• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.503-508
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• 2002

최근 제조물 책임(Product Liability) 법의 영향으로 제품 안전(product safety)에 대한 관심이 높아지고 있다. 따라서, 그 동안 시스템 안전 분야에서 성숙되어온 여러 가지 안전성 분석 기법들이 실생활에 직접 연관된 제품 안전 문제에 적용될 수 있을 것으로 기대된다. 대부분의 안전성 분석 기법들이 제품 안전을 다를 수 있는 가능성을 가지고 있지만, 응용분야의 특성상 여러 가지 추가적인 고려사항이 있음을 알 수 있다. 본 논문은 제품 안전에 적용하기 위하여 기존의 안전성 분석 기법들을 검토하였다. 특히, 제품안전의 실무에 시급한 기법을 선정하여, 제품안전의 실무를 효과적으로 지원하기 위한 예로 FMEA의 개선방향을 제시하였다. 제조물 책임 개념이 단순히 소송이나 보험과 같은 사후 대응 중심의 노력으로 소모되지 않고, 제품의 경쟁력 향상으로 실효를 거두기 위해서는, 무엇보다 제품 안전을 위한 실무 방법론들이 시급하게 제시되어야할 것이다.(중략)

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• Communications for Statistical Applications and Methods
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• v.30 no.2
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• pp.191-213
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• 2023

Unit distributions are frequently used in probability theory and statistics to depict meaningful variables having values between zero and one. Using convenient transformation, the unit inverse exponentiated weibull (UIEW) distribution, which is equally useful for modelling data on the unit interval, is proposed in this study. Quantile function, moments, incomplete moments, uncertainty measures, stochastic ordering, and stress-strength reliability are among the statistical properties provided for this distribution. To estimate the parameters associated to the recommended distribution, well-known estimation techniques including maximum likelihood, maximum product of spacings, least squares, weighted least squares, Cramer von Mises, Anderson-Darling, and Bayesian are utilised. Using simulated data, we compare how well the various estimators perform. According to the simulated outputs, the maximum product of spacing estimates has lower values of accuracy measures than alternative estimates in majority of situations. For two real datasets, the proposed model outperforms the beta, Kumaraswamy, unit Gompartz, unit Lomax and complementary unit weibull distributions based on various comparative indicators.

• Natural Product Sciences
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• v.17 no.1
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• pp.1-4
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• 2011

Chemical investigations of the stony coral Alveopora japonica Eguchi (Poritidae) resulted in the isolation of four known compounds (1 - 4). The structures of 1 - 4 were identified as a sterol, ergosta-5,24(28)-dien-$3{\beta}$-ol (1), a mixture of monoacyl glycrols (2), eicosanoic acid and tetracosanoic acid, and two nucleosides, thymine (3) and 2'-deoxythymidine (4), respectively, on the basis of spectroscopic and physicochemical analyses including 1D- and 2D- NMR techniques as well as by comparison of their data with the published values. Compounds 1 - 4 were isolated from this species for the first time. Moreover, these compounds (1 - 4) were found in the genus Alveopora and the family Poritidae for the first time.

• Natural Product Sciences
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• v.15 no.4
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• pp.203-207
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• 2009

A homoisoflavanone, 7,4'-dihydroxyhomoisoflavanone (1) and a flavanone, (2S)-7,4'-dihydroxy-5-methoxyflavanone (2), were isolated from the rhizomes of Anemarrhena asphodeloides, together with 4,4'-dihydroxychalcon (3), 2'-O-methylphlorethin (4), 1,3-bis-di-p-hydroxyphenyl-4-penten-1-one (5), and 2,4'-dihydroxy-4-methoxybenzophenone (6) on the basis of spectroscopic and physicochemical analyses including 1Dand 2D- NMR techniques as well as by comparison of their data with the published values. Compounds 1 - 4 were isolated for the first time from this plant source. Among isolates, compound 2 exhibited moderate inhibitory effect on the differentiation of pre-adipocyte 3T3-L1 cells.

• Journal of Internet Computing and Services
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• v.6 no.4
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• pp.21-35
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• 2005

Software product-lines is the software development paradigm to attain the rapid development of quality applications by customizing the reconfigurable components and composing them based on predefined software architectures. Recently various methodologies for the component-based product lines are proposed, but these don't provide the specific implementation techniques of the components in terms of variability resolution mechanism. In other hand, the several approaches to implement the component supporting the variabilities resolution are developed, but these don't define the systematic analysis and design method considering the variabilities from the initial phase. This paper proposes the integration of PLUS, the one of product line methodologies extending UML modeling, and component code generation technique in order to increase the efficiency of producing the specific product in the software product lines. In this paper, the component has the hierarchical architecture consisting of the implementation elements, and each implementation elements are implemented as XSLT scripts. The codes of the components are generated from the feature selection. Using the microwave oven product lines as case study, the development process for the reconfigurable components supporting the automatic variability resolution is described.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• Food Science of Animal Resources
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• v.38 no.2
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• pp.224-239
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• 2018

In this study, the possible changes in the quality characteristics of pastirma, Turkish-type dry-cured meat product, produced by using two different salts (NaCl-KCl) in a curing mixture and two different production techniques (natural and controlled condition) were examined. Moisture, pH, salt, sodium, potassium, TBA, fat, water activity, instrumental colour, texture, and sensory analyses were implemented in order to determine the possible effects of these applications. Fat, aw, pH, colour, tiobarbituric acid (TBA), texture, salt, Na and K values may allow these desired modifications in pastirma production to be limited. The substitution of 15% KCl instead of NaCl was acceptable in terms of the sensorial properties of the pastirma. However, the sensory analyses did not allow for using a higher KCl instead of NaCl because both the hardness and chewiness in the texture of the pastirma samples salted with 30% of KCl were not scored positively. Besides this, negative effects, which may occur during the pastirma production under natural conditions, can be eliminated by the production being under controlled conditions.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.638-645
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• 2007

Computers are increasingly being introduced into safety and reliability critical systems. The safe and reliable operation of these systems cannot be taken for granted. Malfunctions of these systems can have potentially catastrophic consequences and they have already been involved in serious accidents. Software fault prevention, fault tolerance, fault removal and fault forecasting are the techniques to be used, implemented and verified for embedded software in critical systems as the contributors to safety and reliability of the software. To use them when developing a software product, a relationship must be established between them and the development processes, the methods and techniques to be used to develop software, as well as with the different product architectures. Railroad signaling system software is a safety-critical embedded software with realtime and high reliability requirements. The primary purpose of the safety management is to prevent the loss of lives or physical damages arising from potential hazards in the railroad signaling system. This study provides a systematic approach to analysis of potential hazards for their management during the system life cycle to assure the identification and definition of the most appropriate hazards.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.355-356
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• 2012

Recently, Digital clothing techniques using computer graphics to reappear clothes are activated in fashion area and Researches incorporating fashion flows and 3D techniques are frequently progressed. In fashion industry, Using smartphone can make successful result by catching a change of trend and adding an emotional factor. Conventional 3D fitting services are only provided in store or internet sites installed avatar system, virtual mirror. This study suggests a fashion fitting service system saving time and oneself by using I-phone in consumers' position. In this system, Companies can market their product easily to consumers, consumers can choose various product and check their fitness.