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Diao Z.,Zhengzhou University of Light Industry | Diao Z.,Henan Key Laboratory of Information Based Electrical Appliances | Wu B.,Zhengzhou University of Light Industry | Wu B.,Henan Key Laboratory of Information Based Electrical Appliances | And 6 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2015

To overcome the shortages of the existing methods for skeleton lines detection such as low adaptability and meet the needs of recognition for navigation path in modern precision spraying technology system, a new algorithm of skeleton lines detection was proposed based on maximum square principle in this paper. In the first part, pretreatment operation was applied to process the corn crop rows image. Firstly, the improved super green gray transformation algorithm (1.68G-R-B) was used to transfer the corn crop rows color image into gray-scale image and the corn crop rows was separated from the background for the first time. Compared with the traditional gray-scale methods, the improved algorithm in this article not only distinguished the crop rows and background better but also greatly reduced the noise interference and the processing time. Secondly, in order to split the crop rows more clearly, the middle filter operation was used to eliminate background noise. Thirdly, threshold segmentation method was used to convert gray-scale image into a binary image so to prominent the crop rows area further and extinction the background area, and the crop rows and the background were completely separated by the threshold segmentation. In the second part, the corrosion and expansion operation of morphological algorithm were used to process the above binary image. The 3× 3 template element of corrosion was selected to eliminate the background noise that was smaller than the area of crop rows after binarization. The 5×1 template elements of expansion were selected to connect the discontinuous area goodly. In order to get the best contour of the corn crop rows, the times of corrosion and expansion operation was determined by experiment. In the third part, the skeleton of corn crop rows was extracted by maximum square principle that was put forward by this paper. Firstly, the region of crop rows was divided base on symmetry. Secondly, the number of pixels that the value was one in the maximum square of the undetermined skeleton points in each region was written. Finally, comparison of the numbers in each row and the undetermined skeleton points was made so that the one with the most value was selected as target skeleton points. In order to evaluate the advantage of the algorithm, maximum square frame extraction algorithm was compared respectively with morphological skeleton extraction and maximum disk skeleton extraction algorithm which is used extensively by researchers. At the same time, the skeleton line of central crop rows were extracted and linear fitting operation was carried out to verify the accuracy of the algorithm. The random Hough transform was used to get the navigation line because of its advantage. The deviation between the center line of crop rows were fitted and actual navigation line was used to determine the accuracy of skeleton extraction. Image of other crop rows was used to prove the adaptability of the algorithm. Experimental results showed that the new algorithm could not only maintain a single pixel and has strong anti-interference ability of edge noise but also extract the skeleton lines more accurately. In addition, it also could be adapted for the skeleton extraction of other crops as well. And the error of skeleton was less than 5 mm and can satisfy the demand of precision spraying. © 2015, Chinese Society of Agricultural Engineering. All right reserved.


Cui G.-Z.,Zhengzhou University of Light Industry | Cui G.-Z.,Henan Key Laboratory of Information Based Electrical Appliances | Li X.-G.,Zhengzhou University of Light Industry | Zhang X.-C.,Zhengzhou University of Light Industry | And 4 more authors.
Jisuanji Xuebao/Chinese Journal of Computers | Year: 2010

The design of DNA sequence is important in improving the reliability of DNA computing. Some appropriate constrained terms that DNA sequence should satisfy are selected, and then the evaluation formulas of each DNA individual corresponding to the selected constrained terms are proposed. Modified Particle Swarm Optimization/Genetic Algorithm(MPSO/GA) is presented to solve the multi-objective optimization problem. At last the comparison of the results with the known DNA sequences in fitness function value is made to prove the feasibility and efficiency of the method.


Zhang X.,Zhengzhou University of Light Industry | Zhang X.,Henan Key Laboratory of Information Based Electrical Appliances | Niu Y.,Zhengzhou University of Light Industry | Cui G.,Zhengzhou University of Light Industry | And 3 more authors.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | Year: 2010

Invasive weed optimization, which is inspired from the invasive habits of growth of weeds in nature, is a population-based intelligence algorithm. In this paper, we present invasive weed optimization with crossover operation combining the idea of the invasive weed with concepts from evolutionary algorithms. By applying the crossover operation in invasive weed optimization, it not only discourages premature convergence to local optimum but also explores and exploits the promising regions in the search space effectively. This modified algorithm is tested and compared with the standard invasive weed optimization and PSO. The comparative experiments have been conducted on benchmark test functions; invasive weed optimization with crossover operation is able to obtain the result superior to the standard invasive weed optimization and PSO. © 2010 IEEE.


Diao Z.,Zhengzhou University of Light Industry | Diao Z.,Henan Key Laboratory of Information Based Electrical Appliances | Zhao M.,Zhengzhou University of Light Industry | Zhao M.,Henan Key Laboratory of Information Based Electrical Appliances | And 10 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2015

The identifying of a center line in a crop and the realization of an automatic alignment of a spraying nozzle is the key technology in a precision pesticide. Machine vision has great advantage in path automatic identification, and has been widely used in the study of modern precision agriculture. To overcome the low adaptability in a navigation line extraction algorithm, we used middle growing corn as the goal of the research and got an algorithm with a higher adaptability. In this paper, the image background segmentation was the first part. In this part, the comparison of a traditional gray transformation and an improved one was realized, and showed the effect of the traditional method and an improved method, the results showed that the improved algorithm had certain advantages in the processing of such images, so we used the improved gray-scale transformation as the first step of segmentation. Then the improved middle filter algorithm was used to filter the noise in an image which has been changed in the method of obtaining the middle value to reduce the processing time. Then the image was binarized by an OTSU algorithm instead of the threshold method, which processed automatically with little interference and made the crop row black, and the background white, so to achieve the image background segmentation. Crop line extraction was the second part. The purpose was to use the line to indicate the crop rows, so we used the following method to extract a line in a binary image as far as possible to represent the crop rows and the central position of the image. We used a morphological algorithm to remove the noise, and the 3×3 template of erosion and dilation to operate on the two value image, and determined the number of erosion and dilation by experiment, and then the thinning algorithm and scanning filtration was adopted to keep the middle of the crop rows only, in order to represent navigation information and reduce the computation in line recognition. The third part was deviation calculation. We fit out the navigation line, and got the navigation information by a randomized Hough transform that determined a point in the parameter space by any two points in an image space and transformed the dispersed mapping of one to many to merge the mapping of many to one, which reduced the amount of computation effectively and improved the velocity of calculation. According to the transformation between the world coordinate system and the image coordinate system and the deviation distance between bottom center of crop rows, the pixel center of the image and the spray nozzle position relative to the information of camera, we could get the actual deviation in this image. Finally, we realized the hardware structures and composition of this system. And the experimental results suggested that this algorithm had better generality, and it had a certain advantage in background segmentation, crop line, and navigate information extraction. We have proved that the algorithm can effectively avoid the effects of weeds by the experiment of different images and process, and it can adapt to the line extraction of different crops. ©, 2015, Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering. All right reserved.


Zhang X.,Zhengzhou University of Light Industry | Zhang W.,Zhengzhou University of Light Industry | Zhao T.,Zhengzhou University of Light Industry | Wang Y.,Zhengzhou University of Light Industry | And 3 more authors.
Journal of Computational and Theoretical Nanoscience | Year: 2015

The toehold and branch migration domains of traditional DNA strand displacement are covalently connected, which cannot be changed during the execution of the circuit. So to some extent it limits the construction of DNA circuits. Using combinatorial displacement of DNA strands technology wherein toehold and branch migration domains are located in different strands, this problem will be solved. Once these two domains have been linked together by hybridization of the linking domains, it is prepared for DNA strand displacement reaction. Three logic circuits (3-input logic gate, "Inhibit" gate and "XOR") are designed in this paper based on the combinatorial displacement of DNA strands which is theoretically possible. Copyright © 2015 American Scientific Publishers.


Li C.,Henan Key Laboratory of Information Based Electrical Appliances | Cao L.,Henan Key Laboratory of Information Based Electrical Appliances | Zhang A.,Henan Key Laboratory of Information Based Electrical Appliances
Proceedings of the 29th Chinese Control Conference, CCC'10 | Year: 2010

The elevator is a kind of complex system with time-varying and strong-coupling characteristics. For elevator systems, with use of traditional PID algorithm, as there are disadvantages of difficult optimal parameters selection, weak steady-state behavior, etc., it is difficult to achieve satisfactory control effect. Therefore, this article discusses the theory of using RBF neural network to identify control object, providing received Jacobian message to BP network, then using arbitrary nonlinear expression ability of BP neural network to achieve the optimum combination of PID control parameters through studying the system, and finally reaching the goal of speedy and stable control. Meanwhile, simulation comparison is made to traditional PID controller on MATLAB and Simulink, and the result shows that the PID controller based on neural networks is faster in response and better in follow nature than the traditional PID controller is.


Cao L.,Henan Key Laboratory of Information based Electrical Appliances | Li X.,Henan Key Laboratory of Information based Electrical Appliances | Lou F.,Henan Key Laboratory of Information based Electrical Appliances | Li C.,Henan Key Laboratory of Information based Electrical Appliances | Zhang C.,Henan Key Laboratory of Information based Electrical Appliances
2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010 | Year: 2010

Aiming at the inaccurate problem of crane speed control under the interference condition , by employing non-singular terminal sliding mode control strategy the speed controller is designed based on the foundation of hoist system mathematics model of the crane.The simulation results in Matlab/Simulink environment show that the relative coupling control system has better dynamic performance, better stability behavior and stronger robustness. ©2010 IEEE.

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