【影响因子】5.033
【主题类别】
区块链应用-实体经济-通信领域
【Abstract】Cooperative spectrum sensing (CSS) is a promising solution to improve the spectrum sensing performance. However, some cooperative secondary users (SUs) may intentionally send wrong spectrum sensing results for the benefit of themselves, which will bring security problems to the CSS-enabled systems. Besides, the behavior of the primary user (PU) may change dynamically when SUs sense the spectrum, which affects the accuracy of CSS. In this paper, a CSS architecture based on the Tangle blockchain is proposed, where massive mobile devices (MDs) act as spectrum sensing nodes and blockchain nodes. A novel dynamic spectrum sensing algorithm is proposed based on the mean-field game. A two-step spectrum sensing fusion mechanism based on the age of information (AoI) and cumulative weight (CW) of transactions is proposed to address the impact of perceptual data differences on the overall decision. The simulation results show that, compared with the traditional fixed spectrum sensing strategy, the MDs' weighted sensing utility in the proposed dynamic spectrum sensing scheme is improved by 10% on average. Moreover, compared to the traditional maximal ratio combining fusion mechanism, the detection probability of the proposed two-step spectrum sensing fusion mechanism is maximally increased by 30.23%, and the false alarm probability is minimally reduced by 9.92%.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sensors; Blockchains; Games; Wireless networks; Heuristic algorithms; Throughput; Information age; Age of information; cooperative spectrum sensing; mean field game; sensing fusion; tangle
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【Author】 Li, Jing Liu, Tingting Niyato, Dusit Li, Jun Han, Zhu
【影响因子】5.033
【主题类别】
区块链技术-协同技术-物联网
【Abstract】With the evolution of industrial technologies, the Internet of Things and blockchain show enormous potential. Different institutes with heterogeneous devices indicate diversity in their private information, including service demand and risk-bearing capability. Low efficiency and rising transaction prices of the public blockchain have been significant barriers to these potential service purchasers. The sidechain is recognized as one of the scalability solutions to a public chain. However, it is challenging to design the economic incentive mechanism and study the transaction fee pricing for transaction services on a sidechain due to the uncertainty of the network's performance and the miner's effort. Considering the asymmetric information (i.e., anonymous private information) and uncertainty, we propose a random-contract-based scheme to maximize the sidechain service provider's revenue and assign the service buyers the feasible service price under the framework of a sidechain linked to the public blockchain. Furthermore, we show that random contracts outperform the deterministic contracts under the increasing absolute risk-aversion assumption. We investigate service pricing in various scenarios using Geometric Brownian Motion. The simulation findings reveal that random contracts can increase the sidechain's revenue by 24.70%, compared with deterministic contracts. The efficient service payments have been reduced by 44.65%, compared with the main chain's cost.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Internet of Things; Contracts; Smart cities; Resource management; Uncertainty; Industries; Internet of things; random contract; contract theory; blockchain; sidechain
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【Author】 Li, Guangcheng Zhao, Qinglin Zhang, Dongbo Chen, Mu-Yen Hassan, Mohammad Mehedi Xu, Jie Garg, Sahil
【影响因子】5.033
【主题类别】
区块链应用-实体经济-工业领域
【Abstract】In Industrial Internet of Things (IIoT), a number of mutually untrusted devices with diverse computing resources and application requirements often need to work together to serve industrial production. When applying permissionless blockchain to process transactions among these devices, we are concerned with two types of fairness: mining fairness (i.e., miners should obtain commensurate rewards according to their respective invested computing power) and transaction-processing fairness (i.e., transaction packing and confirming is in a desired fair order). To address the two types of fairness simultaneously, this paper proposes GT-Chain, in which miners select transactions according to Geometric-distribution and propagate transactions with a Time-to-live limit for achieving transaction-processing fairness as well as balancing the processing efficiency and fairness. Besides, GT-Chain inherits properties of a famous blockchain called FruitChain for achieving mining fairness. We then conduct a probability analysis to quantify the efficiency of transaction processing and define a Euclidean-distance-based fair degree to measure the fairness of transaction processing. Extensive simulations verify that GT-Chain can well achieve our design objectives, and our theoretical model is accurate. This paper is helpful in better designing blockchain protocols for IIoT.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Industrial Internet of Things; Peer-to-peer computing; Data mining; Urban areas; Sensors; Resource management; GT-Chain; blockchain; fair; intelligent; Industrial IoT
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【Author】 Kang, Jiawen Li, Xuandi Nie, Jiangtian Liu, Yi Xu, Minrui Xiong, Zehui Niyato, Dusit Yan, Qiang
【影响因子】5.033
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Conventional machine learning approaches aggregate all training data in a central server, which causes massive communication overhead of data transmission and is also vulnerable to privacy leakage. Thereby, blockchain-based federated learning has emerged to protect Artificial Intelligence of Things (AIoT) devices from exposing their private data by the Federated Learning (FL) framework, and also enables decentralized model training without the vulnerability of a central server. However, the existing blockchain-based FL systems still suffer from (i) limited scalability of the single blockchain framework; and (ii) large communication costs incurred by iterative large-size model update transmission. To this end, we first design an efficient cross-chain framework for scalable and flexible model training management, in which multiple blockchains are customized for specific FL tasks and individually perform learning tasks for privacy protection. A cross-chain scheme is proposed to enable secure blockchain collaboration and interactions for efficient model training, model trading, and payment. We then propose a flexible model update compression scheme to save communication costs almost without compromising accuracy. Moreover, for model trading markets, we design a dynamic pricing scheme using machine learning-based auction for model trading. Numerical results demonstrate that the proposed framework and schemes achieve scalable, flexible, and communication-efficient decentralized FL systems in AIoT.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Training; Task analysis; Data models; 6G mobile communication; Quantization (signal); Servers; Federated learning; cross-chain; gradient compression and quantization; artificial intelligence of things
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【影响因子】5.033
【主题类别】
区块链技术-协同技术-隐私计算
【Abstract】The development of secure and reliable voting mechanism has attracted more and more attention from academia and industry. Many researchers are trying to design a secure and reliable voting system. However, many existing blockchain-based proposals have more or less problems, such as limited number of participants, weak fault-tolerant mechanisms and inadequate privacy protection, which makes it difficult to apply them to the real world to solve the above problems. Therefore, in this paper, we proposed a blockchain-based self-tallying voting protocol to achieve high available, secure and anonymous voting. More specifically, we adopt threshold secret sharing to deal with abstention problem (this is a difficult problem to solve in self-tallying voting systems). We adopt homomorphic encryption and zero-knowledge proof to achieve anonymity and verifiability of encrypted data. Through the analysis and performance testing, and comparison with existing similar proposals, the results show that our scheme has advantages in security and robustness, and the performance test shows that our scheme has good practicability and scalability.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】E-voting; zero-knowledge proof; homomorphic encryption; blockchain; cryptography
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
CCF-C
【影响因子】4.674
【主题类别】
区块链应用-实体经济-网安领域
【Abstract】With the increasing value of digital cryptocurrency in recent years, the digital cryptocurrency mining industry is becoming prosperous. However, this industry has also gained attention from adversaries who exploit users' computers to mine cryptocurrency covertly. To detect cryptojacking attacks, many static and dynamic methods are proposed. However, the existing solutions still have some limitations in terms of effectiveness, performance, and transparency. To address these issues, we present CJSpector, a novel hardware-based approach for cryptojacking detection. This method first leverages the Intel Processor Trace mechanism to collect the run-time control flow information of a web browser. Next, CJSpector makes use of two optimization approaches based on the library functionality and information gain to preprocess the control flow information. Finally, it leverages Recurrent Neural Network (RNN) for cryptojacking detection. The evaluation shows that our method can detect in-browser covert cryptocurrency mining effectively and transparently with a small performance cost.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptojacking detection; Control flow; Intel processor trace; RNN
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【Author】 Suciu, George Farao, Aristeidis Bernardinetti, Giorgio Palama, Ivan Sachian, Mari-Anais Vulpe, Alexandru Vochin, Marius-Constantin Muresan, Pavel Bampatsikos, Michail Munoz, Antonio Xenakis, Christos
【影响因子】3.847
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents a hierarchical architecture composed of different licensing entities that manage access to different resources within a network infrastructure. They are conducted on the basis of well-drawn policy rules. At the same time, the security side of these resources is also placed through a context awareness module. Together with this technology, IoT is used and Blockchain is enabled (for network consolidation, as well as the transparency with which to monitor the platform). The ultimate goal is to implement a secure and scalable security platform for the Smart Grid. The paper presents the work undertaken in the SealedGRID project and the steps taken for implementing security policies specifically tailored to the Smart Grid, based on advanced concepts such as Opinion Dynamics and Smart Grid-related Attribute-based Access Control.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】smart energy; smart grid; IoT; FI-WARE; policy; security
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 理论模型
【DOI】 10.3390/s22176527
【Author】 Makris, Antonios Kontopoulos, Ioannis Psomakelis, Evangelos Xyalis, Stylianos Nektarios Theodoropoulos, Theodoros Tserpes, Konstantinos
【影响因子】2.838
【主题类别】
区块链技术-协同技术-边缘计算
【Abstract】Edge computing constitutes a promising paradigm of managing and processing the massive amounts of data generated by Internet of Things (IoT) devices. Data and computation are moved closer to the client, thus enabling latency- and bandwidth-sensitive applications. However, the distributed and heterogeneous nature of the edge as well as its limited resource capabilities pose several challenges in implementing or choosing an efficient edge-enabled storage system. Therefore, it is imperative for the research community to contribute to the clarification of the purposes and highlight the advantages and disadvantages of various edge-enabled storage systems. This work aspires to contribute toward this direction by presenting a performance analysis of three different storage systems, namely MinIO, BigchainDB, and the IPFS. We selected these three systems as they have been proven to be valid candidates for edge computing infrastructures. In addition, as the three evaluated systems belong to different types of storage, we evaluated a wide range of storage systems, increasing the variability of the results. The performance evaluation is performed using a set of resource utilization and Quality of Service (QoS) metrics. Each storage system is deployed and installed on a Raspberry Pi (small single-board computers), which serves as an edge device, able to optimize the overall efficiency with minimum power and minimum cost. The experimental results revealed that MinIO has the best overall performance regarding query response times, RAM consumption, disk IO time, and transaction rate. The results presented in this paper are intended for researchers in the field of edge computing and database systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】performance evaluation; blockchain; BigchainDB; MinIO; IFPS; object storage; file storage; databases; edge; secure storage
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 实验仿真
【DOI】 10.3390/app12178923
【Author】 Kim, Juyeon Kim, Jae-Hoon
【影响因子】2.838
【主题类别】
区块链技术-协同技术-物联网
【Abstract】Featured Application Blockchain-powered IoT Applications, such as agricultural applications, logistics, and smart factory data management. Blockchain network architecture is a promising technology for constructing highly secure Internet of Things (IoT) networks. IoT networks typically comprise various sensors and actuators. Blockchain network technology can be applied to secure control robots in smart factories or reliable drone deliveries in smart cities. The wide spread of transactions and shared smart contracts across blockchain networks guarantees ultimate network security. A typical wired blockchain network maintains sufficient redundancy within a stable configuration. However, IoT blockchain networks exhibit unavoidable instability. The dynamic configuration changes caused by flexible node membership make it impossible to achieve the same level of redundancy as a stable network. A trustworthy transaction spreading method provides practical transaction sharing for dynamic IoT networks. We propose a Q-learning framework and a graph convergence network (GCN) to search for the proper spreading path of each transaction. The proposed Q-learning framework determines the next spreading hop using node features. The GCN determines the reliable area based on the Q-learning results. The discovered reliable area guides the proper spreading path of transactions to the destination node. In addition, the proposed trustworthy transaction spreading was implemented over an InterPlanetary File system (IPFS). The IPFS-powered experiments confirmed the practicability of the proposed transaction spreading mechanism.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】IoT blockchain; Q-learning; GCN; IPFS
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 理论模型
【DOI】 10.3390/app12178737
【Author】 Huang, Di Ma, Shixi Zhou, Dengji Zhang, Chenyu Han, Huachun Li, Qiang Li, Taotao Wang, Chen
【影响因子】2.838
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】The blockchain is a distributed database whose data are stored and managed in every node in the network. By design, the information of trade records is difficult to tamper. Therefore, it can deal with the trust problem without a central operator. Blockchain technology has brought about major reform in the financial field and has been paid more and more attention in many fields. The combination of blockchain technology and energy trade seems to have good prospects due to their common features of distribution, diversity and marketization. In this paper, a new decentralized energy trading framework based on blockchain technology is presented and analyzed. In this framework, four basic participators in the market are set, which are the consumer, supplier, speculator (with energy storage capacity) and regulator. In addition, the order format and price clearing mechanisms are designed accordingly. The new framework can accommodate a large number of entities and enable them to achieve better economic benefits. Small examples are used to analyze the framework. It is concluded that this technology has significant under-researched potential to support and enhance the efficiency gains of the energy revolution, and areas for future research are identified.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; energy trading framework; multi-agent modeling; mechanism design
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 理论模型
【DOI】 10.3390/app12178410
【Author】 Singh, Digvijay Akram, Shaik Vaseem Singh, Rajesh Gehlot, Anita Buddhi, Dharam Priyadarshi, Neeraj Sharma, Gulshan Bokoro, Pitshou N.
【影响因子】2.690
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】Building integrated photovoltaic (BIPV) systems have gained a lot of attention in recent years as they support the United Nations' sustainable development goals of renewable energy generation and construction of resilient infrastructure. To make the BIPV system infra resilient, there is a need to adopt digital technologies such as the internet of things (IoT), artificial intelligence (AI), edge computing, unmanned aerial vehicles (UAV), and robotics. In this study, the current challenges in the BIPV system, such as the rise in the temperature of the PV modules, the occurrence of various faults, and the accumulation of dust particles over the module surface, have been identified and discussed based on the previous literature. To overcome the challenges, the significance and application of the integration of these digital technologies in the BIPV system are discussed along with the proposed architecture. Finally, the study discusses the vital recommendations for future directions, such as ML and DL for image enhancement and flaws detection in real-time image data; edge computing to implement DL for intelligent BIPV data analytics; fog computing for 6G assisted IoT network in BIPV; edge computing integration in UAV for intelligent automation and detection; augmented reality, virtual reality, and digital twins for virtual BIPV systems with research challenges of real-time implementation in the BIPV.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】BIPV system; digitalization; IoT; artificial intelligence; renewable energy; UAV; digital twin; edge computing
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 综述
【Author】 Singh, Devendra Singh, Rajesh Gehlot, Anita Akram, Shaik Vaseem Priyadarshi, Neeraj Twala, Bhekisipho
【影响因子】2.690
【主题类别】
区块链应用-实体经济-农牧领域
【Abstract】In the current context, monitoring cattle health is critical for producing abundant milk to satisfy population growth demand and also for attaining sustainability. Traditional methods associated with cattle health must be strengthened in order to overcome the concern of detecting diseases based on the health condition. This problem has moved attention toward digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing, edge/fog computing, big data, blockchain, drones, robotics, and augmented reality (AR)/virtual reality (VR), as these technologies have proved for real-time monitoring, intelligent analytics, secure data distribution, and real-time visual experience. The purpose of this study is to examine and discuss many cattle health disorders, as well as to address the fundamental notion of digital technologies, as well as the significance of these technologies for cattle health. Furthermore, the article addressed the different devices that integrated IoT and AI for cattle health monitoring, in which the previous architecture of cattle health monitoring is presented. Based on the review, the article discusses the challenges and suggests recommendations that can be implemented for the future work
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】IoT; AI; animal health monitoring; cattle; digital technology
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 观点阐述
【Author】 Krishna, Gopal Singh, Rajesh Gehlot, Anita Akram, Shaik Vaseem Priyadarshi, Neeraj Twala, Bhekisipho
【影响因子】2.690
【主题类别】
区块链应用-实体经济-能源领域
【Abstract】Energy storage systems (ESS) are among the fastest-growing electrical power system due to the changing worldwide geography for electrical distribution and use. Traditionally, methods that are implemented to monitor, detect and optimize battery modules have limitations such as difficulty in balancing charging speed and battery capacity usage. A battery-management system overcomes these traditional challenges and enhances the performance of managing battery modules. The integration of advancements and new technologies enables the provision of real-time monitoring with an inclination towards Industry 4.0. In the previous literature, it has been identified that limited studies have presented their reviews by combining the literature on different digital technologies for battery-management systems. With motivation from the above aspects, the study discussed here aims to provide a review of the significance of digital technologies like wireless sensor networks (WSN), the Internet of Things (IoT), artificial intelligence (AI), cloud computing, edge computing, blockchain, and digital twin and machine learning (ML) in the enhancement of battery-management systems. Finally, this article suggests significant recommendations such as edge computing with AI model-based devices, customized IoT-based devices, hybrid AI models and ML-based computing, digital twins for battery modeling, and blockchain for real-time data sharing.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】energy storage systems; battery-management system; artificial intelligence; digital twin; blockchain; edge computing
【发表时间】2022
【收录时间】2022-09-27
【文献类型】 综述
【Author】 Zhou, Wenxue Xu, Ziyan Zhou, Jia Gao, Yongli
CCF-C
【影响因子】2.146
【主题类别】
区块链治理-市场治理-企业创新
【Abstract】In order to improve the digital transformation effect of enterprise accounting talents, this paper combines intelligent methods to carry out the digital transformation of enterprise accounting talents from the perspective of blockchain. Moreover, this paper studies the sliding window CS-SCHT algorithm in depth. Based on the theoretical derivation of the sliding window CS-SCHT based on the gray code kernel, the algorithm is implemented on the computer platform, and the test experiment of the operation time is carried out. In addition, this paper explores the application of the sliding window CS-SCHT algorithm in adaptive filtering. The experimental results show that the adaptive filter based on the CS-SCHT algorithm can obtain a higher signal-to-noise ratio than the sliding window DFT algorithm. Finally, this paper constructs an intelligent accounting digital information processing system. The research shows that the system proposed in this paper can play an important role in the digital transformation of enterprise accounting talents from the perspective of blockchain.
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】2022-09-27
【文献类型】 实验仿真
【DOI】 10.1155/2022/3682387
【Author】 Liu, Chunyu Zhang, Heli Li, Xi Ji, Hong
CCF-C
【影响因子】2.146
【主题类别】
区块链技术-协同技术-边缘计算
【Abstract】Combining multiaccess edge computing (MEC) technology and wireless virtual reality (VR) game is a promising computing paradigm. Offloading the rendering tasks to the edge node can make up for the lack of computing resources of mobile devices. However, the current offloading works ignored that when rendering is enabled at the MEC server, the rendering operation depends heavily on the environment deployed on this MEC serve. In this paper, we propose a dynamically rendering-aware service module placement scheme for wireless VR games over the MEC networks. In this scheme, the rendering tasks of VR games are offloaded to the MEC server and closely coupled with service module placement. At the same time, to further optimize the end-to-end latency of VR video delivery, the routing delay of the rendered VR video stream and the costs of the service module migration are jointly considered with the proposed placement scheme. The goal of this scheme is to minimize the sum of the network costs over a long time under satisfying the delay constraint of each player. We model our strategy as a high-order, nonconvex, and time-varying function. To solve this problem, we transform the placement problem into the min-cut problem by constructing a series of auxiliary graphs. Then, we propose a two-stage iterative algorithm based on convex optimization and graphs theory to solve our object function. Finally, extensive simulation results show that our proposed algorithm can ensure low end-to-end latency for players and low network costs over the other baseline algorithms.
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】2022-09-27
【文献类型】 理论模型
【DOI】 10.1155/2022/1237619
【Author】 Ma, Jinnan Shangguan, Xuekui Zhang, Ying
CCF-C
【影响因子】2.146
【主题类别】
区块链技术-协同技术-物联网
【Abstract】The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the security analysis of these three types of scenarios. Hence, in this paper, guided by the three major IoT application scenarios, i.e., IIoT, IoV, and smart home, we sum up the development status of IoT security technologies, analyzed corresponding technical difficulties, and discussed several future outlook of challenges and development trends for the IoT technology.
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】2022-09-27
【文献类型】 综述
【DOI】 10.1155/2022/6360553
【Author】 Li, Hongchao Shen, Tao Bai, Fenhua Gong, Bei
CCF-C
【影响因子】1.968
【主题类别】
区块链技术-协同技术-物联网
【Abstract】The control flow hijacking attack poses a serious threat to the integrity of the software. The attacker exploits the loophole to hijack the control flow of the running program to achieve the purpose of the attack. Remote control flow attestation is a method for embedded devices to ensure the integrity of the software. With the continuous development of Internet of Things (IoT) technology, embedded devices have exploded. None of the existing control flow attestation schemes can adapt to the real-time attestation requests of such massive embedded devices. This paper proposes a blockchain-assisted distributed fog computing control flow attestation scheme BDFCFA to deal with this scenario. The scheme uses a simplified control flow representation model, which can effectively represent the control flow of the program and reduce the runtime overhead of the prover in the attestation process. We use SGX technology to protect the integrity and confidentiality of verifier and prover data during the attestation process. Our proposed bidirectional control flow attestation protocol based on the elliptic curve can greatly protect the communication security between verifiers and provers without incurring excessive performance overhead and communication cost. We evaluate the performance of BDFCFA through the SNU real-time benchmark and demonstrate that BDFCFA has better performance. Finally, compared to the existing remote control flow attestation scheme, the results show that BDFCFA has the highest security.
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】2022-09-27
【文献类型】 实验仿真
【DOI】 10.1155/2022/6128155
【Author】 Dar, Hafizullah Kashyap, Kirti
【影响因子】0.000
【主题类别】
区块链应用-实体经济-医疗领域
【Abstract】Medical tourism has seen a tremendous rise in recent years. At present, technologies are giving a stronger push to medical tourism and integrating its stakeholders under the smart healthcare system (SHS). This study determines the applications of the SHS for medical tourism and how the integration of networks is happening in SHS to benefit medical tourism. The results of this study explain that mobile health, telehealth, blockchain technology, cloud technology, internet of medical things (IoMT), virtual reality, and artificial intelligence are key technological applications in SHS enlarging medical tourism. The applications of SHS provide a safe and strong roof to its stakeholders. This study presents a systematic medical travel process of medical tourists supported by smart technologies and draws some strategies for medical tourism development. Further, the study contributes to the existing body of knowledge and paves a way for enhancing smart healthcare systems and smart medical tourism concepts.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Internet of medical things; medical tourism; mobile health; smart healthcare system; smart technologies; telehealth
【发表时间】
【收录时间】2022-09-27
【文献类型】 理论模型
【影响因子】0.000
【主题类别】
区块链治理-市场治理-技术采用
【Abstract】Blockchain (BCT) is an emerging technology that promises many benefits for organizations, for instance, disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organizations has not reached a significantly high level worldwide, thus requiring further research in this space. The present study addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant literature, affect the organizational adoption of BCT in Australia. To fill this gap, the study uses the qualitative interpretative research approach along with the technology-organization-environment (TOE) framework as a theoretical lens. The data was mainly drawn from the literature review and semi-structured interviews of the decision-makers and senior IT people from the BCT adopter and potential adopter organizations in Australia. According to the findings, perceived information transparency, perceived risks, organization innovativeness, organization learning capability, standards uncertainty, and competition intensity influence organizational adoption of BCT in Australia. These factors are exclusively identified in this study. The study also validates the influence of perceived benefits and perceived compatibility on BCT adoption that are reported in the past studies. Practically, these findings are helpful for the Australian government and public and private organizations to develop better policies and make informed decisions for the organizational adoption of BCT. The findings would guide decision-makers to think about the adoption of BCT strategically. The study also has theoretical implications explained in the discussion section.
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】2022-09-27
【文献类型】 观点阐述
【DOI】 10.1155/2022/7320526
【影响因子】0.000
【主题类别】
区块链治理-市场治理-市场分析
【Abstract】The purpose of this paper was to propose a model that examined a study adopting the technology acceptance model with additional constructs (i.e., innovativeness) and the mediating role of attitude and perceived risk to use the cryptocurrency platform in Thailand. The data were collected through a questionnaire-based survey (456 usable responses) from consumers in Thailand. A two-step SEM approach (i.e., a measurement model and a structural model) was used to analyze the data. The findings showed a significant positive influence of perceived usefulness, perceived ease of use, innovativeness, attitude, perceived risk, and cryptocurrency platform adoption. Moreover, attitude mediated the relationship between perceived usefulness, perceived ease of use, innovativeness, and cryptocurrency platform adoption. Overall, our results showed that the model of perceived usefulness, perceived ease of use, and innovativeness explained 62.9% of the variance in the intention to use the cryptocurrency platform in Thailand. Our study has contributed to the technology acceptance model and highlighted its effectiveness in explaining the adoption of the cryptocurrency platform in Thailand.
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】2022-09-27
【文献类型】 观点阐述
【DOI】 10.1155/2022/9642998
【作者】 赵力;
【作者单位】天津科技大学文法学院;
【文献来源】图书馆工作与研究
【复合影响因子】2.830
【综合影响因子】2.536
【主题类别】
区块链应用-实体经济-版权领域
【摘要】文章指出智能合约具有代码规范性、自动执行性、不可篡改性的特点。自然语言形式的格式版权许可协议转化为代码形式、可自动执行的智能合约，导致图书馆利用版权合理使用规则的空间进一步缩减。图书馆有必要充分利用智能合约的缔约磋商机制、解释机制、反要约机制、对冲合约机制和预言机机制积极应对新技术发展，保障图书馆版权合理使用权益。
【关键词】智能合约;;版权;;合理使用;;图书馆
【文献类型】 观点阐述
【发表时间】2022-09-27
【作者】 黄茂汉;邱瑾;
【作者单位】广西医科大学图书馆;
【文献来源】图书馆工作与研究
【复合影响因子】2.830
【综合影响因子】2.536
【主题类别】
区块链应用-实体经济-档案领域
【摘要】区块链与高校科学数据生命周期存在链式结构的相似性。文章将管理计划链、过程数据链、正式数据链紧密结合，构建了基于区块链技术的高校图书馆科学数据管理模型，提出构建版本控制与科研协作、可追溯的版权保护、案例式回顾与学习、全生命周期的个性化指导等特色科学数据服务。
【关键词】区块链;;高校图书馆;;科学数据;;数据管理;;全生命周期
【文献类型】 理论模型
【发表时间】2022-09-27
【作者】 郭全中;冷一鸣;
【作者单位】中央民族大学新闻与传播学院;上海大学管理学院会计系;
【文献来源】新闻爱好者
【复合影响因子】1.116
【综合影响因子】0.531
【主题类别】
区块链治理-市场治理-市场分析
【摘要】现有互联网存在诸多缺陷，如难以传递价值，用户缺乏身份和数据自主权等，急需通过革命性的创新来推进互联网的跃迁式发展，Web3.0就是下一代互联网较好的路径选择。Web3.0具有安全可信、传递价值、新型激励系统、全真互联等优势，其本质是全新的下一代互联网。从本质上说，Web3.0与元宇宙相辅相成、密不可分，共同构成下一代互联网的底层技术和应用场景落地，其中Web3.0是元宇宙发展的底层技术，而元宇宙则是Web3.0的应用场景落地。
【关键词】Web3.0;;用户权利;;区块链;;价值互联网;;下一代互联网
【文献类型】 观点阐述
【发表时间】2022-09-27