• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
• /
• pp.224-227
• /
• 2000

In this Paper, we prepose a method of constructing neural networks using bio-inspired emergent and evolutionary concepts. This method is algorithm that is based on the characteristics of the biological DNA and growth of plants. Here is, we propose a constructing method to make a DNA coding method for production rule of L-system. L-system is based on so-called the parallel rewriting mechanism. The DNA coding method has no limitation in expressing the production rule of L-system. Evolutionary algorithms motivated by Darwinian natural selection are population based searching methods and the high performance of which is highly dependent on the representation of solution space. In order to verify the effectiveness of our scheme, we apply it to one step ahead prediction of Mackey-Glass time series, Sun spot data and KOSPI data.

• 대한산업공학회지
• /
• 제30권1호
• /
• pp.1-10
• /
• 2004

Advance in Internet technology has changed traditional production planning and control methods. In particular, collaborations between participants in supply chains are being increasingly addressed in industry for enhancing chain-wide productivity. A representative paradigm that emphasizes collaboration in production planning and control is CPFR(Collaborative Planning, Forecasting and Replenishment). In this paper, we present a multi-agent system architecture that supports the collaborations specified in CPFR. The multi-agent system architecture consists of event manager, data view agent, business rule agent, and collaboration agent. The collaboration agent systematically controls negotiation between supplier and buyer with the aid of collaboration protocol and blackboard. The multi-agent system has been implemented with EJB(Enterprise Java Beans).

• 한국산학기술학회:학술대회논문집
• /
• 한국산학기술학회 2003년도 Proceeding
• /
• pp.45-49
• /
• 2003

GDS (Grating automatic Drawing System), which is automatic design system of metal products called grating, is a system that produces various detailed drawings on the basis of information within a Plan Drawing that represents layout of the gratings such as locations, shapes, directions, etc However, automatically produced drawings by GDS do not fully satisfy the standard of the general dimension marking method used among the layout designers. The lack of this standard quality mainly results from the fact that overlapping among dimension markings appears frequently. To solve the overlapping problem we applied the rule-based expert system. The rules for the expert system are designed based on the expertise of skilled layout designers within the grating production lines.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
• /
• pp.410-412
• /
• 1998

Subsymbolic Knowledge processing is said to be changed states of networks constructed from small elements. subsymbolic systems also make it possible to use connectionist models for knowledge processing. Connectionist realization such modulus are modulus linked together for solving a given problem. We study using neural networks as distinct actions. The output vectors produced by the neural networks are consider as a new facts. These new facts are then processed to activate another networks or used in the current production rule, The production rule is applying knowledge stored in the knowledge base to make inference. After neural networks knowledge base is constructed and trained. We present a running sample of incorporating neural network knowledge base. We implement using rochester connectionist simulator. We suggest that incorporating neural network knowledge base. Therefore incorporated neural network knowledge base ensures a cleaner solution which results in better perfor s.

• 한국시뮬레이션학회논문지
• /
• 제5권2호
• /
• pp.1-12
• /
• 1996

Utilizing the simulation approaches, the dynamic production scheduling system FOLS(Flexible flowshop On-Line Simulation) is developed under the flexible flowshop environment. When an interruption such as machine failure/recovery is occurred at the shop floor, the FOLS system performs evaluations for job selection rule oriented alternatives, and generates a dynamic production schedule based on the collected current shop floor data. For the case study, the FOLS system is applied to the printed circuit card assembly(PCCA) line and simulation results are reported.

• Asian-Australasian Journal of Animal Sciences
• /
• 제2권3호
• /
• pp.505-506
• /
• 1989

• 한국정보처리학회논문지
• /
• 제7권8호
• /
• pp.2497-2504
• /
• 2000

이 논문에서는 웹 서버 장애 항목을 정의하고, 장애를 진단하기 위한 규칙 및 복구 방법을 INBANCA기법을 이용하여 제안하였다. 장애 항목으로 프로세스 장애, 서버 과부하, 인터페이스 장애, 구성 및 성능 장애를 정의하였으며, 각 장애 항목을 진단하기 위한 지식을 활성 네트워크기법을 적용하여 표현하고, 이를 시스템 레벨 장애 진단 생성규칙과 서비스 레벨에 진단 생성규칙으로 정형화하였다. 또한 사례기반의 웹 서버 장애 복구를 위한 복구 규칙 정의 및 사례 라이브러리 구축을 통하여 환경 변수에 적응적인 복구 메커니즘을 제안하였다. 그리고 제안한 장애 진단규칙 및 복구 메커니즘의 타당성을 증명하기 위한 장애 환경 구성 및 각 장애 환경에 대한 생성규칙 적용과 복구과정을 실험을 통하여 제시하였다. 이 논문에서는 기하 급수적으로 증가하는 웹 서버의 장애 관리를 위한 메커니즘을 제안함으로써 웹 서버 관리를 위한 관리자의 노력을 최소화하고, 지능적인 장애 관리를 위한 방법론을 제시하고자 한다.

• 수산해양기술연구
• /
• 제50권3호
• /
• pp.378-384
• /
• 2014

Trawlers are divided into stern and side types by the method of shooting and hauling net, but the latter is difficult to find beside Korea. In East Sea of Korea, the side type used to be in early 2000's, but it improved to stern type because of its inefficient operating method. The aims of this paper is to make clear the stability of the side trawler in the East Sea, and then confirm whether it satisfy the IMO rule or not, the degree of the transverse inclining angle of the ship when hauling net at hull side. In results, the stability of the ship in initial inclining range satisfied the IMO rule and the domestic rule, but not satisfied those rule in over the range. The limit load of the ship that was coincide with the angle of beam end in hauling net at side was about 26 tons, 18 tons in normal sea condition and storm warning condition respectively. The transverse inclining angles of the ship in hauling net were much higher from 3.3 to 5.5 times than the longitudinal inclining angle of the stern trawler, although those angles were slightly changed with depending on the loading and sea condition.

• Human Ecology Research
• /
• 제56권4호
• /
• pp.407-416
• /
• 2018

This study investigated the characteristics and changes of Jeongbang-village silk culture Jeollanam-do Province during Japanese Colonial Rule with a focus in on Gokseong-gun & Damyang-gun Jeongbang-village. The results of the study are as follows. First, after Japanese occupation, it changed from a traditional silkworm species, the Joseon Silkworms and the mulberry tree to an improved Japanese species. Japan established a silk spinning mill called Jongyeon Textile factory in Gwangju and Jeongbang Village was formed in poor rural areas. Second, the way of village management consisted of buying a large number of land for mulberry plans and creating mulberry fields as a cheap way to utilize the labor force for women and men in rural areas. Third, since the end of the Japanese colonial era, mulberry fields in Jeongbang villages which the Japanese left, were sold at a cheap price to Koreans. After the Korean War, the Korean government's efforts to modernize the silkworm industry resulted in a continuous plan to increase the number of silkworms. The impact of government policies has also increased the production of silkworms in these areas. However, since the early 1980s, Korean companies have been affected by Japanese economic policies and dumping by China that has resulted in in a sharp decline in their production. In the case of Gokseong-gun and Damyang, the production of silk products was halted and switched to other crops in the early 1990s when the farming industry began to decline.

• 대한지리학회지
• /
• 제43권5호
• /
• pp.761-774
• /
• 2008

원격탐사에서 위성 영상의 디지털 처리 기술이 발달하면서 GIS 자료와 지식 기반 전문가 시스템과의 통합에 대한 관심이 증가하고 있다. 본 연구에서는 위성영상을 토지피복 분류하는 과정에서 GIS 자료를 통합하기 위하여 기계 학습 기법과 규칙 기반 분류 기법을 적용하였다. 사례 지역을 대상으로 Landsat ETM+ 영상과 고도, 경사, 향, 수역과의 거리, 도로와의 거리, 인구밀도 등의 GIS 자료를 함께 활용하였다. C5.0 추론 기계 학습 알고리듬을 이용하여 350개의 표본점으로부터 결정 트리와 분류 규칙을 생성하였다. 본 연구에서 도출된 규칙을 이용하여 분류한 결과, 고독 수역과의 거리, 인구밀도 등의 GIS 자료가 규칙 기반 분류에 효과적인 것으로 나타났다. 본 연구에서 제안한 기계 학습과 지식 기반 분류 기법을 이용하면 다양한 GIS 자료들을 통합하여 위성영상을 보다 효과적으로 분류할 수 있다.