• Title/Summary/Keyword: driving time

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Analysis of Driving Performances on the Characteristics of Drivers (운전자의 특성에 따른 자동차 운전 수행도 분석)

  • 오영진
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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    • pp.145-152
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    • 1998
  • Driving performance is characterized by many things such as driver's experience period, age, ability of information processing and reaction time of control devices and so forth. However, each factor of driving performance is needed to help and screen a poor driver for safe driving. In this paper, driving performance was estimated by reaction of manipulating brake, accelerator, steering wheel and speed. Subjects were grouped by experience of accident and age. Combinations of every group were analysed. For all the dependent variables, only steering wheel and speed were shown to have significant difference, which could be regarded as visual information of speed and direction were the important factors to drive safely. Especially for tile elderly, it is needed to enhance their ability of visual information processing that is to be decreased with aging. Therefore driving simulator to train and screen the poor driver should be studied.

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Finite Element Analysis and Geometric Parameter Optimization for BMT Driving Assembly (BMT 구동장치의 유한요소해석 및 형상변수 최적화)

  • Park, Young-Whan;Kwak, Jae-Seob;Jiating, Yan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.19 no.2
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    • pp.178-183
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    • 2010
  • Base-mounted type(BMT) driving assembly in CNC machine tools is an indispensable part to improve productivity by reducing tool changeover time and to meet the ever-increasing demand of precision machine tools. This study aimed to perform finite element analysis and geometric parameter optimization to improve the efficiency of BMT driving assembly. First, simulations for three-dimensional structural and vibration analysis were performed using ANSYS/Workbench on the initial geometric models of BMT driving assembly. After analyzing stress and deformation concentration zones, several new geometrical models were designed and evaluated by design of experiments and ANSYS/DesignXplorer. Through a series of analysis-evaluation-modification cycles, it was seen that designed models were effective in determining optimal geometry of BMT driving assembly.

Steering Control of the Autonomous Guided Vehicle Driving System for Durability Test

  • Jeong, Jong-Won;Lee, Young-Jin;Yoon, Kang-Sup;Lee, Man-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.104-104
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    • 2000
  • Among durability tests, the accelerated durability test has been widely used to evaluate the durability of vehicle structure and chassis pans in a shon period of time on the designed road which has severe surface conditions. However it increases the drivers fatigue mainly caused by the severe driving conditions. The drivers difficulty of maintaining constant speed and controlling the steering wheel reduces the reliability of test results. The durability test includes the position and distance sensing system for the recognition of the absolute and relative driving position, the driving control system for the control of whole driving circumstance, the emergency system for responding to system errors. AGVDS (Autonomous Guided Vehicle Driving System) was Proved to facilitate the development of now car projects. Therefore the AGVDS we propose will help make the fundamentals for all future traffic systems.

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An Evaluation of Driving Fatigue on Long-term Driving (운전 시간에 따른 피로도의 변화)

  • 김선웅;성홍모;박세진
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.177-180
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    • 2002
  • The type of physiological stress involved in driving is probably complex, and a comprehensive study involving recording of physiological signals such as electrocardiogram(ECG), electromyogram(EMG). Changes in relevant Physiological parameters, such as ECG, EMG, reflected changes in driver status. In order to derive the mental and physical load of driving a motor vehicle from driving behaviour alone it is necessary to establish the relationship between changes in a driver's physiological parameters and behavioral parameters. In this study, we choose two different condition and investigated driver's status using HRV analysis method. Many previous studies have shown that increasing driving time causes a variation of HRV signal.

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Several factors affect density and magnetic field correlation

  • Yoon, Heesun;Cho, Jungyeon;Kim, Jongsoo
    • The Bulletin of The Korean Astronomical Society
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    • v.41 no.1
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    • pp.51.1-51.1
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    • 2016
  • Turbulent motions produce density and magnetic field fluctuations. Correlation between density and magnetic field fluctuations are important for interpretation of observations, such as the rotation measure (RM) and dispersion measure (DM). We study the several factors that can affect the correlation between two. In particular, we numerically investigate how the correlation time of driving affects the correlation between density and magnetic field. We perform compressible MHD turbulence simulations at different sonic Mach number and consider two different driving schemes - continuously changing driving and delta-correlated driving. The continuously changing driving results in strong anti-correlation between density and magnetic field when sonic and Alfvenic Mach numbers are similar unity. The delta-correlated driving produces virtually no correlation between two fields.

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Theoretical Study on Eco-Driving Technique for an Electric Vehicle with Dynamic Programming

  • Kuriyama, Motoi;Yamamoto, Sou;Miyatake, Masafumi
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.1
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    • pp.114-120
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    • 2012
  • Eco-driving technique for electric vehicles (EVs) is investigated in this paper. Many findings on EVs have been reported; however, they did not deal with eco-driving from the viewpoint of theoretical study. The authors have developed an energy-saving driving technique - the so-called "eco-driving" technique based on dynamic programming (DP). Optimal speed profile of an EV, which minimizes the amount of total energy consumption, was determined under fixed origin and destination, running time, and track conditions. DP algorithm can deal with such complicated conditions and can also derive the optimal solution. Using the proposed method, simulations were run for some cases. In particular, the author ran simulations for the case of a gradient road with a traffic signal. The optimization model was solved with MATLAB.

The Thermal and Circuits Design of an LED Bulb Considering Temperature Property (온도 특성을 고려한 LED 전구의 방열 및 회로 설계)

  • Song, Sang-Bin;Yeo, In-Seon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1261-1267
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    • 2007
  • Although LEDs have been used in various applications with improving the brightness and luminous efficacy, the electrical and optical characteristics of high power LED varies at different temperature and starting time. In this paper, optimal heat sink and apparatus design were conducted using IR camera and ICEPAK on the LED bulb consisting with fourteen LED array. The temperatures of heat sink and LED device of the designed LED bulb without cooling pan were $74^{\circ}C\;and\;96.8^{\circ}C$, respectively, showing in good themal characteristics. For high efficiency driving circuit of LED array adopted optimal heat sink design, driving circuits of constant voltage and current circuits were suggested and fabricated. As a result the efficacy of all driving circuits showed more than 20 lm/W. Also, the constant current circuits are suitable for signal lamp, hallway lamp, and flash lamp having short operating time(about 30 min). On the other hand, a reading light and indoor lamp having long operating time can be controlled by constant voltage circuit.

Searching optimal path using genetic algorithm (유전 알고리즘을 이용한 최적 경로 탐색)

  • Kim, Kyungnam;cho, Minseok;Lee, Hyunkyung
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.479-483
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    • 2015
  • In case of the big city, choosing the adequate root of which we can reach the destination can affect the driver's condition and driving time. so it is quite important to find the optimal routes for arriving the destination as considering the factors, such as driving conditions or travel time and so on. In this paper, we develop route choice model with considering driving conditions and travel time, and it can search the optimal path which make drivers reduce their fatigues using genetic algorithm.

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Investigation of the Driving Frequency Effect on the RF-Driven Atmospheric Pressure Micro Dielectric Barrier Discharges

  • Bae, Hyowon;Lee, Jung Yeol;Lee, Hae June
    • Applied Science and Convergence Technology
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    • v.26 no.4
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    • pp.74-78
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    • 2017
  • The discharge characteristics of the radio frequency (RF) surface dielectric barrier discharge have been simulated for the investigation of the ratio of the ion transit time to the RF period. From one-dimensional particle-in-cell (PIC) simulation for a planar dielectric barrier discharge (DBD), it was observed that the high-frequency driving voltage confines the ions in the plasma because of a shorter RF period than the ion transit time. For two-dimensional surface dielectric barrier discharges, a fluid simulation is performed to investigate the characteristics of RF discharges from 1 MHz to 40 MHz. The ratio of the peak density to the average density decreases with the increasing frequency, and the spatiotemporal discharge patterns change abruptly with the change in the ratio of ion transit time to the RF period.

Analysis and Processing of Driver's Biological Signal of Workload (작업 부하에 따른 운전자의 생체신호 처리 및 특성 분석)

  • Heo, Yun Seok;Lee, Jae-Cheon;Kim, Yoon Nyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.3
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    • pp.87-93
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    • 2015
  • The accidents caused by drivers while driving are considered as the major causes along with other causes such as conditions of roads, weather and cars. In this study, we investigated the driver's workloads under three different driving conditions (Weather, Driving time zone, and Traffic density) through analyzing biological signals obtained from a car driving simulator system. The proposed method is able to detect R waves and R-R interval calculation in the ECG. Heart rate variability (HRV) was investigated for the time domain to determine the changes in driver's conditions.