• Title/Summary/Keyword: location detection

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Detection and Location of Partial Discharge in Oil Filled Transformer

  • Lee, Seung-Whan;Oh, Hak-Joon;Chung, Chan-Soo;Yun, Man-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.98.3-98
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    • 2001
  • The research for detecting of insulating deterioration in transformer has been studied from long ago. Analysis method of combustible gas, which is included in insulating oil, has been widely used in detection of transformer pre-fault detection due to the effectiveness of its method. Recently the fault effect of the large transformer is very critical in a power system, therefore the on-line monitoring and diagnostic system is needed. In addition, the more accurate method of detecting a Partial Discharge (PD) location should be developed. For preventive maintenance against discharge failures, it is important not only to detect the discharges, but also to accurately estimate their positions. However ...

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Application of curvature of residual operational deflection shape (R-ODS) for multiple-crack detection in structures

  • Asnaashari, Erfan;Sinha, Jyoti K.
    • Structural Monitoring and Maintenance
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    • v.1 no.3
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    • pp.309-322
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    • 2014
  • Detection of fatigue cracks at an early stage of their development is important in structural health monitoring. The breathing of cracks in a structure generates higher harmonic components of the exciting frequency in the frequency spectrum. Previously, the residual operational deflection shape (R-ODS) method was successfully applied to beams with a single crack. The method is based on the ODSs at the exciting frequency and its higher harmonic components which consider both amplitude and phase information of responses to map the deflection pattern of structures. Although the R-ODS method shows the location of a single crack clearly, its identification for the location of multiple cracks in a structure is not always obvious. Therefore, an improvement to the R-ODS method is presented here to make the identification process distinct for the beams with multiple cracks. Numerical and experimental examples are utilised to investigate the effectiveness of the improved method.

Topological Boundary Detection in Wireless Sensor Networks

  • Dinh, Thanh Le
    • Journal of Information Processing Systems
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    • v.5 no.3
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    • pp.145-150
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    • 2009
  • The awareness of boundaries in wireless sensor networks has many benefits. The identification of boundaries is especially challenging since typical wireless sensor networks consist of low-capability nodes that are unaware of their geographic location. In this paper, we propose a simple, efficient algorithm to detect nodes that are near the boundary of the sensor field as well as near the boundaries of holes. Our algorithm relies purely on the connectivity information of the underlying communication graph and does not require any information on the location of nodes. We introduce the 2-neighbor graph concept, and then make use of it to identify nodes near boundaries. The results of our experiment show that our algorithm carries out the task of topological boundary detection correctly and efficiently.

Effect of Applied Voltage on the Reliability of Coating Flaw Detection of Pipe with Different Buried Depths

  • Lim, B.T.;Kim, M.G.;Kim, K.T.;Chang, H.Y.;Kim, Y.S.
    • Corrosion Science and Technology
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    • v.18 no.6
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    • pp.277-284
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    • 2019
  • External corrosion control of buried pipe can be achieved by the combination of barrier coating and cathodic protection. Coating damage and deterioration can be induced by many reasons; damage during handling and laying, enhanced failure at low temperatures, failure during commissioning and operation, disbanding due to inadequate surface cleaning, rock penetration during installation and service etc. This work focused on the effect of survey conditions on the reliability of coating flaw detection of buried pipes. The effects of applied voltage and anode location on the detection reliability of coating flaw of buried pipe in soil with the resistivity of ca. 25.8 kΩ·cm were discussed. Higher applied voltage increased the detection reliability, regardless of buried depth, but deeper burial depth reduced the reliability. The location of the anode has influenced on the detection reliability. This behaviour may be induced by the variation of current distribution by the applied voltage and buried depth. From the relationship between the applied voltage and reliability, the needed detection potential to get a desire detection reliability can be calculated to get 100% detection reliability using the derived equation.

The study on the LBS for WiBro repeater (휴대인터넷 중계기를 위한 LBS 적용 방안에 관한 연구)

  • Ahn Jun-Bae;Ryoo Kyoo-Tae
    • 한국정보통신설비학회:학술대회논문집
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    • 2006.08a
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    • pp.53-56
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    • 2006
  • WiBro service provider have made an effort to provide the subscriber's location and have deployed LBS system using cell-ID method. Cell-ID method has a location error problem if repeater is used on the other cell places at the same time. We introduce and analysis LMU(Location Measurement Unit) on the repeater fer location detection of subscriber which is serviced via the repeater. In this paper we propose the method using LMU on the repeater to avoid these location errors and to provide more exact location to the subscriber. we can conclude that the location error can be more exact at the building which uses repeater. It represents in which level the subscriber is serviced at the building.

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Efficient Stack Smashing Attack Detection Method Using DSLR (DSLR을 이용한 효율적인 스택스매싱 공격탐지 방법)

  • Do Yeong Hwang;Dong-Young Yoo
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.9
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    • pp.283-290
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    • 2023
  • With the recent steady development of IoT technology, it is widely used in medical systems and smart TV watches. 66% of software development is developed through language C, which is vulnerable to memory attacks, and acts as a threat to IoT devices using language C. A stack-smashing overflow attack inserts a value larger than the user-defined buffer size, overwriting the area where the return address is stored, preventing the program from operating normally. IoT devices with low memory capacity are vulnerable to stack smashing overflow attacks. In addition, if the existing vaccine program is applied as it is, the IoT device will not operate normally. In order to defend against stack smashing overflow attacks on IoT devices, we used canaries among several detection methods to set conditions with random values, checksum, and DSLR (random storage locations), respectively. Two canaries were placed within the buffer, one in front of the return address, which is the end of the buffer, and the other was stored in a random location in-buffer. This makes it difficult for an attacker to guess the location of a canary stored in a fixed location by storing the canary in a random location because it is easy for an attacker to predict its location. After executing the detection program, after a stack smashing overflow attack occurs, if each condition is satisfied, the program is terminated. The set conditions were combined to create a number of eight cases and tested. Through this, it was found that it is more efficient to use a detection method using DSLR than a detection method using multiple conditions for IoT devices.

A study on the Site Survey and Detection Efficiency for Kepco Lightning Detection and Information Network (낙뢰측정 네트워크(KLDNet)를 위한 감지기 사이트서베이와 낙뢰 감지율 검토)

  • Woo, J.W.;Kwak, J.S.;Moon, J.D.
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.55 no.11
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    • pp.532-537
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    • 2006
  • Lightning induced faults accounts for more than 66% at the transmission lines of KEPCO. The lightning causes damages to power system equipments including transmission line, the blackout of electricity and the electro-magnetic interference. Because of this reason, we need the real time lightning information for the optimal operation of power system. And, it is required to obtain and accumulate the lightning current parameters for the insulation design. In 2005, KEPRI constructed a lightning detection network, the KLDNet (i.e. Kepco Lightning Detection & Information System) and launched a lightning information service for KEPCO customers. It is intended to provide data service on the operation of transmission lines and collect lightning-related data, which is the most important factor regulating power system design and operation. The new system will replace LPATS, the old detection system, which has been operating since 1995 and is rapidly failing in terms of both detection performance and location accuracy. The purpose of this paper is to explain the work performed and the results of that work in performing a site survey of several locations. The purpose of the site survey is to find locations acceptable for the installation of a lightning location receiver in support of a Lightning detection system(LDS). A restriction was placed on the surveyed locations, as they must belong to the Korea Electric Power Company. This requirement was made to facilitate the communication needs of the LDS network. Total of 15 sites were evaluated as possible LDS sensor sites. Some of the sites were rejected for physical reasons and therefore no electrical testing was performed. Of the 15 sites, total of 10 sites were considered acceptable and 5 sites were rejected for various reason. In this paper, we would like to explain the site survey and detection efficiency for LDS.

Overview of Image-based Object Recognition AI technology for Autonomous Vehicles (자율주행 차량 영상 기반 객체 인식 인공지능 기술 현황)

  • Lim, Huhnkuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1117-1123
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    • 2021
  • Object recognition is to identify the location and class of a specific object by analyzing the given image when a specific image is input. One of the fields in which object recognition technology is actively applied in recent years is autonomous vehicles, and this paper describes the trend of image-based object recognition artificial intelligence technology in autonomous vehicles. The image-based object detection algorithm has recently been narrowed down to two methods (a single-step detection method and a two-step detection method), and we will analyze and organize them around this. The advantages and disadvantages of the two detection methods are analyzed and presented, and the YOLO/SSD algorithm belonging to the single-step detection method and the R-CNN/Faster R-CNN algorithm belonging to the two-step detection method are analyzed and described. This will allow the algorithms suitable for each object recognition application required for autonomous driving to be selectively selected and R&D.

Fundamental Experiment for the Development of Water Pipeline Locator (상수도관로 위치탐사 장비개발을 위한 기초실험)

  • Park, Sang-Bong;Kim, Jin-Won;Oh, Kyeong-Seok;Kim, Min-Cheol;Koo, Ja-yong
    • Journal of Korean Society of Water and Wastewater
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    • v.30 no.3
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    • pp.253-261
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    • 2016
  • A variety of methods for detecting the location of an underground water pipeline are being used across the world; the current main methods used in South Korea, however, have the problems of low precision and efficiency and the limitations in actual application. On this, this study developed locator capable of detecting the location of a water pipe by the use of an IMU sensor, and technology for using the extended karman filter to correct error in location detection and to plot the location on the coordinate system. This study carried out a tract test and a road test as basic experiments to measure the performance of the developed technology and equipment. As a result of the straight line, circular and ellipse track tests, the 1750 IMU sensor showed the average error of 0.08-0.11%; and thus it was found that the developed locator can detect a location precisely. As a result of the 859.6-m road test, it was found that the error was 0.31 m in case the moving rate of the sensor was 0.3-0.6 m/s; and thus it was judged that the equipment developed by this study can be applied to long-distance water pipes of over 1 km sufficiently. It is planned to evaluate its field applicability in the future through an actual pipe network pilot test, and it is expected that locator capable of detecting the location of a water pipe more precisely will be developed through research for the enhancement of accuracy in the algorithm of location detection.