With the aid of the bosonic mode conversions in two different coordinate frames, we show that （1） the coordinate eigenstate is exactly the EPR entangled state representation, and （2） the Laguerre-Ganssian （LG） m...
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With the aid of the bosonic mode conversions in two different coordinate frames, we show that （1） the coordinate eigenstate is exactly the EPR entangled state representation, and （2） the Laguerre-Ganssian （LG） mode is exactly the wave function of the common eigenvector of the orbital angular momentum and the total photon number operator. Moreover, by using the conversion of the bosonic modes, the Wigner representation of the LG mode can be obtained directly. It provides an alternative to the method of Simon and Agarwal.
Moving object segmentation(MOS),aiming at segmenting moving objects from video frames,is an important and challenging task in computer vision and with various *** the development of deep learning(DL),MOS has also ente...
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Moving object segmentation(MOS),aiming at segmenting moving objects from video frames,is an important and challenging task in computer vision and with various *** the development of deep learning(DL),MOS has also entered the era of deep models toward spatiotemporal feature *** paper aims to provide the latest review of recent DL-based MOS methods proposed during the past three ***,we present a more up-to-date categorization based on model characteristics,then compare and discuss each category from feature learning(FL),and model training and evaluation *** FL,the methods reviewed are divided into three types:spatial FL,temporal FL,and spatiotemporal FL,then analyzed from input and model architectures aspects,three input types,and four typical preprocessing subnetworks are *** terms of training,we discuss ideas for enhancing model *** terms of evaluation,based on a previous categorization of scene dependent evaluation and scene independent evaluation,and combined with whether used videos are recorded with static or moving cameras,we further provide four subdivided evaluation setups and analyze that of reviewed *** also show performance comparisons of some reviewed MOS methods and analyze the advantages and disadvantages of reviewed MOS methods in terms of ***,based on the above comparisons and discussions,we present research prospects and future directions.
This paper investigates the stability as well as communication properties of sampleddata control and two event-triggered control schemes: deadband control and model-based eventtriggered control. After proposing a unif...
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Limit properties of the QSIM algorithm with respect to the spurious behaviours have been analysed in this short paper, in the case of approximating landmark sets and non-qualitative right-hand side functions. It has b...
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As a prerequisite for precise trajectory tracking of a two-wheeled mobile robot, accurate control of the velocity and the curvature along a predefined trajectory is vital. After offline training, a neural network is u...
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Abstract This paper presents a control design approach for Input/Output (I/O) automata. The main contribution consists of an explicit description of the control design procedure, which leads to an implementation-frien...
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Abstract This paper presents a control design approach for Input/Output (I/O) automata. The main contribution consists of an explicit description of the control design procedure, which leads to an implementation-friendly architecture. Moreover, the concepts of well-posedness of the control loop and controllability are investigated. The level control of a chemical process is used as a case study for demonstration purposes.
This paper presents a new formalism for fault-tolerant control of nondeterministic Input/Output automata. The mathematical framework is based on a combination of set theory, Boolean operators and automata unfolding. T...
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This paper presents a new formalism for fault-tolerant control of nondeterministic Input/Output automata. The mathematical framework is based on a combination of set theory, Boolean operators and automata unfolding. The main contribution consists of a uniform methodology to tackle control design, diagnosis and control reconfiguration. The recently published necessary and sufficient condition for the reconfigurability of a controller is revisited with the presented mathematical framework.
Bursting is a diverse and common phenomenon in neuronal activation patterns and it indicates that fast action voltage spiking periods are followed by resting *** interspike interval(ISI)is the time between successive ...
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Bursting is a diverse and common phenomenon in neuronal activation patterns and it indicates that fast action voltage spiking periods are followed by resting *** interspike interval(ISI)is the time between successive action voltage spikes of neuron and it is a key indicator used to characterize the ***,a three-dimensional memristive Hindmarsh-Rose(mHR)neuron model was constructed to generate hidden chaotic ***,the properties of the discrete mHR neuron model have not been investigated,*** this article,we first construct a discrete mHR neuron model and then acquire different hidden chaotic bursting sequences under four typical sets of *** make these sequences more suitable for the application,we further encode these hidden chaotic sequences using their ISIs and the performance comparative results show that the ISI-encoded chaotic sequences have much more complex chaos properties than the original *** addition,we apply these ISI-encoded chaotic sequences to the application of image *** image encryption scheme has a symmetric key structure and contains plain-text permutation and bidirectional diffusion *** results and security analyses prove that it has excellent robustness against various possible attacks.
Dear Editor,This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change *** detection is fundamental to many computer vision *** existing solutions based on ...
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Dear Editor,This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change *** detection is fundamental to many computer vision *** existing solutions based on deep neural networks are able to achieve impressive results.
Abstract This paper presents a new approach for modeling a discrete-event systems under the presence of faults. Input/Output automata are used to represent the nominal and faulty behavior of a plant for fault detectio...
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Abstract This paper presents a new approach for modeling a discrete-event systems under the presence of faults. Input/Output automata are used to represent the nominal and faulty behavior of a plant for fault detection and identification. Assuming that a model of the nominal behavior of a plant is available, it is usually a nontrivial task to derive a model of the plant subject to actuator, sensor and system internal faults. This task often require some expertise or a large amount of data on the faulty behavior of the plant. The key aspect of the paper is the introduction of suitable functions enabling to reduce the amount of information needed to model a faulty behavior. The method presented here fits in the nondeterministic Input/Ouput automata framework where actuator, sensor and internal system faults are considered. The proposed approach is applied to a chemical plant for demonstration.
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