• Title/Summary/Keyword: Local area

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Indoor Positioning Using WLAN Signal Strength (무선랜의 신호세기를 이용한 실내 측위)

  • Kim, Suk-Ja;Lee, Jin-Hyun;Jee, Gyu-In;Lee, Jang-Gyu;Kim, Wuk
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.8
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    • pp.742-747
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    • 2004
  • Outdoors we can easily acquire our accurate location by GPS. However, the GPS signal can't be acquired indoors because of its weak signal power level. Adequate positioning method is demanded for many indoor positioning applications. At present, wireless local area network (WLAN) is widely installed in various areas such as airport, campus, and park. This paper proposes a positioning algorithm using WLAN signal strength to provide the position of the WLAN user indoors. There are two methods for WLAN based positioning, the signal propagation method uses signal strength model over space and the empirical method uses RF power propagation database. The proposed method uses the probability distribution of the power propagation and the maximum likelihood estimation (MLE) algorithm based on power strength DB. Test results show that the proposed method can provide reasonably accurate position information.

The Effect of NIC Buffer Size of Web Server on the Performance of LAN (웹 서버의 NIC 버퍼 사이즈가 LAN 성능에 미치는 영향)

  • Kim, Jin-Hee;Sin, Bum-Suk;Kwon, Kyung-Hee
    • Journal of IKEEE
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    • v.7 no.2 s.13
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    • pp.260-264
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    • 2003
  • Among many factors to affect the network performance, this paper analyses how the buffer size of NIC(Network Interface Card) can affect web server and LAN(Local Area Network). We use the ns-2 which is defacto network simulation tool to observe the changes in drop rate, throughput, RTT(Round Trip Time), effective throughput depending on varying buffer sizes. And we analyse the effect of NIC buffer size on the web traffic in Ethernet.

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Measurement of activation magnetic moment in ferromagnetic thin films

  • Choe, Sug-Bong;Shin, Sung-Chul
    • Proceedings of the Korean Magnestics Society Conference
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    • 2000.09a
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    • pp.200-206
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    • 2000
  • We have investigated the activation magnetic moment, which characterizes the basis magnetic moment acting as a single magnetic particle during magnetization reversal. The activation magnetic moment was measured from each local area on continuous ferromagnetic thin films, by analyzing the magnetic field dependence of magnetization reversal of the corresponding local area based on a thermally activated relaxation process. It was found that the activation magnetic moment was nonuniform on submicrometer scale; the fluctuation increased with increasing the number of layers in Co/Pd multilayers. The distribution could be well analyzed by exp($\delta$m$\^$3/2/), where $\delta$m is the deviation of the activation magnetic moment from the mean value.

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An Analysis of the Case related with High PM10 Concentrations Using a Fine Grid Air Dispersion Modeling in Ansan Area (미세 격자 대기 확산 모델링을 통한 안산지역 PM10 고농도 사례 분석)

  • 송동웅;송창근
    • Journal of Environmental Science International
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    • v.12 no.9
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    • pp.977-986
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    • 2003
  • In this study, the scenario for a numerical modeling of the fine grid scale air dispersion phenomena was proposed and an analysis of the special event which was occurred on September 3, 2002 was performed using by a coarse grid prognostic meteorological model, a fine grid diagnostic meteorological model and a fine grid air dispersion model. Based on the results, we found that the local circulations, like as land-sea breeze, should be seriously considered for evaluating the high PM10 concentration event and for making the reduction policy of the major air pollutant emissions in Ansan area.

Study on Evaluation of Coppice Landscape Depend on Healthiness of Plants

  • Satoshi Yamamoto;Yue Shin;Naoki Takeda
    • Journal of the Korean Institute of Landscape Architecture International Edition
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    • no.2
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    • pp.192-198
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    • 2004
  • It is increasing scenery created as a result of pine wilt disease. The purpose of this study is to investigate the local resident's awareness against the scenery caused by pine wilt disease in their neighboring area, through the questionnaire investigation. The result showed that more than $40\%$ of the residents are not aware of such scenery in their local area, and about 30% of the residents did not know that those trees were dying. More than $40\%$ of the people do not know of the pine wilt disease as a general argument. Another question showed that the recognition of such scenery depends on the distance of the viewer. General residents don't worry about such scenery in the far distance in fact some of them think those are colored leaves. However, the nearer they see the trees, the higher they have negative feeling against it.

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The Study for Supporting IPv6 in GGSN of UMTS/GPRS (UMTS/GPRS의 GGSN에서 IPv6 지원 방안에 대한 연구)

  • Lim, Sun-Hwa;Kim, Yeong-Jin
    • Annual Conference of KIPS
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    • 2002.04b
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    • pp.1257-1260
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    • 2002
  • 3 세대 이동통신 시스템인 UMTS/GPRS 는 모든 MS(Mobile Station)에게 인터넷 서비스를 항상 제공할 수 있도록 하는 것을 목표로 하고 있다. 그러나 최근 인터넷 사용의 증가로 인해 public IPv4 주소 부족 현상이 발생함에 따라 인터넷에 연결되어 있는 모든 MS 에게 public IPv4 주소를 할당하는데 한계가 있다. 이에 따라 3GPP의 Release 2000 IM CN(IP Multimedia Core Network) 서브 시스템에서는 멀티미디어 서비스 지원을 위해 인터넷에 연결되어 있는 모든 MS 에게 IP 를 할당할 수 있도록 IPv6 지원을 필수로 정의하고 있다. 따라서 UMTS/GPRS 에서 IPv6 를 지원할 경우 이동망과 인터넷망간의 패킷 서비스 전달을 위해 게이트웨이 기능을 수행하는 GGSN 에서 가장 큰 변화가 이루어질 것이다. 그러므로 본 논문에서는 GGSN 이 dual stack 을 지원해야하는지에 대해 살펴본 후 UMTS/GPRS 프로토콜 구조를 제안한다. 그리고 IPv6 지원을 위해 GGSN의 기능을 설계하고 GTP 메시지와 IPv6 주소 할당 방법에 대해 살펴본다.

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Relationship between Forest Stands Characteristics and NASA/JPL AIRSAR Polarimetric Data Over Mountainous Terrain

  • Kim, Du-Ra;Lee, Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.435-440
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    • 2002
  • The objective of this study is to analyze the relationship between polarimetric radar backscatters and stand characteristics over the mountainous forest area. L- and P-band full polarimetric airborne SAR data obtained in September 2000 were processed to compare with forest stand maps and ground collected stand variables. After the geometric registration of SAR image, mean radar backscatters were extracted for those ground plots where the stand parameters, such as tree height, DBH, and basal area, were measured during and after the SAR data acquisition. Preliminary analysis was focused on the topographic influence of radar backscattering under the homogeneous forest stand condition. Topographic effects, assessed by the local incidence angles, were different obvious in L-band data while it was not clear with P-band data.

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Measurement of Activation Magnetic Moment in Ferromagnetic Thin Films

  • Choe, Sug-Bong;Shin, Sung-Chul
    • Journal of Magnetics
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    • v.6 no.2
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    • pp.70-72
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    • 2001
  • We have investigated the activation magnetic moment, which characterizes the basic magnetic moment acting as a single magnetic particle during magnetization reversal. The activation magnetic moment was measured from each local area on continuous ferromagnetic thin films, by analyzing the magnetic field dependence of magnetization reversal of the corresponding local area, based on a thermally activated relaxation process. It was found that the activation magnetic moment was nonuniform on a submicrometer scale; the fluctuation increased with increasing the number of layers in Co/Pd multilayers. The distribution could be well described by exp($\delta m^{3/2}$), where $\delta$m is the deviation of the activation magnetic moment from the mean value.

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Deep Learning and Color Histogram based Fire and Smoke Detection Research

  • Lee, Yeunghak;Shim, Jaechang
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.116-125
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    • 2019
  • The fire should extinguish as soon as possible because it causes economic loss and loses precious life. In this study, we propose a new atypical fire and smoke detection algorithm using deep learning and color histogram of fire and smoke. First, input frame images obtain from the ONVIF surveillance camera mounted in factory search motion candidate frame by motion detection algorithm and mean square error (MSE). Second deep learning (Faster R-CNN) is used to extract the fire and smoke candidate area of motion frame. Third, we apply a novel algorithm to detect the fire and smoke using color histogram algorithm with local area motion, similarity, and MSE. In this study, we developed a novel fire and smoke detection algorithm applied the local motion and color histogram method. Experimental results show that the surveillance camera with the proposed algorithm showed good fire and smoke detection results with very few false positives.

Shape-Resolving Local Thresholding for Vehicle Detection (교통 영상에서의 차량 검지를 위한 형상분해 국부영역 임계기법)

  • 최호진;박영태
    • Proceedings of the IEEK Conference
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    • 2000.06d
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    • pp.159-162
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    • 2000
  • Selecting locally optimum thresholds, based on optimizing a criterion composed of the area variation rate and the compactness of the segmented shape, is presented. The method is shown to have the shape-resolving property in the subtraction image, so that overlapped objects may be resolved into bright and dark evidences characterizing each object. As an application a vehicle detection algorithm robust to the operating conditions could be realized by applying simple merging rules to the geometrically correlated bright and dark evidences obtained by this local thresholding.

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