• Title/Summary/Keyword: 거리 추정

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A Modified Velocity Estimation Scheme in AAS (Adaptive Antenna System) (AAS(적응형 안테나 시스템)에서의 이동체 속도 추정 방안)

  • Chung, Young-Uk;Choi, Yong-Hoon;Lee, Hyuk-Joon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.2
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    • pp.100-107
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    • 2009
  • Velocity estimation is one of important issues for efficient system management in mobile cellular systems. In this paper, a modified velocity estimation scheme which works in Adaptive Antenna System (AAS) is proposed. The proposed scheme estimates user velocity based on moving distance information and sojourn time information. From numerical results, it is shown that the proposed scheme can estimate user velocity accurately with low cost.

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Effect of Different Standard Tasks on Task Rating in Direct Estimation (직접추정법에서 작업평가에 대한 기준작업 변화의 영향 연구)

  • 이관석;지영래;양진석
    • Proceedings of the ESK Conference
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    • 1996.04a
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    • pp.307-312
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    • 1996
  • 최대허용하중을 결정에는 여러가지 방법이 있지만, 그 중 특히 심리육체적 방법은 빈도수가 적고 반복적인 들기 작업을 평가하기 위해서 널리 사용되어 왔다. 하지만 이 방법은 작업방법의 조합이 많아질수록 최대허용하중을 결정하는데 걸리는 시간은 커지게 된다. 이를 단축시키 위한 한가지 대안인 직접추정법은 일종의 비율 척도 (ratio scale)를 사용하여 자극과 주관적 평가를 연결시키는 방법으로서 넓은 범위의 자극에 대한 인간의 반응을 자극에 짧게 노출되더라도 정확 하게 예측할 수 있는 정확한 수단인 것으로 보여진 바 있다. 이에 본 연구에서는 네 가지의 들기 빈도 (분당 1, 2, 4, 6 회)와 두 가지의 수직 이동거리 (Floor to Knuckle, Knuclke to Shoulder)로 구성되는 8가지의 대칭적인 (symmetrical)들기 작업에 대하여 심리육체적 방법과 기준작업을 달리한 직접추정법을 사용하여 최대허용하중을 결정하고 그 값들을 비교, 분석하였으며 이를 근거로 직접 추정법의 기준변화에 따른 추정능력 정도에 대하여 검토하였다.

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A Study on Estimating of Cost in the logistics - Apply for the military logistics (물류비용 추정 모델에 관한 연구 - 군 물류 적용 중심으로)

  • Park, Jin-U;Gang, Seong-Jin;Seo, Hyeok
    • Proceedings of the Military Operations Research Society of Korea Conference
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    • 2005.10d
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    • pp.63-80
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    • 2005
  • 현재의 제조의 원가 절감 차원에서 물류비용에 대한 많은 관심을 가지고 있다. 하지만, 그에 대한 물류비용에 대한 정확한 추정에 대해서는 계산이 복잡할뿐더러 제품의 운송거리나 제품의 무게 및 수량등 선형적인 값으로 나타내는 방법을 주로 사용하여 비용만을 예측할 뿐이다. 물류비용에 대한 세부적인 산출에 대한 연구보다는 전체적인 비용을 산출하는데 많은 연구가 진행되어 왔었다. 그리고 어느 특정 제품에 대한 물류비용에 대한 추정과 예측하는 연구에 대해서는 부족한 형편이다. 일반 기업에서는 하드웨어에서의 원가비용절감에 한계를 느끼고 물류에서의 비용을 절감을 위해 많은 연구가 이루어진 반면 군에서는 물류비용 추정에 관해서는 연구가 많이 이루어지지 않고 있다. 본 논문에서는 군에서의 물류의 흐름에 맞는 물류 네트워크를 제안하고 물류 네트워크상에서의 비용 모델을 제시하여 군에서의 물류비용을 추정하였다. 그리고 이에 대한 분석과 함께 물류네트 워크상에서의 물류비용 절감을 위한 방법을 제시하였다.

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A estimated Method of Node's relative position in Wireless Sensor Network (무선 센서 네트워크에서의 노드의 상대위치 추정방법)

  • Lee, Hyunjun;Lee, Kyungoh
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.589-592
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    • 2010
  • 무선 센서 네트워크에 대한 연구에서 센서 노드 로부터 발생한 데이터는 데이터 그 자체의 의미도 중요하지만, 데이터의 발생 위치 역시 매우 중요하다고 할 수 있다. 기존 연구로 센서 노드의 위치를 추정할 수 많은 방법들이 있지만, GPS 를 이용하거나 절대적인 위치를 알고 있는 앵커 노드 등을 이용하는 방법들은 추가적인 하드웨어 및 여러 번의 통신이 필요하게 되고 그에 따라 에너지 소비의 증가와 앵커 노드의 손실에 의한 오차의 확대 등 많은 문제를 갖고 있다. 본 논문에서는 센서 노드를 하드웨어적으로 단순화 할 수 있는 거리에 기반하지 않은(range-free) 방식을 사용하여 무선 센서 네트워크에서 싱크 노드로부터 센서 노드의 상대적인 위치를 추정하고 추정 데이터를 기반으로 싱크 노드에서 보정하는 방법으로 자원의 제약에서 비교적 자유로운 싱크 노드의 역할을 증대시킨 위치 추정 및 보정방법에 대해 설명한다.

Location Estimation System based on Majority Sampling Data (머저리티 샘플링 데이터 기반 위치 추정시스템)

  • Park, Geon-Yeong;Jeon, Min-Ho;Oh, Chang-Heon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2523-2529
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    • 2014
  • Location estimation service can be provided outdoors using various location estimation system based on GPS. However, location estimation system is based on existing indoor resources as GPS cannot be used because of insufficient visible satellites and weak signals. The fingerprinting technique that uses WLAN signal, in particular, is good to use indoors because it uses RSSI provided by AP to estimate location. However, its accuracy may vary depending on how accurate data the offline stage used where the fingerprinting map is built. The study sampled various data at the stage that builds the fingerprinting map and suggested a location estimation system that enhances its precision by saving the data of high frequency among them to improve this problem. The suggested location estimation system based on majority sampling data estimates location by filtering RSSI data of the highest frequency at the client and server to be saved at a map, building the map and measuring a similar distance. As a result of the test, the location estimation precision stood at minimum 87.5 % and maximum 90.4% with the margin of error at minimum 0.25 to 2.72m.

Estmation of Magnitude of Historical Earthquakes Considering Earthquake Characteristics and Aging of a House (지진특성 및 가옥의 노후도를 고려한 역사지진의 지진규모 추정)

  • 서정문;최인길
    • Journal of the Earthquake Engineering Society of Korea
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    • v.2 no.4
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    • pp.1-10
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    • 1998
  • The magnitudes of historical earthquake records related with house collapses are estimated considering the magnitude, epicentral distance, soil condition and aging of a house. Eighteen artificial time histories for magnitudes 6-8, epicentral distances 5 km-350 km and hard and soft soil condition were generated. Nonlinear dynamic analyses were performed for a traditional three-bay-straw-roof house. The aging effect of the house was modeled as such that the lateral loading capacity of wooden frames represented by hysteretic stiffness was decreased linearly with time. The house was idealized by one degree-of-freedom lumped mass model and the nonlinear characteristics of wooden frames were modeled by the Modified Double-Target mode. For far field earthquakes, minor damages were identified regardless of magnitude, soil condition and aging of the house. For intermediate field earthquake, earthquake magnitude greater than 6.5 caused severe damages in soil sites. For near field earthquake, severe damages occurred for magnitude greater than 6.5 regardless of soil condition and aging of the house. It is estimated that the magnitude of historical earthquakes is about 6.2. An empirical equation of magnitude-intensity relationship suitable to Korea is suggested.

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Stochastic Prediction of Strong Ground Motions in Southern Korea (추계학적 보사법을 이용한 한반도 남부에서의 강지진동 연구)

  • 조남대;박창업
    • Journal of the Earthquake Engineering Society of Korea
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    • v.5 no.4
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    • pp.17-26
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    • 2001
  • In order to estimate peak ground motions and frequency characteristics of strong ground motions in southern korea, we employed the stochastic simulation method with the moment magnitude(M$_{w}$) and the hypocentral distance(R). We estimated same input parameters that account for specific properties of source and propagation processes, and applied them to the stochastic simulation method. The stress drop($\Delta$$\sigma$) of 100-bar was estimated considering results of research in ENA, China, and southern korea. The attenuation parameter x was calculated by analyzing 57 seismograms recorded from September 1996 to October 1997 and the estimation result of the attenuation parameter x is 0.00112+0.000224 R where R is hypocenter distance. We estimated strong ground motion relations using the stochastic simulation method with suitable input parameters(e.g. $\Delta$$\sigma$, x, and so on). At last, we derived relations between hypocentral distances and ground motions(seismic attenuation equation) using results of the stochastic prediction.esults of the stochastic prediction.n.

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Derivation of Scarcity Index for Korean Coal Using Input Distance Function (투입물거리함수(投入物巨利函數)를 이용한 한국(韓國) 무연탄(無煙炭)의 희소성지표(稀少性指標) 산정(算定))

  • Lee, Myunghun
    • Environmental and Resource Economics Review
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    • v.13 no.1
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    • pp.33-47
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    • 2004
  • Even though the price of extracted but unprocessed coal has been available in Korea, the use of it as scarcity index would be inappropriate because of price subsidy. Following Halvorsen and Smith(1984), Kim and Lee(2002) derived estimates of the shadow price of unextracted coal by estimating the restricted cost function and differentiating with respect to the quantity of coal extracted. In Korea, however, due to the limited data the capital prices have been computed inconsistently case by case without relying on the robust formula like the Christensen-Jorgenson methodology used in US, which could result in biased estimators of the restricted cost function. In the paper the shadow prices of the resources in situ are obtained by measuring an input distance function defined by Shephard (1970), which requires only the data on the quantities of inputs and output. Empirical results for the Korean coal mining industry show that these shadow prices as a coal scarcity have increased fast by approximately three times in comparisons with those obtained by Kim and Lee.

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Position Estimation of a Mobile Robot Based on USN and Encoder and Development of Tele-operation System using Internet (USN과 회전 센서를 이용한 이동로봇의 위치인식과 인터넷을 통한 원격제어 시스템 개발)

  • Park, Jong-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.6
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    • pp.55-61
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    • 2009
  • This paper proposes a position estimation of a mobile robot based on USN(Ubiquitous Sensor Network) and encoder, and development of tele-operation system using Internet. USN used in experiments is based on ZigBee protocol and has location estimation engine which uses RSSI signal to estimate distance between nodes. By distortion the estimated distance using RSSI is not correct, compensation method is needed. We obtained fuzzy model to calculate more accurate distance between nodes and use encoder which is built in robot to estimate accurate position of robot. Based on proposed position estimation method, tele-operation system was developed. We show by experiment that proposed method is more appropriate for estimation of position and remote navigation of mobile robot through Internet.

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A Study on the Pattern Recognition based Distance Protective Relaying Scheme in Power System (전력계통의 패턴인식형 거리계전기법에 관한 연구)

  • 이복구;윤석무;박철원;신명철
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.9-20
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    • 1998
  • In this paper, a new distance relaying scheme is proposed. Artificial neural networks are applied to the distance relaying system composed of pattern recognition based. The proposed distance relaying scheme has two blocks of pattern recognition stages to estimate the fundamental frequency and to classify the fault types. In the first block, a filtering method using neural networks called a neural networks mapping filter(NMF) is presented to efficiently extract the features. And in the sec'ond block, the estimator called neural networks fault pattern estimator(NFPE) is also presented to classify the fault types by the extracted effective features obtained from NMF. Each block of these applied schemes is trained by back-propagation algorithm of multilayer perceptron and show the fast and accurate pattern recognition by ability of multilayer neural networks. The test result of this approach are obtained the good performance from the fault transient wave signals of EMTP(e1ectromagnetic transients program) in the various fault conditions of power systems.

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