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Brain-computer interface (BCI) can help patients who lost control over most muscles but are still conscious to communicate or interact with the environment. In the offline experiment, all the subjects have to do is counting the target stimulus when they were using the visual-evoked event-related potential (ERP) based BCIs. The recorded electroencephalogram (EEG) data was used to train the classification...
In this paper, we propose a tensor-based non-local filtering technique for image and MRI denoising using Bayesian CP factorization (BCPF). This approach simply groups together similar sub-tensors (e.g., 3D tensors) selected from a noisy tensor and forms a 4D stack, then decomposes this stack into latent factors by employing BCPF, resulting in a filtered group of 3D sub-tensors. This procedure is repeated...
The exact mechanism of translate mechanical signals of the focal adhesion kinase (FAK) into osteoblast differentiation power. PDL cells and MG63 cells were under-100 kPa for different periods. The tension force of focal adhesion kinase (FAK) phosphorylation increases rapidly and upregulation of osteogenic protein expression in periodontal ligament cells, but not in MG63 cells with FAK antisense oligonucleotides...
The paper develops a power allocation strategy for Multi-LED phase-shifted superposition technique that parallelly transmitted to increase the rate of visible light communication (VLC) systems. In this paper, we apply linear zero forcing (ZF) detection and present an optimal power allocation strategy for multi-LED phase-shifted pulse amplitude modulation based indoor VLC multi-input single-output...
Multibeam satellite communication systems (MSC-Ss) have been applied to provide efficiently power and bandwidth utilization for broadband service by employing frequency reuse. However, bandwidth for each beam is divied by frequency reuse which is used to mitigate the adjacent beam interference. Recently researchers resorted precoding as a novel interference mitigation technique to achieve full frequency...
D2D (Device-to-Device) communication, which can decrease the power and enhance spectrum efficiency when sharing the resources of cellular networks, has caused a lot of attention. However, the performance of cellular networks decreases for the interference between cellular users and D2D users. In this paper, we put forward a channel allocation and power control algorithm, which can maximize the capacity...
There is lack of innovative research and analysis techniques in HCI domain pertaining to users' aesthetic perceptions when interacting with information systems. In this study, qualitative research technique using grounded theory approach has been applied. The Emerging Themes Analysis based on qualitative assessment of data provided a theoretical rationalization that users' in an online learning environment...
The accurate measurements for fiber propagation delay is the prerequisite of timing accuracy in high precision optical fiber timing system. A certain of processing is needed for measurements because the original measurements generally cannot meet the accuracy requirement. The commonly used methods such as Adjacent-averaging method and modeling method based on the measurement have low efficiency or...
As a multiple-candidate output format of speech recognition system, word lattice is essential for applications such as keyword spotting, confidence measure, multi-pass decoding and so on. This paper analyzes the problems of generating word lattice using Weighted Finite-State Transducer (WFST) decoders, such as word boundary decision, word position pushing and redundancy existed in the word lattice...
Tracking control design for a class of nonlinear dual-actuator systems is considered in this paper. The dual-actuator system is composed of a nonlinear primary actuator with unknown dynamics and an explicit nonlinear secondary actuator. Time-based switching control law is developed for the primary actuator and sliding mode feedback controller is proposed for the secondary actuator so that the asymptotic...
This paper considers the stabilization problem of an underactuated surface vessel with the roll. First a state transformation is proposed to facilitating the calculator. Then we proposed a time-varying control law to make the states of the vessel asymptotically stable. At last the simulation indicates that the transformation has the advantage and the control law is effective.
In this paper, the critic-actor reinforcement learning method is proposed to solve the path-following problem of underactuated ships. In order to facilitate the design of the reward function, ship path-following control is transformed into calculating a reference course to reduce cross tracking error by the methods of coordinate compression and drift angle compensation. For the purpose of overcoming...
This paper is concerned with the problem of modeling traffic flow at the intersections. First of all, a positive switched system is used to model a single intersection which is the smallest unit of traffic systems. Secondly, model of two coupled intersections is presented on the basis of a multi-agent approach.
The global robust exponential stability of interval complex-valued Cohen-Grossberg neural networks (CGNNs)with mixed delays and distributed delays are considered in this paper. Based on some mild assumptions, we prove the existence, uniqueness and exponential stability of the equilibrium point of the interval complex-valued CGNNs. We introduce two numerical examples in the end.
This paper presents an adaptive Radial Basis Function (RBF) neural network controller for the nonlinear course control of unmanned surface vessel (USV) with modeling errors and unknown bounded environment disturbances. An adaptive RBF neural network system is employed to approximate the uncertain term induced by modeling errors and unknown bounded environment disturbances. It is theoretically proved...
The sliding mode control strategy based on state observer is proposed for a typical MIMO system with nonlinearity and strong coupling characteristics. The mathematical model of inverted pendulum is established by using Lagrange equation. Taking it as an example, through the observation of the state, the on-line estimation of the speed of the cart and the angular speed of the swing link is realized...
A single neural network approximation-based adaptive control design approach is presented for a class of uncertain strict-feedback nonlinear systems. In the controller design, all the unknown terms at intermediate steps are passed down and approximated by a single neural network at the last step. By this way, the controller consisting of an actual control law and an adaptive law can be given directly...
This paper introduces the mechanism analysis of the large beacon calibration errors how to decrease the navigation performance for the AUV (Autonomous Underwater Vehicle). Generally, when the vehicle using inertial navigation system is performing specific tasks in the water, the navigation error accumulates as time goes on; sometimes the navigation algorithm may fail because of a lot of disturbances,...
Aiming at time resource allocation in the phased array radar, a scheduling method over chaos adaptively genetic algorithm was proposed. The optimal scheduling model based on the pulse interleaving technique was established, and the chaos adaptively genetic algorithm was used to search solutions. The initial population was generated by the chaos theory and the adaptive crossover and mutation operators...
Social anxiety (SA) would cause substantial distress and functional impairment. People who falls into SA would produce excessive catecholamine, leading to the elevation of arterial blood pressure (ABP). Moreover, pulse transit time (PTT) has a high correlation with ABP. This paper puts forward to use the PTT series to evaluate SA. The subjects' high anxiety state and low anxiety state are respectively...
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