RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Vehicle trajectory prediction based on Hidden Markov Model

        ( Ning Ye ),( Yingya Zhang ),( Ruchuan Wang ),( Reza Malekian ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7

        In Intelligent Transportation Systems (ITS), logistics distribution and mobile e-commerce, the real-time, accurate and reliable vehicle trajectory prediction has significant application value. Vehicle trajectory prediction can not only provide accurate location-based services, but also can monitor and predict traffic situation in advance, and then further recommend the optimal route for users. In this paper, firstly, we mine the double layers of hidden states of vehicle historical trajectories, and then determine the parameters of HMM (hidden Markov model) by historical data. Secondly, we adopt Viterbi algorithm to seek the double layers hidden states sequences corresponding to the just driven trajectory. Finally, we propose a new algorithm (DHMTP) for vehicle trajectory prediction based on the hidden Markov model of double layers hidden states, and predict the nearest neighbor unit of location information of the next k stages. The experimental results demonstrate that the prediction accuracy of the proposed algorithm is increased by 18.3% compared with TPMO algorithm and increased by 23.1% compared with Naive algorithm in aspect of predicting the next k phases` trajectories, especially when traffic flow is greater, such as this time from weekday morning to evening. Moreover, the time performance of DHMTP algorithm is also clearly improved compared with TPMO algorithm.

      • KCI등재

        Dual-Phase Shifting Strategy for CLLC Resonant Converters

        Wang Dangshu,Zhao Licong,Chang Menghu,Yang Yuxuan,Guan Zhimin,Zhang Ruchuan,Wang Xinxia 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4

        The CLLC resonant converter has the advantages of bidirectional power transmission, natural soft switching, and wide range voltage output. However, the gain curve is relatively smooth during high-frequency light-load operation, and it is diffi cult to adjust through frequency conversion; the traditional fundamental harmonic approximation (FHA) method has a large error in calculating the gain at a position away from the resonance point, which brings diffi culties to the design. In order to better design the converter, this paper proposes a dual phase-shift (DPS) control method based on time-domain analysis, which can achieve a wide voltage range output without losing soft switching, and has constant current source output characteristics. Firstly, the time-domain model of the CLLC converter is analyzed, and the output voltage gain and soft switching range under DPS control are solved; then a simulation is built for verifi cation; fi nally, a 200/80 V, rated power 500 W full-bridge CLLC resonant converter experimental prototype is built. The experimental results prove that the converter has good soft switching range and constant current source output characteristics.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼