• Title/Summary/Keyword: Navigation Function

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Multipath Error Mitigation using Differenced Autocorrelation Function (자기 상관 차분 함수를 이용한 다중 경로 오차 감쇄 기법)

  • 최일흥;이상정
    • Journal of the Korea Institute of Military Science and Technology
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    • v.6 no.1
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    • pp.59-67
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    • 2003
  • Multipath is an inevitable error source in radio navigation system such as GPS, it causes signal tracking errors such as carrier tracking errors, code tracking errors. Since code tracking error is a dominant error in absolute positioning, this paper focuses on the improvement of code tracking performance. This paper proposes a method that detects the change of autocorrelation function's slope and mitigates the multipath error. Also, this paper shows the performance evaluation results by post-processing the digitized RF samples.

Decentralized Control of Multiple Agents for Optimizing Target Tracking Performance and Collision Avoidance (표적 추적 성능 최적화 및 충돌 회피를 위한 다수 에이전트 분산 제어)

  • Kim, Youngjoo;Bang, Hyochoong
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.9
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    • pp.693-698
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    • 2016
  • A decentralized control method is proposed to enable a group of robots to achieve maximum performance in multisensory target tracking while avoiding collision with the target. The decentralized control was designed based on navigation function formalism. The study showed that the multiple agent system converged to the positions providing the maximum performance by the decentralized controller, based on Lyapunov and Hessian theory. An exemplary simulation was given for a multiple agent system tracking a stationary target.

Charted Depth Interpolation: Neuron Network Approaches

  • Shi, Chaojian
    • Journal of Navigation and Port Research
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    • v.28 no.7
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    • pp.629-634
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    • 2004
  • Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

Control of Defect Produced in a Retrograde Triple Well Using MeV Ion Implantation (MeV 이온주입에 의한 Retrograde Triple-well 형성시 발생하는 결합제어)

  • 정희석;고무순;김대영;류한권;노재상
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2000.11a
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    • pp.17-20
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    • 2000
  • This study is about a retrograde triple well employed in the Cell tr. of next DRAM and flash memory. triple well structure is formed deep n-well under the light p-well using MeV ion implantation. MeV P implanted deep n-well was observed to show greatly improved characteristics of electrical isolation and soft error. Junction leakage current, however, showed a critical behavior as a function of implantation and annealing conditions. {311} defects were observed to be responsible for the leakage current. {311} defects were generated near the R$\sub$p/ (projected range) region and grown upward to the surface during annealing. This is study on the defect behavior in device region as a function of implantation and annealing conditions.

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UCT/AGV Design and Implementation using steering function in automizing port system (조향 함수를 고려한 UCT/AGV 설계 및 구현)

  • 윤경식;이동훈;강진구;이권순;이장명
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2000.04a
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    • pp.47-56
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    • 2000
  • In this study, as the preliminary step for developing an unmanned vehicle to deliver a container-box, we designed and implemented Automatic Guided Vehicle(AGV) Simulator for the purpose of Port Facilities Automation. It is preferable to research the intelligent AGV for delivery all day long. For complementing AGV simulator driving, we used multiple-sensor systems with vision, ultrasonic, IR and adapted the high-speed wireless LAN that satisfies the IEEE 802.11 Standard for bi-directional communication between main processor in AGV and Host computer. Here, we mounted on bottom frame in AGV Pentium-III processor, which combine and compute the information from each sensor system and control the AGV driving, and used the 80C196KC micro-controller to control the actuating and steering motors.

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Economic Effects of Establishing a Logistic Free Zone in the Port of Busan (물류중심형 자유지대의 경제적 파급효과에 관한 연구 - 부산항을 중심으로 -)

  • Sohn, Ae-Hwi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2000.11a
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    • pp.33.2-42
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    • 2000
  • This study probes the necessity of establishing a logistic free zone in Port of Busan. It considers the economic effects of establishing the logistic free zone of Busan Port, and suggests policy prescriptions for introducing the free zone system and improving the logistics functions of Busan Port. Using input-output table data, the regression analysis was able to provide a quantitative prediction on effects of making the Busan Port a tariff-free zone. Influence for the regional economy due to the enforcement of the free zone system this research found that a strong positive effects should be expected on the Busan regional economy once the logistic free zone would be set up at the Port of Busan. The positive economic effects on Busan regional industries might be further strengthened if the value-added logistics function of Busan Port could be supplemented by linking to the hinterland of Busan Port.

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Indifferentiable Security Analysis of Several Hash Domain Extensions (여러 가지 해쉬 함수 도메인 확장 방법에 대한 Indifferentiability 관점에서의 안전성 분석)

  • Chang, Dong-Hoon;Sung, Jae-Chul;Hong, Seok-Hie;Lee, Sang-Jin
    • Journal of Advanced Navigation Technology
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    • v.13 no.4
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    • pp.600-609
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    • 2009
  • We provide indifferentiable security analyses of pfMD, MDP, WPH, EMD, NI and CS hash domain extensions and their truncated versions. Unlike previous analytic techniques, the analytic technique considered in this paper is simple and easy. Moreover, the analytic technique can be generally applied to any types of hash domain extensions. That means that the technique can be used as an analyzing tool for any new developed hash function.

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Neural Networks Based Modeling with Adaptive Selection of Hidden Layer's Node for Path Loss Model

  • Kang, Chang Ho;Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.4
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    • pp.193-200
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    • 2019
  • The auto-encoder network which is a good candidate to handle the modeling of the signal strength attenuation is designed for denoising and compensating the distortion of the received data. It provides a non-linear mapping function by iteratively learning the encoder and the decoder. The encoder is the non-linear mapping function, and the decoder demands accurate data reconstruction from the representation generated by the encoder. In addition, the adaptive network width which supports the automatic generation of new hidden nodes and pruning of inconsequential nodes is also implemented in the proposed algorithm for increasing the efficiency of the algorithm. Simulation results show that the proposed method can improve the neural network training surface to achieve the highest possible accuracy of the signal modeling compared with the conventional modeling method.

Charted Depth Interpolation: Neuron Network Approaches

  • Chaojian, Shi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.08a
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    • pp.37-44
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    • 2004
  • Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

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Design of StraaS(streaming as a service) based on Cloud Computing (클라우드 컴퓨팅 기반 스트리밍 서비스(StraaS)의 설계)

  • Cha, Byung-Rae;Sim, Su-Jeong;Kim, Yong-Il
    • Journal of Advanced Navigation Technology
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    • v.16 no.2
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    • pp.330-339
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    • 2012
  • In this paper, we define and design the Streaming as a Service (StraaS) to support streaming service based on cloud computing. And we describe the various function and security to StraaS service. Specially, we introduce KS-MMA(Key-generation System for Multilateral Matching Authentication) and SIES(Searchable Image Encryption System) as security function for streaming service and cloud computing.