• 제목/요약/키워드: Virtual Training Data

검색결과 189건 처리시간 0.024초

Recognition of Virtual Written Characters Based on Convolutional Neural Network

  • Leem, Seungmin;Kim, Sungyoung
    • Journal of Platform Technology
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    • 제6권1호
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    • pp.3-8
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    • 2018
  • This paper proposes a technique for recognizing online handwritten cursive data obtained by tracing a motion trajectory while a user is in the 3D space based on a convolution neural network (CNN) algorithm. There is a difficulty in recognizing the virtual character input by the user in the 3D space because it includes both the character stroke and the movement stroke. In this paper, we divide syllable into consonant and vowel units by using labeling technique in addition to the result of localizing letter stroke and movement stroke in the previous study. The coordinate information of the separated consonants and vowels are converted into image data, and Korean handwriting recognition was performed using a convolutional neural network. After learning the neural network using 1,680 syllables written by five hand writers, the accuracy is calculated by using the new hand writers who did not participate in the writing of training data. The accuracy of phoneme-based recognition is 98.9% based on convolutional neural network. The proposed method has the advantage of drastically reducing learning data compared to syllable-based learning.

KTX-II 운전훈련용 시뮬레이터 추진/제동모델에 대한 연구 (A Study on Propulsion/Brake Model for KTX-II Driving Simulator)

  • 박성호;김철호;윤우경
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.1172-1178
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    • 2009
  • The Training using a simulator comes into the spotlight as effective and safety training tool in a lot of fields. Driving simulator of KTX-II is for driver's actual training using virtual reality to be improved their ability of operation against when they are faced with urgent situation and various accidents. This paper describes the construction of the propulsion and brake model for KTX-II driving simulator and the utility of the model as a result in comparison with the design data of the real train.

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알코중독 치료를 위한 Web 환경 시스템과 분석에 대한 연구 (A Study on Analysis and 3D Web Environment for the Treatment Alcoholism)

  • 백승은
    • 정보학연구
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    • 제9권1호
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    • pp.9-19
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    • 2006
  • Medications or conitive-behavior methods have been mainly used as a treatment of alcoholism. lately the virtualy technology has been applied to the kink of alcoholic disorders. A virtual environment makes him having avility to over come the drink. In this study, we were implemented by making panorama images and 3D object modules using 3D MAX, VRML, JAVA. And the BAR stimulator that composed with a position sensor, head mount display, and audio system, is suggested. To illustrate the physiological difference between a person who has a alcoholism and without a liquor bottle, heart rate was measured during experiment, and also measured a person's HR after the virtual reality training. The system measures the Physiological signals such as ECG, Temperature, analyzes those data automatically. The system has two parts, one is physiological data acquisition part which gets the body signal, and the other one is mobile nuit which includes signal processing and transmission functions, And Bluetooth allows two parts to communicate with each other. we demonstrated the subjective effectiveness of virtual reality psychotherapy through the clinical experiment.

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L-V-C 훈련체계 연동을 위한 HLA, DDS 기반의 연동 미들웨어 게이트웨이 (Interoperable Middleware Gateway Based on HLA and DDS for L-V-C Simulation Training Systems)

  • 전형국;엄영익
    • 대한임베디드공학회논문지
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    • 제10권6호
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    • pp.345-352
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    • 2015
  • Recently, by developing many training systems in battle field, the demand for interconnecting and internetworking between Live, Virtual, Constructive training systems has been increased to support efficient data distribution and system control. But, there are lots of problems for them to interwork, because the existing researches only support L-L, V-V, C-C Interoperability. Therefore, we propose L-V-C gateway to provide interoperable simulation environment based on HLA and DDS between them. First, we illustrate FOM Management that parses RPR-FOM XML file to acquire Data information to be shared between them, and generates common data structure and source code used for L-V-C Gateway. L-V-C Gateway created from FOM Management supports Data Conversion and Quality of Service between HLA and DDS. HLA Federate and DDS Domainparticipant in L-V-C Gateway play a role of logical communication channel and relay data from HLA Federation to DDS Domain and vice versa.

클라우드 컴퓨팅 기반의 가상 프로그래밍 실습 환경 구현 및 운영 관리 방안 연구 (A Study on Implementation and Operation Management of Virtual Programming Lab based on Cloud Computing)

  • 박정호;최은영
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 추계학술대회
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    • pp.578-580
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    • 2013
  • 컴퓨터 프로그래밍 실습을 위한 가상 데스크탑 서비스를 제공하기 위해서는 각 교과별로 사용자 그룹이 만들어져야 하며, 개발도구, 디스크 이미지, 사용자 계정 정보, 로그 데이터 등을 관리하기 위한 관리 프로그램이 필요하다. 본 논문에서는 대학에서 컴퓨터 프로그래밍 실습 교육에 활용할 수 있는 클라우드 컴퓨팅 기반의 가상 데스크탑 서비스 제공 방안과 효율적인 운영 관리 방안을 연구하였다. 구현된 가상 실습 환경 운영 관리 시스템을 이용하면 각 교과의 커리큘럼에 적합하게 커스토마이징 된 실습 환경을 사전에 미리 구축하여 교과별로 빠르게 프로비저닝 할 수 있다.

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VR Head Mount Display를 이용한 기초 모의비행 훈련장치 조종 훈련 효율 연구 (Flight Training Efficiency about Basic Aviation Training Device (BATD) Using VR Head Mount Display)

  • 정구문;김무겸;;이재우
    • 한국항공운항학회지
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    • 제26권2호
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    • pp.1-7
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    • 2018
  • In this paper, pilot flight training procedure of VFR (Visual Flight Rule) flight procedure was investigated through basic aviation training device (BATD) using VR HMD (Virtual Reality Head Mount Display). In order to evaluate the efficiency of the pilot training, the experimental pilot group was divided according to the similar piloting ability, then same VFR flight procedure was carried out using both the VR BATD and the conventionl BATD. The comparison of the X, Y and Z position of the aircraft from the extracted flight data was conducted. As a result, it was confirmed that the VR BATD shows better steering training efficiency tendency than the conventional BATD.

Development of Driving Simulator for Safety Training of Agricultural Tractor Operators

  • Kim, Yu-Yong;Kim, Byounggap;Shin, Seung-Yeoub;Kim, Jinoh;Yum, Sunghyun
    • Journal of Biosystems Engineering
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    • 제39권4호
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    • pp.389-399
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    • 2014
  • Purpose: This study was aimed at developing a tractor-driving simulator for the safety training of agricultural tractor operators. Methods: The developed simulator consists of five principal components: mock operator control devices, a data acquisition and processing device, a motion platform, a visual system that displays a computer model of the tractor, a motion platform, and a virtual environment. The control devices of a real tractor cabin were successfully converted into mock operator control devices in which sensors were used for relevant measurements. A 3D computer model of the tractor was also implemented using 3ds Max, tractor dynamics, and the physics of Unity 3D. The visual system consisted of two graphic cards and four monitors for the simultaneous display of the four different sides of a 3D object to the operator. The motion platform was designed with two rotational degrees of freedom to reduce cost, and inverse kinematics was used to calculate the required motor positions and to rotate the platform. The generated virtual environment consisted of roads, traffic signals, buildings, rice paddies, and fields. Results: The effectiveness of the simulator was evaluated by a performance test survey administered to 128 agricultural machinery instructors, 116 of whom considered the simulator as having potential for improving safety training. Conclusions: From the study results, it is concluded that the developed simulator can be effectively used for the safety training of agricultural tractor operators.

인공신경망을 활용한 고등어의 위판가격 변동 예측 -어획량 제한이 없었던 TAC제도 시행 이전의 경우- (Forecasting common mackerel auction price by artificial neural network in Busan Cooperative Fish Market before introducing TAC system in Korea)

  • 황강석;최정화;오택윤
    • 수산해양기술연구
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    • 제48권1호
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    • pp.72-81
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    • 2012
  • Using artificial neural network (ANN) technique, auction prices for common mackerel were forecasted with the daily total sale and auction price data at the Busan Cooperative Fish Market before introducing Total Allowable Catch (TAC) system, when catch data had no limit in Korea. Virtual input data produced from actual data were used to improve the accuracy of prediction and the suitable neural network was induced for the prediction. We tested 35 networks to be retained 10, and found good performance network with regression ratio of 0.904 and determination coefficient of 0.695. There were significant variations between training and verification errors in this network. Ideally, it should require more training cases to avoid over-learning, which leads to improve performance and makes the results more reliable. And the precision of prediction was improved when environmental factors including physical and biological variables were added. This network for prediction of price and catch was considered to be applicable for other fishes.

Research and development of haptic simulator for Dental education using Virtual reality and User motion

  • Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.52-57
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    • 2018
  • The purpose of this paper is to develop simulations that can be used for virtual education in dentistry. The virtual education to be developed will be developed with clinical training and actual case data of tooth extraction. This development goal is to allow dental students to learn the necessary surgical techniques at the point of their choice, not going into the operating room, away from time, space, and physical limits. I want to develop content using VR. Oculus Rift HMD, Optical Based Outside-in Tracking System, Oculus Touch Motion Controller, and Headset as Input / Output Device. In this configuration, the optimization method is applied convergent, and when the operation of the VR contents is performed, the content data is extracted from the interaction analysis formed in the VR engine, and the data is processed by the content algorithm. It also computes events and dental operations generated within the 3D engine programming and generates corresponding events through data processing according to the input signal. The visualization information is output to the HMD using the rendering information. In addition, the operating room environment was constructed by studying lighting and material for actual operating room environment. We applied the ratio of actual space to virtual space and the ratio between character and actual person to create a spatial composition at a similar rate to actual space.

3차원 LiDAR 점군 데이터에서의 가상 차량 데이터 생성을 위한 구면 점 추적 기법 (Spherical Point Tracing for Synthetic Vehicle Data Generation with 3D LiDAR Point Cloud Data)

  • 이상준;김학일
    • 방송공학회논문지
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    • 제28권3호
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    • pp.329-332
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    • 2023
  • 딥러닝 네트워크를 이용한 3차원 객체 인식 기술은 자율주행 기술 개발에 있어 대상 객체의 종류 뿐만 아니라 센서로부터의 거리도 인식할 수 있기 때문에 장애물 탐지를 위해 많이 개발되고 있다. 하지만 3차원 객체 인식 모델의 경우 원거리 객체에 대한 탐지 성능이 근거리 객체에 대한 인식 성능보다 낮아 차량의 안전을 확보하는 데에 치명적인 문제가 발생할 수 있다. 본 논문에서는 가상의 3차원 차량 데이터를 생성해 모델 학습에 사용되는 데이터셋에 추가하여 3차원 객체 인식 모델의 성능, 특히 원거리의 객체에 대한 성능을 향상시키는 기술을 소개한다. 3차원 라이다 센서 데이터의 특성을 활용한 구면 점 추적 기법을 사용하여 실제 차량과 매우 유사한 가상 차량을 생성하였고, 생성한 가상 차량 데이터를 사용하여 원거리뿐만 아니라 모든 거리 영역 범위에서의 객체 인식 성능을 향상시킴으로써 가상 데이터의 학습 유효성을 입증하였다.