Information-based management mode based on value network analysis for livestock enterprises |
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| Authors: | Haoqi Liu Changhoon Lee Mingming Han Zhongbin Su Varshinee Anu Padigala |
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| Institution: | 1. School of Electronic Engineering and Information, Northeast Agricultural University, Harbin, China;2. School of Computer Engineering, Seoul National University of Science and Technology, Seoul, Korea;3. School of Science and Technology, International Hellenic University, Thermi, Greece |
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| Abstract: | ABSTRACTWith the development of computer and IT technologies, enterprise management has gradually become information-based management. Moreover, due to poor technical competence and non-uniform management, most breeding enterprises show a lack of organisation in data collection and management. In addition, low levels of efficiency result in increasing production costs. This paper adopts ‘struts2’ in order to construct an information-based management system for standardised and normalised management within the process of production in beef cattle breeding enterprises. We present a radio-frequency identification system by studying multiple-tag anti-collision via a dynamic grouping ALOHA algorithm. This algorithm is based on the existing ALOHA algorithm and uses an improved packet dynamic of this algorithm, which is characterised by a high-throughput rate. This new algorithm can reach a throughput 42% higher than that of the general ALOHA algorithm. With a change in the number of tags, the system throughput is relatively stable. |
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| Keywords: | Information-based management beef cattle breeding RFID anti-collision QR code |
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