• Title/Summary/Keyword: generation of trajectory

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Coal Ash Combustion Simulation for 500-MW Coal-firing Boiler (500MW급 화력발전 보일러의 석탄회 연소 시뮬레이션)

  • Hwang, Min-Young;Jeon, Chung-Hwan;Song, Ju-Hun;Kim, Gyu-Bo;Kim, Seung-Mo;Park, Myung-Suk
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.35 no.9
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    • pp.939-946
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    • 2011
  • In thermal power generation companies, the recycling of refined ash (LOI < 6%) obtained from a PC-firing furnace is beneficial for the companies, e.g., it can be used for making lightweight aggregates. However, ash having a high LOI, which cannot be reused, is still buried in the ground. To obtain refined ash, the re-burning of high-LOI ash (LOI > 6%) in a PC-firing furnace can be an alternative. In this study, a numerical analysis was performed to demonstrate the effects of ash re-burning. An experimental constant value was decided by TGA (thermo-gravimetric analysis), and a DTF (drop-tube furnace) was used in the experiment for calculating the combustion of ash. On the basis of the trajectory of the moving particles of coal and ash, it was concluded that supplying ash near the burner, which is located high above the ground, is appropriate. On the basis of numerical results, it was concluded that an ash supply rate of 6 ton/h is suitable for combustion, without affecting the PC-firing boiler.

An Extension of MSDL for Obtaining Weapon Effectiveness Data in a Military Simulation (국방 시뮬레이션에서 무기효과 데이터 획득을 위한 MSDL의 확장)

  • Lee, Sangjin;Oh, Hyun-Shik;Kim, Dohyung;Rhie, Ye Lim;Lee, Sunju
    • Journal of the Korea Society for Simulation
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    • v.30 no.2
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    • pp.1-9
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    • 2021
  • Many factors such as wind direction, wind strength, temperature, and obstacles affect a munition's trajectory. Since these factors eventually determines the probability of hit and the hitting point of a target, these factors should be considered to obtain reliable weapon effectiveness data. In this study, we propose the extension of the MSDL(Military Scenario Definition Language) to reflect these factors to improve the reliability of weapon effectiveness data. Based on the existing MSDL, which has been used to set the initial condition of a military simulation scenarios, the newly identified subelements are added in ScenarioID, Environment, Organizations, and Installations as a scenario schema. Also, DamageAssessment and DesignOfExperiments element are added to make weapon effectiveness data easily. The extended MSDL enables to automatically generate the simulation scenarios that reflect various factors which affect the probability of hit or kill. This extended MSDL is applied to an integrated simulation software of weapon systems, named AddSIM version 4.0 for generation of weapon effectiveness data.

Methodology for Determining RSE Spacing for Vehicle-Infrastructure Integration(VII) Based Traffic Information System (Focused on Uninterrupted Traffic Flow) (차량-인프라 연계(VII) 기반 교통정보시스템의 RSE 설치간격 결정 방법론 (연속류를 중심으로))

  • Park, Jun-Hyeong;O, Cheol;Im, Hui-Seop;Gang, Gyeong-Pyo
    • Journal of Korean Society of Transportation
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    • v.27 no.6
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    • pp.29-44
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    • 2009
  • A variety of research efforts, using advanced wireless communication technologies, have been made to develop more reliable traffic information system. This study presents a novel decentralized traffic information system based on vehicle infrastructure integration (VII). A major objective of this study was also to devise a methodology for determining appropriate spacing of roadside equipment (RSE) to fully exploit the benefits of the proposed VII-based traffic information system. Evaluation of travel time estimation accuracy was conducted with various RSE spacings and the market penetration rates of equipped vehicle. A microscopic traffic simulator, VISSIM, was used to obtain individual vehicle travel information for the evaluation. In addition, the ANOVA tests were conducted to draw statistically significant results of simulation analyses in determining the RSE spacing. It is expected that the proposed methodology will be a valuable precursor to implementing capability-enhanced next generation traffic information systems under the forthcoming ubiquitous transportation environment.

Designing A V2V based Traffic Surveillance System and Its Functional Requirements (V2V기반 교통정보수집체계 설계 및 요구사항분석)

  • Hong, Seung-Pyo;Oh, Cheol;Kim, Won-Kyu;Kim, Hyun-Mi;Kim, Tae-Hyung
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.251-264
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    • 2008
  • One of the crucial elements to fully facilitate the various benefits of intelligent transportation systems (ITS) is to obtain more reliable traffic monitoring in real time. To date, point and section-based traffic measurements have been available through existing surveillance technologies, such as loops and automatic vehicle identification (AVI) systems. However, seamless and more reliable traffic data are required for more effective traffic information provision and operations. Technology advancements including vehicle tracking and wireless communication enable the acceleration of the availability of individual vehicle travel information. This study presents a UBIquitous PRObe vehicle Surveillance System (UBIPROSS) using vehicle-to-vehicle (V2V) wireless communications. Seamless vehicle travel information, including origin-destination information, speed, travel times, and other data, can be obtained by the proposed UBIPROSS. A set of parameters associated with functional requirements of the UBIPROSS, which include the market penetration rate (MPR) of equipped vehicles, V2V communication range, and travel time update interval, are investigated by a Monte Carlo simulation- (MCS) based evaluation framework. In addition, this paper describes prototypical implementation. Field test results and identified technical issues are also discussed. It is expected that the proposed system would be an invaluable precursor to develop a next-generation traffic surveillance system.

Frequent Origin-Destination Sequence Pattern Analysis from Taxi Trajectories (택시 기종점 빈번 순차 패턴 분석)

  • Lee, Tae Young;Jeon, Seung Bae;Jeong, Myeong Hun;Choi, Yun Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.3
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    • pp.461-467
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    • 2019
  • Advances in location-aware and IoT (Internet of Things) technology increase the rapid generation of massive movement data. Knowledge discovery from massive movement data helps us to understand the urban flow and traffic management. This paper proposes a method to analyze frequent origin-destination sequence patterns from irregular spatiotemporal taxi pick-up locations. The proposed method starts by conducting cluster analysis and then run a frequent sequence pattern analysis based on identified clusters as a base unit. The experimental data is Seoul taxi trajectory data between 7 a.m. and 9 a.m. during one week. The experimental results present that significant frequent sequence patterns occur within Gangnam. The significant frequent sequence patterns of different regions are identified between Gangnam and Seoul City Hall area. Further, this study uses administrative boundaries as a base unit. The results based on administrative boundaries fails to detect the frequent sequence patterns between different regions. The proposed method can be applied to decrease not only taxis' empty-loaded rate, but also improve urban flow management.