Distributed power control algorithm based on game theory for wireless sensor networks

Energy saving is the most important issue in research and development for wireless sensor networks. A power control mechanism can reduce the power consumption of the whole network.Because the character of wireless sensor networks is restrictive energy,this paper proposes a distributed power control algorithm based on game theory for wireless sensor networks which objects of which are reducing power consumption and decreasing overhead and increasing network lifetime.The game theory and OPNET simulation shows that the power control algorithm converges to a Nash Equilibrium when decisions are updated according to a better response dynamic.     

PEAK COVARIANCE STABILITY OF A RANDOM RICCATI EQUATION ARISING FROM KALMAN FILTERING WITH OBSERVATION LOSSES

We consider the stability of a random Riccati equation with a Markovian binary jump coefficient. More specifically, we are concerned with the boundedness of the solution of a random Riccati difference equation arising from Kalman filtering with measurement losses. A sufficient condition for the peak covariance stability is obtained which has a simpler form and is shown to be less conservative in some cases than a very recent result in existing literature. Furthermore, we show that a known sufficient condition is also necessary when the observability index equals one.     

SIFT与核局部不变映射结合的特征描述算法

为更好地实现图像跟踪,寻找更具鲁棒性和计算简便的特征描述子,提出了一种基于核局部不变映射的尺度不变特征转换(scale invariant feature transform, SIFT)特征描述算法。该算法在继承SIFT算法良好性质的基础上,依据不同空间尺度下能量特征差异性,对尺度内的子图像层数进行细化,以提高稳定特征点的数量。此外,借助核方法的映射特性,解决了局部不变映射法丢失非线性高维特征的问题,形成一种基于核局部不变映射的非线性降维法,进而对特征描述子进行特征重划。实验结果表明,在图像尺度缩放、旋转、模糊、亮度变化等多种场景下,相较现有的主成分分析 SIFT算法,该描述子不但取得更多的稳定特征点,而且计算速度也得到大幅提升。     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

Conceptual design and RCS performance research of shipborne early warning aircraft

In order to improve the survivability of the aircraft,conceptual design and radar cross section（RCS） performance research are done. The CATIA software is used to design the 3D digital model of the shipborne early warning aircraft, and some measures are taken to reduce the RCS characteristics of the early warning aircraft at the same time. Based on the physical optics method and the equivalent electromagnetic flow method,the aircraft＇s RCS characteristics and strength distribution characteristics are simulated numerically, and compared with the foreign advanced shipborne early warning aircraft. The simulation results show that under the X radar band, when the incident wave pitching angle is 0？, compared with the foreign advanced shipborne early warning aircraft, the forward RCS average value of the conceptual shipborne early warning aircraft is reduced to 24.49%, the lateral RCS average value is reduced to 5.04%, and the backward RCS average value is reduced to 39.26%. The research results of this paper are expected to provide theoretical basis and technical support for the conceptual design and the stealth design of the shipborne early warning aircraft.     

Evidence for self-organized criticality in unscheduled downtime data of equipment

How to reduce downtime and improve availability of the complex equipment is very important. Although the unscheduled downtime（USDT） issues of the equipment are very complex, the self-organized criticality（SOC） is the right theory to study complex systems evolution and opens up a new window to the investigation of disasters, such as the sudden failure of the equipment. Firstly,SOC theory and its validation method are introduced. Then an SOC validation method for USDT of the equipment is proposed based on the above theory. Case study is done on bottleneck equipment in a factory and corresponding data pre-process work is done. The rescaled-range（R/S） analysis method is used to calculate the Hurst exponent of USDT time-series data in order to determine the long-range correlation of USDT data on time scale;at the same time the spatial power-law characteristic of USDT time series data is studied. The result shows that the characteristics of SOC are revealed in USDT data of the equipment according to the criterion of SOC. In addition, based on the characteristics of SOC,the overall framework of the prediction method for major sudden failure of the equipment is proposed based on SOC.     

人工神经网络预测离子色谱分离条件

 以EDTA为淋洗液,用均匀试验设计法研究了高Cl^-浓度下Cl^-与NO₂^-,NO₃^-的分离条件.将实验条件和实验结果作为BP神经网络的训练集,同时对网络的结构和训练速率进行筛选和优化.经过2567次训练后,网络训练误差达到10^-5.对训练结果的考察表明,人工神经网络以较少的实验数据成功建立了离子色谱分离条件的预测模型,最大相对误差仅为0.85%.     

Dn-最优确切设计的改进单纯形构造法及其在焊接工艺中的应用

详细地研究了Dn 最优确切设计的数值构造法以及对称算法理论,对Evans的单纯形搜索来构造D 最优设计的方法进行了改进·应用改进的Fibonacci技巧来求新增设计点并引入负测度,采取双循环多点迭代的方法来构造多分量对数项混料模型的Dn 最优确切设计,提出了Dn 最优确切设计的改进单纯形构造法;并运用此新方法构造了多分量对数项混料模型的Dn 最优确切设计·将构造出的Dn 最优确切设计,应用在焊接工艺的配料比中,得到较好的预测与回归效果·从而有力地证明了该算法的有效性及Dn 最优确切设计的实际应用价值·     

气溶胶微粒红外消光特性的计算

根据Mie光散射理论,对球形微粒物质在红外波段的消光参数进行计算,认为给定波长时,物质皆有一个合适的半径,使其质量消光系数达最大;该半径比消光效率峰值相应粒径小.估算了SiO_2、碳黑、石墨和Al粉在3～14μm波段的最大消光系数及相应粒径。     

超磁致伸缩微致动器车削系统的动力学分析

考虑温度及预应力的影响,建立了应用于车削加工系统的超磁致伸缩微致动器动力学模型,并讨论了温度及预应力对其振动响应的影响．预应力对磁滞及理想磁化模型的超磁致伸缩微致动器模型输出位移的影响变化趋势相同,都出现“翻转”现象,在激励磁场小幅值范围内,系统的输出位移随着预应力的增加而减小,随着激励幅值的增加而增加;当激励磁场幅值较小时,温度对输出位移的影响较小,但是当激励磁场幅值较大时,输出位移随着温度的升高而明显减小．该结果对如何处理预应力、温度、超磁致伸缩材料的滞回的影响提供了理论依据．