Research of Blockchain Technology in the Traceability of Characteristic Agricultural Products

With the increasingly prominent problem of food safety,the quality traceability of characteristic agricultural products has become a pressing issue.This study focuses on the application of blockchain technology in the traceability of characteristic agricultural products,aiming to explore its potential and practical value in improving the efficiency and transparency of the traceability system of agricultural products.Through the combination of case analysis and model construction,a blockchain-based traceability system for characteristic agricultural products was established.The results showed that the traceability system could effectively record the whole process information of agricultural products from production and processing to sales,and greatly improve the immutability and traceability of data.Lastly,this paper also points out that the use of blockchain technology can improve the market trust in characteristic agricultural products,provide consumers with authentic and reliable product information,and provide new technical means for the quality management of agricultural products.

Research on the Application of Blockchain Technology in Cold Chain Logistics for Agricultural Products

With the continuous advancement of science and technology and the advent of the digital era,blockchain technology is increasingly demonstrating its great potential across various industries due to its unique features of decentralization,transparency,and immutability.In particular,in the cold chain logistics of agricultural products,the application of blockchain technology can not only enhance logistics efficiency but also ensure food safety and boost consumer trust[1].This paper first outlines the advantages of blockchain technology in cold chain logistics for agricultural products,and then clarifies the application pathways of blockchain technology in this field,providing a reference for relevant researchers.

YOLO and Blockchain Technology Applied to Intelligent Transportation License Plate Character Recognition for Security

Privacy and trust are significant issues in intelligent transportation systems(ITS).Data security is critical in ITS systems since sensitive user data is communicated to another user over the internet through wireless devices and routes such as radio channels,optical fiber,and blockchain technology.The Internet of Things(IoT)is a network of connected,interconnected gadgets.Privacy issues occasionally arise due to the amount of data generated.However,they have been primarily addressed by blockchain and smart contract technology.While there are still security issues with smart contracts,primarily due to the complexity of writing the code,there are still many challenges to consider when designing blockchain designs for the IoT environment.This study uses traditional blockchain technology with the“You Only Look Once”(YOLO)object detection method to accurately locate and identify license plates.While YOLO and blockchain technologies used for intelligent vehicle license plate recognition are promising,they have received limited research attention.Real-time object identification and recognition would be possible by combining a cutting-edge object detection technique with a regional convolutional neural network(RCNN)built with the tensor flow core open source libraries.This method works reasonably well for identifying any license plate.The Automatic License Plate Recognition(ALPR)approach delivered outstanding results in various datasets.First,with a recognition rate of 96.2%,our system(UFPR-ALPR)surpassed the previously used technology,consisting of 4500 frames and around 150 films.Second,a deep learning algorithm was trained to recognize images of license plate numbers using the UFPR-ALPR dataset.Third,the license plate’s characters were complicated for standard methods to identify because of the shifting lighting correctly.The proposed model,however,produced beneficial outcomes.

Blockchain technology‑based FinTech banking sector involvement using adaptive neuro‑fuzzy‑based K‑nearest neighbors algorithm

The study aims to investigate the financial technology(FinTech)factors influencing Chinese banking performance.Financial expectations and global realities may be changed by FinTech’s multidimensional scope,which is lacking in the traditional financial sector.The use of technology to automate financial services is becoming more important for economic organizations and industries because the digital age has seen a period of transition in terms of consumers and personalization.The future of FinTech will be shaped by technologies like the Internet of Things,blockchain,and artificial intelligence.The involvement of these platforms in financial services is a major concern for global business growth.FinTech is becoming more popular with customers because of such benefits.FinTech has driven a fundamental change within the financial services industry,placing the client at the center of everything.Protection has become a primary focus since data are a component of FinTech transactions.The task of consolidating research reports for consensus is very manual,as there is no standardized format.Although existing research has proposed certain methods,they have certain drawbacks in FinTech payment systems(including cryptocurrencies),credit markets(including peer-to-peer lending),and insurance systems.This paper implements blockchainbased financial technology for the banking sector to overcome these transition issues.In this study,we have proposed an adaptive neuro-fuzzy-based K-nearest neighbors’algorithm.The chaotic improved foraging optimization algorithm is used to optimize the proposed method.The rolling window autoregressive lag modeling approach analyzes FinTech growth.The proposed algorithm is compared with existing approaches to demonstrate its efficiency.The findings showed that it achieved 91%accuracy,90%privacy,96%robustness,and 25%cyber-risk performance.Compared with traditional approaches,the recommended strategy will be more convenient,safe,and effective in the transition period.

An Immutable Framework for Smart Healthcare Using Blockchain Technology

The advancements in sensing technologies,information processing,and communication schemes have revolutionized the healthcare sector.Electronic Healthcare Records(EHR)facilitate the patients,doctors,hospitals,and other stakeholders to maintain valuable data and medical records.The traditional EHRs are based on cloud-based architectures and are susceptible to multiple cyberattacks.A single attempt of a successful Denial of Service(DoS)attack can compromise the complete healthcare system.This article introduces a secure and immutable blockchain-based framework for the Internet of Medical Things(IoMT)to address the stated challenges.The proposed architecture is on the idea of a lightweight private blockchain-based network that facilitates the users and hospitals to perform multiple healthcare-related operations in a secure and trustworthy manner.The efficacy of the proposed framework is evaluated in the context of service execution time and throughput.The experimental outcomes indicate that the proposed design attained lower service execution time and higher throughput under different control parameters.

Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique

The blockchain technology plays a significant role in the present era of information technology.In the last few years,this technology has been used effectively in several domains.It has already made significant differences in human life,as well as is intended to have noticeable impact in many other domains in the forthcoming years.The rapid growth in blockchain technology has created numerous new possibilities for use,especially for healthcare applications.The digital healthcare services require highly effective security methodologies that can integrate data security with the availablemanagement strategies.To test and understand this goal of security management in Saudi Arabian perspective,the authors performed a numerical analysis and simulation through a multi criteria decision making approach in this study.The authors adopted the fuzzy Analytical Hierarchy Process(AHP)for evaluating the effectiveness and then applied the fuzzy Technique forOrder of Preference by Similarity to Ideal Solution(TOPSIS)technique to simulate the validation of results.For eliciting highly corroborative and conclusive results,the study referred to a real time project of diabetes patients’management application of Kingdom of Saudi Arabia(KSA).The results discussed in this paper are scientifically proven and validated through various analysis approaches.Hence the present study can be a credible basis for other similar endeavours being undertaken in the domain of blockchain research.

An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for Electrical Equipment Maintenance

The power infrastructure of the power system is massive in size and dispersed throughout the system.Therefore,how to protect the information security in the operation and maintenance of power equipment is a difficult problem.This paper proposes an improved time-stamped blockchain technology biometric fuzzy feature for electrical equipment maintenance.Compared with previous blockchain transactions,the time-stamped fuzzy biometric signature proposed in this paper overcomes the difficulty that the key is easy to be stolen by hackers and can protect the security of information during operation and maintenance.Finally,the effectiveness of the proposed method is verified by experiments.

Application of Blockchain Technology in Optimizing Resource Allocation Efficiency

Based on the existing literature,this paper analyzed and explored the factors that affect the efficiency of resource allocation,and evaluated the current situation of resource allocation in various fields.It is found that with the emergence of the new pattern of China’s economic development,the economic growth rate has slowed down,and the method of large-scale production driving economic growth is no longer applicable to the current economic situation.Nowadays,when structural transformation and upgrading have entered a new stage,to achieve the optimization of resource allocation efficiency,it is necessary to start from three aspects:improving information transparency,upgrading industrial structure,and planning government intervention.Through the adaptation analysis of blockchain technology and the existing problems in optimizing resource allocation efficiency,it explored the feasibility of blockchain technology to optimize resource allocation efficiency,and promote economical,efficient and high-quality development.

Research on the Application of Blockchain Technology in the Financial Field from the Perspective of The Belt and Road Initiative

With the continuous deepening of The Belt and Road Initiative development strategy in China,blockchain technology has been more and more widely applied in the financial field.In recent years,the overall operation situation of China’s financial sector is stable.However,with the reform of the economic system and the innovation of the financial sector,there are still many problems in China’s financial sector that need to be improved.With its application advantages,blockchain technology has solved many problems in the financial field.This paper analyses and discusses the application of blockchain technology in the financial field from the perspective of“The Belt and Road Initiative”.

Research on the Problems and Governance of Live E-commerce Based on Blockchain Technology

With the advent of the digital age,new e-commerce formats emerge one after another.As a new mode of e-commerce,live e-commerce plays an important role in helping economic development and increasing social welfare.Based on the current research situation of live broadcast e-commerce,this paper analyzes the problems of irregular behavior and ineffective supervision in the operation of live broadcast e-commerce,and puts forward that the government should strengthen the legislation of live broadcast e-commerce and rationally use blockchain to provide technical support to the government and regulatory agencies,aiming at standardizing the behavior of live broadcast e-commerce and promoting the sound development of live broadcast e-commerce.

Research on Development Strategy of Online Pharmacies Based on Blockchain Technology

Objective To study the problems that restrict the development of online pharmacies,and put forward some suggestions for the development of online pharmacies with the help of blockchain technology.Methods Literature review method was used to understand consumers’psychology of online drug purchase.Besides,some experts in related fields were consulted.The specific path of applying blockchain technology to online pharmacies was analyzed based on the unique characteristics of blockchain technology.Results and Conclusion From the perspective of the characteristics of blockchain technology,this paper analyzes the factors restricting the development of online pharmacies,and proposes targeted solutions to the problems of selling counterfeit drugs,leaking consumer information,and government supervision difficulties in the online pharmacies trading platform.This will break through its bottleneck and help the development of online pharmacies.

Examining the nexus of blockchain technology and digital twins:Bibliometric evidence and research trends

The integration of Blockchain Technology(BT)with Digital Twins(DTs)is becoming increasingly recognized as an effective strategy to enhance trust,interoperability,and data privacy in virtual spaces such as the metaverse.Although there is a significant body of research at the intersection of BT and DTs,a thorough review of the field has not yet been conducted.This study performs a systematic literature review on BT and DTs,using the CiteSpace analytic tool to evaluate the content and bibliometric information.The review covers 976 publications,identifying the significant effects of BT on DTs and the integration challenges.Key themes emerging from keyword analysis include augmented reality,smart cities,smart manufacturing,cybersecurity,lifecycle management,Ethereum,smart grids,additive manufacturing,blockchain technology,and digitalization.Based on this analysis,the study proposes a development framework for BTenhanced DTs that includes supporting technologies and applications,main applications,advantages and functionalities,primary contexts of application,and overarching goals and principles.Additionally,an examination of bibliometric data reveals three developmental phases in cross-sectional research on BT and DTs:technology development,technology use,and technology deployment.These phases highlight the research field’s evolution and provide valuable direction for future studies on BTenhanced DTs.

Proposed framework for blockchain technology in a decentralised energy network

The integration of distributed renewable energy sources into the conventional power grid has become a hot research topic, all part of attempts to reduce greenhouse gas emission. There are many distributed renewable energy sources available and the network participants in energy delivery have also increased. This makes the management of the new power grid with integrated distributed renewable energy sources extremely complex. Applying the technical advantages of blockchain technology to this complex system to manage peer-to-peer energy sharing, transmission, data storage and build smart contracts between network participants can develop an optimal consensus mechanism within the new power grid. This paper proposes a new framework for the application of blockchain in a decentralised energy network. The microgrid is assumed to be private and managed by local prosumers. An overview description of the proposed model and a case study are presented in the paper.

The rise of the digital economy:Thoughts on blockchain technology and cryptocurrencies for the collaborative economy

This study highlights the potential impacts of blockchain technology on the collaborativeeconomy(CE),colloquially known as the sharing economy.This conceptual review firstanalyzes how the CE intersects with the blockchain technology.Collaborative consumptioninvolves an intensification of peer-to-peer trade,underpinned by robust digital in-frastructures and processes,hence an increased use of new technologies and a redefinitionof business activities.As an inherently connected economy,the CE is,therefore,prone tointegrating the most recent technological advances including artificial intelligence,bigdata analysis,augmented reality,the smart grid,and blockchain technology.This reviewthen furthers the examination of the organizational and managerial implications related tothe use of blockchain technology in terms of governance,transaction costs,and userconfidence.A closing case finally examines the role of a prominent social networking site(i.e.,Facebook)in the CE-blockchain nexus.

Blockchain technology forecasting by patent analytics and text mining

Information technologies(ITs)have been playing an important role in improving our society,and the fast evolution of ITs creates a competitive environment not only for companies but also for regions.Hence,recognizing the future trend of technologies can be effective in decision-making with regard to technology selection and investment.Blockchain technology with its vast and impressive applications has received considerable attention from researchers,investors,and public agencies.The purpose of this research is to investigate blockchain technology to explore its trends according to their classification by use of the World Intellectual Property Organization(WIPO)database.Furthermore,we particularly evaluate the registered patents in the world's most well-known patent databases such as the USA patent database.We drew the current technology trends in blockchain patents by applying the text mining and clustering approach.The results represent that the registered patents in the USA patent database have been achieved in the growth phase.That means,attention to the blockchain is rising nowadays and most patents focused the cryptocurrencies and their applications in finance.However,blockchain technology is in the emergence phase and is evolving by researchers and inventors.

Multi-Source Data Privacy Protection Method Based on Homomorphic Encryption and Blockchain

Multi-Source data plays an important role in the evolution of media convergence.Its fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemination of media data.However,it also faces serious problems in terms of protecting user and data privacy.Many privacy protectionmethods have been proposed to solve the problemof privacy leakage during the process of data sharing,but they suffer fromtwo flaws:1)the lack of algorithmic frameworks for specific scenarios such as dynamic datasets in the media domain;2)the inability to solve the problem of the high computational complexity of ciphertext in multi-source data privacy protection,resulting in long encryption and decryption times.In this paper,we propose a multi-source data privacy protection method based on homomorphic encryption and blockchain technology,which solves the privacy protection problem ofmulti-source heterogeneous data in the dissemination ofmedia and reduces ciphertext processing time.We deployed the proposedmethod on theHyperledger platformfor testing and compared it with the privacy protection schemes based on k-anonymity and differential privacy.The experimental results showthat the key generation,encryption,and decryption times of the proposedmethod are lower than those in data privacy protection methods based on k-anonymity technology and differential privacy technology.This significantly reduces the processing time ofmulti-source data,which gives it potential for use in many applications.

Research on bidding and procurement of school of pharmacy based on blockchain technology in colleges and universities

Under the principle of fairness and justice,it has always been a difficult problem for the procurement department and the school of pharmacy to realize integrity and efficiency in colleges and universities,and blockchain technology provides a new idea and feasible path to solve the above-mentioned problems.In the present study,we analyzed the current situation and characteristics of procurement in the school of pharmacy with blockchain technology and pointed out that blockchain technology faced challenges in equipment,system,talent,technology,and so on.By all means,such as the information security trust mechanism to improve the market trust and to solve the procurement problems,the trace-ability and openness mechanism to ensure the college’s procurement compliance,the intelligent contract mechanism to help the college’s bidding and procurement standardization construction,and the jointly blocks to maintain the information transparent process and effectively to prevent the agency anomie and integrity risk,we could explore a new path to the application of blockchain technology to solve the bidding and procurement of school of pharmacy in colleges and universities.

A Blockchain-Based Architecture for Securing Industrial IoTs Data in Electric Smart Grid

There are numerous internet-connected devices attached to the industrial process through recent communication technologies,which enable machine-to-machine communication and the sharing of sensitive data through a new technology called the industrial internet of things(IIoTs).Most of the suggested security mechanisms are vulnerable to several cybersecurity threats due to their reliance on cloud-based services,external trusted authorities,and centralized architectures;they have high computation and communication costs,low performance,and are exposed to a single authority of failure and bottleneck.Blockchain technology(BC)is widely adopted in the industrial sector for its valuable features in terms of decentralization,security,and scalability.In our work,we propose a decentralized,scalable,lightweight,trusted and secure private network based on blockchain technology/smart contracts for the overhead circuit breaker of the electrical power grid of the Al-Kufa/Iraq power plant as an industrial application.The proposed scheme offers a double layer of data encryption,device authentication,scalability,high performance,low power consumption,and improves the industry’s operations;provides efficient access control to the sensitive data generated by circuit breaker sensors and helps reduce power wastage.We also address data aggregation operations,which are considered challenging in electric power smart grids.We utilize a multi-chain proof of rapid authentication(McPoRA)as a consensus mechanism,which helps to enhance the computational performance and effectively improve the latency.The advanced reduced instruction set computer(RISC)machinesARMCortex-M33 microcontroller adopted in our work,is characterized by ultra-low power consumption and high performance,as well as efficiency in terms of real-time cryptographic algorithms such as the elliptic curve digital signature algorithm(ECDSA).This improves the computational execution,increases the implementation speed of the asymmetric cryptographic algorithm and provides data integrity and device authenticity at the perceptual layer.Our experimental results show that the proposed scheme achieves excellent performance,data security,real-time data processing,low power consumption(70.880 mW),and very low memory utilization(2.03%read-only memory(RAM)and 0.9%flash memory)and execution time(0.7424 s)for the cryptographic algorithm.This enables autonomous network reconfiguration on-demand and real-time data processing.

Cervical Cancer Prediction Empowered with Federated Machine Learning

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

Application of Data Governance Models in the Context of the Digital Economy

In the context of the digital economy,the volume of data is growing exponentially,the types of data are becoming more diverse,and its value is increasing,often providing critical support for decision-making by enterprises and government institutions.Effective data governance is a crucial tool for maximizing data value and mitigating data risks.This article examines the application of data governance models in the digital economy,aiming to offer technical insights and guidance for data-driven enterprises and governments in China.By elevating their data governance standards in the new era,this approach will comprehensively enhance their ability to harness digital value and ensure security in the digital economy,ultimately driving the continued growth of both the digital economy and society.