• Title/Summary/Keyword: Raw Data Simulation

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Design of Collecting System for Traffic Information using Loop Detector and Piezzo Sensor (루프검지기와 피에조 센서를 이용한 교통정보 수집시스템 설계)

  • Yang, Seung-Hun;Han, Kyong-Ho
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2956-2958
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    • 2000
  • This paper describes the design of a real time traffic data acquisition system using loop detector and piezzo sensor. Loop detector is the cheapest method to measure the speed and piezzo is used to detect the vehicle axle information. A ISA slot based I/O board is designed for data acquisition and PC process the raw traffic data and transfer the data to the host system. Simulation kit is designed with toy car kits. simulated loop detector and piezzo sensor. The data acquisition system collects up to 10 lane highway traffic data such as vehicle count. speed. length axle count. distance between the axles. The data is processed to generate traffic count, vehicle classification, which are to be used for ITS. The system architecture and simulation data is included and the system will be tested for field operation.

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The Multi-Agent Simulation of Archaic State Formation (다중 에이전트 기반의 고대 국가 형성 시뮬레이션)

  • S. Kim;A. Lazar;R.G. Reynolds
    • Proceedings of the Korea Society for Simulation Conference
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    • 2003.06a
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    • pp.91-100
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    • 2003
  • In this paper we investigate the role that warfare played In the formation of the network of alliances between sites that are associated with the formation of the state in the Valley of Oaxaca, Mexico. A model of state formation proposed by Marcos and Flannery (1996) is used as the basis for an agent-based simulation model. Agents reside in sites and their actions are constrained by knowledge extracted from the Oaxaca Surface Archaeological Survey (Kowalewski 1989). The simulation is run with two different sets of constraint rules for the agents. The first set is based upon the raw data collected in the surface survey. This represents a total of 79 sites and constitutes a minimal level of warfare (raiding) in the Valley. The other site represents the generalization of these constraints to sites with similar locational characteristics. This set corresponds to 987 sites and represents a much more active role for warfare in the Valley. The rules were produced by a data mining technique, Decision Trees, guided by Genetic Algorithms. Simulations were run using the two different rule sets and compared with each other and the archaeological data for the Valley. The results strongly suggest that warfare was a necessary process in the aggregations of resources needed to support the emergence of the state in the Valley.

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Kinetic Analysis of Transglycosylation Reaction of Stevioside Using Raw Starch as a Glycosyl Donor (생전분을 당공여체로 한 Stevioside의 당전이 반응의 동력학적 해석)

  • 박동찬;백승걸이용현
    • KSBB Journal
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    • v.9 no.2
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    • pp.108-114
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    • 1994
  • Kinetic equations for transglycosylation of stevioside in the attrition coupled reaction system using raw starch as a glycosyl donor were derived considering that the reaction was carried out through two steps; production of cyclodextrin(CD) from raw starch in the attrition coupled reaction system and then transglycosylation of glycosyl residues to stevioside from produced CD. Kinetic constants of derived equation were evaluated. The simulation result showed that the derived kinetic equations could predict the experimental data reasonably well and that can be utilized for optimization and scale-up of transglycosylation reactor and process developments.

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Detection of Subsurface Defects in Metal Materials Using Infrared Thermography; Image Processing and Finite Element Modeling

  • Ranjit, Shrestha;Kim, Won Tae
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.2
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    • pp.128-134
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    • 2014
  • Infrared thermography is an emerging approach to non-contact, non-intrusive, and non-destructive inspection of various solid materials such as metals, composites, and semiconductors for industrial and research interests. In this study, data processing was applied to infrared thermography measurements to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, raw images were often not appropriate. Thus, various data analysis methods were used at the pre-processing and processing levels in data processing programs for quantitative analysis of defect detection and characterization; these increased the infrared non-destructive testing capabilities since subtle defects signature became apparent. A 3D finite element simulation was performed to verify and analyze the data obtained from both the experiment and the image processing techniques.

FFT based Monitoring System for Combustion Vibration Data Processing of Gas Turbine (가스터빈 연소진동 데이터 처리를 위한 FFT 기반의 모니터링 시스템)

  • Lee, Sang-Hyeok;Kang, Feel-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.12
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    • pp.2327-2334
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    • 2007
  • This paper presents a method for improvement of communication speed and reduction of data storage space in gas turbine monitoring system to acquire, save, and display combustion vibration data. The proposed method implements FFT from sampled raw data. The FFT result data are encoded to be transferred to monitoring PC for storage. By this way, it can reduce data storage space. To display the received data, it needs inverse FFT to reconstruct original signal. To verify the validity and efficiency of the proposed scheme, computer-aided simulation are carried out. It includes the analyzed results the relationship between FFT's order and Gibb's Phenomenon. Finally, high-performance of the proposed method is proved by combustion experiment results using a prototype gas turbine.

Composition of effective monitoring system using an interpolation (보간법을 이용한 효율적인 모니터링 시스템 구성)

  • Lee, Sang-Hyeok;Kang, Feel-Soon;Jung, Da-Hun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.235-238
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    • 2007
  • This paper presents an efficient data storage and reconstruction method in data acquisition and processing of monitoring system. The proposed method extracts minimum data using an interpolation from raw data which are acquired from a target system. The algorithm for data acquisition and reconstruction is based on Cubic Hermite interpolation. To verify the validity of the proposed scheme, we presents simulation results and it is applied to a monitoring system for grid-connected photovoltaic power generation system to prove the high-performance of the proposed method.

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A Simulation Study on Microbiological Evaluation of Kimbap Manufacturing Process in Summer and Winter (시뮬레이션을 통한 김밥 생산과정의 계절별 미생물적 품질평가)

  • 안애경;이혜상
    • Korean Journal of Community Nutrition
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    • v.5 no.2
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    • pp.333-342
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    • 2000
  • The purpose of this study was to evaluate microbiological quality for each stage of the kimbap manufacturing process in summer and winter. Under the various controlled conditions through the simulation, the time-temperature data were collected and the microbiological quality(including total plate count, coliforms, and fecal coliform count) were evaluated. To determine the expected shelf life of Kimbap, a microbiolgical analysis according to the length of the storage time was performed. The microbiological analysis on both sanitary and unsanitary utensils was compared. The microbiological quality of the raw materials of Kimbap in summer was not at an acceptable level, but that of the heat-treated raw materials of Kimbap met the requirement according to the standards set by the Natick Research Center. The number of the microorganisms of the unsanitary utensils and the Kimbap made from unsanitary utensils was more than the acceptable criteria. Sanitary management is necessary to prohibit cross-contamination and to manufacture Kimbap safely. Results from storage times and storage temperature conditions(chilled and room-temperature storage) showed that the expected shelf-life of the Kimbap with the room-temperature storage was as less than 3 hours in summer, while it was as 7-10 hours in winter.

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Performance Analysis of GPS/INS Integrated Navigation Systems (GPS/INS 통합 항법시스템의 성능분석에 관한 연구)

  • Cho, J.B.;Won, J.H.;Ko, S.J.;Lee, J.S.
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.822-825
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    • 1999
  • This paper compares two methods of GPS/INS integration ; tightly-coupled integration ana loosely-coupled integration. In the tightly -coupled method an integrated Kalman filter is designed to process raw GPS measurement data for state update and INS data for propagation. The loosely-coupled integration method uses the solution outputs from a stand-alone GPS receiver for update. The loosely-coupled method is simpler and can readily be applied to off-the-self receivers and sensors while the tightly-coupled integration requires access to raw measurement mechanism of the receiver. Simulation result show that the tightly-coupled integration system exhibits better performance and robustness than loosely-coupled integration method.

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The Generation of Directional Velocity Grid Map for Traversability Analysis of Unmanned Ground Vehicle (무인차량의 주행성분석을 위한 방향별 속도지도 생성)

  • Lee, Young-Il;Lee, Ho-Joo;Jee, Tae-Young
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.5
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    • pp.549-556
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    • 2009
  • One of the basic technology for implementing the autonomy of UGV(Unmanned Ground Vehicle) is a path planning algorithm using obstacle and raw terrain information which are gathered from perception sensors such as stereo camera and laser scanner. In this paper, we propose a generation method of DVGM(Directional Velocity Grid Map) which have traverse speed of UGV for the five heading directions except the rear one. The fuzzy system is designed to generate a resonable traveling speed for DVGM from current patch to the next one by using terrain slope, roughness and obstacle information extracted from raw world model data. A simulation is conducted with world model data sampled from real terrain so as to verify the performance of proposed fuzzy inference system.

Uncertainty analysis of speed-power performance based on measured raw data in sea trials

  • Seo, Dae-Won;Oh, Jungkeun
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.13 no.1
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    • pp.396-404
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    • 2021
  • It is important to verify that the contracted speed-power performance of a ship is satisfied in sea trials. International Organization for Standardization (ISO) has published the procedure for measuring and assessing ship speed during sea trials. The results obtained from actual sea conditions inevitably include various uncertainty factors. In this study, double run tests were performed on one container ship to analyze the uncertainty of sea trial on three maximum continuous rating conditions. The uncertainty factors and scale of uncertainty were examined based on the measured raw data during sea trial. The results indicate that the expanded uncertainty for ideal power performance is approximately ±1.4% at 95% confidence level (coverage factor k = 2) and most of the uncertainty factors were because of the shaft power measurement system.