• Title/Summary/Keyword: Location verification

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A Study on the Optimal Method for recycling the Waste Electronics' Reverse Logistics (폐전자제품 회수물류 최적화 연구)

  • Lee, Seok Kee;Roh, Jae-Whak;Cho, Yeong Bin
    • International Commerce and Information Review
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    • v.16 no.4
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    • pp.171-190
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    • 2014
  • A short consumption cycle caused by the technological development and the diversification of customer lead to both the dynamic growth of the industry and the waste recycling issue at the same time. Including Korea, the situation is particularly worrisome in some countries, such as India and China, where acute environmental hazards have resulted from a combination of a lack of recycling centers' capacity and the domination of a large backyard recycling sector. A study about to maximize the current recycling center efficiency with minimal changes is required. In this study, we suggest the optimal location selection method for the recycling center based on the well-known reverse logistics cost minimization model. An actual recycling data about a specific electronic equipment and region in Korea are used for the verification of the method suggested.

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A Name Recognition Based Call-and-Come Service for Home Robots (가정용 로봇의 호출음 등록 및 인식 시스템)

  • Oh, Yoo-Rhee;Yoon, Jae-Sam;Park, Ji-Hun;Kim, Min-A;Kim, Hong-Kook;Kong, Dong-Geon;Myung, Hyun;Bang, Seok-Won
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.360-365
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    • 2008
  • We propose an efficient robot name registration and recognition method in order to enable a Call-and-Come service for home robots. In the proposed method for the name registration, the search space is first restricted by using monophone-based acoustic models. Second, the registration of robot names is completed by using triphone-based acoustic models in the restricted search space. Next, the parameter for the utterance verification is calculated to reduce the acceptance rate of false calls. In addition, acoustic models are adapted by using a distance speech database to improve the performance of distance speech recognition, Moreover, the location of a user is estimated by using a microphone array. The experimental result on the registration and recognition of robot names shows that the word accuracy of speech recognition is 98.3%.

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Development of Saturation Flow Rate Estimation Models Considering Workzone in the Vicinity of Signalized Intersections (도시부 신호교차로 인근 도로점용공사를 고려한 포화교통류율 산정모형 개발에 관한 연구)

  • Eo, Hyo-Gyeong;Sin, Chi-Hyeon
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.109-120
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    • 2010
  • This study aims to develop mathematical models for estimating saturation flow rates at the stop line of signalized intersection due to Workzones in the vicinity, since the saturation flow rate is the most critical parameter in capacity analysis for signalized intersections. It was found by reference review that saturation flow rates are sensitively influenced by the location of Workzone, the number of lanes, cycle length and effective green time. Extensive microscopic simulation runs were also performed and compared to the those of mathematical models for model verification. Mathematical models were developed based on traffic flow theory and dualizing them by the location of workzones. And then each result produced by changing important parameter values was carefully examined and analyzed. Small but consistent differences in saturation flow rate values between mathematical models and simulations exist. However, the pattern of changes in saturation flow rates depending on each variable was similar.

Development of ATP Train Separation Control Simulator for Radio-based Train Control System (무선통신기반 열차제어시스템 ATP 열차간격제어알고리즘 시뮬레이터 개발)

  • Yoon, Yong-Ki;Oh, She-Chan;Choi, June-Young;Park, Jae-Young;Yang, Hai-Won
    • Journal of the Korean Society for Railway
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    • v.15 no.1
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    • pp.29-36
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    • 2012
  • This paper includes ATP(Automatic Train Protection) simulator development and ATP algorithm verification to allocate wayside and train-borne and verify ATP functions of communications based train control system. The train control system has some characteristics such as simple structure and high safety when wireless communication technology is applied to the train control system. Especially, vital functions can be performed with in wayside and train-borne ATP. However, different system can be realized because I/F contents vary in accordance with vital functional allocation of ATP. Drawing characteristics in accordance with wayside and train-borne functional allocation and drawing I/F details affected by such characteristics are needed accordingly. This paper includes ATP simulator development creating train location information by direct activation of an electric motor, verifies train safety distance control algorithm of ATP by functional allocation such as train movement authority and train speed limit to ATP, and draws any supplementation needed. Appropriate simulated environment for verify ATP algorithm and main factors that affect to the ATP function were confirmed.

Multi-face Detection from Complex Background Using Hierarchical Attention Operators (복잡한 배경에서 계층적 주목 연산자를 이용한 다중 얼굴 검출)

  • 이재근;김복만;서경석;최흥문
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.121-126
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    • 2004
  • An efficient multi face detection technique is proposed based on hierarchical context-free attention operators in which multiple faces are efficiently detected from a noisy and complex background. A noise-tolerant generalized symmetry transform (NTSGT) is applied hierarchically, as a context free attention operator, to the input pyramidal image for the high speed global location of the regions of face candidates (ROFCs) with a single mask. For the face verification, local NTGST is applied within each ROFC to confirm the existence of the detailed facial features. First, by globally applying NTGST which introduces the average pyramid method and focusing to the input image with complex background, ROFCs with recognizable resolution are detected robustly. Morphological operations are applied only to the each detected ROFCs to emphasize the facial features like eyes and lips. Then, eyes are detected by locally appling NTGST to the ROFCs and only faces are detected by verifying the existence of the geometrical features of the faces relatively to the location of eyes. The experimental results show that the proposed method can efficiently detect multiple faces from a noisy or complex background with 93.5% detection rate.

Study on the Optimal Location Selection for Environmental Noise Monitoring Systems (환경소음측정망 최적 위치선정에 관한 연구)

  • Shin, Sangmun;Won, Jeongwoo;Kim, Hwail
    • Journal of Environmental Science International
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    • v.23 no.7
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    • pp.1307-1320
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    • 2014
  • A number of problems associated with environmental noises in urban areas have significantly been considered. Specific measurement and estimation of the environmental noise became a primary issue in local governments. Environmental noise monitoring system is required in order to estimate and verify the a city noise map. However, current monitoring positions may not perfectly represent and incorporate many different view points, such as districts of a city, different utilizations of a city by the law, populations, and classifications and traffics of roads. In addition, scientific method to provide specific noise monitoring positions my not be avaliable in current literature. For this reason, the primary objective of this paper is to propose a new method for introducing a number of monitoring positions in the entire city. First, the quality function deployment (QFD) method was utilized to simultaneously represent both districts and utilizations of a city. Second, a new algorithm to find a number of monitoring positions was proposed by compromising many different view points: populations, classifications of roads and areas, and traffics of roads. Finally, the proposed monitoring positions and a sample noise map was provided for verification purposes. Based on these results, the proposed algorithm including the QFD concept may successfully provide specific noise monitoring positions by simultaneously consider may different view points and requirements of a city.

Leakage experiments and applications of leakage detection algorithm in the pilot plant of water distribution system (상수관망 파일럿플랜트에서의 누수실험 및 누수탐지 알고리즘의 적용)

  • Kwon, Hyuk Jae
    • Journal of Korea Water Resources Association
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    • v.50 no.9
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    • pp.609-616
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    • 2017
  • In this study, algorithm for the selecting the optimum monitoring location and leakage detection algorithm based on back tracing calculation method were developed and verified by the experiments in pilot plant of water distribution system. First of all, optimum monitoring locations were selected and pressure changes were measured due to artificial leakage by pressure gauges in pilot plant. Simulations of leakage detection was performed for the verification of back tracing calculation method as a leakage detection method. From the results, it was found that leakage locations and leakage amount were exactly estimated. Various leakage amount from $0.0005m^3/s$ to $0.0018m^3/s$ were reproduced and leakage location was detected by back tracing calculation method. It was verified that back tracing calculation method as a leakage detection method is effective.

Development of Artificial Neural Network Techniques for Landslide Susceptibility Analysis (산사태 취약성 분석 연구를 위한 인공신경망 기법 개발)

  • Chang, Buhm-Soo;Park, Hyuck-Jin;Lee, Saro;Juhyung Ryu;Park, Jaewon;Lee, Moung-Jin
    • Proceedings of the Korean Geotechical Society Conference
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    • 2002.10a
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    • pp.499-506
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    • 2002
  • The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural networks and to apply the newly developed techniques for assessment of landslide susceptibility to the study area of Yongin in Korea. Landslide locations were identified in the study area from interpretation of aerial Photographs and field survey data, and a spatial database of the topography, soil type and timber cover were constructed. The landslide-related factors such as topographic slope, topographic curvature, soil texture, soil drainage, soil effective thickness, timber age, and timber diameter were extracted from the spatial database. Using those factors, landslide susceptibility and weights of each factor were analyzed by two artificial neural network methods. In the first method, the landslide susceptibility index was calculated by the back propagation method, which is a type of artificial neural network method. Then, the susceptibility map was made with a GIS program. The results of the landslide susceptibility analysis were verified using landslide location data. The verification results show satisfactory agreement between the susceptibility index and existing landslide location data. In the second method, weights of each factor were determinated. The weights, relative importance of each factor, were calculated using importance-free characteristics method of artificial neural networks.

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A Numerical Study on the Geometry of Jet Injection Nozzle of a Coanda Control Surface

  • Seo, Dae-Won;Kim, Jong-Hyun;Kim, Hyo-Chul;Lee, Seung-Hee
    • Journal of Ship and Ocean Technology
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    • v.12 no.3
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    • pp.36-54
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    • 2008
  • A jet stream applied tangential to a curved surface in fluid increases lift force by strengthening circulation around the surface and this phenomenon is known as the Coanda effect. Many experimental and numerical studies have been performed on the Coanda effect and the results found to be useful in various fields of aerodynamics. Recently, preliminary studies on Coanda control surface are in progress to look for practical application in marine hydrodynamics since various control surfaces are used to control behaviors of ships and offshore structures. In the present study, the performance of a Coanda control surface with different geometries of the jet injection nozzle was surveyed to assess applicability to ship rudders. A numerical simulation was carried out to study flow characteristics around a section of a horn type rudder subjected to a tangential jet stream. The RANS equations, discretized by a cell-centered finite volume method were used for this computation after verification by comparing to the experimental data available. Special attentions have been given to the sensitivity of the lift performance of a Coanda rudder to the location of the slit (outlet) and intake of the gap between the horn and rudder surface at the various angles of attack. It is found that the location of the water intake is important in enhancing the lift because the gap functions as a conduit of nozzle generating a jet sheet on the rudder surface.

Methodology of Calibration for Falling Objects Accident-Risk-Zone Approach Detection Algorithm at Port Considering GPS Errors (GPS 오차를 고려한 항만 내 낙하물 사고위험 알고리즘 보정 방법론 개발)

  • Son, Seung-Oh;Kim, Hyeonseo;Park, Juneyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.61-73
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    • 2020
  • Real-time location-sensing technology using location information collected from IoT devices is being applied for safety management purposes in many industries, such as ports. On the other hand, positional error is always present owing to the characteristics of GPS. Therefore, accident-risk detection algorithms must consider positional error. This paper proposes an methodology of calibration for falling object accident-risk-zone approach detection algorithm considering GPS errors. A probability density function was estimated, with positional error data collected from IoT devices as a probability variable. As a result of the verification, the algorithm showed a detection accuracy of 93% and 77%. Overall, the analysis results derived according to the GPS error level will be an important criterion for upgrading algorithms and real-time risk managements in the future.