In the current digital and networked era, the demand for digital copyright transactions is growing, and the traditional centralized registration method has problems such as high costs and long time limits for copyrigh...
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In the current digital and networked era, the demand for digital copyright transactions is growing, and the traditional centralized registration method has problems such as high costs and long time limits for copyright registration, and difficulties in copyright protection. The technical features of blockchain technology, such as decentralization, immutability of information, openness and anonymity, offer new opportunities for digital copyright protection. We design a digital copyright transaction scheme based on blockchain technology. Firstly, we use Java to build an underlying platform that simulates the operation of the blockchain data layer, consensus layer and contract layer, on top of which we design a distributed underlying blockchain platform that can securely generate blocks, generate transactions, validate transactions, add transactions into blocks, broadcast blocks, validate blocks and add blocks into the blockchain, and use an interface tomanipulate the database for the trading functions to be implemented by the platform, and a visual interface is provided to facilitate users' transactions of digital copyright content. The results showthat our platform can effectively address trust, intermediary and execution problems in digital copyright transactions and help reduce copyright infringement.
In response to the optimization design of the matching circuit of piezoelectric ultrasonic transducers, this paper takes battery powered small integrated soar as an example to explore the optimization design method of...
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5G technology represents a progressive leap in Wi-Fi conversation, providing unheard-of pace, connectivity, and capacity. Its deployment has profound implications for modern engineering, impacting industries such as t...
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This paper proposes an innovative CNN and RNN fusion algorithm to optimize the application of multimodal sensing technology in surveying and mapping data collection. The algorithm combines the data of multiple sensors...
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With the wide spread of Internet of Things (loT) devices, edge computing plays a decisive part in meeting the computational demands of loT applications. Efficient resource allocation in such networks is essential to e...
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With the rapid development of data technology, artificial intelligence big data technology has demonstrated unprecedented importance and effectiveness in supporting decision systems. This paper focuses on how artifici...
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作者：
Anbalagan, E.Sasikumar, S.Kumar, M. Guru VimalParamesh, J.Sriram, K.P.Professor
Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Professor
Department of Computer Science and Engineering Saveetha Engineering College Chennai Associate Professor
Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Professor
Department of Computer Science and Engineering Mohamed Sathak A.J. College of Engineering Ekattu Siruseri Chennai India Assistant Professor
Information Technology St.Joseph's Institute of Technology Chennai India
By introducing this collaborative filtering algorithm, which is dependent on machine learning that can be used in enhancing the user-based recommendation systems, this paper is trying to achieve more advanced personal...
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This study focuses on accurately predicting the excitation current in synchronous motors using a hybrid machine learning algorithm. Given the critical role of excitation current in maintaining motor stability and perf...
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According to the basic principle of digital twin technology, a reconfigurable digital twin architecture is proposed to solve the problem of when to reconstruct the reconfigurable manufacturing system. It is designed f...
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Small-sample semantic segmentation is an important task in computer vision. Its purpose is to achieve accurate pixel-level classification in the case of very limited annotation data. Small sample scenarios usually do ...
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