一种基于距离和角度的无线传感器网络GPSR协议

传感器节点能量是影响无线传感器网络的生存周期的关键因素,基本的GPSR协议所使用的贪婪算法忽略了角度因素对下一跳选择的影响,在转发失败遇到空洞问题时只能进行周边边界转发算法,以损耗节点能量为代价。为了节约节点能量,延长网络生存周期,从改进GPSR协议出发,综合考虑距离和角度这两个因素解决路由过程中的空洞问题。仿真实验表明,改进后的协议是网络节点消耗大大减少,网络生存时间为300 s,长于基本GPSR协议下的200 s。该协议缩短了路径长度,节约节点能量,减少能量的消耗,延长了网络生存时间。     

Application of improved mean shiftalgorithm in rocket target tracking

An improved Mean shift based rocket target tracking algorithm is presented. The traditional Mean shift tracker is difficult in tracking fast moving rocket target and suffers in cumulating error. To overcome the limitation of the traditional Mean shift tracking algorithm, three frame difference method is employed to detect the rough position of rocket target. Based on the rough position, Mean shift algorithm is used to achieve precise tracking. Simulation experiments show that the proposed algorithm can effectively track fast moving rocket target and overcome the tracking error cumulating problems.     

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.     

Research of Holospectrum Technique Based on Order Tracking

This paper analyzes the principle of THS(Traditional Holo-Spectrum) technique,and in allusion to the deficiency of THS that only can be used in stationary signal,a new holo-spectrum technique based on order tracking is proposed.By order tracking sampling technology,non-stationary signal in the time domain is transformed into stationary signal in the angle domain,then the THS technique can be applied.Through this way,the influence of non-stationary to THS is reduced and the application of THS is extended.The paper researches the principle of order tracking holo-spectrum and verified by a simulation experiment.The simulation result and error analysis demonstrate that this method can be valid used to analyze the non-stationary signal.The spectrum is distinct and the effect is apparent.     

A blind adaptive reduced-rank receiver for ultra-wideband communication systems

A low-complexity blind adaptive receiver for ultra-wideband (UWB) systems in the presence of both multiple access interference (MAI) and inter symbol interference (ISI) is proposed, which is composed of two stages. In the first stage, a reduced-rank algorithm based on the multi-stage Wiener filter (MSWF) is considered to suppress the MAI and extract multi-path components. Channel estimation using the projection approximation subspace tracking with deflation (PASTd) algorithm and multi-path combining are then performed to further enhance the signal to interference plus noise ratio (SINR) of the desired user in the second stage. The simulation results show that the proposed receiver exhibits reasonably good bit error ratio (BER) performance compared with those of matched filter, conventional Rake receiver, decorrelating Rake receiver and adaptive receiver based on constant modulus algorithm (CMA). Moreover, it has faster convergence speed and less complexity.     

A cooperative localization algorithm for wireless sensor networks

Aiming at the shortcomings of the existing RSS(received signal strength) based localization algorithm for wireless sensor networks (WSN), a cooperative localization algorithm (CLA) is proposed. A reference anchor node is introduced to tolerant some minor error including the node position error. Dixon detection method is applied to remove abnormal RSS values, while the standard deviation threshold of RSS and learning model are introduced to reduce the RSS ranging error and effectively improve the precision. Simulation experiments are performed to evaluate the performance of the proposed algorithm. The results demonstrate that the localization accuracy is improved effectively, while the stability and robustness are better.     

低功耗粮情测控物联网模型研究

以储粮粮情测控为研究背景,以降低粮情测控系统功耗为目标,提出了一种低成本、低功耗、可扩展的弹性粮情测控物联网模型。粮情测控物联网模型包括三层结构:感知层、传输层和汇聚层。感知层支持多参数粮情数据感知;传输层多跳传输粮情数据;汇聚层兼容GPRS、WIFI、WLAN、3G、Enthernet等通信方式,系统结构灵活,扩展性强。实验验证,该模型相较于传统的WSN至少可以延长粮情测控系统的寿命,粮情感知节点在不更换电源情况下可以工作3~5年。     

A floating threshold quantization algorithm to suppressmixing interferences in partial discharge

Due to the obvious difference of energy distribution frequencies from partial discharge (PD) signal and its mixing interferences (white noise and narrow brand), we uses the characteristic that node decomposition coefficients of wavelet packet transform can effectively show the energy change of signals to build up a floating threshold quantization algorithm (FTQA) varying with the noise energy of PD decomposition coefficients. It makes the node thresholds under the optimal base various with the noise strength in decomposition coefficients to self adaptively reality the choice of optimal threshold to finely partition PD decomposition coefficients. For simulated and real PD signals with mixing interferences, the conditional global threshold quantization algorithm (GTQA) and the proposed floating threshold quantization algorithm are employed to suppress the mixing interferences in PD signals and compared, and the results show that the proposed algorithm has the stronger suppression ability to mixing interference on PD signal and keeps perfect PD waveform via suppression.     

The Hysteretic Performance Analysis and Experiment on K-type Overlap Joints of Circular Steel-tubes

Joints are the most important parts of the space structure, the load-derormation curve (hysteretic curve) under repeated loading is the comprehensive reflection of their mechanical properties such as ductility, energy dissipation capacity, strength, stiffness and so on. By the simulation experiment analysis and the finite element simulation between the two models of hidden welding and no-welding hidden in K-type node in the chord axial reciprocating load resulted in the failure modes and hysteretic curve, the result of comparative analysis about finite elements is consistent with that of experiment study. The results show that the destroyment at hidden welding seam node is partly, the take-over is broken down at the welds finally. The welding line is destroyed overall when facing the destroyment of no-welding node. The carrying capacity of the hidden welding is obvious. Through the finite element simulation analysis instead of phase through node hysteretic performance test is feasible.     

OBS网络的拥塞控制汇聚算法分析

传统OBS网络汇聚算法没有综合考虑边缘节点汇聚算法和核心节点的数据调度算法二者之间的相互联系,其通信性能受限。在分析OBS网络边缘节点汇聚算法对核心节点数据调度的影响后,提出了一种新的边缘节点汇聚算法——基于OBS网络的拥塞控制汇聚算法（CCAA）。该算法通过分析边缘节点汇聚参数对数据调度的影响,调整汇聚算法实现对核心节点调度成功率的影响,最终实现了提高核心节点数据调度的成功概率。     

履带式拖拉机自动驾驶系统路径智能跟踪控制研究

为实现复杂环境下履带式拖拉机田间作业的路径跟踪控制,设计了履带式拖拉机自动驾驶系统,并对路径跟踪与控制算法进行了研究。自动驾驶系统由MCU、双源激光定位系统、速度控制系统、点火/熄火控制系统、液压转向系统等组成。采用模糊算法对行驶过程中的路径偏差进行补偿,实现对路径的跟踪控制。为验证算法的有效性,进行了Matlab/Simulate仿真与田间试验。结果显示对于NF502型履带拖拉机,该系统在100 m范围内可实现有效控制,表明该算法能实现对行驶路线跟踪与控制。     

Order Tracking Method Based on Time-Frequency Analysis

The fault character of moving parts of rotating machinery most time is speed related. The method of order spectrum analysis is more efficient than usual frequency analysis.Two general methods for realizing order tracking are discussed, and a new order tracking method based on time-frequency analysis is proposed. The time frequency order tracking method only depends on software for order tracking, which is a strong supplement to traditional methods, and specially satisfied the require of virtual instruments, so there is a good prospect for its using.     

Architecture and Characteristics of Wireless Sensor Networks

Wireless sensor networks (WSN) is a novel technology about acquiring and processing information. The designer of WSN must have a thorough understand about architecture, protocol and characteristics of WSN. This paper describes communication architecture, component of node and available building scheme for WSN in detail, analyzes the characteristics of all topologies, and presents a protocol stack based on layer theory. The popular wireless communication models are discussed, characteristics and features are also analyzed, which provide a guidance for designer.     

The predictive control of an incremental model based on tracking error

An algorithm of incremental model predictive control is proposed to solve a class of industrial production process real-time tracking problems. The basic idea is to establish a predictive model by adopting speed response on the basis of tracking error, and realize the optimization of the second time performance by using the soft constraint of the increment of control quantity and the online rolling optimization method. The theoretical analysis and Matlab simulation results show that the control algorithm can obtain good tracking performance, smooth dynamic response of the controlled object and strong robustness of the closed-loop system.     

Numerical Simulations and Design Method of Coupled Wall System with FRC Coupling Beams

Using the software, ABAQUS, accurate simulations of seismic behavior of 2 coupled wall specimens and 2 cantilever structure wall specimens using high performance fiber reinforced concrete (FRC) in plastic hinge under quasi static cyclic loading were carried out. The analysis model proves to be effective with the accordance between results of computation and experiment, then it can be used to analyze the seismic behavior of coupled wall system with FRC coupling beams. By using the verified numerical model, the ability of FRC coupling beams instead of RC coupling beams to provide acceptable performance was discussed. In addition, the impact of coupling ratio on seismic behavior of coupled walls was studied. The results show that coupled walls in which FRC coupling beams are used instead of traditional RC beams have good energy dissipation and ductility, and its initial stiffness is increased and stiffness degradation is slow. And as the coupling ratio of coupled wall structures increases, the stiffness and strength increase. But if the coupling ratio is too large, the ductility and energy dissipation capacity will be significantly reduced.     

基于农业与能源资源消费的岩溶山区碳排放效应研究

岩溶山区属于经济欠发达地区,且生态环境脆弱、敏感,准确评估岩溶山区农业与能源消费碳排放对区域碳汇核算有重要意义。本研究参考已有研究,借助生态足迹的理论,将资源消费转化为土地面积,利用土地利用变化的碳排放转换系数,间接计算毕节地区2008年资源消费的碳排放。结果表明：（1）2008年毕节地区的生物资源消费（农作物）产生的总的碳排放为535960.68 t,人均碳排放量0.0643 t/人,单位面积碳排放量0.1996 t/km2;能源消费碳排放中,标准煤消费、天然气消费、油料消费碳排放分别为30058347.94 t、1707.766204 t、18956.56547 t,人均碳排放量分别为3.6046 t/人、0.0002 t/人、0.0023 t/人,单位面积碳排放量分别为11.1937 t/km2、0.0006 t/km2、0.0071 t/km2;（2）毕节地区主要是以煤炭消费的碳排放为主,煤炭消费碳排放在能源消费碳排放中占99.9%;（3）毕节地区的碳汇（固碳）效果较差,主要原因是人为因素导致的石漠化加剧,森林覆盖率较低,其次是岩溶背景所致。探讨典型岩溶地区基于资源消费的碳排放,可以完善中国碳排放理论,也为国家制定差异化的区域碳减排目标和碳排放调控政策提供有益参考。     

利用基因型值构建宁夏粳稻核心种质的方法

以250份宁夏粳稻为材料,根据7个农艺性状的遗传多样性,研究粳稻核心种质的构建方法.采用混合线性模型统计分析方法无偏预测材料各性状的基因型值,根据2种遗传距离(马氏距离和欧氏距离),3种取样方法(多次聚类随机取样法、多次聚类优先取样法、多次聚类偏离度取样法),8种聚类方法(最短距离法、最长距离法、中间距离法、重心法、类平均法、可变类平均法、可变法、离差平方和法),用均值、方差、极差、变异系数及秩次评价不同遗传距离、取样方法、聚类方法的优劣.结果表明,马氏距离优于欧氏距离;偏离度取样法优于优先取样法和随机取样法,聚类方法最好的是最短距离法、可变类平均法,适宜取样比例是15％.用马氏距离、偏离度取样法、15％取样比例、最短距离聚类法构建了37份宁夏粳稻核心种质.     

Development of Measurement and Control System of Engine Test-bed Experiment for Motorcycle

Engine test-bed experiments are the main means of engine performance test, whose necessary developing trend is to apply measurement and monitoring system based on the computer. This paper introduces alteration for engine test-bed experiment system. By adopting data acquisition system, using web and ftp technique, computer-controlling and remote monitoring in real-time are realized. And the details of singlechip are mainly discussed based on data acquisition system, testing-software, web and ftp technique. The improved system realizes automation of engine test-bed experiment and data processing. It can save time and manpower, increase the productivity and improve the working condition. Especially the interface of system software developed by Delphi under Windows is simple, clear and easily dealt. The practical application proves that the new system has good value for engineering.     

On-demand routing algorithm based on load balancing and mobility prediction in wireless mobile Ad hoc network

The traditional routing protocol for wireless mobile ad hoc networks is unable to achieve balanced energy consumption and could not adapt to the dynamic topology changes well.A novel on-demand rooting algorithm is proposed based on load balancing and mobility prediction.The proposed rooting algorithm excludes the unstable links in routing discovery,and allows the node with more energy forward the routing request packet preferentially.In addition,it adopts the active local routing recovery strategy by predicting the link connection time,and finishes the repair work before the link being actually failure.The simulation experiments demonstrate that,comparing with the traditional AODV protocol,with slight increase of the rooting control overhead,the proposed algorithm increases the average packet delivery ratio,decreases the average end-to-end delay of the data packets,and achieves load balancing in the network and prolong the life-span of the network,which shows the proposed algorithm is highly practical.     

物联网技术在农田环境监测中的应用

为了实现农业的自动化管理,为实现农业精准生产,并为科学研究提供全面信息,设计了基于物联网的农田环境监测系统,系统由传感层、传输层和应用层构成。开发了结构灵活、通用性强的路由和协调器节点,节点通过标准模拟接口与传感器连接,在此基础之上构建了具有高可靠性和灵活性的无线传感器网络,该网络能实时感知作物生长环境信息,并将数据可靠地传输到远端服务器管理系统。田间试验表明：基于物联网农田综合环境信息自动监测系统运行稳定、可靠,为科学预测和科学种植提供了依据。