• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.959-962
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• 2005

Efficient video data storage and search techniques are essential for DVR-based security systems. We have designed appropriate data structures and search techniques for efficient image storage and search, in this study. The date and time can be saved and searched as a folder form. The overall system is designed for MPEG4 CODEC. It can handle variable sizes of frames (100bytes $^{\sim}$ 6Kbytes) produced by MPEG4 CODEC without errors. We also have developed image transmission techniques through inter-net networking.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 1994년도 추계학술발표회 및 정기총회
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• pp.1-2
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• 1994

With the prevalence of computers in modern organizations, simulation is receiving more atention as an effectvie decision -making tool. Simualtion is a computer-based numerical technique which uses mathmatical and logical models to approximate the behaviror of a real-world system. However, iptimization of synamic stochastic systems often defy analytical and algorithmic soluions. Although a simulation approach is often free fo the liminting assumption s of mathematical modeling, cost and time consiceration s make simulation the henayst's last resort. Therefore, whenever possible, analytical and algorithmica solutions are favored over simulation. This paper discussed the issues and procedrues for using simulation as a tool for optimization of stochastic complex systems that are dmodeled by computer simulation . Its emphasis is mostly on issues that are speicific to simulation optimization instead of consentrating on the general optimizationand mathematical programming techniques . A simulation optimization problem is an optimization problem where the objective function. constraints, or both are response that can only be evauated by computer simulation. As such, these functions are only implicit functions of decision parameters of the system, and often stochastic in nature as well. Most of optimization techniqes can be classified as single or multiple-resoneses techniques . The optimization of single response functins has been researched extensively and consists of many techniques. In the single response category, these strategies are gradient based search techniques, stochastic approximate techniques, response surface techniques, and heuristic search techniques. In the multiple response categroy, there are basically five distinct strategies for treating the responses and finding the optimum solution. These strategies are graphica techniqes, direct search techniques, constrained optimization techniques, unconstrained optimization techniques, and goal programming techniques. The choice of theprocedreu to employ in simulation optimization depends on the analyst and the problem to be solved. For many practival and industrial optimization problems where some or all of the system components are stochastic, the objective functions cannot be represented analytically. Therefore, modeling by computersimulation is one of the most effective means of studying such complex systems. In this paper, after discussion of simulation optmization techniques, the applications of above techniques will be presented in the modeling process of many flexible manufacturing systems.

• 한방재활의학과학회지
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• 제21권2호
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• pp.171-188
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• 2011

Objectives : The aim of this study is to analyze the actual investigation and classification of osteopathic manipulation by investigation of the various literature of the inside and outside of the country, and to present the application plan of osteopathy in chuna manual therapy for meridian sinew system. Methods : I referred to the domestic and foreign books about osteopathy and chiropractic. In order to investigate domestic dissertations, I searched 4 Korean medical databases and 4 Korean medical journals of osteopathy. Search terms used were osteopathy, osteopathic, fascia, proprioreceptor, mechanoreceptor, muscle spindle, golgi tendon organ, osteopathic manipulation technics. And I classified all the searched studies into principle and region and etc. In order to investigate foreign dissertations, I search 'NCBI pubmed'. Search terms used were osteopathy, osteopathic technique, osteopathic manipulative technique. Results : 1. Osteopathy do not regard the systems which compose the human body in individual territory, but regard whole. It is diagnosis, prevention and medicine which treats 2. Osteopathic manipulation techniques are classified into direct techniques, indirect techniques, and compound techniques. 3. Osteopathic manipulation techniques are classified into fascia, muscle, ligament-joint in applied region. 4. I could search clinical cases in domestic and foreign study. I found cases about myofascial release technique(MFR), postisometric relaxation(PIR), proprioceptive neuromuscular fascilitation(PNF), muscle energy technique(MET), joint mobilization in domestic studies, and strain-counterstrain technique(SCS), MET, AK in foreign studies. Conclusions : Osteopathic manipulation techniques can be used in diagnosis and treatment of meridian muscle theory, because osteopathy and the oriental medicine have many similarities in theoretical background. So osteopathic manipulation technique can be useful in oriental medicine treatment techniques.

• Spatial Information Research
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• 제21권4호
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• pp.7-14
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• 2013

최근 도로 네트워크 환경에서 범위 검색에 관한 연구가 활발히 진행되고 있다. 그러나 기존의 대표적인 범위 검색 기법들은 POI(Point of Interest)의 개수가 많을수록 저장 공간이 증가하거나 비효율적인 검색 과정으로 인해 검색 시간이 오래 걸리는 단점이 있다. 따라서 본 논문에서는 이러한 기존 범위 검색 기법들의 문제점을 해결하기 위해 QRMP(QR-tree using Middle Point)를 이용하는 범위 검색 기법을 제시하였다. 그리고 QRMP의 전체 저장 공간 크기를 구하는 수식을 산출하고, 또한 실제 도로 네트워크와 POI 데이터를 이용한 실험을 통해 본 논문에서 제안하는 범위 검색 기법의 우수성을 입증하였다.

• 정보과학회 논문지
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• 제43권11호
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• pp.1275-1280
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• 2016

유사 문자열 검색을 위해 기존의 기법들은 우선 후보 문자열 집합을 생성한 후에 후보 문자열을 검증하는 방법을 사용한다. 이때, 유사 문자열 검색의 성능을 결정짓는 가장 중요한 요소는 후보 생성 방법이다. 기존의 기법들은 질의 문자열로부터 고정길이 q-그램들을 선택하고, 선택된 q-그램에 해당하는 역리스트를 이용해 후보 문자열을 생성한다. 본 논문에서는 질의 문자열 내의 가변길이 그램들을 사용하여 후보 문자열을 생성할 수 있는 기법과 질의 문자열로부터 최적의 가변길이 그램들의 조합을 선택하는 동적 프로그래밍 알고리즘을 제안한다. 실험을 통해 제안하는 기법이 기존의 기법들 보다 유사 문자열 검색의 성능을 향상시킴을 보인다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.595-598
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• 2002

This paper proposes neighborhood reduction techniques in local search of the customer decomposition subproblem in the Multi Depots Vehicle Routing Problem with Time Windows (MDVRPTW) by using geospatial relation among depots and customers. The neighborhood of the customer decomposition subproblem can be simply and well defined but it should include excessively bad solution candidates. Our techniques find such candidates by using information of the problem domain, geographical relation. We use our techniques in Tabu Search and evaluate the effectiveness in computer experiment.

• 한국시뮬레이션학회논문지
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• 제3권2호
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• pp.57-67
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• 1994

For many practical and industrial optimization problems where some or all of the system components are stochastic, the objective functions cannot be represented analytically. Therefore, modeling by computer simulation is one of the most effective means of studying such complex systems. In this paper, with discussion of simulation optimization techniques, a case study in machining process for application of simulation optimization is presented. Most of optimization techniques can be classified as single-or multiple-response techniques. The optimization of single-response category, these strategies are gradient based search methods, stochastic approximate method, response surface method, and heuristic search methods. In the multiple-response category, there are basically five distinct strategies for treating the responses and finding the optimum solution. These strategies are graphical method, direct search method, constrained optimization, unconstrained optimization, and goal programming methods. The choice of the procedure to employ in simulation optimization depends on the analyst and the problem to be solved.

• 한국항공운항학회지
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• 제21권4호
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• pp.90-105
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• 2013

As witnessed in September 11 attacks, air terrorism is often the most effective means to achieve their goals, and thereby requires a sophisticated level of security measures. Moreover, considering the nature of air transportation, the prevention of air terrorism demands a wide range of international cooperation and joint efforts such as timely sharing of information related to air terrorism (such as latest terror techniques and list of terrorists) between nations, International Air Transport Association (IATA) and International Civil Aviation Organization (ICAO) As most air terrorism can be effectively prevented through security and search activities in airports, this study has focused on researching security measures and issues in major airports around the world, along with the potential measures to improve them. To achieve this effect, this paper offers solutions to preventing air terrorism by exploring appropriate responses to various type of air terrorism, deployment of advanced security and search equipment, techniques to identify terrorists, R&D on equipments to physically take down terrorists and systematic improvements on airport security search process.

• BMB Reports
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• 제50권12호
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• pp.610-614
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• 2017

Scientists planning research that involves the use of animals are required to examine the possibilities for replacement, reduction, or refinement (the Three Rs), and their protocol must be reviewed by the Institutional Animal Care and Use Committee. Good scientific practice involving appropriate search techniques on the available Three Rs resources is essential for both ethical and scientific reasons. Appropriate experimental design and statistical analysis techniques are particularly necessary for research involving the use of animals, because this can improve animal welfare and scientific outcomes, as well as saving animal lives. There are a number of resources to help researchers improve their search techniques, experimental design strategies, and their reporting of research involving the use of animals. However, there is little specific information or resources on the Three Rs alternatives that is readily available in the Korean language. This paper outlines the common errors made by submitting researchers that have been repeatedly observed during the ethical review of experimental protocols over the last ten years, and provides information on the Korean resources available to promote good scientific practice. This could help to bridge the gap between Korean scientists and animal welfare advocates assisting scientists to improve ethical considerations and conduct responsible research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1348-1375
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• 2018

Support Vector Machine (SVM) is a well-known machine learning classification algorithm, which has been widely applied to many data mining problems, with good accuracy. However, SVM classification speed decreases with increase in dataset size. Some applications, like video surveillance and intrusion detection, requires a classifier to be trained very quickly, and on large datasets. Hence, this paper introduces two filter-based instance selection techniques for optimizing SVM training speed. Fast classification is often achieved at the expense of classification accuracy, and some applications, such as phishing and spam email classifiers, are very sensitive to slight drop in classification accuracy. Hence, this paper also introduces two wrapper-based instance selection techniques for improving SVM predictive accuracy and training speed. The wrapper and filter based techniques are inspired by Cuckoo Search Algorithm and Bat Algorithm. The proposed techniques are validated on three popular e-fraud types: credit card fraud, spam email and phishing email. In addition, the proposed techniques are validated on 20 other datasets provided by UCI data repository. Moreover, statistical analysis is performed and experimental results reveals that the filter-based and wrapper-based techniques significantly improved SVM classification speed. Also, results reveal that the wrapper-based techniques improved SVM predictive accuracy in most cases.