• Bioinformatics and Biosystems
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• v.2 no.2
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• pp.71-74
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• 2007

Cell phenotypes are determined by groups of functionally related genes. Microarray profiling of gene expression provides us response of cellular state to its perturbation. Several methods for uncovering a cellular network show reliable network reconstruction. In this study, we present reconstruction of genetic regulatory network of inflammation bowel disease in human peripheral blood mononuclear cell. The microarray based on Affymetrix Gene Chip Human Genome U133 Array Set HG-U133A is processed and applied network reconstruction algorithm, ARACNe. As a result, we will show that inferred network composed of 450 nodes and 2017 edges is roughly scale-free network and hierarchical organization. The major hub, CCNL2 (cyclin A2), in inferred network is shown to be associated with inflammatory function as well as apoptotic function.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1A
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• pp.18-26
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• 2000

Yeung suggested[10] efficient channel management technique suitable for the mobility model in the hierachical cellular system. It improved the existing channel allocation techniques by additionally considering the user’s mobility, allocating the channel of microcell to low-speed mobiles, and the channels of macrocell to high-speed mobiles. In this paper, we have suggested new channel management technique, which is directly compared with those of Yeung’s system and existing model. Blocking probabilities for each model are found through the queuing analysis and we have shown that our proposed system outperforms the both.

• Journal of Communications and Networks
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• v.7 no.2
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• pp.178-191
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• 2005

Fourth-generation (4G) wireless networks will be the IP-based cellular networks integrating Internet with the existing cellular networks. Two important issues should be concerned in the IP-based cellular networks, IP mobility, and quality-of-service (QoS) guarantees. In this paper, we proposed two mechanisms to solve the problems with IP mobility and RSVP-based QoS provisioning. First, virtual-IP (VIP) allocation scheme in areas with a large rate of handoff can minimize the wireless signaling overhead due to IP mobility. The access routers (ARs) create dynamically the VIP zone by using the measured handoff rate derived from the history of the handoff into neighboring ARs. We show that VIP allocation scheme reduces the binding update messages in the wireless link than hierarchical mobile IPv6. Second, the new advance resource reservation protocol called proportional aggregate RSVP (PA-RSVP) can minimize waste of bandwidth and soft state refresh overhead due to IP mobility. It allocates the bandwidth in advance between the mobility anchor point and neighboring ARs using proportional aggregate reservation. We also show that PA-RSVP provides an improved performance over existing protocols.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12A
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• pp.1806-1814
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• 2000

본 논문에서는 CDMA 계층구조 셀룰러 시스템에서 매크로 셀 기지국과 통신을 하는 고속 이동국과 마이크로 셀 기지국과 통신을 하는 저속 이동국의 비 그리고 소프트 핸드오프 영역 비에 따른 기지국이 받는 간섭전력과 시스템 용량을 구하였다. 매크로 셀 기지국과 통신을 하는 고속 이동국이 마이크로 셀 기지국과 통신을 하는 저속 이동국보다 많을수록 기지국이 받는 간섭전력은 증가하며 따라서 시스템 용량은 감소한다. 그러나 소프트 핸드오프 영역의 증가로 기지국이 받는 간섭전력은 감소하명 시스템 용량은 상당히 증가한다.

• Proceedings of the Korea Society for Simulation Conference
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• 1998.10a
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• pp.82-85
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• 1998

본 논문에서는 음성호 및 데이터호를 동시에 서비스하는 계층구조를 가지는 CDMA 셀룰러 시스템에서 트래픽 특성을 고려한 효율적인 채널 할당 알고리듬을 제안한다. 제안된 채널할당 알고리듬은 첫째, 계층구조를 가지는 셀룰러 시스템에서 호의 종류를 음성호와 데이타호로 나누고 트래픽의 특성을 분석한다. 둘째, 위에서 구한 트래픽 특성을 바탕으로 핸드오프와 신규호 블록킹확률을 최소로 하기 위하여 마이크로셀에서 매크로셀로 오버플로우 시키는 방식을 적용한다. 셋째, 신규화와 핸드오프호의 블록킹 확률을 구하고 QoS를 만족시키는 음성호와 데이터호의 채널분배 방법을 제시하여 시스템의 성능을 향상시키고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1401-1404
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• 2004

점증하고 있는 무선망에서의 다양한 멀티미디어 서비스를 안정적으로 지원하기 위해서는 효율적인 대역폭 관리가 필수적이다. 본 논문에서는 차세대 네트워크의 기반이 되는 계층 셀 구조에서, 대역폭의 효율적인 관리를 지원하기 위한 통합 프레임워크를 제안하였다. 현재 트래픽의 과밀도와 사용자의 이동성을 기반으로 적절한 셀 선택, 대역폭 예약 및 재설정, 버퍼링 등의 알고리즘을 설계하였으며, 이들을 유기적으로 통합, 시스템 전반의 QoS를 향상시켰다.

• Journal of KIISE:Information Networking
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• v.32 no.5
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• pp.551-560
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• 2005

To reduce the amount of the signaling messages occurred in movement, HMIPv6 has been introduced as the hierarchical mobility management architecture tor MIPv6 by regarding the locality of movements. When approaching the visited link, the authentication procedure should be done successfully prior to any motility support message exchanges. The AAA(Authentication, Authorization and Account) authentication service is applied gradually to the wireless LAN and Cellular networks. However, It may bring about the service latency for the sessions of requiring the real-time processing due to not providing the optimized signaling in local and frequent movements. In this paper, we propose the authentication architecture with 'delegation' scheme to reduce the amount of signaling message and latency to resume for local movements by integrating it with HMIPv6 architecture. We provide the integrated authentication model and analyze the performance and effectivity of our proposal and finally offer the analysis materials comparing to the exiting authentication scheme. It cuts down the cost to $33.6\%$ at average measurement.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.39-49
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• 2004

When there is a lack of detailed kinetic information, dFBA(dynamic flux balance analysis) has correctly predicted cellular behavior under given environmental conditions with FBA and different ial equations. However, until now, dFBA has centered on substrate concentration, cell growth, and gene on/off, but a detailed hierarchical structure of a regulatory network has not been taken into account. For this reason, the dFBA has limited the represen tation of interactions between specific regulatory proteins and genes and the whole transcriptional regulation mechanism with environmental change. Moreover, to calculate optimal metabolic flux distribution which maximizes the growth flux and predict the b ehavior of cell system, linear programming package(LINDO) and spreadsheet package(EXCEL) have been used simultaneously. thses two software package have limited in the visual representation of simulation results and it can be difficult for a user to look at the effects of changing inputs to the models. Here, we descirbes the construction of hierarchical regulatory network with defined symbolsand the development of an integrated system that can predict the total control mechanism of regulatory elements (opero ns, genes, effectors, etc.), substrate concentration, growth rate, and optimal flux distribution with time. All programming procedures were accoplished in a visual programming environment (LabVIEW).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.1-19
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• 2015

With the recent popularity of smart terminals, the demand for high-data-rate transmission is growing rapidly, which brings a new challenge for the traditional cellular networks. Both device-to-device (D2D) communication and small cells are effective to improve the transmission efficiency of local communication. In this paper, we apply D2D communication into a small cell network system (SNets) and study about the optimization problem of resource allocation for D2D communication. The optimization problem includes system scheduling and resource allocation, which is exponentially complex and the optimal solution is infeasible to achieve. Therefore, in this paper, the optimization problem is decomposed into several smaller problems and a hierarchical scheme is proposed to obtain the solution. The proposed hierarchical scheme consists of three steps: D2D communication groups formation, the estimation of sub-channels needed by each D2D communication group and specific resource allocation. From numerical simulation results, we find that the proposed resource allocation scheme is effective in improving the spectral efficiency and reducing the outage probability of D2D communication.

• Biotechnology and Bioprocess Engineering:BBE
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• v.10 no.5
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• pp.385-399
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• 2005

The phenotypic response of a cell results from a well orchestrated web of complex interactions which propagate from the genetic architecture through the metabolic flux network. To rationally design cell factories which carry out specific functional objectives by controlling this hierarchical system is a challenge. Transcriptome analysis, the most mature high-throughput measurement technology, has been readily applied In strain improvement programs in an attempt to Identify genes involved in expressing a given phenotype. Unfortunately, while differentially expressed genes may provide targets for metabolic engineering, phenotypic responses are often not directly linked to transcriptional patterns, This limits the application of genome-wide transcriptional analysis for the design of cell factories. However, improved tools for integrating transcriptional data with other high-throughput measurements and known biological interactions are emerging. These tools hold significant promise for providing the framework to comprehensively dissect the regulatory mechanisms that identify the cellular control mechanisms and lead to more effective strategies to rewire the cellular control elements for metabolic engineering.