• 유변학
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• 제11권2호
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• pp.153-158
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• 1999

가스사출시 두개이상의 가스흐름가능방향이 존재 할 때 가스는 선택적인 방향으로 흐르게는데 여기에서는 이 가스흐름 방향을 예측하는 방법을 제시하였다. 지금까지는 가스흐름방향은 가스의 하류에 있는 수지의 저항값, 즉 압력손실필요량을 비교하여 예측되어 왔는데 이방법은 대부분의 경우에 정확한 예측력을 가지고 있었다. 그러나 수지의 저항값 또는 압력손실필요량을 비교하는 방법이 실제에는 경우에따라 맞지 아니하였다. 이 연구에서는 수지속도비교가 압력손실필요량비교 보다 한단계위의 판단기준(criterion)이 되는 것을 설명하고 그예를 들어 증명 하고 있다. 압력손실필요량비교 대신 수지속도비교방법을 쓰면 예외없이 모든 경우 정확하게 가스흐름방향을 예측을 할수 있다.

• 유통과학연구
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• 제16권9호
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• pp.65-77
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• 2018

Purpose - A trading area is very closely related to consumer life. A trading area is a cultural and social space that consumes culture and promotes human relationships as well as an economic space where consumers live their daily lives. In this context, a trading area research should be conducted objectively and empirically because it deals with the activities of consumer's life. The purpose of this study is to identify the intrinsic psychological motivation(push motivation) caused when consumers visit a trading area and to demonstrate how the push motivation for a trading area influence on consumer's flow, satisfaction, revisit intention. Research design, data, and methodology - In order to develop research hypotheses for this study, the development procedures for push motivation scale are as follows; (1) generating initial pool of items based on previous studies, (2) expert judgement to evaluate content and face validity, and (3) assessing convergent and discriminant validity using confirmatory factor analysis. In order to achieve these purposes, online surveys were conducted on frequent or familiar visitors to the trading areas around the Gangnam, Kunkuk University and Hongik University Station. Among the 1,343 questionnaires collected, 1,157 cases were analyzed by using SPSS 22.0 and SmartPLS 3.0 statistical package program, except for 186 responses in which responses were judged to be unfaithful. Results - The push motivation was classified into five sub-dimensions of excitement/stimulus, rest/relaxation, exit/refreshing, knowledge/learning and human relationship promotion as multidimensional and complex factors composed of individual and social-related dimensions. The excitement/stimulus and human relationship promotion of push motivation have positive effects on satisfaction. However, all dimensions of the push motivation have positive effects on flow. And flow has a positive effect on satisfaction and revisit intention. Meanwhile, the mediation test using boostrapping shows that flow plays a full mediating role in the relationship between rest/relaxation, exit/refreshing, knowledge/learning and satisfaction, but a partial mediating rol e between excitement/stimulus, human relationship promotion and satisfaction. Finally, satisfaction plays a partial mediating role between flow and revisit intention. Conclusions - This study shows that the push motivation is multidimensional and compositive depending on the situation of a consumer. In addition, it is found that the human relationship promotion(a social-related motivation) has a much more important effect on flow and satisfaction than other push motivations of individual dimensions. It also shows that satisfaction increases when consumers are being flowed at their visit and degree of revisit intention also grows as satisfaction increases. As implications of this study, a marketer should try to understand consumer's visit motivation at first and then develop factors that increase their flow, satisfaction, revisit intention. It also requires a marketer to approach subjects on a trading area more objectively and empirically based on the psychology and behavior of consumers, in order to establish a proper and efficient strategy on development of a trading area.

• 충청수학회지
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• 제21권3호
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• pp.403-411
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• 2008

In 2005, A. Saxena, B. Soh and S. Priymak [10] proposed a two-flow blind identification protocol. But it has a weakness of the active-intruder attack and uses the pairing operation that causes slow implementation in smart cards. In 2008, Y. W. Lee [9] made a method of the active-intruder attack on their identification scheme and proposed a new zero-knowledge blind identification protocol for smart cards. In this paper, we give more simple and fast protocols than above protocols such that the prover using computationally limited devices such as smart cards has no need of computing the bilinear pairings. Computing the bilinear pairings is needed only for the verifier and is secure assuming the hardness of the Discrete-Logarithm Problem (DLP).

• Journal of Electrical Engineering and Technology
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• 제3권3호
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• pp.363-372
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• 2008

In this paper, knowledge-based approach using Support Vector Machines (SVMs) are used for estimating the coordinated zonal settings of a distance relay. The approach depends on the detailed simulation studies of apparent impedance loci as seen by distance relay during disturbance, considering various operating conditions including fault resistance. In a distance relay, the impedance loci given at the relay location is obtained from extensive transient stability studies. SVMs are used as a pattern classifier for obtaining distance relay co-ordination. The scheme utilizes the apparent impedance values observed during a fault as inputs. An improved performance with the use of SVMs, keeping the reach when faced with different fault conditions as well as system power flow changes, are illustrated with an equivalent 265 bus system of a practical Indian Western Grid.

• 기술혁신학회지
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• 제8권spc1호
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• pp.337-359
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• 2005

This paper is to analyze the current status and interdependence of knowledge regarding innovation related research in Korea, based on the four academic journals such as Journal of Korea Technology Innovation Society, Journal of Technology Innovation, The Korean Venture Management Review, and Research Policy. The major contributions of this research are as follows: First, we tried to see the general picture of the innovation research community by extending the boundary of analysis, not limiting to a specific journal. Second, instead of subjective and qualitative analysis relying on an expert review, we quantitatively analyzed various basic statistics on innovation area and confirmed that there exist differences for using key words across the journals. Third, we derived a set of influential papers in terms of the authoritative and hub indexes employing link analysis techniques. Finally we provided some recommendations for facilitating knowledge creation activities of academic journals in this area.

• 제어로봇시스템학회논문지
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• 제4권5호
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• pp.651-657
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• 1998

In this study, an intelligent scheduling with hybrid architecture, which integrates expert system and neural network, is proposed. Neural network is trained with the data acquired from simulation model of FMC to obtain the knowledge about the relationship between the state of the FMC and its best dispatching rule. Expert system controls the scheduling of FMC by integrating the output of neural network, the states of FMS, and user input. By applying the hybrid system to a scheduling problem, the human knowledge on scheduling and the generation of non-logical knowledge by machine teaming, can be processed in one scheduler. The computer simulation shows that comparing with MST(Minimum Slack Time), there is a little increment in tardness, 5% growth in flow time. And at breakdown, tardness is not increased by expert system comparing with EDD(Earliest Due Date).

• 한국정밀공학회지
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• 제16권10호
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• pp.217-224
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• 1999

Trouble shooting of modern machine tools equipped with sophisticated electronic as well as mechanical parts is so difficult that it is usually depends upon the experience and accumulated knowledge of the diagnosing persons. On the other hand, tool users are scattered in wide area, which makes it expensive for a machine tool maker to run a vast service network. An unmanned diagnosis system to which users can have access at all times could be an efficient alternative. For this purpose, a rule-based expert system for diagnosing machine tools is developed. This paper describes the structure of diagnostic knowledge, the rule firing mechanism, the diagnosis flow, and user query process. An example shows the feasibility of problem solving on site without help of a service expert from machine tool maker.

• 마이크로전자및패키징학회지
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• 제8권3호
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• pp.11-17
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• 2001

The design and manufacture of injection molded polymeric parts with desired properties is a costly process dominated by empiricism, including the repeated modification of actual tooling. This paper presents an expert design evaluation system which can predict the mechanical performance of a molded product and diagnose the design before the actual mold is machined. The knowledge-based system synergistically combines a rule-based expert system with CAE programs. Heuristic knowledge of injection molding is formalized as rules of an expert consultation system. The expert system interprets the analytical results of the process simulation, predicts the performance, evaluates the design and generates recommendations for optimal design alternatives.

• 복식문화연구
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• 제24권6호
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• pp.709-724
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• 2016

The purpose of this study is to develop a multi-dimensional scale measuring consumers' perceived challenge in shopping fashion products online, and to verify its validity and reliability. Relevant literature is first reviewed to identify possible dimensions of perceived challenge. Next, Study 1 is conducted in order to explore the dimensions empirically and to see whether the dimensions that emerged were consistent with prior findings. A total of 190 responses to an open-ended question was qualitatively analyzed by using content analysis. The findings of Study 1 generate 26 items reflecting four dimensions (i.e., product knowledge, previous experience, website functionality, and product availability), which correspond to the dimensions suggested in literature review. Study 2 is subsequently conducted to refine the items so that the perceived challenge scale establishes cross-validation, convergent validity, discriminant validity, reliability, and predictive validity. A total of 238 responses is quantitatively analyzed by using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. In the results of Study 2, the perceived challenge scale is found to consist of a total of 16 items reflecting three dimensions: E-commerce Challenge (corresponding to Previous Experience reported in Study 1), Retailer Challenge (corresponding to Website Functionality), and Product Challenge (corresponding to Product Knowledge); all Product Availability items have been eliminated through the item refinement process. Specifically, E-commerce Challenge and Retailer Challenge are found to predict flow, supporting flow theory, while Product Challenge fails to lead to flow significantly. Implications, limitations, and suggestions for future studies are also discussed.

• 지식경영연구
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• 제23권2호
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• pp.99-122
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• 2022

코로나 팬데믹으로 인한 사회적 거리두기가 장기화되면서 대중들은 원격 연결 서비스에 익숙해졌으며, 나아가 대면활동을 대체할만한 온라인 플랫폼을 요구하고 있다. 또한 가상융합기술(XR)의 고도화, MZ세대의 성장은 메타버스 서비스를 급속히 확장시키고 있다. 하지만, 메타버스에 관한 기존 연구들은 기본 개념 및 유형분류에 초점이 맞추어져 있거나 세부기술 및 사례에 관한 연구가 대부분이며, 메타버스 서비스의 구전의도에 관한 연구는 부족한 실정이다. 이에 본 연구에서는 만족과 플로우(Flow)를 중심으로 메타버스 서비스의 구전의도에 영향을 미치는 요인에 관한 실증분석을 실시하였다. 분석결과 즐거움, 도전감, 원격실재감은 플로우에 정(+)의 영향을 미치는 것으로 나타났고, 플로우는 만족과 구전의도에 정(+)의 영향을 미치는 것으로 나타났으며, 만족은 구전의도에 정(+)의 영향을 미치는 것으로 나타났다. 이러한 연구결과는 메타버스 서비스에 관한 학술적 시사점과 서비스의 확장을 위한 실무적 시사점을 제공할 수 있을 것으로 기대한다.