• Structural Engineering and Mechanics
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• v.27 no.6
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• pp.671-682
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• 2007

The probability and the reliability-based seismic performance evaluation procedure proposed in the FEMA-355F was applied to a reinforced concrete moment frame building in this study. For the FEMA procedure, which was originally developed for steel moment frame structures, to be applied to other structural systems, the capacity should be re-defined and the factors reflecting the uncertainties related to capacity and demand need to be determined. To perform the evaluation procedure a prototype building was designed per IBC 2003, and inelastic dynamic analyses were conducted applying site-specific ground motions to determine the parameters for performance evaluation. According to the analysis results, distribution of the determined capacities turned out to be relatively smaller than that of the demands, which showed that the defined capacity was reasonable. It was also shown that the prototype building satisfied the target performance since the determined confidence levels exceeded the objectives for both local and global collapses.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2005.03a
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• pp.195-202
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• 2005

High-rise residential buildings in these days tend to adopt a building frame system as primary earthquake resisting structural system for some architectural reasons. But there exist several ambiguities in designing such building frame systems according to current codes, with regards to : the effective stiffness property of RC cracked section in static and dynamic analyses, analytical model to evaluate story drift ratio and, deformation compatibility requirements of frames. The comparative study for these issues by appling IBC 2000 and KBC 2005 to a typical building frame system shows that demands of member strength and story drift ratio can be different significantly depending on designer's interpretation and application of code requirements.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.3
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• pp.289-295
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• 2008

The shared-route decision algorithms in multicasting communications networks to provide the internet-based services such as IPTV, remote education/health, and internet broadcasting are presented. The three main measures of maximum delay, average delay and estimated delay between each node and member are adopted. Under the Mesh network with the uniform random cost between each node, the algorithm's performance is compared to the optimal solution with the minimum cost by all enumeration. The simulation results show that the algorithm using the estimated delay outperforms the other two methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.177-179
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• 2014

컴퓨터 그래픽의 발달 및 다양한 멀티미디어 기기들의 보급이 증가함에 따라 스크린 콘텐츠 영상에 대한 수요가 증가하고 있다. 자연영상과 다른 특성을 지닌 스크린 콘텐츠 영상의 효율적인 압축을 위하여, 기존의 High Efficiency Video Coding (HEVC)의 SCC (screen content coding) 에서는 스크린 콘텐츠 영상을 위한 새로운 예측 기술이 추가되었다, 추가된 대표적인 예측 기술로 화면 내 블록 카피 (IBC: intra block copy) 기술과 팔레트 모드 등이 있다. 본 논문에서는 스크린 콘텐츠 코딩의 부호화 효율 향상 연구에 앞서, 스크린 콘텐츠 코딩에서 높은 부호화 효율을 보이는 화면 내 블록 카피 기술에 대하여 소개하고 화면 내 블록 카피 기술의 부호화 특성 및 블록 벡터 예측 기법에 대한 분석을 수행한다. 또한, 이러한 분석 결과를 토대로 화면 내 블록 카피 기술의 성능 향상을 위한 방법을 제시한다.

• Interdisciplinary Bio Central
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• v.2 no.4
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• pp.9.1-9.5
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• 2010

Many neurodegenerative diseases, such as Alzheimer's and Parkinson's disease, are devastating disorders that affect millions of people worldwide. However, the number of therapeutic options remains severely limited with only symptomatic management therapies available. With the better understanding of the pathogenesis of neurodegenerative diseases, discovery efforts for disease-modifying drugs have increased dramatically in recent years. However, the process of translating basic science discovery into novel therapies is still lagging behind for various reasons. The task of finding new effective drugs targeting central nervous system (CNS) has unique challenges due to blood-brain barrier (BBB). Furthermore, the relatively slow progress of neurodegenerative disorders create another level of difficulty, as clinical trials must be carried out for an extended period of time. This review is intended to provide molecular and cell biologists with working knowledge and resources on CNS drug discovery and development.

• Interdisciplinary Bio Central
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• v.1 no.3
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• pp.10.1-10.5
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• 2009

Toxicity is usually investigated using a set of standardized animal-based studies which, unfortunately, fail to detect all compounds that induce human adverse events and do not provide detailed mechanistic information of observed toxicity. As an alternative to conventional toxicology, toxicogenomics takes advantage of currently advanced technologies in genomics, proteomics, metabolomics, and bioinformatics to gain a molecular level understanding of toxicity and to enhance the predictive power of toxicity testing in drug development and risk/safety assessment. In addition, there has been a renewed interest, particularly in various government agencies, to prioritize and/or supplement animal testing with a battery of mechanistically informative in vitro assays. This article provides a brief summary of the issues, challenges and lessons learned in these fields and discuss the ways forward to further advance toxicology using these technologies.

• Interdisciplinary Bio Central
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• v.1 no.3
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• pp.11.1-11.5
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• 2009

One of the main issues of molecular evolution is to reveal the principles dictating protein evolutionary rates. A traditional hypothesis posits that protein evolutionary rates are mostly determined by the average functional importance of amino acids in a given protein. Thus the correlations of evolutionary rates with different variables such as PPI, gene essentiality and expression abundance have been studied to test the traditional hypothesis. Recently, mRNA expression abundance among the variables has drawn much attention, not only because it shows relatively strong correlation with protein evolutionary rates, but also because of the controversies surrounding an alternative hypothesis against the traditional one. Here, I will give an overview over the traditional hypothesis, and summarize the different variables that have been found to correlate with protein evolutionary rates. Then I will introduce pros and cons on the two different hypotheses.

• Journal of Nutrition and Health
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• v.30 no.8
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• pp.904-910
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• 1997

Evaluation of soy milk as an iron-rich milk substitute was conducted by feeding commercial soy milk , cow milk and mixed formula(soy and cow milk) to Wistar rats for 8 weeks. Body weight gains were significantly lower in the soy milk and mixed formula groups. Hematocrit, serum iron concentration and TIBC (total iron binding capacity) were measured to determine the iron status of the rats. In these respects, the iron status of the soy milk group was normal. Both serum iron concentration and TIBC as well as hematocrit were abnormal in the cow milk group , which is indictive of severe iron deficiency . Although hematocrit was normal in the mixed formula group, serum iron concentration was lightly low. The work capacities of each group were correlated with serum iron concentration and tIBC rather than hematocrit. The running distance of the soy milk group was about 10 -fold longer than that of the cow milk group. Soy milk may be considered an iron- rich substitute for cow milk due to its higher iron content and bioavailability.

• Interdisciplinary Bio Central
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• v.3 no.3
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• pp.9.1-9.5
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• 2011

Entity Attribute Value (EAV) is the widely used solution to represent high dimensional and sparse data, but EAV is not search efficient for knowledge extraction. In this paper, we have proposed a search efficient data model: Optimized Entity Attribute Value (OEAV) for physical representation of high dimensional and sparse data as an alternative of widely used EAV. We have implemented both EAV and OEAV models in a data warehousing en-vironment and performed different relational and warehouse queries on both the models. The experimental results show that OEAV is dramatically search efficient and occupy less storage space compared to EAV.

• Interdisciplinary Bio Central
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• v.5 no.2
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• pp.4.1-4.3
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• 2013

A history of discoveries of a gene and DNA was viewed with respect to people, time and places. It started with G. Mendel and J. Meisher, who discovered a gene in a plant species in 1866 and DNA in animals in 1869, respectively. With recognition that DNA was a chemical substance, A. Kossel identified the four chemical components of DNA without knowing their biological function around the turn of the 19th century. On the other hand F. Griffith found a peculiar activity in a bacterial species in 1928, but victimized by the war before understanding what it was. Those discoveries were made in Europe, but they were still fragmentary. Then, in USA, O. T. Avery, A. Hershey, M. Nirenberg and other scientists organized the European discoveries and elucidated their coordinated biological functions in 1950's and 1960'.