• Title/Summary/Keyword: Computer Training

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A Distribution Automation System Simulator for Training and Research

  • Gupta R. P.;Srivastava S. C.
    • KIEE International Transactions on Power Engineering
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    • v.5A no.2
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    • pp.159-170
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    • 2005
  • This paper presents the design and development of a scaled down physical model for power Distribution Automation (DA) system simulation. The developed DA system simulator is useful in providing hands-on experience to utility engineers / managers to familiarize with the DA system and gain confidence in managing the power distribution system from the computer aided distribution control center. The distribution automation system simulator can be effectively used to carry out further research work in this area. This also helps the undergraduate and graduate students to understands the power distribution automation technology in the laboratory environment. The developed DA simulator has become an integral part of a distribution automation lab in the Electrical Engineering Department at Indian Institute of Technology Kanpur in India.

A Spatiotemporal Parallel Processing Model for the MLP Neural Network (MLP 신경망을 위한 시공간 병렬처리모델)

  • Kim Sung-Oan
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.95-102
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    • 2005
  • A Parallel Processing model by considering a spatiotemporal parallelism is presented for the training procedure of the MLP neural network. We tried to design the flexible Parallel Processing model by simultaneously applying both of the training-set decomposition for a temporal parallelism and the network decomposition for a spatial parallelism. The analytical Performance evaluation model shows that when the problem size is extremely large, the speedup of each implementation depends, in the extreme, on whether the problem size is pattern-size intensive or pattern-quantify intensive.

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An Acceleration Sensor type Game System for Spine Training (척추 운동을 위한 가속도 센서 타입 게임시스템의 기초연구)

  • Jung, HwaYoung;Min, Se Dong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.365-368
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    • 2013
  • 최근 센서기술과 스마트폰의 융합을 통한 다양한 건강 모니터링을 할 수 있는 기능의 시스템 개발이 대두되고 있다. 본 논문에서는 3축 가속도 센서와 안드로이드향의 스마트폰 어플리케이션을 이용하여 척추 관련 질환을 가진 환자들이 게임을 통해 허리운동을 할 수 있는 시스템을 개발하기 위한 기초 연구이다. 제안된 시스템은 척추 주변에 착용할 수 있는 두 개의 3축 가속도 센서와 센서 데이터를 무선으로 전송할 수 있는 블루투스 모듈 그리고 허리운동용 스마트폰 게임으로 구성되어 진다. 현재 척추예방을 위한 여러 운동방법들이 존재하지만 본 시스템은 게임을 즐길 수 있도록 엔터테이먼트적인 요소를 가미함으로써 운동강도의 적당성과 언제든지 허리 운동을 할 수 있는 환경을 조성하는 데에 활용될 것으로 판단된다.

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The training of convolution neural network for advanced driver assistant system

  • Nam, Kihun;Jeon, Heekyeong
    • International Journal of Advanced Culture Technology
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    • v.4 no.4
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    • pp.23-29
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    • 2016
  • In this paper, the learning technique for CNN processor on vehicle is proposed. In the case of conventional CNN processors, weighted values learned through training are stored for use, but when there is distortion in the image due to the weather conditions, the accuracy is decreased. Therefore, the method of enhancing the input image for classification is general, but it has the weakness of increasing the processor size. To solve this problem, the CNN performance was improved in this paper through the learning method of the distorted image. As a result, the proposed method showed improvement of approximately 38% better accuracy than the conventional method.

Empirical Closed Loop Modeling of a Suspension System Using Neural Network (신경회로망을 응용한 현가장치의 폐회로 시스템 규명)

  • Kim, I.Y.;Chong, K.T.;Hong, D.P.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.7
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    • pp.29-38
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    • 1997
  • A closed-loop system modeling of an active/semiactive suspension system has been accomplished through an artificial neural network. A 7DOF full model as a system's equation of motion has been derived and an output feedback linear quadratic regulator has been designed for control purpose. A training set of a sample data has been obtained through a computer simulation. A 7DOF full model with LQR controller simulated under several road conditions such as sinusoidal bumps and rectangular bumps. A general multilayer perceptron neural network is used for dynamic modeling and target outputs are fedback to the a layer. A backpropagation method is used as a training algorithm. Model validation of new dataset have been shown through computer simulations.

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Recognition of Road Direction for Magnetic Sensor Based Autonomous Vehicle (자기센서 기반 자율주행차량의 도로방향 인식)

  • 유영재;김의선;김명준;임영철
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.9
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    • pp.526-532
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    • 2003
  • This paper describes a recognition method of a road direction for an autonomous vehicle based on magnetic sensors. Using the sensors mounted on a vehicle and the magnetic markers embedded along the center of road, the autonomous vehicle can recognize a road direction and control a steering angle. Using the front lateral deviation of a vehicle and the rear one, the road direction is calculated. The analysis of magnetic field, the acquisition technique of training data, the training method of neural network and the computer simulation are presented. According to the computer simulation, the proposed method is simulated, and its performance is verified. Also, the experimental test is confirmed its reliability.

Dynamic Neural Units and Genetic Algorithms With Applications to the Control of Unknown Nonlinear Systems (미지의 비선형 시스템 제어를 위한 DNU와 GA알고리즘 적용에 관한 연구)

  • XiaoBing, Zhao;Min, Lin;Cho, Hyeon-Seob;Jeon, Jeong-Chay
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2486-2489
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    • 2002
  • Pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our method is different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its training.

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The Effect of the Factors of Introducing Information Technology on Non-Financial Performance

  • Lim, Kil-Jae;Yi, Seon-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.12
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    • pp.107-113
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    • 2015
  • This study analyzed the effect of the factors of introducing information technology(organizational and environmental characteristics) on non-financial performance. As detailed variables of each characteristic, the technical support/task force, users' IT capability, and education/training were used for the organizational characteristics while the degree of competition, external pressure, and uncertainty of environment were used for the environmental characteristics. In the results of the analysis, such factors like technical support/task force, users' IT capability, and education/training of the organizational characteristics had significant influence on non-financial performance. Also, factors such as degree of competition, external pressure, and uncertainty of environment of the environmental characteristics had significant influence on non-financial performance.

Development of tactical training control program using laser launcher (레이저 발사기를 활용한 전술훈련 통제용 프로그램 개발)

  • Kang, Changa-Hoon;Ahn, Woo-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.07a
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    • pp.427-428
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    • 2017
  • 현재 사격 및 전술훈련에 반드시 필요한 실전적인 소대급 이하에 적용 가능한 범용의 특화된 레이저 발사기를 활용한 사격 및 전술훈련 시스템의 개발이 필요하다고 볼 수 있다. 본 연구에서는 사격 및 전술훈련에 필요한 개발 규격 및 사양은 군부대 표준규격을 적용하고, 개발 제품에 대한 성능평가는 군부대 및 경찰사격장 및 전술훈련장에 설치하여 사용자 요구사항을 기준으로 테스트 및 평가하여, 소대급 이하 전문 사격 및 전술훈련용 장비를 개발한다. 실질적인 소대급 이하 사격 및 전술훈련용으로 레이저 발사기, 격발장치, 감적장치, 각종 제어모듈 개발을 통하여 유 무선 송수신을 체계화하여 통합 제어 시스템을 구축함으로써, 실제 총기에 레이저 발사기를 부착하여 사격 및 전술훈련용으로 다양한 기술 확보를 통하여 관련 시장 선점 및 관련 산업활성화에 기대할 것으로 전망된다.

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Nursing Training Simulation Based on Virtual Reality (가상현실 기반 간호 훈련 시뮬레이션)

  • Shin, Uoo-Chul;Song, Eun-Jee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.715-716
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    • 2015
  • 최신 IT 기술 변화의 중심점에 있는 3D 가상현실이란, 어떤 특정한 환경이나 상황을 컴퓨터로 만들어서, 그것을 사용하는 사람이 마치 실제 주변 상황 환경과 상호작용을 하고 있는 것처럼 만들어 주는 인간-컴퓨터 사이의 인터페이스를 하는 컴퓨터 프로그래밍 기법이다. 이처럼 무한한 가능성을 가진 3D 가상현실을 이용한 여러 가지 프로젝트가 쏟아져 나오고 있다. 현재 의학에 관한 실습 지식을 배우는데 있어서 장비 및 상황이 여의치 않은 경우가 많다. 위와 같은 필요성을 기본으로 하여, 본 논문에서는 가상현실을 기반으로 만든 간단한 의학시술 과제를 통해 교육생들이 실습해보고 기본적인 실습 흐름 및 의학 지식을 습득할 수 있는 간호 교육 시뮬레이션을 개발하였다. 환자의 상태와 병명을 표기해주며 위 환자에게 투여할 수 있는 약에 대한 선택을 교육생에게 주어준다. 교육생은 환자에게 투여할 약을 선택하고 투약할 약의 양을 조절하며, 마지막으로 투약하는 방법에 대해서 선택지를 통해 선택한다. 가상현실을 통해 몰입감을 높일 수 있어 간호교육에 효율적이다.

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