• Title/Summary/Keyword: T-Map

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A Study on the Effect of Acupuncture on Anesthesia and the Mode of Action (The First Report) - Focused on Brain Mapping - (자침(刺鍼)이 마취(痲醉)에 미치는 작용기전(作用機轉) 연구(硏究) (제(第) 1 보(報)) - 뇌파를 중심으로 -)

  • Park, Hee-soo;Park, Kyoung-sik
    • Journal of Acupuncture Research
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    • v.19 no.4
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    • pp.132-139
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    • 2002
  • This study was carried to identify whether acupuncture at several meridian points can affect the human anesthesia or not using the EEG mapping. We observe the change in the brain wave patterns obtained by electroencephalogram after acupuncture. 1. It is concluded that the pattern of resting computerized EEG map in intact human is normal and acupunctuation at determined meridian points induced lesser narrow field of alpha activity, more extensive field of ${\delta}$, ${\theta}$ activity, father resulted in marked shift to cerebrofrontal dominance in field of ${\delta}$, ${\theta}$ activity by t-SPM. 2. It seems likely that acupunctuation at experimental meridian points acts on slight anesthesia or hypnosis.

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Development and Optimal Operation of an Electro-Hydraulic Controlled Rig Type CVT (전자유압제어식 리그형 CVT 개발과 최적운전)

  • Kim, K.W.;Kwon, H.B.;Kim, H.S.;Eun, T.;Park, C.I.
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.9
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    • pp.2181-2190
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    • 1993
  • An electro-hydraulic controlled rig type CVT(Continuously Variable Transmission) system was developed and its performance tests were carried out for the optimal operation. A CVT map was suggested based on the speed ration-axial force-torque relationship which was derived from the metal belt CVT mechanics. Also, a real time control and operation software was developed for the electro-hydraulic CVT system. By using the software and the CVT map, the control system was designed for the CVT speed ratio control with various drive modes. The electro-hydraulic CVT system developed in this study showed that the optimal operation algorithm could be obtained for the best fuel economy or the maximum power mode.

ON FARTHEST POINTS IN METRIC SPACES

  • Narang, T.D.
    • The Pure and Applied Mathematics
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    • v.9 no.1
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    • pp.1-7
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    • 2002
  • For A bounded subset G of a metric Space (X,d) and $\chi \in X$, let $f_{G}$ be the real-valued function on X defined by $f_{G}$($\chi$)=sup{$d (\chi, g)\in:G$}, and $F(G,\chi)$={$z \in X:sup_{g \in G}d(g,z)=sup_{g \in G}d(g,\chi)+d(\chi,z)$}. In this paper we discuss some properties of the map $f_G$ and of the set $ F(G, \chi)$ in convex metric spaces. A sufficient condition for an element of a convex metric space X to lie in $ F(G, \chi)$ is also given in this pope.

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A Study on Multiobjective Genetic Optimization Using Co-Evolutionary Strategy (공진화전략에 의한 다중목적 유전알고리즘 최적화기법에 관한 연구)

  • Kim, Do-Young;Lee, Jong-Soo
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.699-704
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    • 2000
  • The present paper deals with a multiobjective optimization method based on the co-evolutionary genetic strategy. The co-evolutionary strategy carries out the multiobjective optimization in such way that it optimizes individual objective function as compared with each generation's value while there are more than two genetic evolutions at the same time. In this study, the designs that are out of the given constraint map compared with other objective function value are excepted by the penalty. The proposed multiobjective genetic algorithms are distinguished from other optimization methods because it seeks for the optimized value through the simultaneous search without the help of the single-objective values which have to be obtained in advance of the multiobjective designs. The proposed strategy easily applied to well-developed genetic algorithms since it doesn't need any further formulation for the multiobjective optimization. The paper describes the co-evolutionary strategy and compares design results on the simple structural optimization problem.

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Network Analysis for Estimating Reach Time of Emergency Vehicles in Gumi City (구미시내 긴급차량의 도달시간 산정을 위한 Network해석)

  • Lee, Jin-Duk;Park, Min-Cheol;Park, Hui-Yeong;Kang, So-Hui
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.363-365
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    • 2010
  • In this study, based on numerical map GIS-T Dataset build and by using ArcGIS Network Analysis emergency vehicle's reach time were analyzed. AutoCad using 1: 50,000 based on roads and hospitals of numerical map were creating a Polyline and Point and Network Dataset made using ArcCatalog. ArcGIS Analysis setting the interval for the period reached 3 minutes, 5 minutes, 15 minutes was set and then U-Turn was set to not allow because U-turn takes a long time to calculate and does not happen often on the real road. Intersection of the passage of time, considering that the emergency vehicles were set to 3 seconds. To expand by taking advantage of this facility on Vulnerable area will be used as base material. If we focus on analyzing the emergency activity to convert little data, To prepare for disaster and disaster will be able to use the materials.

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The Assessment of Water Pollution Accident on Dam Watershed using GIS (GIS에 의한 댐 유역 수질오염사고 평가)

  • Myeong, Gwang Hyeun;Jeong, Jong Chul
    • Journal of Environmental Impact Assessment
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    • v.20 no.4
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    • pp.489-496
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    • 2011
  • The water pollution such as oil spill from stream and river because of car accidents have been frequent cases in the watershed of Dam. However we don't have any simulation methods about flow modeling on the watershed and stream tree. In this study aims to analyze water pollution accidents area on impact range for ANDONG-Dam. The focused watershed and the risk range of path analysis model was designed by GIS database. The frequency of transportation accidents which may occur from road accidents in the level of quantitative and qualitative analysis to map flow analysis using ArcHydro Model and Open Geospatial Consortium(OGC) API. and the path way from the accident point to the reservoir stayed on the path was simulated. The area of risk accessment index was displayed with cell and grid of dam area.

Development of Data Mining System for Ship Design using Combined Genetic Programming with Self Organizing Map (유전적 프로그래밍과 SOM을 결합한 개선된 선박 설계용 데이터 마이닝 시스템 개발)

  • Lee, Kyung-Ho;Park, Jong-Hoon;Han, Young-Soo;Choi, Si-Young
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.6
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    • pp.382-389
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    • 2009
  • Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.

Application of EO-1 HYPERION Data to Classifying Geological Materials

  • Choe, E.Y.;Yoon, W.J.;Kang, M.K.;Kim, T.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.576-578
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    • 2003
  • Hyperspectral image divides VNIR region to over 200 bands which can show continuous spectrum with 10 nm spectral resolution. This property is useful in geology where a spectral feature which is decided by chemical compositions and crystalline structures is recorded well. While this field has been studied variously in foreign countries, the studies are in the early stage in Korea. In this study, characteristic materials associated with AMD were classified by using EO-1 HYPERION data which is a spaceborne hyperspectral image and topographical map and DEM and geochemical map were analyzed in conjunction with the image in order to examine that classified minerals are secondary minerals by AMD.

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Korean Phoneme Recognition by Combining Self-Organizing Feature Map with K-means clustering algorithm

  • Jeon, Yong-Ku;Lee, Seong-Kwon;Yang, Jin-Woo;Lee, Hyung-Jun;Kim, Soon-Hyob
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1994.06a
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    • pp.1046-1051
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    • 1994
  • It is known that SOFM has the property of effectively creating topographically the organized map of various features on input signals, SOFM can effectively be applied to the recognition of Korean phonemes. However, is isn't guaranteed that the network is sufficiently learned in SOFM algorithm. In order to solve this problem, we propose the learning algorithm combined with the conventional K-means clustering algorithm in fine-tuning stage. To evaluate the proposed algorithm, we performed speaker dependent recognition experiment using six phoneme classes. Comparing the performances of the Kohonen's algorithm with a proposed algorithm, we prove that the proposed algorithm is better than the conventional SOFM algorithm.

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