• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.11a
• /
• pp.645-648
• /
• 2004

현재 웹 데이터는 폭발적으로 증가하고 있지만 이를 통해 유용한 정보를 추출한 지식 표현 위주의 웹 데이터는 부족한 실정이다. 이러한 문제점을 해결하기 위해 제안된 시맨틱 웹은 온톨로지를 기반구조로 하고 있다. 그러나 현재 온톨로지의 생성에 관한 기존 연구들은 대부분 도메인 전문가들의 휴리스틱에 의존하는 수작업 형태를 띠고 있다. 이러한 방법은 많은 시간과 노력이 소요될 뿐만 아니라 뜻하지 않은 오류가 나타날 수 있다. 이와 같은 문제를 해결하기 위해 우리는 소프트웨어 공학적인 접근방법을 통하여 온톨로지를 효과적으로 설계 및 생성하는 방법을 제안한다. 우리는 기존의 UML과 OWL을 단순 매핑하는 방법에 MDA 접근법의 장점들을 취하여 통합, 확장하였다. 즉, MDA를 기반으로 UML을 이용하여 온톨로지를 설계한 후 설계된 온톨로지 모델을 XMI를 통해 온톨로지 기술 언어인 OWL로 변환하는 과정을 거쳐 온톨로지를 생성한다. 끝으로 구체적인 보기를 통해 본 논문에서 제안한 방법의 타당성을 보인다.

• Journal of Intelligence and Information Systems
• /
• v.19 no.4
• /
• pp.55-79
• /
• 2013

In this paper, we propose a hybrid genetic algorithm (HGA) approach to effectively solve the reverse logistics network with centralized centers (RLNCC). For the proposed HGA approach, genetic algorithm (GA) is used as a main algorithm. For implementing GA, a new bit-string representation scheme using 0 and 1 values is suggested, which can easily make initial population of GA. As genetic operators, the elitist strategy in enlarged sampling space developed by Gen and Chang (1997), a new two-point crossover operator, and a new random mutation operator are used for selection, crossover and mutation, respectively. For hybrid concept of GA, an iterative hill climbing method (IHCM) developed by Michalewicz (1994) is inserted into HGA search loop. The IHCM is one of local search techniques and precisely explores the space converged by GA search. The RLNCC is composed of collection centers, remanufacturing centers, redistribution centers, and secondary markets in reverse logistics networks. Of the centers and secondary markets, only one collection center, remanufacturing center, redistribution center, and secondary market should be opened in reverse logistics networks. Some assumptions are considered for effectively implementing the RLNCC The RLNCC is represented by a mixed integer programming (MIP) model using indexes, parameters and decision variables. The objective function of the MIP model is to minimize the total cost which is consisted of transportation cost, fixed cost, and handling cost. The transportation cost is obtained by transporting the returned products between each centers and secondary markets. The fixed cost is calculated by opening or closing decision at each center and secondary markets. That is, if there are three collection centers (the opening costs of collection center 1 2, and 3 are 10.5, 12.1, 8.9, respectively), and the collection center 1 is opened and the remainders are all closed, then the fixed cost is 10.5. The handling cost means the cost of treating the products returned from customers at each center and secondary markets which are opened at each RLNCC stage. The RLNCC is solved by the proposed HGA approach. In numerical experiment, the proposed HGA and a conventional competing approach is compared with each other using various measures of performance. For the conventional competing approach, the GA approach by Yun (2013) is used. The GA approach has not any local search technique such as the IHCM proposed the HGA approach. As measures of performance, CPU time, optimal solution, and optimal setting are used. Two types of the RLNCC with different numbers of customers, collection centers, remanufacturing centers, redistribution centers and secondary markets are presented for comparing the performances of the HGA and GA approaches. The MIP models using the two types of the RLNCC are programmed by Visual Basic Version 6.0, and the computer implementing environment is the IBM compatible PC with 3.06Ghz CPU speed and 1GB RAM on Windows XP. The parameters used in the HGA and GA approaches are that the total number of generations is 10,000, population size 20, crossover rate 0.5, mutation rate 0.1, and the search range for the IHCM is 2.0. Total 20 iterations are made for eliminating the randomness of the searches of the HGA and GA approaches. With performance comparisons, network representations by opening/closing decision, and convergence processes using two types of the RLNCCs, the experimental result shows that the HGA has significantly better performance in terms of the optimal solution than the GA, though the GA is slightly quicker than the HGA in terms of the CPU time. Finally, it has been proved that the proposed HGA approach is more efficient than conventional GA approach in two types of the RLNCC since the former has a GA search process as well as a local search process for additional search scheme, while the latter has a GA search process alone. For a future study, much more large-sized RLNCCs will be tested for robustness of our approach.

• The KIPS Transactions:PartB
• /
• v.11B no.6
• /
• pp.683-690
• /
• 2004

Garment modeling and simulation is now one of the important elements in broad range of digital contents. Though there have been recent products on garment simulation, general users do not know well enough how to design a virtual costume that meets some requirements about its specific clothing pattern. In particular, Hanbok - the Korean traditional costume - has many different characteristics against western ones in the aspect of its pattern design and of draping. This paper presents a knowledge-driven approach for virtual Hanbok modeling without knowing how to make real Hanbok. First, parameterized knowledge for several fabric types art solicited using visual similarity assessment from simulated and real cloth. Secondly, based on the analysis of designer's knowledge, we defined multi-level adjustment processes of Hanbok measurements with regard to body shape features for different virtual actors. An experimental system is developed as the form of a Maya plug-in and the result shows the applicability of the proposed method.

• Journal of Internet Computing and Services
• /
• v.5 no.2
• /
• pp.97-105
• /
• 2004

The reason that an intelligent agent cannot understand the representation of its own perception or activity is caused by the traditional syntactic approach that translates a semantic feature into a simulated string, To implement an autonomously learning intelligent agent, Cohen introduces a experimentally semantic approach that the system learns a contentful representation of physical schema from physically interacting with environment using its own sensors and effectors. We propose that negation is a meta-level schema that enables an agent to recognize its own physical schema, To improve the planner's efficiency, Graphplan introduces the control rule that manipulates the inconsistency between planning operators, but it cannot cognitively understand negation and suffers from redundancy problem. By introducing a negative function not, IPP solves the problem, but its approach is still syntactic and is inefficient in terms of time and space. In this paper, we propose that, to represent a negative fact, a positive atom, which is called opposite concept, is a very efficient technique for implementing an cognitive agent, and demonstrate some empirical results supporting the hypothesis.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.215-215
• /
• 2019

우리나라 뿐만 아니라 세계 각지에서 태풍이나 집중호우로 인한 침수피해가 증가하고 있다. 그 원인으로는 수공구조물의 설계빈도를 초과하는 강우, 도시지역 확장으로 인한 불투수지역의 확대, 배수시설의 용량부족 등이 있다. 본 연구에서는 수치지형도, 토양도, 토지이용도 등 누구나 쉽게 구할 수 있는 자료를 이용하여 홍수로 인한 피해가 발생하기 쉬운 지역을 선별하고자 하였다. 우선 강우가 지표면에 도달하게 되면 지표면의 경사, 토양의 특성, 토지이용 등에 영향을 받아 침투되지 못하고 표면에 고이게 되는데 이를 유출생성지도로 표현하였다. 그리고 이렇게 생성된 표면유출수가 지표면의 경사, 지표면의 요철(凹凸), 도로나 철도 등의 인공선형축 등에 영향을 받아 흐르기 쉬우며 이를 유출이동지도로 표현하였다. 또한, 이동된 유출수가 고이기 쉬운 저지대, 지표면의 요철 등으로 인해 누적되는 유출누적지도로 표현하였다. 유출생성지도는 이동, 누적지도의 입력자료가 되어 상류의 유출생성의 정도가 하류지역에 영향을 주도록 하였으며, 최종적으로 유출이 동지도와 누적지도가 실제 침수흔적도와 얼마나 일치하는지 확인하기 위해 서울시 침수흔적도와 비교하였다. 기존의 재해 지도를 얻기 위해서는 강우량을 조사하여 수치모형에 입력함으로써 1차원 또는 2차원의 침수예상도를 작성하는 반면에 본 연구에서는 지형 정보만을 가지고 취약지구를 선정하기 때문에 유역전체 또는 시, 도 단위로 광범위한 연구 영역에 적용이 가능하다. 또한, Spatial MCDM 등을 통해 여러 Raster 자료를 하나의 지표로 나타내기보다 유출수가 생성(또는 이동, 누적)되기 쉬운 지역을 1, 그렇지 않은 지역은 0으로 표현하는 이분법적 분석을 통해 가중치설정과 모호한 경계의 처리 때문에 사용자 및 자료에 따라 취약한 지역이 달라지는 것을 방지하고자 하였다. 이를 통해 표면 유출수로 인해 침수피해가 발생하기 쉬운 지역을 홍수취약지구로 선정하여 침수재해 중점관리 우선순위가 될 수 있도록 하였다.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.23 no.2
• /
• pp.157-185
• /
• 1998

One of the essential issues in model systems is how to represent and manipulate mathematical modeling knowledge. As the bases of integrated modeling environments, current modeling frameworks have limitations: lack of facility to coordinate different users perpectives and lack of mechanism to reuse modeling knowledge. In this paper, multi-facetted modeling approach is proposed as a basis for the development of integrated modeling environment which provides facilities for (1) independent management of modeling knowledge from individual models； (2) object-oriented conceptual blackboard concept； (3) multi-facetted modeling； and (4) declarative representation of mathematical knowledge. The proposed multi-facetted approach is illustrated using multicommodity transportation models.

• Journal of the Korean Society for information Management
• /
• v.22 no.1 s.55
• /
• pp.191-208
• /
• 2005

This study utilizes various approaches for new topic detection in the process of assigning and updating descriptors, which is a representation method of the knowledge structure. Particularly in the case of occurring changes on the knowledge structure due to the appearance and development of new topics in specific study areas, new topic detection can be applied to solving the impossibility or limitation of the existing index terms in representing subject concepts. This study confirms that the majority of newly developing topics in information science are closely associated with each other and are simultaneously in the phase of growth and development. Also, this study shows the possibility that the use of candidate descriptor lists generated by new topic detection methods can be an effective tool in assisting indexers. In particular. the provision of candidate descriptor lists to help assignment of appropriate descriptors will contribute to the improvement of the effectiveness and accuracy of indexing.

• Journal of Digital Convergence
• /
• v.11 no.1
• /
• pp.447-457
• /
• 2013

Given the our life environment being the original space which surrounding human today's our environment turned in the artificial and dried space because it's focus on planned and made by city's function and efficiency. So Isamu Noguchi is try to express the formative space which can live nature and human, and human and space together just for a bit. And he succeeded to create the new molding formation named the environment and sculpture to deeply get the problem on nature of place and understanding of place for aesthetic satisfaction. So he makes great contribution towards the monument and field of environmental sculpture. So this thesis is for making clear the importance of space for the sculpture and effect on Isamu Noguchi's environmental sculpture by analyzing the various artworks by Isamu Noguchi and studying his space concept and space sensation of his through generating the experiment of space and eclecticism. Noguchi pursed the harmony with the artwork by expending the architectural space to the full, and he focus his energies to left the artwork which with the public in their lives.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.10 no.3
• /
• pp.252-259
• /
• 2000

In this paper, we propose a Fuzzy Classifier System(FCS) to find a set of fuzzy rules which can carry out the edge detection of a image. The FCS is based on the fuzzy logic system combined with machine learning. Therefore the antecedent and consequent of a classifier in FCS are the same as those of a fuzzy rule. There are two different approaches, Michigan and Pittsburgh approaches, to acquire appropriate fuzzy rules by evolutionary computation. In this paper, we use the Michigan style in which a single fuzzy if-then rule is coded as an individual. Also the FCS employs the Genetic Algorithms to generate new rules and modify rules when performance of the system needs to be improved. The proposed method is evaluated by applying it to the edge detection of a gray-level image that is a pre-processing step of the computer vision. the differences of average gray-level of the each vertical/horizontal arrays of neighborhood pixels are represented into fuzzy sets, and then the center pixel is decided whether it is edge pixel or not using fuzzy if-then rules. We compare the resulting image with a conventional edge image obtained by the other edge detection method such as Sobel edge detection.

• Korean Journal of Microbiology
• /
• v.37 no.2
• /
• pp.101-108
• /
• 2001

Risk assessment defines as the process of estimating both the probability that an event will occur and the probable magnitude of its adverse effects. Chemical or microbial risk assessment generally follows four basic steps, that is, hazard identification, exposure assessment, dose-response assessment, and risk characterization. Risk assessment provides an effective framework for determining the relative urgency of problems and the allocation of resources to reduce risks. Using the results of risk analyses, we can target prevention, reme-diation, or control effects towards areas, sources, or situations in which the greatest risk reductions can be achieved with resources available. Risk assessment is also used to explain chemical and microbial risks as well as ecosystem impacts. Moreover, this process, which allows the quantitation and comparison of diverse risks, lets risk managers utilize the maximum amount of complex information in the decision-making process. This information can also be used to weigh the cost and benefits of control options and to develop standards or treatment options.