• Journal of the Korean Society for Precision Engineering
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• v.14 no.4
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• pp.46-55
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• 1997

This paper presents the development of intelligent performance management of computer communication networks for larger-scale integrated systems and the demonstration of its efficacy using computer simula- tion. The innermost core of the performance management is based on fuzzy set theory. This fuzzy perfor- mance manager has learning ability by using principles of neuro-fuzzy model, neuralnetwork, genetic algo- rithm(GA). Two types of performance managers are described in this paper. One is the Neuro-Fuzzy Per- formance Manager(NFPM) of which learning ability is based on the conventional gradient method, and the other is GA-based Neuro-Fuzzy Performance Manager(GNFPM)with its learning ability based on a genetic algorithm. These performance managers have been evaluated via discrete event simulation of a computer network.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.911-916
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• 2009

Cooper 는 퍼소나를 구체적으로 만들수록 유연성이 사라지기 때문에 디자인 도구로써의 퍼소나는 더욱 더 강력해진다고 하였다. 하지만 정밀한 퍼소나가 중요함에도 생성 초기에 특성과 관련하여 각각의 필요성과 우선순위에 대한 복잡함, 시간 투자 대비 정밀함의 정도를 예측불가 등에 대한 문제점을 제기할 수 있다. 따라서 본 연구는 5 명의 기존 연구자들이 언급한 퍼소나 특성을 기반으로 KJ 법을 활용해서 특성을 재분류 하였다. 그리고 각 분류별 세부항목을 Pruitt 와 Adlin 의 '퍼소나 특성의 종류와 빈도'와 Brown 의 '특성 정보 양에 따른 세 가지 층'에 기반한 정밀성, 중요성, 신속성을 기준으로 분류하였다. 최종적으로 퍼소나 실무 관련 전문가의 평가를 거쳐 퍼소나를 생성하는 단계에서의 효율적인 특성 구축을 위한 $6{\times}6{\times}3$ 프레임웍을 제안하였다.

• Journal of Intelligence and Information Systems
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• v.2 no.1
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• pp.75-91
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• 1996

제철소에서의 원료 운송 작업은, 선박에 선적된 원료를 하역하여 야드에 적치한 후, 제반 원료 소요공장까지의 벨트 컨베이어를 통한 원료 수송 작업을 의미한다. 본 연구에서는 원료 운송과 관련한 선박 접안, 원료 하역 및 벨트 컨베이어 수송 일정 계획을 효과적으로 수립하기 위하여 이단계 계획적 구조를 이용한 일정계획 휴리스틱을 개발하고 이를 구현하기 위한 전문가 시스템을 개발하였다. 이단계 계층적 구조는 상위 단계의 Scheduler 와 하위 단계의 복수개의 Dispatcher 로 구성되어 있다. 하위 단계의 Dispatcher는 주어진 제약조건하에서 단위 문제를 해결하고 이를 상위 단계의 Scheduler에게 보고하게 된다. 상위 단계의 Scheduler 는 전체적인 문제 해결의 우선 순위 결정 및 Dispatcher 간의 상층을 해결하는 역할을 맡게 된다. 이러한 계층적 구조를 이용한 분산처리를 통해 문제의 복잡성을 줄이고, 시스템 설계의 모듈화 및 유연성있는 시스템 구축이 가능하게 되었다. 본 시스템은 실시간 전문가 시스템 도구인 G2를 이용하여 SUN Workstation에서 개발되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.753-756
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• 2004

유비쿼터스 컴퓨팅 환경에서 추천시스템은 무수히 많은 정보들에 대하여 사람들이 적절한 선택을 할 수 있도록 도와준다. 사용자에게 필요한 정보를 찾아주고, 정보들의 우선순위를 결정해주는 추천시스템에 있어서 사용자의 위치는 보다 가치있는 정보를 제공할 수 있는 도구가 된다. 위치기반 추천시스템은 사용자가 아이템들로부터 얼마나 멀리 떨어져있는가를 고려하여 상위 리스트들을 제공할 수 있어야 한다. 하지만 일반적인 추천시스템에서 주로 사용되고 있는 기존의 사용자 기반 협업필터링 기법은 사용자의 자발적인 정보 입력에 의존함으로써 일정한 수의 사용자 정보가 축적되어 있지 않으면 정확한 추천이 불가능한 단점이 있다. 본 논문에서는 아이템에 기반한 협업 필터링 기법을 확률적으로 분석하고, 아이템의 위치에따라 랭킹을 부여하는 방법과 사용자의 위치정보를 추천알고리즘에 적용시켜 보다 정확하고 효율적인 추천방법을 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.282-285
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• 2009

대부분의 스카이라인 질의에 대한 연구는 완전한 데이터에 관하여 이루어지고 있다. 하지만, 우리가 웹이나 기타 다른 도구로 데이터베이스에 자료를 입력할 때는 null을 허용하는 부분이 존재한다. 현재 이런 불완전한 데이터를 처리하기 위한 많은 연구가 이루어지고 있다. 본 논문에서는 이러한 문제를 해결하기 위하여 기존에 제안되었던 불완전한 데이터를 처리하는 기법과 차원의 저주를 해결하기 위한 기법을 고려하여 이를 바탕으로 완전한 데이터와 동등하거나 혹은 더 좋을지도 모르는 데이터를 우선순위가 높은 순서대로 k(g)개 검색해주는 스카이라인 그룹 질의를 도입하고 이를 처리하는 방법을 제안한다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.9
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• pp.1388-1398
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• 2015

Quality Function Deployment (QFD) is the most complete and comprehensive method for translating what customers need from a product. This study utilized QFD to develop sauces made from Gochujang and to determine how to fulfill international customers' requirements. A customer survey and expert opinion survey were conducted from May 13 to August 22, 2014 and targeted 220 consumers and 20 experts in the U.S. and China. Finally, a total of 208 (190 consumers and 18 experts) useable data were selected. The top three customer requirements for Gochujang sauces were identified as fresh flavor (4.40), making better flavor (3.99), and cooking availability (3.90). Thirty-three engineering characteristics were developed. The results from the calculation of relative importance of engineering characteristics identified that 'cooking availability', 'free sample and food testing', 'unique concept', and 'development of brand' were the highest. The relative importance of engineering characteristics, correlation, and technical difficulties are ranked, and this result could contribute to the development Korean sauces based on customer needs and engineering characteristics.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.175-181
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• 2018

The purpose of this study is to explore the educational needs of learning supporting program on the students' perception of current competencies and important competencies. The data was collected by using the online type (e-mail survey) and the offline type (printed survey) with survey instrument developed by researcher. Survey instrument was composed of 3 categories and 10 competencies. Collected data was analyzed using the SPSS 21.0 for Windows statistical package. And 159 cases were analyzed finally. The paired t-test was conducted to analyze the difference between importance-performance of students' competencies. The educational needs of learning supporting program were calculated by using the Borich's formula. The findings were as follows: The first, 3 categories and 10 competencies were significant difference exists statistically. The second, The high ranks of the educational needs of learning supporting program were 'Major field knowledge', followed by 'Creativity', 'Problem solving ability', 'Global capability', 'Technology capability' in sequence. The results of this study reflected the authentic needs of students will be used a basic data to establish the curriculum for learning supporting program.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.2
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• pp.120-130
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• 2023

This study aims to develop a Park Performance Assessment Tool (PPAT) to qualitatively evaluate the level of urban neighborhood park services. The Park Performance Assessment Tool (PPAT) development process is as follows. First, a pool of evaluation items was formed by analyzing domestic and foreign cases related to the Park Performance Evaluation Tool (PPAT). Second, evaluation items were refined considering domestic park conditions through expert advisory meetings and pilot evaluations. Third, the reliability of the Park Performance Evaluation Tool (PPAT) was verified through pilot evaluations. Fourth, weights for each evaluation item were derived through an expert survey and AHP analysis. Fifth, a Park Performance Evaluation Tool (PPAT) evaluation table and evaluation guidelines were prepared. The developed Park Performance Assessment Tool (PPAT) was applied to 22 neighborhood parks in Bupyeong-gu, Incheon to evaluate the quality of the physical environment. As a result of the evaluation, several urban neighborhood parks that need improved park services were identified. The Park Performance Evaluation Tool (PPAT) is expected to be used to establish a basic plan for parks and green spaces, select priority and project promotion methods for park maintenance projects, and certify excellent parks

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.383-398
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• 2016

The objective of this research is to depict examples of how a company could derive the skillset areas with the highest priority when analyzing the skill set requirements of human resources, based on the skillset requirements that are unique to each work site. For this purpose, a survey was conducted for each of the job categories for new employee in A company. The analysis results showed that in 32 out of the 34 areas, the gaps between the current levels and the expected levels were statistically significant. For employees of company A, the following 7 areas were determined to be the key job competencies with the highest priority: document creation skills, diagram creation skills, thinking skills, problem solving skills, time management skills, technology comprehension ability, and task comprehension skills. The required job competencies with the highest priority were found to be different for each job category. As a result of this research, the priority rankings of skillset requirements for each job category in company A could be determined, along with the implications for HRD/HRM and other companies.

• Journal of KIISE:Software and Applications
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• v.33 no.1
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• pp.58-68
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• 2006

Requirements are very important to model software architecture. Requirements are divided into functional and quality requirements. Functional requirements are pinpointed subsystems and components. Quality requirements affect the structure of architecture. Thus requirements are essential to understand clearly in order to design software architecture. This paper focuses on a quantitative approach to requirements analysis for modeling architectures. In our proposal, functional requirements are quantified through calculating each priority of components. Quality requirements are quantified through calculating the correlation degree between components and quality attributes. The proposed method is implemented by DRAMA (Domain Requirements Analysis for Modeling Architectures), which fully supports our approach and are developed in Java environments. Our proposal is validated to apply some industrial examples.