• Title/Summary/Keyword: Dynamic Collection

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The analysis of the dynamic response between the pantograph and overhead wire (고속열차 주행을 위한 판토그래프와 가선시스템과의 동적응답 해석)

  • Shin Seung-Kwon;Song Yong-Soo;Mun Hyung-Scok;Eum Ki-Young;Kim Jae-Mun
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1366-1371
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    • 2004
  • The development of the European railway high speed network brings new problems related to the interoperability across the railways of different countries. The pantograph and the overhead wire form a dynamic coupled system and they affect each other through the contact force. Unfortunately, as the operational speed of a train increases, the vibration of the pantograph and the overhead wire also increases. This may lead to a zero contact force between the pantograph head and the overhead wire, which can results in the loss of contact, arching and abrasion. If the arching and spark happen between the pantograph and the overhead catenary system, the EMI(electro magnetic interface) and noises may occur. After an, the quality of current collection is deteriorated. This paper describes the dynamic response between the pantograph and catenary system by the numerical simulations and predicts the possibility of operating the high speed train in the conventional lines.

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Influencing Factors on Dynamic Characteristics of Pantograph of Korean High Speed Train

  • Eom, Beom-Gyu;Mok, Jin-Yong;Lee, Hi-Sung
    • International Journal of Railway
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    • v.2 no.4
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    • pp.187-192
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    • 2009
  • Running test of the Korean High-Speed Train using remote controlled measuring system have been executed on the high speed track in order to evaluate and verify the performance of the train. In this paper, influencing factors on the contact force which represents dynamic characteristics between the pantograph and contact wire are analyzed, according to the track condition, span type and running condition. By the analytical study on the test data, we figured out that contact force and dynamic characteristics of the pantograph are mainly affected by running behavior of the train and the span distance which the train passes.

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The Effects of Dynamic Imagery Therapy on "Anger-in" and Immune Function in Patients with Breast Cancer (역동적 심상치료가 유방암환자의 억압된 분노와 면역기능에 미치는 효과)

  • Kim, Eun-Sim
    • Korean Journal of Adult Nursing
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    • v.15 no.4
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    • pp.639-649
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    • 2003
  • Purpose: The purpose of this study was to identify the effect of dynamic imagery therapy on "anger-in" and immune function in patients with breast cancer. Method: Dynamic imagery therapy was given for 10 sessions with 2 times informative education. Data collection was from June, 24th to August, 12th 2002. The participants were experimental group 15, control group 15. This study was designed using a quasi-experimental approach with non-equivalent Pre test-Post test Design. The instruments used in this study include the anger scale developed by Spielberger(1972) and modified by Chon, Kyum Koo (1996), The data was analysed with $\chi^2$-test, t-test, ANOVA and ANCOVA. Result: 1) That the level of "Anger-in" in patients will be significantly lower than that of the control group was supported (p<.001). 2) That the level of T3 lymphocyte and NK Cells, IgG. Cortisol in patients will be significantly lower than that of the control group was supported (T3, IgG: p<.05, Cortisol p<.001). Conclusion: The dynamic imagery therapy is suggested as an effective nursing intervention to reduce anger level and increase immune function for patients with breast cancer.

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Experience with an On-board Weighing System Solution for Heavy Vehicles

  • Radoicic, Goran;Jovanovic, Miomir;Arsic, Miodrag
    • ETRI Journal
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    • v.38 no.4
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    • pp.787-797
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    • 2016
  • Mining, construction, and other special vehicles for heavy use are designed to work under high-performance and off-road working conditions. The driving and executive mechanisms of the support structures and superstructures of these vehicles frequently operate under high loads. Such high loads place the equipment under constant risk of an accident and can jeopardize the dynamic stability of the machinery. An experimental investigation was conducted on a refuse collection vehicle. The aim of this research was to determine the working conditions of a real vehicle: the kinematics of the waste container, that is, a hydraulic rotate drum for waste collection; the dynamics of the load manipulator (superstructure); the vibrations of the vehicle mass; and the strain (stress) of the elements responsible for the supporting structure. For an examination of the force (weight) on the rear axle of a heavy vehicle, caused by its own weight and additional load, a universal measurement system is proposed. As a result of this investigation, we propose an alternative system for continuous vehicle weighing during waste collection while in motion, that is, an on-board weighing system, and provide suggestions for measuring equipment designs.

Study on the current collection & vibration characteristics of the KHST's pantograph through trial running test up to 350km/h (한국형 고속열차의 350km/h 본선 주행시험을 통해 본 고속열차용 팬터그래프의 이선 특성과 동적 특성 고찰)

  • Mok, Jin-Yong;Park, Chan-Kyoung;Park, Choon-Soo;Kim, Ki-Hwan
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.05a
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    • pp.459-462
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    • 2005
  • The KHST(Korean High Speed Train) which had been developed by through 'G7-R&D project' has succeeded trial running test up to 350km/h on the Kyoung-Bu High Speed Track in December 16th, 2004. In order to evaluate the function and characteristics of KHST, various experimental conditions have been considered and conducted. In this paper, measured current collection characteristics and dynamic behaviors of KHST's pantograph are analysed over 300 to 350km/h in running speed of KHST. A measuring system developed and installed on the KHST for measuring the performance and mechanical characteristics of the KHST's pantograph was used for this trial running test and eventually, we proofed that KHST has a remarkable and stable current collection characteristics as it had been designed.

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Improvement of the Performance of Solar Cooling Heating Systems(I) - Dynamic Load Calculation Using TRNSYS and an Optimization of Solar Systems - (태양열에 의한 냉방 및 난방시스템의 성능향상(I) - TRNSYS에 의한 동직열부하 계산과 태양열 시스템의 최적화 -)

  • Kang, Y.T.;Kim, H.K.;Ro, S.T.
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.17 no.6
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    • pp.696-707
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    • 1988
  • This study simulates a typical solar system using the transient simulation program TRNSYS, and calculates the maximum cooling load of the model room of $50m^2$. In this study, energy rate control method is used in calculating a maximum cooling load. On the ground of the maximum cooling load of the model room, the variables that have an effect on the solar collection performance of the solar system are made a selection. Also in this study the trend of the solar collection performance is shown as the variables change. The results show that the variables which have an effect on the collection performance are collector area, collector mass flow rate, collector slope and the volume of storage tank, and the optimal value of Ac/Vt is not constant but varies as the collector area and the collector mass flow rate. Also the results show that for cooling system the optimal value of the collector slope is latitude minus $15^{\circ}$ during the seasonal operations, and twenty percent of the maximum cooling load is saved with the aid of the solar energy.

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Development of Big-data Management Platform Considering Docker Based Real Time Data Connecting and Processing Environments (도커 기반의 실시간 데이터 연계 및 처리 환경을 고려한 빅데이터 관리 플랫폼 개발)

  • Kim, Dong Gil;Park, Yong-Soon;Chung, Tae-Yun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.4
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    • pp.153-161
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    • 2021
  • Real-time access is required to handle continuous and unstructured data and should be flexible in management under dynamic state. Platform can be built to allow data collection, storage, and processing from local-server or multi-server. Although the former centralize method is easy to control, it creates an overload problem because it proceeds all the processing in one unit, and the latter distributed method performs parallel processing, so it is fast to respond and can easily scale system capacity, but the design is complex. This paper provides data collection and processing on one platform to derive significant insights from various data held by an enterprise or agency in the latter manner, which is intuitively available on dashboards and utilizes Spark to improve distributed processing performance. All service utilize dockers to distribute and management. The data used in this study was 100% collected from Kafka, showing that when the file size is 4.4 gigabytes, the data processing speed in spark cluster mode is 2 minute 15 seconds, about 3 minutes 19 seconds faster than the local mode.

A development of travel time estimation algorithm fusing GPS probe and loop detector (GPS probe 및 루프 검지기 자료의 융합을 통한 통행시간추정 알고리즘 개발)

  • 정연식;최기주
    • Journal of Korean Society of Transportation
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    • v.17 no.3
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    • pp.97-116
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    • 1999
  • The growing demand for the real time traffic information is bringing about the category and number of traffic collection mechanism in the era of ITS. There are, however, two problems in making data into information using various traffic data. First, the information making process of making data into the representative information, for each traffic collection mechanism, for the specified analysis periods is required. Second, the integration process of fusing each representative information into "the information" for each link out of each source is also required. That is, both data reduction and/or data to information process and information fusion are required. This article is focusing on the development of information fusing algorithm based on voting technique, fuzzy regression, and, Bayesian pooling technique for estimating the dynamic link travel time of networks. The proposed algorithm has been validated using the field experiment data out of GPS probes and detectors over the roadways and the estimated link travel time from the algorithm is proved to be more useful than the mere arithmetic mean from each traffic source.

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Laboratory Misdiagnosis of von Willebrand Disease Caused by Preanalytical Issues: Sample Collection, Transportation, and Processing

  • Kim, In-Suk
    • Journal of Interdisciplinary Genomics
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    • v.2 no.1
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    • pp.5-9
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    • 2020
  • von Willebrand disease (VWD) is a genetic bleeding disorders caused by a deficiency of von Willebrand factor (VWF). Diagnosis or exclusion of VWD is not an easy task for most clinicians. These difficulties in diagnosis or exclusion of VWD may be due to preanalytic, analytical and postanalytic laboratory issues. Analytical systems to diagnose VWD may produce misleading results because of limitations in their dynamic range of measurement and low sensitivity. However, preanalytical issues such as sample collection, processing, and transportation affect the diagnosis of VWD profoundly. We will review here the common preanlytical issues that may impact the laboratory diagnosis of VWD.

Time-Aware Wear Leveling by Combining Garbage Collector and Static Wear Leveler for NAND Flash Memory System

  • Hwang, Sang-Ho;Kwak, Jong Wook
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.3
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    • pp.1-8
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    • 2017
  • In this paper, we propose a new hybrid wear leveling technique for NAND Flash memory, called Time-Aware Wear Leveling (TAWL). Our proposal prolongs the lifetime of NAND Flash memory by using dynamic wear leveling technique which considers the wear level of hot blocks as well as static wear leveling technique which considers the wear level of the whole blocks. TAWL also reduces the overhead of garbage collection by separating hot data and cold data using update frequency rate. We showed that TAWL enhanced the lifetime of NAND flash memory up to 220% compared with previous wear leveling techniques and our technique also reduced the number of copy operations of garbage collections by separating hot and cold data up to 45%.