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Sample records for mdp-based recommender system

  1. MDP-based resource allocation for triple-play transmission on xDSL systems

    NASA Astrophysics Data System (ADS)

    de Souza, Lamartine V.; de Carvalho, Glaucio H. S.; Cardoso, Diego L.; de Carvalho, Solon V.; Frances, Carlos R. L.; Costa, João C. W. A.; Riu, Jaume Rius i.

    2007-09-01

    Many broadband services are based on multimedia applications, such as voice over internet protocol (VoIP), video conferencing, video on demand (VoD), and internet protocol television (IPTV). The combination "triple-play" is often used with IPTV. It simply means offering voice, video and data. IPTV and others services uses digital broadband networks such as ADSL2+ (Asymmetric Digital Subscriber Line) and VDSL (Very High Rate DSL) to transmit the data. We have formulated a MDP (Markov Decision Process) for a triple-play transmission on DSL environment. In this paper, we establish the relationship between DSL transmission characteristics and its finite-state Markov model for a triple-play transmission system. This relationship can be used for a resource management for multimedia applications delivered through a broadband infrastructure. The solution to our optimization problem can be found using dynamic programming (DP) techniques, such as value iteration and its variants. Our study results in a transmission strategy that chooses the optimal resource allocation according the triple-play traffic requirements, defined in technical report TR-126 (Triple-Play Services Quality of Experience Requirements) from DSL Forum, minimizing quality of service (QoS) violations with respect to bandwidth. Three traffic classes (video, audio, and best effort internet data) are defined and analyzed. Our simulation results show parameters like as blocking probability for each class, link utilization and optimal control policies. The MDP-based approach provides a satisfactory way of resource management for a DSL system.

  2. Marginal gap, cement thickness, and microleakage of 2 zirconia crown systems luted with glass ionomer and MDP-based cements.

    PubMed

    Sener, Isil; Turker, Begum; Valandro, Luiz Felipe; Ozcan, Mutlu

    2014-01-01

    This in vitro study evaluated the marginal gap, cement thickness, and microleakage of glass-ionomer cement (GIC) and phosphate monomer-containing resin cement (MDP-RC) under 2 zirconia crown systems (Cercon and DC-Zirkon). Forty human premolars were prepared for all-ceramic zirconia crowns with a 1 mm circumferential finish line and a 1.5 mm occlusal reduction. The crowns (n = 10 per group) from each zirconia system were randomly divided into 2 groups and cemented either with GIC (Vivaglass CEM) or MDP-RC (Panavia F 2.0) cement. The cemented crowns were thermocycled 5000 times (5°-55°C). The crowns were immersed in 0.5% basic fuchsine dye solution for 24 hours and sectioned buccolingually and mesiodistally. Specimens were examined under optical microscope (100X). Data were analyzed using Student t-test and chi-square tests (α = 0.05). Mean marginal gap values for Cercon (85 ± 11.4 μm) were significantly higher than for DC-Zircon (75.3 ± 13.2 μm) (P = 0.018). The mean cement thickness values of GIC (81.7 ± 13.9 μm) and MDP-RC (78.5 ± 12.5 μm) were not significantly different (P = 0.447). Microleakage scores did not demonstrate significant difference between GIC (P = 0.385) and MDP-RC (P = 0.631) under Cercon or DC-Zircon. Considering the cement thickness values and microleakage scores obtained, both zirconia crown systems could be cemented in combination with either GIC or MDP-RC. PMID:24598500

  3. Recommender systems

    NASA Astrophysics Data System (ADS)

    Lü, Linyuan; Medo, Matúš; Yeung, Chi Ho; Zhang, Yi-Cheng; Zhang, Zi-Ke; Zhou, Tao

    2012-10-01

    The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has great scientific depth and combines diverse research fields which makes it interesting for physicists as well as interdisciplinary researchers.

  4. Distributed Deliberative Recommender Systems

    NASA Astrophysics Data System (ADS)

    Recio-García, Juan A.; Díaz-Agudo, Belén; González-Sanz, Sergio; Sanchez, Lara Quijano

    Case-Based Reasoning (CBR) is one of most successful applied AI technologies of recent years. Although many CBR systems reason locally on a previous experience base to solve new problems, in this paper we focus on distributed retrieval processes working on a network of collaborating CBR systems. In such systems, each node in a network of CBR agents collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. We describe D2ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jcolibritwo an established framework in the CBR community. We apply D2ISCO to one particular simplified type of CBR systems: recommender systems. We perform a first case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL and a network topology based on a social network. Besides individual recommendation we also discuss how D2ISCO can be used to improve recommendations to groups and we present a second case of study based on the movie recommendation domain with heterogeneous groups according to the group personality composition and a group topology based on a social network.

  5. Social Tagging Recommender Systems

    NASA Astrophysics Data System (ADS)

    Marinho, Leandro Balby; Nanopoulos, Alexandros; Schmidt-Thieme, Lars; Jäschke, Robert; Hotho, Andreas; Stumme, Gerd; Symeonidis, Panagiotis

    The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. Recommender Systems are well known applications for increasing the level of relevant content over the "noise" that continuously grows as more and more content becomes available online. In STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such as user, resource, and tag recommenders, (b) new approaches and algorithms for dealing with the ternary nature of STS data, and (c) recommender systems deployed in real world STS. Moreover, a concise comparison between existing works is presented, through which we identify and point out new research directions.

  6. Evaluating Recommendation Systems

    NASA Astrophysics Data System (ADS)

    Shani, Guy; Gunawardana, Asela

    Recommender systems are now popular both commercially and in the research community, where many approaches have been suggested for providing recommendations. In many cases a system designer that wishes to employ a recommendation system must choose between a set of candidate approaches. A first step towards selecting an appropriate algorithm is to decide which properties of the application to focus upon when making this choice. Indeed, recommendation systems have a variety of properties that may affect user experience, such as accuracy, robustness, scalability, and so forth. In this paper we discuss how to compare recommenders based on a set of properties that are relevant for the application. We focus on comparative studies, where a few algorithms are compared using some evaluation metric, rather than absolute benchmarking of algorithms. We describe experimental settings appropriate for making choices between algorithms. We review three types of experiments, starting with an offline setting, where recommendation approaches are compared without user interaction, then reviewing user studies, where a small group of subjects experiment with the system and report on the experience, and finally describe large scale online experiments, where real user populations interact with the system. In each of these cases we describe types of questions that can be answered, and suggest protocols for experimentation. We also discuss how to draw trustworthy conclusions from the conducted experiments. We then review a large set of properties, and explain how to evaluate systems given relevant properties. We also survey a large set of evaluation metrics in the context of the properties that they evaluate.

  7. Context-Aware Recommender Systems

    NASA Astrophysics Data System (ADS)

    Adomavicius, Gediminas; Tuzhilin, Alexander

    The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). In this chapter we argue that relevant contextual information does matter in recommender systems and that it is important to take this information into account when providing recommendations. We discuss the general notion of context and how it can be modeled in recommender systems. Furthermore, we introduce three different algorithmic paradigms - contextual prefiltering, post-filtering, and modeling - for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and provide a case study of one such combined approach. Finally, we present additional capabilities for context-aware recommenders and discuss important and promising directions for future research.

  8. Introduction on health recommender systems.

    PubMed

    Sanchez-Bocanegra, C L; Sanchez-Laguna, F; Sevillano, J L

    2015-01-01

    People are looking for appropriate health information which they are concerned about. The Internet is a great resource of this kind of information, but we have to be careful if we don't want to get harmful info. Health recommender systems are becoming a new wave for apt health information as systems suggest the best data according to the patients' needs.The main goals of health recommender systems are to retrieve trusted health information from the Internet, to analyse which is suitable for the user profile and select the best that can be recommended, to adapt their selection methods according to the knowledge domain and to learn from the best recommendations.A brief definition of recommender systems will be given and an explanation of how are they incorporated in the health sector. A description of the main elementary recommender methods as well as their most important problems will also be made. And, to finish, the state of the art will be described. PMID:25417084

  9. Ubiquitous Multicriteria Clinic Recommendation System.

    PubMed

    Chen, Toly

    2016-05-01

    Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant. PMID:26984357

  10. A Flexible Electronic Commerce Recommendation System

    NASA Astrophysics Data System (ADS)

    Gong, Songjie

    Recommendation systems have become very popular in E-commerce websites. Many of the largest commerce websites are already using recommender technologies to help their customers find products to purchase. An electronic commerce recommendation system learns from a customer and recommends products that the customer will find most valuable from among the available products. But most recommendation methods are hard-wired into the system and they support only fixed recommendations. This paper presented a framework of flexible electronic commerce recommendation system. The framework is composed by user model interface, recommendation engine, recommendation strategy model, recommendation technology group, user interest model and database interface. In the recommender strategy model, the method can be collaborative filtering, content-based filtering, mining associate rules method, knowledge-based filtering method or the mixed method. The system mapped the implementation and demand through strategy model, and the whole system would be design as standard parts to adapt to the change of the recommendation strategy.

  11. WRS: The Wikipedia Recommender System

    NASA Astrophysics Data System (ADS)

    Lefévre, Thomas; Jensen, Christian Damsgaard; Korsgaard, Thomas Rune

    In 2005, the Wikipedia became the most popular reference website on the Internet and it has continued to grow in size and popularity ever since. With the increasing reliance on the Wikipedia comes issues of the credibility and provenance of content. In order to address these issues, we have developed a Recommender System for the Wikipedia, which allows the users of the Wikipedia to rate articles in order to guide other users about the quality of articles. This rating system provides both an incentive for authors to improve articles and a quantifiable measure of the perceived quality of articles.

  12. Effect of silica coating combined to a MDP-based primer on the resin bond to Y-TZP ceramic.

    PubMed

    May, Liliana Gressler; Passos, Sheila Pestana; Capelli, Diana Barca; Ozcan, Mutlu; Bottino, Marco Antonio; Valandro, Luiz Felipe

    2010-10-01

    The aim of this study was to evaluate the influence of silica coating and 10-methacryloyloxydecyl dihydrogen phosphate (MDP)-based primer applications upon the bonding durability of a MDP-based resin cement to a yttrium stabilized tetragonal zirconia (Y-TZP) ceramic. Ninety-six Y-TZP tabs were embedded in an acrylic resin (free surface for adhesion: 5 × 5 mm(2)), ground finished and randomly divided into four groups (N = 24) according to the ceramic surface conditioning: (1) cleaning with isopropanol (ALC); (2) ALC + phosphoric acid etching + MDP-based primer application (MDP-primer); (3) silica coating + 3-methacryloyloxypropyl trimethoxysilane (MPS)-based coupling agent application (SiO2 + MPS-Sil); and (4) SiO2 + MDP-primer. The MDP-based resin cement was applied on the treated surface using a cylindrical mold (diameter= 3 mm). Half of the specimens from each surface conditioning were stored in distilled water (37 °C, 24 h) before testing. Another half of the specimens were stored (90 days) and thermo-cycled (12,000 x) during this period (90 d/TC) before testing. A shear bond strength (SBS) test was performed at a crosshead speed of 0.5 mm/min. Two factors composed the experimental design: ceramic conditioning strategy (in four levels) and storage condition (in two levels), totaling eight groups. After 90 d/TC (Tukey; p < 0.05), SiO2 + MDP-primer (24.40 MPa) promoted the highest SBS. The ALC and MDP-primer groups debonded spontaneously during 90 d/TC. Bonding values were higher and more stable in the SiO2 groups. The use of MDP-primer after silica coating increased the bond strength. PMID:20690176

  13. A Group Recommender System for Tourist Activities

    NASA Astrophysics Data System (ADS)

    Garcia, Inma; Sebastia, Laura; Onaindia, Eva; Guzman, Cesar

    This paper introduces a method for giving recommendations of tourist activities to a group of users. This method makes recommendations based on the group tastes, their demographic classification and the places visited by the users in former trips. The group recommendation is computed from individual personal recommendations through the use of techniques such as aggregation, intersection or incremental intersection. This method is implemented as an extension of the e-Tourism tool, which is a user-adapted tourism and leisure application, whose main component is the Generalist Recommender System Kernel (GRSK), a domain-independent taxonomy-driven search engine that manages the group recommendation.

  14. Group Recommender Systems: Combining Individual Models

    NASA Astrophysics Data System (ADS)

    Masthoff, Judith

    This chapter shows how a system can recommend to a group of users by aggregating information from individual user models and modelling the users affective state. It summarizes results from previous research in this area. It also shows how group recommendation techniques can be applied when recommending to individuals, in particular for solving the cold-start problem and dealing with multiple criteria.

  15. Social Manipulation of Online Recommender Systems

    NASA Astrophysics Data System (ADS)

    Lang, Juan; Spear, Matt; Wu, S. Felix

    Online recommender systems are a common target of attack. Existing research has focused on automated manipulation of recommender systems through the creation of shill accounts, and either do not consider attacks by coalitions of real users, downplay the impact of such attacks, or state that such attacks are difficult to impossible to detect. In this study, we examine a recommender system that is part of an online social network, show that users successfully induced other users to manipulate their recommendations, that these manipulations were effective, and that most such manipulations are detectable even when performed by ordinary, non-automated users.

  16. Uncovering the information core in recommender systems

    NASA Astrophysics Data System (ADS)

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-08-01

    With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.

  17. Uncovering the information core in recommender systems.

    PubMed

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-01-01

    With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified. PMID:25142186

  18. Uncovering the information core in recommender systems

    PubMed Central

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-01-01

    With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified. PMID:25142186

  19. Designing and Evaluating Explanations for Recommender Systems

    NASA Astrophysics Data System (ADS)

    Tintarev, Nava; Masthoff, Judith

    This chapter gives an overview of the area of explanations in recommender systems. We approach the literature from the angle of evaluation: that is, we are interested in what makes an explanation "good", and suggest guidelines as how to best evaluate this. We identify seven benefits that explanations may contribute to a recommender system, and relate them to criteria used in evaluations of explanations in existing systems, and how these relate to evaluations with live recommender systems. We also discuss how explanations can be affected by how recommendations are presented, and the role the interaction with the recommender system plays w.r.t. explanations. Finally, we describe a number of explanation styles, and how they may be related to the underlying algorithms. Examples of explanations in existing systems are mentioned throughout.

  20. A recommender system for prostate cancer websites.

    PubMed

    Witteman, Holly; Chignell, Mark; Krahn, Murray

    2008-01-01

    One of the challenges for people seeking health information online is the difficulty in locating health Websites that are personally relevant, credible and useful. We developed a Web-based recommender system in order to help address this problem in the context of prostate cancer. We are conducting an online randomized controlled trial to evaluate the accuracy of its recommendations and to compare the efficacy of content-based and collaborative filtering. PMID:18999034

  1. Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations

    NASA Astrophysics Data System (ADS)

    Yoo, Kyung-Hyan; Gretzel, Ulrike

    Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding the influence of source characteristics, which is abundant in the context of humanhuman relationships, can provide an important framework for identifying potential influence factors. This chapter reviews the existing literature on source characteristics in the context of human-human, human-computer, and human-recommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed.

  2. Mining Feedback in Ranking and Recommendation Systems

    ERIC Educational Resources Information Center

    Zhuang, Ziming

    2009-01-01

    The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems to address their information seeking needs. The advance in information technologies has enabled users to provide feedback on the utilities of the underlying ranking and recommendation…

  3. User Controllability in a Hybrid Recommender System

    ERIC Educational Resources Information Center

    Parra Santander, Denis Alejandro

    2013-01-01

    Since the introduction of Tapestry in 1990, research on recommender systems has traditionally focused on the development of algorithms whose goal is to increase the accuracy of predicting users' taste based on historical data. In the last decade, this research has diversified, with "human factors" being one area that has received…

  4. A recommender system for medical imaging diagnostic.

    PubMed

    Monteiro, Eriksson; Valente, Frederico; Costa, Carlos; Oliveira, José Luís

    2015-01-01

    The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that may help physicians in the diagnostic decision. PMID:25991188

  5. Finding Your Literature Match - A Recommender System

    NASA Astrophysics Data System (ADS)

    Henneken, Edwin A.; Kurtz, Michael J.; Accomazzi, Alberto; Grant, Carolyn; Thompson, Donna; Bohlen, Elizabeth; Di Milia, Giovanni; Luker, Jay; Murray, Stephen S.

    The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse. Hence, the need for accurate, efficient and intelligent search tools is bigger than ever. Even with a sophisticated search engine, looking for information can still result in overwhelming results. An overload of information has the intrinsic danger of scaring visitors away, and any organization, for-profit or not-for-profit, in the business of providing scholarly information wants to capture and keep the attention of its target audience. Publishers and search engine engineers alike will benefit from a service that is able to provide visitors with recommendations that closely meet their interests. Providing visitors with special deals, new options and highlights may be interesting to a certain degree, but what makes more sense (especially from a commercial point of view) than to let visitors do most of the work by the mere action of making choices? Hiring psychics is not an option, so a technological solution is needed to recommend items that a visitor is likely to be looking for. In this presentation we will introduce such a solution and argue that it is practically feasible to incorporate this approach into a useful addition to any information retrieval system with enough usage.

  6. Recommendations

    ERIC Educational Resources Information Center

    Brazelton, G. Blue; Renn, Kristen A.; Stewart, Dafina-Lazarus

    2015-01-01

    In this chapter, the editors provide a summary of the information shared in this sourcebook about the success of students who have minoritized identities of sexuality or gender and offer recommendations for policy, practice, and further research.

  7. weHelp: A Reference Architecture for Social Recommender Systems.

    PubMed

    Sheth, Swapneel; Arora, Nipun; Murphy, Christian; Kaiser, Gail

    2010-01-01

    Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems. PMID:25285237

  8. Towards Privacy Compliant and Anytime Recommender Systems

    NASA Astrophysics Data System (ADS)

    Brun, Armelle; Boyer, Anne

    Recommendation technologies have traditionally been used in domains such as E-commerce and Web navigation to recommend resources to customers so as to help them to get the pertinent resources. Among the possible approaches is collaborative filtering that does not take into account the content of the resources: only the traces of usage of the resources are considered. State of the art models, such as sequential association-rules and Markov models, that can be used in the frame of privacy concerns, are usually studied in terms of performance, state space complexity and time complexity. Many of them have a large time complexity and require a long time to compute recommendations. However, there are domains of application of the models where recommendations may be required quickly. This paper focuses on the study of how these state of the art models can be adapted so as to be anytime. In that case recommendations can be proposed to the user whatever is the computation time available, the quality of the recommendations increases according to the computation time. We show that such models can be adapted so as to be anytime and we propose several strategies to compute recommendations iteratively. We also show that the computation time needed by these new models is not increased compared to classical ones; even so, it sometimes decreases.

  9. Do recommender systems benefit users? a modeling approach

    NASA Astrophysics Data System (ADS)

    Yeung, Chi Ho

    2016-04-01

    Recommender systems are present in many web applications to guide purchase choices. They increase sales and benefit sellers, but whether they benefit customers by providing relevant products remains less explored. While in many cases the recommended products are relevant to users, in other cases customers may be tempted to purchase the products only because they are recommended. Here we introduce a model to examine the benefit of recommender systems for users, and find that recommendations from the system can be equivalent to random draws if one always follows the recommendations and seldom purchases according to his or her own preference. Nevertheless, with sufficient information about user preferences, recommendations become accurate and an abrupt transition to this accurate regime is observed for some of the studied algorithms. On the other hand, we find that high estimated accuracy indicated by common accuracy metrics is not necessarily equivalent to high real accuracy in matching users with products. This disagreement between estimated and real accuracy serves as an alarm for operators and researchers who evaluate recommender systems merely with accuracy metrics. We tested our model with a real dataset and observed similar behaviors. Finally, a recommendation approach with improved accuracy is suggested. These results imply that recommender systems can benefit users, but the more frequently a user purchases the recommended products, the less relevant the recommended products are in matching user taste.

  10. Modeling mutual feedback between users and recommender systems

    NASA Astrophysics Data System (ADS)

    Zeng, An; Yeung, Chi Ho; Medo, Matúš; Zhang, Yi-Cheng

    2015-07-01

    Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-term mutual feedback between a recommender system and the decisions of its users has been neglected so far. We propose here a model of network evolution which allows us to study the complex dynamics induced by this feedback, including the hysteresis effect which is typical for systems with non-linear dynamics. Despite the popular belief that recommendation helps users to discover new things, we find that the long-term use of recommendation can contribute to the rise of extremely popular items and thus ultimately narrow the user choice. These results are supported by measurements of the time evolution of item popularity inequality in real systems. We show that this adverse effect of recommendation can be tamed by sacrificing part of short-term recommendation accuracy.

  11. Deployment of Recommender Systems: Operational and Strategic Issues

    ERIC Educational Resources Information Center

    Ghoshal, Abhijeet

    2011-01-01

    E-commerce firms are increasingly adopting recommendation systems to effectively target customers with products and services. The first essay examines the impact that improving a recommender system has on firms that deploy such systems. A market with customers heterogeneous in their search costs is considered. We find that in a monopoly, a firm…

  12. A High Performance Content Based Recommender System Using Hypernym Expansion

    Energy Science and Technology Software Center (ESTSC)

    2015-10-20

    There are two major limitations in content-based recommender systems, the first is accurately measuring the similarity of preferred documents to a large set of general documents, and the second is over-specialization which limits the "interesting" documents recommended from a general document set. To address these issues, we propose combining linguistic methods and term frequency methods to improve overall performance and recommendation.

  13. Integrating Information Extraction Agents into a Tourism Recommender System

    NASA Astrophysics Data System (ADS)

    Esparcia, Sergio; Sánchez-Anguix, Víctor; Argente, Estefanía; García-Fornes, Ana; Julián, Vicente

    Recommender systems face some problems. On the one hand information needs to be maintained updated, which can result in a costly task if it is not performed automatically. On the other hand, it may be interesting to include third party services in the recommendation since they improve its quality. In this paper, we present an add-on for the Social-Net Tourism Recommender System that uses information extraction and natural language processing techniques in order to automatically extract and classify information from the Web. Its goal is to maintain the system updated and obtain information about third party services that are not offered by service providers inside the system.

  14. Ranked Tag Recommendation Systems Based on Logistic Regression

    NASA Astrophysics Data System (ADS)

    Quevedo, J. R.; Montañés, E.; Ranilla, J.; Díaz, I.

    This work proposes an approach to tag recommendation based on a logistic regression based system. The goal of the method is to support users of current social network systems by providing a rank of new meaningful tags for a resource. This system provides a ranked tag set and it feeds on different posts depending on the resource for which the user requests the recommendation. The performance of this approach is tested according to several evaluation measures, one of them proposed in this paper (F_1^+). The experiments show that this learning system outperforms certain benchmark recommenders.

  15. Recommended Practice for Securing Control System Modems

    SciTech Connect

    James R. Davidson; Jason L. Wright

    2008-01-01

    This paper addresses an often overlooked “backdoor” into critical infrastructure control systems created by modem connections. A modem’s connection to the public telephone system is similar to a corporate network connection to the Internet. By tracing typical attack paths into the system, this paper provides the reader with an analysis of the problem and then guides the reader through methods to evaluate existing modem security. Following the analysis, a series of methods for securing modems is provided. These methods are correlated to well-known networking security methods.

  16. A Communications System for Wyoming Libraries: A Study, with Recommendations.

    ERIC Educational Resources Information Center

    Bibliographical Center for Research - Rocky Mountain Region, Inc., Denver, CO.

    This is a feasibility study of a communications system for Wyoming libraries with recommendations for its installation. The basic recommendation calls upon the Wyoming State Library to undertake a demonstration project in rapid interlibrary communications, using teletype (TWX) facilities between selected libraries for a period commencing as soon…

  17. Promoting cold-start items in recommender systems.

    PubMed

    Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

    2014-01-01

    As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs. PMID:25479013

  18. Promoting Cold-Start Items in Recommender Systems

    PubMed Central

    Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

    2014-01-01

    As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs. PMID:25479013

  19. Social Interest for User Selecting Items in Recommender Systems

    NASA Astrophysics Data System (ADS)

    Nie, Da-Cheng; Ding, Ming-Jing; Fu, Yan; Zhou, Jun-Lin; Zhang, Zi-Ke

    2013-04-01

    Recommender systems have developed rapidly and successfully. The system aims to help users find relevant items from a potentially overwhelming set of choices. However, most of the existing recommender algorithms focused on the traditional user-item similarity computation, other than incorporating the social interests into the recommender systems. As we know, each user has their own preference field, they may influence their friends' preference in their expert field when considering the social interest on their friends' item collecting. In order to model this social interest, in this paper, we proposed a simple method to compute users' social interest on the specific items in the recommender systems, and then integrate this social interest with similarity preference. The experimental results on two real-world datasets Epinions and Friendfeed show that this method can significantly improve not only the algorithmic precision-accuracy but also the diversity-accuracy.

  20. Visualization and exploration for recommender systems in enterprise organization

    NASA Astrophysics Data System (ADS)

    Karni, Z.; Shapira, L.

    2013-03-01

    Recommender systems seek to predict the interest a user would find in an item, person or social element they had not yet considered, based upon the properties of the item, the user's past experience and similar users. However, recommended items are often presented to the user with no context and no ability to influence the results. We present a novel visualization technique for recommender systems in which, a user can see the items recommended for him, and understand why they were recommended. Focusing on a user, we render a planar visualization listing a set of recommended items. The items are organized such that similar items reside nearby on the screen, centered around realtime generated categories. We use a combination of iconography, text and tag clouds, with maximal use of screen real estate, and keep items from overlapping to produce our results. We apply our visualization to expert relevance maps in the enterprise and a book recommendation system for consumers. The latter is based on Shelfari, a social network for reading and books.

  1. Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender Systems

    NASA Astrophysics Data System (ADS)

    Li, Tao; Anand, Sarabjot S.

    The effectiveness of incorporating domain knowledge into recommender systems to address their sparseness problem and improve their prediction accuracy has been discussed in many research works. However, this technique is usually restrained in practice because of its high computational expense. Although cluster analysis can alleviate the computational complexity of the recommendation procedure, it is not satisfactory in preserving pair-wise item similarities, which would severely impair the recommendation quality. In this paper, we propose an efficient approach based on the technique of Automated Taxonomy Generation to exploit relational domain knowledge in recommender systems so as to achieve high system scalability and prediction accuracy. Based on the domain knowledge, a hierarchical data model is synthesized in an offline phase to preserve the original pairwise item similarities. The model is then used by online recommender systems to facilitate the similarity calculation and keep their recommendation quality comparable to those systems by means of real-time exploiting domain knowledge. Experiments were conducted upon real datasets to evaluate our approach.

  2. A Conceptual Framework for Evolving, Recommender Online Learning Systems

    ERIC Educational Resources Information Center

    Peiris, K. Dharini Amitha; Gallupe, R. Brent

    2012-01-01

    A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

  3. Determination of molecular species of calcium salts of MDP produced through decalcification of enamel and dentin by MDP-based one-step adhesive.

    PubMed

    Yokota, Yoko; Nishiyama, Norihiro

    2015-01-01

    Enamel and dentin particles were added to an experimental 10-methacryloyloxydecyl dihydrogen phosphate (MDP)-based one-step adhesive to react for 30 s. After enamel and dentin reactants were analyzed using X-ray diffraction (XRD) and phosphorus-31 nuclear magnetic resonance ((31)P NMR) techniques, curve-fitting analysis was performed on the (31)P NMR spectra of enamel and dentin reactants. By varying the molar ratio of calcium chloride to MDP, a series of three types of MDP-Ca salts were synthesized. The molecular species of calcium salts of MDP (MDP-Ca salts) produced by decalcification of enamel or dentin were determined based on the XRD and (31)P NMR analysis results of these three types of synthesized MDP-Ca salts. Curve-fitting analysis showed that enamel and dentin developed several types of MDP-Ca salts and amorphous dicalcium phosphate dihydrate (DCPD) during decalcification. The molecular species of MDP-Ca salts produced by enamel and dentin were mono-calcium salts of MDP monomer and MDP dimer. In addition, dentin produced a di-calcium of MDP dimer. PMID:25753080

  4. A Spatial User Similarity Measure for Geographic Recommender Systems

    NASA Astrophysics Data System (ADS)

    Matyas, Christian; Schlieder, Christoph

    Recommender systems solve an information filtering task. They suggest data objects that seem likely to be relevant to the user based upon previous choices that this user has made. A geographic recommender system recommends items from a library of georeferenced objects such as photographs of touristic sites. A widely-used approach to recommending consists in suggesting the most popular items within the user community. However, these approaches are not able to handle individual differences between users. We ask how to identify less popular geographic objects that are nevertheless of interest to a specific user. Our approach is based on user-based collaborative filtering in conjunction with an prototypical model of geographic places (heatmaps). We discuss four different measures of similarity between users that take into account the spatial semantic derived from the spatial behavior of a user community. We illustrate the method with a real-world use case: recommendations of georeferenced photographs from the public website Panoramio. The evaluation shows that our approach achieves a better recall and precision for the first ten items than recommendations based on the most popular geographic items.

  5. Solving the apparent diversity-accuracy dilemma of recommender systems

    PubMed Central

    Zhou, Tao; Kuscsik, Zoltán; Liu, Jian-Guo; Medo, Matúš; Wakeling, Joseph Rushton; Zhang, Yi-Cheng

    2010-01-01

    Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are to be found among diverse niche objects, the most reliably accurate results are obtained by methods that recommend objects based on user or object similarity. In this paper we introduce a new algorithm specifically to address the challenge of diversity and show how it can be used to resolve this apparent dilemma when combined in an elegant hybrid with an accuracy-focused algorithm. By tuning the hybrid appropriately we are able to obtain, without relying on any semantic or context-specific information, simultaneous gains in both accuracy and diversity of recommendations. PMID:20176968

  6. A Decision Fusion Framework for Treatment Recommendation Systems.

    PubMed

    Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin

    2015-01-01

    Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation. PMID:26262059

  7. Solving the apparent diversity-accuracy dilemma of recommender systems.

    PubMed

    Zhou, Tao; Kuscsik, Zoltán; Liu, Jian-Guo; Medo, Matús; Wakeling, Joseph Rushton; Zhang, Yi-Cheng

    2010-03-01

    Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are to be found among diverse niche objects, the most reliably accurate results are obtained by methods that recommend objects based on user or object similarity. In this paper we introduce a new algorithm specifically to address the challenge of diversity and show how it can be used to resolve this apparent dilemma when combined in an elegant hybrid with an accuracy-focused algorithm. By tuning the hybrid appropriately we are able to obtain, without relying on any semantic or context-specific information, simultaneous gains in both accuracy and diversity of recommendations. PMID:20176968

  8. TrustRank: a Cold-Start tolerant recommender system

    NASA Astrophysics Data System (ADS)

    Zou, Haitao; Gong, Zhiguo; Zhang, Nan; Zhao, Wei; Guo, Jingzhi

    2015-02-01

    The explosive growth of the World Wide Web leads to the fast advancing development of e-commerce techniques. Recommender systems, which use personalised information filtering techniques to generate a set of items suitable to a given user, have received considerable attention. User- and item-based algorithms are two popular techniques for the design of recommender systems. These two algorithms are known to have Cold-Start problems, i.e., they are unable to effectively handle Cold-Start users who have an extremely limited number of purchase records. In this paper, we develop TrustRank, a novel recommender system which handles the Cold-Start problem by leveraging the user-trust networks which are commonly available for e-commerce applications. A user-trust network is formed by friendships or trust relationships that users specify among them. While it is straightforward to conjecture that a user-trust network is helpful for improving the accuracy of recommendations, a key challenge for using user-trust network to facilitate Cold-Start users is that these users also tend to have a very limited number of trust relationships. To address this challenge, we propose a pre-processing propagation of the Cold-Start users' trust network. In particular, by applying the personalised PageRank algorithm, we expand the friends of a given user to include others with similar purchase records to his/her original friends. To make this propagation algorithm scalable to a large amount of users, as required by real-world recommender systems, we devise an iterative computation algorithm of the original personalised TrustRank which can incrementally compute trust vectors for Cold-Start users. We conduct extensive experiments to demonstrate the consistently improvement provided by our proposed algorithm over the existing recommender algorithms on the accuracy of recommendations for Cold-Start users.

  9. Outcome-driven Evaluation Metrics for Treatment Recommendation Systems.

    PubMed

    Mei, Jing; Liu, Haifeng; Li, Xiang; Yu, Yiqin; Xie, Guotong

    2015-01-01

    Treatment recommendation systems aim to providing clinical decision supports, e.g. with integration of Computerized Physician Order Entry (CPOE). One of the most significant issue is the quality of recommendations which needs to be quantified, before getting the acceptance from physicians. In computer science, such evaluations are typically performed by applying appropriate metrics that provides a comparison of different systems. However, a big challenge for evaluating treatment recommendation systems is that ground truth is only partially observed. In this paper, we propose an outcome-driven evaluation methodology, and present five metrics (i.e. precision, recall, accuracy, relative risk and odds ratio) with highlight of their statistic meanings in clinical context. The experimental results are based on the comparison of two well-developed treatment recommendation systems (one is knowledge-driven and based on clinical practice guidelines, while the other is data-driven and based on patient similarity analysis), using our proposed evaluation metrics. As a conclusion, physicians are less prone to comply with clinical guidelines, but once following guideline recommendations, it is much more likely to get good outcomes than not following. PMID:25991128

  10. Anti-folksonomical Recommender System for Social Bookmarking Service

    NASA Astrophysics Data System (ADS)

    Sasaki, Akira; Miyata, Takamichi; Inazumi, Yasuhiro; Kobayashi, Aki; Sakai, Yoshinori

    Social bookmarking has been in the spotlight recently. Social bookmarking allows users to add several keywords called tags to items they bookmarked. Many previous works on social bookmarking using actual words for tags, called folksonomy, have come out. However, essential information of tags is in the classification of items by tags. Based on this assumption, we propose an anti-folksonomical recommendation system for calculating similarities between groups of items classified according to tags. In addition, we use hypothesis testing to improve these similarities based on statistical reliability. The experimental results show that our proposed system provides an appropriate recommendation result even if users tagged with different keywords.

  11. Research of Optimized Agricultural Information Collaborative Filtering Recommendation Systems

    NASA Astrophysics Data System (ADS)

    Kui, Fang; Juan, Wang; Weiqiong, Bu

    The problems of information overload and resource disorientation which is caused by information explosion become more serious, especially for lots of farmers, who know little computer technologies. In order to provide information and knowledge conveniently, timely and efficiently to farmers, researchers do studies on recommendations system. In this paper, key technologies in recommender system are introduced. we provide a solution that construct a non-missing data user evaluation matrix through the clustering of the items. Addressing the differences in farmers' rating behavior, before making predictions, we normalize the user evaluation matrix.

  12. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges

    PubMed Central

    Wiesner, Martin; Pfeifer, Daniel

    2014-01-01

    During the last decades huge amounts of data have been collected in clinical databases representing patients' health states (e.g., as laboratory results, treatment plans, medical reports). Hence, digital information available for patient-oriented decision making has increased drastically but is often scattered across different sites. As as solution, personal health record systems (PHRS) are meant to centralize an individual's health data and to allow access for the owner as well as for authorized health professionals. Yet, expert-oriented language, complex interrelations of medical facts and information overload in general pose major obstacles for patients to understand their own record and to draw adequate conclusions. In this context, recommender systems may supply patients with additional laymen-friendly information helping to better comprehend their health status as represented by their record. However, such systems must be adapted to cope with the specific requirements in the health domain in order to deliver highly relevant information for patients. They are referred to as health recommender systems (HRS). In this article we give an introduction to health recommender systems and explain why they are a useful enhancement to PHR solutions. Basic concepts and scenarios are discussed and a first implementation is presented. In addition, we outline an evaluation approach for such a system, which is supported by medical experts. The construction of a test collection for case-related recommendations is described. Finally, challenges and open issues are discussed. PMID:24595212

  13. Sales Records Based Recommender System for TPO-Goods

    NASA Astrophysics Data System (ADS)

    Saga, Ryosuke; Tsuji, Hiroshi

    This paper presents a recommender system for TPO (Time, Place, and Occasion)-dependent goods. The TPO-dependent goods have three features: many attributes, multiformity, and high-frequency update. In order to recommend alternatives of the goods, our system (a) abstracts and metrizes the user's preference implied in sales records, and (b) filters massive alternatives by three kinds of methods: High-Angle Search, Low-Angle Search and Neighbor Search. Additionally, this paper describes the improvement method of the recommendation accuracy by memory-based reasoning with user's preference to latter two kinds of search. The numerical simulation for 10,000 user's data and 400,000 sales records has shown their accuracy.

  14. Achieving Optimal Privacy in Trust-Aware Social Recommender Systems

    NASA Astrophysics Data System (ADS)

    Dokoohaki, Nima; Kaleli, Cihan; Polat, Huseyin; Matskin, Mihhail

    Collaborative filtering (CF) recommenders are subject to numerous shortcomings such as centralized processing, vulnerability to shilling attacks, and most important of all privacy. To overcome these obstacles, researchers proposed for utilization of interpersonal trust between users, to alleviate many of these crucial shortcomings. Till now, attention has been mainly paid to strong points about trust-aware recommenders such as alleviating profile sparsity or calculation cost efficiency, while least attention has been paid on investigating the notion of privacy surrounding the disclosure of individual ratings and most importantly protection of trust computation across social networks forming the backbone of these systems. To contribute to addressing problem of privacy in trust-aware recommenders, within this paper, first we introduce a framework for enabling privacy-preserving trust-aware recommendation generation. While trust mechanism aims at elevating recommender's accuracy, to preserve privacy, accuracy of the system needs to be decreased. Since within this context, privacy and accuracy are conflicting goals we show that a Pareto set can be found as an optimal setting for both privacy-preserving and trust-enabling mechanisms. We show that this Pareto set, when used as the configuration for measuring the accuracy of base collaborative filtering engine, yields an optimized tradeoff between conflicting goals of privacy and accuracy. We prove this concept along with applicability of our framework by experimenting with accuracy and privacy factors, and we show through experiment how such optimal set can be inferred.

  15. RECOMMENDED SUB-SLAB DEPRESSURIZATION SYSTEMS DESIGN CRITERIA

    EPA Science Inventory

    The report recommends sub-slab depressurization systems design criteria to the State of Florida's Department of Community Affairs for their building code for radon resistant houses. Numerous details are set forth in the full report. Primary criteria include: (1) the operating soi...

  16. Recommended Practice for Patch Management of Control Systems

    SciTech Connect

    Steven Tom; Dale Christiansen; Dan Berrett

    2008-12-01

    A key component in protecting a nation’s critical infrastructure and key resources is the security of control systems. The term industrial control system refers to supervisory control and data acquisition, process control, distributed control, and any other systems that control, monitor, and manage the nation’s critical infrastructure. Critical Infrastructure and Key Resources (CIKR) consists of electric power generators, transmission systems, transportation systems, dam and water systems, communication systems, chemical and petroleum systems, and other critical systems that cannot tolerate sudden interruptions in service. Simply stated, a control system gathers information and then performs a function based on its established parameters and the information it receives. The patch management of industrial control systems software used in CIKR is inconsistent at best and nonexistent at worst. Patches are important to resolve security vulnerabilities and functional issues. This report recommends patch management practices for consideration and deployment by industrial control systems owners.

  17. Content-based Music Search and Recommendation System

    NASA Astrophysics Data System (ADS)

    Takegawa, Kazuki; Hijikata, Yoshinori; Nishida, Shogo

    Recently, the turn volume of music data on the Internet has increased rapidly. This has increased the user's cost to find music data suiting their preference from such a large data set. We propose a content-based music search and recommendation system. This system has an interface for searching and finding music data and an interface for editing a user profile which is necessary for music recommendation. By exploiting the visualization of the feature space of music and the visualization of the user profile, the user can search music data and edit the user profile. Furthermore, by exploiting the infomation which can be acquired from each visualized object in a mutually complementary manner, we make it easier for the user to search music data and edit the user profile. Concretely, the system gives to the user an information obtained from the user profile when searching music data and an information obtained from the feature space of music when editing the user profile.

  18. Music recommendation system for biofied building considering multiple residents

    NASA Astrophysics Data System (ADS)

    Ito, Takahiro; Mita, Akira

    2012-04-01

    This research presents a music recommendation system based on multiple users' communication excitement and productivity. Evaluation is conducted on following two points. 1, Does songA recommended by the system improve the situation of dropped down communication excitement? 2, Does songB recommended by the system improve the situation of dropped down and productivity of collaborative work? The objective of this system is to recommend songs which shall improve the situation of dropped down communication excitement and productivity. Songs are characterized according to three aspects; familiarity, relaxing and BPM(Beat Per Minutes). Communication excitement is calculated from speech data obtained by an audio sensor. Productivity of collaborative brainstorming is manually calculated by the number of time-series key words during mind mapping. First experiment was music impression experiment to 118 students. Based on 1, average points of familiarity, relaxing and BPM 2, cronbach alpha factor, songA(high familiarity, high relaxing and high BPM song) and songB(high familiarity, high relaxing and low BPM) are selected. Exploratory experiment defined dropped down communication excitement and dropped down and productivity of collaborative work. Final experiment was conducted to 32 first meeting students divided into 8 groups. First 4 groups had mind mapping 1 while listening to songA, then had mind mapping 2 while listening songB. Following 4 groups had mind mapping 1 while listening to songB, then had mind mapping 2 while listening songA. Fianl experiment shows two results. Firstly, ratio of communication excitement between music listening section and whole brain storming is 1.27. Secondly, this system increases 69% of average productivity.

  19. Applications of CCSDS recommendations to Integrated Ground Data Systems (IGDS)

    NASA Technical Reports Server (NTRS)

    Mizuta, Hiroshi; Martin, Daniel; Kato, Hatsuhiko; Ihara, Hirokazu

    1993-01-01

    This paper describes an application of the CCSDS Principle Network (CPH) service model to communications network elements of a postulated Integrated Ground Data System (IGDS). Functions are drawn principally from COSMICS (Cosmic Information and Control System), an integrated space control infrastructure, and the Earth Observing System Data and Information System (EOSDIS) Core System (ECS). From functional requirements, this paper derives a set of five communications network partitions which, taken together, support proposed space control infrastructures and data distribution systems. Our functional analysis indicates that the five network partitions derived in this paper should effectively interconnect the users, centers, processors, and other architectural elements of an IGDS. This paper illustrates a useful application of the CCSDS (Consultive Committee for Space Data Systems) Recommendations to ground data system development.

  20. Initial CTBT international monitoring system security findings and recommendations

    SciTech Connect

    Craft, R.L.; Draelos, T.J.

    1996-08-01

    An initial security evaluation of the proposed International Monitoring System (IMS) suggests safeguards at various points in the IMS to provide reliable information to the user community. Modeling the IMS as a network of information processing nodes provides a suitable architecture for assessing data surety needs of the system. The recommendations in this paper include the use of public-key authentication for data from monitoring stations and for commands issued to monitoring stations. Other monitoring station safeguards include tamper protection of sensor subsystems, preservation of data (i.e. short-term archival), and limiting the station`s network services. The recommendations for NDCs focus on the need to provide a backup to the IDC for data archival and data routing. Safeguards suggested for the IDC center on issues of reliability. The production of event bulletins should employ {open_quotes}two-man{close_quotes} procedures. As long as the data maintains its integrity, event bulletins can be produced by NDCs as well. The effective use of data authentication requires a sound key management system. Key management systems must be developed for the authentication of data, commands, and event bulletins if necessary. It is recommended that the trust placed in key management be distributed among multiple parties. The recommendations found in this paper offer safeguards for identified vulnerabilities in the IMS with regard to data surety. However, several outstanding security issues still exist. These issues include the need to formalize and obtain a consensus on a threat model and a trust model for the IMS. The final outstanding security issue that requires in-depth analysis concerns the IDC as a potential single point of failure in the current IMS design.

  1. The IAU 2000 Recommendations on Reference Systems and their Application

    NASA Astrophysics Data System (ADS)

    Capitaine, N.; McCarthy, D. D.

    2004-05-01

    Resolutions adopted by the International Astronomical Union (IAU) in 2000 recommend significant improvements in the definition of the International Celestial Reference System and the procedures to be used in its realization. These recommendations correspond with the unprecedented observational accuracy that is now achievable in accessing the reference system, and deal with relativistic considerations, an improved precession-nutation formulation, and more rigorous definitions of the pole and equatorial origin of the reference system. The International Earth Rotation Service (IERS) has implemented these recommendations and maintains the necessary software and data files to allow the astronomical and geodetic communities to use them. It also continues to provide the data necessary to implement the previous definitions. These recommendations are not only addressed to the specialized astronomical community that deals with the realization or maintenance of reference systems, time scales, celestial mechanics and high accuracy astrometry. They have consequences for the whole astronomical community as they relate to the IAU precession-nutation model, the definition of Universal Time and its relationship to sidereal time and the abandonment of the intermediary reference to the ecliptic and equinox. At its 2003 General Assembly the IAU established working groups to finalize the implementation of the 2000 resolutions, namely (1) to standardize the associated new nomenclature and (2) to formulate a dynamical expression for precession consistent with the IAU 2000 precession-nutation formulation. This talk explains the reasons for these resolutions, describes their consequences for astronomers and provides the current status of their implementation. It also reports on the latest international discussions on nomenclature and educational efforts.

  2. TDA Assessment of Recommendations for Space Data System Standards

    NASA Technical Reports Server (NTRS)

    Posner, E. C.; Stevens, R.

    1984-01-01

    NASA is participating in the development of international standards for space data systems. Recommendations for standards thus far developed are assessed. The proposed standards for telemetry coding and packet telemetry provide worthwhile benefit to the DSN; their cost impact to the DSN should be small. Because of their advantage to the NASA space exploration program, their adoption should be supported by TDA, JPL, and OSTDS.

  3. I should not recommend it to you even if you will like it: the ethics of recommender systems

    NASA Astrophysics Data System (ADS)

    Tang, Tiffany Ya; Winoto, Pinata

    2016-01-01

    In this paper, we extend the current research in the recommendation system community by showing that users did attach ethical consideration to items. In an experiment (N = 111) that manipulated several moral factors regarding the potentially harmful content in movies, books, and games, users were asked to evaluate the appropriateness of recommending these items to teenagers and adult couples. Results agreed with previous studies in that gender plays a key role in making moral judgment, especially regarding the ethical appropriateness of an item. The pilot study further identifies degrees of aversion regarding the appeal of these elements in media for ethical recommendations. Based on the study, we propose a user-initiated ethical recommender system to help users pick up morally appropriate items during the post-recommendation process. We believe that the ethical appropriateness of items perceived by end users could predict the trust and credibility of the system.

  4. The Power of Ground User in Recommender Systems

    PubMed Central

    Zhou, Yanbo; Lü, Linyuan; Liu, Weiping; Zhang, Jianlin

    2013-01-01

    Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD) and heat conduction (HC) processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC), it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC) by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity. PMID:23936380

  5. The power of ground user in recommender systems.

    PubMed

    Zhou, Yanbo; Lü, Linyuan; Liu, Weiping; Zhang, Jianlin

    2013-01-01

    Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD) and heat conduction (HC) processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC), it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC) by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity. PMID:23936380

  6. Recommendations of the workshop on advanced geothermal drilling systems

    SciTech Connect

    Glowka, D.A.

    1997-12-01

    At the request of the U.S. Department of Energy, Office of Geothermal Technologies, Sandia National Laboratories convened a group of drilling experts in Berkeley, CA, on April 15-16, 1997, to discuss advanced geothermal drilling systems. The objective of the workshop was to develop one or more conceptual designs for an advanced geothermal drilling system that meets all of the criteria necessary to drill a model geothermal well. The drilling process was divided into ten essential functions. Each function was examined, and discussions were held on the conventional methods used to accomplish each function and the problems commonly encountered. Alternative methods of performing each function were then listed and evaluated by the group. Alternative methods considered feasible or at least worth further investigation were identified, while methods considered impractical or not potentially cost-saving were eliminated from further discussion. This report summarizes the recommendations of the workshop participants. For each of the ten functions, the conventional methods, common problems, and recommended alternative technologies and methods are listed. Each recommended alternative is discussed, and a description is given of the process by which this information will be used by the U.S. DOE to develop an advanced geothermal drilling research program.

  7. Combination of evidence in recommendation systems characterized by distance functions

    SciTech Connect

    Rocha, L. M.

    2002-01-01

    Recommendation systems for different Document Networks (DN) such as the World Wide Web (WWW), Digitnl Libarries, or Scientific Databases, often make use of distance functions extracted from relationships among documents and between documents and semantic tags. For instance, documents In the WWW are related via a hyperlink network, while documents in bibliographic databases are related by citation and collaboration networks.Furthermore, documents can be related to semantic tags such as keywords used to describe their content, The distance functions computed from these relations establish associative networks among items of the DN, and allow recommendation systems to identify relevant associations for iudividoal users. The process of recommendation can be improved by integrating associative data from different sources. Thus we are presented with a problem of combining evidence (about assochaons between items) from different sonrces characterized by distance functions. In this paper we summarize our work on (1) inferring associations from semi-metric distance functions and (2) combining evidence from different (distance) associative DN.

  8. A manual of recommended practices for hydrogen energy systems

    SciTech Connect

    Hoagland, W.; Leach, S.

    1997-12-31

    Technologies for the production, distribution, and use of hydrogen are rapidly maturing and the number and size of demonstration programs designed to showcase emerging hydrogen energy systems is expanding. The success of these programs is key to hydrogen commercialization. Currently there is no comprehensive set of widely-accepted codes or standards covering the installation and operation of hydrogen energy systems. This lack of codes or standards is a major obstacle to future hydrogen demonstrations in obtaining the requisite licenses, permits, insurance, and public acceptance. In a project begun in late 1996 to address this problem, W. Hoagland and Associates has been developing a Manual of Recommended Practices for Hydrogen Systems intended to serve as an interim document for the design and operation of hydrogen demonstration projects. It will also serve as a starting point for some of the needed standard-setting processes. The Manual will include design guidelines for hydrogen procedures, case studies of experience at existing hydrogen demonstration projects, a bibliography of information sources, and a compilation of suppliers of hydrogen equipment and hardware. Following extensive professional review, final publication will occur later in 1997. The primary goal is to develop a draft document in the shortest possible time frame. To accomplish this, the input and guidance of technology developers, industrial organizations, government R and D and regulatory organizations and others will be sought to define the organization and content of the draft Manual, gather and evaluate available information, develop a draft document, coordinate reviews and revisions, and develop recommendations for publication, distribution, and update of the final document. The workshop, Development of a Manual of Recommended Practices for Hydrogen Energy Systems, conducted on March 11, 1997 in Alexandria, Virginia, was a first step.

  9. Gulf of Mexico Helicopter Offshore System Technologies Recommended Development Path

    NASA Technical Reports Server (NTRS)

    Koenke, Edmund J.; Williams, Larry; Calafa, Caesar

    1999-01-01

    The National Aeronautics and Space Administration (NASA) Advanced Air Transportation Technologies (AATT) project in cooperation with the Department of Transportation (DOT) Volpe National Transportation Systems Center (VNTSC) contracted with the System Resources Corporation (SRC) for the evaluation of the existing environment and the identification of user and service provider needs in the Gulf of Mexico low-altitude Offshore Sector. The results of this contractor activity are reported in the Gulf of Mexico Helicopter Offshore System Technologies Engineering Needs Assessment. A recommended system design and transition strategy was then developed to satisfy the identified needs within the constraints of the environment. This work, also performed under contract to NASA, is the subject of this report.

  10. Overall Ventilation System Flow Network Calculation for Site Recommendation

    SciTech Connect

    Jeff J. Steinhoff

    2001-08-02

    The scope of this calculation is to determine ventilation system resistances, pressure drops, airflows, and operating cost estimates for the Site Recommendation (SR) design as detailed in the ''Site Recommendation Subsurface Layout'' (BSC (Bechtel SAIC Company) 2001a). The statutory limit for emplacement of waste in Yucca Mountain is 70,000 metric tons of uranium (MTU) and is considered the base case for this report. The objective is to determine the overall repository system ventilation flow network for the monitoring phase during normal operations and to provide a basis for the system description document design descriptions. Any values derived from this calculation will not be used to support construction, fabrication, or procurement. The work scope is identified in the ''Technical Work Plan for Subsurface Design Section FY01 Work Activities'' (CRWMS M&O 2001, pp. 6 and 13). In accordance with the technical work plan this calculation was prepared in accordance with AP-3.12Q, ''Calculations'' and other procedures invoked by AP-3.12Q. It also incorporates the procedure AP-SI1.Q, ''Software Management''.

  11. Dynamics of movie competition and popularity spreading in recommender systems.

    PubMed

    Yeung, C H; Cimini, G; Jin, C-H

    2011-01-01

    We introduce a simple model to study movie competition in recommender systems. Movies of heterogeneous quality compete against each other through viewers' reviews and generate interesting dynamics at the box office. By assuming mean-field interactions between the competing movies, we show that the runaway effect of popularity spreading is triggered by defeating the average review score, leading to box-office hits: Popularity rises and peaks before fade-out. The average review score thus characterizes the critical movie quality necessary for transition from box-office bombs to blockbusters. The major factors affecting the critical review score are examined. By iterating the mean-field dynamical equations, we obtain qualitative agreements with simulations and real systems in the dynamical box-office forms, revealing the significant role of competition in understanding box-office dynamics. PMID:21405742

  12. Dynamics of movie competition and popularity spreading in recommender systems

    NASA Astrophysics Data System (ADS)

    Yeung, C. H.; Cimini, G.; Jin, C.-H.

    2011-01-01

    We introduce a simple model to study movie competition in recommender systems. Movies of heterogeneous quality compete against each other through viewers’ reviews and generate interesting dynamics at the box office. By assuming mean-field interactions between the competing movies, we show that the runaway effect of popularity spreading is triggered by defeating the average review score, leading to box-office hits: Popularity rises and peaks before fade-out. The average review score thus characterizes the critical movie quality necessary for transition from box-office bombs to blockbusters. The major factors affecting the critical review score are examined. By iterating the mean-field dynamical equations, we obtain qualitative agreements with simulations and real systems in the dynamical box-office forms, revealing the significant role of competition in understanding box-office dynamics.

  13. Method and system of filtering and recommending documents

    DOEpatents

    Patton, Robert M.; Potok, Thomas E.

    2016-02-09

    Disclosed is a method and system for discovering documents using a computer and providing a small set of the most relevant documents to the attention of a human observer. Using the method, the computer obtains a seed document from the user and generates a seed document vector using term frequency-inverse corpus frequency weighting. A keyword index for a plurality of source documents can be compared with the weighted terms of the seed document vector. The comparison is then filtered to reduce the number of documents, which define an initial subset of the source documents. Initial subset vectors are generated and compared to the seed document vector to obtain a similarity value for each comparison. Based on the similarity value, the method then recommends one or more of the source documents.

  14. Numerical investigation and recommendations for push-pull ventilation systems.

    PubMed

    Chern, Ming-Jyh; Ma, Chen-Hsuan

    2007-03-01

    This study presents numerical simulations of push-pull ventilation systems. A push-pull system is a device commonly used in capturing pollutants from large tanks used in industrial chemical processes. An air jet is blown from one side of a tank and collected by an exhaust hood on the opposite side of the tank. In this study, a finite volume model coupled with the standard k -epsilon turbulent model is employed to describe the flow structures and characteristics. Moreover, the turbulence mass transfer equation is adopted to show the concentration distribution above the open surface tank. All the flow fields can be classified according to four dominant modes, i.e., dispersion, transition, encapsulation, and strong suction. The push and pull flow velocities should be adjusted into encapsulation and strong suction modes to ensure all pollutants can be captured by the exhaust hood. Other geometric parameters such as the flange size, pull-channel size, offset distance, etc., also influence the flow characteristics. For a variety of lengths of tanks and pollutant evaporation velocities, the push and pull flow velocity must be matched to achieve optimal operation. Furthermore, the flange size and other parameters are determined to enhance the capture efficiency of the push-pull system. Recommendations for design guidelines are introduced in this study. PMID:17237024

  15. Exploiting context in kernel-mapping recommender system algorithms

    NASA Astrophysics Data System (ADS)

    Ghazanfar, Mustansar Ali; Prϋgel-Bennett, Adam

    2013-12-01

    Making e ective recommendations from a domain consisting of millions of ratings is a major research challenge in the application of machine learning. Kernel Mapping Recommender (KMR) algorithms have been proposed providing state-of-the-art performance. In this paper, we show how context information can be added to KMR algorithms. We consider the trusted friends of a user as their social context and show how this information can be used to provide more personalised, refined, and trustworthy recommendations. The limited set of friends; however, restricts the amount of data available to create useful recommendations. This paper sheds light on this issue and specifically on the amount of friends necessary to get satisfactory recommendations.

  16. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

    PubMed Central

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented. PMID:27069468

  17. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

    PubMed

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented. PMID:27069468

  18. Recommended Practice: Creating Cyber Forensics Plans for Control Systems

    SciTech Connect

    Eric Cornelius; Mark Fabro

    2008-08-01

    issues and to accommodate for the diversity in both system and architecture types, a framework based in recommended practices to address forensics in the control systems domain is required. This framework must be fully flexible to allow for deployment into any control systems environment regardless of technologies used. Moreover, the framework and practices must provide for direction on the integration of modern network security technologies with traditionally closed systems, the result being a true defense-in-depth strategy for control systems architectures. This document takes the traditional concepts of cyber forensics and forensics engineering and provides direction regarding augmentation for control systems operational environments. The goal is to provide guidance to the reader with specifics relating to the complexity of cyber forensics for control systems, guidance to allow organizations to create a self-sustaining cyber forensics program, and guidance to support the maintenance and evolution of such programs. As the current control systems cyber security community of interest is without any specific direction on how to proceed with forensics in control systems environments, this information product is intended to be a first step.

  19. Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

    NASA Astrophysics Data System (ADS)

    Mihai, Gabroveanu

    2015-09-01

    Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

  20. The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System

    ERIC Educational Resources Information Center

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2011-01-01

    One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

  1. Healthcare information systems: data mining methods in the creation of a clinical recommender system

    NASA Astrophysics Data System (ADS)

    Duan, L.; Street, W. N.; Xu, E.

    2011-05-01

    Recommender systems have been extensively studied to present items, such as movies, music and books that are likely of interest to the user. Researchers have indicated that integrated medical information systems are becoming an essential part of the modern healthcare systems. Such systems have evolved to an integrated enterprise-wide system. In particular, such systems are considered as a type of enterprise information systems or ERP system addressing healthcare industry sector needs. As part of efforts, nursing care plan recommender systems can provide clinical decision support, nursing education, clinical quality control, and serve as a complement to existing practice guidelines. We propose to use correlations among nursing diagnoses, outcomes and interventions to create a recommender system for constructing nursing care plans. In the current study, we used nursing diagnosis data to develop the methodology. Our system utilises a prefix-tree structure common in itemset mining to construct a ranked list of suggested care plan items based on previously-entered items. Unlike common commercial systems, our system makes sequential recommendations based on user interaction, modifying a ranked list of suggested items at each step in care plan construction. We rank items based on traditional association-rule measures such as support and confidence, as well as a novel measure that anticipates which selections might improve the quality of future rankings. Since the multi-step nature of our recommendations presents problems for traditional evaluation measures, we also present a new evaluation method based on average ranking position and use it to test the effectiveness of different recommendation strategies.

  2. A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence.

    PubMed

    Alphy, Anna; Prabakaran, S

    2015-01-01

    In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations. PMID:26229978

  3. A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence

    PubMed Central

    Alphy, Anna; Prabakaran, S.

    2015-01-01

    In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations. PMID:26229978

  4. A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment

    NASA Astrophysics Data System (ADS)

    Bambini, Riccardo; Cremonesi, Paolo; Turrin, Roberto

    In this chapter we describe the integration of a recommender system into the production environment of Fastweb, one of the largest European IP Television (IPTV) providers. The recommender system implements both collaborative and content-based techniques, suitable tailored to the specific requirements of an IPTV architecture, such as the limited screen definition, the reduced navigation capabilities, and the strict time constraints. The algorithms are extensively analyzed by means of off-line and on-line tests, showing the effectiveness of the recommender systems: up to 30% of the recommendations are followed by a purchase, with an estimated lift factor (increase in sales) of 15%.

  5. An Ontology-Based Tourism Recommender System Based on Spreading Activation Model

    NASA Astrophysics Data System (ADS)

    Bahramian, Z.; Abbaspour, R. Ali

    2015-12-01

    A tourist has time and budget limitations; hence, he needs to select points of interest (POIs) optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences. In this paper, a new travel recommender system is proposed to overcome information overload problem. A recommender system (RS) evaluates the overwhelming number of POIs and provides personalized recommendations to users based on their preferences. A content-based recommendation system is proposed, which uses the information about the user's preferences and POIs and calculates a degree of similarity between them. It selects POIs, which have highest similarity with the user's preferences. The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs. The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component. User's feedback adapts the user's preferences using Spreading Activation (SA) strategy. It shows the proposed recommender system is effective and improves the overall performance of the traditional content-based recommender systems.

  6. The SAPO Campus Recommender System: A Study about Students' and Teachers' Opinions

    ERIC Educational Resources Information Center

    Pedro, Luís; Santos, Carlos; Almeida, Sara Filipa; Ramos, Fernando; Moreira, António; Almeida, Margarida; Antunes, Maria João

    2014-01-01

    This paper aims to assess the relevance and usefulness of the SAPO Campus recommender system, through the analysis of students' and teachers' opinions. Recommender systems, assuming a "technology-driven" approach, have been designed with the primary goal of predicting user interests based on the implicit analysis of their…

  7. Hardware performance assessment recommendations and tools for baropodometric sensor systems.

    PubMed

    Giacomozzi, Claudia

    2010-01-01

    Accurate plantar pressure measurements are mandatory in both clinical and research contexts. Differences in accuracy, precision, reliability of pressure measurement devices (PMDs) prevented so far the onset of standardization processes and of reliable reference datasets. The Italian National Institute of Health (ISS) approved and conducted a scientific project aimed to design, validate and implement dedicated testing methods for both in-factory and on-the-field PMD assessment. A general-purpose experimental set-up was built, complete and suitable for the assessment of PMDs based on different sensor technology, electronic conditioning and mechanical solutions. Preliminary assessments have been conducted on 5 commercial PMDs. The study lead to the definition of: i) an appropriate set of instruments and procedures for PMD technical assessment; ii) a minimum set of significant parameters for the technical characterization of the PMD performance; iii) some recommendations to both manufacturers and end users for an appropriate use in clinics and in research context. PMID:20567067

  8. Content-based Recommender Systems: State of the Art and Trends

    NASA Astrophysics Data System (ADS)

    Lops, Pasquale; de Gemmis, Marco; Semeraro, Giovanni

    Recommender systems have the effect of guiding users in a personalized way to interesting objects in a large space of possible options. Content-based recommendation systems try to recommend items similar to those a given user has liked in the past. Indeed, the basic process performed by a content-based recommender consists in matching up the attributes of a user profile in which preferences and interests are stored, with the attributes of a content object (item), in order to recommend to the user new interesting items. This chapter provides an overview of content-based recommender systems, with the aim of imposing a degree of order on the diversity of the different aspects involved in their design and implementation. The first part of the chapter presents the basic concepts and terminology of contentbased recommender systems, a high level architecture, and their main advantages and drawbacks. The second part of the chapter provides a review of the state of the art of systems adopted in several application domains, by thoroughly describing both classical and advanced techniques for representing items and user profiles. The most widely adopted techniques for learning user profiles are also presented. The last part of the chapter discusses trends and future research which might lead towards the next generation of systems, by describing the role of User Generated Content as a way for taking into account evolving vocabularies, and the challenge of feeding users with serendipitous recommendations, that is to say surprisingly interesting items that they might not have otherwise discovered.

  9. Strategic Defense System distributed operating system R D (research and development) review and recommendations. Final report

    SciTech Connect

    Gordon, K.D.; Linn, C.J.

    1989-04-01

    The Strategic Defense System (SDS) imposes a set of requirements on distributed operating systems that is not met by state-of-the-art systems. In this paper, the key requirements are identified as being real-time support, reliability/fault tolerance, and security. The extent to which these requirements are being addressed by current distributed operating system research is discussed. The three distributed operating system projects that are currently receiving SDIO funds - Alpha, Cronus, and Mach - are reviewed. A fourth project, the V-distributed system project of Stanford University, is also highlighted, because of its unique potential for meeting certain SDS needs. Recommendations on the directions in which the SDIO should pursue each of these projects are made. The Office of Naval Research (ONR) Real-Time Computing Initiative, which is addressing some issues critical to the development of the SDS, is described. It is recommended that the SDIO seek to coordinate with the ONR in this effort. The appendix to this paper provides detailed descriptions of the Alpha, Cronus, Mach, and V-distributed operating system projects, as well as three other projects noted in the body of the paper: Amoeba, Clouds, and the Heterogeneous Computer Systems (HCS) Project.

  10. Tutoring the Elderly on the Use of Recommending Systems

    ERIC Educational Resources Information Center

    Savvopoulos, Anastasios; Virvou, Maria

    2010-01-01

    Purpose: The elderly are often unfamiliar with computer technology and can encounter great difficulties. Moreover, the terms used in such systems may prove to be a challenge for these users. The aim of this research is to tutor the elderly on using an adaptive e-shop system in order to buy products easily. Design/methodology/approach: In view of…

  11. E-Learning Activity-Based Material Recommendation System

    ERIC Educational Resources Information Center

    Liu, Feng-jung; Shih, Bai-jiun

    2007-01-01

    Purpose: Computer based systems have great potential for delivering learning material. However, problems are encountered, such as: difficulty of Learning resource sharing, high redundancy of learning material, and deficiency of the course brief. In order to solve these problems, this paper aims to propose an automatic inquiring system for learning…

  12. Round table part 6: Recommendations for system studies

    NASA Astrophysics Data System (ADS)

    Lasseur, Christophe; Tikhomirov, Alexander A.; Wheeler, Raymond; Dussap, Gilles; Godia, Francesc

    2016-07-01

    Depending of each mission scenario and associated requirements the ECLSS architecture will have to be studied and elaborated. Depending of the degree of closure and mission duration, which are often link the degree of stability and robustness will be became crucial. It is clear today that if the metrics exists on many space agencies ( e.g. ESM, ALiSSE,..), the sub-systems process often miss a minimum degree of characterization requested for proper system model. These part 6 is aiming to be a platform of discussion on the current world wide investigations related to system studies and to allow synergies and collaborations.

  13. SemCiR: A Citation Recommendation System Based on a Novel Semantic Distance Measure

    ERIC Educational Resources Information Center

    Zarrinkalam, Fattane; Kahani, Mohsen

    2013-01-01

    Purpose: The purpose of this paper is to propose a novel citation recommendation system that inputs a text and recommends publications that should be cited by it. Its goal is to help researchers in finding related works. Further, this paper seeks to explore the effect of using relational features in addition to textual features on the quality of…

  14. Integrated Adult Education Data System. Policy Option Paper on Strategic Recommendation 8. First Edition.

    ERIC Educational Resources Information Center

    Porter, Dennis

    This document addresses the recommendation contained in the 1989 California Strategic Plan for Adult Education for an integrated adult education data system. The recommendation proposes collecting and organizing community adult education information into groups of data on: program services, program delivery, learner characteristics, and learning…

  15. Towards Small-Sized Long Tail Business with the Dual-Directed Recommendation System

    NASA Astrophysics Data System (ADS)

    Takahashi, Masakazu; Yamada, Takashi; Tsuda, Kazuhiko; Terano, Takao

    This paper describes a novel architecture to promote retail businesses using information recommendation systems. The main features of the architecture are 1) Dual-directed Recommendation system, 2) Portal site for three kinds of users: Producers, Retailers, and Consumers, which are considered to be Prosumers, and 3) Agent-based implementation. We have developed a web-based system DAIKOC (Dynamic Advisor for Information and Knowledge Oriented Communities) with the above architecture. In this paper, we focus on the recommendation functions to extract the items that will achieve the large sales in the future from the ID (IDentification)-POS (Point-Of-Sales) data.

  16. Expert system verification and validation survey. Delivery 3: Recommendations

    NASA Technical Reports Server (NTRS)

    1990-01-01

    The purpose is to determine the state-of-the-practice in Verification and Validation (V and V) of Expert Systems (ESs) on current NASA and Industry applications. This is the first task of a series which has the ultimate purpose of ensuring that adequate ES V and V tools and techniques are available for Space Station Knowledge Based Systems development. The strategy for determining the state-of-the-practice is to check how well each of the known ES V and V issues are being addressed and to what extent they have impacted the development of ESs.

  17. An Instructional and Collaborative Learning System with Content Recommendation

    ERIC Educational Resources Information Center

    Zheng, Xiang-wei; Ma, Hong-wei; Li, Yan

    2013-01-01

    With the rapid development of Internet, e-learning has become a new teaching and learning mode. However, lots of e-learning systems deployed on Internet are just electronic learning materials with very limited interactivity and diagnostic capability. This paper presents an integrated e-learning environment named iCLSR. Firstly, iCLSR provides an…

  18. WIPP shaft seal system parameters recommended to support compliance calculations

    SciTech Connect

    Hurtado, L.D.; Knowles, M.K.; Kelley, V.A.; Jones, T.L.; Ogintz, J.B.; Pfeifle, T.W.

    1997-12-01

    The US Department of Energy plans to dispose of transuranic waste at the Waste Isolation Pilot Plant (WIPP), which is sited in southeastern New Mexico. The WIPP disposal facility is located approximately 2,150 feet (650 m) below surface in the bedded halite of the Salado Formation. Prior to initiation of disposal activities, the Department of Energy must demonstrate that the WIPP will comply with all regulatory requirements. Applicable regulations require that contaminant releases from the WIPP remain below specified levels for a period of 10,000 years. To demonstrate that the WIPP will comply with these regulations, the Department of Energy has requested that Sandia National Laboratories develop and implement a comprehensive performance assessment of the WIPP repository for the regulatory period. This document presents the conceptual model of the shaft sealing system to be implemented in performance assessment calculations conducted in support of the Compliance Certification Application for the WIPP. The model was developed for use in repository-scale calculations and includes the seal system geometry and materials to be used in grid development as well as all parameters needed to describe the seal materials. These calculations predict the hydrologic behavior of the system. Hence conceptual model development is limited to those processes that could impact the fluid flow through the seal system.

  19. Consumers’ intention to use health recommendation systems to receive personalized nutrition advice

    PubMed Central

    2013-01-01

    Background Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. Methods 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. Results We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. Conclusions We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to

  20. Management approach recommendations. Earth Observatory Satellite system definition study (EOS)

    NASA Technical Reports Server (NTRS)

    1974-01-01

    Management analyses and tradeoffs were performed to determine the most cost effective management approach for the Earth Observatory Satellite (EOS) Phase C/D. The basic objectives of the management approach are identified. Some of the subjects considered are as follows: (1) contract startup phase, (2) project management control system, (3) configuration management, (4) quality control and reliability engineering requirements, and (5) the parts procurement program.

  1. Towards Collaborative Filtering Recommender Systems for Tailored Health Communications

    PubMed Central

    Marlin, Benjamin M.; Adams, Roy J.; Sadasivam, Rajani; Houston, Thomas K.

    2013-01-01

    The goal of computer tailored health communications (CTHC) is to promote healthy behaviors by sending messages tailored to individual patients. Current CTHC systems collect baseline patient “profiles” and then use expert-written, rule-based systems to target messages to subsets of patients. Our main interest in this work is the study of collaborative filtering-based CTHC systems that can learn to tailor future message selections to individual patients based explicit feedback about past message selections. This paper reports the results of a study designed to collect explicit feedback (ratings) regarding four aspects of messages from 100 subjects in the smoking cessation support domain. Our results show that most users have positive opinions of most messages and that the ratings for all four aspects of the messages are highly correlated with each other. Finally, we conduct a range of rating prediction experiments comparing several different model variations. Our results show that predicting future ratings based on each user’s past ratings contributes the most to predictive accuracy. PMID:24551430

  2. Towards collaborative filtering recommender systems for tailored health communications.

    PubMed

    Marlin, Benjamin M; Adams, Roy J; Sadasivam, Rajani; Houston, Thomas K

    2013-01-01

    The goal of computer tailored health communications (CTHC) is to promote healthy behaviors by sending messages tailored to individual patients. Current CTHC systems collect baseline patient "profiles" and then use expert-written, rule-based systems to target messages to subsets of patients. Our main interest in this work is the study of collaborative filtering-based CTHC systems that can learn to tailor future message selections to individual patients based explicit feedback about past message selections. This paper reports the results of a study designed to collect explicit feedback (ratings) regarding four aspects of messages from 100 subjects in the smoking cessation support domain. Our results show that most users have positive opinions of most messages and that the ratings for all four aspects of the messages are highly correlated with each other. Finally, we conduct a range of rating prediction experiments comparing several different model variations. Our results show that predicting future ratings based on each user's past ratings contributes the most to predictive accuracy. PMID:24551430

  3. 75 FR 64389 - Proposed Recommendation to the Social Security Administration for Occupational Information System...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-19

    ... From the Federal Register Online via the Government Publishing Office ] SOCIAL SECURITY ADMINISTRATION Proposed Recommendation to the Social Security Administration for Occupational Information System (OIS) Development Planning; Request for Comment AGENCY: Social Security Administration. ACTION:...

  4. Concept of "One Window" Data Exchange System Fulfilling the Recommendation for e-Navigation System

    NASA Astrophysics Data System (ADS)

    Filipkowski, Damian; Wawruch, Ryszard

    The implementation in maritime radio-communication of so called "One window concept" for exchange of information between a ship and a port and coastal state authorities requires designation of one contact point on shore for these purposes, e.g. harbour master or ships' monitoring or traffic control centre. In Poland, as contact points regional and local centres of the Polish National Maritime Safety System will be designated. Paper describes the proposal for system of data exchange between a ship and a shore contact point, containing definition, functions and architecture of proposed system, possible directions of information flow and levels of access, fulfilling requirements of this concept and recommendation for e-navigation system developed on the basis of the International Maritime Organization (IMO) and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) working papers.

  5. Concept Systems and Ontologies: Recommendations for Basic Terminology

    PubMed Central

    Klein, Gunnar O.; Smith, Barry

    2011-01-01

    Summary This essay concerns the problems surrounding the use of the term “concept” in current ontology and terminology research. It is based on the constructive dialogue between realist ontology on the one hand and the world of formal standardization of health informatics on the other, but its conclusions are not restricted to the domain of medicine. The term “concept” is one of the most misused even in literature and technical standards which attempt to bring clarity. In this paper we propose to use the term “concept” in the context of producing defined professional terminologies with one specific and consistent meaning which we propose for adoption as the agreed meaning of the term in future terminological research, and specifically in the development of formal terminologies to be used in computer systems. We also discuss and propose new definitions of a set of cognate terms. We describe the relations governing the realm of concepts, and compare these to the richer and more complex set of relations obtaining between entities in the real world. On this basis we also summarize an associated terminology for ontologies as representations of the real world and a partial mapping between the world of concepts and the world of reality. PMID:21308002

  6. On Recommending.

    ERIC Educational Resources Information Center

    Furner, Jonathan

    2002-01-01

    Discusses recommendation, or preference ordering, in document retrieval systems that ranks documents in order of the likelihood with which they match the preferences of any person searching the system. Describes the ERIn (Evaluation-Recommendation-Information) model, a decision-theoretic framework for understanding information-related activity…

  7. Constructing compact and effective graphs for recommender systems via node and edge aggregations

    SciTech Connect

    Lee, Sangkeun; Kahng, Minsuk; Lee, Sang-goo

    2014-12-10

    Exploiting graphs for recommender systems has great potential to flexibly incorporate heterogeneous information for producing better recommendation results. As our baseline approach, we first introduce a naive graph-based recommendation method, which operates with a heterogeneous log-metadata graph constructed from user log and content metadata databases. Although the na ve graph-based recommendation method is simple, it allows us to take advantages of heterogeneous information and shows promising flexibility and recommendation accuracy. However, it often leads to extensive processing time due to the sheer size of the graphs constructed from entire user log and content metadata databases. In this paper, we propose node and edge aggregation approaches to constructing compact and e ective graphs called Factor-Item bipartite graphs by aggregating nodes and edges of a log-metadata graph. Furthermore, experimental results using real world datasets indicate that our approach can significantly reduce the size of graphs exploited for recommender systems without sacrificing the recommendation quality.

  8. Constructing compact and effective graphs for recommender systems via node and edge aggregations

    DOE PAGESBeta

    Lee, Sangkeun; Kahng, Minsuk; Lee, Sang-goo

    2014-12-10

    Exploiting graphs for recommender systems has great potential to flexibly incorporate heterogeneous information for producing better recommendation results. As our baseline approach, we first introduce a naive graph-based recommendation method, which operates with a heterogeneous log-metadata graph constructed from user log and content metadata databases. Although the na ve graph-based recommendation method is simple, it allows us to take advantages of heterogeneous information and shows promising flexibility and recommendation accuracy. However, it often leads to extensive processing time due to the sheer size of the graphs constructed from entire user log and content metadata databases. In this paper, we proposemore » node and edge aggregation approaches to constructing compact and e ective graphs called Factor-Item bipartite graphs by aggregating nodes and edges of a log-metadata graph. Furthermore, experimental results using real world datasets indicate that our approach can significantly reduce the size of graphs exploited for recommender systems without sacrificing the recommendation quality.« less

  9. A scalable and practical one-pass clustering algorithm for recommender system

    NASA Astrophysics Data System (ADS)

    Khalid, Asra; Ghazanfar, Mustansar Ali; Azam, Awais; Alahmari, Saad Ali

    2015-12-01

    KMeans clustering-based recommendation algorithms have been proposed claiming to increase the scalability of recommender systems. One potential drawback of these algorithms is that they perform training offline and hence cannot accommodate the incremental updates with the arrival of new data, making them unsuitable for the dynamic environments. From this line of research, a new clustering algorithm called One-Pass is proposed, which is a simple, fast, and accurate. We show empirically that the proposed algorithm outperforms K-Means in terms of recommendation and training time while maintaining a good level of accuracy.

  10. Application of Recommended Design Practices for Conceptual Nuclear Fusion Space Propulsion Systems

    NASA Technical Reports Server (NTRS)

    Williams, Craig H.

    2004-01-01

    An AIAA Special Project Report was recently produced by AIAA's Nuclear and Future Flight Propulsion Technical Committee and is currently in peer review. The Report provides recommended design practices for conceptual engineering studies of nuclear fusion space propulsion systems. Discussion and recommendations are made on key topics including design reference missions, degree of technological extrapolation and concomitant risk, thoroughness in calculating mass properties (nominal mass properties, weight-growth contingency and propellant margins, and specific impulse), and thoroughness in calculating power generation and usage (power-flow, power contingencies, specific power). The report represents a general consensus of the nuclear fusion space propulsion system conceptual design community and proposes 15 recommendations. This paper expands on the Report by providing specific examples illustrating how to apply each of the recommendations.

  11. A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks

    NASA Astrophysics Data System (ADS)

    Gonzalo-Alonso, Jorge; de Juan, Paloma; Garcí-A-Hortelano, Elena; Iglesias, Carlos Á.

    Recommender systems are based mainly on collaborative filtering algorithms, which only use the ratings given by the users to the products. When context is taken into account, there might be difficulties when it comes to making recommendations to users who are placed in a context other than the usual one, since their preferences will not correlate with the preferences of those in the new context. In this paper, a hybrid collaborative filtering model is proposed, which provides recommendations based on the context of the travelling users. A combination of a user-based collaborative filtering method and a semantic-based one has been used. Contextual recommendation may be applied in multiple social networks that are spreading world-wide. The resulting system has been tested over 11870.com, a good example of a social network where context is a primary concern.

  12. Factors influencing intentions to use social recommender systems: a social exchange perspective.

    PubMed

    Chang, Tsung-Sheng; Hsiao, Wei-Hung

    2013-05-01

    This study employs the perspective of social exchange theory and seeks to understand users' intentions to use social recommender systems (SRS) through three psychological factors: trust, shared values, and reputation. We use structural equation modeling to analyze 221 valid questionnaires. The results show that trust has a direct positive influence on the intention to use SRS, followed by shared values, whereas reputation has an indirect influence on SRS use. We further discuss specific recommendations concerning these factors for developing SRS. PMID:23374171

  13. Recommended Policies and Practices for Advancing Indiana's System of Adult Education and Workforce Training

    ERIC Educational Resources Information Center

    National Center for Higher Education Management Systems (NJ1), 2009

    2009-01-01

    With generous support from the Lilly Endowment, the Indiana Chamber has contracted with National Center for Higher Education Management Systems (NCHEMS) to provide a policy framework and specific recommendations for improving the system of adult education and workforce training in Indiana--building on the important initiatives that have already…

  14. Using a Recommender System and Hyperwave Attributes To Augment an Electronic Resource Library.

    ERIC Educational Resources Information Center

    Fenn, B.; Lennon, J.

    There has been increasing interest over the past few years in systems that help users exchange recommendations about World Wide Web documents. Programs have ranged from those that rely totally on user pre-selection, to others that are based on artificial intelligence. This paper proposes a system that falls between these two extremes, providing…

  15. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

    ERIC Educational Resources Information Center

    Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E.

    2012-01-01

    Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…

  16. A novel video recommendation system based on efficient retrieval of human actions

    NASA Astrophysics Data System (ADS)

    Ramezani, Mohsen; Yaghmaee, Farzin

    2016-09-01

    In recent years, fast growth of online video sharing eventuated new issues such as helping users to find their requirements in an efficient way. Hence, Recommender Systems (RSs) are used to find the users' most favorite items. Finding these items relies on items or users similarities. Though, many factors like sparsity and cold start user impress the recommendation quality. In some systems, attached tags are used for searching items (e.g. videos) as personalized recommendation. Different views, incomplete and inaccurate tags etc. can weaken the performance of these systems. Considering the advancement of computer vision techniques can help improving RSs. To this end, content based search can be used for finding items (here, videos are considered). In such systems, a video is taken from the user to find and recommend a list of most similar videos to the query one. Due to relating most videos to humans, we present a novel low complex scalable method to recommend videos based on the model of included action. This method has recourse to human action retrieval approaches. For modeling human actions, some interest points are extracted from each action and their motion information are used to compute the action representation. Moreover, a fuzzy dissimilarity measure is presented to compare videos for ranking them. The experimental results on HMDB, UCFYT, UCF sport and KTH datasets illustrated that, in most cases, the proposed method can reach better results than most used methods.

  17. An Improved Hybrid Recommender System Using Multi-Based Clustering Method

    NASA Astrophysics Data System (ADS)

    Puntheeranurak, Sutheera; Tsuji, Hidekazu

    Recommender systems have become an important research area as they provide some kind of intelligent web techniques to search through the enormous volume of information available on the internet. Content-based filtering and collaborative filtering methods are the most widely recommendation techniques adopted to date. Each of them has both advantages and disadvantages in providing high quality recommendations therefore a hybrid recommendation mechanism incorporating components from both of these methods would yield satisfactory results in many situations. In this paper, we present an elegant and effective framework for combining content-based filtering and collaborative filtering methods. Our approach clusters on user information and item information for content-based filtering to enhance existing user data and item data. Based on the result from the first step, we calculate the predicted rating data for collaborative filtering. We then do cluster on predicted rating data in the last step to enhance the scalability of our proposed system. We call our proposal multi-based clustering method. We show that our proposed system can solve a cold start problem, a sparsity problem, suitable for various situations in real-life applications. It thus contributes to the improvement of prediction quality of a hybrid recommender system as shown in the experimental results.

  18. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.

    SciTech Connect

    Peters, Valerie A.; Ogilvie, Alistair; Veers, Paul S.

    2009-09-01

    This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a list of the data needed to support reliability and availability analysis, and gives specific recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of fielded wind turbines. This report is intended to help the reader develop a basic understanding of what data are needed from a Computerized Maintenance Management System (CMMS) and other data systems, for reliability analysis. The report provides: (1) a list of the data needed to support reliability and availability analysis; and (2) specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and a wider variety of analysis and reporting needs.

  19. E-book recommender system design and implementation based on data mining

    NASA Astrophysics Data System (ADS)

    Wang, Zongjiang

    2011-12-01

    In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. This paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.

  20. N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering

    PubMed Central

    Ullah, Farman; Lee, Sungchang

    2014-01-01

    This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running. N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. For N-screen aware recommendation support, this work introduces a user device profile collaboration agent, manager, and N-screen control server to acquire and manage the user N-screen devices profile. Furthermore, a multicriteria hybrid framework is suggested that incorporates the N-screen devices information with user preferences and demographics. In addition, we propose an individual feature and subspace weight based clustering (IFSWC) to assign different weights to each subspace and each feature within a subspace in the hybrid framework. The proposed system improves the accuracy, precision, scalability, sparsity, and cold start issues. The simulation results demonstrate the effectiveness and prove the aforementioned statements. PMID:25152921

  1. N-screen aware multicriteria hybrid recommender system using weight based subspace clustering.

    PubMed

    Ullah, Farman; Sarwar, Ghulam; Lee, Sungchang

    2014-01-01

    This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running. N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. For N-screen aware recommendation support, this work introduces a user device profile collaboration agent, manager, and N-screen control server to acquire and manage the user N-screen devices profile. Furthermore, a multicriteria hybrid framework is suggested that incorporates the N-screen devices information with user preferences and demographics. In addition, we propose an individual feature and subspace weight based clustering (IFSWC) to assign different weights to each subspace and each feature within a subspace in the hybrid framework. The proposed system improves the accuracy, precision, scalability, sparsity, and cold start issues. The simulation results demonstrate the effectiveness and prove the aforementioned statements. PMID:25152921

  2. Electromagnetic pulse research on electric power systems: Program summary and recommendations. Power Systems Technology Program

    SciTech Connect

    Barnes, P.R.; McConnell, B.W.; Van Dyke, J.W.; Tesche, F.M.; Vance, E.F.

    1993-01-01

    A single nuclear detonation several hundred kilometers above the central United States will subject much of the nation to a high-altitude electromagnetic pulse (BENT). This pulse consists of an intense steep-front, short-duration transient electromagnetic field, followed by a geomagnetic disturbance with tens of seconds duration. This latter environment is referred to as the magnetohydrodynamic electromagnetic pulse (NMENT). Both the early-time transient and the geomagnetic disturbance could impact the operation of the nation`s power systems. Since 1983, the US Department of Energy has been actively pursuing a research program to assess the potential impacts of one or more BENT events on the nation`s electric energy supply. This report summarizes the results of that program and provides recommendations for enhancing power system reliability under HENT conditions. A nominal HENP environment suitable for assessing geographically large systems was developed during the program and is briefly described in this report. This environment was used to provide a realistic indication of BEMP impacts on electric power systems. It was found that a single high-altitude burst, which could significantly disturb the geomagnetic field, may cause the interconnected power network to break up into utility islands with massive power failures in some areas. However, permanent damage would be isolated, and restoration should be possible within a few hours. Multiple bursts would likely increase the blackout areas, component failures, and restoration time. However, a long-term blackout of many months is unlikely because major power system components, such as transformers, are not likely to be damaged by the nominal HEND environment. Moreover, power system reliability, under both HENT and normal operating conditions, can be enhanced by simple, and often low cost, modifications to current utility practices.

  3. Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration

    NASA Astrophysics Data System (ADS)

    Pitsilis, Georgios

    Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of building networks of trusted users using the existing evidence that would be provided by a standard recommender system. As there is lack of models today that could help in finding the relationship between trust and similarity we build our own that uses a set of empirical equations to map similarity metrics into Subjective Logic trust. In this paper we perform evaluation of the proposed model as being a part of a complete recommender system. Finally, we present the interesting results from this evaluation that shows the performance and benefits of our trust modeling technique as well as its impact on the user community as it evolves over time.

  4. Consultative Committee for Space Data Systems recommendation for space data system standards: Telecommand. Part 2.1: Command operation procedures

    NASA Technical Reports Server (NTRS)

    1991-01-01

    This recommendation contains the detailed specification of the logic required to carry out the Command Operations Procedures of the Transfer Layer. The Recommendation for Telecommand--Part 2, Data Routing Service contains the standard data structures and data communication procedures used by the intermediate telecommand system layers (the Transfer and Segmentation Layers). In particular, it contains a brief description of the Command Operations Procedures (COP) within the Transfer Layer. This recommendation contains the detailed definition of the COP's in the form of state tables, along with definitions of the terms used. It is assumed that the reader of this document is familiar with the data structures and terminology of part 2. In case of conflict between the description of the COP's in part 2 and in this recommendation, the definition in this recommendation will take precedence. In particular, this document supersedes section 4.3.3.1 through 4.3.3.4 of part 2.

  5. Hot news recommendation system from heterogeneous websites based on bayesian model.

    PubMed

    Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

    2014-01-01

    The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results. PMID:25093207

  6. Challenges and opportunities of using recommender systems for personalized health education.

    PubMed

    Fernandez-Luque, Luis; Karlsen, Randi; Vognild, Lars K

    2009-01-01

    The use of computers in health education started more than a decade ago, mainly for tailoring health educational resources. Nowadays, many of the computer-tailoring health education systems are using the Internet for delivering different types of health education. Traditionally, these systems are designed for a specific health problem, with a predefined library of educational resources. These systems do not take advantage of the increasing amount of educational resources available on the Internet. One of the reasons is that the high availability of content is making it more difficult to find the relevant one. The problem of information overload has been addressed for many years in the field of recommender systems. This paper is focused on the challenges and opportunities of merging recommender systems with personalized health education. It also discusses the usage of social networks and semantic technologies within this approach. PMID:19745443

  7. A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization

    PubMed Central

    Ullah, Farman; Sarwar, Ghulam; Lee, Sungchang

    2014-01-01

    We propose a network and visual quality aware N-Screen content recommender system. N-Screen provides more ways than ever before to access multimedia content through multiple devices and heterogeneous access networks. The heterogeneity of devices and access networks present new questions of QoS (quality of service) in the realm of user experience with content. We propose, a recommender system that ensures a better visual quality on user's N-screen devices and the efficient utilization of available access network bandwidth with user preferences. The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. The objective is to recommend content that the user's N-Screen device and access network are capable of displaying and streaming with the user preferences that have not been supported in existing systems. Furthermore, we suggest a joint matrix factorization approach to jointly factorize the users rating matrix with the users N-Screen device similarity and program genres similarity. Finally, the experimental results show that we also enhance the prediction and recommendation accuracy, sparsity, and cold start issues. PMID:24982999

  8. Analysis of 2007-2009 Executive Budget Recommendation. North Dakota University System

    ERIC Educational Resources Information Center

    North Dakota University System, 2006

    2006-01-01

    The 2007-09 state general fund executive recommendation (including general fund capital projects) is $470.2 million for the eleven campuses, UND School of Medicine and Health Sciences, Forest Service and North Dakota University System Office, which is an increase of $81.8 million or 21.1% over the 2005-07 adjusted appropriation. The total…

  9. RECOMMENDED SUB-SLAB DEPRESSURIZATION SYSTEMS DESIGN STANDARD OF THE FLORIDA RADON RESEARCH PROGRAM

    EPA Science Inventory

    The report recommends sub-slab depressurization systems design criteria to the State of Florida's Department of Community Affairs for their building code for radon resistant houses. Numerous details are set forth in the full report. Primary criteria include: (1) the operating soi...

  10. Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels

    ERIC Educational Resources Information Center

    Dwivedi, Pragya; Bharadwaj, Kamal K.

    2013-01-01

    In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and…

  11. Which Doctor to Trust: A Recommender System for Identifying the Right Doctors

    PubMed Central

    Yao, Cuili; Yang, Haoyu; Huang, Degen; Wang, Fei

    2016-01-01

    Background Key opinion leaders (KOLs) are people who can influence public opinion on a certain subject matter. In the field of medical and health informatics, it is critical to identify KOLs on various disease conditions. However, there have been very few studies on this topic. Objective We aimed to develop a recommender system for identifying KOLs for any specific disease with health care data mining. Methods We exploited an unsupervised aggregation approach for integrating various ranking features to identify doctors who have the potential to be KOLs on a range of diseases. We introduce the design, implementation, and deployment details of the recommender system. This system collects the professional footprints of doctors, such as papers in scientific journals, presentation activities, patient advocacy, and media exposure, and uses them as ranking features to identify KOLs. Results We collected the information of 2,381,750 doctors in China from 3,657,797 medical journal papers they published, together with their profiles, academic publications, and funding. The empirical results demonstrated that our system outperformed several benchmark systems by a significant margin. Moreover, we conducted a case study in a real-world system to verify the applicability of our proposed method. Conclusions Our results show that doctors’ profiles and their academic publications are key data sources for identifying KOLs in the field of medical and health informatics. Moreover, we deployed the recommender system and applied the data service to a recommender system of the China-based Internet technology company NetEase. Patients can obtain authority ranking lists of doctors with this system on any given disease. PMID:27390219

  12. Discerning Relevant Model Features in a Content-based Collaborative Recommender System

    NASA Astrophysics Data System (ADS)

    Bellogín, Alejandro; Cantador, Iván; Castells, Pablo; Ortigosa, Álvaro

    Recommender systems suggest users information items they may be interested in. User profiles or usage data are compared with some reference characteristics, which may belong to the items (content-based approach), or to other users in the same context (collaborative filtering approach). These items are usually presented as a ranking, where the more relevant an item is predicted to be for a user, the higher it appears in the ranking. In this scenario, a preferential order has to be inferred, and therefore, preference learning methods can be naturally helpful. The relevant recommendation model features for the learning-based enhancements explored in this work comprise parameters of the recommendation algorithms, and user-related attributes. In the researched approach, machine learning techniques are used to discover which model features are relevant in providing accurate recommendations. The assessment of relevant model features, which is the focus of this paper, is envisioned as the first step in a learning cycle in which improved recommendation models are produced and executed after the discovery step, based on the findings that result from it.

  13. Systems-based approaches to osteoporosis and fracture care: policy and research recommendations from the workgroups.

    PubMed

    Adler, R A; Bates, D W; Dell, R M; LeBoff, M S; Majumdar, S R; Saag, K G; Solomon, D H; Suarez-Almazor, M E

    2011-08-01

    Participants in the conference selected to attend two different working group sessions. The working groups discussed different perspectives of system-based approaches to osteoporosis and fracture care. The group on postfracture case management recommended that nurse case managers be used to improve communication among patients, orthopaedic surgeons, and those providing ongoing clinical care. The hospital working group discussed the impact of and barriers to improved postfracture management in the hospital setting. The health systems group emphasized the difference between a closed system in which long-term benefits of interventions were more likely to be appreciated than in fee for service systems. The health information technology group discussed the advantages and challenges of electronic health records. The working group on consumer and provider education discussed interventions for both primary and secondary prevention of fractures. Recommendations were produced by most groups for improving postfracture care. PMID:21847772

  14. Expert Meeting Report: Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems

    SciTech Connect

    Rudd, A.; Ueno, K.; Bergey, D.; Osser, R.

    2012-07-01

    The topic of this meeting was 'Recommendations For Applying Water Heaters In Combination Space And Domestic Water Heating Systems.' Presentations and discussions centered on the design, performance, and maintenance of these combination systems, with the goal of developing foundational information toward the development of a Building America Measure Guideline on this topic. The meeting was held at the Westford Regency Hotel, in Westford, Massachusetts on 7/31/2011.

  15. The recommender system for virtual items in MMORPGs based on a novel collaborative filtering approach

    NASA Astrophysics Data System (ADS)

    Li, S. G.; Shi, L.

    2014-10-01

    The recommendation system for virtual items in massive multiplayer online role-playing games (MMORPGs) has aroused the interest of researchers. Of the many approaches to construct a recommender system, collaborative filtering (CF) has been the most successful one. However, the traditional CFs just lure customers into the purchasing action and overlook customers' satisfaction, moreover, these techniques always suffer from low accuracy under cold-start conditions. Therefore, a novel collaborative filtering (NCF) method is proposed to identify like-minded customers according to the preference similarity coefficient (PSC), which implies correlation between the similarity of customers' characteristics and the similarity of customers' satisfaction level for the product. Furthermore, the analytic hierarchy process (AHP) is used to determine the relative importance of each characteristic of the customer and the improved ant colony optimisation (IACO) is adopted to generate the expression of the PSC. The IACO creates solutions using the Markov random walk model, which can accelerate the convergence of algorithm and prevent prematurity. For a target customer whose neighbours can be found, the NCF can predict his satisfaction level towards the suggested products and recommend the acceptable ones. Under cold-start conditions, the NCF will generate the recommendation list by excluding items that other customers prefer.

  16. TogoDoc Server/Client System: Smart Recommendation and Efficient Management of Life Science Literature

    PubMed Central

    Takagi, Toshihisa

    2010-01-01

    In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the “tsunami” of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past). The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom. PMID:21179453

  17. Feasibility of Integrated Menu Recommendation and Self-Order System for Small-Scale Restaurants

    NASA Astrophysics Data System (ADS)

    Kashima, Tomoko; Matsumoto, Shimpei; Ishii, Hiroaki

    2010-10-01

    In recent years, point of sales (POS) systems with order function have been developed for restaurants. Since expensive apparatus and system are required for installing POS systems, usually only large-scale restaurant chains can afford to introduce them. In this research, we consider the POS management in a restaurant, which cooperates with an automatic order function by using a personal digital device aiming at the safety of the food, pursuit of service, and further operational efficiency improvements, such as foods management, accounting treatment, and ordering work. In traditional POS systems, information recommendation technology is not taken into consideration. We realize the recommendation of a menu according to the user's preference using rough sets and menu planning based on stock status by applying information recommendation technology. Therefore, we believe that this system can be used in comfort with regard to freshness of foods, allergy, diabetes, etc. Furthermore, due to the reduction of the personnel expenses by an operational efficiency improvement such technology becomes even feasible for small-scale stores.

  18. High performance solar desiccant cooling system: Performance evaluation and research recommendations

    NASA Astrophysics Data System (ADS)

    Schlepp, D. R.; Schultz, K. J.

    1984-09-01

    The current status of solar desiccant cooling was assessed and recommendations were made for continued research to develop high performance systems competitive with conventional cooling systems. Solid desiccant, liquid desiccant, and hybrid systems combining desiccant dehumidifiers with vapor compressor units are considered. Currently, all desiccant systems fall somewhat short of being competitive with conventional systems. Hybrid systems appear to have the greatest potential in the short term. Solid systems are close to meeting performance goals. Development of high performance solid desiccant dehumidifiers based on parallel passage designs should be pursued. Liquid system collector/generators and efficient absorbers should receive attention. Model development is also indicated. Continued development by hybrid systems is directly tied to the above work.

  19. Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis.

    PubMed

    Shin, Il-Hyung; Cha, Jaepyeong; Cheon, Gyeong Woo; Lee, Choonghee; Lee, Seung Yup; Yoon, Hyung-Jin; Kim, Hee Chan

    2014-01-01

    This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals. PMID:25571461

  20. Materials-research recommendations to improve the performance and durability of solar heating and cooling systems

    SciTech Connect

    Herzenberg, S.; Silberglitt, R.

    1981-09-11

    The type of materials research most likely to improve the durability and efficiency of future active and passive solar heating and cooling systems is analyzed. Research needs are compared with ongoing solar materials research, and the extent to which present research efforts are addressing the critical flat plate collector needs is assessed. Areas most in need of additional attention are identified. Research recommendations are made for glazing materials, selective absorbers, and heat transfer fluids. (LEW)

  1. The Skills, Competences, and Attitude toward Information and Communications Technology Recommender System: an online support program for teachers with personalized recommendations

    NASA Astrophysics Data System (ADS)

    Revilla Muñoz, Olga; Alpiste Penalba, Francisco; Fernández Sánchez, Joaquín

    2016-01-01

    Teachers deal with Information and Communications Technology (ICT) every day and they often have to solve problems by themselves. To help them in coping with this issue, an online support program has been created, where teachers can pose their problems on ICT and they can receive solutions from other teachers. A Recommender System has been defined and implemented into the support program to suggest to each teacher the most suitable solution based on her Skills, Competences, and Attitude toward ICT (SCAT-ICT). The support program has initially been populated with 70 problems from 86 teachers. 30 teachers grouped these problems into six categories with the card-sorting technique. Real solutions to these problems have been proposed by 25 trained teachers. Finally, 17 teachers evaluated the usability of the support program and the Recommender System, where results showed a high score on the standardized System Usability Scale.

  2. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.

    SciTech Connect

    Peters, Valerie A.; Ogilvie, Alistair B.

    2012-01-01

    This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and specific data recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of operating wind turbines. This report is intended to help develop a basic understanding of the data needed for reliability analysis from a Computerized Maintenance Management System (CMMS) and other data systems. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and analysis and reporting needs. The 'Motivation' section of this report provides a rationale for collecting and analyzing field data for reliability analysis. The benefits of this type of effort can include increased energy delivered, decreased operating costs, enhanced preventive maintenance schedules, solutions to issues with the largest payback, and identification of early failure indicators.

  3. Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis

    PubMed Central

    Zhou, Wei; Wen, Junhao; Koh, Yun Sing; Xiong, Qingyu; Gao, Min; Dobbie, Gillian; Alam, Shafiq

    2015-01-01

    Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect recommendations, have been shown to negatively affect collaborative filtering (CF) algorithms. Previous research focuses only on the differences between genuine profiles and attack profiles, ignoring the group characteristics in attack profiles. In this paper, we study the use of statistical metrics to detect rating patterns of attackers and group characteristics in attack profiles. Another question is that most existing detecting methods are model specific. Two metrics, Rating Deviation from Mean Agreement (RDMA) and Degree of Similarity with Top Neighbors (DegSim), are used for analyzing rating patterns between malicious profiles and genuine profiles in attack models. Building upon this, we also propose and evaluate a detection structure called RD-TIA for detecting shilling attacks in recommender systems using a statistical approach. In order to detect more complicated attack models, we propose a novel metric called DegSim’ based on DegSim. The experimental results show that our detection model based on target item analysis is an effective approach for detecting shilling attacks. PMID:26222882

  4. Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis.

    PubMed

    Zhou, Wei; Wen, Junhao; Koh, Yun Sing; Xiong, Qingyu; Gao, Min; Dobbie, Gillian; Alam, Shafiq

    2015-01-01

    Recommender systems are highly vulnerable to shilling attacks, both by individuals and groups. Attackers who introduce biased ratings in order to affect recommendations, have been shown to negatively affect collaborative filtering (CF) algorithms. Previous research focuses only on the differences between genuine profiles and attack profiles, ignoring the group characteristics in attack profiles. In this paper, we study the use of statistical metrics to detect rating patterns of attackers and group characteristics in attack profiles. Another question is that most existing detecting methods are model specific. Two metrics, Rating Deviation from Mean Agreement (RDMA) and Degree of Similarity with Top Neighbors (DegSim), are used for analyzing rating patterns between malicious profiles and genuine profiles in attack models. Building upon this, we also propose and evaluate a detection structure called RD-TIA for detecting shilling attacks in recommender systems using a statistical approach. In order to detect more complicated attack models, we propose a novel metric called DegSim' based on DegSim. The experimental results show that our detection model based on target item analysis is an effective approach for detecting shilling attacks. PMID:26222882

  5. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    PubMed

    Achakulvisut, Titipat; Acuna, Daniel E; Ruangrong, Tulakan; Kording, Konrad

    2016-01-01

    Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate. PMID:27383424

  6. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications

    PubMed Central

    Achakulvisut, Titipat; Acuna, Daniel E.; Ruangrong, Tulakan; Kording, Konrad

    2016-01-01

    Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate. PMID:27383424

  7. Emergence of scale-free leadership structure in social recommender systems.

    PubMed

    Zhou, Tao; Medo, Matúš; Cimini, Giulio; Zhang, Zi-Ke; Zhang, Yi-Cheng

    2011-01-01

    The study of the organization of social networks is important for the understanding of opinion formation, rumor spreading, and the emergence of trends and fashion. This paper reports empirical analysis of networks extracted from four leading sites with social functionality (Delicious, Flickr, Twitter and YouTube) and shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by social recommending. Artificial agent-based simulations of this model highlight a "good get richer" mechanism where users with broad interests and good judgments are likely to become popular leaders for the others. Simulations also indicate that the studied social recommendation mechanism can gradually improve the user experience by adapting to tastes of its users. Finally we outline implications for real online resource-sharing systems. PMID:21857891

  8. Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21st Century

    PubMed Central

    Cutrona, Sarah L; Kinney, Rebecca L; Marlin, Benjamin M; Mazor, Kathleen M; Lemon, Stephenie C; Houston, Thomas K

    2016-01-01

    Background What is the next frontier for computer-tailored health communication (CTHC) research? In current CTHC systems, study designers who have expertise in behavioral theory and mapping theory into CTHC systems select the variables and develop the rules that specify how the content should be tailored, based on their knowledge of the targeted population, the literature, and health behavior theories. In collective-intelligence recommender systems (hereafter recommender systems) used by Web 2.0 companies (eg, Netflix and Amazon), machine learning algorithms combine user profiles and continuous feedback ratings of content (from themselves and other users) to empirically tailor content. Augmenting current theory-based CTHC with empirical recommender systems could be evaluated as the next frontier for CTHC. Objective The objective of our study was to uncover barriers and challenges to using recommender systems in health promotion. Methods We conducted a focused literature review, interviewed subject experts (n=8), and synthesized the results. Results We describe (1) limitations of current CTHC systems, (2) advantages of incorporating recommender systems to move CTHC forward, and (3) challenges to incorporating recommender systems into CTHC. Based on the evidence presented, we propose a future research agenda for CTHC systems. Conclusions We promote discussion of ways to move CTHC into the 21st century by incorporation of recommender systems. PMID:26952574

  9. Nuclear safety, legal aspects and policy recommendations for space nuclear power and propulsion systems

    NASA Astrophysics Data System (ADS)

    Lenard, Roger X.

    2006-07-01

    This paper represents a chapter of the International Astronautical Academy's Cosmic Study on safety, legal and policy aspects of advanced (specifically nuclear) power and propulsions systems; it is divided into several sections. The first section covers a series of findings and develops a set of recommendations for operations of space reactor systems in a safe, environmentally compliant fashion. The second section develops a generic set of hazard scenarios that might be experienced by a space nuclear system with emphasis on different methods under which such a system could be engaged, such as surface power, in-space nuclear electric or nuclear thermal propulsion. The third section develops these into test and analysis efforts that would likely be conducted. Risk areas with engineering judgment set toward frequency and consequences. The fourth section identifies what probable technology limits might be experienced by nuclear propulsion systems and the exploration limitations these technology restrictions might impose. Where the IAA recommends a change, the IAA leadership should be prepared to work with national and international bodies to implement the desired modifications.

  10. Simulation Study on E-commerce Recommender System Based on a Customer-Product Purchase-Matrix

    NASA Astrophysics Data System (ADS)

    Kwon, Chi-Myung; Kim, Seong-Yeon

    This paper investigates the efficiencies of CF method and SVD-based recommender system for producing useful recommendations to customers when large-scale customer-product purchase data are available. Simulation experiments on synthetic transaction data show SVD-based recommender system yields a better performance than the CF method. Reduced product dimensionality from SVD may be more effective in generating a reliable neighborhood than CF method, and thereby it may improve the efficiency of recommendation performance. In applying SVD-based recommender system, the recommendation quality increases as the size of the neighborhood increase up to a certain point, but after that point, the improvement gains diminish. Our simulation results also show that an appropriate number of products for recommendation would be 10 in term of the error of false positives since around this point, the recall is not small, and both precision and F1 metric appear to be maximal. Even though the recommendation quality depends upon the dimension and structure of transaction data set, we consider such information may be useful in applying recommender system

  11. Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems

    PubMed Central

    Gao, Min; Tian, Renli; Wen, Junhao; Xiong, Qingyu; Ling, Bin; Yang, Linda

    2015-01-01

    In recent years, recommender systems have become an effective method to process information overload. However, recommendation technology still suffers from many problems. One of the problems is shilling attacks-attackers inject spam user profiles to disturb the list of recommendation items. There are two characteristics of all types of shilling attacks: 1) Item abnormality: The rating of target items is always maximum or minimum; and 2) Attack promptness: It takes only a very short period time to inject attack profiles. Some papers have proposed item anomaly detection methods based on these two characteristics, but their detection rate, false alarm rate, and universality need to be further improved. To solve these problems, this paper proposes an item anomaly detection method based on dynamic partitioning for time series. This method first dynamically partitions item-rating time series based on important points. Then, we use chi square distribution (χ2) to detect abnormal intervals. The experimental results on MovieLens 100K and 1M indicate that this approach has a high detection rate and a low false alarm rate and is stable toward different attack models and filler sizes. PMID:26267477

  12. Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems.

    PubMed

    Gao, Min; Tian, Renli; Wen, Junhao; Xiong, Qingyu; Ling, Bin; Yang, Linda

    2015-01-01

    In recent years, recommender systems have become an effective method to process information overload. However, recommendation technology still suffers from many problems. One of the problems is shilling attacks-attackers inject spam user profiles to disturb the list of recommendation items. There are two characteristics of all types of shilling attacks: 1) Item abnormality: The rating of target items is always maximum or minimum; and 2) Attack promptness: It takes only a very short period time to inject attack profiles. Some papers have proposed item anomaly detection methods based on these two characteristics, but their detection rate, false alarm rate, and universality need to be further improved. To solve these problems, this paper proposes an item anomaly detection method based on dynamic partitioning for time series. This method first dynamically partitions item-rating time series based on important points. Then, we use chi square distribution (χ2) to detect abnormal intervals. The experimental results on MovieLens 100K and 1M indicate that this approach has a high detection rate and a low false alarm rate and is stable toward different attack models and filler sizes. PMID:26267477

  13. [Recommendations for selecting antimicrobial agents for in vitro susceptibility studies using automatic and semiautomatic systems].

    PubMed

    Cantón, Rafael; Alós, Juan Ignacio; Baquero, Fernando; Calvo, Jorge; Campos, José; Castillo, Javier; Cercenado, Emilia; Domínguez, M Angeles; Liñares, Josefina; López-Cerezo, Lorena; Marco, Francesc; Mirelis, Beatriz; Morosini, María-Isabel; Navarro, Ferran; Oliver, Antonio; Pérez-Trallero, Emilio; Torres, Carmen; Martínez-Martínez, Luis

    2007-01-01

    The number of clinical microbiology laboratories that have incorporated automatic susceptibility testing devices has increased in recent years. The majority of these systems determine MIC values using microdilution panels or specific cards, with grouping into clinical categories (susceptible, intermediate or resistant) and incorporate expert systems to infer resistance mechanisms. This document presents the recommendations of a group of experts designated by Grupo de Estudio de los Mecanismos de Acción y Resistencia a los Antimicrobianos (GEMARA, Study group on mechanisms of action and resistance to antimicrobial agents) and Mesa Española de Normalización de la Sensibilidad y Resistencia a los Antimicrobianos (MENSURA, Spanish Group for Normalizing Antimicrobial Susceptibility and Antimicrobial Resistance), with the aim of including antimicrobial agents and selecting concentrations for the susceptibility testing panels of automatic systems. The following have been defined: various antimicrobial categories (A: must be included in the study panel; B: inclusion is recommended; and C: inclusion is secondary, but may facilitate interpretative reading of the antibiogram) and groups (0: not used in therapeutics but may facilitate the detection of resistance mechanisms; 1: must be studied and always reported; 2: must be studied and selectively reported; 3: must be studied and reported at a second level; and 4: should be studied in urinary tract pathogens isolated in urine and other specimens). Recommended antimicrobial concentrations are adapted from the breakpoints established by EUCAST, CLSI and MENSURA. This approach will lead to more accurate susceptibility testing results with better detection of resistance mechanisms, and allowing to reach the clinical goal of the antibiogram. PMID:17583653

  14. [Clinical practice guidelines for systemic lupus erythematosus: Recommendations for general clinical management].

    PubMed

    Trujillo-Martín, María M; Rúa-Figueroa Fernández de Larrinoa, Iñigo; Ruíz-Irastorza, Guillermo; Pego-Reigosa, José María; Sabio Sánchez, José Mario; Serrano-Aguilar, Pedro

    2016-05-01

    Systemic lupus erythematosus (SLE) is a complex rheumatic multisystemic disease of autoimmune origin with significant potential morbidity and mortality. It is one of the most common autoimmune diseases with an estimated prevalence of 20-150 cases per 100,000 inhabitants. The clinical spectrum of SLE is wide and variable both in clinical manifestations and severity. This prompted the Spanish Ministry of Health, Social Services and Equality to promote and fund the development of a clinical practice guideline (CPG) for the clinical care of SLE patients within the Programme of CPG in the National Health System which coordinates GuiaSalud. This CPG is is intended as the reference tool in the Spanish National Health System in order to support the comprehensive clinical management of people with SLE by all health professionals involved, regardless of specialty and level of care, helping to standardize and improve the quality of clinical decisions in our context in order to improve the health outcomes of the people affected. The purpose of this document is to present and discuss the rationale of the recommendations on the general management of SLE, specifically, clinical follow-up, general therapeutic approach, healthy lifestyles, photoprotection, and training programmes for patients. These recommendations are based on the best available scientific evidence, on discussion and the consensus of expert groups. PMID:26975887

  15. Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

    PubMed

    Middleton, Blackford; Bloomrosen, Meryl; Dente, Mark A; Hashmat, Bill; Koppel, Ross; Overhage, J Marc; Payne, Thomas H; Rosenbloom, S Trent; Weaver, Charlotte; Zhang, Jiajie

    2013-06-01

    In response to mounting evidence that use of electronic medical record systems may cause unintended consequences, and even patient harm, the AMIA Board of Directors convened a Task Force on Usability to examine evidence from the literature and make recommendations. This task force was composed of representatives from both academic settings and vendors of electronic health record (EHR) systems. After a careful review of the literature and of vendor experiences with EHR design and implementation, the task force developed 10 recommendations in four areas: (1) human factors health information technology (IT) research, (2) health IT policy, (3) industry recommendations, and (4) recommendations for the clinician end-user of EHR software. These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems. PMID:23355463

  16. Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA

    PubMed Central

    Middleton, Blackford; Bloomrosen, Meryl; Dente, Mark A; Hashmat, Bill; Koppel, Ross; Overhage, J Marc; Payne, Thomas H; Rosenbloom, S Trent; Weaver, Charlotte; Zhang, Jiajie

    2013-01-01

    In response to mounting evidence that use of electronic medical record systems may cause unintended consequences, and even patient harm, the AMIA Board of Directors convened a Task Force on Usability to examine evidence from the literature and make recommendations. This task force was composed of representatives from both academic settings and vendors of electronic health record (EHR) systems. After a careful review of the literature and of vendor experiences with EHR design and implementation, the task force developed 10 recommendations in four areas: (1) human factors health information technology (IT) research, (2) health IT policy, (3) industry recommendations, and (4) recommendations for the clinician end-user of EHR software. These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems. PMID:23355463

  17. Recommended engineering practice to enhance the EMI/EMP immunity of electric power systems

    SciTech Connect

    Wagner, C.L.; Feero, W.E.

    1992-12-01

    Many papers and reports have been written on studies conducted by the Oak Ridge National Laboratory and investigations by others on the effect of high-altitude electromagnetic pulses (HEMP) on electric power systems. More than 100 of the published unclassified documents were reviewed with the objectives of: 1. summarizing the mitigation methods suggested in the documents and providing a subjective evaluation of each 2. discussing various standards . that presently apply to the effects of HEMP on utility systems and suggesting additions or modifications or new standards where deficiencies appear to exist; and 3. recommending future studies or actions to improve the utility response to HEMP. While all three components of HEMP were mentioned, only the early-time short-duration E{sub 1} pulse and the late-time long-duration E{sub 3} pulse were considered in detail; the E{sub 2} intermediate component was not considered to affect the power system significantly.

  18. Recommended engineering practice to enhance the EMI/EMP immunity of electric power systems

    SciTech Connect

    Wagner, C.L.; Feero, W.E. )

    1992-12-01

    Many papers and reports have been written on studies conducted by the Oak Ridge National Laboratory and investigations by others on the effect of high-altitude electromagnetic pulses (HEMP) on electric power systems. More than 100 of the published unclassified documents were reviewed with the objectives of: 1. summarizing the mitigation methods suggested in the documents and providing a subjective evaluation of each 2. discussing various standards . that presently apply to the effects of HEMP on utility systems and suggesting additions or modifications or new standards where deficiencies appear to exist; and 3. recommending future studies or actions to improve the utility response to HEMP. While all three components of HEMP were mentioned, only the early-time short-duration E[sub 1] pulse and the late-time long-duration E[sub 3] pulse were considered in detail; the E[sub 2] intermediate component was not considered to affect the power system significantly.

  19. One to One Recommendation System in Apparel On-Line Shopping

    NASA Astrophysics Data System (ADS)

    Sekozawa, Teruji; Mitsuhashi, Hiroyuki; Ozawa, Yukio

    We propose an apparel online shopping site that the fashion adviser exists on the internet. The fashion adviser, who has detailed knowledge about the fashion in real shop, selects and coordinates the clothes of the customer's preference. However, the customer, who didn't have detailed knowledge about the fashion, was not able to choose the clothes suitable for the customer's preference from among the candidate of a large amount of clothes on a conventional apparel shopping site. Then, we compose the system that analyzes the customer's preference by the AHP technique, makes to the cluster by the correlation of clothes, and analyzes the market basket. As a result, this system can coordinate the clothes appropriate for the favor of an individual customer. Moreover, this system can propose the recommendation of other clothes based on past sales data.

  20. Health policy and systems research training: global status and recommendations for action

    PubMed Central

    Tancred, Tara M; Schleiff, Meike; Peters, David H

    2016-01-01

    Abstract Objective To investigate the characteristics of health policy and systems research training globally and to identify recommendations for improvement and expansion. Methods We identified institutions offering health policy and systems research training worldwide. In 2014, we recruited participants from identified institutions for an online survey on the characteristics of the institutions and the courses given. Survey findings were explored during in-depth interviews with selected key informants. Findings The study identified several important gaps in health policy and systems research training. There were few courses in central and eastern Europe, the Middle East, North Africa or Latin America. Most (116/152) courses were instructed in English. Institutional support for courses was often lacking and many institutions lacked the critical mass of trained individuals needed to support doctoral and postdoctoral students. There was little consistency between institutions in definitions of the competencies required for health policy and systems research. Collaboration across disciplines to provide the range of methodological perspectives the subject requires was insufficient. Moreover, the lack of alternatives to on-site teaching may preclude certain student audiences such as policy-makers. Conclusion Training in health policy and systems research is important to improve local capacity to conduct quality research in this field. We provide six recommendations to improve the content, accessibility and reach of training. First, create a repository of information on courses. Second, establish networks to support training. Third, define competencies in health policy and systems research. Fourth, encourage multidisciplinary collaboration. Fifth, expand the geographical and language coverage of courses. Finally, consider alternative teaching formats. PMID:27429488

  1. System Performance Measurement Supports Design Recommendations for Solar Ventilation Preheat System (Brochure)

    SciTech Connect

    Not Available

    2011-08-01

    Technical briefing to report the outcomes of a data monitoring effort to determine the nature of solar vent preheat system performance problems at a U.S. military installation. The analysis reports up-to-date research and findings regarding system design, helping to clarify the issue as a factor of system design, rather than a shortcoming of SVP systems.

  2. EU Country Specific Recommendations for health systems in the European Semester process: trends, discourse and predictors.

    PubMed

    Azzopardi-Muscat, Natasha; Clemens, Timo; Stoner, Deborah; Brand, Helmut

    2015-03-01

    In the framework of "Europe 2020", European Union Member States are subject to a new system of economic monitoring and governance known as the European Semester. This paper seeks to analyse the way in which national health systems are being influenced by EU institutions through the European Semester. A content analysis of the Country Specific Recommendations (CSRs) for the years 2011, 2012, 2013 and 2014 was carried out. This confirmed an increasing trend for health systems to feature in CSRs which tend to be framed in the discourse on sustainability of public finances rather than that of social inclusion with a predominant focus on the policy objective of sustainability. The likelihood of obtaining a health CSRs was tested against a series of financial health system performance indicators and general government finance indicators. The odds ratio of obtaining a health CSR increased slightly with the increase in level of general Government debt, with an OR 1.02 (CI: 1.01, 1.03; p=0.007) and decreased with an increased public health expenditure/total health expenditure ratio, with an OR 0.89 (CI: 0.84, 0.96; p=0.001). The European Semester process is a relatively new process that is influencing health systems in the European Union. The effect of this process on health systems merits further attention. Health stakeholders should seek to engage more closely with this process which if steered appropriately could also present opportunities for health system reform. PMID:25650138

  3. Experience and design recommendations for picture archiving and communication systems in the surgical setting.

    PubMed

    Pomerantz, S M; Siegel, E L; Protopapas, Z; Reiner, B I; Pickar, E R

    1996-08-01

    An analysis of the efficacy of a picture archiving and communication system (PACS) in the surgical domain was undertaken at the Baltimore Veterans Affairs Medical Center. Interviews with surgeons and staff were conducted and supplemented by direct radiologist observation in the operating room (OR) and surgical outpatient clinic to determine patterns of routine clinical PACS use, levels of satisfaction both within and outside of the OR, and perceptions of the relative efficacy of the system in comparison to film. These data as well as suggestions from the surgical staff members were used to make recommendations for specific modifications in PACS design and operation to improve the current system and to help prescribe design improvements for future PAC systems. A high level of satisfaction with the system was found and the use of PACS was favored over film by a majority of surgeons and their staff. Findings of this study suggest that the design of a hospital-wide PAC system must have the flexibility to accommodate the specific requirements of a wide variety of end-users in their unique hospital environments. PMID:8854262

  4. A Data Management System Integrating Web-based Training and Randomized Trials: Requirements, Experiences and Recommendations

    PubMed Central

    Muroff, Jordana; Amodeo, Maryann; Larson, Mary Jo; Carey, Margaret; Loftin, Ralph D.

    2014-01-01

    This article describes a data management system (DMS) developed to support a large-scale randomized study of an innovative web-course that was designed to improve substance abuse counselors’ knowledge and skills in applying a substance abuse treatment method (i.e., cognitive behavioral therapy; CBT). The randomized trial compared the performance of web-course-trained participants (intervention group) and printed-manual-trained participants (comparison group) to determine the effectiveness of the web-course in teaching CBT skills. A single DMS was needed to support all aspects of the study: web-course delivery and management, as well as randomized trial management. The authors briefly reviewed several other systems that were described as built either to handle randomized trials or to deliver and evaluate web-based training. However it was clear that these systems fell short of meeting our needs for simultaneous, coordinated management of the web-course and the randomized trial. New England Research Institute’s (NERI) proprietary Advanced Data Entry and Protocol Tracking (ADEPT) system was coupled with the web-programmed course and customized for our purposes. This article highlights the requirements for a DMS that operates at the intersection of web-based course management systems and randomized clinical trial systems, and the extent to which the coupled, customized ADEPT satisfied those requirements. Recommendations are included for institutions and individuals considering conducting randomized trials and web-based training programs, and seeking a DMS that can meet similar requirements. PMID:25414571

  5. Study report recommendations for the next generation Range Safety System (RSS) Integrated Receiver/Decoder (IRD)

    NASA Technical Reports Server (NTRS)

    Crosby, Robert H.

    1992-01-01

    The Integrated Receiver/Decoder (IRD) currently used on the Space Shuttle was designed in the 1980 and prior time frame. Over the past 12 years, several parts have become obsolete or difficult to obtain. As directed by the Marshall Space Flight Center, a primary objective is to investigate updating the IRD design using the latest technology subsystems. To take advantage of experience with the current designs, an analysis of failures and a review of discrepancy reports, material review board actions, scrap, etc. are given. A recommended new design designated as the Advanced Receiver/Decoder (ARD) is presented. This design uses the latest technology components to simplify circuits, improve performance, reduce size and cost, and improve reliability. A self-test command is recommended that can improve and simplify operational procedures. Here, the new design is contrasted with the old. Possible simplification of the total Range Safety System is discussed, as is a single-step crypto technique that can improve and simplify operational procedures.

  6. Detection of abnormal item based on time intervals for recommender systems.

    PubMed

    Gao, Min; Yuan, Quan; Ling, Bin; Xiong, Qingyu

    2014-01-01

    With the rapid development of e-business, personalized recommendation has become core competence for enterprises to gain profits and improve customer satisfaction. Although collaborative filtering is the most successful approach for building a recommender system, it suffers from "shilling" attacks. In recent years, the research on shilling attacks has been greatly improved. However, the approaches suffer from serious problem in attack model dependency and high computational cost. To solve the problem, an approach for the detection of abnormal item is proposed in this paper. In the paper, two common features of all attack models are analyzed at first. A revised bottom-up discretized approach is then proposed based on time intervals and the features for the detection. The distributions of ratings in different time intervals are compared to detect anomaly based on the calculation of chi square distribution (χ(2)). We evaluated our approach on four types of items which are defined according to the life cycles of these items. The experimental results show that the proposed approach achieves a high detection rate with low computational cost when the number of attack profiles is more than 15. It improves the efficiency in shilling attacks detection by narrowing down the suspicious users. PMID:24693248

  7. Detection of Abnormal Item Based on Time Intervals for Recommender Systems

    PubMed Central

    Yuan, Quan; Ling, Bin; Xiong, Qingyu

    2014-01-01

    With the rapid development of e-business, personalized recommendation has become core competence for enterprises to gain profits and improve customer satisfaction. Although collaborative filtering is the most successful approach for building a recommender system, it suffers from “shilling” attacks. In recent years, the research on shilling attacks has been greatly improved. However, the approaches suffer from serious problem in attack model dependency and high computational cost. To solve the problem, an approach for the detection of abnormal item is proposed in this paper. In the paper, two common features of all attack models are analyzed at first. A revised bottom-up discretized approach is then proposed based on time intervals and the features for the detection. The distributions of ratings in different time intervals are compared to detect anomaly based on the calculation of chi square distribution (χ2). We evaluated our approach on four types of items which are defined according to the life cycles of these items. The experimental results show that the proposed approach achieves a high detection rate with low computational cost when the number of attack profiles is more than 15. It improves the efficiency in shilling attacks detection by narrowing down the suspicious users. PMID:24693248

  8. [Arachnoid cysts of the central nervous system. Algorithms and recommendations for management].

    PubMed

    Ros López, Bienvenido; Martín Gallego, Álvaro; Iglesias Moroño, Sara

    2016-01-01

    The symptoms related to the presence of arachnoid cysts in the Central Nervous System depend on the size of the cyst and its growth rate, its location and, in some cases, the associated CSF dynamic disorder. Sometimes there is acute clinical presentation due to cyst rupture or acute bleeding. Although it is generally accepted that asymptomatic or paucisymptomatic cysts do not require surgical treatment, there is no consensus on the therapeutic approach of choice in symptomatic cases. The aim of this paper is to review the literature, analyzing the pros and cons of the three main surgical options (microsurgery, neuroendoscopy, and CSF shunt) based primarily on the location of the cyst. Although treatment must be always individualized, basic management recommendations may be offered. PMID:25861895

  9. Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems

    PubMed Central

    Rodriguez-Carrion, Alicia; Garcia-Rubio, Carlos; Campo, Celeste; Cortés-Martín, Alberto; Garcia-Lozano, Estrella; Noriega-Vivas, Patricia

    2012-01-01

    Predicting users' next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices. The original algorithms have been divided into two phases, thus being possible to mix them and check which combination is the best one to obtain better prediction accuracy or lower resource consumption. To make such comparisons, a set of GSM-based mobility traces of 95 different users is considered. Finally, a prototype for mobile devices that integrates the predictors in a public transportation recommender system is described in order to show an example of how to take advantage of location prediction in an ubiquitous computing environment. PMID:22969357

  10. Study of LZ-based location prediction and its application to transportation recommender systems.

    PubMed

    Rodriguez-Carrion, Alicia; Garcia-Rubio, Carlos; Campo, Celeste; Cortés-Martín, Alberto; Garcia-Lozano, Estrella; Noriega-Vivas, Patricia

    2012-01-01

    Predicting users' next location allows to anticipate their future context, thus providing additional time to be ready for that context and react consequently. This work is focused on a set of LZ-based algorithms (LZ, LeZi Update and Active LeZi) capable of learning mobility patterns and estimating the next location with low resource needs, which makes it possible to execute them on mobile devices. The original algorithms have been divided into two phases, thus being possible to mix them and check which combination is the best one to obtain better prediction accuracy or lower resource consumption. To make such comparisons, a set of GSM-based mobility traces of 95 different users is considered. Finally, a prototype for mobile devices that integrates the predictors in a public transportation recommender system is described in order to show an example of how to take advantage of location prediction in an ubiquitous computing environment. PMID:22969357

  11. Design and Implementation of a Threaded Search Engine for Tour Recommendation Systems

    NASA Astrophysics Data System (ADS)

    Lee, Junghoon; Park, Gyung-Leen; Ko, Jin-Hee; Shin, In-Hye; Kang, Mikyung

    This paper implements a threaded scan engine for the O(n!) search space and measures its performance, aiming at providing a responsive tour recommendation and scheduling service. As a preliminary step of integrating POI ontology, mobile object database, and personalization profile for the development of new vehicular telematics services, this implementation can give a useful guideline to design a challenging and computation-intensive vehicular telematics service. The implemented engine allocates the subtree to the respective threads and makes them run concurrently exploiting the primitives provided by the operating system and the underlying multiprocessor architecture. It also makes it easy to add a variety of constraints, for example, the search tree is pruned if the cost of partial allocation already exceeds the current best. The performance measurement result shows that the service can run even in the low-power telematics device when the number of destinations does not exceed 15, with an appropriate constraint processing.

  12. Results and recommendations from an intercomparison of six Hygroscopicity-TDMA systems

    NASA Astrophysics Data System (ADS)

    Massling, A.; Niedermaier, N.; Hennig, T.; Fors, E.; Swietlicki, E.; Ehn, M.; Hämeri, K.; Villani, P.; Laj, P.; Good, N.; McFiggans, G.; Wiedensohler, A.

    2010-02-01

    The performance of six custom-built Hygrocopicity-Tandem Differential Mobility Analyzers (H-TDMA) systems was investigated in the frame of an international calibration and intercomparison workshop held in Leipzig, February 2006. The goal of the workshop was to harmonize H-TDMA measurements and develop recommendations for atmospheric measurements and their data evaluation. The H-TDMA systems were compared in terms of the sizing of dry particles, relative humidity (RH) uncertainty and consistency in determination of number fractions of different hygroscopic particle groups. The experiments were performed in an air-conditioned laboratory using ammonium sulfate particles or an external mixture of ammonium sulfate and soot particles. The sizing of dry particles of the six H-TDMA systems was within 0.2 to 4.2% of the selected particle diameter depending on investigated size and individual system. With regard to RH uncertainties, the H-TDMA systems showed deviations up to 4.5% RH from the set point at RH=90% investigating the hygroscopic growth of ammonium sulfate particles and comparing the results with theory. The evaluation of number fractions investigating an externally mixed aerosol delivered differences up to +/-8% in calculated number fraction for one and the same aerosol type. We analysed the datasets of the different H-TDMAs with one fitting routine to investigate differences caused by the different data evaluation procedures. The results showed that the differences were reduced from +12/-13% to +8/-6%. We can conclude here that a common data evaluation procedure to determine the number fraction of externally mixed aerosols will improve the comparability of H-TDMA measurements. We finally recommend, to ensure a good calibration of all flow, temperature and RH sensors in the systems. It is most important to thermally insulate the RH control unit and the second DMA and to monitor those temperatures as accurately as 0.2 °C. For a correct determination of external

  13. Health technology assessment in middle-income countries: recommendations for a balanced assessment system

    PubMed Central

    Dankó, Dávid

    2014-01-01

    Because of significant differences in institutional contexts, health technology assessment (HTA) systems that are in place in core pharmaceutical markets may not be suitable, fully or in part, for middle-income countries (MICs) and for other noncore markets. Particular challenges may arise when systems based on the economic evaluation paradigm are conceptualized and implemented in MICs, sometimes with an insufficient level of awareness of the local institutional factors that influence pricing and reimbursement decision making. Focusing on pharmaceuticals, this article investigates possible development directions for HTA systems in MICs and noncore markets bearing similar institutional characteristics, and it provides recommendations for a balanced assessment system (BAS). For this, the main paradigms of HTA have also been reviewed briefly and factors influencing HTA and pricing and reimbursement decisions in MICs and in similar noncore countries have been summarized. The proposed BAS framework takes into account available resources and capabilities and is supposed to facilitate access to new pharmaceuticals while ensuring the transparency of decision-making processes and the stability of the pharmaceutical budget. PMID:27226832

  14. A recommendation module to help teachers build courses through the Moodle Learning Management System

    NASA Astrophysics Data System (ADS)

    Limongelli, Carla; Lombardi, Matteo; Marani, Alessandro; Sciarrone, Filippo; Temperini, Marco

    2016-01-01

    In traditional e-learning, teachers design sets of Learning Objects (LOs) and organize their sequencing; the material implementing the LOs could be either built anew or adopted from elsewhere (e.g. from standard-compliant repositories) and reused. This task is applicable also when the teacher works in a system for personalized e-learning. In this case, the burden actually increases: for instance, the LOs may need adaptation to the system, through additional metadata. This paper presents a module that gives some support to the operations of retrieving, analyzing, and importing LOs from a set of standard Learning Objects Repositories, acting as a recommending system. In particular, it is designed to support the teacher in the phases of (i) retrieval of LOs, through a keyword-based search mechanism applied to the selected repositories; (ii) analysis of the returned LOs, whose information is enriched by a concept of relevance metric, based on both the results of the searching operation and the data related to the previous use of the LOs in the courses managed by the Learning Management System; and (iii) LO importation into the course under construction.

  15. Recommendations for the design and the installation of large laser scanning microscopy systems

    NASA Astrophysics Data System (ADS)

    Helm, P. Johannes

    2012-03-01

    Laser Scanning Microscopy (LSM) has since the inventions of the Confocal Scanning Laser Microscope (CLSM) and the Multi Photon Laser Scanning Microscope (MPLSM) developed into an essential tool in contemporary life science and material science. The market provides an increasing number of turn-key and hands-off commercial LSM systems, un-problematic to purchase, set up and integrate even into minor research groups. However, the successful definition, financing, acquisition, installation and effective use of one or more large laser scanning microscopy systems, possibly of core facility character, often requires major efforts by senior staff members of large academic or industrial units. Here, a set of recommendations is presented, which are helpful during the process of establishing large systems for confocal or non-linear laser scanning microscopy as an effective operational resource in the scientific or industrial production process. Besides the description of technical difficulties and possible pitfalls, the article also illuminates some seemingly "less scientific" processes, i.e. the definition of specific laboratory demands, advertisement of the intention to purchase one or more large systems, evaluation of quotations, establishment of contracts and preparation of the local environment and laboratory infrastructure.

  16. An electronic medical record system with treatment recommendations based on patient similarity.

    PubMed

    Wang, Yu; Tian, Yu; Tian, Li-Li; Qian, Yang-Ming; Li, Jing-Song

    2015-05-01

    As the core of health information technology (HIT), electronic medical record (EMR) systems have been changing to meet health care demands. To construct a new-generation EMR system framework with the capability of self-learning and real-time feedback, thus adding intelligence to the EMR system itself, this paper proposed a novel EMR system framework by constructing a direct pathway between the EMR workflow and EMR data. A prototype of this framework was implemented based on patient similarity learning. Patient diagnoses, demographic data, vital signs and structured lab test results were considered for similarity calculations. Real hospitalization data from 12,818 patients were substituted, and Precision @ Position measurements were used to validate self-learning performance. Our EMR system changed the way in which orders are placed by establishing recommendation order menu and shortcut applications. Two learning modes (EASY MODE and COMPLEX MODE) were provided, and the precision values @ position 5 of both modes were 0.7458 and 0.8792, respectively. The precision performance of COMPLEX MODE was better than that of EASY MODE (tested using a paired Wilcoxon-Mann-Whitney test, p < 0.001). Applying the proposed framework, the EMR data value was directly demonstrated in the clinical workflow, and intelligence was added to the EMR system, which could improve system usability, reliability and the physician's work efficiency. This self-learning mechanism is based on dynamic learning models and is not limited to a specific disease or clinical scenario, thus decreasing maintenance costs in real world applications and increasing its adaptability. PMID:25762458

  17. Results and recommendations from an intercomparison of six Hygroscopicity-TDMA systems

    NASA Astrophysics Data System (ADS)

    Massling, A.; Niedermeier, N.; Hennig, T.; Fors, E. O.; Swietlicki, E.; Ehn, M.; Hämeri, K.; Villani, P.; Laj, P.; Good, N.; McFiggans, G.; Wiedensohler, A.

    2011-03-01

    The performance of six custom-built Hygrocopicity-Tandem Differential Mobility Analyser (H-TDMA) systems was investigated in the frame of an international calibration and intercomparison workshop held in Leipzig, February 2006. The goal of the workshop was to harmonise H-TDMA measurements and develop recommendations for atmospheric measurements and their data evaluation. The H-TDMA systems were compared in terms of the sizing of dry particles, relative humidity (RH) uncertainty, and consistency in determination of number fractions of different hygroscopic particle groups. The experiments were performed in an air-conditioned laboratory using ammonium sulphate particles or an external mixture of ammonium sulphate and soot particles. The sizing of dry particles of the six H-TDMA systems was within 0.2 to 4.2% of the selected particle diameter depending on investigated size and individual system. Measurements of ammonium sulphate aerosol found deviations equivalent to 4.5% RH from the set point of 90% RH compared to results from previous experiments in the literature. Evaluation of the number fraction of particles within the clearly separated growth factor modes of a laboratory generated externally mixed aerosol was done. The data from the H-TDMAs was analysed with a single fitting routine to investigate differences caused by the different data evaluation procedures used for each H-TDMA. The differences between the H-TDMAs were reduced from +12/-13% to +8/-6% when the same analysis routine was applied. We conclude that a common data evaluation procedure to determine number fractions of externally mixed aerosols will improve the comparability of H-TDMA measurements. It is recommended to ensure proper calibration of all flow, temperature and RH sensors in the systems. It is most important to thermally insulate the aerosol humidification unit and the second DMA and to monitor these temperatures to an accuracy of 0.2 °C. For the correct determination of external mixtures

  18. Recommendation Systems for Geoscience Data Portals Built by Analyzing Usage Patterns

    NASA Astrophysics Data System (ADS)

    Crosby, C.; Nandigam, V.; Baru, C.

    2009-04-01

    Since its launch five years ago, the National Science Foundation-funded GEON Project (www.geongrid.org) has been providing access to a variety of geoscience data sets such as geologic maps and other geographic information system (GIS)-oriented data, paleontologic databases, gravity and magnetics data and LiDAR topography via its online portal interface. In addition to data, the GEON Portal also provides web-based tools and other resources that enable users to process and interact with data. Examples of these tools include functions to dynamically map and integrate GIS data, compute synthetic seismograms, and to produce custom digital elevation models (DEMs) with user defined parameters such as resolution. The GEON portal built on the Gridsphere-portal framework allows us to capture user interaction with the system. In addition to the site access statistics captured by tools like Google Analystics which capture hits per unit time, search key words, operating systems, browsers, and referring sites, we also record additional statistics such as which data sets are being downloaded and in what formats, processing parameters, and navigation pathways through the portal. With over four years of data now available from the GEON Portal, this record of usage is a rich resource for exploring how earth scientists discover and utilize online data sets. Furthermore, we propose that this data could ultimately be harnessed to optimize the way users interact with the data portal, design intelligent processing and data management systems, and to make recommendations on algorithm settings and other available relevant data. The paradigm of integrating popular and commonly used patterns to make recommendations to a user is well established in the world of e-commerce where users receive suggestions on books, music and other products that they may find interesting based on their website browsing and purchasing history, as well as the patterns of fellow users who have made similar

  19. Fixing a Failing System. National Policy Recommendations: How the Criminal Justice System Should Work with Communities To Reduce Substance Abuse. Report from a Join Together Policy Panel.

    ERIC Educational Resources Information Center

    Join Together, Boston, MA.

    A policy panel of criminal justice experts proposed recommendations to help criminal justice systems become consistently integrated into a community response to substance abuse. The recommendations are: (1) repeal mandatory sentencing; (2) expand substance abuse treatment throughout the criminal justice system; (3) collaborate within the criminal…

  20. Electromagnetic pulse research on electric power systems: Program summary and recommendations

    SciTech Connect

    Barnes, P.R.; McConnell, B.W.; Van Dyke, J.W. ); Tesche, F.M. , Dallas, TX ); Vance, E.F. , Fort Worth, TX )

    1993-01-01

    A single nuclear detonation several hundred kilometers above the central United States will subject much of the nation to a high-altitude electromagnetic pulse (BENT). This pulse consists of an intense steep-front, short-duration transient electromagnetic field, followed by a geomagnetic disturbance with tens of seconds duration. This latter environment is referred to as the magnetohydrodynamic electromagnetic pulse (NMENT). Both the early-time transient and the geomagnetic disturbance could impact the operation of the nation's power systems. Since 1983, the US Department of Energy has been actively pursuing a research program to assess the potential impacts of one or more BENT events on the nation's electric energy supply. This report summarizes the results of that program and provides recommendations for enhancing power system reliability under HENT conditions. A nominal HENP environment suitable for assessing geographically large systems was developed during the program and is briefly described in this report. This environment was used to provide a realistic indication of BEMP impacts on electric power systems. It was found that a single high-altitude burst, which could significantly disturb the geomagnetic field, may cause the interconnected power network to break up into utility islands with massive power failures in some areas. However, permanent damage would be isolated, and restoration should be possible within a few hours. Multiple bursts would likely increase the blackout areas, component failures, and restoration time. However, a long-term blackout of many months is unlikely because major power system components, such as transformers, are not likely to be damaged by the nominal HEND environment. Moreover, power system reliability, under both HENT and normal operating conditions, can be enhanced by simple, and often low cost, modifications to current utility practices.

  1. Recommendations for an Executive Information System (EIS) for the NASA Accounting and Financial Information System (NAFIS)

    NASA Technical Reports Server (NTRS)

    Goss, Ernest Preston

    1991-01-01

    The objectives were to: (1) survey state-of-the-art computing architectures, tools, and technologies for implementing an Executive Information System (EIS); (2) review MSFC capabilities and efforts in developing an EIS for Shuttle Projects Office and the Payloads Project Office; (3) review management reporting requirements for the NASA Accounting and Financial Information System (NAFIS) Project in the areas of cost, schedule, and technical performance, and insure that the EIS fully supports these requirements; and (4) develop and implement a pilot concept for a NAFIS EIS. A summary of the findings of this work is presented.

  2. Docosahexaenoic acid (DHA) and the developing central nervous system (CNS) - Implications for dietary recommendations.

    PubMed

    Guesnet, Philippe; Alessandri, Jean-Marc

    2011-01-01

    The accretion of docosahexaenoic acid (DHA) in membranes of the central nervous system is required for the optimum development of retina and brain functions. DHA status is determined by the dietary intake of n-3 polyunsaturated fatty acids (PUFA), both the metabolic precursor α-linolenic acid (α-LNA) and DHA. Clinical studies have shown that feeding term or premature infants with formula low in total n-3 PUFA may alter the maturation of visual acuity. Moreover, feeding infants over the first 6 mon of life with formula containing adequate α-LNA, but no DHA, did not sustain the same cerebral accretion of DHA as that of breast-fed infants. Whether lower DHA accretion in brain of formula-fed term infants impairs neurophysiological performances is not clearly established. Contradictory data have been published, possibly owing to confounding factors such as maternal intakes and/or genetic variations in PUFA metabolism. Nevertheless, a large corpus of data is in favor of the recommendation of regular dietary intakes of DHA (during at least the first 6 mon of life) and suggest that DHA should be added in formulas at the level generally found in human milk (0.2-0.3 wt% of total fatty acids). The maternal intake of n-3 PUFA during pregnancy and lactation is also crucial, since the n-3 PUFA are provided during perinatal development through placental transfer and maternal milk, which determines the DHA status of the newborn and consequently impacts on post-natal development of brain and visual functions. Whether more clinical studies are needed to control and improve the impact of DHA maternal intakes on the progeny's neurodevelopment, several commissions recommended by precaution that DHA average intake for pregnant and lactating women should be of 200-300 mg/day. PMID:20478353

  3. The Credibility of Posted Information in a Recommender System Based on a Map

    NASA Astrophysics Data System (ADS)

    Yamamoto, Koji; Katagami, Daisuke; Nitta, Katsumi; Aiba, Akira; Kuwata, Hitoshi

    In this paper, we propose a method for estimating the credibility of the posted information from users. We incorporate this method in a system which recommends the route and destination using other user's posted information. Users can post information, and other users can refer to them. These information includes a picture, comment, genre, expiration date, and so on. The system displays these information on the map. Since posted information can include subjective information from various perspectives, we can't trust all of the postings as they are. We propose and integrate two factors of credibility of posted information. First, credibility of voting by other users is determined based on the posting user's own credibility and other users' credibility who approved or disapproved her/his posting information. The other is credibility of geographic posting tendency of the users. This credibility is determined based on dispersion of posted information on the map. From experimental results, we concluded our method measures credibility of posted information validly.

  4. Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce

    NASA Astrophysics Data System (ADS)

    Panniello, Umberto; Gorgoglione, Michele; Palmisano, Cosimo

    Recent literature predicts that including context in a recommender system may improve its performance. The context-based recommendation approaches are classified as pre-filtering, post-filtering and contextual modeling. Little research has been done on studying whether including context in a recommender system improves the recommendation performance and no research has compared yet the different approaches to contextual RS. The research contribution of this work lies in studying the effect of the context on the recommendation performance and comparing a pre-filtering approach to a post-filtering using a collaborative filtering recommender system.

  5. Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information

    PubMed Central

    2016-01-01

    Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regulation that attempts to strike the right balance and create a collective learning environment. In soft regulation mechanism, individual agents can accept, reject, or partially accept the regulator’s recommendation. This non-intrusive coordination does not interrupt normal operations. The extent to which an agent accepts the recommendation is mediated by a confidence level (from 0 to 100%). Among all possible recommendation methods, we investigate two in particular: the best recommendation wherein the regulator is completely informed and the crowd recommendation wherein the regulator collects the crowd’s average and recommends that value. We show by analysis and simulations that soft regulation with crowd recommendation performs well. It converges to optimum, and is as good as the best recommendation for a wide range of confidence levels. This work sheds a new theoretical perspective on the concept of the wisdom of crowds. PMID:26977699

  6. Soft Regulation with Crowd Recommendation: Coordinating Self-Interested Agents in Sociotechnical Systems under Imperfect Information.

    PubMed

    Luo, Yu; Iyengar, Garud; Venkatasubramanian, Venkat

    2016-01-01

    Regulating emerging industries is challenging, even controversial at times. Under-regulation can result in safety threats to plant personnel, surrounding communities, and the environment. Over-regulation may hinder innovation, progress, and economic growth. Since one typically has limited understanding of, and experience with, the novel technology in practice, it is difficult to accomplish a properly balanced regulation. In this work, we propose a control and coordination policy called soft regulation that attempts to strike the right balance and create a collective learning environment. In soft regulation mechanism, individual agents can accept, reject, or partially accept the regulator's recommendation. This non-intrusive coordination does not interrupt normal operations. The extent to which an agent accepts the recommendation is mediated by a confidence level (from 0 to 100%). Among all possible recommendation methods, we investigate two in particular: the best recommendation wherein the regulator is completely informed and the crowd recommendation wherein the regulator collects the crowd's average and recommends that value. We show by analysis and simulations that soft regulation with crowd recommendation performs well. It converges to optimum, and is as good as the best recommendation for a wide range of confidence levels. This work sheds a new theoretical perspective on the concept of the wisdom of crowds. PMID:26977699

  7. Expert systems for the evaluation of data quality for establishing the Recommended Dietary Allowances.

    PubMed

    Holden, J M

    1996-09-01

    In view of the important role that nutrient intake assessments play in establishing the Recommended Dietary Allowances (RDAs), the quality of food composition data must be assured for accuracy and representativeness. Assurance of data quality requires the definition of critical parameters in the data generation process and the evaluation of specific data for foods and components according to these parameters. An expert systems approach for evaluating the quality of analytical data has been developed by scientists at the Beltsville Human Nutrition Research Center to determine the quality of food composition data for five parameters: sampling plan, sample handling, number of samples, analytical method and analytical quality control. A rating scale for each parameter was developed with 0 representing poor or inadequately documented data and 3 representing optimal data. Specific criteria for each parameter and rating have been developed and incorporated into expert systems software to facilitate the objective assignment of ratings for each data source by the reviewer. After all ratings for a specific food-nutrient combination are assigned, the system calculates a composite score called the "confidence code" which indicates to the user the relative level of confidence in the data. By identifying and rating the important steps in the data generation process, one can begin to partition the possible sources of error or variability in the process. Limitation of the data set relative to specific purposes (e.g., setting the RDAs) can be identified. The evaluation process can provide the basis for focussed research to improve the most critical areas of the data generation process. A similar process could be established to evaluate the quality of analytical data for clinical measurements used to establish the RDAs. PMID:8811794

  8. Blade system design studies volume II : preliminary blade designs and recommended test matrix.

    SciTech Connect

    Griffin, Dayton A.

    2004-06-01

    As part of the U.S. Department of Energy's Wind Partnerships for Advanced Component Technologies (WindPACT) program, Global Energy Concepts, LLC is performing a Blade System Design Study (BSDS) concerning innovations in materials, processes and structural configurations for application to wind turbine blades in the multi-megawatt range. The BSDS Volume I project report addresses issues and constraints identified to scaling conventional blade designs to the megawatt size range, and evaluated candidate materials, manufacturing and design innovations for overcoming and improving large blade economics. The current report (Volume II), presents additional discussion of materials and manufacturing issues for large blades, including a summary of current trends in commercial blade manufacturing. Specifications are then developed to guide the preliminary design of MW-scale blades. Using preliminary design calculations for a 3.0 MW blade, parametric analyses are performed to quantify the potential benefits in stiffness and decreased gravity loading by replacement of a baseline fiberglass spar with carbon-fiberglass hybrid material. Complete preliminary designs are then presented for 3.0 MW and 5.0 MW blades that incorporate fiberglass-to-carbon transitions at mid-span. Based on analysis of these designs, technical issues are identified and discussed. Finally, recommendations are made for composites testing under Part I1 of the BSDS, and the initial planned test matrix for that program is presented.

  9. Technology assessment of future intercity passenger transportation systems. Volume 7: Study recommendations

    NASA Technical Reports Server (NTRS)

    1976-01-01

    Research and analysis tasks to alleviate negative impacts, to augment positive impacts, or to better understand the impacts produced by the potential introduction of the alternate transportation technologies are identified. The project team's recommendations on research and analysis efforts which have resulted from the technology assessment are provided. Many of the recommendations apply to the future supply of intercity passenger transportation services, categorized by mode. Other recommendations pertain to broad issues in intercity transportation--e.g., finance, regulation, traveler values--that will affect all modes.

  10. Toward a 21st-century health care system: recommendations for health care reform.

    PubMed

    Arrow, Kenneth; Auerbach, Alan; Bertko, John; Brownlee, Shannon; Casalino, Lawrence P; Cooper, Jim; Crosson, Francis J; Enthoven, Alain; Falcone, Elizabeth; Feldman, Robert C; Fuchs, Victor R; Garber, Alan M; Gold, Marthe R; Goldman, Dana; Hadfield, Gillian K; Hall, Mark A; Horwitz, Ralph I; Hooven, Michael; Jacobson, Peter D; Jost, Timothy Stoltzfus; Kotlikoff, Lawrence J; Levin, Jonathan; Levine, Sharon; Levy, Richard; Linscott, Karen; Luft, Harold S; Mashal, Robert; McFadden, Daniel; Mechanic, David; Meltzer, David; Newhouse, Joseph P; Noll, Roger G; Pietzsch, Jan B; Pizzo, Philip; Reischauer, Robert D; Rosenbaum, Sara; Sage, William; Schaeffer, Leonard D; Sheen, Edward; Silber, B Michael; Skinner, Jonathan; Shortell, Stephen M; Thier, Samuel O; Tunis, Sean; Wulsin, Lucien; Yock, Paul; Nun, Gabi Bin; Bryan, Stirling; Luxenburg, Osnat; van de Ven, Wynand P M M

    2009-04-01

    The coverage, cost, and quality problems of the U.S. health care system are evident. Sustainable health care reform must go beyond financing expanded access to care to substantially changing the organization and delivery of care. The FRESH-Thinking Project (www.fresh-thinking.org) held a series of workshops during which physicians, health policy experts, health insurance executives, business leaders, hospital administrators, economists, and others who represent diverse perspectives came together. This group agreed that the following 8 recommendations are fundamental to successful reform: 1. Replace the current fee-for-service payment system with a payment system that encourages and rewards innovation in the efficient delivery of quality care. The new payment system should invest in the development of outcome measures to guide payment. 2. Establish a securely funded, independent agency to sponsor and evaluate research on the comparative effectiveness of drugs, devices, and other medical interventions. 3. Simplify and rationalize federal and state laws and regulations to facilitate organizational innovation, support care coordination, and streamline financial and administrative functions. 4. Develop a health information technology infrastructure with national standards of interoperability to promote data exchange. 5. Create a national health database with the participation of all payers, delivery systems, and others who own health care data. Agree on methods to make de-identified information from this database on clinical interventions, patient outcomes, and costs available to researchers. 6. Identify revenue sources, including a cap on the tax exclusion of employer-based health insurance, to subsidize health care coverage with the goal of insuring all Americans. 7. Create state or regional insurance exchanges to pool risk, so that Americans without access to employer-based or other group insurance could obtain a standard benefits package through these exchanges

  11. The Use of Research Evidence in Two International Organizations' Recommendations about Health Systems

    PubMed Central

    Hoffman, Steven J.; Lavis, John N.; Bennett, Sara

    2009-01-01

    Background: Little is known about the extent to which research evidence informs the development of recommendations by international organizations. Methods: We identified specific World Health Organization (WHO) and World Bank recommendations on five topics (contracting, healthcare financing, health human resources, tuberculosis control and tobacco control), catalogued the related systematic reviews and assessed the recommendations to determine their consistency with the systematic reviews that were available at the time of their formulation. Findings: Only two of the eight publications examined were found to cite systematic reviews, and only five of 14 WHO and two of seven World Bank recommendations were consistent with both the direction and nature of effect claims from systematic reviews. Ten of 14 WHO and five of seven World Bank recommendations were consistent with the direction of effect claims only. Conclusion: WHO and the World Bank – working with donor agencies and national governments – can improve their use of (or at least, their reporting about their use of) research evidence. Decision-makers and clinicians should critically evaluate the quality and local applicability of recommendations from any source, including international organizations, prior to their implementation. PMID:20676252

  12. Customized recommendations for production management clusters of North American automatic milking systems.

    PubMed

    Tremblay, Marlène; Hess, Justin P; Christenson, Brock M; McIntyre, Kolby K; Smink, Ben; van der Kamp, Arjen J; de Jong, Lisanne G; Döpfer, Dörte

    2016-07-01

    Automatic milking systems (AMS) are implemented in a variety of situations and environments. Consequently, there is a need to characterize individual farming practices and regional challenges to streamline management advice and objectives for producers. Benchmarking is often used in the dairy industry to compare farms by computing percentile ranks of the production values of groups of farms. Grouping for conventional benchmarking is commonly limited to the use of a few factors such as farms' geographic region or breed of cattle. We hypothesized that herds' production data and management information could be clustered in a meaningful way using cluster analysis and that this clustering approach would yield better peer groups of farms than benchmarking methods based on criteria such as country, region, breed, or breed and region. By applying mixed latent-class model-based cluster analysis to 529 North American AMS dairy farms with respect to 18 significant risk factors, 6 clusters were identified. Each cluster (i.e., peer group) represented unique management styles, challenges, and production patterns. When compared with peer groups based on criteria similar to the conventional benchmarking standards, the 6 clusters better predicted milk produced (kilograms) per robot per day. Each cluster represented a unique management and production pattern that requires specialized advice. For example, cluster 1 farms were those that recently installed AMS robots, whereas cluster 3 farms (the most northern farms) fed high amounts of concentrates through the robot to compensate for low-energy feed in the bunk. In addition to general recommendations for farms within a cluster, individual farms can generate their own specific goals by comparing themselves to farms within their cluster. This is very comparable to benchmarking but adds the specific characteristics of the peer group, resulting in better farm management advice. The improvement that cluster analysis allows for is

  13. Robust Collaborative Recommendation

    NASA Astrophysics Data System (ADS)

    Burke, Robin; O'Mahony, Michael P.; Hurley, Neil J.

    Collaborative recommender systems are vulnerable to malicious users who seek to bias their output, causing them to recommend (or not recommend) particular items. This problem has been an active research topic since 2002. Researchers have found that the most widely-studied memory-based algorithms have significant vulnerabilities to attacks that can be fairly easily mounted. This chapter discusses these findings and the responses that have been investigated, especially detection of attack profiles and the implementation of robust recommendation algorithms.

  14. The Effect of Recommendation Systems on Internet-Based Learning for Different Learners: A Data Mining Analysis

    ERIC Educational Resources Information Center

    Liu, Chen-Chung; Chang, Chia-Jung; Tseng, Jui-Min

    2013-01-01

    A general challenge facing Internet-based learners is how to identify information objects which are helpful in expanding their understanding of important information in a domain. Recommendation systems may assist learners in identifying potentially helpful information objects. However, the recent literature mainly focuses on the technical…

  15. A Generic Framework for Extraction of Knowledge from Social Web Sources (Social Networking Websites) for an Online Recommendation System

    ERIC Educational Resources Information Center

    Sathick, Javubar; Venkat, Jaya

    2015-01-01

    Mining social web data is a challenging task and finding user interest for personalized and non-personalized recommendation systems is another important task. Knowledge sharing among web users has become crucial in determining usage of web data and personalizing content in various social websites as per the user's wish. This paper aims to design a…

  16. An Analysis of New Jersey Postsecondary Education Expenditures: The Current System (FY 76) and the Commission Recommendations.

    ERIC Educational Resources Information Center

    New Jersey State Commission on Financing Postsecondary Education, Trenton.

    The current system of financing postsecondary education in New Jersey and that proposed by the Booher Commission in its final report, "Financing in an Era of Uncertainty," are compared. The Booher Commission was a public, blue ribbon commission appointed by the New Jersey Board of Higher Education. Implementation of the recommendations of the…

  17. Recommended electromagnetic operating envelopes for safety-related I and C systems in nuclear power plants: Draft report for comment

    SciTech Connect

    Ewing, P.D.; Wood, R.T.

    1997-12-01

    This document presents recommendations for electromagnetic operating envelopes to augment test criteria and test methods addressing electromagnetic interference (EMI), radio-frequency interference (RFI), and power surges that are applicable to safety-related instrumentation and control (I and C) systems in nuclear power plants. The Oak Ridge National Laboratory (ORNL) was engaged by the US Nuclear Regulatory Commission (NRC) Office of Nuclear Regulatory Research to assist in developing the technical basis for regulatory guidance on EMI/RFI immunity and power surge withstand capability (SWC). Previous research has provided recommendations on electromagnetic compatibility (EMC) design and installation practices, endorsement of EMI/RFI immunity and SWC test criteria and test methods, and determination of ambient electromagnetic conditions at nuclear power plants. The present research involves development of recommended electromagnetic envelopes that are applicable to nuclear power plant locations where safety-related I and C systems either are or may be installed. These recommended envelopes establish both emissions criteria and the levels of radiated and conducted interference that I and C systems should be able to withstand without upset or malfunction. The EMI/RFI operating envelopes are derived from conditions in comparable military environments and are confirmed by comparison with the nuclear power plant electromagnetic environment based on measured plant emissions profiles. Detailed information on specific power surge conditions in nuclear power plants is not available, so industrial guidance on representative surge characteristics for susceptibility testing is adopted. An engineering assessment of the power surge environment in nuclear power plants leads to the recommendation of operating envelopes based on location categories and exposure levels defined in IEEE Std C62.41-1991, IEEE Recommended Practice on Surge Voltages in Low-Voltage AC Power Circuits.

  18. Veterinary Medicine Program Review. State University System of Florida. Consultant's Report and Recommendations.

    ERIC Educational Resources Information Center

    Anderson, David P.

    This report reviews the University of Florida's College of Veterinary Medicine and provides an analysis of the institution's strengths and weaknesses, along with recommendations to improve the college's programs. It examines the college's degree programs, students, faculty, facilities, and resources, as well as actions taken to meet…

  19. RECOMMENDED OPERATING PROCEDURE NO. 51: GLASS SOURCE ASSESSMENT SAMPLING SYSTEM (GLASS SASS)

    EPA Science Inventory

    The report is a recommended operating procedure (ROP), prepared for use in research activities conducted by EPA's Air and Energy Engineering Research Laboratory (AEERL). he method described is applicable to the stack sampling of flue gas from a rotary kiln and to associated equip...

  20. The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems

    PubMed Central

    Reafee, Waleed; Salim, Naomie; Khan, Atif

    2016-01-01

    The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems. However, these methods only exploited the explicit social relations and almost completely ignored the implicit social relations. In this article, we firstly propose an algorithm to extract the implicit relation in the undirected graphs of social networks by exploiting the link prediction techniques. Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship. We evaluate our proposed approach on two real datasets, Last.Fm and Douban. The experimental results show that our method performs much better than the state-of-the-art approaches, which indicates the importance of incorporating implicit social relations in the recommendation process to address the poor prediction accuracy. PMID:27152663

  1. Crafting a Balanced System of Assessment in Wisconsin. Recommendations of the Next Generation Assessment Task Force

    ERIC Educational Resources Information Center

    Wisconsin Department of Public Instruction, 2009

    2009-01-01

    The Next Generation Assessment Task Force was convened to formulate Wisconsin's path forward. Task force members listened to leaders from business and technology sectors as well as leaders from PK-12 and higher education. This summary shares the process, definitions, assumptions, and recommendations of the task force. This paper aims to use these…

  2. The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems.

    PubMed

    Reafee, Waleed; Salim, Naomie; Khan, Atif

    2016-01-01

    The explosive growth of social networks in recent times has presented a powerful source of information to be utilized as an extra source for assisting in the social recommendation problems. The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems. However, these methods only exploited the explicit social relations and almost completely ignored the implicit social relations. In this article, we firstly propose an algorithm to extract the implicit relation in the undirected graphs of social networks by exploiting the link prediction techniques. Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship. We evaluate our proposed approach on two real datasets, Last.Fm and Douban. The experimental results show that our method performs much better than the state-of-the-art approaches, which indicates the importance of incorporating implicit social relations in the recommendation process to address the poor prediction accuracy. PMID:27152663

  3. Assessment of older drivers in New Zealand: the current system, research and recommendations.

    PubMed

    Hoggarth, Petra; Innes, Carrie; Dalrymple-Alford, John; Croucher, Matthew; Severinsen, Julie; Gray, Jane; Oxley, Jenny; Brook, Barbara; Abernethy, Paul; Jones, Richard

    2011-09-01

    The purpose of this article is to clarify the current New Zealand driving licensing requirements for older adults and to provide practical recommendations for those health professionals who make decisions regarding driving ability in older adults. Health professionals involved in the assessment of older drivers were asked to clarify areas where more efficient use could be made of assessment resources. A review of driving literature was performed to find specific factors associated with increased risk of negative driving outcomes in older adults. Particular attention was paid to the suitability of different types of on-road assessment for certain patient groups, the effect of specific diseases and medications on driving safety, and the effect of cognitive impairment. A list of seven recommendations were compiled which include a focus on appropriate on-road driving assessment referral, driver refresher courses, cognitive screening for those presenting for licence renewal and sensitive broaching of the topic of driving cessation. PMID:21923709

  4. Earth Observatory Satellite system definition study. Report no. 4: Management approach recommendations

    NASA Technical Reports Server (NTRS)

    1974-01-01

    A management approach for the Earth Observatory Satellite (EOS) which will meet the challenge of a constrained cost environment is presented. Areas of consideration are contracting techniques, test philosophy, reliability and quality assurance requirements, commonality options, and documentation and control requirements. The various functional areas which were examined for cost reduction possibilities are identified. The recommended management approach is developed to show the primary and alternative methods.

  5. Earth Observatory Satellite system definition study. Report 4: Low cost management approach and recommendations

    NASA Technical Reports Server (NTRS)

    1974-01-01

    An analysis of low cost management approaches for the development of the Earth Observatory Satellite (EOS) is presented. The factors of the program which tend to increase costs are identified. The NASA/Industry interface is stressed to show how the interface can be improved to produce reduced program costs. Techniques and examples of cost reduction which can be applied to the EOS program are tabulated. Specific recommendations for actions to be taken to reduce costs in prescribed areas are submitted.

  6. HerDing: herb recommendation system to treat diseases using genes and chemicals

    PubMed Central

    Choi, Wonjun; Choi, Chan-Hun; Kim, Young Ran; Kim, Seon-Jong; Na, Chang-Su; Lee, Hyunju

    2016-01-01

    In recent years, herbs have been researched for new drug candidates because they have a long empirical history of treating diseases and are relatively free from side effects. Studies to scientifically prove the medical efficacy of herbs for target diseases often spend a considerable amount of time and effort in choosing candidate herbs and in performing experiments to measure changes of marker genes when treating herbs. A computational approach to recommend herbs for treating diseases might be helpful to promote efficiency in the early stage of such studies. Although several databases related to traditional Chinese medicine have been already developed, there is no specialized Web tool yet recommending herbs to treat diseases based on disease-related genes. Therefore, we developed a novel search engine, HerDing, focused on retrieving candidate herb-related information with user search terms (a list of genes, a disease name, a chemical name or an herb name). HerDing was built by integrating public databases and by applying a text-mining method. The HerDing website is free and open to all users, and there is no login requirement. Database URL: http://combio.gist.ac.kr/herding PMID:26980517

  7. HerDing: herb recommendation system to treat diseases using genes and chemicals.

    PubMed

    Choi, Wonjun; Choi, Chan-Hun; Kim, Young Ran; Kim, Seon-Jong; Na, Chang-Su; Lee, Hyunju

    2016-01-01

    In recent years, herbs have been researched for new drug candidates because they have a long empirical history of treating diseases and are relatively free from side effects. Studies to scientifically prove the medical efficacy of herbs for target diseases often spend a considerable amount of time and effort in choosing candidate herbs and in performing experiments to measure changes of marker genes when treating herbs. A computational approach to recommend herbs for treating diseases might be helpful to promote efficiency in the early stage of such studies. Although several databases related to traditional Chinese medicine have been already developed, there is no specialized Web tool yet recommending herbs to treat diseases based on disease-related genes. Therefore, we developed a novel search engine, HerDing, focused on retrieving candidate herb-related information with user search terms (a list of genes, a disease name, a chemical name or an herb name). HerDing was built by integrating public databases and by applying a text-mining method. The HerDing website is free and open to all users, and there is no login requirement. Database URL: http://combio.gist.ac.kr/herding. PMID:26980517

  8. Matching Recommendation Technologies and Domains

    NASA Astrophysics Data System (ADS)

    Burke, Robin; Ramezani, Maryam

    Recommender systems form an extremely diverse body of technologies and approaches. The chapter aims to assist researchers and developers to identify the recommendation technologies that are most likely to be applicable to different domains of recommendation. Unlike other taxonomies of recommender systems, our approach is centered on the question of knowledge: what knowledge does a recommender system need in order to function, and where does that knowledge come from? Different recommendation domains (books vs condominiums, for example) provide different opportunities for the gathering and application of knowledge. These considerations give rise to a mapping between domain characteristics and recommendation technologies.

  9. Municipal water-based heat pump heating and/or cooling systems: Findings and recommendations. Final report

    SciTech Connect

    Bloomquist, R.G.; Wegman, S.

    1998-04-01

    The purpose of the present work was to determine if existing heat pump systems based on municipal water systems meet existing water quality standards, to analyze water that has passed through a heat pump or heat exchanger to determine if corrosion products can be detected, to determine residual chlorine levels in municipal waters on the inlet as well as the outlet side of such installations, to analyses for bacterial contaminants and/or regrowth due to the presence of a heat pump or heat exchanger, to develop and suggest criteria for system design and construction, to provide recommendations and specifications for material and fluid selection, and to develop model rules and regulations for the installation, operation, and monitoring of new and existing systems. In addition, the Washington State University (WSU) has evaluated availability of computer models that would allow for water system mapping, water quality modeling and system operation.

  10. Recommended Paperbacks.

    ERIC Educational Resources Information Center

    Horn Book Magazine, 1980

    1980-01-01

    Lists recommended paperback books for children in the following categories: picture books; stories for younger, for intermediate, and for older readers; folklore, legend, and mythology; and nonfiction. Tells if and when the original editions were reviewed in this journal. (GT)

  11. Thermal energy supply optimization for aberdeen proving ground - edgewood area. Distribution system condition assessment and recommendations. Final report

    SciTech Connect

    VanBlaricum, V.L.; Marsh, C.P.; Hock, V.F.

    1995-05-01

    This report documents the results of a study by the U.S. Army Construction Engineering Research Laboratories to assess the condition of the steam heat distribution system at Aberdeen Proving Ground (APG)-Edgewood Area (EA), MD. This report documents the portion of the study that addressed widespread corrosion and deterioration existing throughout the aging system. A physical inventory of the steam distribution system piping and manholes was conducted. A visual condition assessment of a significant portion of the system was performed. Factors that impact the deterioration of the system were assessed, including soil chemistry, cathodic protection, and chemistry of the products conveyed by the system. The authors developed a detailed set of recommendations that includes (1) replacement or rehabilitation of severely deteriorated, unsafe or improperly functioning components. (2) implementation of an effective ongoing maintenance program tailored to the specific corrosion and deterioration problems at APG-EA, and (3) recommendations to ensure that new construction is performed in accordance with current Army standards and guidance.

  12. A Revised Classification System and Recommendations From the Baltimore Consensus Meeting for Neoplastic Precursor Lesions in the Pancreas.

    PubMed

    Basturk, Olca; Hong, Seung-Mo; Wood, Laura D; Adsay, N Volkan; Albores-Saavedra, Jorge; Biankin, Andrew V; Brosens, Lodewijk A A; Fukushima, Noriyoshi; Goggins, Michael; Hruban, Ralph H; Kato, Yo; Klimstra, David S; Klöppel, Günter; Krasinskas, Alyssa; Longnecker, Daniel S; Matthaei, Hanno; Offerhaus, G Johan A; Shimizu, Michio; Takaori, Kyoichi; Terris, Benoit; Yachida, Shinichi; Esposito, Irene; Furukawa, Toru

    2015-12-01

    International experts met to discuss recent advances and to revise the 2004 recommendations for assessing and reporting precursor lesions to invasive carcinomas of the pancreas, including pancreatic intraepithelial neoplasia (PanIN), intraductal papillary mucinous neoplasm (IPMN), mucinous cystic neoplasm, and other lesions. Consensus recommendations include the following: (1) To improve concordance and to align with practical consequences, a 2-tiered system (low vs. high grade) is proposed for all precursor lesions, with the provision that the current PanIN-2 and neoplasms with intermediate-grade dysplasia now be categorized as low grade. Thus, "high-grade dysplasia" is to be reserved for only the uppermost end of the spectrum ("carcinoma in situ"-type lesions). (2) Current data indicate that PanIN of any grade at a margin of a resected pancreas with invasive carcinoma does not have prognostic implications; the clinical significance of dysplasia at a margin in a resected pancreas with IPMN lacking invasive carcinoma remains to be determined. (3) Intraductal lesions 0.5 to 1 cm can be either large PanINs or small IPMNs. The term "incipient IPMN" should be reserved for lesions in this size with intestinal or oncocytic papillae or GNAS mutations. (4) Measurement of the distance between an IPMN and invasive carcinoma and sampling of intervening tissue are recommended to assess concomitant versus associated status. Conceptually, concomitant invasive carcinoma (in contrast with the "associated" group) ought to be genetically distinct from an IPMN elsewhere in the gland. (5) "Intraductal spread of invasive carcinoma" (aka, "colonization") is recommended to describe lesions of invasive carcinoma invading back into and extending along the ductal system, which may morphologically mimic high-grade PanIN or even IPMN. (6) "Simple mucinous cyst" is recommended to describe cysts >1 cm having gastric-type flat mucinous lining at most minimal atypia without ovarian-type stroma to

  13. Coming to terms with coming out: review and recommendations for family systems-focused research.

    PubMed

    Heatherington, Laurie; Lavner, Justin A

    2008-06-01

    For lesbian, gay, and bisexual (LGB) adolescents and young adults, coming out to family members, especially parents, is a major psychological decision and hurdle due to both perceived fears and actual negative consequences. But beyond the literature on factors associated with the decision to come out and parents' initial reactions to the disclosure, empirical studies of what unfolds afterward, and how the family adjusts to the LGB adolescent's identity over time, are sparse and scattered. This article reviews and integrates findings from studies of the individual-, dyadic-, and family-level variables associated with positive outcomes, focusing particularly on relationship variables. Methodological concerns within this body of research are discussed, and research recommendations are offered. A preliminary working model of how families successfully come to terms with coming out is proposed to guide future research that will advance theory and clinical work with LGB youth and their families. PMID:18540762

  14. Advanced power generation systems for the 21st Century: Market survey and recommendations for a design philosophy

    SciTech Connect

    Andriulli, J.B.; Gates, A.E.; Haynes, H.D.; Klett, L.B.; Matthews, S.N.; Nawrocki, E.A.; Otaduy, P.J.; Scudiere, M.B.; Theiss, T.J.; Thomas, J.F.; Tolbert, L.M.; Yauss, M.L.; Voltz, C.A.

    1999-11-01

    The purpose of this report is to document the results of a study designed to enhance the performance of future military generator sets (gen-sets) in the medium power range. The study includes a market survey of the state of the art in several key component areas and recommendations comprising a design philosophy for future military gen-sets. The market survey revealed that the commercial market is in a state of flux, but it is currently or will soon be capable of providing the technologies recommended here in a cost-effective manner. The recommendations, if implemented, should result in future power generation systems that are much more functional than today's gen-sets. The number of differing units necessary (both family sizes and frequency modes) to cover the medium power range would be decreased significantly, while the weight and volume of each unit would decrease, improving the transportability of the power source. Improved fuel economy and overall performance would result from more effective utilization of the prime mover in the generator. The units would allow for more flexibility and control, improved reliability, and more effective power management in the field.

  15. CI-KNOW: Cyberinfrastructure Knowledge Networks on the Web. A Social Network Enabled Recommender System for Locating Resources in Cyberinfrastructures

    NASA Astrophysics Data System (ADS)

    Green, H. D.; Contractor, N. S.; Yao, Y.

    2006-12-01

    A knowledge network is a multi-dimensional network created from the interactions and interconnections among the scientists, documents, data, analytic tools, and interactive collaboration spaces (like forums and wikis) associated with a collaborative environment. CI-KNOW is a suite of software tools that leverages automated data collection, social network theories, analysis techniques and algorithms to infer an individual's interests and expertise based on their interactions and activities within a knowledge network. The CI-KNOW recommender system mines the knowledge network associated with a scientific community's use of cyberinfrastructure tools and uses relational metadata to record connections among entities in the knowledge network. Recent developments in social network theories and methods provide the backbone for a modular system that creates recommendations from relational metadata. A network navigation portlet allows users to locate colleagues, documents, data or analytic tools in the knowledge network and to explore their networks through a visual, step-wise process. An internal auditing portlet offers administrators diagnostics to assess the growth and health of the entire knowledge network. The first instantiation of the prototype CI-KNOW system is part of the Environmental Cyberinfrastructure Demonstration project at the National Center for Supercomputing Applications, which supports the activities of hydrologic and environmental science communities (CLEANER and CUAHSI) under the umbrella of the WATERS network environmental observatory planning activities (http://cleaner.ncsa.uiuc.edu). This poster summarizes the key aspects of the CI-KNOW system, highlighting the key inputs, calculation mechanisms, and output modalities.

  16. Intraoperative laser angiography using the SPY system: review of the literature and recommendations for use

    PubMed Central

    2013-01-01

    Inadequate tissue perfusion is a key contributor to early complications following reconstructive procedures. Accurate and reliable intraoperative evaluation of tissue perfusion is critical to reduce complications and improve clinical outcomes. Clinical judgment is the most commonly used method for evaluating blood supply, but when used alone, is not always completely reliable. A variety of other methodologies have been evaluated, including Doppler devices, tissue oximetry, and fluorescein, among others. However, none have achieved widespread acceptance. Recently, intraoperative laser angiography using indocyanine green was introduced to reconstructive surgery. This vascular imaging technology provides real-time assessment of tissue perfusion that correlates with clinical outcomes and can be used to guide surgical decision making. Although this technology has been used for decades in other areas, surgeons may not be aware of its utility for perfusion assessment in reconstructive surgery. A group of experts with extensive experience with intraoperative laser angiography convened to identify key issues in perfusion assessment, review available methodologies, and produce initial recommendations for the use of this technology in reconstructive procedures. PMID:23289664

  17. Emergency care and health systems: consensus-based recommendations and future research priorities.

    PubMed

    Calvello, Emilie J B; Broccoli, Morgan; Risko, Nicholas; Theodosis, Christian; Totten, Vicken Y; Radeos, Michael S; Seidenberg, Phil; Wallis, Lee

    2013-12-01

    The theme of the 14th annual Academic Emergency Medicine consensus conference was "Global Health and Emergency Care: A Research Agenda." The goal of the conference was to create a robust and measurable research agenda for evaluating emergency health care delivery systems. The concept of health systems includes the organizations, institutions, and resources whose primary purpose is to promote, restore, and/or maintain health. This article further conceptualizes the vertical and horizontal delivery of acute and emergency care in low-resource settings by defining specific terminology for emergency care platforms and discussing how they fit into broader health systems models. This was accomplished through discussion surrounding four principal questions touching upon the interplay between health systems and acute and emergency care. This research agenda is intended to assist countries that are in the early stages of integrating emergency services into their health systems and are looking for guidance to maximize their development and health systems planning efforts. PMID:24341583

  18. [Recommendations for the control of documents and the establishment of a documentary system].

    PubMed

    Vinner, E

    2013-06-01

    The quality management system that must be implemented in a MBL to meet the requirements of the standard NF EN ISO 15189 is based, among other things, on the creation and use by staff of a documentary system approved and updated. This documentary system is constituted by external documents (standards, suppliers' documents...) and internal documents (quality manual, procedures, instructions, technical and quality recordings...). A procedure of the documentary system control must be formalized. The documentary system should be modeled in order to identify the various procedures to be drafted and the incurred risks in the case a document would be missing in this system. Each document must be indexed in a unique way and document management must be carried out rigorously. The use of document management software is a great help to manage the life cycle of documents. PMID:23765015

  19. Building system integration research: recommendations for a US Department of Energy multiyear program plan

    SciTech Connect

    Not Available

    1986-01-01

    This plan describes the scope, technical content, and resources required to conduct the Building System Integration (BSI) research program during FY 1987 through 1991. System integration research is defined, the need for the research is discussed, its benefits are outlined, and the history of building system integration research is summarized. The program scope, the general approach taken in developing this program plan, and the plan's contents are also described.

  20. ISSOE. Field Test--Prototype Student Reporting System for ISSOE. Final Report, Findings and Recommendations.

    ERIC Educational Resources Information Center

    Cornell Univ., Ithaca, NY. Inst. for Research and Development in Occupational Education.

    A prototype manual Instructional Support System for Occupational Education (ISSOE) student reporting system (SRS) developed in 1977-78 (see note) was field tested to determine the feasibility of collecting data on student progress from teachers, processing it at a central location, and returning student informational forms to teachers and…

  1. The Florida Public Broadcasting System. Report and Recommendations of the Postsecondary Education Planning Commission. Report 3.

    ERIC Educational Resources Information Center

    Florida State Postsecondary Education Commission, Tallahassee.

    This study of the Florida Public Broadcasting Program System, which was conducted by the Program Committee of the Postsecondary Education Planning Commission, focused on five basic issues: (1) What are the current policies and procedures for determining how to add public broadcasting stations to Florida's system? (2) How should Florida fund public…

  2. Recommendations for the use of chemoembolization in patients with hepatocellular carcinoma: Usefulness of scoring system?

    PubMed Central

    Adhoute, Xavier; Penaranda, Guillaume; Castellani, Paul; Perrier, Herve; Bourliere, Marc

    2015-01-01

    Several hepatocellular carcinoma (HCC) staging systems have been established, and a variety of country-specific treatment strategies are also proposed. The barcelona - clinic liver cancer (BCLC) system is the most widely used in Europe. The Hong Kong liver Cancer is a new prognostic staging system; it might become the reference system in Asia. Transarterial chemoembolization (TACE) is the most widely used treatment for HCC worldwide; but it showed a benefit only for intermediate stage HCC (BCLC B), and there is still no consensus concerning treatment methods and treatment strategies. In view of the highly diverse nature of HCC and practices, a scoring system designed to assist with decision making before the first TACE is performed or prior to repeating the procedure would be highly useful. PMID:25848475

  3. Advanced turboprop testbed systems study. Volume 1: Testbed program objectives and priorities, drive system and aircraft design studies, evaluation and recommendations and wind tunnel test plans

    NASA Technical Reports Server (NTRS)

    Bradley, E. S.; Little, B. H.; Warnock, W.; Jenness, C. M.; Wilson, J. M.; Powell, C. W.; Shoaf, L.

    1982-01-01

    The establishment of propfan technology readiness was determined and candidate drive systems for propfan application were identified. Candidate testbed aircraft were investigated for testbed aircraft suitability and four aircraft selected as possible propfan testbed vehicles. An evaluation of the four candidates was performed and the Boeing KC-135A and the Gulfstream American Gulfstream II recommended as the most suitable aircraft for test application. Conceptual designs of the two recommended aircraft were performed and cost and schedule data for the entire testbed program were generated. The program total cost was estimated and a wind tunnel program cost and schedule is generated in support of the testbed program.

  4. Performance evaluation of three computed radiography systems using methods recommended in American Association of Physicists in Medicine Report 93.

    PubMed

    Muhogora, Wilbroad; Padovani, Renato; Bonutti, Faustino; Msaki, Peter; Kazema, R

    2011-07-01

    The performances of three clinical computed radiography (CR) systems, (Agfa CR 75 (with CRMD 4.0 image plates), Kodak CR 850 (with Kodak GP plates) and Kodak CR 850A (with Kodak GP plates)) were evaluated using six tests recommended in American Association of Physicists in Medicine Report 93. The results indicated variable performances with majority being within acceptable limits. The variations were mainly attributed to differences in detector formulations, plate readers' characteristics, and aging effects. The differences of the mean low contrast scores between the imaging systems for three observers were statistically significant for Agfa and Kodak CR 850A (P=0.009) and for Kodak CR systems (P=0.006) probably because of the differences in ages. However, the differences were not statistically significant between Agfa and Kodak CR 850 (P=0.284) suggesting similar perceived image quality. The study demonstrates the need to implement quality control program regularly. PMID:21897559

  5. Earth Observatory Satellite system definition study. Report 1: Orbit/launch vehicle trade-off studies and recommendations

    NASA Technical Reports Server (NTRS)

    1974-01-01

    A summary of the constraints and requirements on the Earth Observatory Satellite (EOS-A) orbit and launch vehicle analysis is presented. The propulsion system (hydrazine) and the launch vehicle (Delta 2910) selected for EOS-A are examined. The rationale for the selection of the recommended orbital altitude of 418 nautical miles is explained. The original analysis was based on the EOS-A mission with the Thematic Mapper and the High Resolution Pointable Imager. The impact of the revised mission model is analyzed to show how the new mission model affects the previously defined propulsion system, launch vehicle, and orbit. A table is provided to show all aspects of the EOS multiple mission concepts. The subjects considered include the following: (1) mission orbit analysis, (2) spacecraft parametric performance analysis, (3) launch system performance analysis, and (4) orbits/launch vehicle selection.

  6. Performance evaluation of three computed radiography systems using methods recommended in American Association of Physicists in Medicine Report 93

    PubMed Central

    Muhogora, Wilbroad; Padovani, Renato; Bonutti, Faustino; Msaki, Peter; Kazema, R.

    2011-01-01

    The performances of three clinical computed radiography (CR) systems, (Agfa CR 75 (with CRMD 4.0 image plates), Kodak CR 850 (with Kodak GP plates) and Kodak CR 850A (with Kodak GP plates)) were evaluated using six tests recommended in American Association of Physicists in Medicine Report 93. The results indicated variable performances with majority being within acceptable limits. The variations were mainly attributed to differences in detector formulations, plate readers’ characteristics, and aging effects. The differences of the mean low contrast scores between the imaging systems for three observers were statistically significant for Agfa and Kodak CR 850A (P=0.009) and for Kodak CR systems (P=0.006) probably because of the differences in ages. However, the differences were not statistically significant between Agfa and Kodak CR 850 (P=0.284) suggesting similar perceived image quality. The study demonstrates the need to implement quality control program regularly. PMID:21897559

  7. Orbit determination software development for microprocessor based systems: Evaluation and recommendations

    NASA Technical Reports Server (NTRS)

    Shenitz, C. M.; Mcgarry, F. E.; Tasaki, K. K.

    1980-01-01

    A guide is presented for National Aeronautics and Space Administration management personnel who stand to benefit from the lessons learned in developing microprocessor-based flight dynamics software systems. The essential functional characteristics of microprocessors are presented. The relevant areas of system support software are examined, as are the distinguishing characteristics of flight dynamics software. Design examples are provided to illustrate the major points presented, and actual development experience obtained in this area is provided as evidence to support the conclusions reached.

  8. Earth Observatory Satellite system definition study. Report 3: Design cost trade-off studies and recommendations

    NASA Technical Reports Server (NTRS)

    1974-01-01

    An analysis of the design and cost tradeoff aspects of the Earth Observatory Satellite (EOS) development is presented. The design/cost factors that affect a series of mission/system level concepts are discussed. The subjects considered are as follows: (1) spacecraft subsystem cost tradeoffs, (2) ground system cost tradeoffs, and (3) program cost summary. Tables of data are provided to summarize the results of the analyses. Illustrations of the various spacecraft configurations are included.

  9. Enhanced Damage-Resistant Optics for Spaceflight Laser Systems: Workshop findings and recommendations

    NASA Technical Reports Server (NTRS)

    Schulze, Norman; Cimolino, Marc; Guenther, Arthur; Mcminn, Ted; Rainer, Frank; Schmid, Ansgar; Seitel, Steven C.; Soileau, M. J.; Theon, John S.; Walz, William

    1991-01-01

    NASA has defined a program to address critical laser-induced damage issues peculiar to its remote sensing systems. The Langley Research Center (LaRC), with input from the Goddard Space Flight Center (GSFC), has developed a program plan focusing on the certification of optical materials for spaceflight applications and the development of techniques to determine the reliability of such materials under extended laser exposures. This plan involves cooperative efforts between NASA and optics manufacturers to quantify the performance of optical materials for NASA systems and to ensure NASA's continued application of the highest quality optics possible for enhanced system reliability. A review panel was organized to assess NASA's optical damage concerns and to evaluate the effectiveness of the LaRC proposed program plan. This panel consisted of experts in the areas of laser-induced damage, optical coating manufacture, and the design and development of laser systems for space. The panel was presented information on NASA's current and planned laser remote sensing programs, laser-induced damage problems already encountered in NASA systems, and the proposed program plan to address these issues. Additionally, technical presentations were made on the state of the art in damage mechanisms, optical materials testing, and issues of coating manufacture germane to laser damage.

  10. Complications of systemic juvenile idiopathic arthritis: risk factors and management recommendations.

    PubMed

    Woerner, Andreas; von Scheven-Gête, Annette; Cimaz, Rolando; Hofer, Michaël

    2015-05-01

    Systemic juvenile idiopathic arthritis (SJIA) is an inflammatory condition characterized by fever, lymphadenopathy, arthritis, rash and serositis. Systemic inflammation has been associated with dysregulation of the innate immune system, suggesting that SJIA is an autoinflammatory disorder. IL-1 and IL-6 play a major role in the pathogenesis of SJIA, and treatment with IL-1 and IL-6 inhibitors has shown to be highly effective. However, complications of SJIA, including macrophage activation syndrome, limitations in functional outcome by arthritis and long-term damage from chronic inflammation, continue to be a major issue in SJIA patients' care. Translational research leading to a profound understanding of the cytokine crosstalk in SJIA and the identification of risk factors for SJIA complications will help to improve long-term outcome. PMID:25843554

  11. Early Screening for Risk of Reading Disabilities: Recommendations for a Four-Step Screening System.

    PubMed

    Gilbert, Jennifer K; Compton, Donald L; Fuchs, Douglas; Fuchs, Lynn S

    2012-12-01

    Response-to-intervention (RTI) models incorporate a screening process to identify students who appear to be at risk for learning disabilities (LDs). The purpose of this position article is to incorporate what is known about screening into a flexible, yet comprehensive screening system to help school psychologists and other school administrators in establishing school-specific screening procedures. The authors begin by discussing past. research on screening for reading disabilities (RDs) within the RTI framework. Then, they propose a four-step screening system advocating a short screener (Step I), progress monitoring (Step 2), follow-up testing (Step 3), and ongoing revision of procedures and cut scores (Step 4). Their goal is to improve screening within RTI systems with practical procedures to permit schools to implement state-of-the-art screening batteries that accurately and efficiently distinguish students who are at high risk for RD. PMID:24478613

  12. Implementation of the Garling recommendations can offer real hope for rescuing the New South Wales public hospital system.

    PubMed

    Stewart, Graeme J; Dwyer, John M

    2009-01-19

    Public hospital clinicians across Australia will relate to the problems described in the Garling report and endorse most of the recommendations to bring the system "back from the brink". Implementation is feasible but requires substantial culture change, which must re-engage clinicians and stem the flow of desertion to the private sector. It must also address the fundamental causes of the current crisis. Key recommendations involve a substantial change in governance, with a transfer of many areas of the New South Wales Department of Health's responsibility into four board-governed statutory authorities, where equal partnership between clinicians and managers will exist. Of Garling's "four pillars of reform", the greatly expanded role for the current clinician-led Greater Metropolitan Clinical Taskforce is a strong indication of the seriousness with which the Commissioner viewed the clinician-manager divide (which he likened to the Great Schism of 1054). The major omission in implementation is a failure to adequately address the loss of local accountability in hospitals since the abolition of area health service boards. Major change can occur without additional funding, but without substantial new money from the Australian Government, the public hospital system will not be pulled back from the brink. A better opportunity for true partnership of such importance between state and federal governments may not come again before it is too late. PMID:19236294

  13. Implementation of Recommendations from the One System Comparative Evaluation of the Hanford Tank Farms and Waste Treatment Plant Safety Bases

    SciTech Connect

    Garrett, Richard L.; Niemi, Belinda J.; Paik, Ingle K.; Buczek, Jeffrey A.; Lietzow, J.; McCoy, F.; Beranek, F.; Gupta, M.

    2013-11-07

    A Comparative Evaluation was conducted for One System Integrated Project Team to compare the safety bases for the Hanford Waste Treatment and Immobilization Plant Project (WTP) and Tank Operations Contract (TOC) (i.e., Tank Farms) by an Expert Review Team. The evaluation had an overarching purpose to facilitate effective integration between WTP and TOC safety bases. It was to provide One System management with an objective evaluation of identified differences in safety basis process requirements, guidance, direction, procedures, and products (including safety controls, key safety basis inputs and assumptions, and consequence calculation methodologies) between WTP and TOC. The evaluation identified 25 recommendations (Opportunities for Integration). The resolution of these recommendations resulted in 16 implementation plans. The completion of these implementation plans will help ensure consistent safety bases for WTP and TOC along with consistent safety basis processes. procedures, and analyses. and should increase the likelihood of a successful startup of the WTP. This early integration will result in long-term cost savings and significant operational improvements. In addition, the implementation plans lead to the development of eight new safety analysis methodologies that can be used at other U.S. Department of Energy (US DOE) complex sites where URS Corporation is involved.

  14. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.

    PubMed

    Luo, Xin; Zhou, MengChu; Li, Shuai; You, Zhuhong; Xia, Yunni; Zhu, Qingsheng

    2016-03-01

    Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a target matrix, which is critically important in collaborative filtering (CF)-based recommender systems. However, current NMF-based CF recommenders suffer from the problem of high computational and storage complexity, as well as slow convergence rate, which prevents them from industrial usage in context of big data. To address these issues, this paper proposes an alternating direction method (ADM)-based nonnegative latent factor (ANLF) model. The main idea is to implement the ADM-based optimization with regard to each single feature, to obtain high convergence rate as well as low complexity. Both computational and storage costs of ANLF are linear with the size of given data in the target matrix, which ensures high efficiency when dealing with extremely sparse matrices usually seen in CF problems. As demonstrated by the experiments on large, real data sets, ANLF also ensures fast convergence and high prediction accuracy, as well as the maintenance of nonnegativity constraints. Moreover, it is simple and easy to implement for real applications of learning systems. PMID:26011893

  15. New Tactics for Building: Experience/Analysis/Recommendations from the Detroit Public Schools Construction Systems Program.

    ERIC Educational Resources Information Center

    Cleland, Wallace B., Ed.

    This study is focused on organizational and procedural aspects of the Construction Systems Program (CSP), a developmental/demonstration project. The report is derived principally from practical observations by 42 active participants (architects, engineers, contractors, construction managers, owner's staff) in a four-school pilot program. Also…

  16. Summary and Final Recommendations of the University System of Georgia's African-American Male Initiative.

    ERIC Educational Resources Information Center

    Georgia Univ. System, Atlanta. Board of Regents.

    In 2000, the University System of Georgia (USG) verified that USG institutions enrolled a low percentage of African American males in comparison with the percentage of African American males in the state's population. In 2001, the USG developed a special funding initiative to conduct a study of barriers to the participation of African American…

  17. PROJECT W-551 INTERIM PRETREATMENT SYSTEM TECHNOLOGY SELECTION SUMMARY DECISION REPORT AND RECOMMENDATION

    SciTech Connect

    CONRAD EA

    2008-08-12

    This report provides the conclusions of the tank farm interim pretreatment technology decision process. It documents the methodology, data, and results of the selection of cross-flow filtration and ion exchange technologies for implementation in project W-551, Interim Pretreatment System. This selection resulted from the evaluation of specific scope criteria using quantitative and qualitative analyses, group workshops, and technical expert personnel.

  18. Social Work Program Review: State University System of Florida. Consultant's Report and Recommendations.

    ERIC Educational Resources Information Center

    Khinduka, Shanti K.

    This review of graduate and undergraduate social work degree programs in the State University System of Florida (SUS) focuses on quality of curriculum, composition and caliber of students and faculty, nature and adequacy of facilities and resources, and overall progress of social work education since the previous program review in 1988. Florida…

  19. Early Screening for Risk of Reading Disabilities: Recommendations for a Four-Step Screening System

    ERIC Educational Resources Information Center

    Gilbert, Jennifer K.; Compton, Donald L.; Fuchs, Douglas; Fuchs, Lynn S.

    2012-01-01

    Response-to-intervention (RTI) models incorporate a screening process to identify students who appear to be at risk for learning disabilities (LDs). The purpose of this position article is to incorporate what is known about screening into a flexible, yet comprehensive screening system to help school psychologists and other school administrators in…

  20. ASSESSMENT AND RECOMMENDATIONS FOR IMPROVING THE PERFORMANCE OF WASTE CONTAINMENT SYSTEMS

    EPA Science Inventory

    This broad-based study addressed three categories of issues related to the design,
    construction, and performance of waste containment systems used at landfills, surface
    impoundments, and waste piles, and in the remediation of contaminated sites. Geosynthetic materials have...

  1. International Youth Foundation Program Identification System. Pilot Study One: Analysis and Recommendations.

    ERIC Educational Resources Information Center

    Moss (William L.) and Associates, Ltd., Alexandria, VA.

    An evaluation of Round One of a pilot study of a system for identifying effective youth organizations around the world is presented in this report. The report begins with a page of general observations about the successes and shortcomings of the pilot study, indicating that in general the study accomplished its objectives but that a need for…

  2. Colorado School Finance Partnership: Report and Recommendations. Financing Colorado's Future: Assessing Our School Finance System

    ERIC Educational Resources Information Center

    Colorado Children's Campaign, 2012

    2012-01-01

    Over the last decade, Colorado has emerged as a national leader in crafting innovative solutions for challenges facing its public school system. From implementing the Colorado Student Assessment Program (CSAP) and No Child Left Behind (NCLB) reforms to more recent legislation including standards and assessments for a preschool-through-college…

  3. Expert Meeting Report. Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems

    SciTech Connect

    Rudd, A.; Ueno, K.; Bergey, D.; Osser, R.

    2012-06-01

    This Building America expert meeting was held on 7/31/2011, in Westford, Massachusetts. Presentations and discussions centered on the design, performance, and maintenance of these combination systems, with the goal of developing foundational information toward the development of a Building America Measure Guideline on this topic.

  4. Post-upgrade testing on a radiotherapy oncology information system with an embedded record and verify system following the IAEA Human Health Report No. 7 recommendations.

    PubMed

    Nyathi, Thulani; Colyer, Christopher; Bhardwaj, Anup Kumar; Rijken, James; Morton, Jason

    2016-06-01

    Record and verify (R&V) systems have proven that their application in radiotherapy clinics leads to a significant reduction in mis-treatments of patients. The purpose of this technical note is to share our experience of acceptance testing, commissioning and setting up a quality assurance programme for the MOSAIQ® oncology information system and R&V system after upgrading from software version 2.41 to 2.6 in a multi-vendor, multi-site environment. Testing was guided primarily by the IAEA Human Report No. 7 recommendations, but complemented by other departmental workflow specific tests. To the best of our knowledge, this is the first time successful implementation of the IAEA Human Health Report Series No. 7 recommendations have been reported in the literature. PMID:27245299

  5. Psychiatric workforce needs and recommendations for the community mental health system: a state needs assessment.

    PubMed

    Walker, Elizabeth Reisinger; Berry, Frank W; Citron, Tod; Fitzgerald, Judy; Rapaport, Mark H; Stephens, Bryan; Druss, Benjamin G

    2015-02-01

    Similar to other states, Georgia is facing workforce challenges within its community mental health system. These issues may be exacerbated as implementation of the Affordable Care Act expands demand for behavioral health services. Georgia's Department of Behavioral Health and Developmental Disabilities commissioned a needs assessment to examine the shortage of prescribing providers (psychiatrists, advanced practice registered nurses, and physician assistants) in the state's public mental health system. A unique partnership of key stakeholders developed and conducted the mixed-methods needs assessment at six of Georgia's 27 community mental health centers serving more than 40,000 patients annually. The assessment documented challenges in recruiting and retaining psychiatrists and workforce shortages for all prescriber groups. The authors describe opportunities for optimizing the psychiatric workforce and training the next generation of community psychiatrists. PMID:25642608

  6. Recommendation Knowledge Discovery

    NASA Astrophysics Data System (ADS)

    McSherry, David; Stretch, Christopher

    Recently we presented a novel approach to the discovery of recommendation rules from a product case base that take account of all features of a recommended product, including those with respect to which the user's preferences are unknown. In this paper, we investigate the potential role of default preferences in the discovery of recommendation rules. As we show in the domain of digital cameras, the potential benefits include a dramatic reduction in the effective length of the discovered rules and increased coverage of queries representing the user's personal preferences. Another important finding of the research presented is that in a recommender system that takes account of default preferences, many of the products in the case base may never be recommended.

  7. Recommended OSC design and analysis of AMTEC power system for outer-planet missions

    SciTech Connect

    Schock, A.; Noravian, H.; Or, C.; Kumar, V.

    1999-01-01

    The paper describes OSC designs and analyses of AMTEC cells and radioisotope power systems for possible application to NASA{close_quote}s Europa Orbiter and Pluto Kuiper Express missions, and compares their predicted performance with JPL{close_quote}s preliminary mission goals. The latest cell and generator designs presented here were the culmination of studies covering a wide variety of generator configurations and operating parameters. The many steps and rationale leading to OSC{close_quote}s design evolution and materials selection were discussed in earlier publications and will not be repeated here except for a description of OSC{close_quote}s latest design, including a recent heat source support scheme and cell configuration that have not been described in previous publications. As shown, that heat source support scheme eliminates all contact between the heat source and the AMTEC (Alkali Metal Thermal-to-Electrical Conversion) cells, which simplifies the generator{close_quote}s structural design as well as its fabrication and assembly procedure. An additional purpose of the paper is to describe a revised cell design and fabrication procedure which represent a major departure from previous OSC designs. Previous cells had a uniform diameter, but in the revised design the cell wall beyond the BASE tubes has a greatly reduced diameter. The paper presents analytical performance predictions which show that the revised ({open_quotes}chimney{close_quotes}) cell design yields substantially higher efficiencies than the previous (cylindrical) design. This makes it possible to meet and substantially exceed the JPL-stipulated EOM power goal with four instead of six General Purpose Heat Source (GPHS) modules, resulting in a one-third reduction in the heat source mass, cost, and fuel requirements. OSC{close_quote}s performance predictions were based on its techniques for the coupled thermal, electrical, and fluid flow analyses of AMTEC generators. Those analytical techniques

  8. Issues and recommendations associated with distributed computation and data management systems for the space sciences

    NASA Technical Reports Server (NTRS)

    1986-01-01

    The primary purpose of the report is to explore management approaches and technology developments for computation and data management systems designed to meet future needs in the space sciences.The report builds on work presented in previous reports on solar-terrestrial and planetary reports, broadening the outlook to all of the space sciences, and considering policy issues aspects related to coordiantion between data centers, missions, and ongoing research activities, because it is perceived that the rapid growth of data and the wide geographic distribution of relevant facilities will present especially troublesome problems for data archiving, distribution, and analysis.

  9. A technical evaluation of the Nucletron FIRST system: conformance of a remote afterloading brachytherapy seed implantation system to manufacturer specifications and AAPM Task Group report recommendations.

    PubMed

    Rivard, Mark J; Evans, Dee-Ann Radford; Kay, Ian

    2005-01-01

    The Fully Integrated Real-time Seed Treatment (FIRST) system by Nucletron has been available in Europe since November 2001 and is being used more and more in Canada and the United States. Like the conventional transrectal ultrasound implant procedure, the FIRST system utilizes an ultrasound probe, needles, and brachytherapy seeds. However, this system is unique in that it (1) utilizes a low-dose-rate brachytherapy seed remote afterloader (the seedSelectron), (2) utilizes 3D image reconstruction acquired from electromechanically controlled, nonstepping rotation of the ultrasound probe, (3) integrates the control of a remote afterloader with electromechanical control of the ultrasound probe for integrating the clinical procedure into a single system, and (4) automates the transfer of planning information and seed delivery to improve quality assurance and radiation safety. This automated delivery system is specifically intended to address reproducibility and accuracy of seed positioning during implantation. The FIRST computer system includes two software environments: SPOT PRO and seedSelectron; both are used to facilitate treatment planning and brachytherapy seed implantation from beginning to completion of the entire procedure. In addition to these features, the system is reported to meet certain product specifications for seed delivery positioning accuracy and reproducibility, seed calibration accuracy and reliability, and brachytherapy dosimetry calculations. Consequently, a technical evaluation of the FIRST system was performed to determine adherence to manufacturer specifications and to the American Association of Physicists in Medicine (AAPM) Task Group Reports 43, 53, 56, 59, and 64 and recommendations of the American Brachytherapy Society (ABS). The United States Nuclear Regulatory Commission (NRC) has recently added Licensing Guidance for the seedSelectron system under 10 CFR 35.1000. Adherence to licensing guidance is made by referencing applicable AAPM

  10. Dynamic Tunnel Usability Study: Format Recommendations for Synthetic Vision System Primary Flight Displays

    NASA Technical Reports Server (NTRS)

    Arthur, Jarvis J., III; Prinzel, Lawrence J., III; Kramer, Lynda J.; Bailey, Randall E.

    2006-01-01

    A usability study evaluating dynamic tunnel concepts has been completed under the Aviation Safety and Security Program, Synthetic Vision Systems Project. The usability study was conducted in the Visual Imaging Simulator for Transport Aircraft Systems (VISTAS) III simulator in the form of questionnaires and pilot-in-the-loop simulation sessions. Twelve commercial pilots participated in the study to determine their preferences via paired comparisons and subjective rankings regarding the color, line thickness and sensitivity of the dynamic tunnel. The results of the study showed that color was not significant in pilot preference paired comparisons or in pilot rankings. Line thickness was significant for both pilot preference paired comparisons and in pilot rankings. The preferred line/halo thickness combination was a line width of 3 pixels and a halo of 4 pixels. Finally, pilots were asked their preference for the current dynamic tunnel compared to a less sensitive dynamic tunnel. The current dynamic tunnel constantly gives feedback to the pilot with regard to path error while the less sensitive tunnel only changes as the path error approaches the edges of the tunnel. The tunnel sensitivity comparison results were not statistically significant.