• 한국의류산업학회지
• /
• 제2권3호
• /
• pp.246-252
• /
• 2000

The purpose of this study was to analyze the characteristics of the factor structure in Clothing Silhouette Image and the differences of Image Evaluation related to Grouping of Line and Grouping of Body Emphasis using Silhouette Image Factor and Life Space as variables. Clothing Silhouette Image was estimated by the photographs of 9 Life Spaces ${\times}$ 23 Clothing Silhouettes with 15 semantic differentiated by-polar scales. The major finding were : The factor structure of Clothing Silhouette Image were found to include 4 factor dimensions-Capability Evaluation, Function, Activity. It was clear that Silhouette Image were affected by Life Spaces. There were the differences of Image Evaluation related to Grouping of Line and Grouping of Body Emphasis. There were the differences of Life Space Evaluation related to Grouping of Line and Grouping of Body Emphasis. Therefore it is important to considerate Life Space for selecting Clothing Silhouette.

• 대한산업공학회지
• /
• 제24권4호
• /
• pp.649-660
• /
• 1998

Steel making in Mini Mill consists of three major processing stages: molten steel making in an electric arc fuenace, slab casting in a continuous caster, and hot rolling in a finishing mill. Each processing stage has its own lot grouping criterion. However, these criteria in three stages are conflicting with each other. Therefore, delveloping on efficient lot grouping algorithm to enhance the overall productivity of the Mini Mill is an extremely difficult task. The algorithm proposed in this paper is divided into three steps hierarchically: change grouping, cast grouping, and roll grouping. An efficient charge grouping heuristic is developed by exploiting the characteristics of the orders, the processing constraints and the requirements for the downstream stages. In order to maximaize the productivity of the continuous casters, each cast must contain as many charges as possible. Based on the constraint satisfaction problem technique, an efficient cast grouping heuristic is developed. Each roll consists of two casts satisfying the constraints for rolling. The roll grouping problem is formulated as a weighted non-bipartite matching problem, and an optimal roll grouping algorithm is developed. The proposed algorithm is programmed with C language and tested on a SUN Workstation with real data obtained from the H steel works. Through the computational experiment, the algorithm is verified to yield quite satisfactory solutions within a few minutes.

• 한국경영과학회지
• /
• 제20권3호
• /
• pp.61-75
• /
• 1995

In a microcellular personal communication service (PCS) it is required to minimize the paging and location updating signals. We propose a multi-layered location registration scheme to reduce the paging and updating signals. In this scheme the subscribers are grouped by their characteristics (velocity and call arrival rate) and are served by appropriately sized location registration area. In order to group the subscriber, we define subscriber grouping problem (SGP). Proposition are examined to solve the grouping problem. The performance of the proposed subscriber grouping algorithm is tested with examples. Simulation results indicate that the subscriber grouping procedure is effective for designing the multi-layered location registration scheme.

• 한국융합학회논문지
• /
• 제4권3호
• /
• pp.35-41
• /
• 2013

Grouping problem with similarities between DNA sequences are studied. The similaritymeasure and the distance measure showed the complementary characteristics. Distance measure can be obtained by complementing similarity measure, and vice versa. Similarity measure is derived and proved. Usefulness of the proposed similarity measure is applied to grouping problem of 25 cockroach DNA sequences. By calculation of DNA similarity, 25 cockroaches are clustered by four groups, and the results are compared with the previous neighbor-joining method.

• 정보교육학회논문지
• /
• 제14권3호
• /
• pp.291-300
• /
• 2010

협동 학습은 학습자들을 소그룹으로 나누어 상호 협력하여 학습하게 함으로써 학습자의 학업 성취감을 향상시키는 것을 그 목적으로 한다. 그러므로 효과적인 소그룹 생성을 위한 몇몇 기존 연구들이 존재하며, 대부분 연구에서는 교과목, 교수자, 그리고 학습자의 정보로부터 변인 요소들을 추출하고 이를 기반으로 소그룹을 생성한다. 그러나 아직까지 많은 연구들은 특정 교과목에 의존적인 그룹 생성 방법을 제안하고 있을 뿐 다양한 교과목을 대상으로 그룹을 생성하기위한 방법을 제안한 연구는 많지 않다. 더욱이 그룹 생성을 위해 자동화된 시스템을 제안한 연구는 찾아보기 힘들다. 본 논문에서는 다양한 교과목 상황에 따라 그에 맞는 소그룹을 자동으로 생성하는 시스템을 제안한다. 제안된 시스템은 교과목의 기본 정보만을 입력받아 자동으로 그룹을 생성하거나 사용자가 필요하다고 판단되면 추가로 변인 요소를 입력받아 자동으로 소그룹을 생성한다. 본 논문에서는 다양한 변인 요소를 반영하기 위하여 규칙(Rule)을 정의하고 규칙을 기반으로 소그룹을 생성하는 방법을 제안한다. 또한 본 논문은 제안한 그룹 생성 시스템의 사용성을 평가하여 다양한 교과목이 존재하는 대학교육을 대상으로 실제 응용에서 활용 가능함을 보인다.

• Nuclear Engineering and Technology
• /
• 제54권9호
• /
• pp.3336-3346
• /
• 2022

In general, a number of severe accident scenarios derived from Level 2 probabilistic safety assessment (PSA) are typically grouped into several categories to efficiently evaluate their potential impacts on the public with the assumption that scenarios within the same group have similar source term characteristics. To date, however, grouping by similar source terms has been completely reliant on qualitative methods such as logical trees or expert judgements. Recently, an exhaustive simulation approach has been developed to provide quantitative information on the source terms of a large number of severe accident scenarios. With this motivation, this paper proposes a machine learning-based categorization method based on exhaustive simulation for grouping scenarios with similar accident consequences. The proposed method employs clustering with an autoencoder for grouping unlabeled scenarios after dimensionality reductions and feature extractions from the source term data. To validate the suggested method, source term data for 658 severe accident scenarios were used. Results confirmed that the proposed method successfully characterized the severe accident scenarios with similar behavior more precisely than the conventional grouping method.

• KSBB Journal
• /
• 제27권1호
• /
• pp.40-44
• /
• 2012

The laboratory animal group separation is dividing animal population into subgroups, which have similar average and standard deviation values among the subgroups, based on the biological characteristics such as body weight, glucose level in blood, etc. Although group separation is very important and initial step in experimental design, it needs a labor intensive process for researchers because of making similar average and standard deviation values among the subgroups using the raw biological characteristics. To reduce the labor cost and increase the efficiency of animal grouping, we developed a web program named as laboratory animal group separation (LAGS) program. This LAGS uses biological characteristics of population, number of group, and the number of elements per each subgroup as input data. The LAGS automatically separates the population into each subgroup that has similar statistical data such as average and standard deviation values among subgroups. It also provides researchers with the extraordinary data generated in the process of grouping and the final grouping results by graphical display. Through our LAGS, researchers can validate and confirm results of laboratory animal group separation by just a few mouse clicks.

• 한국해양공학회지
• /
• 제16권3호
• /
• pp.46-53
• /
• 2002

In the study, the interaction characteristics among incident waves, run-up and internal waterlevel at core layer of breakwaters were investigated. The effect of core materials on the internal waterlevel characteristics are also discussed using the results with both regular and irregular wave tests. The main results obtained are as follows; The higher internal waterleve was observed under the permeable breakwater with core layer of the lower permeability than with the higher one. And, the internal waterlevl decreased as far as the distance from the toe. In the irregular wave test, the grouping characteristics of incident waves make large fluctuation of the waterlevel. Especially, breakwaters internal waterlevel appeared to affect the hydraulic characteristics on slope.

• 대한전자공학회논문지SP
• /
• 제48권6호
• /
• pp.124-132
• /
• 2011

현대 전자전에서 레이더 신호 환경은 매우 복잡하고 고밀도화 되어 가고 있다. 이러한 신호로부터 원래의 방사체로 각각 분리하여 분석하고 식별하기 위한 전자전지원을 위해서는 신뢰성있는 신호분석 기법이 요구된다. 본 논문에서는 전자전지원의 신호분석 단계에서 신뢰성을 보장하며 신호처리 비용을 줄일 수 있는 새로운 레이더 신호 그룹화 알고리즘을 제안하였다. 제안된 기법은 주파수 변조 특성에 대한 통계적 분포 특성을 활용하여 수신 신호로부터 커널 밀도 추정 방식을 이용하여 신호 그룹화한다. 제안된 기법에 대해 실험 결과를 통해 우수한 성능을 보유함을 확인하였다.

• 디지털콘텐츠학회 논문지
• /
• 제13권3호
• /
• pp.263-269
• /
• 2012

캐릭터의 그룹핑은 3D 게임에서 매우 효과적으로 게임을 즐길 수 있게 한다. 본 논문에서는 객체 특징 벡터를 이용하여 3D 게임 캐릭터를 속성에 따라 그룹핑하는 방법을 제시한다. 게임에서 움직임이 거의 없는 캐릭터(NMT)의 경우 외부가 직선에 의한 단순한 형태로 나타난다. 그러나 움직임이 많은 캐릭터(MT)는 그것과 구분된다. 이러한 특징을 가버 필터를 이용하여 추출하고 K-NN으로 그룹핑한다. 실험을 통하여 각 속성을 사용해서 그룹핑한 경우 80%를 상회하는 정확도를 얻었다. 제안한 방법은 게임 진행에서 유사한 속성을 가진 캐릭터들이 효과적으로 그룹핑되어 전략적이고 속도감 있게 플레이 할 수 있는 기능을 제공한다.