• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.3
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• pp.89-98
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• 2008

The vetronics is necessarily required for enhancement of the operational capability and optimization of the system architecture. In this paper, we presents the realtime control methods for the vetronics of the fighting vehicles. We proposed the data distribution based on standard bus and computer resource for realtime and integrated control of the system. Embedded computers are designed considering extensibility and reliability of the system. The integrated display improves the operator's capability. We applied the network centric battle management and digital power control with intelligent switching elements to increase cooperated combat efficiency and reliability. To show the feasibility of the presented design schemes, the vetronics has been implemented and applied to a real fighting vehicle.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.32-37
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• 2009

Recently, electronic mail(E-mail) is the most popular communication manner in our society. In such conventional environments, spam increasingly congested in Internet. In this paper, Chinese spam could be effectively detected using text and image features. Using text features, keywords and reference templates in Chinese mails are automatically selected using genetic algorithm(GA). In addition, spam containing a promotion image is also filtered out by detecting the text characters in images. Some experimental results are given to show the effectiveness of our proposed method.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.222-222
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• 2011

안전한 수질의 용수를 안정적으로 공급하기 위해 대단위 농업단지를 중심으로 농업용 관수로 건설이 고려되고 있는 환경에서 보다 경제적으로 관수로를 건설하기 위한 연구가 수행되었다. 관수로의 최적 관경설계는 전통적으로 비선형성을 고려하여야 하므로 수리학적 해석모형과 추계학적 탐색기법을 이용한 연구가 수행되었다. 그러나 본 연구에서는 비선형성을 가진 최적 관경시스템의 선형화를 시도한 후, 농지이용에 따른 대표작물에 대한 설계용수량을 사용한 농업용 관수로 관경 최적화를 시도하였다. 제안된 모형을 이용하여 농지의 크기, 작물의 형태, 동수경사선의 기울기에 따라 적합한 관경을 산정하였으며, 그 결과를 이용한 설계 표준화를 시도하였다. 표준화된 설계지침을 이용하면 향후 보다 편리하게 농업용 관수로를 설계할 수 있을 것으로 판단된다. 또한 실제 관수로에의 적용성을 입증하기 위해 실제 건설되는 농업단지의 설계에 제안된 모형을 이용하고, 시행착오법으로 산정된 결과와 비교하여 그 경제성을 입증하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.443-447
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• 2011

최근 수재해는 중소하천을 부근에서 주로 발생하고 있는 것이 사실이며 중소하천에서 수재해 발생 여부를 선재적으로 파악하여 비상시 피해를 최소화할 수 있는 적절한 수위관측망의 설치가 필요하다. 따라서 본 연구에서는 중소하천에서 최적 수위관측망을 구성하기 위한 방법론으로 각 소유역의 단위도를 유도하여 확률밀도함수를 이용한 후 엔트로피 이론을 적용하였다. 또한 재해에 취약한 재해위험지구를 분류하여 수위관측소의 설치가 필요하다고 판단되는 지점을 우선적으로 선택할 수 있도록 방법론을 설정하여 낙동강 유역의 중소유역을 대상으로 적용하였다. 적용 결과 각 중소하천에서의 소수의 수위관측소들이 비선정된 것을 제외하고 대다수가 선정되었다. 이와 같은 방법론은 방재측면을 고려한 수위관측망을 구성하기 위하여 유용하게 활용될 수 있을 것으로 기대된다.

• Journal of the military operations research society of Korea
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• v.22 no.2
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• pp.73-89
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• 1996

This paper suggests the new IP, SIMIP(Simple Mobile IP), which supports a continuous mobility between a static host and a mobile host in the static TCP/IP LAN environment where mobile hosts are overlayed with cells. For designing a mobile protocol, routing optimization is very important, and it is directly related to the management mechanism of a mobile host's location information. When the mobile hosts' location information are centralized, the network has high risk when a centralized device fails. On the other hand, when they are distributed, the above problems are solved. But it requires complicated techniques in order to search the encapsulated addresses. SIMP centralizes mobile hosts' location information, minimizes the risk by automatically substituting the failed default mobile router with one of the multiple general mobile routers, and supports the optimal routing path through "default mobile router path alternation" Then since SIMIP isn't reasonable the operations informations to the chief in military operations room.ions room.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.7
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• pp.1273-1278
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• 2008

In community computing environments, various members cooperate with each other systematically for attaining each community's goals. Because community computing environments are organized on the basis of PAN (Personal Area Network), each member commonly uses the power of batteries. If one member in community uses up the power of battery and does not operate normally, the community will not be able to provide the ultimate service goals for its users and be terminated finally. Therefore, it is necessary for accurate community operation to prevent a specific member's lifetime from terminating, as checking each member's power consumption in real-time. In this paper, we propose WEL (WEighted Leach) algorithm for optimizing lifetime of the members in community.

• Journal of Electrical Engineering and Technology
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• v.5 no.3
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• pp.493-496
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• 2010

At present, Metal Oxide gas Sensors (MOXs) are widely used in gas detection because of its advantages, including high sensitivity and low cost. However, MOX presents well-known problems, including lack of selectivity and environment effect, which has motivated studies on different measurement strategies and signal-processing algorithms. In this paper, we present an artificial neural network (ANN) that models an MOX sensor (TGS822) used in a dynamic environment. This model takes into account dependence in relative humidity and in gas nature. Using MATLAB interface in the design phase and optimization, the proposed model is implemented as a component in an electronic simulator library and accurately expressed the nonlinear character of the response and that its dependence on temperature and relative humidity were higher than gas nature.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.36 no.4
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• pp.231-239
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• 1987

Distribution system is one of large and complicated sytem, consisted of a great number of components. Therefore efficient operation based on precise analysis and computation methods is indispensable accommodating growing loads. This paper describes an optimal operation problem to relieve overload flow in radial distribution systems by using modified block model. The problem is formulated as a network problem of synthesizing the optimal spanning tree in a graph, branch and bound method is used for the optimization. Especially modified block model proposed in this paper is validated more practical than conventional model. These methods can be applied to two types of distribution system problems such as, 1) planning problem to check the capability of relieving overload at normal rating, 2) emergency operation problem to determine switching scheme for minimizing customer loads affected by a fault. Examples of application to these problems are discussed.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.07a
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• pp.294-299
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• 2003

We have investigated the structures of copper nanowires encapsulated in carbon nanotubes using a structural optimization process applied to the steepest descent method. The results showed that the stable morphology of the cylindrical ultrathin copper nanowires in carbon nanotubes is multishell packs consisted of coaxial cylindrical shells. As the diameter of copper nanotubes increased, the encapsulated copper nanowires have the face centered cubic structure as the bulk. Both the semiclassical orbits in a circle and the circular rolling of a triangular network can explain the structures of ultrathin multishell copper nanowires encapsulated in carbon nanotubes.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1075-1086
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• 2018

In this paper a cross-validation algorithm for training probabilistic neural networks (PNNs) is presented in order to be applied to automatic face identification. Actually, standard PNNs perform pretty well for small and medium sized databases but they suffer from serious problems when it comes to using them with large databases like those encountered in biometrics applications. To address this issue, we proposed in this work a new training algorithm for PNNs to reduce the hidden layer's size and avoid over-fitting at the same time. The proposed training algorithm generates networks with a smaller hidden layer which contains only representative examples in the training data set. Moreover, adding new classes or samples after training does not require retraining, which is one of the main characteristics of this solution. Results presented in this work show a great improvement both in the processing speed and generalization of the proposed classifier. This improvement is mainly caused by reducing significantly the size of the hidden layer.