Abstract: The defect detection technology of power equipment based on video image is one of the key technologies to realize intelligent operation and maintenance. It can solve the problems of intelligent identification of external defects in automatic fault di...
Abstract: Digital twin power grid aims to build the digital twin of physical power grid for power grid company using the emerging digital twin technology. The three key characteristics of digital twin power grid are summarized as data knowledge hybrid driven, ...
Abstract: Battery pack is an important part of the energy system of electric vehicles. Ensuring its safety is of great significance to the intelligent development of electric vehicles and human life and property. Detecting and guaranteeing the safety of batter...
Abstract: Edge computing has become an effective solution for the Internet Of Things (IOT) and the microservice model divides the IOT application into a group of loosely coupled and interdependent fine-grained microservices. Due to the limit resource of edge n...
Abstract: The inspection of transmission line fittings is an indispensable part of power grid security situation awareness. Focusing on the fact that the current transmission line component defect classification model cannot handle the problem of unlimited dat...
Abstract: With the increasing scale of domestic power system and the continuous deepening of the reform of domestic power market and carbon emission market, the reasonable arrangement of the unit maintenance scheduling has a more and more important impact on t...
Abstract: Since status lights and instruments of power switchgear have the characteristics of high density and ectopic image, the detection ability of basic features such as target morphology, chromaticity comparison, and lightweight recognition ability in edg...
Abstract: Considering the diversity of power services in smart grid, the reliability requirements of different levels of services are analyzed. A link-failure model is built, and an availability-oriented routing planning algorithm is designed based on the buil...
Abstract: Focusing on the problems of low time-frequency resolution and large amount of calculation in the traditional S-Transform, a modified S-Transform based on the optimal Bohman window is proposed. In order to extract accurately and quickly the characteri...
Abstract: In order to achieve the flexible operation of microgrids, distributed cooperative control is always implemented to manage the distributed renewable energy resources within microgrids due to its better flexibility reliability and scalability. However,...
Abstract: Deep learning has been widely applied to the field of indoor personnel detection. However, the traditional convolutional neural networks have a high complexity and require the support of highly computational GPU. It is difficult to accomplish the imp...
Abstract: Future smart grid will incorporate an increasing number of Distributed Energy Resources (DERs), which have the potential to enhance the system energy efficiency, economics, resilience, and sustainability. However, The DERs, dominated by wind power an...
Abstract: In a large-scale Weapon-Target Assignment (WTA) problem, the explored solution space becomes enormous due to the curse of dimensionality, and it causes low-efficiency in searching optimization solution. For solving this problem effectively, a WTA opt...
Abstract: In this article, the unknown and dynamic interference in the wireless communication environment is studied. Jointly considering communication channel access and transmit power control, a fast reinforcement learning strategy is proposed to ensure reli...
Abstract: With the wide application of Unmanned Aerial Vehicle (UAV), the UAV-assisted Internet of Things (IoT) data collection architecture has expanded IoT’s application scope, which is especially suitable for extreme scenarios like military battlefields or ...
Abstract: For the Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC) system, it is proposed to balance the energy consumption of UAV and ground equipment by adding a weight factor to the energy consumption of ground equipment, considering that ...
Abstract: Recently, Reconfigurable Intelligent Surface (RIS) has attracted a lot of attention from both academia and industry as a new revolutionary technology. With the increase of communication frequency and the RIS elements, the operating conditions of RIS-...
Abstract: In-Band Full Duplex (IBFD) technology can effectively improve the spectral efficiency of wireless communication system, which has attracted extensive attention in recent years. However, the linear and nonlinear self interference caused by simultaneou...
Abstract: Video Synthetic Aperture Radar (VideoSAR) can acquire high frame rate image sequence of observation scene. Moving target state can be detected by using the shadow formed by ground moving targets such as vehicles in the image sequence. This method has...
Abstract: Considering solving the problem that the application of conventional feature recognition methods is limited and the depth learning method needs a large amount of labeled data to achieve high recognition performance in radar deception jamming recognit...
Abstract: In the surrounding electromagnetic space, there are a large number of interleaved radar pulse trains consisting of pulse sequences with fixed repetition intervals, such as ship-borne navigation radar signals, airborne pulse Doppler radar signals, etc...
Abstract: The Three-Dimensional(3D) parameter estimation algorithm of the helicopter with constant speed circular flight from the underwater acoustic data with single hydrophone is proposed. Firstly, the helicopter line spectrum is used as the characteristic o...
Abstract: Considering the problems of the existing acoustic target depth classification methods in shallow water, such as limited frequency range and high signal-to-noise ratio requirements, on the premise of effective ranging results, a novel target depth cla...
Abstract: Noise may be generated in the process of image capture, transmission or processing. When the image is affected by a large amount of noise, it is difficult for many pedestrian Re-IDentification(ReID) methods to extract pedestrian features with suffici...
Abstract: Path planning is a step to generate a feasible path for a robot to track along. Locations of the robot are supposed to lie on or at least nearby the planned path, which can thus generate important constraints for robot localization. In this paper, a ...
Abstract: Depth completion is a task of estimating dense depth maps from sparse measurements under the guidance of dense RGB images. Dense depth map is critical for object detection, autonomous driving and scene reconstruction. Hence, depth completion of road ...
Abstract: Blind Source Separation (BSS) aims to separate the source signals from the mixed observations without any information about the mixing process and the source signals, which is a major area in the signal processing field. In Underdetermined Blind Sour...
Abstract: In order to improve the accuracy of the single image dehazing method and the detail visibility of its dehazing results, a single image dehazing method based on multi-scale features combined with detail recovery is proposed. Firstly, according to the ...
Abstract: The integration of view-based 3D model classification and deep learning can effectively improve the classification accuracy. However, current methods consider that the views from different viewpoints of 3D model with same category belong to the same ...
Abstract: In the process of target extraction in low Depth Of Field (DOF) image, it is easy to get incomplete target extraction or the background is mistakenly recognized as a target. A low DOF image target extraction method based on Singular Value Difference ...
Abstract: Early screening of dysphagia is an important means to reduce the incidence of dysphagia, and accurate identification of Swallowing Events (SE) is a key step in the screening and treatment of dysphagia. Impedance PharyngoGraphy (IPG) is a new non-inva...
Abstract: Cross-border e-commerce products recommendation has become one of the emerging researching topics in the field of e-commerce. Due to the diversity and complexity of e-commerce product information, the “user-item” correlation matrix is extremely spars...
Abstract: Due to good correlation and orthogonal properties, Linear Complementary Dual (LCD) codes over the finite fields can be used to defend against channel attacks. As a very important class of codes in coding theory, self-orthogonal codes can be used to c...
Abstract: Considering the problem of effective repair of minimum bandwidth regenerating codes, a construction algorithm of Fractional Repetition (FR) codes based on difference set matrix is proposed. The orthogonal array is constructed by using the difference ...
Abstract: Based on the support of binary sequences and low correlation sequence sets, a new framework for constructing periodic quasi-complementary sequence sets is proposed. Based on this framework, three classes of asymptotically optimal and asymptotically a...
Abstract: With the arrival of the “computing power era”, large-scale data need to go back and forth between the memory and the processor. However, the demand for frequent access can not be achieved in the traditional Von Neumann architecture which separates th...
Abstract: Radio Frequency Integrated Circuits (RFICs) show poor robustness to static non-ideal factors introduced by process deviations, device mismatches, device nonlinearities, and dynamic non-ideal factors introduced by temperature changes, gain changes, an...