Contact expert group for international radwaste projects. Fourth meeting

International Nuclear Information System (INIS)

1997-06-01

The Contact Expert Group for International Radwaste Projects is the result of an IAEA seminar on ''International Co-operation on Nuclear Waste Management in the Russian Federation'', 15-17 May 1995, that was requested and sponsored by the Nordic countries. In two working groups at the Seminar, participants from the Russian Federation and 17 countries and international organizations co-operating with the Russian Federation in waste management projects recognized the need for setting up a contact group of experts to assist in co-ordinating their efforts. Such co-ordination would help avoid redundancy and duplication of effort, assure that priority needs were made known to the international community, and provide points of contact to facilitate co-operation. This report is a compilation of the 4. CEG meeting materials, both prepared by the CEG Secretariat and presented by meeting's participants. The materials discussed by the CEG and subsequently modified are presented in the finally approved version. As in the case of previous similar reports, the documentation presented was just compiled without any editing and thus should be considered only as ''working proceedings'' of the meeting

Results of expert response when forming an exhaustive list of potential risks of constructions projects using energy efficient technologies

Directory of Open Access Journals (Sweden)

Ryzhkova Anastasiya Igorevna

2016-10-01

Full Text Available The author deals with the most widely used methods of risk events identification. The expert response method is most applicable for construction projects using energy efficient technologies. The article presents the results of an opinion poll of the professional expert community using expert response method, which is aimed to identify the most likely potential “pure” risk of construction projects with energy-efficient technologies in use. 74 experts representing different levels of the construction process were polled: customers and directors of construction companies, project managers, risk managers, advisors. The answers were collected during private talks and also using a special website Survey Monkey. Experts from different countries took part: Russia, Great Britain, Austria, Luxemburg, Switzerland and Norway. Also the article presents the expert evaluation of the “effect” of risk implementation on the cost of a project, implementation time, the product quality, the environment and safety on the construction site.

Developing a project-based computational physics course grounded in expert practice

Science.gov (United States)

Burke, Christopher J.; Atherton, Timothy J.

2017-04-01

We describe a project-based computational physics course developed using a backwards course design approach. From an initial competency-based model of problem solving in computational physics, we interviewed faculty who use these tools in their own research to determine indicators of expert practice. From these, a rubric was formulated that enabled us to design a course intended to allow students to learn these skills. We also report an initial implementation of the course and, by having the interviewees regrade student work, show that students acquired many of the expert practices identified.

An expert system to manage dispute resolutions in construction projects in Egypt

Directory of Open Access Journals (Sweden)

A.A. Elziny

2016-03-01

Full Text Available This study attempts to shed a great deal of light on the problem of construction disputes in the Egyptian projects. This paper presents a comprehensive review of the available literature on analysis of disputes. The objective of this paper was to provide an expert system can evaluate the overall dispute settlement procedures at company’s projects. A questionnaire has been used to study dispute sources and resolution methods. Four case study applications have been provided to check the validity of the proposed system. Results confirmed that the most important source of disputes was contract management 74.04%, the second was contract documents 71.49%, the third was financial issues 67.80%, the fourth was project related issues 63.92%, and the lowest one was other sources (such as force majeure 61.58%. Finally, the expert program facilitates dispute resolution by using alternative dispute resolution methods instead of going direct to arbitration or litigation.

The TEX-I real-time expert system, applied to situation assessment for the SNR-300 reactor

International Nuclear Information System (INIS)

Schmal, N.; Leder, H.J.; Schade, H.J.

1988-01-01

Interatom, a subsidiary company of Siemens, is developing expert systems for the technical domain. These systems are operating in various industrial applications like flexible manufacturing or plant configuration, based on a domain-specific expert system shell, developed by Interatom. Additional projects are focusing on real-time diagnostics, e.g., for nuclear power plants. The authors report in this paper about a diagnosis expert system for the liquid-metal fast breeder reactor SNR-300, which uses new real-time tools, developed within the German TEX-I project (technical expert systems for data interpretation, diagnosis, and process control). The purpose of the system is to support the reactor operators in assessing plant status in real time, based on readings from many sensors. By on-line connection to the process control computer, it can monitor all incoming signal values, check the consistency of data, continuously diagnose the current plant status, detect unusual trends prior to accidents, localize faulty components, and recommended operator response in abnormal conditions. In the present knowledge acquisition and test phase, the expert system is connected to a real-time simulation of the reactor. The simulator is based on a thermohydraulic code for simulation of the transient behavior of temperatures and flow rates in the reactor core, plena, pipes, pumps, valves, intermediate heat exchangers, and cooling components. Additionally, the system's response to an asynchronous operator interaction can be simulated

Fifth Single-Shell Tank Integrity Project Expert Panel Meeting August 28-29, 2014

Energy Technology Data Exchange (ETDEWEB)

Martin, Todd M. [Washington River Protection Solutions, LLC, Richland, WA (United States; Gunter, Jason R. [Washington River Protection Solutions, LLC, Richland, WA (United States); Boomer, Kayle D. [Washington River Protection Solutions, LLC, Richland, WA (United States)

2015-01-07

On August 28th and 29th, 2014 the Single-Shell Tank Integrity Project (SSTIP) Expert Panel (Panel) convened in Richland, Washington. This was the Panel’s first meeting since 2011 and, as a result, was focused primarily on updating the Panel on progress in response to the past recommendations (Single-Shell Tank Integrity Expert Panel Report, RPP-RPT-45921, Rev 0, May 2010). This letter documents the Panel’s discussions and feedback on Phase I activities and results.

New technologies applied to radiation protection training: Rp course for technical qualified expert

International Nuclear Information System (INIS)

Llorente Herranz, Cristina; Rodriguez, M.; Marco Arboli, Marisa

2008-01-01

This paper shows the development and results of the first Course for technical qualified expert in radiation protection (RP) using the advantages of Communication and Information Technologies (CITs). This project in modality b-learning has born as a result of the RP specialised course demand, the necessity of working-private life balance and working-training time combination as well as the geographic widespread of those interested. The methodology selected has been b-learning (blended learning), which consists of a mixture of e-learning plus face-to-face learning. The RP course for technical qualified RP expert has been designed for 10 weeks using online learning methodology and 2 days of face-to-face learning in a radioactive facility to take account practical sessions and the final knowledge evaluation. A multidisciplinary team of experts has elaborated the RP programme and the docent material, following national normative. The material consists of: a) Multimedia material with theoretical content to be visualised online; b) Additional material to be un-load or printed; c) Practical exercises within multimedia content; d) Practical online and face-to-face sessions. (author)

Estimating Production Potentials: Expert Bias in Applied Decision Making

International Nuclear Information System (INIS)

Matthews, L.J.; Burggraf, L.K.; Reece, W.J.

1998-01-01

A study was conducted to evaluate how workers predict manufacturing production potentials given positively and negatively framed information. Findings indicate the existence of a bias toward positive information and suggest that this bias may be reduced with experience but is never the less maintained. Experts err in the same way non experts do in differentially processing negative and positive information. Additionally, both experts and non experts tend to overestimate production potentials in a positive direction. The authors propose that these biases should be addressed with further research including cross domain analyses and consideration in training, workplace design, and human performance modeling

Artificial intelligence/expert (AI/EX) systems for steelworks pollution control

Energy Technology Data Exchange (ETDEWEB)

Schofield, N.; Le Louer, P.; Mirabile, D.; Hubner, R. [Corus UK Ltd., Rotherham (United Kingdom)

2002-07-01

The objectives of this project have been to develop and apply artificial intelligence and expert system (AI/EX) methods to improve the control and operational performance of steelworks' pollution control equipment and to assess the viability and benefits of using such systems in dynamic process plant applications. Four distinct sub-projects were carried out: an expert system incorporating knowledge-based rules and neural network simulations has been developed by Corus which provides plant personnel with a real-time condition monitoring tool for the plant. Abnormalities with plant operation are now instantly recognised and alarmed, allowing prioritised maintenance to increase plant availability. The LECES project focused on studies concerning three different sites in order to evaluate predictive emission monitoring systems using neural networks to replace conventional instrumental and controls in steelworks' combustion systems. VAI developed a software template for pollution control expert systems to demonstrate the transferability of AI/EX technology. This has been done through the development of a validated process database containing data from the Corus sub-project and the subsequent integration of this data with dynamic emission models to produce rules for input to an evaluation database. CSM developed a fuzzy logic controlled process management system applied to the biological treatment of coke-oven waste water. A pilot plant has been installed and results on simulations performed using the fuzzy logic system linked to a neural network simulator show that it is possible to obtain great advantages in the biological pilot plant performance.

Apply Lean Thinking in Project Management

OpenAIRE

Pham Ngoc, Lan

2015-01-01

The purpose of this thesis was to study the effects of Lean Thinking in Project Management and how applying Lean Project Management could enhance the productivity of project work. The study was carried using theoretical research and collecting empirical data from three interviews and one case study at a local company. At the end of the study, the major project management problems at the company were identified and analyzed following Lean Principles. It was also pointed out where there...

Self-organizing expert communities in educational projects

Directory of Open Access Journals (Sweden)

Gennadiy P. Vinogradov

2018-01-01

Full Text Available Purpose of the study. The purpose of the study is the problem of forming a knowledge model of a specialist with higher education that is a part of an educational project. Its relevance is related to the need for an adequate response to strengthening the scientific and technological progress dynamics and the transition to the information interactions economy in the current conditions of the higher education system.Materials and methods. The information base of the research includes the laws on education of the Russian Federation, educational standards of higher professional education, scientists’ publications on the issues under investigation. The study used the following methods: system analysis, active systems theory, reflexive control theory, and modeling.Results. The research analyzes the consequences of Russia’s entry into the Bologna Convention on education. It shows that this event caused the problem of efficiency and quality of training specialists, as well as the problem of integrating higher education institutions into a new social and economic system related to their adaptation to market relations. According to the principle of institutional autonomy, solution of these problems is the responsibility of universities. The paper shows that the way to solve these problems is to transfer universities to a design and technological type of administration. The most promising form of education project management is the model of information interaction within the framework of active self-developing network expert environments. The elementary part of such an environment is an expert professional, who owns modern telecommunication technologies and Internet means. Integration in the natural intelligence network structure forms a collective strategic subject, which is a tool of a knowledge and action synergy in the interaction process. The paper describes the developed structure of the active self-developing network expert environment and two

Developing knowledge management systems with an active expert methodology

International Nuclear Information System (INIS)

Sandahl, K.

1992-01-01

Knowledge management, understood as the ability to store, distribute and utilize human knowledge in an organization, is the subject of this dissertation. In particular we have studied the design of methods and supporting software for this process. Detailed and systematic description of the design and development processes of three case-study implementations of knowledge management software are provided. The outcome of the projects is explained in terms of an active expert development methodology, which is centered around support for a domain expert to take substantial responsibility for the design and maintenance of a knowledge management system in a given area of application. Based on the experiences from the case studies and the resulting methodology, an environment for automatically supporting knowledge management was designed in the KNOWLEDGE-LINKER research project. The vital part of this architecture is a knowledge acquisition tool, used directly by the experts in creating and maintaining a knowledge base. An elaborated version of the active expert development methodology was then formulated as the result of applying the KNOWLEDGE-LINKER approach in a fourth case study. This version of the methodology is also accounted for and evaluated together within the supporting KNOWLEDGE-LINKER architecture. (au)

Tectonic risk forecasting through expert elicitation for geological repositories: the TOPAZ project

Energy Technology Data Exchange (ETDEWEB)

Goto, Junichi [NUMO, Tokyo (Japan); Kawamura, Hideki [Obayashi Corporation, Tokyo (Japan); Chapman, Neil [MCM Consulting, Baden (Switzerland)

2013-07-01

This paper describes the development of a probabilistic methodology for the evaluation of tectonic hazards to geological repositories in Japan. The approach is a development of NUMO's ITM methodology, which produced probabilistic hazard maps for volcanism and rock deformation for periods up to about 100,000 years in a set of Case Studies that covered a large area of the country. To address potential regulatory requirements, the TOPAZ project has extended the ITM methodology to look into the period between 100,000 and 1 million years, where significant uncertainties begin to emerge about the tectonic framework within which quantitative forecasting can be made. Part of this methodology extension has been to adopt expert elicitation techniques to capture differing expert views as a means of addressing such uncertainties. This paper briefly outlines progress in this development work to date. (authors)

Tectonic risk forecasting through expert elicitation for geological repositories: the TOPAZ project

International Nuclear Information System (INIS)

Goto, Junichi; Kawamura, Hideki; Chapman, Neil

2013-01-01

This paper describes the development of a probabilistic methodology for the evaluation of tectonic hazards to geological repositories in Japan. The approach is a development of NUMO's ITM methodology, which produced probabilistic hazard maps for volcanism and rock deformation for periods up to about 100,000 years in a set of Case Studies that covered a large area of the country. To address potential regulatory requirements, the TOPAZ project has extended the ITM methodology to look into the period between 100,000 and 1 million years, where significant uncertainties begin to emerge about the tectonic framework within which quantitative forecasting can be made. Part of this methodology extension has been to adopt expert elicitation techniques to capture differing expert views as a means of addressing such uncertainties. This paper briefly outlines progress in this development work to date. (authors)

Real time expert systems

International Nuclear Information System (INIS)

Asami, Tohru; Hashimoto, Kazuo; Yamamoto, Seiichi

1992-01-01

Recently, aiming at the application to the plant control for nuclear reactors and traffic and communication control, the research and the practical use of the expert system suitable to real time processing have become conspicuous. In this report, the condition for the required function to control the object that dynamically changes within a limited time is presented, and the technical difference between the real time expert system developed so as to satisfy it and the expert system of conventional type is explained with the actual examples and from theoretical aspect. The expert system of conventional type has the technical base in the problem-solving equipment originating in STRIPS. The real time expert system is applied to the fields accompanied by surveillance and control, to which conventional expert system is hard to be applied. The requirement for the real time expert system, the example of the real time expert system, and as the techniques of realizing real time processing, the realization of interruption processing, dispersion processing, and the mechanism of maintaining the consistency of knowledge are explained. (K.I.)

Performance assurance of the re-applying project documentation

Science.gov (United States)

Kozlova, Olga

2017-10-01

Usage of the re-applying project documentation is cost effective measure. Saving of budgetary funds for purchases for development of new project documentation occurs by means of it. It also becomes possible to consider better decisions and prevent the repetition of mistakes. Nowadays, state authorities in construction management are forming separate institute for re-applying project documentation. The article shows the main tasks of such events and the issues to be solved for achievement of a high positive result.

Expert Meeting Report: Key Innovations for Adding Energy Efficiency to Maintenance Projects

Energy Technology Data Exchange (ETDEWEB)

Wood, A.; Wiehagen, J.

2012-09-01

This report describes an expert meeting hosted by the Building America research team NAHB Research Center, which was held on February 8, 2012, in Orlando, Florida. The topic, Key Innovations for Adding Energy Efficiency to Maintenance Projects, was intended to provide direction to more focused efforts to increase the efficiency of existing homes; in this meeting, the focus was specifically for re-roofing and the opportunities for adding energy efficiency upgrades during this major home repair activity.

Expert systems as applied to bridges and pavements : an overview.

Science.gov (United States)

1986-01-01

Expert systems is a rapidly emerging new application of computers to aid decision makers in solving problems. This report gives an overview of what expert systems are and of what use they may be to a transportation department. The focus of the applic...

Guidelines for the verification and validation of expert system software and conventional software: Project summary. Volume 1

International Nuclear Information System (INIS)

Mirsky, S.M.; Hayes, J.E.; Miller, L.A.

1995-03-01

This eight-volume report presents guidelines for performing verification and validation (V ampersand V) on Artificial Intelligence (Al) systems with nuclear applications. The guidelines have much broader application than just expert systems; they are also applicable to object-oriented programming systems, rule-based systems, frame-based systems, model-based systems, neural nets, genetic algorithms, and conventional software systems. This is because many of the components of AI systems are implemented in conventional procedural programming languages, so there is no real distinction. The report examines the state of the art in verifying and validating expert systems. V ampersand V methods traditionally applied to conventional software systems are evaluated for their applicability to expert systems. One hundred fifty-three conventional techniques are identified and evaluated. These methods are found to be useful for at least some of the components of expert systems, frame-based systems, and object-oriented systems. A taxonomy of 52 defect types and their delectability by the 153 methods is presented. With specific regard to expert systems, conventional V ampersand V methods were found to apply well to all the components of the expert system with the exception of the knowledge base. The knowledge base requires extension of the existing methods. Several innovative static verification and validation methods for expert systems have been identified and are described here, including a method for checking the knowledge base open-quotes semanticsclose quotes and a method for generating validation scenarios. Evaluation of some of these methods was performed both analytically and experimentally. A V ampersand V methodology for expert systems is presented based on three factors: (1) a system's judged need for V ampersand V (based in turn on its complexity and degree of required integrity); (2) the life-cycle phase; and (3) the system component being tested

Guidelines for the verification and validation of expert system software and conventional software: Project summary. Volume 1

Energy Technology Data Exchange (ETDEWEB)

Mirsky, S.M.; Hayes, J.E.; Miller, L.A. [Science Applications International Corp., McLean, VA (United States)

1995-03-01

This eight-volume report presents guidelines for performing verification and validation (V&V) on Artificial Intelligence (Al) systems with nuclear applications. The guidelines have much broader application than just expert systems; they are also applicable to object-oriented programming systems, rule-based systems, frame-based systems, model-based systems, neural nets, genetic algorithms, and conventional software systems. This is because many of the components of AI systems are implemented in conventional procedural programming languages, so there is no real distinction. The report examines the state of the art in verifying and validating expert systems. V&V methods traditionally applied to conventional software systems are evaluated for their applicability to expert systems. One hundred fifty-three conventional techniques are identified and evaluated. These methods are found to be useful for at least some of the components of expert systems, frame-based systems, and object-oriented systems. A taxonomy of 52 defect types and their delectability by the 153 methods is presented. With specific regard to expert systems, conventional V&V methods were found to apply well to all the components of the expert system with the exception of the knowledge base. The knowledge base requires extension of the existing methods. Several innovative static verification and validation methods for expert systems have been identified and are described here, including a method for checking the knowledge base {open_quotes}semantics{close_quotes} and a method for generating validation scenarios. Evaluation of some of these methods was performed both analytically and experimentally. A V&V methodology for expert systems is presented based on three factors: (1) a system`s judged need for V&V (based in turn on its complexity and degree of required integrity); (2) the life-cycle phase; and (3) the system component being tested.

Expert system for liquid low-level waste management

International Nuclear Information System (INIS)

Ferrada, J.J.

1992-01-01

An expert system prototype has been developed to support system analysis activities at the Oak Ridge National Laboratory (ORNL) for waste management tasks. This expert system will aid in prioritizing radioactive waste streams for treatment and disposal by evaluating the severity and treatability of the problem as well as the final waste form. The objectives of the expert system development included: (1) collecting information on process treatment technologies for liquid low-level waste (LLLW) that can be incorporated in the knowledge base of the expert system, and (2) producing a prototype that suggests processes and disposal technologies for the ORNL LLLW system. The concept under which the expert system has been designed is integration of knowledge. There are many sources of knowledge (data bases, text files, simulation programs, etc.) that an expert would regularly consult in order to solve a problem of liquid waste management. The expert would normally know how to extract the information from these different sources of knowledge. The general scope of this project would be to include as much pertinent information as possible within the boundaries of the expert system. As a result, the user, who may not be an expert in every aspect of liquid waste management, may be able to apply the content of the information to a specific waste problem. This paper gives the methodological steps to develop the expert system under this general framework

An expert system based software sizing tool, phase 2

Science.gov (United States)

Friedlander, David

1990-01-01

A software tool was developed for predicting the size of a future computer program at an early stage in its development. The system is intended to enable a user who is not expert in Software Engineering to estimate software size in lines of source code with an accuracy similar to that of an expert, based on the program's functional specifications. The project was planned as a knowledge based system with a field prototype as the goal of Phase 2 and a commercial system planned for Phase 3. The researchers used techniques from Artificial Intelligence and knowledge from human experts and existing software from NASA's COSMIC database. They devised a classification scheme for the software specifications, and a small set of generic software components that represent complexity and apply to large classes of programs. The specifications are converted to generic components by a set of rules and the generic components are input to a nonlinear sizing function which makes the final prediction. The system developed for this project predicted code sizes from the database with a bias factor of 1.06 and a fluctuation factor of 1.77, an accuracy similar to that of human experts but without their significant optimistic bias.

Expert Systems as Tools for Technical Communicators.

Science.gov (United States)

Grider, Daryl A.

1994-01-01

Discusses expertise, what an expert system is, what an expert system shell is, what expert systems can and cannot do, knowledge engineering and technical communicators, and planning and managing expert system projects. (SR)

Expert System for natural gas transportation network management; Sistema especialista para gerenciamento de redes de transporte de gas natural

Energy Technology Data Exchange (ETDEWEB)

Silva, Jonny Carlos da; Porciuncula, Gilson Simoes [Santa Catarina Univ., Florianopolis, SC (Brazil). Dept. de Engenharia Mecanica Lab. de Sistemas Hidraulicos e Pneumaticos

2003-07-01

This paper presents a project to integrate expert system and dynamic simulation of natural gas transportation network applying the concept of agents. Natural gas pipeline operation requires the intermittent analysis of hundreds interrelated operational parameters, which represent the network state. The combination of expert system and dynamic simulation is a synergic solution for this kind of problem. With expert system techniques, it is possible to implement rules that describe the relationship between current operational parameters and the network normal operational conditions based on heuristic knowledge. By applying such rules, the system aims to evaluate the real network state and to predict abnormal conditions via dynamic simulation, allowing time analysis of operational situation in advance. At the current stage, the project presents a well defined model. The process of knowledge acquisition and representation has taken place following an incremental approach, considered as development paradigm. The project objectives are to reduce costs, increase the reliability and organize pipeline operation and maintenance information. This work is part of SEGRED project established as partnership among LASHIP/UFSC, SCGAS, TBG and PETROBRAS. The project also received support from FINEP. (author)

An Embedded Rule-Based Diagnostic Expert System in Ada

Science.gov (United States)

Jones, Robert E.; Liberman, Eugene M.

1992-01-01

Ada is becoming an increasingly popular programming language for large Government-funded software projects. Ada with it portability, transportability, and maintainability lends itself well to today's complex programming environment. In addition, expert systems have also assumed a growing role in providing human-like reasoning capability expertise for computer systems. The integration is discussed of expert system technology with Ada programming language, especially a rule-based expert system using an ART-Ada (Automated Reasoning Tool for Ada) system shell. NASA Lewis was chosen as a beta test site for ART-Ada. The test was conducted by implementing the existing Autonomous Power EXpert System (APEX), a Lisp-based power expert system, in ART-Ada. Three components, the rule-based expert systems, a graphics user interface, and communications software make up SMART-Ada (Systems fault Management with ART-Ada). The rules were written in the ART-Ada development environment and converted to Ada source code. The graphics interface was developed with the Transportable Application Environment (TAE) Plus, which generates Ada source code to control graphics images. SMART-Ada communicates with a remote host to obtain either simulated or real data. The Ada source code generated with ART-Ada, TAE Plus, and communications code was incorporated into an Ada expert system that reads the data from a power distribution test bed, applies the rule to determine a fault, if one exists, and graphically displays it on the screen. The main objective, to conduct a beta test on the ART-Ada rule-based expert system shell, was achieved. The system is operational. New Ada tools will assist in future successful projects. ART-Ada is one such tool and is a viable alternative to the straight Ada code when an application requires a rule-based or knowledge-based approach.

Quality assessment of expert answers to lay questions about cystic fibrosis from various language zones in Europe: the ECORN-CF project

Directory of Open Access Journals (Sweden)

d'Alquen Daniela

2012-02-01

Full Text Available Abstract Background The European Centres of Reference Network for Cystic Fibrosis (ECORN-CF established an Internet forum which provides the opportunity for CF patients and other interested people to ask experts questions about CF in their mother language. The objectives of this study were to: 1 develop a detailed quality assessment tool to analyze quality of expert answers, 2 evaluate the intra- and inter-rater agreement of this tool, and 3 explore changes in the quality of expert answers over the time frame of the project. Methods The quality assessment tool was developed by an expert panel. Five experts within the ECORN-CF project used the quality assessment tool to analyze the quality of 108 expert answers published on ECORN-CF from six language zones. 25 expert answers were scored at two time points, one year apart. Quality of answers was also assessed at an early and later period of the project. Individual rater scores and group mean scores were analyzed for each expert answer. Results A scoring system and training manual were developed analyzing two quality categories of answers: content and formal quality. For content quality, the grades based on group mean scores for all raters showed substantial agreement between two time points, however this was not the case for the grades based on individual rater scores. For formal quality the grades based on group mean scores showed only slight agreement between two time points and there was also poor agreement between time points for the individual grades. The inter-rater agreement for content quality was fair (mean kappa value 0.232 ± 0.036, p Conclusions The quality assessment tool described in this study was feasible and reliable when content quality was assessed by a group of raters. Within ECORN-CF, the tool will help ensure that CF patients all over Europe have equal possibility of access to high quality expert advice on their illness.

Quality assessment of expert answers to lay questions about cystic fibrosis from various language zones in Europe: the ECORN-CF project.

Science.gov (United States)

d'Alquen, Daniela; De Boeck, Kris; Bradley, Judy; Vávrová, Věra; Dembski, Birgit; Wagner, Thomas O F; Pfalz, Annette; Hebestreit, Helge

2012-02-06

The European Centres of Reference Network for Cystic Fibrosis (ECORN-CF) established an Internet forum which provides the opportunity for CF patients and other interested people to ask experts questions about CF in their mother language. The objectives of this study were to: 1) develop a detailed quality assessment tool to analyze quality of expert answers, 2) evaluate the intra- and inter-rater agreement of this tool, and 3) explore changes in the quality of expert answers over the time frame of the project. The quality assessment tool was developed by an expert panel. Five experts within the ECORN-CF project used the quality assessment tool to analyze the quality of 108 expert answers published on ECORN-CF from six language zones. 25 expert answers were scored at two time points, one year apart. Quality of answers was also assessed at an early and later period of the project. Individual rater scores and group mean scores were analyzed for each expert answer. A scoring system and training manual were developed analyzing two quality categories of answers: content and formal quality. For content quality, the grades based on group mean scores for all raters showed substantial agreement between two time points, however this was not the case for the grades based on individual rater scores. For formal quality the grades based on group mean scores showed only slight agreement between two time points and there was also poor agreement between time points for the individual grades. The inter-rater agreement for content quality was fair (mean kappa value 0.232 ± 0.036, p value 0.105 ± 0.024, p change over time. The quality assessment tool described in this study was feasible and reliable when content quality was assessed by a group of raters. Within ECORN-CF, the tool will help ensure that CF patients all over Europe have equal possibility of access to high quality expert advice on their illness. © 2012 d’Alquen et al; licensee BioMed Central Ltd.

Student design projects in applied acoustics.

Science.gov (United States)

Bös, Joachim; Moritz, Karsten; Skowronek, Adam; Thyes, Christian; Tschesche, Johannes; Hanselka, Holger

2012-03-01

This paper describes a series of student projects which are intended to complement theoretical education in acoustics and engineering noise control with practical experience. The projects are also intended to enhance the students' ability to work in a team, to manage a project, and to present their results. The projects are carried out in close cooperation with industrial partners so that the students can get a taste of the professional life of noise control engineers. The organization of such a project, its execution, and some of the results from the most recent student project are presented as a demonstrative example. This latest project involved the creation of noise maps of a production hall, the acoustic analysis of a packaging machine, and the acoustic analysis of a spiral vibratory conveyor. Upon completion of the analysis, students then designed, applied, and verified some simple preliminary noise reduction measures to demonstrate the potential of these techniques. © 2012 Acoustical Society of America

University of Tennessee Center for Space Transportation and Applied Research (CSTAR)

Science.gov (United States)

1995-10-01

The Center for Space Transportation and Applied Research had projects with space applications in six major areas: laser materials processing, artificial intelligence/expert systems, space transportation, computational methods, chemical propulsion, and electric propulsion. The closeout status of all these projects is addressed.

University of Tennessee Center for Space Transportation and Applied Research (CSTAR)

Science.gov (United States)

1995-01-01

The Center for Space Transportation and Applied Research had projects with space applications in six major areas: laser materials processing, artificial intelligence/expert systems, space transportation, computational methods, chemical propulsion, and electric propulsion. The closeout status of all these projects is addressed.

Expert ease

Energy Technology Data Exchange (ETDEWEB)

1984-04-01

Expert-ease allows the most inexperienced of computer users to build an expert system in a matter of hours. It is nothing more or less than a computer based problem-solving system. It allows the expert to preserve his or her knowledge in the form of rules, which can be applied to problems put to the system by the non-expert. The crucial piece of software at the heart of Expert-Ease extracts rules from data, and is called the analogue concept learning system. It was developed by Intelligent Terminals Ltd. and supplied to Export Software International to be incorporated into a commercially attractive package for business users. The resulting product runs on the Act Sirius and the IBM PC and compatibles. It is a well conceived and polished product with a popular appeal that should ensure widespread acceptance even at a cost of >1500 plus vat.

ANP applied to electronics engineering project selection

International Nuclear Information System (INIS)

Habib, M.

2010-01-01

Project selection in Electronics engineering is a complex decision-making process. This research paper illustrates an application of ANP/AHP process. The AHP (Analytic Hierarchy Process) is employed to break down large unstructured decision problems into manageable and measureable components. The ANP, as the general form of AHP, is powerful to deal with complex decisions where interdependence exists in a decision model. The research paper discusses the use of the ANP, a general form of Saaty's analytic Network process, as a model to evaluate the value of competing Electronics projects. The research paper concludes with a case study describing the implementation of this model at an engineering college, including data based on the actual use of the decision making model. The case study helps to verify that AHP is an effective and efficient decision-making tool. A major contribution of this work is to provide a methodology for assessing the best project. Despite a number of publications applying AHP in project selection, this is probably the first time that an attempt has been made to apply AHP in an electronics project selection in an engineering university environment. (author)

The Oregon Applied Academics Project: Final Report

Science.gov (United States)

Pearson, Donna; Richardson, George B.; Sawyer, Jennifer M.

2013-01-01

This report contains the findings of the Oregon Applied Academics research and development project which spanned three academic years from 2010 through 2013. The overall purpose of the project was to develop and implement a technical math course that would meet graduation requirements and improve student performance. The State of Oregon has been…

The European Union's four-man team of experts attending a demonstration of the DataGrid Project at CERN in early February.

CERN Multimedia

2003-01-01

The DataGrid Project is reviewed by a team of European experts on a yearly basis. At the beginning of February it passed the second of these reviews with flying colours, the four experts issuing enthusiastic statements on the latest progress made, which was quite considerable in 2002.

Guidelines for the verification and validation of expert system software and conventional software. Volume 1: Project summary. Final report

International Nuclear Information System (INIS)

Miller, L.A.; Hayes, J.E.; Mirsky, S.M.

1995-05-01

This eight-volume report presents guidelines for performing verification and validation (V ampersand V) on Artificial Intelligence (AI) systems with nuclear applications. The guidelines have much broader application than just expert systems; they are also applicable to object-oriented programming systems, rule-based systems, frame-based systems, model-based systems, neural nets, genetic algorithms, and conventional software systems. This is because many of the components of AI systems are implemented in conventional procedural programming languages, so there is no real distinction. The report examines the state of the art in verifying and validating expert systems. V ampersand V methods traditionally applied to conventional software systems are evaluated for their applicability to expert systems. One hundred fifty-three conventional techniques are identified and evaluated. These methods are found to be useful for at least some of the components of expert systems, frame-based systems, and object-oriented systems. A taxonomy of 52 defect types and their delectability by the 153 methods is presented. With specific regard to expert systems, conventional V ampersand V methods were found to apply well to all the components of the expert system with the exception of the knowledge base. The knowledge base requires extension of the existing methods. Several innovative static verification and validation methods for expert systems have been identified and are described here, including a method for checking the knowledge base open-quotes semanticsclose quotes and a method for generating validation scenarios. Evaluation of some of these methods was performed both analytically and experimentally

Decision-making behavior of experts at nuclear power plants. Regulatory focus influence on cognitive heuristics

International Nuclear Information System (INIS)

Beck, Johannes

2015-09-01

The goal of this research project was to examine factors, on the basis of regulatory focus theory and the heuristics and biases approach, that influence decision-making processes of experts at nuclear power plants. Findings show that this group applies anchoring (heuristic) when evaluating conjunctive and disjunctive events and that they maintain a constant regulatory focus characteristic. No influence of the experts' characteristic regulatory focus on cognitive heuristics could be established. Theoretical and practical consequences on decision-making behavior of experts are presented. Finally, a method for measuring the use of heuristics especially in the nuclear industry is discussed.

Expert Panel Elicitation

Energy Technology Data Exchange (ETDEWEB)

Jensen, M. [Swedish Radiation Protection Authority, Stockholm (Sweden). Dept. of Waste Management and Environmental Protection; Hora, S.C. [Univ. of Hawaii, Hilo, HI (United States)

2005-09-15

Scientists are now frequently in a situation where data cannot be easily assessed, since they may have conflicting or uncertain sources. While expert judgment reflects private choices, it is possible both reduce the personal aspect as well as in crease confidence in the judgments by using formal protocols for choice and elicitation of experts. A full-scale elicitation made on seismicity following glaciation, now in its late phase and presented here in a preliminary form, illustrates the value of the technique and some essential issues in connection with the decision to launch such a project. The results show an unusual low variation between the experts.

Expert systems: A 5-year perspective

International Nuclear Information System (INIS)

MacAllister, D.J.; Day, R.; McCormack, M.D.

1996-01-01

This paper gives an overview of a major integrated oil company's experience with artificial intelligence (AI) over the last 5 years, with an emphasis on expert systems. The authors chronicle the development of an AI group, including details on development tool selection, project selection strategies, potential pitfalls, and descriptions of several completed expert systems. Small expert systems produced by teams of petroleum technology experts and experienced expert system developers that are focused in well-defined technical areas have produced substantial benefits and accelerated petroleum technology transfer

ART-Ada: An Ada-based expert system tool

Science.gov (United States)

Lee, S. Daniel; Allen, Bradley P.

1991-01-01

The Department of Defense mandate to standardize on Ada as the language for software systems development has resulted in increased interest in making expert systems technology readily available in Ada environments. NASA's Space Station Freedom is an example of the large Ada software development projects that will require expert systems in the 1990's. Another large scale application that can benefit from Ada based expert system tool technology is the Pilot's Associate (PA) expert system project for military combat aircraft. Automated Reasoning Tool (ART) Ada, an Ada Expert system tool is described. ART-Ada allow applications of a C-based expert system tool called ART-IM to be deployed in various Ada environments. ART-Ada is being used to implement several prototype expert systems for NASA's Space Station Freedom Program and the U.S. Air Force.

Why is risk communication hardly applied in Japan? Psychological problem of scientific experts

International Nuclear Information System (INIS)

Kosugi, Motoko; Tsuchiya, Tomoko; Taniguchi, Taketoshi

2000-01-01

The purpose of this paper is to discuss the problems that impair to communicate about technological risks with the public in Japan, especially focusing on views of experts as a supplier of risk information. In this study, we also clarified through the questionnaire surveys that there were significant differences of risk perception and of information environment about science and technology between the public and scientific experts, as many previous studies showed. And most important fact is that experts perceive the difference in risk perception between the public and experts larger than the public does. We conclude that this experts' cognition impedes to take a first step toward communicating with the public about technological risks. (author)

Community Action Projects: Applying Biotechnology in the Real World

Science.gov (United States)

Nguyen, Phuong D.; Siegel, Marcelle A.

2015-01-01

Project-based learning and action research are powerful pedagogies in improving science education. We implemented a semester-long course using project-based action research to help students apply biotechnology knowledge learned in the classroom to the real world. Students had several choices to make in the project: working individually or as a…

Analysis of methods of processing of expert information by optimization of administrative decisions

Science.gov (United States)

Churakov, D. Y.; Tsarkova, E. G.; Marchenko, N. D.; Grechishnikov, E. V.

2018-03-01

In the real operation the measure definition methodology in case of expert estimation of quality and reliability of application-oriented software products is offered. In operation methods of aggregation of expert estimates on the example of a collective choice of an instrumental control projects in case of software development of a special purpose for needs of institutions are described. Results of operation of dialogue decision making support system are given an algorithm of the decision of the task of a choice on the basis of a method of the analysis of hierarchies and also. The developed algorithm can be applied by development of expert systems to the solution of a wide class of the tasks anyway connected to a multicriteria choice.

Electronic-projecting Moire method applying CBR-technology

Science.gov (United States)

Kuzyakov, O. N.; Lapteva, U. V.; Andreeva, M. A.

2018-01-01

Electronic-projecting method based on Moire effect for examining surface topology is suggested. Conditions of forming Moire fringes and their parameters’ dependence on reference parameters of object and virtual grids are analyzed. Control system structure and decision-making subsystem are elaborated. Subsystem execution includes CBR-technology, based on applying case base. The approach related to analysing and forming decision for each separate local area with consequent formation of common topology map is applied.

Expert opinion vs. empirical evidence: the precautionary principle applied to GM crops.

Science.gov (United States)

Herman, Rod A; Raybould, Alan

2014-01-01

Expert opinion is often sought by government regulatory agencies when there is insufficient empirical evidence to judge the safety implications of a course of action. However, it can be reckless to continue following expert opinion when a preponderance of evidence is amassed that conflicts with this opinion. Factual evidence should always trump opinion in prioritizing the information that is used to guide regulatory policy. Evidence-based medicine has seen a dramatic upturn in recent years spurred by examples where evidence indicated that certain treatments recommended by expert opinions increased death rates. We suggest that scientific evidence should also take priority over expert opinion in the regulation of genetically modified crops (GM). Examples of regulatory data requirements that are not justified based on the mass of evidence are described, and it is suggested that expertise in risk assessment should guide evidence-based regulation of GM crops.

Expert Witness

African Journals Online (AJOL)

Adele

formal rules of evidence apply) to help it understand the issues of a case and ... statements on medical expert witness by professional representative bodies in .... determining the size of the financial settlement that may have to be made to the.

Perceptual-cognitive expertise in sport: some considerations when applying the expert performance approach.

Science.gov (United States)

Williams, A Mark; Ericsson, K Anders

2005-06-01

The number of researchers studying perceptual-cognitive expertise in sport is increasing. The intention in this paper is to review the currently accepted framework for studying expert performance and to consider implications for undertaking research work in the area of perceptual-cognitive expertise in sport. The expert performance approach presents a descriptive and inductive approach for the systematic study of expert performance. The nature of expert performance is initially captured in the laboratory using representative tasks that identify reliably superior performance. Process-tracing measures are employed to determine the mechanisms that mediate expert performance on the task. Finally, the specific types of activities that lead to the acquisition and development of these mediating mechanisms are identified. General principles and mechanisms may be discovered and then validated by more traditional experimental designs. The relevance of this approach to the study of perceptual-cognitive expertise in sport is discussed and suggestions for future work highlighted.

MATURITY IN LOGISTICS PROJECT MANAGEMENT APPLIED TO AN AUTOMOTIVE INDUSTRY CEARENSE

Directory of Open Access Journals (Sweden)

Danilo Cavalcante de Vasconcelos

2012-04-01

Full Text Available The present study aims to develop the concepts applied by the PMBOK in efficient management of logistics projects and production management through a case study, seeking the best use of resources used in projects. Thus, we used the analysis of a real case study in a comparative way with the indicators of the model PMMM - Maturity Model Project Management Sector - proposed by Prado (2003, and applied to an automotive company. The findings point to a low level of maturity in project management, demonstrating the need for corrective action.

Expert Judgement Assessment & SCENT Ontological Analysis

Directory of Open Access Journals (Sweden)

NICHERSU Iulian

2018-05-01

Full Text Available This study aims to provide insights in the starting point of the Horizon 2020 ECfunded project SCENT (Smart Toolbox for Εngaging Citizens into a People-Centric Observation Web Citizen Observatory (CO in terms of existing infrastructure, existing monitoring systems and some discussion on the existing legal and administrative framework that relate to flood monitoring and management in the area of Danube Delta. The methodology used in this approach is based on expert judgement and ontological analysis, using the information collected from the identified end-users of the SCENT toolbox. In this type of analysis the stages of flood monitoring and management that the experts are involved in are detailed. This is done through an Expert Judgement Assessment analysis. The latter is complemented by a set of Key Performance Indicators that the stakeholders have assessed and/or proposed for the evaluation of the SCENT demonstrations, for the impact of the project and finally for SCENT toolbox performance and usefulness. The second part of the study presents an analysis that attempts to map the interactions between different organizations and components of the existing monitoring systems in the Danube Delta case study. Expert Judgement (EJ allows to gain information from specialists in a specific field through a consultation process with one or more experts that have experience in similar and complementary topics. Expert judgment, expert estimates, or expert opinion are all terms that refer to the contents of the problem; estimates, outcomes, predictions, uncertainties, and their corresponding assumptions and conditions are all examples of expert judgment. Expert Judgement is affected by the process used to gather it. On the other hand, the ontological analysis comes to complete this study, by organizing and presenting the connections behind the flood management and land use systems in the three phases of the flood event.

Adaptation and content validity by expert judgment of the Oral Health Impact Profile applied to Periodontal Disease.

Directory of Open Access Journals (Sweden)

Norma Idalia Rodríguez

2017-04-01

Full Text Available Background: In Mexico, there is no available instrument based on a biopsychosocial model to evaluate the impact of periodontal disease on oral health-related quality of life (OHRQL. The Oral Health Impact Profile (OHIP-14 was developed in Australia and the United States based on the same model and can be adapted to evaluate the impact of periodontal disease on OHRQL. Objectives: To adapt the OHIP-14 questions to periodontal disease evaluation and validate the content of this new instrument. Materials and Methods: One expert in periodontics and one expert in health psychology adapted the OHIP-14 to evaluate the impact of periodontal disease on OHRQL, creating the Oral Health Impact Profile applied to Periodontal Disease (OHIP-14-PD. Using the format proposed by Escobar and Cuervo, five experts in periodontics and public health performed the OHIP-14-PD content validation. Results: Item 7 had a compliance rate of 80% for clarity, and the other items, a compliance rate of 100%, for clarity, sufficiency, coherence and relevance. The kappa coefficient showed perfect agreement for items 1 to 6 (k= 1 and 8 to 14, and very high agreement for item 7 (k= 0.967. Conclusion: The OHIP-14-PD shows content validity.

BWR recirculation pump diagnostic expert system

International Nuclear Information System (INIS)

Chiang, S.C.; Morimoto, C.N.; Torres, M.R.

2004-01-01

At General Electric (GE), an on-line expert system to support maintenance decisions for BWR recirculation pumps for nuclear power plants has been developed. This diagnostic expert system is an interactive on-line system that furnishes diagnostic information concerning BWR recirculation pump operational problems. It effectively provides the recirculation pump diagnostic expertise in the plant control room continuously 24 hours a day. The expert system is interfaced to an on-line monitoring system, which uses existing plant sensors to acquire non-safety related data in real time. The expert system correlates and evaluates process data and vibration data by applying expert rules to determine the condition of a BWR recirculation pump system by applying knowledge based rules. Any diagnosis will be automatically displayed, indicating which pump may have a problem, the category of the problem, and the degree of concern expressed by the validity index and color hierarchy. The rules incorporate the expert knowledge from various technical sources such as plant experience, engineering principles, and published reports. These rules are installed in IF-THEN formats and the resulting truth values are also expressed in fuzzy terms and a certainty factor called a validity index. This GE Recirculation Pump Expert System uses industry-standard software, hardware, and network access to provide flexible interfaces with other possible data acquisition systems. Gensym G2 Real-Time Expert System is used for the expert shell and provides the graphical user interface, knowledge base, and inference engine capabilities. (author)

Risk Management in Complex Construction Projects that Apply Renewable Energy Sources: A Case Study of the Realization Phase of the Energis Educational and Research Intelligent Building

Science.gov (United States)

Krechowicz, Maria

2017-10-01

Nowadays, one of the characteristic features of construction industry is an increased complexity of a growing number of projects. Almost each construction project is unique, has its project-specific purpose, its own project structural complexity, owner’s expectations, ground conditions unique to a certain location, and its own dynamics. Failure costs and costs resulting from unforeseen problems in complex construction projects are very high. Project complexity drivers pose many vulnerabilities to a successful completion of a number of projects. This paper discusses the process of effective risk management in complex construction projects in which renewable energy sources were used, on the example of the realization phase of the ENERGIS teaching-laboratory building, from the point of view of DORBUD S.A., its general contractor. This paper suggests a new approach to risk management for complex construction projects in which renewable energy sources were applied. The risk management process was divided into six stages: gathering information, identification of the top, critical project risks resulting from the project complexity, construction of the fault tree for each top, critical risks, logical analysis of the fault tree, quantitative risk assessment applying fuzzy logic and development of risk response strategy. A new methodology for the qualitative and quantitative risk assessment for top, critical risks in complex construction projects was developed. Risk assessment was carried out applying Fuzzy Fault Tree analysis on the example of one top critical risk. Application of the Fuzzy sets theory to the proposed model allowed to decrease uncertainty and eliminate problems with gaining the crisp values of the basic events probability, common during expert risk assessment with the objective to give the exact risk score of each unwanted event probability.

Aerodynamics of the EXPERT Re-Entry Ballistic Vehicle

Science.gov (United States)

Kharitonov, A. M.; Adamov, N. P.; Mazhul, I. I.; Vasenyov, L. G.; Zvegintsev, V. I.; Muylaert, J. M.

2009-01-01

Since 2002 till now, experimental studies of the EXPERT reentry capsule have been performed in ITAM SB RAS wind tunnels. These studies have been performed in consecutive ISTC project No. 2109, 3151, and currently ongoing project No. 3550. The results of earlier studies in ITAM wind tunnels can be found in [1-4]. The present paper describes new data obtained for the EXPERT model.

Expert finding by the Dempster‐Shafer theory for evidence combination

NARCIS (Netherlands)

Torkzadeh mahani, N.; Dehghani, M.; Mirian, M.S.; Shakery, A.; Taheri, K.

The expertise of human experts can be formally extracted from their written documents, research projects, and everyday activities. The process whereby experts are recognized according to their activities is called expert finding. In this paper, we propose an approach to identify the experts in a

An Applied Project-Driven Approach to Undergraduate Research Experiences

Science.gov (United States)

Karls, Michael A.

2017-01-01

In this paper I will outline the process I have developed for conducting applied mathematics research with undergraduates and give some examples of the projects we have worked on. Several of these projects have led to refereed publications that could be used to illustrate topics taught in the undergraduate curriculum.

Solving Accounting Problems: Differences between Accounting Experts and Novices.

Science.gov (United States)

Marshall, P. Douglas

2002-01-01

Performance of 90 accounting experts (faculty and practitioners) and 60 novices (senior accounting majors) was compared. Experts applied more accounting principles to solving problems. There were no differences in types of principles applied and no correlation between (1) principles applied and number of breadth comments or (2) importance placed…

The basics of formation of expert systems for industry and science

Directory of Open Access Journals (Sweden)

Vidyaev Igor G.

2016-01-01

Full Text Available This paper considers the basics of development of a practice-oriented information system of examination of industrial and scientific projects realized in the field of machine building. The first part of the paper is devoted to the main problems which are necessary to solve while designing such systems. The methods of self-organisation and adaptation, the use of expert evaluations and other approaches, for instance, those connected with the study of various fundamental and applied aspects of intelligence control systems, were considered. The main problems that are solved when creating an effective system of the expert selection were structured and expounded. In addition, the information, based both on already existing models (DFD, BPMN and on modern approaches (a system approach, Delphi technique, artificial neural networks, concerning the creation of an effective system of expert evaluations was presented. A combination of the approved methods and new approaches allows adapting the system to different conditions of use.

Project on Alternative Systems Study - PASS. Comparison of technology of KBS-3, MLH, VLH and VDH concepts by using an expert group

International Nuclear Information System (INIS)

Olsson, Lars; Sandstedt, H.

1992-09-01

This report constitutes a technical comparison and ranking of four repository concepts for final disposal of spent nuclear fuel, that have been studied by SKB: KBS-3, Medium Long Holes (MLH), Very Long Holes (VLH) and Very Deep Holes (VDH). The technical comparison is part of the project 'Project on Alternative Systems Study, PASS', which was initiated by SKB. With the objective of presenting a ranking of the four concepts. Besides this comparison of Technology the ranking is separately made for Long-term Performance and Safety, and Costs before the merging into one verdict. The ranking regarding Technology was carried out in accordance with the method Analytical Hierarchy Process, AHP, and by the aid of expert judgement in the form of a group consisting of six experts. The AHP method implies that the criteria for comparison are ordered in a hierarchy and that the ranking is carried out by pairwise comparison of the criteria. In the evaluation process a measure of the relative importance of each criterion is obtained. The result of the expert judgement exercise was that each expert individually ranked the four concepts in the following order with the top ranked alternative first: KBS-3, MLH, VLH and VDH. The common opinion among the experts was that the top ranking of KBS-3 is significant and the the major criteria used in the study could change substantially without changing the top ranking of KBS-3

Stakeholder preferences towards the sustainable development of CDM projects: Lessons from biomass (rice husk) CDM project in Thailand

International Nuclear Information System (INIS)

Parnphumeesup, Piya; Kerr, Sandy A.

2011-01-01

This research applies both quantitative and qualitative methods to investigate stakeholder preferences towards sustainable development (SD) priorities in Clean Development Mechanism (CDM) projects. The CDM's contribution to SD is explored in the context of a biomass (rice husk) case study conducted in Thailand. Quantitative analysis ranks increasing the usage of renewable energy as the highest priority, followed by employment and technology transfer. Air pollution (dust) is ranked as the most important problem. Preference weights expressed by experts and local resident are statistically different in the cases of: employment generation; emission reductions; dust; waste disposal; and noise. Qualitative results, suggest that rice husk CDM projects contribute significantly to SD in terms of employment generation, an increase in usage of renewable energy, and transfer of knowledge. However, rice husk biomass projects create a potential negative impact on air quality. In order to ensure the environmental sustainability of CDM projects, stakeholders suggest that Thailand should cancel an Environmental Impact Assessment (EIA) exemption for CDM projects with an installed capacity below 10 MW and apply it to all CDM projects. - Highlights: → Stakeholders rank increasing the usage of renewable energy as the highest priority. → Biomass (rice husk) CDM projects create a potential negative impact on air quality. → Rice husk CDM projects cannot give an extra income to farmers. → Preference weights expressed by experts and local residents are statistically different.

The TEX-I real-time expert system applied to situation assessment for the SNR-300 reactor

International Nuclear Information System (INIS)

Schmal, N.; Doerbecker, K.; Leder, H.J.; Rueckert, M.; Schade, H.J.

1990-01-01

Within the German TEX-I Project, which was sponsored by the Federal Ministry for Research and Technology, several companies developed industrial applications of technical expert systems for data interpretation, diagnosis and process control. The purpose of the diagnosis expert system reported here is to support the operators of the LMFBR SNR-300 in assessing plant status in real-time, based on readings from a large number of sensors. By online connection to the process control computer, it can monitor all incoming signal values, check the consistency of data, continuously diagnose the current plant status, detect unusual trends prior to accidents, localize faulty components and recommend operators response in abnormal conditions. The systems architecture consists of two basic subsystems, an inference engine and an intelligent process interface, implemented in Lisp on a Symbolics-Workstation. The inference engine has been derived from BABYLON, a hybrid shell developed by the German computer research institute GMD. This shell includes rules, prologue, constraints and an object oriented frame processor. The extended version has a component description language and a top-down diagnosis scheme including a mechanism of attention focusing. Inference run as independent, quasi-parallel processes. These so-called inference tasks can interrupt or abort each other, if higher priority events must be processed. The complete system is modelled in an object oriented matter and is divided into several subsystems and each subsystem into its physical components. At present the expert system is connected to a real-time simulation of the reactor. The simulation is based on a thermohydraulic code for simulation of the transient behaviour of temperatures and flow rates in the reactor core, plena, pipes, pumps, valves, intermediate heat exchangers and cooling components. Additionally, the systems response to an asynchronous operator interaction can be simulated. Several types of anomalies

Expert judgement models in quantitative risk assessment

Energy Technology Data Exchange (ETDEWEB)

Rosqvist, T. [VTT Automation, Helsinki (Finland); Tuominen, R. [VTT Automation, Tampere (Finland)

1999-12-01

Expert judgement is a valuable source of information in risk management. Especially, risk-based decision making relies significantly on quantitative risk assessment, which requires numerical data describing the initiator event frequencies and conditional probabilities in the risk model. This data is seldom found in databases and has to be elicited from qualified experts. In this report, we discuss some modelling approaches to expert judgement in risk modelling. A classical and a Bayesian expert model is presented and applied to real case expert judgement data. The cornerstone in the models is the log-normal distribution, which is argued to be a satisfactory choice for modelling degree-of-belief type probability distributions with respect to the unknown parameters in a risk model. Expert judgements are qualified according to bias, dispersion, and dependency, which are treated differently in the classical and Bayesian approaches. The differences are pointed out and related to the application task. Differences in the results obtained from the different approaches, as applied to real case expert judgement data, are discussed. Also, the role of a degree-of-belief type probability in risk decision making is discussed.

Expert judgement models in quantitative risk assessment

International Nuclear Information System (INIS)

Rosqvist, T.; Tuominen, R.

1999-01-01

Expert judgement is a valuable source of information in risk management. Especially, risk-based decision making relies significantly on quantitative risk assessment, which requires numerical data describing the initiator event frequencies and conditional probabilities in the risk model. This data is seldom found in databases and has to be elicited from qualified experts. In this report, we discuss some modelling approaches to expert judgement in risk modelling. A classical and a Bayesian expert model is presented and applied to real case expert judgement data. The cornerstone in the models is the log-normal distribution, which is argued to be a satisfactory choice for modelling degree-of-belief type probability distributions with respect to the unknown parameters in a risk model. Expert judgements are qualified according to bias, dispersion, and dependency, which are treated differently in the classical and Bayesian approaches. The differences are pointed out and related to the application task. Differences in the results obtained from the different approaches, as applied to real case expert judgement data, are discussed. Also, the role of a degree-of-belief type probability in risk decision making is discussed

An expert system as applied to bridges : software development phase.

Science.gov (United States)

1989-01-01

This report describes the results of the third of a four-part study dealing with the use of a computerized expert system to assist bridge engineers in their structures management program. In this phase of the study, software (called DOBES) was writte...

Recruiting experts for technical assistance rogramme

International Nuclear Information System (INIS)

1974-01-01

One of the objectives of the IAEA is the provision of technical assistance to its Member States to carry out their peaceful nuclear activities more efficiently and safely. This involves looking for and supplying experts, equipment and fellowships. Since 1958 the Agency has provided the services of more than 1800 experts valued at $11.5 million, 4300 fellowships valued at $14.3 million, and equipment worth $10.8 million. The efficiency of the programme can only be increased by a more prompt consideration of proposals forwarded by the Agency, and the continuing co-operation from national Governments and private institutions. The IAEA recruits an average of 200 experts a year to implement its Regular Technical Assistance Programme. These projects are financed by voluntary contributions from Member States, and by the United Nations Development Programme for those projects for which the IAEA is the executing agency

Experts and equipment: The IAEA programme in 1965

International Nuclear Information System (INIS)

1965-01-01

Nearly 100 projects are being assisted by Agency experts and equipment in 38 countries under the 1965 programme to be financed from Agency funds, which the Board of Governors approved at its meeting in February, together with four other countries where projects previously approved extend into 1965. In addition, further work is being financed under the UN Expanded Programme of Technical Assistance, including several important regional projects. Under the Agency's long-term programme, it is desirable that all types of technical assistance, whether training, research, or expert advice, should be combined as far as possible. Each country will therefore be asked, in respect of its 1966 programme, to make its requests for experts, equipment, fellowships, scientific visits and research grants as a single submission. The Agency then prepares a country programme of technical assistance, in collaboration with the Government. The number of requests for experts and equipment continues to grow year by year, and it has not been possible to finance them all. This increase is largely because a number of Member States have now set up research reactors and established a nucleus of laboratories under bilateral arrangements; they then turn to the Agency for assistance in developing their programmes. The estimated cost of experts and equipment being provided from Agency resources is $874 000 in 1965, of which $596 800 is for experts, and $277 200 is for equipment and supplies. The Agency also assists some Member States in making arrangements to receive technical assistance directly from other Member States. The work covers a wide range, with isotopes predominating; about 30 projects deal with production of isotopes, their applications in medicine, agriculture and hydrology, in food preservation and industry. A number of projects are concerned with various aspects of reactor construction and use; others deal with health and safety, instrumentation, special branches of chemistry and

CHOOZ-A expert assessment program

International Nuclear Information System (INIS)

Bouat, M.; Godin, R.

1993-01-01

CHOOZ-A Nuclear Power Plant, the first French-Belgian PWR unit (300 MWe) was definitively shut down at the end of October 1991, after 24 years in operation. Since summer 1991, the steering committee of the French (EDF) Lifetime Project has initiated a large inquiry to the different technical specialists of EDF and external organizations, trying to define a wide expert assessment program on this plant. The aim is to improve the knowledge of aging mechanisms such as those observed on the 52 PWR French nuclear power plants (900 and 1,300 MWe), and contribute to the validation of non-destructive in-service testing methods. This paper presents the retained CHOOZ-A expert assessment program and technical lines followed during its set up. First major project stages are described, then technical choices are explained, and at last the final program is presented with the specific content of each expert assessment. The definitive program is scheduled for a three year period starting at the moment of final shutdown license acquisition, with a provisional total budget of more than US $10 million

Using fuzzy logic to improve the project time and cost estimation based on Project Evaluation and Review Technique (PERT

Directory of Open Access Journals (Sweden)

Farhad Habibi

2018-09-01

Full Text Available Among different factors, correct scheduling is one of the vital elements for project management success. There are several ways to schedule projects including the Critical Path Method (CPM and Program Evaluation and Review Technique (PERT. Due to problems in estimating dura-tions of activities, these methods cannot accurately and completely model actual projects. The use of fuzzy theory is a basic way to improve scheduling and deal with such problems. Fuzzy theory approximates project scheduling models to reality by taking into account uncertainties in decision parameters and expert experience and mental models. This paper provides a step-by-step approach for accurate estimation of time and cost of projects using the Project Evaluation and Review Technique (PERT and expert views as fuzzy numbers. The proposed method included several steps. In the first step, the necessary information for project time and cost is estimated using the Critical Path Method (CPM and the Project Evaluation and Review Technique (PERT. The second step considers the duration and cost of the project activities as the trapezoidal fuzzy numbers, and then, the time and cost of the project are recalculated. The duration and cost of activities are estimated using the questionnaires as well as weighing the expert opinions, averaging and defuzzification based on a step-by-step algorithm. The calculating procedures for evaluating these methods are applied in a real project; and the obtained results are explained.

A method for using expert judgement in PSA

International Nuclear Information System (INIS)

Pulkkinen, U.; Holmberg, J.

1997-03-01

The report discusses an expert judgement methodology development for applications at all levels of probabilistic safety assessment (PSA). The main applications are expected to be at PSA-levels 1 and 2. The method consists of several phases, including the selection and training of the experts, elicitation of experts' judgements, probabilistic modeling and combination of experts' judgements and documentation of the judgement process. The expert training and elicitation process is rather similar to that applied in the NUREG-1150 study. The combination of experts judgements is based on a Bayesian framework utilizing hierarchic models. The posterior distributions of the variables under analysis can be interpreted as a Bayesian counterpart of the combined or aggregated (consensus) distributions, and they are determined by applying Markov chain Monte-Carlo methods. The properties of the method are illustrated by some simple examples. The method is tested in a case study belonging to the benchmark exercise on the use of expert judgement in level 2 PSA, organized as a concerted action of European Commission Fourth Framework Programme on Nuclear Fission Safety. (14 refs.)

Mesothelioma Applied Research Foundation

Science.gov (United States)

... Foundation Experts Can Answer Your Questions! The Mesothelioma Applied Research Foundation's team of experts is available to answer ... a law firm. Read more about the Mesothelioma Applied Research Foundation . TO GET HELP CALL: (877) End-Meso ...

Expert system in PNC, 6

International Nuclear Information System (INIS)

Tsubota, Koji

1990-01-01

The application of Artificial Intelligence (AI) as a tool for mineral exploration started only a decade ago. The systems that have been reported are in the most cases the expert systems that can simulate the decision of the experts or help numerical calculation for more reasonable and/or fast decision making. PNC started the development of the expert system for uranium exploration in 1983. Since then, KOGITO, a expert system to find the favorability of the target area, has been developed. Two years ago, the second generation development, Intelligent Research Environment and Support System, IRESS was initiated aiming at the establishment of a total support system for a project evaluation. We will review our effort for development of our system and introduce the application of the Data directed Numerical method as a new tool to Ahnemland area in Australia. (author)

Expert systems as decision tools

International Nuclear Information System (INIS)

Scott, C.K.

1989-01-01

The feasibility of using expert systems as an aid in regulatory compliance functions has been investigated. A literature review was carried out to identify applications of expert systems to regulatory affairs. A bibliography of the small literature on such applications was prepared. A prototype system, ARIES, was developed to demonstrate the use of an expert system as an aid to a Project Officer in assuring compliance with licence requirements. The system runs on a personal computer with a graphical interface. Extensive use is made of hypertext to link interrelated rules and requirements as well as to provide an explanation facility. Based on the performance of ARIES the development of a field version is recommended

Expert Graphics System Research in the Department of the Navy.

Science.gov (United States)

Duff, Jon M.

1987-01-01

Presents current trends in the development of expert systems within the Department of the Navy, particularly research into expert graphics systems intended to support the Authoring Instructional Methods (AIM) research project. Defines artificial intelligence and expert systems. Discusses the operations and functions of the Navy's intelligent…

Expert systems for plant operations training and assistance

International Nuclear Information System (INIS)

Pack, R.W.; Lazar, P.M.; Schmidt, R.V.; Gaddy, C.D.

1988-01-01

The project described in this paper explored the use of expert systems for plant operations training and assistance. Three computer technologies were reviewed: computer-aided instruction, expert systems, and expert training systems (ETS). The technology of CAI has been developed since the early 1960s, and a wide range of applications are available commercially today. Expert systems have been developed primarily as job performance aids, and the number of commercial applications is increasing. A fully developed ETS has models of the trainer and trainee, in addition to a knowledge base

Selecting a Sustainable Disinfection Technique for Wastewater Reuse Projects

Directory of Open Access Journals (Sweden)

Jorge Curiel-Esparza

2014-09-01

Full Text Available This paper presents an application of the Analytical Hierarchy Process (AHP by integrating a Delphi process for selecting the best sustainable disinfection technique for wastewater reuse projects. The proposed methodology provides project managers a tool to evaluate problems with multiple criteria and multiple alternatives which involve non-commeasurable decision criteria, with expert opinions playing a major role in the selection of these treatment technologies. Five disinfection techniques for wastewater reuse have been evaluated for each of the nine criteria weighted according to the opinions of consulted experts. Finally, the VIKOR method has been applied to determine a compromise solution, and to establish the stability of the results. Therefore, the expert system proposed to select the optimal disinfection alternative is a hybrid method combining the AHP with the Delphi method and the VIKOR technique, which is shown to be appropriate in realistic scenarios where multiple stakeholders are involved in the selection of a sustainable disinfection technique for wastewater reuse projects.

Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert Stakeholders

Energy Technology Data Exchange (ETDEWEB)

Schwabe, P.; Mendelsohn, M.; Mormann, F.; Arent, D. J.

2012-06-01

Financing renewable energy projects in the United States can be a complex process. Most equity investment in new renewable power production facilities is supported by tax credits and accelerated depreciation benefits, and is constrained by the pool of potential investors that can fully use these tax benefits and are willing to engage in complex financial structures. For debt financing, non-government lending has largely been provided by foreign banks that may be under future lending constraints due to economic and regulatory conditions. To discuss renewable energy financing challenges and to identify new sources of capital to the U.S. market, two roundtable discussions were held with renewable energy and financing experts in April 2012. This report summarizes the key messages of those discussions and is designed to provide insights to the U.S. market and inform the international conversation on renewable energy financing innovations.

Knowledge management: an analysis of the tools of expert knowledge capture

International Nuclear Information System (INIS)

Fernandez Larcher, A.

2009-01-01

This work proposes the revision of the strategies and tools used to elicit and capture expert knowledge, particularly those suggested by the EPRI and the IAEA. The main objective of this paper consists of examining the effectiveness and scope of the methodologies proposed, in order to apply them and make them suitable according to our institutional context. This article emphasizes the value and usefulness of the interview's methods with the aim of implementing some of them to the activities created and organized by CNEA Nuclear Knowledge Management Group, especially to the ConRRad Project. (author)

Expert systems for assisting the analysis of hazards

International Nuclear Information System (INIS)

Evrard, J.M.; Martinez, J.M.; Souchet, Y.

1990-01-01

The advantage of applying expert systems in the analysis of safety in the operation of nuclear power plants is discussed. Expert systems apply a method based on a common representation of nuclear power plants. The main steps of the method are summarized. The applications given concern in the following fields: the analysis of hazards in the electric power supplies of a gas-graphite power plant; the evaluation of the availability of safety procedures in a PWR power plant; the search for the sources of leakage in a PWR power plant. The analysis shows that expert systems are a powerful tool in the study of safety of nuclear power plants [fr

Modeling external constraints: Applying expert systems to nuclear plants

International Nuclear Information System (INIS)

Beck, C.E.; Behera, A.K.

1993-01-01

Artificial Intelligence (AI) applications in nuclear plants have received much attention over the past decade. Specific applications that have been addressed include development of models and knowledge-bases, plant maintenance, operations, procedural guidance, risk assessment, and design tools. This paper examines the issue of external constraints, with a focus on the use of Al and expert systems as design tools. It also provides several suggested methods for addressing these constraints within the Al framework. These methods include a State Matrix scheme, a layered structure for the knowledge base, and application of the dynamic parameter concept

Adaptability of expert visual anticipation in baseball batting.

Science.gov (United States)

Müller, Sean; Fadde, Peter J; Harbaugh, Allen G

2017-09-01

By manipulating stimulus variation in terms of opponent pitcher actions, this study investigated the capability of expert (n = 30) and near-expert (n = 95) professional baseball batters to adapt anticipation skill when using the video simulation temporal occlusion paradigm. Participants watched in-game footage of two pitchers, one after the other, that was temporally occluded at ball release and various points during ball flight. They were required to make a written prediction of pitch types and locations. Per cent accuracy was calculated for pitch type, for pitch location, and for type and location combined. Results indicated that experts and near-experts could adapt their anticipation to predict above guessing level across both pitchers, but adaptation to the left-handed pitcher was poorer than the right-handed pitcher. Small-to-moderate effect sizes were found in terms of superior adaptation by experts over near-experts at the ball release and early ball flight occlusion conditions. The findings of this study extend theoretical and applied knowledge of expertise in striking sports. Practical application of the instruments and findings are discussed in terms of applied researchers, practitioners and high-performance staff in professional sporting organisations.

IDEA-system - a new computer based expert system for incorporation monitoring

International Nuclear Information System (INIS)

Doerfel, H.

2005-01-01

Full text: There is an increasing number of national and international recommendations and guidelines for incorporation monitoring (ICRP Publications, IAEA Safety Reports, ISO Standards, etc.). These recommendations cover different phases of incorporation monitoring and they provide general requirements for the measuring techniques, the monitoring procedures and for the procedures to evaluate intakes and doses from the monitoring results. There is, however, still a strong need for giving guidance to the dosimetrists on how to apply all the regulations properly. Thus, the EU project IDEAS was launched in order to provide general guidelines for the assessment of internal dose from incorporation monitoring data. These guidelines have recently been discussed in a virtual workshop on the internet (www.ideas-workshop.de) and they are being considered by ICRP for possible adoption in the near future. Recently, in the Karlsruhe Research Centre, a computer-based expert system has been developed for assisting dosimetrists in applying the relevant recommendations and guidelines for incorporation monitoring and internal dosimetry. The expert system gives guidance to the user with respect to: planning of monitoring (estimation of potential exposures, decision on the requirements of monitoring, definition of optimum measuring techniques and monitoring intervals); performing routine and special monitoring and evaluation of primary monitoring results. The evaluation of primary monitoring results is done according to the IDEAS guidelines in a threestage procedure according to the expected level of exposure (E = committed effective dose): standard evaluation with default or site specific parameter values (E 6 mSv). With these well-defined procedures the expert system follows the aim, that all recommendations and guidelines are applied properly and thus: internal exposures of more than 1 mSv are very likely to be detected in all situations; the results in terms of committed effective

An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)

Science.gov (United States)

Martin, Julien; Runge, Michael C.; Flewelling, Leanne J.; Deutsch, Charles J.; Landsberg, Jan H.

2017-11-20

the Southwest region was 0.35 (80-percent confidence interval [CI]: 0.21−0.52), whereas the forecast probability was 0.48 (80-percent CI: 0.30−0.64) over a 40-year projected time horizon. Moderate and intense RTMM events are expected to continue to be most frequent in the Southwest region, to increase in mean frequency in the Northwest region (historical frequency of moderate and intense RTMM events [combined] in the Northwest region was 0, whereas the forecast probability was 0.12 [80-percent CI: 0.02−0.39] over a 40-year projected time horizon) and in the Atlantic region (historical frequency of moderate and intense RTMM events [combined] in the Atlantic region was 0.05 [80-percent CI: 0.005–0.18], whereas the forecast probability was 0.11 [80-percent CI: 0.03−0.25] over a 40-year projected time horizon), and to remain absent from the Upper St. Johns River region. The impact of red-tide blooms on manatee mortality has been measured for the Southwest region but not for the Northwest and Atlantic regions, where such events have been rare. The expert panel predicted that the median magnitude of RTMM events in the Atlantic and Northwest regions will be much smaller than that in the Southwest; given the large uncertainties, however, they acknowledged the possibility that these events could be larger in their mortality impacts than in the Southwest region. By its nature, forecasting requires expert judgment because it is impossible to have empirical evidence about the future. The large uncertainties in parameter estimates over a 100-year timeframe are to be expected and may also indicate that the training provided to panelists successfully minimized one common pitfall of expert judgment, that of overconfidence. This study has provided useful and needed inputs to the Florida manatee population viability analysis associated with an important and recurrent source of mortality from harmful algal blooms.

Cost estimation: An expert-opinion approach. [cost analysis of research projects using the Delphi method (forecasting)

Science.gov (United States)

Buffalano, C.; Fogleman, S.; Gielecki, M.

1976-01-01

A methodology is outlined which can be used to estimate the costs of research and development projects. The approach uses the Delphi technique a method developed by the Rand Corporation for systematically eliciting and evaluating group judgments in an objective manner. The use of the Delphi allows for the integration of expert opinion into the cost-estimating process in a consistent and rigorous fashion. This approach can also signal potential cost-problem areas. This result can be a useful tool in planning additional cost analysis or in estimating contingency funds. A Monte Carlo approach is also examined.

Expert system applied at the Angra-2 Nuclear Power Plant to assist in the resolution of limiting conditions for operation

Energy Technology Data Exchange (ETDEWEB)

Schechter, André D.; Nicolau, Andressa S.; Schirru, Roberto, E-mail: schechterandre@poli.ufrj.br, E-mail: andressa@lmp.ufrj.br, E-mail: schirru@lmp.ufrj.br [Coordenacao de Pos-Graduacao e Pesquisa de Engenharia (COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear

2017-07-01

Expert Systems (ES) are widely used to help a common user act as an expert on a particular subject, the information is saved in the program database and the user introduces facts to be interpreted in real time. The inference engine will take these facts and return the answer of the expert. This tool is widely used, for example, in medicine to diagnose patients, game development, the mining industry, and the operation of nuclear power plants. In this article, a model of ES, of the real time, is development in order to treat the Limiting Conditions for Operation (LCO) of the Angra-2 Nuclear Power Plant. In this PWR plant, all information from the LCO comes from failure trees and the ES was adapted to be able to handle the facts with the values True, False, None and Null of the tree. The simulations results of this article and experiments with ES applied in LCOs show that it is an efficient computational tool to deal with this type of problem. The use of this type of technology in the operation of nuclear power plants can reduce the risk of an accident caused by human error, which is one of the most common causes in the history of the nuclear industry. (author)

Expert system applied at the Angra-2 Nuclear Power Plant to assist in the resolution of limiting conditions for operation

International Nuclear Information System (INIS)

Schechter, André D.; Nicolau, Andressa S.; Schirru, Roberto

2017-01-01

Expert Systems (ES) are widely used to help a common user act as an expert on a particular subject, the information is saved in the program database and the user introduces facts to be interpreted in real time. The inference engine will take these facts and return the answer of the expert. This tool is widely used, for example, in medicine to diagnose patients, game development, the mining industry, and the operation of nuclear power plants. In this article, a model of ES, of the real time, is development in order to treat the Limiting Conditions for Operation (LCO) of the Angra-2 Nuclear Power Plant. In this PWR plant, all information from the LCO comes from failure trees and the ES was adapted to be able to handle the facts with the values True, False, None and Null of the tree. The simulations results of this article and experiments with ES applied in LCOs show that it is an efficient computational tool to deal with this type of problem. The use of this type of technology in the operation of nuclear power plants can reduce the risk of an accident caused by human error, which is one of the most common causes in the history of the nuclear industry. (author)

Expert Systems: What Is an Expert System?

Science.gov (United States)

Duval, Beverly K.; Main, Linda

1994-01-01

Describes expert systems and discusses their use in libraries. Highlights include parts of an expert system; expert system shells; an example of how to build an expert system; a bibliography of 34 sources of information on expert systems in libraries; and a list of 10 expert system shells used in libraries. (Contains five references.) (LRW)

Source localization using recursively applied and projected (RAP) MUSIC

Energy Technology Data Exchange (ETDEWEB)

Mosher, J.C. [Los Alamos National Lab., NM (United States); Leahy, R.M. [Univ. of Southern California, Los Angeles, CA (United States). Signal and Image Processing Inst.

1998-03-01

A new method for source localization is described that is based on a modification of the well known multiple signal classification (MUSIC) algorithm. In classical MUSIC, the array manifold vector is projected onto an estimate of the signal subspace, but errors in the estimate can make location of multiple sources difficult. Recursively applied and projected (RAP) MUSIC uses each successively located source to form an intermediate array gain matrix, and projects both the array manifold and the signal subspace estimate into its orthogonal complement. The MUSIC projection is then performed in this reduced subspace. Using the metric of principal angles, the authors describe a general form of the RAP-MUSIC algorithm for the case of diversely polarized sources. Through a uniform linear array simulation, the authors demonstrate the improved Monte Carlo performance of RAP-MUSIC relative to MUSIC and two other sequential subspace methods, S and IES-MUSIC.

QUEST: Quality of Expert Systems

NARCIS (Netherlands)

Perre, M.

1991-01-01

TNO Physics and Electronics laboratory, in collaboration with the University of Limburg and the Research Institute for Knowledge Systems, worked on a technology project named 'QUEST: Quality of Expert Systems' [FEL90]. QUEST was carried out under commision of the Dutch Ministry of Defence. A strong

Expert Panel Elicitation of Seismicity Following Glaciation in Sweden

International Nuclear Information System (INIS)

Hora, Stephen; Jensen, Mikael

2005-12-01

The Swedish Radiation Protection Authority, the Swedish Nuclear Power Inspectorate and the Swedish Nuclear Fuel and Waste Management Company have jointly carried out a project on expert panel elicitation on the issue of glacial induced Swedish earthquakes. Following a broad nomination procedure, 5 experts were chosen by a selection committee of 4 professors within Earth sciences disciplines. The 5 experts presented judgments about the frequency of earthquakes greater the magnitude 6 within 10 km for two Swedish sites, Oskarshamn and Forsmark, in connection with a glaciation cycle. The experts' median value vas 0,1 earthquakes for one glaciation cycle

Expert Panel Elicitation of Seismicity Following Glaciation in Sweden

Energy Technology Data Exchange (ETDEWEB)

Hora, Stephen; Jensen, Mikael (eds.)

2005-12-15

The Swedish Radiation Protection Authority, the Swedish Nuclear Power Inspectorate and the Swedish Nuclear Fuel and Waste Management Company have jointly carried out a project on expert panel elicitation on the issue of glacial induced Swedish earthquakes. Following a broad nomination procedure, 5 experts were chosen by a selection committee of 4 professors within Earth sciences disciplines. The 5 experts presented judgments about the frequency of earthquakes greater the magnitude 6 within 10 km for two Swedish sites, Oskarshamn and Forsmark, in connection with a glaciation cycle. The experts' median value vas 0,1 earthquakes for one glaciation cycle.

Heuristics in Managing Complex Clinical Decision Tasks in Experts' Decision Making.

Science.gov (United States)

Islam, Roosan; Weir, Charlene; Del Fiol, Guilherme

2014-09-01

Clinical decision support is a tool to help experts make optimal and efficient decisions. However, little is known about the high level of abstractions in the thinking process for the experts. The objective of the study is to understand how clinicians manage complexity while dealing with complex clinical decision tasks. After approval from the Institutional Review Board (IRB), three clinical experts were interviewed the transcripts from these interviews were analyzed. We found five broad categories of strategies by experts for managing complex clinical decision tasks: decision conflict, mental projection, decision trade-offs, managing uncertainty and generating rule of thumb. Complexity is created by decision conflicts, mental projection, limited options and treatment uncertainty. Experts cope with complexity in a variety of ways, including using efficient and fast decision strategies to simplify complex decision tasks, mentally simulating outcomes and focusing on only the most relevant information. Understanding complex decision making processes can help design allocation based on the complexity of task for clinical decision support design.

Risk Management System and Project Staff Education Program for Overseas Construction Project Using the Expert System

OpenAIRE

Hirota, Yoichi

2007-01-01

The turnover of the Japanese contractors and the consulting firms has kept the same level since 1983, in spite of the fact that the size of domestic market is shrinking. This is why they do not have a proper management system, especially risk management system for the overseas construction projects. This study aims at building risk management system and developing education program that can be applied to reinforcing the ability, based on the author’s experience. Risk is defined as “uncertain ...

Inductive acquisition of expert knowledge

Energy Technology Data Exchange (ETDEWEB)

Muggleton, S.H.

1986-01-01

Expert systems divide neatly into two categories: those in which (1) the expert decisions result in changes to some external environment (control systems), and (2) the expert decisions merely seek to describe the environment (classification systems). Both the explanation of computer-based reasoning and the bottleneck (Feigenbaum, 1979) of knowledge acquisition are major issues in expert-systems research. The author contributed to these areas of research in two ways: 1. He implemented an expert-system shell, the Mugol environment, which facilitates knowledge acquisition by inductive inference and provides automatic explanation of run-time reasoning on demand. RuleMaster, a commercial version of this environment, was used to advantage industrially in the construction and testing of two large classification systems. 2. He investigated a new techniques called 'sequence induction' that can be used in construction of control systems. Sequence induction is based on theoretical work in grammatical learning. He improved existing grammatical learning algorithms as well as suggesting and theoretically characterizing new ones. These algorithms were successfully applied to acquisition of knowledge for a diverse set of control systems, including inductive construction of robot plans and chess end-gam strategies.

The use of intelligent systems for risk management in software projects

Directory of Open Access Journals (Sweden)

Oksana A. Gushchina

2017-06-01

Full Text Available Introduction: The article identifies the main risks of a software project, examines the use of different types of intelligent systems in the risk management process for software projects, discusses the basic methods used for process estimation and forecasting in the field of software engineering, identifies currently used empty expert systems, software systems for analysis and risk management of software projects. Materials and Methods: The author describes the peculiarities of risk management in the field of software engineering with involvement of intelligent systems. The intelligent techniques allow solving the control task with expert precision without the involvement of human experts. Results: The result of this work: – identification of the key risks of a software project (tax, legal, financial and commercial risks, IT risks, personnel risks, risks related to competitors, suppliers, marketing and demand and market; – investigation of the current, applied to risk management of software system projects, artificial intelligence, particularly expert systems and software tools for evaluation of the process results; – identification of the most popular empty expert systems (Clips, G2 and Leonardo and software products of the analysis of large databases (Orange, Weka, Rattle GUI, Apache Mahout, SCaViS, RapidMiner, Databionic ESOM Tools, ELKI, KNIME, Pandas and UIMA; – consideration of the cluster, correlation, regression, factor and dispersion analysis methods for the estimation and prediction of the processes of software engineering. Discussion and Conclusions: The results show the feasibility of the application of various intelligent systems in the risk management process. The analysis of methods of evaluating risks and the tendency of their application in the modern systems of intellectual analysis can serve as a start point for creating a unified system of risk management for software projects of medium and high complexity with a

A framework for building real-time expert systems

Science.gov (United States)

Lee, S. Daniel

1991-01-01

The Space Station Freedom is an example of complex systems that require both traditional and artificial intelligence (AI) real-time methodologies. It was mandated that Ada should be used for all new software development projects. The station also requires distributed processing. Catastrophic failures on the station can cause the transmission system to malfunction for a long period of time, during which ground-based expert systems cannot provide any assistance to the crisis situation on the station. This is even more critical for other NASA projects that would have longer transmission delays (e.g., the lunar base, Mars missions, etc.). To address these issues, a distributed agent architecture (DAA) is proposed that can support a variety of paradigms based on both traditional real-time computing and AI. The proposed testbed for DAA is an autonomous power expert (APEX) which is a real-time monitoring and diagnosis expert system for the electrical power distribution system of the space station.

Application of an expert system to optimize reservoir performance

International Nuclear Information System (INIS)

Gharbi, Ridha

2005-01-01

The main challenge of oil displacement by an injected fluid, such as in Enhanced Oil Recovery (EOR) processes, is to reduce the cost and improve reservoir performance. An optimization methodology, combined with an economic model, is implemented into an expert system to optimize the net present value of full field development with an EOR process. The approach is automated and combines an economic package and existing numerical reservoir simulators to optimize the design of a selected EOR process using sensitivity analysis. The EOR expert system includes three stages of consultations: (1) select an appropriate EOR process on the basis of the reservoir characteristics, (2) prepare appropriate input data sets to design the selected EOR process using existing numerical simulators, and (3) apply the discounted-cash-flow methods to the optimization of the selected EOR process to find out under what conditions at current oil prices this EOR process might be profitable. The project profitability measures were used as the decision-making variables in an iterative approach to optimize the design of the EOR process. The economic analysis is based on the estimated recovery, residual oil in-place, oil price, and operating costs. Two case studies are presented for two reservoirs that have already been produced to their economic limits and are potential candidates for surfactant/polymer flooding, and carbon-dioxide flooding, respectively, or otherwise subject to abandonment. The effect of several design parameters on the project profitability of these EOR processes was investigated

Guidelines for the verification and validation of expert system software and conventional software: Validation scenarios. Volume 6

International Nuclear Information System (INIS)

Mirsky, S.M.; Hayes, J.E.; Miller, L.A.

1995-03-01

This report is the sixth volume in a series of reports describing the results of the Expert System Verification and Validation (V ampersand V) project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V ampersand V of expert systems for use in nuclear power applications. This activity was concerned with the development of a methodology for selecting validation scenarios and subsequently applying it to two expert systems used for nuclear utility applications. Validation scenarios were defined and classified into five categories: PLANT, TEST, BASICS, CODE, and LICENSING. A sixth type, REGRESSION, is a composite of the others and refers to the practice of using trusted scenarios to ensure that modifications to software did not change unmodified functions. Rationale was developed for preferring scenarios selected from the categories in the order listed and for determining under what conditions to select scenarios from other types. A procedure incorporating all of the recommendations was developed as a generalized method for generating validation scenarios. The procedure was subsequently applied to two expert systems used in the nuclear industry and was found to be effective, given that an experienced nuclear engineer made the final scenario selections. A method for generating scenarios directly from the knowledge base component was suggested

Guidelines for the verification and validation of expert system software and conventional software: Validation scenarios. Volume 6

Energy Technology Data Exchange (ETDEWEB)

Mirsky, S.M.; Hayes, J.E.; Miller, L.A. [Science Applications International Corp., McLean, VA (United States)

1995-03-01

This report is the sixth volume in a series of reports describing the results of the Expert System Verification and Validation (V&V) project which is jointly funded by the US Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. This activity was concerned with the development of a methodology for selecting validation scenarios and subsequently applying it to two expert systems used for nuclear utility applications. Validation scenarios were defined and classified into five categories: PLANT, TEST, BASICS, CODE, and LICENSING. A sixth type, REGRESSION, is a composite of the others and refers to the practice of using trusted scenarios to ensure that modifications to software did not change unmodified functions. Rationale was developed for preferring scenarios selected from the categories in the order listed and for determining under what conditions to select scenarios from other types. A procedure incorporating all of the recommendations was developed as a generalized method for generating validation scenarios. The procedure was subsequently applied to two expert systems used in the nuclear industry and was found to be effective, given that an experienced nuclear engineer made the final scenario selections. A method for generating scenarios directly from the knowledge base component was suggested.

Critical success factors in infrastructure projects

Science.gov (United States)

Zakaria, Siti Fairus; Zin, Rosli Mohamad; Mohamad, Ismail; Balubaid, Saeed; Mydin, Shaik Hussein; Mohd Rahim, E. M. Roodienyanto

2017-11-01

Construction of infrastructure project is different from buildings. The main difference is term of project site where infrastructure project need to command a long stretch while building mostly confine to a limited area. As such factors that are critical to infrastructure project may not be that significant to building project and vice versa. Flood mitigation can be classified under infrastructure projects under which their developments are planned by the government with the specific objective to reduce or avoid the negative effects of flood to the environment and livelihood. One of the indicators in project success is delay. The impact of project delay in construction industry is significant that it decelerates the projects implementation, specifically the government projects. This study attempted to identify and compare the success factors between infrastructure and building projects, as such comparison rarely found in the current literature. A model of flood mitigation projects' success factors was developed by merging the experts' views and reports from the existing literature. The experts' views were obtained from the responses to open-ended questions on the required fundamentals to achieve successful completion of flood mitigation projects. An affinity analysis was applied to these responses to develop the model. The developed model was then compared to the established success factors found in building project, extracted from the previous studies to identify the similarities and differences between the two models. This study would assist the government and construction players to become more effective in constructing successful flood mitigation projects for the future practice in a flood-prone country like Malaysia.

Seeing the Wood for the Trees: Applying the Dual-Memory System Model to Investigate Expert Teachers' Observational Skills in Natural Ecological Learning Environments

Science.gov (United States)

Stolpe, Karin; Bjorklund, Lars

2012-01-01

This study aims to investigate two expert ecology teachers' ability to attend to essential details in a complex environment during a field excursion, as well as how they teach this ability to their students. In applying a cognitive dual-memory system model for learning, we also suggest a rationale for their behaviour. The model implies two…

MANAGEMENT OF RISKS BASED ON INTERACTION BETWEEN CONSTRUCTION EXPERT AND CUSTOMER ORGANIZATION

Directory of Open Access Journals (Sweden)

Александр Васильевич Харитонович

2016-02-01

Full Text Available The paper describes problems connected to management of risk and key characteristics of interaction of construction expert and organization-customer of expert services. We have conducted the analysis of different schemes used for management of risk, their advantages and disadvantages. In addition authors describe the main opportunities that appear in the organization as a result of the systematic engagement of an external expert at different stages of investment and construction project (getting recommendations aimed at improving of the organization adaptability to changes and risks; improving the efficiency of management of investment and construction projects etc..

SUCCESS CONCEPT ANALYSIS APPLIED TO THE INFORMATION TECHNOLOGY PROJECT MANAGEMENT

Directory of Open Access Journals (Sweden)

Cassio C. Montenegro Duarte

2012-05-01

Full Text Available This study evaluates the concept of success in project management that is applicable to the IT universe, from the classical theory associated with the techniques of project management. Therefore, it applies the theoretical analysis associated to the context of information technology in enterprises as well as the classic literature of traditional project management, focusing on its application in business information technology. From the literature developed in the first part of the study, four propositions were prepared for study which formed the basis for the development of the field research with three large companies that develop projects of Information Technology. The methodology used in the study predicted the development of the multiple case study. Empirical evidence suggests that the concept of success found in the classical literature in project management adjusts to the environment management of IT projects. Showed that it is possible to create the model of standard IT projects in order to replicate it in future derivatives projects, which depends on the learning acquired at the end of a long and continuous process and sponsorship of senior management, which ultimately results in its merger into the company culture.

The DELPHI expert process of the German umbrella project AUGE as basis for recommendations to CO2 storage in Germany

Science.gov (United States)

Pilz, Peter; Schoebel, Birgit; Liebscher, Axel

2016-04-01

Within the GEOTECHNOLOGIEN funding scheme for geological CO2 storage by the Federal Ministry of Education and Research (BMBF) in Germany 33 projects (135 subprojects) have been funded with a total budget of 58 Mio € (excluding industry funds) from 2005 to 2014. In 2012, the German parliament passed the transposition of the EU CCS Directive 2009/31/EG into the national "Carbon Dioxide Storage Law" (KSpG). Annex 1 of the KSpG provides a description of criteria for the characterization and assessment of a potential CO2 storage site. Annex 2 describes the expected monitoring system of a CO2 storage site. The criteria given in the appendices are of general nature, which reflects (1) that the CO2 storage technology is still being developed and (2) that site specific aspects needs to be considered. In 2012 an umbrella project called AUGE has been launched in order to compile and summarize the results of the GEOTECHNOLOGIEN projects to underpin the two Annexes scientifically. By integration of the individual project results AUGE aims at derive recommendations for the review and implementation of the KSpG. The recommendations shall be drafted based on a common ground of science, public authorities and industry. Therefore, the AUGE project includes a Delphi expert process as an essential part. It is realized in cooperation with the company COMPARE Consulting, Göppingen. The implementation of the Delphi-Process is organized in three steps: • After the technical preparation of a standardized questionnaire (2014/2015) it was sent to 129 experts from science, industry and public authorities in Germany. After a few weeks of consideration time, 40 persons (30 %) had decided to participate actively in this inquiry. • Following the results of the first interrogation campaign, the second survey campaign started at the end of 2015. The same list of questions was used, complemented with the results of the first inquiry campaign. The intention is reduce the variance of the

Concept of expert system for modal split in transportation planning

Directory of Open Access Journals (Sweden)

Popović Maja M.

2006-01-01

Full Text Available The objective of this paper is to develop a concept of expert system based on the survey of experts' opinions and their experience concerning relations in modal split, on the basis of parameters of transport system demand and transport supply, defined through PT travel time and city size, i.e. mean trip length. This expert system could be of use both to experts and less experienced planners who could apply the knowledge contained in this expert system for further improvement, on operational as well as on strategic level.

Expert systems: an alternative paradigm

Energy Technology Data Exchange (ETDEWEB)

Coombs, M.; Alty, J.

1984-01-01

There has recently been a significant effort by the AI community to interest industry in the potential of expert systems. However, this has resulted in far fewer substantial applications projects than might be expected. This article argues that this is because human experts are rarely required to perform the role that computer-based experts are programmed to adopt. Instead of being called in to answer well-defined problems, they are more often asked to assist other experts to extend and refine their understanding of a problem area at the junction of their two domains of knowledge. This more properly involves educational rather than problem-solving skills. An alternative approach to expert system design is proposed based upon guided discovery learning. The user is provided with a supportive environment for a particular class of problem, the system predominantly acting as an adviser rather than directing the interaction. The environment includes a database of domain knowledge, a set of procedures for its application to a concrete problem, and an intelligent machine-based adviser to judge the user's effectiveness and advise on strategy. The procedures focus upon the use of user generated explanations both to promote the application of domain knowledge and to expose understanding difficulties. Simple database PROLOG is being used as the subject material for the prototype system which is known as MINDPAD. 30 references.

Impact of Requirements Elicitation Processes on Success of Information System Development Projects

Directory of Open Access Journals (Sweden)

Bormane Līga

2016-12-01

Full Text Available Requirements articulating user needs and corresponding to enterprise business processes are a key to successful implementation of information system development projects. However, the parties involved in projects frequently are not able to agree on a common development vision and have difficulties expressing their needs. Several industry experts have acknowledged that requirements elicitation is one of the most difficult tasks in development projects. This study investigates the impact of requirements elicitation processes on project outcomes depending on the applied project development methodology.

An hierarchical approach to performance evaluation of expert systems

Science.gov (United States)

Dominick, Wayne D. (Editor); Kavi, Srinu

1985-01-01

The number and size of expert systems is growing rapidly. Formal evaluation of these systems - which is not performed for many systems - increases the acceptability by the user community and hence their success. Hierarchical evaluation that had been conducted for computer systems is applied for expert system performance evaluation. Expert systems are also evaluated by treating them as software systems (or programs). This paper reports many of the basic concepts and ideas in the Performance Evaluation of Expert Systems Study being conducted at the University of Southwestern Louisiana.

Techniques and implementation of the embedded rule-based expert system using Ada

Science.gov (United States)

Liberman, Eugene M.; Jones, Robert E.

1991-01-01

Ada is becoming an increasingly popular programming language for large Government-funded software projects. Ada with its portability, transportability, and maintainability lends itself well to today's complex programming environment. In addition, expert systems have also assured a growing role in providing human-like reasoning capability and expertise for computer systems. The integration of expert system technology with Ada programming language, specifically a rule-based expert system using an ART-Ada (Automated Reasoning Tool for Ada) system shell is discussed. The NASA Lewis Research Center was chosen as a beta test site for ART-Ada. The test was conducted by implementing the existing Autonomous Power EXpert System (APEX), a Lisp-base power expert system, in ART-Ada. Three components, the rule-based expert system, a graphics user interface, and communications software make up SMART-Ada (Systems fault Management with ART-Ada). The main objective, to conduct a beta test on the ART-Ada rule-based expert system shell, was achieved. The system is operational. New Ada tools will assist in future successful projects. ART-Ada is one such tool and is a viable alternative to the straight Ada code when an application requires a rule-based or knowledge-based approach.

Expert witness and Jungian archetypes.

Science.gov (United States)

Lallave, Juan Antonio; Gutheil, Thomas Gordon

2012-01-01

Jung's theories of archetype, shadow, and the personal and collective unconscious provide a postmodern framework in which to consider the role of the expert witness in judicial proceedings. Archetypal themes, motifs, and influences help to illuminate the shadow of the judicial system and projections and behaviors among the cast of the court in pursuing justice. This article speaks to archetypal influences and dialectical tensions encountered by the expert witness in this judicial drama. The archetype of Justice is born from the human need for order and relational fairness in a world of chaos. The persona of justice is the promise of truth in the drama. The shadow of justice is untruth, the need to win by any means. The dynamics of the trickster archetype serve and promote injustice. These influences are examined by means of a case example. This approach will deepen understanding of court proceedings and the role of the expert witness in the heroic quest for justice. Copyright © 2012 Elsevier Ltd. All rights reserved.

An overview of HyFIE Technical Research Project: cross testing in main European hypersonic wind tunnels on EXPERT body

OpenAIRE

Brazier , J.P.; Schramm , J.M.; Paris , S.; Gawehn , T.

2015-01-01

International audience; HyFIE project aimed at improving the measurement techniques in hypersonic wind-tunnels and comparing the experimental data provided by four major European facilities: DLR HEG and H2K, ONERA F4 and VKI Longshot. A common geometry of EXPERT body was chosen and four different models were used. A large amount of experimental data was collected and compared with the results of numerical simulations. Collapsing all the measured values showed a good agreement between the diff...

Expert system for compressor maintenance support; Sistema especialista para apoio a manutencao de compressores

Energy Technology Data Exchange (ETDEWEB)

Silva, Jonny Carlos da [Universidade Federal de Santa Catarina (UFSC), Florianopolis, SC (Brazil). Dept. de Engenharia Mecanica; Caletti, Luciano [KEOHPS - Knowledge Engineering on Hydraulic and Pneumatic System, SC (Brazil); Luna, Paulo de T.M. [Universidade Regional de Blumenau - FURB, SC (Brazil)

2004-07-01

The performance of critical machines in industrial processes, such as compressors used in industrial plants, is fundamental for overall company operation. In this context, it becomes strategic the application of methods and tools to support the operation and maintenance of the most relevant process equipment. Among these computational tools are the Expert Systems, which aim to emulate the decision making process of human experts in a specific knowledge domain. In Oil and Gas domain, an example of such tools is the SEGRED project, which combines expert system techniques with dynamic simulation of transport and distribution natural gas networks. The SECOMP project, Expert System for Compressor Maintenance, is considered a spin-off of the SEGRED. Its objective is to develop an expert system to support maintenance activities, aiming to increase reliability, improve performance and reduce maintenance and operational costs. This article presents the first phase of the SECOMP project, which is related to the development of an expert system prototype for corrective maintenance of natural gas reciprocating compressors. The paper discusses the context of this knowledge domain, the prototype development and its potential contribution in an industrial environment. (author)

Work Breakdown Structures The Foundation for Project Management Excellence

CERN Document Server

Norman, Eric S; Fried, Robert T

2011-01-01

Understand and apply new concepts regarding Work Breakdown Structures The Work Breakdown Structure (WBS) has emerged as a foundational concept and tool in Project Management. It is an enabler that ensures clear definition and communication of project scope while performing a critical role as a monitoring and controlling tool. Created by the three experts who led the development of PMI's Practice Standard for Work Breakdown Structures, Second Edition, this much-needed text expands on what the standard covers and describes how to go about successfully implementing the WBS within the project life

Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish.

Directory of Open Access Journals (Sweden)

Teresa Correia

Full Text Available Optical projection tomography (OPT provides a non-invasive 3-D imaging modality that can be applied to longitudinal studies of live disease models, including in zebrafish. Current limitations include the requirement of a minimum number of angular projections for reconstruction of reasonable OPT images using filtered back projection (FBP, which is typically several hundred, leading to acquisition times of several minutes. It is highly desirable to decrease the number of required angular projections to decrease both the total acquisition time and the light dose to the sample. This is particularly important to enable longitudinal studies, which involve measurements of the same fish at different time points. In this work, we demonstrate that the use of an iterative algorithm to reconstruct sparsely sampled OPT data sets can provide useful 3-D images with 50 or fewer projections, thereby significantly decreasing the minimum acquisition time and light dose while maintaining image quality. A transgenic zebrafish embryo with fluorescent labelling of the vasculature was imaged to acquire densely sampled (800 projections and under-sampled data sets of transmitted and fluorescence projection images. The under-sampled OPT data sets were reconstructed using an iterative total variation-based image reconstruction algorithm and compared against FBP reconstructions of the densely sampled data sets. To illustrate the potential for quantitative analysis following rapid OPT data acquisition, a Hessian-based method was applied to automatically segment the reconstructed images to select the vasculature network. Results showed that 3-D images of the zebrafish embryo and its vasculature of sufficient visual quality for quantitative analysis can be reconstructed using the iterative algorithm from only 32 projections-achieving up to 28 times improvement in imaging speed and leading to total acquisition times of a few seconds.

Lessons learned applying CASE methods/tools to Ada software development projects

Science.gov (United States)

Blumberg, Maurice H.; Randall, Richard L.

1993-01-01

This paper describes the lessons learned from introducing CASE methods/tools into organizations and applying them to actual Ada software development projects. This paper will be useful to any organization planning to introduce a software engineering environment (SEE) or evolving an existing one. It contains management level lessons learned, as well as lessons learned in using specific SEE tools/methods. The experiences presented are from Alpha Test projects established under the STARS (Software Technology for Adaptable and Reliable Systems) project. They reflect the front end efforts by those projects to understand the tools/methods, initial experiences in their introduction and use, and later experiences in the use of specific tools/methods and the introduction of new ones.

Decision-making behavior of experts at nuclear power plants. Regulatory focus influence on cognitive heuristics; Entscheidungsverhalten von Experten in Kernkraftwerken. Der Einfluss des regulatorischen Fokus auf kognitive Heuristiken

Energy Technology Data Exchange (ETDEWEB)

Beck, Johannes

2015-09-15

The goal of this research project was to examine factors, on the basis of regulatory focus theory and the heuristics and biases approach, that influence decision-making processes of experts at nuclear power plants. Findings show that this group applies anchoring (heuristic) when evaluating conjunctive and disjunctive events and that they maintain a constant regulatory focus characteristic. No influence of the experts' characteristic regulatory focus on cognitive heuristics could be established. Theoretical and practical consequences on decision-making behavior of experts are presented. Finally, a method for measuring the use of heuristics especially in the nuclear industry is discussed.

Teen Experts Guide Makerspace Makeover

Science.gov (United States)

Graves, Colleen

2014-01-01

A makerspace is a place where makers can envision a project, find an expert, and create something. Libraries have always held programming during which patrons were able to come in and create. The makerspace at the Lamar Middle School in Flower Mound, Texas, is available for students every day, so that they can daily create and play with innovative…

Topics in expert system design methodologies and tools

CERN Document Server

Tasso, C

1989-01-01

Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology.This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated coll

Problematic Aspects of the Use of Expert Systems in Law

Directory of Open Access Journals (Sweden)

Marius Kalinauskas

2011-08-01

Full Text Available Summary. The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack

Problematic Aspects of the Use of Expert Systems in Law

Directory of Open Access Journals (Sweden)

Marius Kalinauskas

2013-08-01

Full Text Available The usage of expert systems in law brings many problematic questions. Complexity and intricacy of law, combined with limited possibilities of information technologies makes it difficult to create flawlessly working expert systems. In this article the author analyses problematic aspects related to expert system usage in law. Comparisons of various research are made according to analysis of scientific articles. The author analyses practical difficulties of legal norm representation, creation of expert knowledge ontology, expert systems liability issues. Legal responsibility of expert system developers, users, and owners are also covered in this paper. Creation of legal ontologies is a complicated process because of the nature of the subject itself and the complexity and quantity of knowledge which must be represented in order to have fully functional legal expert system. Legal information basically consists of legal norms, doctrine, precedents and expert knowledge. All of these areas have specific representation issues, but the most difficult part is to make ontology and representation of expert knowledge. Different experts may have distinct points of view in some similar cases. Human decisions are made not only by applying certain rules to the problem decision pattern. Providence, analytical skills and critical thinking is required in legal professional work. Human reasoning and decision-making is not only based on symbolic values, it also consists of intermediate symbolic assumptions. So the question is: is it possible to give a clear structure to something which has no permanent state? The other problem which is analyzed in this article is artificial reasoning methods, which are basically different forms of pattern recognition with some specific methods applied to them. The second part of the paper analyses the liability of expert systems. Nowadays expert systems can’t be legally responsible for their decisions. They lack intellectual

An Aural Learning Project: Assimilating Jazz Education Methods for Traditional Applied Pedagogy

Science.gov (United States)

Gamso, Nancy M.

2011-01-01

The Aural Learning Project (ALP) was developed to incorporate jazz method components into the author's classical practice and her applied woodwind lesson curriculum. The primary objective was to place a more focused pedagogical emphasis on listening and hearing than is traditionally used in the classical applied curriculum. The components of the…

Applied software risk management a guide for software project managers

CERN Document Server

Pandian, C Ravindranath

2006-01-01

Few software projects are completed on time, on budget, and to their original specifications. Focusing on what practitioners need to know about risk in the pursuit of delivering software projects, Applied Software Risk Management: A Guide for Software Project Managers covers key components of the risk management process and the software development process, as well as best practices for software risk identification, risk planning, and risk analysis. Written in a clear and concise manner, this resource presents concepts and practical insight into managing risk. It first covers risk-driven project management, risk management processes, risk attributes, risk identification, and risk analysis. The book continues by examining responses to risk, the tracking and modeling of risks, intelligence gathering, and integrated risk management. It concludes with details on drafting and implementing procedures. A diary of a risk manager provides insight in implementing risk management processes.Bringing together concepts ...

The Development of Russian-Chinese Expert Contacts on International Relations

Directory of Open Access Journals (Sweden)

Ivan A. Safranchuk

2015-01-01

Full Text Available Abstract: This article is devoted to the contacts of Russian and Chinese experts on international relations and to the visit of MGIMO-University delegation to Beijing in June 2015. The article studies the major tracks of expert dialogue between Russian and Chinese experts on contemporary international affairs: the situation in the Near and Middle East, the developments in Eurasia, the major regional conflicts. The particular attention in the Russian-Chinese expert debates is devoted to the topic of Eurasia and the perspective for agreed implementation of Russia-sponsored Eurasian Economic Union and China-sponsored Economic belt of Silk Road. The article dwells upon the key issues in the Russian-Chinese dialogue on the Eurasian affairs. Additionally the article unveils the proposals by the US experts, concerning the development of Russian-Chinese dialogue on these matters. In 2015 the US experts developed new ideas on the regional issues in Eurasia, they offer to coordinate the Chinese project Economic belt of Silk Road and the US project of New Silk Road. In 2015 the historical topic gained momentum in the Russian-Chinese expert debates. Now Russia and China jointly oppose the attempts of some countries to revisit the results of World War II. However while Russia and China are both committed to the traditional interpretations of World war II and resist any revisionism of those results, still the Chinese experts argue in favor of greater appreciation of the role and contribution by China to the victory over fascism and militarism in World war II. The article also overviews interesting discussions between Russian and Chinese experts on the reform of global governance and the formation of the new world order.

Managing MDO Software Development Projects

Science.gov (United States)

Townsend, J. C.; Salas, A. O.

2002-01-01

Over the past decade, the NASA Langley Research Center developed a series of 'grand challenge' applications demonstrating the use of parallel and distributed computation and multidisciplinary design optimization. All but the last of these applications were focused on the high-speed civil transport vehicle; the final application focused on reusable launch vehicles. Teams of discipline experts developed these multidisciplinary applications by integrating legacy engineering analysis codes. As teams became larger and the application development became more complex with increasing levels of fidelity and numbers of disciplines, the need for applying software engineering practices became evident. This paper briefly introduces the application projects and then describes the approaches taken in project management and software engineering for each project; lessons learned are highlighted.

INFORMATION TECHNOLOGY IN INVESTMENT PROJECT MANAGEMENT

Directory of Open Access Journals (Sweden)

Vjacheslav A. Kozlov

2014-01-01

Full Text Available In the article it is proved that use of information technology today is not only something innovative distinctive feature and competitive advantage for organizations, but it is a necessary condition for effective business. The article discusses the main functionality of financial-analytical system Project Expert as an effective tool of investment project management and instrument of business planning. The main advantages which organizations get from Project Expert program use are in detail considered. Thus in the article Project Expert is considered as the effective tool of investment project management which allows to receive a number of advantages and to carry out the qualitative analysis of projects.

Diagnosis - Using automatic test equipment and artificial intelligence expert systems

Science.gov (United States)

Ramsey, J. E., Jr.

Three expert systems (ATEOPS, ATEFEXPERS, and ATEFATLAS), which were created to direct automatic test equipment (ATE), are reviewed. The purpose of the project was to develop an expert system to troubleshoot the converter-programmer power supply card for the F-15 aircraft and have that expert system direct the automatic test equipment. Each expert system uses a different knowledge base or inference engine, basing the testing on the circuit schematic, test requirements document, or ATLAS code. Implementing generalized modules allows the expert systems to be used for any different unit under test. Using converted ATLAS to LISP code allows the expert system to direct any ATE using ATLAS. The constraint propagated frame system allows for the expansion of control by creating the ATLAS code, checking the code for good software engineering techniques, directing the ATE, and changing the test sequence as needed (planning).

The development of an expert system to tune a beam line

International Nuclear Information System (INIS)

Schultz, D.E.; Brown, P.A.; British Columbia Univ., Vancouver, BC

1989-01-01

The experience of developing an Expert System to aid in the tuning of the Ion Source Injection beam line at TRIUMF is described. The challenging and complex task of introducing Expert System technology into an established accelerator operation is outlined. Success in this environment depends strongly on the choice of project, the choice of experts, the choice of tools, and the methods used to represent the expertise. All these choices are discussed

Expert systems for space power supply: design, analysis, and evaluation

International Nuclear Information System (INIS)

Cooper, R.S.; Thomson, M.K.; Hoshor, A.

1987-01-01

The authors evaluated the feasibility of applying expert systems to the conceptual design, analysis, and evaluation of space power supplies in particular, and complex systems in general. To do this, they analyzed the space power supply design process and in associated knowledge base, and characterized them in a form suitable for computer emulation of a human expert. The existing expert system tools and the results achieved with them were evaluated to assess their applicability to power system design. They applied some new concepts for combining program architectures (modular expert systems and algorithms) with information about the domain to create a deep system for handling the complex design problem. They authors developed, programmed and tested NOVICE, a code to solve a simplified version of a scoping study of a wide variety of power supply types for a broad range of missions, as a concrete feasibility demonstration

Telecontrol - Expert systems. Real-time monitoring and remote diagnostic

Energy Technology Data Exchange (ETDEWEB)

Lam, A.

1996-09-01

The role of expert systems in programming simple and complex tasks in utilities companies was discussed with examples from B.C. Hydro, where expert systems have been used in such diverse applications as an in-house programmable logic controller (PLC) training course, and a machine audit on a 150 MW steam turbine generating unit at their Burrard Thermal Generating Plant. The PLC tutoring program uses expert system technology for the air blast circuit breakers` air drier system, for individualized on-site training. The steam turbine audits (an eight-month long project) were performed remotely by dialing an on-site computer configured with customized expert software. Details of these, and other potential applications, such as transformer monitoring and diagnostics, circuit breaker performance analysis, and information management, were described.

An outline of a model-based expert system to identify optimal remedial strategies for restoring contaminated acquatic ecosystems: The project ``moira``

Energy Technology Data Exchange (ETDEWEB)

Appelgren, A.; Bergstrom, U. [Studsvik Eco and AB, Nykoping (Sweden); Brittain, J. [Oslo Univ. (Norway). LFI Zoological Museum; Gallego Diaz, E. [Madrid Universidad Politecnica (Spain). Dept. de Ingenieria Nuclear; Hakanson, L. [KEMA Nuclear, Arnhem (Niger); Monte, L. [ENEA, Centro Ricerche Casaccia, Rome (Italy). Dip. Ambiente

1996-10-01

The present report describes the fundamental principles of the research programme MOIRA (a model based computerized system for management support to Identify optimal remedial strategies for Restoring radionuclide contaminated Aquatic ecosystems and drainage areas) financed by the EC (European Community) (Contract N F14P-CT96-0036). The interventions to restore radionuclides contaminated aquatic systems may result in detrimental ecological, social and economical effects. Decision makers must carefully evaluate these impacts. The main aim of the MOIRA project is the development of an expert system based on validated models predicting the evolution of the radioactive contamination of fresh water systems following countermeasure applications and their relevant ecological, social and economical impacts. The expert system will help decision makers, that are not necessarily gifted with experience in environmental modeling, to identify optimal remedial strategies for restoring contaminated fresh water systems.

An outline of a model-based expert system to identify optimal remedial strategies for restoring contaminated aquatic ecosystems: the project MOIRA

International Nuclear Information System (INIS)

Appelgren, A.; Bergstrom, U.; Brittain, J.; Monte, L.

1996-10-01

The present report describes the fundamental principles of the research programme MOIRA (a model based computerized system for management support to Identify optimal remedial strategies for Restoring radionuclide contaminated Aquatic ecosystems and drainage areas) financed by the EC (European Community) (Contract N F14P-CT96-0036). The interventions to restore radionuclides contaminated aquatic systems may result in detrimental ecological, social and economical effects. Decision makers must carefully evaluate these impacts. The main aim of the MOIRA project is the development of an expert system based on validated models predicting the evolution of the radioactive contamination of fresh water systems following countermeasure applications and their relevant ecological, social and economical impacts. The expert system will help decision makers, that are not necessarily gifted with experience in environmental modeling, to identify optimal remedial strategies for restoring contaminated fresh water systems

Statistical models for expert judgement and wear prediction

International Nuclear Information System (INIS)

Pulkkinen, U.

1994-01-01

This thesis studies the statistical analysis of expert judgements and prediction of wear. The point of view adopted is the one of information theory and Bayesian statistics. A general Bayesian framework for analyzing both the expert judgements and wear prediction is presented. Information theoretic interpretations are given for some averaging techniques used in the determination of consensus distributions. Further, information theoretic models are compared with a Bayesian model. The general Bayesian framework is then applied in analyzing expert judgements based on ordinal comparisons. In this context, the value of information lost in the ordinal comparison process is analyzed by applying decision theoretic concepts. As a generalization of the Bayesian framework, stochastic filtering models for wear prediction are formulated. These models utilize the information from condition monitoring measurements in updating the residual life distribution of mechanical components. Finally, the application of stochastic control models in optimizing operational strategies for inspected components are studied. Monte-Carlo simulation methods, such as the Gibbs sampler and the stochastic quasi-gradient method, are applied in the determination of posterior distributions and in the solution of stochastic optimization problems. (orig.) (57 refs., 7 figs., 1 tab.)

Computer-assisted expert case definition in electronic health records.

Science.gov (United States)

Walker, Alexander M; Zhou, Xiaofeng; Ananthakrishnan, Ashwin N; Weiss, Lisa S; Shen, Rongjun; Sobel, Rachel E; Bate, Andrew; Reynolds, Robert F

2016-02-01

To describe how computer-assisted presentation of case data can lead experts to infer machine-implementable rules for case definition in electronic health records. As an illustration the technique has been applied to obtain a definition of acute liver dysfunction (ALD) in persons with inflammatory bowel disease (IBD). The technique consists of repeatedly sampling new batches of case candidates from an enriched pool of persons meeting presumed minimal inclusion criteria, classifying the candidates by a machine-implementable candidate rule and by a human expert, and then updating the rule so that it captures new distinctions introduced by the expert. Iteration continues until an update results in an acceptably small number of changes to form a final case definition. The technique was applied to structured data and terms derived by natural language processing from text records in 29,336 adults with IBD. Over three rounds the technique led to rules with increasing predictive value, as the experts identified exceptions, and increasing sensitivity, as the experts identified missing inclusion criteria. In the final rule inclusion and exclusion terms were often keyed to an ALD onset date. When compared against clinical review in an independent test round, the derived final case definition had a sensitivity of 92% and a positive predictive value of 79%. An iterative technique of machine-supported expert review can yield a case definition that accommodates available data, incorporates pre-existing medical knowledge, is transparent and is open to continuous improvement. The expert updates to rules may be informative in themselves. In this limited setting, the final case definition for ALD performed better than previous, published attempts using expert definitions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Price competition between an expert and a non-expert

OpenAIRE

Bouckaert, J.M.C.; Degryse, H.A.

1998-01-01

This paper characterizes price competition between an expert and a non-expert. In contrast with the expert, the non-expert’s repair technology is not always successful. Consumers visit the expert after experiencing an unsuccessful match at the non-expert. This re-entry affects the behaviour of both sellers. For low enough probability of successful repair at the non-expert, all consumers first visit the non-expert, and a ‘timid-pricing’ equilibrium results. If the non-expert’s repair technolog...

Validation methodology focussing on fuel efficiency as applied in the eCoMove project

NARCIS (Netherlands)

Themann, P.; Iasi, L.; Larburu, M.; Trommer, S.

2012-01-01

This paper discusses the validation approach applied in the eCoMove project (a large scale EU 7th Framework Programme project). In this project, applications are developed that on the one hand optimise network-wide traffic management and control, and on the other hand advise drivers on the most

Howard University Energy Expert Systems Institute Summer Program (EESI)

Science.gov (United States)

Momoh, James A.; Chuku, Arunsi; Abban, Joseph

1996-01-01

Howard University, under the auspices of the Center for Energy Systems and Controls runs the Energy Expert Systems Institute (EESI) summer outreach program for high school/pre-college minority students. The main objectives are to introduce precollege minority students to research in the power industry using modern state-of-the-art technology such as Expert Systems, Fuzzy Logic and Artificial Neural Networks; to involve minority students in space power management, systems and failure diagnosis; to generate interest in career options in electrical engineering; and to experience problem-solving in a teamwork environment consisting of faculty, senior research associates and graduate students. For five weeks the students are exposed not only to the exciting experience of college life, but also to the inspiring field of engineering, especially electrical engineering. The program consists of lectures in the fundamentals of engineering, mathematics, communication skills and computer skills. The projects are divided into mini and major. Topics for the 1995 mini projects were Expert Systems for the Electric Bus and Breast Cancer Detection. Topics on the major projects include Hybrid Electric Vehicle, Solar Dynamics and Distribution Automation. On the final day, designated as 'EESI Day' the students did oral presentations of their projects and prizes were awarded to the best group. The program began in the summer of 1993. The reaction from the students has been very positive. The program also arranges field trips to special places of interest such as the NASA Goddard Space Center.

A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

Directory of Open Access Journals (Sweden)

Mohammad Hossein Fazel Zarandi

2012-01-01

Full Text Available A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.

An expert system in medical diagnosis

International Nuclear Information System (INIS)

Raboanary, R.; Raoelina Andriambololona; Soffer, J.; Raboanary, J.

2001-01-01

Health problem is still a crucial one in some countries. It is so important that it becomes a major handicap in economic and social development. In order to solve this problem, we have conceived an expert system that we called MITSABO, which means TO HEAL, to help the physicians to diagnose tropical diseases. It is clear that by extending the data base and the knowledge base, we can extend the application of the software to more general areas. In our expert system, we used the concept of 'self organization' of neural network based on the determination of the eigenvalues and the eigenvectors associated to the correlation matrix XX t . The projection of the data on the two first eigenvectors gives a classification of the diseases which is used to get a first approach in the diagnosis of the patient. This diagnosis is improved by using an expert system which is built from the knowledge base.

A literature review of expert problem solving using analogy

OpenAIRE

Mair, C; Martincova, M; Shepperd, MJ

2009-01-01

We consider software project cost estimation from a problem solving perspective. Taking a cognitive psychological approach, we argue that the algorithmic basis for CBR tools is not representative of human problem solving and this mismatch could account for inconsistent results. We describe the fundamentals of problem solving, focusing on experts solving ill-defined problems. This is supplemented by a systematic literature review of empirical studies of expert problem solving of non-trivial pr...

Development research of expert system for diagnosis of landslide

Energy Technology Data Exchange (ETDEWEB)

Yoshikawa, Toru; Soeda, Yoshio; Nakamura, Hirohisa [Kansai Electric Power Co. Inc., Osaka (Japan)

1989-03-25

Measures against landslides are based upon a judgment to be made by combined application of professional knowledge of the scientific fields such as topography and geology, etc. and Kansai Electric Power Co. tried to construct a technical support system for preliminary diagnosis of landslide with which field engineers can easily utilize expert knowledge and to which artificial intelligence (AI) is applied. This system is to diagnose preliminarily the existence of such a landslide-prone area which is likely to hamper the project concerned at its early stage and after examination, those considered to be appropriate for the purpose were selected from among the artificial intelligence tools already developed. And as the knowledge base, knowledge was arranged in order with regard to the common features of landslide-prone areas, classification of landslide spots, landslide-prone topography and confusing topography, and procedures as well as remarks to be taken in reading the landslide topography, and was transformed as rule in order to input as the knowledge base into a computer. The system used the aerial photography interpretation theory as the base for its expert knowledge base and the materials necessary therefore were confined to easily obtainable aerial photographs and topographical maps. The system was prepared with a general purpose personal computer. 4 figs., 1 tab.

Collaboration Networks in Applied Conservation Projects across Europe.

Science.gov (United States)

Nita, Andreea; Rozylowicz, Laurentiu; Manolache, Steluta; Ciocănea, Cristiana Maria; Miu, Iulia Viorica; Popescu, Viorel Dan

2016-01-01

The main funding instrument for implementing EU policies on nature conservation and supporting environmental and climate action is the LIFE Nature programme, established by the European Commission in 1992. LIFE Nature projects (>1400 awarded) are applied conservation projects in which partnerships between institutions are critical for successful conservation outcomes, yet little is known about the structure of collaborative networks within and between EU countries. The aim of our study is to understand the nature of collaboration in LIFE Nature projects using a novel application of social network theory at two levels: (1) collaboration between countries, and (2) collaboration within countries using six case studies: Western Europe (United Kingdom and Netherlands), Eastern Europe (Romania and Latvia) and Southern Europe (Greece and Portugal). Using data on 1261 projects financed between 1996 and 2013, we found that Italy was the most successful country not only in terms of awarded number of projects, but also in terms of overall influence being by far the most influent country in the European LIFE Nature network, having the highest eigenvector (0.989) and degree centrality (0.177). Another key player in the network is Netherlands, which ensures a fast communication flow with other network members (closeness-0.318) by staying connected with the most active countries. Although Western European countries have higher centrality scores than most of the Eastern European countries, our results showed that overall there is a lower tendency to create partnerships between different organization categories. Also, the comparisons of the six case studies indicates significant differences in regards to the pattern of creating partnerships, providing valuable information on collaboration on EU nature conservation. This study represents a starting point in predicting the formation of future partnerships within LIFE Nature programme, suggesting ways to improve transnational

Guidelines for the verification and validation of expert system software and conventional software. Volume 7, User's manual: Final report

International Nuclear Information System (INIS)

Miller, L.A.; Hayes, J.E.; Mirsky, S.M.

1995-05-01

Reliable software is required for nuclear power industry applications. Verification and validation techniques applied during the software development process can help eliminate errors that could inhibit the proper operation of digital systems and cause availability and safety problems. Most of the techniques described in this report are valid for conventional software systems as well as for expert systems. The project resulted in a set of 16 V ampersand V guideline packages and 11 sets of procedures based on the class, development phase, and system component being tested. These guideline packages and procedures help a utility define the level of V ampersand V, which involves evaluating the complexity and type of software component along with the consequences of failure. In all, the project identified 153 V ampersand V techniques for conventional software systems and demonstrated their application to all aspects of expert systems except for the knowledge base, which requires specially developed tools. Each of these conventional techniques covers anywhere from 2-52 total types of conventional software defects, and each defect is covered by 21-50 V ampersand V techniques. The project also identified automated tools to Support V ampersand V activities

Strategic decision analysis applied to borehole seismology

International Nuclear Information System (INIS)

Menke, M.M.; Paulsson, B.N.P.

1994-01-01

Strategic Decision Analysis (SDA) is the evolving body of knowledge on how to achieve high quality in the decision that shapes an organization's future. SDA comprises philosophy, process concepts, methodology, and tools for making good decisions. It specifically incorporates many concepts and tools from economic evaluation and risk analysis. Chevron Petroleum Technology Company (CPTC) has applied SDA to evaluate and prioritize a number of its most important and most uncertain R and D projects, including borehole seismology. Before SDA, there were significant issues and concerns about the value to CPTC of continuing to work on borehole seismology. The SDA process created a cross-functional team of experts to structure and evaluate this project. A credible economic model was developed, discrete risks and continuous uncertainties were assessed, and an extensive sensitivity analysis was performed. The results, even applied to a very restricted drilling program for a few years, were good enough to demonstrate the value of continuing the project. This paper explains the SDA philosophy concepts, and process and demonstrates the methodology and tools using the borehole seismology project example. SDA is useful in the upstream industry not just in the R and D/technology decisions, but also in major exploration and production decisions. Since a major challenge for upstream companies today is to create and realize value, the SDA approach should have a very broad applicability

Planning Complex Projects Automatically

Science.gov (United States)

Henke, Andrea L.; Stottler, Richard H.; Maher, Timothy P.

1995-01-01

Automated Manifest Planner (AMP) computer program applies combination of artificial-intelligence techniques to assist both expert and novice planners, reducing planning time by orders of magnitude. Gives planners flexibility to modify plans and constraints easily, without need for programming expertise. Developed specifically for planning space shuttle missions 5 to 10 years ahead, with modifications, applicable in general to planning other complex projects requiring scheduling of activities depending on other activities and/or timely allocation of resources. Adaptable to variety of complex scheduling problems in manufacturing, transportation, business, architecture, and construction.

Response trees and expert systems for nuclear reactor operations

International Nuclear Information System (INIS)

Nelson, W.R.

1984-02-01

The United States Nuclear Regulatory Commission is sponsoring a project performed by EG and G Idaho, Inc., at the Idaho National Engineering Laboratory (INEL) to evaluate different display concepts for use in nuclear reactor control rooms. Included in this project is the evaluation of the response tree computer based decision aid and its associated displays. This report serves as an overview of the response tree methodology and how it has been implemented as a computer based decision aid utilizing color graphic displays. A qualitative assessment of the applicability of the response tree aid in the reactor control room is also made. Experience gained in evaluating the response tree aid is generalized to address a larger category of computer aids, those known as knowledge based expert systems. General characteristics of expert systems are discussed, as well as examples of their application in other domains. A survey of ongoing work on expert systems in the nuclear industry is presented, and an assessment of their potential applicability is made. Finally, recommendations for the design and evaluation of computer based decision aids are presented

The Gtz system management applied to photovoltaic rural electrification projects

Energy Technology Data Exchange (ETDEWEB)

Rosenthal, Pablo [Brendel Proper, (Bolivia)]|[GTZ-Cooperacion Tecnica de la Republica de Alemania, (Germany)

1995-12-31

The GTZ (Federal Republic of Germany Technical Cooperation Society) has developed a general project design system, particularly for Renewable Energy, that systematically covers all aspects necessary in their planning and implementation, so that their effects are sustainable in the long run, and cover as well all the requirements of a determined diffusion. This is what they have called System Management. This methodology of project implementation can be described as capable of being applied to any action area, and has already proved and validated its efficiency in projects where it has been applied. The main reason for its use is based on the correction of previous experiences with projects that had a tendency towards one area of action alone, in a much too exclusive way -mainly the technological- neglecting important aspects in the sustainability of technologies being introduced. The experience of PROPER - Bolivia (Programa para la difusion de energias renovables), who has been applying this system to its projects, is being used as a methodological basis. PROPER started in 1991, and is programed to last until September or 1996. Among the main components being described in the system`s methodology, in the particular case of PHOTOVOLTAIC RURAL ELECTRIFICATION PROJECTS, stand out the areas of Technological Transference; Training; Diffusion; Financing; Energy Policy; Planning, Monitoring, and Evaluation; and Support and Follow-up to the supply and demand. [Espanol] La GTZ (Sociedad de Cooperacion Tecnica de la Republica Federal de Alemania) ha desarrollado un proyecto de sistema de diseno general, particularmente para Energia Renovable, que cubre sistematicamente todos los aspectos necesarios en su planeacion y puesta en practica , de tal manera que sus efectos son a la larga sustentables y cubren, asimismo todos los requerimientos de una difusion determinada. Esto es lo que han llamado {sup A}dministracion del Sistema{sup .} Esta metodologia de puesta en practica

The Gtz system management applied to photovoltaic rural electrification projects

Energy Technology Data Exchange (ETDEWEB)

Rosenthal, Pablo [Brendel Proper, (Bolivia); [GTZ-Cooperacion Tecnica de la Republica de Alemania, (Germany)

1996-12-31

The GTZ (Federal Republic of Germany Technical Cooperation Society) has developed a general project design system, particularly for Renewable Energy, that systematically covers all aspects necessary in their planning and implementation, so that their effects are sustainable in the long run, and cover as well all the requirements of a determined diffusion. This is what they have called System Management. This methodology of project implementation can be described as capable of being applied to any action area, and has already proved and validated its efficiency in projects where it has been applied. The main reason for its use is based on the correction of previous experiences with projects that had a tendency towards one area of action alone, in a much too exclusive way -mainly the technological- neglecting important aspects in the sustainability of technologies being introduced. The experience of PROPER - Bolivia (Programa para la difusion de energias renovables), who has been applying this system to its projects, is being used as a methodological basis. PROPER started in 1991, and is programed to last until September or 1996. Among the main components being described in the system`s methodology, in the particular case of PHOTOVOLTAIC RURAL ELECTRIFICATION PROJECTS, stand out the areas of Technological Transference; Training; Diffusion; Financing; Energy Policy; Planning, Monitoring, and Evaluation; and Support and Follow-up to the supply and demand. [Espanol] La GTZ (Sociedad de Cooperacion Tecnica de la Republica Federal de Alemania) ha desarrollado un proyecto de sistema de diseno general, particularmente para Energia Renovable, que cubre sistematicamente todos los aspectos necesarios en su planeacion y puesta en practica , de tal manera que sus efectos son a la larga sustentables y cubren, asimismo todos los requerimientos de una difusion determinada. Esto es lo que han llamado {sup A}dministracion del Sistema{sup .} Esta metodologia de puesta en practica

A cost benefit review of applying quality assurance principles to project management of environmental cleanup programs

International Nuclear Information System (INIS)

Oakes, T.W.

1989-01-01

This paper shows the cost/benefit mechanism used for applying the theory and practical aspects of QA principles as a management tool to project management of environmental cleanup projects. This includes reviewing and guidelines and requirements to determine the practical aspects of applying these requirements to environmental project management. Thus, there is a feedback loop for comparison of the cost/benefits of application of each stage of the project. The project's major stages include planning, environmental sampling, analysis of data samples, data/information management to include reporting, and follow- up, post-cleanup sampling with continued data management. A comparison is also made of the theory with the practical aspects of each of these stages

Experimental applications of an expert system to operator problem solving in process control

International Nuclear Information System (INIS)

Nelson, W.R.; Jenkins, J.P.

1985-01-01

The United States Nuclear Regulatory Commission (USNRC) has sponsored a program to assess the effectiveness of expert systems for nuclear reactor operators. The project has included two human factors experimental evaluations of the Response Tree expert system, a prototype expert system for helping nuclear reactor operators respond to emergency conditions. This paper discusses the Response Tree expert system, the experiments which have been performed to test its effectiveness, and the results of the experiments. Reference is made to the accident at TMI. 12 refs

THE PROJECT OF THE EXPERT SYSTEM TO SUPPORTING OF SELECTION OF PARTS AND ASSEMBLIES OF MACHINES

Directory of Open Access Journals (Sweden)

Sebastian RZYDZIK

2014-06-01

Full Text Available This paper the design of the expert system that supports mechanical engineer in the process of selecting the parts and assemblies was presented. In the description of the proposed expert system, was made reference to the general form of such systems, that consist of such components as: user interface, inference engine, knowledge base and database. It also, scenario that describes the steps of the use of the proposed expert system was presented. Finally, an example of the use the expert system during the selection of the components of the drive system was shown.

NESSUS/EXPERT - An expert system for probabilistic structural analysis methods

Science.gov (United States)

Millwater, H.; Palmer, K.; Fink, P.

1988-01-01

An expert system (NESSUS/EXPERT) is presented which provides assistance in using probabilistic structural analysis methods. NESSUS/EXPERT is an interactive menu-driven expert system that provides information to assist in the use of the probabilistic finite element code NESSUS/FEM and the fast probability integrator. NESSUS/EXPERT was developed with a combination of FORTRAN and CLIPS, a C language expert system tool, to exploit the strengths of each language.

Expert-systems and computer-based industrial systems

International Nuclear Information System (INIS)

Terrien, J.F.

1987-01-01

Framatome makes wide use of expert systems, computer-assisted engineering, production management and personnel training. It has set up separate business units and subsidiaries and also participates in other companies which have the relevant expertise. Five examples of the products and services available in these are discussed. These are in the field of applied artificial intelligence and expert-systems, in integrated computer-aid design and engineering, structural analysis, computer-related products and services and document management systems. The structure of the companies involved and the work they are doing is discussed. (UK)

[Development of expert diagnostic system for common respiratory diseases].

Science.gov (United States)

Xu, Wei-hua; Chen, You-ling; Yan, Zheng

2014-03-01

To develop an internet-based expert diagnostic system for common respiratory diseases. SaaS system was used to build architecture; pattern of forward reasoning was applied for inference engine design; ASP.NET with C# from the tool pack of Microsoft Visual Studio 2005 was used for website-interview medical expert system.The database of the system was constructed with Microsoft SQL Server 2005. The developed expert system contained large data memory and high efficient function of data interview and data analysis for diagnosis of various diseases.The users were able to perform this system to obtain diagnosis for common respiratory diseases via internet. The developed expert system may be used for internet-based diagnosis of various respiratory diseases,particularly in telemedicine setting.

A prototype nuclear emergency response decision making expert system

International Nuclear Information System (INIS)

Chang, C.; Shih, C.; Hong, M.; Yu, W.; Su, M.; Wang, S.

1990-01-01

A prototype of emergency response expert system developed for nuclear power plants, has been fulfilled by Institute of Nuclear Energy Research. Key elements that have been implemented for emergency response include radioactive material dispersion assessment, dynamic transportation evacuation assessment, and meteorological parametric forecasting. A network system consists of five 80386 Personal Computers (PCs) has been installed to perform the system functions above. A further project is still continuing to achieve a more complicated and fanciful computer aid integral emergency response expert system

Range of expert system for control, modeling and safely operation in nuclear energy

International Nuclear Information System (INIS)

Gorlin, A.; Semenov, S.

1990-01-01

The paper describes expert system projects which had been developed formerly and are under the development now in NVIIAES Institute, Moscow. One of the accomplished systems (PEX) is a ES-shell of classical type able to manipulate fuzzy expert assessments. The system is used as a shell for ES-advisor for MCP failures diagnostics and in some applications of the same sort. Another realized system (EDES) is on-line express-diagnostical ES for NPP unit emergency regimes identification. EDES is implemented now as a component of NPP system of control and operation conditions diagnostics. Both systems are realized on conventional programming languages Pascal and C, respectively. The presentation describes current developments in ES as well, including classification system for material researches, the project of training ES for second circuit diagnostics based on event tree generating and expert planner for neutron-physical three-dimensional reactor calculations. All this projects are implemented on different versions of PROLOG programming language

Developing a physics expert identity in a biophysics research group

Science.gov (United States)

Rodriguez, Idaykis; Goertzen, Renee Michelle; Brewe, Eric; Kramer, Laird H.

2015-06-01

We investigate the development of expert identities through the use of the sociocultural perspective of learning as participating in a community of practice. An ethnographic case study of biophysics graduate students focuses on the experiences the students have in their research group meetings. The analysis illustrates how the communities of practice-based identity constructs of competencies characterize student expert membership. A microanalysis of speech, sound, tones, and gestures in video data characterize students' social competencies in the physics community of practice. Results provide evidence that students at different stages of their individual projects have opportunities to develop social competencies such as mutual engagement, negotiability of the repertoire, and accountability to the enterprises as they interact with group members. The biophysics research group purposefully designed a learning trajectory including conducting research and writing it for publication in the larger community of practice as a pathway to expertise. The students of the research group learn to become socially competent as specific experts of their project topic and methodology, ensuring acceptance, agency, and membership in their community of practice. This work expands research on physics expertise beyond the cognitive realm and has implications for how to design graduate learning experiences to promote expert identity development.

Expert systems

International Nuclear Information System (INIS)

Haldy, P.A.

1988-01-01

The definitions of the terms 'artificial intelligence' and 'expert systems', the methodology, areas of employment and limits of expert systems are discussed. The operation of an expert system is described, especially the presentation and organization of knowledge as well as interference and control. Methods and tools for expert system development are presented and their application in nuclear energy are briefly addressed. 7 figs., 2 tabs., 6 refs

A Model of How Different Biology Experts Explain Molecular and Cellular Mechanisms

Science.gov (United States)

Trujillo, Caleb M.; Anderson, Trevor R.; Pelaez, Nancy J.

2015-01-01

Constructing explanations is an essential skill for all science learners. The goal of this project was to model the key components of expert explanation of molecular and cellular mechanisms. As such, we asked: What is an appropriate model of the components of explanation used by biology experts to explain molecular and cellular mechanisms? Do…

Feed type based expert systems in mineral processing plants

International Nuclear Information System (INIS)

Jamsa-Jounela, S.-L.; Laine, S.; Laurila, H.

1999-01-01

Artificial Intelligence includes excellent tools for the control and supervision of industrial processes. Several thousand industrial applications have been reported worldwide. Recently, the designers of the AI systems have begun to hybridize the intelligent techniques, expert systems, fuzzy logic and neural networks, to enhance the capability of the AI systems. Expert systems have proved to be ideal candidates especially for the control of mineral processes. As successful case projects, expert system based on on-line classification of the feed type is described in this paper. The essential feature of this expert system is the classification of different feed types and their distinct control strategies at the plant. In addition to the classification, the expert system has a database containing information about how to handle the determined feed type. This self-learning database scans historical process data to suggest the best treatment for the ore type under processing. The system has been tested in two concentrators, the Outokumpu Finnmines Oy, Hitura mine and Outokumpu Chrome Oy, Kemi mine. (author)

RISK REDUCTION WITH A FUZZY EXPERT EXPLORATION TOOL

Energy Technology Data Exchange (ETDEWEB)

Robert S. Balch; Ron Broadhead

2005-03-01

Incomplete or sparse data such as geologic or formation characteristics introduce a high level of risk for oil exploration and development projects. ''Expert'' systems developed and used in several disciplines and industries have demonstrated beneficial results when working with sparse data. State-of-the-art expert exploration tools, relying on a database, and computer maps generated by neural networks and user inputs, have been developed through the use of ''fuzzy'' logic, a mathematical treatment of imprecise or non-explicit parameters and values. Oil prospecting risk has been reduced with the use of these properly verified and validated ''Fuzzy Expert Exploration (FEE) Tools.'' Through the course of this project, FEE Tools and supporting software were developed for two producing formations in southeast New Mexico. Tools of this type can be beneficial in many regions of the U.S. by enabling risk reduction in oil and gas prospecting as well as decreased prospecting and development costs. In today's oil industry environment, many smaller exploration companies lack the resources of a pool of expert exploration personnel. Downsizing, volatile oil prices, and scarcity of domestic exploration funds have also affected larger companies, and will, with time, affect the end users of oil industry products in the U.S. as reserves are depleted. The FEE Tools benefit a diverse group in the U.S., allowing a more efficient use of scarce funds, and potentially reducing dependence on foreign oil and providing lower product prices for consumers.

Expert evaluation of innovation projects of mining enterprises on the basis of methods of system analysis and fuzzy logics

Directory of Open Access Journals (Sweden)

Pimonov Alexander

2017-01-01

Full Text Available This paper presents the multipurpose approach to evaluation of research and innovation projects based on the method of analysis of hierarchies and fuzzy logics for the mining industry. The approach, implemented as part of a decision support system, can reduce the degree of subjectivity during examinations by taking into account both quantitative and qualitative characteristics of the compared innovative alternatives; it does not depend on specific conditions of examination and allows engagement of experts of various fields of knowledge. The system includes the mechanism of coordination of several experts’ views. Using of fuzzy logics allows evaluating the qualitative characteristics of innovations in the form of formalized logical conclusions.

Generating human reliability estimates using expert judgment. Volume 1. Main report

International Nuclear Information System (INIS)

Comer, M.K.; Seaver, D.A.; Stillwell, W.G.; Gaddy, C.D.

1984-11-01

The US Nuclear Regulatory Commission is conducting a research program to determine the practicality, acceptability, and usefulness of several different methods for obtaining human reliability data and estimates that can be used in nuclear power plant probabilistic risk assessment (PRA). One method, investigated as part of this overall research program, uses expert judgment to generate human error probability (HEP) estimates and associated uncertainty bounds. The project described in this document evaluated two techniques for using expert judgment: paired comparisons and direct numerical estimation. Volume 1 of this report provides a brief overview of the background of the project, the procedure for using psychological scaling techniques to generate HEP estimates and conclusions from evaluation of the techniques. Results of the evaluation indicate that techniques using expert judgment should be given strong consideration for use in developing HEP estimates. In addition, HEP estimates for 35 tasks related to boiling water reactors (BMRs) were obtained as part of the evaluation. These HEP estimates are also included in the report

Generating human reliability estimates using expert judgment. Volume 2. Appendices

International Nuclear Information System (INIS)

Comer, M.K.; Seaver, D.A.; Stillwell, W.G.; Gaddy, C.D.

1984-11-01

The US Nuclear Regulatory Commission is conducting a research program to determine the practicality, acceptability, and usefulness of several different methods for obtaining human reliability data and estimates that can be used in nuclear power plant probabilistic risk assessments (PRA). One method, investigated as part of this overall research program, uses expert judgment to generate human error probability (HEP) estimates and associated uncertainty bounds. The project described in this document evaluated two techniques for using expert judgment: paired comparisons and direct numerical estimation. Volume 2 provides detailed procedures for using the techniques, detailed descriptions of the analyses performed to evaluate the techniques, and HEP estimates generated as part of this project. The results of the evaluation indicate that techniques using expert judgment should be given strong consideration for use in developing HEP estimates. Judgments were shown to be consistent and to provide HEP estimates with a good degree of convergent validity. Of the two techniques tested, direct numerical estimation appears to be preferable in terms of ease of application and quality of results

Expert Systems

OpenAIRE

Lucas, P.J.F.

2005-01-01

Expert systems mimic the problem-solving activity of human experts in specialized domains by capturing and representing expert knowledge. Expert systems include a knowledge base, an inference engine that derives conclusions from the knowledge, and a user interface. Knowledge may be stored as if-then rules, orusing other formalisms such as frames and predicate logic. Uncertain knowledge may be represented using certainty factors, Bayesian networks, Dempster-Shafer belief functions, or fuzzy se...

Applying the TOC Project Management to Operation and Maintenance Scheduling of a Research Vessel

Science.gov (United States)

Manti, M. Firdausi; Fujimoto, Hideo; Chen, Lian-Yi

Marine research vessels and their systems are major assets in the marine resources development. Since the running costs for the ship are very high, it is necessary to reduce the total cost by an efficient scheduling for operation and maintenance. To reduce project period and make it efficient, we applied TOC project management method that is a project management approach developed by Dr. Eli Goldratt. It challenges traditional approaches to project management. It will become the most important improvement in the project management since the development of PERT and critical path methodologies. As a case study, we presented the marine geology research project for the purpose of operations in addition to repair on the repairing dock projects for maintenance of vessels.

Expert Systems in Government Administration

OpenAIRE

Weintraub, Joseph

1989-01-01

Artificial Intelligence is solving more and more real world problems, but penetration into the complexities of government administration has been minimal. The author suggests that combining expert system technology with conventional procedural computer systems can lead to substantial efficiencies. Business rules can be removed from business-oriented computer systems and stored in a separate but integrated knowledge base, where maintenance will be centralized. Fourteen specific practical appli...

The Virtual UNICOS Process Expert: integration of Artificial Intelligence tools in Control Systems

CERN Multimedia

Vilches Calvo, I; Barillere, R

2009-01-01

UNICOS is a CERN framework to produce control applications. It provides operators with ways to interact with all process items from the most simple (e.g. I/O channels) to the most abstract objects (e.g. a part of the plant). This possibility of fine grain operation is particularly useful to recover from abnormal situations if operators have the required knowledge. The Virtual UNICOS Process Expert project aims at providing operators with means to handle difficult operation cases for which the intervention of process experts is usually requested. The main idea of project is to use the openness of the UNICOS-based applications to integrate tools (e.g. Artificial Intelligence tools) which will act as Process Experts to analyze complex situations, to propose and to execute smooth recovery procedures.

Roma Identity as an Expert-Political Construction

Directory of Open Access Journals (Sweden)

Mihai Surdu

2015-09-01

Full Text Available The creation of an EU Framework for national Roma integration strategies (2011 marks a significant step in the politicisation of Roma identity by ensuring a further increase in the number of initiatives, projects and programmes explicitly targeting Roma. The Framework itself is part of a process that began with postcommunist transition and which has produced historically unprecedented levels of Roma political activism along with a proliferation of national and transnational policy initiatives focussed on Roma identity. In seeking to explain this contemporary political phenomenon, the article argues that Roma is an identity constructed at the intersection of political and expert knowledge by various actors, such as policymakers, Romani activists, international organizations and scholars. This political-expert identity is applied to groups that are not bounded by a common language, religion, cultural practice, geographic location, occupation, physical appearance or lifestyle. The article explores how this collation of disparate populations into a notional political community builds upon a centuries-old Gypsy legacy. It scrutinizes five strands of identification practices that have contributed to the longue durée development of today’s Roma as an epistemic object and policy target: police profiling of particular communities; administrative surveys; Romani activism; Roma targeted policies; quantitative scientific research. The article argues that the contemporary economic and political conditions amidst which the politicisation of Roma identity is occurring explain how the ideological and institutional construction of the ethnic frame tends toward the reinforcement of the exclusion of those categorised as Roma, thus increasing the perceived need for Roma policy initiatives. A self-sustaining cycle has been created where Roma knowledge identifies Roma problems requiring a policy response, which produces more Roma knowledge, more needs and more

A theory of expert leadership (TEL) in psychiatry.

Science.gov (United States)

Goodall, Amanda H

2016-06-01

Leaders' technical competence - 'expert knowledge' - has been shown in many settings to be associated with better organizational performance. In universities, for example, there is longitudinal evidence that research-focused scholars make the best leaders; results from a hospital study show that doctors instead of professional managers are most closely associated with the best performing institutions. To explain these patterns, and raise hypotheses, a theory of expert leadership (TEL) has been developed that might explain these patterns. In this paper the framework for expert leadership is applied to psychiatry. The TEL proposes that psychiatric leaders, as opposed to non-expert managers, improve organizational performance through several channels. First, experts' knowledge influences organizational strategy. Second, having been 'one of them', a psychiatrist understands how to create the optimal work environment for psychiatric teams, through appropriate goal-setting, evaluation and support. These factors are positively associated with workers' wellbeing and performance. Third, exceptional psychiatrist-leaders are likely to set high standards for hiring. Fourth, leaders' credibility extends their influence among core workers, and also signals organizational priorities to stakeholders. Finally, a necessary prerequisite of TEL is that expert leaders have direct executive power inclusive of budgetary and strategic oversight. © The Royal Australian and New Zealand College of Psychiatrists 2015.

Expert - Non-expert differences in visual behaviour during alpine slalom skiing.

Science.gov (United States)

Decroix, Marjolein; Wazir, Mohd Rozilee Wazir Norjali; Zeuwts, Linus; Deconinck, Frederik F J A; Lenoir, Matthieu; Vansteenkiste, Pieter

2017-10-01

The aim of this study was to investigate visual behaviour of expert and non-expert ski athletes during an alpine slalom. Fourteen non-experts and five expert slalom skiers completed an alpine slalom course in an indoor ski slope while wearing a head-mounted eye tracking device. Experts completed the slalom clearly faster than non-experts, but no significant difference was found in timing and position of the turn initiation. Although both groups already looked at future obstacles approximately 0,5s before passing the upcoming pole, the higher speed of experts implied that they shifted gaze spatially earlier in the bend than non-experts. Furthermore, experts focussed more on the second next pole while non-expert slalom skiers looked more to the snow surface immediately in front of their body. No difference was found in the fixation frequency, average fixation duration, and quiet eye duration between both groups. These results suggest that experts focus on the timing of their actions while non-experts still need to pay attention to the execution of these actions. These results also might suggest that ski trainers should instruct non-experts and experts to focus on the next pole and, shift their gaze to the second next pole shortly before reaching it. Based on the current study it seems unadvisable to instruct slalom skiers to look several poles ahead during the actual slalom. However, future research should test if these results still hold on a real outdoor slope, including multiple vertical gates. Copyright © 2017 Elsevier B.V. All rights reserved.

An examination of expert systems activities within the nuclear industry

International Nuclear Information System (INIS)

Bernard, J.A.; Washio, Takashi.

1988-01-01

This paper provides an overview of a detailed evaluation that the authors recently completed on expert systems applications within the nuclear industry. That evaluation examined the motivation for utilizing expert systems, identified the areas to which they were being applied, and provided an assessment of their utility. Listed here are some of the salient findings of that report. (1) Utilities are developing their own artificial intelligence tools rather than using commercial products. (2) Few expert systems are being developed for the express purpose of capturing human expertise. (3) A number of successful expert systems have been developed to assist in plant design, management, and maintenance scheduling. (4) Interactive diagnostic systems are being developed for the analysis of physical processes that vary slowly. (5) Real-time diagnostic expert systems are currently at the cutting edge of the technology. (6) Operator adviser and emergency response expert systems constitute ∼25% of the total. (7) Research on the use of expert systems for reactor control is quite active. (8) Too few quantitative evaluations of the benefits of expert systems to reactor operators have been performed. The operator's need is for timely, factual information on plant status. Hence, the true challenge to expert systems is real-time diagnostics

Managing the water chemistry of a CANDU reactor with an expert system

International Nuclear Information System (INIS)

Lamirande, S.; Roberge, P.R.

1990-01-01

The aim of this project was to capture the expertise of Ontario Hydro in the water chemistry of the heat transport system (HTS) of the CANDU nuclear reactor and transform it into an Expert System prototype. The end product is an Expert System which can realistically diagnose situations and recommend proper courses of action based on the user's water chemistry analysis

What Is Applied Linguistics?

Science.gov (United States)

James, Carl

1993-01-01

Ostensive and expository definitions of applied linguistics are assessed. It is suggested that the key to a meaningful definition lies in the dual articulation of applied linguistics: it is an interface between linguistics and practicality. Its role as an "expert system" is suggested. (45 references) (Author/LB)

Expectations and drivers of future greenhouse gas emissions from Canada's oil sands: An expert elicitation

International Nuclear Information System (INIS)

McKellar, Jennifer M.; Sleep, Sylvia; Bergerson, Joule A.; MacLean, Heather L.

2017-01-01

The greenhouse gas (GHG) emissions intensity of oil sands operations has declined over time but has not offset absolute emissions growth due to rapidly increasing production. Policy making, decisions about research and development, and stakeholder discourse should be informed by an assessment of future emissions intensity trends, however informed projections are not easily generated. This study investigates expected trends in oil sands GHG emissions using expert elicitation. Thirteen experts participated in a survey, providing quantitative estimates of expected GHG emissions intensity changes and qualitative identifications of drivers. Experts generally agree that emissions intensity reductions are expected at commercially operating projects by 2033, with the greatest reductions expected through the use of technology in the in situ area of oil sands activity (40% mean reduction at multiple projects, averaged across experts). Incremental process changes are expected to contribute less to reducing GHG emissions intensity, however their potentially lower risk and cost may result in larger cumulative reductions. Both technology availability and more stringent GHG mitigation policies are required to realize these emissions intensity reductions. This paper demonstrates a method to increase rigour in emissions forecasting activities and the results can inform policy making, research and development and modelling and forecasting studies. - Highlights: • Expert elicitation used to investigate expected trends in oil sands GHG emissions. • Overall, emissions intensity reductions are expected at commercial projects by 2033. • Reductions are expected due to both technology changes and process improvements. • Technology availability and more stringent GHG policies are needed for reductions. • Method used increases rigour in emissions forecasting, and results inform policy.

Design of groundwater pollution expert system: forward chaining and interfacing

International Nuclear Information System (INIS)

Mongkon Ta-oun; Mohamed Daud; Mohd Zohadie Bardaie; Shamshuddin Jusop

2000-01-01

The groundwater pollution expert system (GWPES was developed by C Language Integrate Production System (CLEPS). The control techniques of this system consider some conclusion and then attempts to prove it by searching for supportive information from the database. The inference process goes in forward chaining of this system such as predicting groundwater pollution vulnerability, predicting the effect of nitrogen fertiliser, agricultural impact and project development on groundwater pollution potential. In GWPES, forward chaining system begins with a matching of inputs with the existing database of groundwater environment and activities impact of the project development. While, interaction between an expert system and user is conducted in simple English language. The interaction is highly interactive. A basis design with simple Graphic User Interface (GUI) to input data and by asking simple questions. (author)

Use of expert systems in nuclear safety

International Nuclear Information System (INIS)

1990-02-01

One dominant aspect of improvement in safe nuclear power plant operation is the very high speed in the development and introduction of computer technologies. This development commenced recently when advanced control technology was incorporated into the nuclear industry. This led to an increasing implementation of information displays, annunciator windows and other devices inside the control room, eventually overburdening the control room operator with detailed information. Expert systems are a further step in this direction being designed to apply large knowledge bases to solve practical problems. These ''intelligent'' systems have to incorporate enough knowledge to reach expert levels of importance and represent a very advanced man-machine interface. The aims of the Technical Committee were addressed by the three Working Groups and summarized in Sections 2, 3 and 4 of this report. Section 2 summarizes the results and discussions on the current capabilities of expert systems and identifies features for the future development and use of Expert Systems in Nuclear Power Plants. Section 3 provides an overview of the discussions and investigations into the current status of Expert Systems in NPPs. This section develops a method for assessing the overall benefit of different applications and recommends a broad strategy for priority developments of Expert Systems in NPPs. Section 4 assesses the overall use of PSA type studies in Expert Systems in NPPs and identifies specific features to be adopted in the design of these systems in future applications. The conclusions of the three Working Groups are presented in Section 5. The 15 papers presented at the meeting formed the Annex of this document. A separate abstract was prepared for each of these papers. Refs, figs, tabs and pictures

Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique

Energy Technology Data Exchange (ETDEWEB)

Flandoli, F. [Dip.to di Matematica Applicata, Universita di Pisa, Pisa (Italy); Giorgi, E. [Dip.to di Matematica Applicata, Universita di Pisa, Pisa (Italy); Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, via della Faggiola 32, 56126 Pisa (Italy); Aspinall, W.P. [Dept. of Earth Sciences, University of Bristol, and Aspinall and Associates, Tisbury (United Kingdom); Neri, A., E-mail: neri@pi.ingv.it [Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, via della Faggiola 32, 56126 Pisa (Italy)

2011-10-15

The problem of ranking and weighting experts' performances when quantitative judgments are being elicited for decision support is considered. A new scoring model, the Expected Relative Frequency model, is presented, based on the closeness between central values provided by the expert and known values used for calibration. Using responses from experts in five different elicitation datasets, a cross-validation technique is used to compare this new approach with the Cooke Classical Model, the Equal Weights model, and individual experts. The analysis is performed using alternative reward schemes designed to capture proficiency either in quantifying uncertainty, or in estimating true central values. Results show that although there is only a limited probability that one approach is consistently better than another, the Cooke Classical Model is generally the most suitable for assessing uncertainties, whereas the new ERF model should be preferred if the goal is central value estimation accuracy. - Highlights: > A new expert elicitation model, named Expected Relative Frequency (ERF), is presented. > A cross-validation approach to evaluate the performance of different elicitation models is applied. > The new ERF model shows the best performance with respect to the point-wise estimates.

Expert system verification and validation for nuclear power industry applications

International Nuclear Information System (INIS)

Naser, J.A.

1990-01-01

The potential for the use of expert systems in the nuclear power industry is widely recognized. The benefits of such systems include consistency of reasoning during off-normal situations when humans are under great stress, the reduction of times required to perform certain functions, the prevention of equipment failures through predictive diagnostics, and the retention of human expertise in performing specialized functions. The increased use of expert systems brings with it concerns about their reliability. Difficulties arising from software problems can affect plant safety, reliability, and availability. A joint project between EPRI and the US Nuclear Regulatory Commission is being initiated to develop a methodology for verification and validation of expert systems for nuclear power applications. This methodology will be tested on existing and developing expert systems. This effort will explore the applicability of conventional verification and validation methodologies to expert systems. The major area of concern will be certification of the knowledge base. This is expected to require new types of verification and validation techniques. A methodology for developing validation scenarios will also be studied

Management of uncertainties on parameters elicited by experts - Applications to sea-level rise and to CO2 storage operations risk assessment

Science.gov (United States)

Manceau, Jean-Charles; Loschetter, Annick; Rohmer, Jérémy; Le Cozannet, Gonéri; Lary Louis, de; Guénan Thomas, Le; Ken, Hnottavange-Telleen

2017-04-01

In a context of high degree of uncertainty, when very few data are available, experts are commonly requested to provide their opinions on input parameters of risk assessment models. Not only might each expert express a certain degree of uncertainty on his/her own statements, but the set of information collected from the pool of experts introduces an additional level of uncertainty. It is indeed very unlikely that all experts agree on exactly the same data, especially regarding parameters needed for natural risk assessments. In some cases, their opinions may differ only slightly (e.g. the most plausible value for a parameter is similar for different experts, and they only disagree on the level of uncertainties that taint the said value) while on other cases they may express incompatible opinions for a same parameter. Dealing with these different kinds of uncertainties remains a challenge for assessing geological hazards or/and risks. Extra-probabilistic approaches (such as the Dempster-Shafer theory or the possibility theory) have shown to offer promising solutions for representing parameters on which the knowledge is limited. It is the case for instance when the available information prevents an expert from identifying a unique probability law to picture the total uncertainty. Moreover, such approaches are known to be particularly flexible when it comes to aggregating several and potentially conflicting opinions. We therefore propose to discuss the opportunity of applying these new theories for managing the uncertainties on parameters elicited by experts, by a comparison with the application of more classical probability approaches. The discussion is based on two different examples. The first example deals with the estimation of the injected CO2 plume extent in a reservoir in the context of CO2 geological storage. This estimation requires information on the effective porosity of the reservoir, which has been estimated by 14 different experts. The Dempster

The technical qualified expert on radiation protection in Spain

International Nuclear Information System (INIS)

Marco Arboli, M.; Rodriguez Suarez, M.

2002-01-01

Education and training is considered an important tool for promoting safety culture and improving the level of competence of workers. In the different disciplines involved in Radiation Protection (PR), training programmes are being revised to ensure effective protection of individuals. In the European Union framework, the new normative and its adaptation in the Member States, as well as the past actions in each country, make the community to conclude that harmonization of educational programmes and European recognition of the qualification must be reached. An important point of these actions is the definition of the European Qualified Expert. Article 38 of the EURATOM Basic Safety Standards imposes requirements on training and education of the qualified experts and their exchange within the European Union. Since then, there has been many initiatives to seek to harmonization of the qualified expert requirements. In the Spanish education system, there has been a standard training and competent authority recognition of the high level qualified experts on radiation protection since 1986, whose programme is continuously being updating and improving. Taking into account the European actions to define the qualified expert training requirements, it has been designed an educational course for the Technical Qualified Expert on Radiation Protection. This pilot course has being carried out during May, 2002. The results of this project is shown in this paper. (Author)

Evaluation of the 'Alternative Commissioning of Experts Pilot'\\ud \\ud Pilot’

OpenAIRE

Tucker, Jason; Moorhead, Richard Lewis; Doughty, Julie

2011-01-01

This project evaluated a pilot engaging six multi-disciplinary teams commissioned by the Legal Services Commission to provide expert witness services in proceedings under section 31 Children Act 1989.\\ud Pilot teams did not attract large numbers of cases, with two teams undertaking no cases under the pilot. Lack of awareness of the pilot, the duration of the pilot and concerns (particularly amongst lawyers) about the implications of team-based expert witness services all inhibited take-up. Ju...

Expert System

DEFF Research Database (Denmark)

Hildebrandt, Thomas Troels; Cattani, Gian Luca

2016-01-01

An expert system is a computer system for inferring knowledge from a knowledge base, typically by using a set of inference rules. When the concept of expert systems was introduced at Stanford University in the early 1970s, the knowledge base was an unstructured set of facts. Today the knowledge b...... for the application of expert systems, but also raises issues regarding privacy and legal liability....

Model-based expert systems for linac computer controls

International Nuclear Information System (INIS)

Lee, M.J.

1988-09-01

The use of machine modeling and beam simulation programs for the control of accelerator operation has become standard practice. The success of a model-based control operation depends on how the parameter to be controlled is measured, how the measured data is analyzed, how the result of the analysis is interpreted, and how a solution is implemented. There is considerable interest in applying expert systems technology that can automate all of these processes. The design of an expert system to control the beam trajectory in linear accelerators will be discussed as an illustration of this approach. 4 figs., 1 tab

IDEA system - a new computer-based expert system for incorporation monitoring

International Nuclear Information System (INIS)

Doerfel, H.

2007-01-01

Recently, at the Karlsruhe Research Centre, a computer-based expert system, Internal Dose Equivalent Assessment System (IDEA System), has been developed for assisting dosimetrists in applying the relevant recommendations and guidelines for internal dosimetry. The expert system gives guidance to the user with respect to: (a) planning of monitoring, (b) performing routine and special monitoring, and (c) evaluation of primary monitoring results. The evaluation is done according to the IDEA System guidelines (Doerfel, H. et al., General guidelines for the estimation of committed effective dose from incorporation monitoring data. Research Report FZKA 7243, Research Center Karlsruhe, Karlsruhe (2006). ISSN 0947-8260.) in a three-stage procedure according to the expected level of exposure. At the first level the evaluation is performed with default or site-specific parameter values, at the second level case-specific parameter values are applied and at the third level a special evaluation is performed with individual adjustment of model parameter values. With these well-defined procedures the expert system follows the aim, in which all recommendations and guidelines are applied properly and the results in terms of committed effective and organ doses are close to the best estimate. (author)

Applications of Expert Systems within the Scottish Electricity Supply Industry

International Nuclear Information System (INIS)

McWhirter, A.F.

1990-01-01

This paper describes the areas of application of Expert Systems within the South of Scotland Electricity Board (SSEB). The SSEB interest in Expert Systems was initiated by a fault in a conventional power station however the paper describes how the development associated with that work, has resulted in applications for the Nuclear Power Stations. The paper contrasts the cost benefits and project risks associated with the uses of probabilistic systems and concludes that the cost benefits of these are at present too low to justify their use in on-line applications

Virtual building environments (VBE) - Applying information modeling to buildings

Energy Technology Data Exchange (ETDEWEB)

Bazjanac, Vladimir

2004-06-21

A Virtual Building Environment (VBE) is a ''place'' where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

Priorities and Future Actions for an Effective Use of Phytotherapy in Livestock—Outputs from an Expert Workshop

Directory of Open Access Journals (Sweden)

Isabel Blanco-Penedo

2018-01-01

Full Text Available This study reflects on the recognised need for more joined-up, high-quality research on phytotherapy that addresses the current societal challenges in finding alternatives to the use of antibiotics. The study applied a multidisciplinary participatory approach in an expert workshop exercise within the FP7 EU IMPRO project. Prior to this study, a literature review was elaborated on research in the field of phytotherapy as applied to farm animals, cooperation between research bodies and initiatives to reduce the use of antibiotics by using phytotherapeutic remedies. The review was delivered to the participants of the workshop so as to receive feedback on it and enrich the discussion. Different expertise, background in research or veterinary practice, and varying positions regarding phytotherapy were the criteria in targeting participants. A structured workshop was subsequently organised, with questions to experts addressing scientific validation of phytotherapy, effective treatment under farm conditions and necessary developments for the future. Challenges identified by the experts were as follows: poor study designs, lack of reproducibility of studies, poor standardisation of products, cost–benefit concerns, lack of veterinarian training and poor data availability. To overcome obstacles, the need for improved study designs for clinical trials was given priority in order to prove the efficacy of remedies and to implement a monitoring system which enables the assessment of the effectiveness of treatments in farm practice. Reflections in this report are intended to be a resource for scientists, policy makers and end users for an effective use of phytotherapy at farm level.

What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance?

NARCIS (Netherlands)

C-L. Chang (Chia-Lin); M.J. McAleer (Michael)

2013-01-01

textabstractExperts possess knowledge and information that are not publicly available. The paper is concerned with forecasting academic journal quality and research impact using a survey of international experts from a national project on ranking academic finance journals in Taiwan. A comparison is

What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance

NARCIS (Netherlands)

C-L. Chang (Chia-Lin); M.J. McAleer (Michael)

2013-01-01

textabstractExperts possess knowledge and information that are not publicly available. The paper is concerned with forecasting academic journal quality and research impact using a survey of international experts from a national project on ranking academic finance journals in Taiwan. A comparison is

Incorporating fuzzy data and logical relations in the design of expert systems for nuclear reactors

International Nuclear Information System (INIS)

Guth, M.A.S.

1987-01-01

This paper applies the method of assigning probability in Dempster-Shafer Theory (DST) to the components of rule-based expert systems used in the control of nuclear reactors. Probabilities are assigned to premises, consequences, and rules themselves. This paper considers how uncertainty can propagate through a system of Boolean equations, such as fault trees or expert systems. The probability masses assigned to primary initiating events in the expert system can be derived from observing a nuclear reactor in operation or based on engineering knowledge of the reactor parts. Use of DST mass assignments offers greater flexibility to the construction of expert systems in two important respects. First, DST mass assignments have the advantage over classical probability methods of accommodating when necessary uncommitted probability assignments. Thus the DST probability framework can incorporate expert system inputs from imprecise or fuzzy data. Second, DST applied to the Boolean rules themselves leads to a probabilistic logic, where a given rule may be valid with probability less than unity: fuzzy logical rules

Decommissioning project management unit started its activities

International Nuclear Information System (INIS)

Medeliene, D.

2002-01-01

The Decommissioning Project Management Unit team comprises western experts as well as experts from INPP Decommissioning Service who all work as a single team. The DPMU will develop the Final Decommissioning Plan and a more detailed Decommissioning Project, which will describe how the plant will be removed from service and safely decommissioned

EXPERT SYSTEMS

OpenAIRE

Georgiana Marin; Mihai Catalin Andrei

2011-01-01

In recent decades IT and computer systems have evolved rapidly in economic informatics field. The goal is to create user friendly information systems that respond promptly and accurately to requests. Informatics systems evolved into decision assisted systems, and such systems are converted, based on gained experience, in expert systems for creative problem solving that an organization is facing. Expert systems are aimed at rebuilding human reasoning on the expertise obtained from experts, sto...

Design and implementation of real-time diagnostic expert system in nuclear power plant

International Nuclear Information System (INIS)

Zhang Yan; Zhou Zhiwei; Dong Xiuchen

2006-01-01

In order to decrease the probability of malfunctions in nuclear power plant, a real-time expert system to be applied to malfunction diagnosis was designed. Based on the expert system theory the system converts the expert knowledge for diagnosing failures into the rules stored in database, and it can display real-time information of the abnormal symptoms, perform real-time diagnosis of malfunctions and suggest the operation actions related to malfunctions, etc. The results indicate that several typical malfunctions in nuclear power plant are diagnosed automatically and the corresponding operation schedules are given out by present expert system. (authors)

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection

International Nuclear Information System (INIS)

Muhammad Subekti

2009-01-01

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection. The present research was done for verification of previous developed method on Loss of Coolant Accident (LOCA) detection and perform simulations for knowing the sensitivity of the PWR monitoring system that applied neuro-expert method. The previous research continuing on present research, has developed and has tested the neuro-expert method for several anomaly detections in Nuclear Power Plant (NPP) typed Pressurized Water Reactor (PWR). Neuro-expert can detect the LOCA anomaly with sensitivity of primary coolant leakage of 7 gallon/min and the conventional method could not detect the primary coolant leakage of 30 gallon/min. Neuro expert method detects significantly LOCA anomaly faster than conventional system in Surry-1 NPP as well so that the impact risk is reducible. (author)

Medical Physics expert and competence in radiation protection

International Nuclear Information System (INIS)

Vano, E.; Lamn, I. N.; Guerra, A. del; Van Kleffens, H. J.

2003-01-01

The Council Directive 97/43/EURATOM on health protection of individuals against the dangers of ionizing radiation in relation to medical exposure, defines the Medical Physical Expert as an expert in radiation physics or radiation technology applied to exposure, within the scope of the Directive, whose training and competence to act is recognized by the competent authorities; and who, as appropriate, acts or gives advice on patient dosimetry, on the development and use of complex techniques and equipment, on optimization, on quality assurance, including quality control, and on other matters relating to radiation protection, concerning exposure within the scope of this Directive. As a consequence, it might be implied that his competence in radiation protection should also cover the staff and the public. In fact, the training programmes of medical physics experts include all the aspects concerning these topics. Some confusion could arise in the medical area when the Qualified Expert defined in the Council Directive 96/29/Euratom laying down basic safety standards for the protection of the health of workers and the general public against the dangers arising from ionizing radiation is considered. The Qualified Expert is defined as a person having the knowledge and training needed to carry out physical, technical or radiochemical tests enabling doses to be assessed, and to give advice in order to ensure effective protection of individuals and the correct operation of protective equipment, whose capacity to act a qualified expert is recognized by the competent authorities. A qualified expert may be assigned the technical responsibility for the tasks of radiation protection of workers and members of the public. In Europe, the Qualified Expert is acting at present in the Medical Area in countries where there are not enough Medical Physics Experts or in countries where this role was established before the publication of the Council Directive 97/43/EURATOM. Now, the coherent

Expert and competent non-expert visual cues during simulated diagnosis in intensive care.

Science.gov (United States)

McCormack, Clare; Wiggins, Mark W; Loveday, Thomas; Festa, Marino

2014-01-01

The aim of this study was to examine the information acquisition strategies of expert and competent non-expert intensive care physicians during two simulated diagnostic scenarios involving respiratory distress in an infant. Specifically, the information acquisition performance of six experts and 12 competent non-experts was examined using an eye-tracker during the initial 90 s of the assessment of the patient. The results indicated that, in comparison to competent non-experts, experts recorded longer mean fixations, irrespective of the scenario. When the dwell times were examined against specific areas of interest, the results revealed that competent non-experts recorded greater overall dwell times on the nurse, where experts recorded relatively greater dwell times on the head and face of the manikin. In the context of the scenarios, experts recorded differential dwell times, spending relatively more time on the head and face during the seizure scenario than during the coughing scenario. The differences evident between experts and competent non-experts were interpreted as evidence of the relative availability of task-specific cues or heuristics in memory that might direct the process of information acquisition amongst expert physicians. The implications are discussed for the training and assessment of diagnostic skills.

A study of diagnostics expert system for accelerator applications

International Nuclear Information System (INIS)

Tyagi, Y.; Banerji, Anil; Kotaiah, S.

2003-01-01

Knowledge based techniques are proving to be useful in a number of problem domains which typically requires human expertise. Expert systems employing knowledge based techniques are a recent product of artificial intelligence. Methods developed in the artificial intelligence area can be applied with success for certain classes of problems in accelerator. Accelerators are complex devices with thousands of components. The number of possible faults or problems that can appear is enormous. A diagnostics expert system can provide great help in finding and diagnosing problems in Indus-II accelerator sub-systems. (author)

What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance

NARCIS (Netherlands)

C-L. Chang (Chia-Lin); M.J. McAleer (Michael)

2012-01-01

textabstractExperts possess knowledge and information that are not publicly available. The paper is concerned with the ranking of academic journal quality and research impact using a survey of experts from a national project on ranking academic finance journals. A comparison is made with publicly

Expert assessment of advanced power sources. Contract report

International Nuclear Information System (INIS)

Gardner, C.L.

2007-07-01

Although DRDC published an exhaustive technical report (in August 2001) on technology trends in advanced power sources projected out to the year 2020, the terrorist attacks on the US on September 11, 2001 (and the consequent, augmented and more broadly-based defence and national security posture adopted by the CF/DND), together with rapid developments in power source technologies over the past five years, internationally, prompted DRDC to update the 2001 report, on a selected number of power source technologies or applications and to provide further guidance to DRDC's Advanced Power Source R and D program. Eight wide-ranging, power source technologies or applications were investigated, using the technique of 'expert elicitation' (that is, using independent experts in the various and diverse technological fields), based on a standardized questionnaire, augmented by the contractor's own expertise (and his overall analysis of the experts' responses) in these diverse areas. In addition, each expert was asked about his/her view on the likely role of nanotechnology in each technological area or application. Following collection and analysis of all the data, the contractor made recommendations on the ability of each power source to meet the future requirements of the CF/DND, taking into account the Technology Readiness Level, for each technology or application

Expert system to produce a welding procedure specification

International Nuclear Information System (INIS)

Fukuda, S.; Morita, H.; Yamauchi, Y.; Tsuji, S.

1993-01-01

This paper describes the outline of the expert system for producing a welding procedure specification for a pressure vessel which has been developed in the 5 year project of Nagasaki Prefecture financially supported by MITI (Ministry of International Trade and Industry). The aim of this project is to reduce the burden of welding engineers because requirements are betting more and more severe and products are getting more and more complicated and diversified. In order to reduce the burden of a welding engineer, the Project has shown that the following facts must be taken into account in addition to the usual procedures of developing an expert system. The inference must be processed in accordance with the lines of reasoning of a welding engineer. It must be remembered that these lines differ from engineer to engineer. Thus, a very flexible inference mechanism is called for. The constraints are propagated in any direction. The mechanism to deal with this kind of constraint propagation is called for. The user wishes not only to follow the lines of reasoning but also to get the whole perspective during the reasoning process. The search space must be made visible to the user. Thus, the range must be clearly shown in the spreadsheet and in the graphics. And their correspondence must be established. Hierarchical inference mechanism is preferred

Expert and Competent Non-Expert Visual Cues during Simulated Diagnosis in Intensive Care

Directory of Open Access Journals (Sweden)

Clare eMcCormack

2014-08-01

Full Text Available The aim of this study was to examine the information acquisition strategies of expert and competent non-expert intensive care physicians during two simulated diagnostic scenarios involving respiratory distress in an infant. Specifically, the information acquisition performance of six experts and 12 competent non-experts was examined using an eye tracker during the initial 90 seconds of the assessment of the patient. The results indicated that, in comparison to competent non-experts, experts recorded longer mean fixations, irrespective of the scenario. When the dwell times were examined against specific areas of interest, the results revealed that competent non-experts recorded greater overall dwell times on the nurse, where experts recorded relatively greater dwell times on the head and face of the manikin. In the context of the scenarios, experts recorded differential dwell times, spending relatively more time on the head and face during the seizure scenario than during the coughing scenario. The differences evident between experts and competent non-experts were interpreted as evidence of the relative availability of task-specific cues or heuristics in memory that might direct the process of information acquisition amongst expert physicians. The implications are discussed for the training and assessment of diagnostic skills.

Construction of a case for expert judgement of uncertainty in early health effects models

International Nuclear Information System (INIS)

Grupa, J.

1997-11-01

The contribution of ECN to a joint study of the European Commission (EC) and the US Nuclear Regulatory Commission (NRC), in which the uncertainty in risks and consequences of severe accidents at nuclear power plants are evaluated, is described. The procedure used to obtain these uncertainties is called expert judgement. In a formal expert judgement procedure a panel of experts has provided quantitative information about the uncertainty in given observables: a quantity that describes an observation concerning the phenomenon of interest, in this paper the relation between dose and health effects, without information or assumptions about any model describing this phenomenon. The observables are defined in a case structure, a questionnaire provided to all experts. ECN has contributed to the selection of the experts for the early health effects panel, and provided assistance for drafting the case structure for this panel. This paper describes the radiological information provided by ECN and the analyses necessary for constructing the case structure. The deliverables of the expert elicitation are uncertainty distributions of the observables requested in the case structure. The results are intended to be unbiased, i.e. it should be applicable to any model describing the relation between dose and health effects. They will be published by the project team in a joint publication of the NRC and the EC. In this way the resulting uncertainty distributions are available for further work in the joint project and available to a more general public. 2 figs., 4 refs

EUTEMPE-RX, an EC supported FP7 project for the training and education of medical physics experts in radiology

International Nuclear Information System (INIS)

Bosmans, H.; Van Peteghem, N.; Bliznakova, K.; Vassileva, J.; Padovani, R.; Christofides, S.; Tsapaki, V.; Caruana, C.J.

2015-01-01

The core activity of the medical physics expert (MPE) is to ensure optimal use of ionising radiation in health care. It is essential that these health care professionals are trained to the highest level, defined as European Qualifications Framework for Lifelong Learning (EQF) level 8 by the European Commission's Radiation Protection Report 174 'Guidelines on the MPE'. The main objective of the EUTEMPE-RX project is to provide a model training scheme that allows the medical physicist in diagnostic and interventional radiology (D and IR) to reach this high level. A European network of partners was brought together in this FP7 EC project to ensure sufficient expertise in all aspects of the subject and to create a harmonised course programme. Targeted participants are medical physicists in D and IR in hospitals, engineers and scientists in medical device industries and officers working in regulatory authorities. Twelve course modules will be developed at EQF level 8, with radiation safety and diagnostic effectiveness being prevalent subjects. The modules will combine online with face-to-face teaching using a blended learning approach. (authors)

A statistical view of uncertainty in expert systems

International Nuclear Information System (INIS)

Spiegelhalter, D.J.

1986-01-01

The constructors of expert systems interpret ''uncertainty'' in a wide sense and have suggested a variety of qualitative and quantitative techniques for handling the concept, such as the theory of ''endorsements,'' fuzzy reasoning, and belief functions. After a brief selective review of procedures that do not adhere to the laws of probability, it is argued that a subjectivist Bayesian view of uncertainty, if flexibly applied, can provide many of the features demanded by expert systems. This claim is illustrated with a number of examples of probabilistic reasoning, and a connection drawn with statistical work on the graphical representation of multivariate distributions. Possible areas of future research are outlined

Expert Meeting Report. Key Innovations for Adding Energy Efficiency to Maintenance Projects

Energy Technology Data Exchange (ETDEWEB)

Wood, A. [NAHB Research Center, Upper Marlboro, MD (United States); Wiehagen, J. [NAHB Research Center, Upper Marlboro, MD (United States)

2012-09-01

This report describes an expert meeting hosted by the Building America research team NAHB Research Center, which was held on February 8, 2012, in Orlando, Florida. The topic focused on efforts to increase the efficiency of existing homes, specifically for re-roofing and the opportunities for adding energy efficiency upgrades during this major home repair activity.

Flammable gas project expert elicitation results for Hanford Site double-shell tanks

International Nuclear Information System (INIS)

Bratzel, D.R.

1998-01-01

This report documents the results of the second phase of parameter quantification by the flammable gas expert panel. This second phase is focused on the analysis of flammable gas accidents in the Hanford Site double-shell tanks. The first phase of parameter quantification, performed in 1997 was focused on the analysis of Hanford single-shell tanks

Development of a diagnostic expert system for eddy current data analysis using applied artificial intelligence methods

International Nuclear Information System (INIS)

Upadhyaya, B.R.; Yan, W.; Henry, G.

1999-01-01

A diagnostic expert system that integrates database management methods, artificial neural networks, and decision-making using fuzzy logic has been developed for the automation of steam generator eddy current test (ECT) data analysis. The new system, known as EDDYAI, considers the following key issues: (1) digital eddy current test data calibration, compression, and representation; (2) development of robust neural networks with low probability of misclassification for flaw depth estimation; (3) flaw detection using fuzzy logic; (4) development of an expert system for database management, compilation of a trained neural network library, and a decision module; and (5) evaluation of the integrated approach using eddy current data. The implementation to field test data includes the selection of proper feature vectors for ECT data analysis, development of a methodology for large eddy current database management, artificial neural networks for flaw depth estimation, and a fuzzy logic decision algorithm for flaw detection. A large eddy current inspection database from the Electric Power Research Institute NDE Center is being utilized in this research towards the development of an expert system for steam generator tube diagnosis. The integration of ECT data pre-processing as part of the data management, fuzzy logic flaw detection technique, and tube defect parameter estimation using artificial neural networks are the fundamental contributions of this research. (orig.)

Development of a diagnostic expert system for eddy current data analysis using applied artificial intelligence methods

Energy Technology Data Exchange (ETDEWEB)

Upadhyaya, B.R.; Yan, W. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering; Behravesh, M.M. [Electric Power Research Institute, Palo Alto, CA (United States); Henry, G. [EPRI NDE Center, Charlotte, NC (United States)

1999-09-01

A diagnostic expert system that integrates database management methods, artificial neural networks, and decision-making using fuzzy logic has been developed for the automation of steam generator eddy current test (ECT) data analysis. The new system, known as EDDYAI, considers the following key issues: (1) digital eddy current test data calibration, compression, and representation; (2) development of robust neural networks with low probability of misclassification for flaw depth estimation; (3) flaw detection using fuzzy logic; (4) development of an expert system for database management, compilation of a trained neural network library, and a decision module; and (5) evaluation of the integrated approach using eddy current data. The implementation to field test data includes the selection of proper feature vectors for ECT data analysis, development of a methodology for large eddy current database management, artificial neural networks for flaw depth estimation, and a fuzzy logic decision algorithm for flaw detection. A large eddy current inspection database from the Electric Power Research Institute NDE Center is being utilized in this research towards the development of an expert system for steam generator tube diagnosis. The integration of ECT data pre-processing as part of the data management, fuzzy logic flaw detection technique, and tube defect parameter estimation using artificial neural networks are the fundamental contributions of this research. (orig.)

CLIPS/Ada: An Ada-based tool for building expert systems

Science.gov (United States)

White, W. A.

1990-01-01

Clips/Ada is a production system language and a development environment. It is functionally equivalent to the CLIPS tool. CLIPS/Ada was developed in order to provide a means of incorporating expert system technology into projects where the use of the Ada language had been mandated. A secondary purpose was to glean information about the Ada language and its compilers. Specifically, whether or not the language and compilers were mature enough to support AI applications. The CLIPS/Ada tool is coded entirely in Ada and is designed to be used by Ada systems that require expert reasoning.

Applying of Reliability Techniques and Expert Systems in Management of Radioactive Accidents

International Nuclear Information System (INIS)

Aldaihan, S.; Alhbaib, A.; Alrushudi, S.; Karazaitri, C.

1998-01-01

Accidents including radioactive exposure have variety of nature and size. This makes such accidents complex situations to be handled by radiation protection agencies or any responsible authority. The situations becomes worse with introducing advanced technology with high complexity that provide operator huge information about system working on. This paper discusses the application of reliability techniques in radioactive risk management. Event tree technique from nuclear field is described as well as two other techniques from nonnuclear fields, Hazard and Operability and Quality Function Deployment. The objective is to show the importance and the applicability of these techniques in radiation risk management. Finally, Expert Systems in the field of accidents management are explored and classified upon their applications

Code Sharing and Collaboration: Experiences From the Scientist's Expert Assistant Project and Their Relevance to the Virtual Observatory

Science.gov (United States)

Korathkar, Anuradha; Grosvenor, Sandy; Jones, Jeremy; Li, Connie; Mackey, Jennifer; Neher, Ken; Obenschain, Arthur F. (Technical Monitor)

2001-01-01

In the Virtual Observatory (VO), software tools will perform the functions that have traditionally been performed by physical observatories and their instruments. These tools will not be adjuncts to VO functionality but will make up the very core of the VO. Consequently, the tradition of observatory and system independent tools serving a small user base is not valid for the VO. For the VO to succeed, we must improve software collaboration and code sharing between projects and groups. A significant goal of the Scientist's Expert Assistant (SEA) project has been promoting effective collaboration and code sharing among groups. During the past three years, the SEA project has been developing prototypes for new observation planning software tools and strategies. Initially funded by the Next Generation Space Telescope, parts of the SEA code have since been adopted by the Space Telescope Science Institute. SEA has also supplied code for the SIRTF (Space Infrared Telescope Facility) planning tools, and the JSky Open Source Java library. The potential benefits of sharing code are clear. The recipient gains functionality for considerably less cost. The provider gains additional developers working with their code. If enough users groups adopt a set of common code and tools, de facto standards can emerge (as demonstrated by the success of the FITS standard). Code sharing also raises a number of challenges related to the management of the code. In this talk, we will review our experiences with SEA--both successes and failures, and offer some lessons learned that might promote further successes in collaboration and re-use.

Aerothermodynamics of expert ballistic vehicle at hypersonic speeds

Science.gov (United States)

Kharitonov, A. M.; Adamov, N. P.; Chirkashenko, V. F.; Mazhul, I. I.; Shpak, S. I.; Shiplyuk, A. N.; Vasenyov, L. G.; Zvegintsev, V. I.; Muylaert, J. M.

2012-01-01

The European EXPErimental Re-entry Test bed (EXPERT) vehicle is intended for studying various basic phenomena, such as the boundary-layer transition on blunted bodies, real gas effects during shock wave/boundary layer interaction, and effect of surface catalycity. Another task is to develop methods for recalculating the results of windtunnel experiments to flight conditions. The EXPERT program implies large-scale preflight research, in particular, various calculations with the use of advanced numerical methods, experimental studies of the models in various wind tunnels, and comparative analysis of data obtained for possible extrapolation of data to in-flight conditions. The experimental studies are performed in various aerodynamic centers of Europe and Russia under contracts with ESA-ESTEC. In particular, extensive experiments are performed at the Von Karman Institute for Fluid Dynamics (VKI, Belgium) and also at the DLR aerospace center in Germany. At ITAM SB RAS, the experimental studies of the EXPERT model characteristic were performed under ISTC Projects 2109, 3151, and 3550, in the T-313 supersonic wind tunnel and AT-303 hypersonic wind tunnel.

Guidelines for the verification and validation of expert system software and conventional software: Survey and documentation of expert system verification and validation methodologies. Volume 3

Energy Technology Data Exchange (ETDEWEB)

Groundwater, E.H.; Miller, L.A.; Mirsky, S.M. [Science Applications International Corp., McLean, VA (United States)

1995-03-01

This report is the third volume in the final report for the Expert System Verification and Validation (V&V) project which was jointly sponsored by the Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V&V of expert systems for use in nuclear power applications. The purpose of this activity was to survey and document techniques presently in use for expert system V&V. The survey effort included an extensive telephone interviewing program, site visits, and a thorough bibliographic search and compilation. The major finding was that V&V of expert systems is not nearly as established or prevalent as V&V of conventional software systems. When V&V was used for expert systems, it was almost always at the system validation stage after full implementation and integration usually employing the non-systematic dynamic method of {open_quotes}ad hoc testing.{close_quotes} There were few examples of employing V&V in the early phases of development and only weak sporadic mention of the possibilities in the literature. There is, however, a very active research area concerning the development of methods and tools to detect problems with, particularly, rule-based expert systems. Four such static-testing methods were identified which were not discovered in a comprehensive review of conventional V&V methods in an earlier task.

Expert2OWL: A Methodology for Pattern-Based Ontology Development.

Science.gov (United States)

Tahar, Kais; Xu, Jie; Herre, Heinrich

2017-01-01

The formalization of expert knowledge enables a broad spectrum of applications employing ontologies as underlying technology. These include eLearning, Semantic Web and expert systems. However, the manual construction of such ontologies is time-consuming and thus expensive. Moreover, experts are often unfamiliar with the syntax and semantics of formal ontology languages such as OWL and usually have no experience in developing formal ontologies. To overcome these barriers, we developed a new method and tool, called Expert2OWL that provides efficient features to support the construction of OWL ontologies using GFO (General Formal Ontology) as a top-level ontology. This method allows a close and effective collaboration between ontologists and domain experts. Essentially, this tool integrates Excel spreadsheets as part of a pattern-based ontology development and refinement process. Expert2OWL enables us to expedite the development process and modularize the resulting ontologies. We applied this method in the field of Chinese Herbal Medicine (CHM) and used Expert2OWL to automatically generate an accurate Chinese Herbology ontology (CHO). The expressivity of CHO was tested and evaluated using ontology query languages SPARQL and DL. CHO shows promising results and can generate answers to important scientific questions such as which Chinese herbal formulas contain which substances, which substances treat which diseases, and which ones are the most frequently used in CHM.

Risk taking in adversarial situations: Civilization differences in chess experts.

Science.gov (United States)

Chassy, Philippe; Gobet, Fernand

2015-08-01

The projections of experts in politics predict that a new world order will emerge within two decades. Being multipolar, this world will inevitably lead to frictions where civilizations and states will have to decide whether to risk conflict. Very often these decisions are informed if not taken by experts. To estimate risk-taking across civilizations, we examined strategies used in 667,599 chess games played over eleven years by chess experts from 11 different civilizations. We show that some civilizations are more inclined to settle for peace. Similarly, we show that once engaged in the battle, the level of risk taking varies significantly across civilizations, the boldest civilization using the riskiest strategy about 35% more than the most conservative civilization. We discuss which psychological factors might underpin these civilizational differences. Copyright © 2015. Published by Elsevier B.V.

Plutonium - the ultrapoison? An expert's opinion about an expert opinion

International Nuclear Information System (INIS)

Stoll, W.; Becker, K.

1989-01-01

In an expert opinion written by Professor H. Kuni, Marburg, for the North Rhine-Westphalian state government, plutonium is called by far the most dangerous element in the Periodic Table. The Marburg medical expert holds that even improved legal instruments are unable to warrant effective protection of the workers handling this material, in the light of the present standards of industrial safety, because of radiological conditions and measuring problems with plutonium isotopes. In this article by an internationally renowned expert in the field, the ideas expressed in the expert opinion about the toxicity of plutonium, the cause-and-effect relationship in radiation damage by plutonium, and recent findings about the toxicity are subjected to a critical review. On the basis of results of radiation protection and of case studies, the statements in the expert opinion are contrasted with facts which make them appear in a very different light. (orig./RB) [de

Expert status and performance.

Directory of Open Access Journals (Sweden)

Mark A Burgman

Full Text Available Expert judgements are essential when time and resources are stretched or we face novel dilemmas requiring fast solutions. Good advice can save lives and large sums of money. Typically, experts are defined by their qualifications, track record and experience. The social expectation hypothesis argues that more highly regarded and more experienced experts will give better advice. We asked experts to predict how they will perform, and how their peers will perform, on sets of questions. The results indicate that the way experts regard each other is consistent, but unfortunately, ranks are a poor guide to actual performance. Expert advice will be more accurate if technical decisions routinely use broadly-defined expert groups, structured question protocols and feedback.

3SE: Expert system for the survey of electric sources - CPN of Bugey

International Nuclear Information System (INIS)

Ancelin, J.; Cheriaux, F.; Drelon, R.; Gaussot, J.P.; Marion, B.; Maurin, S.; Pichot, D.; Sancerni, G.; Voisin, C.; Legaud, P.

1990-01-01

The 3SE is an expert system for surveying the electric sources of a 900 MW PWR nuclear power plant. The main objectives of the expert system are: to provide a continuous and a real time support for electric faults data processing; to provide assistance in the electric equipment maintenance; to contribute to the instruction of operators as well as to the data base management of the electric system. Data bases and artificial intelligence techniques are applied. The system's application is based on the accurate knowledge of the nuclear power plant operation and topology, as well as on a model approach. The expert system is applied in the section 2 of the Bugey nuclear power plant. The system which required the effort of 20 engineers x years, is an example of the progress performed in the artificial intelligence field [fr

Efficient fuzzy Bayesian inference algorithms for incorporating expert knowledge in parameter estimation

Science.gov (United States)

Rajabi, Mohammad Mahdi; Ataie-Ashtiani, Behzad

2016-05-01

Bayesian inference has traditionally been conceived as the proper framework for the formal incorporation of expert knowledge in parameter estimation of groundwater models. However, conventional Bayesian inference is incapable of taking into account the imprecision essentially embedded in expert provided information. In order to solve this problem, a number of extensions to conventional Bayesian inference have been introduced in recent years. One of these extensions is 'fuzzy Bayesian inference' which is the result of integrating fuzzy techniques into Bayesian statistics. Fuzzy Bayesian inference has a number of desirable features which makes it an attractive approach for incorporating expert knowledge in the parameter estimation process of groundwater models: (1) it is well adapted to the nature of expert provided information, (2) it allows to distinguishably model both uncertainty and imprecision, and (3) it presents a framework for fusing expert provided information regarding the various inputs of the Bayesian inference algorithm. However an important obstacle in employing fuzzy Bayesian inference in groundwater numerical modeling applications is the computational burden, as the required number of numerical model simulations often becomes extremely exhaustive and often computationally infeasible. In this paper, a novel approach of accelerating the fuzzy Bayesian inference algorithm is proposed which is based on using approximate posterior distributions derived from surrogate modeling, as a screening tool in the computations. The proposed approach is first applied to a synthetic test case of seawater intrusion (SWI) in a coastal aquifer. It is shown that for this synthetic test case, the proposed approach decreases the number of required numerical simulations by an order of magnitude. Then the proposed approach is applied to a real-world test case involving three-dimensional numerical modeling of SWI in Kish Island, located in the Persian Gulf. An expert

Expert systems development: some problems, motives and issues in an exploratory study

International Nuclear Information System (INIS)

Mehdi Sagheb-Tehrani.

1993-10-01

Even though expert systems (ES) have been in use since the early eighties, there is a remarkable lack of a strong theoretical base for handling expert systems development problems. There is a requirement in the ES field for theories or explanatory models to formulate propositions, to conduct research and interpret findings in a coherent way. This work presents an exploratory investigation designed to identify some problems, motives and issues associated with developing expert systems. Totally, twenty-five expert systems were developed by various organizations which participated in the study. The study attempts to provide evidence that either supports or refutes the anecdotes, gossips and speculations currently being spread through the academic journals dealing with the expert systems development in organizations. This study provides evidence that knowledge acquisition is indeed the bottleneck of expert systems development. It also points out that most expert systems are still in the prototype stage, and that current expert systems are mostly used for aiding the decision making of less skilled domain personnel and to a lesser extent for advice to experts. The rationale behind these uses seems to be the search by organizations for better decision making in the hope of improving competitiveness. A conceptual model of expert systems development is introduced based upon theoretical studies and the findings of this study from which some hypotheses are drawn. The main objective of the model is to contribute to a larger theoretical framework. Another aim is to create a broader theoretical framework for expert systems development in order to implement such systems more successfully. The results of the study confirm that the linkages of various concepts involved in the expert systems development process are very important for the design of a successful expert system project

Medical Expert Systems Survey

OpenAIRE

Abu-Nasser, Bassem S.

2017-01-01

International audience; There is an increased interest in the area of Artificial Intelligence in general and expert systems in particular. Expert systems are rapidly growing technology. Expert systems are a branch of Artificial Intelligence which is having a great impact on many fields of human life. Expert systems use human expert knowledge to solve complex problems in many fields such as Health, science, engineering, business, and weather forecasting. Organizations employing the technology ...

Presenting a Framework for Evaluating and Prioritizing Risk of Information Technology Outsourcing: Perspective of Experts in Information Systems Design

Directory of Open Access Journals (Sweden)

abbas Keramati

2012-06-01

Full Text Available Information technology outsourcing projects have advantages including: reduced costs, improved service quality, creation of competitive advantage, etc. When these projects are being outsourced, lack of attention to their risks causes the lost of anticipated benefits and contributes to failure. As for the growing trend of information technology outsourcing projects in Iran, the purpose of this study is to identify the risks of information technology outsourcing projects, evaluate and prioritize them based on the perspective of experts in information systems design. For achieving these goals, key articles were reviewed and comprehensive list of 12 risk factors were identified. For prioritizing, a Fuzzy Analytical Network Process (F-ANP structure has been provided and the risk factors were laid in it. Then, by using a questionnaire, 13 experts' viewpoints were collected. The results show that the factor of "supplier" and the sub-factor of "Lack of skills of supplier in IT operations" are the most important factors for success and failure of information technology outsourcing projects in the perspective of experts in information systems design.

Expertize of hydrochemical investigation Know-how for deep underground

International Nuclear Information System (INIS)

Iwatsuki, Teruki; Mizuno, Takashi; Amano, Yuki; Kunimaru, Takanori; Semba, Takeshi

2012-03-01

This report summarizes technical basis and the Know-how on hydrochemical investigations for deep underground as a part of METI project 'Development of Information Synthesis and Interpretation System (ISIS)'. We describe the procedures and methods of hydrochemical investigation in following stages; 1) initial analysis of previous information, 2) planning of borehole investigation, 3) borehole investigation at field, and 4) construct the 'hydrochemical model' representing hydrochemical condition and the evolution process. The contents of this report are inputted to 'Expert system' developed by METI project and are available on WEB system (internet). (author)

Inter-expert and intra-expert reliability in sleep spindle scoring

DEFF Research Database (Denmark)

Wendt, Sabrina Lyngbye; Welinder, Peter; Sørensen, Helge Bjarup Dissing

2015-01-01

Objectives To measure the inter-expert and intra-expert agreement in sleep spindle scoring, and to quantify how many experts are needed to build a reliable dataset of sleep spindle scorings. Methods The EEG dataset was comprised of 400 randomly selected 115 s segments of stage 2 sleep from 110...... with higher reliability than the estimation of spindle duration. Reliability of sleep spindle scoring can be improved by using qualitative confidence scores, rather than a dichotomous yes/no scoring system. Conclusions We estimate that 2–3 experts are needed to build a spindle scoring dataset...... with ‘substantial’ reliability (κ: 0.61–0.8), and 4 or more experts are needed to build a dataset with ‘almost perfect’ reliability (κ: 0.81–1). Significance Spindle scoring is a critical part of sleep staging, and spindles are believed to play an important role in development, aging, and diseases of the nervous...

Energy efficiency enhancement in cement factories using expert system

International Nuclear Information System (INIS)

Effatnejad, R.; Jadih, S.

2001-01-01

Full text : In this paper, expert system for energy efficiency in cement industry is presented. Due to the fact that cement manufacturing project in these factories are similar, so in main parts knowing the consumption origins and save potential and existing approaches can be similar. In this method, via expert system software of prolog AH types of energy consumption and investment costs are listed in which method of best first search and innovative search have been used and by forming knowledge base, targeting to get best approaches is presented. The obtained results, regarding the executed limits, will be displayed in the output of program and this program can be given the best decision about energy management in cement factories

3D images and expert system

International Nuclear Information System (INIS)

Hasegawa, Jun-ichi

1998-01-01

This paper presents an expert system called 3D-IMPRESS for supporting applications of three dimensional (3D) image processing. This system can automatically construct a 3D image processing procedure based on a pictorial example of the goal given by a user. In the paper, to evaluate the performance of the system, it was applied to construction of procedures for extracting specific component figures from practical chest X-ray CT images. (author)

What defines an Expert? - Uncertainty in the interpretation of seismic data

Science.gov (United States)

Bond, C. E.

2008-12-01

Studies focusing on the elicitation of information from experts are concentrated primarily in economics and world markets, medical practice and expert witness testimonies. Expert elicitation theory has been applied in the natural sciences, most notably in the prediction of fluid flow in hydrological studies. In the geological sciences expert elicitation has been limited to theoretical analysis with studies focusing on the elicitation element, gaining expert opinion rather than necessarily understanding the basis behind the expert view. In these cases experts are defined in a traditional sense, based for example on: standing in the field, no. of years of experience, no. of peer reviewed publications, the experts position in a company hierarchy or academia. Here traditional indicators of expertise have been compared for significance on affective seismic interpretation. Polytomous regression analysis has been used to assess the relative significance of length and type of experience on the outcome of a seismic interpretation exercise. Following the initial analysis the techniques used by participants to interpret the seismic image were added as additional variables to the analysis. Specific technical skills and techniques were found to be more important for the affective geological interpretation of seismic data than the traditional indicators of expertise. The results of a seismic interpretation exercise, the techniques used to interpret the seismic and the participant's prior experience have been combined and analysed to answer the question - who is and what defines an expert?

HAIM OMLET: An Expert System For Research In Orthomodular Lattices And Related Structures

Science.gov (United States)

Dankel, D. D.; Rodriguez, R. V.; Anger, F. D.

1986-03-01

This paper describes research towards the construction of an expert system combining the brute force power of algorithmic computation and the inductive reasoning power of a rule-based inference engine in the mathematical area of discrete structures. Little research has been conducted on extending existing expert systems' technology to computationally complex areas. This research addresses the extension of expert systems into areas such as these, where the process of inference by itself will not produce the proper results. Additionally, the research will demonstrate the benefits of combining inference engines and mathematical algorithms to attack computationally complex problems. The specific aim is to produce an expert system which embodies expert level knowledge of orthomodular lattices, graphs, structure spaces, boolean algebras, incidence relations, and projective configurations. The resulting system, implemented on a micro-computer, will provide researchers a powerful and accessible tool for exploring these discrete structures. The system's "shell" will provide a structure for developing other expert systems with similar capabilities in such related areas as coding theory, categories, monoids, automata theory, and non-standard logics.

An experiment in multiple expertise synthesis for a diagnosis expert system

International Nuclear Information System (INIS)

Doutre, J.L.; Ricard, B.

1991-11-01

The DIAPO project concerns an expert system for primary coolant pumps diagnosis. This presentation describes how the K.O.D. methodology (Knowledge Oriented Design - CISI Ingenierie) has been used during the knowledge modelling stage, in order to analyze expert know-how. This methodology relies on a systematic analysis of expert discourse. It leads to the identification of domain description elements, of actions performed and of interpretation structures, telling how symptoms can be thought of as 'situations'. The nature of knowledge elements, the way they can be structured is described. Emphasis is laid on the way a synthetic model has been derived from six individual models. This work concludes on the necessity of a strong typing of knowledge elements in connection with the way they will be used when expertise is put into operation

Applying Aspects of the Expert Performance Approach to Better Understand the Structure of Skill and Mechanisms of Skill Acquisition in Video Games.

Science.gov (United States)

Boot, Walter R; Sumner, Anna; Towne, Tyler J; Rodriguez, Paola; Anders Ericsson, K

2017-04-01

Video games are ideal platforms for the study of skill acquisition for a variety of reasons. However, our understanding of the development of skill and the cognitive representations that support skilled performance can be limited by a focus on game scores. We present an alternative approach to the study of skill acquisition in video games based on the tools of the Expert Performance Approach. Our investigation was motivated by a detailed analysis of the behaviors responsible for the superior performance of one of the highest scoring players of the video game Space Fortress (Towne, Boot, & Ericsson, ). This analysis revealed how certain behaviors contributed to his exceptional performance. In this study, we recruited a participant for a similar training regimen, but we collected concurrent and retrospective verbal protocol data throughout training. Protocol analysis revealed insights into strategies, errors, mental representations, and shifting game priorities. We argue that these insights into the developing representations that guided skilled performance could only easily have been derived from the tools of the Expert Performance Approach. We propose that the described approach could be applied to understand performance and skill acquisition in many different video games (and other short- to medium-term skill acquisition paradigms) and help reveal mechanisms of transfer from gameplay to other measures of laboratory and real-world performance. Copyright © 2016 Cognitive Science Society, Inc.

A study on interaction App platform between expert knowledge and community applied on disaster education

Science.gov (United States)

Ruljigaljig, T.; Huang, M. L.

2015-12-01

This study development interface for Mobile Application (App) use cloud technology, Web 2.0 and online community of technology to build the Environmental-Geological Disaster Network(EDN). The interaction App platform between expert knowledge and community is developed as a teaching tool, which bases on the open data released by Central Geological Survey. The APP can through Augmented Reality technology to potential hazards position through the camera lens, the real show in real-world environment. The interaction with experts in the community to improve the general public awareness of disaster. Training people to record the occurrence of geological disasters precursor, thereby awakened their to natural disaster consciousness and attention.General users obtain real-time information during travel, mountaineering and teaching process. Using App platform to upload and represent the environmental geological disaster data collected by themselves. It is expected that by public joint the open platform can accumulate environmental geological disaster data effectively, quickly, extensively and correctly. The most important thing of this study is rooting the concept of disaster prevention, reduction, and avoidance through public participation.

Applied Linguistics Project: Student-Led Computer Assisted Research in High School EAL/EAP

Science.gov (United States)

Bohát, Róbert; Rödlingová, Beata; Horáková, Nina

2015-01-01

The Applied Linguistics Project (ALP) started at the International School of Prague (ISP) in 2013. Every year, Grade 9 English as an Additional Language (EAL) students identify an area of learning in need of improvement and design a research method followed by data collection and analysis using basic computer software tools or online corpora.…

Critical path method applied to research project planning: Fire Economics Evaluation System (FEES)

Science.gov (United States)

Earl B. Anderson; R. Stanton Hales

1986-01-01

The critical path method (CPM) of network analysis (a) depicts precedence among the many activities in a project by a network diagram; (b) identifies critical activities by calculating their starting, finishing, and float times; and (c) displays possible schedules by constructing time charts. CPM was applied to the development of the Forest Service's Fire...

Diagnostic expert system in the PF LINAC

International Nuclear Information System (INIS)

Abe, Isamu; Nakahara, Kazuo; Kitamura, Masaharu.

1992-01-01

A prototype diagnostic expert system (ES) was developed for the Photon Factory 2.5-GeV electron/positron LINAC injector system. The ES has been on-lined with the conventional linac computer network for receiving real data. This project was undertaken in an attempt to reduce the linac operator's mental workload, diagnosis duties, and to explore Artificial Intelligence (AI) technologies. The outlook for ES and its problems, and what has been achieved are outlined in this presentation. (author)

The novice and the expert: How gender and experience influence student participation, interest and learning in an Internet-based science project

Science.gov (United States)

Mistler-Jackson, Megan Elizabeth

The purpose of this study is to examine how gender issues influence middle school students' participation, interest and learning in an Internet-based science curriculum project. One central question is whether using the Internet for communication and collaboration might serve as an entree into science and computer technology for those who are otherwise disinterested. Five students and their teacher were observed for five weeks and interviewed at the end of their participation in the Journey North Internet-based science project. Other methods of data collection included field notes, journal writing, and document review. Data were analyzed using ethnographic and case study methodology. Results revealed that boys were viewed as science and computer experts by themselves and by their peers more often than girls, both when they were and were not more knowledgeable. Data also showed that the teacher's inexperience with computers and the Journey North project was a more significant factor in student learning than gender. Findings with two students support the notion that using the Internet for communication and collaboration may encourage participation in computer technology by students like them. These results add to literatures that document the gender gap in science and computing and complement research on the incorporation of the Internet in the classroom. This study examines participation and interest from students' points of view, confirms the central role teachers play in enacting network science projects effectively and identifies several challenges this teacher faced in learning to utilize new technologies.

Natural representation of the deduction; applying to the temporal reasoning for expert systems based on production rules

International Nuclear Information System (INIS)

Baudin, Patrick

1990-01-01

The expert systems development within a real time context, requires both to master the necessary reasoning about the time as well as to master the necessary response time for reasoning. Although rigorous temporal logic formalisms exist, strategies for temporal reasoning are either incomplete or else imply unacceptable response times. The first part presents the logic formalism upon which is based the production system. This formalism contains a three-valued logic system with truth-valued matrix, and a deductive system with a formal system. It does a rigorous work for this no standard logic, where the notions of consistency and completeness can be studied. Its development supports itself on the will to formalise the reasoning used at the elaboration time of the strategies to make them more explicit as the natural deduction method. The second part proposes an extension for the source logic formalism to take explicitly the time into account. The approach proposed through 'TANIS', the prototype of such an expert system shell, using a natural reasoning application is proposed. It allows, at the generation time, the implementation within the expert system, of an adapted deduction strategy to the symbolic temporal reasoning which is complete and ease the determination of the response time. (author) [fr

Planetary Exploration Education: As Seen From the Point of View of Subject Matter Experts

Science.gov (United States)

Milazzo, M. P.; Anderson, R. B.; Gaither, T. A.; Vaughan, R. G.

2016-12-01

Planetary Learning that Advances the Nexus of Engineering, Technology, and Science (PLANETS) was selected as one of 27 new projects to support the NASA Science Mission Directorate's Science Education Cooperative Agreement Notice. Our goal is to develop and disseminate out-of-school time (OST) curricular and related educator professional development modules that integrate planetary science, technology, and engineering. We are a partnership between planetary science Subject Matter Experts (SMEs), curriculum developers, science and engineering teacher professional development experts and OST teacher networks. The PLANETS team includes the Center for Science Teaching and Learning (CSTL) at Northern Arizona University (NAU); the U.S. Geological Survey (USGS) Astrogeology Science Center (Astrogeology), and the Boston Museum of Science (MOS). Here, we present the work and approach by the SMEs at Astrogeology. As part of this overarching project, we will create a model for improved integration of SMEs, curriculum developers, professional development experts, and educators. For the 2016 and 2017 Fiscal Years, our focus is on creating science material for two OST modules designed for middle school students. We will begin development of a third module for elementary school students in the latter part of FY2017. The first module focuses on water conservation and treatment as applied on Earth, the International Space Station, and at a fictional Mars base. This unit involves the science and engineering of finding accessible water, evaluating it for quality, treating it for impurities (i.e., dissolved and suspended), initial use, a cycle of greywater treatment and re-use, and final treatment of blackwater. The second module involves the science and engineering of remote sensing as it is related to Earth and planetary exploration. This includes discussion and activities related to the electromagnetic spectrum, spectroscopy and various remote sensing systems and techniques. In

Expert Panel Recommendations for Hanford Double-Shell Tank Life Extension

Energy Technology Data Exchange (ETDEWEB)

Stewart, Charles W; Bush, Spencer H; Berman, Herbert Stanton; Czajkowski, Carl J; Divine, James R; Posakony, Gerald J; Johnson, A B; Elmore, Monte R; Reynolds, D A; Anantatmula, Ramamohan P; Sindelar, Robert L; Zapp, Philip E

2001-06-29

Expert workshops were held in Richland in May 2001 to review the Hanford Double-Shell Tank Integrity Project and make recommendations to extend the life of Hanford's double-shell waste tanks. The workshop scope was limited to corrosion of the primary tank liner, and the main areas for review were waste chemistry control, tank inspection, and corrosion monitoring. Participants were corrosion experts from Hanford, Savannah River Site, Brookhaven National Lab., Pacific Northwest National Lab., and several consultants. This report describes the current state of the three areas of the program, the final recommendations of the workshop, and the rationale for their selection.

Using Expert Systems in Evaluation of the State of High Voltage Machine Insulation Systems

Directory of Open Access Journals (Sweden)

K. Záliš

2000-01-01

Full Text Available Expert systems are used for evaluating the actual state and future behavior of insulating systems of high voltage electrical machines and equipment. Several rule-based expert systems have been developed in cooperation with top diagnostic workplaces in the Czech Republic for this purpose. The IZOLEX expert system evaluates diagnostic measurement data from commonly used offline diagnostic methods for the diagnostic of high voltage insulation of rotating machines, non-rotating machines and insulating oils. The CVEX expert system evaluates the discharge activity on high voltage electrical machines and equipment by means of an off-line measurement. The CVEXON expert system is for evaluating the discharge activity by on-line measurement, and the ALTONEX expert system is the expert system for on-line monitoring of rotating machines. These developed expert systems are also used for educating students (in bachelor, master and post-graduate studies and in courses which are organized for practicing engineers and technicians and for specialists in the electrical power engineering branch. A complex project has recently been set up to evaluate the measurement of partial discharges. Two parallel expert systems for evaluating partial dischatge activity on high voltage electrical machines will work at the same time in this complex evaluating system.

Guidelines for the verification and validation of expert system software and conventional software: Survey and documentation of expert system verification and validation methodologies. Volume 3

International Nuclear Information System (INIS)

Groundwater, E.H.; Miller, L.A.; Mirsky, S.M.

1995-03-01

This report is the third volume in the final report for the Expert System Verification and Validation (V ampersand V) project which was jointly sponsored by the Nuclear Regulatory Commission and the Electric Power Research Institute. The ultimate objective is the formulation of guidelines for the V ampersand V of expert systems for use in nuclear power applications. The purpose of this activity was to survey and document techniques presently in use for expert system V ampersand V. The survey effort included an extensive telephone interviewing program, site visits, and a thorough bibliographic search and compilation. The major finding was that V ampersand V of expert systems is not nearly as established or prevalent as V ampersand V of conventional software systems. When V ampersand V was used for expert systems, it was almost always at the system validation stage after full implementation and integration usually employing the non-systematic dynamic method of open-quotes ad hoc testing.close quotes There were few examples of employing V ampersand V in the early phases of development and only weak sporadic mention of the possibilities in the literature. There is, however, a very active research area concerning the development of methods and tools to detect problems with, particularly, rule-based expert systems. Four such static-testing methods were identified which were not discovered in a comprehensive review of conventional V ampersand V methods in an earlier task

WWW expert system on producer gas cleaning

Energy Technology Data Exchange (ETDEWEB)

Schouten, E.J.; Lammers, G.; Beenackers, A.A.C.M. [University of Groningen (Netherlands)

1999-07-01

The University of Groningen (RUG) has developed an expert system on cleaning of biomass producer gas. This work was carried out in close co-operation with the Biomass Technology Group B.V. (BTG) in Enschede, The Netherlands within the framework of the EC supported JOR3-CT95-0084 project. The expert system was developed as a tool for the designer-engineer of downstream gas cleaning equipment and consists of an information package and a flowsheet package. The packages are integrated in a client/server system. The flowsheeting package of the expert system has been designed for the evaluation of different gas cleaning methods. The system contains a number of possible gas cleaning devices such as: cyclone, fabric filter, ceramic filter, venturi scrubber and catalytic cracker. The user can select up to five cleaning steps in an arbitrary order for his specific gas cleaning problem. After specification of the required design parameters, the system calculates the main design characteristics of the cleaning device. The information package is a collection of HTML{sup TM} files. It contains a large amount of information, tips, experience data, literature references and hyperlinks to other interesting Internet sites. This information is arranged per cleaning device. (orig.)

IMBA expert(r): Internal dosimetry made simple

International Nuclear Information System (INIS)

Birchall, A.; Puncher, M.; James, A.C.; Marsh, J.W.; Jarvis, N.S.; Peace, M.S.; Davis, K.; King, D.J.

2003-01-01

In 1997, a collaboration between British Nuclear Fuels plc (BNFL), Westlakes Research Institute and NRPB started, with the aim of producing IMBA (Integrated Modules for Bioassay Analysis), a suite of software modules that implement the new ICRP models for estimation of intakes and doses. This was partly in response to new UK regulations, and partly due to the requirement for a unified approach in estimating intakes and doses from bioassay measurements within the UK. Over the past 5 years, the IMBA modules have been developed further, have gone through extensive quality assurance, and are now used for routine dose assessment by approved dosimetry services throughout the UK. More recently, interest in the IMBA methodology has been shown by the United States Department of Energy (USDOE), and in 2001 an ambitious project to develop a software package (IMBA Expert TM USDOE Edition) which would meet the requirements of all of the major USDOE sites began. Interest in IMBA Expert is now being expressed in many other countries. The aim of this paper is to outline the origin and evolution of the IMBA modules (the past); to describe the full capabilities of the current IMBA Expert system (the present) and to indicate possible future directions in terms of capabilities and availability (the future). (author)

IMBA expert(r): Internal dosimetry made simple

Energy Technology Data Exchange (ETDEWEB)

Birchall, A.; Puncher, M.; James, A.C.; Marsh, J.W.; Jarvis, N.S.; Peace, M.S.; Davis, K.; King, D.J

2003-07-01

In 1997, a collaboration between British Nuclear Fuels plc (BNFL), Westlakes Research Institute and NRPB started, with the aim of producing IMBA (Integrated Modules for Bioassay Analysis), a suite of software modules that implement the new ICRP models for estimation of intakes and doses. This was partly in response to new UK regulations, and partly due to the requirement for a unified approach in estimating intakes and doses from bioassay measurements within the UK. Over the past 5 years, the IMBA modules have been developed further, have gone through extensive quality assurance, and are now used for routine dose assessment by approved dosimetry services throughout the UK. More recently, interest in the IMBA methodology has been shown by the United States Department of Energy (USDOE), and in 2001 an ambitious project to develop a software package (IMBA Expert{sup TM} USDOE Edition) which would meet the requirements of all of the major USDOE sites began. Interest in IMBA Expert is now being expressed in many other countries. The aim of this paper is to outline the origin and evolution of the IMBA modules (the past); to describe the full capabilities of the current IMBA Expert system (the present) and to indicate possible future directions in terms of capabilities and availability (the future). (author)

The CBT Advisor: An Expert System Program for Making Decisions about CBT.

Science.gov (United States)

Kearsley, Greg

1985-01-01

Discusses structure, credibility, and use of the Computer Based Training (CBT) Advisor, an expert system designed to help managers make judgements about course selection, system selection, cost/benefits, development effort, and probable success of CBT projects. (MBR)

REXS : A financial risk diagnostic expert system

Directory of Open Access Journals (Sweden)

W. Richter

2012-01-01

Full Text Available

ENGLISH ABSTRACT: Artificial intelligence techniques are rapidly emerging as important contributors to more effective management. One of the greatest growth areas probably lies in the use of Expert System methodology for supporting managerial decision processes.
Existing Decision Support Systems often attempt to apply analytical techniques in combination with traditional data access and retrieval functions. One of the problems usually encountered while developing such decision support systems is the need to transform an unstructured problem environment into a structured analytical model. Using an expert system approach to strategic decision making in such unstructured problem environments may provide significant advantages.
The financial Risk diagnostic EXpert System (REXS concentrates on Financial Risk Analysis. Based on a Forecasting Model the system will, with the support of several expert system knowledge bases, attempt to evaluate the financial risk of a business and provide guidelines for improvement.

AFRIKAANSE OPSOMMING: Tegnieke gebaseer op Kunsmatige Intelligensie toon tans die belofte om belangrike bydraes te maak tot meerBestaande Besluitsteunstelsels poog dikwels om analitiese tegnieke en lradisionele datatoegang- en onttrekkingsfunksies te kombineer. Een van die probleme wat gewoonlik ondervind word gedurende die ontwikkeling van '0 besluitsteunstelsel bestaan uit die behoefte om 'n ongestruktueerde probleemomgewing te transformeer na 'n gestruktueerde analitiese model. 'n Ekspertstelselbenadering lot strategiese besluitneming in 'n ongeSlruktureerde probleemomgewing mag betekenisvolle voordele inhou.
Die "financial Risk diagnostic EXpert System (REXS" konsentreer op fmansiele risiko-analise. Uitgaande vanaf 'n Vooruitskattingsmode~ en deur gebruik te maak van verskeie ekspertstelselkennisbasisse, poog die stelsel om die fmansiele risiko van 'n onderneming te evalueer en riglyne vir moontlike verbetering

Psychological scaling of expert estimates of human error probabilities: application to nuclear power plant operation

International Nuclear Information System (INIS)

Comer, K.; Gaddy, C.D.; Seaver, D.A.; Stillwell, W.G.

1985-01-01

The US Nuclear Regulatory Commission and Sandia National Laboratories sponsored a project to evaluate psychological scaling techniques for use in generating estimates of human error probabilities. The project evaluated two techniques: direct numerical estimation and paired comparisons. Expert estimates were found to be consistent across and within judges. Convergent validity was good, in comparison to estimates in a handbook of human reliability. Predictive validity could not be established because of the lack of actual relative frequencies of error (which will be a difficulty inherent in validation of any procedure used to estimate HEPs). Application of expert estimates in probabilistic risk assessment and in human factors is discussed

Guidance, navigation, and control subsystem equipment selection algorithm using expert system methods

Science.gov (United States)

Allen, Cheryl L.

1991-01-01

Enhanced engineering tools can be obtained through the integration of expert system methodologies and existing design software. The application of these methodologies to the spacecraft design and cost model (SDCM) software provides an improved technique for the selection of hardware for unmanned spacecraft subsystem design. The knowledge engineering system (KES) expert system development tool was used to implement a smarter equipment section algorithm than that which is currently achievable through the use of a standard data base system. The guidance, navigation, and control subsystems of the SDCM software was chosen as the initial subsystem for implementation. The portions of the SDCM code which compute the selection criteria and constraints remain intact, and the expert system equipment selection algorithm is embedded within this existing code. The architecture of this new methodology is described and its implementation is reported. The project background and a brief overview of the expert system is described, and once the details of the design are characterized, an example of its implementation is demonstrated.

Online-Expert: An Expert System for Online Database Selection.

Science.gov (United States)

Zahir, Sajjad; Chang, Chew Lik

1992-01-01

Describes the design and development of a prototype expert system called ONLINE-EXPERT that helps users select online databases and vendors that meet users' needs. Search strategies are discussed; knowledge acquisition and knowledge bases are described; and the Analytic Hierarchy Process (AHP), a decision analysis technique that ranks databases,…

Incorporating ''fuzzy'' data and logical relations in the design of expert systems for nuclear reactors

International Nuclear Information System (INIS)

Guth, M.A.S.

1987-01-01

This paper applies the method of assigning probability in Dempster-Shafer Theory (DST) to the components of rule-based expert systems used in the control of nuclear reactors. Probabilities are assigned to premises, consequences, and rules themselves. This paper considers how uncertainty can propagate through a system of Boolean equations, such as fault trees or expert systems. The probability masses assigned to primary initiating events in the expert system can be derived from observing a nuclear reactor in operation or based on engineering knowledge of the reactor parts. Use of DST mass assignments offers greater flexibility to the construction of expert systems

Application of expert elicitation techniques in human reliability, assessment

International Nuclear Information System (INIS)

Sanyasi Rao, V.V.S.; Saraf, R.K.; Ghosh, A.K.; Kushwaha, H.S.

2006-01-01

Expert elicitation techniques are being used, in the area of technological forecasting, in estimating data needed for analysis when it is either difficult to arrive at the data by experimental means or when it is quite involved to plan and conduct the experiment. In this study, expert elicitation techniques are applied to the evaluation of the frequencies of the various accident sequences that can result from the initiating event (IE) 'High Pressure Process Water (HPPW) system failure' in typical Indian Pressurised Heavy Water Reactor (IPHWR) of the older generation. The Operating Procedure under Emergency Conditions (OPEC) for this IE involves human actions according to a pre-defined procedure. The Human Error Probabilities for all these human actions are obtained using expert elicitation techniques. These techniques aim at eliciting the opinion of the experts in the area of interest with regard to the issue in question. The uncertainty is analysed by employing the measure of dissonance and the most probable range of human error probabilities are arrived at by maximizing this measure. These values are combined using the same procedures mentioned above to yield a distribution representing the uncertainty associated with the predictions. (author)

Being an expert

International Nuclear Information System (INIS)

Brechet, Y.; Musseau, O.; Bruna, G.; Sperandio, M.; Roulleaux-Dugage, M.; Andrieux, S.; Metteau, L.

2014-01-01

This series of short articles are dedicated to the role of the expert in the enterprise. There is an important difference between a scientific counsellor and an expert, the expert, recognized by his peers, can speak publicly in his field of expertise but has a duty of transparency while the job of a scientific counsellor requires confidentiality. The making and the use of an expert in an enterprise requires a dedicated organization. The organization of the expertise in 5 enterprises in nuclear industry are considered: CEA (French Alternative Energies and Atomic Energy Commission), IRSN (Institute of Radioprotection and Nuclear Safety), AREVA, ANDRA (National Radioactive Waste Management Agency) and EDF (Electricity of France)

An expert judgment model applied to estimating the safety effect of a bicycle facility.

Science.gov (United States)

Leden, L; Gårder, P; Pulkkinen, U

2000-07-01

This paper presents a risk index model that can be used for assessing the safety effect of countermeasures. The model estimates risk in a multiplicative way, which makes it possible to analyze the impact of different factors separately. Expert judgments are incorporated through a Bayesian error model. The variance of the risk estimate is determined by Monte-Carlo simulation. The model was applied to assess the safety effect of a new design of a bicycle crossing. The intent was to gain safety by raising the crossings to reduce vehicle speeds and by making the crossings more visible by painting them in a bright color. Before the implementations, bicyclists were riding on bicycle crossings of conventional Swedish type, i.e. similar to crosswalks but delineated by white squares rather than solid lines or zebra markings. Automobile speeds were reduced as anticipated. However, it seems as if the positive effect of this was more or less canceled out by increased bicycle speeds. The safety per bicyclist was still improved by approximately 20%. This improvement was primarily caused by an increase in bicycle flow, since the data show that more bicyclists at a given location seem to benefit their safety. The increase in bicycle flow was probably caused by the new layout of the crossings since bicyclists perceived them as safer and causing less delay. Some future development work is suggested. Pros and cons with the used methodology are discussed. The most crucial parameter to be added is probably a model describing the interaction between motorists and bicyclists, for example, how risk is influenced by the lateral position of the bicyclist in relation to the motorist. It is concluded that the interaction seems to be optimal when both groups share the roadway.

Expert Systems Based Clinical Assessment and Tutorial Project.

Science.gov (United States)

Papa, Frank; Shores, Jay

This project at the Texas College of Osteopathic Medicine (Fort Worth) evaluated the use of an artificial-intelligence-derived measure, "Knowledge-Based Inference Tool" (KBIT), as the basis for assessing medical students' diagnostic capabilities and designing instruction to improve diagnostic skills. The instrument was designed to…

A Formal Definition for Expert Systems used in Real-time Applications

Directory of Open Access Journals (Sweden)

Vasile MAZILESCU

2015-05-01

Full Text Available The present paper is situated on the grounds of research in the field of symbolic Artificial Intelligence systems, applied to the new Knowledge Management Systems. The basic feature of these systems is represented by the processing of the fuzzy knowledge involved in the synthesis of some decisions. The work reported in this paper serves to promote an Intelligent System that can operate in dynamic and uncertain environments based on a formal definition of an expert system. We can develop and justify thus a series of modelling and design techniques for Intelligent Knowledge Management Systems (IKMS, as well as methods for the analysis of expert systems performance, and, of a fuzzy expert system in particular, between which there are strong similarities. We will also outline a number of differences between conventional problem solving systems and IKMS, the links between expert systems and those of structural and functional planning, the analogy between the model of the problem or business process and the problem domain.

RISK REDUCTION WITH A FUZZY EXPERT EXPLORATION TOOL

Energy Technology Data Exchange (ETDEWEB)

William W. Weiss

2000-06-30

Incomplete or sparse information on geologic or formation characteristics introduces a high level of risk for oil exploration and development projects. Expert systems have been developed and used in several disciplines and industries, including medical diagnostics, with favorable results. A state-of-the-art exploration ''expert'' tool, relying on a computerized data base and computer maps generated by neural networks, is proposed through the use of ''fuzzy'' logic, a relatively new mathematical treatment of imprecise or non-explicit parameters and values. This project will develop an Artificial Intelligence system that will draw upon a wide variety of information to provide realistic estimates of risk. ''Fuzzy logic,'' a system of integrating large amounts of inexact, incomplete information with modern computational methods to derive usable conclusions, has been demonstrated as a cost-effective computational technology in many industrial applications. During project year 1, 90% of geologic, geophysical, production and price data were assimilated for installation into the database. Logs provided geologic data consisting of formation tops of the Brushy Canyon, Lower Brushy Canyon, and Bone Springs zones of 700 wells used to construct regional cross sections. Regional structure and isopach maps were constructed using kriging to interpolate between the measured points. One of the structure derivative maps (azimuth of curvature) visually correlates with Brushy Canyon fields on the maximum change contours. Derivatives of the regional geophysical data also visually correlate with the location of the fields. The azimuth of maximum dip approximately locates fields on the maximum change contours. In a similar manner the second derivative in the x-direction of the gravity map visually correlates with the alignment of the known fields. The visual correlations strongly suggest that neural network architectures will be

Aspects of the role of scientific-technical expert knowledge in administrative court procedures on licensing of large technical projects

International Nuclear Information System (INIS)

Wagner, H.

1983-01-01

On the basis of atomic energy law, the author explains some specific problems associated with the respective roles of experts (or expert bodies) and courts of law. In legal theory, it is comparatively easy to draw the line between the two functions, but in practice this delimination meets with difficulties. Finally, the author proposes to improve the definitions of the respective functions of experts (expert bodies) and courts of law in procedures dealing with permits of large technical facilities as follows: A highly qualified, independent body of experts in a technically representative composition lays down, in a binding way, the main elements of the safety standard of a specific plant or type of plant. The responsible administrative authority, after having examined all other legal conditions, grants the permit for that plant. There are no objections to such a model in the light either of aspects of constitutional law or of legal policy or constitutional policy, not are there any practical reasons against this approach. The only doubtful aspect is the present political feasibility. (orig.) [de

What is an expert? A systems perspective on expertise

Science.gov (United States)

Caley, Michael Julian; O'Leary, Rebecca A; Fisher, Rebecca; Low-Choy, Samantha; Johnson, Sandra; Mengersen, Kerrie

2014-01-01

Expert knowledge is a valuable source of information with a wide range of research applications. Despite the recent advances in defining expert knowledge, little attention has been given to how to view expertise as a system of interacting contributory factors for quantifying an individual's expertise. We present a systems approach to expertise that accounts for many contributing factors and their inter-relationships and allows quantification of an individual's expertise. A Bayesian network (BN) was chosen for this purpose. For illustration, we focused on taxonomic expertise. The model structure was developed in consultation with taxonomists. The relative importance of the factors within the network was determined by a second set of taxonomists (supra-experts) who also provided validation of the model structure. Model performance was assessed by applying the model to hypothetical career states of taxonomists designed to incorporate known differences in career states for model testing. The resulting BN model consisted of 18 primary nodes feeding through one to three higher-order nodes before converging on the target node (Taxonomic Expert). There was strong consistency among node weights provided by the supra-experts for some nodes, but not others. The higher-order nodes, “Quality of work” and “Total productivity”, had the greatest weights. Sensitivity analysis indicated that although some factors had stronger influence in the outer nodes of the network, there was relatively equal influence of the factors leading directly into the target node. Despite the differences in the node weights provided by our supra-experts, there was good agreement among assessments of our hypothetical experts that accurately reflected differences we had specified. This systems approach provides a way of assessing the overall level of expertise of individuals, accounting for multiple contributory factors, and their interactions. Our approach is adaptable to other situations where it

Developing a Web-Based Advisory Expert System for Implementing Traffic Calming Strategies

Directory of Open Access Journals (Sweden)

Amir Falamarzi

2014-01-01

Full Text Available Lack of traffic safety has become a serious issue in residential areas. In this paper, a web-based advisory expert system for the purpose of applying traffic calming strategies on residential streets is described because there currently lacks a structured framework for the implementation of such strategies. Developing an expert system can assist and advise engineers for dealing with traffic safety problems. This expert system is developed to fill the gap between the traffic safety experts and people who seek to employ traffic calming strategies including decision makers, engineers, and students. In order to build the expert system, examining sources related to traffic calming studies as well as interviewing with domain experts have been carried out. The system includes above 150 rules and 200 images for different types of measures. The system has three main functions including classifying traffic calming measures, prioritizing traffic calming strategies, and presenting solutions for different traffic safety problems. Verifying, validating processes, and comparing the system with similar works have shown that the system is consistent and acceptable for practical uses. Finally, some recommendations for improving the system are presented.

Expert auditors’ services classification

OpenAIRE

Jolanta Wisniewska

2013-01-01

The profession of an expert auditor is a public trust occupation with a distinctive feature of taking responsibility for actions in the public interest. The main responsibility of expert auditors is performing financial auditing; however, expert auditors are prepared to carry out different tasks which encompass a wide plethora of financial and auditing services for different kinds of institutions and companies. The aim of the article is first of all the description of expert auditors’ service...

Registration of qualified radiation protection experts in the Netherlands

International Nuclear Information System (INIS)

Abrahamse, J.C.; Kops, J.A.M.M.; Vermeulen, A.M.T.I.; Zuur, C.

2002-01-01

In Euratom Directive 96/29 (1) the Euratom Basic Safety Standards are given. The member states of the EC have to implement this directive in their national legislation. In the Netherlands this is done in the new radiation protection legislation (Radiation Protection Decree 2002 (2)), which came into force in the first half of 2002. In this new regulation is stated that radiological activities must be done by or under supervision of a qualified radiation protection expert. With respect to the qualified expert is stated that: the qualified expert must be registered in a notified registration system; rules will be formulated with respect to the demanded qualification levels of the experts. These demands can be different for different tasks rules will be formulated for the notification of the register, the way to become registered, the costs and so on. Mid 2001 a project is started to prepare the registration system. Information was gained from and discussions took place with the important parties on the radiological playing field in the Netherlands (employers, organisations of experts and education institutes). Furthermore information is obtained from certification institutes. It was decided to accept as starting point the education levels obtained from the radiation protection education institutes, which are approved at the moment. At a later phase will be evaluated whether this system needs to be changed. In section 2 of this paper the radiation protection system in the Netherlands will be discussed in more detail. Section 2 deals with the target group and in section 3 the outlines of the registration system to be developed are discussed

RISK MANAGEMENT AUTOMATION OF SOFTWARE PROJECTS BASED ОN FUZZY INFERENCE

Directory of Open Access Journals (Sweden)

T. M. Zubkova

2015-09-01

Full Text Available Application suitability for one of the intelligent methods for risk management of software projects has been shown based on the review of existing algorithms for fuzzy inference in the field of applied problems. Information sources in the management of software projects are analyzed; major and minor risks are highlighted. The most critical parameters have been singled out giving the possibility to estimate the occurrence of an adverse situations (project duration, the frequency of customer’s requirements changing, work deadlines, experience of developers’ participation in such projects and others.. The method of qualitative fuzzy description based on fuzzy logic has been developed for analysis of these parameters. Evaluation of possible situations and knowledge base formation rely on a survey of experts. The main limitations of existing automated systems have been identified in relation to their applicability to risk management in the software design. Theoretical research set the stage for software system that makes it possible to automate the risk management process for software projects. The developed software system automates the process of fuzzy inference in the following stages: rule base formation of the fuzzy inference systems, fuzzification of input variables, aggregation of sub-conditions, activation and accumulation of conclusions for fuzzy production rules, variables defuzzification. The result of risk management automation process in the software design is their quantitative and qualitative assessment and expert advice for their minimization. Practical significance of the work lies in the fact that implementation of the developed automated system gives the possibility for performance improvement of software projects.

Expert Oracle RAC 12c

CERN Document Server

Shamsudeen, Riyaj; Yu, Kai; Farooq, Tariq

2013-01-01

Expert Oracle RAC 12c is a hands-on book helping you understand and implement Oracle Real Application Clusters (RAC), and to reduce the total-cost-of-ownership (TCO) of a RAC database. As a seasoned professional, you are probably aware of the importance of understanding the technical details behind the RAC stack. This book provides deep understanding of RAC concepts and implementation details that you can apply toward your day-to-day operational practices. You'll be guided in troubleshooting and avoiding trouble in your installation. Successful RAC operation hinges upon a fast-performing netwo

Expert Meeting Report: Retrofit Implementation - A Neighborhood at a Time

Energy Technology Data Exchange (ETDEWEB)

Griffiths, Dianne [Consortium for Advanced Residential Buildings (CARB), Norwalk, CT (United States)

2012-04-01

This report provides information about a Building America expert meeting hosted by research team Consortium for Advanced Residential Buildings (CARB) on October 25, 2011, in New York City. The meeting discussed several community residential retrofit projects underway across the United States, and included representatives from utilities, energy program implementation firms, affordable housing agencies, and the financing industry.

Expert Meeting Report: Retrofit Implementation - A Neighborhood at a Time

Energy Technology Data Exchange (ETDEWEB)

Griffiths, D.

2012-04-01

This report provides information about a Building America expert meeting hosted by research team Consortium for Advanced Residential Buildings on October 25, 2011, in New York City. The meeting discussed several community residential retrofit projects underway across the United States, and included representatives from utilities, energy program implementation firms, affordable housing agencies, and the financing industry.

"The Boy in the Dress": Queering Mantle of the Expert

Science.gov (United States)

Terret, Liselle

2013-01-01

In this paper I offer a queer analysis of several key moments during a Mantle of the Expert (MoE) project that resulted in Year 5 children creating performances and engaging with heightened versions of gendered femininity in their primary school. I will refer to theoretical notions of transvestism as a means of challenging the notions of binarism,…

Investigation of Professional Readiness of Selected Male and Female Experts in Iranian Sports Organizations

Directory of Open Access Journals (Sweden)

Samira ALIABADI

2015-03-01

Full Text Available This study aims to investigate professional readiness of a selected group of male and female experts in Iranian sports organizations. It is a descriptive study with an applied objective. The statistical population of the study includes the entire selected male and female experts (406 experts of Iranian sports organizations among which 352 cases cooperated with the researchers and therefore were selected as research sample. Measurement tool is the professional readiness assessment standard questionnaire (Aliabadi, 2014; the validity and reliability of this questionnaire have been approved by sport experts. The descriptive and inferential statistics including KS- and T-test was used to analyze the data. The results indicate that there is no significant difference between male and female experts in sports organizations regarding mental readiness and its components (motivation, commitment, confidence; but there is a significant difference at 0.01 level between them with regard to work readiness and its components (skill, knowledge, experience. Moreover, based on the average of work/technical readiness components, male experts are better than female experts.

The Design and Implementation of an Intelligent Apparel Recommend Expert System

Directory of Open Access Journals (Sweden)

A. H. Dong

2013-01-01

Full Text Available Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.

Expert-novice differences in cognitive and execution skills during tennis competition.

Science.gov (United States)

Del Villar, Fernando; García González, Luis; Iglesias, Damián; Perla Moreno, M; Cervelló, Eduardo M

2007-04-01

This study deals with decision and execution behavior of tennis players during competition. The study is based on the expert-novice paradigm and aims to identify differences between both groups in the decision-making and execution variables in serve and shot actions in tennis. Six expert players (elite Spanish tennis players) and six novice players (grade school tennis players) took part in this study. To carry out this study, the observation protocol defined by McPherson and Thomas in 1989, in which control, decision-making and execution variables were included, was used, where it was applied to the performance of the tennis player in a real match situation. In the analysis, significant differences between experts and novices in decision-making and execution variables are found wherein it can be observed that experts display a greater ability to make the appropriate decisions, selecting the most tactical responses to put pressure on the opponent. Expert tennis players were also able to carry out forceful executions to their opponent with greater efficiency, making the opponent's response to a large extent more difficult. These findings are in accordance with those of McPherson and colleagues.

Expert system applications to nuclear plant for enhancement of productivity and performance

International Nuclear Information System (INIS)

Sun, B.; Cain, D.; Naser, J.; Colley, R.; Hirota, N.

1988-01-01

Expert systems, a major essence of the artificial intelligence (AI) technology, are referred to as computer software and hardware systems which are designed to capture and emulate the knowledge, reasoning, judgment, and to store the expertise of humans. Two parallel efforts are being performed at the Electric Power Research Institute (EPRI) to help the electric utility industry take advantage of the expert system technology. The first effort is the development of expert system building tools which are tailored to electric utility industry applications. The second effort is the development of expert system application prototypes. These two efforts complement each other. The application development tests the tools and identifies additional tool capabilities which are required. The tool development helps define the applications which can be successfully developed. This paper summarizes a number of research projects which are being performed at EPRI in both the areas of expert system building tool development and expert system applications to operations and maintenance. The AI technology as demonstrated by the development is being established as a credible technological tool for the electric utility industry. A challenge to transferring the expert systems technology to the utility industry is to gain utility users' acceptance of this modern information technology. To achieve successful technology transfer, the technology developers need to (1) understand the problems which can be addressed successfully using AI technology, (2) involve with users throughout the development and testing phases, and (3) demonstrate the benefits of the technology by the users

Expert system for economic evaluation of technological projects

Directory of Open Access Journals (Sweden)

Bohumil Hlavenka

2001-01-01

Full Text Available Apart from the technical level, a basic tool for decision-making and realization of the technical innovation project is also its economic effectiveness. It is assessed by comparing expenses and effects with respect to all-society interests and standards valid in a relevant period for the areas of technology, economy, ecology, safety of work, etc.

[Project HRANAFINA--Croatian anatomical and physiological terminology].

Science.gov (United States)

Vodanović, Marin

2012-01-01

HRANAFINA--Croatian Anatomical and Physiological Terminology is a project of the University of Zagreb School of Dental Medicine funded by the Croatian Science Foundation. It is performed in cooperation with other Croatian universities with medical schools. This project has a two-pronged aim: firstly, building of Croatian anatomical and physiological terminology and secondly, Croatian anatomical and physiological terminology usage popularization between health professionals, medical students, scientists and translators. Internationally recognized experts from Croatian universities with medical faculties and linguistics experts are involved in the project. All project activities are coordinated in agreement with the National Coordinator for Development of Croatian Professional Terminology. The project enhances Croatian professional terminology and Croatian language in general, increases competitiveness of Croatian scientists on international level and facilitates the involvement of Croatian scientists, health care providers and medical students in European projects.

An integrated expert system for optimum in core fuel management

International Nuclear Information System (INIS)

Abd Elmoatty, Mona S.; Nagy, M.S.; Aly, Mohamed N.; Shaat, M.K.

2011-01-01

Highlights: → An integrated expert system constructed for optimum in core fuel management. → Brief discussion of the ESOIFM Package modules, inputs and outputs. → Package was applied on the DALAT Nuclear Research Reactor (0.5 MW). → The Package verification showed good agreement. - Abstract: An integrated expert system called Efficient and Safe Optimum In-core Fuel Management (ESOIFM Package) has been constructed to achieve an optimum in core fuel management and automate the process of data analysis. The Package combines the constructed mathematical models with the adopted artificial intelligence techniques. The paper gives a brief discussion of the ESOIFM Package modules, inputs and outputs. The Package was applied on the DALAT Nuclear Research Reactor (0.5 MW). Moreover, the data of DNRR have been used as a case study for testing and evaluation of ESOIFM Package. This paper shows the comparison between the ESOIFM Package burn-up results, the DNRR experimental burn-up data, and other DNRR Codes burn-up results. The results showed good agreement.

42 CFR 137.379 - Do Davis-Bacon wage rates apply to construction projects performed by Self-Governance Tribes...

Science.gov (United States)

2010-10-01

... projects performed by Self-Governance Tribes using Federal funds? 137.379 Section 137.379 Public Health... HEALTH AND HUMAN SERVICES TRIBAL SELF-GOVERNANCE Construction Other § 137.379 Do Davis-Bacon wage rates apply to construction projects performed by Self-Governance Tribes using Federal funds? Davis-Bacon Act...

The impact of applying product-modelling techniques in configurator projects

DEFF Research Database (Denmark)

Hvam, Lars; Kristjansdottir, Katrin; Shafiee, Sara

2018-01-01

This paper aims to increase understanding of the impact of using product-modelling techniques to structure and formalise knowledge in configurator projects. Companies that provide customised products increasingly apply configurators in support of sales and design activities, reaping benefits...... that include shorter lead times, improved quality of specifications and products, and lower overall product costs. The design and implementation of configurators are a challenging task that calls for scientifically based modelling techniques to support the formal representation of configurator knowledge. Even...... the phenomenon model and information model are considered visually, (2) non-UML-based modelling techniques, in which only the phenomenon model is considered and (3) non-formal modelling techniques. This study analyses the impact to companies from increased availability of product knowledge and improved control...

Validation of DIVA: an expert system for the diagnostic of turbo-generator vibrations

International Nuclear Information System (INIS)

Chevalier, R.; Ricard, B.; Tiarri, J.P.; Bonnet, J.C.

1990-01-01

The project presented in this paper concerns the development of an expert system dealing with the diagnosis of turbo-generator vibrations. DIVA - Diagnosis of Shaft Line Vibrations - is a joint project which is carried out by ALSTHOM, Electricite de France and Laboratoire de Marcoussis, research centre of CGE. This article first presents the organisation of the system and then the goals and results of the tests already achieved [fr

23 CFR 636.116 - What organizational conflict of interest requirements apply to design-build projects?

Science.gov (United States)

2010-04-01

... nature of the potential conflict as seen by the owner; (iii) States the nature of the proposed restraint... 23 Highways 1 2010-04-01 2010-04-01 false What organizational conflict of interest requirements... What organizational conflict of interest requirements apply to design-build projects? (a) State...

An expert system for PWR core operation management

Energy Technology Data Exchange (ETDEWEB)

Ida, Toshio; Masuda, Masahiro; Nishioka, Hiromasa

1988-01-01

Planning for restartup after planned or unplanned reactor shutdown and load-follow operations is an important task in the core operation management of pressurized water reactors (PWRs). These planning problems have been solved by planning experts using their expertise and the computational prediction of core behavior. Therefore, the quality of the plan and the time consumed in the planning depend heavily on the skillfulness of the planning experts. A knowledge engineering approach has been recently considered as a promising means to solve such complicated planning problems. Many knowledge-based systems have been developed so far, and some of them have already been applied because of their effectiveness. The expert system REPLEX has been developed to aid core management engineers in making a successful plan for the restartup or the load-follow operation of PWRs within a shorter time. It can maintain planning tasks at a high-quality level independent of the skillfulness of core management engineers and enhance the efficiency of management. REPLEX has an explanation function that helps user understanding of plans. It could be a useful took, therefore, for the training of core management engineers.

An expert system for PWR core operation management

International Nuclear Information System (INIS)

Ida, Toshio; Masuda, Masahiro; Nishioka, Hiromasa.

1988-01-01

Planning for restartup after planned or unplanned reactor shutdown and load-follow operations is an important task in the core operation management of pressurized water reactors (PWRs). These planning problems have been solved by planning experts using their expertise and the computational prediction of core behavior. Therefore, the quality of the plan and the time consumed in the planning depend heavily on the skillfulness of the planning experts. A knowledge engineering approach has been recently considered as a promising means to solve such complicated planning problems. Many knowledge-based systems have been developed so far, and some of them have already been applied because of their effectiveness. The expert system REPLEX has been developed to aid core management engineers in making a successful plan for the restartup or the load-follow operation of PWRs within a shorter time. It can maintain planning tasks at a high-quality level independent of the skillfulness of core management engineers and enhance the efficiency of management. REPLEX has an explanation function that helps user understanding of plans. It could be a useful took, therefore, for the training of core management engineers

A development process meta-model for Web based expert systems: The Web engineering point of view

DEFF Research Database (Denmark)

Dokas, I.M.; Alapetite, Alexandre

2006-01-01

raised their complexity. Unfortunately, there is so far no clear answer to the question: How may the methods and experience of Web engineering and expert systems be combined and applied in order todevelop effective and successful Web based expert systems? In an attempt to answer this question...... on Web based expert systems – will be presented. The idea behind the presentation of theaccessibility evaluation and its conclusions is to show to Web based expert system developers, who typically have little Web engineering background, that Web engineering issues must be considered when developing Web......Similar to many legacy computer systems, expert systems can be accessed via the Web, forming a set of Web applications known as Web based expert systems. The tough Web competition, the way people and organizations rely on Web applications and theincreasing user requirements for better services have...

Strategic project selection based on evidential reasoning approach for high-end equipment manufacturing industry

Directory of Open Access Journals (Sweden)

Lu Guangyan

2017-01-01

Full Text Available With the rapid development of science and technology, emerging information technologies have significantly changed the daily life of people. In such context, strategic project selection for high-end equipment manufacturing industries faces more and more complexities and uncertainties with the consideration of several complex criteria. For example, a group of experts rather than a single expert should be invited to select strategic project for high-end equipment manufacturing industries and the experts may feel difficulty to express their preferences towards different strategic projects due to their limited cognitive capabilities. In order to handle these complexities and uncertainties, the criteria framework of strategic project selection is firstly constructed based on the characteristics of high-end equipment manufacturing industries and then evidential reasoning (ER approach is introduced in this paper to help experts express their uncertain preferences and aggregate these preferences to generate an appropriate strategic project. A real case of strategic project selection in a high-speed train manufacturing enterprise is investigated to demonstrate the validity of the ER approach in solving strategic project selection problem.

Delegating Decisions to Experts

Science.gov (United States)

Li, Hao; Suen, Wing

2004-01-01

We present a model of delegation with self-interested and privately informed experts. A team of experts with extreme but opposite biases is acceptable to a wide range of decision makers with diverse preferences, but the value of expertise from such a team is low. A decision maker wants to appoint experts who are less partisan than he is in order…

Expert System for the LHC CMS Cathode Strip Chambers (CSC) detector

Energy Technology Data Exchange (ETDEWEB)

Rapsevicius, Valdas, E-mail: valdas.rapsevicius@cern.ch [Fermi National Accelerator Laboratory, Batavia, IL (United States); Vilnius University, Didlaukio g. 47-325, LT-08303 Vilnius (Lithuania); Juska, Evaldas, E-mail: evaldas.juska@cern.ch [Fermi National Accelerator Laboratory, Batavia, IL (United States)

2014-02-21

Modern High Energy Physics experiments are of high demand for a generic and consolidated solution to integrate and process high frequency data streams by applying experts' knowledge and inventory configurations. In this paper we present the Expert System application that was built for the Compact Muon Solenoid (CMS) Cathode Strip Chambers (CSC) detector at the Large Hadron Collider (LHC) aiming to support the detector operations and to provide integrated monitoring. The main building blocks are the integration platform, rule-based complex event processing engine, ontology-based knowledge base, persistent storage and user interfaces for results and control.

Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber

International Nuclear Information System (INIS)

Acciarri, R.; Adams, C.; An, R.; Asaadi, J.; Auger, M.

2017-01-01

Here, we present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. Lastly, we also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.

Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber

Energy Technology Data Exchange (ETDEWEB)

Acciarri, R.; Adams, C.; An, R.; Asaadi, J.; Auger, M.; Bagby, L.; Baller, B.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Bugel, L.; Camilleri, L.; Caratelli, D.; Carls, B.; Fernandez, R. Castillo; Cavanna, F.; Chen, H.; Church, E.; Cianci, D.; Collin, G. H.; Conrad, J. M.; Convery, M.; Crespo-Anad?n, J. I.; Del Tutto, M.; Devitt, D.; Dytman, S.; Eberly, B.; Ereditato, A.; Sanchez, L. Escudero; Esquivel, J.; Fleming, B. T.; Foreman, W.; Furmanski, A. P.; Garvey, G. T.; Genty, V.; Goeldi, D.; Gollapinni, S.; Graf, N.; Gramellini, E.; Greenlee, H.; Grosso, R.; Guenette, R.; Hackenburg, A.; Hamilton, P.; Hen, O.; Hewes, J.; Hill, C.; Ho, J.; Horton-Smith, G.; James, C.; de Vries, J. Jan; Jen, C. -M.; Jiang, L.; Johnson, R. A.; Jones, B. J. P.; Joshi, J.; Jostlein, H.; Kaleko, D.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; Laube, A.; Li, Y.; Lister, A.; Littlejohn, B. R.; Lockwitz, S.; Lorca, D.; Louis, W. C.; Luethi, M.; Lundberg, B.; Luo, X.; Marchionni, A.; Mariani, C.; Marshall, J.; Caicedo, D. A. Martinez; Meddage, V.; Miceli, T.; Mills, G. B.; Moon, J.; Mooney, M.; Moore, C. D.; Mousseau, J.; Murrells, R.; Naples, D.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papavassiliou, V.; Pate, S. F.; Pavlovic, Z.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J. L.; Rafique, A.; Rochester, L.; von Rohr, C. Rudolf; Russell, B.; Schmitz, D. W.; Schukraft, A.; Seligman, W.; Shaevitz, M. H.; Sinclair, J.; Snider, E. L.; Soderberg, M.; S?ldner-Rembold, S.; Soleti, S. R.; Spentzouris, P.; Spitz, J.; St. John, J.; Strauss, T.; Szelc, A. M.; Tagg, N.; Terao, K.; Thomson, M.; Toups, M.; Tsai, Y. -T.; Tufanli, S.; Usher, T.; Van de Water, R. G.; Viren, B.; Weber, M.; Weston, J.; Wickremasinghe, D. A.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Zeller, G. P.; Zennamo, J.; Zhang, C.

2017-03-01

We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.

Application of expert systems

Energy Technology Data Exchange (ETDEWEB)

Basden, A

1983-11-01

This article seeks to bring together a number of issues relevant to the application of expert systems by discussing their advantages and limitations, their roles and benefits, and the influence that real-life applications might have on the design of expert systems software. Part of the expert systems strategy of one major chemical company is outlined. Because it was in constructing one particular expert system that many of these issues became important this system is described briefly at the start of the paper and used to illustrate much of the later discussion. It is of the plausible-inference type and has application in the field of materials engineering. 22 references.

Counselor Expert System | Debretsion | Zede Journal

African Journals Online (AJOL)

An expert system plays an important role on alleviating primarily shortage of experts in a specific area of interest. With the help of an expert system, personnel with little expertise can solve problems that require expert knowledge. In this paper all major aspects of an expert system development have been presented.

Expert assessment of the current state of the energy management system in the company

Science.gov (United States)

Minnullina, Anna; Abdrazakov, Rais

2017-10-01

The authors’ expert assessment of the current state of the energy management system in the company is proposed in the article. The experts are invited to assess the status of the energy management system in the following categories: energy policy, organizational structure, training, motivation, control, communication, investment, and energy consumption culture. For the purposes of interpretation of the results of the expert evaluation obtained, a gradation based on a possible range of values is proposed. The expert evaluation allows representing the status of the energy management system in general and at each of its individual levels, which makes it possible to identify the problem areas more accurately. To confirm the applied nature of the proposed methodology, the authors assessed the opinions of 8 experts, employed by the road construction company of the Tyumen Region and related in one way or another to the process of energy consumption in the company due to the nature of their activities.

The effects of team expert choice on group decision-making in collaborative new product development; a pilot study

NARCIS (Netherlands)

Hummel, J. Marjan; van Rossum, Wouter; Verkerke, Gijsbertus Jacob; Rakhorst, G.

2000-01-01

This study analyses the effects of Team Expert Choice on group decision-making in collaborative new product development. We applied Team Expert Choice to support a product evaluation conducted by a new product development group composed of professionally diverse members. The evaluation resulted in

Applying a life cycle approach to project management methods

OpenAIRE

Biggins, David; Trollsund, F.; Høiby, A.L.

2016-01-01

Project management is increasingly important to organisations because projects are the method\\ud by which organisations respond to their environment. A key element within project management\\ud is the standards and methods that are used to control and conduct projects, collectively known as\\ud project management methods (PMMs) and exemplified by PRINCE2, the Project Management\\ud Institute’s and the Association for Project Management’s Bodies of Knowledge (PMBOK and\\ud APMBOK. The purpose of t...

Lay Evaluation of Financial Experts: The Action Advice Effect and Confirmation Bias.

Science.gov (United States)

Zaleskiewicz, Tomasz; Gasiorowska, Agata; Stasiuk, Katarzyna; Maksymiuk, Renata; Bar-Tal, Yoram

2016-01-01

The goal of this experimental project was to investigate lay peoples' perceptions of epistemic authority (EA) in the field of finance. EA is defined as the extent to which a source of information is treated as evidence for judgments independently of its objective expertise and based on subjective beliefs. Previous research suggested that EA evaluations are biased and that lay people tend to ascribe higher EA to experts who advise action (in the case of medical experts) or confirm clients' expectations (in the case of politicians). However, there has been no research into biases in lay evaluations of financial experts and this project is aimed to fill this gap. Experiment 1 showed that lay people tended to ascribe greater authority to financial consultants who gave more active advice to clients considering taking out a mortgage. Experiment 2 confirmed the action advice effect found in Experiment 1. However, the outcomes of Experiments 2 and - particularly - 3 suggested that this bias might also be due to clients' desire to confirm their own opinions. Experiment 2 showed that the action advice effect was moderated by clients' own opinions on taking loans. Lay people ascribed the greatest EA to the advisor in the scenario in which he advised taking action and where this coincided with the client's positive opinion on the advisability of taking out a loan. In Experiment 3 only participants with a positive opinion on the financial product ascribed greater authority to experts who recommended it; participants whose opinion was negative tended to rate consultants who advised rejecting the product more highly. To conclude, these three experiments revealed that lay people ascribe higher EA to financial consultants who advise action rather than maintenance of the status quo , but this effect is limited by confirmation bias: when the client's a priori opinion is salient, greater authority is ascribed to experts whose advice confirms it. In this sense, results presented in the

Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods

DEFF Research Database (Denmark)

Warby, Simon C.; Wendt, Sabrina Lyngbye; Welinder, Peter

2014-01-01

to crowdsource spindle identification by human experts and non-experts, and we compared their performance with that of automated detection algorithms in data from middle- to older-aged subjects from the general population. We also refined methods for forming group consensus and evaluating the performance...... of event detectors in physiological data such as electroencephalographic recordings from polysomnography. Compared to the expert group consensus gold standard, the highest performance was by individual experts and the non-expert group consensus, followed by automated spindle detectors. This analysis showed...... that crowdsourcing the scoring of sleep data is an efficient method to collect large data sets, even for difficult tasks such as spindle identification. Further refinements to spindle detection algorithms are needed for middle- to older-aged subjects....

A Strategic Project Appraisal framework for ecologically sustainable urban infrastructure

International Nuclear Information System (INIS)

Morrissey, John; Iyer-Raniga, Usha; McLaughlin, Patricia; Mills, Anthony

2012-01-01

Actors in the built environment are progressively considering environmental and social issues alongside functional and economic aspects of development projects. Infrastructure projects represent major investment and construction initiatives with attendant environmental, economic and societal impacts across multiple scales. To date, while sustainability strategies and frameworks have focused on wider national aspirations and strategic objectives, they are noticeably weak in addressing micro-level integrated decision making in the built environment, particularly for infrastructure projects. The proposed approach of this paper is based on the principal that early intervention is the most cost-effective and efficient means of mitigating the environmental effects of development projects, particularly macro infrastructure developments. A strategic overview of the various project alternatives, taking account for stakeholder and expert input, could effectively reduce project impacts/risks at low cost to the project developers but provide significant benefit to wider communities, including communities of future stakeholders. This paper is the first exploratory step in developing a more systematic framework for evaluating strategic alternatives for major metropolitan infrastructure projects, based on key sustainability principles. The developed Strategic Project Appraisal (SPA) framework, grounded in the theory of Strategic Environmental Assessment (SEA), provides a means of practically appraising project impacts and alternatives in terms of quantified ecological limits; addresses the neglected topic of metropolitan infrastructure as a means of delivering sustainability outcomes in the urban context and more broadly, seeks to open a debate on the potential for SEA methodology to be more extensively applied to address sustainability challenges in the built environment. Practically applied and timed appropriately, the SPA framework can enable better decision-making and more

Surgical experts: born or made?

Science.gov (United States)

Sadideen, Hazim; Alvand, Abtin; Saadeddin, Munir; Kneebone, Roger

2013-01-01

The concept of surgical expertise and the processes involved in its development are topical, and there is a constant drive to identify reliable measures of expert performance in surgery. This review explores the notion of whether surgical experts are "born" or "made", with reference to educational theory and pertinent literature. Peer-reviewed publications, books, and online resources on surgical education, expertise and training were reviewed. Important themes and aspects of expertise acquisition were identified in order to better understand the concept of a surgical expert. The definition of surgical expertise and several important aspects of its development are highlighted. Innate talent plays an important role, but is insufficient on its own to produce a surgical expert. Multiple theories that explore motor skill acquisition and memory are relevant, and Ericsson's theory of the development of competence followed by deliberate self-practice has been especially influential. Psychomotor and non-technical skills are necessary for progression in the current climate in light of our training curricula; surgical experts are adaptive experts who excel in these. The literature suggests that surgical expertise is reached through practice; surgical experts are made, not born. A deeper understanding of the nature of expert performance and its development will ensure that surgical education training programmes are of the highest possible quality. Surgical educators should aim to develop an expertise-based approach, with expert performance as the benchmark. Copyright © 2013 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

Law for nuclear experts only

Energy Technology Data Exchange (ETDEWEB)

Wagner, H [Kernforschungszentrum Karlsruhe G.m.b.H. (Germany, F.R.)

1980-02-01

The Federal Ministry of the Interior is preparing an ordinance on expert consultants under the Atomic Energy Act which, among other topics, is to include legal norms for the criteria to be met by experts in terms of non-partisanship, training, capabilities, technical equipment and cooperation in expert organizations of members of various scientific and technical disciplines. A summary of general criteria relating to the qualification, selection and status of experts called in by the legislative and executive branches and by courts of law, which could be organized as a series of guidelines without any original qualities of legal norms, could be recommended in view of the increasing quantitative and qualitative importance of experts. However, passing an ordinance merely fixing and putting into concrete terms the image of an 'expert under the Atomic Energy Act' is intolerable, because the status of scientific and technical experts by far extends beyond the field of nuclear law in our industrial society characterized by a far reaching division of labor. Weak points in the organization of expert services are not confined to technology or nuclear power. Separate rules establishing legal norms are not convincing also for reasons of technology policy and legal policy as well as for those of social psychology and practice.

Computing with words to feasibility study of software projects

Directory of Open Access Journals (Sweden)

Marieta Peña Abreu

2017-02-01

Full Text Available Objective: This paper proposes a method to analyze the technical, commercial and social feasibility of software projects in environments of uncertainty. It allows working with multiple experts and multiple criteria and facilitates decision-making. Method: The proposal contains two phases, first the necessary information is collected and in second place projects are evaluated using 2-tuple linguistic representation model. The experts are selected by analyzing their curricular synthesis. The evaluation criteria are defined using the technique Focus Group and weighted in the interval (0,1 according to their importance. three domains are offered to express the preferences: numeric, interval-valued and linguistic. For aggregation extended arithmetic mean and weighted average extended are used, preventing the loss of information. A 2-tuple (feasibility, precision is obtained as a result for each project. Results: The evaluation of P1 project was a very high feasibility with -0,33 of precision. The P2 project obtained a high feasibility with 0,38 of precision and P3 project achieved a medium feasibility with -0,21 of precision. Conclusions: This method is favorable for software projects feasibility analysis with presence of multiple experts and criteria, in environments of uncertainty. It tries heterogeneous assessments without loss of information. Their results are consistent and useful for decision makers.

Expert Systems for the Analytical Laboratory.

Science.gov (United States)

de Monchy, Allan R.; And Others

1988-01-01

Discusses two computer problem solving programs: rule-based expert systems and decision analysis expert systems. Explores the application of expert systems to automated chemical analyses. Presents six factors to consider before using expert systems. (MVL)

Assessing Residents' Readiness for OR Autonomy: A Qualitative Descriptive Study of Expert Surgical Teachers' Best Practices.

Science.gov (United States)

Chen, Xiaodong Phoenix; Sullivan, Amy M; Alseidi, Adnan; Kwakye, Gifty; Smink, Douglas S

Providing resident autonomy in the operating room (OR) is one of the major challenges for surgical educators today. The purpose of this study was to explore what approaches expert surgical teachers use to assess residents' readiness for autonomy in the OR. We particularly focused on the assessments that experts make prior to conducting the surgical time-out. We conducted semistructured in-depth interviews with expert surgical teachers from March 2016 to September 2016. Purposeful sampling and snowball sampling were applied to identify and recruit expert surgical teachers from general surgery residency programs across the United States to represent a range of clinical subspecialties. All interviews were audio-recorded, deidentified, and transcribed. We applied the Framework Method of content analysis, discussed and reached final consensus on the themes. We interviewed 15 expert teachers from 9 institutions. The majority (13/15) were Program or Associate Program Directors; 47% (7/15) primarily performed complex surgical operations (e.g., endocrine surgery). Five themes regarding how expert surgical teachers determine residents' readiness for OR autonomy before the surgical time-out emerged. These included 3 domains of evidence elicited about the resident (resident characteristics, medical knowledge, and beyond the current OR case), 1 variable relating to attending characteristics, and 1 variable composed of contextual factors. Experts obtained one or more examples of evidence, and adjusted residents' initial autonomy using factors from the attending variable and the context variable. Expert surgical teachers' assessments of residents' readiness for OR autonomy included 5 key components. Better understanding these inputs can contribute to both faculty and resident development, enabling increased resident autonomy and preparation for independent practice. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Dealing with project complexity by matrix-based propagation modelling for project risk analysis

OpenAIRE

Fang , Chao; Marle , Franck

2012-01-01

International audience; Engineering projects are facing a growing complexity and are thus exposed to numerous and interdependent risks. In this paper, we present a quantitative method for modelling propagation behaviour in the project risk network. The construction of the network requires the involvement of the project manager and related experts using the Design Structure Matrix (DSM) method. A matrix-based risk propagation model is introduced to calculate risk propagation and thus to re-eva...

Focusing Information Systems Post-Graduate Research Projects

Directory of Open Access Journals (Sweden)

Gail Ridley

1996-11-01

Full Text Available This paper reports on an investigation of mechanisms that assist Information Systems post-graduate research students to focus their projects. An evaluation is presented of the experiences of Information Systems research students in focussing their research projects based on a survey conducted of students who participated in two of the first three Information Systems doctoral consortia to be held in Australia. The survey sought to determine whether a doctoral consortium or 'systematic expert review' is the most valuable mechanism for focussing a research proposal. Systematic expert review was considered by the students to be more effective than the doctoral consortium process for the purpose of focussing their research project proposals.

An expert system for ranking companies and investments: wood industry case

Directory of Open Access Journals (Sweden)

Hliadis Lazaros

2003-01-01

Full Text Available Wood industry is a very important part of both the Greek Rural and industrial sector. The discovery of the differentiation in the level of growth and in the quality of financial management between the Greek wood companies can provide very important aid in the design of an effective rural development policy. The evaluation and ranking of Greek wood companies based on actual financial data is a very complicated task and it requires expertise knowledge and skills. On the other hand a computer expert system can perform validation and evaluation in an efficient way and can substitute human experts. An expert system was designed and developed towards this direction. It uses multicriteria analysis for each one of the wood companies based on actual financial data and it applies fundamental principles of fuzzy logic in order to calculate the expected intervals of flows for the following years. .

WES: A well test analysis expert system

International Nuclear Information System (INIS)

Mensch, A.

1988-06-01

This report describes part of the development of an expert system in the domain of well-test analysis. This work has been done during my final internship, completed at the Lawrence Berkeley Laboratory. The report is divided in three parts: the first one gives a description of the state of the project at the time I first began to work on it, and raises some problems that have to be solved. The second section shows the results that have been reached, and the last one draws conclusions from these results and proposes extensions that would be useful in the future

Expert judgments about RD&D and the future of nuclear energy.

Science.gov (United States)

Anadón, Laura D; Bosetti, Valentina; Bunn, Matthew; Catenacci, Michela; Lee, Audrey

2012-11-06

Probabilistic estimates of the cost and performance of future nuclear energy systems under different scenarios of government research, development, and demonstration (RD&D) spending were obtained from 30 U.S. and 30 European nuclear technology experts. We used a novel elicitation approach which combined individual and group elicitation. With no change from current RD&D funding levels, experts on average expected current (Gen. III/III+) designs to be somewhat more expensive in 2030 than they were in 2010, and they expected the next generation of designs (Gen. IV) to be more expensive still as of 2030. Projected costs of proposed small modular reactors (SMRs) were similar to those of Gen. IV systems. The experts almost unanimously recommended large increases in government support for nuclear RD&D (generally 2-3 times current spending). The majority expected that such RD&D would have only a modest effect on cost, but would improve performance in other areas, such as safety, waste management, and uranium resource utilization. The U.S. and E.U. experts were in relative agreement regarding how government RD&D funds should be allocated, placing particular focus on very high temperature reactors, sodium-cooled fast reactors, fuels and materials, and fuel cycle technologies.

Using Ada to implement the operations management system in a community of experts

Science.gov (United States)

Frank, M. S.

1986-01-01

An architecture is described for the Space Station Operations Management System (OMS), consisting of a distributed expert system framework implemented in Ada. The motivation for such a scheme is based on the desire to integrate the very diverse elements of the OMS while taking maximum advantage of knowledge based systems technology. Part of the foundation of an Ada based distributed expert system was accomplished in the form of a proof of concept prototype for the KNOMES project (Knowledge-based Maintenance Expert System). This prototype successfully used concurrently active experts to accomplish monitoring and diagnosis for the Remote Manipulator System. The basic concept of this software architecture is named ACTORS for Ada Cognitive Task ORganization Scheme. It is when one considers the overall problem of integrating all of the OMS elements into a cooperative system that the AI solution stands out. By utilizing a distributed knowledge based system as the framework for OMS, it is possible to integrate those components which need to share information in an intelligent manner.

Expert system application for prioritizing preventive actions for shift work: shift expert.

Science.gov (United States)

Esen, Hatice; Hatipoğlu, Tuğçen; Cihan, Ahmet; Fiğlali, Nilgün

2017-09-19

Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.

The role of users group in the IFMIF project

International Nuclear Information System (INIS)

Matsui, H.; Sugimoto, M.; Mdslang, A.; Garin, R.

2007-01-01

Full text of publication follows: Experts of materials and fusion technology areas are the major 'users' of the IFMIF, the International Fusion Materials Irradiation Facility. Now that IFMIF-EVEDA (Engineering Validation and Engineering Design Activities) Project is implemented under the Broader Approach framework as an EU-JP bilateral collaboration, the Users' Group under IEA does not have a formal interface with the IFMIF-EVEDA project. This lack of interface may cause serious problems since this situation may lead to designing, and eventually, constructing an expensive facility that does not fulfill the users' requirements in an optimal manner. Direct connection of IEA Users group and IFMIF would face a serious difficulty since the participating parties are different to each other. The Broader Approach agreement foresees the creation of a Project Committee in particular to advise IFMIF-EVEDA Project Leader on its implementation. It would be recommendable to appoint fusion-materials and -technology experts from BA participating parties as Project Committee members and let them function as interface between the Users and IFMIF-EVEDA Project. Periodic exchange of opinion involving members of this Committee with Users group members would function as an interface with scientists from all over the world. Roles of users, i.e. fusion-materials and technology experts are identified as follows: - Contribute to the reviews all along the IFMIF-EVEDA progress - Recommendations for further improvement of irradiation and test conditions - Support performance assessments of IFMIF (if needed) - Exchange of information on: - reference materials to be used for IFMIF construction - test matrices, and PIE programs for mechanical testing (at IFMIF site) - advanced microstructural analysis at suitable international laboratories - Ensure the link with DEMO design criteria experts as well as breeding blanket expert group - Support establishment of 'materials design limit data' for IFMIF

Consumer versus expert hazard identification: A mental models study of a functional food ingredient

DEFF Research Database (Denmark)

Hagemann, Kit; Scholderer, Joachim

Objectives: The consumer part of the EU project NOFORISK compares laypeople and experts' understanding of benefits and risks associated with the functional food ingredient Phytosterol. The Council of the European Union has recently authorised the marketing of Phytosterol-enriched rye bread...

Application of analytic hierarchy process to extract the user's purpose of expert systems

International Nuclear Information System (INIS)

Gofuku, Akio; Wakabayashi, Jiro; Morimoto, Takashi.

1992-01-01

This paper deals with an application of analytic hierarchy process (AHP) to extract the user's purpose which must be input to expert systems. In the AHP, the process to obtain the weights for criteria by pairwise comparisons is interpreted as the extraction of the decision marker's idea about the importance of each criterion. With this interpretation, the analytic hierarchy process is applied to extract the analyst's idea of the weights of several factors to select constitutive equations suitable for a target analysis in a model selection support expert system under development for numerical simulation of nuclear thermal-hydraulics; the constitutive equations are ordinary introduced in a liquid-vapor two-phase flow analysis. Furthermore, an algorithm by applying the graph theory is shown to evaluate covering condition to obtain the weights from incomplete pairwise comparisons. (author)

Java expert GUI framework for CERN beam instrumentation systems

International Nuclear Information System (INIS)

Bart Pedersen, S.; Bozyigit, S.; Jackson, S.

2012-01-01

The CERN Beam Instrumentation Group's software section has recently performed a study of the tools used to produce Java expert GUI (Graphical User Interface) applications. This paper will present the analysis that was made to understand the requirements for generic components and the resulting tools including a collection of Java components that have been made available for a wider audience. The new expert GUI has already given very good results. Users can easily and quickly create a Java project with a pre-defined structure that will allow them to run an application in two mouse clicks. At the same time, they are able to add whatever components they need to libraries that are now common to all. The use of Maven is not completed and has led to some integration problems for our Java software architecture. Nevertheless, the handling of the library dependencies and the archetypes are very useful

Applying systems engineering in the civil engineering industry : an analysis of systems engineering projects of a Dutch water board

NARCIS (Netherlands)

de Graaf, R. S. (Robin); Vromen, R. M.(Rick); Boes, J. (Hans)

2017-01-01

The past decade, practice and literature have shown an increasing interest in Systems Engineering (SE) in the civil engineering industry. The aim of this study is to analyse to what extent SE is applied in six civil engineering SE projects of a Dutch water board. The projects were analysed using a

An expert systems application to space base data processing

Science.gov (United States)

Babb, Stephen M.

1988-01-01

The advent of space vehicles with their increased data requirements are reflected in the complexity of future telemetry systems. Space based operations with its immense operating costs will shift the burden of data processing and routine analysis from the space station to the Orbital Transfer Vehicle (OTV). A research and development project is described which addresses the real time onboard data processing tasks associated with a space based vehicle, specifically focusing on an implementation of an expert system.

A model technical cooperation project on the marine radioactivity assessment in the Black Sea Region

International Nuclear Information System (INIS)

Goektepe, B. G.; Koeksal, G.; Osvath, I.; Koese, A.; Kuecuekcezzar, R.; Varinlioglu, A.; Guengoer, E.

2002-01-01

Marine Environmental Assessment of the Black Sea Region is a wide scope Regional Technical Co-operation Project coded as RER/2/003 implemented by the International Atomic Energy Agency (IAEA) in the period 1995-2001.This multidisciplinay project was designed in response to the needs of participating Member States - the six Black Sea coastal countries (Bulgaria, Romania, Ukraine, Russian Federation, Georgia and Turkey)- to establish capabilities for reliably assessing radionuclides in the Black Sea environment and applying tracer techniques to marine pollution studies. The IAEA assisted laboratories in the region by providing expert services, training, equipment and materials (Goektepe et al., 1998; Osvath et al., 1997-2000)

Using Specification and Description Language (SDL) for capturing and reusing human experts' knowledge

International Nuclear Information System (INIS)

Far, B.H.; Koono, Zenya

1994-01-01

Conventional knowledge engineering techniques for acquiring experts' knowledge can not produce quality knowledge due to improper knowledge documentation and informal knowledge acquisition method. We propose a new method for knowledge documentation and acquisition using Specification and Description Language (SDL). SDL is used to describe both the target system and the reasoning process. The main idea is to follow deterministic problem solving behavior of human experts and document it. Then knowledge can be extracted by comparing documents of the successive steps. This knowledge is recorded and reused in similar or novel cases. We present an implementation of this method in a tool for software design. The implemented system consists of a SDL CASE tool and an expert system for applying the design knowledge. This system serves as an experimental platform for the study of human design by simulating the design at the lowest level. However, we have found that by acquiring enough domain knowledge, this system can simulate general problem solving of human experts. (author)

Expert system and knowledge acquisition technology in ENEA program on nuclear and conventional energy production processes

International Nuclear Information System (INIS)

Balducelli, C.; Federico, A.; Sapia, R.Di.

1990-01-01

On the basis of some experiences performed in ENEA (Thermal Reactor Department) revelant to the project and development of experts systems to support the operator activities in nuclear and conventional energy production processes, the paper tries to point out the outline of a 'generic' plant operator cognitive structure. For this type of expert systems an implementation strategy and a knowledge elicitation methodology are proposed with the intention of giving a support to the knowledge engineer work

Experts in science and society

CERN Document Server

Gigerenzer, Gerd

2004-01-01

In today's complex world, we have come to rely increasingly on those who have expertise in specific areas and can bring their knowledge to bear on crucial social, political and scientific questions. Taking the viewpoint that experts are consulted when there is something important at stake for an individual, a group, or society at large, Experts in Science and Society explores expertise as a relational concept. How do experts balance their commitment to science with that to society? How does a society actually determine that a person has expertise? What personal traits are valued in an expert? From where does the expert derive authority? What makes new forms of expertise emerge? These and related questions are addressed from a wide range of areas in order to be inclusive, as well as to demonstrate similarities across areas. Likewise, in order to be culturally comparative, this volume includes examples and discussions of experts in different countries and even in different time periods. The topics include the r...

Expert system in PNC, 5

International Nuclear Information System (INIS)

Tobita, Yoshimasa; Yamaguchi, Takashi; Matsumoto, Mitsuo; Ono, Kiyoshi.

1990-01-01

The computer code system which can evaluate the mass balance and cycle cost in nuclear fuel cycle has been developing a PNC using an artificial intelligence technique. This system is composed of the expert system, data base and analysis codes. The expert system is the most important one in the system and the content of the expert system is explained in this paper. The expert system has the three functions. The first is the function of understanding the meaning of user's questions by natural language, the second is the function of selecting the best way to solve the problem given by the user using the knowledge which is already installed in the system, and the last is the function of answering the questions. The knowledge of the experts installed in the expert system is represented by the frame-type rules. Therefore, the knowledge will be simply added to the system, and consequently the system will be easily extended. (author)

The UK system of recognising qualified experts

International Nuclear Information System (INIS)

Bines, W.

2002-01-01

EURATOM Basic Safety Standards (BSS) Directives have long included requirements for the involvement of qualified experts, the definition of which has scarcely changed since at least 1976. The Directive requirement, in the definition of qualified expert,, for competent authorities to recognise the capacity to act as a qualified expert has been interpreted by Member States in widely differing ways, ranging from the minimalist or case by case to the highly detailed and prescriptive. In the United Kingdom (UK), the qualified expert for occupational radiation protection is the radiation protection adviser and the competent authority is the Health and Safety Executive (HSE). The Ionising Radiations Regulations 1985, which largely implemented the 1980 BSS Directive, required an employer to appoint one or more radiation protection advisers for the purpose of advising him as to the observance of these Regulations and other health and safety matters in connection with ionising radiation. The Regulations addressed the question of recognition by forbidding an employer to appoint a person as a radiation protection adviser unless: that person was suitably qualified and experienced; the employer had notified the Health and Safety Executive in writing of the intended appointment at least 28 days in advance, giving the name of the person and particulars of his qualifications and experience and the scope of the advice he would be required to give; and the employer had received from HSE an acknowledgement in writing of the notification. This system allowed HSE to follow up and query any apparently unsuitable potential appointments while applying a light overall administrative touch. The Approved Code of Practice supporting the Regulations included advice on the qualifications, experience and qualities that the employer should look for in a suitable radiation protection adviser

Experts on public trial

DEFF Research Database (Denmark)

Blok, Anders

2007-01-01

a case study of the May 2003 Danish consensus conference on environmental economics as a policy tool, the article reflects on the politics of expert authority permeating practices of public participation. Adopting concepts from the sociology of scientific knowledge (SSK), the conference is seen......-than-successful defense in the citizen perspective. Further, consensus conferences are viewed alternatively as "expert dissent conferences," serving to disclose a multiplicity of expert commitments. From this perspective, some challenges for democratizing expertise through future exercises in public participation...

Tapping into past design experiences : Knowledge sharing and creation during novice-expert design consultations

NARCIS (Netherlands)

Deken, F.; Kleinsmann, M.S.; Aurisicchio, M.; Lauche, K.; Bracewell, R.

2011-01-01

Designing is a knowledge-intensive activity. For novice design engineers, an important means of acquiring knowledge is to consult experienced colleagues. We observed novice–expert consultations as part of three engineering projects in a large aerospace company. Seven meetings were analysed in detail

Compliance status summaries for federal and state statutory directives that apply to the Salt Repository Project at the Deaf Smith County Site, Texas

International Nuclear Information System (INIS)

1986-07-01

This document contains statutory summaries, checklists of compliance requirements, status summaries, and lists of information needs for the environmental and health and safety statutory directives at Federal and State levels that apply to the Salt Repository Project at the Deaf Smith County Site, Texas. Statutes that apply in general to any repository project but not specifically to the Deaf Smith are not included. The information herein supplements the Salt Repository Project Statutory Compliance Plan and the Salt Repository Project Permitting Management Plan by providing lengthy details on statutory directives, compliance requirements, information needs, and the overall status of the environmental and health and safety compliance program for the Salt Repository Project at the Deaf Smith County Site, Texas

CO2 and H2O: Understanding Different Stakeholder Perspectives on the Use of Carbon Credits to Finance Household Water Treatment Projects.

Directory of Open Access Journals (Sweden)

Sarah K Summers

Full Text Available Carbon credits are an increasingly prevalent market-based mechanism used to subsidize household water treatment technologies (HWT. This involves generating credits through the reduction of carbon emissions from boiling water by providing a technology that reduces greenhouse gas emissions linked to climate change. Proponents claim this process delivers health and environmental benefits by providing clean drinking water and reducing greenhouse gases. Selling carbon credits associated with HWT projects requires rigorous monitoring to ensure households are using the HWT and achieving the desired benefits of the device. Critics have suggested that the technologies provide neither the benefits of clean water nor reduced emissions. This study explores the perspectives of carbon credit and water, sanitation and hygiene (WASH experts on HWT carbon credit projects.Thirteen semi-structured, in-depth interviews were conducted with key informants from the WASH and carbon credit development sectors. The interviews explored perceptions of the two groups with respect to the procedures applied in the Gold Standard methodology for trading Voluntary Emission Reduction (VER credits.Agreement among the WASH and carbon credit experts existed for the concept of suppressed demand and parameters in the baseline water boiling test. Key differences, however, existed. WASH experts' responses highlighted a focus on objectively verifiable data for monitoring carbon projects while carbon credit experts called for contextualizing observed data with the need for flexibility and balancing financial viability with quality assurance.Carbon credit projects have the potential to become an important financing mechanism for clean energy in low- and middle-income countries. Based on this research we recommend that more effort be placed on building consensus on the underlying assumptions for obtaining carbon credits from HWT projects, as well as the approved methods for monitoring

CO2 and H2O: Understanding Different Stakeholder Perspectives on the Use of Carbon Credits to Finance Household Water Treatment Projects.

Science.gov (United States)

Summers, Sarah K; Rainey, Rochelle; Kaur, Maneet; Graham, Jay P

2015-01-01

Carbon credits are an increasingly prevalent market-based mechanism used to subsidize household water treatment technologies (HWT). This involves generating credits through the reduction of carbon emissions from boiling water by providing a technology that reduces greenhouse gas emissions linked to climate change. Proponents claim this process delivers health and environmental benefits by providing clean drinking water and reducing greenhouse gases. Selling carbon credits associated with HWT projects requires rigorous monitoring to ensure households are using the HWT and achieving the desired benefits of the device. Critics have suggested that the technologies provide neither the benefits of clean water nor reduced emissions. This study explores the perspectives of carbon credit and water, sanitation and hygiene (WASH) experts on HWT carbon credit projects. Thirteen semi-structured, in-depth interviews were conducted with key informants from the WASH and carbon credit development sectors. The interviews explored perceptions of the two groups with respect to the procedures applied in the Gold Standard methodology for trading Voluntary Emission Reduction (VER) credits. Agreement among the WASH and carbon credit experts existed for the concept of suppressed demand and parameters in the baseline water boiling test. Key differences, however, existed. WASH experts' responses highlighted a focus on objectively verifiable data for monitoring carbon projects while carbon credit experts called for contextualizing observed data with the need for flexibility and balancing financial viability with quality assurance. Carbon credit projects have the potential to become an important financing mechanism for clean energy in low- and middle-income countries. Based on this research we recommend that more effort be placed on building consensus on the underlying assumptions for obtaining carbon credits from HWT projects, as well as the approved methods for monitoring correct and

Regressive Imagery in Creative Problem-Solving: Comparing Verbal Protocols of Expert and Novice Visual Artists and Computer Programmers

Science.gov (United States)

Kozbelt, Aaron; Dexter, Scott; Dolese, Melissa; Meredith, Daniel; Ostrofsky, Justin

2015-01-01

We applied computer-based text analyses of regressive imagery to verbal protocols of individuals engaged in creative problem-solving in two domains: visual art (23 experts, 23 novices) and computer programming (14 experts, 14 novices). Percentages of words involving primary process and secondary process thought, plus emotion-related words, were…

Reflection group on 'Expert Culture'

International Nuclear Information System (INIS)

Eggermont, G.

2000-01-01

As part of SCK-CEN's social sciences and humanities programme, a reflection group on 'Expert Culture' was established. The objectives of the reflection group are: (1) to clarify the role of SCK-CEN experts; (2) to clarify the new role of expertise in the evolving context of risk society; (3) to confront external views and internal SCK-CEN experiences on expert culture; (4) to improve trust building of experts and credibility of SCK-CEN as a nuclear actor in society; (5) to develop a draft for a deontological code; (6) to integrate the approach in training on assertivity and communication; (7) to create an output for a topical day on the subject of expert culture. The programme, achievements and perspectives of the refection group are summarised

PSG-EXPERT. An expert system for the diagnosis of sleep disorders.

Science.gov (United States)

Fred, A; Filipe, J; Partinen, M; Paiva, T

2000-01-01

This paper describes PSG-EXPERT, an expert system in the domain of sleep disorders exploring polysomnographic data. The developed software tool is addressed from two points of view: (1)--as an integrated environment for the development of diagnosis-oriented expert systems; (2)--as an auxiliary diagnosis tool in the particular domain of sleep disorders. Developed over a Windows platform, this software tool extends one of the most popular shells--CLIPS (C Language Integrated Production System) with the following features: backward chaining engine; graph-based explanation facilities; knowledge editor including a fuzzy fact editor and a rules editor, with facts-rules integrity checking; belief revision mechanism; built-in case generator and validation module. It therefore provides graphical support for knowledge acquisition, edition, explanation and validation. From an application domain point of view, PSG-Expert is an auxiliary diagnosis system for sleep disorders based on polysomnographic data, that aims at assisting the medical expert in his diagnosis task by providing automatic analysis of polysomnographic data, summarising the results of this analysis in terms of a report of major findings and possible diagnosis consistent with the polysomnographic data. Sleep disorders classification follows the International Classification of Sleep Disorders. Major features of the system include: browsing on patients data records; structured navigation on Sleep Disorders descriptions according to ASDA definitions; internet links to related pages; diagnosis consistent with polysomnographic data; graphical user-interface including graph-based explanatory facilities; uncertainty modelling and belief revision; production of reports; connection to remote databases.

Expert Systems: An Overview for Teacher-Librarians.

Science.gov (United States)

Orwig, Gary; Barron, Ann

1992-01-01

Provides an overview of expert systems for teacher librarians. Highlights include artificial intelligence and expert systems; the development of the MYCIN medical expert system; rule-based expert systems; the use of expert system shells to develop a specific system; and how to select an appropriate application for an expert system. (11 references)…

Deep knowledge expert system for diagnosis of multiple-failure severe transients in nuclear power plant

International Nuclear Information System (INIS)

Martin, R.P.; Nassersharif, B.

1987-01-01

TAMUS (Transient Analysis of MUltiple-failure Simulations) is a prototype expert system which is the result of a project investigating and implementing event confidence-levels (used by reactor safety experts in reactor transient analysis) in the form of an expert system. Currently, TAMUS is designed to diagnose reactor transients by analyzing simulated sensor and plant thermal hydraulic information from a system simulation. TAMUS uses a knowledge base of existing emergency nuclear plant operating guidelines and detailed thermal-hydraulic calculating results correlated to confidence-levels. TAMUS can diagnose a number of reactor transients (for example, loss-of-coolant accidents, steam-generator-tube ruptures, loss-of-offsite power, etc.). Future work includes the expansion of the knowledge base and improvement of the deep-knowledge qualitative models

Accuracy and interobserver agreement between MR-non-expert radiologists and MR-experts in reading MRI for suspected appendicitis

Energy Technology Data Exchange (ETDEWEB)

Leeuwenburgh, Marjolein M.N., E-mail: m.m.leeuwenburgh@amc.uva.nl [Department of Surgery, Academic Medical Center, University of Amsterdam (Netherlands); Department of Radiology, Academic Medical Center, University of Amsterdam (Netherlands); Wiarda, Bart M. [Department of Radiology, Alkmaar Medical Center, Alkmaar (Netherlands); Jensch, Sebastiaan [Department of Radiology, Sint Lucas Andreas Hospital, Amsterdam (Netherlands); Wouter van Es, H. [Department of Radiology, Sint Antonius Hospital, Nieuwegein (Netherlands); Stockmann, Hein B.A.C. [Department of Surgery, Kennemer Gasthuis, Haarlem (Netherlands); Gratama, Jan Willem C. [Department of Radiology, Gelre Hospitals, Apeldoorn (Netherlands); Cobben, Lodewijk P.J. [Department of Radiology, Haaglanden Medical Center, Leidschendam (Netherlands); Bossuyt, Patrick M.M. [Department of Clinical Epidemiology, Academic Medical Center, University of Amsterdam (Netherlands); Boermeester, Marja A. [Department of Surgery, Academic Medical Center, University of Amsterdam (Netherlands); Stoker, Jaap [Department of Radiology, Academic Medical Center, University of Amsterdam (Netherlands)

2014-01-15

Objective: To compare accuracy and interobserver agreement between radiologists with limited experience in the evaluation of abdominal MRI (non-experts), and radiologists with longer MR reading experience (experts), in reading MRI in patients with suspected appendicitis. Methods: MR imaging was performed in 223 adult patients with suspected appendicitis and read independently by two members of a team of eight MR-inexperienced radiologists, who were trained with 100 MR examinations previous to this study (non-expert reading). Expert reading was performed by two radiologists with a larger abdominal MR experience (>500 examinations) in consensus. A final diagnosis was assigned after three months based on all available information, except MRI findings. We estimated MRI sensitivity and specificity for appendicitis and for all urgent diagnoses separately. Interobserver agreement was evaluated using kappa statistics. Results: Urgent diagnoses were assigned to 147 of 223 patients; 117 had appendicitis. Sensitivity for appendicitis was 0.89 by MR-non-expert radiologists and 0.97 in MR-expert reading (p = 0.01). Specificity was 0.83 for MR-non-experts versus 0.93 for MR-expert reading (p = 0.002). MR-experts and MR-non-experts agreed on appendicitis in 89% of cases (kappa 0.78). Accuracy in detecting urgent diagnoses was significantly lower in MR-non-experts compared to MR-expert reading: sensitivity 0.84 versus 0.95 (p < 0.001) and specificity 0.71 versus 0.82 (p = 0.03), respectively. Agreement on urgent diagnoses was 83% (kappa 0.63). Conclusion: MR-non-experts have sufficient sensitivity in reading MRI in patients with suspected appendicitis, with good agreement with MR-expert reading, but accuracy of MR-expert reading was higher.

Accuracy and interobserver agreement between MR-non-expert radiologists and MR-experts in reading MRI for suspected appendicitis

International Nuclear Information System (INIS)

Leeuwenburgh, Marjolein M.N.; Wiarda, Bart M.; Jensch, Sebastiaan; Wouter van Es, H.; Stockmann, Hein B.A.C.; Gratama, Jan Willem C.; Cobben, Lodewijk P.J.; Bossuyt, Patrick M.M.; Boermeester, Marja A.; Stoker, Jaap

2014-01-01

Objective: To compare accuracy and interobserver agreement between radiologists with limited experience in the evaluation of abdominal MRI (non-experts), and radiologists with longer MR reading experience (experts), in reading MRI in patients with suspected appendicitis. Methods: MR imaging was performed in 223 adult patients with suspected appendicitis and read independently by two members of a team of eight MR-inexperienced radiologists, who were trained with 100 MR examinations previous to this study (non-expert reading). Expert reading was performed by two radiologists with a larger abdominal MR experience (>500 examinations) in consensus. A final diagnosis was assigned after three months based on all available information, except MRI findings. We estimated MRI sensitivity and specificity for appendicitis and for all urgent diagnoses separately. Interobserver agreement was evaluated using kappa statistics. Results: Urgent diagnoses were assigned to 147 of 223 patients; 117 had appendicitis. Sensitivity for appendicitis was 0.89 by MR-non-expert radiologists and 0.97 in MR-expert reading (p = 0.01). Specificity was 0.83 for MR-non-experts versus 0.93 for MR-expert reading (p = 0.002). MR-experts and MR-non-experts agreed on appendicitis in 89% of cases (kappa 0.78). Accuracy in detecting urgent diagnoses was significantly lower in MR-non-experts compared to MR-expert reading: sensitivity 0.84 versus 0.95 (p < 0.001) and specificity 0.71 versus 0.82 (p = 0.03), respectively. Agreement on urgent diagnoses was 83% (kappa 0.63). Conclusion: MR-non-experts have sufficient sensitivity in reading MRI in patients with suspected appendicitis, with good agreement with MR-expert reading, but accuracy of MR-expert reading was higher

The effects of rational and experiential information processing of expert testimony in death penalty cases.

Science.gov (United States)

Krauss, Daniel A; Lieberman, Joel D; Olson, Jodi

2004-01-01

Past research examining the effects of actuarial and clinical expert testimony on defendants' dangerousness in Texas death penalty sentencing has found that jurors are more influenced by less scientific pure clinical expert testimony and less influenced by more scientific actuarial expert testimony (Krauss & Lee, 2003; Krauss & Sales, 2001). By applying cognitive-experiential self-theory (CEST) to juror decision-making, the present study was undertaken in an attempt to offer a theoretical rationale for these findings. Based on past CEST research, 163 mock jurors were either directed into a rational mode or experiential mode of processing. Consistent with CEST and inconsistent with previous research using the same stimulus materials, results demonstrate that jurors in a rational mode of processing more heavily weighted actuarial expert testimony in their dangerousness assessments, while those jurors in the experiential condition were more influenced by clinical expert testimony. The policy implications of these findings are discussed. Copyright 2004 John Wiley & Sons, Ltd.

Self-Regulation of Beer Advertising: A Comparative Analysis of Perceived Violations by Adolescents and Experts.

Science.gov (United States)

Vendrame, Alan; Silva, Rebeca; Xuan, Ziming; Sparks, Robert; Noel, Jonathan; Pinsky, Ilana

2015-09-01

We assessed the impact of the 2010 revisions to Brazil's self-regulatory alcohol marketing code using expert and adolescent raters. Five popular TV beer ads were selected. Ads were rated based on the 2010 Brazilian self-regulatory marketing code. The expert group (N = 31) represented health-related professions; the adolescent group (N = 110) were public high school students. At least 1 ad violated 11 of 17 guidelines included in the study. Ratings by experts and adolescents were similar. Both found violations in all sections of the self-regulatory code, but significant group differences were seen in applying the section that prohibits the promotion of excessive alcohol consumption, with experts identifying more violations than adolescents. Beer ads in the sample systematically violated the self-regulatory standards for alcohol advertising in Brazil according to both experts and youth. Public policies for more effective restrictions and prohibitions in alcohol ads should be considered. © The Author 2015. Medical Council on Alcohol and Oxford University Press. All rights reserved.

Intelligent programs-expert systems

Energy Technology Data Exchange (ETDEWEB)

Gledhill, V X

1982-01-01

In recent years, computer scientists have developed what are called expert systems. These programs have three fundamental components: a knowledge base, which changes with experience; an inference engine which enables the program to make decisions; and an interface that allows the program to communicate with the person using the system. Expert systems have been developed successfully in areas such as medical diagnosis, geology, and computer maintenance. This paper describes the evolution and basic principles of expert systems and give some examples of their use.

Nuclear expert web search and crawler algorithm

International Nuclear Information System (INIS)

Reis, Thiago; Barroso, Antonio C.O.; Baptista, Benedito Filho D.

2013-01-01

In this paper we present preliminary research on web search and crawling algorithm applied specifically to nuclear-related web information. We designed a web-based nuclear-oriented expert system guided by a web crawler algorithm and a neural network able to search and retrieve nuclear-related hyper textual web information in autonomous and massive fashion. Preliminary experimental results shows a retrieval precision of 80% for web pages related to any nuclear theme and a retrieval precision of 72% for web pages related only to nuclear power theme. (author)

Nuclear expert web search and crawler algorithm

Energy Technology Data Exchange (ETDEWEB)

Reis, Thiago; Barroso, Antonio C.O.; Baptista, Benedito Filho D., E-mail: thiagoreis@usp.br, E-mail: barroso@ipen.br, E-mail: bdbfilho@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

2013-07-01

In this paper we present preliminary research on web search and crawling algorithm applied specifically to nuclear-related web information. We designed a web-based nuclear-oriented expert system guided by a web crawler algorithm and a neural network able to search and retrieve nuclear-related hyper textual web information in autonomous and massive fashion. Preliminary experimental results shows a retrieval precision of 80% for web pages related to any nuclear theme and a retrieval precision of 72% for web pages related only to nuclear power theme. (author)

THE MODEL OF FORMATION A PORTFOLIO OF THE INTERNATIONAL ACTIVITIES PROJECTS OF HEI

Directory of Open Access Journals (Sweden)

Сергей Васильевич РУДЕНКО

2016-02-01

Full Text Available The paper discusses an approach to assessing the project's value of the university international activities, based on the method of expert assessments and fuzzy-multiple method. Evaluating the effectiveness of the university-based project approach is a key factor in its competitiveness. The necessity substantiated of projects valuation of the university international activities. The concept is based on the matrices evaluation value product, process, international activities and development. For integral evaluation value of the university international activities project, we propose viewed from the standpoint of efficiency of all its results. These results can be roughly characterized by the following benchmarks: educational, scientific, technical, political, economic and social. In turn, key benchmarks characterized by its parameters, which estimate conducted by experts. Rating value of the university international activities project is to define the integral indicator of the value of the project. The proposed approach to determining the value of the international activities university projects, based on expert assessments and methods of fuzzy set theory will evaluate the effectiveness of these projects and implement the optimal choice.

Lessons Learned- The Use of Formal Expert Elicitation in Probablistic Seismic Hazard

Energy Technology Data Exchange (ETDEWEB)

K.J. Coppersmith; R.C. Perman; R.R. Youngs

2006-05-10

Probabilistic seismic hazard analyses provide the opportunity, indeed the requirement, to quantify the uncertainties in important inputs to the analysis. The locations of future earthquakes, their recurrence rates and maximum size, and the ground motions that will result at a site of interest are all quantities that require careful consideration because they are uncertain. The earliest PSHA models [Cornell, 1968] provided solely for the randomness or aleatory variability in these quantities. The most sophisticated seismic hazard models today, which include quantified uncertainties, are merely more realistic representations of this basic aleatory model. All attempts to quantify uncertainties require expert judgment. Further, all uncertainty models should endeavor to consider the range of views of the larger technical community at the time the hazard analysis is conducted. In some cases, especially for large projects under regulatory review, formal structured methods for eliciting expert judgments have been employed. Experience has shown that certain key elements are required for these assessments to be successful, including: (1) experts should be trained in probability theory, uncertainty quantification, and ways to avoid common cognitive biases; (2) comprehensive and user-friendly databases should be provided to the experts; (3) experts should be required to evaluate all potentially credible hypotheses; (4) workshops and other interactions among the experts and proponents of published viewpoints should be encouraged; (5) elicitations are best conducted in individual interview sessions; (6) feedback should be provided to the experts to give them insight into the significance of alternative assessments to the hazard results; and (7) complete documentation should include the technical basis for all assessments. Case histories are given from seismic hazard analyses in Europe, western North America, and the stable continental region of the United States.

Mismanagement Reasons of the Projects Execution Phase

Directory of Open Access Journals (Sweden)

Hatem Khaleefah Al-Agele

2017-10-01

Full Text Available The execution phase of the project is most dangerous and the most drain on the resources during project life cycle, therefore, its need to monitor and control by specialists to exceeded obstructions and achieve the project goals. The study aims to detect the actual reasons behind mismanagement of the execution phase. The study begins with theoretical part, where it deals with the concepts of project, project selection, project management, and project processes. Field part consists of three techniques: 1- brainstorming, 2- open interviews with experts and 3- designed questionnaire (with 49 reason. These reasons result from brainstorming and interviewing with experts., in order to find the real reasons behind mismanagement of the execution phase. The most important reasons which are negatively impact on management of the execution phase that proven by the study were (Inability of company to meet project requirements because it's specialized and / or large project, Multiple sources of decision and overlap in powers, Inadequate planning, Inaccurate estimation of cost, Delayed cash flows by owners, Poor performance of project manager, inefficient decision making process, and the Negative impact of people in the project area. Finally, submitting a set of recommendations which will contribute to overcome the obstructions of successful management of the execution phase.

New Accelerator Projects

International Nuclear Information System (INIS)

Delahaye, J.P.

2010-01-01

There is large number of ambitious accelerator projects with promising performances in the near (and short term) future which aims at exploring energy and/or luminosity frontiers and Complementary aspects of various particles species. High Energy Physics requirements are extremely demanding with challenging parameters: entering into the new territories of the tera-scale data, high Energy or/and High (Integrated) Luminosity, high performance, high availability, long lifetime, luminosity leveling etc.. New projects are more and more challenging: larger, more powerful, more expensive, technology above present standard. Innovative ideas and breakthrough on novel technologies are key for HEP adventure. Aggressive R and D is imperative on beam and Technology related, on cost and power consumption mitigation.. There is ambitious Test Facilities to address feasibility. More and more time and (M and P) resources are required from first ideas to project proposal: it is of prime importance to launch R and D early, explore all possible options of schemes and technologies (anticipating future Physics requests), make realistic status and schedule estimates (preserve credibility and make reasonable plans). Global Collaboration is mandatory from the R and D phase to the construction and operation in order to make best use of limited resources and available expertise as inspired from successful collaborations on Detectors. The global strategy of new accelerator projects in truly world-wide collaboration aims at: - defining all various Projects and Technology options worth exploring, - taking advantage of global teams made of world-wide experts, and of synergies to address common issues (generic R and D) of various projects, - preparing together plethora of project proposals to cover Physics Landscape (ready for window opportunity), - developing Collaborative/Competition (Experts in Collaboration, Technology and Projects options in Competition), - Joining resources on (few) selected

A demonstration of expert systems applications in transportation engineering : volume I, transportation engineers and expert systems.

Science.gov (United States)

1987-01-01

Expert systems, a branch of artificial-intelligence studies, is introduced with a view to its relevance in transportation engineering. Knowledge engineering, the process of building expert systems or transferring knowledge from human experts to compu...

Application of neural networks to connectional expert system for identification of transients in nuclear power plants

International Nuclear Information System (INIS)

Cheon, Se Woo; Kim, Wan Joo; Chang, Soon Heung; Roh, Myung Sub

1991-01-01

The Back-propagation Neural Network (BPN) algorithm is applied to connectionist expert system for the identification of BWR transients. Several powerful features of neural network-based expert systems over traditional rule-based expert systems are described. The general mapping capability of the neural networks enables to identify transients easily. A number of case studies were performed with emphasis on the applicability of the neural networks to the diagnostic domain. It is revealed that the BPN algorithm can identify transients properly, even when incomplete or untrained symptoms are given. It is also shown that multiple transients are easily identified

Proposal and Evaluation of Management Method for College Mechatronics Education Applying the Project Management

Science.gov (United States)

Ando, Yoshinobu; Eguchi, Yuya; Mizukawa, Makoto

In this research, we proposed and evaluated a management method of college mechatronics education. We applied the project management to college mechatronics education. We practiced our management method to the seminar “Microcomputer Seminar” for 3rd grade students who belong to Department of Electrical Engineering, Shibaura Institute of Technology. We succeeded in management of Microcomputer Seminar in 2006. We obtained the good evaluation for our management method by means of questionnaire.

Identification and management of comorbidity in psoriatic arthritis: evidence- and expert-based recommendations from a multidisciplinary panel from Spain.

Science.gov (United States)

Torre-Alonso, Juan Carlos; Carmona, Loreto; Moreno, Mireia; Galíndez, Eva; Babío, Jesús; Zarco, Pedro; Linares, Luis; Collantes-Estevez, Eduardo; Barrial, Manuel Fernández; Hermosa, Juan Carlos; Coto, Pablo; Suárez, Carmen; Almodóvar, Raquel; Luelmo, Jesús; Castañeda, Santos; Gratacós, Jordi

2017-08-01

The objective is to establish recommendations, based on evidence and expert opinion, for the identification and management of comorbidities in patients with psoriatic arthritis (PsA). The following techniques were applied: discussion group, systematic review, and Delphi survey for agreement. A panel of professionals from four specialties defined the users, the sections of the document, possible recommendations, and what systematic reviews should be performed. A second discussion was held with the results of the systematic reviews. Recommendations were formulated in the second meeting and voted online from 1 (total disagreement) to 10 (total agreement). Agreement was considered if at least 70% voted ≥7. The level of evidence and grade of recommendation were assigned using the Oxford Centre for Evidence-Based Medicine guidance. The full document was critically appraised by the experts, and the project was supervised at all times by a methodologist. In a final step, the document was reviewed and commented by a patient and a health management specialist. Fourteen recommendations were produced, together with a checklist to facilitate the implementation. The items with the largest support from evidence were those related to cardiovascular disease and risk factors. The panel recommends paying special attention to obesity, smoking, and alcohol consumption, as they are all modifiable factors with an impact on treatment response or complications of PsA. Psychological and organizational aspects were also deemed important. We herein suggest practical recommendations for the management of comorbidities in PsA based on evidence and expert opinion.

Documenting genomics: Applying archival theory to preserving the records of the Human Genome Project.

Science.gov (United States)

Shaw, Jennifer

2016-02-01

The Human Genome Archive Project (HGAP) aimed to preserve the documentary heritage of the UK's contribution to the Human Genome Project (HGP) by using archival theory to develop a suitable methodology for capturing the results of modern, collaborative science. After assessing past projects and different archival theories, the HGAP used an approach based on the theory of documentation strategy to try to capture the records of a scientific project that had an influence beyond the purely scientific sphere. The HGAP was an archival survey that ran for two years. It led to ninety scientists being contacted and has, so far, led to six collections being deposited in the Wellcome Library, with additional collections being deposited in other UK repositories. In applying documentation strategy the HGAP was attempting to move away from traditional archival approaches to science, which have generally focused on retired Nobel Prize winners. It has been partially successful in this aim, having managed to secure collections from people who are not 'big names', but who made an important contribution to the HGP. However, the attempt to redress the gender imbalance in scientific collections and to improve record-keeping in scientific organisations has continued to be difficult to achieve. Copyright © 2015 The Author. Published by Elsevier Ltd.. All rights reserved.

Raspberry Pi robotics projects

CERN Document Server

Grimmett, Richard

2015-01-01

This book is for enthusiasts who want to use the Raspberry Pi to build complex robotics projects. With the aid of the step-by-step instructions in this book, you can construct complex robotics projects that can move, talk, listen, see, swim, or fly. No previous Raspberry Pi robotics experience is assumed, but even experts will find unexpected and interesting information in this invaluable guide.

TU Delft expert judgment data base

International Nuclear Information System (INIS)

Cooke, Roger M.; Goossens, Louis L.H.J.

2008-01-01

We review the applications of structured expert judgment uncertainty quantification using the 'classical model' developed at the Delft University of Technology over the last 17 years [Cooke RM. Experts in uncertainty. Oxford: Oxford University Press; 1991; Expert judgment study on atmospheric dispersion and deposition. Report Faculty of Technical Mathematics and Informatics No.01-81, Delft University of Technology; 1991]. These involve 45 expert panels, performed under contract with problem owners who reviewed and approved the results. With a few exceptions, all these applications involved the use of seed variables; that is, variables from the experts' area of expertise for which the true values are available post hoc. Seed variables are used to (1) measure expert performance, (2) enable performance-based weighted combination of experts' distributions, and (3) evaluate and hopefully validate the resulting combination or 'decision maker'. This article reviews the classical model for structured expert judgment and the performance measures, reviews applications, comparing performance-based decision makers with 'equal weight' decision makers, and collects some lessons learned

Expert system technology for the military

International Nuclear Information System (INIS)

Franklin, J.E.; Carmody, C.L.; Buteau, B.L.; Keller, K.; Levitt, T.S.

1988-01-01

This paper is concerned with the applications of expert systems to complex military problems. A brief description of needs for expert systems in the military arena is given. A short tutorial on some of the elements of an expert system is found in Appendix I. An important aspect of expert systems concerns using uncertain information and ill-defined procedures. Many of the general techniques of dealing with uncertainty are described in Appendix II. These techniques include Bayesian certainty factors, Dempster-Shafer theory of uncertainty, and Zadeh's fuzzy set theory. The major portion of the paper addresses specific expert system examples such as resource allocation, identification of radar images, maintenance and troubleshooting of electronic equipment, and the interpretation and understanding of radar images. Extensions of expert systems to incorporate learning are examined in the context of military intelligence to determine the disposition, location, and intention of the adversary. The final application involves the use of distributed communicating cooperating expert systems for battle management. Finally, the future of expert systems and their evolving capabilities are discussed

Developing Expert Teams with a Strong Safety Culture

Science.gov (United States)

Rogers, David G.

2010-01-01

Would you like to lead a world renowned team that draws out all the talents and expertise of its members and consistently out performs all others in the industry? Ever wonder why so many organizations fail to truly learn from past mistakes only to repeat the same ones at a later date? Are you a program/project manager or team member in a high-risk organization where the decisions made often carry the highest of consequences? Leadership, communication, team building, critical decision-making and continuous team improvement skills and behaviors are mere talking points without the attitudes, commitment and strategies necessary to make them the very fabric of a team. Developing Expert Teams with a Strong Safety Culture, will provide you with proven knowledge and strategies to take your team soaring to heights you may have not thought possible. A myriad of teams have applied these strategies and techniques within their organization team environments: military and commercial aviation, astronaut flight crews, Shuttle flight controllers, members of the Space Shuttle Program Mission Management Team, air traffic controllers, nuclear power control teams, surgical teams, and the fire service report having spectacular success. Many industry leaders are beginning to realize that although the circumstances and environments of these teams may differ greatly to their own, the core elements, governing principles and dynamics involved in managing and building a stellar safety conscious team remain identical.

The expert knowledge as defined by the X-ray Ordinance

International Nuclear Information System (INIS)

1991-01-01

Persons applying within their role responsibility X-rays in medicine or veterinary medicine, or persons with a responsibility as radiation protection officer or according to section 24, sub-sec. (3) Radiation Protection Ordinance have to give proof of the required expert knowledge (section 3, sub-sec. (2), no. 3, section 4, sub-sec. (1) no. 3, section 13, sub-sec. (4), section 23 no.s. 1 and 3 of the X-ray Ordinance). In addition, persons applying X-rays under the supervision and responsibility of a medical specialist or dentist, have to acquire the knowledge in radiation protection as defined by section 23, no. 2 and 4 X-ray Ordinance. As to the application of X-rays in veterinary medicine, the expert knowledge required is defined in section 3, sub-sec. (2) no. 3, section 4, sub-sec. 1 no. 3, section 13, sub-sec. (4), section 29 sub-sec. (1) no. 4 of the X-ray Ordinance. The knowledge to be acquired in radiation protection is given in section 29, sub-sec. (1) no. 3 of the X-ray Ordinance. The radiation protection officer or persons responsible for radiation protection have to give proof of their expert knowledge within the course of the licensing or notification procedure in accordance with sections 3 and 4 of the X-ray Ordinance, or in the course of the procedure for appointment of a radiation protection officier in accordance with section 13, sub-sec. (3) of the X-ray Ordinance. (orig.) [de

Risk perception: expert opinion versus public understanding

International Nuclear Information System (INIS)

Brown, Jennifer

1987-01-01

A research project looking at the public's attitudes towards the siting of radioactive waste depositories is reported. The risk perception studies seek to compare expert and lay understanding of risk. Adverse public reactions to risk can only be understood if it is known how people relate to risks in their everyday or working lives. Social trends and experiences are important, for example, the adverse public opinion on the siting of nuclear waste facilities. A number of elements have been identified as common to different risk areas such as chemicals, drugs, food or radioactive waste. These are the clashing of values, polarization of beliefs or clashes of interest. (UK)

Identifying Issues in Applying Integrated Project Delivery to Domestic Nuclear Power Plant Construction Projects

Energy Technology Data Exchange (ETDEWEB)

Kim, Young Joo [Korean Nuclear Society, Daejeon (Korea, Republic of)

2016-05-15

Integrated Project Delivery (IPD) is defined as that people, systems, business structures, and practices of key stakeholders are incorporated into a single-team, with a single process, which executes a project in a way of optimizing the project's outcome, increasing values delivered to the end user, reducing waste, and maximizing efficiency throughout the phases of engineering to construction. The researcher had carried out literature review in terms of IPD to identify major characteristics of IPD which are presented in the following section and had compared such characteristics against peculiarities of nuclear power plant (NPP) construction projects in order to shed light on obstacles in possible application of IPD method to domestic NPP construction projects in the coming days. In this research, three (3) major characteristics of IPD were identified: 1) key stakeholders signing one balanced contract, forming de facto one body, sharing risk and reward 2) an integrated project team being formed in the early stage of a project and providing input to minimize time and cost loss from rework downstream 3) team members co-locating, having open and direct communication, making decisions on time, and pursuing the success of the project itself.

Steam Generator Inspection Planning Expert System

International Nuclear Information System (INIS)

Rzasa, P.

1987-01-01

Applying Artificial Intelligence technology to steam generator non-destructive examination (NDE) can help identify high risk locations in steam generators and can aid in preparing technical specification compliant eddy current test (ECT) programs. A steam Generator Inspection Planning Expert System has been developed which can assist NDE or utility personnel in planning ECT programs. This system represents and processes its information using an object oriented declarative knowledge base, heuristic rules, and symbolic information processing, three artificial intelligence based techniques incorporated in the design. The output of the system is an automated generation of ECT programs. Used in an outage inspection, this system significantly reduced planning time

Project Management in Bayelsa: Issue and Challenges | Ogege ...

African Journals Online (AJOL)

Project management is believed to be justified as a means of avoiding the ills inherent in the construction and production sectors of the economy and for which reasons most projects fail and or abandoned. The project managers role arises from the need for a technical expert to take charge, control of events on the project ...

Computer Based Expert Systems.

Science.gov (United States)

Parry, James D.; Ferrara, Joseph M.

1985-01-01

Claims knowledge-based expert computer systems can meet needs of rural schools for affordable expert advice and support and will play an important role in the future of rural education. Describes potential applications in prediction, interpretation, diagnosis, remediation, planning, monitoring, and instruction. (NEC)

Fiscal Feasibility Assessment Applied to Transport Infrastructure Projects

Energy Technology Data Exchange (ETDEWEB)

Guilherme de Aragão, J.J.; Santos Fontes Pereira, L. dos; Yamashita, Y.; Brandão, R.

2016-07-01

The demand for transport infrastructure investment is a latent issue for several countries, mainly for developing countries. However, investments in major logistics projects should be carefully evaluated, in order that their deployment induces development without endangering fiscal sustainability by excessive public indebtedness. Fiscal accounting practices used currently in the feasibility studies of transport infrastructures in Brazil are very limited, as they do not consider indirect and induced effects of the infrastructure investment in the fiscal evaluation. In addition, the corresponding influence area has not an established delimitation method. The aim of the present paper is to develop a model for calculating economic and fiscal impacts of transport infrastructure investment projects that includes the direct, indirect and induced effects within a reference area do be determined. First, different project assessment guides in Brazil and abroad are examined with a special focus on the assessment of economic and fiscal impacts of the projects. Based on the assessment experience and on the definition of the fiscal balance of an infrastructure project, the next step sets up a framework for the calculation of the impacts, using more simplified data. (Author)

The determinants of the public cofinancing rate for applied R&D: an empirical assessment on agricultural projects in an Italian region

NARCIS (Netherlands)

Esposti, R.; Materia, V.C.

2016-01-01

This paper empirically analyzes how a public institution chooses the cofinancing rate in funding competitive applied agricultural research projects. The public funding institution observes some objective features of the selected projects and of the proponents. The paper puts forward some testable

[Deontology of the medical expert].

Science.gov (United States)

Raszeja, S

1995-09-01

The authority of prosecuting organ to choose the expert, set his task and verify the following opinion is defined. The qualities of the medical expert and his duties are described, referring to: -his expertise; -his morality; -his ability to issue an independent (objective) opinion. Detailed rules, which can be ascribed to a specific medical expert's deontological code, are listed and explained.

Selecting Health Care Improvement Projects: A Methodology Integrating Cause-and-Effect Diagram and Analytical Hierarchy Process.

Science.gov (United States)

Testik, Özlem Müge; Shaygan, Amir; Dasdemir, Erdi; Soydan, Guray

It is often vital to identify, prioritize, and select quality improvement projects in a hospital. Yet, a methodology, which utilizes experts' opinions with different points of view, is needed for better decision making. The proposed methodology utilizes the cause-and-effect diagram to identify improvement projects and construct a project hierarchy for a problem. The right improvement projects are then prioritized and selected using a weighting scheme of analytical hierarchy process by aggregating experts' opinions. An approach for collecting data from experts and a graphical display for summarizing the obtained information are also provided. The methodology is implemented for improving a hospital appointment system. The top-ranked 2 major project categories for improvements were identified to be system- and accessibility-related causes (45%) and capacity-related causes (28%), respectively. For each of the major project category, subprojects were then ranked for selecting the improvement needs. The methodology is useful in cases where an aggregate decision based on experts' opinions is expected. Some suggestions for practical implementations are provided.

Expert systems: An overview

International Nuclear Information System (INIS)

Verdejo, F.

1985-01-01

The purpose of this article is to introduce readers to the basic principles of rule-based expert systems. Four topics are discussed in subsequent sections: (1) Definition; (2) Structure of an expert system; (3) State of the art and (4) Impact and future research. (orig.)

Innovative finance : strategic research project.

Science.gov (United States)

2013-08-01

Its time to rethink how we fund transportation infrastructure because most transportation : experts agree: theres a transportation funding and financing crisis looming. : Projected revenues from current sources of transportation funding will am...

Lay Evaluation of Financial Experts: The Action Advice Effect and Confirmation Bias

Directory of Open Access Journals (Sweden)

Tomasz Zaleskiewicz

2016-09-01

Full Text Available The goal of this experimental project was to investigate lay peoples’ perceptions of epistemic authority (EA in the field of finance. EA is defined as the extent to which a source of information is treated as evidence for judgments independently of its objective expertise and based on subjective beliefs. Previous research suggested that EA evaluations are biased and that lay people tend to ascribe higher EA to experts who advise action (in the case of medical experts or confirm clients’ expectations (in the case of politicians. However, there has been no research into biases in lay evaluations of financial experts and this project is aimed to fill this gap. Experiment 1 showed that lay people tended to ascribe greater authority to financial consultants who gave more active advice to clients considering taking out a mortgage. Experiment 2 confirmed the action advice effect found in Experiment 1. However, the outcomes of Experiments 2 and – particularly – 3 suggested that this bias might also be due to clients’ desire to confirm their own opinions. Experiment 2 showed that the action advice effect was moderated by clients’ own opinions on taking loans. Lay people ascribed the greatest EA to the advisor in the scenario in which he advised taking action and where this coincided with the client’s positive opinion on the advisability of taking out a loan. In Experiment 3 only participants with a positive opinion on the financial product ascribed greater authority to experts who recommended it; participants whose opinion was negative tended to rate consultants who advised rejecting the product more highly. To conclude, these three experiments revealed that lay people ascribe higher EA to financial consultants who advise action rather than maintenance of the status quo, but this effect is limited by confirmation bias: when the client’s a priori opinion is salient, greater authority is ascribed to experts whose advice confirms it. In this

Design Features in Games for Health: Disciplinary and Interdisciplinary Expert Perspectives.

Science.gov (United States)

Kelley, Christina; Wilcox, Lauren; Ng, Wendy; Schiffer, Jade; Hammer, Jessica

2017-06-01

Games for health (G4H) aim to improve health outcomes and encourage behavior change. While existing theoretical frameworks describe features of both games and health interventions, there has been limited systematic investigation into how disciplinary and interdisciplinary stakeholders understand design features in G4H. We recruited 18 experts from the fields of game design, behavioral health, and games for health, and prompted them with 16 sample games. Applying methods including open card sorting and triading, we elicited themes and features (e.g., real-world interaction, game mechanics) around G4H. We found evidence of conceptual differences suggesting that a G4H perspective is not simply the sum of game and health perspectives. At the same time, we found evidence of convergence in stakeholder views, including areas where game experts provided insights about health and vice versa. We discuss how this work can be applied to provide conceptual tools, improve the G4H design process, and guide approaches to encoding G4H-related data for large-scale empirical analysis.

Expert Opinion in SR 97 and the SKI/SSI Joint Review of SR 97

Energy Technology Data Exchange (ETDEWEB)

Hora, Stephen

2002-09-01

The role of sensitivity and uncertainty analyses for radioactive waste disposal assessments is reviewed. The report covers a description of the these concepts were applied in the authorities' review of the safety report SR 97. With regard to the use of expert knowledge, the most significant weakness of SR 97 is absence of any standards, procedures, and even definitions for expert judgment. This situation needs to be dealt with by SKB in the near future as it denigrates the portions of the study that are well done. In developing expert judgment processes, SSI should ensure that SKB creates procedures that guarantee traceability and transparency. This will become very important as the repository system matures and receives greater public scrutiny. Both in the area of scenario creation and expert judgement, there are processes that have gained international acceptance. It would be in the best interest of SKB, and the public, to adhere these accepted approaches.

Expert Opinion in SR 97 and the SKI/SSI Joint Review of SR 97

International Nuclear Information System (INIS)

Hora, Stephen

2002-09-01

The role of sensitivity and uncertainty analyses for radioactive waste disposal assessments is reviewed. The report covers a description of the these concepts were applied in the authorities' review of the safety report SR 97. With regard to the use of expert knowledge, the most significant weakness of SR 97 is absence of any standards, procedures, and even definitions for expert judgment. This situation needs to be dealt with by SKB in the near future as it denigrates the portions of the study that are well done. In developing expert judgment processes, SSI should ensure that SKB creates procedures that guarantee traceability and transparency. This will become very important as the repository system matures and receives greater public scrutiny. Both in the area of scenario creation and expert judgement, there are processes that have gained international acceptance. It would be in the best interest of SKB, and the public, to adhere these accepted approaches

Preserving experience through expert systems

International Nuclear Information System (INIS)

Jelinek, J.B.; Weidman, S.H.

1989-01-01

Expert systems technology, one of the branches in the field of computerized artificial intelligence, has existed for >30 yr but only recently has been made available on commercially standard hardware and software platforms. An expert system can be defined as any method of encoding knowledge by representing that knowledge as a collection of facts or objects. Decisions are made by the expert program by obtaining data about the problem or situation and correlating encoded facts (knowledge) to the data until a conclusion can be reached. Such conclusions can be relayed to the end user as expert advice. Realizing the potential of this technology, General Electric (GE) Nuclear Energy (GENE) has initiated a development program in expert systems applications; this technology offers the potential for packaging, distributing, and preserving nuclear experience in a software form. The paper discusses application fields, effective applications, and knowledge acquisition and knowledge verification

Operational expert system applications in Canada

CERN Document Server

Suen, Ching Y

1992-01-01

This book is part of a new series on operational expert systems worldwide. Expert systems are now widely used in different parts of the world for various applications. The past four years have witnessed a steady growth in the development and deployment of expert systems in Canada. Research in this field has also gained considerable momentum during the past few years. However, the field of expert systems is still young in Canada. This book contains 13 chapters contributed by 31 experts from both universities and industries across Canada covering a wide range of applications related to electric

Expert Meeting Report: Transforming Existing Buildings through New Media - An Idea Exchange

Energy Technology Data Exchange (ETDEWEB)

Hunt, Stacy [Building Media and the Building America Retrofit Alliance (BARA), Wilmington, DE (United States)

2012-05-01

This report describes results of a Building America expert meeting on September 13, 2011, in Las Vegas, Nevada, hosted by the Building America Retrofit Alliance (BARA). This meeting provided a forum for presentations and discussions on the use of new media to work with remodelers and retrofit projects to improve energy efficiency and deliver research results from the Building America program to remodelers.

Expert Meeting Report: Transforming Existing Buildings through New Media--An Idea Exchange

Energy Technology Data Exchange (ETDEWEB)

Hunt, S.

2012-05-01

This report describes results of a Building America expert meeting on September 13, 2011, in Las Vegas, Nevada, hosted by the Building America Retrofit Alliance (BARA). This meeting provided a forum for presentations and discussions on the use of new media to work with remodelers and retrofit projects to improve energy efficiency and deliver research results from the Building America program to remodelers.

IODE Group of Experts on Technical Aspects of Data Exchange

OpenAIRE

2000-01-01

During the 8th session of the IODE Group of Experts on Technical Aspects of Data Exchange reviewed the achievements made during the previous inter-sessional period. The Group also adopted a comprehensive workplan and medium-term objectives for GETADE that include: (i) develop End-To-End Data Management framework strategy and appropriate projects, products and services, based on user requirements; (ii) develop IODE Global metadata management system; (iii) develop marine XML as a mechanism to f...

An expert system for uranium exploration

International Nuclear Information System (INIS)

Chhipa, V.K.; Sengupta, M.

1989-01-01

Artificial intelligence is an emerging technology in the field of computer application. Expert systems have been developed to imitate human intelligence and reasoning process. Expert systems have much scope of application in the decision making process in mineral exploration as such decisions are highly subjective and expert opinions are very helpful. This paper presents a small expert system to analyze the reasoning process in exploring for uranium deposits in sandstone

Expert software for accident identification

International Nuclear Information System (INIS)

Dobnikar, M.; Nemec, T.; Muehleisen, A.

2003-01-01

Each type of an accident in a Nuclear Power Plant (NPP) causes immediately after the start of the accident variations of physical parameters that are typical for that type of the accident thus enabling its identification. Examples of these parameter are: decrease of reactor coolant system pressure, increase of radiation level in the containment, increase of pressure in the containment. An expert software enabling a fast preliminary identification of the type of the accident in Krsko NPP has been developed. As input data selected typical parameters from Emergency Response Data System (ERDS) of the Krsko NPP are used. Based on these parameters the expert software identifies the type of the accident and also provides the user with appropriate references (past analyses and other documentation of such an accident). The expert software is to be used as a support tool by an expert team that forms in case of an emergency at Slovenian Nuclear Safety Administration (SNSA) with the task to determine the cause of the accident, its most probable scenario and the source term. The expert software should provide initial identification of the event, while the final one is still to be made after appropriate assessment of the event by the expert group considering possibility of non-typical events, multiple causes, initial conditions, influences of operators' actions etc. The expert software can be also used as an educational/training tool and even as a simple database of available accident analyses. (author)

Applying Multimodel Ensemble from Regional Climate Models for Improving Runoff Projections on Semiarid Regions of Spain

Science.gov (United States)

Garcia Galiano, S. G.; Olmos, P.; Giraldo Osorio, J. D.

2015-12-01

In the Mediterranean area, significant changes on temperature and precipitation are expected throughout the century. These trends could exacerbate the existing conditions in regions already vulnerable to climatic variability, reducing the water availability. Improving knowledge about plausible impacts of climate change on water cycle processes at basin scale, is an important step for building adaptive capacity to the impacts in this region, where severe water shortages are expected for the next decades. RCMs ensemble in combination with distributed hydrological models with few parameters, constitutes a valid and robust methodology to increase the reliability of climate and hydrological projections. For reaching this objective, a novel methodology for building Regional Climate Models (RCMs) ensembles of meteorological variables (rainfall an temperatures), was applied. RCMs ensembles are justified for increasing the reliability of climate and hydrological projections. The evaluation of RCMs goodness-of-fit to build the ensemble is based on empirical probability density functions (PDF) extracted from both RCMs dataset and a highly resolution gridded observational dataset, for the time period 1961-1990. The applied method is considering the seasonal and annual variability of the rainfall and temperatures. The RCMs ensembles constitute the input to a distributed hydrological model at basin scale, for assessing the runoff projections. The selected hydrological model is presenting few parameters in order to reduce the uncertainties involved. The study basin corresponds to a head basin of Segura River Basin, located in the South East of Spain. The impacts on runoff and its trend from observational dataset and climate projections, were assessed. Considering the control period 1961-1990, plausible significant decreases in runoff for the time period 2021-2050, were identified.

Application of expert system to nuclear power plant operation and guidance system

International Nuclear Information System (INIS)

Goto, M.; Takada, Y.

1990-01-01

For a nuclear power plant, it is important that an expert system supplies useful information to the operator to meet the increasing demand for high-level plant operation. It is difficult to build a user-friendly expert system that supplies useful information in real time using existing general-purpose expert system shells. Therefore a domain-specific expert system shell with a useful knowledge representation for problem-solving in nuclear power plant operation was selected. The Plant Table (P/T) representation format was developed for description of a production system for nuclear power plant operation knowledge. The P/T consists of plant condition representation designed to process multiple inputs and single output. A large number of operation inputs for several plant conditions are divided into 'timing conditions', 'preconditions' and 'completion conditions' to facilitate knowledge-base build-up. An expert system for a Nuclear Power Plant Operation and Guidance System utilizing the P/T was developed to assist automatic plant operation and surveillance test operation. In these systems, automatic plant operation signals to the plant equipment and operation guidance messages to the operators are both output based on the processing and assessment of plant operation conditions by the P/T. A surveillance test procedure guide for major safety-related systems, such as those for emergency core cooling systems, is displayed on a CRT (Cathode Ray Tube) and test results are printed out. The expert system for a Nuclear Power Plant Operation and Guidance System has already been successfully applied to Japanese BWR plants

Seismic source zone characterization for the seismic hazard assessment project PEGASOS by the Expert Group 2 (EG1b)

International Nuclear Information System (INIS)

Burkhard, M.; Gruenthal, G.

2009-01-01

A comprehensive study of the seismic hazard related to the four NNP sites in NW Switzerland was performed within the project PEGASOS. To account for the epistemic uncertainties involved in the process of the characterization of seismic source zones in the frame of probabilistic seismic hazard assessments, four different expert teams have developed and defended their models in the frame of an intensive elicitation process. Here, the results of one out of four expert groups are presented. The model of this team is based first of all on considerations regarding the large scale tectonics in the context of the Alpine collision, and neotectonic constraints for defining seismic source zones. This leads to a large scale subdivision based on the structural 'architectural' considerations with little input from the present seismicity. Each of the eight large zones was characterized by the style of present-day faulting, fault orientation, and hypo central depth distribution. A further subdivision of the larger zones is performed based on information provided by the seismicity patterns. 58 small source zones have been defined in this way, each of them characterized by the available tectonic constrains, as well as the pros and cons of different existing geologic views connected to them. Of special concern in this respect were the discussion regarding thin skinned vs. thick skinned tectonics, the tectonic origin of the 1356 Basel earthquake, the role of the Permo-Carboniferous graben structures, and finally the seismogenic orientation of faults with respect to the recent crustal stress field. The uncertainties connected to the delimitations of the small source zones have been handled in form of their regrouping, formalized by the logic tree technique. The maximum magnitudes were estimated as discretized probability distribution functions. After de-clustering the used ECOS earthquake catalogue and an analysis of data completeness as a function of time the parameters of the

Applied Genomics of Foodborne Pathogens

DEFF Research Database (Denmark)

and customized source of information designed for and accessible to microbiologists interested in applying cutting-edge genomics in food safety and public health research. This book fills this void with a well-selected collection of topics, case studies, and bioinformatics tools contributed by experts......This book provides a timely and thorough snapshot into the emerging and fast evolving area of applied genomics of foodborne pathogens. Driven by the drastic advance of whole genome shot gun sequencing (WGS) technologies, genomics applications are becoming increasingly valuable and even essential...... at the forefront of foodborne pathogen genomics research....

Applied analysis and differential equations

CERN Document Server

Cârj, Ovidiu

2007-01-01

This volume contains refereed research articles written by experts in the field of applied analysis, differential equations and related topics. Well-known leading mathematicians worldwide and prominent young scientists cover a diverse range of topics, including the most exciting recent developments. A broad range of topics of recent interest are treated: existence, uniqueness, viability, asymptotic stability, viscosity solutions, controllability and numerical analysis for ODE, PDE and stochastic equations. The scope of the book is wide, ranging from pure mathematics to various applied fields such as classical mechanics, biomedicine, and population dynamics.

Trendwatch combining expert opinion

NARCIS (Netherlands)

Hendrix, E.M.T.; Kornelis, M.; Pegge, S.M.; Galen, van M.A.

2006-01-01

In this study, focus is on a systematic way to detect future changes in trends that may effect the dynamics in the agro-food sector, and on the combination of opinions of experts. For the combination of expert opinions, the usefulness of multilevel models is investigated. Bayesian data analysis is

Mapping on complex neutrosophic soft expert sets

Science.gov (United States)

Al-Quran, Ashraf; Hassan, Nasruddin

2018-04-01

We introduce the mapping on complex neutrosophic soft expert sets. Further, we investigated the basic operations and other related properties of complex neutrosophic soft expert image and complex neutrosophic soft expert inverse image of complex neutrosophic soft expert sets.

Expert communication link management: overview and progress

Science.gov (United States)

Dunkelberger, Kirk A.

1998-08-01

Consider the downsizing of our forces, the increasing complexity of our tactical platforms, and the ever widening array of communication options and the conclusion is inevitable. The need for automated support to reduce communication-related workload is critical to continued task force effectiveness. In a previous era, communication management expertise resided solely in the form of human experts. These experts flew with the pilots, providing the most effective means of communication in real time; they have since been removed from a great number of platforms due to force downsizing and real estate value in the cockpit. This burden has typically been shifted to the pilot, providing another set of tasks in an environment which is already far too taxing. An Expert Communication Link Manger (ECLM) is required -- a trusted, reliable assistant which can determine optimal link, channel, and waveform data for the communication requirements at hand and translate those requirements transparently into communication device control. Technologies are at hand which make ECLM possible; the mixture of these elements in the correct proportions can provide a capable, deployable, and cost effective ECLM in the near term. This paper describes specific applied ECLM research work in progress funded by the USAF under a four year effort. Operational objectives, technical objectives, a reference design, and technical excursions within the broad ECLM scope will be discussed in detail. Results of prototypes built to date in the area of communication inference from speech understanding, dynamic adaptive routing, and packet switching networks in the tactical environment will be presented.

THE USE OF EXPERT SYSTEMS IN RURAL TOURISM IN MARAMURES

Directory of Open Access Journals (Sweden)

Moisuc Diana-Aderina

2011-12-01

Full Text Available The existing accommodation in the rural Maramures region is essential for the development of tourism. Most accommodation units are within the typology of rural tourist hostels, therefore special attention should be paid to promote and diversify their touristic offers. Despite its attractive potential, the rural tourism in Maramures has its weaknesses because there is no organizational strategy for its deployment. Tour operators must adopt new solutions to promote tourist services, one of which may be using expert systems.The main purpose of this study is to develop a model of an expert system, applying new methodological approaches to the evaluation and ranking of countryside hostels in Maramures. This model can be easily implemented with private and public entities and could be a source of significant benefits for them. Scientific literature in the field highlights the benefits of using expert systems in all business sectors and reinforces our conviction that they can be applied extensively in tourism as well. The research methodology included: defining the nature and scope of the problem, identifying experts, acquiring knowledge, selecting the system building tools, as well as encoding and evaluating the system. In the knowledge acquisition phase we used interviews, thus obtaining a database with information on countryside hostels in Maramures. We turned to tourism professionals to establish expert rules in a way that reflects as accurately and completely as possible the context. These rules led to the encoding of the system. In order to encode them, we used the Corvid system, developed by Exsys, which was verified and validated. The system, once designed, provides a user-friendly interface. After being implemented in specialized sites, the system will be able to facilitate searching and finding information by users. We propose that the model obtained will be a starting point for further research, given that the development environment allows

Basic foundations of phthisiology professionalization in the assessment of experts

Directory of Open Access Journals (Sweden)

Alenin P.N.

2016-12-01

Full Text Available The aim of the work is to study the conditions and stereotypes that determine the process of professionalization in the field of phthisiology. The main factors have been analyzed that characterize the situation of ТВ as a public health sphere in Russia. Material and Methods. Applying qualitative research strategy — semi-structured expert interviews. The basis of the study is the expert opinion of practitioners in the field of ТВ: ТВ service specialists of Saratov Region (Regional Clinical ТВ Dispensary in Saratov and lecturers of the department of Phthisiopulmonology of Saratov State Medical University n.a. V. I. Razumovsky (n=10. Results. The article presents research materials, aimed at identifying the specifics of the basic foundations of national ТВ professionalization. The main factors of vocational choice include a personal interest in the profession, value preferences, information availability, safety and the risk of occupational diseases, the contingent of patients. Conclusion. On the basis of expert opinion the influence of endogenous and exogenous factors to assess ТВ status of the professional medical community, as well as students — physicians in the context of their future professional socialization have been described.

Development of expert system for structural design of FBR components

International Nuclear Information System (INIS)

Ueda, Hiroyoshi; Uno, Masayoshi; Ogawa, Hiroshi; Shimakawa, Takashi; Yoshimura, Shinobu; Yagawa, Genki.

1995-01-01

The characteristics of structural design processes for nuclear components can be summarized as follows : (1) Many engineers belonging to different fields are working in parallel, exchanging a huge amount of data and information. (2) A final solution is determined after a number of iterative design processes. (3) Solutions have to be examined many times based on sophisticated design codes. (4) Sophisticated calculation methods such as the finite element method are frequently utilized, and experts' knowledge on such analyses plays important roles in the design process. Taking these issues into consideration, a new expert system for structural design is developed in the present study. Here, the object-oriented data flow mechanism and the blackboard model are utilized to systematize structural design processes in a computer. An automated finite element calculation module is implemented, and experts' knowledge is stored in knowledge base. In addition, a new algorithm is employed to automatically draw the design window, which is defined as an area of permissible solutions in a design parameter space. The developed system is successfully applied to obtain the design windows of four components selected from the demonstration FBR structures. (author)

Improving conservation outcomes with insights from local experts and bureaucracies.

Science.gov (United States)

Haenn, Nora; Schmook, Birgit; Reyes, Yol; Calmé, Sophie

2014-08-01

We describe conservation built on local expertise such that it constitutes a hybrid form of traditional and bureaucratic knowledge. Researchers regularly ask how local knowledge might be applied to programs linked to protected areas. By examining the production of conservation knowledge in southern Mexico, we assert local expertise is already central to conservation. However, bureaucratic norms and social identity differences between lay experts and conservation practitioners prevent the public valuing of traditional knowledge. We make this point by contrasting 2 examples. The first is a master's thesis survey of local experts regarding the biology of the King Vulture (Sarcoramphus papa) in which data collection took place in communities adjacent to the Calakmul Biosphere Reserve. The second is a workshop sponsored by the same reserve that instructed farmers on how to monitor endangered species, including the King Vulture. In both examples, conservation knowledge would not have existed without traditional knowledge. In both examples, this traditional knowledge is absent from scientific reporting. On the basis of these findings, we suggest conservation outcomes may be improved by recognizing the knowledge contributions local experts already make to conservation programming. © 2014 Society for Conservation Biology.

Artificial intelligence and expert systems in-flight software testing

Science.gov (United States)

Demasie, M. P.; Muratore, J. F.

1991-01-01

The authors discuss the introduction of advanced information systems technologies such as artificial intelligence, expert systems, and advanced human-computer interfaces directly into Space Shuttle software engineering. The reconfiguration automation project (RAP) was initiated to coordinate this move towards 1990s software technology. The idea behind RAP is to automate several phases of the flight software testing procedure and to introduce AI and ES into space shuttle flight software testing. In the first phase of RAP, conventional tools to automate regression testing have already been developed or acquired. There are currently three tools in use.

Promoting environmental sustainability via an expert elicitation process

International Nuclear Information System (INIS)

Swor, Tom; Canter, Larry

2011-01-01

Environmental sustainability (ES) planning was applied to the 981-mile, commercially navigable Ohio River. Navigation improvement needs were identified within the broad study along with actions to restore aquatic and riparian ecological resources to a higher state of sustainability. The actions were identified via an Expert Elicitation Process (EEP) involving aquatic and riparian/terrestrial experts knowledgeable of Ohio River resources. The received information was synthesized into goals for the selected resources (Valued Ecosystem Components - or VECs), actions or measures to attain the goals, and monitoring to evaluate conditions. Finally, 26 types of ES actions were identified and classified into three ES alternatives. These alternatives were then evaluated relative to key decision criteria, and such evaluations, based on pertinent decision criteria, were also conducted for four navigation improvement alternatives. Finally, the best combination of ES and navigation alternatives was identified. The key lessons derived from this use of EEP were that: (1) EEP can support the preliminary identification of ES measures; however, more detailed study of specific designs and cost evaluations will be necessary; (2) the method promotes collaboration between key scientists and policymakers from governmental agencies and private sectors, and such collaboration will ultimately provide the foundation for implementation of sustainability actions; and (3) an effective EEP does not occur by accident, it requires careful planning, implementation, and documentation. - Research Highlights: → Use of an Expert Elicitation Process (EEP) is demonstrated in this study. → EEP was used to identify Environmental Sustainability (ES) needs for the Ohio River. → EEP helped develop consensus among resource experts on ES needs. → EEP promotes collaboration to identify and contribute to common resource goals. → EEP may be used in assessing cumulative effects and formulating restoration

Catalog of Investment Projects in Bulgaria

Energy Technology Data Exchange (ETDEWEB)

NONE

2011-10-15

This catalog includes information about 129 potential investment projects in Bulgaria and was developed by a team of experts from InvestBulgaria Agency in cooperation with municipalities and private companies. The document presents in brief general facts about the regions in Bulgaria. Projects are divided into the following categories: Tourism, Manufacturing, Urban Planning, Real Estate, Environment and renewable energy sources, Commerce, and Innovative and creative projects. The catalog provides detailed information about each project such as: status of the project, location, ownership, infrastructure, estimated value, contact information, etc.

Methods Dealing with Complexity in Selecting Joint Venture Contractors for Large-Scale Infrastructure Projects

Directory of Open Access Journals (Sweden)

Ru Liang

2018-01-01

Full Text Available The magnitude of business dynamics has increased rapidly due to increased complexity, uncertainty, and risk of large-scale infrastructure projects. This fact made it increasingly tough to “go alone” into a contractor. As a consequence, joint venture contractors with diverse strengths and weaknesses cooperatively bid for bidding. Understanding project complexity and making decision on the optimal joint venture contractor is challenging. This paper is to study how to select joint venture contractors for undertaking large-scale infrastructure projects based on a multiattribute mathematical model. Two different methods are developed to solve the problem. One is based on ideal points and the other one is based on balanced ideal advantages. Both of the two methods consider individual difference in expert judgment and contractor attributes. A case study of Hong Kong-Zhuhai-Macao-Bridge (HZMB project in China is used to demonstrate how to apply these two methods and their advantages.

A law for nuclear experts only

International Nuclear Information System (INIS)

Wagner, H.

1980-01-01

The Federal Ministry of the Interior is preparing an ordinance on expert consultants under the Atomic Energy Act which, among other topics, is to include legal norms for the criteria to be met by experts in terms of non-partisanship, training, capabilities, technical equipment and cooperation in expert organizations of members of various scientific and technical disciplines. A summary of general criteria relating to the qualification, selection and status of experts called in by the legislative and executive branches and by courts of law, which could be organized as a series of guidelines without any original qualities of legal norms, could be recommended in view of the increasing quantitative and qualitative importance of experts. However, passing an ordinance merely fixing and putting into concrete terms the image of an 'expert under the Atomic Energy Act' is intolerable, because the status of scientific and technical experts by far extends beyond the field of nuclear law in our industrial society characterized by a far reaching division of labor. Weak points in the organization of expert services are not confined to technology or nuclear power. Separate rules establishing legal norms are not convincing also for reasons of technology policy and legal policy as well as for those of social psychology and practice. (orig.) 891 HP/orig. 892 MKO [de

An expert system for pressurized water reactor load maneuvers

International Nuclear Information System (INIS)

Chaung Lin; Jungping Chen; Yihjiunn Lin; Lianshin Lin

1993-01-01

Restartup after reactor shutdown and load-follow operations are the important tasks in operating pressurized water reactors. Generally, the most efficient method is to apply constant axial offset control (CAOC) strategy during load maneuvers. An expert system using CAOC strategy, fuzzy reasoning, a two-node core model, and operational constraints has been developed. The computation time is so short that this system, which leads to an approximate closed-loop control, could be useful for on-site calculation

Use of an expert system data analysis manager for space shuttle main engine test evaluation

Science.gov (United States)

Abernethy, Ken

1988-01-01

The ability to articulate, collect, and automate the application of the expertise needed for the analysis of space shuttle main engine (SSME) test data would be of great benefit to NASA liquid rocket engine experts. This paper describes a project whose goal is to build a rule-based expert system which incorporates such expertise. Experiential expertise, collected directly from the experts currently involved in SSME data analysis, is used to build a rule base to identify engine anomalies similar to those analyzed previously. Additionally, an alternate method of expertise capture is being explored. This method would generate rules inductively based on calculations made using a theoretical model of the SSME's operation. The latter rules would be capable of diagnosing anomalies which may not have appeared before, but whose effects can be predicted by the theoretical model.

Risk management in a large-scale CO2 geosequestration pilot project, Illinois, USA

Science.gov (United States)

Hnottavange-Telleen, K.; Chabora, E.; Finley, R.J.; Greenberg, S.E.; Marsteller, S.

2011-01-01

Like most large-scale infrastructure projects, carbon dioxide (CO 2) geological sequestration (GS) projects have multiple success criteria and multiple stakeholders. In this context "risk evaluation" encompasses multiple scales. Yet a risk management program aims to maximize the chance of project success by assessing, monitoring, minimizing all risks in a consistent framework. The 150,000-km2 Illinois Basin underlies much of the state of Illinois, USA, and parts of adjacent Kentucky and Indiana. Its potential for CO2 storage is first-rate among basins in North America, an impression that has been strengthened by early testing of the injection well of the Midwest Geological Sequestration Consortium's (MGSC's) Phase III large scale demonstration project, the Illinois Basin - Decatur Project (IBDP). The IBDP, funded by the U.S. Department of Energy's National Energy Technology Laboratory (NETL), represents a key trial of GS technologies and project-management techniques. Though risks are specific to each site and project, IBDP risk management methodologies provide valuable experience for future GS projects. IBDP views risk as the potential for negative impact to any of these five values: health and safety, environment, financial, advancing the viability and public acceptability of a GS industry, and research. Research goals include monitoring one million metric tonnes of injected CO2 in the subsurface. Risk management responds to the ways in which any values are at risk: for example, monitoring is designed to reduce uncertainties in parameter values that are important for research and system control, and is also designed to provide public assurance. Identified risks are the primary basis for risk-reduction measures: risks linked to uncertainty in geologic parameters guide further characterization work and guide simulations applied to performance evaluation. Formally, industry defines risk (more precisely risk criticality) as the product L*S, the Likelihood multiplied

Extending an emergency classification expert system to the real-time environment

International Nuclear Information System (INIS)

Greene, K.R.; Robinson, A.H.

1990-01-01

The process of determining emergency action level (EAL) during real or simulated emergencies at the Trojan nuclear power plant was automated in 1988 with development of the EM-CLASS expert system. This system serves to replace the manual flip-chart method of determining the EAL. While the task of performing the classification is more reliable when using EM-CLASS, it still takes as long to determine the appropriate EAL with EM-CLASS as it does with the flowchart tracing method currently in use. During a plant emergency, an environment will exist where there are not enough resources to complete all of the desired tasks. To change this condition, some tasks must be accomplished with greater efficiency. The EM-CLASS application may be improved by taking advantage of the fact that most of the responses to the questions in the emergency classification procedure, EP-001, are available directly from plant measurements. This information could be passed to the expert system electronically. A prototype demonstration of a real-time emergency classification expert system has been developed. It repetitively performs the consultation, acquiring the necessary data electronically when possible and from the user when electronic data are unavailable. The expert system is being tested with scenarios from the drills and graded exercises that have taken place at the Trojan nuclear power plant. The goal of this project is to install the system on the plant simulator and/or the plant computer

Experts' understanding of partial derivatives using the Partial Derivative Machine

OpenAIRE

Roundy, David; Dorko, Allison; Dray, Tevian; Manogue, Corinne A.; Weber, Eric

2014-01-01

Partial derivatives are used in a variety of different ways within physics. Most notably, thermodynamics uses partial derivatives in ways that students often find confusing. As part of a collaboration with mathematics faculty, we are at the beginning of a study of the teaching of partial derivatives, a goal of better aligning the teaching of multivariable calculus with the needs of students in STEM disciplines. As a part of this project, we have performed a pilot study of expert understanding...

Operational expert system applications in Europe

CERN Document Server

Zarri, Gian Piero

1992-01-01

Operational Expert System Applications in Europe describes the representative case studies of the operational expert systems (ESs) that are used in Europe.This compilation provides examples of operational ES that are realized in 10 different European countries, including countries not usually examined in the standard reviews of the field.This book discusses the decision support system using several artificial intelligence tools; expert systems for fault diagnosis on computerized numerical control (CNC) machines; and expert consultation system for personal portfolio management. The failure prob

Expert assessment of preventive measures in the zone of guaranteed voluntary resettlement.

Science.gov (United States)

Ozerova, I I; Prilipko, V A; Myshkovska, A A

2013-01-01

An expert evaluation of preventive measures focused on population health maintenance in the zone of guaranteed voluntary resettlement taking into account the limitations of the provisions of certain articles of the Law of Ukraine on the clean-up of the Chornobyl disaster aftermath. The research survey was applied using a peer review method. The three-level (national, regional, district) expert workgroup was involved been employed within recovery of the Chornobyl disaster aftermath. Professional experience of minimum 10 years, corresponding profile and current position were the requirements for selection. A simple streamlining the values of paired or consistent comparison was applied on the primary empirical data. The arrangements made in recent years by the Cabinet of Ministers of Ukraine and ministries engaged in clean-up and recovery from the Chornobyl nuclear power plant accident are ineffective. Costs from the Fund for the implementation of measures to clean-up the consequences of the Chornobyl disaster and social protection are reduced. There is no consensus among experts regarding some constraint of an action of certain articles of the Law of Ukraine "On the status and social protection of citizens affected by the Chornobyl disaster" on the principles of social protection and healthcare of the population living in contaminated areas. In addressing the social and health consequences of the Chornobyl disaster the Verkhovna Rada of Ukraine just for a long time has passes no amendment to the legislation on the subject. At that there are several restrictions in force for a large number of articles of the existing laws that were adopted in 1991. The mentioned above exacerbates social strain and destroys the "citizen-state relationship". The extreme need has emerged in a comprehensive public review of existing laws with involvement of multidisciplinary group of experts to a "round table" to justify the draft laws. Ozerova Ju. Ju., Prylypko V. A., Myshkovska A. A

Projection and enterprises controlling in domestic waste water econom

Directory of Open Access Journals (Sweden)

Schröder Reinhard

2000-03-01

Full Text Available The development of the cost of communal waste water disposal is widely discussed among the population, among politicians and experts. Not only the absolute amount of the charged fees are the cause of concern, but also their increase over the last few years. As part of this thesis, the PC software SloVaKon, which facilitates project and operation decision, will be designed to apply the experience gained during the building and expansion of the waste water industry in Germany´s five new federal states to the conditions in the Slovak republic. For this, a comparison of both country´s topographical, technical, legal and economical conditions proved necessary.

Comparing experts and novices in Martian surface feature change detection and identification

Science.gov (United States)

Wardlaw, Jessica; Sprinks, James; Houghton, Robert; Muller, Jan-Peter; Sidiropoulos, Panagiotis; Bamford, Steven; Marsh, Stuart

2018-02-01

Change detection in satellite images is a key concern of the Earth Observation field for environmental and climate change monitoring. Satellite images also provide important clues to both the past and present surface conditions of other planets, which cannot be validated on the ground. With the volume of satellite imagery continuing to grow, the inadequacy of computerised solutions to manage and process imagery to the required professional standard is of critical concern. Whilst studies find the crowd sourcing approach suitable for the counting of impact craters in single images, images of higher resolution contain a much wider range of features, and the performance of novices in identifying more complex features and detecting change, remains unknown. This paper presents a first step towards understanding whether novices can identify and annotate changes in different geomorphological features. A website was developed to enable visitors to flick between two images of the same location on Mars taken at different times and classify 1) if a surface feature changed and if so, 2) what feature had changed from a pre-defined list of six. Planetary scientists provided ;expert; data against which classifications made by novices could be compared when the project subsequently went public. Whilst no significant difference was found in images identified with surface changes by expert and novices, results exhibited differences in consensus within and between experts and novices when asked to classify the type of change. Experts demonstrated higher levels of agreement in classification of changes as dust devil tracks, slope streaks and impact craters than other features, whilst the consensus of novices was consistent across feature types; furthermore, the level of consensus amongst regardless of feature type. These trends are secondary to the low levels of consensus found, regardless of feature type or classifier expertise. These findings demand the attention of researchers who

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support.

Science.gov (United States)

Gibert, Karina; García-Alonso, Carlos; Salvador-Carulla, Luis

2010-09-30

Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK) to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR). In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. EbCA is a new methodology composed by 6 steps:. 1) Data collection and data preparation; 2) acquisition of "Prior Expert Knowledge" (PEK) and design of the "Prior Knowledge Base" (PKB); 3) PKB-guided analysis; 4) support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited); 5) incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6) post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering), applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. This paper presents EbCA and shows the convenience of

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support

Directory of Open Access Journals (Sweden)

García-Alonso Carlos

2010-09-01

Full Text Available Abstract Background Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. Method This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA, which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1 Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA, and 2 Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR. In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. Results EbCA is a new methodology composed by 6 steps:. 1 Data collection and data preparation; 2 acquisition of "Prior Expert Knowledge" (PEK and design of the "Prior Knowledge Base" (PKB; 3 PKB-guided analysis; 4 support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited; 5 incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6 post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering, applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. Discussion This

An inter-observer agreement study of autofluorescence endoscopy in Barrett's esophagus among expert and non-expert endoscopists.

Science.gov (United States)

Mannath, J; Subramanian, V; Telakis, E; Lau, K; Ramappa, V; Wireko, M; Kaye, P V; Ragunath, K

2013-02-01

Autofluorescence imaging (AFI), which is a "red flag" technique during Barrett's surveillance, is associated with significant false positive results. The aim of this study was to assess the inter-observer agreement (IOA) in identifying AFI-positive lesions and to assess the overall accuracy of AFI. Anonymized AFI and high resolution white light (HRE) images were prospectively collected. The AFI images were presented in random order, followed by corresponding AFI + HRE images. Three AFI experts and 3 AFI non-experts scored images after a training presentation. The IOA was calculated using kappa and accuracy was calculated with histology as gold standard. Seventy-four sets of images were prospectively collected from 63 patients (48 males, mean age 69 years). The IOA for number of AF positive lesions was fair when AFI images were presented. This improved to moderate with corresponding AFI and HRE images [experts 0.57 (0.44-0.70), non-experts 0.47 (0.35-0.62)]. The IOA for the site of AF lesion was moderate for experts and fair for non-experts using AF images, which improved to substantial for experts [κ = 0.62 (0.50-0.72)] but remained at fair for non-experts [κ = 0.28 (0.18-0.37)] with AFI + HRE. Among experts, the accuracy of identifying dysplasia was 0.76 (0.7-0.81) using AFI images and 0.85 (0.79-0.89) using AFI + HRE images. The accuracy was 0.69 (0.62-0.74) with AFI images alone and 0.75 (0.70-0.80) using AFI + HRE among non-experts. The IOA for AF positive lesions is fair to moderate using AFI images which improved with addition of HRE. The overall accuracy of identifying dysplasia was modest, and was better when AFI and HRE images were combined.

Applying EVM principles to Tevatron Beam Position Monitor Project

International Nuclear Information System (INIS)

Banerjee, Bakul

2005-01-01

At Fermi National Accelerator Laboratory (Fermilab), the Tevatron high energy particle collider must meet the increasing scientific demand of higher beam luminosity. To achieve this higher luminosity goal, U. S. Department of Energy (DOE) sponsored a major upgrade of capabilities of Fermilab's accelerator complex that spans five years and costs over fifty million dollars. Tevatron Beam Position Monitor (BPM) system upgrade is a part of this project, generally called RunII upgrade project. Since the purpose of the Tevatron collider is to detect the smashing of proton and anti-protons orbiting the circular accelerator in opposite directions, capability to detect positions of both protons and antiprotons at a high resolution level is a desirable functionality of the monitoring system. The original system was installed during early 1980s, along with the original construction of the Tevatron. However, electronic technology available in 1980s did not allow for the detection of significantly smaller resolution of antiprotons. The objective of the upgrade project is to replace the existing BPM system with a new system utilizing capabilities of modern electronics enhanced by a front-end software driven by a real-time operating software. The new BPM system is designed to detect both protons and antiprotons with increased resolution of up to an order of magnitude. The new system is capable of maintaining a very high-level of data integrity and system reliability. The system consists of 27 VME crates installed at 27 service buildings around the Tevatron ring servicing 236 beam position monitors placed underground, inside the accelerator tunnel. Each crate consists of a single Timing Generator Fanout module, custom made by Fermilab staff, one MVME processor card running VxWorks 5.5, multiple Echotek Digital Receiver boards complimented by custom made Filter Board. The VxWorks based front-end software communicates with the Main Accelerator Control software via a special

A survey of Framatome's expert systems activity

International Nuclear Information System (INIS)

Delaigue, D.; Grundstein, M.

1987-01-01

The French multinational nuclear energy world leader, Framatome, has designed and installed more than 40000 MWe of power in both France and abroad using Pressurized Water Reactor (PWR) technology. The French nuclear program ranks as one of the most successful in the world. In 1983, Framatome entered the Applied Artificial Intelligence (A.I.) field by setting up FRAMENTEC S.A., a joint venture with TEKNOWLEDGE Inc. Today, Framentec is a wholly-owned subsidiary of Framatome and is among the leading European companies specializing in Applied Artificial Intelligence. Framatome now has a 7.5% stake in Teknowledge Inc. The main applications in the nuclear industry can be summarized as follows: quality assurance; design of systems subject to extreme operating conditions; maintenance of complex systems; control of complex phenomenon producing high velocity transients; expert advice in multiple fields; compliance with complex regulations; high-skill personnel requirements; heavy financial investments

Intelligent data retrieval in the industry experience advisor expert system

International Nuclear Information System (INIS)

Swisshelm, J.D.

1991-01-01

ABB Impell Corporation developed a prototype expert system called the Industry Experience Advisor for Florida Power and Light Company. This expert system assists plant engineers in evaluating design changes against previous nuclear industry experience. Previous experience is in the form of root causes or lessons learned of past events. The root-cause statements were developed from an engineering review of important event documents [US Nuclear Regulatory Commission information notices (INs) and information bulletins (IBs) and the Institute of Nuclear Power Operations safety evaluation reports and significant operating experience reports]. This paper describes the project that is currently expanding the prototype into a production system for use at a nuclear plant site. The Industry Experience Advisor should be ready for production release by the end of 1991. It will include knowledge of important events through 1990. In 1992 and in each following year, an update will be released adding the previous year's events

Applying Interpretive Structural Modeling to Cost Overruns in Construction Projects in the Sultanate of Oman

Directory of Open Access Journals (Sweden)

K. Alzebdeh

2015-06-01

Full Text Available Cost overruns in construction projects are a problem faced by project managers, engineers, and clients throughout the Middle East.  Globally, several studies in the literature have focused on identifying the causes of these overruns and used statistical methods to rank them according to their impacts. None of these studies have considered the interactions among these factors. This paper examines interpretive structural modelling (ISM as a viable technique for modelling complex interactions among factors responsible for cost overruns in construction projects in the Sultanate of Oman. In particular, thirteen interrelated factors associated with cost overruns were identified, along with their contextual interrelationships. Application of ISM leads to organizing these factors in a hierarchical structure which effectively demonstrates their interactions in a simple way. Four factors were found to be at the root of cost overruns: instability of the US dollar, changes in governmental regulations, faulty cost estimation, and poor coordination among projects’ parties. Taking appropriate actions to minimize the influence of these factors can ultimately lead to better control of future project costs. Thisstudy is of value to managers and decision makers because it provides a powerful yet very easy to apply approach for investigating the problem of cost overruns and other similar issues.

The First Expert CAI System

Science.gov (United States)

Feurzeig, Wallace

1984-01-01

The first expert instructional system, the Socratic System, was developed in 1964. One of the earliest applications of this system was in the area of differential diagnosis in clinical medicine. The power of the underlying instructional paradigm was demonstrated and the potential of the approach for valuably supplementing medical instruction was recognized. Twenty years later, despite further educationally significant advances in expert systems technology and enormous reductions in the cost of computers, expert instructional methods have found very little application in medical schools.

Solving black box computation problems using expert knowledge theory and methods

International Nuclear Information System (INIS)

Booker, Jane M.; McNamara, Laura A.

2004-01-01

The challenge problems for the Epistemic Uncertainty Workshop at Sandia National Laboratories provide common ground for comparing different mathematical theories of uncertainty, referred to as General Information Theories (GITs). These problems also present the opportunity to discuss the use of expert knowledge as an important constituent of uncertainty quantification. More specifically, how do the principles and methods of eliciting and analyzing expert knowledge apply to these problems and similar ones encountered in complex technical problem solving and decision making? We will address this question, demonstrating how the elicitation issues and the knowledge that experts provide can be used to assess the uncertainty in outputs that emerge from a black box model or computational code represented by the challenge problems. In our experience, the rich collection of GITs provides an opportunity to capture the experts' knowledge and associated uncertainties consistent with their thinking, problem solving, and problem representation. The elicitation process is rightly treated as part of an overall analytical approach, and the information elicited is not simply a source of data. In this paper, we detail how the elicitation process itself impacts the analyst's ability to represent, aggregate, and propagate uncertainty, as well as how to interpret uncertainties in outputs. While this approach does not advocate a specific GIT, answers under uncertainty do result from the elicitation

Embedding Human Expert Cognition Into Autonomous UAS Trajectory Planning.

Science.gov (United States)

Narayan, Pritesh; Meyer, Patrick; Campbell, Duncan

2013-04-01

This paper presents a new approach for the inclusion of human expert cognition into autonomous trajectory planning for unmanned aerial systems (UASs) operating in low-altitude environments. During typical UAS operations, multiple objectives may exist; therefore, the use of multicriteria decision aid techniques can potentially allow for convergence to trajectory solutions which better reflect overall mission requirements. In that context, additive multiattribute value theory has been applied to optimize trajectories with respect to multiple objectives. A graphical user interface was developed to allow for knowledge capture from a human decision maker (HDM) through simulated decision scenarios. The expert decision data gathered are converted into value functions and corresponding criteria weightings using utility additive theory. The inclusion of preferences elicited from HDM data within an automated decision system allows for the generation of trajectories which more closely represent the candidate HDM decision preferences. This approach has been demonstrated in this paper through simulation using a fixed-wing UAS operating in low-altitude environments.

Which Type of Project Manager are You?

DEFF Research Database (Denmark)

2017-01-01

Which type of project manager best describes you — are you a prophet, gambler, expert or executor? Take this twelve-question quiz to find out right now. There are no wrong answers, but the result may surprise you — and understanding your personal strength can help guide your career and project...

Expert robots in nuclear plants

International Nuclear Information System (INIS)

Byrd, J.S.; Fisher, J.J.; DeVries, K.R.; Martin, T.P.

1987-01-01

Expert robots enhance a safety and operations in nuclear plants. E.I. du Pont de Nemours and Company, Savannah River Laboratory, is developing expert mobile robots for deployment in nuclear applications at the Savannah River Plant. Knowledge-based expert systems are being evaluated to simplify operator control, to assist in navigation and manipulation functions, and to analyze sensory information. Development work using two research vehicles is underway to demonstrate semiautonomous, intelligence, expert robot system operation in process areas. A description of the mechanical equipment, control systems, and operating modes is presented, including the integration of onboard sensors. A control hierarchy that uses modest computational methods is being used to allow mobile robots to autonomously navigate and perform tasks in known environments without the need for large computer systems

Expert robots in nuclear plants

International Nuclear Information System (INIS)

Byrd, J.S.; Fisher, J.J.; DeVries, K.R.; Martin, T.P.

1987-01-01

Expert robots will enhance safety and operations in nuclear plants. E. I. du Pont de Nemours and Company, Savannah River Laboratory, is developing expert mobile robots for deployment in nuclear applications at the Savannah River Plant. Knowledge-based expert systems are being evaluated to simplify operator control, to assist in navigation and manipulation functions, and to analyze sensory information. Development work using two research vehicles is underway to demonstrate semiautonomous, intelligent, expert robot system operation in process areas. A description of the mechanical equipment, control systems, and operating modes is presented, including the integration of onboard sensors. A control hierarchy that uses modest computational methods is being used to allow mobile robots to autonomously navigate and perform tasks in known environments without the need for large computer systems

Expert database system for quality control

Science.gov (United States)

Wang, Anne J.; Li, Zhi-Cheng

1993-09-01

There are more competitors today. Markets are not homogeneous they are fragmented into increasingly focused niches requiring greater flexibility in the product mix shorter manufacturing production runs and above allhigher quality. In this paper the author identified a real-time expert system as a way to improve plantwide quality management. The quality control expert database system (QCEDS) by integrating knowledge of experts in operations quality management and computer systems use all information relevant to quality managementfacts as well as rulesto determine if a product meets quality standards. Keywords: expert system quality control data base

A condition metric for Eucalyptus woodland derived from expert evaluations.

Science.gov (United States)

Sinclair, Steve J; Bruce, Matthew J; Griffioen, Peter; Dodd, Amanda; White, Matthew D

2018-02-01

The evaluation of ecosystem quality is important for land-management and land-use planning. Evaluation is unavoidably subjective, and robust metrics must be based on consensus and the structured use of observations. We devised a transparent and repeatable process for building and testing ecosystem metrics based on expert data. We gathered quantitative evaluation data on the quality of hypothetical grassy woodland sites from experts. We used these data to train a model (an ensemble of 30 bagged regression trees) capable of predicting the perceived quality of similar hypothetical woodlands based on a set of 13 site variables as inputs (e.g., cover of shrubs, richness of native forbs). These variables can be measured at any site and the model implemented in a spreadsheet as a metric of woodland quality. We also investigated the number of experts required to produce an opinion data set sufficient for the construction of a metric. The model produced evaluations similar to those provided by experts, as shown by assessing the model's quality scores of expert-evaluated test sites not used to train the model. We applied the metric to 13 woodland conservation reserves and asked managers of these sites to independently evaluate their quality. To assess metric performance, we compared the model's evaluation of site quality with the managers' evaluations through multidimensional scaling. The metric performed relatively well, plotting close to the center of the space defined by the evaluators. Given the method provides data-driven consensus and repeatability, which no single human evaluator can provide, we suggest it is a valuable tool for evaluating ecosystem quality in real-world contexts. We believe our approach is applicable to any ecosystem. © 2017 State of Victoria.

Expert systems in process control systems

International Nuclear Information System (INIS)

Wittig, T.

1987-01-01

To illustrate where the fundamental difference between expert systems in classical diagnosis and in industrial control lie, the work of process control instrumentation is used as an example for the job of expert systems. Starting from the general process of problem-solving, two classes of expert systems can be defined accordingly. (orig.) [de

Vulnerability of bridges to scour: insights from an international expert elicitation workshop

Science.gov (United States)

Lamb, Rob; Aspinall, Willy; Odbert, Henry; Wagener, Thorsten

2017-08-01

Scour (localised erosion) during flood events is one of the most significant threats to bridges over rivers and estuaries, and has been the cause of numerous bridge failures, with damaging consequences. Mitigation of the risk of bridges being damaged by scour is therefore important to many infrastructure owners, and is supported by industry guidance. Even after mitigation, some residual risk remains, though its extent is difficult to quantify because of the uncertainties inherent in the prediction of scour and the assessment of the scour risk. This paper summarises findings from an international expert workshop on bridge scour risk assessment that explores uncertainties about the vulnerability of bridges to scour. Two specialised structured elicitation methods were applied to explore the factors that experts in the field consider important when assessing scour risk and to derive pooled expert judgements of bridge failure probabilities that are conditional on a range of assumed scenarios describing flood event severity, bridge and watercourse types and risk mitigation protocols. The experts' judgements broadly align with industry good practice, but indicate significant uncertainty about quantitative estimates of bridge failure probabilities, reflecting the difficulty in assessing the residual risk of failure. The data and findings presented here could provide a useful context for the development of generic scour fragility models and their associated uncertainties.

Uncertainty in geological linework: communicating the expert's tacit model to the data user(s) by expert elicitation.

Science.gov (United States)

Lawley, Russell; Barron, Mark; Lee, Katy

2014-05-01

Uncertainty in geological linework: communicating the expert's tacit model to the data user(s) by expert elicitation. R. Lawley, M. Barron and K. Lee. NERC - British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, UK, NG12 5GG The boundaries mapped in traditional field geological survey are subject to a wide range of inherent uncertainties. A map at a survey-scale of 1:10,000 is created by a combination of terrain interpretation, direct observations from boreholes and exposures (often sparsely distributed), and indirect interpretation of proxy variables such as soil properties, vegetation and remotely sensed images. A critical factor influencing the quality of the final map is the skill and experience of the surveyor to bring this information together in a coherent conceptual model. The users of geological data comprising or based on mapped boundaries are increasingly aware of these uncertainties, and want to know how to manage them. The growth of 3D modelling, which takes 2D surveys as a starting point, adds urgency to the need for a better understanding of survey uncertainties; particularly where 2D mapping of variable vintage has been compiled into a national coverage. Previous attempts to apply confidence on the basis of metrics such as data density, survey age or survey techniques have proved useful for isolating single, critical, factors but do not generally succeed in evaluating geological mapping 'in the round', because they cannot account for the 'conceptual' skill set of the surveyor. The British Geological Survey (BGS) is using expert elicitation methods to gain a better understanding of uncertainties within the national geological map of Great Britain. The expert elicitation approach starts with the assumption that experienced surveyors have an intuitive sense of the uncertainty of the boundaries that they map, based on a tacit model of geology and its complexity and the nature of the surveying process. The objective of

Use of expert judgement in NUREG-1150

International Nuclear Information System (INIS)

Ortiz, N.R.; Wheeler, T.A.; Breeding, R.J.; Hora, S.; Meyer, M.A.; Kenney, R.L.

1991-01-01

The explicit expert judgment process used in NUREG-1150, 'Severe Accident Risks: An Assessment for Five US Nuclear Plants', is discussed in this paper. The main steps of the process are described, including selection of issues and experts, elicitation training, presentation of issues to the experts, preparation of issue analyses by the experts, discussion of issue analyses and elicitation, and recomposition and aggregation of results. To demonstrate the application of the expert judgment process to NUREG-1150, two issues are summarized: one from the accident frequency analysis, and one from the accident progression analysis. Recommendations and insights are provided to improve the use of explicit expert judgment in complex technical issues. (orig.)

Expert Evidence and International Criminal Justice

DEFF Research Database (Denmark)

Appazov, Artur

The book is a comprehensive narration of the use of expertise in international criminal trials offering reflection on standards concerning the quality and presentation of expert evidence. It analyzes and critiques the rules governing expert evidence in international criminal trials...... and the strategies employed by counsel and courts relying upon expert evidence and challenges that courts face determining its reliability. In particular, the author considers how the procedural and evidentiary architecture of international criminal courts and tribunals influences the courts' ability to meaningfully...... incorporate expert evidence into the rational fact-finding process. The book provides analysis of the unique properties of expert evidence as compared with other forms of evidence and the challenges that these properties present for fact-finding in international criminal trials. It draws conclusions about...

ONAV - An Expert System for the Space Shuttle Mission Control Center

Science.gov (United States)

Mills, Malise; Wang, Lui

1992-01-01

The ONAV (Onboard Navigation) Expert System is being developed as a real-time console assistant to the ONAV flight controller for use in the Mission Control Center at the Johnson Space Center. Currently, Oct. 1991, the entry and ascent systems have been certified for use on console as support tools, and were used for STS-48. The rendezvous system is in verification with the goal to have the system certified for STS-49, Intelsat retrieval. To arrive at this stage, from a prototype to real-world application, the ONAV project has had to deal with not only Al issues but operating environment issues. The Al issues included the maturity of Al languages and the debugging tools, verification, and availability, stability and size of the expert pool. The environmental issues included real time data acquisition, hardware suitability, and how to achieve acceptance by users and management.

The use of expert judgement in decision making

Energy Technology Data Exchange (ETDEWEB)

NONE

2005-07-01

Expert judgment (EJ) techniques and protocols have been used in different areas for more than half a century. the Nuclear Energy Division of the Commissariat a l'Energie Atomique (CEA), via the Risk Control Domain of the Nuclear Development and Innovation Division and the Innovative Systems Studies Service, and the Institute for Energy of JRC (Petten), via the Nuclear Safety Unit, organized a 'workshop on the use of expert judgment in decision making'. The objectives of this workshop were to create an exchange forum about this topic and to gather a first state of the art, in order to identify the needs for R and D. This workshop brought together approximately 55 participants, from different industry sectors (energy, both nuclear and non-nuclear, food and communication among others) and from universities, research organizations and technical support organizations. The workshop was divided in one opening session, four thematic sessions plus a round table and a final general discussion session. The first session was dedicated to the elicitation of expertise and the combination of opinions given by different experts. The papers in this session had more theoretical contents than most of the papers in other session. The second session was dedicated to expert knowledge management. It consisted of four papers, two of them in the area of the food industry, one of them in the area of e-business and the last one in the area of human reliability assessment (HRA) and its impact on Probabilistic Safety Analysis (PSA) calculations. The third session was dedicated to industrial applications and consisted of four papers, all of them in the area of energy production. The last session was about the use of EJ in risk analysis and decision making processes. Four papers were included in this session, EJ has been applied for a very long time in very different fields, which has brought as a consequence a broad diversity of methodologies The workshop did also show the

The use of expert judgement in decision making

International Nuclear Information System (INIS)

2005-01-01

Expert judgment (EJ) techniques and protocols have been used in different areas for more than half a century. the Nuclear Energy Division of the Commissariat a l'Energie Atomique (CEA), via the Risk Control Domain of the Nuclear Development and Innovation Division and the Innovative Systems Studies Service, and the Institute for Energy of JRC (Petten), via the Nuclear Safety Unit, organized a 'workshop on the use of expert judgment in decision making'. The objectives of this workshop were to create an exchange forum about this topic and to gather a first state of the art, in order to identify the needs for R and D. This workshop brought together approximately 55 participants, from different industry sectors (energy, both nuclear and non-nuclear, food and communication among others) and from universities, research organizations and technical support organizations. The workshop was divided in one opening session, four thematic sessions plus a round table and a final general discussion session. The first session was dedicated to the elicitation of expertise and the combination of opinions given by different experts. The papers in this session had more theoretical contents than most of the papers in other session. The second session was dedicated to expert knowledge management. It consisted of four papers, two of them in the area of the food industry, one of them in the area of e-business and the last one in the area of human reliability assessment (HRA) and its impact on Probabilistic Safety Analysis (PSA) calculations. The third session was dedicated to industrial applications and consisted of four papers, all of them in the area of energy production. The last session was about the use of EJ in risk analysis and decision making processes. Four papers were included in this session, EJ has been applied for a very long time in very different fields, which has brought as a consequence a broad diversity of methodologies The workshop did also show the variety of techniques

The use of expert judgement in decision making

Energy Technology Data Exchange (ETDEWEB)

NONE

2005-07-01

Expert judgment (EJ) techniques and protocols have been used in different areas for more than half a century. the Nuclear Energy Division of the Commissariat a l'Energie Atomique (CEA), via the Risk Control Domain of the Nuclear Development and Innovation Division and the Innovative Systems Studies Service, and the Institute for Energy of JRC (Petten), via the Nuclear Safety Unit, organized a 'workshop on the use of expert judgment in decision making'. The objectives of this workshop were to create an exchange forum about this topic and to gather a first state of the art, in order to identify the needs for R and D. This workshop brought together approximately 55 participants, from different industry sectors (energy, both nuclear and non-nuclear, food and communication among others) and from universities, research organizations and technical support organizations. The workshop was divided in one opening session, four thematic sessions plus a round table and a final general discussion session. The first session was dedicated to the elicitation of expertise and the combination of opinions given by different experts. The papers in this session had more theoretical contents than most of the papers in other session. The second session was dedicated to expert knowledge management. It consisted of four papers, two of them in the area of the food industry, one of them in the area of e-business and the last one in the area of human reliability assessment (HRA) and its impact on Probabilistic Safety Analysis (PSA) calculations. The third session was dedicated to industrial applications and consisted of four papers, all of them in the area of energy production. The last session was about the use of EJ in risk analysis and decision making processes. Four papers were included in this session, EJ has been applied for a very long time in very different fields, which has brought as a consequence a broad diversity of methodologies The workshop did also show the variety of techniques

ALICE Expert System

CERN Document Server

Ionita, C

2014-01-01

The ALICE experiment at CERN employs a number of human operators (shifters), who have to make sure that the experiment is always in a state compatible with taking Physics data. Given the complexity of the system and the myriad of errors that can arise, this is not always a trivial task. The aim of this paper is to describe an expert system that is capable of assisting human shifters in the ALICE control room. The system diagnoses potential issues and attempts to make smart recommendations for troubleshooting. At its core, a Prolog engine infers whether a Physics or a technical run can be started based on the current state of the underlying sub-systems. A separate C++ component queries certain SMI objects and stores their state as facts in a Prolog knowledge base. By mining the data stored in dierent system logs, the expert system can also diagnose errors arising during a run. Currently the system is used by the on-call experts for faster response times, but we expect it to be adopted as a standard tool by reg...

Expert systems technology applied to instrument operation and data acquisition of a triple quadrupole mass spectrometer (TQMS)

International Nuclear Information System (INIS)

Wong, C.M.

1984-01-01

This presentation covers the work done at Lawrence Livermore National Laboratory by some computer programmers and analytical chemists specializing in mass spectrometry to develop an expert system for real-time tuning and optimization of operations of a triple quadrupole mass spectrometer (TQMS). This capability is important to increase the sensitivity possible for selected compounds throughout the entire mass range of the instrument, rather than settling for the traditional normalized calibration which lowers sensitivity at both ends of the mass scale

Applied aspects of content projecting of lexicology and phraseology teaching of future primary school teachers

Directory of Open Access Journals (Sweden)

Марія Михайлівна Греб

2015-01-01

Full Text Available In the article it is considered the applied aspects of content projecting of lexicology and phraseology teaching of future primary school teachers basing on the principles of developing education. These principles are realized gradually (theoretical, practical, research stages and stage of independent work. Also these principles are guaranteed by the system of exercises and tasks of three levels of complexity which promotes increasing of motivation, self-development, self-realization of subjects of educational process

Branch technical position on the use of expert elicitation in the high-level radioactive waste program

International Nuclear Information System (INIS)

Kotra, J.P.; Lee, M.P.; Eisenberg, N.A.; DeWispelare, A.R.

1996-11-01

Should the site be found suitable, DOE will apply to the US Nuclear Regulatory Commission for permission to construct and then operate a proposed geologic repository for the disposal of spent nuclear fuel and other high-level radioactive waste at Yucca Mountain. In deciding whether to grant or deny DOE's license application for a geologic repository, NRC will closely examine the facts and expert judgment set forth in any potential DOE license application. NRC expects that subjective judgments of individual experts and, in some cases, groups of experts, will be used by DOE to interpret data obtained during site characterization and to address the many technical issues and inherent uncertainties associated with predicting the performance of a repository system for thousands of years. NRC has traditionally accepted, for review, expert judgment to evaluate and interpret the factual bases of license applications and is expected to give appropriate consideration to the judgments of DOE's experts regarding the geologic repository. Such consideration, however, envisions DOE using expert judgments to complement and supplement other sources of scientific and technical information, such as data collection, analyses, and experimentation. In this document, the NRC staff has set forth technical positions that: (1) provide general guidelines on those circumstances that may warrant the use of a formal process for obtaining the judgments of more than one expert (i.e., expert elicitation); and (2) describe acceptable procedures for conducting expert elicitation when formally elicited judgments are used to support a demonstration of compliance with NRC's geologic disposal regulation, currently set forth in 10 CFR Part 60. 76 refs

Partners for development: Expert assistant in Malaysia

International Nuclear Information System (INIS)

Daud, A.H.

1996-01-01

This report reviews the expert assignments received by Malaysia under the TC programme over the 1980-95 time period. It provides data about the type of assignments and expert services, the institutions receiving the experts, and duration of the assignment. Also reviewed is the process of requesting and implementing an expert assignment in Malaysia, as well as the country's related objectives and plans

Expert system technology for nondestructive waste assay

International Nuclear Information System (INIS)

Becker, G.K.; Determan, J.C.

1998-01-01

Nondestructive assay waste characterization data generated for use in the National TRU Program must be of known and demonstrable quality. Each measurement is required to receive an independent technical review by a qualified expert. An expert system prototype has been developed to automate waste NDA data review of a passive/active neutron drum counter system. The expert system is designed to yield a confidence rating regarding measurement validity. Expert system rules are derived from data in a process involving data clustering, fuzzy logic, and genetic algorithms. Expert system performance is assessed against confidence assignments elicited from waste NDA domain experts. Performance levels varied for the active, passive shielded, and passive system assay modes of the drum counter system, ranging from 78% to 94% correct classifications

A methodology for uncertainty quantification in quantitative technology valuation based on expert elicitation

Science.gov (United States)

Akram, Muhammad Farooq Bin

The management of technology portfolios is an important element of aerospace system design. New technologies are often applied to new product designs to ensure their competitiveness at the time they are introduced to market. The future performance of yet-to- be designed components is inherently uncertain, necessitating subject matter expert knowledge, statistical methods and financial forecasting. Estimates of the appropriate parameter settings often come from disciplinary experts, who may disagree with each other because of varying experience and background. Due to inherent uncertain nature of expert elicitation in technology valuation process, appropriate uncertainty quantification and propagation is very critical. The uncertainty in defining the impact of an input on performance parameters of a system makes it difficult to use traditional probability theory. Often the available information is not enough to assign the appropriate probability distributions to uncertain inputs. Another problem faced during technology elicitation pertains to technology interactions in a portfolio. When multiple technologies are applied simultaneously on a system, often their cumulative impact is non-linear. Current methods assume that technologies are either incompatible or linearly independent. It is observed that in case of lack of knowledge about the problem, epistemic uncertainty is the most suitable representation of the process. It reduces the number of assumptions during the elicitation process, when experts are forced to assign probability distributions to their opinions without sufficient knowledge. Epistemic uncertainty can be quantified by many techniques. In present research it is proposed that interval analysis and Dempster-Shafer theory of evidence are better suited for quantification of epistemic uncertainty in technology valuation process. Proposed technique seeks to offset some of the problems faced by using deterministic or traditional probabilistic approaches for

Contextual Factors for Finding Similar Experts

DEFF Research Database (Denmark)

Hofmann, Katja; Balog, Krisztian; Bogers, Toine

2010-01-01

-seeking models, are rarely taken into account. In this article, we extend content-based expert-finding approaches with contextual factors that have been found to influence human expert finding. We focus on a task of science communicators in a knowledge-intensive environment, the task of finding similar experts......, given an example expert. Our approach combines expertise-seeking and retrieval research. First, we conduct a user study to identify contextual factors that may play a role in the studied task and environment. Then, we design expert retrieval models to capture these factors. We combine these with content......-based retrieval models and evaluate them in a retrieval experiment. Our main finding is that while content-based features are the most important, human participants also take contextual factors into account, such as media experience and organizational structure. We develop two principled ways of modeling...

Development of expert evaluation system for advanced nuclear power stations

International Nuclear Information System (INIS)

Yang Mengjia; Ren Junsheng; Zhou Zhiwei; Zhang Qi; Zhu Shutang

2005-01-01

The wheels of the nuclear power industry in China are going to roll on the fast rails soon: It is important to establish an expert evaluation system for optimally selecting new types of NPPs in the future based on scientific evaluation. Under such a background, an expert evaluation system is developed to evaluate Various types of NPPs for the following two decades by taking into account the advices of selected top specialists in Chinese nuclear power industry, and by adopting different evaluation methods. The evaluation system is designed to use the database-MS-SQL Server or Oracle for manipulating experts' knowledge and objective data for scaling NPPs by user-selected evaluation methods for evaluating NPPs. The system includes two subsystems: one is called the Data Management Module and the other called the Evaluation Arithmetic Module. The Data Management Module is used to manage expert knowledge in forms of item marks of the NPPs given by experts of nuclear engineering. The Evaluation Arithmetic Module is used to analyze and deal with the evaluation based on the data in the Database by certain designed evaluation method, and to provide the evaluation results. Based on the users' selection, the evaluation of the NPPs is processed, and the results can be dynamically listed in table or displayed in graphics. So it can be used as a consulting tool to help users make optimal selection of prospective NPPs. The system is developed in architecture of the mixture framework C/S(Client/Server) and B/S(Browse/Server), thus is safe, advanced, extensible and user- friendly. The present system is computer network based, so it can be used not only in personal PC and local network, but also in the Web Server which can be browsed by remote users. To develop such an evaluation system is an initiative R and D project in Chinese nuclear R and D activities. Although the evaluation system is far from perfect, however, the preliminary evaluation results produced by the evaluation

Expert system aids transport regulation users

International Nuclear Information System (INIS)

Cheshire, R.D.; Straw, R.J.

1990-01-01

During late 1984 the IAEA Regulations were identified as an area of application for an expert system adviser which could offer many advantages. Over the following year some simple tests were carried out to examine its feasibility, but TRANAID did not get underway until 1986 when British Nuclear Fuels (BNFL) Corporate Management services were engaged on the product. By this time a greater choice of suitable software, in the form of expert system shells, had become available. After a number of trial systems the shell Leonardo was finally adopted for the final system. In order for TRANAID to emulate the expert it was necessary to spend time extracting and documenting the expert knowledge. This was a matter of investigating how the regulations are used and was achieved by a series of meetings including opportunity for the computer specialists to interview the regulations experts. There are several benefits in having an expert system advisor in this area. It is useful to both experienced and inexperienced users of regulations. For those who are learning to use the regulations it is an excellent training aid. For those who know the regulations but use them infrequently it can save time and provide a valuable reassurance. The adviser has enabled the expert user's know how to be captured and to be made widely available to those with less experience. (author)

Application and Evaluation of an Expert Judgment Elicitation Procedure for Correlations.

Science.gov (United States)

Zondervan-Zwijnenburg, Mariëlle; van de Schoot-Hubeek, Wenneke; Lek, Kimberley; Hoijtink, Herbert; van de Schoot, Rens

2017-01-01

The purpose of the current study was to apply and evaluate a procedure to elicit expert judgments about correlations, and to update this information with empirical data. The result is a face-to-face group elicitation procedure with as its central element a trial roulette question that elicits experts' judgments expressed as distributions. During the elicitation procedure, a concordance probability question was used to provide feedback to the experts on their judgments. We evaluated the elicitation procedure in terms of validity and reliability by means of an application with a small sample of experts. Validity means that the elicited distributions accurately represent the experts' judgments. Reliability concerns the consistency of the elicited judgments over time. Four behavioral scientists provided their judgments with respect to the correlation between cognitive potential and academic performance for two separate populations enrolled at a specific school in the Netherlands that provides special education to youth with severe behavioral problems: youth with autism spectrum disorder (ASD), and youth with diagnoses other than ASD. Measures of face-validity, feasibility, convergent validity, coherence, and intra-rater reliability showed promising results. Furthermore, the current study illustrates the use of the elicitation procedure and elicited distributions in a social science application. The elicited distributions were used as a prior for the correlation, and updated with data for both populations collected at the school of interest. The current study shows that the newly developed elicitation procedure combining the trial roulette method with the elicitation of correlations is a promising tool, and that the results of the procedure are useful as prior information in a Bayesian analysis.

Cooperative expert system reasoning for waste remediations

International Nuclear Information System (INIS)

Bohn, S.J.; Pennock, K.A.; Franklin, A.L.

1991-12-01

The United States Department of Energy (DOE) is facing a large task in completing Remedial Investigations and Feasibility Studies (RI/FS) for hazardous waste sites across the nation. One of the primary objectives of an RI/FS is the specification of viable sequences of technology treatment trains which can provide implementable site solutions. We present a methodology which integrates expert system technology within an object-oriented framework to create a cooperative reasoning system designed to provide a comprehensive list of these implementable solutions. The system accomplishes its goal of specifying technology trains by utilizing a ''team'' of expert system objects. The system distributes the problem solving among the individual expert objects, and then coordinates the combination of individual decisions into a joint solution. Each expert object possesses the knowledge of an expert in a particular technology. An expert object can examine the parameters and characteristics of the waste site, seek information and support from other expert objects, and then make decisions concerning its own applicability. This methodology has at least two primary benefits. First, the creation of multiple expert objects provides a more direct mapping from the actual process to a software system, making the system easier to build. Second, the distribution of the inferencing among a number of loosely connected expert objects allows for a more robust and maintainable final product

Fire Effects, Education, and Expert Systems

Science.gov (United States)

Robert E. Martin

1987-01-01

Predicting the effects of fires in the year 2000 and beyond will be enhanced by the use of expert systems. Although our predictions may have broad confidence limits, expert systems should help us to improve the predictions and to focus on the areas where improved knowledge is most needed. The knowledge of experts can be incorporated into previously existing knowledge...

The power of advice: experts in Chinese climate change politics

Energy Technology Data Exchange (ETDEWEB)

Wuebbeke, Jost

2010-07-01

This study examines the role of experts in Chinas climate change policy. With the beginning of the UNFCCC process, many semi-official institutes and universities emerged, dealing with the scientific, economic and political aspects of climate change. The major argument presented here is that experts are important actors in Chinese climate change politics, and that they have been underestimated in research on China. This analysis has two aims: first, applying a science, policy interface model from regime theory, it examines the political impact of various research organizations during different stages of the policy-making process. In the second step, analysis turns to the causes behind the degree of impact. These include the relevance of administrative links, the quality of knowledge, and personal ties. The results show that, in particular, semi-official institutes and certain universities can have a very high impact on political action.(auth)

Hierarchical Model of Assessing and Selecting Experts

OpenAIRE

Chernysheva, Tatiana Yurievna; Korchuganova, Mariya Anatolievna; Borisov, V. V.; Minkov, S. L.

2016-01-01

Revealing experts' competences is a multi-objective issue. Authors of the paper deal with competence assessing methods of experts seen as objects, and criteria of qualities. An analytic hierarchy process of assessing and ranking experts is offered, which is based on paired comparison matrices and scores, quality parameters are taken into account as well. Calculation and assessment of experts is given as an example.

European academy of dermatology and venereology European prurigo project: expert consensus on the definition, classification and terminology of chronic prurigo.

Science.gov (United States)

Pereira, M P; Steinke, S; Zeidler, C; Forner, C; Riepe, C; Augustin, M; Bobko, S; Dalgard, F; Elberling, J; Garcovich, S; Gieler, U; Gonçalo, M; Halvorsen, J A; Leslie, T A; Metz, M; Reich, A; Şavk, E; Schneider, G; Serra-Baldrich, E; Ständer, H F; Streit, M; Wallengren, J; Weller, K; Wollenberg, A; Bruland, P; Soto-Rey, I; Storck, M; Dugas, M; Weisshaar, E; Szepietowski, J C; Legat, F J; Ständer, S

2017-08-31

The term prurigo has been used for many decades in dermatology without clear definition, and currently used terminology of prurigo is inconsistent and confusing. Especially, itch-related prurigo remains unexplored regarding the epidemiology, clinical profile, natural course, underlying causes, available treatments and economic burden, although burdensome and difficult to treat. To address these issues, the multicentre European Prurigo Project (EPP) was designed to increase knowledge on chronic prurigo (CPG). In the first step, European experts of the EADV Task Force Pruritus (TFP) aimed to achieve a consensus on the definition, classification and terminology of CPG. Additionally, procedures of the cross-sectional EPP were discussed and agreed upon. Discussions and surveys between members of the TFP served as basis for a consensus conference. Using the Delphi method, consensus was defined as an agreement ≥75% among the present members. Twenty-four members of the TFP participated in the consensus conference. Experts consented that CPG should be used as an umbrella term for the range of clinical manifestations (e.g. papular, nodular, plaque or umbilicated types). CPG is considered a distinct disease defined by the presence of chronic pruritus for ≥6 weeks, history and/or signs of repeated scratching and multiple localized/generalized pruriginous skin lesions (whitish or pink papules, nodules and/or plaques). CPG occurs due to a neuronal sensitization to itch and the development of an itch-scratch cycle. This new definition and terminology of CPG should be implemented in dermatology to harmonize communication in the clinical routine, clinical trials and scientific literature. Acute/subacute forms of prurigo are separated entities, which need to be differentiated from CPG and will be discussed in a next step. In the near future, the cross-sectional EPP will provide relevant clinical data on various aspects of CPG leading to new directions in the scientific