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zllsasa新蟲(chóng) (小有名氣)
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求助:幫忙查詢兩篇文章的檢索號(hào)碼: 1 Design and Simulation of Traffic Lights Based on AT89C51 2 Remaining Capacity of Batteries Based on RLS-Kalman Filter |
鐵桿木蟲(chóng) (著名寫(xiě)手)
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Accession number: 20141517564839 Title: Design and simulation of traffic lights based on AT89C51 Authors: Cun, Zhao1 Email author zhaocun1980@163.com Author affiliation: 1 Northeast Petroleum University Qinhuangdao Campus, Northeast Petroleum University, Qinhuangdao, China Corresponding author: Cun, Z. (zhaocun1980@163.com) Source title: Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Abbreviated source title: Proc. Int. Conf. Meas., Inf. Control, ICMIC Volume: 2 Monograph title: Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Issue date: 2013 Publication year: 2013 Pages: 1188-1191 Article number: 6758171 Language: English ISBN-13: 9781479913923 Document type: Conference article (CA) Conference name: 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Conference date: August 16, 2013 - August 18, 2013 Conference location: Harbin, China Conference code: 103478 Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States Abstract: In order to efficiently direct traffic, this paper designs a control system of traffic lights based on MUC AT89C51. Designed the hardware, reset circuit, clock circuit and display circuit, and used Keil to realize design of software. Simulation results prove that the system can realize what time alternates red, yellow and green of traffic lights, then realizes the control of traffic. For its simple structure, low cost, high reliability and balance between the hardware and software, this system can be used in transport system © 2013 IEEE. Number of references: 6 Main heading: Software reliability Controlled terms: Hardware Uncontrolled terms: AT89C51 - Design and simulation - Design of softwares - Hardware and software - Proteus - Simple structures - Simulation - Traffic light Classification code: 605 Small Tools and Hardware - 913.3 Quality Assurance and Control DOI: 10.1109/MIC.2013.6758171 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |

鐵桿木蟲(chóng) (著名寫(xiě)手)
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Accession number: 20141517564840 Title: Remaining capacity of batteries based on RLS-Kalman filter Authors: Cun, Zhao1 Email author zhaocun1980@163.com Author affiliation: 1 Northeast Petroleum University Qinhuangdao Campus, Northeast Petroleum University, Qinhuangdao, China Corresponding author: Cun, Z. (zhaocun1980@163.com) Source title: Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Abbreviated source title: Proc. Int. Conf. Meas., Inf. Control, ICMIC Volume: 2 Monograph title: Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Issue date: 2013 Publication year: 2013 Pages: 1192-1195 Article number: 6758172 Language: English ISBN-13: 9781479913923 Document type: Conference article (CA) Conference name: 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 Conference date: August 16, 2013 - August 18, 2013 Conference location: Harbin, China Conference code: 103478 Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States Abstract: This paper components of internal resistance of batteries and its measurement principle and method were analyzed, presents a method of the lead-acid battery internal resistance measurement based on RLS-Kalman. It can Test the battery internal resistance can real-time display the remaining capacity of batteries, the method to guarantee the reliable of battery. This paper uses RLS-Kalman filter to effectively remove the inside of the channel noise, simulation operation shows that the system can decrease the bit error rate and improve the accuracy and stability of battery resistance testing. © 2013 IEEE. Number of references: 7 Main heading: Kalman filters Controlled terms: Control - Measurements Uncontrolled terms: Channel noise - Internal resistance - Internal resistance measurements - Real time display - Remaining capacity - Resistance testing - RLS-Kalman - SOC Classification code: 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941 Acoustical and Optical Measuring Instruments - 732 Control Devices - 731.1 Control Systems - 731 Automatic Control Principles and Applications DOI: 10.1109/MIC.2013.6758172 Database: Compendex Compilation and indexing terms, © 2014 Elsevier Inc. |

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