When dealing with epidemic spread, a very common And dangerous situation is the presence of an epidemic disease and a complication, especially in an elderly population or a weakened one. In this case the complication,...
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In this paper the problem of the HIV/AIDS spread reduction is addressed in the framework of optimal control theory. A model recently proposed has been adopted;it considers two classes of susceptible subjects, the wise...
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This paper presents design considerations of indoor and outdoor navigation techniques proposed for unmanned vehicles (UV). In this paper, we mainly investigate the use and the advantages of wireless sensor networks (W...
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The early detection of anomalous behaviors from a production line is a fundamental aspect of Industry 4.0, facilitated by the collection of massive amounts of data enabled by the Industrial Internet of Things. Nonethe...
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To avoid falling into local optimum solution and improve global optimum efficiency and accuracy of particle swarm optimization, a novel particle swarm optimization model with centroid of population is proposed, which ...
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In this study, MMSE-K and a PTP reaching task in a VR space were conducted on groups of university students and senior citizens to find out the relationship between cognitive and motor performance indices. During cont...
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Service robots are expected to operate in specific environments, where the presence of humans plays a key role. A major feature of such robotics platforms is thus the ability to react to spoken commands. This requires...
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The scalability of control algorithms controlling industrial assembly lines either model-based or model-free is still a big barrier from the point of view of implementation. In this paper, various Deep Reinforcement l...
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Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the enti...
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ISBN:
(纸本)9783540758525
Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual and limited to post-reaction of user complaints which are followed by noticeable process malfunctioning. This paper identifies control network specific failures and their symptoms for early detection
This paper presents the development of a maximum power point tracking algorithm using an artificial neural network for a solar power system. By applying a three layers neural network and some simple activation functio...
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