scispace - formally typeset

Institution

Pukyong National University

EducationBusan, South Korea
About: Pukyong National University is a(n) education organization based out in Busan, South Korea. It is known for research contribution in the topic(s): Phosphor & Photoluminescence. The organization has 6689 authors who have published 14681 publication(s) receiving 233751 citation(s). The organization is also known as: PKNU.
Papers
More filters

Journal ArticleDOI
Achmad Widodo1, Bo-Suk Yang1Institutions (1)
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.
Abstract: Recently, the issue of machine condition monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. This paper presents a survey of machine condition monitoring and fault diagnosis using support vector machine (SVM). It attempts to summarize and review the recent research and developments of SVM in machine condition monitoring and diagnosis. Numerous methods have been developed based on intelligent systems such as artificial neural network, fuzzy expert system, condition-based reasoning, random forest, etc. However, the use of SVM for machine condition monitoring and fault diagnosis is still rare. SVM has excellent performance in generalization so it can produce high accuracy in classification for machine condition monitoring and diagnosis. Until 2006, the use of SVM in machine condition monitoring and fault diagnosis is tending to develop towards expertise orientation and problem-oriented domain. Finally, the ability to continually change and obtain a novel idea for machine condition monitoring and fault diagnosis using SVM will be future works.

981 citations


Journal ArticleDOI
Se-Kwon Kim1, Niranjan Rajapakse1Institutions (1)
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.
Abstract: Many researchers have focused chitosan as a source of potential bioactive material during past few decades. However, chitosan has several drawbacks to be utilized in biological applications, including poor solubility under physiological conditions. Therefore, a new interest has recently been emerged on partially hydrolyzed chitosan, chitosan oligosaccharides (COS). During the resent past, several technological approaches have been taken to prepare COS and, enzymatic preparation methods captured a great interest due to safe and non-toxic concerns. With time, new improvements were introduced to enzymatic production and presently it has been developed to a continuous production process. Many of the biological activities reported for COS, such as antimicrobial, anticancer, antioxidant, and immunostimulant effects are depend on their physico-chemical properties. In this review, we have summarized different enzymatic preparation methods of COS and some of their reported biological activities.

687 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.
Abstract: Recently, a great deal of interest has been developed to isolate novel bioactive compounds from marine resources because of their numerous health beneficial effects. Among marine resources, marine algae are valuable sources of structurally diverse bioactive compounds. The cell walls of marine algae are rich in sulfated polysaccharides (SPs) such as fucoidans in brown algae, carrageenans in red algae and ulvans in green algae. These SPs exhibit many beneficial biological activities such as anticoagulant, antiviral, antioxidative, anticancer and immunomodulating activities. Therefore, marine algae derived SPs have great potential for further development as products in nutraceutical, pharmaceutical and cosmeceutical areas. This contribution presents an overview of biological activities and potential health benefits of SPs derived from marine algae.

682 citations


Journal ArticleDOI
Sang-Won Lee1, Dong-Joo Park2, Tae-Sun Chung3, Dong-Ho Lee4  +2 moreInstitutions (5)
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.

666 citations


Journal ArticleDOI
You-Jin Jeon1, Pyo-Jam Park1, Se-Kwon Kim1Institutions (1)
Abstract: The antibacterial effect of three kinds of chitooligosaccharides with relatively higher molecular weights (HMWCOS), medium molecular weight (MMWCOS), and lower molecular weight (LMWCOS), respectively, was evaluated against various microorganisms. The oligosaccharides were prepared from chitosan and fractionated using ultrafiltration (UF) membrane in conjunction with an enzymatic bioreactor. The growth of most bacteria tested was inhibited by chitooligosaccharide treatments, in particular by HMWCOS, although chitosan treatment showed a better inhibitory effect. From the results here, the molecular weight of chitooligosaccharides is critical for microorganism inhibition and required higher than 10,000 Da. Generally, the chitooligosaccharides have more effective activity against pathogens than non-pathogens, except in the case of lactic acid bacteria.

595 citations


Authors

Showing all 6689 results

NameH-indexPapersCitations
Se-Kwon Kim10276339344
Rangasamy Jayakumar7428921042
Hae Young Chung7252921126
You-Jin Jeon7057320967
Chin-Pao Huang6930717355
Wan Mohd Ashri Wan Daud6829018767
Ho Won Jang6449315645
Sang Yeol Lee6125812344
Shuang Wang6098317802
Alan J. Lough6066614689
Jae Sue Choi5944313677
Sher Bahadar Khan5940510507
Ho Nam Chang5630811890
Dae Sung Lee5640310361
Yoon-Bo Shim5529810080
Network Information
Related Institutions (5)
Kyungpook National University

42.1K papers, 834.6K citations

92% related

Pusan National University

45K papers, 819.3K citations

91% related

Seoul National University

138.7K papers, 3.7M citations

90% related

Hanyang University

58.8K papers, 1.1M citations

90% related

Pohang University of Science and Technology

35.9K papers, 1M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202237
2021941
2020875
2019927
2018875
2017862