• Environmental Engineering Research
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• 제14권2호
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• pp.111-119
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• 2009

A prototype GIS-based decision support system (DSS) was developed by using a database management system (DBMS), a model management system (MMS), a knowledge-based system (KBS), a graphical user interface (GUI), and a geographical information system (GIS). The method of selecting a dispersion model or a modeling scheme, originally devised by Park and Seok, was developed using our GIS-based DSS. The performances of candidate models or modeling schemes were evaluated by using a single index(statistical score) derived by applying fuzzy inference to statistical measures between the measured and predicted concentrations. The fumigation dispersion model performed better than the models such as industrial source complex short term model(ISCST) and atmospheric dispersion model system(ADMS) for the prediction of the ground level $SO_2$ (1 hr) concentration in a coastal area. However, its coincidence level between actual and calculated values was poor. The neural network models were found to improve the accuracy of predicted ground level $SO_2$ concentration significantly, compared to the fumigation models. The GIS-based DSS may serve as a useful tool for selecting the best prediction model, even for complex terrains.

• 한국항공우주학회지
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• 제48권8호
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• pp.631-640
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• 2020

현재 항공기 시뮬레이터는 실제 항공기를 이용한 조종사 훈련에 비해 경제적, 시간적 및 공간적 비용 측면에서 상당한 이점을 가지고 있어서 많은 관심을 받고 있다. 항공기 시뮬레이터의 구성 요소 중 비행역학 모델은 실제 항공기의 비행을 모의하는데 중요한 역할을 한다. 따라서 자동화된 도구를 사용하여 비행역학 모델의 충실도를 검증하는 것은 중요한 의미를 지닌다. 본 논문에서는 항공기 시뮬레이터의 효율적인 개발을 위하여 비행역학 모델의 충실도를 자동 검증하는 소프트웨어를 개발한다. 충실도 검증 프로세스로부터 도출된 요구사항에 대하여 소프트웨어 구조 및 GUI를 설계한 다음 Window 기반 환경에서 C# 언어를 이용하여 소프트웨어를 구현한다. CTSW 기종에 대한 실험 결과는 개발된 소프트웨어가 기능 및 성능, 그리고 사용자 편의성 측면에서 효과적임을 보여준다.

• 셀메드
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• 제2권3호
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• pp.24.1-24.5
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• 2012

Obesity is psychological and socioeconomic problems as well as health problems related to physical disease and disorder. The obesity epidemic, including a marked increase in the prevalence of obesity among pregnant women, represents a critical public health problem throughout the world. Gung-Gui-Tang (GGT), a prescription of traditional Korean medicine, has been used to treat dizziness due to loss of blood as well as static blood after childbirth. However, the therapeutic potential of GGT on postpartum obesity has not been fully elucidated in an experimental model. In our research, GGT inhibited the increases of body weight and adipose tissues in postpartum mice fed a high-fat diet. GGT also inhibited the elevations of plasma lipid profiles such as triglyceride, low-density lipoprotein cholesterol, total cholesterol, and glutamate pyruvate transaminase. Overall, these results provide evidence that GGT can help to inhibit postpartum obesity and open new perspective to recover the shape of mother into the moment of conception.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.105-110
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• 1998

This paper proposes a graphical user interface for industrial robot systems. Previous user interfaces for industrial robot systems were based on the text. In order to enable operators to handle robots more efficiently, a set of graphical tools is provided. The graphical tools contain a control panel for operating robots and compiling robot programs, a graphical teaching panel for handling virtual robots and a graphical monitoring panel for checking robot status. Furthermore, the proposed GUI can be used to operate remote robots because it has network utilities. This system consists of the virtual mode and the real mode. The user can handle a 3D virtual solid model of the robot in the virtual mode and an actual robot in the real mode.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권4호
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• pp.1200-1215
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• 2023

With the development of IoT and artificial intelligence, location-based services are getting more and more attention. For solving the current problem that indoor positioning error is large and generalization is poor, this paper proposes a Model Stacking Algorithm for Indoor Positioning System using WiFi fingerprinting. Firstly, we adopt a model stacking method based on Bayesian optimization to predict the location of indoor targets to improve indoor localization accuracy and model generalization. Secondly, Taking the predicted position based on model stacking as the observation value of particle filter, collaborative particle filter localization based on model stacking algorithm is realized. The experimental results show that the algorithm can control the position error within 2m, which is superior to KNN, GBDT, Xgboost, LightGBM, RF. The location accuracy of the fusion particle filter algorithm is improved by 31%, and the predicted trajectory is close to the real trajectory. The algorithm can also adapt to the application scenarios with fewer wireless access points.

• 한국융합학회논문지
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• 제10권11호
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• pp.111-116
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• 2019

최근 컴퓨터 능력의 급속한 발전으로 인간과 컴퓨터간의 상호 작용을 편리하게 연결할 수 있는 많은 기술들이 연구되고 있는 상황으로, 전통적인 입력장치를 사용한 GUI에서 3D 모션, 햅틱, 멀티 터치와 같은 신체를 이용한 NUI로 패러다임이 변화되고 있는 추세이다. 인간의 동작을 센서를 이용하여 컴퓨터에 전달하는 많은 연구가 이루어지고 있으며, 3D 객체를 획득할 수 있는 광학 센서의 개발과 더불어 산업 및 의료 분야, 사용자 인터페이스 분야 등으로 응용 범위가 확장되고 있다. 본 논문에서는 립모션을 기반으로 사용자의 손동작에 따라 기본 입력장치인 마우스를 대신하여 제스처를 통한 타 프로그램 실행 및 윈도우즈 제어가 가능하며, 안드로이드 앱과 융합하여 메인 클라이언트와 연결을 통하여, 음성인식과 버튼을 사용해 각종 미디어와 음성 명령 기능을 통한 제어가 가능한 모델을 제안한다. 제안 모델을 통하여 영상, 음악과 같은 인터넷 미디어를 클라이언트 컴퓨터 뿐만 아니라 앱을 통한 원거리 제어가 가능하여, 편리하게 미디어를 시청할 수 있을 것으로 기대된다.

• 경영과학
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• 제18권2호
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• pp.125-134
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• 2001

This paper is concerned with the development of a GIS-based distribution system with service consideration. The proposed model could be used for a wide range of logistics applications in planning, engineering and operational purpose for logistics system. This research addresses the formulation of those complex prob1ems of two-echelon logistics system to plan the incorporating supply center locations and distribution problems based on GIS. We propose an integrated logistics model for determining the optimal patterns of supply centers and inventory allocations (customers) with a three-step sequential approach. 1) First step, Developing GIS-distance model and stochastic set-covering program to determine Optimel pattern of supply center location. 2) Second step, Optimal sector-clustering to support customers. 3) Third step, Optimal vehicle rouse scheduling based on GIS, GIS-VRP In this research we developed GUI-tree program, the GIS-VRP provide the vehicle to users and freight information in real time. We applied a set of sample examples to this model and demonstrated samp1e results. It has been found that the proposed model is potentially efficient and useful in solving multi-depot problem through examples. However the proposed model can provide logistics decision makers to get the best supply schedule.

• 한국IT서비스학회지
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• 제8권4호
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• pp.201-214
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• 2009

Today many corporations converge clients' needs and IT technology, and then they are developing new service model in order to survive global situation. The changes of manufacturing industry from simple manufacture to industry for focus on services is getting speeded up, because not only growth of service part but also enlargement in creating value in services is expected. And services through collaboration with knowledge based service and only manufacturing industry is important. In this situation, this thesis is willing to propose methodology for Inter-Industry Collaboration Service Model. The proposed methodology includes procedures which develops service model, plans for Inter-Industry Collaboration Service Model and evaluating framework. Also, this applied case studies. I look forward to offering useful guideline on the proposed methodology in this study to corporations that try to create new service model through Inter-Industry Collaboration Service Model.

• 대한예방한의학회지
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• 제20권3호
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• pp.55-65
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• 2016

Objectives : Mibyeong is a korea medicine have original concept of the disease. However, no previous report has effect of mibyeong herbal medicine in fatigue types of mibyeong. This study investigated the question of whether Dang Gui Bo Hyul-tang(DGBHT) of effect on fatigue types of Mibyeong. Methods : C57BL/6 mice were randomaly divided into three group (n=10). The mice were then group (1) Nocontrol, (2) Restraunt stress(veh), (3) Dang Gui Bo Hyul-tang 200mg/kg. The administered Dang Gui Bo Hyul-tang 200mg/kg or distilled water (orally) 1 hr prior to daily exposure to repeated restraint stress (2 h) for 15 days. The performed behavior test (Mechanical hyperalgesia test,, Open-field test, Forced swimming test, Sucrose preference test and immunostaining and biochemical measured in serum. Results : Stress fatigue induced mices significantly increased lethargic, hyperalgesia through behavior test (Mechanical hyperalgesia test (decrease 43%), Open-field test ($4,809{\pm} 226.13cm$ vs. $3121{\pm}226.64cm$), Forced swimming test ($11.45{\pm}3.96$ vs. $79.10{\pm}8.12sec$), Sucrose preference test (decrease 58%)). In addition, chronic fatigue model evidently increased corticosterone level ($122.54{\pm}18.88$ vs. $186.94{\pm}18.26ng/ml$), AST level ($46.22{\pm}3.23$ vs. $31.40{\pm}3.86U/L$), ALT level ($38.78{\pm}5.72$ vs. $17.60{\pm}1.30$), liver necrosis, lateral ventricle size. These alterations were significantly ameliorated by DGBHT. DGBHT significantly attend the elevated serum concentrations of corticosterone ($155.90{\pm}6.29ng/ml$), AST ($31.40{\pm}3.86U/L$), ALT ($17.60{\pm}1.30U/L$). Moreover, DGBHT improved lethargic, hyperalgesia when compared the stress fatigue (Mechanical hyperalgesia test (improve 28%), Open-field test ($4,038{\pm}615.81cm$), Forced swimming test ($7.56{\pm}1.88sec$), Sucrose preference test (increase 21%) Conclusions : Theses result suggest that DGBHT have improved lethargic, hyperalgesia and fatigue-associated hormone and liver protective on stress fatigue model. It will be necessary to research to present evidences on benefits and effects of Korean medical treatment for Mibyeong through clinical researches based on benefits and effects of those animal models.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2370-2387
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• 2012

A new security management model based on Rough set and Bayesian learner is proposed in the paper. The model focuses on finding out malicious nodes and getting them under control. The degree of dissatisfaction (DoD) is defined as the probability that a node belongs to the malicious node set. Based on transaction history records local DoD (LDoD) is calculated. And recommended DoD (RDoD) is calculated based on feedbacks on recommendations (FBRs). According to the DoD, nodes are classified and controlled. In order to improve computation accuracy and efficiency of the probability, we employ Rough set combined with Bayesian learner. For the reason that in some cases, the corresponding probability result can be determined according to only one or two attribute values, the Rough set module is used; And in other cases, the probability is computed by Bayesian learner. Compared with the existing trust model, the simulation results demonstrate that the model can obtain higher examination rate of malicious nodes and achieve the higher transaction success rate.