• 디지털융복합연구
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• 제14권10호
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• pp.295-302
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• 2016

ICT 강국을 중심으로 국가자원에서 IoT기반의 기술을 지원하고 있으며, 기업 및 연구소에서도 기술 개발 및 생태계 조성을 위해서 활발히 연구되고 있다. 서울시의 도로 곳곳에서는 IoT기반의 공공시설이 도입되고 있으며, 사용자들로부터 다양한 서비스 및 편의성을 제공하고 있다. 하지만 IoT의 본격적인 도래와 발전을 위해서는 보안 및 프라이버시 침해와 생명과 안전에 대한 위협하는 사례가 빈번히 발생하고 있다. 또한 IoT 환경은 기존의 센서 네트워크, 이 기종 통신 네트워크, IoT 환경에서 최적화된 Device 등 다양한 환경기술을 포함하고 있으므로 기존의 보안 위협 및 다양한 공격 기법을 계승한다. 그러므로 본 논문에서는 IoT환경에서 안전한 통신을 위한 속성기반 암호화기술에 대해서 연구한다. 디바이스에서 수집된 데이터를 속성기반의 암호화 기법을 활용하여 전송하며, 키 생성 프로토콜을 설계하여 디바이스와 사용자에 대한 등급 및 권한을 식별하여 안전한 메시지를 전송하도록 한다. 성능평가를 수행하여 기존의 RSA 알고리즘 대비 암호화, 서명부분에서 대략 69%, 40%의 향상된 속도를 확인하였으며, IoT환경에서 발생하는 보안위협에 대해서 안전성을 분석하였다.

• 정보기술과데이타베이스저널
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• 제6권2호
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• pp.71-86
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• 1999

The performance of relational database is measured by the number of disk accesses necessary to transfer data from disk to main memory. The paper proposes to vertically partition relations into fragments and to allow attribute replication to reduce the number of disk accesses. To reduce the computational time, heuristic search method using genetic algorithm is used. Genetic algorithm used employs a rank-based-sharing fitness function and elitism. Desirable parameters of genetic algorithm are obtained through experiments and used to find the solutions. Solutions of attribute replication and attribute non-replication problems are compared. Optimal solutions obtained by branch and bound method and by heuristic solutions(genetic algorithm) are also discussed. The solution method proposed is able to solve large-sized problems within acceptable time limit and shows solutions near the optimal value.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.148-151
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• 2003

Recently school food service operations are confronted with the wide spread pressures for accountability and the need to increase productivity. This paper is concerned with the make-or-buy decision framework for school food service systems considering the multi-attributes in the decision making. For the purpose of considering the multi-attributes analysis method in decision making for the school foodservice, we developed a make-or-buy decision framework using the multi-attribute analysis method, analytic hierarchy process, AHP method for school food service system. Finally, we developed a systematic and practical solution builder for a three-step decision support system in the view of 1) brainstorming for the idea generation, 2) analytic hierarchy process, AHP as a multi-attribute structure ed analysis method, and 3) aggregation logic model to integrate the results of reviewers. We developed web based program and applied it to a school foodservice problem.

• 한국조리학회지
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• 제12권3호
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• pp.61-74
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• 2006

The objective of this study are to examine how the factors influence each other by determining the appropriate measurement standard based on the Dining-out Motives, restaurant attribute evaluation, intention of word of mouth and reusing, an effective restaurant marketing strategy on the basis of the analytical results by patrons and market segmentations. The study surveyed 321 subjects and processed the result using SPSS for Win. V. 12.1. For statistical analysis, Frequency, Factor Analysis, and Regression were put into operation. The results showed that dining-out motives and restaurant attribute evaluation had positive effects on the intention of word of mouth and reusing. Furthermore, the restaurant owners or managers will need to understand the existing market and target markets more objectively, and, through this market segmentation, formulate a marketing strategy that is appropriate for diverse desires of customers and different characteristics of restaurants.

• Asia pacific journal of information systems
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• 제16권4호
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• pp.1-25
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• 2006

This research approached the negotiation problem from the seller's perspective in the make-to-order manufacturing industry in order to solve the multi-attribute automated negotiation problem. To this end, more than 'two negotiation attributes are defined and a preferred value of each negotiation alternative is calculated based on the entropy value of each attribute. And then, the best option is selected according to the utility function of each negotiator, a penalty of negotiation delay, and conviction of possibility of negotiation success. The suggested automated negotiation methods in this study can be employed for the development of advanced automated negotiation systems.

• 한국지능시스템학회논문지
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• 제8권6호
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• pp.27-36
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• 1998

본 논문은 대규모 데이터베이스에서 유용한 지식을 발견하기 위해 라프셋을 중심으로 한 통합적 방법을 제시한다. 본 방업에서는 데이터베이스에 있는 실제 데이터에서 일반화된 데이터를 추출하기 위해 속성중심의 개념계층 상승기법을 사용하고, 획득 정보량을 측정하기 위해 결정 트리에 의한 귀납법을 사용한다. 그리고 불필요한 속성 및 속성값을 제거하기 위해 라프셋 이론의 지식감축 방법을 적용한다. 통합 알고리즘은 먼저, 개념의 일반화에 의해 데이터베이스의 크기를 줄이고, 다음으로 결정속성에 영향을 적게 미치는 조건속성을 제거함으로써 속성의 수를 줄인다. 마지막으로 속성간의 종속관계를 분석함으로써 불필요한 속성값을 제거하여 간략화된 결정규칙을 유도한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1031-1033
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• 2005

This paper presents a system of handwritten numerals recognition, which is based on Ant-miner algorithm (data mining based on Ant colony optimization). At the beginning, three distinct fractures (also called attributes) of each numeral are extracted. The attributes are Loop zones, End points, and Feature codes. After these data are extracted, the attributes are in the form of attribute = value (eg. End point10 = true). The extraction is started by dividing the numeral into 12 zones. The numbers 1-12 are referenced for each zone. The possible values of Loop zone attribute in each zone are "true" and "false". The meaning of "true" is that the zone contains the loop of the numeral. The Endpoint attribute being "true" means that this zone contains the end point of the numeral. There are 24 attributes now. The Feature code attribute tells us how many lines of a numeral are passed by the referenced line. There are 7 referenced lines used in this experiment. The total attributes are 31. All attributes are used for construction of the classification rules by the Ant-miner algorithm in order to classify 10 numerals. The Ant-miner algorithm is adapted with a little change in this experiment for a better recognition rate. The results showed the system can recognize all of the training set (a thousand items of data from 50 people). When the unseen data is tested from 10 people, the recognition rate is 98 %.

• 지식경영연구
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• 제10권4호
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• pp.163-183
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• 2009

Numerous studies in the field of buyer-supplier relationship research have focused on the buyer's performance. In contrast, supplier's performance has been paid relatively little attention by researchers, especially the research about the supplier's innovation in the relationship is still in its early stage. In this paper, we examine the relation between the attribute of buyer-supplier relationship and the attribute of supplier's innovation through case research. We define the attribute of buyer-supplier relationship as 'tie strength' (Granovetter, 1973), and the attribute of supplier's innovation as 'exploitation or exploration' (March, 1991). We selected the semiconductor equipment industry of U.S.A, Japan and Korea and firm (JUSUNG Engineering) as cases that examine the relation. We found that a strong tie relationship is positively associated with supplier's exploitation based innovation, and a weak tie relationship is positively related to it's exploration based innovation in this research also. In addition, we could verify reduction of strong tie relationship cause supplier's organizational change.

• 한국의류학회지
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• 제35권9호
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권4호
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• pp.287-295
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• 2010

Based on the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued in tuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy numbers, and the information about attribute weights is partially known. Anumerical example is used to illustrate the applicability of the proposed approach.