• Title/Summary/Keyword: point grid method

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Development of new electrical leakage detection system for waste landfil (위생매립지 누출검지 및 누출위치 파악을 위한 전극배치시스템 개발)

  • Han, Sang-Jae;Shin, Hyun-Young;Jung, Jae-Hyun;Kim, Soo-Sam
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.03a
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    • pp.242-250
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    • 2008
  • Lining systems are used for two purpose in landfills : as covers to minimize leachate generation and surface water contamination by providing a barrier from precipitation and other percolating waters, and as containment liners to contain leachate and minimize its downward migration into underlying groundwater. So identifying leaks in landfill liners is an essential part of waste management. There are many leakage detection systems to monitor and seek leakage location, such as two electrode method, electrode grid method, diffusion hoses, capacitance sensors and tracers sensing cables. However, most of them can be applied in the new landfill construction sites because sensors must be installed prior to work. This paper presents a new type of leakage detection system, so called fence type electrode arrangement system, to monitor leakage and to seek leakage location in working landfill as well as new landfill. This system is based on the measurement of an electrical current flowing through leakage point. Series of laboratory tests are performed to investigate an availability of this system and this paper present some of these results.

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A Numerical Study on Smoke Movement in Longitudinal Ventilation Tunnel Fires Using a Zone Model (존 모델을 이용한 종류식 배연 터널 화재시 연기 거동에 대한 수치해석적 연구)

  • Kim, Hyun-Jeong;Roh, Jae-Seong;Kim, Dong-Hyeon;Jang, Yong-Jun;Ryou, Hong-Sun
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1319-1324
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    • 2007
  • Many researches have been performed to analyze the smoke movement in tunnel fires by using field model. Recently, FDS(Fire Dynamics Simulator) v.4, which is one of the field model and developed from NIST(National Institute of Standards and Technology), is widely used. In tunnel fires, FDS can show detail results in local point, but it has difficulties in boundary condition and taking long computing time as the number of grid increases. So, there is a need to use alternative method for tunnel fire simulation. A zone model is different kind of CFD method and solves ordinary differential equation based on conservation and auxiliary equations. It shows good macroscopic view in less computing time compared to field model. In this study, therefore, to confirm the applicability of CFAST in tunnel fire analysis, numerical simulations using CFAST are conducted to analyze smoke movement in longitudinal ventilation reduced-scale tunnel fires. Then the results are compared with experimental results. The differences of temperature and critical velocity between numerical results and experimental data are over $30^{\circ}C$ and 0.9m/s, respectively. These values are out of error range. It shows that CFAST 6.0 is hard to be used for tunnel fire simulation.

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Radial Reference Map-Based Location Fingerprinting Technique

  • Cho, Kyoung-Woo;Chang, Eun-Young;Oh, Chang-Heon
    • Journal of information and communication convergence engineering
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    • v.14 no.4
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    • pp.207-214
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    • 2016
  • In this paper, we propose a radial reference map-based location fingerprinting technique with constant spacing from an access point (AP) to all reference points by considering the minimum dynamic range of the received signal strength indicator (RSSI) obtained through an experiment conducted in an indoor environment. Because the minimum dynamic range, 12 dBm, of the RSSI appeared every 20 cm during the training stage, a cell spacing of 80 cm was applied. Furthermore, by considering the minimum dynamic range of an RSSI in the location estimation stage, when an RSSI exceeding the cumulative average by ${\pm}6dBm$ was received, a previously estimated location was provided. We also compared the location estimation accuracy of the proposed method with that of a conventional fingerprinting technique that uses a grid reference map, and found that the average location estimation accuracy of the conventional method was 21.8%, whereas that of the proposed technique was 90.9%.

Developing Program for Processing a Mass DEM Data using Streaming Method (스트리밍 방식을 이용한 대용량 DEM 프로세싱 프로그램의 개발)

  • Lee, Dong-Ha;Lee, Yong-Gyun;Suh, Yong-Cheol
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.4
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    • pp.61-66
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    • 2009
  • This Paper describes a new program called DEM Generator need to process DEM from LiDAR data or digital map data. It is difficult to generate raster DEM from LiDAR mass point data sets and digital maps too large to fit into memory. The DEM Generator was designed to process DEM and shaded relief image of GeoTiff format in order of streaming meshes; I/O minimize tag, delaunay triangle, natural neighborhood or TIN, temporary files and grid. It is expected that we can be improved the precision of DEM and solved the time consuming problem of DEM generating of a wider area.

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Monitoring Continuous k-Nearest Neighbor Queries, using c-MBR

  • Jung Ha-Rim;Kang Sang-Won;Song Moon-Bae;Im Seok-Jin;Kim Jong-Wan;Hwang Chong-Sun
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06c
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    • pp.46-48
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    • 2006
  • This paper addresses the problem of monitoring continuous k-nearest neighbor (k-NN) queries. Given a set of moving (or static) objects and a set of moving (or static) query points, monitoring continuous k-NN query retrieves and updates the closest k objects to a query point continually. In order to support location based services (LBSs) in highly dynamic environments, where objects and/or queries are frequently moving, monitoring continuous queries require real-time updated results when objects and/or queries change their locations. Thus, it is important to minimize time delay for maintaining up to date the results. In this paper, we present monitoring method to shorten time delay for updating continuous k-NN queries based on the notion of result region and the minimum bounding rectangle enclosing all objects in each cell, referred to as c-MBR, in the grid index structure. Simulations are conducted to show the efficiency of the proposed method.

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Experimental Result on Map Expansion of Underwater Robot Using Acoustic Range Sonar (수중 초음파 거리 센서를 이용한 수중 로봇의 2차원 지도 확장 실험)

  • Lee, Yeongjun;Choi, Jinwoo;Lee, Yoongeon;Choi, Hyun-Taek
    • The Journal of Korea Robotics Society
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    • v.13 no.2
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    • pp.79-85
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    • 2018
  • This study focuses on autonomous exploration based on map expansion for an underwater robot equipped with acoustic sonars. Map expansion is applicable to large-area mapping, but it may affect localization accuracy. Thus, as the key contribution of this paper, we propose a method for underwater autonomous exploration wherein the robot determines the trade-off between map expansion ratio and position accuracy, selects which of the two has higher priority, and then moves to a mission step. An occupancy grid map is synthesized by utilizing the measurements of an acoustic range sonar that determines the probability of occupancy. This information is then used to determine a path to the frontier, which becomes the new search point. During area searching and map building, the robot revisits artificial landmarks to improve its position accuracy as based on imaging sonar-based recognition and EKF-SLAM if the position accuracy is above the predetermined threshold. Additionally, real-time experiments were conducted by using an underwater robot, yShark, to validate the proposed method, and the analysis of the results is discussed herein.

Single-Phase Utility-Interactive Inverter for Residential Fuel Cell Generation System (가정용 연료전지 발전 시스템을 위한 단상 계통연계형 인버터)

  • Jung, Sang-Min;Bae, Young-Sang;Yu, Tae-Sik;Kim, Hyo-Sung;Choi, Se-Wan
    • The Transactions of the Korean Institute of Power Electronics
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    • v.12 no.1
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    • pp.81-88
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    • 2007
  • In this paper, a new single-phase utility-interactive inverter system for residential power generation with fuel cell is proposed. The proposed inverter system is not only capable of working in both stand-alone and grid-connected mode, but also ensures smooth and automatic transfer between the two modes of operation. The proposed control method has little steady-state error and good transient response characteristic. Also, the control method can be implemented using low-cost, fixed point DSP since it has simpler structure, smaller amount of calculation, and smaller number of sensors. The controller for the proposed utility-interactive inverter system is described, and the validity is verified through simulation and experiment.

Resonance Investigation and Active Damping Method for VSC-HVDC Transmission Systems under Unbalanced Faults

  • Tang, Xin;Zhan, Ruoshui;Xi, Yanhui;Xu, Xianyong
    • Journal of Power Electronics
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    • v.19 no.6
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    • pp.1467-1476
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    • 2019
  • Grid unbalanced faults can cause core saturation of power transformer and produce lower-order harmonics. These issues increase the electrical stress of power electronic devices and can cause a tripping of an entire HVDC system. In this paper, based on the positive-sequence and negative-sequence impedance model of a VSC-HVDC system as seen from the point of common connection (PCC), the resonance problem is analyzed and the factors determining the resonant frequency are obtained. Furthermore, to suppress over-voltage and over-current during resonance, a novel method using a virtual harmonic resistor is proposed. The virtual harmonic resistor emulates the role of a resistor connected in series with the commutating inductor without influencing the active and reactive power control. Simulation results in PSCAD/EMTDC show that the proposed control strategy can suppress resonant over-voltage and over-current. In addition, it can be seen that the proposed strategy improves the safety of the VSC-HVDC system under unbalanced faults.

Evaluation of soil spatial variability by micro-structure simulation

  • Fei, Suozhu;Tan, Xiaohui;Wang, Xue;Du, Linfeng;Sun, Zhihao
    • Geomechanics and Engineering
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    • v.17 no.6
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    • pp.565-572
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    • 2019
  • Spatial variability is an inherent characteristic of soil, and auto-correlation length (ACL) is a very important parameter in the reliability or probabilistic analyses of geotechnical engineering that consider the spatial variability of soils. Current methods for estimating the ACL need a large amount of laboratory or in-situ experiments, which is a great obstacle to the application of random field theory to geotechnical reliability analysis and design. To estimate the ACL reasonably and efficiently, we propose a micro-structure based numerical simulation method. The quartet structure generation set algorithm is used to generate stochastic numerical micro-structure of soils, and scanning electron microscope test of soil samples combined with digital image processing technique is adopted to obtain parameters needed in the QSGS algorithm. Then, 2-point correlation function is adopted to calculate the ACL based on the generated numerical micro-structure of soils. Results of a case study shows that the ACL can be estimated efficiently using the proposed method. Sensitivity analysis demonstrates that the ACL will become stable with the increase of mesh density and model size. A model size of $300{\times}300$ with a grid size of $1{\times}1$ is suitable for the calculation of the ACL of clayey soils.

3D Terrain Reconstruction Using 2D Laser Range Finder and Camera Based on Cubic Grid for UGV Navigation (무인 차량의 자율 주행을 위한 2차원 레이저 거리 센서와 카메라를 이용한 입방형 격자 기반의 3차원 지형형상 복원)

  • Joung, Ji-Hoon;An, Kwang-Ho;Kang, Jung-Won;Kim, Woo-Hyun;Chung, Myung-Jin
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.26-34
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    • 2008
  • The information of traversability and path planning is essential for UGV(Unmanned Ground Vehicle) navigation. Such information can be obtained by analyzing 3D terrain. In this paper, we present the method of 3D terrain modeling with color information from a camera, precise distance information from a 2D Laser Range Finder(LRF) and wheel encoder information from mobile robot with less data. And also we present the method of 3B terrain modeling with the information from GPS/IMU and 2D LRF with less data. To fuse the color information from camera and distance information from 2D LRF, we obtain extrinsic parameters between a camera and LRF using planar pattern. We set up such a fused system on a mobile robot and make an experiment on indoor environment. And we make an experiment on outdoor environment to reconstruction 3D terrain with 2D LRF and GPS/IMU(Inertial Measurement Unit). The obtained 3D terrain model is based on points and requires large amount of data. To reduce the amount of data, we use cubic grid-based model instead of point-based model.