Blockchain-Based Information Supervision Model for Rice Supply Chains

Wang, Jian; Zhang, Xin; Xu, Jiping; Wang, Xiaoyi; Li, Haisheng; Zhao, Zhiyao; Kong, Jianlei

doi:10.1155/2022/2914571

Cited by 25 publications

(26 citation statements)

References 38 publications

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“…The use of intelligent big data technology to optimize vocal songs is undeniably of practical significance when traditional vocal music education is combined with information technology. In the traditional teaching process, live vocal music teaching solves the problems of uneven teacher distribution, timely teacher-student interaction during the teaching process, and passive student feedback after class [ 14 , 15 ]. The following are the paper's unique features.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology

Mao

2022

Computational Intelligence and Neuroscience

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The development of art education and information technology has led to the importance of computer technology and multimedia technology in the development of students’ independent inquiry and research skills. In the context of “Internet+,” new modes of teaching phonics have emerged, reconfiguring the spatial and temporal relationship of phonics education. The use of Internet resources is not only a simple collection and sharing of educational resources, but also a new way of teaching voice, which has the magic charm of becoming one of the resources for the majority of voice enthusiasts. However, in practice, there are very few assistive software suitable for music classroom teaching. It is important to research and implement teaching aids suitable for music classroom teaching. Based on intelligent big data technology to optimize the phonetic training methods, the teaching methods are more specific, scientific, and diverse, and improve the self-learning ability and learning interest of Chinese phonetic learners. The experimental results show that the weight of the phonetic teaching optimization process is 0.154 higher than the weight before processing, which is expressed as the value of the control reliability fuzzy quantifier in this test. In other words, the reliability is “absolutely reliable.” Therefore, this study is expected to promote the modernization and scientific process of Chinese vocal education and propose a new way of thinking for Chinese vocal education.

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Section: Introductionmentioning

confidence: 99%

Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology

Mao

2022

Computational Intelligence and Neuroscience

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“…In addition, according to the organic agriculture supply chain scenario, all stakeholders are divided into four roles, and a new consensus mechanism is proposed to manage the information flow. Wang et al proposed a practical Byzantine fault-tolerant consensus algorithm to score the credit of enterprise nodes in the rice supply chain, optimize the selection strategy of master nodes, and ensure high efficiency and low cost [ 49 ]. The blockchain consensus mechanism is one of the core mechanisms of the blockchain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…References [ 40 , 41 , 42 , 43 ] innovated and improved the blockchain architecture, but lacked details regarding the application, such as security, consensus efficiency, etc. References [ 44 , 45 , 46 , 47 , 48 , 49 ] improve the secure interaction of data and the efficiency of consensus, but the blockchain architecture they adopt renders it difficult to carry the complex data characteristics of agricultural and food supply chains. However, the increasingly frequent and diverse data requests and operations in the rice supply chain urgently need to improve the application of blockchain, mainly in the following aspects.…”

Section: Introductionmentioning

confidence: 99%

A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

Peng

Zhang

Wang

et al. 2022

Foods

Self Cite

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With the development of Agriculture 4.0, the requirements for sustainable agriculture and precision agriculture continue to grow. As one of the three major staple foods globally, the quality and safety of rice affect human health as well as social development. To ensure the quality and safety of rice and reduce the flow of problematic rice, a multi-layer blockchain-based rice supply chain refinement supervision model MBRRSM (Multi-blockchain Rice Refined Supervision Model) is proposed from the information level. First, the characteristics of information flow in the rice supply chain are analyzed, and a classification table of key information is constructed. Second, the MBRRSM framework is designed. Based on a multi-party hybrid encryption algorithm, secure multi-party computing algorithm, multi-mode storage mechanism, and SPOP (Supervision Proof of Peers) consensus algorithm, a set of mechanisms is designed for the transmission, use, storage, and consensus of rice data in MBRRSM. Subsequently, the security and performance capabilities of MBRRSM are analyzed. Meanwhile, the SPOP consensus algorithm is analyzed. Finally, a prototype system is built based on MBRRSM and verified through exemplary scenarios in different usage situations. The results show that research on the refined supervision of the rice supply chain based on multi-blockchain can finely supervise all types of data in the rice supply chain, and provide a guarantee for enterprise users to safely transmit and use data with different privacy levels. This study presents a unique research paradigm that introduces the theories and methods of the new information field generation into the field of agricultural research, and thus assists in the strategy implementation of “holding grain in the land and storing grain in technology”.

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“…e collected data is transmitted back to rendezvous junction, which processes the digital information and sends it to the user through the network, thus achieving the purpose of environmental monitoring, target tracking, and data collection [14]. Sensor nodes, sink nodes, and task management nodes form a wireless sensor network system.…”

Section: Energy-saving Algorithm For Wireless Sensormentioning

confidence: 99%

Neural Network-Based Routing Energy-Saving Algorithm for Wireless Sensor Networks

Pang

Xie

2022

Computational Intelligence and Neuroscience

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With the evolvement, standards have changed, mobile Internet technology has also been upgraded, and it has also driven the development of smart objects mobile. With the continuous development of smart objects mobile, the bottleneck of small node size and low battery energy storage has not been solved in the end, which makes the research of wireless sensor network energy-saving technology become the focus, and the improvement of routing technology is an effective way to improve energy-saving technology. From the data transmission energy consumption of smart objects mobile, the routing algorithm of smart objects mobile is discussed and analyzed and the classical representative LEACH is the object of in-depth research. Routing algorithms can easily and reliably process network data and make the network work well and are widely used in highly secure military systems and smaller commercial networks. Aiming at these deficiencies, a corresponding improved algorithm is proposed, and it is tested through simulation and specific experiments to verify the correctness and the system’s reliability. The SMPSO-BP algorithm converges when the number of iterations is about 600, which is earlier than the LEACH algorithm and the improved LEACH algorithm, so the SMPSO-BP algorithm is due to the other two algorithms. In the wireless sensor network routing energy consumption experiment, in addition, the SMPSO-BP algorithm uses less energy than the other two methods. Therefore, the energy-saving algorithm under the neural network data fusion mechanism is still feasible.

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Blockchain-Based Information Supervision Model for Rice Supply Chains

Cited by 25 publications

References 38 publications

Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology

Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology

A Refined Supervision Model of Rice Supply Chain Based on Multi-Blockchain

Neural Network-Based Routing Energy-Saving Algorithm for Wireless Sensor Networks

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