You Jun Yue

Research and Realization on Image Preprocessing Technology Based on Improved Median Filter

Aiming at the problem that traditional median filter algorithm cannot process collected images quickly and efficiently, this paper adopts improved median filter and makes use of advantages, such as fast running speed, parallel running of inner program, to design an image preprocessing system with high real time ability and high flexibility. At last, compared with MATLAB median filter simulation figure and multilevel median filter, it has shown that using FPGA to process and improve median filter can not only conduct median filter to images successfully, but also has the ability of fast operation speed and low energy consumption.

Research on the Anti-Collision Techniques of Radio Frequency Network of Pasture

To study the problem of the identification of multiple ear tags of cattle occur data collision in the RFID network of pasture, the experiment use an improved anti-collision algorithm, it is combined bit locking with dynamic and analysis method, only colliding bits are processed by the method of binary, during transmission the data are dynamic, only send known information, which receive complementary bits of the known information, and then analyze the performance of the algorithm and simulation. The results show that compare with traditional binary algorithm, the improved algorithm from the operating frequency, transmission delay, data throughput have obvious advantages, the improved algorithm that could solve the problem of data collision cause by the cattle those wear ear tags get into radio frequency region, improve the efficiency of the tag identification.

Flower Bud Detection Based on Saliency Map and SURF Feature-Points

The flower bud ratio is an important criteria and nodus in flower automatic grading realization, however using computer vision to detect flower bud still remains a challenge. This paper presents a flower bud detection model as a resolution: By using spectral residual method to calculate saliency map and using SURF feature-points, we can quickly and unambiguously obtain the SURF histogram, then construct the flower bud detection model with SVM. The experiments indicates that the flower bud detection model which provides an effective way for measuring bud ratio in flower automatic grading system can distinguish between bud and bloom with good results.

Coke Rate Prediction Model Based on Genetic Algorithm Optimized Support Vector Machine

The accurate prediction model’s establishing of the blast furnace coke rate is important for optimizing the integrated production indicators of iron and steel enterprise. For the problem of accuracy of the model of coke rate, This paper established blast coke rate modeling with support vector machine algorithm, the model parameters of support vector machine was optimized by genetic algorithm, then a coke rate model based on support vector machine with the best parameters was built. Simulation results showed that: the forecasting model’s outcome, average absolute error and the mean relative error, was small which is based on genetic algorithm optimized SVM. coke rate model based on Genetic algorithm optimized support vector machine has high degree of accuracy and a certain practicality.

Binarization Segmentation Based on Fuzzy Clustering Theory

Aiming at the problem of color image two value segmentation, present an improved two value plant image segmentation method based on fuzzy clustering theory. In the light of the problem that fuzzy clustering algorithm is difficult to segment the low SNR image, improve Membership function; Aiming at the problem that image pixel information is too large, mapping image information to the gray feature space, treat the same gray pixel as a whole, improve operation efficiency. The experimental results show that, the improved algorithm has stronger anti noise ability, higher segmentation accuracy, shorter operation time, has good prospects for engineering applications.

Implementation of the Optimized Localization Algorithm Based on RSSI for Cow Location

The movement reflects the health of dairy cows. In this paper, each cattle installs wireless sensor nodes in their neck to collect information about the position of the cows. In order to avoid the influence of the environment on network nodes ranging accuracy, at the same time improve positioning accuracy, this paper give Ranging optimization and positioning optimization, combines the RSSI ranging with APIT algorithm, and proposes APIT localization algorithm based on RSSI correction for real-time positioning ,the simulation shows that compared with traditional method, the improved algorithm has high positioning accuracy, low requirement for the distribution of beacon nodes.

Application of Hybrid Petri Net in Modeling of the Energy System in the Iron-Making Process

Energy model is an important part to research energy system of iron and steel enterprise and the basis of energy saving. Based on the analysis of iron steel enterprise production process, material and energy employed in the iron-making process were extracted. According to the hybrid characteristics of energy systems in iron and steel enterprises, the hybrid Petri net was used for modeling material and energy of the iron-making process. The MATLAB simulation with the stateflow toolbox based on hybrid Petri net was given. The model was proved that it was able to provide further support to energy conservation and control in the actual production.

Research on Filter of Photovoltaic Grid-Connected System

The paper mainly studies the filters used in grid-connected photovoltaic systems. The parameters of the current ripple are deduced by analyzing the generating mechanism of the ripples in grid-connected PV inverters, and then the filter is designed according to the system needs. A T-type filter is identified and its superiority and correctness are verified by simulation.

Grid-Connection Control of PV Power Generation in Micro-Grid

In the analysis of PV cells mathematical model based on the use of the admittance incremental method with constant voltage integrated maximum power point tracking (MPPT) method. In the micro-grid, PV power generation using the constant power (PQ) control, to achieve active and reactive power control. Matlab / Simulink simulation environment model of PV cells and an integrated method for maximum power point tracking, simulation results show that the synthesis method faster track to the maximum power point of the PV installations. Established PQ control model of micro-grid which based on the SVPWM, PV installations connected to the grid after the LCL filter, simulations show that the tracking of active and reactive power through the PQ control.

Simulation Research of Wind Power Rotate Speed Based on Cloud Model of Fuzzy Reasoning PID Control

When wind turbine works under rated wind speed, we often use fuzzy controller to control rotate speed and keep the best sharp blade speed to achieve the aim of capture the largest wind power. Due to the nonlinearity of wind power, the uncertainty of timely change and other factors, though fuzzy PID control is the combination of fuzzy control and PID control, which can solve the problem of nonlinear very well, it focuses only on the fuzziness, and fails to consider the random error brought by wind speed change. Therefore this paper designed fuzzy reasoning PID controller based on cloud model on the base of analyzing parameters of wind power and advantage as well as shortage of both PID control and fuzzy control. Then start the RT-LAB simulation platform. The simulation result proved that this method can effectively depress the overshoot. And its stability and dynamic speed response is better than PID control and fuzzy control. It achieved ideal result.