B
Bong-Jin Yum
Researcher at KAIST
Publications - 63
Citations - 1525
Bong-Jin Yum is an academic researcher from KAIST. The author has contributed to research in topics: Taguchi methods & Observational error. The author has an hindex of 20, co-authored 62 publications receiving 1373 citations.
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Journal ArticleDOI
Optimal design of accelerated degradation tests based on Wiener process models
Heonsang Lim,Bong-Jin Yum +1 more
TL;DR: In this article, optimal accelerated degradation test (ADT) plans are developed assuming that the constant-stress loading method is employed and the degradation characteristic follows a Wiener process, and the test stress levels and the proportion of test units allocated to each stress level such that the asymptotic variance of the maximum-likelihood estimator of the qth quantile of the lifetime distribution at the use condition is minimized.
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A bibliography of the literature on process capability indices: 2000–2009
Bong-Jin Yum,Kwan-Woo Kim +1 more
TL;DR: This paper contains a bibliography of approximately 530 journal papers and books on process capability indices for the period 2000–2009, and special applications include acceptance sampling plans, supplier selection, and tolerance design and other optimizations.
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Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites
TL;DR: The proposed CF (collaborative filtering)-based recommender system is versatile and can be applied to a variety of e-commerce sites as long as the navigational and behavioral patterns of customers can be captured.
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Collaborative filtering based on iterative principal component analysis
Dohyun Kim,Bong-Jin Yum +1 more
TL;DR: Developed in this article is an iterative PCA approach in which no gauge set is required, and singular value decomposition is employed for estimating missing ratings and dimensionality reduction, and principal component values for users in reduced dimension are used for clustering users.
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A heuristic method for solving redundancy optimization problems in complex systems
Jae-Hwan Kim,Bong-Jin Yum +1 more
TL;DR: The authors present a heuristic method for solving constrained redundancy optimization problems in complex systems that allows excursions over a bounded infeasible region, which can alleviate the risks of being trapped at a local optimum.