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.

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.

Fuzzy Monte Carlo clustering for analysing the distribution of fishing vessels in the coastal waters of South Korea

Gyei-Kark Park,Behrouz Fathi-Vajargah,Taeho Hong,GiJong Jo,YoungKi Kim,Kiyeol Seo 국제이네비해양경제학회 2024 International Journal of e-Navigation and Maritime Vol.22 No.-

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

Park, Gyei-Kark,Benedictos John Leslie RM. Korean Institute of Intelligent Systems 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 infer 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

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.

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.

세계 주요항만의 항만요율 비교분석 및 거시경제지표와의 실증분석

박계각(Gyei-Kark Park),김태기(Tae-Gi Kim) 한국항만경제학회 2006 韓國港灣經濟學會誌 Vol.22 No.4

본 논문에서는 항만요율의 실거래 데이터를 수집, 분석하여 항만간 요율비교 및 요율변화의 추이를 분석하고, 회귀분석을 이용하여 항만요율과 항만별 처리 물동량, GDP 및 무역량과의 관계를 분석하여 거시적인 항만요율의 동향을 제시함을 연구의 목적으로 한다. 구체적인 연구방법으로는, 최근 5년(2001-2205)간 글로벌 서비스선사가 컨테이너선 선형별로 실제 지불한 세계 주요항만의 항만요율 자료를 수집하였으며, 2005년 기준 세계 20대 항만에 속하는 14개 주요항만과 일본의 도쿄항과 고베항의 항만요율 자료를 TEU당 요금으로 환산하여 항만간 요율수준을 비교분석하였다. 또한, 이 TEU당 항만요율과 항만서비스 수요대리변수인 처리물동량, GDP 및 무역량과의 관계를 회귀분석을 통하여 분석 및 고찰하였다. 연구결과, “입항료 및항만시설 사용료”와 “하역관련요금”을 합한 세계 주요 컨테이너 항만의 최근 5년간의 항만요율의 추이는 홍콩을 제외하고 요율이 대체로 완만한 증가세를 보이며, 싱가포르와 대만의 카오슝은 요율이 감소하고 있다. 또한, 2005년 항만요율을 보면, 롱비치와 홍콩이 선두를 달리고 있으며, 한국은 동북아 경쟁항만에 비해 낮은 요율을 보이고 있음을 확인하였다. 또한, 항만요율을 종속변수로, 물동량 및 GDP, 무역량을 설명변수로 하여 회귀분석 실시한 결과, 물동량 이 1% 더 많은 항구에서 항만요율이 0.088-0.204% 높아지며, GDP 1% 높은 국가에서는 항만요율이 0.276% 높아지고, 무역량이 1% 많은 국가에서 항만요율이 0.503% 높아짐을 확인하였다. 더불어, 물동량, GDP, 무역량의 변수의 계수가 양(+)으로 나타나 항만수요가 많을수록 항만요율이 높아짐을 확인하였다. Many studies on port tariff have been done over twenty years using publicly assessed data on tariff. Public data for tariff rates do not reflect, however, the port tariff in a real market, since the cargo handling charge, which is the important fraction of port tariff, is confidentially decided by the negotiations between a shipping company and a container terminal operator. In this paper, we collected the real price data of the port tariff on the world major sixteen container ports from a global shipping company and transformed it into the tariff per TEU(US$/TEU). The comparative analysis of port tariff was performed using the port tariff per TEU, and a panel regression analysis was done to identify the relations between the port tariff and demand variables: throughput, GDP and trade amount.