• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.40-42
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• 2022

People's focus steadily shifted toward fashion as a popular aesthetic expression as their quality of life improved. Humans are inevitably drawn to things that are more aesthetically appealing. This human proclivity has resulted in the evolution of the fashion industry over time. However, too many clothing alternatives on e-commerce platforms have created additional obstacles for clients in recognizing their suitable outfit. Thus, in this paper, we proposed a personalized Fashion Recommender system that generates recommendations for the user based on their previous purchases and history. Our model aims to generate recommendations using an image of a product given as input by the user because many times people find something that they are interested in and tend to look for products that are like that. In the system, we first reduce data dimensionality by component analysis to avoid the curse of dimensionality, and then the final suggestion is generated by neural network. To create the final suggestions, we have employed neural networks to evaluate photos from the H&M dataset and a nearest neighbor backed recommender.

• 풍력에너지저널
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• 제3권2호
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• pp.11-17
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• 2012

An offshore(submarine) cable has been used for more than a century, however it has been used mainly for communication or power supply to near-shore island. Therefore, offshore cable has not been got more attention than other types of cable and the related standards have also not been established well. However wind farms have been shifting from land to offshore because of better wind condition. Consequently, it has been pushing up demand for offshore cable. Hence, this paper introduces the trend of offshore cable industry and related standards or recommendations only focusing on offshore wind farm. In details, the installed offshore cables in offshore wind farms, the main offshore cable makers and up to date technologies are covered. In addition, the related standards or recommendations are also analyzed and compared each other.

• Journal of Information Processing Systems
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• 제19권5호
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• pp.576-589
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• 2023

To upgrade home style recommendations and user satisfaction, this paper proposes a personalized and optimized recommendation algorithm for interior design style based on local social network, which includes data acquisition by three-dimensional (3D) model, home-style feature definition, and style association mining. Through the analysis of user behaviors, the user interest model is established accordingly. Combined with the location-based social network of association rule mining algorithm, the association analysis of the 3D model dataset of interior design style is carried out, so as to get relevant home-style recommendations. The experimental results show that the proposed algorithm can complete effective analysis of 3D interior home style with the recommendation accuracy of 82% and the recommendation time of 1.1 minutes, which indicates excellent application effect.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제27권1호
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• pp.1-14
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• 2024

Probiotics are live microorganisms that confer health benefits to the host when administered in adequate amounts. Although recommendations for probiotic use should be strain-specific, many systematic reviews, including recommendations from different societies, recommend probiotic use in general, providing no relevant information for healthcare professionals regarding which probiotic to recommend for which clinical indication, at what dose, and for how long. This narrative review aimed to present the available evidence on the use of probiotics in the prevention and treatment of common gastrointestinal diseases in children, considering the strain and dose used. Furthermore, this study summarizes the evidence on the possible side effects and quality of products containing probiotics.

• Asia pacific journal of information systems
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• 제31권3호
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• pp.433-447
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• 2021

The purpose of this paper is to shed light on the current status of Industry 4.0 policies in India and provide holistic policy recommendations in the transition towards Industry 4.0. The study was conducted based on the content-centric review of written policy documents like policy memoranda (memos), green papers and white papers, policy briefs, policy reports, opinion pieces, and newspaper and academic publications on Industry 4.0. India lacks infrastructure, regulatory framework, architectural reference model, incentives, skills, and standard roadmap towards Industry 4.0. The current policy status and policy recommendations presented in this study can serve as a great asset for academicians, policymakers, and practitioners to prepare a holistic roadmap for Industry 4.0 policy implementation. The study is first to assess India's current policy status and compare with Germany towards Industry 4.0. Besides, it is expected to assist government policymakers in formulating tangible policy outputs and strategic roadmaps.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2002년도 기초기술위원회 워크샵
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• pp.209-236
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• 2002

Ultimate pile capacity - Point resistance - Frictional resistance - Determination of point and frictional resistances from field tests - Summary of recommendations from design Group effects Settlement analysis.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2002년도 기초기술위원회 워크샵
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• pp.188-208
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• 2002

• 경영정보학연구
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• 제1권1호
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• pp.137-163
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• 1999

• Journal of Nutrition and Health
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• 제28권3호
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• pp.217-228
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• 1995

• 교통기술과정책
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• 제8권5호
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• pp.27-32
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• 2011