• Title/Summary/Keyword: Real situation Test

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A Research on the Wheelchair Carrier for Disabled Driver (장애인 휠체어 캐리어에 관한 연구)

  • Lee, S.C.;Park, S.S.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.6 no.1
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    • pp.9-15
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    • 2012
  • In this paper, the feasibility of a wheelchair carrier for the disabled own driver is checked kinematically to fit one of current domestic vans by drawings, design. A van with 9 passengers is selected for the modification to attach the wheelchair carrier and test the operation in real situation. The trajectory and motion process are studied to protect from the interception with outside body of van, and the conceptual design is proceeded kinematically. For the detail design, the stress analysis and driving mechanism with power supply must be studied and selected basically.

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Heat Transfer Characteristics of DPH(Dual Pack Heater) in Electric and Fuel Cell(FC) Car (전기 및 연료전지자동차용 DPH 난방장치개발연구)

  • Roh, Hong-Koo;Lim, Kyung-Bin;Noh, Jong-Ho;Lee, Young-Ki;Ko, Jun-Bin
    • Proceedings of the SAREK Conference
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    • 2009.06a
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    • pp.1262-1266
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    • 2009
  • The study aims to analyzed and identify the heat transfer characteristics of heating unit for car using experimental method in order to design DPH. The temperature comparison processes were done with various experimental conditions. In addition, the optimal conditions of DPH design were proposed as field test in real car, hot air flow, transient situation.

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A Real-Time NDGPS/INS Navigation System Based on Artificial Vision for Helicopter (인공시계기반 헬기용 3차원 항법시스템 구성)

  • Kim, Jae-Hyung;Lyou, Joon;Kwak, Hwy-Kuen
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.3
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    • pp.30-39
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    • 2008
  • An artificial vision aided NDGPS/INS system has been developed and tested in the dynamic environment of ground and flight vehicles to evaluate the overall system performance. The results show the significant advantages in position accuracy and situation awareness. Accuracy meets the CAT-I precision approach and landing using NDGPS/INS integration. Also we confirm the proposed system is effective enough to improve flight safety by using artificial vision. The system design, software algorithm, and flight test results are presented in details.

Implementation of NPC server for adaptive Al in online game (온라인 게임에서의 적응형 Al 구현을 위한 NPC 서버의 설계)

  • Mun, Sung-Won;Han, Sung-Ho
    • Journal of Korea Game Society
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    • v.5 no.4
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    • pp.23-32
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    • 2005
  • This paper introduces environment analysis way to improve the game AI. The way of environment analysis can provide game user the more reality than generally used AI patterns. This paper suggests the way to make die NPC patterns variously. To realize this theory we designed the organization of NPC server newly, and also accomplished the experiment of NPC server simulation test to get the performance applied in real situation.

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A Study on the Detection of LIF and HIF Using Neural Network (신경회로망을 이용한 LIF 및 HIF검출에 판한 연구)

  • Choi, H.S.;Park, S.W.;Chae, J.B.;Kim, C.H.
    • Proceedings of the KIEE Conference
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    • 1997.07c
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    • pp.924-926
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    • 1997
  • A high impedance fault(HIF) in a power system could be due to a downed conductor, and is a dangerous situation because the current may be too small to be detected by conventional means. In this paper, HIF(High impedance fault) and LIF(Low impedance fault) detection methods were reviewed. No single defection method can detect all electrical conditions resulting from downed conductor faults, because high impedance fault have arc phenomena, asymmetry and randomness. Neural network are well-suited for solving difficult signal processing and pattern recognition problem. This paper presents the application of artificial neural network(ANN) to detect the HIF and LIF. Test results show that the neural network was able to identify the high impedance fault by real-time operation. Furthermore, neural network was able to discriminate the HIF from the LIF.

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A Technique for Alignment to True North Based on Camera in Meteorological Installation (풍황 계측 타워 설치시 카메라를 사용한 진북 맞추기 기법)

  • Yoo Neung Soo;Nam Yoo Su;Lee Jeong Wan
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.2
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    • pp.122-126
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    • 2005
  • A technique for alignment to true north is presented based on synchronized measurements of vision image by a camera and output voltage of wind direction sensor. The true wind direction is evaluated by means of image processing techniques with least square sense, and then evaluated true value is compared with measured output voltage of the sensor. The uncertainty analysis about the component error for the proposed method in practical situation is performed. The proposed technique is applied to real meteorological tower (wind measuring tower) at the Daekwanryung test site. In addition, some uncertainty analysis of this method is presented.

A STUDY ON PUPIL DETECTION AND TRACKING METHODS BASED ON IMAGE DATA ANALYSIS

  • CHOI, HANA;GIM, MINJUNG;YOON, SANGWON
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.25 no.4
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    • pp.327-336
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    • 2021
  • In this paper, we will introduce the image processing methods for the remote pupillary light reflex measurement using the video taken by a general smartphone camera without a special device such as an infrared camera. We propose an algorithm for estimate the size of the pupil that changes with light using image data analysis without a learning process. In addition, we will introduce the results of visualizing the change in the pupil size by removing noise from the recorded data of the pupil size measured for each frame of the video. We expect that this study will contribute to the construction of an objective indicator for remote pupillary light reflex measurement in the situation where non-face-to-face communication has become common due to COVID-19 and the demand for remote diagnosis is increasing.

Pipeline wall thinning rate prediction model based on machine learning

  • Moon, Seongin;Kim, Kyungmo;Lee, Gyeong-Geun;Yu, Yongkyun;Kim, Dong-Jin
    • Nuclear Engineering and Technology
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    • v.53 no.12
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    • pp.4060-4066
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    • 2021
  • Flow-accelerated corrosion (FAC) of carbon steel piping is a significant problem in nuclear power plants. The basic process of FAC is currently understood relatively well; however, the accuracy of prediction models of the wall-thinning rate under an FAC environment is not reliable. Herein, we propose a methodology to construct pipe wall-thinning rate prediction models using artificial neural networks and a convolutional neural network, which is confined to a straight pipe without geometric changes. Furthermore, a methodology to generate training data is proposed to efficiently train the neural network for the development of a machine learning-based FAC prediction model. Consequently, it is concluded that machine learning can be used to construct pipe wall thinning rate prediction models and optimize the number of training datasets for training the machine learning algorithm. The proposed methodology can be applied to efficiently generate a large dataset from an FAC test to develop a wall thinning rate prediction model for a real situation.

Maximum product of spacings under a generalized Type-II progressive hybrid censoring scheme

  • Young Eun, Jeon;Suk-Bok, Kang;Jung-In, Seo
    • Communications for Statistical Applications and Methods
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    • v.29 no.6
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    • pp.665-677
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    • 2022
  • This paper proposes a new estimation method based on the maximum product of spacings for estimating unknown parameters of the three-parameter Weibull distribution under a generalized Type-II progressive hybrid censoring scheme which guarantees a constant number of observations and an appropriate experiment duration. The proposed approach is appropriate for a situation where the maximum likelihood estimation is invalid, especially, when the shape parameter is less than unity. Furthermore, it presents the enhanced performance in terms of the bias through the Monte Carlo simulation. In particular, the superiority of this approach is revealed even under the condition where the maximum likelihood estimation satisfies the classical asymptotic properties. Finally, to illustrate the practical application of the proposed approach, the real data analysis is conducted, and the superiority of the proposed method is demonstrated through a simple goodness-of-fit test.

The signal processing algorithm of the Missile Flight Test Launch Control System (비행시험 발사통제 시스템의 신호처리 알고리즘)

  • Oh, Jino
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1965-1972
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    • 2015
  • The Missile Flight Test Launch Control System is to operate in conjunction with the Fire Control System during flight test to guided weapons. Also, this is a system for the test control and situation monitoring depending on the type of guided weapons and testing purposes. Message structure, communication protocols, such as data types for interworking with the fire control system and the Missile Flight Test Launch Control System are defined in the Launch Control ICD(Interface Control Document). ICD are composed differently of each guided weapons system and each test object. Previously, in order to interwork with the Fire Control System, the interlocking software was developed, which had a variety of problems. Therefore, we developed a new parsing algorithm in order to recognize the variety of Launch Control ICD and verified that the algorithm operates normally by checking transmitting and receiving various message in conjunction with the fire control system.