언어적 지식 추출을 이용한 데이터베이스 검색 시스템

박계각 목포해양대학교 해사산업기술연구소 1996 심포지움강연논집 Vol.2 No.1

기존의 데이터베이스 검색 시스템은 사용자의 검색 조건을 정확히 만족하는 데이터만 사용자에게 제공하고, 데이터베이스에 사용자의 검색 조건을 정확히 만족하는 데이터가 없을 경우에는 적절한 데이터를 제공하지 못한다. 이러한 문제점을 해결하기 위해서, 퍼지클러스터링 수법을 이용하여 데이터베이스의 데이터를 복수의 클러스터로 표현하고 미리 정의된 언어적 레이블을 이용하여 정량적인 데이터의 분포 상태를 언어적으로 표현하여 사용자에게 제시하는 방법이 제안되어 있다. 본 논문에서는 기존의 데이터의 분포 상태를 언어적으로 표현하여 사용자에게 제시하는 방법에 있어서 퍼지클러스터링의 새로운 클러스터 추가 알고리즘의 개선 및 협조적인 대체 응답 알고리즘을 제안한다. 그리고, 본 알고리즘을 우체국에서 실시하고 있는 우편주문책자의 선물 고르기 예제에 적용하여, 그 효용성을 확인하고자 한다. In the conventional database retrieval system. only the data that satisfy the user's query have been served, otherwise no data has been served. To solve such a problem, a retrieval system using knowledge of database expressed linguistically has been proposed. where the relational knowledge between data is acquired FCM(Fuzzy C-Means) algorithm. In this paper, we propose the improved method of increasing new cluster and the cooperative response method between a user and a system in the retrieval system using FCM. The validity of this retrieval system is shown by applying its algorithm to an example : the mail order service in a post office.

따목 의사 결정 시스템의 구축

고영훈,박계각 목포해양대학교 해사산업기술연구소 1996 심포지움강연논집 Vol.2 No.2

Decision Making System(DMS) is a field of Artificial Intelligence(A.I.) and is a system to solve a given problem instead of a human being such as various computer games. In this paper, we discuss the building of a computer system for Tamok game called a korean traditional five-in-a-row. The tamok game has never been studied and is very complex because the mutual relational of two games is considered to play. In this paper, we discuss the algorithm for building the tamok computer system. As the basic system for embodying the tamok computer system, the five-in-a-low computer system was built where the system's stone to play is decided by the importance weight. The importance weight is allocated as numerical value[0-1] which is acquired an expert's knowledge and experience. The stone to play is decided as the place which has maximum importance weight. In the future, the algorithm to allocate the importance weight has to be studied to build the tamok computer system.

Building of Collision Avoidance Algorithm based on CBR

Gyei-Kark Park,John Leslie RM Benedictos 한국지능시스템학회 2006 한국지능시스템학회 학술발표 논문집 Vol.16 No.2

Ship’s collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning(CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship’s collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and index the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

Building a Conceptual Model Using Ontology for the Efficient Retrieval of Cases from Fuzzy-CBR of Collision Avoidance Support System

Gyei-Kark Park(박계각),John Leslie RM Benedictos,Sung Chul Shin(신성철),Nam Kyun Im(임남균),Mira Yi(이미라) 한국지능시스템학회 2007 한국지능시스템학회 학술발표 논문집 Vol.17 No.1

We have proposed Fuzzy-CBR to find a solution from past knowledge retrieved from the database and adapted to a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new case, used as inputs, for a ship collision avoidance support system and in solving for similarity through document articulation and abstraction levels. These ontologies will be used to build a conceptual model of a maneuvering situation..

Ship's Collision Avoidance Support System Using Fuzzy-CBR

Gyei-Kark Park,John Leslie RM Benedictos 한국지능시스템학회 2006 한국지능시스템학회논문지 Vol.16 No.5

Ship's collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning (CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship's collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and index the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

Conceptual Model for Fuzzy-CBR Support System for Collision Avoidance at Sea Using Ontology

Gyei-Kark Park,Woong-Gyu Kim,John Leslie RM Benedictos 한국지능시스템학회 2007 한국지능시스템학회논문지 Vol.17 No.3

Fuzzy-CBR Collision Avoidance Support Sytem is a system that finds a solution from past knowledge retrieved from the database and adapted to a new situation. Its algorithm has resulted to an adapting a solution for a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new environment and use them as inputs, for a ship collision avoidance support system., Similarity will be obtained through document articulation and using abstraction levels. A conceptual model of a maneuvering situation will be built using these ontologies.

게임이론을 이용한 항만 경쟁 상황의 분석

박계각(Gyei-Kark Park),한욱(Xu Han),여동금(Dong-Qin Lu) 한국지능시스템학회 2010 한국지능시스템학회 학술발표 논문집 Vol.20 No.2

This paper discusses the application of game theory on port competition. Port industry shows a oligopoly situation. Therefore game theory would be a helpful method on the analysis of competition and cooperation strategy between ports. And then we will present two game models conducted on port competition.

FCM을 이용한 지능형 해양사고 DB 검색시스템 구축

박계각(Gyei-Kark Park),한욱(Xu Han),김영기(Young-Ki Kim),오세웅(Se-Woong Oh) 한국지능시스템학회 2009 한국지능시스템학회논문지 Vol.19 No.4

해양사고로 인한 경제적, 환경적 피해가 커짐에 따라, 해양사고 방지를 위한 이슈가 크게 대두되고 있다. 발생된 해양사고 사례의 종류와 원인을 분석하여 구축된 DB가 해양사고 방지를 위한 연구에 널리 활용되고 있으나, 하나의 종류 및 원인에 대해서만 DB가 구축되어 있어 일반적으로 복수의 원인에 의해 발생되고 복수의 종류에 해당하는 해양사고를 합리적으로 분류하지 못하고 다양하고 막연한 조건을 이용해 검색할 수 없다는 문제점이 있다. 따라서 본 연구에서는 FCM을 이용하여 복수의 해양사고 원인과 종류에 연계된 해양사고 DB를 구축하고 언어 레이블을 이용하여 다양한 원인과 종류에 의해 해양사고 사례추출이 가능한 검색 시스템을 제시하였다. Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.

게임이론을 이용한 선박충돌회피상황에 대한 분석

박계각(Gyei-Kark Park),김동균(Dong-Gyun Kim),김영기(Young-Ki Kim),이미라(Mi-ra Lee),정종면(Jong-Myeon Jeong) 한국지능시스템학회 2010 한국지능시스템학회 학술발표 논문집 Vol.20 No.2

선박의 충돌회피를 위한 많은 방법들이 제시되어 왔다. 본 논문에서는 게임이론 이용하여 충돌회피시 상황을 분석하고자 한다.

Conceptual Model for Fuzzy-CBR Support System for Collision Avoidance at Sea Using Ontology

Park, Gyei-Kark,Kim, Woong-Gyu,Benedictos, John Leslie RM Korean Institute of Intelligent Systems 2007 한국지능시스템학회논문지 Vol.17 No.3

Fuzzy-CBR Collision Avoidance Support System is a system that finds a solution from past knowledge retrieved from the database and adapted to a new situation. Its algorithm has resulted to an adapting a solution for a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new environment and use them as inputs, for a ship collision avoidance support system., Similarity will be obtained through document articulation and using abstraction levels. A conceptual model of a maneuvering situation will be built using these ontologies.