• Title/Summary/Keyword: microcontroller 8051

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A study on the MPPT(Maximum Power Point Tracking) for Photovoltaic System using Neural Controller (신경 제어기에 의한 Photovoltaic System의 MPPT구현에 관한 연구)

  • Cha, In-Su;Choe, Jang-Gyun;Yu, Gwon-Jong
    • Solar Energy
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    • v.18 no.1
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    • pp.27-34
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    • 1998
  • A maximum power point tracking(MPPT) converter, to enhance the converter efficiency is evaluated within the laboratory. The converter is controlled to track the maximum power point of the input photovoltaic(PV) source by varying the input and output parameter-conditions of irradiation, temperature, etc. The purpose of this paper is to develop a new maximum power point tracking(MPPT) using neural controller. Neural controller are applied to control of MPPT by boosting converter duty ratios compensation effect with 8 bit single chip 8051 microcontroller.

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Emergency Monitoring System Based on a Newly-Developed Fall Detection Algorithm

  • Yi, Yun Jae;Yu, Yun Seop
    • Journal of information and communication convergence engineering
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    • v.11 no.3
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    • pp.199-206
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    • 2013
  • An emergency monitoring system for the elderly, which uses acceleration data measured with an accelerometer, angular velocity data measured with a gyroscope, and heart rate measured with an electrocardiogram, is proposed. The proposed fall detection algorithm uses multiple parameter combinations in which all parameters, calculated using tri-axial accelerations and bi-axial angular velocities, are above a certain threshold within a time period. Further, we propose an emergency detection algorithm that monitors the movements of the fallen elderly person, after a fall is detected. The results show that the proposed algorithms can distinguish various types of falls from activities of daily living with 100% sensitivity and 98.75% specificity. In addition, when falls are detected, the emergency detection rate is 100%. This suggests that the presented fall and emergency detection method provides an effective automatic fall detection and emergency alarm system. The proposed algorithms are simple enough to be implemented into an embedded system such as 8051-based microcontroller with 128 kbyte ROM.

Design and Implementation of a Systolic Architecture for Low Power Wireless Sensor Network (저 전력 무선 센서 네트워크를 위한 시스톨릭 구조 설계 및 구현)

  • Lee, Kyung-Hoon;Lee, Hak-Jai;Kim, Young-Min
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.6
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    • pp.749-756
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    • 2015
  • In this paper, we propose a unique systolic structure and communication algorithm that maintains a solid link between nodes using synchronous digital communication and enables low power communication. This system was designed by using CC2500 RF transceiver, CC2590 RF front end and C8051F330 low power microcontroller. The measurement of power consumption in the network link shows below $400{\mu}W$ in data transfer rate 320bps. The system constitutes the base unit of low power wireless network that was composed of each seven link nodes having eight sensor nodes. Results of the experiments show that link nodes using a 4Ah battery could operate over 3 years without replacement.

A Period Adaptive Wakeup Technique based on Receive Prediction for WSN (무선 센서 네트워크를 위한 수신 예측 기반 주기 적응적 웨이크업 기법)

  • Lee, Kyung-Hoon;Lee, Hak-Jai;Kim, Young-Min
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.11
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    • pp.1265-1270
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    • 2015
  • For the sensor node or collection node operating with a battery in a wireless sensor network, MAC protocols with improved energy efficiency are important performance factors. In this paper, in order to improve the restrictive capability in accordance with the fixed activity period of the duty cycle technology in the MAC protocol for wireless sensor networks, we propose a periodic adaptive wakeup technique based on receive prediction. The proposed technique is through a performance evaluation using the CC2500 RF transceiver and C8051F330 microcontroller based wireless node, to analyze the minimum active period. As a result, it was confirmed that it is possible to improve energy efficiency by adaptively changing the sleep period in accordance with the change of period.