【Author】 Hassoun, Abdo Bekhit, Alaa El-Din Jambrak, Anet Rezek Regenstein, Joe M. Chemat, Farid Morton, James D. Gudjonsdottir, Maria Carpena, Maria Prieto, Miguel A. Varela, Paula Arshad, Rai Naveed Aadil, Rana Muhammad Bhat, Zuhaib Ueland, Oydis

【Source】CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

【影响因子】11.208

【主题类别】

区块链应用-实体经济-工业领域

【Abstract】The food industry has recently been under unprecedented pressure due to major global challenges, such as climate change, exponential increase in world population and urbanization, and the worldwide spread of new diseases and pandemics, such as the COVID-19. The fourth industrial revolution (Industry 4.0) has been gaining momentum since 2015 and has revolutionized the way in which food is produced, transported, stored, perceived, and consumed worldwide, leading to the emergence of new food trends. After reviewing Industry 4.0 technologies (e.g. artificial intelligence, smart sensors, robotics, blockchain, and the Internet of Things) in Part I of this work (Hassoun, Ait-Kaddour, et al. 2022. The fourth industrial revolution in the food industry-Part I: Industry 4.0 technologies. Critical Reviews in Food Science and Nutrition, 1-17.), this complimentary review will focus on emerging food trends (such as fortified and functional foods, additive manufacturing technologies, cultured meat, precision fermentation, and personalized food) and their connection with Industry 4.0 innovations. Implementation of new food trends has been associated with recent advances in Industry 4.0 technologies, enabling a range of new possibilities. The results show several positive food trends that reflect increased awareness of food chain actors of the food-related health and environmental impacts of food systems. Emergence of other food trends and higher consumer interest and engagement in the transition toward sustainable food development and innovative green strategies are expected in the future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Alternative proteins; cultured meat; consumer food behavior; 3D printing; food waste; Industry 4; 0; personalized food; sustainability

【发表时间】

【收录时间】2022-09-01

【文献类型】 综述

【DOI】 10.1080/10408398.2022.2106472

【Author】 Rad, Fakhreddin F. Oghazi, Pejvak Palmie, Maximilian Chirumalla, Koteshwar Pashkevich, Natallia Patel, Pankaj C. Sattari, Setayesh

【Source】INDUSTRIAL MARKETING MANAGEMENT

【影响因子】8.890

【主题类别】

区块链应用-实体经济-工业领域

【Abstract】The exponentially growing literature on Industry 4.0 technologies and their implications for supply chains exhibits valuable insights alongside considerable fragmentation. While prior systematic literature reviews (SLRs) started to consolidate the literature, an SLR that simultaneously (a) covers several core technologies of the Industry 4.0, (b) synthesizes their positive and negative implications for supply chain performance in a broad sense, and (c) accounts for the critical success factors that foster or impede these implications is still missing. We contribute to establishing a cumulative body of knowledge by conducting such an SLR. We synthesize 221 articles published on 11 Industry 4.0 technologies between 2005 and 2021. Rather than aggregate implications, our SLR presents the benefits, challenges, and critical success factors of each core technology vis-a-vis supply chain performance individually. We integrate our findings into a framework of Industry 4.0 supply chain performance and derive promising avenues for future research. Specifically, we call for more research on (a) the challenges and critical success factors of Industry 4.0 technologies; (b) hitherto underexplored core technologies of the Industry 4.0; (c) the interaction of multiple core technologies (are they complements or substitutes?); as well as for (d) further consolidation and interdisciplinary dissemination efforts.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Industry 4.0; Supply chain; Digitization; Digitalization; Digital technologies; Literature review

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 综述

【DOI】 10.1016/j.indmarman.2022.06.009

【Author】 Jamil, Faisal Ahmad, Shabir Whangbo, Taeg Keun Muthanna, Ammar Kim, Do-Hyeun

【Source】COMPUTERS & INDUSTRIAL ENGINEERING

【影响因子】7.180

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Blockchain technology has revolutionized the ways of processing and storing data in terms of reliability and security. Blockchain plays a pivotal role in transferring the processing hurdle from the client-server to a decentralized and secured platform. Blockchain is deemed to be an efficient technology in a forthcoming era that would beneficiate multifarious industries. An issue that becomes a bottleneck for blockchain-based applications is their restricted ability to process in comparison to distributed database systems. In this paper, we present intelligent traffic control using a hybrid model based on the PSO-based optimization algorithm and fuzzy logic in order to improve blockchain performance. The real-time network feedback model is designed and used as an input to control the transaction traffic across the entire network in a robust way without human intervention. In order to evaluate the effectiveness of the designed model, a clinical trial service framework as a test network is implemented on top of Hyperledger Fabric. The case study is further compared with baseline network, network with fuzzy approach, and network with optimized parameter. The experiments show that the proposed model not only enhanced the network by maximizing the network throughput and minimizing the network latency. A smart contract is implemented to automate the transaction flow as per real-time data of network conditions. An open-source blockchain framework, Hyperledger Fabric, is harnessed for implementation of the experiment environment in order to signify the potential of the proposed model. The outcome of this study indicated a remarkable increase in transaction throughput (i.e., 38.5%) and a decrease in transaction latency of 40.5%. Moreover, the proposed model can easily be integrated with other existing blockchain-based performance-enhancing tools.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Smartcontract; Fuzzylogic; Transactiontrafficcontrol; Optimization; Blockchainperformance

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实验仿真

【DOI】 10.1016/j.cie.2022.108327

【Author】 Lei, Moyixi Xu, Longqin Liu, Tonglai Liu, Shuangyin Sun, Chuanheng

【Source】FOODS

【影响因子】5.561

【主题类别】

区块链应用-实体经济-工业领域

【Abstract】Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】food safety; blockchain traceability; Internet of Things; artificial intelligence; privacy protection

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 综述

【DOI】 10.3390/foods11152262

【Author】 Ye, Jin Giani, Annarita Elasser, Ahmed Mazumder, Sudip K. Farnell, Chris Mantooth, Homer Alan Kim, Taesic Liu, Jianzhe Chen, Bo Seo, Gab-Su Song, Wenzhan Greidanus, Mateo D. Roig Sahoo, Subham Blaabjerg, Frede Zhang, Jinan Guo, Lulu Ahn, Bohyun Shadmand, Mohammad B. Gajanur, Nanditha R. Abbaszada, Mohammad Ali

【Source】IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS

【影响因子】5.462

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】In this article, the challenges and a future vision of the cyber-physical security of photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls, and grid security perspective. The vulnerabilities of PV systems are investigated under a variety of cyberattacks, ranging from data integrity attacks to software-based attacks. A success rate metric is designed to evaluate the impact and facilitate decision-making. Model-based and data-driven methods for threat detection and mitigation are summarized. In addition, the blockchain technology that addresses cyberattacks in software and cybernetworks is described. Simulation and experimental results that show the impact of cyberattacks at the converter (device) and grid (system) levels are presented. Finally, potential research opportunities are discussed for next-generation, cybersecure power electronics systems. These opportunities include multiscale controllability, self-/event-triggering control, artificial intelligence/machine learning, hot patching, and online security. As of today, this study will be one of the few comprehensive studies in this emerging and fast-growing area.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Inverters; Power electronics; Smart grids; Microgrids; Computer security; Monitoring; Reliability; Cybersecurity assessment; cyber-physical security; detection and mitigation; firmware and network security; photovoltaic (PV) converter

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 观点阐述

【DOI】 10.1109/JESTPE.2021.3111728

【Author】 Thrul, Johannes Kalb, Luther G. Finan, Patrick H. Prager, Zachary Naslund, John A.

【Source】FRONTIERS IN PSYCHIATRY

【影响因子】5.435

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】peer support; Web3; digital health; mental health; health promotion

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 观点阐述

【DOI】 10.3389/fpsyt.2022.945830

【Author】 Dang Van Huynh Khosravirad, Saeed R. Masaracchia, Antonino Dobre, Octavia A. Duong, Trung Q.

【Source】IEEE WIRELESS COMMUNICATIONS LETTERS

【影响因子】5.281

【主题类别】

区块链应用-实体经济-通信领域

【Abstract】In this letter, we propose a novel digital twin scheme supported metaverse by jointly considering the integrated model of communications, computing, and storage through the employment of mobile edge computing (MEC) and ultra-reliable and low latency communications (URLLC). The MEC-based URLLC digital twin architecture is proposed to provide powerful computing infrastructure by exploring task offloading, and task caching techniques in nearby edge servers to reduce the latency. In addition, the proposed digital twin scheme can guarantee stringent requirements of reliability and low latency, which are highly applicable for the future networked systems of metaverse. For this first time in the literature, our paper addresses the optimal problem of the latency/reliablity in digital twins-enabled metaverse by optimizing various communication and computation variables, namely, offloading portions, edge caching policies, bandwidth allocation, transmit power, computation resources of user devices and edge servers. The proposed scheme can improve the quality-of-experience of the digital twin in terms of latency and reliability with respect to metaverse applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Task analysis; Optimization; Ultra reliable low latency communication; Real-time systems; Industrial Internet of Things; Digital twins; Computational modeling; Digital twin; metaverse; mobile edge computing; ultra-reliable and low latency communications

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 观点阐述

【DOI】 10.1109/LWC.2022.3179207

【Author】 Rani, Shalli Babbar, Himanshi Shah, Syed Hassan Ahmed Singh, Aman

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链应用-实体经济-公共管理

【Abstract】In Smart Cities' applications, Multi-node cooperative spectrum sensing (CSS) can boost spectrum sensing efficiency in cognitive wireless networks (CWN), although there is a non-linear interaction among number of nodes and sensing efficiency. Cooperative sensing by nodes with low computational cost is not favorable to improving sensing reliability and diminishes spectrum sensing energy efficiency, which poses obstacles to the regular operation of CWN. To enhance the evaluation and interpretation of nodes and resolves the difficulty of sensor selection in cognitive sensor networks for energy-efficient spectrum sensing. We examined reducing energy usage in smart cities while substantially boosting spectrum detecting accuracy. In optimizing energy effectiveness in spectrum sensing while minimizing complexity, we use the energy detection for spectrum sensing and describe the challenge of sensor selection. This article proposed the algorithm for choosing the sensing nodes while reducing the energy utilization and improving the sensing efficiency. All the information regarding nodes is saved in the fusion center (FC) through which blockchain encrypts the information of nodes ensuring that a node's trust value conforms to its own without any ambiguity, CWN-FC pick high-performance nodes to engage in CSS. The performance evaluation and computation results shows the comparison between various algorithms with the proposed approach which achieves 10% sensing efficiency in finding the solution for identification and triggering possibilities with the value of alpha = 1.5 and gamma = 2.5 with the varying number of nodes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实验仿真

【DOI】 10.1038/s41598-022-16916-7

【Author】 Saraswat, Deepti Patel, Farnazbanu Bhattacharya, Pronaya Verma, Ashwin Tanwar, Sudeep Sharma, Ravi

【Source】JOURNAL OF INFORMATION SECURITY AND APPLICATIONS

【影响因子】4.960

【主题类别】

区块链应用-实体经济-公益领域

【Abstract】Non-profit organization raise charity donation through different sources, and raised funds often require a clean traceability. Recently, fake charity fundraisers schemes have raised a social concern, and thus a trusted and auditable approach is necessary to manage charity organizations reputations. Blockchain-based charity (BBC) schemes are proposed with decentralization that ensure trust, transparency, and chronology among donators and beneficiaries. However, the schemes suffer from the high-end complexity of certificate generation. Motivated from this, in this paper, we propose a BBC scheme, UpHaaR, where donators, defined as charity persons (CP), and beneficiaries, defined as charity beneficiaries (CB), register in blockchain, managed for diverse fundraisers by charity organizations (CO). The scheme mitigates fake fundraisers, as the charity scheme data and fund allocations to CP are managed as ledger entries in the blockchain. To maintain the security and privacy of massive CP and CB users, the scheme proposes partial key generations through certificate-less cryptography (CLC), which mitigates expensive digital signing and eliminates certificate generation through key distribution centers. For signature aspects, the scheme proposes a lightweight certificate-less signcryption scheme (CSS) that eliminates collusion against insider attacks and reduces computational costs. The scheme is evaluated for security analysis using automated validation of internet security protocols and applications (AVISPA) tool, and informal attack analysis, and cost evaluations. The proposed results indicate the scheme's viability against similar conventional approaches.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Charity donation schemes; Certificate less cryptography; Signcryption; Smart contracts

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实验仿真

【DOI】 10.1016/j.jisa.2022.103245

【Author】 Khoruzhy, Valery, I Lebedev, Vladimir V. Farkova, Natalya Pozharskaya, Elena L.

【Source】FRONTIERS IN ENERGY RESEARCH

【影响因子】3.858

【主题类别】

区块链技术-协同技术-物联网

【Abstract】

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】global monitoring; digital energy; Industry 4; 0 technologies; Internet of Things; Blockchain; robots; Artificial Intelligence

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 综述

【DOI】 10.3389/fenrg.2022.932229

【Author】 Wang, Yajing Yang, Yaodong Suo, Shuaipeng Wang, Mingyuan Rao, Weifeng

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链应用-实体经济-工业领域

【Abstract】As three-dimensional (3D) printing technology is widely used, security issues have arisen, especially in the terminal parts of automobiles, aircraft, and 3D-printed military equipment. If the original design models or the STL (stereolithography) files are hacked or tampered, severe consequences can be anticipated. In this paper, we propose a demonstration to use a high-throughput blockchain to store the "fingerprints" of the 3D model and verify the "fingerprints" before printing to prevent illegal tampering. Relying on the tamper-resistant features of blockchain, the security of the model and the credibility of the terminal components can be ensured. The combination of blockchain and 3D printing will help people to build a trusted manufacturing environment and realize a more flexible manufacturing for future industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】STL file; copyright protection; blockchain; sharding; additive manufacturing

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 理论模型

【DOI】 10.3390/app12157947

【Author】 Rana, Arun Sharma, Sharad Nisar, Kashif Ibrahim, Ag Asri Ag Dhawan, Sachin Chowdhry, Bhawani Hussain, Samreen Goyal, Nitin

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Most Internet of Things (IoT) resources are exposed to security risks due to their essential functionality. IoT devices, such as smartphones and tablets, have a limited network, computation, and storage capacity, making them more vulnerable to attacks. In addition, the huge volume of data generated by IoT devices remains an open challenge for existing platforms to process, analyze, and discover underlying trends to create a convenient environment. As a result, to deliver acceptable services, a new solution is necessary to secure data accountability, increase data privacy and accessibility, and extract hidden patterns and usable knowledge. Moving the Internet of Things to a distributed ledger system might be the most effective way to solve these issues. One of the most well-known and extensively utilized distributed ledger systems is the blockchain. Due to its unique properties, such as privacy, accountability, immutability, and anonymity, blockchain technology has recently attracted a lot of interest. Using IoT in conjunction with blockchain technology can bring several benefits. This paper reviews the current state of the art different BIoT architectures, with a focus on current technologies, applications, challenges, and opportunities. The test findings prove that the decentralized authentication platform-based blockchain-based IoT (BIoT) device-to-device architecture has a significantly higher throughput than the gateway-based architecture. To encrypt the elliptical curve cryptographic (ECC) and to generate keys, the Chinese remainder theorem (CRT)-based scheme is proposed and compared with the secure hash algorithm (SHA-256). Finally, ECC-CRT is used to access system performance in terms of latency, throughput, and resource consumption, simulated through the Contiki Cooja (CC) simulator, and alter orderer and peer nodes for performance study in BIoT. A comprehensive analysis and simulation results show that the proposed scheme is secure against a variety of known attacks, including the man-in-the-middle (MiM) attack, and outperforms the SHA-256 cryptographic algorithm. Moreover, the significance of blockchain and IoT, as well as their analysis of proposed architecture, is discussed. This paper will help readers and researchers understand the IoT and its applicability to the real world.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】IoT; blockchain; security; BIoT architecture; ECC-CRT; SHA-256

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实验仿真

【DOI】 10.3390/app12157694

【Author】 Rana, Arti Rawat, Arvind Singh Afifi, Ashraf Singh, Rajesh Rashid, Mamoon Gehlot, Anita Akram, Shaik Vaseem Alshamrani, Sultan S.

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】According to United Nations (UN) 2030 agenda, the pollution detection system needs to be improved for the establishment of fresh air to obtain healthy life of living things. There are many reasons for the pollution and one of the reasons for pollution is from the emissions of the vehicles. Currently digital technologies such as the Internet of Things and Long-Range are showing significant impact on establishment of smart infrastructure for achieving the sustainability. Based on this motivation, this study implemented a sensor node and gateway-based Internet of Things architecture to monitor the air quality index value from any location through Long-Range communication, and Internet connectivity. To realize the proposed system, a customization of hardware is carried out and implemented the customized hardware i.e., sensor node and gateway in real-time. The sensor node is powered with node mapping to minimize the data redundancy. In this study, the evaluation metrics such as bit rate, receiver sensitivity, and time on air are evaluated by spreading factor (SF), code rate (CR), bandwidth, number of packets, payload size, preamble, and noise figure. The real-time sensor values are logged on the cloud server through sensor node and gateway. The sensor values recorded in the cloud server is compared with optimal values and concluded that the PM10, PM2.(5) are high in the air and remaining values of NO2, O-3, CO are optimal in the air. Along with this an architecture is proposed for interfacing the hardware with blockchain network through cloud server and API for node authentication.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cloud server; Long-Range; Internet of Things; pollutant emissions; sensors; vehicular pollution

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 理论模型

【DOI】 10.3390/app12157547

【Author】 Ammer, Mohammed Abdullah Aldhyani, Theyazn H. H.

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Digital currencies such as Ethereum and XRP allow for all transactions to be carried out online. To emphasize the decentralized nature of fiat currency, we can refer, for example, to the fact that all virtual currency users may access services without third-party involvement. Cryptocurrency price swings are non-stationary and highly erratic, similarly to the price changes of conventional stocks. Owing to the appeal of cryptocurrencies, both investors and researchers have paid more attention to cryptocurrency price forecasts. With the rise of deep learning, cryptocurrency forecasting has gained great importance. In this study, we present a long short-term memory (LSTM) algorithm that can be used to forecast the values of four types of cryptocurrencies: AMP, Ethereum, Electro-Optical System, and XRP. Mean square error (MSE), root mean square error (RMSE), and normalize root mean square error (NRMSE) analyses were used to evaluate the LSTM model. The findings obtained from these models showed that the LSTM algorithm had superior performance in predicting all forms of cryptocurrencies. Thus, it can be regarded as the most effective algorithm. The LSTM model provided promising and accurate forecasts for all cryptocurrencies. The model was applied to forecast the future closing prices of cryptocurrencies over a period of 180 days. The Pearson correlation metric was applied to assess the correlation between the prediction and target values in the training and testing processes. The LSTM algorithm achieved the highest correlation values in training (R = 96.73%) and in testing (96.09%) in predicting XRP currency prices. Cryptocurrency prices could be accurately predicted using the established LSTM model, which displayed highly efficient performance. The relevance of applying these models is that they may have huge repercussions for the economy by assisting investors and traders in identifying trends in the sales and purchases of different types of cryptocurrencies. The results of the LSTM model were compared with those of existing systems. The results of this study demonstrate that the proposed model showed superior accuracy based on the low prediction errors of the proposed system.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cryptocurrency; artificial intelligence; deep learning; prediction model

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实证数据

【DOI】 10.3390/electronics11152349

【Author】 Huang, Li Han, Yongjun Yuan, Aihua Xiao, Tao Wang, Lifeng Yu, Yi Zhang, Xiaomin Zhan, Hongchun Zhu, Hanmin

【Source】MOBILE INFORMATION SYSTEMS

【影响因子】1.863

【主题类别】

区块链应用-实体经济-供应链

【Abstract】As the digital economy promotes economic growth, the Internet of Things can solve the problem of productivity, and the blockchain can solve the problem of production relations, which realizes the industrial transformation of blockchain smart contract technology and becomes a new driving force for the industry. It is becoming more and more difficult for companies to control their own raw material supply, production, and sales by relying only on their own strength, and this is the key to influencing a company to become bigger and stronger. This problem will be efficiently solved by the implementation of "Internet of Things + Blockchain" technology. As a result, research into a new sort of smart supply chain management based on "Internet of Things + Blockchain" is required. From the perspective of building a smart supply chain, this paper makes full use of literature data methods, theoretical analysis methods, case analysis methods, logic analysis methods, and other methods. To study the effectiveness of IoT and blockchain technology through case study of changes in the order quantity in the procurement link of the supply chain. By understanding the current status of related research at home and abroad, as well as the Internet of Things technology and blockchain technology, this paper analyzes China. The main problems existing in the supply chain management of enterprises are the combination of the Internet of Things technology and the blockchain with the enterprise supply chain to create a smart supply chain platform, and the feasibility and functional efficiency of the smart supply chain platform. The related check was found, its deficiencies were found, and remedial measures were taken. The research results show that this intelligent supply chain management platform based on the Internet of Things (IoT) and blockchain can make the operation of the entire supply chain clearly visible. Information and data sharing can be achieved among the various departments of the supply chain to achieve scientific management and precision of the enterprise prediction. And this model can also be used in other industries to achieve industrial upgrading.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实证数据

【DOI】 10.1155/2022/1724029

【Author】 Li, Jie

【Source】MOBILE INFORMATION SYSTEMS

【影响因子】1.863

【主题类别】

区块链应用-实体经济-教育领域

【Abstract】As one of the three basic elements of language, vocabulary is particularly important when learning English. Nowadays, many students are faced with problems such as boring vocabulary teaching, forgetting quickly after reciting, inefficient vocabulary learning, and lack of initiative. Therefore, it is imperative to seek a scientific and effective teaching mode to improve students' vocabulary achievement. It builds an adaptive learning model of English vocabulary based on blockchain and deep learning, and tests the model. According to the experimental data, 46.8% of the learners will often read English newspapers or magazines to expand their English vocabulary. 50.4% of the students classified and memorized English vocabulary according to different categories. 59% of students often use context to memorize English vocabulary. The results show that before using the English vocabulary adaptive learning model based on blockchain and moderate learning, the average score of students' methods and strategies is in the middle and lower levels. After using the adaptive learning model, some students have been able to use some learning strategies, and a small number of students have expanded their vocabulary through extracurricular reading.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 实证数据

【DOI】 10.1155/2022/4554190

【Author】 Chen, Jing Li, Tong

【Source】MATHEMATICAL PROBLEMS IN ENGINEERING

【影响因子】1.430

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers' vehicles and improve the operation efficiency of the whole vehicle network.

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【Keywords】

【发表时间】2022

【收录时间】2022-09-01

【文献类型】 理论模型

【DOI】 10.1155/2022/6891618