Application of smart sensors in commodity management

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Abstract Traditional sensors can collect and report the environmental parameters. However, by integrating wireless communication functions with sensors into intelligent wireless sensing devices, wireless sensing networks are formed to work with monitors, presenting and controlling different locations or environmental parameters. By deploying a wireless sensing network, the system can make appropriate changes or controls to the environment based on the environmental status and user activities detected by the wireless sensing device and interact with the user as necessary by sending notifications.The advancement and popularization of the Internet has accelerated the use of wireless sensors in product positioning and environmental monitoring management, improving the accuracy of managing complex products. Herein, we used a Monitor and Control System that combines ZigBee wireless network surveillance system, network cameras, and wireless sensors with neural network technology and fuzzy control systems for improving the positioning accuracy. Product management with comprehensive digital services along with digital payment aiming to reduce the labor costs were experimentally simulated using Network Simulator 2 (NS2). In the sensing system part, we applied and explored the ZigBee network and its security status. For network-attack simulation, the impact of the attack on normal services was observed and information was summarized for network management. By integrating wireless communication functions and sensors into intelligent wireless sensing devices, several wireless sensing devices can be formed into a so-called wireless sensor network, collectively working to monitor, process, and control different locations or different environmental parameters to achieve remarkable results in product store management.
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Application of smart sensors in commodity management | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Application of smart sensors in commodity management Chao-Kong Chung, Yo-Ping Huang, Guo-Ming Sung This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7406011/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Traditional sensors can collect and report the environmental parameters. However, by integrating wireless communication functions with sensors into intelligent wireless sensing devices, wireless sensing networks are formed to work with monitors, presenting and controlling different locations or environmental parameters. By deploying a wireless sensing network, the system can make appropriate changes or controls to the environment based on the environmental status and user activities detected by the wireless sensing device and interact with the user as necessary by sending notifications. The advancement and popularization of the Internet has accelerated the use of wireless sensors in product positioning and environmental monitoring management, improving the accuracy of managing complex products. Herein, we used a Monitor and Control System that combines ZigBee wireless network surveillance system, network cameras, and wireless sensors with neural network technology and fuzzy control systems for improving the positioning accuracy. Product management with comprehensive digital services along with digital payment aiming to reduce the labor costs were experimentally simulated using Network Simulator 2 (NS2). In the sensing system part, we applied and explored the ZigBee network and its security status. For network-attack simulation, the impact of the attack on normal services was observed and information was summarized for network management. By integrating wireless communication functions and sensors into intelligent wireless sensing devices, several wireless sensing devices can be formed into a so-called wireless sensor network, collectively working to monitor, process, and control different locations or different environmental parameters to achieve remarkable results in product store management. Neural Network Fuzzy Control System Monitoring System Network Simulator 2 ZigBee Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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