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This paper studies the average consensus problem for a discrete-time multi-agent system with first-order dynamics, we provide the sufficient and necessary stable condition that the step-size needs to satisfy for the multi-agent systems with an iterative method, and the cause of oscillation is investigated with use of matrix diagonal and eigenvalue analysis method. Some conclusions about the largest...
We report a high-efficiency THz parametric oscillator with the THz wave zigzagging inside a slab lithium niobate crystal. When seeded by a signal wave, the device generates a 40-W peak power at 1.8 THz.
In this paper, from the problem of the orientation of sudden pollution source which continuously release pollutants in three-dimensional space, while the orientation of the pollution source in the real environment is random and complex under the influence of the internal movement factors of the lake reservoir fluid, the problems are discussed from two aspects. Firstly, the nonlinear least squares...
The intensive annotation cost and the rich but unlabeled data contained in videos motivate us to propose an unsupervised video-based person re-identification (re-ID) method. We start from two assumptions: 1) different video tracklets typically contain different persons, given that the tracklets are taken at distinct places or with long intervals; 2) within each tracklet, the frames are mostly of the...
In this paper, a new strategy combining the MDPSO (multimodal delayed particle swarm optimization) and continuous Bezier curve is developed for the global smooth path planning of mobile robots. Firstly, the preliminaries on Bezier curve and the MDPSO are briefly introduced. Secondly, the environment modeling is presented and the smooth path planning problem is mathematically formulated. Then, the...
Social sensing has emerged as a new application paradigm in networked sensing communities where a colossal amount of observations about the physical world are contributed by people or devices they use. Our work solves a critical challenge in social sensing applications where the goal is to estimate the reliability of social sensors and the truthfulness of observed variables (typically known as claims)...
A Poisson-Gaussian (PG) denoising method for inservice insulator image is proposed. The existing spatial-based method can avoid the preserve more detail information than the transform-based method. Various transforms have been used for image denoising. However, the transforms have disadvantages such as aliasing and lack of directional selectivity. Meanwhile, the conventional redundant transform-based...
Deep convolutional neural networks (CNNs) have delivered superior performance in many computer vision tasks. In this paper, we propose a novel deep fully convolutional network model for accurate salient object detection. The key contribution of this work is to learn deep uncertain convolutional features (UCF), which encourage the robustness and accuracy of saliency detection. We achieve this via introducing...
Fully convolutional neural networks (FCNs) have shown outstanding performance in many dense labeling problems. One key pillar of these successes is mining relevant information from features in convolutional layers. However, how to better aggregate multi-level convolutional feature maps for salient object detection is underexplored. In this work, we present Amulet, a generic aggregating multi-level...
Permanent magnet synchronous machines (PMSMs) equipped with dual three-phase (DTP) fractional-slot overlapping windings (FSOWs) are characterized by stator modularization, low rotor losses and easy manufacturing. However, the overlapping between the adjacent phase windings may cause poor magnetic insulation in PMSMs, which is undesirable in fault-tolerant applications. This paper proposes a type of...
In this study, a steady and comparatively smooth Ni-P coating on the surface of diamond/Al composite substrate was fabricated by electroless plating, which can outstandingly improve solderability of the composite. By controlling the deposition time, we obtained the growth curve of the Ni-P coating, and as a result we can adjust the thickness of the coating. The solderability was tested by soldering...
Contention-based transmission is a promising solution for small packet traffic in the fifth generation mobile networks (5G). Packet segmentation is applied to efficiently support diverse services with relative fixed transport block (TB) setting. The packet segmentation defined by LTE RLC Unac-knowledged Mode (UM) is used in the study. First, we determine the header overhead of the segmentation. Then...
A patch antenna augmented with a magnetic surface plasmon polariton (SPP) spiral is proposed. It is fed by a small loop antenna. The final prototype of the optimized antenna has an overall size of 80 mm × 80 mm × 1 mm. Simulation results show that it has three working frequency bands; the −10 dB impedance bandwidth of each is: 1.99–2.52 GHz, 3.22–4.26 GHz and 4.71–5.16 GHz. These three working frequency...
This paper proposes an “out-in degree” Laplacian matrix to dispose the distributed optimization problem for both the continuous-time and discrete-time multiagent systems with the first-order dynamics over a general strongly connected digraph. By making use of the out-degree and in-degree Laplacian matrices of the directed graph, we establish the parameter matrix which possesses some properties similar...
Collision avoidance (CA) for an Unmanned Surface Vehicle (USV) is a key technology for autonomy especially in a complex environment. To decide a suitable steering occasion to maneuver for the CA of an USV may be very helpful in some applications such as the long-term monitoring task in the environment with various obstacles. In this paper, a steering occasion strategy is designed. Firstly, a feasible...
A single-feed circularly polarized (CP) patch antenna, characterized by small-size, low-profile and broadband, is proposed for UHF band applications (389MHz-610MHz). Its substrate, made up of water and rogers4003a, will greatly reduce the value of Q, so it can achieve wider bandwidth. The radiation structure consists of four planar spirals, a cross shaped microstrip line, and a T-shaped dipole The...
Deep Neural Networks (DNNs) have substantially improved the state-of-the-art in salient object detection. However, training DNNs requires costly pixel-level annotations. In this paper, we leverage the observation that image-level tags provide important cues of foreground salient objects, and develop a weakly supervised learning method for saliency detection using image-level tags only. The Foreground...
Uncertain data clustering is one significant research in data mining. Many similarity measurements of uncertain objects are proposed. Traditional clustering methods can be extended with these new similarity measurements. In this paper, we propose a new fuzzy c-medoids method for uncertain data clustering, named UFC-medoids. The JS-divergence is used as the similarity measurement between uncertain...
Due to the important roles in relieving energy crisis and environmental pollution, electric vehicles have been developed greatly. Charging facilities are linked to electric vehicles closely, and the accuracy of the charging area and scale affect their applications to a great extent. Based on the transaction data of the charging facilities in a city of northern China, this paper calculates the occupancy...
Vehicle Management System (VMS) is onboard real-time network, which ensures the flight safety and economy by scheduling and managing the onboard resources. With the help of computers, local area network (LAN), simulation software and real-time operation system, we build a distributed computer simulation platform to simulate this onboard network. In this paper, we present a Simulink/RTX/Reflective...
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