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다중 채널 ATM Adaptation Layer2 Switch
이정훈,이성창 한국항공대학교 1999 論文集 Vol.37 No.-
데이터, 음성, 영상등에 대한 다양한 종류의 서비스들이 요구되어지면서 ATM기술은 중요한 역할을 하게 될 것이다. 그러나 기존의 AAL type들로는 저속의 짧은 가변길이를 packet을 사용하는 서비스를 지원하기는 문제점이 있었다. 이러한 문제의 해결을 위해 AAL Type 2는 저속이면서 짧고 가변의 길이를 가지는 패킷들을 사용하며 지연에는 민감한 특성을 가지는 응용들을 지원하기 위해 만들어졌다. 본 논문은 AAL type 2의 서비스를 지원하는데 있어 ATM 망에서 AAL type 2 ATM cell들을 switching 하기 위한 AAL 2 Switch의 구조를 제안하고 설계하였다. 또한 제안한 AAL2 Switch를 computer simulation에 의해 성능분석을 해 보았다.
Choi, Sungchang,Lee, Cheul Ho,Park, Woodong,Kim, Dae-Jung,Sohn, Young Chang Zoological Society of Japan 2010 Zoological science Vol.27 No.1
<P>Reproductive activities of salmonids are synchronized by changes in photoperiod, which control the endocrine system via the brain-pituitary-gonadal axis. Gonadotropin-releasing hormone (GnRH) in the brain regulates synthesis and release of the pituitary gonadotropins (GTHs; FSH and LH). FSH and LH in turn stimulate the production of sex steroids for oocyte growth and maturation-Inducing steroid hormones for oocyte maturation and ovulation, respectively, in female salmonids. To clarify effects of long-term photoperiod manipulations on the reproductive activity of salmonids from early recrudescence to ovulation, we Investigated the gene expression profiles of GnRH, GTHs, and vitellogenin (VTG), and plasma sex steroids in female rainbow trout (Oncorhynchus mykiss). In addition, the percentages of eyed embryos and hatched alevins were examined together with the number of ovulated eggs to evaluate the effects of photoperiod regimes on egg quality. During late summer, the mRNA levels of GnRHs, GTHalpha, and LHbeta, and the plasma level of a maturational steroid (17alpha,20beta-dihydroxy-4-pregnen-3-one; 17,20beta-P) were significantly elevated by a gradually shortened photoperiod under constant temperature, in accordance with accelerated sexual maturation. The percentages of eyed embryos and hatched alevins from fish ovulated in August were comparable to those of control fish observed in December. These results clearly indicate that syntheses of GnRHs, LH, VTG, and 17,20beta-P are effectively accelerated by a programmed long-short photoperiod regime in early recrudescent female rainbow trout, without a marked deterioration in egg quality.</P>
이용현(YoungHyun Lee),최경진(KyungJin Choi),배성창(SungChang Bae) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1
In this paper, the cutting qualities by laser dicing and fracture strength of a silicon die is investigated. Laser micromachining is the non-contact process using thermal ablation and evaporation mechanisms. By these mechanisms, debris is generated and stick on the surface of wafer, which is the problem to apply laser dicing to semiconductor manufacture process. Unlike mechanical sawing using diamond blade, chipping on the surface and crack on the back side of wafer isn't made by laser dicing. Die strength by laser dicing is measured via the three-point bend test and is compared with the die strength by mechanical sawing. As a results, die strength by laser dicing shows a decrease of 50% in compared with die strength by mechanical sawing.
Community clustering based on trust modeling weighted by user interests in online social networks
Ullah, Farman,Lee, Sungchang Elsevier 2017 Chaos, solitons, and fractals Vol.103 No.-
<P><B>Abstract</B></P> <P>Online social networking websites provide platforms through which users can express opinions and preferences on a multitude of items and topics, and follow users and information, and flood it by retweeting. User-user interests vary, and based on the users’ interests, they can be grouped to multiple implicit interest communities. However, every interaction and user may not be trustworthy. Capturing the user's interaction with others, and predicting user interest and trust from the interactions are important parts of social media analytics. In this paper, we propose community clustering for implicit community detection based on trust and interest modeling. The trust modeling is weighted by the user's interests to group the users in multiple clusters having higher interest and trust similarity within a cluster. The proposed community clustering algorithm begins by ranking the nodes by the weighted degree and then selecting the initial community centers that are not in the neighbors of each other's. We then assign the user to the community with whom the user has the higher interest and trust similarity and higher common connections topology. We provide a probabilistic trust model to predict the unknown reliable trust between users considering their friends. We model user interests based on preferences and opinions, as well as the content experienced in social media. Furthermore, we evaluate the proposed algorithm comparing publicly available datasets with well-known algorithms for clustering quality.</P>