• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.1
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• pp.201-210
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• 2003

In this paper, we propose a new binocular stereo correspondence method by maximizing a fitness formulated by integrating two constraints of edge similarity and disparity smoothness simultaneously. The proposed stereopsis focusing to measure distances to leading vehicles on roads uses intensity gradients as matching attribute. In contrast to the previous work of area-based stereo matching, in which matching unit is a pixel, the matching unit of the proposed method becomes an area itself which is obtained by selecting a series of pixels enclosed by two pixels on the left and right boundaries of an object. This approach allows us to cope with real-time processing and to avoid window size selection problems arising from conventional area-based stereo.

• Proceedings of the ESK Conference
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• 1997.04a
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• pp.212-226
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• 1997

Industrial design aiming the mutual benefit of both user and manufacturer demands grasping and analyzing the needa and wants of consumer for the establishrment of the optimum plan and production by attribute oriented approach. Inspite of its usefulness, however, it might be impossible to help industrial designers to develop a new product effectively without full understanding of industrial design activity in attributes of products and using the appropriate methodology for grasping the main attributes. This thesis is purposed for developing the guideline of research models of consumer for industrial design by studying characteristics of industrial design activity in attributes of products through bibliography and defining the clear limit of design research focused on consumer selection through comparison with real purchase decision making procedure at every phase. Through the observation and analysis of the real purchase decision making procedure following the proposed guideline, the possibility of difference between the two cases has been shown in both theoretical and practical aspects.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.203-216
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• 2008

The purpose of this study is to investigate the preference of Korean traditional food and kimchi among different age groups in order to find a way to increase kimchi consumption. For this study, data from 15 male respondents(5.2%) and 271 female respondents(94.8%) was used. Age distribution of total respondents were in their 20's(21.8%), 30's(32.7%), 40's(32.7%) and 50's(11.6%), which showed the rate of 40's was very high. Most of the groups showed similar rates over the question on "have to eat kimchi" and "don't need to eat kimchi", but the elders' preference was high while the youngers' was relatively low. Therefore, the preference of kimchi has a small gap between the age groups, but all of them like kimchi in general.

• Asia pacific journal of information systems
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• v.9 no.3
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• pp.75-92
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• 1999

Executive information systems (EIS) developers are faced with an increasingly difficult choice problem in the evaluation and selection of software packages. For many reasons, they frequently must depend on identification and evaluation of features of packages. When EIS software evaluation is regarded as an unstructured or semi-structured group decision making problem, the most appropriate decision-aiding methods are needed to help effective group interaction. This paper examines evaluation criteria of full-featured EIS packages and considers the priority of these criteria using the Analytic Hierarchy Process (AHP). Two exploratory phases are presented. In the first phase, an approach combining the AHP with the linear weighted attribute method is presented to computer qualities of some packages. In the second phase, the decision making group includes EIS developers, users, and vendors to prioritize evaluation criteria.

• Asia pacific journal of information systems
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• v.12 no.1
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• pp.1-16
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• 2002

Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.38
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• pp.51-60
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• 1996

There is a general challenge offered to the field of engineering economics by the introduction of advanced technologies. A survey of the existing literature on evaluation of advanced information and manufacturing system indicate that the traditional approaches are inadequate for economic evaluation techniques used in its appraisal, difficulty in evaluating the potential benefits and criteria used to assess management performance. In this paper, an attempt has been made to overcome the above deficiencies by presenting an approach to account for the justification and selection of the Local Area Network(LAN) architectures. This is based on the Analytic Hierarchy Process(AHP) and is capable of taking into account many intangible factors as well. The usefulness of the proposed approach is demonstrated through a case situation and sensitivity analysis. Finally, some research directions for future work are identified.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.397-401
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• 2008

추천시스템은 일반적으로 협동적 필터링이라는 정보 필터링 기술을 사용한다. 협동적 필터링은 유사한 성향을 갖는 다른 고객들이 상품에 대해서 매긴 평가에 기반하기 때문에 고객에게 가장 적합한 유사 이웃들을 적절히 선정해 내는 것이 추천시스템의 예측의 질 향상을 위해서 필요하다. 본 논문에서는 다중 속성 정보를 기반으로 한 다단계 클러스터링을 통한 이웃선정 방법을 제안한다. 이 방법은 대규모 데이터 셋에서 탐색 공간을 줄이기 위해 클러스터링을 수행하여 적절한 이웃 고객들의 집합을 검색하여 추출한다. 이 때, 다중 속성 정보에 따라 단계적으로 클러스터링을 수행함으로써 보다 정제된 고객 집합을 구성할 수 있도록 한다. 본 논문에서는 고객 선호도와 위치 정보 및 아이템의 선호도와 위치 정보를 대표적인 속성 정보로 사용함으로써 모바일 환경에서 보다 정확한 추천이 이루어질 수 있도록 한다.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.28
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• pp.143-167
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• 2005

This study suggests the necessity of effort to develop representative brands a unique personality in connection with country image. That is, brand personality adds brand identity to reliability and makes for stronger brand in the international market. It also furnishes the differentiation for guilding effective brand marketing. In summary, it is clear that country image and brand personality are strategic factors which should be considered by world enterprises and government in this era of globalization. In addition, the cross-cultural examination of country of origin effect and brand personality in connection with foreign consumers' selection is worthy of study.

• Culinary science and hospitality research
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• v.11 no.1
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• pp.87-104
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• 2005

A lifestyle changes according to environment. It appears more in the dietary life connected with the necessities in life. This study is executed empirically through the questionnaire that consists of selection attribute and variables connected with "well-being" that is examined in empirical analysis. It was carried out for 20 days from July 15 to August 5, 2003 with the customers who live in Seoul and the suburbs. With collected data, there were frequency analysis and factor analysis, reliability analysis using SPSS 10.0 packages, and T-test and ANOVA were enforced for the verification of differences between demographic elements with each factor. The result indicates that the inclinations of customers changed from the "well-being" trend have four factors: health consideration factor, food materials factor, cooking factor, and habit factor. And the housewife group shows the great changes in habit factor. In case of the changes according to incomes, the larger income earners tend to consider health more. In conclusion, people came to prefer the healthy Korean style food from the well-being trend.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.4
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• pp.251-258
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• 2005

Automatic document classification may differ significantly according to the characteristics of documents that are subject to classification, as well as classifier's performance. This research identifies e-mail document's characteristics to apply a three-step preprocessing algorithm that can minimize e-mail document's atypical characteristics. In the first 5go, uncertain based sampling algorithm that used Mean Absolute Deviation(MAD), is used to address the question of selection learning document for the rule generation at the time of classification. In the subsequent stage, Weighted vlaue assigning method by attribute is applied to increase the discriminating capability of the terms that appear on the title on the e-mail document characteristic level. in the third and last stage, accuracy level during classification by each category is increased by using Naive Bayesian Presumptive Algorithm's Dynamic Threshold. And, we implemented an E-Mail Recommendtion System using a three-step preprocessing algorithm the enable users for direct and optimal classification with the recommendation of the applicable category when a mail arrives.