections among three components: the writer's struggle between content and discourse, audience, and format. The e-mail drafts indicated a large percentage of text changes involving two or more of the components, primarily concerning discourse. Redundancies surfaced among the components, indicating Bereiter and Scardamalia's knowledge-transforming process sufficiently explained the e-mail project; additional format and audience models were unnecessary. Recommendations for extending the knowledge-transforming process specifically for science are included.

  2. Reusable Knowledge-based Components for Building Software Applications: A Knowledge Modelling Approach

    E-print Network

    Molina, Martín

    1 Reusable Knowledge-based Components for Building Software Applications: A Knowledge Modelling environment developed by our group that assists developers in building knowledge-based or conventional of reusable component, called primitive of representation, inspired by a knowledge-based approach that can

  3. Knowledge Capability: A Definition and Research Model

    Microsoft Academic Search

    Ye Ning; Zhi-ping Fan; Bo Feng

    2006-01-01

    Basing on the view of dynamic capacity and knowledge-based view, this paper explores the definition and dimensions of knowledge\\u000a capability. Differing from previous literature that think knowledge capability is the sum total of the knowledge assets of\\u000a organizations, this paper defines knowledge capability as including both knowledge assets and knowledge operating capacities.\\u000a And it is proposed that knowledge capability is

  4. Knowledge tasks and teleworking: a taxonomy model of feasibility adoption

    Microsoft Academic Search

    Manuela Pérez Pérez; Angel Martínez Sánchez; Ma Pilar de Luis Carnicer; Ma José Vela Jiménez

    2002-01-01

    This paper develops a framework to study the potential feasibility to telework knowledge tasks and jobs. The model analyzes the knowledge tasks according to four basic knowledge processes: generation; codification; storage; and transfer. This taxonomy is used together with the distribution of productive work time of knowledge workers to ellaborate groups of knowledge tasks that are more suitable to be

  5. From data to knowledge--the Visible Human Project continues.

    PubMed

    Ackerman, M J; Yoo, T; Jenkins, D

    2001-01-01

    The U. S. National Library of Medicine (NLM) has long been a world leader in the archiving and distribution of the print-based images of biology and medicine. NLM has also been a pioneer in the use of computer systems to encode and distribute textual knowledge of the life sciences. NLM's Long Range Planning effort of 1985-86 foresaw a coming era where NLM's Bibliographic and factual database services would be complemented by libraries of digital images, distributed over high speed computer networks. The NLM Planning Panel on Electronic Imaging recommended that NLM should undertake the building a digital image library consisting of computerized tomography (CT) and magnetic resonance (MR) images, and cryosection images of a representative, carefully selected and prepared male and female cadaver--the "Visible Human Project ." The male and female Visible Human data sets are now being made available through a license agreement with the NLM. The data sets are supporting a wide range of educational, diagnostic, treatment planning, and commercial uses. The NLM, in partnership with other U.S. government research agencies has begun a three prong effort within the Visible Human Project to address: the creation of a new online, interactive, digital head-and-neck atlas; the development of a tool kit of computational programs capable of automatically performing many of the basic data handling functions required for using Visible Human data in applications; and the improved resolution of future Visible Human data sets through the reduction of the anatomical artifacts introduced by the methods used to stabilize and section the anatomical materials and the development of staining and wide-spectrum methods for increasing tissue contrast. PMID:11604860

  6. World Knowledge in Computational Models of Discourse Comprehension

    ERIC Educational Resources Information Center

    Frank, Stefan L.; Koppen, Mathieu; Noordman, Leo G. M.; Vonk, Wietske

    2008-01-01

    Because higher level cognitive processes generally involve the use of world knowledge, computational models of these processes require the implementation of a knowledge base. This article identifies and discusses 4 strategies for dealing with world knowledge in computational models: disregarding world knowledge, "ad hoc" selection, extraction from…

  7. On constructing a knowledge management pyramid model

    Microsoft Academic Search

    Ying-hsun Hung; Seng-cho Timothy Chou

    2005-01-01

    In this knowledge-based economy, knowledge has become an important asset to an organization and, consequently, knowledge management has emerged, as issue managers have to deal with Peter F. Drucker (1993) said that knowledge would be the only competitive resource for companies in the future. This is an era in which knowledge plays a dominant role in our daily business lives.

  8. Multimedia Project Studio Service Model

    E-print Network

    McShea, Daniel W.

    Multimedia Project Studio Service Model Over the course of the summer of 2010, we took a fresh look at the MPS Service Model. The goal was to ensure the MPS is meeting campus needs in the multimedia support to engage the campus community effectively in an ongoing fashion. #12;Multimedia Project Studio - Service

  9. Casimir: Comprehensive Computational Modeling of Mental Spatial Knowledge Processing

    E-print Network

    Bremen, Universität

    Casimir: Comprehensive Computational Modeling of Mental Spatial Knowledge Processing Holger main finding is that spatial cognition processes employ special types of mental representations, namely. A comprehensive computational model of mental spatial knowledge processing that employs analogical representations

  10. Knowledge Wisdom and Networks: A Project Management Centre of Excellence Example

    ERIC Educational Resources Information Center

    Walker, Derek H. T.; Christenson, Dale

    2005-01-01

    Purpose: This conceptual paper aims to explain how "project management centres of excellence (CoEs)", a particular class of knowledge network, can be viewed as providing great potential for assisting project management (PM) teams to make wise decisions. Design/methodology/approach: The paper presents a range of knowledge network types and…

  11. Collaborative Learning Using a Project across Multiple Business Courses: A Cognitive Load and Knowledge Convergence Approach

    ERIC Educational Resources Information Center

    Bhowmick, Sandeep; Chandra, Aruna; Harper, Jeffrey S.; Sweetin, Vernon

    2015-01-01

    Four business professors at a state university in the Midwestern United States launched a collaborative learning project grounded in cognitive learning theory and knowledge convergence theory with the objective of assessing student learning gains in cross-functional knowledge (CFK), course-related knowledge (CRK), and overall satisfaction with…

  12. Applying knowledge compilation techniques to model-based reasoning

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.

    1991-01-01

    Researchers in the area of knowledge compilation are developing general purpose techniques for improving the efficiency of knowledge-based systems. In this article, an attempt is made to define knowledge compilation, to characterize several classes of knowledge compilation techniques, and to illustrate how some of these techniques can be applied to improve the performance of model-based reasoning systems.

  13. Knowledge Provenance: An Approach to Modeling and Maintaining The Evolution and Validity of Knowledge

    E-print Network

    Fox, Mark S.

    Knowledge Provenance: An Approach to Modeling and Maintaining The Evolution and Validity of Knowledge Mark S. Fox and Jingwei Huang Enterprise Integration Laboratory, University of Toronto 40 St. This paper addresses the problem of how to determine the validity and origin of information/knowledge

  14. Use of a Knowledge Management System in Waste Management Projects

    Microsoft Academic Search

    D. Gruendler; W. U. Boetsch; U. Holzhauer; R. A. Nies

    2006-01-01

    In Germany the knowledge management system 'WasteInfo' about waste management and disposal issues has been developed and implemented. Beneficiaries of 'WasteInfo' are official decision makers having access to a large information pool. The information pool is fed by experts, so called authors This means compiling of information, evaluation and assigning of appropriate properties (metadata) to this information. The knowledge management

  15. Building Context with Tumor Growth Modeling Projects in Differential Equations

    ERIC Educational Resources Information Center

    Beier, Julie C.; Gevertz, Jana L.; Howard, Keith E.

    2015-01-01

    The use of modeling projects serves to integrate, reinforce, and extend student knowledge. Here we present two projects related to tumor growth appropriate for a first course in differential equations. They illustrate the use of problem-based learning to reinforce and extend course content via a writing or research experience. Here we discuss…

  16. Velo: Riding the Knowledge Management Wave for Simulation and Modeling

    SciTech Connect

    Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Madison, Michael C.; Schuchardt, Karen L.

    2011-05-28

    Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations. Further, these results must be managed and archived to provide justifications for publications and regulatory decisions that are based on these models. In this paper we describe our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates, and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. In this paper we describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate a realization of Velo, we describe the Geologic Sequestration Software Suite (GS3) that has been developed to support geologic sequestration modeling. This provides a concrete example of the inherent extensibility and utility of our approach.

  17. Velo: A Knowledge Management Framework for Modeling and Simulation

    SciTech Connect

    Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Lansing, Carina S.; Madison, Michael C.; Schuchardt, Karen L.; Liu, Yan

    2012-03-01

    Modern scientific enterprises are inherently knowledge-intensive. Scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data to create inputs for large-scale computational simulations. The results of these simulations are then analyzed, leading to refinements of inputs and models and additional simulations. The results of this process must be managed and archived to provide justifications for regulatory decisions and publications that are based on the models. In this paper we introduce our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. We describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate realizations of Velo, we describe examples from two deployed sites for carbon sequestration and climate modeling. These provide concrete example of the inherent extensibility and utility of our approach.

  18. Agent-Based Knowledge Discovery for Modeling and Simulation

    SciTech Connect

    Haack, Jereme N.; Cowell, Andrew J.; Marshall, Eric J.; Fligg, Alan K.; Gregory, Michelle L.; McGrath, Liam R.

    2009-09-15

    This paper describes an approach to using agent technology to extend the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF). KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a semantic wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  19. Knowledge Visualization: A Comparative Study between Project Tube Maps and Gantt Charts

    E-print Network

    Kent, University of

    Knowledge Visualization: A Comparative Study between Project Tube Maps and Gantt Charts Remo Aslak: This paper compares the effectiveness of the Project Tube Map and the Gantt Chart for interfunctional. The Project Tube Map has been introduced earlier as an approach to overcome these limitations. This paper

  20. A Model of Values and Actions for Personal Knowledge Management

    ERIC Educational Resources Information Center

    Zuber-Skerritt, Ortrun

    2005-01-01

    Purpose: The purpose of this paper is to present a "soft methodology" model in knowledge management that addresses the problem of accessing and managing one particular type of knowledge: personal (implicit/tacit) knowledge. Design/methodology/approach: The model is based on the theories and methodologies of grounded theory, adult learning,…

  1. Modeling student knowledge with self-organizing feature maps

    Microsoft Academic Search

    Steven A. Harp; Tariq Samad; Michael Villano

    1995-01-01

    The paper describes a novel application of neural networks to model the behavior of students in the context of an intelligent tutoring system. Self-organizing feature maps are used to capture the possible states of student knowledge from an existing test database. The trained network implements a universal student knowledge model that is compatible with knowledge space theory approaches to student

  2. KNOWLEDGE ACQUISITION MODELING THROUGH DIALOGUE BETWEEN COGNITIVE AGENTS

    E-print Network

    Paris-Sud XI, Université de

    KNOWLEDGE ACQUISITION MODELING THROUGH DIALOGUE BETWEEN COGNITIVE AGENTS Keywords: Intelligent for agents to acquire knowledge, as it often happens in natural situations. Since this restriction has a dialogue model devoted to knowledge acquisition. It allows two agents, in a 'teacher' - 'student

  3. NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 30: The electronic transfer of information and aerospace knowledge diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Bishop, Ann P.; Barclay, Rebecca O.; Kennedy, John M.

    1992-01-01

    Increasing reliance on and investment in information technology and electronic networking systems presupposes that computing and information technology will play a major role in the diffusion of aerospace knowledge. Little is known, however, about actual information technology needs, uses, and problems within the aerospace knowledge diffusion process. The authors state that the potential contributions of information technology to increased productivity and competitiveness will be diminished unless empirically derived knowledge regarding the information-seeking behavior of the members of the social system - those who are producing, transferring, and using scientific and technical information - is incorporated into a new technology policy framework. Research into the use of information technology and electronic networks by U.S. aerospace engineers and scientists, collected as part of a research project designed to study aerospace knowledge diffusion, is presented in support of this assertion.

  4. Modelling knowledge in Electronic Study Books

    Microsoft Academic Search

    C. Hoede

    1994-01-01

    Knowledge graphs are a new form of knowledge representation. They are closely related to semantic networks and can be looked upon as in line with Schank's conceptual dependency theory and Sowa's conceptual graphs. The special feature of knowledge graphs is the use of a very restricted set of types of relations, that is considered to be the basic set of

  5. NOTES TOWARD A MODEL FOR THE STRUCTURE OF KNOWLEDGE SYSTEMS

    E-print Network

    Futrell, Richard H.

    1972-10-01

    This paper reviews two formulations of some structural aspects of knowledge systems. These two structural specifications of knowledge systems, by Judith Willer and by Norwood Russell Hanson, are then combined to suggest a model for relating several...

  6. A Model for Knowledge Innovation in Online Learning Community

    Microsoft Academic Search

    Qinglong Zhan

    2008-01-01

    This paper describes how to introduce the mechanism of knowledge innovation into online learning community (OLC) and constructs\\u000a a model which can facilitate innovative knowledge and develop online learner’s ability of knowledge innovation. The model\\u000a is represented by three levels, namely: individual, collaborative and intermediary level, which is based on theories of knowledge\\u000a creation and management, cognitive and social constructivism.

  7. Unsaturated Zone Flow Model Expert Elicitation Project

    SciTech Connect

    Coppersmith, K.J.

    1997-05-30

    This report presents results of the Unsaturated Zone Flow Model Expert Elicitation (UZFMEE) project at Yucca Mountain, Nevada. This project was sponsored by the US Department of Energy (DOE) and managed by Geomatrix Consultants, Inc. (Geomatrix), for TRW Environmental Safety Systems, Inc. The objective of this project was to identify and assess the uncertainties associated with certain key components of the unsaturated zone flow system at Yucca Mountain. This assessment reviewed the data inputs, modeling approaches, and results of the unsaturated zone flow model (termed the ''UZ site-scale model'') being developed by Lawrence Berkeley National Laboratory (LBNL) and the US Geological Survey (USGS). In addition to data input and modeling issues, the assessment focused on percolation flux (volumetric flow rate per unit cross-sectional area) at the potential repository horizon. An understanding of unsaturated zone processes is critical to evaluating the performance of the potential high-level nuclear waste repository at Yucca Mountain. A major goal of the project was to capture the uncertainties involved in assessing the unsaturated flow processes, including uncertainty in both the models used to represent physical controls on unsaturated zone flow and the parameter values used in the models. To ensure that the analysis included a wide range of perspectives, multiple individual judgments were elicited from members of an expert panel. The panel members, who were experts from within and outside the Yucca Mountain project, represented a range of experience and expertise. A deliberate process was followed in facilitating interactions among the experts, in training them to express their uncertainties, and in eliciting their interpretations. The resulting assessments and probability distributions, therefore, provide a reasonable aggregate representation of the knowledge and uncertainties about key issues regarding the unsaturated zone at the Yucca Mountain site.

  8. Cost elasticity analyzing model of construct project

    Microsoft Academic Search

    Dongbing Huang; Wen Zhang

    2008-01-01

    To solve project cost control problem, the concept of project cost elasticity is introduced and the model of project cost elasticity analysis is proposed. Case study shows that the cost elasticity model is useful and helpful to control project costs. Finally, a road map is provided for stockholders to use cost elasticity model to control project costs.

  9. Knowledge-Based Indexing of the Medical Literature: The Indexing Aid Project.

    ERIC Educational Resources Information Center

    Humphrey, Suzanne; Miller, Nancy E.

    1987-01-01

    Describes the National Library of Medicine's (NLM) Indexing Aid Project for conducting research in knowledge representation and indexing for information retrieval, whose goal is to develop interactive knowledge-based systems for computer-assisted indexing of the periodical medical literature. Appendices include background information on NLM…

  10. A Knowledge Management Support Environment based on Dual Loop Model

    E-print Network

    Mizoguchi, Riichiro

    A Knowledge Management Support Environment based on Dual Loop Model Mitsuru Ikeda, Yusuke Hayashi individuals and organizations be properly understood and support learning for knowledge inheritance, and encourage the creation, the spreading and inheriting of new knowledge. This paper presents an framework

  11. Learning Design Based on Graphical Knowledge-Modelling

    ERIC Educational Resources Information Center

    Paquette, Gilbert; Leonard, Michel; Lundgren-Cayrol, Karin; Mihaila, Stefan; Gareau, Denis

    2006-01-01

    This chapter states and explains that a Learning Design is the result of a knowledge engineering process where knowledge and competencies, learning design and delivery models are constructed in an integrated framework. We present a general graphical language and a knowledge editor that has been adapted to support the construction of learning…

  12. Partnerships for Knowledge Building: An Emerging Model

    ERIC Educational Resources Information Center

    Laferriere, Therese; Montane, Mireia; Gros, Begona; Alvarez, Isabel; Bernaus, Merce; Breuleux, Alain; Allaire, Stephane; Hamel, Christine; Lamon, Mary

    2010-01-01

    Knowledge Building is approached in this study from an organizational perspective, with a focus on the nature of school-university-government partnerships to support research-based educational innovation. The paper starts with an overview of what is known about effective partnerships and elaborates a conceptual framework for Knowledge Building…

  13. Knowledge Acquisition for Learner Modelling in Second Language Learning

    E-print Network

    Paris-Sud XI, Université de

    Knowledge Acquisition for Learner Modelling in Second Language Learning Thierry Chanier1, Michael) "Knowledge Acquisition for Learner Modelling in Second Language Learning". Cognitive Modelling and Interactive Environment in Language Learning, Engel F.L., Bouwhuis D.G., Bösser T., d'Ydewalle G. (dir

  14. Chemistry Teachers' Knowledge and Application of Models

    ERIC Educational Resources Information Center

    Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

    2014-01-01

    Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The…

  15. Data Mining and Knowledge Management: A System Analysis for Establishing a Tiered Knowledge Management Model.

    ERIC Educational Resources Information Center

    Luan, Jing; Willett, Terrence

    This paper discusses data mining--an end-to-end (ETE) data analysis tool that is used by researchers in higher education. It also relates data mining and other software programs to a brand new concept called "Knowledge Management." The paper culminates in the Tier Knowledge Management Model (TKMM), which seeks to provide a stable structure with…

  16. Improved knowledge diffusion model based on the collaboration hypernetwork

    NASA Astrophysics Data System (ADS)

    Wang, Jiang-Pan; Guo, Qiang; Yang, Guang-Yong; Liu, Jian-Guo

    2015-06-01

    The process for absorbing knowledge becomes an essential element for innovation in firms and in adapting to changes in the competitive environment. In this paper, we present an improved knowledge diffusion hypernetwork (IKDH) model based on the idea that knowledge will spread from the target node to all its neighbors in terms of the hyperedge and knowledge stock. We apply the average knowledge stock V(t) , the variable ?2(t) , and the variance coefficient c(t) to evaluate the performance of knowledge diffusion. By analyzing different knowledge diffusion ways, selection ways of the highly knowledgeable nodes, hypernetwork sizes and hypernetwork structures for the performance of knowledge diffusion, results show that the diffusion speed of IKDH model is 3.64 times faster than that of traditional knowledge diffusion (TKDH) model. Besides, it is three times faster to diffuse knowledge by randomly selecting "expert" nodes than that by selecting large-hyperdegree nodes as "expert" nodes. Furthermore, either the closer network structure or smaller network size results in the faster knowledge diffusion.

  17. KNOWLEDGE CAPTURE AND PRESERVATION AT CERNAVODA UNIT 2 PROJECT

    Microsoft Academic Search

    M. Condu; T. Chirica; D. Popescu; N. Marculescu

    Cernavoda Unit 2 - Romania, is a delayed nuclear power plant (NPP), started in early '80s, works were frozen in 1990 and resumed in 2003. This project has many specificities, including long time stored equipment, some works done 15 to 20 years ago; technology developments during these years; only couple of staff available from those initially involved; and a forthcoming

  18. Terrorism Knowledge Discovery Project: A Knowledge Discovery Approach to Addressing the Threats of Terrorism

    Microsoft Academic Search

    Edna Reid; Jialun Qin; Wingyan Chung; Jennifer Jie Xu; Yilu Zhou; Robert P. Schumaker; Marc Sageman; Hsinchun Chen

    2004-01-01

    Ever since the 9-11 incident, the multidisciplinary field of terrorism has experienced tremendous growth. As the domain has benefited greatly from recent advances in information technologies, more complex and challeng- ing new issues have emerged from numerous counter-terrorism-related research communities as well as governments of all levels. In this paper, we describe an advanced knowledge discovery approach to addressing terrorism

  19. MODELLING AND MANAGING KNOWLEDGE THROUGH DIALOGUE: A MODEL OF COMMUNICATION-BASED

    E-print Network

    Paris-Sud XI, Université de

    MODELLING AND MANAGING KNOWLEDGE THROUGH DIALOGUE: A MODEL OF COMMUNICATION-BASED KNOWLEDGE France Email: prince@lirmm.fr Keywords: Knowledge Management, Knowledge sharing, Multi-agent systems management. 1 INTRODUCTION Knowledge has muted from a personal expertise to- wards a collective lore. Thus

  20. Cultural impacts on knowledge management and learning in project-based firms

    Microsoft Academic Search

    Mian M. Ajmal; Tauno Kekäle; Josu Takala

    2009-01-01

    Purpose – Projects almost invariably involve a variety of diversely skilled people from different national, organisational, and professional cultural backgrounds. These people come together for a specific period of time to accomplish certain unique, unpredictable, and complex objectives. These distinctive characteristics mean that project-based firms require a particular approach to knowledge management (KM) and learning activities that differs significantly from

  1. Design Knowledge Interplayed with Student Creativity in D&T Projects

    ERIC Educational Resources Information Center

    Esjeholm, Bjørn-Tore

    2015-01-01

    This study explores how theoretical elements of design knowledge relate to notions of creativity found in literature. The results of this exploration are further applied to analyze four different cross-curricular design and technology projects in Norwegian primary and lower secondary school. All of the school projects examined were intended to be…

  2. Project-Based Learning and Student Knowledge Construction during Asynchronous Online Discussion

    ERIC Educational Resources Information Center

    Koh, Joyce Hwee Ling; Herring, Susan C.; Hew, Khe Foon

    2010-01-01

    Project-based learning engages students in problem solving through artefact design. However, previous studies of online project-based learning have focused primarily on the dynamics of online collaboration; students' knowledge construction throughout this process has not been examined thoroughly. This case study analyzed the relationship between…

  3. Cultural impacts on knowledge sharing: empirical data from EU project collaboration

    Microsoft Academic Search

    Kerstin V. Siakas; Elli Georgiadou; Bo Balstrup

    2010-01-01

    Purpose – EU-sponsored lifelong learning projects involve a variety of experts of diverse cultural, organisational, and professional backgrounds connected together in one project with time and money constraints. The members of the consortium, often unknown to one another from the beginning, come together for a specific period of time to accomplish certain distinctive objectives. A special knowledge-sharing strategy is needed

  4. Project REECH: using theatre arts to authenticate local knowledge.

    PubMed

    Mosavel, Maghboeba; Thomas, Teleangè

    2009-01-01

    Marginalized communities need to be heard and validated within their local context, so that individual and community support can be garnered and ownership of the concerns can be embraced. This article reports on three modalities that were used in the community outreach activities of Project REECH. The goal of Project REECH is to engage residents in low-income neighborhoods in a dialogue with researchers to identify the major health concerns in their community. With the aid of these community conversations, the goal is to identify and train community residents to conduct such community-identified research in their neighborhoods. This article primarily explores and evaluates the use and effectiveness of an arts modality called Playback Theatre. Also, it briefly reports on the use of Readers' Theatre and graphic facilitation to aid in the dissemination of the data collected from these community conversations. PMID:20129901

  5. DR-LINK: Document retrieval using linguistic knowledge project description

    Microsoft Academic Search

    Elizabeth D. Liddy; Sung H. Myaeng

    1992-01-01

    DR-LINK is a multi-stage document detection system (see Figure 1) being developed under the auspices of DARPA's TIPSTER Project. DR-LINK's overall goal is to simultaneously the semantic representation of text content by: 1) delineating each text's discourse-level structure; 2) detecting relations among concepts; 3) expanding lexical representation with semantically-related terms, and; 4) representing concepts and relations in Conceptual Graphs.

  6. Automatically Associating Documents with Concept Map Knowledge Models

    Microsoft Academic Search

    Alejandro Valerio; David Leake; Alberto J. Canas

    Concept-map-based knowledge models are widely used for knowledge capture and sharing. When libraries of concept maps are available, those concept maps can provide a useful context for understanding new documents, and the new documents can provide useful annotations to the knowledge models—if the right documents can be associated to the right concept maps. This paper presents ongoing research on a

  7. Zero Knowledge in the Random Oracle Model, Revisited Hoeteck Wee

    E-print Network

    Wee, Hoeteck

    Zero Knowledge in the Random Oracle Model, Revisited Hoeteck Wee Queens College, CUNY hoeteck@cs.qc.cuny.edu Abstract. We revisit previous formulations of zero knowledge in the random oracle model due to Bellare of these formulations. The hierarchy relates to the programmability of the random oracle, previously studied by Nielsen

  8. A Model for Resource Allocation Using Operational Knowledge Assets

    ERIC Educational Resources Information Center

    Andreou, Andreas N.; Bontis, Nick

    2007-01-01

    Purpose: The paper seeks to develop a business model that shows the impact of operational knowledge assets on intellectual capital (IC) components and business performance and use the model to show how knowledge assets can be prioritized in driving resource allocation decisions. Design/methodology/approach: Quantitative data were collected from 84…

  9. #. Creating Metabolic Network Models using Text Mining and Expert Knowledge

    E-print Network

    Wurtele, Eve Syrkin

    1 #. Creating Metabolic Network Models using Text Mining and Expert Knowledge J.A. Dickerson1 , D by a domain expert and added to an existing network model. The result is visualized using an interactive graph into the existing body of knowledge on metabolism. The user can select parameters for comparison such as species

  10. Modeling Sensor Knowledge of a National Hydrologic Information System

    E-print Network

    Molina, Martín

    .). The current initiatives about sensor web for globally distributed data acquisition [2] and semantic sensor web1 Modeling Sensor Knowledge of a National Hydrologic Information System Martin Molina and Javier. In this paper we describe our experience in modeling and using sensor knowledge of a national hydrologic

  11. An information model for managing domain knowledge via Faceted Taxonomies

    Microsoft Academic Search

    Hung-Ju Chu; R. Y. C. Chow

    2010-01-01

    Faceted Taxonomies are often used for managing complex knowledge within a domain. They can be used as a reference model for bottom-up new information analysis and integration. This paper proposes a domain information model that quantifies the semantics (indexing concepts) of the faceted taxonomy nodes and uses them as indexer for integrating and managing knowledge such as software requirements. Through

  12. D Modeling from Gnomonic Projections

    NASA Astrophysics Data System (ADS)

    Barazzetti, L.; Previtali, M.; Scaioni, M.

    2012-07-01

    The paper presents a strategy able to derive and process high resolution images created by means of gnomonic projections. The implemented pipeline can be split into two phases: first, the sensor resolution of the camera is physically increased by acquiring and merging a set of images with a rotating camera equipped with a long focal lens; then the new set of gnomonic projections is processed with a 3D reconstruction methodology able to deal with very large images. Several issues are addressed in the paper, starting from image acquisition up to 3D modelling. Gnomonic projections have been demonstrated to be powerful tools when traditional pinhole images do not allow the reconstruction of small and fine details. Examples and comparisons aimed at determining the correctness of the mathematical approach for image orientation are illustrated as well.

  13. [NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 7:] The NASA/DOD Aerospace Knowledge Diffusion Research Project: The DOD perspective

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    This project will provide descriptive and analytical data regarding the flow of STI at the individual, organizational, national, and international levels. It will examine both the channels used to communicate information and the social system of the aerospace knowledge diffusion process. Results of the project should provide useful information to R and D managers, information managers, and others concerned with improving access to and use of STI. Objectives include: (1) understanding the aerospace knowledge diffusion process at the individual, organizational, and national levels, placing particular emphasis on the diffusion of Federally funded aerospace STI; (2) understanding the international aerospace knowledge diffusion process at the individual and organizational levels, placing particular emphasis on the systems used to diffuse the results of Federally funded aerospace STI; (3) understanding the roles NASA/DoD technical report and aerospace librarians play in the transfer and use of knowledge derived from Federally funded aerospace R and D; (4) achieving recognition and acceptance within NASA, DoD and throughout the aerospace community that STI is a valuable strategic resource for innovation, problem solving, and productivity; and (5) providing results that can be used to optimize the effectiveness and efficiency of the Federal STI aerospace transfer system and exchange mechanism.

  14. Spiral model pilot project information model

    NASA Technical Reports Server (NTRS)

    1991-01-01

    The objective was an evaluation of the Spiral Model (SM) development approach to allow NASA Marshall to develop an experience base of that software management methodology. A discussion is presented of the Information Model (IM) that was used as part of the SM methodology. A key concept of the SM is the establishment of an IM to be used by management to track the progress of a project. The IM is the set of metrics that is to be measured and reported throughout the life of the project. These metrics measure both the product and the process to ensure the quality of the final delivery item and to ensure the project met programmatic guidelines. The beauty of the SM, along with the IM, is the ability to measure not only the correctness of the specification and implementation of the requirements but to also obtain a measure of customer satisfaction.

  15. A Knowledge Translation Project on Best Practices in End-of-life Care.

    PubMed

    Lau, Francis; Barwich, Doris; Hilliard, Neil; Partridge, Colin; Hobson, Bruce; Price, Morgan; McGregor, Douglas; Bassi, Jesdeep; Lee, Dennis; Kim, Julie; Pyke, Joanna; Randhawa, Gurprit

    2015-01-01

    This is a knowledge translation project to promote the uptake of best practices in end-of-life (EOL) care within the primary care setting in British Columbia (BC) through the use of tools embedded into electronic medical records (EMRs). The knowledge-to-action model is used to engage primary care providers in co-designing, adopting and evaluating the EOL care toolkit built for 3 EMRs. The toolkit has a set of EMR-specific data entry templates, query/report functions and access to additional downloadable resources. It is based on the EOL learning module designed and offered by the BC General Practice Services Committee's Practice Support Program to improve EOL care by primary care providers in the province. Our web-based distribution method allows providers to download and install the toolkit then take part to evaluate its use and impact. Initial feedback from phases 1-3 (of 4) has been favorable and has led to iterative improvements. PMID:25676980

  16. [The INSuLa Project: a knowledge survey among workers].

    PubMed

    Rondinone, Bruna Maria; Boccuni, Fabio; Buresti, Giuliana; Persechinot, Benedetta; Petyx, Marta; Boccuni, Valeria; Cesana, Giancarlo; Iavicoli, Sergio

    2014-01-01

    The INSuLa project consisted of a national survey on health and safety at work involving all the relevant actors such as workers, employers, occupational physicians (MC), worker safety representatives (RLS), prevention and safety service in the workplace (SPSAL). The survey aimed, on one hand, at investigating workers' risk perceptions at the workplace and, on another hand, at exploring the general level of awareness about the enforcement of the Legislative Decree 81/2008 and subsequent amendments. The survey was conducted on a stratified sample of8000 workers representative of the national situation taking into consideration some of the most important socio-demographic and occupational variables, such as gender, geographic area, age, type of contract and sector of activity. The analysis of the results presented here and the subsequent secondary analyses will contribute to identify the needs and critical issues for implementing preventive interventions at the workplaces, also in consideration of the emerging risks and changes in the world of work. PMID:25558745

  17. The Effect of the Green Class Model on Environmental Knowledge and Its Retention

    ERIC Educational Resources Information Center

    Uzun, Naim

    2009-01-01

    The purpose of the study is to investigate the effects of an applied environmental education project carried out using the green-class model on students' environmental knowledge and its retention. 101 7th grade students attending Nazim Akcan Primary School in the Altindag Province of Ankara participated in the study. The study was carried out in…

  18. Gaps in Mind: Problems in Environmental Knowledge-Behaviour Modelling Research.

    ERIC Educational Resources Information Center

    Courtenay-Hall, Pamela; Rogers, Larson

    2002-01-01

    Explores conceptual, epistemological, methodological, and practical 'gaps' that seem to reproduce themselves in successive instantiations of this quest. Aims to help build the critical perspective that comes with problematizing the very project of knowledge-behavior modeling by identifying the positivistic residues still present in the enterprise…

  19. Patterns of patient safety culture: a complexity and arts-informed project of knowledge translation.

    PubMed

    Mitchell, Gail J; Tregunno, Deborah; Gray, Julia; Ginsberg, Liane

    2011-01-01

    The purpose of this paper is to describe patterns of patient safety culture that emerged from an innovative collaboration among health services researchers and fine arts colleagues. The group engaged in an arts-informed knowledge translation project to produce a dramatic expression of patient safety culture research for inclusion in a symposium. Scholars have called for a deeper understanding of the complex interrelationships among structure, process and outcomes relating to patient safety. Four patterns of patient safety culture--blinding familiarity, unyielding determination, illusion of control and dismissive urgency--are described with respect to how they informed creation of an arts-informed project for knowledge translation. PMID:22273559

  20. Exploring the Effects of Vertical and Lateral Mechanisms in International Knowledge Transfer Projects

    Microsoft Academic Search

    Francesco Ciabuschi; Henrik Dellestrand; Philip Kappen

    2011-01-01

    • \\u000a \\u000a \\u000a Knowledge is critical for creating and sustaining competitive advantage and in today’s fast-moving international market firms\\u000a need to leverage knowledge globally. Therefore, one important question becomes what effect different transfer mechanisms have\\u000a on transfer success.\\u000a \\u000a \\u000a \\u000a \\u000a • \\u000a \\u000a \\u000a This study investigates 169 international knowledge transfer projects in multinational corporations focusing on the role of\\u000a hierarchy, heterarchy and IT in terms of

  1. Applying Project Histories and Project Learning through Knowledge Management in an Australian Construction Company

    ERIC Educational Resources Information Center

    Maqsood, Tayyab; Finegan, Andrew; Walker, Derek

    2006-01-01

    Purpose: With the advent of information and communication technologies (ICT), some organisations have endeavoured to develop and maintain systems commonly known as project histories. This paper aims to provide a framework to the construction organisations in order to improve the learning from projects through the development and use of project

  2. A Theoretical and formal model for Knowledge Management Systems

    E-print Network

    Paris-Sud XI, Université de

    1 A Theoretical and formal model for Knowledge Management Systems J-L Ermine : Proceedings Systems Jean-Louis Ermine Institut National des Télécommunications 9 Rue Charles Fourier, 91011 EVRY Cedex, France jean-louis.ermine@int-evry.fr Abstract: Knowledge management is now a huge domain, where

  3. A model of social collaboration in Molecular Biology knowledge bases

    E-print Network

    Aitken, Stuart

    A model of social collaboration in Molecular Biology knowledge bases Luna De Ferrari 1 , Stuart study we analyse 36 years of knowledge collection by 738 authors in two Molecular Biology wikis (Ecoli highlighted the limits of manual curation in keeping up with high-throughput Molecular Biology data [5

  4. Geothermal projects funded under the NER 300 programme - current state of development and knowledge gained

    NASA Astrophysics Data System (ADS)

    Uihlein, Andreas; Salto Saura, Lourdes; Sigfusson, Bergur; Lichtenvort, Kerstin; Gagliardi, Filippo

    2015-04-01

    Introduction The NER 300 programme, managed by the European Commission is one of the largest funding programmes for innovative low-carbon energy demonstration projects. NER 300 is so called because it is funded from the sale of 300 million emission allowances from the new entrants' reserve (NER) set up for the third phase of the EU emissions trading system (ETS). The programme aims to successfully demonstrate environmentally safe carbon capture and storage (CCS) and innovative renewable energy (RES) technologies on a commercial scale with a view to scaling up production of low-carbon technologies in the EU. Consequently, it supports a wide range of CCS and RES technologies (bioenergy, concentrated solar power, photovoltaics, geothermal, wind, ocean, hydropower, and smart grids). Funded projects and the role of geothermal projects for the programme In total, about EUR 2.1 billion have been awarded to 39 projects through the programme's 2 calls for proposals (the first awarded in December 2012, the second in July 2014). The programme has awarded around 70 mEUR funding to 3 geothermal projects in Hungary, Croatia and France (see Annex). The Hungarian geothermal project awarded funding under the first call will enter into operation at the end of 2015 and the rest are expected to start in 2016 (HR) and in 2018 (FR), respectively. Knowledge Sharing Knowledge sharing requirements are built into the legal basis of the programme as a critical tool to lower risks in bridging the transition to large-scale production of innovative renewable energy and CCS deployment. Projects have to submit annually to the European Commission relevant knowledge gained during that year in the implementation of their project. The relevant knowledge is aggregated and disseminated by the European Commission to industry, research, government, NGO and other interest groups and associations in order to provide a better understanding of the practical challenges that arise in the important step of scaling up technologies and operating them at commercial scale. The knowledge sharing of the NER 300 programme should lead to better planning and faster introduction of low carbon technologies in the future. Content of the presentation The presentation will introduce the geothermal projects that have been awarded funding, including their state-of-play. Insights and knowledge gained from the projects that have entered into operation will be shown and discussed. Furthermore, the presentation will provide an overview of the NER 300 programme.

  5. A projection and density estimation method for knowledge discovery.

    PubMed

    Stanski, Adam; Hellwich, Olaf

    2012-01-01

    A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions. The problem is typically circumvented by using a fixed set of assumptions about the data, e.g., by assuming partial independence of features, data on a manifold or a customized kernel. These fixed assumptions limit the applicability of a method. In this paper we propose a framework that uses a flexible set of assumptions instead. It allows to tailor a model to various problems by means of 1d-decompositions. The approach achieves a fast runtime and is not limited by the curse of dimensionality as all estimations are performed in 1d-space. The wide range of applications is demonstrated at two very different real world examples. The first is a data mining software that allows the fully automatic discovery of patterns. The software is publicly available for evaluation. As a second example an image segmentation method is realized. It achieves state of the art performance on a benchmark dataset although it uses only a fraction of the training data and very simple features. PMID:23049675

  6. A Projection and Density Estimation Method for Knowledge Discovery

    PubMed Central

    Stanski, Adam; Hellwich, Olaf

    2012-01-01

    A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions. The problem is typically circumvented by using a fixed set of assumptions about the data, e.g., by assuming partial independence of features, data on a manifold or a customized kernel. These fixed assumptions limit the applicability of a method. In this paper we propose a framework that uses a flexible set of assumptions instead. It allows to tailor a model to various problems by means of 1d-decompositions. The approach achieves a fast runtime and is not limited by the curse of dimensionality as all estimations are performed in 1d-space. The wide range of applications is demonstrated at two very different real world examples. The first is a data mining software that allows the fully automatic discovery of patterns. The software is publicly available for evaluation. As a second example an image segmentation method is realized. It achieves state of the art performance on a benchmark dataset although it uses only a fraction of the training data and very simple features. PMID:23049675

  7. Space market model development project

    NASA Technical Reports Server (NTRS)

    Bishop, Peter C.

    1987-01-01

    The objectives of the research program, Space Market Model Development Project, (Phase 1) were: (1) to study the need for business information in the commercial development of space; and (2) to propose a design for an information system to meet the identified needs. Three simultaneous research strategies were used in proceeding toward this goal: (1) to describe the space business information which currently exists; (2) to survey government and business representatives on the information they would like to have; and (3) to investigate the feasibility of generating new economical information about the space industry.

  8. Making Sense of Knowledge Transfer and Social Capital Generation for a Pacific Island Aid Infrastructure Project

    ERIC Educational Resources Information Center

    Manu, Christopher; Walker, Derek H. T.

    2006-01-01

    Purpose: The purpose of this research is to investigate how lessons learned from a case study of a construction project undertaken in the Pacific Islands relates to the interaction between social capital and knowledge transfer. The paper is reflective in nature focusing upon the experiences of one of the authors, being a Pacific Islander and…

  9. The Effect of Environmental Science Projects on Students' Environmental Knowledge and Science Attitudes

    ERIC Educational Resources Information Center

    Al-Balushi, Sulaiman M.; Al-Aamri, Shamsa S.

    2014-01-01

    The current study explores the effectiveness of involving students in environmental science projects for their environmental knowledge and attitudes towards science. The study design is a quasi-experimental pre-post control group design. The sample was 62 11th-grade female students studying at a public school in Oman. The sample was divided into…

  10. Knowledge Translation of Interprofessional Collaborative Patient-Centred Practice: The Working Together Project Experience

    ERIC Educational Resources Information Center

    MacDonald, Colla J.; Archibald, Douglas; Stodel, Emma; Chambers, Larry W.; Hall, Pippa

    2008-01-01

    The Working Together (WT) project involved the design and delivery of an online learning resource for healthcare teams in long-term care (LTC) so that knowledge regarding interprofessional collaborative patient-centred practice (ICPCP) could be readily accessed and then transferred to the workplace. The purpose of this paper is to better…

  11. The Impact of Values and Leadership on Knowledge Integration Behaviors in Medical Projects Teams

    Microsoft Academic Search

    Zhang Peng-cheng; Zhang Li-bin; Hou Zu-rong; Zhang Ke-jun

    2008-01-01

    Based on social network and social exchange theories, this paper explored the relations among perceived team values, paternalistic leadership, team affective commitment (TAC) and knowledge integration behaviors (KIBs) in the 31 medical project teams. The empirical study founded team values, paternalistic leadership did not have Synergistic effects on TAC and KIBs; meanwhile, although team values, paternalistic leadership have direct effects

  12. Precarious Projects: Conversions of (Biomedical) Knowledge in an East African City

    PubMed Central

    Prince, Ruth J.

    2014-01-01

    This article explores the orientations of lay people in Kenya to science—specifically to biomedical knowledge about HIV—and their struggles to convert this knowledge into meaningful futures. In Kenya, the global response to the HIV-AIDS epidemic has resulted in a highly stratified landscape of intervention. Globally-funded treatment programs and clinical trials, focusing on HIV, channel transnational resources, expertise, and knowledge into specific sites—HIV clinics, NGOs, and research stations—inscribing these spaces as ‘global’ while leaving others decidedly ‘local.’ Rolled out in the form of ‘projects,’ these interventions offer resources and opportunities for a limited time only. Based on ethnographic fieldwork in the city of Kisumu, this article follows the circulation of biomedical knowledge through such projects and its conversion in ways beyond those imagined by policy-makers, as it meets the aspirations of city-dwellers and enters into local livelihoods. Mediated by nongovernmental organizations through workshops and certificates, this knowledge is both fragmentary and ephemeral. I explore the temporal and spatial implications of such knowledge for those who seek to attach themselves to it and shape their identities and futures in relation to it. PMID:24383753

  13. The Copenhagen Traffic Model and its Application in the Metro City Ring Project

    Microsoft Academic Search

    Goran Vuk; Christian Overgaard Hansen; James Fox

    2009-01-01

    In June 2007, the Danish Parliament passed an act to finance the construction of the Metro City Ring in Copenhagen. The assessment project is based on the passenger patronage forecasts for 2015 from the Copenhagen traffic model. In this paper we show how the model forecasts for this particular infrastructure project can be explained through detailed knowledge of model structure

  14. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 35: The US government technical report and aerospace knowledge diffusion: Results of an on-going investigation

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Khan, A. Rahman; Barclay, Rebecca O.; Kennedy, John M.

    1993-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded (U.S.) R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this paper, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from two surveys (one of five studies) of our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report and close with a brief overview of on-going research into the use of the U.S. government technical report as a rhetorical device for transferring federally funded aerospace R&D.

  15. W-320 Project thermal modeling

    SciTech Connect

    Sathyanarayana, K., Fluor Daniel Hanford

    1997-03-18

    This report summarizes the results of thermal analysis performed to provide a technical basis in support of Project W-320 to retrieve by sluicing the sludge in Tank 241-C-106 and to transfer into Tank 241-AY-102. Prior theraml evaluations in support of Project W-320 safety analysis assumed the availability of 2000 to 3000 CFM, as provided by Tank Farm Operations, for tank floor cooling channels from the secondary ventilation system. As this flow availability has no technical basis, a detailed Tank 241-AY-102 secondary ventilation and floor coating channel flow model was developed and analysis was performed. The results of the analysis show that only about 150 cfm flow is in floor cooLing channels. Tank 241-AY-102 thermal evaluation was performed to determine the necessary cooling flow for floor cooling channels using W-030 primary ventilation system for different quantities of Tank 241-C-106 sludge transfer into Tank 241-AY-102. These sludge transfers meet different options for the project along with minimum required modification of the ventilation system. Also the results of analysis for the amount of sludge transfer using the current system is presented. The effect of sludge fluffing factor, heat generation rate and its distribution between supernatant and sludge in Tank 241-AY-102 on the amount of sludge transfer from Tank 241-C-106 were evaluated and the results are discussed. Also transient thermal analysis was performed to estimate the time to reach the steady state. For a 2 feet sludge transfer, about 3 months time will be requirad to reach steady state. Therefore, for the purpose of process control, a detailed transient thermal analysis using GOTH Computer Code will be required to determine transient response of the sludge in Tank 241-AY-102. Process control considerations are also discussed to eliminate the potential for a steam bump during retrieval and storage in Tanks 241-C-106 and 241-AY-102 respectively.

  16. Evaluating knowledge benefits of automotive lightweighting materials R&D projects.

    PubMed

    Peretz, Jean H; Das, Sujit; Tonn, Bruce E

    2009-08-01

    This paper presents a set of metrics used to evaluate short-run knowledge benefits that accrued from research and development (R&D) projects funded in fiscal years 2000-2004 by automotive lightweighting materials (ALM) of the U.S. Department of Energy (DOE). Although DOE presents to Congress energy, environmental, and security benefits and costs of its R&D efforts under the Government Performance and Results Act, DOE has yet to include knowledge benefits in that report [U.S. Department of Energy. (2007). Projected benefits of federal energy efficiency and renewable energy programs: FY2008 budget request. NREL/TP-640-41347 (March). Washington, DC: National Renewable Energy Laboratory for DOE Energy Efficiency and Renewable Energy. Retrieved February 12, 2007 from http://www1.eere.energy.gov/ba/pba/2008_benefits.html]. ALM focuses on development and validation of advanced technologies that significantly reduce automotive vehicle body and chassis weight without compromising other attributes such as safety, performance, recyclability, and cost [U.S. Department of Energy. (2005a). Automotive lightweighting materials 2004 annual progress report. Washington, DC: DOE Energy Efficiency and Renewable Energy. Retrieved March 30, 2005 from http://www.eere.energy.gov/vehiclesandfuels/resources/fcvt_alm_fy04.shtml]. The ultimate goal of ALM to have lightweighter materials in vehicles hinges on many issues, including the (1) collaborative nature of ALMs R&D with the automobile industry and (2) manufacturing knowledge gained through the R&D effort. The ALM projects evaluated in this paper yielded numerous knowledge benefits in the short run. While these knowledge benefits are impressive, there remains uncertainty about whether the research will lead to incorporation of lightweight materials by the Big Three automakers into their manufacturing process and introduction of lightweight vehicles into the marketplace. The uncertainty illustrates a difference between (1) knowledge benefits and (2) energy, environmental, and security benefits emanating from R&D. PMID:19414194

  17. Toward a Model of Knowledge-Based Graph Comprehension

    Microsoft Academic Search

    Eric G. Freedman; Priti Shah

    2002-01-01

    Research on graph comprehension has been concerned with relatively low-level information extraction. However, laboratory studies\\u000a often produce conflicting findings because real-world graph interpretation requires going beyond the data presentation to\\u000a make inferences and solve problems. Furthermore, in real-world settings, graphical information is presented in the context\\u000a of relevant prior knowledge. According to our model, knowledge-based graph comprehension involves an interaction

  18. Relevant literature in support of knowledge-based simulation models

    SciTech Connect

    Morgeson, J.D.; Colston, E.; Burns, J.R.

    1987-07-01

    This article describes and references the relevant literature related to knowledge-based simulation. There are essentially ten areas of literature that would likely contain relevant articles. They are the management science/operations research literature, the simulation (and modeling) literature, the production/operations management literature, the knowledge engineering and artificial intelligence literature, the systems science literature, the industrial engineering literature, the mechanical engineering literature, and the information science literature.

  19. Knowledge Management through the Equilibrium Pattern Model for Learning

    NASA Astrophysics Data System (ADS)

    Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

    Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

  20. Automated extraction of knowledge for model-based diagnostics

    NASA Technical Reports Server (NTRS)

    Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.

    1990-01-01

    The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.

  1. MEDICAL KNOWLEDGE MODELING IN A SYMBOLIC-CONNECTIONIST PERSPECTIVE

    E-print Network

    Paris-Sud XI, Université de

    ) and of Connectionism (C). AI seems to be more adapted to modeling upper levels of data and knowledge processing or the cognitive engineer are tempted to resort to Connectionism to improve their methodology in associating Neural. Connectionism is essentially made up of mathematical models which can be broken down into two main families

  2. Crafting a Global Teaming Model for Architectural Knowledge

    Microsoft Academic Search

    S. Beecham; J. Noll; I. Richardson; N. Ali

    2010-01-01

    In this paper, we present the Global Teaming Model (GTM), which is empirically grounded, and outlines practices that managers need to consider when managing virtual teams. We explain how the model can be adapted to specific areas of software development, and use architectural knowledge management (AKM) as our exemplar. We focus on specific practices relating to how teams collaborate and

  3. An Empirical Study on Quantitative Modeling of Adversary's Knowledge

    E-print Network

    Ryder, Barbara G.

    An Empirical Study on Quantitative Modeling of Adversary's Knowledge Kui Xua , Danfeng (Daphne of quantitatively modeling the threat of personal data leakage. We describe a systematic approach for computing-playing cyber game system for the user studies, where the participants take on the adversary role to launch ID

  4. Intergenerational Educational Encounters: Part 1--A Model of Knowledge

    ERIC Educational Resources Information Center

    Gamliel, Tova; Reichental, Yael; Ayal, Nitza

    2007-01-01

    This paper, the first in a 2-part series, proposes a Model-of-Knowledge for the social analysis of intergenerational encounters between older adults and children and discusses professional intervention. The model is based on the findings of a pilot counseling activity at a primary school in Israel. It sets forth 4 types of encounters between…

  5. Knowledge Management Model: Practical Application for Competency Development

    ERIC Educational Resources Information Center

    Lustri, Denise; Miura, Irene; Takahashi, Sergio

    2007-01-01

    Purpose: This paper seeks to present a knowledge management (KM) conceptual model for competency development and a case study in a law service firm, which implemented the KM model in a competencies development program. Design/methodology/approach: The case study method was applied according to Yin (2003) concepts, focusing a six-professional group…

  6. Modeling Student Knowledge: Cognitive Tutors in High School and College

    Microsoft Academic Search

    Albert T. Corbett; Megan Mclaughlin; K. Christine Scarpinatto

    2000-01-01

    This paper examines the role of adaptive student modeling in cognitive tutor research and dissemination. Cognitive tutorsTM are problem solving environments constructed around cognitive models of the knowledge students are acquiring. Over the past decade we in the Pittsburgh Advanced Cognitive Tutor (PACT) Center at Carnegie Mellon have been employing a cognitive programming tutor in university-based teaching and research, while

  7. Knowledge discovery and experience modeling in computer forensics media analysis

    Microsoft Academic Search

    A. Chris Bogen; David A. Dampier

    2004-01-01

    This paper is presented to identify research goals for the modeling of experiences, lessons learned, and knowledge discovered during the analysis of digital evidence in a forensic investigation. Additionally this paper suggests how such models might be used to facilitate automated computer forensics media analysis tools. The scope of this paper, with respect to computer forensics, is limited to the

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 23: Information technology and aerospace knowledge diffusion: Exploring the intermediary-end user interface in a policy framework

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Bishop, Ann P.; Kennedy, John M.

    1992-01-01

    Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowled reproduction, transfer, and use as equally important components of the process of knowledge diffusion. It is argued that the potential contributions of high-speed computing and networking systems will be diminished unless empirically derived knowledge about the information-seeking behavior of the members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

  9. Research on Knowledge Exchange Duopoly Game Model of Supply Chain Enterprise Based on the Cournot Model

    Microsoft Academic Search

    Ma Jun; Yu Hong-guo; Yang De-li; Wu Yan

    2010-01-01

    Knowledge exchange research of supply chain enterprise has been playing an important role in the knowledge management of supply chain. Knowledge exchange of supply chain concerns the core capacity of the whole supply chain. This paper discusses the supply chain competition in cooperative and non-cooperative conditions under different models. Last but not least, this paper extends the model and makes

  10. Knowledge Modelling to Support Inquiry Learning Tasks

    NASA Astrophysics Data System (ADS)

    Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek; Blasko, Miroslav

    In this paper we describe the SILVER toolkit, which is designed for tasks in which a user learns by analysing and interpreting a set of resources. The user categorises each resource according to the set of properties that they identify as being applicable to it. Due to the large amount of data generated by this type of task, the user may find it hard to identify patterns in their classification and tagging, to recognise their own inconsistencies or make comparisons between themselves and others. In the first SILVER task described, the ID3 decision tree algorithm is applied to the user's data to identify patterns and generate different types of feedback. Principles of spatial hypertext are used to produce an interactive visualization of the summarized data. As the user interacts with the resources, they can see their progress and changing perspective on the task. In the second SILVER task described, a conceptual model is used to provide explanations of the model underlying the user's classification of resources.

  11. Academy Sharing Knowledge (ASK). The NASA Source for Project Management Magazine, Volume 11, March 2003

    NASA Technical Reports Server (NTRS)

    2003-01-01

    APPL is a research-based organization that serves NASA program and project managers, as well as project teams, at every level of development. In 1997, APPL was created from an earlier program to underscore the importance that NASA places on project management and project teams through a wide variety of products and services, including knowledge sharing, classroom and online courses, career development guidance, performance support, university partnerships, and advanced technology tools. ASK Magazine grew out of APPL's Knowledge Sharing Initiative. The stories that appear in ASK are written by the 'best of the best' project managers, primarily from NASA, but also from other government agencies and industry. Contributors to this issue include: Teresa Bailey, a librarian at the Jet Propulsion Laboratory, Roy Malone, Deputy Director in the Safety and Mission Assurance (S&MA) Office at the NASA Marshall Space Flight Center (MSFC), W. Scott Cameron, Capital Systems Manager for the Food and Beverage Global Business Unit of Procter and Gamble, Ray Morgan, recent retiree as Vice President of AeroVironment, Inc., Marty Davis, Program Manager of the Geostationary Operational Environmental Satellite (GOES) at the NASA Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, Todd Post, editor of ASK Magazine, and works for EduTech Ltd. in Silver Spring, Maryland, Dr. Owen Gadeken, professor of Engineering Management at the Defense Acquisition University, Ken Schwer, currently the Project Manager of Solar Dynamics Observatory, Dr. Edward Hoffmwan, Director of the NASA Academy of Program and Project Leadership, Frank Snow, a member of the NASA Explorer Program at Goddard Space Flight Center since 1992, Dr. Alexander Laufer, Editor-in-Chief of ASK Magazine and a member of the Advisory Board of the NASA Academy of Program and Project Leadership, Judy Stokley, presently Air Force Program Executive Officer for Weapons in Washington, D.C. and Terry Little, Director of the Kinetic Energy Boost Office of the Missile Defense Agency.

  12. Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Noble, Sarah K.; French, R. A.; Nall, M. E.; Muery, K. G.

    2009-01-01

    The Lunar Mapping and Modeling Project (LMMP) has been created to manage the development of a suite of lunar mapping and modeling products that support the Constellation Program (CxP) and other lunar exploration activities, including the planning, design, development, test and operations associated with lunar sortie missions, crewed and robotic operations on the surface, and the establishment of a lunar outpost. The information provided through LMMP will assist CxP in: planning tasks in the areas of landing site evaluation and selection, design and placement of landers and other stationary assets, design of rovers and other mobile assets, developing terrain-relative navigation (TRN) capabilities, and assessment and planning of science traverses. The project draws on expertise from several NASA and non-NASA organizations (MSFC, ARC, GSFC, JPL, CRREL US Army Cold Regions Research and Engineering Laboratory, and the USGS). LMMP will utilize data predominately from the Lunar Reconnaissance Orbiter, but also historical and international lunar mission data (e.g. Apollo, Lunar Orbiter, Kaguya, Chandrayaan-1), as available and appropriate, to meet Constellation s data needs. LMMP will provide access to this data through a single intuitive and easy to use NASA portal that transparently accesses appropriately sanctioned portions of the widely dispersed and distributed collections of lunar data, products and tools. Two visualization systems are being developed, a web-based system called Lunar Mapper, and a desktop client, ILIADS, which will be downloadable from the LMMP portal. LMMP will provide such products as local and regional imagery and DEMs, hazard assessment maps, lighting and gravity models, and resource maps. We are working closely with the LRO team to prevent duplication of efforts and to ensure the highest quality data products. While Constellation is our primary customer, LMMP is striving to be as useful as possible to the lunar science community, the lunar commercial community, the lunar education and public outreach (E/PO) community, and anyone else interested in accessing or utilizing lunar data. A beta version of the portal and visualization systems is expected to be released in late 2009, with a version 1 release planned for early 2011.

  13. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 6: Aerospace knowledge diffusion in the academic community: A report of phase 3 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    Descriptive and analytical data regarding the flow of aerospace-based scientific and technical information (STI) in the academic community are presented. An overview is provided of the Federal Aerospace Knowledge Diffusion Research Project, illustrating a five-year program on aerospace knowledge diffusion. Preliminary results are presented of the project's research concerning the information-seeking habits, practices, and attitudes of U.S. aerospace engineering and science students and faculty. The type and amount of education and training in the use of information sources are examined. The use and importance ascribed to various information products by U.S. aerospace faculty and students including computer and other information technology is assessed. An evaluation of NASA technical reports is presented and it is concluded that NASA technical reports are rated high in terms of quality and comprehensiveness, citing Engineering Index and IAA as the most frequently used materials by faculty and students.

  14. Analyzing Knowledge Transfer Effectiveness An Agent-Oriented Modeling Approach

    E-print Network

    of knowledge between knowledge workers represents one of the main challenges of knowledge management. Knowledge of the main challenges of knowledge management (KM) [1] [2]. As a consequence, past research on knowledge knowledge management systems [4] and knowledge infrastructures [5]. Sociological approaches to knowledge

  15. Knowledge Mobilization Processes During the Research Process in Two Projects: Lessons for the Leslie Harris Centre of Regional Policy and Development

    E-print Network

    deYoung, Brad

    Knowledge Mobilization Processes During the Research Process in Two Projects: Lessons......................................................................................................... 7 SECTION IV: FRAMEWORK FOR KNOWLEDGE MOBILIZATION ASSESSMENT... 10 Theoretical Framework for KMb

  16. Mars Pathfinder Project: Planetary Constants and Models

    NASA Technical Reports Server (NTRS)

    Vaughan, Robin

    1995-01-01

    This document provides a common set of astrodynamic constants and planetary models for use by the Mars Pathfinder Project. It attempts to collect in a single reference all the quantities and models in use across the project during development and for mission operations. These models are central to the navigation and mission design functions, but they are also used in other aspects of the project such as science observation planning and data reduction.

  17. MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft.

    PubMed

    Xu, Xieyu; Yang, Lingyu; Zhang, Jing

    2015-01-01

    This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage. PMID:26180839

  18. MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft

    PubMed Central

    Xu, Xieyu; Yang, Lingyu; Zhang, Jing

    2015-01-01

    This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage. PMID:26180839

  19. Knowledge-based indexing of the medical literature: the Indexing Aid Project.

    PubMed

    Humphrey, S M; Miller, N E

    1987-05-01

    This article describes the Indexing Aid Project for conducting research in the areas of knowledge representation and indexing for information retrieval in order to develop interactive knowledge-based systems for computer-assisted indexing of the periodical medical literature. The system uses an experimental frame-based knowledge representation language, FrameKit, implemented in Franz Lisp. The initial prototype is designed to interact with trained MEDLINE indexers who will be prompted to enter subject terms as slot values in filling in document-specific frame data structures that are derived from the knowledge-base frames. In addition, the automatic application of rules associated with the knowledge-base frames produces a set of Medical Subject Heading (MeSH) keyword indices to the document. Important features of the system are representation of explicit relationships through slots which express the relations; slot values, restrictions, and rules made available by inheritance through "is-a" hierarchies; slot values denoted by functions that retrieve values from other slots; and restrictions on slot values displayable during data entry. PMID:10301519

  20. A Model for Knowledge Representation in Distributed Systems

    E-print Network

    Paris-Sud XI, Université de

    A Model for Knowledge Representation in Distributed Systems Brunet Olivier December 4, 2002 in a general theory of information representation in distributed system. Following this, we set up a framework distributed systems. Finally, we study the logical structure of this framework and show that in this formalism

  1. Characterizing Knowledge Maturing A Conceptual Process Model for Integrating E-Learning and Knowledge Management

    Microsoft Academic Search

    Ronald Maier; Martin-Luther-University Halle-Wittenberg Germany

    Knowledge management and e-learning both attempt to support learning and knowledge transfer in organizations. However, they aim at knowledge of different degrees of maturity. Central hypothesis of this paper is that the approaches can be integrated on the basis of a process that explicitly aims at designing the transitions of knowledge along varying degrees of maturity. The knowledge maturing process

  2. Model Tech Prep Demonstration Project. Final Report.

    ERIC Educational Resources Information Center

    Southern Maryland Educational Consortium, La Plata.

    The Southern Maryland Educational Consortium's Tech Prep Model Demonstration project is described in this final report. The consortium members are Calvert, Charles, and St. Mary's county school districts and Charles County Community College in southern Maryland. The project is based on a 4 + 2 model in which ninth-grade students develop career…

  3. Yield model development project implementation plan

    NASA Technical Reports Server (NTRS)

    Ambroziak, R. A.

    1982-01-01

    Tasks remaining to be completed are summarized for the following major project elements: (1) evaluation of crop yield models; (2) crop yield model research and development; (3) data acquisition processing, and storage; (4) related yield research: defining spectral and/or remote sensing data requirements; developing input for driving and testing crop growth/yield models; real time testing of wheat plant process models) and (5) project management and support.

  4. Efficiency Assessment of Road Project Delivery Models

    NASA Astrophysics Data System (ADS)

    Lo, Shih-Ching; Chao, Yu

    2007-12-01

    In this study, four road delivery project models are analyzed by data envelopment analysis. The four models are design-bid-build (DBB), design-build (DB), construction management (CM) and design-build-maintenance (DBM). According to the analysis, DBM is the most efficient model and CM has the best time-scheduled control. DB performs the best efficiency in construction. The results may provide public sectors to employ an adequate model so as to proceed with road construction project.

  5. Assessment Of The Effect Of Participation In Zooniverse Projects On Content Knowledge

    NASA Astrophysics Data System (ADS)

    Cormier, Sebastien; Prather, E. E.; Brissenden, G.; Lintott, C.; Gay, P. L.; Raddick, J.; Collaboration of Astronomy Teaching Scholars CATS

    2011-01-01

    The citizen science projects developed by Zooniverse afford volunteers the opportunity to contribute to scientific research in a meaningful way by interacting with actual scientific data. We created two surveys to measure the impact that participation in the Galaxy Zoo and Moon Zoo citizen science projects has on user conceptual knowledge. The Zooniverse Astronomy Concept Survey (ZACS) was designed to assess Galaxy Zoo user understanding of concepts related to galaxies and how their understanding changed through participation in classifying galaxies. The Lunar Cratering Concept Inventory (LCCI) was designed to measure the impact of the Moon Zoo activities on user knowledge about lunar craters and cratering history. We describe how the surveys were developed and validated in collaboration with education researchers and astronomers. Both instruments are administered over time to measure changes to user conceptual knowledge as they gain experience with either Galaxy Zoo or Moon Zoo. Data collection has already begun and in the future we will be able to compare survey answers from users who have classified, for example, a thousand galaxies with users who have only classified ten galaxies. This material is based upon work supported by the National Science Foundation under Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation and the Sloan Digital Sky Survey III Education and Public Outreach Program.

  6. Zero Knowledge in the Random Oracle Model, Revisited

    Microsoft Academic Search

    Hoeteck Wee

    2009-01-01

    We revisit previous formulations of zero knowledge in the random oracle model due to Bellare and Rogaway (CCS ’93) and Pass\\u000a (Crypto ’03), and present a hierarchy for zero knowledge that includes both of these formulations. The hierarchy relates to\\u000a the programmability of the random oracle, previously studied by Nielsen (Crypto ’02).\\u000a \\u000a \\u000a \\u000a \\u000a \\u000a \\u000a • \\u000a \\u000a We establish a subtle separation between the

  7. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    SciTech Connect

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  8. Ontology-based knowledge base model construction-OntoKBCF.

    PubMed

    Jing, Xia; Kay, Stephen; Hardiker, Nicholas; Marley, Tom

    2007-01-01

    Semantic web technologies are used in the construction of a bio-health knowledge base model, which, when coupled with an Electronic Health Record (EHR), is to be used by clinicians. Specifically, this ontology provides the basis for a domain knowledge resource that attempts to bridge biological and clinical information. The prototype is focused on a Cystic Fibrosis exemplar, and the content of the model includes: Cochrane reviews; a time-oriented description; gene therapy; and the most common cystic fibrosis gene mutations. The facts within the model range from nucleo-base mutation and amino acid change to clinical phenotype. The knowledge is represented by layers from the micro level to the macro level. Here, emphasis is placed upon the details between levels (i.e., the vertical axis) and these are made available to bridge the knowledge from different levels. The description of gender, age, mutation and clinical manifestations are clues for matching points within an EHR system. OWL is the ontology representation language used and the output from Protégé-OWL is a XML-based file format, which facilitates further application and communication. PMID:17911824

  9. W-320 Project thermal modeling

    Microsoft Academic Search

    Sathyanarayana; Fluor Daniel Hanford

    1997-01-01

    This report summarizes the results of thermal analysis performed to provide a technical basis in support of Project W-320 to retrieve by sluicing the sludge in Tank 241-C-106 and to transfer into Tank 241-AY-102. Prior theraml evaluations in support of Project W-320 safety analysis assumed the availability of 2000 to 3000 CFM, as provided by Tank Farm Operations, for tank

  10. [The Ineq-Cities research project on urban health inequalities: knowledge dissemination and transfer in Spain].

    PubMed

    Camprubí, Lluís; Díez, Èlia; Morrison, Joana; Borrell, Carme

    2014-01-01

    The Ineq-Cities project analyzed inequalities in mortality in small areas and described interventions to reduce inequalities in health in 16 European cities. This field note describes the dissemination of the project in Spain. In accordance with the recommendations of the project, the objective was to translate relevant results to key stakeholders - mainly technical staff, municipal officers and local social agents - and to provide an introduction to urban inequalities in health and strategies to address them. Twenty-four workshops were given, attended by more than 350 professionals from 92 municipalities. Knowledge dissemination consisted of the publication of a short book on inequalities in health and the approach to this problem in cities and three articles in nonspecialized media, a proposal for a municipal motion, and knowledge dissemination activities in social networks. Users rated these activities highly and stressed the need to systematize these products. This process may have contributed to the inclusion of health inequalities in the political agenda and to the training of officers to correct them. PMID:23810522

  11. Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project

    PubMed Central

    Jackson, Rebecca D; Best, Thomas M; Borlawsky, Tara B; Lai, Albert M; James, Stephen; Gurcan, Metin N

    2012-01-01

    The conduct of clinical and translational research regularly involves the use of a variety of heterogeneous and large-scale data resources. Scalable methods for the integrative analysis of such resources, particularly when attempting to leverage computable domain knowledge in order to generate actionable hypotheses in a high-throughput manner, remain an open area of research. In this report, we describe both a generalizable design pattern for such integrative knowledge-anchored hypothesis discovery operations and our experience in applying that design pattern in the experimental context of a set of driving research questions related to the publicly available Osteoarthritis Initiative data repository. We believe that this ‘test bed’ project and the lessons learned during its execution are both generalizable and representative of common clinical and translational research paradigms. PMID:22647689

  12. Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project.

    PubMed

    Payne, Philip R O; Jackson, Rebecca D; Best, Thomas M; Borlawsky, Tara B; Lai, Albert M; James, Stephen; Gurcan, Metin N

    2012-01-01

    The conduct of clinical and translational research regularly involves the use of a variety of heterogeneous and large-scale data resources. Scalable methods for the integrative analysis of such resources, particularly when attempting to leverage computable domain knowledge in order to generate actionable hypotheses in a high-throughput manner, remain an open area of research. In this report, we describe both a generalizable design pattern for such integrative knowledge-anchored hypothesis discovery operations and our experience in applying that design pattern in the experimental context of a set of driving research questions related to the publicly available Osteoarthritis Initiative data repository. We believe that this 'test bed' project and the lessons learned during its execution are both generalizable and representative of common clinical and translational research paradigms. PMID:22647689

  13. Knowledge Management in BID Preparation for Global Engineering and Manufacturing Projects

    NASA Astrophysics Data System (ADS)

    Zhou, Mingwei; Mo, John; Nemes, Laszlo; Hall, William

    The core competence of a global engineering and manufacturing enterprise increasingly depends on the quality of its intellectual resources and how these resources are used in critical missions such as bid preparation. This paper discusses the knowledge management issues in the development of VIEWBID, a web-based system for supporting online bidding document preparation for global engineering and manufacturing projects. The VIEWBID system aims to supports inter-enterprise collaboration for compiling accurate bids. The enterprise engineering architectures and methodologies, such as VERA and iRoadmap, have been used to analyze the bidding process to capture different levels of procedural knowledge. A set of component-based technologies has been developed using XML and Java to capture, configure and compose the bidding documents.

  14. Linking knowledge and action through mental models of sustainable agriculture

    PubMed Central

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-01-01

    Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer “mental models” of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems. PMID:25157158

  15. Predictive Modeling and Integrative Physiology: The Physiome Projects

    PubMed Central

    Bassingthwaighte, James B.

    2012-01-01

    The fundamental paradigm in physiological research is integration. Biological researchers are now ready to define for a species a mathematical construct, the Physiome, the all-encompassing quantitative model of an organism. The goal of the human Physiome project is improved health care, through deep understanding of the organism, all the way down to the genes, reconciling contradictions and clarifying cause and effect. The strategies for accomplishing this long term aim include the systematic gathering of old and new knowledge into shared databases, and integrating the information into self consistent, reproducible, mathematical models. Multiscale models, for practicality, cover only a few levels at a time. Beginning at the middle level, the cell, where the knowledge base is largest and most secure, and the elements well defined as functional biophysical/biochemical modules, the plan is to work up to the organism level and down to the gene level, in the end providing clear linkages between phenotype and the genome. PMID:22919435

  16. Traceability between System Model, Project Model and Source Code

    E-print Network

    Paech, Barbara

    Traceability between System Model, Project Model and Source Code Alexander Delater, Barbara Paech {delater,paech}@informatik.uni-heidelberg.de Abstract. Traceability from source code to system model. In this thesis, we plan to create and utilize traceability links between elements from system model, project

  17. Handling Model Uncertainty: The Importance of Human Knowledge

    NASA Astrophysics Data System (ADS)

    Minsker, B. S.; Singh, A.; Babbar-Sebens, M.

    2012-12-01

    Most approaches for addressing model uncertainty focus on finding new ways to better quantify the various components that contribute to uncertainty (measurement error, parameter error, model error, etc.). If this is the sole basis for creating model forecasts under uncertainty, the resulting error bounds can be so large as to make the forecasts useless. This paper will illustrate the importance of human knowledge in narrowing the number and types of potential models and decision strategies that are considered, focusing on case studies in groundwater model calibration and monitoring design. An interactive optimization framework is presented that balances expert judgment with traditional quantitative objectives such as model error. Results show how the expert's input shifts model and management strategy selection to more reasonable solutions that still perform extremely well on traditional error metrics. Ideas for extending the research to include multiple stakeholders and robust optimization will also be presented.

  18. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 5: Aerospace librarians and technical information specialists as information intermediaries: A report of phase 2 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    The objective of the NASA/DOD Aerospace Knowledge Diffusion Research Project is to provide descriptive and analytical data regarding the flow of scientific and technical information (STI) at the individual, organizational, national, and international levels, placing emphasis on the systems used to diffuse the results of federally funded aerospace STI. An overview of project assumptions, objectives, and design is presented and preliminary results of the phase 2 aerospace library survey are summarized. Phase 2 addressed aerospace knowledge transfer and use within the larger social system and focused on the flow of aerospace STI in government and industry and the role of the information intermediary in knowledge transfer.

  19. Knowledge exchange in the CREATE project - Colour Research for European Advanced Technology Employment

    NASA Astrophysics Data System (ADS)

    Parraman, Carinna; Rizzi, Alessandro

    2011-01-01

    The presentation will review a four-year European funded project CREATE (Colour Research for European Advanced Technology Employment), which was established in 2006. The group came together to promote and exchange research and knowledge through a series of conferences and training courses to researchers working in Europe who were in the early stages of their career. The long-term objective was to address a broad range of themes in colour and to develop with artists, designers, technologists and scientists a cross disciplinary approach to improving colour communication and education and to provide a forum for dialogue between different fields. Now at the end of the funding programme, this paper will highlight some of the key milestones of the project. Moreover, having completed a supplementary workshop event in October 2010, researchers considered new themes for the future.

  20. Projecting electricity consumption with an econometric model

    SciTech Connect

    Sutherland, R.J.

    1987-01-01

    Using an econometric model estimated with state data for the period 1961-1982, long-term projections of the growth rate in electricity consumption are presented. A projection of 3.25% per year is produced by an aggregate model. Using a similar model estimated on a regional basis, an aggregate projection of 4.19% is obtained. The main variable contributing to these projections are economic expansion, broadly defined to include income and the number of customers. Although the price of electricity is a statistically significant variable, this price is projected to be approximately stable in real terms, and hence not to contribute to electricity demand. 10 references, 1 figure, 5 tables.

  1. Knowledge Base Modelling Based on Linguistics and Founded R.P. van de Riet

    E-print Network

    Dignum, Frank

    Knowledge Base Modelling Based on Linguistics and Founded in Logic F.Dignum+ R.P. van de Riet Free University, Amsterdam ABSTRACT Knowledge Base Systems should in principle be able to store and manipulate any sort of knowledge, including vague (indefinite) knowledge, knowledge about events and obligations

  2. Prospectus. Teacher Assistant Training Project. Transport Model.

    ERIC Educational Resources Information Center

    Bohan, John F.

    To provide an introduction to a career in vocational teaching, a model developed in the Teacher Assistant Training Project at Clackamas Community College in Oregon is presented for recruiting, training, and placing technically competent community college students as teaching assistants to secondary school vocational education teachers. Project

  3. An informatics project and online "Knowledge Centre" supporting modern genotype-to-phenotype research.

    PubMed

    Webb, Adam J; Thorisson, Gudmundur A; Brookes, Anthony J

    2011-05-01

    Explosive growth in the generation of genotype-to-phenotype (G2P) data necessitates a concerted effort to tackle the logistical and informatics challenges this presents. The GEN2PHEN Project represents one such effort, with a broad strategy of uniting disparate G2P resources into a hybrid centralized-federated network. This is achieved through a holistic strategy focussed on three overlapping areas: data input standards and pipelines through which to submit and collect data (data in); federated, independent, extendable, yet interoperable database platforms on which to store and curate widely diverse datasets (data storage); and data formats and mechanisms with which to exchange, combine, and extract data (data exchange and output). To fully leverage this data network, we have constructed the "G2P Knowledge Centre" (http://www.gen2phen.org). This central platform provides holistic searching of the G2P data domain allied with facilities for data annotation and user feedback, access to extensive G2P and informatics resources, and tools for constructing online working communities centered on the G2P domain. Through the efforts of GEN2PHEN, and through combining data with broader community-derived knowledge, the Knowledge Centre opens up exciting possibilities for organizing, integrating, sharing, and interpreting new waves of G2P data in a collaborative fashion. PMID:21438073

  4. The KINDRA H2020 Project: a knowledge inventory for hydrogeology research

    NASA Astrophysics Data System (ADS)

    Petitta, Marco; Bodo, Balazs; Caschetto, Mariachiara; Correia, Victor; Cseko, Adrienn; Fernandez, Isabel; Hartai, Eva; Hinsby, Klaus; Madarasz, Tamas; Garcia Padilla, Mercedes; Szucs, Peter

    2015-04-01

    Hydrogeology-related research activities cover a wide spectrum of research areas at EU and national levels. This fact is due to the intrinsic nature of the "water" topic, representing a key-aspect of the modern society: water is not only necessary for human, biological and environmental requirements, but it is one basic "engine" of several interconnected research topics, including energy, health, climate, food, security and others as exemplified by the water-food-energy-climate nexus described by e.g. the World Economic Forum. With respect to the water cycle, the management of groundwater brings additional challenges to the implementation of the Water Framework Directive (WFD) and climate change adaptation (such as integrated transboundary management of groundwater resources). This fact is related to the nature of groundwater, which represents the "hidden" part of the water cycle, difficult to evaluate, communicate and appreciate, although it sustains the health of both humans and ecosystems as well as industrial and agricultural production. In general, groundwater has been considered mainly for its relationships with surface waters, influencing river flow, e-flows, GDE (groundwater-dependent ecosystems), pollutant fate, agricultural practices, water scarcity and others. In this framework, the importance of groundwater inside the WFD has been reinforced by the daughter directive on groundwater. In the last years, particular insights have been developed on surface waters/groundwater interactions and several related research projects have been carried out. Nevertheless, a specific focus on hydrogeology, the science branch studying groundwater, has not looked into until now, despite of its utmost importance as renewable, high-quality, naturally protected (but still vulnerable) resource. At the same time the European knowledge-base that has been acquired on this important topic is widespread into several projects, plans, actions, realized at national and fragmented into wider programs generally related to water, environment or ecology. In order to have a comprehensive understanding on the groundwater theme, it is necessary to create a "snapshot" of our scientific knowledge as of 2015/2016 covering as many European countries as possible. Such comprehensive coverage will result in an accurate assessment of the state of the art in hydrogeology research in various geographical and geo-environmental settings, allowing for direct comparison and the exploitation of synergies. The KINDRA project (Knowledge Inventory for hydrogeology research, Grant Agreement No. 642047, www.kindraproject.eu) seeks to create a critical mass for scientific knowledge exchange of hydrogeology research, to ensure wide applicability of research results, including support of innovation and development, and to reduce unnecessary duplication of efforts. KINDRA is funded by the European Commission's HORIZON2020 Framework Programme. The project started on 1 January 2015 with the overall objective to take stock of our contemporary knowledge of hydrogeology with the help of an inventory of research results, activities, projects and programmes, and then use the inventory to identify critical research challenges and gaps, with a view to avoiding overlaps. This approach takes into account the implementation of the WFD and new innovation areas within integrated water resources management, allowing at EU scale the future correct management and policy development of groundwater.

  5. Project T.A.C.K.L.E. (Together, Addressing the Challenges of Knowledge and Literacy for Employees). Evaluation Report.

    ERIC Educational Resources Information Center

    General Motors Corp., Detroit, MI.

    Project TACKLE (Together, Addressing the Challenge of Knowledge and Literacy for Employees) was a cooperative project, jointly developed to address employees with the inadequate basic skills necessary to operate modernized, technical equipment and maintain job security. Approximately 500 current employees of General Motors, Flint, Michigan, used…

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 66: Emerging Trends in the Globalization of Knowledge: The Role of the Technical Report in Aerospace Research and Development

    NASA Technical Reports Server (NTRS)

    Pinelli,Thomas E.; Golich, Vicki L.

    1997-01-01

    Economists, management theorists, business strategists, and governments alike recognize knowledge as the single most important resource in today's global economy. Because of its relationship to technological progress and economic growth, many governments have taken a keen interest in knowledge; specifically its production, transfer, and use. This paper focuses on the technical report as a product for disseminating the results of aerospace research and development (R&D) and its use and importance to aerospace engineers and scientists. The emergence of knowledge as an intellectual asset, its relationship to innovation, and its importance in a global economy provides the context for the paper. The relationships between government and knowledge and government and innovation are used to place knowledge within the context of publicly-funded R&D. Data, including the reader preferences of NASA technical reports, are derived from the NASA/DoD Aerospace Knowledge Diffusion Research Project, a ten-year study of knowledge diffusion in the U.S. aerospace industry.

  7. Project Descriptions: Model Curricula for Alcohol and Other Drug Abuse Physician and Nurse Education.

    ERIC Educational Resources Information Center

    National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.

    Brief descriptions are presented of 12 model curriculum projects which are part of a program to develop and demonstrate effective models for integrating alcohol and other drug abuse teaching into the medical and nurse education curriculum. The models are based upon discipline-specific knowledge and skill objectives and address undergraduate,…

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 5: Aerospace librarians and technical information specialists as information intermediaries: A report of phase 2 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    The flow of U.S. government-funded and foreign scientific and technical information (STI) through libraries and related facilities to users in government and industry is examined, summarizing preliminary results of Phase 2 of the NASA/DOD Aerospace Knowledge Diffusion Research Project (NAKDRP). The design and objectives of NAKDRP are reviewed; the NAKDRP model of STI transfer among producers, STI intermediaries, surrogates (technical report repositories or clearinghouses), and users is explained and illustrated with diagrams; and particular attention is given to the organization and operation of aerospace libraries. In a survey of North American libraries it was found that 25-30 percent of libraries regularly receive technical reports from ESA and the UK; the corresponding figures for Germany and for France, Sweden, and Japan are 18 and 5 percent, respectively. Also included is a series of bar graphs showing the librarians' assessments of the quality and use of NASA Technical Reports.

  9. Starting the Conversation – A Childhood Obesity Knowledge Project Using an App

    PubMed Central

    Appel, Hoa B.; Huang, Bu; Cole, Allison; James, Rosalina; Ai, Amy L.

    2014-01-01

    Purpose Starting the Conversation was a pilot project to test an intervention for childhood obesity, a major public health epidemic, using a free smartphone application (app). The primary aim was to assess students’ knowledge of nutritional indicators, physical exercise and use of screen time before and after the intervention. Methods The study was conducted in 2011–2012. The sample, recruited from seven high schools in Snohomish County, Washington, was 65.3% minority participants. Of the 118 participants in the sample (n=118), 79 handwrote their responses (n=78) and 36 responded via the app (n=39). We compared the frequency and types of physical exercise, frequency of screen time, and nutritional variables of high school students. Participants used the cell phone app or a handwritten log to record their daily entries for 20 days. Results Both males (n=43) and females (n=75) grades 9–12 used the app or handwritten entries. Participants who used the app ate less fast food and exercised more, as compared with those who recorded their entries by hand. Screen time usage decreased over the course of the study, based on a comparison of the post-survey level and the pre-survey level. Knowledge of recommended daily consumption of vegetables increased post-test in the app group and knowledge of water consumption increased significantly in both groups. There was no significant difference in BMI pre and post-test. Conclusions Patterns of nutritional intake, physical exercise and knowledge of these issues varied pre and post-test. It is critical to further examine factors associated with lack of physical activity and food intake patterns of youth using social media to further address the childhood obesity epidemic. Future research should focus on specific ethnic subgroups and an intervention at the school level aimed at the students with BMI ? 95th percentile. PMID:24678462

  10. Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

    NASA Astrophysics Data System (ADS)

    Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

    2015-04-01

    In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. However, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving damage in euros by hectare for 14 agricultural lands categories. As a conclusion, we will discuss the validation step of the model. Although the model was validated by experts, we analyse how it could gain insight from comparison with past events.

  11. Scientist-Centered Graph-Based Models of Scientific Knowledge

    SciTech Connect

    Chin, George; Stephan, Eric G.; Gracio, Deborah K.; Kuchar, Olga A.; Whitney, Paul D.; Schuchardt, Karen L.

    2005-07-01

    At the Pacific Northwest National Laboratory, we are researching and developing visual models and paradigms that will allow scientists to capture and represent conceptual models in a computational form that may linked to and integrated with scientific data sets and applications. Captured conceptual models may be logical in conveying how individual concepts tie together to form a higher theory, analytical in conveying intermediate or final analysis results, or temporal in describing the experimental process in which concepts are physically and computationally explored. In this paper, we describe and contrast three different research and development systems that allow scientists to capture and interact with computational graph-based models of scientific knowledge. Through these examples, we explore and examine ways in which researchers may graphically encode and apply scientific theory and practice on computer systems.

  12. Scientific Knowledge and Attitude Change: The Impact of a Citizen Science Project. Research Report

    ERIC Educational Resources Information Center

    Brossard, Dominique; Lewenstein, Bruce; Bonney, Rick

    2005-01-01

    This paper discusses the evaluation of an informal science education project, The Birdhouse Network (TBN) of the Cornell Laboratory of Ornithology. The Elaboration Likelihood Model and the theory of Experiential Education were used as frameworks to analyse the impact of TBN on participants' attitudes toward science and the environment, on their…

  13. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 19: Computer and information technology and aerospace knowledge diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.; Bishop, Ann P.

    1992-01-01

    To remain a world leader in aerospace, the US must improve and maintain the professional competency of its engineers and scientists, increase the research and development (R&D) knowledge base, improve productivity, and maximize the integration of recent technological developments into the R&D process. How well these objectives are met, and at what cost, depends on a variety of factors, but largely on the ability of US aerospace engineers and scientists to acquire and process the results of federally funded R&D. The Federal Government's commitment to high speed computing and networking systems presupposes that computer and information technology will play a major role in the aerospace knowledge diffusion process. However, we know little about information technology needs, uses, and problems within the aerospace knowledge diffusion process. The use of computer and information technology by US aerospace engineers and scientists in academia, government, and industry is reported.

  14. The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility

    Microsoft Academic Search

    Natalya Fridman Noy; Ray W. Fergerson; Mark A. Musen

    2000-01-01

    Knowledge-based systems have become ubiquitous in recent years. The World-Wide Web consortium is developing the Resource Description Framework (RDF)—a system for annotating even Web pages with knowledge elements. Knowledge-base developers need to be able to share and reuse knowledge bases that they build. Therefore, interoperability among different knowledge-representation systems is essential. The Open Knowledge-Base Connectivity protocol (OKBC) is a common

  15. Streamline Your Project: A Lifecycle Model.

    ERIC Educational Resources Information Center

    Viren, John

    2000-01-01

    Discusses one approach to project organization providing a baseline lifecycle model for multimedia/CBT development. This variation of the standard four-phase model of Analysis, Design, Development, and Implementation includes a Pre-Analysis phase, called Definition, and a Post-Implementation phase, known as Maintenance. Each phase is described.…

  16. Climate, climate modelling and climate projections

    E-print Network

    Haak, Hein

    system change modelling extremes #12;14.10.2011 Andreas Sterl, stud. Nijmegen Climate ­ what's thatClimate, climate modelling and climate projections Andreas Sterl KNMI, De Bilt, Netherlands Climate? Climate = statistics of weather Weather = state of atmosphere at a particular time "Climate is what you

  17. Epistemic trust: modeling children's reasoning about others' knowledge and intent.

    PubMed

    Shafto, Patrick; Eaves, Baxter; Navarro, Daniel J; Perfors, Amy

    2012-05-01

    A core assumption of many theories of development is that children can learn indirectly from other people. However, indirect experience (or testimony) is not constrained to provide veridical information. As a result, if children are to capitalize on this source of knowledge, they must be able to infer who is trustworthy and who is not. How might a learner make such inferences while at the same time learning about the world? What biases, if any, might children bring to this problem? We address these questions with a computational model of epistemic trust in which learners reason about the helpfulness and knowledgeability of an informant. We show that the model captures the competencies shown by young children in four areas: (1) using informants' accuracy to infer how much to trust them; (2) using informants' recent accuracy to overcome effects of familiarity; (3) inferring trust based on consensus among informants; and (4) using information about mal-intent to decide not to trust. The model also explains developmental changes in performance between 3 and 4 years of age as a result of changing default assumptions about the helpfulness of other people. PMID:22490183

  18. Modeling Success in FLOSS Project Groups

    SciTech Connect

    Beaver, Justin M [ORNL; Cui, Xiaohui [ORNL; ST Charles, Jesse Lee [ORNL; Potok, Thomas E [ORNL

    2009-01-01

    A significant challenge in software engineering is accurately modeling projects in order to correctly forecast success or failure. The primary difficulty is that software development efforts are complex in terms of both the technical and social aspects of the engineering environment. This is compounded by the lack of real data that captures both the measures of success in performing a process, and the measures that reflect a group s social dynamics. This research focuses on the development of a model for predicting software project success that leverages the wealth of available open source project data in order to accurately model the behavior of those software engineering groups. Our model accounts for both the technical elements of software engineering as well as the social elements that drive the decisions of individual developers. We use agent-based simulations to represent the complexity of the group interactions, and base the behavior of the agents on the real software engineering data acquired. For four of the five project success measures, our results indicate that the developed model represents the underlying data well and provides accurate predictions of open source project success indicators.

  19. Space market model development project, phase 3

    NASA Technical Reports Server (NTRS)

    Bishop, Peter C.; Hamel, Gary P.

    1989-01-01

    The results of a research project investigating information needs for space commercialization is described. The Space Market Model Development Project (SMMDP) was designed to help NASA identify the information needs of the business community and to explore means to meet those needs. The activity of the SMMDP is reviewed and a report of its operation via three sections is presented. The first part contains a brief historical review of the project since inception. The next part reports results of Phase 3, the most recent stage of activity. Finally, overall conclusions and observations based on the SMMDP research results are presented.

  20. Designing m-learning for junior registrars--activation of a theoretical model of clinical knowledge.

    PubMed

    Kanstrup, Anne Marie; Boye, Niels; Nøhr, Christian

    2007-01-01

    The MINI-project aims at supporting junior registrars in the learning process of how to utilize their theoretical knowledge from Medical School in everyday clinical reasoning and practice. Due to the nature of the work--concurrent moving, learning and producing--we designed an m-learning application. This paper introduces the possibilities and challenges for design of the m-learning application based on a) analytical findings on learning and mobility as derived from the design case--an emergency medical ward b) theoretical perspectives on medical knowledge, and c) presentation of the design of an m-learning application. The design process was based on user-driven innovation and the paper discusses considerations on how to combine user-drive and generic models. PMID:17911938

  1. Memory Map of a Knowledge Representation model used for intelligent personalization of learning activities sequences

    Microsoft Academic Search

    Carlos Ramirez; Benjamin Valdes

    2011-01-01

    In this paper is reported an instantiation of The Memory Map Knowledge Representation model in the domain of education, in order to study more of its properties. The Memory Map was used to model the knowledge domain, also referred to as the expert model of a college course, and the knowledge of each student enrolled in it. The students and

  2. KKKKfarmfarmfarmfarm: A Knowledge Management Support System Based on Dual Loop Model

    E-print Network

    Mizoguchi, Riichiro

    KKKKfarmfarmfarmfarm: A Knowledge Management Support System Based on Dual Loop Model Yusuke Hayashi-based framework of information systems for knowledge management focused on a learning sys- tem in organization learning, it can provides appropriate support for knowledge management Then we will introduce a knowledge

  3. An integrated risk management model for financial banks with knowledge management

    Microsoft Academic Search

    Shao Baiquan; Wu Kebao

    2010-01-01

    Modern financial banks are operating in a knowledge society and they are affected by various risks. In order to enhance the efficiency of risk management in banks, this paper first discusses the implications of financial risks, knowledge and knowledge management, and then presents an integrated risk management model with knowledge management. Finally, the paper studies ways for banks to manage

  4. World Energy Projection System model documentation

    SciTech Connect

    Hutzler, M.J.; Anderson, A.T.

    1997-09-01

    The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

  5. From implicit skills to explicit knowledge: a bottom-up model of skill learning

    Microsoft Academic Search

    Ron Sun; Edward Merrill; Todd Peterson

    2001-01-01

    This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and

  6. Climate Projections from the Narclim Project: Model Biases and Significance of Projected Changes

    NASA Astrophysics Data System (ADS)

    Olson, R.; Evans, J. P.; Argüeso, D.; Di Luca, A.

    2014-12-01

    NARCliM (NSW/ACT Regional Climate Modelling Project) is a regional climate project for Australia and surrounding area. It uses dynamical downscaling to provide climate projections for the CORDEX-AustralAsia region at 50 km resolution, and for South-East Australia at 10 km resolution. The project is the first of its kind in the level of sophistication of model selection. Specifically, the selection process for General Circulation Models (GCMs) included (i) evaluating model performance based on literature review, (ii) calculating model independence, and (iii) analyzing future changes in temperature and precipitation. Regional Climate Models (RCMs) for downscaling the GCMs were identified based on model independence, as well as on their performance for several precipitation events over South-East Australia. We first present seasonal and annual mean changes for key climate metrics (e.g., temperature, precipitation, etc.) for both regions for periods 2020-2039 and 2060-2079. We then use the seasonal and annual mean output from NARCliM to address several key questions: (1) How independent are the members of the NARCliM ensemble? (2) Do the RCMs span sufficient range of uncertainty in the driving GCM projections? (3) Are the RCMs significantly different from observations? and (4) Over which areas do we expect a significant change in surface atmospheric temperature and precipitation in periods 2020-2039 and 2060-2079? More broadly, we share strategies on overcoming common computational challenges faced during the project with those intending to undertake a similar Regional Climate Modeling effort.

  7. Smoke and Emissions Model Intercomparison Project (SEMIP)

    NASA Astrophysics Data System (ADS)

    Larkin, N. K.; Raffuse, S.; Strand, T.; Solomon, R.; Sullivan, D.; Wheeler, N.

    2008-12-01

    Fire emissions and smoke impacts from wildland fire are a growing concern due to increasing fire season severity, dwindling tolerance of smoke by the public, tightening air quality regulations, and their role in climate change issues. Unfortunately, while a number of models and modeling system solutions are available to address these issues, the lack of quantitative information on the limitations and difference between smoke and emissions models impedes the use of these tools for real-world applications (JFSP, 2007). We describe a new, open-access project to directly address this issue, the open-access Smoke Emissions Model Intercomparison Project (SEMIP) and invite the community to participate. Preliminary work utilizing the modular BlueSky framework to directly compare fire location and size information, fuel loading amounts, fuel consumption rates, and fire emissions from a number of current models that has found model-to-model variability as high as two orders of magnitude for an individual fire. Fire emissions inventories also show significant variability on both regional and national scales that are dependant on the fire location information used (ground report vs. satellite), the fuel loading maps assumed, and the fire consumption models employed. SEMIP expands on this work and creates an open-access database of model results and observations with the goal of furthering model development and model prediction usability for real-world decision support.

  8. Knowledge Translation for Research Utilization: Design of a Knowledge Translation Model at Tehran University of Medical Sciences

    ERIC Educational Resources Information Center

    Majdzadeh, Reza; Sadighi, Jila; Nejat, Saharnaz; Mahani, Ali Shahidzade; Gholami, Jaleh

    2008-01-01

    Introduction: The present study aimed to generate a model that would provide a conceptual framework for linking disparate components of knowledge translation. A theoretical model of such would enable the organization and evaluation of attempts to analyze current conditions and to design interventions on the transfer and utilization of research…

  9. [Knowledge of laws by students with hearing impairment: results from the GINKO-project].

    PubMed

    Weber, A; Weber, U; Schlenker-Schulte, C; Schulte, K

    2013-12-01

    Legislation for people with disabilities has also changed due to other changes in the law, especially due to the recent ratification of the UN Convention on the Rights of Persons with Disabilities. These laws, in particular the UN Convention on the Rights of Persons with Disabilities, with its inclusion of the right to equitable and universal access to education for people with disabilities and their implementation, are of central importance for students who are impaired. As part of the GINKO (the legislative effect laws have on the professional integration of those who are hard of hearing, people who have gone deaf and those who are deaf through communication and organization; promotion: BMAS) project, the following questions were also brought up for discussion and were investigated: to what extent hearing-impaired students are aware of legislation that benefits them, whether these laws will be implemented, and what factors have an impact on this legal knowledge or its implementation. Overall, 4,825 handicapped individuals with hearing impairments - including n=166 students - took part in the survey. The results of the evaluation of the group of hearing-impaired students indicate that many of them are not informed about laws important to them. It was also found that the knowledge of a law cannot be equated with its implementation. This survey also resulted in a resolve for the future, to demand information about legal options be reinforced, and to adjust this information to fit the needs of specific target groups, e.g. this information could be disseminated through sign language films. On the other hand, these results also apply to higher education, for these institutions to create learning conditions where existing regulatory design options for students with disabilities are implemented, thereby affording students an equal opportunity to participate in higher education. PMID:23824568

  10. Hands-On Solid Modeling Experiences in a Course Project

    NSDL National Science Digital Library

    Ansari, Jahangir

    This paper focuses on the hands-on experience of 3-D solid modeling technique and prototyping employed in product design and realization process. Engineering Graphics and CAD/CAM are two of the core courses in the Manufacturing Engineering program. Computer aided design and drafting, as well as solid modeling of parts, are strongly emphasized in the Engineering Graphics curriculum which is taught in the sophomore year. In continuation, both manual and computer aided CNC programming are covered in the CAD/CAM curriculum taught in the junior year. Computer Aided Reverse Engineering of cork opener, gear puller, cell phone case, and cell phone cover were the selected course projects taken by students in the CAD/CAM course. One of the main objectives of the curse project was for the students to extend their knowledge in design process and gain a hands-on experience in the field of solid modeling and product realization. A caliper and a micrometer were used to measure the main dimensions of the parts, and a solid modeling program was used for creating the parts model and assembly as well. This paper describes hands-on solid modeling and prototyping experiences of manufacturing engineering students regarding product realization process at our program.

  11. The ITER toroidal field model coil project

    Microsoft Academic Search

    A. Ulbricht; J. L. Duchateau; W. H. Fietz; D. Ciazynski; H. Fillunger; S. Fink; R. Heller; R. Maix; S. Nicollet; S. Raff; M. Ricci; E. Salpietro; G. Zahn; R. Zanino; M. Bagnasco; D. Besette; E. Bobrov; T. Bonicelli; P. Bruzzone; M. S. Darweschsad; P. Decool; N. Dolgetta; A. della Corte; A. Formisano; A. Grünhagen; P. Hertout; W. Herz; M. Huguet; F. Hurd; Yu. Ilyin; P. Komarek; P. Libeyre; V. Marchese; C. Marinucci; A. Martinez; R. Martone; N. Martovetsky; P. Michael; N. Mitchell; A. Nijhuis; G. Nöther; Y. Nunoya; M. Polak; A. Portone; L. Savoldi Richard; M. Spadoni; M. Süßer; S. Turtú; A. Vostner; Y. Takahashi; F. Wüchner; L. Zani

    2005-01-01

    The ITER toroidal field model coil (TFMC) was designed, constructed and tested by the European Home Team in the framework of the ITER research and development program of the Engineering Design Activities (EDA). The project was performed under the leadership of European Fusion Development Activity\\/Close Support Unit (EFDA\\/CSU), Garching, in collaboration with the European superconductor laboratories and the European industry.

  12. Stabilizing a Bicycle: A Modeling Project

    ERIC Educational Resources Information Center

    Pennings, Timothy J.; Williams, Blair R.

    2010-01-01

    This article is a project that takes students through the process of forming a mathematical model of bicycle dynamics. Beginning with basic ideas from Newtonian mechanics (forces and torques), students use techniques from calculus and differential equations to develop the equations of rotational motion for a bicycle-rider system as it tips from…

  13. ODEs Course Project: Investigating Nonlinear Ecological Models

    E-print Network

    Slastikov, Valeriy V.

    of interaction between species: cooperation, competition, predator- prey, e.t.c. In this project you will study basic models of predator-prey interaction and competing species interaction. Predator-Prey. The predator-prey. The interaction terms measure the efficiency of predator in converting food into more births (bxy), and the rate

  14. Enabling Integrated Decision Making for Electronic-Commerce by Modelling an Enterprise's Sharable Knowledge.

    ERIC Educational Resources Information Center

    Kim, Henry M.

    2000-01-01

    An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…

  15. AMIP: The Atmospheric Model Intercomparison Project

    Microsoft Academic Search

    W. Lawrence Gates

    1992-01-01

    The Atmospheric Model Intercomparison Project (AMIP) is an international effort to determine the systematic climate errors of atmospheric models under realistic conditions, and calls for the simulation of the climate of the decade 1979--1988 using the observed monthly-averaged distributions of sea-surface temperature and sea ice as boundary conditions. Organized by the Working Group on Numerical Experimentation (WGNE) of the World

  16. The sigma model on complex projective superspaces

    Microsoft Academic Search

    Constantin Candu; Vladimir Mitev; Thomas Quella; Hubert Saleur; Volker Schomerus

    2010-01-01

    The sigma model on projective superspaces gives rise to a continuous family of interacting 2D conformal field theories which are parametrized by the curvature radius\\u000a R and the theta angle ?. Our main goal is to determine the spectrum of the model, non-perturbatively as a function of both parameters. We succeed\\u000a to do so for all open boundary conditions preserving

  17. Agricultural model intercomparison and improvement project: Overview of model intercomparisons

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Improvement of crop simulation models to better estimate growth and yield is one of the objectives of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The overall goal of AgMIP is to provide an assessment of crop model through rigorous intercomparisons and evaluate future clim...

  18. Pronunciation modeling for ASR - knowledge-based and data-derived methods. 

    E-print Network

    Wester, Mirjam

    2003-01-01

    This article focuses on modeling pronunciation variation in two different ways: data-derived and knowledge-based. The knowledge-based approach consists of using phonological rules to generate variants. The data-derived ...

  19. Jobs and Community Improvements--A Handbook for Enhanced Work Projects. Implementation Issues. Youth Knowledge Development Report 8.1.

    ERIC Educational Resources Information Center

    Corporation for Public/Private Ventures, Philadelphia, PA.

    This volume is one of the products of the knowledge development activities mounted in conjunction with research, evaluation, and development activities funded under the Youth Employment and Demonstration Projects Act of 1977. Based on the Ventures in Community Improvement (VICI) "enhanced" job training/job placement approach, which used…

  20. Page 1 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the

    E-print Network

    Maxwell, Bruce D.

    Page 1 © 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the Standardized Biofilm Methods Laboratory in the CBE KSA-SM-011 How to decide whether MSU Center for Biofilm Engineering Need a new frame- work for SR accepta- bility decisions

  1. Page 1 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the

    E-print Network

    Maxwell, Bruce D.

    Page 1 © 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the Standardized Biofilm Methods Laboratory in the CBE KSA-SM-011 How to decide whether disinfectant test methods. The review included many #12;Page 2 © 2011 MSU Center for Biofilm Engineering Need

  2. Linking Home and School: The Home School Knowledge Exchange Project: Linking Home and School to Improve Children's Literacy

    ERIC Educational Resources Information Center

    Feiler, Anthony; Andrews, Jane; Greenhough, Pamela; Hughes, Martin; Johnson, David; Scanlan, Mary; Yee, Wan Ching

    2008-01-01

    The Government is urging teachers to engage more closely with families and is promoting the concept of the "extended" school. This article reports on the literacy strand of the Home School Knowledge Exchange (HSKE) project, directed by Professor Martin Hughes at the University of Bristol. A selection of literacy activities developed during this…

  3. An alternative VMAT with prior knowledge about the type of leaf motion utilizing projection method for concave targets.

    PubMed

    Hoegele, W; Loeschel, R; Zygmanski, P

    2009-08-01

    The authors present an alternative approach to inverse planning optimization and apply it to volumetric modulated are therapy (VMAT) in one rotation with a prior knowledge about the type of leaf motions. The optimization is based on the projection theorem in inner product spaces. MLC motion is directly considered in the optimization, thus avoiding leaf segmentation characteristic of IMRT optimization. In this work they realize the method for concave irregular targets encompassing an organ at risk leading to a repetitive MLC motion pattern. Applying the projection theorem leads to a noniterative optimization method and reduces to solving few systems of linear equations with small numbers of dimensions. The solution of the inverse problem is unique, and false minima are naturally excluded. They divided the full rotation into about 50 short arc segments and for each segment decomposed dose into separate contributions related to stages of MLC motion. This results generally in an inverse problem with just four free parameters per arc segment. Practically three degrees of freedom will be used for the purpose of a constant angular speed of the gantry. Therefore the total number of degrees of freedom for a 3D problem is about 3 x 50 x number of collimator leaf pairs for irradiating the whole target volume in one rotation. Two 2D and one 3D concave target volumes are applied for a slice by slice optimization. A 6 MV photon beam model is used, including realistic scattering and attenuation, and a maximal leaf velocity of 3 cm/s is regarded. The resulting dose distributions cover the PTVs very well and have maxima at about 108% of dose in the PTVs. The OAR is spared very strong in all cases. As a result of optimization, the MLC apertures are repetitively opening and closing and can be interpreted in an intuitive way. Applying the projection method for this knowledge-based VMAT delivery scheme for concave target volumes is an alternative technique for dose optimization. There are several properties, such as uniqueness of MLC motions and their continuous dependence on geometry and prescribed dose, that make this approach interesting to inverse planning. This method is still in an investigational stage, but promising results are presented. In future work it will be extended directly (without conceptual changes) in several directions to be more clinically applicable. PMID:19746810

  4. Knowledge collaborative supply chain management system based on SOA under SaaS model

    Microsoft Academic Search

    Yu Xi; Han Xue; Chen Tingbin

    2010-01-01

    Studied the basic framework of the knowledge collaborative supply chain management system based on SOA under the SaaS model, this paper proposes the knowledge collaborative supply chain management system architecture based on SOA under the SaaS model. Futherrnore, after the in-depth research on the key technical knowledge coordination, knowledge-based web service request and response dispatching of the architecture, the paper

  5. The Pliocene Model Intercomparison Project - Phase 2

    NASA Astrophysics Data System (ADS)

    Haywood, Alan; Dowsett, Harry; Dolan, Aisling; Rowley, David; Abe-Ouchi, Ayako; Otto-Bliesner, Bette; Chandler, Mark; Lunt, Daniel; Salzmann, Ulrich

    2015-04-01

    The Pliocene Model Intercomparison Project (PlioMIP) is a coordinated international climate modelling initiative designed to understand climate and environments of the Late Pliocene, and their potential relevance in the context of future climate change. PlioMIP operates under the umbrella of the Palaeoclimate Modelling Intercomparison Project (PMIP), which examines multiple intervals in Earth history, the consistency of model predictions in simulating these intervals and their ability to reproduce climate signals preserved in geological climate archives. PlioMIP was initiated in 2008 and is closely aligned with the U.S. Geological Survey project known as PRISM (Pliocene Research Interpretation and Synoptic Mapping). PRISM has spent more than 25 years reconstructing and understanding mid-Pliocene climate (~3.3 to 3 million years ago), as well producing boundary condition data sets suitable for use with numerical climate models. The first phase of the PlioMIP (PlioMIP1: 2008-2014) resulted in the most complete analysis to date of the Pliocene climate. This included examination of large-scale features of global climate, detailed analyses of Pliocene ocean circulation and monsoon behaviour, and the ability of models to reproduce regional climate patterns reconstructed from both marine and terrestrial archives. The lessons learned from PlioMIP1 facilitated a revision of data and modelling approaches towards the understanding of the mid Pliocene. PlioMIP2 has now been launched, and includes significant improvements to many of the Pliocene palaeogeograhic boundary conditions used for driving climate models (new land/sea mask, topography, bathymetry and ice sheet reconstructions). Within Phase 2 modelling groups have the option of using dynamic global vegetation models to predict (rather than prescribe) land cover, and a broader portfolio of model experiments has been proposed to support efforts to better understand the Pliocene, as well as to use the Pliocene as a means to constrain future climate change and the predictive ability of climate models. Furthermore, as part of PRISM4, PlioMIP 2 will access a new set of high resolution marine proxy data sets that have been designed to optimize data/model comparison. Here we highlight the new experimental design adopted for PlioMIP Phase 2, describe the boundary condition data sets developed and present the recently formalized timeline for the new project.

  6. Preserved Tool Knowledge in the Context of Impaired Action Knowledge: Implications for Models of Semantic Memory

    PubMed Central

    Garcea, Frank E.; Dombovy, Mary; Mahon, Bradford Z.

    2013-01-01

    A number of studies have observed that the motor system is activated when processing the semantics of manipulable objects. Such phenomena have been taken as evidence that simulation over motor representations is a necessary and intermediary step in the process of conceptual understanding. Cognitive neuropsychological evaluations of patients with impairments for action knowledge permit a direct test of the necessity of motor simulation in conceptual processing. Here, we report the performance of a 47-year-old male individual (Case AA) and six age-matched control participants on a number of tests probing action and object knowledge. Case AA had a large left-hemisphere frontal-parietal lesion and hemiplegia affecting his right arm and leg. Case AA presented with impairments for object-associated action production, and his conceptual knowledge of actions was severely impaired. In contrast, his knowledge of objects such as tools and other manipulable objects was largely preserved. The dissociation between action and object knowledge is difficult to reconcile with strong forms of the embodied cognition hypothesis. We suggest that these, and other similar findings, point to the need to develop tractable hypotheses about the dynamics of information exchange among sensory, motor and conceptual processes. PMID:23641205

  7. How Structure Shapes Dynamics: Knowledge Development in Wikipedia - A Network Multilevel Modeling Approach

    PubMed Central

    Halatchliyski, Iassen; Cress, Ulrike

    2014-01-01

    Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base. PMID:25365319

  8. A Knowledge Management Technology Architecture for Educational Research Organisations: Scaffolding Research Projects and Workflow Processing

    ERIC Educational Resources Information Center

    Muthukumar; Hedberg, John G.

    2005-01-01

    There is growing recognition that the economic climate of the world is shifting towards a knowledge-based economy where knowledge will be cherished as the most prized asset. In this regard, technology can be leveraged as a useful tool in effectually managing the knowledge capital of an organisation. Although several research studies have advanced…

  9. A knowledge Management Technology Architecture for Educational Research Organisations: Scaffolding Research Projects and Workflow Processing

    ERIC Educational Resources Information Center

    Muthukumar; Hedberg, John G.

    2005-01-01

    There is growing recognition that the economic climate of the world is shifting towards a knowledge-based economy where knowledge will be cherished as the most prized asset. In this regard, technology can be leveraged as a useful tool in effectually managing the knowledge capital of an organisation. Although several research studies have advanced…

  10. Software Project Planning Associate (SPPA): A Knowledge-Based Approach for Dynamic Software Project Planning and Tracking

    Microsoft Academic Search

    Ching-seh Wu; Dick B. Simmons

    2000-01-01

    Software project planning can be one of the most critical activities in the modern software development process. Without a realistic and objective software project plan, the software development process cannot be managed in an effective way. Over-runs of 100-200% are common. Some software projects never deliver anything. Managers have difficulty understanding and visualizing the software development process defined in a

  11. Guidelines for modeling projecting fenestration products

    SciTech Connect

    Arasteh, D.K.; Finlayson, E. [Lawrence Berkeley National Lab., CA (United States). Building Technologies Program; Curcija, D. [Carli Inc., Amherst, MA (United States); Baker, J. [WESTLab, Waterloo, Ontario (Canada); Huizenga, C. [Univ. of California, Berkeley, CA (United States)

    1998-10-01

    Heat transfer patterns in projecting fenestration products (greenhouse windows, skylights, etc.) are different from those in typical planar window products. The projecting surfaces often radiate to each other, thereby invalidating the commonly used assumption that fenestration product interior surfaces radiate to a uniform room air temperature. The convective portion of the surface heat transfer coefficient also is significantly different from the one used with planar geometries and is even more dependent on geometry and location. Projecting fenestration product profiles must, therefore, be modeled in their entirety. This paper presents the results of complete cross-sectional, variable film coefficient, two-dimensional heat transfer modeling of two greenhouse windows using the next generation of window-specific heat transfer modeling tools. The use of variable film coefficient models is shown to increase the accuracy with which simulation tools can compute U-factors. Simulated U-factors also are determined using conventional constant film coefficient algorithms. The results from both sets of simulations are compared with measured values.

  12. The Traumatic Brain Injury Model Systems: a longitudinal database, research, collaboration and knowledge translation.

    PubMed

    Hammond, F M; Malec, J F

    2010-12-01

    In 1988, the National Institute on Disability and Rehabilitation Research (NIDRR) launched the Traumatic Brain Injury Model Systems (TBIMS) program, creating the longest and largest longitudinal database on individuals with moderate-to-severe traumatic brain injury (TBI) available today. In addition to sustaining the longitudinal database, centers that successfully compete to be part of the TBIMS centers are also expected to complete local and collaborative research projects to further scientific knowledge about TBI. The research has focused on areas of the NIDRR Long Range Plan which emphasizes employment, health and function, technology for access and function, independent living and community integration, and other associated disability research areas. Centers compete for funded participation in the TBIMS on a 5-year cycle. Dissemination of scientific knowledge gained through the TBIMS is the responsibility of both individual centers and the TBIMS as a whole. This is accomplished through multiple venues that target a broad audience of those who need to receive the information and learn how to best apply it to practice. The sites produce many useful websites, manuals, publications and other materials to accomplish this translation of knowledge to practice. PMID:21224786

  13. A knowledge-based modeling for plantar pressure image reconstruction.

    PubMed

    Ostadabbas, Sarah; Nourani, Mehrdad; Saeed, Adnan; Yousefi, Rasoul; Pompeo, Matthew

    2014-10-01

    It is known that prolonged pressure on the plantar area is one of the main factors in developing foot ulcers. With current technology, electronic pressure monitoring systems can be placed as an insole into regular shoes to continuously monitor the plantar area and provide evidence on ulcer formation process as well as insight for proper orthotic footwear design. The reliability of these systems heavily depends on the spatial resolution of their sensor platforms. However, due to the cost and energy constraints, practical wireless in-shoe pressure monitoring systems have a limited number of sensors, i.e., typically K < 10. In this paper, we present a knowledge-based regression model (SCPM) to reconstruct a spatially continuous plantar pressure image from a small number of pressure sensors. This model makes use of high-resolution pressure data collected clinically to train a per-subject regression function. SCPM is shown to outperform all other tested interpolation methods for K < 60 sensors, with less than one-third of the error for K = 10 sensors. SCPM bridges the gap between the technological capability and medical need and can play an important role in the adoption of sensing insole for a wide range of medical applications. PMID:24833414

  14. Integrating the illness beliefs model in clinical practice: a family systems nursing knowledge utilization model.

    PubMed

    Duhamel, Fabie; Dupuis, France; Turcotte, Annie; Martinez, Anne-Marie; Goudreau, Johanne

    2015-05-01

    To promote the integration of Family Systems Nursing (FSN) in clinical practice, we need to better understand how nurses overcome the challenges of FSN knowledge utilization. A qualitative exploratory study was conducted with 32 practicing female nurses from hospital and community settings who had received FSN intervention training and skill development based on the Illness Beliefs Model and the Calgary Family Assessment and Intervention Models. The participants were interviewed about how they utilized FSN knowledge in their nursing practice. From the data analysis, a FSN Knowledge Utilization Model emerged that involves three major components: (a) nurses' beliefs in FSN and in their FSN skills, (b) nurses' knowledge utilization strategies to address the challenges of FSN practice, and (c) FSN positive outcomes. The FSN Knowledge Utilization Model describes a circular, incremental, and iterative process used by nurses to integrate FSN in daily nursing practice. Findings point to a need for re-evaluation of educational and management strategies in clinical settings for advancing the practice of FSN. PMID:25838467

  15. The Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Nall, M.; French, R.; Noble, S.; Muery, K.

    2010-01-01

    The Lunar Mapping and Modeling Project (LMMP) is managing a suite of lunar mapping and modeling tools and data products that support lunar exploration activities, including the planning, de-sign, development, test, and operations associated with crewed and/or robotic operations on the lunar surface. Although the project was initiated primarily to serve the needs of the Constellation program, it is equally suited for supporting landing site selection and planning for a variety of robotic missions, including NASA science and/or human precursor missions and commercial missions such as those planned by the Google Lunar X-Prize participants. In addition, LMMP should prove to be a convenient and useful tool for scientific analysis and for education and public out-reach (E/PO) activities.

  16. Mapping Knowledge in Product Development through Process Modelling

    Microsoft Academic Search

    Qianwang Deng; Dejie Yu

    2006-01-01

    The product development capability is a core competence in a company, and the product development process is a knowledge-intensive process. The evolution of engineering design shows that knowledge is a key factor of a successful product development. From the 70's in the last century, artificial intelligence has been introduced into this field. It evolves from expert system through knowledge-based system

  17. Distributed knowledge management based on product state models - the case of decision support in health care administration

    Microsoft Academic Search

    Mogens Kühn Pedersen; Michael Holm Larsen

    2001-01-01

    Knowledge management has inspired a shift from a transaction to a distributed knowledge management (DKM) perspective on inter-organizational information processing. The DKM concept structures the knowledge creation, knowledge sharing, and knowledge exploitation in organizations according to a product state model (PSM) required for management of technological diversity. Each player in the network acquires specific knowledge from other players for decision

  18. Integrating System Modeling with Project Management - A Case Study

    Microsoft Academic Search

    Jonas Helming; Jörn David; Maximilian Koegel; Helmut Naughton

    2009-01-01

    In software engineering projects, there are two different types of modeling tools. On the one hand, there are tools to model the system under construction, i.e. tools for requirements or UML tools for design. On the other hand, there are tools to model the project itself such as project management tools, bug trackers, or tools to model the organizational structure.

  19. Developing Elementary Teachers' Knowledge about Functions and Rate of Change through Modeling

    ERIC Educational Resources Information Center

    Weber, Eric; Tallman, Michael A.; Middleton, James A.

    2015-01-01

    The purpose of this article is to describe the development of elementary school teachers' mathematical knowledge for teaching as they participated in a Modeling Instruction environment that placed heavy emphasis on improving their subject-matter knowledge as a basis for affecting the development of their pedagogical content knowledge. We…

  20. Towards a model of effective knowledge transfer within transnationals: The case of Chinese foreign invested enterprises

    Microsoft Academic Search

    Paul Miesing; Mark P. Kriger; Neil Slough

    2007-01-01

    In this paper Chinese foreign invested enterprises (FIEs) are employed as prototypes to generate a model of how transnationals can transfer both tacit and explicit knowledge between their units as well as between FIEs and the parent organization. We propose that successful intra-organization knowledge transfer depends upon: (1) collective creation of knowledge as intellectual and social capital available throughout the

  1. PENMAN Upper Model Building a LargeScale Knowledge Base for Machine Translation

    E-print Network

    Knight, Kevin

    Translation Kevin Knight and Steve K. Luk Introduction Linguistic Resources Knowledge­based machinef g et al. Abstract PENMAN Upper Model Building a Large­Scale Knowledge Base for Machine is a three­site collabora­ tive effort to build a large­scale knowledge­based ma­ chine translation system

  2. KMsim: A Meta-Modelling Approach and Environment for Creating Process-Oriented Knowledge Management

    E-print Network

    Paris-Sud XI, Université de

    KMsim: A Meta-Modelling Approach and Environment for Creating Process-Oriented Knowledge Management-oriented knowledge management (KM) and describes a simulation environment (called KMSIM) that embodies the approach Introduction With the ever growing interest for knowledge management, it is unavoidable that the demand

  3. Duska Rosenberg & Keith Devlin -1 -1/11/07 Information-based Model for Knowledge Management

    E-print Network

    Devlin, Keith

    Duska Rosenberg & Keith Devlin - 1 - 1/11/07 Information-based Model for Knowledge Management communications as a resource for knowledge management within and between distributed organizations. A particular developed to study novel patterns of knowledge management in a technology-enhanced workplace3 . The PIF

  4. Move More. Sit Less. 2014 1 Physical Activity Support Kit Initiative (PASKI). A BC Physical Therapy Knowledge Broker project. UBC Faculty of

    E-print Network

    Move More. Sit Less. 2014 1 Physical Activity Support Kit Initiative (PASKI). A BC Physical Therapy Knowledge Broker project. UBC Faculty of Medicine, Department of Physical Therapy, Physiotherapy Association (PASKI). A BC Physical Therapy Knowledge Broker project. UBC Faculty of Medicine, Department of Physical

  5. Collaborative Knowledge Production Model in the Field of Organizational Development

    ERIC Educational Resources Information Center

    Ramstad, Elise

    2008-01-01

    The paper proposes a framework for collaborative knowledge production in order to enhance the amount and quality of knowledge in the field of organizational development (OD). We distinguish three types of actors that offer development services for work organizations: academic R&D units, training and educational institutes and management…

  6. Requirements Specification and Model-based Knowledge Engineering

    Microsoft Academic Search

    Jürgen Angele; Rudi Studer; Formale Beschreibungsverfahren

    1997-01-01

    Knowledge Engineering (KE) and Software Engineering (SE) have similar goals: developing methods, techniques, and tools for the building process of either knowledge based systems (kbs) or (complex) traditional software. Due to this kinship it seems obvious to analyse to which extent both areas, KE and SE, can benefit from each other. In this paper we want to argue from the

  7. The Knowledge of Teaching: The K3P3 Model

    ERIC Educational Resources Information Center

    Kolis, Mickey; Dunlap, William P.

    2004-01-01

    Good teaching is ultimately deeply and thoroughly grounded in knowledge. The days of the "if you can't do anything else, then teach" mentality are long gone, ushered out due to major changes in knowledge about effective teaching. The National Board for Professional Teaching Standards, National Council for the Accreditation of Teacher Education…

  8. Quantifying Prior Determination Knowledge using the PAC Learning Model

    E-print Network

    demonstrates that PAC learning can also be used to analyze semantic bias, such as a domain theory about. Keywords: Determinations, PAC Learning, Bias, Prior Knowledge, Incomplete Theories. Running Head, machine learning programs like FOCL rely on a \\domain theory" to expedite learning new knowledge Pazzani

  9. An empirical investigation of the knowledge management strategic alignment model

    Microsoft Academic Search

    Yue-Yang Chen; Hui-Ling Huang; Tsai-Pei Liu

    2007-01-01

    Knowledge has been regarded as an important strategic resource in organizations, it is necessary to know about how to manage and integrate various kinds of resources effectively that are bestead to knowledge management. Recently, the importance of the information technology (IT) for effective KM activities has been indicated. The match of IT and KM is an important concern for executives.

  10. Integrating Observations and Knowledges for Earthquake Precursors Studies. Preliminary results and strategy of PRE-EARTHQUAKES FP7 Project

    NASA Astrophysics Data System (ADS)

    Tramutoli, V.; Inan, S.; Jakowski, N.; Pulinets, S. A.; Romanov, A.; Filizzola, C.; Shagimuratov, I.; Pergola, N.; Genzano, N.; Alparslan, E.; Wilken, V.; Tsybulia, K.; Romanov, A.; Paciello, R.; Zakharenkova, I.; Lisi, M.; Borrries, C.; Trusov, S.; Coviello, I.; PRE-EARTHQUAKES Team

    2011-12-01

    From the combined use of different observations/parameters, from the refinement of data analysis methods and the development of suitable physical models, we are expecting major progresses in the research on earthquake's preparatory phases. More than from the use of a single parameter approach, reduced false alarm rates and improved reliability and precision (in the space-time domain) of predictions, are expected from a multi-parameter observational, multi-disciplinary, research, strategy. Less than one year after its start, PRE-EARTHQUAKES FP7 Project already demonstrated its capability to commit together independent expertise and different observation capabilities in order: a) to substantially improve our knowledge of preparatory phases of earthquakes and their possible precursors; b) to promote a worldwide Earthquake Observation System (EQuOS) as a dedicated component of GEOSS (Global Earth Observation System of Systems); c) to develop and offer to the international scientific community an integration platform where independent observations and new data analysis methodologies devoted to the research on/of earthquake precursors can be collected and cross-validated. In this paper results achieved so far, in particular on the earthquakes selected as test cases occurred in recent years in Italy (M6.3 Abruzzo April 2009), Sakhalin (M6,2, Nevelsk, August 2007) and Turkey (M6,1, Elazig March 2010) will be presented emphasizing the significant added values guaranteed by a multi-parameter, multi-disciplinary strategy.

  11. The motivations-attributes-skills-knowledge competency cluster validation model an empirical study 

    E-print Network

    Stevens, Jeffery Allen

    2004-09-30

    -Attributes-Skills-Knowledge Inverted Funnel Validation (MIFV) competency cluster model. The second purpose of this empirical research study was to introduce a new competency cluster validation model (MIFV). This model, if properly developed, should serve as a strong workforce...

  12. A Model of Knowledge Acquisition in Early Stage Breast Cancer Patients

    PubMed Central

    Warren, Laura E.; Mendlinger, Sheryl E.; Corso, Katherine A.; Greenberg, Caprice C.

    2012-01-01

    To meaningfully participate in the decision-making regarding a newly diagnosed breast cancer, a patient must acquire new knowledge. We describe a model of knowledge acquisition that can provide a framework for exploring the process and types of knowledge that breast cancer patients gain following their diagnosis. The four types of knowledge presented in this model—authoritative, technical, embodied, and traditional—are described and potential sources discussed. An understanding of knowledge acquisition in early stage breast cancer patients can provide healthcare practitioners with an important framework for optimizing decision-making in this population. PMID:22226068

  13. A structure-function-control paradigm for knowledge-based modeling and design of manufacturing workcells

    Microsoft Academic Search

    Stefano Caselli; Constantinos Papaconstantinou; Keith L. Doty; Shamkant Navathe

    1992-01-01

    This paper discusses the integration of structural, functional and control knowledge in manufacturing workcell modeling, simulation and design. After an overview of applications of semantic and object-oriented data models in the manufacturing domain, issues relating to the control synthesis for manufacturing workcells are presented. In particular, a data model encompassing functional and control features, along with application domain structural knowledge,

  14. Computational Customer Behavior Modeling for Knowledge Management with an Automatic Categorization Using Retail Service's Datasets

    Microsoft Academic Search

    Tsukasa Ishigaki; Takeshi Takenaka; Yoichi Motomura

    2010-01-01

    In the retail service, knowledge management with point of sales (POS) data mining is integral to maintaining and improving productivity. The present paper describes a method of computational customer behavior modeling based on real datasets, and we demonstrate some knowledge extractions from the model. The model is constructed by Bayesian network based on a large-scale POS dataset that incorporates customer

  15. The role of organizational knowledge management in successful ERP implementation projects

    Microsoft Academic Search

    Ramin Vandaie

    2008-01-01

    Special attention to critical success factors in the implementation of Enterprise Resource Planning systems is evident from the bulk of literature on this issue. In order to implement these systems that are aimed at improving the sharing of enterprise-wide information and knowledge, organizations must have the capa- bility of effective knowledge sharing to start with. Based on a review of

  16. Abstract--In the Structuring Nanotechnology Knowledge project, a material-independent platform for supporting

    E-print Network

    Mizoguchi, Riichiro

    for supporting development of innovative nano-materials is developed. The platform is called "Structured Knowledge Platform for Nano-materials and Products". It consists of various kinds of resources. However development of innovative nano-materials, which is called "Structured Knowledge Platform for Nano-materials

  17. The Impact of a Community Mobilization Project on Health-Related Knowledge and Practices in Cameroon.

    ERIC Educational Resources Information Center

    Babalola, Stella; Sakolsky, Natasha; Vondrasek, Claudia; Mounlom, Damaris; Brown, Jane; Tchupo, Jean-Paul

    2001-01-01

    Evaluated the impact of a reproductive health community mobilization initiative in Cameroon. Baseline and followup survey data indicated that at a rural site, the intervention positively influenced family planning knowledge and practices, HIV/AIDS and sexually transmitted disease knowledge and attitudes, and use of health services. At an urban…

  18. Tools and Approaches for the Construction of Knowledge Models from the Neuroscientific Literature

    PubMed Central

    Burns, Gully A. P. C.; Khan, Arshad M.; Ghandeharizadeh, Shahram; O’Neill, Mark A.; Chen, Yi-Shin

    2015-01-01

    Within this paper, we describe a neuroinformatics project (called “NeuroScholar,” http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a “real-world” neuroscience question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar enables the system to work and illustrate different components of the user interface. We then describe the knowledge management strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called the “View-Primitive-Data Model framework,” [VPDMf]) to provide an open-source, accelerated software development environment for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable software engineering tools. PMID:15055395

  19. Project Title Improved Emission Models for Project Evaluation (MOVES-Matrix) University Georgia Institute of Technology

    E-print Network

    California at Davis, University of

    Project Title Improved Emission Models for Project Evaluation (MOVES-Matrix) University Georgia or organization) DOT - $92,292.15 Total Project Cost $92,292.15 Agency ID or Contract Number DTRT13-G-UTC29 Start and End Dates November 2013 - June 2015 Brief Description of Research Project Local governments are using

  20. Knowledge-based software engineering environments

    Microsoft Academic Search

    Rudi Studer

    1985-01-01

    A general architecture for a distributed knowledge-based software engineering environment is described. The proposed knowledge base is composed of four parts: artifacts description, project management model, tool description and user model. The knowledge base is used by the user assistant component handling all communication between the user and the system. For supporting the co-operation and communication between the members of

  1. Management of project knowledge and experiences: The role of technologies and social processes

    Microsoft Academic Search

    Ahmed Obaide

    2008-01-01

    Modern organizations have to react fast and be flexible to innovative and multidisciplinary questions. Therefore, organizing by projects is on a strong increase, particularly, in the engineering sector. Projects are accepted to be learning intensive organizational forms. Each project involves the production or provision of a one-of-a-kind product or service. During a project, team-members continuously encounter new problems for which,

  2. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 68: Who is Managing Knowledge? The Implications for Knowledge Production and Management of Global Strategic Alliances in Knowledge Dependent Industries

    NASA Technical Reports Server (NTRS)

    Golich, Vicki L.; Pinelli, Thomas

    1998-01-01

    Knowledge is the foundation upon which researchers build as they innovate. Innovation lies at the core of a state's or a firm's ability to survive in a competitive world. Indeed, some economic historians ever that technological innovation, not trade, is the engine to economic growth. Despite the centrality of knowledge to corporate success, analysts have only recently shown an interest in the "knowledge capital" or "intellectual capital" of the firm, often literally trying to assign a value to this resource.

  3. Building information models for astronomy projects

    NASA Astrophysics Data System (ADS)

    Ariño, Javier; Murga, Gaizka; Campo, Ramón; Eletxigerra, Iñigo; Ampuero, Pedro

    2012-09-01

    A Building Information Model is a digital representation of physical and functional characteristics of a building. BIMs represent the geometrical characteristics of the Building, but also properties like bills of quantities, definition of COTS components, status of material in the different stages of the project, project economic data, etc. The BIM methodology, which is well established in the Architecture Engineering and Construction (AEC) domain for conventional buildings, has been brought one step forward in its application for Astronomical/Scientific facilities. In these facilities steel/concrete structures have high dynamic and seismic requirements, M&E installations are complex and there is a large amount of special equipment and mechanisms involved as a fundamental part of the facility. The detail design definition is typically implemented by different design teams in specialized design software packages. In order to allow the coordinated work of different engineering teams, the overall model, and its associated engineering database, is progressively integrated using a coordination and roaming software which can be used before starting construction phase for checking interferences, planning the construction sequence, studying maintenance operation, reporting to the project office, etc. This integrated design & construction approach will allow to efficiently plan construction sequence (4D). This is a powerful tool to study and analyze in detail alternative construction sequences and ideally coordinate the work of different construction teams. In addition engineering, construction and operational database can be linked to the virtual model (6D), what gives to the end users a invaluable tool for the lifecycle management, as all the facility information can be easily accessed, added or replaced. This paper presents the BIM methodology as implemented by IDOM with the E-ELT and ATST Enclosures as application examples.

  4. Atmospheric model intercomparison project: Monsoon simulations

    SciTech Connect

    Sperber, K.R. [Lawrence Livermore National Lab., CA (United States). Program for Climate Model Diagnosis and Intercomparison; Palmer, T.N. [European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)

    1994-06-01

    The simulation of monsoons, in particular the Indian summer monsoon, has proven to be a critical test of a general circulation model`s ability to simulate tropical climate and variability. The Monsoon Numerical Experimentation Group has begun to address questions regarding the predictability of monsoon extremes, in particular conditions associated with El Nino and La Nina conditions that tend to be associated with drought and flood conditions over the Indian subcontinent, through a series of seasonal integrations using analyzed initial conditions from successive days in 1987 and 1988. In this paper the authors present an analysis of simulations associated with the Atmospheric Model Intercomparison Project (AMIP), a coordinated effort to simulate the 1979--1988 decade using standardized boundary conditions with approximately 30 atmospheric general circulation models. The 13 models analyzed to date are listed. Using monthly mean data from these simulations they have calculated indices of precipitation and wind shear in an effort to access the performance of the models over the course of the AMIP decade.

  5. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 23: The communications practices of US aerospace engineering faculty and students: Results of the phase 3 survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis U.S. aerospace engineering faculty and students.

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 34: How early career-stage US aerospace engineers and scientists produce and use information

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis the production and use of information by U.S. aerospace engineers and scientists who had changed their American Institute of Aeronautics and Astronautics (AIAA) membership from student to professional in the past five years.

  7. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 33: The technical communications practices of US aerospace engineers and scientists: Results of the phase 1 AIAA mail survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis the technical communications practices of U.S. aerospace engineers and scientists who are members of the American Institute of Aeronautics and Astronautics (AIAA).

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 22: US academic librarians and technical information specialists as information intermediaries: Results of the phase 3 survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis U.S. academic librarians and technical information specialists as information intermediaries.

  9. The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): project framework.

    PubMed

    Warszawski, Lila; Frieler, Katja; Huber, Veronika; Piontek, Franziska; Serdeczny, Olivia; Schewe, Jacob

    2014-03-01

    The Inter-Sectoral Impact Model Intercomparison Project offers a framework to compare climate impact projections in different sectors and at different scales. Consistent climate and socio-economic input data provide the basis for a cross-sectoral integration of impact projections. The project is designed to enable quantitative synthesis of climate change impacts at different levels of global warming. This report briefly outlines the objectives and framework of the first, fast-tracked phase of Inter-Sectoral Impact Model Intercomparison Project, based on global impact models, and provides an overview of the participating models, input data, and scenario set-up. PMID:24344316

  10. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    ERIC Educational Resources Information Center

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  11. Modeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce

    E-print Network

    Molina, Martín

    the utility of advanced knowledge-based techniques to develop web-based applications that help consumersModeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce Martin presents a summary of the advantages provided by the model-based approach for the development of shop- ping

  12. An Knowledge Model for Self-regenerative Service Activations Adaptation across Standards

    E-print Network

    Taleb-Bendiab, A.

    An Knowledge Model for Self-regenerative Service Activations Adaptation across Standards Mengjie Yu such as the self-regenerative system[2] adopt the biological- inspired [2, 3]notions such as natural diversity on an ongoing research into self-regenerative programming model, this paper presents a knowledge

  13. GCSS Cirrus Parcel Model Comparison Project

    NASA Technical Reports Server (NTRS)

    Lin, Ruei-Fong; Starr, David OC.; DeMott, Paul J.; Cotton, Richard; Jensen, Eric; Sassen, Kenneth; Einaudi, Franco (Technical Monitor)

    2000-01-01

    The Cirrus Parcel Model Comparison Project, a project of GCSS Working Group on Cirrus Cloud Systems (WG2), involves the systematic comparison of current models of ice crystal nucleation and growth for specified, typical, cirrus cloud environments. The goal of this project is to document and understand the factors resulting in significant inter-model differences. The intent is to foment research leading to model improvement and validation. In Phase 1 of the project reported here, simulated cirrus cloud microphysical properties are compared for situations of "warm" (-40 C) and "cold" (-60 C) cirrus subject to updrafts of 4, 20 and 100 cm/s, respectively. Five models participated. These models employ explicit microphysical schemes wherein the size distribution of each class of particles (aerosols and ice crystals) is resolved into bins. Simulations are made including both homogeneous and heterogeneous ice nucleation mechanisms. A single initial aerosol population of sulfuric acid particles is prescribed for all simulations. To isolate the treatment of the homogeneous freezing (of haze drops) nucleation process, the heterogeneous nucleation mechanism is disabled for a second parallel set of simulations. Qualitative agreement is found for the homogeneous-nucleation-only simulations, e.g., the number density of nucleated ice crystals increases with the strength of the prescribed updraft. However, non-negligible quantitative differences are found. Detailed analysis reveals that the homogeneous nucleation formulation, aerosol size, ice crystal growth rate (particularly the deposition coefficient), and water vapor uptake rate are critical components that lead to differences in predicted microphysics. Systematic bias exists between results based on a modified classical theory approach and models using an effective freezing temperature approach to the treatment of nucleation. Each approach is constrained by critical freezing data from laboratory studies, but each includes assumptions that can only be justified by further laboratory data. Consequently, it is not yet clear if the two approaches can be made consistent. Large haze particles may deviate considerably from equilibrium size in moderate to strong updrafts (20-100 cm/s) at -60 C when the commonly invoked equilibrium assumption is lifted. The resulting difference in particle-size-dependent solution concentration of haze particles may significantly affect the ice nucleation rate during the initial nucleation interval. The uptake rate for water vapor excess by ice crystals is another key component regulating the total number of nucleated ice crystals. This rate, the product of ice number concentration and ice crystal diffusional growth rate, which is sensitive to the deposition coefficient when ice particles are small, partially controls the peak nucleation rate achieved in an air parcel and the duration of the active nucleation time period. The effects of heterogeneous nucleation are most pronounced in weak updraft situations. Vapor competition by the nucleated (heterogeneous) ice crystals limits the achieved ice supersaturation and thus suppresses the contribution of homogeneous nucleation. Correspondingly, ice crystal number density is markedly reduced. Definitive laboratory and atmospheric benchmark data are needed for the heterogeneous nucleation process. Inter-model differences are correspondingly greater than in the case of the homogeneous nucleation process acting alone.

  14. A model of dynamic rewiring and knowledge exchange in R&D networks

    E-print Network

    Tomasello, Mario Vincenzo; Schweitzer, Frank

    2015-01-01

    This paper investigates the process of knowledge exchange in inter-firm Research and Development (R&D) alliances by means of an agent-based model. Extant research has pointed out that firms select alliance partners considering both network-related and network-unrelated features (e.g. social capital versus complementary knowledge stocks). In our agent-based model, firms are located in a metric knowledge space. The interaction rules incorporate an exploration phase and a knowledge transfer phase, during which firms search for a new partner and then evaluate whether they can establish a profitable alliance to mutually exchange their knowledge stocks. The model parameters determining the overall system properties are the rate at which alliances form and disappear and the agents' interaction radius. Next, we define a novel indicator of performance, based on the distance traveled by the firms in the knowledge space. Remarkably, we find that - depending on the alliance formation rate and the interaction radius -...

  15. Impact of an Educational Hands-on Project on the Antimicrobial, Antitumor and Anti-Inflammatory Properties of Plants on Portuguese Students’ Awareness, Knowledge, and Competences

    PubMed Central

    Azevedo, Maria-Manuel; Pinheiro, Céline; Dias, Alberto C.P.; Pinto-Ribeiro, Filipa; Baltazar, Fátima

    2015-01-01

    Promoting environmental and health education is crucial to allow students to make conscious decisions based on scientific criteria. The study is based on the outcomes of an Educational Project implemented with Portuguese students and consisted of several activities, exploring pre-existent Scientific Gardens at the School, aiming to investigate the antibacterial, antitumor and anti-inflammatory properties of plant extracts, with posterior incorporation in soaps and creams. A logo and a webpage were also created. The effectiveness of the project was assessed via the application of a questionnaire (pre- and post-test) and observations of the participants in terms of engagement and interaction with all individuals involved in the project. This project increased the knowledge about autochthonous plants and the potential medical properties of the corresponding plant extracts and increased the awareness about the correct design of scientific experiments and the importance of the use of experimental models of disease. The students regarded their experiences as exciting and valuable and believed that the project helped to improve their understanding and increase their interest in these subjects and in science in general. This study emphasizes the importance of raising students’ awareness on the valorization of autochthonous plants and exploitation of their medicinal properties. PMID:25711362

  16. Building integral projection models: a user's guide.

    PubMed

    Rees, Mark; Childs, Dylan Z; Ellner, Stephen P

    2014-05-01

    In order to understand how changes in individual performance (growth, survival or reproduction) influence population dynamics and evolution, ecologists are increasingly using parameterized mathematical models. For continuously structured populations, where some continuous measure of individual state influences growth, survival or reproduction, integral projection models (IPMs) are commonly used. We provide a detailed description of the steps involved in constructing an IPM, explaining how to: (i) translate your study system into an IPM; (ii) implement your IPM; and (iii) diagnose potential problems with your IPM. We emphasize how the study organism's life cycle, and the timing of censuses, together determine the structure of the IPM kernel and important aspects of the statistical analysis used to parameterize an IPM using data on marked individuals. An IPM based on population studies of Soay sheep is used to illustrate the complete process of constructing, implementing and evaluating an IPM fitted to sample data. We then look at very general approaches to parameterizing an IPM, using a wide range of statistical techniques (e.g. maximum likelihood methods, generalized additive models, nonparametric kernel density estimators). Methods for selecting models for parameterizing IPMs are briefly discussed. We conclude with key recommendations and a brief overview of applications that extend the basic model. The online Supporting Information provides commented R code for all our analyses. PMID:24219157

  17. SPIE Medical Imaging 2006 San Diego Knowledge modeling in image-guided neurosurgery: application in

    E-print Network

    Paris-Sud XI, Université de

    SPIE Medical Imaging 2006 San Diego Knowledge modeling in image-guided neurosurgery: application, Rennes, France ABSTRACT During an image-guided neurosurgery procedure, the neuronavigation system modeling, formalization, data mining 1. INTRODUCTION During an image-guided neurosurgery procedure

  18. Modeling drug information for a prescription-oriented knowledge base on drugs.

    PubMed

    Milstein, C; de Zegher, I; Venot, A; Séné, B; Pietri, P; Dahlberg, B

    1995-09-01

    There exists little theoretical analysis how to represent knowledge on drugs required for computerized drug-prescription applications. A work package drug information modeling is described which was part of the European OPADE project. We describe the content and structure of a Drug Knowledge Base (DKB) designed to meet the requirements of decision-support systems in the domain of drug therapy, and to facilitate data transfer from various information sources. The definition of the DKB content is derived from the analysis of information requirements at the various stages of the process of the clinical usage of drugs (prescribing, administration, and follow-up). The DKB structure results from the classification of the various data items along two dimensions: (1) entities in the pharmaco-therapeutic domain for which information must be defined (the PharmacoTherapeutic Group, the Component, the ManufacturedPreparation, and the Presentation), and (2) the validity score of the pharmaco-therapeutic information (international, national, or local). PMID:7476462

  19. Toward a Conceptual Model for Social Mechanisms Enabling Knowledge Sharing: Dynamic Relationships among Three Dimensions of Social Capital

    ERIC Educational Resources Information Center

    Jo, Sung Jun

    2008-01-01

    Knowledge sharing is important because individual knowledge is not transformed into organizational knowledge until it is shared. The conceptual model presents how social factors create the conditions for effective knowledge sharing. It illustrates how three dimensions of social capital impact with each other and with knowledge sharing. Social…

  20. Construction of dynamic stochastic simulation models using knowledge-based techniques

    NASA Technical Reports Server (NTRS)

    Williams, M. Douglas; Shiva, Sajjan G.

    1990-01-01

    Over the past three decades, computer-based simulation models have proven themselves to be cost-effective alternatives to the more structured deterministic methods of systems analysis. During this time, many techniques, tools and languages for constructing computer-based simulation models have been developed. More recently, advances in knowledge-based system technology have led many researchers to note the similarities between knowledge-based programming and simulation technologies and to investigate the potential application of knowledge-based programming techniques to simulation modeling. The integration of conventional simulation techniques with knowledge-based programming techniques is discussed to provide a development environment for constructing knowledge-based simulation models. A comparison of the techniques used in the construction of dynamic stochastic simulation models and those used in the construction of knowledge-based systems provides the requirements for the environment. This leads to the design and implementation of a knowledge-based simulation development environment. These techniques were used in the construction of several knowledge-based simulation models including the Advanced Launch System Model (ALSYM).

  1. Knowledge Modeling at the Millennium (The Design and Evolution of Protégé-2000)

    Microsoft Academic Search

    William E. Grosso; Henrik Eriksson; Ray W. Fergerson; John H. Gennari; Samson W. Tu; Mark A. Musen

    1999-01-01

    It has been 13 years since the first version of Protégé was run. The original tool was a small application, aimed mainly at building knowledge-acquisition tools for a few very specialized programs (it grew out of the ONCOCIN project and the subsequent attempts to build expert systems for protocol-based therapy planning). The most recent version, Protégé-2000, incorporates the Open Knowledge

  2. The Sigma Model on Complex Projective Superspaces

    E-print Network

    Constantin Candu; Vladimir Mitev; Thomas Quella; Hubert Saleur; Volker Schomerus

    2009-08-11

    The sigma model on complex projective superspaces CP^{S-1|S} gives rise to a continuous family of interacting 2D conformal field theories which are parametrized by the curvature radius R and the theta angle \\theta. Our main goal is to determine the spectrum of the model, non-perturbatively as a function of both parameters. We succeed to do so for all open boundary conditions preserving the full global symmetry of the model. In string theory parlor, these correspond to volume filling branes that are equipped with a monopole line bundle and connection. The paper consists of two parts. In the first part, we approach the problem within the continuum formulation. Combining combinatorial arguments with perturbative studies and some simple free field calculations, we determine a closed formula for the partition function of the theory. This is then tested numerically in the second part. There we propose a spin chain regularization of the CP^{S-1|S} model with open boundary conditions and use it to determine the spectrum at the conformal fixed point. The numerical results are in remarkable agreement with the continuum analysis.

  3. The Sigma Model on Complex Projective Superspaces

    E-print Network

    Candu, Constantin; Quella, Thomas; Saleur, Hubert; Schomerus, Volker

    2009-01-01

    The sigma model on complex projective superspaces CP^{S-1|S} gives rise to a continuous family of interacting 2D conformal field theories which are parametrized by the curvature radius R and the theta angle \\theta. Our main goal is to determine the spectrum of the model, non-perturbatively as a function of both parameters. We succeed to do so for all open boundary conditions preserving the full global symmetry of the model. In string theory parlor, these correspond to volume filling branes that are equipped with a monopole line bundle and connection. The paper consists of two parts. In the first part, we approach the problem within the continuum formulation. Combining combinatorial arguments with perturbative studies and some simple free field calculations, we determine a closed formula for the partition function of the theory. This is then tested numerically in the second part. There we propose a spin chain regularization of the CP^{S-1|S} model with open boundary conditions and use it to determine the spect...

  4. The Lunar Mapping and Modeling Project Update

    NASA Technical Reports Server (NTRS)

    Noble, S.; French, R.; Nall, M.; Muery, K.

    2010-01-01

    The Lunar Mapping and Modeling Project (LMMP) is managing the development of a suite of lunar mapping and modeling tools and data products that support lunar exploration activities, including the planning, design, development, test, and operations associated with crewed and/or robotic operations on the lunar surface. In addition, LMMP should prove to be a convenient and useful tool for scientific analysis and for education and public outreach (E/PO) activities. LMMP will utilize data predominately from the Lunar Reconnaissance Orbiter, but also historical and international lunar mission data (e.g. Lunar Prospector, Clementine, Apollo, Lunar Orbiter, Kaguya, and Chandrayaan-1) as available and appropriate. LMMP will provide such products as image mosaics, DEMs, hazard assessment maps, temperature maps, lighting maps and models, gravity models, and resource maps. We are working closely with the LRO team to prevent duplication of efforts and ensure the highest quality data products. A beta version of the LMMP software was released for limited distribution in December 2009, with the public release of version 1 expected in the Fall of 2010.

  5. Performance evaluation model for project managers using managerial practices

    Microsoft Academic Search

    Sheu Hua Chen; Hong Tau Lee

    2007-01-01

    There are many studies address the issues of finding the critical success factors of projects. In this study, we focus on the performance of the people who manage projects. A performance evaluation model for project managers is constructed on the basis of managerial practices. This model incorporates leadership behaviors that lead to managerial practices with some essential factors that may

  6. An Intelligent Model for Software Project Risk Prediction

    Microsoft Academic Search

    Yong Hu; Xiangzhou Zhang; Xin Sun; Mei Liu; Jianfeng Du

    2009-01-01

    Software project development is a risky process with high failure rate. This paper proposes an intelligent model that can predict and control software development risks from an overall project perspective rather than focusing only on the single factor, project output. In this study, we first constructed a formal model for risk identification, and then collected actual cases from software development

  7. Pataha Creek Model Watershed : 1998 Habitat Conservation Projects.

    SciTech Connect

    Bartels, Duane G.

    1999-12-01

    The projects outlined in detail on the attached project reports are a few of the many projects implemented in the Pataha Creek Model Watershed since it was selected as a model in 1993. 1998 was a year where a focused effort was made to work on the upland conservation practices to reduce the sedimentation into Pataha Creek.

  8. Automatically Associating Documents with Concept Map Knowledge Models

    E-print Network

    Menczer, Filippo

    relevant concept maps in a concept map library, using natural language processing techniques. It presents: Concept mapping, document classification, knowledge representation, natural language pro- cessing 1 in a formal representation: They use natural language for concept and link labels, and the concept-link-concept

  9. Knowledge base system visualization reasoning model based on ICON

    Microsoft Academic Search

    Deyun Chen; Shujun Pei; Zhiying Quan

    2005-01-01

    Knowledge base system is one of the most future branches for artificial intelligence facing with practical application. But the reasoning process of system is invisible, not visual and users cannot intervene the reasoning process, therefore for users the system is only a black box. This condition causes many users to take a suspicious attitude to the conclusions analyzing and drawing

  10. Knowledge Mining Biological Network Models S.H. Muggleton

    E-print Network

    Boyer, Edmond

    knowledge on existing known biochemical networks from publicly available resources such as KEGG and Biocyc of metabolites is transformed to another mediated by the involvement of an enzyme. Existing genomic information Academy of Engineering and Microsoft Research Chair (2007-) and is Director of the Imperial College

  11. Qualitative Knowledge Models in Functional Genomics and Proteomics

    Microsoft Academic Search

    MOR PELEG; IRENE S. GABASHVILI; RUSS B. ALTMAN

    Predicting pathological phenotypes based on genetic mutations remains a fundamental and unsolved issue. When a gene is mutated, the molecular function- ality of the gene product may be affected and many cellular processes may go awry. Basic molecular functions occur in networks of interactions and events that produce subsequent cellular and physiological functions. Most knowledge of these interactions is represented

  12. An extended process model of knowledge discovery in database

    Microsoft Academic Search

    Tianrui Li; Da Ruan

    2007-01-01

    Purpose – Much research on knowledge discovery in database (KDD) merely pays attention to data mining, one of many interacting steps in the process of discovering previously unknown and potentially interesting patterns in large databases, but little to the whole process. However, such approaches cannot satisfy the need of real applications of KDD. The purpose of this work is to

  13. Model for knowledge-sharing strategies: a game theory analysis

    Microsoft Academic Search

    S. P. Ho; Y. Hsu; E. Lin

    2011-01-01

    Recently, knowledge management (KM) has drawn immense attention from researchers and practitioners in many industries and has become increasingly important in business management practice. From the resource-based view, the integration of individuals' specialized organizational capability through KM has been considered crucial to the creation and sustainability of competitive advantages. However, most KM literature tends to focus on the ‘technology side’

  14. Knowledge Modeling for Adaptive Content Selection in Educational Hypermedia Systems

    Microsoft Academic Search

    Pythagoras Karampiperis; Demetrios Sampson

    2004-01-01

    Adaptive content selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems. In this paper, we address the adaptive content selection problem in educational hypermedia systems proposing a concrete methodology for capturing expert's knowledge on selection of learning content following the philosophy and principles of techniques derived from computational intelligence. The result is

  15. THE FICHTEAN IDEA OF THE SCIENCE OF KNOWLEDGE AND THE HUSSERLIAN PROJECT

    E-print Network

    Hyppolite, Jean; Nemeth, Tom (translator)

    80 sciences of experience and of the experience itself. This is the Kantian question, radically posed: "How is science possible; how is experience possible?" But whereas the method of Kant is apagogical, the method of Fichte wants to be ostensive... of Knowledge and the Primordial. The science of knowledge is for Fichte the systematic, and then deductive, account of this universal science of science, but insofar as it is science it has an object. The question is posed then of the relations which can...

  16. Knowledge Management in Manufacturing Process Modeling: Case Studies in Selected Manufacturing Processes

    Microsoft Academic Search

    George Chryssolouris; Nikolaos Papakostas; Dimitris Mourtzis; Sotiris Makris

    In this chapter, a diverse set of applications in different manufacturing areas is examined in order to demonstrate the different\\u000a approaches followed for the knowledge management in manufacturing process modeling. The discussion includes: the information\\u000a technology platforms for knowledge management in manufacturing, the automotive assembly process, the knowledge management\\u000a for the estimation of the cost of an aircraft engine, a

  17. Scenario-Based Design Knowledge Acquiring and Modeling in Collaborative Product Design

    Microsoft Academic Search

    Hao Tan; Jianghong Zhao

    2006-01-01

    Collaborative product design is a typical complex problem-solving process where designers’ knowledge and expertise are always\\u000a tactic and implicit. This paper depicts the concept of design scenario and the scenario-based design knowledge acquiring in\\u000a a cognitive approach. Through a cognitive experiment based on protocol analysis and sketch analysis in terms of scenario-based\\u000a collaborative product design, a model of scenario-based knowledge

  18. Modelling knowledge related to the allocation of modular jigs for part fixturing using fuzzy reasoning

    Microsoft Academic Search

    Patrick Martin; Muriel Lombard

    2006-01-01

    One the problems a workholder designer faces in attempting to gain knowledge about the modelling of the “wear” in a positioning\\u000a system by means of allocating positioning devices to each “virtual”locating point is that this knowledge is often verbalized\\u000a by experts in an imprecise and uncertain way. Knowledge comes from technological know-how, and is developed through experience,\\u000a personal habits and

  19. Conceptual delay mitigation model using a project learning approach in practice

    Microsoft Academic Search

    Imran Ariff Yahya; Mohammed Ali Berawi; Low Wai Wah

    2008-01-01

    There is universal agreement that construction delay is a common phenomenon in the construction industry worldwide. Poor or lack of project knowledge management continues to plague the construction industry, especially in relation to project delays. Knowledge management is used to reduce the impact of construction projects delay using a project learning approach. Three different phases of data collection were used

  20. The Digital Astronaut Project Bone Remodeling Model

    NASA Technical Reports Server (NTRS)

    Pennline, James A.; Mulugeta, Lealem; Lewandowski, Beth E.; Thompson, William K.; Sibonga, Jean D.

    2014-01-01

    Under the conditions of microgravity, astronauts lose bone mass at a rate of 1% to 2% a month, particularly in the lower extremities such as the proximal femur: (1) The most commonly used countermeasure against bone loss has been prescribed exercise, (2) However, current exercise countermeasures do not completely eliminate bone loss in long duration, 4 to 6 months, spaceflight, (3,4) leaving the astronaut susceptible to early onset osteoporosis and a greater risk of fracture later in their lives. The introduction of the Advanced Resistive Exercise Device, coupled with improved nutrition, has further minimized the 4 to 6 month bone loss. But further work is needed to implement optimal exercise prescriptions, and (5) In this light, NASA's Digital Astronaut Project (DAP) is working with NASA physiologists to implement well-validated computational models that can help understand the mechanisms of bone demineralization in microgravity, and enhance exercise countermeasure development.

  1. Enlargement Futures Project: Expert Panel on Technology, Knowledge and Learning. Final Report.

    ERIC Educational Resources Information Center

    Gourova, Elissaveta; Ducatel, Ken; Gavigan, James; Scapolo, Fabiana; Di Pietrogiacomo, Paola

    The next 10 years provide an opportunity for the European Union (EU) to renew the science and technology (S&T) base and build necessary knowledge-society capacities and capabilities in Pre-Accession Countries (PACs). Applied research has faced a major downsize; redressing the balance in the research and development systems is urgently needed.…

  2. Indigenous Knowledge in the Sciences and a Practical Application in the Super Saturday Project.

    ERIC Educational Resources Information Center

    Settee, Priscilla

    This paper reviews books and research papers concerned with Indigenous science knowledge and its integration into school curricula and describes current efforts to bridge Western and Native science. "A Yupiaq World View: Implications for Cultural, Educational and Technological Adaptation in a Contemporary World" (Angayuqaq Oscar Kawagley)…

  3. Resilience and Risk Competence in Schools: Theory/Knowledge and International Application in Project REBOUND

    ERIC Educational Resources Information Center

    Brown, Joel H.; Jean-Marie, Gaetane; Beck, Jerome

    2010-01-01

    Despite a 50-year interdisciplinary and longitudinal research legacy--showing that nearly 80% of young people considered most "at risk" thrive by midlife--only recently have practitioners/researchers engaged in the explicit, prospective facilitation of "resilience" in educational settings. Here, theory/knowledge distinguishing and extending risk…

  4. The Change of Science Teachers' Personal Knowledge about Teaching Models and Modelling in the Context of Science Education Reform

    ERIC Educational Resources Information Center

    Henze, Ineke; Van Driel, Jan; Verloop, Nico

    2007-01-01

    In order to enhance teachers' professional awareness, it is necessary to understand and value their subjective or personal knowledge and beliefs. This study investigated the change of science teachers' personal knowledge about teaching models and modeling in science within the context of educational reform in The Netherlands. The study followed…

  5. A knowledge based model of electric utility operations. Final report

    SciTech Connect

    NONE

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  6. Interrelationship of Knowledge, Interest, and Recall: Assessing a Model of Domain Learning.

    ERIC Educational Resources Information Center

    Alexander, Patricia A.; And Others

    1995-01-01

    Two experiments involving 125 college and graduate students examined the interrelationship of subject-matter knowledge, interest, and recall in the field of human immunology and biology and assessed cross-domain performance in physics. Patterns of knowledge, interest, and performance fit well with the premises of the Model of Domain Learning. (SLD)

  7. To Ontologise or Not To Ontologise: An Information Model for a Geospatial Knowledge Infrastructure

    E-print Network

    Stock, Kristin

    To Ontologise or Not To Ontologise: An Information Model for a Geospatial Knowledge Infrastructure Robertsong *a Centre for Geospatial Science, School of Geography, University of Nottingham, NG7 2RD, UK, University of Edinburgh, UK f University of Muenster, Germany g EDINA, UK A geospatial knowledge

  8. KBMS: A Knowledge-Based System for Modeling Software System Specifications

    Microsoft Academic Search

    Kacem Zeroual; Pierre N. Robillard

    1992-01-01

    Recent research results in software engineering have shown that the process of formalizing and automating software specification activity is moving towards knowledge-based specification systems. A modeling approach and a knowledge-based system that assist in the requirement acquisition, development, and maintenance of such software system specifications are presented.

  9. A knowledge-based approach to spacecraft distributed modeling and simulation

    Microsoft Academic Search

    A Goldfinger; D Silberberg; J Gersh; J Hunt; F Weiskopf; T Spisz; Z. G Mou; G Rogers; R Semmel

    2000-01-01

    The Johns Hopkins University Applied Physics Laboratory is developing a knowledge-based approach to spacecraft distributed modeling and simulation and to sustaining design knowledge. We define an object-oriented decomposition of a virtual spacecraft into both functional and physical classes, and standardize the class methods. Simulations of spacecraft components inherit from the classes and implement the standard methods as well as their

  10. Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?

    ERIC Educational Resources Information Center

    Ghassib, Hisham B.

    2010-01-01

    The basic premise of this paper is the fact that science has become a major industry: the knowledge industry. The paper throws some light on the reasons for the transformation of science from a limited, constrained and marginal craft into a major industry. It, then, presents a productivist industrial model of knowledge production, which shows its…

  11. Modeling Novice-to-Expert Shifts in Problem-Solving Strategy and Knowledge Organization

    Microsoft Academic Search

    Renee Elio; Peternela B. Scharf

    1990-01-01

    This research presents a computer model called EUREKA that begins with novice- like strotegies ond knowledge orgonizotions for solving physics word problems and acquires feotures of knowledge orgonizotions ond basic opprooches that chorocterire experts in this domoin. EUREKA learns a highly interrelated network of problem-type schemes with associated solution methodologies. Initially. super- ficial features of the problem statement form the

  12. Nishimura, S. et al. CHARM as Activity Model to Share Knowledge and Transmit

    E-print Network

    Mizoguchi, Riichiro

    Nishimura, S. et al. Paper: CHARM as Activity Model to Share Knowledge and Transmit Procedural Knowledge and its Application to Nursing Guidelines Integration Satoshi Nishimura1, Yoshinobu Kitamura1 younger generations of nurses and integrate nursing guidelines among multiple hospitals. In this paper

  13. A Model to Assess the Behavioral Impacts of Consultative Knowledge Based Systems.

    ERIC Educational Resources Information Center

    Mak, Brenda; Lyytinen, Kalle

    1997-01-01

    This research model studies the behavioral impacts of consultative knowledge based systems (KBS). A study of graduate students explored to what extent their decisions were affected by user participation in updating the knowledge base; ambiguity of decision setting; routinization of usage; and source credibility of the expertise embedded in the…

  14. A Model of Knowledge Based Information Retrieval with Hierarchical Concept Graph.

    ERIC Educational Resources Information Center

    Kim, Young Whan; Kim, Jin H.

    1990-01-01

    Proposes a model of knowledge-based information retrieval (KBIR) that is based on a hierarchical concept graph (HCG) which shows relationships between index terms and constitutes a hierarchical thesaurus as a knowledge base. Conceptual distance between a query and an object is discussed and the use of Boolean operators is described. (25…

  15. National Models for Continuing Professional Development: The Challenges of Twenty-First-Century Knowledge Management

    ERIC Educational Resources Information Center

    Leask, Marilyn; Younie, Sarah

    2013-01-01

    If teacher quality is the most critical factor in improving educational outcomes, then why is so little attention drawn to the knowledge and evidence base available to support teachers in improving the quality of their professional knowledge? This paper draws together findings from a range of sources to propose national models for continuing…

  16. Vocabulary and Grammar Knowledge in Second Language Reading Comprehension: A Structural Equation Modeling Study

    ERIC Educational Resources Information Center

    Zhang, Dongbo

    2012-01-01

    Using structural equation modeling analysis, this study examined the contribution of vocabulary and grammatical knowledge to second language reading comprehension among 190 advanced Chinese English as a foreign language learners. Vocabulary knowledge was measured in both breadth (Vocabulary Levels Test) and depth (Word Associates Test);…

  17. Sustainable knowledge development across cultural boundaries: Experiences from the EU-project SILMAS (Toolbox for conflict solving instruments in Alpine Lake Management)

    NASA Astrophysics Data System (ADS)

    Fegerl, Michael; Wieden, Wilfried

    2013-04-01

    Increasingly people have to communicate knowledge across cultural and language boundaries. Even though recent technologies offer powerful communication facilities people often feel confronted with barriers which clearly reduce their chances of making their interaction a success. Concrete evidence concerning such problems derives from a number of projects, where generated knowledge often results in dead-end products. In the Alpine Space-project SILMAS (Sustainable Instruments for Lake Management in Alpine Space), in which both authors were involved, a special approach (syneris® ) was taken to avoid this problem and to manage project knowledge in sustainable form. Under this approach knowledge input and output are handled interactively: Relevant knowledge can be developed continuously and users can always access the latest state of expertise. Resort to the respective tools and procedures can also assist in closing knowledge gaps and in developing innovative responses to familiar or novel problems. This contribution intends to describe possible ways and means which have been found to increase the chances of success of knowledge communication across cultural boundaries. The process of trans-cultural discussions of experts to find a standardized solution is highlighted as well as the problem of dissemination of expert knowledge to variant stakeholders. Finally lessons learned are made accessible, where a main task lies in the creation of a tool box for conflict solving instruments, as a demonstrable result of the project and for the time thereafter. The interactive web-based toolbox enables lake managers to access best practice instruments in standardized, explicit and cross-linguistic form.

  18. Researching suicidal distress with LGBT communities in UK: Methodo- logical and ethical reflections on a community-university knowledge ex- change project

    Microsoft Academic Search

    Katherine Johnson

    2007-01-01

    The Brighton and Sussex Community-University Knowledge Exchange Programme's aim (BSCKE) was to fund projects that would lead to an 'exchange of knowledge' through collaborative work between the university and community groups, with a focus on the impact of marginalisation and issues of social exclusion. Our successful submission out- lined a key concern for community psychologists involving the seeming elevated rate

  19. Modeling new coal projects: supercritical or subcritical?

    SciTech Connect

    Carrino, A.J.; Jones, R.B. [Solomon Associates, Dallas, TX (United States)

    2006-11-15

    Decisions made on new build coal-fired plants are driven by several factors - emissions, fuel logistics and electric transmission access all provide constraints. The crucial economic decision whether to build supercritical or subcritical units often depends on assumptions concerning the reliability/availability of each technology, the cost of on-fuel operations including maintenance, the generation efficiencies and the potential for emissions credits at some future value. Modeling the influence of these key factors requires analysis and documentation to assure the assets actually meet the projected financial performance. This article addresses some of the issue related to the trade-offs that have the potential to be driven by the supercritical/subcritical decision. Solomon Associates has been collecting cost, generation and reliability data on coal-fired power generation assets for approximately 10 years using a strict methodology and taxonomy to categorize and compare actual plant operations data. This database provides validated information not only on performance, but also on alternative performance scenarios, which can provide useful insights in the pro forma financial analysis and models of new plants. 1 ref., 1 fig., 3 tabs.

  20. Modelling in Cross-Disciplinary Authentic Student Research Projects

    ERIC Educational Resources Information Center

    Heck, Andre

    2010-01-01

    In the Dutch secondary education system, students must carry out at the end of their school career a research or design project to demonstrate their ability to apply acquired knowledge and skills while pursuing a rather large research question or design goal in some depth. They are encouraged to choose the topic themselves and they are to some…

  1. KERMIT: A Knowledge-based Entity Relationship Modelling Intelligent Tutor

    Microsoft Academic Search

    Pramuditha Suraweera

    2001-01-01

    Database (DB) modelling is the foundation of an efficient database. Similar to other design tasks, database modelling requires extensive practice to excel in it. Conventionally, DB modelling is taught in classrooms where the task of modelling a typical database is demonstrated and students practice in tutorials. Even though one-to-one human tutoring is the most effective teaching method, there will never

  2. A knowledge-based prototyping environment for construction of scientific modeling software

    Microsoft Academic Search

    Richard M. Keller; Michal Rimon; Aseem Das

    1994-01-01

    Over the past 30 years, scientific software models have played an increasingly prominent role in the conduct of science. Unfortunately, scientific models can be difficult and time-consuming to implement, and there is little software engineering support specifically available for constructing scientific models. Because these models are not easily specified to scientifically-naive programmers, and because the scientist requires intimate knowledge of

  3. Introduction to Financial Projection Models. Business Management Instructional Software.

    ERIC Educational Resources Information Center

    Pomeroy, Robert W., III

    This guidebook and teacher's guide accompany a personal computer software program and introduce the key elements of financial projection modeling to project the financial statements of an industrial enterprise. The student will then build a model on an electronic spreadsheet. The guidebook teaches the purpose of a financial model and the steps…

  4. CIVIC KNOWLEDGE Division of the

    E-print Network

    He, Chuan

    THE CIVIC KNOWLEDGE PROJECT ___________ ___________ Division of the Humanities University of Chicago CONTACT INFORMATION ___________ CIVIC KNOWLEDGE PROJECT OFFICE Edelstone Rm 133 6030 IDEAS ___________ The aim of the Civic Knowledge Project (CKP) is to develop and strengthen community

  5. Reconstruction of Biological Networks by Incorporating Prior Knowledge into Bayesian Network Models

    PubMed Central

    Shin, Dong-Guk

    2012-01-01

    Abstract Bayesian network model is widely used for reverse engineering of biological network structures. An advantage of this model is its capability to integrate prior knowledge into the model learning process, which can lead to improving the quality of the network reconstruction outcome. Some previous works have explored this area with focus on using prior knowledge of the direct molecular links, except for a few recent ones proposing to examine the effects of molecular orderings. In this study, we propose a Bayesian network model that can integrate both direct links and orderings into the model. Random weights are assigned to these two types of prior knowledge to alleviate bias toward certain types of information. We evaluate our model performance using both synthetic data and biological data for the RAF signaling network, and illustrate the significant improvement on network structure reconstruction of the proposing models over the existing methods. We also examine the correlation between the improvement and the abundance of ordering prior knowledge. To address the issue of generating prior knowledge, we propose an approach to automatically extract potential molecular orderings from knowledge resources such as Kyoto Encyclopedia of Genes and Genomes (KEGG) database and Gene Ontology (GO) annotation. PMID:23210479

  6. Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

    PubMed

    Quinn, Jamie M; Wagner, Richard K; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed. PMID:25201552

  7. CONSTRUCTION PROJECTS MANAGEMENT EFFECTIVENESS MODELLING WITH NEURAL NETWORKS

    Microsoft Academic Search

    Rasa Apanavi?ien?; Arvydas Juodis

    2003-01-01

    The paper deals with important aspects of construction management key factors identification and their relative significance for the construction projects management effectiveness. The approach of artificial neural network allows the construction projects management effectiveness model to be built and to determine the key determinants from a host of possible management factors that influence the project effectiveness in terms of budget

  8. Supporting project cost threshold decisions via a mathematical cost model

    Microsoft Academic Search

    Wei-Chih Wang

    2004-01-01

    A project cost threshold must be determined in a relatively short time by a project owner as a reference for evaluating competitive bids. In practice, such a decision is mainly based on subjective experience. This work presents a novel systematic procedure for assessing a reasonable project cost threshold. The proposed procedure involves a utility-based multi-criteria evaluation model and a cost

  9. Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models

    E-print Network

    Granada, Universidad de

    association fuzzy rules from this data, is also proposed. The accuracy of the model will be expressed by means will model each set of items by means of a fuzzy number, either for the input and the output variables variables, and the images of the input values provided by the candidate model, which are also fuzzy [4

  10. A Knowledge-Based Representation Scheme for Environmental Science Models

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Dungan, Jennifer L.; Lum, Henry, Jr. (Technical Monitor)

    1994-01-01

    One of the primary methods available for studying environmental phenomena is the construction and analysis of computational models. We have been studying how artificial intelligence techniques can be applied to assist in the development and use of environmental science models within the context of NASA-sponsored activities. We have identified several high-utility areas as potential targets for research and development: model development; data visualization, analysis, and interpretation; model publishing and reuse, training and education; and framing, posing, and answering questions. Central to progress on any of the above areas is a representation for environmental models that contains a great deal more information than is present in a traditional software implementation. In particular, a traditional software implementation is devoid of any semantic information that connects the code with the environmental context that forms the background for the modeling activity. Before we can build AI systems to assist in model development and usage, we must develop a representation for environmental models that adequately describes a model's semantics and explicitly represents the relationship between the code and the modeling task at hand. We have developed one such representation in conjunction with our work on the SIGMA (Scientists' Intelligent Graphical Modeling Assistant) environment. The key feature of the representation is that it provides a semantic grounding for the symbols in a set of modeling equations by linking those symbols to an explicit representation of the underlying environmental scenario.

  11. Generating a mortality model from a pediatric ICU (PICU) database utilizing knowledge discovery.

    PubMed Central

    Kennedy, Curtis E.; Aoki, Noriaki

    2002-01-01

    Current models for predicting outcomes are limited by biases inherent in a priori hypothesis generation. Knowledge discovery algorithms generate models directly from databases, minimizing such limitations. Our objective was to generate a mortality model from a PICU database utilizing knowledge discovery techniques. The database contained 5067 records with 192 clinically relevant variables. It was randomly split into training (75%) and validation (25%) groups. We used decision tree induction to generate a mortality model from the training data, and validated its performance on the validation data. The original PRISM algorithm was used for comparison. The decision tree model contained 25 variables and predicted 53/88 deaths; 29 correctly (Sens:33%, Spec:98%, PPV:54%). PRISM predicted 27/88 deaths correctly (Sens:30%, Spec:98%, PPV:51%). Performance difference between models was not significant. We conclude that knowledge discovery algorithms can generate a mortality model from a PICU database, helping establish validity of such tools in the clinical medical domain. PMID:12463850

  12. Understanding Ecology Content Knowledge and Acquiring Science Process Skills through Project-Based Science Instruction

    ERIC Educational Resources Information Center

    Colley, Kabba E.

    2006-01-01

    This activity discusses a two-day unit on ecology implemented during the summer of 2004 using the project-based science instructional (PBSI) approach. Through collaborative fieldwork, group discussions, presentations, and reflections, students planned, implemented, and reported their own scientific investigations on the environmental health of…

  13. Prime the Pipeline Project (P[cube]): Putting Knowledge to Work

    ERIC Educational Resources Information Center

    Greenes, Carole; Wolfe, Susan; Weight, Stephanie; Cavanagh, Mary; Zehring, Julie

    2011-01-01

    With funding from NSF, the Prime the Pipeline Project (P[cube]) is responding to the need to strengthen the science, technology, engineering, and mathematics (STEM) pipeline from high school to college by developing and evaluating the scientific village strategy and the culture it creates. The scientific village, a community of high school…

  14. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 27: Knowledge diffusion and US government technology policy: Issues and opportunities for sci/tech librarians

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Hannah, Stan; Lawrence, Barbara; Kennedy, John M.

    1992-01-01

    Federal involvement in simulating economic growth through the development and application of technology policy is currently the subject of serious debate. A recession and the recognition that an internationally competitive economy is a prerequisite for the attainment of national goals have fostered a number of technology policy initiatives aimed at improving the economic competitiveness of American industry. This paper suggests that the successful implementation of U.S. technology policy will require the adoption of a knowledge diffusion model, the development of user oriented information products and services, and a more 'activist' approach on the part of sci/tech librarians in the provision of scientific and technical information (STI). These changes will have a dramatic impact on the sci/tech library of the future and the preparation of sci/tech librarians.

  15. Knowledge-based model building of proteins: concepts and examples.

    PubMed Central

    Bajorath, J.; Stenkamp, R.; Aruffo, A.

    1993-01-01

    We describe how to build protein models from structural templates. Methods to identify structural similarities between proteins in cases of significant, moderate to low, or virtually absent sequence similarity are discussed. The detection and evaluation of structural relationships is emphasized as a central aspect of protein modeling, distinct from the more technical aspects of model building. Computational techniques to generate and complement comparative protein models are also reviewed. Two examples, P-selectin and gp39, are presented to illustrate the derivation of protein model structures and their use in experimental studies. PMID:7505680

  16. A model-based multisensor data fusion knowledge management approach

    NASA Astrophysics Data System (ADS)

    Straub, Jeremy

    2014-06-01

    A variety of approaches exist for combining data from multiple sensors. The model-based approach combines data based on its support for or refutation of elements of the model which in turn can be used to evaluate an experimental thesis. This paper presents a collection of algorithms for mapping various types of sensor data onto a thesis-based model and evaluating the truth or falsity of the thesis, based on the model. The use of this approach for autonomously arriving at findings and for prioritizing data are considered. Techniques for updating the model (instead of arriving at a true/false assertion) are also discussed.

  17. Comments on "A Petri net model for temporal knowledge representation and reasoning".

    PubMed

    Chen, S M; Jong, W T

    1997-01-01

    Yao (1994) has presented a unified time Petri net model (TPN) for temporal knowledge representation and reasoning, where the TPN model presented has a good contribution to the aspect of temporal knowledge representation and reasoning. However, there are a number of errors which should be corrected. The purpose of the paper is to identify these errors, and the corrections provided permit the readers who have been confused by the errors to gain a better understanding of the good ideas presented. PMID:18255854

  18. Epidemiologic and behavioral characterization of knowledge of condom use and modeling among military personnel

    PubMed Central

    Holmes, Laurens; Ogungbade, Gbadebo; Ward, Doriel D.; Ross, Michael W.; Ekong, Ernest; Essien, Ekere James

    2008-01-01

    How accurately condoms are being used vary across populations and knowledge of the factors determining its proper use remains unclear. Knowledge of such differentials and determinants would aid in evaluating the contributions of condom use to HIV epidemic reduction. Baseline data from the Situationally Focused Individual HIV/AIDS intervention to promote HIV protective behavior among 2,213 Nigerian Military Personnel were analyzed. Using composite score of the six steps for the knowledge of condom use and modeling as the outcome variable, we examined educational status as a predictor variable, modeling with unconditional univariable and multivariable logistic regression. In the unadjusted logistic regression model, compared to those with less than high school education, those with high school and some college education were two times more likely to demonstrate knowledge of condom use and modeling, prevalence odds ratio, 2.32, 95% Confidence Interval (CI)=1.60-3.37. However, the statistically significant association failed to persist after adjustment for the relevant covariates, prevalence odds ratio, 1.62, 95% CI=0.78-3.38. This study is indicative of low knowledge of condom use and modeling among the Nigerian military personnel; as well as a direct correlation between education attainment and knowledge of condom use and modeling. PMID:19122783

  19. Science teachers' knowledge about and attitudes towards the use of models and modelling in learning science

    NASA Astrophysics Data System (ADS)

    Justi, Rosária S.; Gilbert, John K.

    2002-12-01

    A semi-structured interview was used to enquire into the knowledge of models and modelling held by a total sample of 39 Brazilian science teachers working in 'fundamental' (ages 6-14 years) and 'medium' (ages 15-17 years) schools, student teachers, and university teachers. This paper focuses on their perceptions of the role of models in science teaching. The teachers' ideas are organized in three groups: the status and value of models; the influences that inform the translation of these general ideas into classroom practice; and how they respond to the outcomes of students' modelling activities. The teachers interviewed generally showed an awareness of the value of models in the learning of science but not of their value in learning about science. They were also uncertain of the relationship that could exist in the classroom between various types of models. Modelling, as an activity by students, whilst praised in theory, would not seem to be widely practised. Where practised, the outcomes are by no means always treated with that integrity that learning about science would call for.

  20. Comparing three methods for modeling the uncertainty in knowledge discovery from area-class soil maps

    NASA Astrophysics Data System (ADS)

    Qi, Feng; Zhu, A.-Xing

    2011-09-01

    Knowledge discovery has been demonstrated as an effective approach to extracting knowledge from existing data sources for soil classification and mapping. Soils are spatial entities with fuzzy boundaries. Our study focuses on the uncertainty associated with class assignments when classifying such entities. We first present a framework of knowledge representation for categorizing spatial entities with fuzzy boundaries. Three knowledge discovery methods are discussed next for extracting knowledge from data sources. The methods were designed to maintain information for modeling the uncertainties associated with class assignments when using the extracted knowledge for classification. In a case study of knowledge discovery from an area-class soil map, all three methods were able to extract knowledge embedded in the map to classify soils at accuracies comparable to that of the original map. The methods were also able to capture membership gradations and helped to identify transitional zones and areas of potential problems on the source map when measures of uncertainties were mapped. Among the three methods compared, a fuzzy decision tree approach demonstrated the best performance in modeling the transitions between soil prototypes.

  1. Model-based formalization of medical knowledge for context-aware assistance in laparoscopic surgery

    NASA Astrophysics Data System (ADS)

    Kati?, Darko; Wekerle, Anna-Laura; Gärtner, Fabian; Kenngott, Hannes G.; Müller-Stich, Beat P.; Dillmann, Rüdiger; Speidel, Stefanie

    2014-03-01

    The increase of technological complexity in surgery has created a need for novel man-machine interaction techniques. Specifically, context-aware systems which automatically adapt themselves to the current circumstances in the OR have great potential in this regard. To create such systems, models of surgical procedures are vital, as they allow analyzing the current situation and assessing the context. For this purpose, we have developed a Surgical Process Model based on Description Logics. It incorporates general medical background knowledge as well as intraoperatively observed situational knowledge. The representation consists of three parts: the Background Knowledge Model, the Preoperative Process Model and the Integrated Intraoperative Process Model. All models depend on each other and create a concise view on the surgery. As a proof of concept, we applied the system to a specific intervention, the laparoscopic distal pancreatectomy.

  2. A Living-Systems Design Model for Web-based Knowledge Management Systems.

    ERIC Educational Resources Information Center

    Plass, Jan L.; Salisbury, Mark W.

    2002-01-01

    Reviews currently available instructional systems design models and describes a new design model for Web-based knowledge management (KM) systems, based on a living-systems approach, and the mechanisms it contains for accommodating change and growth. Illustrates the application of the phases of the model in the development of a KM system with…

  3. A Web-Based Compositional Modeling System for Sharing of Physical Knowledge

    Microsoft Academic Search

    Yumi Iwasaki; Adam Farquhar; Richard Fikes; James Rice

    1997-01-01

    This paper describes a compositional modeling system called CDME (Collaborative Device Modeling Environment) for constructing domain theories of physical systems, composing models of devices, and simulating their behavior. We have implemented the system with the goal of encouraging sharing as well as the collaborative construction of knowledge bases describing physical domains. To maximize the chance of sharing and reuse of

  4. Preservice Elementary Teachers' Growth in Knowledge of Models in a Science Capstone Course

    ERIC Educational Resources Information Center

    Everett, Susan A.; Otto, Charlotte A.; Luera, Gail R.

    2009-01-01

    We used four different methods to determine the best means of assessing over 200 preservice elementary teachers' growth in knowledge of models and their use in K-8 classrooms while participating in the Science Capstone course that focused on the unifying themes of models in science. Each assessment method probed a different aspect of models (from…

  5. How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis

    ERIC Educational Resources Information Center

    Gong, Yue; Beck, Joseph E.; Heffernan, Neil T.

    2011-01-01

    Student modeling is a fundamental concept applicable to a variety of intelligent tutoring systems (ITS). However, there is not a lot of practical guidance on how to construct and train such models. This paper compares two approaches for student modeling, Knowledge Tracing (KT) and Performance Factors Analysis (PFA), by evaluating their predictive…

  6. User-specific semantics for modeling content-based geospatial knowledge

    Microsoft Academic Search

    Adrian S. Barb; Chi-Ren Shyu

    2007-01-01

    Modern technology enables organizations to build huge geospatial data repositories. But collecting and storing information is not sufficient if it is not backed-up by accurate and flexible methods of extracting knowledge encapsulated in data. Image analysts use individualized models to represent visual patterns found in images. These models may not coincide with the models created by computer algorithms. To be

  7. Semantic Modeling and Knowledge Representation in Multimedia Databases

    Microsoft Academic Search

    Wasfi Al-khatib; Young Francis Day; Arif Ghafoor; P. Bruce Berra

    1999-01-01

    In this paper, we present the current state of the art in semantic data modeling of multimedia data. Semantic conceptualization can be performed at several levels of information granularity, leading to multilevel indexing and searching mechanisms. Various models at different levels of granularity are compared. At the finest level of granularity, multimedia data can be indexed based on image contents,

  8. Students' Coordination of Knowledge When Learning to Model Physical Situations

    ERIC Educational Resources Information Center

    Izsak, Andrew

    2004-01-01

    In this article, I present a study in which 12 pairs of 8th-grade students solved problems about a physical device with algebra. The device, called a winch, instantiates motions that can be modeled by pairs of simultaneous linear functions. The following question motivated the study: How can students generate algebraic models without direct…

  9. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity

    NASA Astrophysics Data System (ADS)

    Hrachowitz, M.; Fovet, O.; Ruiz, L.; Euser, T.; Gharari, S.; Nijzink, R.; Freer, J.; Savenije, H. H. G.; Gascuel-Odoux, C.

    2014-09-01

    Hydrological models frequently suffer from limited predictive power despite adequate calibration performances. This can indicate insufficient representations of the underlying processes. Thus, ways are sought to increase model consistency while satisfying the contrasting priorities of increased model complexity and limited equifinality. In this study, the value of a systematic use of hydrological signatures and expert knowledge for increasing model consistency was tested. It was found that a simple conceptual model, constrained by four calibration objective functions, was able to adequately reproduce the hydrograph in the calibration period. The model, however, could not reproduce a suite of hydrological signatures, indicating a lack of model consistency. Subsequently, testing 11 models, model complexity was increased in a stepwise way and counter-balanced by "prior constraints," inferred from expert knowledge to ensure a model which behaves well with respect to the modeler's perception of the system. We showed that, in spite of unchanged calibration performance, the most complex model setup exhibited increased performance in the independent test period and skill to better reproduce all tested signatures, indicating a better system representation. The results suggest that a model may be inadequate despite good performance with respect to multiple calibration objectives and that increasing model complexity, if counter-balanced by prior constraints, can significantly increase predictive performance of a model and its skill to reproduce hydrological signatures. The results strongly illustrate the need to balance automated model calibration with a more expert-knowledge-driven strategy of constraining models.

  10. UPPER AUGLAIZE WATERSHED AGNPS MODELING PROJECT FINAL REPORT

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Upper Auglaize Watershed agricultural non-point source modeling project was an interagency effort to use a Geographic Information System (GIS)-based modeling approach for assessing and reducing pollution from agricultural runoff and other non-point sources. This project applied the U.S. Departm...

  11. Community knowledge, attitudes and practices on schistosomiasis in western Kenya--the SCORE Project.

    PubMed

    Musuva, Rosemary M; Awiti, Alphonce; Omedo, Martin; Ogutu, Michael; Secor, W Evan; Montgomery, Susan P; Alaii, Jane; Mwinzi, Pauline N M

    2014-04-01

    In an effort to improve intervention strategies, community knowledge, attitudes, and practices on schistosomiasis were evaluated using focus group discussions involving 237 participants, in eight Schistosoma mansoni high prevalence districts in rural Nyanza Province, Kenya. The majority of participants reported having heard about schistosomiasis through schools, posters, radio announcements, and community gatherings. Participants had a variety of beliefs about contracting schistosomiasis, including associating it with dirty drinking water and uncooked or contaminated food. Avenues for seeking treatment included health centers, spiritual intervention, herbal treatments, and medicine shops, with health centers receiving the most mention. Barriers to schistosomiasis control included attitudes of community members toward the infection, especially misconceptions that lead to stigma and the perception that diagnosis and treatment are expensive. Schools were the most common avenue for receiving information, suggesting that the existing education infrastructure can be used for health education and improved sensitization about schistosomiasis control programs. PMID:24534810

  12. Integrated Medical Model Project - Overview and Summary of Historical Application

    NASA Technical Reports Server (NTRS)

    Myers, J.; Boley, L.; Butler, D.; Foy, M.; Goodenow, D.; Griffin, D.; Keenan, A.; Kerstman, E.; Melton, S.; McGuire, K.; Saile, L.; Shah, R.; Garcia, Y.; Sirmons, B.; Walton, M.

    2015-01-01

    Introduction: The Integrated Medical Model (IMM) Project represents one aspect of NASA's Human Research Program (HRP) to quantitatively assess medical risks to astronauts for existing operational missions as well as missions associated with future exploration and commercial space flight ventures. The IMM takes a probabilistic approach to assessing the likelihood and specific outcomes of one hundred medical conditions within the envelope of accepted space flight standards of care over a selectable range of mission capabilities. A specially developed Integrated Medical Evidence Database (iMED) maintains evidence-based, organizational knowledge across a variety of data sources. Since becoming operational in 2011, version 3.0 of the IMM, the supporting iMED, and the expertise of the IMM project team have contributed to a wide range of decision and informational processes for the space medical and human research community. This presentation provides an overview of the IMM conceptual architecture and range of application through examples of actual space flight community questions posed to the IMM project. Methods: Figure 1 [see document] illustrates the IMM modeling system and scenario process. As illustrated, the IMM computational architecture is based on Probabilistic Risk Assessment techniques. Nineteen assumptions and limitations define the IMM application domain. Scenario definitions include crew medical attributes and mission specific details. The IMM forecasts probabilities of loss of crew life (LOCL), evacuation (EVAC), quality time lost during the mission, number of medical resources utilized and the number and type of medical events by combining scenario information with in-flight, analog, and terrestrial medical information stored in the iMED. In addition, the metrics provide the integrated information necessary to estimate optimized in-flight medical kit contents under constraints of mass and volume or acceptable level of mission risk. Results and Conclusions: Historically, IMM simulations support Science and Technology planning, Exploration mission planning, and ISS program operations by supplying simulation support, iMED data information, and subject matter expertise to Crew Health and Safety and the HRP. Upcoming release of IMM version 4.0 seeks to provide enhanced functionality to increase the quality of risk decisions made using the IMM through a more accurate representation of the real world system.

  13. The reciprocal relationship between compounding awareness and vocabulary knowledge in Chinese: a latent growth model study.

    PubMed

    Cheng, Yahua; Li, Liping; Wu, Xinchun

    2015-01-01

    The aim of this study is to examine the developmental relationship between compounding awareness and vocabulary knowledge from grades 1 to 2 in Chinese children. In this study, 149 Chinese children were tested on compounding awareness and vocabulary knowledge from Time 1 to Time 4, with non-verbal IQ, working memory, phonological awareness, orthographical awareness, and rapid automatized naming at Time 1 as control variables. Latent growth modeling was conducted to analyze the data. Univariate models separately calculated children's initial levels and growth rates in compounding awareness and vocabulary knowledge. Bivariate model was used to examine the direction of the developmental relationships between the two variables with other cognitive and linguistic variables and the autoregression controlled. The results demonstrated that the initial level of compounding awareness predicted the growth rate of vocabulary knowledge, and the reverse relation was also found, after controlling for other cognitive and linguistic variables and the autoregression. The results suggested a reciprocal developmental relationship between children's compounding awareness and vocabulary knowledge for Chinese children, a finding that informs current models of the relationship between morphological awareness and vocabulary knowledge. PMID:25926807

  14. Knowledge | Replication Knowledg owledge | Replication Knowledge | R

    E-print Network

    Shull, Kenneth R.

    Knowledge | Replication Knowledg owledge | Replication Knowledge | R wledge | ReplicationKnowledge | Re dge | ReplicationKnowledge | Repl e | ReplicationKnowledge | Replica | ReplicationKnowledge | Replicatio Replication Knowledge | Replication ication Knowledge | Replication ationKnowledge | Replication

  15. A model to capture and manage tacit knowledge using a multiagent system

    NASA Astrophysics Data System (ADS)

    Paolino, Lilyam; Paggi, Horacio; Alonso, Fernando; López, Genoveva

    2014-10-01

    This article presents a model to capture and register business tacit knowledge belonging to different sources, using an expert multiagent system which enables the entry of incidences and captures the tacit knowledge which could fix them. This knowledge and their sources are evaluated through the application of trustworthy algorithms that lead to the registration of the data base and the best of each of them. Through its intelligent software agents, this system interacts with the administrator, users, with the knowledge sources and with all the practice communities which might exist in the business world. The sources as well as the knowledge are constantly evaluated, before being registered and also after that, in order to decide the staying or modification of its original weighting. If there is the possibility of better, new knowledge are registered through the old ones. This is also part of an investigation being carried out which refers to knowledge management methodologies in order to manage tacit business knowledge so as to make the business competitiveness easier and leading to innovation learning.

  16. NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 31: The information-seeking behavior of engineers

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Bishop, Ann P.; Barclay, Rebecca O.; Kennedy, John M.

    1993-01-01

    Engineers are an extraordinarily diverse group of professionals, but an attribute common to all engineers is their use of information. Engineering can be conceptualized as an information processing system that must deal with work-related uncertainty through patterns of technical communications. Throughout the process, data, information, and tacit knowledge are being acquired, produced, transferred, and utilized. While acknowledging that other models exist, we have chosen to view the information-seeking behavior of engineers within a conceptual framework of the engineer as an information processor. This article uses the chosen framework to discuss information-seeking behavior of engineers, reviewing selected literature and empirical studies from library and information science, management, communications, and sociology. The article concludes by proposing a research agenda designed to extend our current, limited knowledge of the way engineers process information.

  17. PRELIMINARY VERSION PRELIMINARY VERSION -PRELIMINA Modeling Tutoring Knowledge

    E-print Network

    Paris-Sud XI, Université de

    , such as integrating the emotional states of the learner. Perspectives of opening the Tutoring Model and of equipping it with social intelligence are also presented. 1 Introduction In the field of Artificial Intelligence AIED principles and techniques. The "I" in ITS represents "intelligence" (AI techniques), the "T

  18. Validation of the Repertory Grid for Use in Modeling Knowledge.

    ERIC Educational Resources Information Center

    Latta, Gail F.; Swigger, Keith

    1992-01-01

    Discusses the application of theories of cognitive modeling to information systems design and describes research that investigated the validity of the repertory grid for incorporation into intelligent front-end interfaces for information storage and retrieval systems. Personal construct theory is discussed and future research is suggested. (67…

  19. The role of knowledge in discourse comprehension: A constructionntegration model

    Microsoft Academic Search

    Walter Kintsch

    1988-01-01

    In contrast to expectation-based, predictive views of discourse comprehension, a model is developed in which the initial processing is strictly bottom-up. Word meanings are activated, propositions are formed, and inferences and elaborations are produced without regard to the discourse context. However, a network of interrelated items is created in this manner, which can be integrated into a coherent structure through

  20. Nonlinear Model Based Control with prior knowledge Based Learning

    Microsoft Academic Search

    S. R. Wagh; A. K. Kamath; N. M. Singh

    2009-01-01

    The ever increasing demand and restriction on having additional new infrastructure, forces the existing power system network to work at its maximum possible limits. In order to increase the power transfer through given infrastructure, the use of FACTS devices is common and very well known. Here a model predictive control based TCSC controller is used for improving the transient stability

  1. CONSTRUCTING COST AND PROFITABILITY KNOWLEDGE WITH MODEL BASED LEARNING

    Microsoft Academic Search

    Miia Pirttilä; Timo Kärri; Kristiina Karjalainen

    The aim of the case study is to show how a model based learning approach can be used when a new course of management accounting is implemented in Lappeenranta University of Technology during autumn 2005. The target group of the course was students from the international master's programme in chemical and process engineering and they had no previous studies in

  2. Participation in a Multi-institutional Curriculum Development Project Changed Science Faculty Knowledge and Beliefs About Teaching Science

    NASA Astrophysics Data System (ADS)

    Donovan, Deborah A.; Borda, Emily J.; Hanley, Daniel M.; Landel, Carolyn C.

    2015-03-01

    Despite significant pressure to reform science teaching and learning in K12 schools, and a concurrent call to reform undergraduate courses, higher education science content courses have remained relatively static. Higher education science faculty have few opportunities to explore research on how people learn, examine state or national science teaching standards for K12 schools, or learn and practice research-based instructional strategies. The contrast between what is expected of future and practicing teachers in their K12 classrooms and what they experience in content and instruction in typical college or university science courses can be striking. This paper describes a multi-institutional collaboration among content-area science faculty and K12 teachers to develop undergraduate content courses for future elementary teachers in life and Earth science. Using data from the project evaluation, we report evidence of change in faculty knowledge and beliefs about science teaching and learning, and how that this translated into pedagogical practice in their courses.

  3. NTHMP Project Narrative Project Name/Title: Modeling Tsunami Inundation and Assessing Tsunami Hazards

    E-print Network

    Kirby, James T.

    1 NTHMP Project Narrative Project Name/Title: Modeling Tsunami Inundation and Assessing Tsunami In contrast to the long history of tsunami hazard assessment on the US West coast and Hawaii, tsunami hazard tsunami records and the uncertainty regarding the magnitude and return periods of potential large

  4. The Lunar Phases Project: A Mental Model-Based Observational Project for Undergraduate Nonscience Majors

    ERIC Educational Resources Information Center

    Meyer, Angela Osterman; Mon, Manuel J.; Hibbard, Susan T.

    2011-01-01

    We present our Lunar Phases Project, an ongoing effort utilizing students' actual observations within a mental model building framework to improve student understanding of the causes and process of the lunar phases. We implement this project with a sample of undergraduate, nonscience major students enrolled in a midsized public university located…

  5. Animal models of osteomyelitis. Knowledge, hypothesis, and speculation.

    PubMed

    Rissing, J P

    1990-09-01

    Each animal model has provided insights. Particularly important was the considerable resistance of bone to infection without manipulation (no morrhuate, fracture, rod, wax, or prosthesis). Such perturbations allow bone infection with much smaller inocula. Typical inocula decreases are 1000 to 10,000 fold. Staphylococci may have a selective advantage in bone because of specialized or tropic binding, perhaps to cartilage or collagen. Osteoclast-induced resorption of hydroxyapatite might explain the distribution of some osteomyelitis. Increased osteoclast activity could link the susceptible metaphyseal regions, the repetitively traumatized diabetic foot, a history of blunt bone trauma, fracture, and perhaps even nearby soft tissue infection. Diagnosis remains difficult; gallium-67 and indium111 labeled WBC probably deserve additional investigation. Therapeutic failures in the rabbit and rat models mirror clinical experience. Clindamycin, rifampin, and quinolones are promising. Neither systemic nor local antimicrobial prophylaxis is well studied yet. PMID:2212595

  6. Intelligent architecture: user interface design to elicit knowledge models

    Microsoft Academic Search

    Alan Penn; R Conroy-Dalton; Nick Dalton; Laura Dekker; Chiron Mottram; A. Turner

    1995-01-01

    Much of the difficulty in architectural design is in integrating and making explicit theknowledge of the many converging disciplines (engineering, sociology, ergonomicsand psychology, to name a few), the building requirements from many viewpoints,and to model the complex system interactions. The many r?les of the architect simplycompound this. This paper describes a system currently under development?a 3Ddesign medium and intelligent analysis

  7. Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge

    Microsoft Academic Search

    Ruxandra Lupas Scheiterer; Dragan Obradovic; Volker Tresp

    2007-01-01

    This paper addresses issues in constructing a Bayesian network domain model for diagnostic purposes from expert knowledge.\\u000a Diagnostic systems rely on suitable models of the domain, which describe causal relationships between problem classes and\\u000a observed symptoms. Typically these models are obtained by analyzing process data or by interviewing domain experts. The domain\\u000a models are usually built in the forward direction,

  8. A tutorial on ProSim: a knowledge-based simulation model design tool

    Microsoft Academic Search

    M. Lingineni; B. Caraway; P. C. Benjamin; R. J. Mayer

    1995-01-01

    The paper introduces ProSim, a knowledge based simulation design tool that automatically generates simulation models from process models. Domain experts who are familiar with the various aspects of the system may be interviewed and process models can be developed based on the evidence collected using ProSim. The built-in simulation design support environment of ProSim enables building simulation models automatically from

  9. A tutorial on PROSIM: a knowledge-based simulation model design tool

    Microsoft Academic Search

    Madhavi Lingineni; Bruce Caraway; Perakath C. Benjamin; Richard J. Mayer

    1995-01-01

    The paper introduces ProSim, a knowledge based simulation design tool that automatically generates simulation models from process models. Domain experts who are familiar with the various aspects of the system may be interviewed and process models can be developed based on the evidence collected using ProSim. The built-in simulation design support environment of ProSim enables building simulation models automatically from

  10. Tutorial on ProSim: a knowledge-based simulation model design tool

    Microsoft Academic Search

    Madhavi Lingineni; Bruce Caraway; Perakath C. Benjamin; Richard J. Mayer

    1996-01-01

    This paper introduces ProSim, a knowledge-based simulation design tool that automatically generates simulation models from process models. Domain experts who are familiar with the various aspects of the system may be interviewed and process models can be developed based on the evidence collected using ProSim. The built-in simulation design support environment of ProSim enables building simulation models automatically from process

  11. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    Microsoft Academic Search

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-01-01

    NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental

  12. Using a human cognition model in the creation of collaborative knowledge visualizations

    NASA Astrophysics Data System (ADS)

    Green, Tera Marie; Ribarsky, William

    2008-04-01

    This paper explores the basis and usefulness of a predictive model for the architecture of data and knowledge visualizations based on human higher-cognition, including human tendencies in reasoning heuristics and cognitive biases. The strengths and weakness of would-be human and computer collaborators are explored, and a model framework is outlined and discussed.

  13. Authoring Knowledge-Based Tutors: Tools for Content, Instructional Strategy, Student Model, and Interface Design.

    ERIC Educational Resources Information Center

    Murray, Tom

    1998-01-01

    Describes tools for authoring all aspects of a knowledge-based tutor system: domain model, teaching strategies, student model, and learning environment. Discusses a number of design issues and design tradeoffs that are involved in building intelligent tutoring systems (ITS). (Author/CCM)

  14. A Short Commentary on "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"

    ERIC Educational Resources Information Center

    Gentry, Marcia

    2010-01-01

    This article presents the author's brief comment on Hisham B. Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" Ghassib (2010) takes the reader through an interesting history of human innovation and processes and situates his theory within a productivist model. The deliberate attention to…

  15. AN INDUCTION MODEL OF INFORMATION TECHNOLOGY ENABLED KNOWLEDGE MANAGEMENT: A CASE STUDY

    Microsoft Academic Search

    SHOUHONG WANG; HAI WANG

    Knowledge management (KM) has become an important discipline in the field of management. Yet, few induction models of IT enabled KM are available for research and teaching in the literature. This paper presents the development of an induction model based on five real-life cases of successful KM. Based on a so-called Joint Qualitative Analysis, this case study has identified several

  16. Advancing Understanding Using Nonaka's Model of Knowledge Creation and Problem-Based Learning

    ERIC Educational Resources Information Center

    Tee, Meng Yew; Lee, Shuh Shing

    2013-01-01

    Nonaka's model of knowledge creation can provide guidance for designing learning environments and activities. However, Bereiter is critical of the model because it does not address whether understanding is deepened in the process of socialization, externalization, combination and internalization. To address this issue of understanding, this…

  17. Tailored-to-fit Bayesian Network Modeling of Expert Diagnostic Knowledge

    E-print Network

    Tresp, Volker

    Tailored-to-fit Bayesian Network Modeling of Expert Diagnostic Knowledge Ruxandra Lupas Scheiterer Abstract. This paper addresses issues in constructing a Bayesian net- work domain model for diagnostic, and this is still their most common use. Bayesian networks are well suited for the diagnostic examination of domains

  18. Fuzzy knowledge-based model for prediction of traction force of an electric golf car

    Microsoft Academic Search

    Ataur Rahman; Altab Hossain; Mabubur Rashid

    The methods of artificial intelligence are widely used in soft computing technology due to its remarkable prediction accuracy. However, artificial intelligent models are trained using large amount of data obtained from the operation of the off-road vehicle. In contrast, fuzzy knowledge-based models are developed by using the experience of the traction in order to maintain the vehicle traction as required

  19. Silencing the center: local knowledge and imported model in learning disabilities

    Microsoft Academic Search

    Maysaa Bazna

    2009-01-01

    This qualitative study investigates the interaction between local and imported knowledges in a specific case of transnational importation; the whole?sale importation of the American medical learning disabilities (LDs) model in Kuwait. A discourse analysis of the narratives of local educators at the only school for LDs in the country reveals a belief in the value of the imported model over

  20. Knowledge brokering: An innovative model for supporting evidence-informed practice in respiratory care

    PubMed Central

    Hoens, Alison M; Reid, W Darlene; Camp, Pat G

    2013-01-01

    The process of adopting research findings in the clinical setting is challenging, regardless of the area of practice. One strategy to facilitate this process is the use of knowledge brokering. Knowledge brokers (KBs) are individuals who work to bridge the gap between researchers and knowledge users. In the health care setting, KBs work closely with clinicians to facilitate enhanced uptake of research findings into clinical practice. They also work with researchers to ensure research findings are translatable and meaningful to clinical practice. The present article discusses a KB’s role in a respiratory care setting. Working closely with both researchers and clinicians, the KB has led teams in the process of conceptualizing, developing, testing, disseminating and evaluating several projects related to respiratory care, including projects related to mobility in critical care settings and acute exacerbations of chronic obstructive pulmonary disease; inspiratory muscle training; and the use of incentive spirometry in postsurgical populations. The KB role has provided an important communication link between researcher and knowledge user that has facilitated evidence-informed practice to improve patient care. PMID:23936885

  1. Different Manhattan project: automatic statistical model generation

    Microsoft Academic Search

    Chee Keng Yap; Henning Biermann; Aaron Hertzmann; Chen Li; Jon Meyer; Hsing-Kuo Pao; Salvatore Paxia

    2002-01-01

    We address the automatic generation of large geometric models. This is important in visualization for several reasons. First, many applications need access to large but interesting data models. Second, we often need such data sets with particular characteristics (e.g., urban models, park and recreation landscape). Thus we need the ability to generate models with different parameters. We propose a new

  2. Genome Modeling System: A Knowledge Management Platform for Genomics

    PubMed Central

    Griffith, Malachi; Griffith, Obi L.; Smith, Scott M.; Ramu, Avinash; Callaway, Matthew B.; Brummett, Anthony M.; Kiwala, Michael J.; Coffman, Adam C.; Regier, Allison A.; Oberkfell, Ben J.; Sanderson, Gabriel E.; Mooney, Thomas P.; Nutter, Nathaniel G.; Belter, Edward A.; Du, Feiyu; Long, Robert L.; Abbott, Travis E.; Ferguson, Ian T.; Morton, David L.; Burnett, Mark M.; Weible, James V.; Peck, Joshua B.; Dukes, Adam; McMichael, Joshua F.; Lolofie, Justin T.; Derickson, Brian R.; Hundal, Jasreet; Skidmore, Zachary L.; Ainscough, Benjamin J.; Dees, Nathan D.; Schierding, William S.; Kandoth, Cyriac; Kim, Kyung H.; Lu, Charles; Harris, Christopher C.; Maher, Nicole; Maher, Christopher A.; Magrini, Vincent J.; Abbott, Benjamin S.; Chen, Ken; Clark, Eric; Das, Indraniel; Fan, Xian; Hawkins, Amy E.; Hepler, Todd G.; Wylie, Todd N.; Leonard, Shawn M.; Schroeder, William E.; Shi, Xiaoqi; Carmichael, Lynn K.; Weil, Matthew R.; Wohlstadter, Richard W.; Stiehr, Gary; McLellan, Michael D.; Pohl, Craig S.; Miller, Christopher A.; Koboldt, Daniel C.; Walker, Jason R.; Eldred, James M.; Larson, David E.; Dooling, David J.; Ding, Li; Mardis, Elaine R.; Wilson, Richard K.

    2015-01-01

    In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395) and matched lymphoblastoid line (HCC1395BL). These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms. PMID:26158448

  3. NASA/DoD aerospace knowledge diffusion research project. VIII - The role of the information intermediary in the diffusion of aerospace knowledge

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

    1990-01-01

    The U.S. aerospace industry is experiencing profound changes created by a combination of domestic actions and circumstances such as airline deregulation. Other changes result from external trends such as emerging foreign competition. These circumstances intensify the need to understand the production, transfer, and utilization of knowledge as a precursor to the rapid diffusion of technology. This article presents a conceptual framework for understanding the diffusion of aerospace knowledge. The framework focuses on the information channels and members of the social system associated with the aerospace knowledge diffusion process, placing particular emphasis on aerospace librarians as information intermediaries.

  4. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 8: The role of the information intermediary in the diffusion of aerospace knowledge

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

    1990-01-01

    The United States aerospace industry is experiencing profound changes created by a combination of domestic actions and circumstances such as airline deregulation. Other changes result from external trends such as emerging foreign competition. These circumstances intensify the need to understand the production, transfer, and utilization of knowledge as a precursor to the rapid diffusion of technology. Presented here is a conceptual framework for understanding the diffusion of technology. A conceptual framework is given for understanding the diffusion of aerospace knowledge. The framework focuses on the information channels and members of the social system associated with the aerospace knowledge diffusion process, placing particular emphasis on aerospace librarians as information intermediaries.

  5. Low Frequency Variants, Collapsed Based on Biological Knowledge, Uncover Complexity of Population Stratification in 1000 Genomes Project Data

    PubMed Central

    Moore, Carrie B.; Wallace, John R.; Wolfe, Daniel J.; Frase, Alex T.; Pendergrass, Sarah A.; Weiss, Kenneth M.; Ritchie, Marylyn D.

    2013-01-01

    Analyses investigating low frequency variants have the potential for explaining additional genetic heritability of many complex human traits. However, the natural frequencies of rare variation between human populations strongly confound genetic analyses. We have applied a novel collapsing method to identify biological features with low frequency variant burden differences in thirteen populations sequenced by the 1000 Genomes Project. Our flexible collapsing tool utilizes expert biological knowledge from multiple publicly available database sources to direct feature selection. Variants were collapsed according to genetically driven features, such as evolutionary conserved regions, regulatory regions genes, and pathways. We have conducted an extensive comparison of low frequency variant burden differences (MAF<0.03) between populations from 1000 Genomes Project Phase I data. We found that on average 26.87% of gene bins, 35.47% of intergenic bins, 42.85% of pathway bins, 14.86% of ORegAnno regulatory bins, and 5.97% of evolutionary conserved regions show statistically significant differences in low frequency variant burden across populations from the 1000 Genomes Project. The proportion of bins with significant differences in low frequency burden depends on the ancestral similarity of the two populations compared and types of features tested. Even closely related populations had notable differences in low frequency burden, but fewer differences than populations from different continents. Furthermore, conserved or functionally relevant regions had fewer significant differences in low frequency burden than regions under less evolutionary constraint. This degree of low frequency variant differentiation across diverse populations and feature elements highlights the critical importance of considering population stratification in the new era of DNA sequencing and low frequency variant genomic analyses. PMID:24385916

  6. A New Algorithm for Stand Table Projection Models

    E-print Network

    Cao, Quang V.

    A New Algorithm for Stand Table Projection Models Quang V. Cao and V. Clark Baldwin, Jr. ABSTRACT. The constrained least squares method is proposed as an algorithm for projecting stand tables through time methods. This new algorithm can be employed in cases where diameter data do not necessarily follow

  7. A Satisficing Model for Project Selection Nicholas G. Hall ?† Zhuoyu ...

    E-print Network

    2009-12-29

    Dec 29, 2009 ... Department of Management Sciences, The Ohio State University ... in research and development (e.g., for new products), in prototype testing (e.g., for auto- .... Our computational results show that the satisficing model identifies high quality project ...... For each product, there are two available projects,.

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 59: Japanese Technological Innovation. Implications for Large Commercial Aircraft and Knowledge Diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kotler, Mindy L.

    1997-01-01

    This paper explores three factors-public policy, the Japanese (national) innovation system, and knowledge-that influence technological innovation in Japan. To establish a context for the paper, we examine Japanese culture and the U.S. and Japanese patent systems in the background section. A brief history of the Japanese aircraft industry as a source of knowledge and technology for other industries is presented. Japanese and U.S. alliances and linkages in three sectors-biotechnology, semiconductors, and large commercial aircraft (LCA)-and the importation, absorption, and diffusion of knowledge and technology are examined next. The paper closes with implications for diffusing knowledge and technology, U.S. public policy, and LCA.

  9. Knowledge based programming at KSC

    NASA Technical Reports Server (NTRS)

    Tulley, J. H., Jr.; Delaune, C. I.

    1986-01-01

    Various KSC knowledge-based systems projects are discussed. The objectives of the knowledge-based automatic test equipment and Shuttle connector analysis network projects are described. It is observed that knowledge-based programs must handle factual and expert knowledge; the characteristics of these two types of knowledge are examined. Applications for the knowledge-based programming technique are considered.

  10. Demographic models and IPCC climate projections predict the decline of an emperor penguin population

    PubMed Central

    Jenouvrier, Stéphanie; Caswell, Hal; Barbraud, Christophe; Holland, Marika; Strœve, Julienne; Weimerskirch, Henri

    2009-01-01

    Studies have reported important effects of recent climate change on Antarctic species, but there has been to our knowledge no attempt to explicitly link those results to forecasted population responses to climate change. Antarctic sea ice extent (SIE) is projected to shrink as concentrations of atmospheric greenhouse gases (GHGs) increase, and emperor penguins (Aptenodytes forsteri) are extremely sensitive to these changes because they use sea ice as a breeding, foraging and molting habitat. We project emperor penguin population responses to future sea ice changes, using a stochastic population model that combines a unique long-term demographic dataset (1962–2005) from a colony in Terre Adélie, Antarctica and projections of SIE from General Circulation Models (GCM) of Earth's climate included in the most recent Intergovernmental Panel on Climate Change (IPCC) assessment report. We show that the increased frequency of warm events associated with projected decreases in SIE will reduce the population viability. The probability of quasi-extinction (a decline of 95% or more) is at least 36% by 2100. The median population size is projected to decline from ?6,000 to ?400 breeding pairs over this period. To avoid extinction, emperor penguins will have to adapt, migrate or change the timing of their growth stages. However, given the future projected increases in GHGs and its effect on Antarctic climate, evolution or migration seem unlikely for such long lived species at the remote southern end of the Earth. PMID:19171908

  11. Synthesis of Knowledge and Practice in Educational Management and Leadership. Volumes 1 and 2. Project No. ED 73-241.

    ERIC Educational Resources Information Center

    Lavin, Richard J.; Sanders, Jean E.

    This is a systematic effort to review the knowledge and practice in management programs. In synthesizing the knowledge base, the study establishes and emphasizes the great need to link the knowledge banks of the producers' world with the users' stations. Several findings support this conclusion: (1) a wealth of knowledge exists; (2) although there…

  12. Different Manhattan project: automatic statistical model generation

    NASA Astrophysics Data System (ADS)

    Yap, Chee Keng; Biermann, Henning; Hertzmann, Aaron; Li, Chen; Meyer, Jon; Pao, Hsing-Kuo; Paxia, Salvatore

    2002-03-01

    We address the automatic generation of large geometric models. This is important in visualization for several reasons. First, many applications need access to large but interesting data models. Second, we often need such data sets with particular characteristics (e.g., urban models, park and recreation landscape). Thus we need the ability to generate models with different parameters. We propose a new approach for generating such models. It is based on a top-down propagation of statistical parameters. We illustrate the method in the generation of a statistical model of Manhattan. But the method is generally applicable in the generation of models of large geographical regions. Our work is related to the literature on generating complex natural scenes (smoke, forests, etc) based on procedural descriptions. The difference in our approach stems from three characteristics: modeling with statistical parameters, integration of ground truth (actual map data), and a library-based approach for texture mapping.

  13. A constrained variable projection reconstruction method for photoacoustic computed tomography without accurate knowledge of transducer responses

    E-print Network

    Sheng, Qiwei; Matthews, Thomas P; Xia, Jun; Zhu, Liren; Wang, Lihong V; Anastasio, Mark A

    2015-01-01

    Photoacoustic computed tomography (PACT) is an emerging computed imaging modality that exploits optical contrast and ultrasonic detection principles to form images of the absorbed optical energy density within tissue. When the imaging system employs conventional piezoelectric ultrasonic transducers, the ideal photoacoustic (PA) signals are degraded by the transducers' acousto-electric impulse responses (EIRs) during the measurement process. If unaccounted for, this can degrade the accuracy of the reconstructed image. In principle, the effect of the EIRs on the measured PA signals can be ameliorated via deconvolution; images can be reconstructed subsequently by application of a reconstruction method that assumes an idealized EIR. Alternatively, the effect of the EIR can be incorporated into an imaging model and implicitly compensated for during reconstruction. In either case, the efficacy of the correction can be limited by errors in the assumed EIRs. In this work, a joint optimization approach to PACT image r...

  14. Project Report (TD 695) Understanding, Analysing and Modelling Watershed

    E-print Network

    Sohoni, Milind

    Project Report (TD 695) On Understanding, Analysing and Modelling Watershed Interventions Submitted This is to certify that the seminar report titled "Understanding, Analysing and Modelling Watershed Interventions and Modelling Watershed Interventions" submitted by me, for the partial fulfilment of the degree of Master

  15. Effects of prior knowledge on the effectiveness of a hybrid user model for information retrieval

    NASA Astrophysics Data System (ADS)

    Nguyen, Hien; Santos, Eugene, Jr.

    2007-04-01

    To quickly find relevant information from huge amounts of data is a very challenging issue for intelligence analysts. Most employ their prior domain knowledge to improve their process of finding relevant information. In this paper, we explore the influences of a user's prior domain knowledge on the effectiveness of an information seeking task by using seed user models in an enhanced information retrieval system. In our approach, a user model is created to capture a user's intent in an information seeking task. The captured user intent is then integrated with the attributes describing an information retrieval system in a decision theoretic framework. Our test bed consists of two benchmark collections from the information retrieval community: MEDLINE and CACM. We divide each query set from a collection into two subsets: training set and testing set. We use three different approaches to selecting the queries for the training set: (1) the queries generating large domain knowledge, (2) the queries relating to many other queries, and (3) a mixture of (1) and (2). Each seed user model is created by running our enhanced information retrieval system through such a training set. We assess the effects of having more domain knowledge, or more relevant domain knowledge, or a mixture of both on the effectiveness of a user in an information seeking task.

  16. Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects

    SciTech Connect

    White, Signe K.; Gosink, Luke J.; Sivaramakrishnan, Chandrika; Black, Gary D.; Purohit, Sumit; Bacon, Diana H.; Hou, Zhangshuan; Lin, Guang; Gorton, Ian; Bonneville, Alain

    2013-08-06

    Numerical simulation is a standard practice used to support designing, operating, and monitoring CO2 injection projects. Although a variety of computational tools have been developed that support the numerical simulation process, many are single-purpose or platform specific and have a prescribed workflow that may or may not be suitable for a particular project. We are developing an open-source, flexible framework named Velo that provides a knowledge management infrastructure and tools to support modeling and simulation for various types of projects in a number of scientific domains. The Geologic Sequestration Software Suite (GS3) is a version of this framework with features and tools specifically tailored for geologic sequestration studies. Because of its general nature, GS3 is being employed in a variety of ways on projects with differing goals. GS3 is being used to support the Sim-SEQ international model comparison study, by providing a collaborative framework for the modeling teams and providing tools for model comparison. Another customized deployment of GS3 has been made to support the permit application process. In this case, GS3 is being used to manage data in support of conceptual model development and provide documentation and provenance for numerical simulations. An additional customized deployment of GS3 is being created for use by the United States Environmental Protection Agency (US-EPA) to aid in the CO2 injection permit application review process in one of its regions. These use cases demonstrate GS3’s flexibility, utility, and broad applicability

  17. Leaf Area Index in Earth System Models: evaluation and projections

    NASA Astrophysics Data System (ADS)

    Mahowald, N.; Lo, F.; Zheng, Y.; Harrison, L.; Funk, C.; Lombardozzi, D.

    2015-04-01

    The amount of leaves in a plant canopy (measured as leaf area index, LAI) modulates key land-atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2), and other trace gases, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. The latest generation of Earth system models (ESMs) simulate LAI, as well as provide projections of LAI in the future to improve simulations of biophysical and biogeochemical processes, and for use in climate impact studies. Here we use satellite measurements of LAI to answer the following questions: (1) are the models accurately simulating the mean LAI spatial distribution? (2) Are the models accurately simulating the seasonal cycle in LAI? (3) Are the models correctly simulating the processes driving interannual variability in the current climate? And finally based on this analysis, (4) can we reduce the uncertainty in future projections of LAI by using each model's skill in the current climate? Overall, models are able to capture some of the main characteristics of the LAI mean and seasonal cycle, but all of the models can be improved in one or more regions. Comparison of the modeled and observed interannual variability in the current climate suggested that in high latitudes the models may overpredict increases in LAI based on warming temperature, while in the tropics the models may overpredict the negative impacts of warming temperature on LAI. We expect, however, larger uncertainties in observational estimates of interannual LAI compared to estimates of seasonal or mean LAI. Future projections of LAI by the ESMs are largely optimistic, with only limited regions seeing reductions in LAI. Future projections of LAI in the models are quite different, and are sensitive to climate model projections of precipitation. They also strongly depend on the amount of carbon dioxide fertilization in high latitudes. Based on comparisons between model simulated LAI and observed LAI in the current climate, we can reduce the spread in model future projections, especially in the tropics, by taking into account model skill. In the tropics the models which perform the best in the current climate tend to project a more modest increase in LAI in the future compared to the average of all models. These top performing models also project an increase in the frequency of drought in some regions of the tropics, with droughts being defined as minus one standardized deviation events.

  18. Final Project Report Load Modeling Transmission Research

    SciTech Connect

    Lesieutre, Bernard [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Bravo, Richard [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yinger, Robert [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chassin, Dave [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Huang, Henry [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lu, Ning [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hiskens, Ian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Venkataramanan, Giri [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2012-03-31

    The research presented in this report primarily focuses on improving power system load models to better represent their impact on system behavior. The previous standard load model fails to capture the delayed voltage recovery events that are observed in the Southwest and elsewhere. These events are attributed to stalled air conditioner units after a fault. To gain a better understanding of their role in these events and to guide modeling efforts, typical air conditioner units were testing in laboratories. Using data obtained from these extensive tests, new load models were developed to match air conditioner behavior. An air conditioner model is incorporated in the new WECC composite load model. These models are used in dynamic studies of the West and can impact power transfer limits for California. Unit-level and systemlevel solutions are proposed as potential solutions to the delayed voltage recovery problem.

  19. The Quebec Rural Emergency Department Project: A Cross-Sectional Study of a Potential Two-Pronged Strategy in the Knowledge Transfer Process

    PubMed Central

    Poitras, Julien; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Tanguay, Alain; Simard-Racine, Geneviève

    2015-01-01

    Introduction Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge transfer strategies designed to generate interest and engagement from potential knowledge users. The objective of this paper was to review: 1) a combined project launch and media press release strategy, and 2) a pre-study survey designed to survey potential knowledge users’ opinions on the proposed study variables. Materials and Methods We evaluated the impact of the project launch (presentation at two conferences hosted by key stakeholders) and media press release via a survey of participants/stakeholders and by calculating the number of media interview requests and reports generated. We used a pre-study survey to collect potential key stakeholder’ opinions on the study variables. Results Twenty-one of Quebec’s 26 rural EDs participated in the pre-study survey (81% participation rate). The press release about the study generated 51 press articles and 20 media request for interviews, and contributed to public awareness of a major rural research initiative. In the pre-study survey, thirteen participants (46%) mentioned prior knowledge of the research project. Results from the pre-study survey revealed that all of the potential study variables were considered to be relevant for inclusion in the research project. Respondents also proposed additional variables of interest, including factors promoting retention of human resources. Conclusions The present study demonstrated the potential utility of a two-pronged knowledge transfer strategy, including a combined formal launch and press release, and a pre-study survey designed to ensure that the included variables were of interest to participants and stakeholders. PMID:25849328

  20. Knowledge discovery in clinical databases based on variable precision rough set model.

    PubMed Central

    Tsumoto, S.; Ziarko, W.; Shan, N.; Tanaka, H.

    1995-01-01

    Since a large amount of clinical data are being stored electronically, discovery of knowledge from such clinical databases is one of the important growing research area in medical informatics. For this purpose, we develop KDD-R (a system for Knowledge Discovery in Databases using Rough sets), an experimental system for knowledge discovery and machine learning research using variable precision rough sets (VPRS) model, which is an extension of original rough set model. This system works in the following steps. First, it preprocesses databases and translates continuous data into discretized ones. Second, KDD-R checks dependencies between attributes and reduces spurious data. Third, the system computes rules from reduced databases. Finally, fourth, it evaluates decision making. For evaluation, this system is applied to a clinical database of meningoencephalitis, whose computational results show that several new findings are obtained. PMID:8563283

  1. Pataha [Creek] Model Watershed : 1997 Habitat Projects : Annual Progress Report.

    SciTech Connect

    Bartels, Duane

    1998-10-28

    The projects outlined in detail on the attached project reports are a few of the many projects implemented in the Pataha Creek Model Watershed since it was selected as a model in 1993. Up until this year, demonstration sites using riparian fencing, off site watering facilities, tree and shrub plantings and upland conservation practices were used for information and education and was the main focus of the implementation phase of the watershed plan. These practices are the main focus of the watershed plan to reduce the majority of the sediment entering the stream.

  2. ISI-MIP: The Inter-Sectoral Impact Model Intercomparison Project

    NASA Astrophysics Data System (ADS)

    Huber, V.; Dahlemann, S.; Frieler, K.; Piontek, F.; Schewe, J.; Serdeczny, O.; Warszawski, L.

    2013-12-01

    The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) aims to synthesize the state-of-the-art knowledge of climate change impacts at different levels of global warming. The project's experimental design is formulated to distinguish the uncertainty introduced by the impact models themselves, from the inherent uncertainty in the climate projections and the variety of plausible socio-economic futures. The unique cross-sectoral scope of the project provides the opportunity to study cascading effects of impacts in interacting sectors and to identify regional 'hot spots' where multiple sectors experience extreme impacts. Another emphasis lies on the development of novel metrics to describe societal impacts of a warmer climate. We briefly outline the methodological framework, and then present selected results of the first, fast-tracked phase of ISI-MIP. The fast track brought together 35 global impact models internationally, spanning five sectors across human society and the natural world (agriculture, water, natural ecosystems, health and coastal infrastructure), and using the latest generation of global climate simulations (RCP projections from the CMIP5 archive) and socioeconomic drivers provided within the SSP process. We also introduce the second phase of the project, which will enlarge the scope of ISI-MIP by encompassing further impact sectors (e.g., forestry, fisheries, permafrost) and regional modeling approaches. The focus for the next round of simulations will be the validation and improvement of models based on historical observations and the analysis of variability and extreme events. Last but not least, we discuss the longer-term objective of ISI-MIP to initiate a coordinated, ongoing impact assessment process, driven by the entire impact community and in parallel with well-established climate model intercomparisons (CMIP).

  3. Spatial Modeling of Epidemics Project Summary

    E-print Network

    Varela, Carlos

    that for the given description of the habitat (e.g. size of the site, size of the ecological stencil, states on simulating ecological systems on massively parallel computers. Our long term goal is to investigate formalizations of the probabilistic ecological model, to design software tools for model implementation

  4. Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives

    PubMed Central

    Roth, Dan

    2013-01-01

    Objective This paper presents a coreference resolution system for clinical narratives. Coreference resolution aims at clustering all mentions in a single document to coherent entities. Materials and methods A knowledge-intensive approach for coreference resolution is employed. The domain knowledge used includes several domain-specific lists, a knowledge intensive mention parsing, and task informed discourse model. Mention parsing allows us to abstract over the surface form of the mention and represent each mention using a higher-level representation, which we call the mention's semantic representation (SR). SR reduces the mention to a standard form and hence provides better support for comparing and matching. Existing coreference resolution systems tend to ignore discourse aspects and rely heavily on lexical and structural cues in the text. The authors break from this tradition and present a discourse model for “person” type mentions in clinical narratives, which greatly simplifies the coreference resolution. Results This system was evaluated on four different datasets which were made available in the 2011 i2b2/VA coreference challenge. The unweighted average of F1 scores (over B-cubed, MUC and CEAF) varied from 84.2% to 88.1%. These experiments show that domain knowledge is effective for different mention types for all the datasets. Discussion Error analysis shows that most of the recall errors made by the system can be handled by further addition of domain knowledge. The precision errors, on the other hand, are more subtle and indicate the need to understand the relations in which mentions participate for building a robust coreference system. Conclusion This paper presents an approach that makes an extensive use of domain knowledge to significantly improve coreference resolution. The authors state that their system and the knowledge sources developed will be made publicly available. PMID:22781192

  5. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 67: Maximizing the Results of Federally-Funded Research and Development Through Knowledge Management: A Strategic Imperative for Improving US Competitiveness

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.

    1998-01-01

    Federally-funded research and development (R&D) represents a significant annual investment (approximately $79 billion in fiscal year 1996) on the part of U.S. taxpayers. Based on the results of a 10-year study of knowledge diffusion in U.S. aerospace industry, the authors take the position that U.S. competitiveness will be enhanced if knowledge management strategies, employed within a capability-enhancing U.S. technology policy framework, are applied to diffusing the results of federally-funded R&D. In making their case, the authors stress the importance of knowledge as the source of competitive advantage in today's global economy. Next, they offer a practice-based definition of knowledge management and discuss three current approaches to knowledge management implementation-mechanistic, "the learning organization," and systemic. The authors then examine three weaknesses in existing U.S. public policy and policy implementation-the dominance of knowledge creation, the need for diffusion-oriented technology policy, and the prevalence of a dissemination model- that affect diffusion of the results of federally-funded R&D. To address these shortcomings, they propose the development of a knowledge management framework for diffusing the results of federally-funded R&D. The article closes with a discussion of some issues and challenges associated with implementing a knowledge management framework for diffusing the results of federally-funded R&D.

  6. A comprehensive model for executing knowledge management audits in organizations: a systematic review.

    PubMed

    Shahmoradi, Leila; Ahmadi, Maryam; Sadoughi, Farahnaz; Piri, Zakieh; Gohari, Mahmood Reza

    2015-01-01

    A knowledge management audit (KMA) is the first phase in knowledge management implementation. Incomplete or incomprehensive execution of the KMA has caused many knowledge management programs to fail. A study was undertaken to investigate how KMAs are performed systematically in organizations and present a comprehensive model for performing KMAs based on a systematic review. Studies were identified by searching electronic databases such as Emerald, LISA, and the Cochrane library and e-journals such as the Oxford Journal and hand searching of printed journals, theses, and books in the Tehran University of Medical Sciences digital library. The sources used in this study consisted of studies available through the digital library of the Tehran University of Medical Sciences that were published between 2000 and 2013, including both Persian- and English-language sources, as well as articles explaining the steps involved in performing a KMA. A comprehensive model for KMAs is presented in this study. To successfully execute a KMA, it is necessary to perform the appropriate preliminary activities in relation to the knowledge management infrastructure, determine the knowledge management situation, and analyze and use the available data on this situation. PMID:25627852

  7. Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks

    PubMed Central

    2014-01-01

    Background Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning. Results To address these challenges, we formulated the inference of differential dependency networks that incorporate both conditional data and prior knowledge as a convex optimization problem, and developed an efficient learning algorithm to jointly infer the conserved biological network and the significant rewiring across different conditions. We used a novel sampling scheme to estimate the expected error rate due to “random” knowledge. Based on that scheme, we developed a strategy that fully exploits the benefit of this data-knowledge integrated approach. We demonstrated and validated the principle and performance of our method using synthetic datasets. We then applied our method to yeast cell line and breast cancer microarray data and obtained biologically plausible results. The open-source R software package and the experimental data are freely available at http://www.cbil.ece.vt.edu/software.htm. Conclusions Experiments on both synthetic and real data demonstrate the effectiveness of the knowledge-fused differential dependency network in revealing the statistically significant rewiring in biological networks. The method efficiently leverages data-driven evidence and existing biological knowledge while remaining robust to the false positive edges in the prior knowledge. The identified network rewiring events are supported by previous studies in the literature and also provide new mechanistic insight into the biological systems. We expect the knowledge-fused differential dependency network analysis, together with the open-source R package, to be an important and useful bioinformatics tool in biological network analyses. PMID:25055984

  8. Development of a NASA Integrated Technical Workforce Career Development Model Entitled Requisite Occupation Competencies and Knowledge -- the ROCK

    NASA Technical Reports Server (NTRS)

    Menrad, Robert J.; Larson, Wiley J.

    2008-01-01

    This paper shares the findings of NASA's Integrated Learning and Development Program (ILDP) in its effort to reinvigorate the HANDS-ON practice of space systems engineering and project/program management through focused coursework, training opportunities, on-the job learning and special assignments. Prior to March 2005, NASA responsibility for technical workforce development (the program/project manager, systems engineering, discipline engineering, discipline engineering and associated communities) was executed by two parallel organizations. In March 2005 these organizations merged. The resulting program-ILDP-was chartered to implement an integrated competency-based development model capable of enhancing NASA's technical workforce performance as they face the complex challenges of Earth science, space science, aeronautics and human spaceflight missions. Results developed in collaboration with NASA Field Centers are reported on. This work led to definition of the agency's first integrated technical workforce development model known as the Requisite Occupation Competence and Knowledge (the ROCK). Critical processes and products are presented including: 'validation' techniques to guide model development, the Design-A-CUrriculuM (DACUM) process, and creation of the agency's first systems engineering body-of-knowledge. Findings were validated via nine focus groups from industry and government, validated with over 17 space-related organizations, at an estimated cost exceeding $300,000 (US). Masters-level programs and training programs have evolved to address the needs of these practitioner communities based upon these results. The ROCK reintroduced rigor and depth to the practitioner's development in these critical disciplines enabling their ability to take mission concepts from imagination to reality.

  9. TOOLS TO MODEL ROAD IMPACTS Providing scientific knowledge and technology to sustain

    E-print Network

    Fried, Jeremy S.

    TOOLS TO MODEL ROAD IMPACTS Providing scientific knowledge and technology to sustain our nation://www.fs.fed.us/rm/boise/AWAE_home.shtml BACKGROUND The Rocky Mountain Research Station has a long his- tory of developing tools that meet the needs. Existing tools have been optimized to answer particular man- agement questions at specific spatial scales

  10. A multi-agent knowledge model for SMEs mechatronic supply chains

    E-print Network

    Boyer, Edmond

    1 A multi-agent knowledge model for SMEs mechatronic supply chains Jihene Tounsi University) in the particular context of small and medium enterprises (SMEs) in the field of mechatronic. The study is based in the mechatronic industry. These SMEs are clustered into SME networks in order to achieve a common goal

  11. Review of Hisham Ghassib: Where Does Creativity Fit into the Productivist Industrial Model of Knowledge Production?

    ERIC Educational Resources Information Center

    Neber, Heinz

    2010-01-01

    In this article, the author presents his comments on Hisham Ghassib's article entitled "Where Does Creativity Fit into the Productivist Industrial Model of Knowledge Production?" Ghassib (2010) describes historical transformations of science from a marginal and non-autonomous activity which had been constrained by traditions to a self-autonomous,…

  12. Critique of "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"

    ERIC Educational Resources Information Center

    Harris, Carole Ruth

    2010-01-01

    This article presents the author's comments on Hisham Ghassib's article entitled "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" In his article, Ghassib (2010) provides an overview of the philosophical foundations that led to exact science, its role in what was later to become a driving force in the modern…

  13. Knowledge Structure Measures of Reader's Situation Models across Languages: Translation Engenders Richer Structure

    ERIC Educational Resources Information Center

    Kim, Kyung; Clariana, Roy B.

    2015-01-01

    In order to further validate and extend the application of recent knowledge structure (KS) measures to second language settings, this investigation explores how second language (L2, English) situation models are influenced by first language (L1, Korean) translation tasks. Fifty Korean low proficient English language learners were asked to read an…

  14. Knowledge Restructuring in Biology: Testing a Punctuated Model of Conceptual Change

    ERIC Educational Resources Information Center

    Mintzes, Joel; Quinn, Heather J.

    2007-01-01

    Emerging from a human constructivist view of learning and a punctuated model of conceptual change, these studies explored differences in the structural complexity and content validity of knowledge about prehistoric life depicted in concept maps by learners ranging in age from approximately 10 to 20 years. Study 1 (cross-age) explored the…

  15. Organizational Communication Research: A Conceptual Model for an Organized Knowledge Base.

    ERIC Educational Resources Information Center

    Greenbaum, Howard H.; Falcione, Raymond L.

    This paper explores systems of classification to develop a conceptual model adequate as an organized knowledge base for organizational communication research findings. The paper notes that present classification systems employed in organizational communication textbooks and in reviews of organizational literature are not adequate to the task of…

  16. GS3: A Knowledge Management Architecture for Collaborative Geologic Sequestration Modeling

    Microsoft Academic Search

    Ian Gorton; Gary D. Black; Karen L. Schuchardt; Chandrika Sivaramakrishnan; Signe K. Wurstner; Peter SY Hui

    2010-01-01

    Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as geoscience, chemistry, physics and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations.

  17. Overview of the special projects of national significance program’s 10 models of adolescent HIV care

    Microsoft Academic Search

    Elizabeth R. Woods

    1998-01-01

    Ten models of adolescent human immunodeficiency virus (HIV) care were funded in 1993 by the Special Projects of National Significance (SPNS) Program, HIV\\/Acquired Immunodeficiency Virus (AIDS) Bureau, Health Resources and Services Administration, through the Ryan White CARE Act. These models were supported to advance knowledge about the engagement of HIV-positive and at-risk adolescents and young adults in care. This article

  18. The Effects of Project-Based Learning on Students' Academic Achievement, Attitude, and Retention of Knowledge: The Subject of "Electricity in Our Lives"

    ERIC Educational Resources Information Center

    Karaçalli, Saide; Korur, Fikret

    2014-01-01

    The aim of this study is to analyze the effects of project-based learning on students' academic achievement, attitude, and retention of knowledge in relation to the subject of "Electricity in Our Lives" in a fourth-grade science course. The study was conducted in a quasi-experimental design as a "pre-test, post-test with…

  19. Development and Validation of a Measure of Elementary Teachers' Science Content Knowledge in Two Multiyear Teacher Professional Development Intervention Projects

    ERIC Educational Resources Information Center

    Maerten-Rivera, Jaime Lynn; Huggins-Manley, Anne Corinne; Adamson, Karen; Lee, Okhee; Llosa, Lorena

    2015-01-01

    Using data collected from two multiyear teacher professional development projects employing randomized control trials, this study describes the development and validation of a paper-based test of elementary teachers' science content knowledge (SCK). Evidence of construct validity is presented, including evidence on internal structural…

  20. Sustainable Hydro Assessment and Groundwater Recharge Projects (SHARP) in Germany - Water Balance Models

    NASA Astrophysics Data System (ADS)

    Niemand, C.; Kuhn, K.; Schwarze, R.

    2010-12-01

    SHARP is a European INTERREG IVc Program. It focuses on the exchange of innovative technologies to protect groundwater resources for future generations by considering the climate change and the different geological and geographical conditions. Regions involved are Austria, United Kingdom, Poland, Italy, Macedonia, Malta, Greece and Germany. They will exchange practical know-how and also determine know-how demands concerning SHARP’s key contents: general groundwater management tools, artificial groundwater recharge technologies, groundwater monitoring systems, strategic use of groundwater resources for drinking water, irrigation and industry, techniques to save water quality and quantity, drinking water safety plans, risk management tools and water balance models. SHARP Outputs & results will influence the regional policy in the frame of sustainable groundwater management to save and improve the quality and quantity of groundwater reservoirs for future generations. The main focus of the Saxon State Office for Environment, Agriculture and Landscape in this project is the enhancement and purposive use of water balance models. Already since 1992 scientists compare different existing water balance models on different scales and coupled with groundwater models. For example in the KLIWEP (Assessment of Impacts of Climate Change Projections on Water and Matter Balance for the Catchment of River Parthe in Saxony) project the coupled model WaSiM-ETH - PCGEOFIM® has been used to study the impact of climate change on water balance and water supplies. The project KliWES (Assessment of the Impacts of Climate Change Projections on Water and Matter Balance for Catchment Areas in Saxony) still running, comprises studies of fundamental effects of climate change on catchments in Saxony. Project objective is to assess Saxon catchments according to the vulnerability of their water resources towards climate change projections in order to derive region-specific recommendations for management actions. The model comparisons within reference areas showed significant differences in outcome. The values of water balance components calculated with different models partially fluctuate by a multiple of their value. The SHARP project was prepared in several previous projects that were testing suitable water balance models and is now able to assist the knowledge transfer.

  1. Elementary School Teachers' Knowledge of Model Functions and Modeling Processes: A Comparison of Science and Non-Science Majors

    ERIC Educational Resources Information Center

    Lin, Jing-Wen

    2014-01-01

    This study aimed to: (a) understand practicing teachers' knowledge of model functions and modeling processes, (b) compare the similarities and differences between the knowledge of science and non-science major teachers, and (c) explore the possible reasons for the similarities and differences between the knowledge of these 2 groups. A 4-point…

  2. Educating the Community: A Watershed Model Project.

    ERIC Educational Resources Information Center

    Perryess, C. S.

    2001-01-01

    Focuses on the construction and use of a schoolyard model of the Morrow Bay watershed in California. Describes the design and use of materials that include styrofoam insulation, crushed granite, cement, and stucco. (DDR)

  3. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 49: Becoming an aerospace engineer: A cross-gender comparison

    NASA Technical Reports Server (NTRS)

    Hecht, Laura M.; Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    We conducted a mail (self-reported) survey of 4300 student members of the American Institute of Aeronautics and Astronautics (AIAA) during the spring of 1993 as a Phase 3 activity of the NASA/DoD Aerospace Knowledge Diffusion Research Project. The survey was designed to explore students' career goals and aspirations, communications skills training, and their use of information sources, products, and services. We received 1723 completed questionnaires for an adjusted response rate of 42%. In this article, we compare the responses of female and male aerospace engineering students in the context of two general aspects of their educational experience. First, we explore the extent to which women and men differ in regard to factors that lead to the choice to study aerospace engineering, their current level of satisfaction with that choice, and their career-related goals and aspirations. Second, we examine students' responses to questions about communications skills training and the helpfulness of that training, and their use of and the importance to them of selected information sources, products, and services. The cross-gender comparison revealed more similarities than differences. Female students appear to be more satisfied than their male counterparts with the decision to major in aerospace engineering. Both female and male student respondents consider communications skills important for professional success, but females place a higher value than males do on oral communications skills. Women students also place a higher value than men do on the roles of other students and faculty members in satisfying their needs for information.

  4. Knowledge based system for runtime controlling of multiscale model of ion-exchange solvent extraction

    NASA Astrophysics Data System (ADS)

    Macio?, Piotr; Gotfryd, Leszek; Macio?, Andrzej

    2012-09-01

    The hereby paper concerns the issue of solution of runtime controlling of multiscale model of ion-exchange solvent extraction. It is based on cooperation of a framework applying Agile Multiscale Modeling Methodology (AM3), and the REBIT Knowledge Based System. Ion-exchange solvent extraction has been shortly introduced. Design assumptions of AM3 and theoretical basis of REBIT have been described. Designed workflows and rules for simple laminar/ turbulent flow and extraction processes have been shown.

  5. An Intelligent Knowledge Processing System on Hydrodynamics and Water Quality Modeling

    Microsoft Academic Search

    Kwok-wing Chau; Chuntian Cheng; Y. S. Li; C. W. Li; O. Wai

    2002-01-01

    In order to aid novice users in the proper selection and application of myriad ever-complicated algorithmic models on coastal\\u000a processes, needs arise on the incorporation of the recent artificial intelligence technology into them. This paper delineates\\u000a an intelligent knowledge processing system on hydrodynamics and water quality modeling to emulate expert heuristic reasoning\\u000a during the problem-solving process by integration of the

  6. Artificial neural network modeling using clinical and knowledge independent variables predicts salt intake reduction behavior

    PubMed Central

    Isma’eel, Hussain A.; Sakr, George E.; Almedawar, Mohamad M.; Fathallah, Jihan; Garabedian, Torkom; Eddine, Savo Bou Zein

    2015-01-01

    Background High dietary salt intake is directly linked to hypertension and cardiovascular diseases (CVDs). Predicting behaviors regarding salt intake habits is vital to guide interventions and increase their effectiveness. We aim to compare the accuracy of an artificial neural network (ANN) based tool that predicts behavior from key knowledge questions along with clinical data in a high cardiovascular risk cohort relative to the least square models (LSM) method. Methods We collected knowledge, attitude and behavior data on 115 patients. A behavior score was calculated to classify patients’ behavior towards reducing salt intake. Accuracy comparison between ANN and regression analysis was calculated using the bootstrap technique with 200 iterations. Results Starting from a 69-item questionnaire, a reduced model was developed and included eight knowledge items found to result in the highest accuracy of 62% CI (58-67%). The best prediction accuracy in the full and reduced models was attained by ANN at 66% and 62%, respectively, compared to full and reduced LSM at 40% and 34%, respectively. The average relative increase in accuracy over all in the full and reduced models is 82% and 102%, respectively. Conclusions Using ANN modeling, we can predict salt reduction behaviors with 66% accuracy. The statistical model has been implemented in an online calculator and can be used in clinics to estimate the patient’s behavior. This will help implementation in future research to further prove clinical utility of this tool to guide therapeutic salt reduction interventions in high cardiovascular risk individuals.

  7. Understanding the Role of Representation in Interorganizational Knowledge Integration: A Case Study of an IT Outsourcing Project

    ERIC Educational Resources Information Center

    Werr, Andreas; Runsten, Philip

    2013-01-01

    Purpose: The current paper aims at contributing to the understanding of interorganizational knowledge integration by highlighting the role of individuals' understandings of the task and how they shape knowledge integrating behaviours. Design/methodology/approach: The paper presents a framework of knowledge integration as heedful interrelating.…

  8. Preservation of Records, Knowledge and Memory Across Generations. An emerging Multidisciplinary Work Area and an NEA Project - 12218

    SciTech Connect

    Schroeder, Jantine [Belgian Nuclear Research Institute SCK.CEN, Mol (Belgium); Pescatore, Claudio [OECD NEA, Paris (France)

    2012-07-01

    Disposal in engineered facilities built in stable, deep geological formations is the reference means for permanently isolating long-lived radioactive waste from the human biosphere. This management method is designed to be intrinsically safe and final, i.e. not dependent on human presence and intervention in order to fulfil its safety goal. There is however no intention to forgo, at any time, knowledge and awareness either of the repository or of the waste that it contains. The preservation of Records, Knowledge and Memory (RK and M) is seen as an integral part of radioactive waste management, supporting lengthy and complex socio-technical processes across pre-operational, operational and post-operational lifetimes. Long-term preservation of RK and M is an emerging multidisciplinary work area in which much learning is expected over the coming years. Novel methods are being sought that are least vulnerable to both natural degradation and to changes in socio-economic conditions. Progress has been made in individual countries, but there is a need to internationalise the thinking, compare approaches, investigate potential solutions and share decisions. This is the task of the NEA RK and M project. A major outcome of the project will be a 'menu-driven document' that will allow people to identify the main elements of a strategic action plan for RK and M preservation. In sum, the preservation of RK and M is a unprecedented task in which technical, scientific and social information is interwoven and needs to be developed and preserved across generations and across specialist boundaries. Important studies have been undertaken in the past decades to explore a variety of approaches to preserving RK and M across different timescales, including archives and markers. The work of the past in this area is useful, but innovative thinking is also needed. Seen from today's perspective, very little work is available on for example the contextualization of data for later use; on the systematic identification of mechanisms for RK and M transfer; on implementing a culture of RK and M-keeping in organisations; and on creating cultural links between the waste disposals and the siting communities. Moreover, international cooperation is recognised as being crucial in providing shared means and meanings for memory transmission over longer timescales. International cooperation has also been identified as a catalyst to ensure that a wide range of approaches and experiences is considered, thus potentially reducing uncertainty related to variations in approach. Overall, multiple approaches, requiring active and less active care, need to be considered from the start of the radioactive waste management programme and refined in the course of time. The RK and M project members want to further investigate and deliver support to fulfil this task. (authors)

  9. Modeling Human Physiology: The IUPS\\/EMBS Physiome Project

    Microsoft Academic Search

    PETER J. HUNTER

    2006-01-01

    The Physiome Project is an international collaboration to provide a framework for understanding human physiology, from proteins and cells to tissues and organs, with multiscale models that use computational techniques derived from engineering and software approaches from computer science. With the increasing interest in modeling living systems from research scientists in many branches of mathematics, physics, and engineering, it is

  10. Temperature dependent climate projection deficiencies in CMIP5 models

    NASA Astrophysics Data System (ADS)

    Christensen, Jens H.; Boberg, Fredrik

    2012-12-01

    Monthly mean temperatures for 34 GCMs available from the CMIP5 project are compared with observations from CRU for 26 different land regions covering all major land areas in the world for the period 1961-2000 by means of quantile-quantile (q-q) diagrams. A warm period positive temperature dependent bias is identified for many of the models within many of the chosen climate regions. However, the exact temperature dependence varies considerably between the models. We analyse the role of this difference as a contributing factor for some models to project stronger regional warming than others by looking at the entire ensemble rather than individual models. RCP4.5 temperature projections from all GCMs for two time periods (2021-2050 and 2071-2100) are compared against a linear fit to the 50% warmest months from the respective q-q plot for each model and region. Taken together, we find that in general models with a positive temperature dependent bias tend to have a large projected temperature change, and these tendencies increase with increasing global warming level. We argue that this appears to be linked with the ability of models to capture complex feedbacks accurately. In particular land-surface atmosphere interactions are treated differently and with different degree of realism between models.

  11. Temperature Dependent Climate Projection Deficiencies in CMIP5 Models

    NASA Astrophysics Data System (ADS)

    Boberg, Fredrik; Christensen, Jens

    2013-04-01

    Monthly mean temperatures for 34 GCMs available from the CMIP5 project are compared with observations from CRU for 26 different land regions covering all major land areas in the world for the period 1961-2000 by means of quantile-quantile (q-q) diagrams. A significant warm period positive temperature dependent bias is identified for many of the models within a majority of the chosen climate regions. However, the exact temperature dependence varies considerably between the models. We analyse the role of this difference as a contributing factor for some models to project stronger regional warming than others by looking at the entire ensemble rather than individual models. RCP4.5 temperature projections from all GCMs for two time periods (2021-2050 and 2071-2100) are compared against a linear fit to the 50% warmest months from the respective q-q plot for each model and region. Taken together, we find that in general models with a positive temperature dependent bias tend to have a large projected temperature change. In some regions, there is no such dependency and in a few, the dependency is the opposite, although not statistically significant. Moreover, where positively identified these tendencies increase with increased global warming. We argue that this appears to be linked with the ability of models to capture complex feedbacks accurately. In particular land-surface atmosphere interactions are treated differently and with different degree of realism between models.

  12. Photograph of model projected new hospital building and new landscaping ...

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

    Photograph of model projected new hospital building and new landscaping for area north of building 500. Model displayed on the mezzanine level of building 500. - Fitzsimons General Hospital, Bounded by East Colfax to south, Peoria Street to west, Denver City/County & Adams County Line to north, & U.S. Route 255 to east, Aurora, Adams County, CO

  13. Geomorphological feature extraction from a digital elevation model through fuzzy knowledge-based classification

    NASA Astrophysics Data System (ADS)

    Argialas, Demetre P.; Tzotsos, Angelos

    2003-03-01

    The objective of this research was the investigation of advanced image analysis methods for geomorphological mapping. Methods employed included multiresolution segmentation of the Digital Elevation Model (DEM) GTOPO30 and fuzzy knowledge based classification of the segmented DEM into three geomorphological classes: mountain ranges, piedmonts and basins. The study area was a segment of the Basin and Range Physiographic Province in Nevada, USA. The implementation was made in eCognition. In particular, the segmentation of GTOPO30 resulted into primitive objects. The knowledge-based classification of the primitive objects based on their elevation and shape parameters, resulted in the extraction of the geomorphological features. The resulted boundaries in comparison to those by previous studies were found satisfactory. It is concluded that geomorphological feature extraction can be carried out through fuzzy knowledge based classification as implemented in eCognition.

  14. Knowledge Acquisition Models of SMEs' New Product Development Processes and the Role of Patent Information

    Microsoft Academic Search

    Hanna Timonen; Eila Järvenpää

    2005-01-01

    Successful new product development (NPD) activities need high amounts of new knowledge from a variety of different sources. When the NPD activities are seen as a process of knowledge accumulation, two knowledge processes are identified: knowledge acquisition and knowledge utilization. This study focuses on the process of knowledge acquisition from external knowledge sources in the NPD of SMEs. Based on

  15. Strategies to promote success on the NCLEX-RN: an evidence-based approach using the ACE Star Model of Knowledge Transformation.

    PubMed

    Bonis, Susan; Taft, Lois; Wendler, M Cecilia

    2007-01-01

    This article describes an evidence-based project undertaken to develop and implement educational strategies to improve NCLEX-RN scores in a baccalaureate nursing program. The ACE Star Model of Knowledge Transformation, a tool used to assist in understanding the process of knowledge discovery and transformation in evidence-based practice, guided this project. A review of the literature revealed a downward trend in successful completion of the NCLEX-RN along with anecdotal reports of educational strategies intended to improve success on the exam. The literature review failed to uncover evaluations of the effectiveness of reported strategies. Resultant recommendations included an integrated strategy consisting of assessment testing, independent study, and simulated NCLEX examinations. Evaluation of the strategies revealed improved success on the NCLEX-RN. Pass rates from rose from 87.76 percent in fall 2001 to 94.81 percent in fall 2004. PMID:17486797

  16. MATH 360: Project 2, Improving the Trans-Siberian Railway Model This project is due Monday 13th October.

    E-print Network

    Fletcher, Alastair

    October. Background: In the sample project we considered in class, we determined that the cost-mile shipping costs were the same everywhere on the railway. In this project, we will investigate what happensMATH 360: Project 2, Improving the Trans-Siberian Railway Model This project is due Monday 13th

  17. ISMIP6: Ice Sheet Model Intercomparison Project for CMIP6

    NASA Astrophysics Data System (ADS)

    Nowicki, Sophie; Payne, Tony; Larour, Eric; Abe Ouchi, Ayako; Goelzer, Heiko; Gregory, Jonathan; Lipscomb, William; Seroussi, Helene; Shepherd, Andrew

    2015-04-01

    The sea level projections made by the glaciological community as part of the Intergovernmental Panel on Climate Change (IPCC) process have often been out of phase with the projections considered by the wider Coupled Model Intercomparison Project (CMIP) community. For instance in AR5, the ice2sea and SeaRISE (Sea-level Response to Ice Sheet Evolution) ice sheet projects predominantly worked with AR4 scenarios, while the CMIP5 community used new future scenarios. As the next phase of CMIP is being designed (CMIP6), an effort for ice sheet models to be better integrated in the CMIP6 initiative has been proposed to the CMIP panel. We present the framework for the new effort, ISMIP6, the Ice Sheet Model Intercomparison Project for CMIP6. The primary goal of ISMIP6 is to improve projections of sea level rise via improved projections of the evolution of the Greenland and Antarctic ice sheets under a changing climate, along with a quantification of associated uncertainties (including uncertainty in both climate forcing and ice-sheet response). This goal requires an evaluation of AOGCM climate over and surrounding the ice sheets; analysis of simulated ice-sheet response from standalone models forced "offline" with CMIP AOGCM outputs and, where possible, with coupled ice sheet-AOGCM models; and experiments with standalone ice sheet models targeted at exploring the uncertainty associated with ice sheets physics, dynamics and numerical implementation. A secondary goal is to investigate the role of feedbacks between ice sheets and climate in order to gain insight into the impact of increased mass loss from the ice sheets on regional and global sea level, and of the implied ocean freshening on the coupled ocean-atmosphere circulation. These goals map into both Cryosphere and Sea-Level Rise Grand Challenges relevant to Climate and Cryosphere (CliC) and the World Climate Research Program (WCRP).

  18. The Model Industrial Technology Systems Project.

    ERIC Educational Resources Information Center

    Bowling Green State Univ., OH.

    This document contains materials used in a model industrial technology program that introduced technology into the curricula of elementary, middle, and high schools in three sites in Ohio: the Central site (coordinated through Ohio State University); the Northeast site (coordinated through Kent State University); and the Northwest site…

  19. SEWAGE SLUDGE PATHOGEN TRANSPORT MODEL PROJECT

    EPA Science Inventory

    The sewage sludge pathogen transport model predicts the number of Salmonella, Ascaris, and polioviruses which might be expected to occur at various points in the environment along 13 defined pathways. These pathways describe the use of dried or liquid, raw or anaerobically digest...

  20. Benefits of a Cohort Survival Projection Model

    ERIC Educational Resources Information Center

    Suslow, Sidney

    1977-01-01

    A cohort survival model of student attendance provides primary and secondary benefits in accurate student information not before available. At Berkeley the computerized Cohort Survival History File, in use for two years, has been successful in assessing various aspects of students' academic behavior and student flow problems. (Editor/LBH)

  1. Progress in knowledge representation research

    NASA Technical Reports Server (NTRS)

    Lum, Henry

    1985-01-01

    Brief descriptions are given of research being carried out in the field of knowledge representation. Dynamic simulation and modelling of planning systems with real-time sensor inputs; development of domain-independent knowledge representation tools which can be used in the development of application-specific expert and planning systems; and development of a space-borne very high speed integrated circuit processor are among the projects discussed.

  2. Continuous quality improvement: a shared governance model that maximizes agent-specific knowledge.

    PubMed

    Burkoski, Vanessa; Yoon, Jennifer

    2013-01-01

    Motivate, Innovate, Celebrate: an innovative shared governance model through the establishment of continuous quality improvement (CQI) councils was implemented across the London Health Sciences Centre (LHSC). The model leverages agent-specific knowledge at the point of care and provides a structure aimed at building human resources capacity and sustaining enhancements to quality and safe care delivery. Interprofessional and cross-functional teams work through the CQI councils to identify, formulate, execute and evaluate CQI initiatives. In addition to a structure that facilitates collaboration, accountability and ownership, a corporate CQI Steering Committee provides the forum for scaling up and spreading this model. Point-of-care staff, clinical management and educators were trained in LEAN methodology and patient experience-based design to ensure sufficient knowledge and resources to support the implementation. PMID:24860947

  3. Knowledgeable Neighbors:A Mobile Clinic Model for Disease Prevention and Screening in Underserved Communities

    PubMed Central

    Zurakowski, David; Bennet, Jennifer; Walker-White, Rainelle; Osman, Jamie L.; Quarles, Aaron; Oriol, Nancy

    2012-01-01

    The Family Van mobile health clinic uses a “Knowledgeable Neighbor” model to deliver cost-effective screening and prevention activities in underserved neighborhoods in Boston, MA. We have described the Knowledgeable Neighbor model and used operational data collected from 2006 to 2009 to evaluate the service. The Family Van successfully reached mainly minority low-income men and women. Of the clients screened, 60% had previously undetected elevated blood pressure, 14% had previously undetected elevated blood glucose, and 38% had previously undetected elevated total cholesterol. This represents an important model for reaching underserved communities to deliver proven cost-effective prevention activities, both to help control health care costs and to reduce health disparities. PMID:22390503

  4. Single Investigator or Group Projects? Which is the More Successful Model for a REU Site?

    NASA Astrophysics Data System (ADS)

    Boush, L. P.; Myrbo, A.; Berman, M. J.; Gnivecki, P.; Michelson, A.; Brady, K. L.

    2012-12-01

    Undergraduate research programs have become popular and effective mechanisms for developing future geoscientists and increasing participation of under-represented groups in the sciences. There are many models for implementing such programs that span different philosophies and goals. Our Research Experience for Undergraduates (REU) program in the Bahamas is in the second of its three year award and has used two different models each year of its operation. In the first year, we used the individual student project model, where students pursued their own research much like an honors or masters thesis approach. Specifically, students did individual projects in four areas: paleobiology, geoarcheology, geobiology and limnogeology. In the second year, we used the team concept model, where students were divided into two teams, coring different lakes. The students combined efforts in both the field and lab, doing basic limnology of the basins, and then collecting and analyzing the cores that they took. While both pedagogy models were successful in teaching basic science skills in the field and lab, each one had different strengths and weaknesses. The single investigator model allowed students to have complete intellectual ownership of their projects, while the group model allowed students to work together in teams and produce a more comprehensive dataset that was higher quality and more likely to be published. In addition, while student knowledge gains were statistically the same for both years, the attitudes towards science scores were higher for the 'team model' year than for the single investigator. Since one of the goals of the REU program is to engage students and foster a desire to continue scientific inquiry or careers in science, the 'team model' could be regarded as more successful. It also allowed higher quality datasets to be produced and a more realistic view of how most science is done—in a collaborative, multidisciplinary way. Each student learned all of the field and lab techniques and helped one another as a cooperative group but was held individually responsible for various aspects of the data collection and analysis. Further, it can be argued that in the short amount of time allotted for REU projects (8-10 weeks), it is difficult for inexperienced students to design a publishable project; and one could question if this is the appropriate venue for having students initiate either projects that are too large to do in the timeframe of the REU or too specific or limited in data and methods to be significant scientific contributions. Thus, we will pursue the 'team model' in our third year of our REU project because it has yielded better scientific outcomes and more satisfying experiences for our students.

  5. A Novice-Expert Study of Modeling Skills and Knowledge Structures about Air Quality

    NASA Astrophysics Data System (ADS)

    Hsu, Ying-Shao; Lin, Li-Fen; Wu, Hsin-Kai; Lee, Dai-Ying; Hwang, Fu-Kwun

    2012-10-01

    This study compared modeling skills and knowledge structures of four groups as seen in their understanding of air quality. The four groups were: experts (atmospheric scientists), intermediates (upper-level graduate students in a different field), advanced novices (talented 11th and 12th graders), and novices (10th graders). It was found that when the levels of modeling skills were measured, for most skills there was a gradual increase across the spectrum from the novices to the advanced novices to the intermediates to the experts. The study found the experts used model-based reasoning, the intermediates and advanced novices used relation-based reasoning, and the novices used phenomena-based reasoning to anticipate conclusions. The experts and intermediates used more bi-variable relationships in experimental design and anticipated conclusions, but used more multiple-variable relationships in identifying relationships. By contrast, the advanced novices and novices mostly used bi-variable relationships in all modeling skills. Based on these findings, we suggest design principles for model-based teaching and learning such as designing learning activities to encourage model-based reasoning, scaffolding one's modeling with multiple representations, testing models in authentic situations, and nurturing domain-specific knowledge during modeling.

  6. Knowledge-enhanced network simulation modeling of the nuclear power plant operator

    SciTech Connect

    Schryver, J.C.; Palko, L.E.

    1988-01-01

    Simulation models of the human operator of advanced control systems must provide an adequate account of the cognitive processes required to control these systems. The Integrated Reactor Operator/System (INTEROPS) prototype model was developed at Oak Ridge National Laboratory (ORNL) to demonstrate the feasibility of dynamically integrating a cognitive operator model and a continuous plant process model (ARIES-P) to provide predictions of the total response of a nuclear power plant during upset/emergency conditions. The model consists of a SAINT network of cognitive tasks enhanced with expertise provided by a knowledge-based fault diagnosis model. The INTEROPS prototype has been implemented in both closed and open loop modes. The prototype model is shown to be cognitively relevant by accounting for cognitive tunneling, confirmation bias, evidence chunking, intentional error, and forgetting.

  7. Integrated primary nursing: a care delivery model for the 21st-century knowledge worker.

    PubMed

    Jost, Sandra G; Bonnell, Maureen; Chacko, Suma Joe; Parkinson, Darian L

    2010-01-01

    Care delivery models are an integral component for delivering patient care. Although models may be abstract, nursing care delivery models need to be evolving and reality-based, as they serve to organize the allocation of nursing resources. How nursing resources are allocated is associated with patient and professional RN satisfaction, RN perceived autonomy, and quality outcomes. Care delivery models must be evolving within today's dynamic healthcare environment and must be structured within the context of a professional practice model. At the Hospital of the University of Pennsylvania, a Magnet-designated organization, a blend of traditional primary nursing and the updated relationship-based care has been developed and actualized. This model, Integrated Primary Nursing, exists within the framework of the Hospital of the University of Pennsylvania Nursing Excellence in Professional Practice. The coalescence of the 2 has yielded a care delivery model for the 21-st century RN knowledge worker. PMID:20562570

  8. Demonopolizing medical knowledge.

    PubMed

    Arora, Sanjeev; Thornton, Karla; Komaromy, Miriam; Kalishman, Summers; Katzman, Joanna; Duhigg, Daniel

    2014-01-01

    In the past 100 years, there has been an explosion of medical knowledge-and in the next 50 years, more medical knowledge will be available than ever before. Regrettably, current medical practice has been unable to keep pace with this explosion of medical knowledge. Specialized medical knowledge has been confined largely to academic medical centers (i.e., teaching hospitals) and to specialists in major cities; it has been disconnected from primary care clinicians on the front lines of patient care. To bridge this disconnect, medical knowledge must be demonopolized, and a platform for collaborative practice amongst all clinicians needs to be created. A new model of health care and education delivery called Project ECHO (Extension for Community Healthcare Outcomes), developed by the first author, does just this. Using videoconferencing technology and case-based learning, ECHO's medical specialists provide training and mentoring to primary care clinicians working in rural and urban underserved areas so that the latter can deliver the best evidence-based care to patients with complex health conditions in their own communities. The ECHO model increases access to care in rural and underserved areas, and it demonopolizes specialized medical knowledge and expertise. PMID:24280860

  9. Semiclassical projection of hedgehog models with quarks

    NASA Astrophysics Data System (ADS)

    Cohen, Thomas D.; Broniowski, Wojciech

    1986-12-01

    A simple semiclassical method is presented for calculating physical observables in states with good angular momentum and isospin for models whose mean-field solutions are hedgehogs. The method is applicable for theories which have both quark and meson degrees of freedom. The basic approach is to find slowly rotating solutions to the time-dependent mean-field equations. A nontrivial set of differential equations must be solved to find the quark configuration for these rotating hedgehogs. The parameters which specify the rotating solutions are treated as the collective degrees of freedom. They are requantized by imposing a set of commutation relations which ensures the correct algebra for the SU(2)×SU(2) group of angular momentum and isospin. Collective wave functions can then be found and with these wave functions all matrix elements can be calculated. The method is applied to a simple version of the chiral quark-meson model. A number of physical quantities such as magnetic moments, charge distributions, gA, g?NN, N-? mass splitting, properties of the N-? transition, etc., are calculated.

  10. Semiclassical projection of hedgehog models with quarks

    SciTech Connect

    Cohen, T.D.; Broniowski, W.

    1986-12-01

    A simple semiclassical method is presented for calculating physical observables in states with good angular momentum and isospin for models whose mean-field solutions are hedgehogs. The method is applicable for theories which have both quark and meson degrees of freedom. The basic approach is to find slowly rotating solutions to the time-dependent mean-field equations. A nontrivial set of differential equations must be solved to find the quark configuration for these rotating hedgehogs. The parameters which specify the rotating solutions are treated as the collective degrees of freedom. They are requantized by imposing a set of commutation relations which ensures the correct algebra for the SU(2) x SU(2) group of angular momentum and isospin. Collective wave functions can then be found and with these wave functions all matrix elements can be calculated. The method is applied to a simple version of the chiral quark-meson model. A number of physical quantities such as magnetic moments, charge distributions, g/sub A/, g/sub ..pi..//sub N//sub N/, N-..delta.. mass splitting, properties of the N-..delta.. transition, etc., are calculated.

  11. Aviation Safety Risk Modeling: Lessons Learned From Multiple Knowledge Elicitation Sessions

    NASA Technical Reports Server (NTRS)

    Luxhoj, J. T.; Ancel, E.; Green, L. L.; Shih, A. T.; Jones, S. M.; Reveley, M. S.

    2014-01-01

    Aviation safety risk modeling has elements of both art and science. In a complex domain, such as the National Airspace System (NAS), it is essential that knowledge elicitation (KE) sessions with domain experts be performed to facilitate the making of plausible inferences about the possible impacts of future technologies and procedures. This study discusses lessons learned throughout the multiple KE sessions held with domain experts to construct probabilistic safety risk models for a Loss of Control Accident Framework (LOCAF), FLightdeck Automation Problems (FLAP), and Runway Incursion (RI) mishap scenarios. The intent of these safety risk models is to support a portfolio analysis of NASA's Aviation Safety Program (AvSP). These models use the flexible, probabilistic approach of Bayesian Belief Networks (BBNs) and influence diagrams to model the complex interactions of aviation system risk factors. Each KE session had a different set of experts with diverse expertise, such as pilot, air traffic controller, certification, and/or human factors knowledge that was elicited to construct a composite, systems-level risk model. There were numerous "lessons learned" from these KE sessions that deal with behavioral aggregation, conditional probability modeling, object-oriented construction, interpretation of the safety risk results, and model verification/validation that are presented in this paper.

  12. Are black-box models of thermoregulatory control obsolete? The importance of borrowed knowledge.

    PubMed Central

    Simon, E.; Ludwig, O.; Vieth, E.

    1986-01-01

    Black-box models of thermoregulatory control have gained increasing importance in describing the properties of the biological thermostat and in devising working hypotheses for further experimental analysis. Incorporation of knowledge acquired independently from the systems analysis approach into black-box models of thermoregulation has proven useful in improving their predictive ability. The pieces of "borrowed knowledge" from independent analysis which are currently utilized in devising models of homeothermic thermoregulation comprise: the proportional control property of the biological thermostat, the Sherringtonian principles of synaptic interaction, the multiple input control of thermoregulatory effectors with differential input-effector coupling, the lack of significant thermosensory contribution from the hypothalamus in birds, the existence of warm and cold receptors and the thermal characteristics of their responses, and the Q10-type temperature dependence of temperature signal transmission within the central nervous system. Consideration of these pieces of borrowed knowledge has resulted in black-box models of temperature regulation in which explicit set-point terms are avoided. PMID:3751139

  13. Projected-Dipole Model for Quantum Plasmonics

    E-print Network

    Yan, Wei; Mortensen, N Asger

    2015-01-01

    Quantum effects of plasmonic phenomena have been explored through ab-initio studies, but only for exceedingly small metallic nanostructures, leaving most experimentally relevant structures too large to handle. We propose instead an effective description with the computationally appealing features of classical electrodynamics, while quantum properties are described accurately through an infinitely thin layer of dipoles oriented normally to the metal surface. The nonlocal polarizability of the dipole layer is mapped from the free-electron distribution near the metal surface as obtained with 1D quantum calculations, such as time-dependent density-functional theory (TDDFT), and is determined once and for all. The model can be applied to any system size that is tractable within classical electrodynamics, while capturing quantum plasmonic aspects of nonlocal response and a finite work function with TDDFT-level accuracy. Applying the theory to dimers we find quantum-corrections to the hybridization even in mesoscopi...

  14. A Taxonomy Model for Analyzing Project-Based Learning Using Analytical Hierarchy Process (AHP): A Case Study of Design of a Beer Company Website in an Elementary School

    Microsoft Academic Search

    Chung-Ping Lee; Che-Chern Lin; Rong-Jyue Fang; Howard Lo; Ming-Chih Wu

    \\u000a This paper presents a taxonomy model which applies analytical hierarchy process (AHP) to project-based learning. To implement\\u000a the proposed model, a website has been built for the sixth-graders of an elementary school for their project-based learning.\\u000a The learning target is knowledge about beer. The learning materials were provided by a local beer company. Six factors are\\u000a considered as the inputs

  15. Development of the NASA Digital Astronaut Project Muscle Model

    NASA Technical Reports Server (NTRS)

    Lewandowski, Beth E.; Pennline, James A.; Thompson, W. K.; Humphreys, B. T.; Ryder, J. W.; Ploutz-Snyder, L. L.; Mulugeta, L.

    2015-01-01

    This abstract describes development work performed on the NASA Digital Astronaut Project Muscle Model. Muscle atrophy is a known physiological response to exposure to a low gravity environment. The DAP muscle model computationally predicts the change in muscle structure and function vs. time in a reduced gravity environment. The spaceflight muscle model can then be used in biomechanical models of exercise countermeasures and spaceflight tasks to: 1) develop site specific bone loading input to the DAP bone adaptation model over the course of a mission; 2) predict astronaut performance of spaceflight tasks; 3) inform effectiveness of new exercise countermeasures concepts.

  16. A synopsis of test results and knowledge gained from the Phase-0 CSI evolutionary model

    NASA Technical Reports Server (NTRS)

    Belvin, W. Keith; Elliott, Kenny B.; Horta, Lucas G.

    1993-01-01

    The Phase-0 CSI Evolutionary Model (CEM) is a testbed for the study of space platform global line-of-sight (LOS) pointing. Now that the tests have been completed, a summary of hardware and closed-loop test experiences is necessary to insure a timely dissemination of the knowledge gained. The testbed is described and modeling experiences are presented followed by a summary of the research performed by various investigators. Some early lessons on implementing the closed-loop controllers are described with particular emphasis on real-time computing requirements. A summary of closed-loop studies and a synopsis of test results are presented. Plans for evolving the CEM from phase 0 to phases 1 and 2 are also described. Subsequently, a summary of knowledge gained from the design and testing of the Phase-0 CEM is made.

  17. Development of a knowledge-based manufacturing modelling system based on IDEF0 for the metal-cutting industry

    Microsoft Academic Search

    Cheng Leong Ang; Robert Keng Leng Gay

    1996-01-01

    This paper looks into a new area for knowledge-based system application, that of manufacturing modelling. The objective is to develop a knowledge-based manufacturing modelling system that can be used to build company-specific “as-is” and “to-be” IDEF0 models, and can therefore greatly reduce the turnaround time and effort involved in IDEF0 modelling of manufacturing systems, which can be time-consuming if done

  18. Modeling Language Learners' Knowledge State: What Are Language Students' Free Written Productions Telling Us?

    Microsoft Academic Search

    Sylvie Thouësny; Françoise Blin

    Language learner models usually provide intelligent tutoring systems with information about the learner's knowledge state, i.e. the individual's weaknesses and strengths in the target language. The information is normally collected via answers to pre-defined written production types. However, storing information from essay-type questions is more challenging, as this requires the use of instruments that can differentiate errors from mistakes. This

  19. Integrating knowledge management into organisational learning : A review of concepts and models

    Microsoft Academic Search

    Kit Fai Pun; Marcia Nathai-Balkissoon

    2011-01-01

    Purpose – This paper aims to review the concepts and constructs of some common models and frameworks advocated for knowledge management (KM) and organisational learning (OL) in literature. It sets forth a critical enquiry towards the integration of KM and OL practices and their relationship with the concepts of the learning organisation (LO) and chaordic organisation\\/enterprise (CO\\/CE). Design\\/methodology\\/approach – A

  20. Nursing constraint models for electronic health records: a vision for domain knowledge governance.

    PubMed

    Hovenga, Evelyn; Garde, Sebastian; Heard, Sam

    2005-12-01

    Various forms of electronic health records (EHRs) are currently being introduced in several countries. Nurses are primary stakeholders and need to ensure that their information and knowledge needs are being met by such systems information sharing between health care providers to enable them to improve the quality and efficiency of health care service delivery for all subjects of care. The latest international EHR standards have adopted the openEHR approach of two-level modelling. The first level is a stable information model determining structure, while the second level consists of constraint models or 'archetypes' that reflect the specifications or clinician rules for how clinical information needs to be represented to enable unambiguous data sharing. The current state of play in terms of international health informatics standards development activities is providing the nursing profession with a unique opportunity and challenge. Much work has been undertaken internationally in the area of nursing terminologies and evidence-based practice. This paper argues that to make the most of these emerging technologies and EHRs we must now concentrate on developing a process to identify, document, implement, manage and govern our nursing domain knowledge as well as contribute to the development of relevant international standards. It is argued that one comprehensive nursing terminology, such as the ICNP or SNOMED CT is simply too complex and too difficult to maintain. As the openEHR archetype approach does not rely heavily on big standardised terminologies, it offers more flexibility during standardisation of clinical concepts and it ensures open, future-proof electronic health records. We conclude that it is highly desirable for the nursing profession to adopt this openEHR approach as a means of documenting and governing the nursing profession's domain knowledge. It is essential for the nursing profession to develop its domain knowledge constraint models (archetypes) collaboratively in an international context. PMID:16115795

  1. Devising a Flexible Event Model on Top of a Common Data\\/Knowledge Storage Manager

    Microsoft Academic Search

    L. C. Chan; Qing Li

    1996-01-01

    ADOME (ADvanced Object Modeling Environment ) is a common data\\/knowledge stor- age manager that we have developed for storing, manipulating, and retrieving data objects, rules and procedures. Characterized by a versatile bridging mechanism which facilitates direct integration of a commercial OODBMS with a production rule base sys- tem, ADOME provides a native basis for accommodating those systems\\/applications that utilize Condition-Action

  2. SESAME as a Model Project for Other Regions

    NASA Astrophysics Data System (ADS)

    Winick, Herman

    2013-03-01

    UNESCO became the umbrella organization for SESAME at its Executive Board 164th session, May 2002. The following comments about SESAME were made by this board: ``a quintessential UNESCO project combining capacity building with vital peace-building through science'' and ``a model project for other regions.'' Now that SESAME is well underway, other regions (e.g.; Africa and Central Asia) should be made aware of this progress, and they should be welcomed to join SESAME as a first step in developing similar projects in their region. Students and scientists from other regions should be encouraged to attend SESAME Users' meeting, schools, workshops, etc. where they can learn about synchrotron radiation sources, beamlines, and science. They should be invited to join SESAME scientists in designing and commissioning accelerators and beamlines, gaining relevant experience for their own projects and helping SESAME in the process. UNESCO became the umbrella organization for SESAME at its Executive Board 164th session, May 2002. The following comments about SESAME were made by this board: ``a quintessential UNESCO project combining capacity building with vital peace-building through science'' and ``a model project for other regions.'' Now that SESAME is well underway, other regions (e.g.; Africa and Central Asia) should be made aware of this progress, and they should be welcomed to join SESAME as a first step in developing similar projects in their region. Students and scientists from other regions should be encouraged to attend SESAME Users' meeting, schools, workshops, etc. where they can learn about synchrotron radiation sources, beamlines, and science. They should be invited to join SESAME scientists in designing and commissioning accelerators and beamlines, gaining relevant experience for their own projects and helping SESAME in the process. Work supported by DOE Office of Basic Energy Sciences

  3. The smooth (tractor) operator: insights of knowledge engineering.

    PubMed

    Cullen, Ralph H; Smarr, Cory-Ann; Serrano-Baquero, Daniel; McBride, Sara E; Beer, Jenay M; Rogers, Wendy A

    2012-11-01

    The design of and training for complex systems requires in-depth understanding of task demands imposed on users. In this project, we used the knowledge engineering approach (Bowles et al., 2004) to assess the task of mowing in a citrus grove. Knowledge engineering is divided into four phases: (1) Establish goals. We defined specific goals based on the stakeholders involved. The main goal was to identify operator demands to support improvement of the system. (2) Create a working model of the system. We reviewed product literature, analyzed the system, and conducted expert interviews. (3) Extract knowledge. We interviewed tractor operators to understand their knowledge base. (4) Structure knowledge. We analyzed and organized operator knowledge to inform project goals. We categorized the information and developed diagrams to display the knowledge effectively. This project illustrates the benefits of knowledge engineering as a qualitative research method to inform technology design and training. PMID:22591763

  4. Participatory Modeling Processes to Build Community Knowledge Using Shared Model and Data Resources and in a Transboundary Pacific Northwest Watershed (Nooksack River Basin, Washington, USA)

    NASA Astrophysics Data System (ADS)

    Bandaragoda, C.; Dumas, M.

    2014-12-01

    As with many western US watersheds, the Nooksack River Basin faces strong pressures associated with climate variability and change, rapid population growth, and deep-rooted water law. This transboundary basin includes contributing areas in British Columbia, Canada, and has a long history of joint data collection, model development, and facilitated communication between governmental (federal, tribal, state, local), environmental, timber, agricultural, and recreational user groups. However, each entity in the watershed responds to unique data coordination, information sharing, and adaptive management regimes and thresholds, further increasing the complexity of watershed management. Over the past four years, participatory methods were used to compile and review scientific data and models, including fish habitat (endangered salmonid species), channel hydraulics, climate data, agricultural, municipal and industrial water use, and integrated watershed scale distributed hydrologic models from over 15 years of projects (from jointly funded to independent shared work by individual companies, agencies, and universities). A specific outcome of the work includes participatory design of a collective problem statement used for guidance on future investment of shared resources and development of a data-generation process where modeling results are communicated in a three-tiers for 1) public/decision-making, 2) technical, and 3) research audiences. We establish features for successful participation using tools that are iteratively developed, tested for usability through incremental knowledge building, and designed to provide rigor in modeling. A general outcome of the work is ongoing support by tribal, state, and local governments, as well as the agricultural community, to continue the generation of shared watershed data using models in a dynamic legal and regulatory setting, where two federally recognized tribes have requested federal court resolution of federal treaty rights. Our participatory modeling process aims to integrate disciplines and watershed processes over time and space, while building capacity for more holistic watershed-scale thinking, or community knowledge, by research, governmental and public interests.

  5. Reconstruction of metabolic pathways by combining probabilistic graphical model-based and knowledge-based methods.

    PubMed

    Qi, Qi; Li, Jilong; Cheng, Jianlin

    2014-01-01

    Automatic reconstruction of metabolic pathways for an organism from genomics and transcriptomics data has been a challenging and important problem in bioinformatics. Traditionally, known reference pathways can be mapped into an organism-specific ones based on its genome annotation and protein homology. However, this simple knowledge-based mapping method might produce incomplete pathways and generally cannot predict unknown new relations and reactions. In contrast, ab initio metabolic network construction methods can predict novel reactions and interactions, but its accuracy tends to be low leading to a lot of false positives. Here we combine existing pathway knowledge and a new ab initio Bayesian probabilistic graphical model together in a novel fashion to improve automatic reconstruction of metabolic networks. Specifically, we built a knowledge database containing known, individual gene / protein interactions and metabolic reactions extracted from existing reference pathways. Known reactions and interactions were then used as constraints for Bayesian network learning methods to predict metabolic pathways. Using individual reactions and interactions extracted from different pathways of many organisms to guide pathway construction is new and improves both the coverage and accuracy of metabolic pathway construction. We applied this probabilistic knowledge-based approach to construct the metabolic networks from yeast gene expression data and compared its results with 62 known metabolic networks in the KEGG database. The experiment showed that the method improved the coverage of metabolic network construction over the traditional reference pathway mapping method and was more accurate than pure ab initio methods. PMID:25374614

  6. Epistemology of Modeling and Simulation: How can we gain Knowledge from Simulations?

    E-print Network

    Andreas Tolk; Saikou Y. Diallo; Jose J. Padilla; Ross Gore

    2013-06-21

    Epistemology is the branch of philosophy that deals with gaining knowledge. It is closely related to ontology. The branch that deals with questions like "What is real?" and "What do we know?" as it provides these components. When using modeling and simulation, we usually imply that we are doing so to either apply knowledge, in particular when we are using them for training and teaching, or that we want to gain new knowledge, for example when doing analysis or conducting virtual experiments. This paper looks at the history of science to give a context to better cope with the question, how we can gain knowledge from simulation. It addresses aspects of computability and the general underlying mathematics, and applies the findings to validation and verification and development of federations. As simulations are understood as computable executable hypotheses, validation can be understood as hypothesis testing and theory building. The mathematical framework allows furthermore addressing some challenges when developing federations and the potential introduction of contradictions when composing different theories, as they are represented by the federated simulation systems.

  7. Knowledgeable antenatal care as a pathway to skilled delivery: modelling the interactions between use of services and knowledge in Zambia.

    PubMed

    Ensor, Tim; Quigley, Paula; Green, Cathy; Razak Badru, Abdul; Kaluba, Dynes; Siziya, Seter

    2014-08-01

    The link between antenatal care (ANC) and facility delivery is a specific example of the effect of early medical contacts on later use of essential services. The role of ANC in improving maternal health remains unclear. High levels of ANC are reported in a number of countries where skilled delivery remains uncommon. ANC may influence the use of services by increasing willingness to use services and educating about maternal health. The objective of this study is to understand the interaction between use of skilled and unskilled ANC, knowledge of obstetric complications and danger signs, and the eventual use of a facility for delivery. The study makes use of data from a survey of around 1700 women who had recently given birth across 11 districts of Zambia in 2011. Multivariate analysis is used to explore the associations between ANC use, knowledge and place of delivery. The results suggest that place of care and number of visits is strongly associated with the eventual use of a facility for delivery; an effect that is stronger in remote areas. Both skilled and unskilled ANC and obstetric knowledge is linked to higher use of facility delivery care while care provided at home appears to have an opposite effect. The research suggests that ANC influences later use of delivery care in two ways: by developing a habit to use formal care services and in increasing maternal knowledge. The work might be generalized to other health seeking behaviour to explore how the quantity and quality of initial contacts influence later use of services. PMID:23894074

  8. The Influence of Knowledge on Young People's Perceptions About Wildlife. Final Project Report to the National Wildlife Federation.

    ERIC Educational Resources Information Center

    LaHart, David E.

    Knowledge about ecological concepts, about wildlife and about endangered and threatened species was measured using over 1,300 eighth graders in Broward County, Florida. Knowledge scores were correlated with attitudes, non-consumptive attitude orientations, demographic characteristics, level of animal activities, and other variables. Study results…

  9. Modeling studies for planning: The Green Bay project

    SciTech Connect

    Martin, J.L.; Richardson, W.L.; McCutcheon, S.C.

    1991-06-01

    A major contaminant monitoring and modeling study is underway for Green Bay, Lake Michigan. Monitoring programs in support of contaminant modeling of large waterbodies, such as for Green Bay, are expensive and their extent is often limited by budget limitations, laboratory capacity, and logistic constraints. Physical/chemical and food chain models were applied using historical data to aid in project planning by identifying processes having the greatest impact on the predictive capability of mass balance models. Studies were also conducted to estimate errors in computed tributary loadings and in-Bay concentrations and contaminant mass associated with different sampling strategies.

  10. An Input/Output Model for State Manpower Projections.

    ERIC Educational Resources Information Center

    Watson, Donald A.

    This study develops an input-output model for making employment projections and applies it to the Oregon economy. Using published data and guided estimates, the study provides an approximation of the structure of the Oregon economy in 1963, as the first step in the systematic investigation of the State's economic and trade transactions. This…

  11. Geospatial application of the Water Erosion Prediction Project (WEPP) model

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Water Erosion Prediction Project (WEPP) model is a process-based technology for prediction of soil erosion by water at hillslope profile, field, and small watershed scales. In particular, WEPP utilizes observed or generated daily climate inputs to drive the surface hydrology processes (infiltrat...

  12. The Standard Model Fermion Spectrum From Complex Projective Spaces

    Microsoft Academic Search

    Brian P. Dolan; C. Nash

    2002-01-01

    It is shown that the quarks and leptons of the standard model, including a right-handed neutrino, can be obtained by gauging the holonomy groups of complex projective spaces of complex dimensions two and three. The spectrum emerges as chiral zero modes of the Dirac operator coupled to gauge fields and the demonstration involves an index theorem analysis on a general

  13. Terrain and Behavior Modeling for Projecting Multistage Cyber Attacks

    E-print Network

    Jay Yang, Shanchieh

    Terrain and Behavior Modeling for Projecting Multistage Cyber Attacks Daniel Fava Jared Holsopple of intrusion alerts occurring on computer networks. Traced or tracked cyber attacks are the bases for threat likely next targets and predicting attacker behavior. A virtual cyber terrain is proposed for identifying

  14. Projecting Cyber Attacks Through Variable Length Markov Models

    E-print Network

    Jay Yang, Shanchieh

    1 Projecting Cyber Attacks Through Variable Length Markov Models Daniel S. Fava, Stephen R. Byers forecasting. By interpreting cyber attacks as sequences of malicious actions observed through IDS alerts alerts. One possible byproduct of correlating raw IDS data are attack tracks, which consist of ordered

  15. Geospatial application of the Water Erosion Prediction Project (WEPP) model

    Technology Transfer Automated Retrieval System (TEKTRAN)

    At the hillslope profile and/or field scale, a simple Windows graphical user interface (GUI) is available to easily specify the slope, soil, and management inputs for application of the USDA Water Erosion Prediction Project (WEPP) model. Likewise, basic small watershed configurations of a few hillsl...

  16. Phase-aware projection model for steganalysis of JPEG images

    NASA Astrophysics Data System (ADS)

    Holub, Vojt?ch; Fridrich, Jessica

    2015-03-01

    State-of-the-art JPEG steganographic algorithms, such as J-UNIWARD, are currently better detected in the spatial domain rather than the JPEG domain. Rich models built from pixel residuals seem to better capture the impact of embedding than features constructed as co-occurrences of quantized JPEG coefficients. However, when steganalyzing JPEG steganographic algorithms in the spatial domain, the pixels' statistical properties vary because of the underlying 8 × 8 pixel grid imposed by the compression. In order to detect JPEG steganography more accurately, we split the statistics of noise residuals based on their phase w.r.t. the 8 × 8 grid. Because of the heterogeneity of pixels in a decompressed image, it also makes sense to keep the kernel size of pixel predictors small as larger kernels mix up qualitatively different statistics more, losing thus on the detection power. Based on these observations, we propose a novel feature set called PHase Aware pRojection Model (PHARM) in which residuals obtained using a small number of small-support kernels are represented using first-order statistics of their random projections as in the projection spatial rich model PSRM. The benefit of making the features "phase-aware" is shown experimentally on selected modern JPEG steganographic algorithms with the biggest improvement seen for J-UNIWARD. Additionally, the PHARM feature vector can be computed at a fraction of computational costs of existing projection rich models.

  17. Business/Education Partnerships in South Carolina. Model Projects.

    ERIC Educational Resources Information Center

    South Carolina State Dept. of Education, Columbia. Div. of Public Accountability.

    This report describes 38 model school-business partnerships that are being conducted in South Carolina. The 38 reports were gathered from 24 school districts and 3 statewide projects. Criteria for selection were that the partnerships must be in some way exemplary of the program and the school district must have reported in some detail their…

  18. Superordinate identities and intergroup conflict: The ingroup projection model

    Microsoft Academic Search

    Michael Wenzel; Amélie Mummendey; Sven Waldzus

    2007-01-01

    This chapter summarises results from a research programme on the psychological basis of tolerance and discrimination in intergroup relations, with particular consideration of the role of superordinate identities. According to the ingroup projection model, a relevant superordinate group provides dimensions and norms for comparisons between ingroup and outgroup. Groups gain positive value or status when they are considered prototypical for

  19. MATH100 PROJECT A SIMPLE MODEL FOR TUMOR GROWTH

    E-print Network

    Fasshauer, Greg

    MATH100 PROJECT A SIMPLE MODEL FOR TUMOR GROWTH Introduction. It has been observed experimentally that a tumor grows by dividing its cells, and at early stage the tumor grows at a rate proportional (1) is known as the law of natural growth. Given the initial tumor volume is V0 at the initial time t

  20. An overview of results from the Coupled Model Intercomparison Project

    NASA Astrophysics Data System (ADS)

    Covey, Curt; AchutaRao, Krishna M.; Cubasch, Ulrich; Jones, Phil; Lambert, Steven J.; Mann, Michael E.; Phillips, Thomas J.; Taylor, Karl E.

    2003-06-01

    The Coupled Model Intercomparison Project (CMIP) collects output from global coupled ocean-atmosphere general circulation models (coupled GCMs). Among other uses, such models are employed both to detect anthropogenic effects in the climate record of the past century and to project future climatic changes due to human production of greenhouse gases and aerosols. CMIP has archived output from both constant forcing ("control run") and perturbed (1% per year increasing atmospheric carbon dioxide) simulations. This report summarizes results form 18 CMIP models. A third of the models refrain from employing ad hoc flux adjustments at the ocean-atmosphere interface. The new generation of non-flux-adjusted control runs are nearly as stable as—and agree with observations nearly as well as—the flux-adjusted models. Both flux-adjusted and non-flux-adjusted models simulate an overall level of natural internal climate variability that is within the bounds set by observations. These developments represent significant progress in the state of the art of climate modeling since the Second (1995) Scientific Assessment Report of the Intergovernmental Panel on Climate Change (IPCC; see Gates et al. [Gates, W.L., et al., 1996. Climate models—Evaluation. Climate Climate 1995: The Science of Climate Change, Houghton, J.T., et al. (Eds.), Cambridge Univ. Press, pp. 229-284]). In the increasing-CO 2 runs, differences between different models, while substantial, are not as great as one might expect from earlier assessments that relied on equilibrium climate sensitivity.

  1. Hanford K-area boiler-turbine-alternator modeling project

    Microsoft Academic Search

    E. V. Brower

    1976-01-01

    Technical work performed by General Electric under a project sponsored by ERDA to develop and validate by test mathematical models for a 5MVA generator, its excitation system, and a 1500 hp motor-pump load at the Hanford K-Area is documented. Extensive test planning and analytical work is described in considerable detail. Model structures have been developed for each of the components

  2. The simulation model of teleradiology in telemedicine project.

    PubMed

    Goodini, Azadeh; Torabi, Mashallah; Goodarzi, Maryam; Safdari, Reza; Darayi, Mohamad; Tavassoli, Mahdieh; Shabani, MohammadMehdi

    2015-01-01

    Telemedicine projects are aimed at offering medical services to people who do not have access to direct diagnosis and treatment services. As a powerful tool for analyzing the performance of complex systems and taking probable events into consideration, systemic simulation can facilitate the analysis of implementation processes of telemedicine projects in real-life-like situations. The aim of the present study was to propose a model for planning resource capacities and allocating human and operational resources to promote the efficiency of telemedicine project by investigating the process of teleradiology. In this article, after verification of the conceptual model by the experts of this field, the computerized simulation model is developed using simulation software Arena. After specifying the required data, different improvement scenarios are run using the computerized model by feeding the data into the software and validation and verification of the model. Fixing input data of the system such as the number of patients, their waiting time, and process time of each function, for example, magnetic resonance imaging or scan, has been compared with the current radiology process. Implementing the teleradiology model resulted in reduction of time of patients in the system (current: 1.84 ± 0.00, tele: 0.81 ± 0.00). Furthermore, through this process, they can allocate the lower resources to perform better functions of staff. The use of computerized simulation is essential for designing processes, optimal allocation of resources, planning, and making appropriate decisions for providing timely services to patients. PMID:25627857

  3. The WHISK (Women's Health: Increasing the Awareness of Science and Knowledge) Pilot Project: Recognizing Sex and Gender Differences in Women's Health and Wellness

    PubMed Central

    Dennis, Sabriya; Weaks, Francesca

    2013-01-01

    Women's health encompasses a continuum of biological, psychological, and social challenges that di?er considerably from those of men. Despite the remarkable advances in science, women's health and sex di?erences research is slowly gaining recognition and acceptance. It is important that women's health gain attention as women are usually the gatekeepers of care for the family. Women's health and health outcomes are strongly influenced by sex and gender di?erences as well as geography. Around the world, the interplay of biology and culture brings about di?erences in men's and women's health, which have been largely overlooked. The Women's Health: Increasing the Awareness of Science and Knowledge (WHISK) Pilot Project was a multidisciplinary project aimed to increase the awareness of sex and gender di?erences in women's health and research among healthcare professionals. Theater expression and creative art were used to translate knowledge, enhance understanding, and increase the awareness of sex di?erences. Findings from this project clearly showed an apparent increase in knowledge and cultivation of new insights. PMID:24416695

  4. A prior knowledge model for multidimensional striping noise compensation in hyperspectral imaging devices

    NASA Astrophysics Data System (ADS)

    Meza, Pablo; Pezoa, Jorge E.; Parra, Francisca; Torres, Sergio N.

    2012-09-01

    In this paper, a prior knowledge model is proposed in order to increase the effectiveness of a multidimensional striping noise compensation (SNC) algorithm. This is accomplished by considering an optoelectronic approach, thereby generating a more accurate mathematical representation of the hyperspectral acquisition process. The proposed model includes knowledge on the system spectral response, which can be obtained by means of an input with known spectral radiation. Further, the model also considers the dependence of the noise structure on the analog-digital conversion process, that is, schemes such as active-pixel sensor (APS) and passive-pixel sensor (PPS) have been considered. Finally, the model takes advantage of the degree of crosstalk between consecutive bands in order to determinate how much of this spectral information is contributing to the read out data obtained in a particular band. All prior knowledge is obtained by a series of experimental analysis, and then integrated into the model. After estimating the required parameters, the applicability of the multidimensional SNC is illustrated by compensating for stripping noise in hyperspectral images acquired using an experimental setup. A laboratory prototype, based on both a Photonfocus Hurricane hyperspectral camera and a Xeva Xenics NIR hyperspectral camera, has been implemented to acquire data in the range of 400-1000 [nm] and 900-1700 [nm], respectively. Also, a mobile platform has been used to simulate and synchronize the scanning procedure of the cameras and an uniform tungsten lamp has been installed to ensure an equal spectral radiance between the different bands for calibration purpose.

  5. The Standard Model Fermion Spectrum From Complex Projective spaces

    E-print Network

    Brian P. Dolan; C. Nash

    2002-11-14

    It is shown that the quarks and leptons of the standard model, including a right-handed neutrino, can be obtained by gauging the holonomy groups of complex projective spaces of complex dimensions two and three. The spectrum emerges as chiral zero modes of the Dirac operator coupled to gauge fields and the demonstration involves an index theorem analysis on a general complex projective space in the presence of topologically non-trivial SU(n)xU(1) gauge fields. The construction may have applications in type IIA string theory and non-commutative geometry.

  6. Identifying and measuring Reach and Richness: Toward a knowledge sharing mechanism selection model

    Microsoft Academic Search

    Kah-Hin Chai; Wenting Liu

    2010-01-01

    The paper proposes a framework which connects knowledge sharing mechanisms with the knowledge awareness and transfer stages for better intra-firm knowledge sharing. This study provides empirical foundation on how to select cost effective and efficient knowledge sharing mechanisms within organization. Two dimensions, namely “Reach” and “Richness” characterize the nature of knowledge sharing mechanisms. Survey results gathered partially confirm the hypotheses

  7. Modeling air quality over China: Results from the Panda project

    NASA Astrophysics Data System (ADS)

    Katinka Petersen, Anna; Bouarar, Idir; Brasseur, Guy; Granier, Claire; Xie, Ying; Wang, Lili; Wang, Xuemei

    2015-04-01

    China faces strong air pollution problems related to rapid economic development in the past decade and increasing demand for energy. Air quality monitoring stations often report high levels of particle matter and ozone all over the country. Knowing its long-term health impacts, air pollution became then a pressing problem not only in China but also in other Asian countries. The PANDA project is a result of cooperation between scientists from Europe and China who joined their efforts for a better understanding of the processes controlling air pollution in China, improve methods for monitoring air quality and elaborate indicators in support of European and Chinese policies. A modeling system of air pollution is being setup within the PANDA project and include advanced global (MACC, EMEP) and regional (WRF-Chem, EMEP) meteorological and chemical models to analyze and monitor air quality in China. The poster describes the accomplishments obtained within the first year of the project. Model simulations for January and July 2010 are evaluated with satellite measurements (SCIAMACHY NO2 and MOPITT CO) and in-situ data (O3, CO, NOx, PM10 and PM2.5) observed at several surface stations in China. Using the WRF-Chem model, we investigate the sensitivity of the model performance to emissions (MACCity, HTAPv2), horizontal resolution (60km, 20km) and choice of initial and boundary conditions.

  8. A Conceptual Knowledge-link model for supporting Dental Implant Anderson Luis Szejka1,2,a

    E-print Network

    Boyer, Edmond

    A Conceptual Knowledge-link model for supporting Dental Implant Process Anderson Luis Szejka1,2,a.rudek@pucpr.br, dherve.panetto@univ-lorraine.fr. Keywords: Knowledge-link. Medical Image Processing. Dental Implant visualization of CT images to define the parameters for dental implant process leaving to the dentist discretion

  9. The Application of SECI Model as a Framework of Knowledge Creation in Virtual Learning: Case Study of IUST Virtual Classes

    ERIC Educational Resources Information Center

    Hosseini, Seyede Mehrnoush

    2011-01-01

    The research aims to define SECI model of knowledge creation (socialization, externalization, combination, and internalization) as a framework of Virtual class management which can lead to better online teaching-learning mechanisms as well as knowledge creation. It has used qualitative research methodology including researcher's close observation…

  10. Model-based reasoning for system and software engineering: The Knowledge From Pictures (KFP) environment

    NASA Technical Reports Server (NTRS)

    Bailin, Sydney; Paterra, Frank; Henderson, Scott; Truszkowski, Walt

    1993-01-01

    This paper presents a discussion of current work in the area of graphical modeling and model-based reasoning being undertaken by the Automation Technology Section, Code 522.3, at Goddard. The work was initially motivated by the growing realization that the knowledge acquisition process was a major bottleneck in the generation of fault detection, isolation, and repair (FDIR) systems for application in automated Mission Operations. As with most research activities this work started out with a simple objective: to develop a proof-of-concept system demonstrating that a draft rule-base for a FDIR system could be automatically realized by reasoning from a graphical representation of the system to be monitored. This work was called Knowledge From Pictures (KFP) (Truszkowski et. al. 1992). As the work has successfully progressed the KFP tool has become an environment populated by a set of tools that support a more comprehensive approach to model-based reasoning. This paper continues by giving an overview of the graphical modeling objectives of the work, describing the three tools that now populate the KFP environment, briefly presenting a discussion of related work in the field, and by indicating future directions for the KFP environment.

  11. The Comparison of Problem-based Learning (PmBL) Model and Project-based Learning (PtBL) Model

    Microsoft Academic Search

    Jon-Chao Hong; Chan-Li Lin; Hui-Chin Huang

    Along with the growth of ICT application, the roles of teachers and students are changing from knowledge provider and acceptors to knowledge sharing and problem-solving. In this sense, problem-based learning (PmBL) and Project-based learning (PtBL) are incorporated into educational settings gradually to enhance the opportunities and mechanism of knowledge sharing. Nevertheless, there is confusion existed i n operating PtBL as

  12. Knowledge and Epistemology in Scholarship, Practice and Policy: Research-as-Science and Research-as-Project

    Microsoft Academic Search

    Peter Freebody; Lina Markauskaite; Jude Irwin

    \\u000a This chapter continues to set the scene for this volume by returning to the fundamental question of epistemology. How can\\u000a we informatively categorise the forms of research that currently seek to build knowledge and inform education\\u000a and social work\\u000a ? What vocabulary do we have that enables us to describe the different kinds of knowledge\\u000a \\u000a built and made available by

  13. The Washington Projection and Simulation Model: A Regional Interindustry Econometric Model

    Microsoft Academic Search

    Richard S. Conway

    1990-01-01

    Originally built in 1977, the Washington Projection and Simulation Model (WPSM) is a regional interindustry econometric model designed for forecasting and impact analysis. This article describes the most recent formulation of WPSM, analyzes the accuracy of the long-range forecasts prepared with the original model in 1976, and evaluates the model's simulation properties. The experience of developing and applying WPSM over

  14. Projection-based model reduction for contact problems

    E-print Network

    Balajewicz, Maciej; Farhat, Charbel

    2015-01-01

    Large scale finite element analysis requires model order reduction for computationally expensive applications such as optimization, parametric studies and control design. Although model reduction for nonlinear problems is an active area of research, a major hurdle is modeling and approximating contact problems. This manuscript introduces a projection-based model reduction approach for static and dynamic contact problems. In this approach, non-negative matrix factorization is utilized to optimally compress and strongly enforce positivity of contact forces in training simulation snapshots. Moreover, a greedy algorithm coupled with an error indicator is developed to efficiently construct parametrically robust low-order models. The proposed approach is successfully demonstrated for the model reduction of several two-dimensional elliptic and hyperbolic obstacle and self contact problems.

  15. The Process-Knowledge Model of Health Literacy: Evidence from a Componential Analysis of Two Commonly Used Measures

    PubMed Central

    Chin, Jessie; Morrow, Daniel G.; Stine-Morrow, Elizabeth A. L.; Conner-Garcia, Thembi; Graumlich, James F.; Murray, Michael D.

    2012-01-01

    We investigated the effects of domain-general processing capacity (fluid ability such as working memory), domain-general knowledge (crystallized ability such as vocabulary), and domain-specific health knowledge for two of the most commonly used measures of health literacy (S-TOFHLA and REALM). One hundred forty six community-dwelling older adults participated; 103 had been diagnosed with hypertension. The results showed that older adults who had higher levels of processing capacity or knowledge (domain-general or health) performed better on both of the health literacy measures. Processing capacity interacted with knowledge: Processing capacity had a lower level of association with health literacy for participants with more knowledge than for those with lower levels of knowledge, suggesting that knowledge may offset the effects of processing capacity limitations on health literacy. Furthermore, performance on the two health literacy measures appeared to reflect a different weighting for the three types of abilities. S-TOFHLA performance reflected processing capacity as well as general knowledge, whereas performance on the REALM depended more on general and health knowledge than on processing capacity. The findings support a process-knowledge model of health literacy among older adults, and have implications for selecting health literacy measures in various health care contexts. PMID:21951254

  16. The Python Project: A Unique Model for Extending Research Opportunities to Undergraduate Students

    PubMed Central

    Harvey, Pamela A.; Wall, Christopher; Luckey, Stephen W.; Langer, Stephen

    2014-01-01

    Undergraduate science education curricula are traditionally composed of didactic instruction with a small number of laboratory courses that provide introductory training in research techniques. Research on learning methodologies suggests this model is relatively ineffective, whereas participation in independent research projects promotes enhanced knowledge acquisition and improves retention of students in science. However, availability of faculty mentors and limited departmental budgets prevent the majority of students from participating in research. A need therefore exists for this important component in undergraduate education in both small and large university settings. A course was designed to provide students with the opportunity to engage in a research project in a classroom setting. Importantly, the course collaborates with a sponsor's laboratory, producing a symbiotic relationship between the classroom and the laboratory and an evolving course curriculum. Students conduct a novel gene expression study, with their collective data being relevant to the ongoing research project in the sponsor's lab. The success of this course was assessed based on the quality of the data produced by the students, student perception data, student learning gains, and on whether the course promoted interest in and preparation for careers in science. In this paper, we describe the strategies and outcomes of this course, which represents a model for efficiently providing research opportunities to undergraduates. PMID:25452492

  17. Pataha Creek Model Watershed : 1999 Habitat Conservation Projects.

    SciTech Connect

    Bartels, Duane G.

    2000-10-01

    The projects outlined in detail on the attached project reports are a summary of the many projects implemented in the Pataha Creek Model Watershed since it was selected as a model in 1993. Up until last year, demonstration sites using riparian fencing, off site watering facilities, tree and shrub plantings and upland conservation practices were used for information and education and was the main focus of the implementation phase of the watershed plan. These practices are the main focus of the watershed plan to reduce the majority of the sediment entering the stream. However, the watershed stream evaluation team used in the watershed analysis determined that there were problems along the Pataha Creek that needed to be addressed that would add further protection to the banks and therefore a further reduction of sedimentation into the stream. 1999 was a year where a focused effort was made to work on the upland conservation practices to reduce the sedimentation into Pataha Creek. Over 95% of the sediment entering the stream can be tied directly to the upland and riparian areas of the watershed. In stream work was not addressed this year because of the costs associated with these projects and the low impact of the sediment issue concerning Pataha Creeks impact on Chinook Salmon in the Tucannon River.

  18. Personal cancer knowledge and information seeking through PRISM: the planned risk information seeking model.

    PubMed

    Hovick, Shelly R; Kahlor, Leeann; Liang, Ming-Ching

    2014-04-01

    This study retested PRISM, a model of risk information seeking, and found that it is applicable to the context of cancer risk communication. The study, which used an online sample of 928 U.S. adults, also tested the effect of additional variables on that model and found that the original model better fit the data. Among the strongest predictors of cancer information seeking were seeking-related subjective norms, attitude toward seeking, perceived knowledge insufficiency, and affective risk response. Furthermore, risk perception was a strong predictor of an affective risk response. The authors suggest that, given the robustness across studies, the path between seeking-related subjective norms and seeking intention is ready to be implemented in communication practice. PMID:24433251

  19. GS3: A Knowledge Management Architecture for Collaborative Geologic Sequestration Modeling

    SciTech Connect

    Gorton, Ian; Black, Gary D.; Schuchardt, Karen L.; Sivaramakrishnan, Chandrika; Wurstner, Signe K.; Hui, Peter SY

    2010-01-10

    Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as groundwater, climate, and other environmental modeling as well as fundamental research in chemistry, physics, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations. In this paper we describe our efforts in creating a knowledge management platform to support collaborative, wide-scale studies in the area of geologic sequestration. The platform, known as GS3 (Geologic Sequestration Software Suite), exploits and integrates off-the-shelf software components including semantic wikis, content management systems and open source middleware to create the core architecture. We then extend the wiki environment to support the capture of provenance, the ability to incorporate various analysis tools, and the ability to launch simulations on supercomputers. The paper describes the key components of GS3 and demonstrates its use through illustrative examples. We conclude by assessing the suitability of our approach for geologic sequestration modeling and generalization to other scientific problem domains

  20. Fine Scale Projections of Indian Monsoonal Rainfall Using Statistical Models

    NASA Astrophysics Data System (ADS)

    Kulkarni, S.; Ghosh, S.; Rajendran, K.

    2012-12-01

    General Circulation models (GCMs) simulate climate variables globally accounting for the effects of green house emission; however, they mostly work in coarse resolutions and hence their performances for simulations of precipitation are not always reliable. To overcome this limitation we are using statistical techniques as downscaling methods for projecting precipitation as finer resolution (25 km grid approximately, 0.22° latitude x 0.22° longitude). Here we use conventional statistical downscaling where the relationship between predictor climate variables (other than precipitation) and precipitation are determined and then applied to GCM output for projections of precipitation. Kernel regression is used for developing the statistical relationship. The results are compared with interpolated, quantile based bias corrected GCM simulated precipitation output. Both the methodologies are applied to CMIP3 and CMIP5 simulations and the multi-model averaged (MMA) results are compared. The GCMs used are MRI, MIROC, BCCR, MPI, and CCCMA. We first evaluate the 20C3M simulations with the observed data, and we find that conventionally downscaled MMA simulations of CMIP5 do not show significant improvements over those of CMIP3, which suggests that there is no significant change in predictor simulations by the CMIP5 GCMs over those of CMIP3. However, when we do the same exercise with bias correction, we find bias corrected CMIP5 simulations are significantly improved. This shows that simulation of precipitation in Indian region for observed period has been improved with CMIP5 models. After validations, both the models are applied for future projections. It is observed that, though bias corrected models perform well for observed period, they simulate spatially uniform changes of precipitation in the entire country. The conventional downscaling method, involving predictors other than precipitation, simulates non uniform changes for future, which is similar to the trend of last 50 years of Indian precipitation pattern. The reason behind the failure of bias corrected model in projecting spatially non-uniform precipitation is the inability of the GCMs in modeling finer scale geophysical processes in changed condition. The results highlight the need to revisit the bias correction methods for future projections, to incorporate of finer scale processes.