• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.5-8
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• 2000

This paper introduced a scheme for finding an optimal association matrix that represents the relationships between the measurements and tracks in multi-target tracking of Radar system. We considered the relationships between targets and measurements as MRF and assumed a priori of the associations as a Gibbs distribution. Based on these assumptions, it was possible to reduce the MAP estimate of the association matrix to the energy minimization problem. After then, we defined an energy function over the measurement space, that may incorporate most of the important natural constraints.

• Digital Contents
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• no.9 s.148
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• pp.42-53
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• 2005

디지털콘텐츠 솔루션은 디지털콘텐츠를 효율적으로 제작ㆍ유통하기 위해 필수 불가결한 부문으로 정보통신의 발전과 함께 솔 루션간 DBMS 등 소프트웨어와 융합되고 있다. 이러한 디지털 솔루션의 발전은 디지털콘텐츠의 제작ㆍ유통 과정을 획기적으 로 변화시킬 것이다. 본 고에서는 현재 디지털콘텐츠의 제작ㆍ유통에 큰 영향을 미치고 있고 여러 디지털콘텐츠 솔루션중 대 표적인 이슈인 CMSㆍDRMㆍCDN에 한정해 전세계를 주도하는 미국 시장에 대해 소개한다.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.115-121
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• 2017

AHR is a transcription factor activated by aryl hydrocarbons, regulating the expression of XMEs (xenobiotics Metabolizing Enzymes). Even though the role of AHR in human physiology has been intensively investigated for the past decades, our understandings are still largely limited due to the deficiency of adequate chemical agents. In addition, it has been demonstrated that AHR correlates to pathogeneses for some diseases. Furthermore, emerging data suggest that the study on the AHR may provide a valid therapeutic target. Classical antagonists in current use are reported to be partial agonistic whereas a pure antagonist is demanded. In this study, o-toluidinyl ring structure of 2-methyl-4-(2-methylphenyldiazenyl)phenyl picolinamide has been modified into various structures to optimize the AHR antagonistic activity by means of convergence study of organic synthesis and molecular biology.

• Journal of the Korea Convergence Society
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• v.6 no.2
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• pp.25-30
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• 2015

The purpose of this study was to analyze the factors that affects the participating in a smoking cessation program. Data were from the A Study on the Seoul Welfare Panel Study 2010. Subjects were 1,326 smokers aged 19 and older living in the community. Dependent variable was defined as experience of smoking cessation. Explanatory variables were included as age, gender, level of education, employment status, household income, marital status, drinking, self-reported health status, depression, disease, and physical activity. A prediction model was developed by the use of a Decision Tree and Neural Network Algorithm. In the Prediction model, self reported health status, disease, income, household income were significantly associated with participating in a smoking cessation program. Based this study, systematic education and development of programs are required.

• Journal of the Institute of Convergence Signal Processing
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• v.4 no.3
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• pp.1-6
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• 2003

It is difficult to detect and to track the moving targets like tanks and diesel vehicles due to the variety of terrain and moving of targets. It is possible to be happened the aliasing conditions as the difficulty of antenna deployment in the complex environment like the battle fields. In this paper, we study the problem of detecting and tracking of moving targets which are emitting wideband signals under severe spatial aliasing conditions because of the sparse arrays. We developed a direction of arrival(DOA) estimation algorithm based on subband MUSIC(Multiple Signal Classification) method which produces high-resolution estimation. In this algorithm, the true bearings are invariant regardless of changes of frequency bands while the aliased false bearings vary. As a result, the proposed algorithm overcomes the aliasing effects and improves the localization performance in sparse passive arrays.

• Journal of Advanced Navigation Technology
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• v.2 no.1
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• pp.43-52
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• 1998

In this paper, we have investigated the effects of geographic information on the performance of multiple ground target tracking system using multiple sensors. Geographic information is utilized in two cases: association and masking target measurement. Virtually no improvement is observed to the overall performance of tracking system when we applied mobility to the association procedure. Masking target measurement based on mobility produces desirable result that the number of false tracks is reduced. Since geographic information can be regarded as an additional sensor in sensor fusion paradigm, careful usage is required.

• Journal of Advanced Marine Engineering and Technology
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• v.29 no.5
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• pp.560-570
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• 2005

In this paper, we discuss the tracking system for a wheelchair which can follow the path of a human target such as a nurse in hospital. The problem of human tracking is that it requires recognition of feature as well as the tracking of human positions. For this purpose the use of a high cost visual sensor such as laser finder or streo camera makes the tracking a high cost additional expense. This paper proposes the tracking system uses a low cost infrared range-finder and CCD camera, The Infrared range-finder and CCD camera can create a target candidate through each target recognition algorithm. and this information is fused in order to reduce the uncertainties of a target decision and correct the positional error of the human. The effectiveness of the proposed system is verified through experiments.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.3
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• pp.372-379
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• 2011

Estimating underwater target state variables(position, velocity, course, etc) is necessary to counteract threatening targets. In passive sonar systems, conventional target motion analysis(TMA) techniques using bearing and frequency measurements of an underwater target are widely introduced. However, it is not clear how conventional TMA techniques can be used if some of frequency measurements are unavailable during parts of the scenario, partially unavailable frequency measurements are common in the ocean with complicated acoustic conditions where frequency measurements often come and go. This paper proposes a new TMA algorithm, which is robust to partially unavailable frequency measurements, using the frequency measurements fusion method.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.3
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• pp.445-452
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• 2010

Adequate segmentation of target objects from the background plays an important role for the performance of automatic target recognition(ATR) system. This paper presents a new segmentation algorithm using fuzzy thresholding to extract a target. The proposed algorithm consists of two steps. In the first step, the region of interest(ROI) including the target can be automatically selected by the proposed robust method based on the frame difference of each image sensor. In the second step, fuzzy thresholding with a proposed membership function is performed within the only ROI selected in the first step. The proposed membership function is based on the similarity of intensity and the adjacency of target area on each image. Experimental results applied to real CCD/IR images show a good performance and the proposed algorithm is expected to enhance the performance of ATR system using multi-sensors.

• Convergence Security Journal
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• v.23 no.4
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• pp.71-80
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• 2023

Cyberspace has emerged as the fifth domain of warfare, alongside land, sea, air, and space. It has become a crucial focus for offensive and defensive military operations. Governments worldwide have demonstrated their intent to engage in offensive cyber operations within this domain. This paper proposes an innovative offensive cyber kill chain model that integrates the existing defensive strategy, the cyber kill chain model, with the joint air tasking order (ATO) mission execution cycle and joint target processing procedure. By combining physical and cyber operations within a joint framework, this model aims to enhance national cyber operations capabilities at a strategic level. The integration of these elements seeks to address the evolving challenges in cyberspace and contribute to more effective jointness in conducting cyber operations.