Worldwide, millions of peoples are affected by complex neuro degenerative disorder, that is known as PD (Parkinson Disease). In recent years, it is very critical for accurate diagnosis of PD at early stage for impleme...
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One of the main problems that exists in financial agencies is phishing attacks that have unauthorized access to technological systems. For this reason, the study conducted aimed to optimize computer security at the Cr...
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In order to solve the problems of low efficiency and difficult practical application of the centralized method in the coordinated control of urban road network signals, this paper proposes a game-based multi-intersect...
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ISBN:
(纸本)9798350379860;9798350379877
In order to solve the problems of low efficiency and difficult practical application of the centralized method in the coordinated control of urban road network signals, this paper proposes a game-based multi-intersection cooperative control method. By constructing a distributed game model, the signal control between intersections is regarded as a game relationship, and the Nash equilibrium solution is solved by using a mixed strategy game, and the signal control strategies of each intersection are obtained. At the same time, combined with the multi-agent reinforcement learning framework, Nash Q-learning is used to update the benefit matrix to realize the learning strategy of the agent. Simulation results show that the proposed method can significantly reduce the average delay and waiting time under low traffic demand[1], and outperforms single-agent control under high traffic demand, effectively avoiding traffic congestion and reducing network delay.
Electric power is one of the important pillars to safeguard the national economy. Accurate identification of power transmission channel faults is an important means to ensure the normal power supply. In recent years, ...
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In order to enable the robot to safely pick the target object from it in the face of a scene with multiple objects stacked in a disorderly manner. It is of great importance for intelligent robot grasping to get the op...
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With the development of intelligent Transportation systems (ITS), real-time processing and privacy protection for traffic data become particularly important. In this research, we explore how to process traffic data ef...
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The primary objective of the launch and recovery system (LARS) is to extend the operational time of battery-powered unmanned aerial vehicles (UAVs) by providing continuous power via a tether while ensuring safe flight...
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ISBN:
(纸本)9798350386394;9798350386400
The primary objective of the launch and recovery system (LARS) is to extend the operational time of battery-powered unmanned aerial vehicles (UAVs) by providing continuous power via a tether while ensuring safe flight operations. However, the tether introduces coupling between the LARS and UAV, increasing the system's complexity, and demanding the development of algorithms for coordinated control. Additionally, mounting the LARS on a mobile robot or vehicle provides significant operational flexibility, but introduces spatial constraints in terms of design, thereby limiting the landing platform size. This means there is no margin for error in the landing phase, making precise and reliable estimation of the UAV's position relative to the LARS an imperative. This paper gives a comprehensive overview of the developed system and emphasizes the approach taken to address these challenges from a control and estimation perspective. The effectiveness of the system and proposed control algorithms is validated in a real-world environment through field tests carried out during the SeaClear project demonstrations.
As Facial Recognition System(FRS) is widely applied in areas such as access control and mobile payments due to its convenience and high accuracy. The security of facial recognition is also highly regarded. The Face an...
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ISBN:
(纸本)9798350339826
As Facial Recognition System(FRS) is widely applied in areas such as access control and mobile payments due to its convenience and high accuracy. The security of facial recognition is also highly regarded. The Face anti-spoofing system(FAS) for face recognition is an important component used to enhance the security of face recognition systems. Traditional FAS used images containing identity information to detect spoofing traces, however there is a risk of privacy leakage during the transmission and storage of these images. Besides, the encryption and decryption of these privacy-sensitive data takes too long compared to inference time by FAS model. To address the above issues, we propose a face anti-spoofing algorithm based on facial skin patches leveraging pure facial skin patch images as input, which contain no privacy information, no encryption or decryption is needed for these images. We conduct experiments on several public datasets, the results prove that our algorithm has demonstrated superiority in both accuracy and speed.
Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into th...
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Battery-Supercapacitor based Hybrid Energy Stor-age System supports a DC Microgrid improving its power profile. The Supercapacitor reduces the stress on the battery storage system by supplying power in transient condi...
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