• Title/Summary/Keyword: Train Generation

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A Study of LCD Panel Cleaning Effect of Plasma Generation Power Source (플라즈마 발생용 전원장치의 LCD 패널 세정효과에 관한 연구)

  • Kim, Gyu-Sik
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.5
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    • pp.44-51
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    • 2008
  • UV lamp systems have been used for cleaning of display panels of TFT LCD or Plasma Display Panel (PDP). However, the needs for high efficient cleaning and low cost made high voltage plasma cleaning techniques to be developed and to be improved. Dielectric-Barrier Discharges (DBDs), also referred to as barrier discharges or silent discharges have been exclusively related to ozone generation for a long time. In this paper, a 6kW high voltage plasma power supply system was developed for LCD cleaning. The 3-phase input voltage is rectified and then inverter system is used to make a high frequency pulse train, which is rectified after passing through a high-power transformer. Finally, hi-directional high voltage pulse switching circuits are used to generate the high voltage plasma. Some experimental results showed the usefulness of atmospheric plasma for LCD panel cleaning.

Transmission Techniques for Downlink Multi-Antenna MC-CDMA Systems in a Beyond-3G Context

  • Portier Fabrice;Raos Ivana;Silva Adao;Baudais Jean-Yves;Helard Jean-Francois;Gameiro Atilio;Zazo Santiago
    • Journal of Communications and Networks
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    • v.7 no.2
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    • pp.157-170
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    • 2005
  • The combination of multiple antennas and multi-carrier code division multiple-access (MC-CDMA) is a strong candidate for the downlink of the next generation mobile communications. The study of such systems in scenarios that model real-life trans-missions is an additional step towards an optimized achievement. We consider a realistic MIMO channel with two or four transmit antennas and up to two receive antennas, and channel state information (CSI) mismatches. Depending on the mobile terminal (MT) class, its number of antennas or complexity allowed, different data-rates are proposed with turbo-coding and asymptotic spectral efficiencies from 1 to 4.5 bit/s/Hz, using three algorithms developed within the European IST-MATRICE project. These algorithms can be classified according to the degree of CSI at base-station (BS): i) Transmit space-frequency prefiltering based on constrained zero-forcing algorithm with complete CSI at BS; ii) transmit beamforming based on spatial correlation matrix estimation from partial CSI at BS; iii) orthogonal space-time block coding based on Alamouti scheme without CSI at BS. All presented schemes require a reasonable complexity at MT, and are compatible with a single-antenna receiver. A choice between these algorithms is proposed in order to significantly improve the performance of MC-CDMA and to cover the different environments considered for the next generation cellular systems. For beyond-3G, we propose prefiltering for indoor and pedestrian microcell environments, beamforming for suburban macrocells including high-speed train, and space-time coding for urban conditions with moderate to high speeds.

A Study on Image Generation from Sentence Embedding Applying Self-Attention (Self-Attention을 적용한 문장 임베딩으로부터 이미지 생성 연구)

  • Yu, Kyungho;No, Juhyeon;Hong, Taekeun;Kim, Hyeong-Ju;Kim, Pankoo
    • Smart Media Journal
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    • v.10 no.1
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    • pp.63-69
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    • 2021
  • When a person sees a sentence and understands the sentence, the person understands the sentence by reminiscent of the main word in the sentence as an image. Text-to-image is what allows computers to do this associative process. The previous deep learning-based text-to-image model extracts text features using Convolutional Neural Network (CNN)-Long Short Term Memory (LSTM) and bi-directional LSTM, and generates an image by inputting it to the GAN. The previous text-to-image model uses basic embedding in text feature extraction, and it takes a long time to train because images are generated using several modules. Therefore, in this research, we propose a method of extracting features by using the attention mechanism, which has improved performance in the natural language processing field, for sentence embedding, and generating an image by inputting the extracted features into the GAN. As a result of the experiment, the inception score was higher than that of the model used in the previous study, and when judged with the naked eye, an image that expresses the features well in the input sentence was created. In addition, even when a long sentence is input, an image that expresses the sentence well was created.

The Brake Performance of Sintered Friction Materials Developed for High Speed Trains (고속전철용 소결 복합재의 마찰 특성평가)

  • Chung, So-La;Hong, Ui-Seok;Jang, Ho
    • Tribology and Lubricants
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    • v.23 no.6
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    • pp.266-271
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    • 2007
  • The brake performance of sintered friction materials for the high speed train was studied. In this study, newly developed sintered materials based on copper were compared with the commercial products for high speed trains. They were tested on a 1/5 scale dynamometer using low carbon steel disks. Effectiveness, fade, and recovery tests were carried out to examine friction performance and the change of disk thickness variation (DTV) during brake applications and noise propensity were also evaluated. Results showed that the two sintered friction materials exhibit similar friction coefficients and braking performance, whereas the newly developed friction material was superior in terms of DTV generation and noise propensity to the commercial friction material. The improvement of the newly developed friction material was attributed to the high graphite content which reduced the stick-slip phenomena and prevented uneven disk wear by producing friction films on the counter disk.

Development of ECO Driving Meter System for Diesel Locomotives (디젤기관차 연료사용량 측정장치 개발)

  • Park, Tae-Gi;Lee, Eul-Jae
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2357-2364
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    • 2011
  • Diesel locomotive operates the generator with the power from the diesel engine, and it consists of the typical serial-hybrid system which operates the train wheels by converting its generated electric energy into the torque of DC (or AC) motor. However, the technology of locomotives is only focused on trains' controlling power generation mechanism. Hence, it is a current issue that the efficiency of its engine and its generator is relatively lower than that of auto vehicles'. Particularly, since there are no proper equipment to measure the amount of fuel which is essentially necessary for the efficient use of fuel, it is not easy to confirm the instant amount of fuel use as well as the exact average fuel consumption per an hour. Due to those difficulties, it is urgent to develop the device that measures the fuel consumption. Plus, this use of the developed measuring device allows the various and useful analysis relating to the fuel consumption, and this could lead to establishing the efficient driving pattern regarding to fuel saving. This device consists of two flux (fuel level) measuring censors, MCU for calculating the measured values, the information recorder for saving measured values, and the display device for indicating the fuel amount consumed during driving.

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Study on Precise Positioning using Hybrid Track Circuit system in Metro (하이브리드 궤도회로를 이용한 지하철 정위치정차에 대한 연구)

  • Jung, Ho-Hung;Ko, Yang-Og;Li, Chang-Long;Lee, Key-Seo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.3
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    • pp.471-477
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    • 2013
  • We have studied on the possibility of precise positioning using hybrid Track Circuit system. Hybrid Track Circuit uses RFID which replaces UHF. Hybrid Track Circuit is a part of next generation railroad signal system which is available to communicate with a railway on board system based on a realtime operating system. If applicate on a current hand operating subway, phenomenon caused by driver's mistake such as passing a stop without stopping or mismatch error between PSD and train door should be prevented.

On the Development of Requirements and Test and Evaluation Procedure for Improving the Work Environment of Locomotive Cabs (철도차량 운전실의 작업환경 개선을 위한 요건관리 및 시험평가 방안에 관한 연구)

  • Kim, Young Min;Park, Chan Woo;Lee, Jae-Chon
    • Journal of the Korea Safety Management & Science
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    • v.15 no.4
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    • pp.63-72
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    • 2013
  • Recent trends in rail industry can be characterized by the multifunctionality and very high-speed modes of operations. In particular, the adoption of the unmaned or operatorless operations has been getting increased attention in which case ensuring systems safety is crucial. On the other hand, according to the result of analyzing rail accidents, the human/operator errors have turned out to be one of the key causes of the accidents. Therefore, the effort of improving the work environment of locomotive cabs is quite necessary in order to decrease the accidents. The objective of this paper is studying on how to incorporate the factors related to the train operators in the design of the locomotive cabs and also on how to evaluate the design results obtained, which is subsequently reflected in the generation of the test and evaluation procedure. The approach taken is based on systems engineering, yielding the procedure document as a result. The results obtained in the paper can be useful in confirming the design of locomotive cabs utilizing the domestic human/operator measure. Also, the way of achieving the objectives can be utilized to cover the expanded rail systems development with appropriate design activities added.

A Sparse Target Matrix Generation Based Unsupervised Feature Learning Algorithm for Image Classification

  • Zhao, Dan;Guo, Baolong;Yan, Yunyi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2806-2825
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    • 2018
  • Unsupervised learning has shown good performance on image, video and audio classification tasks, and much progress has been made so far. It studies how systems can learn to represent particular input patterns in a way that reflects the statistical structure of the overall collection of input patterns. Many promising deep learning systems are commonly trained by the greedy layerwise unsupervised learning manner. The performance of these deep learning architectures benefits from the unsupervised learning ability to disentangling the abstractions and picking out the useful features. However, the existing unsupervised learning algorithms are often difficult to train partly because of the requirement of extensive hyperparameters. The tuning of these hyperparameters is a laborious task that requires expert knowledge, rules of thumb or extensive search. In this paper, we propose a simple and effective unsupervised feature learning algorithm for image classification, which exploits an explicit optimizing way for population and lifetime sparsity. Firstly, a sparse target matrix is built by the competitive rules. Then, the sparse features are optimized by means of minimizing the Euclidean norm ($L_2$) error between the sparse target and the competitive layer outputs. Finally, a classifier is trained using the obtained sparse features. Experimental results show that the proposed method achieves good performance for image classification, and provides discriminative features that generalize well.

The Operation Conditions of Domestic Railway Wireless Communication Network and Those Technical Trends (철도 무선통신 기술동향 및 국내 운용현황)

  • Kim, Bum-Gon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.4
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    • pp.379-386
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    • 2016
  • As well as to operate a high-speed rail, our country with capability to produce high-speed train has developed a number of techniques, such as for a riding comfort improvement, automatic diagnosis for major electrical or mechanical parts, on board measurement for catenary systems and noise reduction of running rolling-stocks are still under development. In this paper, we describe the current status of operation technologies not only traditional railway wireless communication systems but also Long Term Evolution systems which would be deployed as soon as possible, like as in Europe, China and the United States. In addition, we produced the domestic wireless communication networks for railway which KORAIL Corp. has been operating and the schemes and the plans of HSR field test for the fourth generation mobile communication which should be enforced by national research and development.

A study of the application of design elements for developing interior layout in Korean lightrail system (한국형 경량전철의 실내 공간 배치를 위한 디자인 요소 추출 및 적용에 관한 연구)

  • 최출헌
    • Korean Institute of Interior Design Journal
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    • no.38
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    • pp.182-191
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    • 2003
  • Until now, the carriage's design has been performed by built-carriage engineers in urban railway company without the notion of railway design. Furthermore, there is no prominent change the shape of exterior and interior design between the 1970's trains and the latest one. In terms of the notion of interior space, there are a lot of differences between Oriental and Western, also region of each countries. Especially, Among Orientals, Korean is not good at utilizing the small space and react effectively as compared to Japanese. Therefore, the interior space of public transportation needs to be relatively developed to highly reasonable level in Korea. The purpose of this paper is to apply vernacular design elements for developing interior design in Korean lightrail, which is the next generation public transportation. In order to develope ideal interior design, the interior layout in carriage considers the emotional aspect as well as functional one. Also, the research of vernacular design in urban train can provide national character and traditional design and can make a success in a practical use and a visual effect. This study focused on the application of vernacular design elements for developing the design-processed model will be proposed the outline of interior layout and the shape of interior trims in the public transportation in Korea.