• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.67-72
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• 2011

Single nucleotide polymorphisms (SNPs) are a very important tool for the study of human genome structure. Cluster analysis of the large amount of gene expression data is useful for identifying biologically relevant groups of genes and for generating networks of gene-gene interactions. In this paper we compared the clusters of SNPs within asthma group and normal control group obtained by using hierarchical cluster analysis method with entropy distance. It appears that the 5-cluster collections of the two groups are significantly different. We searched the best set of SNPs that are useful for diagnosing the two types of asthma using representative SNPs of the clusters of the asthma group. Here support vector machines are used to evaluate the prediction accuracy of the selected combinations. The best combination model turns out to be the five-locus SNPs including one on the gene ALOX12 and their accuracy in predicting aspirin tolerant asthma disease risk among asthmatic patients is 66.41%.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.1
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• pp.81-88
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• 2000

As distributed systems become used in wider area of applications, many works has been done to invent more efficient way to manage the distributed systems. The client-server based distributed system management by using SNMP or CMIP has many problems such as scalability, interoperability, flexibility, and so on. Recently, it is evident that managing distributed systems using mobile agents have popularity, and the Java language helps the trend. However, the improvement of performance has to be analyzed when the mechanism of mobile agent is applied In this paper, we discuss a more efficient way to make use of the mobile agent mechanism for managing distributed systems, and propose an Agent-On-Demand (AOD) method. The core of the method is not to use the previous method that mobile agents doing management job is dispatched to the managed nodes by a manager application, but to make agents requested by the managed nodes and then the manager application send the requested agents to that nodes. This process is done through Hierarchical State Threshold (HST). Also we present a performance model for Java RMI and mobile agent, and compare the AOD method with the previous work in terms of network overhead and execution time.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.371-385
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• 2013

Library and information service (LIS) of academic libraries plays an important role in the education and research activities of universities. Such importance of LIS facilitated much research that defines the quality factors constituting LIS and identifies the importance of them. The previous literature, however, has some limitations. The limitations arise from the interrelationship among the quality factors and the perception gap between users and providers on LIS quality factors. Despite the understanding of the interrelationship and the perception gap, LIS studies to deal with both dimesions synthetically are sparse. Therefore, this paper defines the interrelationship among LIS quality factors as a network model, then identifies the perception gap on LIS quality factors by exploiting the analytic network process. As an early stage study, this paper contributes to helping the quality improvement of acedemic LIS by considering the interrelationship among LIS quality factors and the perception gap on the LIS quality factors between LIS users and providers.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.791-795
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• 2009

There is a need for a system independent human data format that doesn't depend on a specific graphics tool or program to use interoperable human data in a network environment. To achieve this, the Web3D Consortium and ISO/IEC JTC1 WG6 developed the international draft standard ISO/IEC 19774 Humanoid Animation(H-Anim). H-Anim defines the data structure for an articulated human figure, but it does not yet define the data for human motion generation. This paper discusses a method of obtaining compatibility and independence of motion data between application programs, and describes a method of simplifying motion retargetting necessary for motion definition of H-Anim characters. In addition, it describes a method of generating H-Anim character animation using arbitrary 3D character models and arbitrary motion capture data without any inter-relations, and its implementation results.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.9
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• pp.38-45
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• 2016

For higher efficiency and reliability of railroad trains with many electronic sensors and actuators, a distributed control system with which electronic components communicate with each other in a distributed manner via a data network is considered. This paper considers Ethernet-based Train Communication Network (TCN) for this purpose and proposes a methodology to optimize the topology in terms of transmission latency and reliability, each of which is modeled as the number of traversing backbone nodes and the number of cables between vehicles, respectively. An objective function is derived accordingly and a closed-form optimum is obtained by relaxing the integer constraint of the number of vehicles for a unit network. Then, the final integer optimum is searched around it. Through numerical evaluation, the validity of the proposed methodology and the characteristics of the resulting solutions are shown.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.10B
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• pp.660-668
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• 2005

Recently, the Internet-based communication method has been adopted as an open networking solution in the field of remote control and data acquisition. In the current Internet, most networking applications are developed according to the client-server approach. In this paper, we propose an innovative Device Configuration Protocol (DCP) that exchanges the traditional role between client and server to provide a uniform device interface over the Internet for various field devices. The proposed protocol is implemented as an application-level protocol running on top of the standard TCP/IP protocols. Also, the DCP protocol is extended with real-time processing to work with the FlowLabel of IPv6 for QoS (Quality of Service) support. The simulation results show that the real-time packets can be processed prior to the given deadline regardless of throughput, as compared to the normal packets.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11A
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• pp.1051-1058
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• 2010

Mobile IP (MIP) and SIP are considered as important technologies to provide the macro mobility in the next generation mobile convergence networks which have heterogeneous access networks. Typically, MIP and SIP are more suitable for the non-real-time TCP connections and the real-time RTP/UDP sessions respectively, hence a handset which uses both of these sessions should simultaneously apply MIP and SIP to perform the efficient mobility management. Existing multi-layered mobility management schemes focus on the signalling order of each protocol. However, simple combining of two protocols cannot provide the performance enhancement of the mobility management. In this paper, a novel multi-layered mobility management algorithm using the combination of SIP and fast MIPv6 (FMIPv6) is proposed. FMIPv6 and SIP mobility is simultaneously performed to reduce the service interrupt time and to guarantee QoS requirement. The delay model is defined to analysis the performance of the algorithm and the simulation results show the performance of the proposed algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.2
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• pp.378-384
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• 2008

The sensor network for the health care application service has the man or movable object as the main sensing object. In order to support inter-node interaction by the movement of such sensing objects, the node's dynamic function modification, dynamic self-configuration and energy efficiency must be considered. In this paper, the Agilla model which supports the dynamic function modification through the agent migration between nodes and LEACH protocol which guarantees the dynamic self-configuration and energy efficiency through the configuration of inter-node hierarchical cluster configuration are analyzed. Based on the results of the analysis, the Mobility Agent Middleware which supports the dynamic function modification between nodes is designed, and LEACH_Mobile protocol which guarantees the node nobility as the weakness of the existing LEACH protocol is suggested. Also, the routing module which supports the LEACH_Mobile protocol is designed and the interface for conjunction with Mobility Agent Middleware is designed. Then, it is definitely increase performance which un mobility node of transfer data rate through LEACH_Mobile protocol of simulation result.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.1060-1070
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• 2022

With the development of information technology, the size of the system has become larger and diversified, and the existing role-based access control has faced limitations. Blockchain technology is being used in various fields by presenting new solutions to existing security vulnerabilities. This paper suggests efficient role-based access control in a blockchain where the required gas and processing time vary depending on the access frequency and capacity of the storage. The proposed method redefines the role of reusable units, introduces a hierarchical structure that can efficiently reflect dynamic states to enhance efficiency and scalability, and includes user-centered authentication functions to enable cryptocurrency linkage. The proposed model was theoretically verified using Markov chain, implemented in Ethereum private network, and compared experiments on representative functions were conducted to verify the time and gas efficiency required for user addition and transaction registration. Based on this in the future, structural expansion and experiments are required in consideration of exception situations.

• Smart Media Journal
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• v.11 no.1
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• pp.46-57
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• 2022

In this paper, multi-region based Radial Graph Convolutional Network (MRGCN) algorithm which can perform end-to-end action recognition using the optical flow and gradient of input image is described. Because this method does not use information of skeleton that is difficult to acquire and complicated to estimate, it can be used in general CCTV environment in which only video camera is used. The novelty of MRGCN is that it expresses the optical flow and gradient of the input image as directional histograms and then converts it into six feature vectors to reduce the amount of computational load and uses a newly developed radial type network model to hierarchically propagate the deformation and shape change of the human body in spatio-temporal space. Another important feature is that the data input areas are arranged being overlapped each other, so that information is not spatially disconnected among input nodes. As a result of performing MRGCN's action recognition performance evaluation experiment for 30 actions, it was possible to obtain Top-1 accuracy of 84.78%, which is superior to the existing GCN-based action recognition method using skeleton data as an input.