计算机动态模拟方法在城市交通噪声监测中的应用

阐述城市道路交通噪声高污染区域的监测与模拟研究。实现基于微观交通仿真的交通噪声动态模拟方法,采用该方法对峡谷型道路十字交叉口和公交车站两类典型的城市道路交通噪声高污染区域进行了动态模拟,同时对这两类区域的交通噪声进行了实地监测。监测结果和模拟结果的对比表明：该方法对等效声级Leq和统计声级L10,L50和L90等的预测具有较高的准确性,对交通噪声实地监测的优化布点和区域噪声分析有较强的指导意义。     

以太网热敏打印机控制装置的研制

利用热敏打印机体积小、速度快、噪音低、打印清晰等优点,结合目前应用十分广泛的基于TCP/IP协议的以太网技术,设计基于以太网的热敏打印机嵌入式控制装置。本文介绍系统开发的总体方案,系统主要包括硬件设计和软件设计,硬件部分以LM3S8962为控制核心,设计打印头步进电机驱动电路,缺纸和温度检测与保护、键盘与TFT、以太网接口等电路。软件部分设计上位机人机界面、以太网通讯软件,控制装置嵌入μC/OS-II实时操作系统,进行任务的划分和应用层任务软件、文字和图形打印,以太网驱动和步进电机驱动、温度检测与保护等软件设计。     

Extreme value analysis of streamflow time series in Poyang Lake Basin, China

Extreme meteorological and hydrological events may cause major disasters and heavy social and economic losses.Therefore,more and more studies have focused on extreme hydro-meteorological events in various climates and geographic regions.Based on nearly 50 years of observed records of the Poyang Lake Basin,the occurrence and changing trends of extreme streamflow indices,including the annual maximum flow,annual peak-over-threshold flows,and low flows,were analyzed for ten hydrological stations.The results indicate that most annual maximum flows occurred from April to July,highly attributed to the Southeast Asian summer monsoons,whereas the annual minimum flows were concentrated between January and February.As for the low flow indices (the annual minimum flow,annual minimum 7-d flow,and annual minimum 30-d flow),a significant increasing trend was detected in most parts of the Poyang Lake Basin.The trends illustrate the potential effects of climate change and human activities on the hydrological cycle over the Poyang Lake Basin.     

Multi-objective K-connected Deployment and Power Assignment in WSNs using a problem-specific constrained evolutionary algorithm based on decomposition

The K-connected Deployment and Power Assignment Problem (DPAP) in WSNs aims at deciding both the sensor locations and transmit power levels, for maximizing the network coverage and lifetime objectives under K-connectivity constraints, in a single run. Recently, it is shown that the Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) is a strong enough tool for dealing with unconstraint real life problems (such as DPAP), emphasizing the importance of incorporating problem-specific knowledge for increasing its efficiency. In a constrained Multi-objective Optimization Problem (such as K-connected DPAP), the search space is divided into feasible and infeasible regions. Therefore, problem-specific operators are designed for MOEA/D to direct the search into optimal, feasible regions of the space. Namely, a DPAP-specific population initialization that seeds the initial solutions into promising regions, problem-specific genetic operators (i.e. M-tournament selection, adaptive crossover and mutation) for generating good, feasible solutions and a DPAP-specific Repair Heuristic (RH) that transforms an infeasible solution into a feasible one and maintains the MOEA/D’s efficiency simultaneously. Simulation results have shown the importance of each proposed operator and their interrelation, as well as the superiority of the DPAP-specific MOEA/D against the popular constrained NSGA-II in several WSN instances.     

Paint Mesh Cutting

We present a novel progressive painting‐based mesh cut out tool, called Paint Mesh Cutting, for interactive mesh segmentation. Different from the previous user interfaces, the user only needs to draw a single stroke on the foreground region and then obtains the desired cutting part at an interactive rate. Moreover, the user progressively paints the region of interest using a brush and has the instant feedback on cutting results as he/she drags the mouse. This is achieved by efficient local graph‐cut based optimizations based on the Gaussian mixture models (GMM) on the shape diameter function (SDF) metric of the shape. We demonstrate a number of various examples to illustrate the flexibility and applicability of our system and present a user study that supports the advantages of our user interface.     

Discriminative Sketch‐based 3D Model Retrieval via Robust Shape Matching

We propose a sketch‐based 3D shape retrieval system that is substantially more discriminative and robust than existing systems, especially for complex models. The power of our system comes from a combination of a contour‐based 2D shape representation and a robust sampling‐based shape matching scheme. They are defined over discriminative local features and applicable for partial sketches; robust to noise and distortions in hand drawings; and consistent when strokes are added progressively. Our robust shape matching, however, requires dense sampling and registration and incurs a high computational cost. We thus devise critical acceleration methods to achieve interactive performance: precomputing kNN graphs that record transformations between neighboring contour images and enable fast online shape alignment; pruning sampling and shape registration strategically and hierarchically; and parallelizing shape matching on multi‐core platforms or GPUs. We demonstrate the effectiveness of our system through various experiments, comparisons, and user studies.     

一种无接触供电的无线鼠标

介绍了一种无接触供电的无线鼠标设计电路,无接触电能发射装置采用USB供电,通过自激振荡电路产生了138 kHz的高频振荡电压;无接触电能接收装置采用感应耦合方式获取电能.无线鼠标用无线模块nRF24E1构成信号发射和接收电路,该电路除具备有线鼠标全部功能外,还可以离开电脑远距离灵活操纵鼠标.     

基于统计证据的半监督多分类器融合方法

针对半监督学习中未标记示例导致性能下降的问题,提出一种新的协同训练算法LDL-tri-training.首先通过最小显著性差异（LSD）假设检验方法使得3个成员分类器两两之间具有显著性差异;然后采用D-S证据理论提高标注的稳定性;最后利用局部异常因子检测算法剔除误标记的噪声样本.实验表明,与其他方法相比,LDL-tri-training算法具有较高的分类精度和稳定性.     

依据流统计特性的报文分类规则集动态优化*

本文针对普遍使用的线性搜索报文分类方法在时间效率方面的固有弱点,设计了一种依据数据流统计特性的规则集自适应动态优化算法。其中包括：规则权重计算,规则优化排序,动态触发优化等部分。在占用较少资源的情况下,较为有效地提高了系统性能,并经实验结果证明,应用效果良好。     

基于星地通信系统的变速率通信质量控制方法

为有效地提高星地通信系统的通信质量,提出了一种改变信息传输速率的方法VCTRM。该方法根据当前星地信道状况自适应地改变调制方式和码元传输速率,克服了采用变调制方式传输时在低信噪比时不能满足系统误比特率的缺陷,同时又解决了采用变码元传输速率在高信噪比时不能提高系统吞吐量的问题。通过Matlab对变调制方式、变码率及VCTRM三种传输方式进行了仿真,结果表明,VCTRM在不同信道状况下均能满足系统对误比特率(BER)的要求,且获得的系统吞吐量明显高于其他方法。