• Title/Summary/Keyword: Speed Detection

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Slip/Slide Detection Method for the Railway Vehicles using Rotary Type Speed Sensor (회전형 속도검출기를 사용한 철도차량에서 공전, 활주의 검출방법)

  • Lee, Eul-Jae;Kim, Young-Seok;Yoon, Yong-Ki;Lee, Jae-Ho;Ryu, Sang-Hwan;Jeong, Rak-Kyo
    • Proceedings of the KIEE Conference
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    • 2000.11b
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    • pp.405-407
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    • 2000
  • The most generally implemented method to detect the ground speed of the railway vehicles is to use the rotary type speed sensor attached to wheel axle. The Slip or sliding phenomenon on the railway vehicles occurs frequently caused by the weak viscosity of the wheel. Thus, precisely to control the car, the slip/sliding detection system is required. In this paper we proposed for the speed data management system, which uses rotary type speed sensor. Proposed speed management system can detect the slip/sliding with wheel axle as well as correct the generated speed error during in error time, to provide accurate speed and precise location data. The effectiveness for adapting to the railway system is clarified by the computer simulation.

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Motor Speed and Phase Angle Detection Using A Sinusoidal AC Tacho-Generator (정현파 교류 타코제너레이터를 이용한 전동기속도 및 회전각 검출)

  • Choi, Jung-Soo;Cho, Kyu-Min;Shin, Jae-Hwa
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.415-419
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    • 1996
  • This paper presents motor speed and phase angle detection method using a sinusoidal AC tachogenerator. The 2-phase or 3-phase output tacho-generator can be adopted, and its' output voltages must have sinusoidal waveforms. Because the detection algorithm is simple, the proposed method can be implemented with analog devices of microprocessor conveniently. And the proposed method has a very short detection delay time. Especially in the analog implementation, there is no delay time without the settling time of analog devices. With the Experimental results, it is verified that the proposed method can accurately detect the instantaneous motor speed and phase over the wide ranges.

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Motor speed and revolution angle detection using a sinusoidal AC tacho-generator (정현파 교류 타코제너레이터를 이용한 전동기 속도 및 회전각 검출)

  • 최정수;유완식;조규민
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.6
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    • pp.94-103
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    • 1997
  • This paper presents motor speed and revolution angle detection method using a sinusoidal AC tacho-generator. The 2-phase or 3-phase output tacho-generator can be adopted, and its' output voltages must have sinusoidal waveforms. Because the detection algorithm is simple, the proosed method can be implemented with analog devices or microprocessor conveniently. And the proposed method has a very short detection delay time. Especially in the analog implementation, there is no delay time without the settling time of analog devices. With the experimental results, it is verified that the proposed method can acculately detect the instantaneous motor speed and revolution angle over the wide ranges.

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Fast Detection of Distributed Global Scale Network Attack Symptoms and Patterns in High-speed Backbone Networks

  • Kim, Sun-Ho;Roh, Byeong-Hee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.2 no.3
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    • pp.135-149
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    • 2008
  • Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but they have a limitation to figure out the pattern of the distributed global scale network attack. In this paper, we propose an efficient and fast method for detecting distributed global-scale network attack symptoms in high-speed backbone networks. The proposed method is implemented at the aggregate traffic level. So, our proposed scheme has much lower computational complexity, and is implemented in very high-speed backbone networks. In addition, the proposed method can detect attack patterns, such as attacks in which the target is a certain host or the backbone infrastructure itself, via collaboration of edge routers on the backbone network. The effectiveness of the proposed method are demonstrated via simulation.

Crack detection in concrete slabs by graph-based anomalies calculation

  • Sun, Weifang;Zhou, Yuqing;Xiang, Jiawei;Chen, Binqiang;Feng, Wei
    • Smart Structures and Systems
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    • v.29 no.3
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    • pp.421-431
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    • 2022
  • Concrete slab cracks monitoring of modern high-speed railway is important for safety and reliability of train operation, to prevent catastrophic failure, and to reduce maintenance costs. This paper proposes a curvature filtering improved crack detection method in concrete slabs of high-speed railway via graph-based anomalies calculation. Firstly, large curvature information contained in the images is extracted for the crack identification based on an improved curvature filtering method. Secondly, a graph-based model is developed for the image sub-blocks anomalies calculation where the baseline of the sub-blocks is acquired by crack-free samples. Once the anomaly is large than the acquired baseline, the sub-block is considered as crack-contained block. The experimental results indicate that the proposed method performs better than convolutional neural network method even under different curvature structures and illumination conditions. This work therefore provides a useful tool for concrete slabs crack detection and is broadly applicable to variety of infrastructure systems.

Human Drivers' Driving Pattern Analysis and An Adaptive Cruise Control Strategy (운전자 주행 패턴 분석 및 차량의 순항제어 기법)

  • 문일기;이경수
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.4
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    • pp.191-197
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    • 2004
  • This paper presents experimental results for human drivers' driving patterns and an Adaptive Cruise Control(ACC) strategy. Analyses have shown that female drivers' driving characteristic values such as time-gap and minimum clearance are larger than those of male drivers'. Human drivers tend to have more clearance margins at high speed than at low speed. At low speed, drivers are much more sensitive to the desired clearance than at high speed. A multi-vehicle detection method is presented to improve ride quality of an ACC. Simulation results have shown that the proposed ACC can provide superior performance compared to the ACC strategy which uses a single-vehicle detection method.

A Collision detection from division space for performance improvement of MMORPG game engine (MMORPG 게임엔진의 성능개선을 위한 분할공간에서의 충돌검출)

  • Lee, Sung-Ug
    • The KIPS Transactions:PartB
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    • v.10B no.5
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    • pp.567-574
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    • 2003
  • Application field of third dimension graphic is becoming diversification by the fast development of hardware recently. Various theory of details technology necessary to design game such as 3D MMORPG (Massive Multi-play Online Role Flaying Game) that do with third dimension. Cyber city should be absorbed. It is the detection speed that this treatise is necessary in game engine design. 3D MMORPG game engine has much factor that influence to speed as well as rendering processing because it express huge third dimension city´s grate many building and individual fast effectively by real time. This treatise nay get concept about the collision in 3D MMORPG and detection speed elevation of game engine through improved detection method. Space division is need to process fast dynamically wide outside that is 3D MMORPG´s main detection target. 3D is constructed with tree construct individual that need collision using processing geometry dataset that is given through new graph. We may search individual that need in collision detection and improve the collision detection speed as using hierarchical bounding box that use it with detection volume. Octree that will use by division octree is used mainly to express rightly static object but this paper use limited OSP by limited space division structure to use this in dynamic environment. Limited OSP space use limited space with method that divide square to classify typically complicated 3D space´s object. Through this detection, this paper propose follow contents, first, this detection may judge collision detection at early time without doing all polygon´s collision examination. Second, this paper may improve detection efficiency of game engine through and then reduce detection time because detection time of bounding box´s collision detection.

BLAC speed contol using precision Velocity Estimation through the Rotor Position ObservationR (관측 위치를 지령치로 하는 새로운 속도추정 알고리즘을 이용한 BLAC 속도제어)

  • Lee, Sang-Hun;Song, Hyin-Jig;Park, Chan-Kyu
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.3
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    • pp.93-102
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    • 2014
  • Recently the interest in permanent magnet alternating motor using for electric compressor become great. Especially the research on Interior Permanent Magnet Motor has been doing actively for its advantages in the energy density and the efficiency. In order to control the output of motor to the desired value, the current control or speed control of motor are required. The accurate detection of rotor position and speed information are necessary for the control of motor. In general, the encoder, hall sensor, and resolver are used to obtain the information of motor position and speed and the speed detection algorithm, M/T method, is applied. However, the M/T method causes the error depending on rotor speed. Therefore, this M/T speed detection method is not perfect. In this paper, it is proposed that the PI control with a 1st transfer function and the integration element between velocity and position are composed in series and this feeds back to the reference value of position angle. The proposed algorithm is a function of the integral elements 2nd term, speed element, is used as an output. Thus, it is possible to detect the correct speed by configuring like the mechanical structure similarly. The proposed algorithm is verified by using PSIM DLL and is applied to the BLAC motor drive. And also it is confirmed that this system estimates the accurate speed regardless of rotor speed changes. As a example, the experimental results and simulations shows that the proposed method is very effective.

A Facial Feature Detection using Light Compensation and Appearance-based Features (빛 보상과 외형 기반의 특징을 이용한 얼굴 특징 검출)

  • Kim Jin-Ok
    • Journal of Internet Computing and Services
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    • v.7 no.3
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    • pp.143-153
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    • 2006
  • Facial feature detection is a basic technology in applications such as human computer interface, face recognition, face tracking and image database management. The speed of feature detection algorithm is one of the main issues for facial feature detection in real-time environment. Primary factors like a variation by lighting effect, location, rotation and complex background give an effect to decrease a detection ratio. A facial feature detection algorithm is proposed to improve the detection ratio and the detection speed. The proposed algorithm detects skin regions over the entire image improved by CLAHE, an algorithm for light compensation against varying lighting conditions. To extract facial feature points on detected skin regions, it uses appearance-based geometrical characteristics of a face. Since the method shows fast detection speed as well as efficient face-detection ratio, it can be applied in real-time application to face tracking and face recognition.

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