• Title/Summary/Keyword: Manchester Code

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A study for chirp signal method & system implementation in the PLC modem with low speed (저속 PLC 모뎀에서의 Chirp 신호 방식과 시스템 구현에 관한 연구)

  • Jeong, Young-Hwa;Sang-Gun Lee
    • The Journal of Information Technology
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    • v.7 no.3
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    • pp.37-45
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    • 2004
  • The representative communication method which is applied in the low-speed power line communication modem with 60bps is single carrier method. It has been used mainly for the control. The single carrier method is very sensitive to a power line communication channel environment. Specially, the severe attenuation of the transmission signal according to the notch characteristics of channel becomes the main cause of communication error. Domestic power line channel environment has this notable feature. In this paper, we implemented the low-speed power line communication system which used the chirp signal method to be strong in notch and noise characteristics. In this research, we proposed the method which transmits 1- '1 Unit symbol Chirp signal' with a 100${\mu}s$ time within 1ms for 1 bit. Also it applied for the Convolution code for an error correction and the Manchester code for a collision perception and an error detection. It used the method which uses the bit correlator for signal detection in the receiver parts. We confirmed that the communication method of the chirp method has a excellent performance compared to single carrier methods with a result of experiment of the low-speed power line communication system with the 60bps.

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An Anti-Collision Algorithm with 4-Slot in RFID Systems (RFID 시스템에서 4 슬롯을 이용한 충돌방지 알고리즘)

  • Kim, Yong-Hwan;Kim, Sung-Soo;Ryoo, Myung-Chun;Park, Joon-Ho;Chung, Kyung-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.111-121
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    • 2014
  • In this paper, we propose tree-based hybrid query tree architecture utilizing time slot. 4-Bit Pattern Slot Allocation(4-SL) has a 8-ary tree structure and when tag ID responses according to query of the reader, it applies a digital coding method, the Manchester code, in order to extract the location and the number of collided bits. Also, this algorithm can recognize multiple Tags by single query using 4 fixed time slots. The architecture allows the reader to identify 8 tags at the same time by responding 4 time slots utilizing the first bit($[prefix+1]^{th}$, F ${\in}$ {'0' or '1'}) and bit pattern from second ~ third bits($[prefix+2]^{th}{\sim}[prefix+3]^{th}$, $B_2{\in}$ {"00" or "11"}, $B_1{\in}$ {"01" or "10"}) in tag ID. we analyze worst case of the number of query nodes(prefix) in algorithm to extract delay time for recognizing multiple tags. The identification delay time of the proposed algorithm was based on the number of query-responses and query bits, and was calculated by each algorithm.

Visible Light Communication Based Wide Range Indoor Fine Particulate Matter Monitoring System (가시광통신 기반 광역 실내 초미세먼지 모니터링 시스템)

  • Shakil, Sejan Mohammad Abrar;An, Jinyoung;Han, Daehyun;Chung, Wan-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.1
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    • pp.16-23
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    • 2019
  • Fine particulate matter known as PM 2.5 refers to the atmospheric particulate matter that has a diameter less than 2.5 micrometer identified as dangerous element for human health and its concentration can provide us a clear picture about air dust concentration. Humans stay indoor almost 90% of their life time and also there is no official indoor dust concentration data, so our study is focused on measuring the indoor air quality. Indoor dust data monitoring is very important in hospital environments beside that other places can also be considered for monitoring like classrooms, cements factories, computer server rooms, petrochemical storage etc. In this paper, visible light communication system is proposed by Manchester encoding technique for electromagnetic interference (EMI)-free indoor dust monitoring. Important indoor environment information like dust concentration is transferred by visible light channel in wide range. An average voltage-tracking technique is utilized for robust light detection to eliminate ambient light and low-frequency noise. The incoming light is recognized by a photo diode and are simultaneously processed by a receiver micro-controller. We can monitor indoor air quality in real-time and can take necessary action according to the result.