273,324 research outputs found
Parallel processing and expert systems
Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 90's cannot enjoy an increased level of autonomy without the efficient use of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real time demands are met for large expert systems. Speed-up via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial labs in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems was surveyed. The survey is divided into three major sections: (1) multiprocessors for parallel expert systems; (2) parallel languages for symbolic computations; and (3) measurements of parallelism of expert system. Results to date indicate that the parallelism achieved for these systems is small. In order to obtain greater speed-ups, data parallelism and application parallelism must be exploited
Parallel processing and expert systems
Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 1990s cannot enjoy an increased level of autonomy without the efficient implementation of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real-time demands are met for larger systems. Speedup via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial laboratories in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems is surveyed. The survey discusses multiprocessors for expert systems, parallel languages for symbolic computations, and mapping expert systems to multiprocessors. Results to date indicate that the parallelism achieved for these systems is small. The main reasons are (1) the body of knowledge applicable in any given situation and the amount of computation executed by each rule firing are small, (2) dividing the problem solving process into relatively independent partitions is difficult, and (3) implementation decisions that enable expert systems to be incrementally refined hamper compile-time optimization. In order to obtain greater speedups, data parallelism and application parallelism must be exploited
Advanced Technology Training System on Motor-Operated Valves
This paper describes how features from the field of Intelligent Tutoring Systems are applied to the Motor-Operated Valve (MOV) Advanced Technology Training System (ATTS). The MOV ATTS is a training system developed at Galaxy Scientific Corporation for the Central Research Institute of Electric Power Industry in Japan and the Electric Power Research Institute in the United States. The MOV ATTS combines traditional computer-based training approaches with system simulation, integrated expert systems, and student and expert modeling. The primary goal of the MOV ATTS is to reduce human errors that occur during MOV overhaul and repair. The MOV ATTS addresses this goal by providing basic operational information of the MOV, simulating MOV operation, providing troubleshooting practice of MOV failures, and tailoring this training to the needs of each individual student. The MOV ATTS integrates multiple expert models (functional and procedural) to provide advice and feedback to students. The integration also provides expert model validation support to developers. Student modeling is supported by two separate student models: one model registers and updates the student's current knowledge of basic MOV information, while another model logs the student's actions and errors during troubleshooting exercises. These two models are used to provide tailored feedback to the student during the MOV course
PICES Press, Vol. 19, No. 1, Winter 2011
â˘2010 PICES Science: A Note from the Former Science Board Chairman (pp. 1-4)
â˘2010 PICES Awards (pp. 5-7)
â˘The First Year of FUTURE: A Progress Report (pp. 8-13)
â˘New Chairmen in PICES (pp. 14-19)
â˘Pacific Ocean Interior Carbon Data Synthesis, PACIFICA, in Progress (pp. 20-23)
â˘2011 PICES Calendar (p. 23)
â˘Ecosystems 2010: Global Progress on Ecosystem-based Fisheries Management (pp. 24-26)
â˘PICES 2010 Rapid Assessment Survey (pp. 27-29)
â˘PICES Workshop on âAn Introduction to Rapid Assessment Survey Methodologies for Application in Developing Countriesâ (pp. 30-31)
â˘The State of the Western North Pacific in the First Half of 2010 (pp. 32-34)
â˘PICES Interns (p. 34)
â˘The State of the Bering Sea in 2010 (pp. 35-37)
â˘The State of the Northeast Pacific in 2010 (pp. 38-40
PICES Press, Vol. 20, No. 2, Summer 2012
â˘The 2012 Inter-sessional Science Board Meeting: A Note from Science Board Chairman (pp. 1-4)
âžPICES Interns (p. 4)
âž2012 Inter-sessional Workshop on a Roadmap for FUTURE (pp. 5-8)
âžSecond Symposium on âEffects of Climate Change on the Worldâs Oceansâ (pp. 9-13)
âž2012 Yeosu Workshop on âFramework for Ocean Observingâ (pp. 14-15)
âž2012 Yeosu Workshop on âClimate Change Projectionsâ (pp. 16-17)
âž2012 Yeosu Workshop on âCoastal Blue Carbonâ (pp. 18-20)
âžPolar Comparisons: Summary of 2012 Yeosu Workshop (pp. 21-23)
âž2012 Yeosu Workshop on âClimate Change and Range Shifts in the Oceans" (pp. 24-27)
âž2012 Yeosu Workshop on âBeyond Dispersionâ (pp. 28-30)
âž2012 Yeosu Workshop on âPublic Perception of Climate Changeâ (pp. 31, 50)
âžPICES Working Group 20: Accomplishments and Legacy (pp. 32-33)
âžThe State of the Western North Pacific in the Second Half of 2011 (pp. 34-35)
âžAnother Cold Winter in the Gulf of Alaska (pp. 36-37)
âžThe Bering Sea: Current Status and Recent Events (pp. 38-40)
âžPICES/ICES 2012 Conference for Early Career Marine Scientists (pp. 41-43)
âžCompletion of the PICES Seafood Safety Project â Indonesia (pp. 44-46)
âžOceanography Improves Salmon Forecasts (p. 47)
âž2012 GEOHAB Open Science Meeting (p. 48-50)
âžShin-ichi Ito awarded 2011 Uda Prize (p. 50
PICES Press, Vol. 21, No. 1, Winter 2013
â˘2012 PICES Science: A Note from the Science Board Chairman (pp. 1-6)
âž2012 PICES Awards (pp. 7-9)
âžGLOBEC/PICES/ICES ECOFOR Workshop (pp. 10-15)
âžICES/PICES Symposium on âForage Fish Interactionsâ (pp. 16-18)
âžThe Yeosu Declaration, the Yeosu Declaration Forum and the Yeosu Project (pp. 19-23)
âž2013 PICES Calendar (p. 23)
âžWhy Do We Need Human Dimensions for the FUTURE Program? (pp. 24-25)
âžNew PICES MAFF-Sponsored Project on âMarine Ecosystem Health and Human Well-Beingâ (pp. 26-28)
âžThe Bering Sea: Current Status and Recent Trends (pp. 29-31)
âžContinuing Cool in the Northeast Pacific Ocean (pp. 32, 35)
âžThe State of the Western North Pacific in the First Half of 2012 (pp. 33-35)
âžNew Leadership in PICES (pp. 36-39
Science advice to governments: diverse systems, common challenges
This briefing paper formed the basis of discussions at the 'Science Advice to Governments' summit, which took place in Auckland, New Zealand from 28-29 August 2014, and was attended by science advisors and policymakers from 48 countries
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