In the era of sharing economy, the tourism market is increasingly characterized by personalized demand, mobile consumption and product segmentation. This paper aims to apply big data mining technology in the field of smart tourism. Firstly, it focuses on image summary selection and collaborative filtering technology based on big data mining. It then demonstrates the integration of blockchain in smart tourism, emphasizing the use of decentralized structures and smart contracts to achieve data security and transparency, and describes the testing process of smart tourism platforms, including data preparation and platform operational efficiency testing. Finally, the research results of this paper are summarized, and the development potential and practical application value of smart tourism are demonstrated. The results show that in the smart tourism big data mining model, the minimum support for the data set is 10 % and 20 %, respectively. Moreover, with the increase of the number of nodes in the same data set, the running time decreases gradually. It can be seen that smart tourism big data mining has strong scalability.
Analyzing social media trends can create a win-win situation for both creators and consumers. Creators can receive fair compensation, while consumers gain access to engaging, relevant, and personalized content. This paper proposes a new model for analyzing Bitcoin trends on Twitter by incorporating a 'liquid democracy' approach based on user reputation. This system aims to identify the most impactful trends and their influence on Bitcoin prices and trading volume. It uses a Twitter sentiment analysis model based on a reputation rating system to determine the impact on Bitcoin price change and traded volume. In addition, the reputation model considers the users' higher-order friends on the social network (the initial Twitter input channels in our case study) to improve the accuracy and diversity of the reputation results. We analyze Bitcoin-related news on Twitter to understand how trends and user sentiment, measured through our Liquid Rank Reputation System, affect Bitcoin price fluctuations and trading activity within the studied time frame. This reputation model can also be used as an additional layer in other trend and sentiment analysis models. The paper proposes the implementation, challenges, and future scope of the liquid rank reputation model.
This paper explores the application of blockchain technology in improving the management and efficiency of logistics and transportation systems. By leveraging blockchain technology, real-time recording, traceability, data sharing, security, and trustworthiness of logistics information can be achieved, thereby enhancing the efficiency and safety of logistics operations. The paper discusses the theoretical foundations of blockchain technology and logistics and transportation systems, highlighting key concepts such as decentralization, distributed ledger, consensus mechanisms, smart contracts, operations research, supply chain management, and transportation economics. Additionally, the literature review presents an overview of existing studies on logistics and transport systems and blockchain technology, illustrating various applications and benefits, such as sustainable transport frameworks, transportation and logistics management models, smart logistics systems, and supply chain traceability platforms. In conclusion, the exploration of blockchain technology's application in logistics and transportation systems offers comprehensive support for improving logistics efficiency, reliability, and safety, promising more efficient and reliable transportation services for the logistics industry in the future.
In the tourism industry, big data has emerged as a revolutionizing the way businesses operate and travelers experience destinations. With the vast amount of data generated from online bookings, social media interactions, and mobile applications, tourism companies can gain valuable insights into traveler preferences, behavior patterns, and market trends. This paper proposes a development strategy for the tourism industry in the post-epidemic situation, leveraging network big data analysis with Multi-Factor Hashing Ethereum Classification (MFH-EC). By harnessing the power of network big data, this strategy aims to provide insights into changing traveler preferences, market dynamics, and risk factors in the wake of the pandemic. The MFH-EC model facilitates the classification and analysis of diverse factors influencing tourism development, including economic indicators, health and safety measures, environmental conditions, and traveler sentiment. Through simulated experiments and empirical validations, the effectiveness of the proposed strategy is assessed, demonstrating significant improvements in predictive accuracy and decision-making capabilities. For instance, the MFH-EC model achieved an 80% accuracy rate in predicting tourism demand shifts and a 30% reduction in forecasting errors compared to traditional methods. These results underscore the potential of network big data analysis with MFH-EC in guiding strategic decision-making and fostering sustainable recovery and growth in the tourism industry post-epidemic.
In recent years, with the continuous development and growth of the Non-Fungible Token market, it is of great significance to conduct clustering research on its users in order to improve marketing efficiency and enhance customer service. In the field of user clustering research, the classic unsupervised algorithm K-Means has been widely used. However, the K-Means algorithm has some deficiencies, such as need to pre-select the value of K, lack utilization of prior knowledge, limited interpretability of clustering results. Therefore, this paper proposes an improved K-Means algorithm named PKK-Means. Firstly, the algorithm uses the key users identified by prior knowledge to analyze the distribution of key users and other users in each feature item, thereby obtaining the initial cluster centers and the initial number of K. Then, based on the attribute items of the user sample distribution matrix, the algorithm calculates the sum of squared errors within clusters after K-partitioning, and adjusts the similarity measurement of users accordingly. Finally, this paper improves the user value measurement model RFM named RFMCO by introducing the digital currency market value and the on-chain index. Experiments show that compared to traditional algorithms, the K-Means algorithm based on prior knowledge does not require the pre-selection of K value and achieves significant improvement in clustering effectiveness, especially when the dataset is large, the interpretability of the algorithm is significantly improved.
Exploring mechanisms for internal data sharing within government departments is important in advancing digital and intelligent society. This paper is based on the establishment of decentralized nodes on the external network of government departments, constructing a decentralized node, and establishing a government internal data sharing model based on blockchain. Subsequently, integrating attribute fields from government data into the shared model, accompanied by the formulation of data-sharing rules through smart contracts, serves to streamline the implementation of efficient and secure cross-validation mechanisms across diverse departments. Finally, this article concludes by conducting a model performance testing experiment, evaluating the model from three perspectives: storage cost, blockchain performance, and security analysis. The test results show that our model enhances the efficiency of querying and retrieving data within the government's internal data-sharing system, effectively addressing challenges such as low efficiency, high costs, and issues related to the security and real-time aspects of data sharing within the government. Overall, our article provides a new way of thinking about government data sharing.
Latifa Albshaier, Seetah Almarri, M. M. Hafizur Rahman
The Internet’s expansion has changed how the services accessed and businesses operate. Blockchain is an innovative technology that emerged after the rise of the Internet. In addition, it maintains transactions on encrypted databases that are distributed among many computer networks, much like digital ledgers for online transactions. This technology has the potential to establish a decentralized marketplace for Internet retailers. Sensitive information, like customer data and financial statements, should be routinely transferred via e-commerce. As a result, the system becomes a prime target for cybercriminals seeking illegal access to data. As e-commerce increases, so does the frequency of hacker attacks that raise concerns about the safety of e-commerce platforms’ databases. Owing to the sensitivity of customer data, employee records, and customer records, organizations must ensure their protection. A data breach not only affects an enterprise’s financial performance but also erodes clients’ confidence in the platform. Currently, e-commerce businesses face numerous challenges, including the security of the e-commerce system, transparency and trust in its effectiveness. A solution to these issues is the application of blockchain technology in the e-commerce industry. Blockchain technology simplifies fraud detection and investigation by recording transactions and accompanying data. Blockchain technology enables transaction tracking by creating a detailed record of all the related data, which can assist in identifying and preventing fraud in the future. Using blockchain cryptocurrency will record the sender’s address, recipient’s address, amount transferred, and timestamp, which creates an immutable and transparent ledger of all transaction data.
With the rapid development of the digital economy, the application of blockchain technology in the field of e-commerce finance is becoming increasingly widespread, but its potential risks are also increasing. This article aims to use blockchain algorithms to conduct risk assessment on the development of e-commerce finance. Firstly, build a smart contract based on Ethereum to monitor abnormal behaviour in real-time during the transaction process; Secondly, utilising the pluggable consensus mechanism of the super ledger, evaluate the efficiency and security of different consensus algorithms in processing transactions, and analyse their impact on compliance risks. The found risk components are quantitatively investigated to build a risk assessment model by using real instances and merging fuzzy comprehensive evaluation approach. The findings of the research show that the suggested approach can support pertinent judgments, clearly identify and measure any hazards in e-commerce finance, and encourage its sustainable development.
With the popularity of blockchain technology, decentralized applications (Dapp) have gradually become the focus of attention. The integration of smart contracts and front-end technologies is of great significance in Dapp development. This paper first introduces the development background of Dapp and the basic concept of smart contracts, and then discusses several ways for the integration of smart contracts and front-end technologies, including the direct use of smart contracts as the back end, the use of smart contracts to generate API, and the integration of smart contracts with the front-end framework. In addition, the article also analyzes the advantages of this fusion, such as reducing development costs, improving development efficiency, enhancing data security and user privacy protection. Finally, this paper looks forward to the future integration trend of smart contract and front-end technologies, including cross-chain technology, scalability solutions, and richer application scenarios.
Supply chain management involves multiple participants and links.Smart contract technology improves traceability, transparency and efficiency of supply chain through programmable and automated contract execution mechanism.By solving the security and privacy protection problems of smart contract technology, this paper puts forward the corresponding solutions.The results show that smart contract technology provides enterprises with more efficient, reliable, and secure supply chain management solutions that enhance competitive advantage and performance.The results of this paper will provide a useful reference for researchers and enterprise managers, and inspire the future development of smart contract technology in supply chain management 3 .
As an emerging interest in beauty and fashion, it is clear that many of the brands have been considering adopting Artificial Intelligence to promote their brands by utilizing different technologies.Consumers are provided with more options to interact with brands, products, and services as being a member in the online and offline community.This paper aims to study the Artificial Intelligence (AI) applications and its challenges in the beauty and fashion industry.From virtual try-on to generative AI, to Non-Fungible Token (NFT) collections, brands execute different technologies to engage with their clients.Clearly, it is a trend that more and more brands will take into consideration to promote their brands in the future.However, even the AI applications has been utilized but it is not fully matured in other aspects, such as data privacy, regulations and ethical concerns.Therefore, more actions are needed to implement AI-powered technology in real practice.
Digital transformation is increasingly seen as a dynamic and enduring trend, offering unprecedented opportunities for growth and vitality within the sports industry. It brings new dimensions to engaging fans, sponsors, sports organizers, and enterprises by enhancing experiences in a participative sports paradigm. This research explores how digital transformation can revolutionize the sports sector, focusing on successful cases from developed countries such as Australia and Japan. These examples shed light on how digital tools like Artificial Intelligence (AI) and Non-Fungible Tokens (NFTs) are leveraged to enhance fan engagement, operational efficiency, and new revenue streams. By drawing insights from these global leaders, this study aims to identify both the opportunities and challenges faced by China’s sports market, which currently stands at a critical juncture of digital reform and policy modernization. The goal is to unlock the potential of China’s sports market, invigorate its landscape, and introduce greater flexibility in governance through digital transformation. The research objectives are twofold: firstly, to review successful cases of digital transformation in developed countries and the current challenges China faces in adopting these digital innovations, and secondly, to optimize and stimulate market vitality, fostering new paradigms within China’s sports industry. This study aims to offer actionable insights and strategies to drive China’s sports industry toward a more dynamic and sustainable future.
In the context of the complex and changing international situation and the uncertain global political and economic situation, cross-border trade faces many new challenges. In the form of "barter", cross-border barter avoids the credit creation needs of financial intermediaries, but puts forward higher requirements for the information coordination and resource integration of each subject in the transaction chain. The construction of a new type of cross-border barter biological system emphasizes the cooperation and interaction among the participants, and effectively integrates the barter link by means of financial technology, which is of great significance to promote the development of new cross-border barter trade. In this context, this paper proposes an ecosystem framework combining fintech and cross-border barter, and deeply studies the settlement model based on cross-border barter. The results show that the new cross-border barter ecosystem consists of platform leaders, barter trading entities, logistics warehousing supporters and environmental parasitism groups. The application of fintech can promote the collaboration of all parties in the ecosystem and realize the complementary advantages of system members. Through evolutionary game analysis, this paper finds that promoting cooperation among various groups, optimizing incentive policies of leaders and establishing fair profit distribution mechanism are conducive to the stable development of cross-border barter ecosystem. This paper designs a blockchain-based cross-border barter settlement model by referring to the Trade Swap Support Instrument (INSTEX) and the Bank of Kunlun's settlement model for Iran. Blockchain technology is used to achieve property rights allocation and value transfer of barter assets, and the barter settlement model of cross-border circulation of goods and domestic settlement of funds is realized through the "closed loop" of debt repayment, further exploring the deep-level settlement problems of cross-border barter, and providing theoretical support and practical guidance for the development of new cross-border barter trade.
Jan 1, 2024·Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Ola Henfridsson, Robert Wayne Gregory, Youngjin Yoo
This minitrack seeks to foster interdisciplinary discussions and innovative research that elucidate the evolving landscape of Web3 technologies, digital innovation, and organizational transformation.This year's minitrack features papers related to decentralized autonomous organizations, collaboration within development communities, resale royalties for digital goods, as well as the impact of grants on user engagement and innovation on blockchain networks.
Blockchain technology can create a shared platform for English translation and reserve a large number of practical corpus resources, thus improving the quality of machine translation. This paper first introduces the research status of foreign language corpus and blockchain English translation in China. Then it introduces the basic principles of BPNN and particle swarm optimization and constructs the PSO-BP model. Experiments show that the prediction accuracy of BPNN optimized by particle swarm optimization algorithm is greatly improved, the convergence speed is faster, and it will not fall into the local optimal trap. Finally, this paper proposes the implementation path of blockchain in corpus translation application: (1) build “blockchain+ AI” English translation corpus and (2) improve the machine English translation software of the “blockchain+ AI” English translation training platform.
Combining the characteristics of blockchain technology with distributed ledger, consensus mechanism, encryption algorithm, etc., this paper proposes a filtering algorithm based on intangible cultural heritage, builds a video tracking scanning imaging model of dancers in ethnic areas, and detects the edges of video images of dancers in ethnic areas.The contour model is used to enhance the video images of dancers in ethnic areas according to the initial contour distribution, and establish a visual perception model of the dancers in ethnic areas.Sequence, the posture probability of the observation sequence is obtained through the forwardbackward algorithm, and the corresponding posture of the hidden Markov model with the largest observation sequence probability value is the dance tossing posture that needs to be recognized.
The Internet of Vehicles, a new paradigm, is being incorporated into vehicular networks (IoV).IoV should enable heterogeneous access technologies for vehicle-to-environment communication.Security, privacy, cooperation, and the development of trust in-vehicle networks need to be considered for it to become a reality.Popular distributed ledger technology like blockchain might help with these issues.In this research, data transfer security has been achieved using a permission Hyperledger fabric.Two scenarios involving one organization and two organization models have been examined.The performance assessment in terms of throughput and average latency has been proposed for both cases.The results show that as the number of vehicles increases, the throughput drops and increases average delay.Also, the results show that in the two-organization model, the throughput is decreased slightly compared to one organization, while the latency is almost the same in both models.
There are several centralized organizations with a stranglehold over substantial portions of the internet's sector that act unilaterally to decide what is and is not permitted.Web3, which supports decentralization and is created, run, and owned by its users, provides a solution to this conundrum.Web3 gives people, not institutions, control over their own destinies.NFT (Non-Fungible Token) heralds a new age of digital collection for fans and buyers.Therefore, it is a novel way to assist singers, sports, and artists without the need for middlemen.NFT is a novel way for makers, musicians, and artists to share and make money from their work.Because digital items were so simple to copy and exploit fraudulently, there were many problems and challenges related to their selling.Our goal is to offer customers a decentralized platform where they may advertise or purchase these NFTs from the vendor without worrying that any central authorities would ignore their business dealings.
With the continuous expansion of educational view, blockchain technology develops into the cutting-edge applied science and technology of educational information construction. Blockchain technology can effectively solve such problems as information security and trust crisis in the current application of big data in online education by virtue of its characteristics of decentralization, traceability, multi-party consensus mechanism, and high trust. Blockchain technology is conducive to protecting online educational resources, strengthening the transparency of online teaching resources, simplifying the copyright transaction process, and thus enhancing the scientific and technological innovation ability of teachers. Studies regarding the blockchain technology application in education were analyzed, and the influences of the four aspects of the blockchain technology application in education on online teaching resource sharing were explored. Results showed that the Cronbach α coefficient of the questionnaire designed in this research was 0.856, and the KMO value was 0.859, indicating its good reliability and validity. The cross-institutional learning record storage space, learning certificate management mechanism, and collaboratively developed educational ecosystem of the blockchain technology application in education obviously promoted online teaching resource sharing at a significance level of 5%. The results are important reference values for strengthening the integration of educational resources under blockchain technology, improving the application mechanism of online digital educational resources, and improving the accurate service quality of online educational resources.
ROCYS is a knowledge resource for practitioners, scientists, and researchers working in various fields of cyber security, hacking, digital forensics, cyber warfare, viruses and worms domain or critical infrastructure protection area.
S. Markkandan, Prem Kumar, R Prathipa, K. Vengatesan · 5 authors
6G networks are predicted to provide new prospects for Smart Cities and Internet of Things (IoT) applications because of their global seamless coverage.Therefore, to fulfil the growing need for huge data rates for 6G and greater applications, network capacity must be enhanced.As a result, there is an increase in spectrum demand.Only by successfully sharing existing spectrum and avoiding spectrum underutilization will the increased demand for cellular services be addressed.As a result, for 6G to achieve considerably enhanced network capacity, efficient spectrum management systems must be developed.As a result, maintaining 6G's predicted huge network capacity in such as heterogeneous environment necessitates the shared exploitation of available spectrum resources through dynamic coordination across device and network, which can be accomplished by incorporating SDN into 6G networks.Due to the increased speeds and reliability of 6G networks, users may have to pay more for energy, to overcome these issues, In this paper, a novel proposed a 6G HetNet spectrum management system based on HSA and Smart Contracts.HSA harmonizes network operation by spreading local decision-making and network-wide policy-making processes between BS and the SDN controller, correspondingly, to relieve any possible controller scalability and latency difficulties.And, to tackle the intricacies of service-level agreements, leverage blockchain's smart contract technology, which allows for automation and trustworthy, transparent radio spectrum negotiation among several parties.This proposed solution is dependable, scalable, and implementable, as seen by the results.