• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.589-594
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• 1991

Group Technology (GT) is a technique for identifying and bringing together related or similar components in a production process in order to take advantage of their similarities by making use of, for example, the inherent economies of flow production methods. The process of identification, from large variety and total of components, of the part families requiring similar manufacturing operations and forming the associated groups of machines is referred as 'machine-component grouping'. First part of this paper is devoted to describing a hierarchical divisive algorithm based on graph theory to find the natural part families. The objective is to form components into part families such that the degree of inter-relations is high among components within the same part family and low between components of different part families. Second part of this paper focuses on establishing cell design procedures. The aim is to create cells in which the most expensive and important machines-called key machine - have a reasonably high utilization and the machines should be allocated to minimize the intercell movement of machine loads. To fulfil the above objectives, 0-1 integer programming model is developed and the solution procedures are found. Next an attempt is made to test the feasibility of the proposed method. Several different problems appearing in the literature are chosen and the results air briefly showed.

• 한국정보처리학회논문지
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• 제6권5호
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• pp.1241-1252
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• 1999

It is proposed in TINA, the open information telecommunication network architecture, that the definition of object group which is collection of objects provides a decrease of complex networking and a facility of object managing by service executing of application on distributed computing environment. Based on a new distributed object group model[13] we have been researched according to TINA specification, this paper proposed the object group model with the scheduler object and objects management mechanisms that can support real-time services on CORBA. To do this, we described the definition of object grouping and the requirements to suggest the object group model supporting real-time service, designed the object group structure and functional components containing in an object group using James Rumbaugh's modelling[12], and showed a class diagram of components in an object group. This paper designed IDLs of an object group manager and scheduler among the components, and finally showed the procedures of management and service interconnections between objects in the different object groups vi ETD.

• 한국식품과학회지
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• 제47권5호
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• pp.567-573
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• 2015

일본 증류식 소주인 본격소주 9종을 수거하여 시료의 휘발성 향기성분을 헤드스페이스-고체상미량추출법에 의해 추출한 후, 가스크로마토그래피-질량분석기를 이용하여 분석하였다. 총 76개의 성분이 동정되었고, 화학적 특성에 따라 분류하면 에스터 48종, 알코올 13종, 기타 15종의 성분이 동정되었다. 에스터와 알코올이 주요한 성분으로 분석되었으며 아세트산아이소아밀, 폼산아이소아밀, 헥산산에틸, 옥탄산에틸, 데카노산에틸, 아이소아밀알코올, 2-페닐에탄올이 주요 성분으로 나타났다. 주성분 분석 결과 제조원료에 따라 주성분1 선상에서 대맥국 원료 본격소주의 향기패턴이 큰 차이를 보이는 것으로 나타났으며 쌀과 보리 원료에 따른 향기패턴의 차이는 크게 나타나지 않았다. 본 연구의 일본 본격소주 휘발성 향기성분 분석 결과와 국내산 증류식 소주의 주요 향기성분 분석 결과를 비교분석하면 향후 국내산 증류식 소주의 품질관리에 주요한 향기성분 파악이 가능하고 이를 통해 다양한 원재료와 제조방법에 따른 증류식 소주 제품 개발이 가능하리라 여겨진다.

• 대한산업공학회지
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• 제33권3호
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• pp.349-354
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• 2007

A mixture experiment is a special type of the response surface experiment in which the factors are the components of a mixture, and the response variable is a function of the proportions of each component. When a new mixture product is developed, there are a large number of components, and the first objective of the experiment is to identify the ones that are most important by doing a screening experiment. We propose a method of screening mixture components using the correlation coefficients when t-tests cannot identify significant components.

• 한국의류학회지
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• 제26권11호
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• pp.1558-1569
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• 2002

Two components of brand image are brand association related to brand properties and brand persona which is measured by descriptive words. The purpose of this study is to analyze the brand image of apparel by qualitative approach including natural grouping method suggested by Aaker. For this, face-to-face interviews were carried out in March and April 200l.11 interviewees were respectively asked to classify' pre-selected several tens of apparel brands based on their image differentiation, and then to explain the reason of grouping and to describe resultant brand groups. In this process, many brand image associations and brand persona-descriptive words were collected. 9 types of brand association were identified, and these were summarized as three factors suggested by Keller -attributes, benefits, and attitudes/evaluations. And 3 words which used to refer brand image frequently -dokteukhan (unique), simple, and yeosungseureowoon (feminine)- were interpreted in their meaning. Brand persona-descriptive words implied diverse meaning which were dependent on context.

• 인터넷정보학회논문지
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• 제12권3호
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• pp.37-47
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• 2011

클라우드 시스템에 대한 현재의 연구들은 대규모 시스템 구현에 있어서 클라우드 구성요소들 간의 적절한 상호작용에 집중되어 있다. 그러나 이러한 시스템들은 속성을 기반으로 한 유사한 서비스 제공자들을 그룹화 하거나 효율적인 자원공유를 향상시키기 위한 지능적인 부하분산과 같은 지능적 기법을 제공하지 않는다. 본 논문은 클라우드 제공자를 그룹화하여 효율적인 서비스 가상화를 제공하여 서비스 프로비저닝을 향상시킨다. 클러스터 분석에 기반한 클라우드 서비스 제공자의 그룹화는 유사하거나 관련된 서비스를 하나의 그룹으로 만든다. 동적인 부하 균형화는 클라우드 시스템의 서비스 프로비저닝을 지원하며 동적인 기법을 사용하여 그룹내에서 부하분산을 담당한다. 제안한 가상화 기법(GRALB)은 다른 기법에 비해 메시지 오버헤드나 성능 면에서 좋은 결과를 보였다.

• 한국항해학회지
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• 제25권4호
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• pp.477-486
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• 2001

Although the ports are actually competing with various strategies, the definition and structural understanding of port competitive power are not known very much. Therefore this study has launched from this fact, and has the objective of obtaining the structural model of the competitive power, and understanding the components of the port competitive power. The following are the results of the study. First, the process began by abstracting the components that composed the port competitive power through recent research, and grouping it by the most core components using the KJ method. Also, by using the FSM(Fuzzy Structural Modeling) method to understand the structure of the grouped components, and the structural model of the port competitive power was able to obtain as the result. Second, when analyzing the obtained structural model, port expenses, main trunk location, port congestion and port facility came out to be the most important component groups, and especially port expenses was the most effective component that effected all the other components overall. Third, the component groups that were relatively less important, effected by most of the other components, and located on the top level of the structure model were the hinterland accessibility, port ownership, customs duties speed, and large ship port entrance possibility etc. Fourth, the results of this study will be able to be used when establishing competing strategies for our country's ports by proposing the relatively important components with the port competitive rower considered.

• 한국IT서비스학회지
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• 제5권1호
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• pp.177-190
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• 2006

Since their first inception a few decades ago, software components have received much attention mainly due to their alleged benefits of quality and productivity improvement. Despite this, it is yet to be agreed upon what and how components should be designed. This paper aims to bridge the gap by proposing a collaborative process where the voice of the customer is captured and documented by employing the event and entity models. These requirement elements (WHAT) are cross-tabulated in three relation matrices in accordance with the weights provided by the business users. The requirements are fed into the algorithm invented by the authors to optimize the component grouping (HOW). This collaborative process has been successfully validated at an enterprise wide software development project. The process was effective to help the users more actively involved in the design of the system and made the whole process faster and more adaptive to the changes.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2006년도 춘계학술발표회 논문집
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• pp.463-467
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• 2006

Several segmentation algorithms have been proposed for DTM generation or building modeling from airborne LiDAR data. Three components are important for accurate segmentation: (i) the adjacent relationship of n-nearest points or mesh, etc. (ii) the effective decision parameters of height, slope, curvature, and plane condition, (iii) grouping methods. In this paper, we created the topology of point cloud data using the contour tree and implemented the region-growing Terrain and non-terrain points were classified correctly in the segmented data, which can be used also for feature classification.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.181-191
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• 1999

We consider Bayesian models allow multiple grouping of parameters for the normal means estimation problem. In particular, we consider a typical Bayesian hierarchical approach based on thepartial exchangeability where the components within a subgroup are exchangeable, but the different subgroups are not. We discuss implementation of such Bayesian procedures via Gibbs sampling. We illustrate the proposed methods with numerical examples.