Improvement and performances of DV hop localization algorithm in wireless sensor networks

In order to improve the node localization precision of Range Free based DV Hop localization algorithm in wireless sensor networks (WSNs) with randomly distributed nodes and dynamic topology, the improved algorithm is proposed. After analyzing the DV Hop algorithm, considering the obvious errors of the estimated node coordinates calculated by Polygon based method in traditional DV Hop algorithm, the numerical iterative algorithm is constructed by employing Taylor series expansion, and simulation studies for the improved DV Hop algorithm are conducted. The selection criteria for the convergent threshold of iterative step is determined, the localization performance of the improved localization algorithm is analyzed by comparing with the traditional DV Hop algorithm under the same condition of selected convergent threshold and simulation parameters, while the calculation amount and convergence rate of the improved algorithm are also measured by the statistic iterations. The simulation results show that by selecting reasonable iterative threshold values and appropriately increasing calculation amount for node localization, the improved DV Hop localization algorithm greatly improves the localization precision and the error stability, which is feasible for node localization in WSNs with both randomly distributed nodes and dynamic topology.     

Drift error compensation algorithm for fiber optic gyro based on T-S fuzzy modeling

A drift error nonlinear compensation algorithm for Fiber Optic Gyro (FOG) is presented based on T-S fuzzy model with the antecedent parameters identified by G-K clustering algorithm and the error model of T-S fuzzy model with the consequent parameters identified by least square algorithm. The computed results show that this model can compensate the original data effectively, while the error principles of FOG do not need to be understood well. Comparing with the original data, compensation with linear fitting and compensation with neural network, the absolute error of the proposed model reduces by 99%, 96% and 10%, respectively. The error variance reduces by 99%, 98% and 20%, respectively. The results indicate that this proposed algorithm can be simply operated with high precision and easy to realize in engineering.     

A clustering algorithm based on link availability for MANET

The cluster topology management in the MANET network is studied in. The classic Lin-Gerla clustering algorithm is improved to increase the logical topological stability. By considering the node mobility in the communication systems, the notion of relative motion is introduced, and the nodes more stable are chosen as the cluster-heads, which effectively increases the stability of mobile network with Random Direction Model. Regarding the possible high concentration, a fast cluster splitting method is proposed for cluster maintenance. The simulation and performance analysis for the improved algorithm are given.     

Restoration algorithm with wavelength reservation collision avoidance in ASON

Aiming at the problem of link fault restoration in ASON, an improved equalizing routing algorithm (ERA) is introduced to proportion the load at the routing phase. In order to solve the easy blocking problem for the network without wavelength converter because of the wavelength continuity constraint, the algorithm WRCA is proposed at the wavelength assignment phase. This algorithm is realized by adding collision detection object (CDO) in the path message of the resource reservation protocol with traffic engineering extension (RSVP TE). Depending on the value of the CD flag, different wavelength selection strategies are applied at the destination node, and the blocks resulting from wavelength reservation collision are reduced. The simulation experiments compare four wavelength assignment algorithms with the same routing algorithm ERA. The results show that compared with the traditional first fit algorithm (FF) and random fit algorithm (RD), the FF and RD employing CD scheme can effectively reduce the blocking ratio of the whole network, and enhance the practical applicability of the restoration algorithms.     

Simulation of the constant modulus blind equilibrium algorithm with variable step size based on the mean square error

The mathematic models and basic theory of constant modulus algorithm (CMA) for blind channel equalization are introduced. An improved algorithm with variable step size is proposed based on CMA. The improved algorithm uses the mean square error (MSE) to obtain the new variable step size to solve the contradiction between the convergence rate and accuracy in traditional CMA with fixed step. To smooth the MSE learning curve for easy comparison, an ensemble average technique is used to analyze the performance of convergence with different step sizes. The theoretical analysis and the simulation results show that the improved algorithm is superior to the traditional constant modulus(CM) in terms of convergence speed and residual error.     

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.     

Strategy and implementation of resolve overlapping spectra based on curve fitting

Aming at the overlapping peaks in spectrum analysis, a novel method of curve fitting based on Gaussian function is presented to resolve the overlapping peaks. The theory of curve fitting is introduced firstly, and then an algorithm is proposed based on both the minimum separable peak peak interval and the curve fitting error. In the peak positioning, a gradually strict strategy is introduced to exclude the fake peaks. The resolution of several kinds of overlapping peaks with computer simulated noise has been performed and discussed in details. The calculated results indicate that the peak positions can be extracted effectively, even in the case of serious overlapped, and clearly show the effectiveness of the proposed method.     

渔业科学数据智能RSS阅读器的设计研究

针对传统RSS阅读器在实际应用中接收大量冗余信息的问题,提出一种智能化的RSS阅读器。该阅读器基于渔业科学数据平台,采用向量空间模型,运用中文分词、对象持久化等技术实现智能原理,设计实现了智能化RSS阅读器。实验证明：该阅读器的过滤有效性为86.2%,过滤准确性为82.4%,能够较好地过滤掉与用户不相关的信息。应用结果表明：渔业科学数据智能RSS阅读器的实现可使用户获得更精准的信息。     

Multi-target tracking algorithm based on adaptive sampling interval in wireless sensor networks

Multi-target tracking is a hot topic of current research on wireless sensor networks (WSN). Based on adaptive sampling interval, we propose a multi-target tracking algorithm in order to save energy consumption and prevent tracking lost for WSN. We contrast the targets moving model by using the position metadata, and predicte the targets moving status based on extended Kalman filter (EKF).we adopt the probability density function (PDF) of the estimated targets to establish the tracking cluster. By defining the tracking center, we use Markov distance to quantify the election process of the main node (MN). We comput targets impact strength through the targets importance and the distance to MN node, and then use it to build tracking algorithm. We do the simulation experiment based on MATLAB, and the experiment results show that the proposed algorithm can accurate predict the trajectory of the targets, and adjust the sampling interval while the targets were moving. By analyzing the experiments data, we know that the proposed algorithm can improve the tracking precision and save the energy consumption of WSN obviously.     

Truss Structure Shape Optimization withDifferential Evolution Algorithm

Differential Evolution (DE) was introduced to get the global optimum and overcome the difficulties encountered by coupling two types of design variables in the shape optimization of truss structures with stress, geometry, and local stability constraints. The basic principle of DE algorithm was presented in detail first, and then mathematical model for shape optimization of truss structures was presented, in which two types of design variables, such as the node coordinates and section areas, were considered simultaneously. Several classical problems were solved with DE algorithm, and the results were compared with those using the other optimization methods. It was shown that DE algorithm had good convergence and stability and could be applied for shape optimization of truss structures effectively.     

Novel channel estimation algorithm for OFDM/TDM over fast fading channels

For the shortage of tracking ability against fast fading channel of the existing pilot structures and channel estimation algorithms in OFDM combined with time division multiplexing (OFDM/TDM) system, an improved channel estimation algorithm is proposed. The channel transfer functions are obtained by estimating the channel properties with two adjacent time domain multiplexing (TDM) pilot sequences, while the channel state information of the OFDM/TDM symbols is obtained with interpolation Combined with frequency domain equalization based on minimum mean square error (MMSE-FDE), the proposed algorithm can significantly compensate the path loss over fast fading channels. Simulation results show that, compared with the existing channel estimation algorithms, the proposed algorithm can achieve better performance, which is not only capable of dealing with slow fading channels, but also has a better tracking ability against fast fading channels with the same data transmission efficiency.     

组织特异表达启动子RSS1P在转TiERF1基因小麦中的应用

从水稻叶片中克隆了一个韧皮部组织特异表达的水稻蔗糖合酶启动子(RSS1P),将RSS1P与中间偃麦草乙烯反应因子基因TiERF1相融合构成组织特异表达的TiERF1基因表达盒,取代pAHC20中Ubi::bar基因表达盒,构建成无选择标记的韧皮部组织特异表达的pA20-RSS1P::TiERF1载体。利用基因枪将pA20-RSS1P::TiERF1与pAHC20载体混合、共轰击小麦品种扬麦12的幼胚愈伤组织,获得转RSS1P::TiERF1基因小麦。对该转基因小麦T₀和T₁代植株进行PCR、PCR-Southern、半定量RT-PCR和荧光定量PCR分析,证实外源RSS1P::TiERF1基因已转入受体,并且具有可遗传性;转入的RSS1P::TiERF1基因仅在根、茎、叶中表达,以根部表达量最高,在种子内不表达。纹枯病抗性鉴定和主要农艺性状考察结果表明,与受体扬麦12相比,转RSS1P::TiERF1基因小麦对纹枯病的抗性有明显提高,与转Ubi::TiERF1基因小麦的抗病性相当,而且转RSS1P::TiERF1基因小麦的农艺性状没有明显改变,说明可以利用RSS1P启动子创造更实用的转基因小麦新种质。     

A fuzzy logic multicasting algorithm for ad hoc networks

To increase the multicasting efficiency of Ad hoc networks, a fuzzy logic multicasting algorithm (FLMA) is proposed. FLMA adopts the fuzzy logic to tolerate the imprecise information caused by dynamic network topology. The two input variables of the fuzzy logic system are the relative degree of the additional coverage node number and the relative degree of the residual energy. The deferring time of rebroadcast is the output variable of the fuzzy logic system, which is used to optimize the priority of the nodes to rebroadcast. FLMA reduces the redundant retransmission and the chance of the contention and collision, while balances the energy consumption of the nodes. Simulation results reveal that the FLMA achieves better performance than BCAST in terms of the network lifetime, average end-to-end delay, the average number of drops per node and the throughput.     

A blind channel estimation algorithm for UltraWide band channel based on compressive sensing

The sampling speed for the ultra wide band (UWB) channel is too high to realize with the existing sampling technology. To solve the problem, a novel blind channel estimation algorithm was presented based on the theory of compressive sensing. Firstly, some measurements are obtained which are linear combinations of the received signals multiplied by a random incoherent measurement matrix. Then, the mathematical model is established by exploiting the first statistics of the measurements. Finally, the orthogonal matching pursuit (OMP) algorithm is utilized to get the estimating channel parameters. With the proposed algorithm, the number of the measurements need for channel estimation is much smaller than that of the samples needed for the existing algorithms, which reduces the ADC resources greatly. The simulation result shows that the estimation performance of the algorithm is good, while the bit error rate (BER) is only 2~3dB higher than that of the exact channel.     

鉴定水稻灌浆期叶片光合作用与籽粒灌浆切合程度的新指标

以10个水稻品种为材料, 研究了源库增量比及其与有关植株产量性状和光合生理指标的关系. 结果表明, (1) 源库增量比在水稻品种间存在基因型差异, 说明该指标可作为生理育种指标; (2) 源库增量比与籽粒充实度及结实率之间存在多项式的关系(P<0.01), 表明该指标越接近于1, 其籽粒充实度及结实率越高. (3) 源库增量比与光合功能     

Channel estimation for MB OFDM UWB system based on tap detecting

A novel channel estimation algorithm is proposed for MB OFDM Ultra Wide Band systems based on tap detecting by exploiting the sparse property of channel impulse response. The channel parameters are estimated using the DFT algorithm based on cyclic convolution property of the receive signals. The nonzero taps are detected by exploiting the matching pursuit(MP) algorithm. The new estimated channel parameters are obtained by forcing the zero taps to zeros. Simulation results demonstrate that it has better MSE (mean square error) performance for the four channels proposed by IEEE. Especially for CM1 and CM2 channels, the performance of the algorithm has been greatly improved.     

利用混合蛙跳算法优化基于APSIM的旱地小麦产量形成模型参数

模型参数的快速、准确估算是产量形成模型应用的重要前提。在基于APSIM (agricultural production systems simulator)的旱地小麦产量形成模型参数本土化率定过程中, 存在体量大、耗时长、精度低、效率低的缺点, 本研究利用智能算法优化模型参数, 试图解决上述问题。依据甘肃省定西市安定区李家堡镇麻子川村2002—2005年、凤翔镇安家沟村2015—2016年大田试验数据以及定西市安定区1971—2016年气象和产量资料, 运用混合蛙跳算法分组轮换和全局信息交换的智能策略, 对基于APSIM的旱地小麦产量形成模型参数进行了优化, 并采用相关性分析方法检验。该优化方法利用青蛙智能的群体生物进化学习策略, 可实现对小麦产量形成模型参数的估算, 较APSIM平台参数本土化率定常用的穷举试错法, 参数优化后产量模拟精度显著提高, 均方根误差(RMSE)平均值由79.13 kg hm ^-2降低到35.36 kg hm ^-2, 归一化均方根误差(NRMSE)平均值由5.97%降低到2.63%, 模型有效性指数(M_E)平均值由0.939提高到0.989。该方法全局优化能力强, 收敛速度快。     

Improved SLM algorithm to improve the PAPR performance of OFDM system with low implementation complexity

In order to consider the feasibility of practical implementation and reduce the complexity of OFDM systems, an improved SLM algorithm is proposed. The original data are segmented and scrambled, which breaks the correlation of the original data sequences, and reduces all sub-carrier phase coherence, thereby reducing the OFDM system PAPR. Following the linear nature of the Fourier transform, the obtained IFFT data sequences are linearly combined to get the new scrambling code sequences, such that strictly controlling the IFFT number, while getting more data sequences, which further reduces the system PAPR, and significantly reduces the computational complexity of the system. Theoretical analysis and simulation results show that the improved SLM algorithm can effectively suppress PAPR, while reducing the algorithm complexity and system complexity.     

Cylindricity error evaluation using artificial bee colony algorithm with tabu strategy

For cylindricity error evaluation, the Least Squares Method (LSM) is not good enough because of the big error, while the bionics algorithms such as Genetic and Ant Colony Algorithm need to set many parameters and converge slowly, an Artificial Bee Colony Optimization Algorithm is proposed to evaluate the minimum zone cylinder (MIC). This Algorithm refers the tabu strategy for tabu search algorithm to use the Tabu table to save the local optimization results. It enhances the control effect of parameter limit and improves the global convergence ability. Experiment results indicate that this method can converge to the global optimization very quickly. The average runtime is nearly 1.2 s. It is applicable to the real time processing system such as Three Coordinate Measuring Machine.     

元动作装配单元误差传递模型及有效路径求解方法

在对机械产品进行"功能-运动-动作"结构化分解的基础上,将影响元动作装配单元装配精度的误差源分为零部件的形状误差、位置误差、装配位置误差和运动误差等四类误差源。引入误差链接模型作为元动作装配单元误差关联关系的基本封装单元,构建结构化误差关联模型——链接网络和链接矩阵,形象描述误差间的耦合嵌套关系。提出基于误差链接模型的装配误差传递路径求解方法,用老鼠迷宫算法搜索所有可能的误差传递路径,以装配精度最高作为判别依据,得到各误差分量的有效传递路径。以蜗杆转动元动作装配单元蜗杆轴线平行度误差有效传递路径为目标,对上述方法进行验证,结果表明该方法能够高效地搜索到所有误差传递路径,并快速获得有效传递路径。该方法的提出为整机装配过程质量预测与控制提供了理论依据。