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computing, applications and Systems (COMPAS), IEEE international Conference on

作者： Sohel Ahmed Joni Rabiul Rahat Nishat Tasnin Partho Ghose Md. Mahbub-Or-Rashid Department of Computer Science and Engineering Bangladesh University of Business and Technology Dhaka Bangladesh

ISBN: (数字)9798331529765

ISBN: (纸本)9798331529772

In developing countries, subsidized food programs aimed at supporting the poor are often undermined by corruption and mismanagement, leading to food waste and unequal distribution. To overcome these challenges, we introduce GrainBee, a blockchain-powered ration distribution system designed to ensure secure, transparent, and efficient food supply distribution. By leveraging blockchain’s inherent security and immutability, GrainBee addresses the major security and transparency issues that plague traditional and existing blockchain-based *** proposed system employs a post-quantum secure, blockchain-based approach to combat corruption and fraudulent invoicing, guaranteeing integrity through a distributed, immutable ledger. To further fortify security, we integrate Hardware Security Modules (HSMs), providing an additional layer of protection for sensitive data and transactions. A built-in reservation and scheduling system streamlines the distribution process, while a user-friendly interface and machine translation services bridge language gaps, enhancing usability and accessibility. By harnessing the power of blockchain technology, GrainBee offers a robust solution to the complex challenges of food distribution.

关键词： Food waste Bridges Quantum computing Hardware security Developing countries Blockchains Machine translation Usability Protection

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The Empirical study and analysis of the Blockchain Technology 3

The Empirical study and analysis of the Blockchain Technolog...

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3rd international Conference on Inventive Research in computing applications, ICIRCA 2021

作者： Bharti, Vishal Anand, Darpan Chandigarh University Department of Computer Science and Engineering Punjab Gharuan Mohali140413 India

ISBN: (纸本)9780738146270

Blockchain is the emerging technological field for the current era due to its advantages such as distributed computing, transparency, cryptography enabled secure communication and message as well as source integrity. This technology is the innovation which can prompt critical changes the existing business climate and will have unexpected outcome. Blockchain can change the existing system and processes in which the organizations and business works, and able to modify our economy and financial system. It is distributed, decentralized and disseminated record novelty that expects to guarantee truthfulness. Since it can't be transformed or counterfeit most of the current focus in the research area as of cryptocurrency like BITCOIN. Blockchain Technology is something beyond digital currency, and it can have a few applications in government, money and banking industry, bookkeeping and business Process Management. Hence, this examination endeavors to research and investigate its chances and difficulties for the momentum or future uses of Blockchain Technology. In this way, an enormous number of distributed investigations were painstakingly checked on and broke down dependent on their commitments to the Blockchain's assortment of information. © 2021 IEEE.

关键词： Blockchain

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Efficient and Verifiable Skyline Computation on Blockchain System with Merkle B+ Tree Index

Efficient and Verifiable Skyline Computation on Blockchain S...

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international symposium on Parallel and distributed Processing with applications, ISPA

作者： Hao Ding Xuefeng Piao Huihui Song Jiasi Li Zhenzhou Ji Meng Liu Jie Liu Wenjie Dong School of Computer Science and Engineering Harbin Institute of Technology Harbin China School of New Energy Harbin Institute of Technology Weihai China Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China Yantai Power Supply Company State Grid Shandong Electric Power Company Yantai China Dongfang Electronics Co. Ltd. Yantai China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

With the advancement of blockchain technology, its application in data management and query processing has garnered increasing attention. However, as a distributed database system, blockchain currently falls short in supporting diverse data query requirements. Skyline computation, which identifies Pareto optimal solutions in multi-dimensional data, has become an increasingly necessary feature in blockchain environments. Traditional skyline computation methods struggle with inefficiency when handling large-scale and multi-dimensional data, and they lack effective verification mechanisms within a blockchain context. This paper proposes a multi-dimensional data index structure for skyline computation based on a hybrid blockchain architecture of full nodes and light nodes, utilizing Merkle tree and B+ tree. Additionally, an early pruning-based divide-and-conquer strategy is designed based on this index structure. This approach optimizes the skyline query process by computing local skylines to derive the global skyline. Simultaneously, by introducing Bloom filter, we reduce unnecessary I/O operations during result verification, enabling light nodes to perform verification operations more efficiently. Extensive experiments have demonstrated the effectiveness of our proposed scheme, which can improve query speed by an average of 90.08% compared to the BNL algorithm and by an average of 86.12% compared to the SFS algorithm.

关键词： distributed processing Query processing Computer architecture Pareto optimization Filtering algorithms Blockchains Computational efficiency Indexes

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Secure Platform as a Service Using Blockchain Technology (HYPERBASE)

Secure Platform as a Service Using Blockchain Technology (HY...

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Blockchain and distributed Systems Security (ICBDS), IEEE international Conference on

作者： R Anand Adhavan T Balaji M M John Sam Daniel Kiridharan S Department of Computer Science and Engineering Aarupadai Veedu Institute of Technology Vinayaka Mission's Research Foundation Chennai India Department of Computer Science and Engineering KCG College of Technology Chennai India

Blockchain is a decentralized distributed ledger which provides persistence, anonymity and auditability due to the fact that it captivates a lot of observation from the community. Last ten years, blockchain technology has advanced and become practical for a wide range of applications outside the financial industry. Nevertheless, the difficulty of secured resources, which will frequently complicated to expensive also major executors will construct, provide, and also analyze a secured blockchain network which hold up the applications. The quality of their applications is somewhat impacted by the fact that the majority of regular developers or teams cannot guarantee the dependability and pledge of the blockchain network. In this study, the phrase “build a platform for Blockchain as a service(BaaS)refers to the process by providing blockchain services in cloud computing field, for example network configuration, system analyzing, reporting, andsmart contract report analysis. According to the service, the system may focus on the business code and research how to more effectively use blockchain technology to their business contexts but instead of worrying about maintenance and system monitoring. This paper makes a more comprehensive platform that addresses the drawbacks of the current hyperbase platforms, particularly in security and dependability. Additionally, it offers more sophisticated technological features like blockchain technologies and Detecting Security breaches in Identity Blockchain Systems. Moreover, $B$ aaS infrastructure's dependability and fresh trust issues brought along by $B$ aaS impair security, decentralization, and blockchain mechanisms.

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Asymptotic Construction of Locally Repairable Codes with Multiple Recovering Sets

Asymptotic Construction of Locally Repairable Codes with Mul...

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IEEE international symposium on Information Theory

作者： Songsong Li Shu Liu Liming Ma Yunqi Wan Chaoping Xing School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China National Key Laboratory on Wireless Communications University of Electronic Science and Technology of China Chengdu China School of Mathematical Sciences University of Science and Technology of China Hefei China Theory Lab Central Research Institute 2012 Labs Huawei Technology Co. Ltd. Shenzhen China

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

Locally repairable codes have been extensively investigated due to practical applications in distributed and cloud storage systems in recent years. However, not much work on asymptotic behavior of locally repairable codes has been done. In particular, there is few result on constructive lower bound of asymptotic behavior of locally repairable codes with multiple recovering sets. In this paper, we construct some families of asymptotically good locally repairable codes with multiple recovering sets via automorphism groups of function fields of the Garcia-Stichtenoth towers. The main advantage of our construction is to allow more flexibility of localities.

关键词： Cloud computing Codes Poles and towers

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The Innovations and Trends of Information Technology with AI: Weapons to Reassemble the Future World

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Journal of Computer and Communications 2024年第12期12卷 34-54页

作者： Nur Vanu Md. Omar Farouk Md. Samiun Sadia Sharmin Misha Billah Saddam Hossain Department of Business Administration Trine University Angola USA Department of Industrial System Engineering School of Engineering & Technology (SET) Asian Institute of Technology (AIT) Khlong Luang Thailand Department of Business Administration International American University Los Angeles USA Department of Mathematics University of Texas at Dallas Richardson USA Department of Public Administration Gannon University Erie USA

Information Technology or AI, a combination of computer science, logic, biology, psychology, and philosophy, is set to dominate our future, revolutionizing social progress, labor productivity, and cost reduction. It is essential for AI database integration and the next generation of computing, supporting Intelligent Information Systems and distributed cooperative labor. AI and IT integration are enhancing efficiency, creativity, and digital capabilities, with applications in customer service, healthcare, personalized medicine, and driverless cars. The paper tends to review the developments and trends in information technology using artificial intelligence (AI) as weapons to re-build the future world. With qualitative analysis of previous research studies, the paper tries to explain the role of AI in present information flow as well as for future. And after studying the selective papers it efficiently explains the advantage of AI in both human and environmental way. AI has the potential to significantly impact our lives, but fundamental questions remain unanswered about its extent, scope, and timeline. Current tools are insufficient to predict future AI achievements or fully comprehend its capabilities. To determine the readiness level for different technologies with AI, criteria are defined based on historical evolution. AI has revolutionized the IT industry, improving efficiency, productivity, and quality. However, concerns arise about the potential impact on the workforce, with concerns about job redundancy and potential unjust outcomes in critical areas like employment, finance, and law enforcement.

关键词： Artificial Intelligence Technical World Intelligence Augmentation Technology Advantage Cybersecurity

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Ranking on Heterogeneous Manifold for Multimodal Information Retrieval

Ranking on Heterogeneous Manifold for Multimodal Information...

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IEEE international Conference on Big Data and Cloud computing (BdCloud)

作者： Zhenkun Jin Xingshi Wan Xin Nie Xinlei Zhou Yuanyuan Yi Gefei Zhou Wuhan Business University Wuhan Research Institute of Posts and Telecommunications Wuhan China Wuhan Research Institute of Posts and Telecommunications Wuhan China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Huazhong University of Science and Technology Wuhan China School of Journalism and Information Communication Huazhong University of Science and Technology Wuhan China School of Computer Science & Technology Huazhong University of Science and Technology Wuhan China

In light of recent advancements in Internet of Multimedia Things (IoMT) and 5G technology, both the variety and quantity of data have been rapidly increasing. Consequently, handling zero-shot cross-modal retrieval (ZSCMR) of unlabeled multi-modal data has emerged as a prominent research topic. Early models utilized generative adversarial networks and class embeddings to assist in building a common feature space. However, this approach resulted in a loss of reliability in the feature distributions of individual modalities. In this paper, we propose a method called Ranking on Heterogeneous Manifold (RHM) to address the aforementioned issue. Our model comprises three feature extractors, each dedicated to extracting features from text, images and multimodal data. Subsequently, the relationship structures derived from these feature extractors are employed to construct a heterogeneous manifold. A diffusion process is then conducted on this heterogeneous manifold, ultimately yielding the final ranking scores. Comprehensive experiments demonstrate that the proposed modal has the capability to acquire more effective knowledge representation, thus enhancing the effectiveness of ZSCMR.

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MPLNet: Industrial Anomaly Detection with Memory Bank and Prompt Learning

MPLNet: Industrial Anomaly Detection with Memory Bank and Pr...

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international symposium on Parallel and distributed Processing with applications, ISPA

作者： Hao Zhou Xuanru Guo Mingcheng Ji Jielin Jiang Haolong Xiang Shengjun Xue Nanjing University of Information Science and Technology Nanjing China University of Science and Technology Beijing Beijin China Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services China Silicon Lake College Suzhou China

ISBN: (数字)9798331509712

ISBN: (纸本)9798331509729

Anomaly detection is a critical aspect of industrial production processes. Most of the self-supervised training system utilise Convolutional Neural Networks (CNNs) for feature extraction. However, these methods often exhibit poor detection performance on small structural anomalies due to the limited receptive field of CNN. The prompt learning method has been demonstrated to be an effective means of enhancing the global information extraction abilities of the model. However, this approach necessitates the input of a significant number of manual prompts. To address these issues, we propose a Memory And Prompt Learning Based Network (MPLNet) for anomaly detection. MPLNet obtains the differences information between normal and detected images by comparing their features and then uses these differences to generate prompts. By automatically generating prompts, it reduces the workload of manually entering prompts in prompt learning. At the same time, it effectively enhances the model’s ability to extract and use global information. Extensive experiments have shown that the proposed MPLNet achieves state-of-the-art anomaly detection performance on the widely used and challenging MVTec AD dataset and MVTec AD-3D dataset. Index Terms—Anomaly detection, U-Net, Transformer, Prompt, artificial intelligence System

关键词： Training Location awareness Learning (artificial intelligence) Production Manuals Feature extraction Transformers Pins Convolutional neural networks Anomaly detection

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An Innovation Development of New Perspective of Efficient Approaches, Techniques and Challenges for Data Centers

An Innovation Development of New Perspective of Efficient Ap...

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distributed computing and Electrical Circuits and Electronics (ICDCECE), IEEE international Conference on

作者： Sahana Shetty H. K Shashikala Department of Computer Science and Engineering Jain (Deemed-to-be University) Bangalore India

Data centers are essential components of the modern digital world. They provide the necessary resources and infrastructure to enable access to online services and applications, enabling individuals and organizations to communicate, collaborate, and access information in real time. Data centers are an essential part of the internet and are used to manage and store data, providing access to a wide range of services. They provide organizations with the ability to store, access, and process data. Data centers are the backbone of the digital revolution, enabling organizations and individuals to connect with the world. Data centers are essential for providing secure access to data and resources. They are designed with security features such as firewalls, encryption, and authentication that protect data from unauthorized access. Data centers also provide advanced networking and storage solutions to ensure data is secure, reliable, and available for use. Data centers are also important for reducing operational costs. They provide the necessary resources and infrastructure to reduce hardware and software costs, as well as energy costs associated with running hardware and applications. This reduces the overall cost of doing business and allows organizations to focus on their core competencies.

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Using Blockchain technology for transparent and secure Financial Transactions in the Contemporary business Landscape

Using Blockchain technology for transparent and secure Finan...

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Trends in Quantum computing and Emerging business Technologies (TQCEBT), international Conference on

作者： Meera K L C. Vijai Rosy Kalia Harshal Raje Gautam Sen Mohit Tiwari Centre of Management Studies Jain (Deemed-to-be) University Bengaluru Department of Commerce and Business Administration Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India Indira School of Business Studies PGDM Pune Global Business School and Research Centre Dr. D.Y. Patil Vidyapeeth Pimpri Pune Maharashtra India Commerce Sundarban Hazi Desarat College University of Calcutta WB Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering Delhi

ISBN: (数字)9798350384277

ISBN: (纸本)9798350384284

Blockchain is a very useful technique in many areas including finance/insurance /banking services. It does not require any third-party so it is impossible to delete/alter/temper information once loaded on it. It is time-efficient and cost-friendly. It allows smooth and quick KYC update and permits real-time document verification. The encryption in blockchain network make use of cryptography algorithm and hashing for sharing data between participants. Such kind of encrypted transactions later get added in other blocks in the network. Because of immutability nodes in a blockchain system ledger operate in alignment for validation of transactions. Modification of any individual operation can only happen in consensus of other nodes that renders data more secure and reduces any temper attempts. Utilizing blockchain for fintech has given rise to a new type of model for financial usage which is called as decentralized finance DeFi. DeFi means those technical operations that ensure distributed financial exchange missions on blockchain network the combination of Fintech and blockchain in a DeFi has resulted in transparent, temper-proof, convenient, rigid, robust, and customized financial services and completely uprooted the very existence of third-party intermediaries

关键词： Technological innovation Sociology Smart contracts Finance Information sharing Banking Decentralized applications

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