• Environmental Engineering Research
• /
• v.14 no.2
• /
• pp.111-119
• /
• 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.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.48 no.8
• /
• pp.631-640
• /
• 2020

Currently, aircraft simulator has drawn a great attention because it has significant advantages of economic, temporal, and spatial costs compared with pilot training with real aircraft. Among the components of the aircraft simulator, flight dynamic model plays a key role in simulating the flight of an actual aircraft. Hence, it is important to verify the fidelity of flight dynamic model with an automated tool. In this paper, we develop a software to automatically verify the fidelity of the flight mechanics model for the efficient development of the aircraft simulator. After designing the software structure and GUI based on the requirements derived from the fidelity verification process, the software is implemented with C # language in Window-based environment. Experimental results on CTSW models show that the developed software is effective in terms of function, performance and user convenience.

• CELLMED
• /
• v.2 no.3
• /
• pp.24.1-24.5
• /
• 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
• /
• 1998.10a
• /
• pp.105-110
• /
• 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)
• /
• v.17 no.4
• /
• pp.1200-1215
• /
• 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.

• Journal of the Korea Convergence Society
• /
• v.10 no.11
• /
• pp.111-116
• /
• 2019

With recent rapid development of computer capabilities, various technologies that can facilitate the interaction between humans and computers are being studied. The paradigm tends to change to NUI using the body such as 3D motion, haptics, and multi-touch with GUI using traditional input devices. Various studies have been conducted on transferring human movements to computers using sensors. In addition to the development of optical sensors that can acquire 3D objects, the range of applications in the industrial, medical, and user interface fields has been expanded. In this paper, I provide a model that can execute other programs through gestures instead of the mouse, which is the default input device, and control Windows based on the lip motion. To propose a model which converges with an Android application and can be controlled by various media and voice instruction functions using voice recognition and buttons through connection with a main client. It is expected that Internet media such as video and music can be controlled not only by a client computer but also by an application at a long distance and that convenient media viewing can be performed through the proposal model.

• Korean Management Science Review
• /
• v.18 no.2
• /
• pp.125-134
• /
• 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.

• Journal of Information Technology Services
• /
• v.8 no.4
• /
• pp.201-214
• /
• 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.

• Journal of Society of Preventive Korean Medicine
• /
• v.20 no.3
• /
• pp.55-65
• /
• 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)
• /
• v.6 no.9
• /
• pp.2370-2387
• /
• 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.