• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.4
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• pp.180-187
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• 2002

Many real-time multimedia applications, such as video conferencing have stringent end-to-end delay constraints and consume large amount of network resources. In order to support these applications efficiently, multicast routing algorithms computing least cost multicast trees that satisfy a given end-to-end delay constraint are needed. However, finding such a tree is known to be computationally expensive. Therefore, we propose a heuristic distributed multicast routing algorithm that reduces a “finding multicast tree”that satisfies a given end-to-end delay constraint and minimizes the average resulting tree cost. Also, simulation results show that the proposed algorithm has much better average cost performance than other existing algorithms.

• Publications of The Korean Astronomical Society
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• v.15 no.spc2
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• pp.15-20
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• 2000

The geomagnetic measurements on the Korean Territory began in 1918 in the Incheon (Zinsen in Japanese pronunciation) Observatory of which the annual means of total magnetic field intensity, declination, and inclination still remain for 1918-1944. From 1970s, the National Geography Institute (NGI) and the Radio Research Laboratory (RRL) have tried independently to measure the geomagnetic field continuously. The RRL as the result of such efforts has installed 3 geomagnetic observatories, the first in Icheon and the second in Yongin in 1996, and the third in Jeju in 1997. From 1992, the Korea Institute of Geology, Mining and Materials (KIGAM) has tried also to measure the geomagnetism and as the result they have installed 2 geomagnetic observatories, one in Daejeon in 1998 and the other in Gyeongju in 2000. Nowadays, the RRL and the KIGAM collect the measured data into their own main computers by telecommunication in real time. The two institutions will cooperate in near future to link the two geomagnetic data bases so that the whole set of geomagnetic data measured on Korean Territory could be provided to the end users in Korea.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.27-40
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• 2016

Predicting stealthy behaviors plays an important role in designing stealth games. It is, however, difficult to automate this task because human players interact with dynamic environments in real time. In this paper, we present a reinforcement learning (RL) method for simulating stealthy movements in dynamic environments, in which an integrated model of Q-learning with Artificial Neural Networks (ANN) is exploited as an action classifier. Experiment results show that our simulation agent responds sensitively to dynamic situations and thus is useful for game level designer to determine various parameters for game.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.2
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• pp.122-128
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• 2000

With the rising innovative antigens(such as intruders and viruses) through Internet, new secure schemes are expected to perceptively detect and put them down. However, the current hosts over Internet could not properly analyze Internet antigens due to limitations of their system and network resources. In this paper, we introduce an Antibody Layer that mediates proper security services based on the biological mechanism to mpidly disclose and remove innovative antigens. The proposed Antibody Layer also provides three classes to make agreed-on security parameters set up easily with respect to real-time security QoS for one host as well as host alliances.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2005.11a
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• pp.121-124
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• 2005

The High Rate Wireless Personal Area Networks (WPAN) is mainly targeted to consumer electronics and portable communication devices which need high rates and QoS. To achieve these goals, the WPAN provides data rates up to 1Gbps and adopts a Time Division Multiple Access (TDMA) MAC protocol. Since IEEE 802.15.3 MAC is based on TDMA scheme, it has good performance in dealing with real traffics. But it does not give better results for dynamic traffic. For dynamic traffic, IEEE 802.15.3 MAC needs a kind of request and response policy that brings about the degradation of performance in order to adapt to network changes. To overcome this problem and enhance the data throughput, this paper proposes a superframe structure which uses the Enhanced Contention Access Period (ECAP) to transmit data during sleep-CTA in PM mode.

• Journal of Sensor Science and Technology
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• v.8 no.1
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• pp.63-68
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• 1999

We proposed a method of eye pattern detection in the 2-D image which was obtained by CCD video camera. To detect face region and eye pattern, we proposed pattern search network and batch SVD algorithm which had the statistical equivalence of PCA. We also used HMM to improve the accuracy of detection. As a result, we acknowledged that the proposed algorithm was superior to PCA pattern detection algorithm in computational cost and accuracy of defection. Furthermore, we evaluated that the proposed algorithm was possible in real-time face pattern detection with 2 frame images per second.

• Journal of Korean Society of Transportation
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• v.20 no.2
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• pp.135-148
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• 2002

In this paper, a queue length calculation algorithm using image detectors has been proposed. The algorithm produces the queue length using a pair of image detectors installed both on upstream and on downstream of a corridor. In addition, a new framework for controlling the traffic signal system based on queue length has been presented. More specifically, the scheme of determining the cycle time and green split using the queue lengths has been proposed. To validate the results, a simulation study was conducted with a network environment. Results showed that the proposed method gave better operational performance than a traditional method. However, additional validation effort is necessary in order to apply the real traffic conditions.

• Journal of the Korea Fashion and Costume Design Association
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• v.7 no.2
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• pp.1-10
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• 2005

This study intends to examine extensively on the current situation where the full capacity of 3D CG is not being highlighted because of the lack of the information and the awareness and to look at how the virtual reality technology is being applied ranging from the design of the clothes to the marketing. A set of processes ranging from the development of the clothing design to the marketing will be performed on the web. Designers will design with 3D CG and make the patterns and will hand this over to the producer together with the virtual swatch. But there are important problems to work out. First, it is the problem of the virtual fitting room. Second, it is the absence of the 3D CG, which is easy and convenient for the clothing design. Third, it is to perfect the visual reconstruction. Fourth, it is the security of the distribution system. Fifth, it also calls for the strengthened internet network that can smooth the flow of the tremendous data. Consumer will be able to produce according to their needs and will become designer and producer at the same time, resulting in the achievement of the consumer-oriented marketing in real sense.

• The KIPS Transactions:PartC
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• v.8C no.1
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• pp.41-50
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• 2001

With growth of Internet, real time multimedia application services require guarantee of QoS (Quality of Service). However, the existing Internet based on best-effort service is not enough to support those services, so MARS model to support IP multicast over ATM networks and RSVP to provide heterogeneous QoS by resource reservation scheme are proposed. As a simulation result, it is proved that processing delay of MARS is increased and success of resource reservation is decreased as a number of QoS change request of a receiver is increased. Therefore, it is important to provide heterogeneous QoS that distribute a load of MARS caused by convergence of messages and efficiently manage the resource of network as to find out scale of receivers and frequency of QoS change request.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.991-995
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• 2005

Sensor networks are the results of convergence of very important technologies such as wireless communication and micro electromechanical systems. In recent years, sensor networks found a wide applicability in various fields such as health, environment and habitat monitoring, military, etc. A very important step for these many applications is pattern classification and recognition of data collected by sensors installed or deployed in different ways. But, pattern classification and recognition are sometimes difficult to perform. Systematic approach to pattern classification based on modern teaming techniques like Multivariate Gaussian mixture models, can greatly simplify the process of developing and implementing real-time classification models. This paper proposes a new recognition system which is hierarchically composed of many sensor nodes haying the capability of simple processing and wireless communication. The proposed system is able to perform classification of sensed data using the Multivariate Gaussian function. In order to verify the usefulness of the proposed system, it was applied to hand gesture recognition system.