Measurement-based TFRC: improving TFRC in heterogeneous mobile networks

As a well-known multimedia stream transport protocol, TFRC provides smooth transfer rate under stable network conditions, and achieves good fairness to TCP. However, it is not flexible in heterogeneous mobile networks because the available bandwidth varies rapidly. This paper proposes a measurement based TFRC (MBTFRC) protocol, which uses passive bandwidth measurements at the receiver to improve the flexibility of TFRC. In addition, a window-based EWMA filter with two weights is used to achieve stability and fairness simultaneously. Simulation results verify the flexibility, stability and fairness of MBTFRC.     

Redox Properties and Catalytic Behavior of Praseodymium-Modified (Ce-Zr)O2 Solid Solutions in Three-Way Catalysts

The three-way catalyst promoters (Ce-Zr)O₂, (Pr-Ce-Zr)O₂ and (Pr-Zr)O₂ were prepared by the sol-gel method. The reduction/oxidation behavior of these mixed oxides was compared. It is shown that the formation of (Pr-Zr)O₂ cubic solid solution at high temperature up to 800 °C makes it more reducible, and that the ternary solid solution that formed in (Pr-Ce-Zr)O₂ mixed oxides plays an important role in the reduction process. The catalytic performance tests reveal that the introduction of a small amount of praseodymium into (Ce-Zr)O₂ favors the light-off temperature of C₃H₆ and NO and the effectiveness for NO conversion at the lean region.     

基于平方位置误差下限的优化功率分配方案

在无线传感网络中,节点定位是基于位置的应用基本要求。然而,现多数文献仅关注定位精度,而忽略了能量消耗对定位精度的影响。为此,针对基于接收信号强度RSSI(Received Signal Strength Indicator)定位方案,提出基于平方位置误差下限SPEB(Squared Position Error Bound)的优化功率分配SPEB-OPA(SPEB-Based Optimal Power Allocation)方案,目的在于最小化能量消耗。在SPEB-OPA算法中,将SPEB作为评定定位精度的参数,并推导出SPEB表达式,然后建立优化功率分配的目标函数,并考虑到锚节点位置存在误差。仿真结果表明,提出的SPEB-OPA方案极大地减少了功率消耗。当误差门限T=8时,SPEB-OPA方案的功率消耗比统一功率分配UPA(Uniform Power allocation)方案减少至50%。     

人机交互中的声源定位与增强方法

基于人机交互的实际应用场景,提出了一种交互目标声源三维定位与语音增强算法。该算法首先在广义相关法的基础上提出一种声达时延差的估计方法,通过由6个麦克风构成的平行均匀线阵接收模型,实现对目标声源的三维定位;然后在交互目标声源定位的基础上,通过调整时延波束叠加的权值,实现对目标语音的增强。仿真实验结果表明,文中提出的算法能够准确定位目标声源并对目标语音进行有效增强。在信噪比大于1.5 dB 的环境中,该算法可使目标声源达到98%以上定位精度,5 dB 以上信噪比改善,同时算法运算量小且易于硬件实现。     

Research on social relations cognitive model of mobile nodes in Internet of Things

Interaction and communication between humans with smart mobile devices are a new trend of development in Internet of Things (IoT). With the powerful sensing capability of smart device and human mobility, various services could be provided by building a trusted chain between service requesters and suppliers. The cognition of social relations between mobile nodes is the basis of final mobile-aware services. It involves many decision factors, such as time, space and activity patterns. Using social network theory, a new cognitive model for social relations of mobile nodes in IoT is proposed. Firstly, nodes' social relations are reasoned and quantified from multiple perspectives based on the summary of social characteristics of mobile nodes and the definition of different decision factors. Then the location factor, interconnection factor, service evaluation factor and feedback aggregation factor are defined to solve the shortcomings in existing quantitative models. Finally, the weight distribution is set up by information entropy and rough set theory for these decision factors; it can overcome the shortage of traditional methods, in which the weight is set up by subjective ways and hence their dynamic adaptability is poor. We compare our cognitive model to existing models using MIT dataset by defining a variety of test indicators, such as network overall density (NOD), the degree center potential (DCP), the network distribution index (EI), etc. Simulation results show that, the cognitive model has better internal structure and significant validity in network analysis, and thus can provide mobile-aware service effectively in dynamic environment.     

基于GIS组件的地下管线系统的设计与实现

目前城市的地下管线错综复杂,传统的人工管理方式已不能满足行政管理部门的决策和各专业管线单位的管理需要。为此文章在对地理信息系统研究的分析的基础上,分析了地下管理系统的开发模式和实现技术,确定了基于GIS组件二次开发的控件和算法,设计并实现了城市地下管线信息系统,在实际的应用中取得了较好的效果。     

石墨烯/银纳米颗粒复合材料的制备及其对双氧水的电化学检测

以氧化石墨烯(GO)和硝酸银为原材料,聚乙烯吡咯烷酮(PVP)为还原剂和稳定剂,通过水热法制备出还原氧化石墨烯/银纳米颗粒(rGO/AgNPs)复合材料。采用透射电子显微镜(TEM)、X射线衍射(XRD)及紫外-可见分光光度计(UV-Vis)对rGO/AgNPs复合材料的形貌、组成和结构进行表征。同时,将rGO/AgNPs复合材料修饰到玻碳电极表面制备出过氧化氢(H_2O_2)电化学传感器,通过循环伏安法(CV)和计时安培响应法(i-t)对传感器进行电化学性能测试。实验结果表明:制备的rGO/AgNPs传感器具有较好的电化学性能,其对H_2O_2检测的灵敏度为340.6μA·(mmol/L)~(-1)·cm~(-2),响应时间为3s,最低检测极限为7.5μmol/L(S/N=3),线性检测范围为20~4950μmol/L(线性相关系数为R=0.9973)。     

基于FPGA的相控超声发射系统设计与实现

设计了一种以FPGA为核心的相控超声发射系统,对该系统工作原理及相控聚焦方法进行了研究;设计了一种二维相控阵列,并进行了阵列定点聚焦延时仿真;最后运用该系统实现了对相控阵列的高精度聚焦延时控制,并经过DA转换、电压及功率放大,产生了幅值及波形可控的激励信号,测试了该系统对实际目标的定位精度;实验结果显示对实际目标定位偏差在3%左右,该超声相控发射系统可实现相控聚焦发射,延时控制精度高,可靠性好。     

Sensor selection for parameterized random field estimation in wireless sensor networks

We consider the random field estimation problem with parametric trend in wireless sensor networks where the field can be described by unknown parameters to be estimated. Due to the limited resources, the network selects only a subset of the sensors to perform the estimation task with a desired performance under the D-optimal criterion. We propose a greedy sampling scheme to select the sensor nodes according to the information gain of the sensors. A distributed algorithm is also developed by consensus-based ...