Application of improved Kalman filter algorithm for the signal processing of electronic nose

To reduce the noise signal in the sampled data of the Electronic nose(e nose), an improved adaptive method based on Kalman filtering algorithm is presented, which can adaptively adjust measurement error variance, while de noise the Non Gaussian noise in an e nose output. A Kalman filtering model for measurement data processing is introduced based on the signal characteristics in the e nose measurement processing. The improved adaptive filtering method is discussed in detail and applied to e nose signal processing. The results demonstrate that the proposed method can adaptively reduce the noise signal in the enose measurement data processing and improve the sensitivity of e nose measurement.     

遗传算法的DV-Hop算法改进

DV-Hop算法中,平均每跳距离是影响定位精度的因素之一。针对平均每跳距离带来的定位误差,对锚节点和未知节点的平均每跳距离进行了改进和优化。首先引入遗传算法计算锚节点的平均每跳距离;然后利用跳数小于等于3的锚节点的平均每跳距离加权处理未知节点的平均每跳距离,减少平均每跳距离带来的误差。仿真结果表明,在不增加硬件开销的基础上,改进算法能够有效提高算法的定位精度,并且具有较好的稳定性。     

An improved HEED clustering algorithm for Wireless Sensor Network

In wireless sensor network, routing protocols which based on clustering have the advantages of energy consumption, topology management and data fusion. The HEED protocol, which generates cluster heads based on distributed algorithm, drives up the rate of clustering and creates well distributed cluster heads. However, it does not consider the mobility of nodes in the network. When the distance between neighbor nodes has changed, the AMRP method which decides the node belongs to different cluster heads would cause problems such as high energy consumption, short lifetime of network and so on. Responding to these problems, the paper proposes the S HEED, a clustering algorithm based on stability, which chooses the stability as a parameter of nodes when choosing a cluster head. With S HEED algorithm, the high energy consumption problem among cluster nodes and cluster heads caused by the mobility is tackled. The simulation experiment demonstrates that the S HEED algorithm lower the energy consumption of cluster heads and prolongs the network lifetime.     

An improved morphological edge detection algorithm of medical image

Medical images usually contain much noise which affects the edge detection accuracy. Focusing on this problem, based on the edge detection operator in mathematical morphology, an improved edge detection algorithm is presented by combining the features of the multi structure elements and the multi scale edge detection algorithm. The algorithm performs opening and closing operations on the data with the alternative sequence filters and the structure elements. The weighting operation is applied with different weight coefficients for horizontal, vertical and diagonal directions, while the edge detection operator with dilation type is calculated to obtain the improved edge detection algorithm. The steps of the algorithm are described. The algorithm is used to extract the edge of MRI image as well as the image of Lena. The experimental results indicate the algorithm can considerably improve the edge resolution of the traditional morphological edge detection methods and is practical.     

An improved localization algorithm based on RSSI for landslide monitoring

In order to overcome the existing problems of low automation, high cost and difficult to implement in the area of landslide monitoring, this paper presents a new method of RSSI (Received Signal Strength Indicator)based positioning technology without any one-off instruments to monitor landslide surface displacement. By adding weighted factors, the improved positioning algorithm can estimate the parameters of the path loss model dynamically and calculates the communication distance of network nodes in real-time, which can improve positioning precision and reduce the impact of environmental changes on it. The MATLAB experiments show that, compared with the traditional RSSI based localization algorithm using fixed pass loss model, the improved algorithm could significantly reduce the average error.     

An application based on container programming and genetic algorithm

With the rapid growth of curriculums in colleges and universities and the number of students,automatic course arrangement method based on calculation algorithm has become an important issue of algorithm design and research. Based on Genetic Algorithm, a new binary encoding mechanism and classroom position filling method is put forward, which is applied to improve the load and efficiency of course scheduling system. In accordance with the ratio of weights in Fitness Function, this method abandons the way of random search, directionally and randomly generates chromosomes, simplifies the quantity of chromosome information, greatly shortens the running time of the system. In the aspect of management mechanism, user intervention is introduced,dealing with initial population with high proficiency and eliminating conflicts. Data from simulation experiment proves the astringency and high efficiency of this method. Moreover, the whole design of the system applies programming technology based on container, realizing the convenient processing of uncertain data.     

自平衡式水平振动输送机及其在种子加工上的应用

自平衡式水平振动输送机采用双体式反向配置驱振结构，具有自平衡性好、噪音小、成本低、工艺流程配置灵活等特点。国内教条种子加工生产线应用表明，该机震动小、物料输送通畅，取得显著效果。     

无线传感器网络中一种改进的DV-Hop定位算法

针对DV-Hop算法在无线传感器网络节点分布不均匀时定位误差比较大的问题,提出了一种针对DV-Hop的改进定位算法。该改进算法主要是利用RSSI测量技术增加锚节点;在给定约束下引入“可能存在区域”这一概念,并以该可能存在区域的面积作为目标函数,对未知节点的位置利用非线性共轭梯度法进行逼近,从而使节点定位误差达到最小。通过仿真验证了节点通信半径和锚节点比例对定位误差的影响,结果表明,该改进算法将节点定位精度提高了5%~10%。     

Improved Sage-Husa algorithm and its application in industrial online measurement

An improved Sage-Husa adaptive filter algorithm is proposed based on the existing methodologies in light of the complex and changing environment of the industrial online measurement. This algorithm,after a new observed value is obtained,first judges whether the filter is in a normal state by the filtering divergence criterion,if not,it judges whether the new observed value is an outlier and takes countermeasures varying with the judgment so as to improve the performance of the Sage-Husa algorithm in industrial measurement. The result indicates that compared with traditional methodologies,this new algorithm is applicable to measure the location of the center point of laser beam in a simulated industrial environment,makes accurate judgment about the system status,features better precision,practicality and robustness and thus can satisfy the requirements of industrial online measurement.     

The improved geometrical constraint model of open-pit mine boundary optimum and its application

This paper develops the improved geometric constraint model (IGCM) based on the 3D block model. The variable-slope excavation cones of each block have been abstracted to collections of nodes and directed edges, and the optimization method has been introduced using the set theory. The IGCM consists of the optimized collection nodes and directed edges. The algorithm based on IGCM has been actualized in DIMINE digital mine system, and is applied to an actual open pit mine boundary optimization engineering. The results shows that IGCM can accurately simulate variable slope angles in any azimuth and elevation changes, and adapt to all open pit mine boundary optimum problems in any complex geological conditions, calculation speed and accurate. It provides a new and effective method for the variable-slope open pit mine boundary optimization problem in complex geological conditions.     

An algorithm of image processing based on discrete wavelet transform compression and chaotic scrambling

An algorithm was proposed in view of the combination of image compression and encryption. We got the approximate part and three detail parts after transforming the image with discrete wavelet transform (DWT), and compressed the image by modifying the detail parts by a given threshold value based on human visual systems. And then, we encrypted the image by scrambling the approximate part because this part held mostly of the energy. Last, a compressed and encrypted image can be achieved after DWT. Simulation result shows a good effect on the combination of compression and encryption.     

Application of improved genetic algorithm to locating and sizing of distributed generation

A Prüfer-coded genetic algorithm based on the decimal number of nodes is proposed and it is used to solve collaborative optimization planning of access solution of distributed generation(DG)and structure of distribution network.Using graph theory to generate theoretically feasible topology structureand the access nodes and the installed capacity of distributed generation are coded by the Prüfer number.The coding method makes the distribution network operation structure and the access solution of DG combine into the evolution problem of the same chromosomal gene.The length of the chromosome coding of this method is shorter than binary encoding.This solution takes full advantage of the Prüfer-coded to improve computational efficiency and convergence rateand makes some restrictions and improvements in some key parts of the algorithm to solve the problem illegal solution.Finallyfeasibility and superiority of the algorithm is validated by a case study.     

Adaptive clonal competition algorithm and its application in automatic electroplating production line scheduling

Aiming at small batch and multi-type electroplating production scheduling system with flexible process, an adaptive clonal competition algorithm(ACCA）is proposed. The capability of searching the global optimal value and the local optimal value of the new algorithm can be adjusted through the function between the cloning and mutation probability and the number of iterations. Besides, the population diversity of the adaptive clonal competition algorithm can be ensured through the competition mechanism, the elite migration mechanism and the raising new members mechanism. Compared with traditional clonal selection algorithm, adaptive clonal competition algorithm has higher searching ability and faster convergence speed.     

玉米自交系新01A3及其改良系的选育及应用

玉米种质资源的改良和创新是选育优良玉米杂交种的关键。根据黄淮海地区杂种优势模式,选育和改良唐四平头类自交系,对黄淮海玉米杂交种的选育至关重要。通过研究玉米自交系新01A3及其改良系的选育过程,进而探讨了新01A3及其改良系作为亲本组配出的杂交种在生产上的应用。     

The application of image processing technology to microfluidic chip fluid motion detection

A method to detect the fluid motion in microfluidic chip with imagery processing technology is introduced,which solves the problem that the fluid motion can’t be detected with common method. Firstly,with the fact that in flow process the brightness change is the biggest in the edge of tiny tube,the motion trail can be collected with frame difference method. Then this destination area is cropped to further reduce the amount of calculation in later steps. Secondly,repeat several times of open operation and close operation to obtain the images,which has smooth boundary and barely background noise. Thirdly,find all edge pixels of this motion trail image through boundary tracking algorithm and then obtain the motion trail lines with the Hough transform detection approach. At last,with the lines’ length and the motion time,the flow rate can be calculated easily. Furthermore,some characteristics of the flow can also be obtained,such as the shear stress and the viscosity of the fluid. This paper explicitly states this method process combining with a chip that use for viscosity measurement. And the results have high accuracy and good repeatability,which is demonstrated by the data that standard deviation is less than 0.7 and the precision is less than 1/100.     

Petri网逆网在主轴故障诊断中的应用

比较了成熟期27个梨品种的果胶含量、半乳糖醛酸含量、果肉硬度和可溶性固形物含量,并分析果胶含量与果实品质特性的相关性。结果表明,不同梨品种间的果肉硬度、可溶性固形物、果胶、半乳糖醛酸含量4个指标的差异性都达到极显著水平(P0.01),果肉硬度均值为2.76 kg·cm-2,F值为47.03;半乳糖醛酸含量为0.64%~1.73%,F值为89.24,品种间差异最大;可溶性固形物含量为9.41%~15.19%,F值为17.66,品种间差异最小;果胶含量为0.23%~1.02%,与可溶性固形物和半乳糖醛酸含量呈极显著正相关(P0.01),Pearson相关系数分别为0.618和0.680。     

Optimum plot size determination and its application to cucumber yield trials

Summary Methods of estimating Smith's b and, thereby, optimum plot size are compared from a theoretical viewpoint. For estimating b, generalized least squares is recommended over Smith's (1938) original method and other methods because the points used to fit the required regression are correlated and have unequal variances.Optimum plot size for once-over-harvest trials measuring yield (as number of fruits per plot) of pickling and frest-market cucumbers (Cucumis sativus L.) was estimated to be 0.7 to 3.8 m² (0.5 to 2.5 m of row for rows 1.5 m apart) for conventional harvesting, and 1.0 to 5.6 m² (0.7 to 3.7 m of row) for simulated harvesting using paraquat to defoliate plots before evaluation. Estimates of optimum plot size were calculated from a number of uniformity trials differing in year (1982 or 1983), planting date (early or late), and field. The estimates were sufficiently stable to suggest that they have useful generality.For multiple-harvest yield trials, optimum plot sizes for determining yield of pickling (expressed in $/ha or q/ha) or fresh-market cucumbers (i.e. USDA Fancy and No. 1 grade fruit combined or USDA Fancy, No. 1, and No. 2 grade fruit combined, in q/ha) were estimated from experimental data to be 6.4 to 10.3 m² (4.3 to 6.8 m of row).     

Study on dynamic assessment model and its application to tunnel health

This paper uses normalized elements in the sample database to avoid the influence of index type and dimension. Basing on the index system and grade standard of tunnel health safety assessment, it puts forward the relative difference function of variable fuzzy set by the method of set pair analysis and confirming reasonable the relative membership function of the related health indexes in every level and its level standard interval, and develops the assessment model of tunnel health after confirming the relative indexes right by multiplication scale method. Once confirming the eigenvalue of health levels, some samples are given to verify the scientificity and rationality of the method in, the results show that the calculation process is visual, simple, strong currency, result is reasonable and precision is high. The model can be used for various system assessment problems and it’s propitious to promote the more use of variable fuzzy sets in the field of civil engineering.     

AFLP分子标记在茄果类蔬菜遗传育种中的应用

AFLP技术是近十年来新发展起来的最有效的分子标记技术,将其应用于茄果类蔬菜中进行遗传标记分析,具有分辨率高、多态性水平高、检测位点多,易于标准化和自动化,适合大批量样品分析等诸多优势,对蔬菜育种研究工作起关键作用。本文综述了此方面国内外研究的最新进展及其发展前景。