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Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
This paper studies the finite-time state estimator design of static neural networks with Markovian jumping parameters and mixed delays. The Arcak-type estimator is designed via introducing additional control terms in the domains of activation functions. Its advantage is that the role of gain coefficients of the activation functions on this issue can be analyzed. A linear matrix inequalities based...
Convolutional neural network (CNN) has been successfully applied in character recognition. To further reduce the error rate of classification, based on traditional CNN, a recurrent-type CNN (RCNN) is presented in this paper. The Elman-Jordan recurrent model is embedded in the full connection layer of the proposed CNN. By optimizing the structure of the traditional CNN and making full use of the better...
Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for vehicles remains a challenging task. To the best of our knowledge, none of the previous research considered using on-road taxicabs as mobile video surveillance cameras and road traffic flow patterns, therefore not suitable for recovering trajectories of vehicles. With this insight, we model the travel...
Measuring point traffic volume and point-to-point traffic volume in a road system has important applications in transportation engineering. The connected vehicle technologies integrate wireless communications and computers into transportation systems, allowing wireless data exchanges between vehicles and road-side equipment, and enabling large-scale, sophisticated traffic measurement. This paper investigates...
Traditional networks rely on aggregate routing and decentralized control to achieve scalability. On the contrary, software-defined networks achieve near optimal network performance and policy-based management through per-flow routing and centralized control, which however face scalability challenge due to (1) limited TCAM and on-die memory for storing the forwarding table and (2) per-flow communication/computation...
Recently, we proposed a musculoskeletal model to simultaneously predict motion along metacarpophalangeal (MCP) and wrist flexion/extension degrees-of-freedom (DOFs) from surface electromyography (EMG) signals. Since wrist pronation/supination is also functionally important, we extended the musculoskeletal model to simultaneously estimate wrist pronation/supination in addition to wrist and MCP flexion/extension...
Frequency diverse array (FDA) radar produces a time-variant transmit beampattern depending on both the range and angle parameters, which offers potential applications in electronic countermeasure scenarios, especially in the presence of mainlobe jamming signals. However, the range and angle of targets cannot be unambiguously estimated by a standard FDA radar due to its range-angle coupling response...
With the improvement of flash memory storage density, data reliability and flash lifetime are decreased. Error correction codes (ECC) and error management schemes can boost both reliability and lifetime. However, in order to develop effective fault tolerance algorithms and management solutions, it is very necessary to have a more profound understanding of failure modes of flash memory. To enable such...
Crowdsensing is regarded as an efficient way to collect a large number of sensing data by using sensor-equipped mobile phones. Most of the existing studies, which concentrate on the crowdsensing task assignment issue, often assume that there is only one data consumer in the system. Obviously, there may exist multiple data consumers in one real crowdsensing system, thus the previous works based on...
This article presents a new bionic two-DOF robotic joint mechanism that makes it possible to mimic the humanlike motion completely. The proposed joint generates the two-DOF motion in a spherical surface free by the coupled motions of two independent motor-drive pairs. Also, it has the advantage that the payload ability, output power and stiffness of the mechanism can be increased greatly. Mechanism...
On consideration of analyzing the relation between drivers' decisions when the vehicle-cross process happens in a non-signalized intersection, a cooperative driving model is proposed based on reduplicate dynamic game. Considering some driving characteristics in our daily life, a profit function is established with safety, rapidity and comfort indicators in vehicle-cross process. Then, the multiple...
Mobile crowdsensing is a new paradigm in which a group of mobile users exploit their smart devices to cooperatively perform a large-scale sensing job over urban environments. In this paper, we focus on the Deadline-sensitive User Recruitment (DUR) problem for probabilistically collaborative mobile crowdsensing. Unlike previous works, mobile users in this problem perform sensing tasks with probabilities,...
It has been known that the centers initialization and parameters updating algorithm are two crucial factors in radial basis function neural network (RBFNN) training process. This paper focuses on the learning of complex-valued radial basis function (FCRBF) networks. A distance-based center initialization method, where both the interclass distance and intraclass difference are taken into consideration,...
This paper aims at investigating the design problem of finite-time H∞ controller for Makovian jump systems with discrete and distributed delays. The two kinds of time delays are assumed to depend on system modes. By employing some integral inequalities and generalized Itô's formula, two delay-dependent criteria are built under which the studied Markovian jump system is stochastic finite-time bounded...
This paper introduces the dangerous rock testing system based on FPGA technology research. This system will be the FPGA as the core, realize the function of the video image acquisition and image processing. The research of this system using the FPGA's excellent characteristics of high-speed processing, highly integrated is focused on judging and tracking to such as dangerous rock moving targets. The...
The purpose of this study was to compare the cognitive workload of able-bodied individuals when using a myoelectric prosthetic under direct control (DC) or electromyography pattern recognition (PR) control. Different from existing clinical evaluations involving dual-task performance, pupillography measured with an eye-tracking system was used to quantitatively assess user cognitive workload in using...
Silicone rubber (SR) and polymethylmethacrylate (PMMA) are widely used as insulators. To ensure the safe and stable operation of electrical equipment, it is very necessary to study the flashover performance of insulating materials. In this paper, the surface flashover characteristics of SR and PMMA under atmospheric pressure were studied by using the bar-bar electrode and pin-pin electrode, which...
Neural-machine interface (NMI) decoding errors challenge the clinical value of neural control of powered artificial legs, because these errors can dangerously disturb the user's walking balance, cause stumbles or falls, and thus threaten the user's confidence and safety in prosthesis use. Although extensive research efforts have been made to minimize the NMI decoding error rate, none of the current...
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate...
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