• Title/Summary/Keyword: GPS 궤적

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Implementation of Uncertainty Processor for Tracking Vehicle Trajectory (차량 궤적 추적을 위한 불확실성 처리기 구현)

  • Kim, Jin-Suk;Kim, Dong-Ho;Ryu, Keun-Ho
    • The KIPS Transactions:PartD
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    • v.11D no.5
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    • pp.1167-1176
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    • 2004
  • Along the advent of Internet technology, the computing environment has been considerably changed in many application domains. Especially, a lot of researches for e-Logistics have been done for the last 3 years. The e-Logistics means the virtual business activity and service architecture among the logistics companies based on the Internet technology. To construct effectively the e-Logistics framework, researches on the development of the Moving Object Technology(MOT) including GPS and GIS with spatiotemporal databases technique so far has been done The Moving Object Technology stands for the efficient management for the spatiotemporal objects such as vehicles, airplanes, and vessels which change continuously their spatial location along with time flows. However, most systems manage just only the location information detected lately by many reasons so that the uncertainty processing for the past and future location of the moving objects is still very hard. In this paper, we propose the moving object uncertainty model and system design for e-Logistics applications. The MOMS architecture in e-Logistics is suggested and the detailed explain of sub-systems including the uncertainty processor of moving objects is described. We also explain the comprehensive examples of MOMS and uncertainty processing in Delivery Parcel Application that is one of major application of e-Logistics domain.

Biomechanical Research Trends for Alpine Ski Analysis (알파인 스키 분석을 위한 운동역학 연구 동향)

  • Lee, Jusung;Moon, Jeheon;Kim, Jinhae;Hwang, Jinny;Kim, Hyeyoung
    • 한국체육학회지인문사회과학편
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    • v.57 no.6
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    • pp.293-308
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    • 2018
  • This study was carried out to investigate the current trends in skiing-related research from existing literature in the field of kinematics, measurement sensor and computer simulation. In the field of kinematics, research is being conducted on the mechanism of ski turn, posture analysis according to the grade and skill level of skiers, friction force of ski and snow, and air resistance. In the field of measurement sensor and computer simulation, researches are being conducted for researching and developing equipment using IMU sensor and GPS. The results of this study are as follows. First, beyond the limits of the existing kinematic analysis, it is necessary to develop measurement equipment that can analyze the entire skiing area and can be deployed with ease at the sports scene. Second, research on the accuracy of information obtained using measurement sensors and various analysis techniques based on these measures should be carried out continuously to provide data that can help the sports scene. Third, it is necessary to use computer simulation methods to clarify the injury mechanism and discover ways to prevent injuries related to skiing. Fourth, it is necessary to provide optimized ski trajectory algorithm by developing 3D ski model using computer simulation and comparing with actual skiing data.

A Study on the Out-of-Step Detection Algorithm using Time Variation of Complex Power-Part II : Out-of-Step Detection Algorithm using a Trajectory of Complex Power (복소전력의 변화율을 이용한 동기탈조 검출 알고리즘에 관한 연구-Part II: 복소전력의 궤적 변화를 이용한 동기탈조 검출 알고리즘)

  • Kim Chul-Hwan;Heo Jeong-Yong;Kwon O-Sang
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.5
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    • pp.217-225
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    • 2005
  • In a power system, an out-of-step condition causes a variety of risk such as serious damage to system elements, tripping of loads and generators, mal-operation of relays, etc. Therefore, it is very important to detect the out-of-step condition and take a proper measure. Several out-of-step detection methods have been employed in relays until now. Most common method used for an out-of-step detection is based on the transition time through the blocking impedance area in R-X diagram. Also, the R-R dot out-of-step relay, the out-of-step prediction method and the adaptive out-of-step relay using the equal area criterion (EAC) and Global Positioning Satellite (GPS) technology have been developed. This paper presents the out-of-step detection algorithm using the time variation of the complex power. The complex power is calculated and the mechanical power of the generator is estimated by using the electrical power, and then the out-of-step detection algorithm which is based on the complex power and the estimated mechanical power, is presented. This algorithm may detect the instant when the generator angle passes the Unstable Equilibrium Point (UEP). The proposed out-of-step algorithm is verified and tested by using Alternative Transient Program/Electromagnetic Transient Program (ATP/EMTP) MODELS.

A Study On the Tracking Antenna System for a Moving Vehicle by the Embedded Linux (임베디드 리눅스를 이용한 이동체 추적 안테나 시스템에 관한 연구)

  • Kim, Jong-Kwon;Woo, Gui-Aee;Cho, Kyeum-Rae;Lee, Dae-Woo;Jang, Chul-Soon
    • Journal of Advanced Navigation Technology
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    • v.8 no.1
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    • pp.49-57
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    • 2004
  • In This paper the embedded linux based embedded control system was used and the tracking antenna system was studied for data link and communication between moving vehicles. A microprocessor based embedded controller is equipped with SA-1110 board and this embedded controller can control the azimuth and the elevation angle of the antenna. The relative position and attitude for pointing are calculated by using the GPS position signals from the moving vehicle. To verify the performance of the designed embedded antenna system, the orbit information of the Arirang satellite(from KARI) is used.

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An Indexing Technique of Moving Point Objects using Projection (추출 연산을 활용한 이동 점 객체 색인 기법)

  • 정영진;장승연;안윤애;류근호
    • Journal of KIISE:Databases
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    • v.30 no.1
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    • pp.52-63
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    • 2003
  • Spatiotemporal moving objects are changing their Positions and/or shape over time in real world. As most of the indices of moving object are based on the R-tree. they have defects of the R-tree which are dead space and overlap. Some of the indices amplify the defects of the R-tree. In the paper, to solve the problems, we propose the MPR-tree(Moving Point R-tree) using Projection operation which has more effective search than existing moving point indices on time slice query and spatiotemporal range query. The MPR-tree connects positions of the same moving objects over time by using linked list, so it processes the combined query about trajectory effectively. The usefulness of the Projection operation is confirmed during processing moving object queries and in practical use of space from experimentation to compare MPR-tree with existing indices of moving objects. The proposed MPR-tree would be useful in the LBS, the car management using GPS, and the navigation system.

A Study on the Out-of-Step Detection Algorithm using Time Variation of Complex Power-Part II : Out-of-Step Detection Algorithm using a trajectory of Complex power (복소전력의 변화율을 이용한 동기탈조 검출 알고리즘에 관한 연구-Part II: 복소전력의 궤적 변화를 이용한 동기탈조 검출 알고리즘)

  • Kwon, O.S.;Kim, C.H.;Park, N.O.;Chai, Y.M.
    • Proceedings of the KIEE Conference
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    • 2005.07a
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    • pp.313-315
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    • 2005
  • In a power system, an out-of-step condition causes a variety of risk such as serious damage to system elements, tripping of loads and generators, mal-operation of relays, etc. Therefore, it is very important to detect the out-of-step condition and take a proper measure. Several out-of-step detection methods have been employed in relays until now Mo,;t common method used for an out-of-step detection is based on the transition time through the blocking impedance area in R-X diagram. Also, the R-R dot out-of- step relay, the out-of-step prediction method and the adaptive out-of-step relay using the equal area criterion (EAC) and Global Positioning Satellite (GPS) technology have been developed. This paper presents the out-of-step detection algorithm using the time variation of the complex power. The complex power is calculated and the mechanical power of the generator is estimated by using the electrical power, and then the out-of-step detection algorithm, which is based on the complex Power and the estimated mechanical power, is presented. This algorithm, may detect the instant when the generator angle passes the Unstable Equilibrium Point (UEP). The proposed out-of-step algorithm is verified and tested by using Alternative Transient Program/Electromagnetic Transient Program (ATP/EMTP) MODELS.

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Estimation of Predictive Travel Times Using Ubiquitous Traffic Environment under Incident Conditions (유비쿼터스 환경에서 돌발상황 발생 시 예측적 통행시간 추정기법)

  • Park, Joon-Hyeong;Hong, Seung-Pyo;Oh, Cheol;Kim, Tae-Hyeong;Kim, Won-Kyu
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.2
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    • pp.14-26
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    • 2009
  • This study presented a novel method to estimate travel times under incident conditions. Predictive travel time information was defined and evaluated with the proposed method. The proposed method utilized individual vehicle speeds obtained from global positioning systems (GPS) and inter-vehicle communications(IVC) for more reliable real-time travel times. Individual vehicle trajectory data were extracted from microscopic traffic simulations using AIMSUN. Market penetration rates (MPR) and IVC ranges were explored with the accuracy of travel times. Relationship among travel time accuracy, IVC ranges, and MPR were further identified using regression analyses. The outcomes of this study would be useful to derive functional requirements associated with traffic information systems under forthcoming ubiquitous transportation environment

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