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Institution

Pukyong National University

EducationBusan, South Korea
About: Pukyong National University is a education organization based out in Busan, South Korea. It is known for research contribution in the topics: Phosphor & Luminescence. The organization has 6689 authors who have published 14681 publications receiving 233751 citations. The organization is also known as: PKNU.


Papers
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Journal ArticleDOI
TL;DR: This paper presents a survey of machine condition monitoring and fault diagnosis using support vector machine (SVM), and attempts to summarize and review the recent research and developments of SVM in machine condition Monitoring and diagnosis.

1,228 citations

Journal ArticleDOI
TL;DR: An overview of biological activities and potential health benefits of SPs derived from marine algae, as well as potential products in nutraceutical, pharmaceutical and cosmeceutical areas are presented.

781 citations

Journal ArticleDOI
TL;DR: This review has summarized different enzymatic preparation methods of COS and some of their reported biological activities, such as antimicrobial, anticancer, antioxidant, and immunostimulant effects are depend on their physico-chemical properties.

763 citations

Journal ArticleDOI
TL;DR: Electrical and practical designs of the inverter, power lines, pickup, rectifier, and regulator as well as an optimized core structure design for a large air gap for electromotive force shielding for the electric vehicle are described.
Abstract: In this paper, the design and implementation of a wireless power transfer system for moving electric vehicles along with an example of an online electric vehicle system are presented. Electric vehicles are charged on roadway by wireless power transfer technology. Electrical and practical designs of the inverter, power lines, pickup, rectifier, and regulator as well as an optimized core structure design for a large air gap are described. Also, electromotive force shielding for the electric vehicle is suggested. The overall system was implemented and tested. The experimental results showed that 100-kW power with 80% power transfer efficiency under 26-cm air gap was acquired.

725 citations

Journal ArticleDOI
TL;DR: There is much room for performance improvement in the log buffer block scheme, and an enhanced log block buffer scheme, called FAST (full associative sector translation), is proposed, which improves the space utilization of log blocks using fully-associative sector translations for the log block sectors.
Abstract: Flash memory is being rapidly deployed as data storage for mobile devices such as PDAs, MP3 players, mobile phones, and digital cameras, mainly because of its low electronic power, nonvolatile storage, high performance, physical stability, and portability. One disadvantage of flash memory is that prewritten data cannot be dynamically overwritten. Before overwriting prewritten data, a time-consuming erase operation on the used blocks must precede, which significantly degrades the overall write performance of flash memory. In order to solve this “erase-before-write” problem, the flash memory controller can be integrated with a software module, called “flash translation layer (FTL).” Among many FTL schemes available, the log block buffer scheme is considered to be optimum. With this scheme, a small number of log blocks, a kind of write buffer, can improve the performance of write operations by reducing the number of erase operations. However, this scheme can suffer from low space utilization of log blocks. In this paper, we show that there is much room for performance improvement in the log buffer block scheme, and propose an enhanced log block buffer scheme, called FAST (full associative sector translation). Our FAST scheme improves the space utilization of log blocks using fully-associative sector translations for the log block sectors. We also show empirically that our FAST scheme outperforms the pure log block buffer scheme.

682 citations


Authors

Showing all 6752 results

NameH-indexPapersCitations
Junghwan Oh391934584
Felicity A. Roddick391335176
Young Hwan Park391135235
Hai Guo391264380
Un Ju Jung39985696
Kang-Jun Baeg381146195
Eun Mi Park381864726
Kyoung-Ho Kim381895561
Il-Whan Choi382035078
Pyo-Jam Park381767130
Byung Kee Moon372414323
Jee H. Jung372405297
Wan-Young Chung372764935
Silas S.O. Hung371053872
Xiaoli Zhang371974351
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202348
2022116
2021942
2020876
2019927
2018875