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Compressed sensing (CS) is a novel data acquisition method that makes full use of the sparsity of signal. This paper presents a number of results regarding the construction of redundant dictionary for short duration voltage variation (SDVV) signal compressed sensing. The redundant dictionary was the union of three orthonormal bases: Discrete Fourier Transform (DFT), db1 wavelet transform (WT) and...
The rapid development of extra-high voltage, smart power grid and energy internet leads to relative lagging of production management. This management strategy develops electric big data in depth and realizes an intelligent management platform with full life cycle management, standard defect closed-loop management, safety risk control, equipment state evaluation, etc. as its main carriers on the basis...
The most necessary and difficult step of CS(Compressed Sensing) is the sparse representation of the signal. The paper uses DCT(Discrete Cosine Transformation) and DWT(Discrete Wavelet Transform) as the sparse matrix and different power quality signal as the test signal to research and verify the sparse representation and the reconstruction performance. Compare and analyze the performance of the redundant...
In this paper, an adjustable microstrip slot antenna using graphene stacks is designed for terahertz applications. And the graphene stacks consist of graphene/Al2O3 sheets, which are embedded in the microstrip substrate of the proposed antenna. According to simulation result, the frequency resonant bandwidth and radiation of the novel antenna can be dynamically modulated under different chemical potential.
Secondary equipment of real-time information on its status evaluation plays a very important role. And the development of secondary equipment intellectualization and change the way of communication, the equipment real-time state information in an intelligent substation secondary can through the device self-checking information data to realize the online monitoring and network analyzer. Comprehensive...
Deformable part models (DPM) is a typical machine-learning based detection technique. It can achieve great success in detecting accuracy, but have compute-intensive tasks which severely restricts its utilization in many real world applications. In order to get high frame-rate for practical use, accelerators and grid computing infrastructure are needed. This paper propose a grid scheduling scheme which...
Relay protection is important for power system's stable operation. However, logic state of traditional Bayesian network is simplex. To adapt to the relay protection system operation environment with increasing complexity in current years, a risk assessment model of relay protection system based on multiple-state Bayesian networks is established with dynamic and static indexes. Taking advantages of...
When input dimension of BP neural network increased, the structure of BP neural network will become especially complex and it is vulnerable to fall into local optimum in the training process. Therefore, a new algorithm of BP neural network optimized by rough set (RS) and mind evolutionary algorithm (MEA) is proposed. RS theory was used as the front-end date processing system to achieve attribute reduction,...
In this paper, a feeding rate wireless testing method of combine harvester which based on the torque measurement of auger sprocket wheel is described. Wireless torsional strain gauges were designed and fixed in the refitting sprocket, which is used to detect the flow rate of collected corn in a form of torque, and the wireless data transportation is realizing by wireless launching and receiving module...
A test was performed on the short-circuit current of a hybrid HVDC circuit breaker for the first set of flexible DC loop network system with the highest voltage class of ±500kV in the world, and this paper makes an analysis of the breaking function of a DC circuit breaker configured in a distributed manner in a symmetrical bipolar wiring mode. By setting up a four-terminal loop flexible DC...
The LOD is an important technology of scene model management. The multi-resolution LOD based on viewpoint is one of the research focuses. In the paper, a progressive mesh algorithm based on edge collapse is improved, in which a distance between the viewpoint and model is regarded as a discriminant condition, and a half-edge collapse is used to simplify the model. The algorithm will realize the multi-resolution...
Energy saving and emission reduction are of great importance for the development of transportation. Therefore, researchers should conduct precise measurements on energy consumption caused by vehicles to support the applications of green navigation. In most cases, energy consumption are resulted by vehicles driving on the roads, of which are numerous and great mobility and hard to be directly collected...
The ability to accurately and efficiently detect the contents and constituents of petroleum pollutants is important for environment of our ecological system. The fluorescence spectrum technology is applied to petroleum pollutants with high precision. A new type of portable petroleum pollutants fluorescence spectrum detection system based on multichannel sample cells and its optical structure is proposed...
Compared with other lightning target on ground, the most notable feature of wind turbine is that the blade will normally be in a state of rotation during lightning strike. In order to study the specialty and mechanism of the influence of blade rotation on triggered lightning ability, the paper conducted some lightning discharge comparison tests under different status of stationary and rotating blade...
Considering the invalidation of the common airborne integrated navigation system caused by the satellite signal interference, this paper studies the new integrated navigation system, which utilizes the Aircraft Motion Model (AMM) to aid the MEMS-based low-accuracy Strap-down Inertial Navigation System (SINS). The new system operates as a backup airborne navigation method to improve the precision and...
An optimization classification algorithm for MRI images of premature brain injury is introduced. Based on the shortcomings of the classical ID3 algorithm in dealing with the continuous attributes of medical image, the new algorithm selects the testing feature by comparing the information gain ratio and adds the handling methods for filling null values. Then it discrete the continuous attributes by...
Aiming at the particularity of MRI images, the ARC algorithm which is suitable for medical image processing is present. The new method introduces the bi-support association rules based on FP-tree. In the process of generating the rule of association class and constructing the FP-tree, the maximum support is introduced on the premise of minimal support. It can make the support of discovered rules be...
In order to realize the safe and efficient movement of the robot, the method of constructing the grid map with local uncertainty of a mobile robot based on Kinect sensor is proposed. The robot's working environment is divided into three parts: the free area, the obstacle area and the unknown area. Kinect sensor is used to detect each area and determine the confidence level of the obstacles. Finally,...
With the combination of opposition learning and adaptive cross-generation differential evolution algorithm a new algorithm is proposed. Meanwhile the optimization model of rolling schedule is established. Power distribution, rolling energy consumption and the slip rate are selected as objective functions. Applying the opposition learning adaptive cross-generation differential evolution algorithm to...
With the rapid development of Web and the rapid expansion of text information, how to effectively organize and manage these information is a great challenge for the current information science. Text automatic classification technology can effectively organize a large number of texts and help people to improve the efficiency of information retrieval. It has become one of the most important research...
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