• 재활복지
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• v.20 no.4
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• pp.177-201
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• 2016

The purpose of this study is to develop systematical components and implementation of rehabilitation physical activity by analyzing the relative importance among each factor. To achieve the purpose of this study, 20 participants were selected, and they consisted of instructors and adapted physical activity teachers and professional who have experiences in institutes and hospital where have operate program related to rehabilitation physical activity and adapted physical activity program. Delphi technique was conducted for three times by the participants. For the decision of priorities about improvement factors, AHP was performed. The results were as follows. As the result of this study, the factors of the rehabilitation physical activity consisted of six type of exercise; fitness, psychological exercise, aquatic exercise, sense & perception exercise, ambulatory exercise, and motor skills. Also, 21 sub-factors were also extracted. The result from analyzing the priorities of factors was fitness 33.2%, aquatic exercise 20.6%, psychological exercise 16.3%, sense & perception exercise 11.7%, ambulatory exercise 10.8% and motor skills 8.6%. Also, among results from the weighted state of priority factors, muscular strength and endurance were the most importance factor which had 23.4% weighting, and meditation was the least importance factor which had 0.5% weighting.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.774-779
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• 2012

Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2245-2254
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• 2013

A vulnerability index was developed for drought by using trend analysis and Delphi method. Twelve indicators were selected based on three groups, i.e., hydrological, meteorological, and humanistic groups. Data were collected from Nakdong river watershed. Three trend tests, i.e., Mann-Kendall, Hotelling-Pabst, and Sen's trend tests, were performed for standardizing the indicators and Delphi method was used to estimate the weights for individual indicators. The drought vulnerability index was calculated for seven regions in the Nakdong watershed and Hapcheon turned out to be the most vulnerable region among the study regions. The drought vulnerability index developed in this study can be applied to other regions in Korea for establishing national water resources management plan.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.664-671
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• 2012

Recently, practice education using virtual medical simulation has been applied to real clinical environment by enhancing the learning efficiency. Specially, in minimally invasive surgery, the necessity of virtual surgery medical simulation has been increased. Realistic bleeding animation, which represents bleeding special effects frequently occurred in virtual medical simulation environment, has not been proposed yet. In this paper, we propose realistic real-time bleeding animation. For bleeding simulation, proposed method calculates main and effective bleeding regions along the main bleeding direction vector to represent naturalistic bleeding effect. In addition, for bleeding rendering, proposed method uses sigmoid function to impose weights of vertex opacities for the smooth opacity change so that the results of bleeding animation is realistic. Proposed method improves the sense of the real and absorption in virtual surgery medical simulation so that the education efficiency of doctors and students using medical simulation can be enhanced.

• Journal of Korea Multimedia Society
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• v.14 no.9
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• pp.1175-1181
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• 2011

Practice education using virtual medical simulation has been recently introduced to maximize the learning efficiency in clinical environment. Specially, in minimally invasive surgery, the necessity of virtual surgery medical simulation has been substantially increased. Since cauterizing effect occurred frequently in minimally invasive surgery has been represented by simple bleeding, realistic cauterizing effect animation has not been proposed yet. In this paper, we propose realistic real-time cauterizing effect animation. Proposed method changes the individual element of each vertex color of the mesh and uses sigmoid function to impose weights for the smooth color change inside the valid mesh region so that the results of cauterizing effect animation was realistic. In addition, by proposing cauterizing color buffer, overlapped cauterizing effects can be realistically represented. Proposed method greatly improves the sense of the real and absorption in virtual surgery medical simulation so that the education efficiency of doctors and students using medical simulation can be maximized.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.45-52
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• 2017

Drifter is an equipment for observing the characteristics of seawater in the ocean, and it can be used to predict effluent oil diffusion and to observe ocean currents. In this paper, we design models or the prediction of drifter trajectory using machine learning. We propose methods for estimating the trajectory of drifter using support vector regression, radial basis function network, Gaussian process, multilayer perceptron, and recurrent neural network. When the propose mothods were compared with the existing MOHID numerical model, performance was improve on three of the four cases. In particular, LSTM, the best performed method, showed the imporvement by 47.59% Future work will improve the accuracy by weighting using bagging and boosting.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.227-243
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• 2008

This study investigates an event detection method with the aim of generating an event-focused news summary from a set of news articles on a certain event using a multi-document summarization technique. The event detection method first classifies news articles into the event related topic categories by employing a SVM classifier and then creates event clusters containing news articles on an event by a modified single pass clustering algorithm. The clustering algorithm applies a time penalty function as well as cluster partitioning to enhance the clustering performance. It was found that the event detection method proposed in this study showed a satisfactory performance in terms of both the F-measure and the detection cost.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.215-215
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• 2015

SWG(Smart Water Grid)는 한정적인 수자원을 효율적으로 이용하고 사용자 입맛에 맞춰 물을 안정적으로 공급하고자 하는 양방향 개념으로 수자원 분야에서 각광받는 실정이다. SWG의 성능을 평가하는 연구사례는 많지 않으며 현재 국내의 경우 실증단지를 구축하고 있는 단계이다. 그러므로 성능평가를 수행하기 위한 실측자료가 부재하므로 성능평가 지표선정에 활용 할 수 있는 자료가 제한적이다. 따라서 미국의 Leed, 영국의 BREEAM, 일본의 CASBEE, 호주의 Green Star의 인증 기준에서 수자원에 대한 항목과 기존의 IWA, World Bank, AWWA, JWWA, OFWAT 같은 해외 상수도 수행능 지표와 상수도 및 정수장 기술진단에서 제시하는 기준을 바탕으로 성능평가지표를 선정 보완하여 Water Facility Index, Smart Index, Optimum System Index로 분류하여 각 세부의 성능평가지표를 선정하였다. 선정된 지표는 AHP기법를 활용하여 1-4단계에 걸쳐 계층화를 실시하고 Bottom-up방식으로 4단계에서부터 1단계로 평가를 진행하도록 구성했다. 4단계에서는 계층 별 쌍대비교 결과를 바탕으로 중요도에 따른 가중치를 부여하고 차등 점수를 적용하며, 이는 3단계에서 필수적으로 만족해야하는 지표들을 설정하고 평가하기 위해 사용된다. 3단계에서는 지표평가 후 "보통" 이상의 점수를 획득해야 2단계로 진행할 수 있고, 2단계에서는 3가지 큰 지표를 설정 후 총점 기준 60%이상의 최소득점 기준을 만족해야 1단계로 진행할 수 있도록 구성했다. 이러한 절차를 바탕으로 마지막 1단계에서는 100점을 만점으로 하는 6단계의 최종성능을 평가하는 결과를 제시할 수 있다. 본 연구에서는 국외 성능평가 사례 중 SWG와 관련된 지표를 구성하여 성능평가를 수행할 수 있는 기법을 제안하였다. 향후 지속적인 연구 진행 결과와 실측자료를 수집하여 수정 및 보완이 수행될 예정이다.

• Journal of Nutrition and Health
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• v.44 no.1
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• pp.49-60
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• 2011

This study was performed to develop a children's dietary life safety index required by the Special Act on Safety Management of Children's Dietary Life enacted in 2009. An analytical hierarchy process was used to obtain initial weights of dietary life safety evaluation indicators. The Delphi method was applied to develop the weights along with 98 food and nutrition professionals. Three representative policy indicators, nine strategy indicators, 11 main evaluation indicators, and 20 detailed evaluation indicators were selected for the children's dietary life safety assessment. Three policy indicators and nine strategy indicators were the following: children's food safety indicator (support level of children' safety, safety management level of children's favorite foods, and safety management level of institutional food service), children's nutrition safety indicator (management level of missing meals and obesity, nutrition management level of children's favorite foods, and nutrition management level of institutional food service), and children's perception and practice level indicator ("Dietary Life Law" perception level, perception, and practice level for dietary life safety management, perception, and practice level for nutrition management). Weights of 40%, 40%, and 20% were given for the three representative policy indicators. The relative importance of nine strategic indicators, which were determined by the Delphi method is as follows: For children’s food safety, support level of children's safety, safety management level of children's favorite foods, and safety management level of institutional food service were given weights of 12%, 9%, and 19%, respectively. For children's nutrition safety, the missing meals and obesity management level, nutrition management level of children's favorite foods, and the nutrition management level of institutional food service were given weights of 13%, 11%, and 16%, respectively. The "Dietary Life Law" perception level, perception and practice level of dietary life safety management, and perception and practice level of nutrition management were given weights of 4%, 7%, and 9%, respectively.

• Journal of KIISE:Software and Applications
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• v.30 no.9
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• pp.862-866
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• 2003

Traveling Salesman Problem(TSP) is a combinational optimization problem, Genetic Algorithm(GA) and Lin-Kernighan(LK) Heuristic［1］that is Local Search Heuristic are one of the most commonly used methods to resolve TSP. In this paper, we introduce ACS(Ant Colony System) Algorithm as another approach to solve TSP and propose a new pheromone updating method. ACS uses pheromone information between cities in the Process where many ants make a tour, and is a method to find a optimal solution through recursive tour creation process. At the stage of Global Updating of ACS method, it updates pheromone of edges belonging to global best tour of created all edge. But we perform once more pheromone update about created all edges before global updating rule of original ACS is applied. At this process, we use the frequency of occurrence of each edges to update pheromone. We could offer stochastic value by pheromone about each edges, giving all edges' occurrence frequency as weight about Pheromone. This finds an optimal solution faster than existing ACS algorithm and prevent a local optima using more edges in next time search.