With the rapid development of blockchain technology in the financial sector, the security of blockchain is being put to the test due to an increase in phishing fraud. Therefore, it is essential to study more effective...
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As Cloud computing is growing, severe energy consumption of the cloud cluster poses new challenges for environmental protection. In this paper, we present a novel algorithm to support the concept of Green Cloud comput...
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The disturbance of atmospheric turbulence during laser transmission is a major problem in the field of high-energy laser transmission and communication. Fast and real time wavefront sensing is one of the key technolog...
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security and efficiency for using RSA signature scheme are critical requirements for many network applications. In this paper, we present a game model for Incomplete Key Set Signature Scheme (GMIKSS). By analyzing our...
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Due to the broadcast nature of wireless communications, the damage to mobile ad hoc networks is becoming more and more common. We propose a network stability model that can effectively reflect the network performance ...
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Radio signal classification has a very wide range of applications in cognitive radio networks and electromagnetic spectrum monitoring. In this article, we consider scenarios where multiple nodes in the network partici...
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A Ka-band quasi-elliptic bandpass filter (BPF) based on stereolithography apparatus (SLA) 3-D printing technique is proposed. The filter consists of four coupled resonators with three direct couplings between adjacent...
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MIMO technology has been widely used in the telecommunication systems nowadays, and the space-time coding is a key part of MIMO technology. A good coding scheme can exploit the spatial diversity to correct the error w...
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Signal modulation recognition is an important and complicated problem in spectrum monitoring. In recent years, many advanced deep learning methods have been proposed for this problem. However, the high computational c...
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Signal modulation recognition is an important and complicated problem in spectrum monitoring. In recent years, many advanced deep learning methods have been proposed for this problem. However, the high computational c...
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