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

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.

The Integrated Design of Fuzzy Collision-Avoidance and H∞-Autopilots on Ships

2002 ◽  
Vol 55 (1) ◽  
pp. 117-136 ◽  
Author(s):  
Cheng-Neng Hwang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
State Space ◽  
Collision Avoidance ◽  
Integrated Design ◽  
Inference Engine ◽  
Electronic Equipment ◽  
Important Concern ◽  
Autopilot Systems ◽  
Control Methodology

Collision avoidance remains the most important concern for ships at sea. Despite the electronic equipment now fitted on ships to support the mariner, expert experience is still essential when a ship is in danger of colliding with the others. To include these experts' experiences to resolve the problems of collision, we have designed a fuzzy collision-avoidance expert system that includes a knowledge base to store facts and rules, an inference engine to simulate experts' decisions and a fuzzy interface device. Either a quartermaster or an autopilot system can then implement the avoidance action proposed in the research. To perform the task of collision-avoidance effectively, a robust autopilot system using the state space H∞ control methodology has been designed to steer a ship safely for various conditions at sea in performing course keeping, course-changing and route-tracking more robustly. The integration of fuzzy collision-avoidance and H∞autopilot systems is then proposed in this paper.

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

A vessel management expert system

2002 ◽  
Vol 216 (2) ◽  
pp. 161-177 ◽  
Author(s):  
T Tran ◽  
C J Harris ◽  
P A Wilson
Keyword(s):  
Expert System ◽  
Collision Avoidance ◽  
Integrated System ◽  
System Structure ◽  
Sea State ◽  
Marine Transport ◽  
Simulation Results ◽  
Collision Avoidance System ◽  
Marine Navigation ◽  
Management Expert

A unified collision avoidance system is proposed to improve the efficiency and safety of marine transport, namely maritime avoidance navigation, totally integrated system (MANTIS). The principle behind its operation is to remove the difficulties and uncertainties involved in marine navigation through a system structure that makes marine transport deterministic rather than uncertain. Fundamental to its operation is a strategic interactive expert system that can determine safe and efficient navigation routes for all vessels as part of journey planning and en route collision avoidance. An important requirement is to take account of non-navigable areas, collision regulations, ship characteristics, sea state and sensor accuracy during evaluation. An outline of the MANTIS infrastructure is given, followed by a description of the vessel management system (VMES). Simulation results exemplify the significance of the system for future exploitation.

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
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