scholarly journals Basic Research on an Expert System for Navigation at Sea : Engine Operation Expert System at the Control Tower

1988 ◽  
Vol 79 (0) ◽  
pp. 9-16
Author(s):  
Masaaki INAISHI ◽  
Hisashi MATSUMURA ◽  
Saburo TSURUTA ◽  
Hayama IMAZU ◽  
Akio M. SUGISAKI
Keyword(s):  
Expert System ◽  
Basic Research ◽  
Engine Operation

Intelligent Computing on the Basis of Cognitive and Event Modeling, and Its Application in Energy Security Research

2017 ◽  
pp. 780-787 ◽  
Author(s):  
L. V. Massel ◽  
V. L. Arshinsky ◽  
A. G. Massel
Keyword(s):  
Expert System ◽  
Energy Security ◽  
Basic Research ◽  
Knowledge Space ◽  
Intelligent Computing ◽  
Event Modeling ◽  
Security Research ◽  
Graphical Environment ◽  
Level Information ◽  
Event Models

The paper considers the issues of implementation and application of intelligent computing on the basis of cognitive and event modeling in research on energy security. The authors suggest a two-level information technology for the research. The first level suggests a situation analysis using the intelligent computing techniques. The analysis results are then used to choose rational variants of energy development in Russia (or its regions). At the second level these variants are computed with the multi-agent software INTEC-M. Transition from the first to the second level is automated by the tools of deductive program synthesis, that are based on declarative descriptions, i.e. formulae of restricted predicate calculus, and representation of input data by XML files. Cognitive and event modeling is considered in more detail. The examples of cognitive and event models are presented. The structure of a knowledge space is developed to support the intelligent computations. The knowledge space includes ontological models, databases of cognitive and event models, and the database on the cases of energy emergency situations. The authors developed the CogMap and EventMap tools to support cognitive and event modeling on the basis of common graphical environment GirModeling, and the expert system “Emergency”. The tools and expert system that support the knowledge base on energy emergencies are integrated within the intelligent IT environment. The research presented in the paper was partially supported by the grant of Presidium of RAS No. 2.2-2012 and grants of Russian Foundation of Basic Research No. 10-07-00264, No. 11-07-00192, No. 11-07-00245, and No. 12-07-00359.

Intelligent Computing on the Basis of Cognitive and Event Modeling, and Its Application in Energy Security Research

2014 ◽  
Vol 3 (1) ◽  
pp. 83-91 ◽  
Author(s):  
L. V. Massel ◽  
V. L. Arshinsky ◽  
A. G. Massel
Keyword(s):  
Expert System ◽  
Energy Security ◽  
Basic Research ◽  
Knowledge Space ◽  
Intelligent Computing ◽  
Emergency Situations ◽  
Event Modeling ◽  
Security Research ◽  
Graphical Environment ◽  
Event Models

The paper considers the issues of implementation and application of intelligent computing on the basis of cognitive and event modeling in research on energy security. The authors suggest a two-level information technology for the research. The first level suggests a situation analysis using the intelligent computing techniques. The analysis results are then used to choose rational variants of energy development in Russia (or its regions). At the second level these variants are computed with the multi-agent software INTEC-M. Transition from the first to the second level is automated by the tools of deductive program synthesis, that are based on declarative descriptions, i.e. formulae of restricted predicate calculus, and representation of input data by XML files. Cognitive and event modeling is considered in more detail. The examples of cognitive and event models are presented. The structure of a knowledge space is developed to support the intelligent computations. The knowledge space includes ontological models, databases of cognitive and event models, and the database on the cases of energy emergency situations. The authors developed the CogMap and EventMap tools to support cognitive and event modeling on the basis of common graphical environment GirModeling, and the expert system “Emergency”. The tools and expert system that support the knowledge base on energy emergencies are integrated within the intelligent IT environment. The research presented in the paper was partially supported by the grant of Presidium of RAS No. 2.2-2012 and grants of Russian Foundation of Basic Research No. 10-07-00264, No. 11-07-00192, No. 11-07-00245, and No. 12-07-00359.

scholarly journals Basic Research on the Development of an Expert System for Coping with the Ex Post Facto (Collision Accident) at Sea

1986 ◽  
Vol 75 (0) ◽  
pp. 131-139
Author(s):  
Saburo TSURUTA ◽  
Masaaki INAISHI ◽  
Hisashi MATSUMURA ◽  
Akio M. SUGISAKI
Keyword(s):  
Expert System ◽  
Basic Research ◽  
Ex Post ◽  
Ex Post Facto

scholarly journals Basic Research on an Expert System for Navigatin at Sea : Collision Avoidance Expert System

1987 ◽  
Vol 77 (0) ◽  
pp. 133-139 ◽  
Author(s):  
Saburo TSURUTA ◽  
Hisashi MATSUMURA ◽  
Masaaki INAISHI ◽  
Hayama IMAZU ◽  
Akio M. SUGISAKI
Keyword(s):  
Expert System ◽  
Collision Avoidance ◽  
Basic Research

scholarly journals Basic Research on an Expert System for Navigation at Sea : On an Evaluation for Developing an Expert System for Navigation at Sea

1989 ◽  
Vol 81 (0) ◽  
pp. 31-38
Author(s):  
Hisashi MATSUMURA ◽  
Masaaki INAISHI ◽  
Saburo TSURUTA ◽  
Hayama IMAZU ◽  
Akio M. SUGISAKI
Keyword(s):  
Expert System ◽  
Basic Research

Fault Diagnosis Expert System of Automobile Engine Based on Neural Networks

2011 ◽  
Vol 460-461 ◽  
pp. 605-610 ◽  
Author(s):  
Lu Lu Jiang ◽  
Yong Ni ◽  
Li Hong Tang ◽  
Yong He
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Fault Diagnosis ◽  
Expert System ◽  
Real Time ◽  
Engine Operation ◽  
The Real ◽  
Multiple Sensors ◽  
Historic Data ◽  
Validation Tests

his paper reports a practical approach for detecting and diagnose engine faults in real-time based on both the historical and the real-time engine operation data using a specially design neural networks-based fault diagnosis expert system. This system consisted of multiple sensors for real-time monitoring, an engine database for historic data comparison, and a neural network-bases classifier for detecting faults based on both the real-time and the historic data. This neural network-based engine fault diagnosis system was evaluated in a series of validation tests. The results indicated that the system was capable to detect the predefined faults reliably, and the diagnosis error was less than 5%.

A New 1,000 kV Electron Microscope

1967 ◽  
Vol 25 ◽  
pp. 260-261
Author(s):  
M. Nishigaki ◽  
S. Katagiri ◽  
H. Kimura ◽  
B. Tadano
Keyword(s):  
Electron Microscope ◽  
High Voltage ◽  
Basic Research ◽  
Chromatic Aberration ◽  
High Accuracy ◽  
Biological Specimen ◽  
Voltage Electron ◽  
High Voltage Electron Microscope ◽  
High Voltage Electron

The high voltage electron microscope has many advantageous features in comparison with the ordinary electron microscope. They are a higher penetrating efficiency of the electron, low chromatic aberration, high accuracy of the selected area diffraction and so on. Thus, the high voltage electron microscope becomes an indispensable instrument for the metallurgical, polymer and biological specimen studies. The application of the instrument involves today not only basic research but routine survey in the various fields. Particularly for the latter purpose, the performance, maintenance and reliability of the microscope should be same as those of commercial ones. The authors completed a 500 kV electron microscope in 1964 and a 1,000 kV one in 1966 taking these points into consideration. The construction of our 1,000 kV electron microscope is described below.

An emerging technology: Nuclear magnetic resonance microscopy

1988 ◽  
Vol 46 ◽  
pp. 1000-1001
Author(s):  
M.J. Hennessy ◽  
E. Kwok
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Relaxation Times ◽  
Basic Research ◽  
Local Environment ◽  
Magnetic Resonance Images ◽  
Nmr Microscopy ◽  
Mri Scans ◽  
Temperature Relaxation ◽  
Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

Mother-to-child transmission of HIV: developing integration of healthcare programmes with clinical, social and basic research studies

2003 ◽  
Vol 92 (11) ◽  
pp. 1343-1348
Author(s):  
Menu E ◽  
Scarlatti G ◽  
Barré-Sinoussi F ◽  
Gray G ◽  
Bollinger B ◽  
...  
Keyword(s):  
Basic Research ◽  
Mother To Child Transmission ◽  
Child Transmission ◽  
Mother To Child ◽  
Research Studies

The Multiple Faces of Risk-Taking

2016 ◽  
Vol 32 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Florian Schmitz ◽  
Karsten Manske ◽  
Franzis Preckel ◽  
Oliver Wilhelm
Keyword(s):  
Risk Taking ◽  
Basic Research ◽  
Formal Models ◽  
Experimental Paradigm ◽  
Nomological Network ◽  
Balloon Analogue Risk Task ◽  
Parameter Recovery ◽  
Task Specificity ◽  
Available Information ◽  
Criterion Variables

Abstract. The Balloon-Analogue Risk Task (BART; Lejuez et al., 2002 ) is one of the most popular behavioral tasks suggested to assess risk-taking in the laboratory. Previous research has shown that the conventionally computed score is predictive, but neglects available information in the data. We suggest a number of alternative scores that are motivated by theories of risk-taking and that exploit more of the available data. These scores can be grouped around (1) risk-taking, (2) task performance, (3) impulsive decision making, and (4) reinforcement sequence modulation. Their theoretical rationale is detailed and their validity is tested within the nomological network of risk-taking, deviance, and scholastic achievement. Two multivariate studies were conducted with youths (n = 435) and with adolescents/young adults (n = 316). Additionally, we tested formal models suggested for the BART that decompose observed behavior into a set of meaningful parameters. A simulation study with parameter recovery was conducted, and the data from the two studies were reanalyzed using the models. Most scores were reliable and differentially predictive of criterion variables and may be used in basic research. However, task specificity and the generally moderate validity do not warrant use of the experimental paradigm for diagnostic purposes.

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