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Research on Grain Yield Prediction Method Based on Improved PSO-BP
Liguo Zhang;
Jiangtao Liu;
Lifu Zhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7404-7411
Aimed at the highly nonlinear and uncertainty of grain yield changes, a new method for grain yield prediction based on improved PSO-BP is proposed. By introducing mutation operation and adaptive adjust of inertia weight, the problem of easy to fall into local optimum, premature, low precision and low later iteration efficiency of PSO are solved. By using the improved PSO to optimize BP neural network’s parameters, the learning rate and optimization capability of conventional BP are effectively improved. The simulation results of grain production prediction show that the predict accuracy of the new method is significantly higher than that of conventional BP neural network method, and the method is effective and feasible.
Two Distance Formulae For The Two Vague Sets
Zhang Kun;
Wang Hong-xu;
Wang Faifeng;
Li Zhuang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7533-7542
It needs to calculate the distance between the vague sets based on the approximate reasoning on the clustering rules of vague set. In this study, two new distance formulae for vague sets are presented, which are proved to satisfy the known axioms. With a suitable distance formula, a more reasonable clustering of Vague set rule can be obtained. Therefore, the searching scope of vague reasoning is decreased, and the reasoning complexity is reduced in the approximate reasoning of Vague set rules.
Main Pump Seal’s Characteristics Affected by Cone Angle and Clearance
Wang Heshun;
Zhu Weibing;
Huang Zepei;
Zhang Chening
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7233-7241
Aimed at the face film characteristics of Main Pump Seal (MPS), related theoretical calculation formulas were deduced based on the Reynolds equation. A case with a certain NPPS is carried out, it is take the leakage as the basic constraint conditions, the calculation focusing on leakage, stiffness and opening force, the end cone angle and clearance change been the main changed parameters. The results show that: (1) Leakage is direct ratio with clearance of three powers;(2) Overall amount of leakage increases with the end cone angle synchronously, and in the smaller cone angle changes significantly while larger slightly; (3) film stiffness increased with clearance (cone angle) first and then decreased, and the maximum value is obtained in a certain clearance (cone angle). Finally, the preferred clearance is preferably in the range of 6~7µm, and the cone angle preferably value is 0.4~2.5'. It is provide a reliable theoretical support for MPS design and key parameter optimization, and conducive to any research related to experiment and application.
Combine Multi-predictor ofGas Concentration Prediction Based on Wavelet Transforms
Wu Xiang;
Qian Jian-Sheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7361-7368
A method of combine multi-predictoris proposed based on wavelet transform to improve the prediction precision of coal mine gas concentration time series. Firstly, the proposed model employ Mallat algorithm to decompose and reconstruct the gas concentration time series to isolate the low-frequency and high-frequency information. Then, ARMA model is built forthe prediction of high-frequency information and rectifies deviations of the predicted values by Markov bias correction method while the SVM model is used to fitthe prediction of the low-frequency information. At last, these predicted values are superimposedto obtain the predicted values of the original sequence. This method makes an effective separation of the feature information of gas concentration time series and takes full advantage of the features of different prediction models to achieve complementary advantages. The comparison experiment with the single-predictor models(BP, SVM) and single-predictor models based on wavelet decomposition(W-BP, W-SVM)show that the proposed method improves the overall predictionprecision.The results show that method has high precision and strong practicability.
Optimization of Routing Protocol in Wireless Sensor Networks by Improved Ant Colony and Particle Swarm Algorithm
Tianshun Huang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7486-7494
This paper mainly discusses the analysis and evaluation of routing protocols for Wireless Sensor Networks. Particle swarm algorithm has been proven to be very good solve many global optimization problems. Ant colony algorithm not only uses the positive feedback principle, the evolution process of speeding up to a certain extent, but also can be implemented in parallel in nature and different individuals through continuous information exchange and transmission. The paper presents optimization of routing protocol in wireless sensor networks based on improved ant colony and particle swarm algorithm. Finally, simulation results verify the effectiveness of the improved algorithm, and improve the search for optimal routing.
ANSYS Simulation Analysis of Stray Currents on Subway Shield Tunnel
Guo Wang;
Xiaoxiang Pei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7099-7107
In order to analyze the distribution rule and influence range of subway shield tunnel in different traction currents, a three-dimensional geometrical model and mathematical model of subway shield tunnel stray current field were built, and a finite element model was developed by Ansys. Simulating for homogeneous and stratified soil media were happened in the metro stray current field simulation, through different carry-currents of railway. Simulation show that the potential attenuation is nonlinear from the subway tunnel to the surrounding underground and along far away rail loading current of direction; The carry-current is different, the potential of surrounding media is different, and the greater the current, the greater the maximum potential. Each points stray current in situation of surrounding soil media subway tunnel shield can be analyzed by the three-dimensional finite element model, and provide the basis for the protection range of stray current and the protection at a specific location.
Research on Multichannel Test Device of Missile Fuze
Guoyong Zhen;
Yanhu Shan;
Yiran Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7196-7201
This paper introduces the design of multichannel acquisition circuit based on FPGA which samples and records the Doppler signals, ignition signal and the working condition of fuze security enforcement agencies of missile fuze in real-time in the test of high speed dynamic intersection. Furthermore, for the problem of increasing number of sample channel which causes the complexity of the multiplexer control, a general programmable channel switching method is proposed based on FPGA. In the method, FPGA is the control core, and using the internal ROM resource effectively simplifies the complexity of channel switch in the multichannel acquisition system. This paper analyzes the acquisition system design, and describes the design of hardware circuit and analog switch address coding in detail. The test result shows that the acquisition circuit meets the design requirements with high sampling precision and application value.
Intelligent Linear Collaborative Beamforming for Multi-objective Radiation Beampattern in Wireless Sensor Networks
N.N.N.A. Malik;
M. Esa;
S.K.S. Yusof;
N.M.A. Latiff
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7318-7329
Collaborative beamforming (CB) in wireless sensor networks (WSNs) promises improvement of communication performance and energy efficiency. The random distribution sensor nodes location within WSNs can introduce random beampattern mostly in the sidelobe region. In addition, higher energy consumption can occur as the randomness permits the generation of high peaks in radiation beampattern performance. Therefore, selecting a suitable spatial sensor node distribution is a challenge especially for WSNs. Collaborative sensor nodes in random deployment which performs as linear antenna array (LAA) can influence the radiation beampattern. However, it leads to the degradation of LAA and WSNs performances. Hence, an optimum algorithm for implementing CB method should be designed that takes into consideration not only the beampattern performance, but also the geometrical location of selected active nodes which cooperatively form an array antenna. In this article, a new algorithm known as intelligent linear sensor node array (ILSA) is presented. It is developed through the application of the proposed hybrid least square improved particle swarm optimization (HLPSO) algorithm. The newly proposed ILSA is constructed by means of collaborative nodes selection. The size of side lobe level (SLL) can vary significantly with desired multi-objectives. Simulation results obtained showed significant improved performance of the radiation beampattern. Thus, this motivates for exploiting the newly-developed optimum method in node geometrical location strategies of WSNs.
The Research of DV-HOP Positioning Algorithm Based on RSSI Calibration
Jie Cao;
Mu Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7452-7458
Because of the DV-HOP algorithm in wireless sensor network (WSN), the first jump range error, which affect the positioning error of the whole node network problems. This paper puts forward an improved algorithm is proposed. The algorithm is mainly using the RSSI ranging technology, in the process of DV-HOP first jump range through correction of RSSI ranging technology, to reduce the distance measuring error, in order to improve positioning accuracy. The simulation results show that compared with traditional DV - HOP algorithm. The improved algorithm can without additional hardware and computation under the premise of improving positioning accuracy.
Necessary Conditions of the Wave Packet Frames with Several Generators
Tao Zhao;
Xiaoyu Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i10.pp7059-7069
The main goal of this paper is to consider the necessary conditions of wave packet systems to be frames in higher dimensions. The necessary conditions of wave packet frames in higher dimensions with several generators are established, which include the corresponding results of wavelet analysis and Gabor theory as the special cases. The existing results are generalized to the case of several generators and general lattices.