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Application of the Improved Grey Model in the Monthly Electricity Consumption Forecasting
Zhang Wenzhe,
Li Yangyang
Issue:
Volume 4, Issue 1, February 2016
Pages:
1-5
Received:
7 April 2016
Published:
8 April 2016
Abstract: The paper improves the prediction accuracy of the monthly electricity consumption of power system, a hybrid prediction model is put forward aiming at the problems existing in the traditional grey prediction method, which is based on the combined optimization model of particle swarm and K nearest value. Grey prediction equation is solved by particle swarm optimization algorithm, which is a good solution to the problem of the choice of parameters of gray prediction equation, with strong global optimization ability; A combinatorial optimization algorithm of the K- nearest value and particle swarm was proposed, which solves the problem of prediction error caused by large fluctuations of raw data, and improves the accuracy of prediction results. Through the prediction of monthly electricity consumption in the past years, the results show that the combination prediction method proposed in this paper can effectively predict the monthly electricity consumption, and is practical.
Abstract: The paper improves the prediction accuracy of the monthly electricity consumption of power system, a hybrid prediction model is put forward aiming at the problems existing in the traditional grey prediction method, which is based on the combined optimization model of particle swarm and K nearest value. Grey prediction equation is solved by particle...
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Build and Optimization of an Intelligent Decision Support System for UGVs Based on the Human-Robot Coordination
Li Jing,
Tang Zhenmin,
Tan Yefa,
Shi Zhaoxia,
Liu Jiayin
Issue:
Volume 4, Issue 1, February 2016
Pages:
6-11
Received:
7 April 2016
Published:
8 April 2016
Abstract: Unmanned systems of autonomy is a kind of perception, observation, analysis, communication, planning, decision-making and action ability, and complete human tasks assigned by the human-computer interaction it. Ground unmanned systems or in academic research field known as mobile robot autonomous land vehicle, known as the unmanned ground vehicles in the army. Based on variable independently, fault diagnosis, situation assessment, decision support, on the basis of analysis and research, building contains a variety of human-computer interaction in the form of unmanned ground vehicles, the intelligent decision support system by determining hierarchy of human-computer interaction, so as to achieve optimal human- robot collaborative, lay a certain foundation for the research of unmanned ground vehicle autonomy.
Abstract: Unmanned systems of autonomy is a kind of perception, observation, analysis, communication, planning, decision-making and action ability, and complete human tasks assigned by the human-computer interaction it. Ground unmanned systems or in academic research field known as mobile robot autonomous land vehicle, known as the unmanned ground vehicles i...
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Research on Autonomous Capability Evaluation of Unmanned Ground Vehicles
Li Jing,
Tang Zhenmin,
Tan Yefa,
Cai Yunfei,
Liu Jiayin
Issue:
Volume 4, Issue 1, February 2016
Pages:
12-20
Received:
7 April 2016
Published:
8 April 2016
Abstract: In this paper, according to the requirements of the theory of analytic hierarchy process (AHP), in order to demonstrate its autonomy should possess the ability of elements,the ability can be divided into the perception ability, planning ability, motion control ability, behavioral ability and learning ability evaluation of five aspects.Then all sapects are decomposed step by step down for 12 evaluation key elements and 38 evaluation factors. On this basis, the technical maturity is calculated with fuzzy membership degree matrix on the evaluation of the assignment of reference. The improved G1 sequence relations and fuzzy comprehensive evaluation method are used on the system of the unilateral and total autonomy ability to combine qualitative and quantitative evaluation, by setting the different task environment. What is more, trying to prove that in order to determine the level of autonomy, there should be autonomy ability of different vehicle verification, as well as autonomy value interval distribution.
Abstract: In this paper, according to the requirements of the theory of analytic hierarchy process (AHP), in order to demonstrate its autonomy should possess the ability of elements,the ability can be divided into the perception ability, planning ability, motion control ability, behavioral ability and learning ability evaluation of five aspects.Then all sape...
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Study on Big Data Development of Test and Evaluation of Weapon and Equipment
Ke Hongfa,
Zhu Jilu,
Du Hongmei
Issue:
Volume 4, Issue 1, February 2016
Pages:
21-25
Received:
7 April 2016
Published:
8 April 2016
Abstract: The big data development problem of test and evaluation of weapon and equipment is studied. Firstly, the concept of big data and research status in the military domain are summarized. And the concept of big data of test and evaluation of weapon and equipment is given. Secondly, the development demands and status of big data of test and evaluation of weapon and equipment are analyzed. Then, the development contents of big data of test and evaluation of weapon and equipment, such as data collection, big data calculation, data mining, and et al, are introduced. Finally, the key development problems of big data of test and evaluation of weapon and equipment, such as theory system, technique system, operation system, and et al, are proposed emphasisly.
Abstract: The big data development problem of test and evaluation of weapon and equipment is studied. Firstly, the concept of big data and research status in the military domain are summarized. And the concept of big data of test and evaluation of weapon and equipment is given. Secondly, the development demands and status of big data of test and evaluation o...
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Strong Scatterers Integrator Based on ADT in Non-Gaussian Clutter
Gu Xinfeng,
Hao Xiaolin,
Yang Ganlin,
Li Xinxing
Issue:
Volume 4, Issue 1, February 2016
Pages:
26-30
Received:
15 April 2016
Published:
16 April 2016
Abstract: This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively estimate the number of target scatterers according to the observations, which can improve detection performance and robustness of detector effectively.
Abstract: This paper addresses range-spread target detection in compound Gaussion clutter modeled as spherically invariant random vector clutter (SIRV). A Strong scatterers integrator based on Anderson-Darling test (ADT-SSI) is addressed for the problem that MSDD has detection loss when falsely estimating the number of scatterers. For ADT-SSI, adaptively est...
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Optimum Scatterer Estimation and Adaptive Detection of Sparse Range-spread Target
Gu Xinfeng,
Hao Xiaolin,
Xu Rong,
Huang Kun
Issue:
Volume 4, Issue 1, February 2016
Pages:
31-38
Received:
15 April 2016
Published:
16 April 2016
Abstract: This paper addresses sparse range-spread target detection in non-Gaussian clutter model as spherically invariant random vector. An optimum scatterers integrator (OSI) is proposed for the problem that it is hard to accurately estimate the number of scatters of the spare range-spread target. The OSI is obtained by integrating the energy of strong scatterers estimated based on the method of maximum detection probability. Moreover, the covariance matrix structure is estimated based on the clutter-cluster estimation and the technology of recursive estimation. An adaptive OSI (AOSI) is obtained by replacing the covariance matrix structure with the estimated one. The AOSI has the Constant false alarm ratio (CFAR) property with respect to the covariance matrix structure and the texture component of the clutter. Finally, the simulation results show the validity of proposed methods.
Abstract: This paper addresses sparse range-spread target detection in non-Gaussian clutter model as spherically invariant random vector. An optimum scatterers integrator (OSI) is proposed for the problem that it is hard to accurately estimate the number of scatters of the spare range-spread target. The OSI is obtained by integrating the energy of strong sca...
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Research on the Application of Improved Fuzzy-PI Control in STATCOM
Zhao Zhenxing,
Liu Fugui,
Wang Yangang
Issue:
Volume 4, Issue 1, February 2016
Pages:
39-44
Received:
17 April 2016
Published:
18 April 2016
Abstract: According to some shortcomings that Fuzzy PI Control strategy can not meet certain occasions where higher control accuracy is required, the improved Fuzzy-PI control is applied to the static synchronous compensator (STATCOM). Simulating and analyzing the compensation effects of Fuzzy-PI control strategy, improving the membership function of the Fuzzy-PI control strategy, and testing the compensation performances of the improved Fuzzy-PI control with the MATLAB/SIMULINK simulation experiments. The simulation and experimental results show that the improved Fuzzy-PI control can improve the control precision, and can meet the requirements of power system for reactive power compensation better.
Abstract: According to some shortcomings that Fuzzy PI Control strategy can not meet certain occasions where higher control accuracy is required, the improved Fuzzy-PI control is applied to the static synchronous compensator (STATCOM). Simulating and analyzing the compensation effects of Fuzzy-PI control strategy, improving the membership function of the Fuz...
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Fast Many-Lights Rendering with Temporal Shadow Maps
Boning Zhang,
Nian Li,
Lili Wang
Issue:
Volume 4, Issue 1, February 2016
Pages:
45-51
Received:
17 April 2016
Published:
18 April 2016
Abstract: We present an effcient method for computing shadows of many light sources (e.g. 1,024). Our work is based on the observation that conventional shadow mapping becomes redundant as the number of lights increases. First, we sample the scene with a constant number of depth images (e.g. 10), which we call temporal shadow maps. Then the shadow map for each light is approximated through rendering triangles reconstructed from all the temporal shadow maps. The cost of rendering the triangles reconstructed from the temporal shadow maps is much smaller than rendering the entire scene when the geometry is complex. The algorithm supports fully dynamic scenes. The experiment results show that our method can produce comparable soft shadows with much higher speed than ray tracing and shadow mapping methods.
Abstract: We present an effcient method for computing shadows of many light sources (e.g. 1,024). Our work is based on the observation that conventional shadow mapping becomes redundant as the number of lights increases. First, we sample the scene with a constant number of depth images (e.g. 10), which we call temporal shadow maps. Then the shadow map for ea...
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Simulated Annealing Algorithm Based on Gauss Distribution
Sang Jie,
Zhan Hu,
Song Chun-lin
Issue:
Volume 4, Issue 1, February 2016
Pages:
52-55
Received:
17 April 2016
Published:
18 April 2016
Abstract: This paper first describes in a brief manner the principle, the building blocks and the realization of the classical simulated annealing (SA) algorithm. Its weakness is also discussed and an enhanced SA algorithm is then proposed. The new algorithm tackles the global optimization and the local optimization processes separately. With an enhanced non-uniform mutation method, the global search range is expanded, which also leads to an improved local optimal solution. Finally, this paper uses a real-world optimization problem to contrast the conventional and the enhanced SA algorithms, and demonstrates the superiority of the newly proposed technique.
Abstract: This paper first describes in a brief manner the principle, the building blocks and the realization of the classical simulated annealing (SA) algorithm. Its weakness is also discussed and an enhanced SA algorithm is then proposed. The new algorithm tackles the global optimization and the local optimization processes separately. With an enhanced non...
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Study on the Causes of the Failure of the Insulation Resistance of Molded Inductors with Soft Magnetic Materials
Guo Feng,
Li wei-jian,
Yan liang-ming
Issue:
Volume 4, Issue 1, February 2016
Pages:
56-60
Received:
22 April 2016
Published:
4 May 2016
Abstract: In this paper, the cause of the insulation resistance of molded inductor in low temperature baking is discussed, and the method to improve the insulation resistance is found. It was found that the surface bonding force between the metal soft magnetic powder and the coating layer increased first and then decreased with the increase of temperature, and the coating layer was brittle with the increase of temperature. The results show that the change of the volume change of the coating layer and the change of the surface binding force between the coating layer material in the curing process, and the higher the degree of curing the coating layer is brittle, and the interaction between the two and the coating layer can produce the peeling or even fall off.
Abstract: In this paper, the cause of the insulation resistance of molded inductor in low temperature baking is discussed, and the method to improve the insulation resistance is found. It was found that the surface bonding force between the metal soft magnetic powder and the coating layer increased first and then decreased with the increase of temperature, a...
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