无线鼠标电路设计及算法实现

文中设计的无线鼠标包含发射电路和接收电路两部分,发射电路先采用光传感器ADNS5030检测鼠标的移动信息,然后输出到内置单片机的无线模块CC2430的I/O口,通过CC2430控制并将此信息发射到接收电路,接收电路接收到移动信息后,根据鼠标位移状态机解码算法,得到移动信息及按键信息,通过HT82M98A处理后将信息传给计算机,计算机自动完成相应动作;然后不断的循环;经测试,该电路不仅具备普通有线鼠标的全部功能,还可远距离灵活操纵鼠标,在大礼堂等开阔场所可达80 m以上;计算机自动识别无线鼠标接收电路,不需要额外安装程序,每一次鼠标信号处理总时间不大于1 ms,无线鼠标移动灵活,无停滞现象.     

高应力硬脆玄武岩微裂隙分布及破裂发展辨识

白鹤滩水电站区域构造地应力高,玄武岩坚硬性脆、隐微裂隙发育,地下厂房开挖过程顶拱浅层应力型开裂和深层破裂特征明显,传统的声波、钻孔电视测试和变形监测等方法难以精确获取岩体微破裂裂隙分布特征及高应力破裂发展特征信息。采用高精度超声波成像综合测试系统新方法,对厂房顶拱应力破裂破坏显著区域进行了多次重复测试。测试成果揭示：① 厂房顶拱上方岩体赋存的裂隙面倾角以陡倾角为主,优势倾角范围为45.98°~52.06°;裂隙面的倾向为NWW向,优势倾向范围为276.36°~292.01°,裂隙面倾角和倾向随深度变化不明显。② 顶拱浅层围岩破裂裂纹集中区一般在3.50~4.25 m的深度范围内,围岩深部诱发破裂裂纹区主要分布在9.68~10.11,16.12~16.32,21.45~21.77 m范围。③ 局部岩体受顶拱应力场不断调整演化作用,出现岩体破裂随时间加剧的现象。该成果高精度地辨识了玄武岩不同深度微破裂裂隙面分布特征、深度范围和应力破裂发展特点,对研究高应力硬脆玄武岩力学特性和响应机理提供了坚实基础资料,为工程开挖施工和动态支护设计发挥了重要支撑作用。     

一种新型摩擦电液加载系统的设计与验证

为解决传统负载模拟器受到被加载对象运动干扰的问题,提高实验室环境下负载模拟的精度,提出用执行机构或伺服驱动系统带载测试的摩擦电液加载方案.分析传统电液负载模拟器加载性能受被测试设备运动干扰的影响,设计一种基于摩擦加载的主动式电液力矩伺服加载系统.根据加载原理,建立摩擦加载系统的数学模型,分析数学模型结果表明,理想情况下摩擦加载方案不受被加载机构运动的影响.鉴于实际过程中系统存在多种变化参数,特别是具有不确定性和时变性的摩擦,仿真分析摩擦因数变化时摩擦电液加载系统的加载性能.仿真结果表明:传统电液负载模拟器受被测试设备运动影响很大,使得传统电液负载模拟器性能很难进一步提升;相对被动加载的传统模拟器性能,尽管摩擦因数会受相对运动、负载压力和温度等因素的影响在一定范围内变化,但摩擦电液加载系统仍能保持较高的力矩模拟精度.     

DECODE: a new method for discovering clusters of different densities in spatial data

When clusters with different densities and noise lie in a spatial point set, the major obstacle to classifying these data is the determination of the thresholds for classification, which may form a series of bins for allocating each point to different clusters. Much of the previous work has adopted a model-based approach, but is either incapable of estimating the thresholds in an automatic way, or limited to only two point processes, i.e. noise and clusters with the same density. In this paper, we present a new density-based cluster method (DECODE), in which a spatial data set is presumed to consist of different point processes and clusters with different densities belong to different point processes. DECODE is based upon a reversible jump Markov Chain Monte Carlo (MCMC) strategy and divided into three steps. The first step is to map each point in the data to its mth nearest distance, which is referred to as the distance between a point and its mth nearest neighbor. In the second step, classification thresholds are determined via a reversible jump MCMC strategy. In the third step, clusters are formed by spatially connecting the points whose mth nearest distances fall into a particular bin defined by the thresholds. Four experiments, including two simulated data sets and two seismic data sets, are used to evaluate the algorithm. Results on simulated data show that our approach is capable of discovering the clusters automatically. Results on seismic data suggest that the clustered earthquakes, identified by DECODE, either imply the epicenters of forthcoming strong earthquakes or indicate the areas with the most intensive seismicity, this is consistent with the tectonic states and estimated stress distribution in the associated areas. The comparison between DECODE and other state-of-the-art methods, such as DBSCAN, OPTICS and Wavelet Cluster, illustrates the contribution of our approach: although DECODE can be computationally expensive, it is capable of identifying the number of point processes and simultaneously estimating the classification thresholds with little prior knowledge.     

Time-variant global reliability sensitivity analysis of structures with both input random variables and stochastic processes

Structural and Multidisciplinary Optimization - The ubiquitous uncertainties presented in the input factors (e.g., material properties and loads) commonly lead to occasional failure of mechanical...     

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.     

ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization

The spatial scan statistic (SaTScan) has become one of the most popular methods for detecting and evaluating spatial clusters. However, this method can only identify circular or elliptical clusters and is not a good fit for the detection of irregularly shaped clusters. Numerous methods have since been proposed to solve this problem. Nevertheless, if multiple clusters coexist, these methods may not identify the correct situation, because the interference between clusters can easily lead to a tree-like shaped cluster and cause confusion in the results. In this paper, we propose an Ant Colony Optimization based Multiple Cluster Detection (ACOMCD) algorithm, which combines classical SaTScan with the ant colony optimization (ACO) approach. In the initial stage, SaTScan is first used to mark the candidate cluster areas according to the significance of their maximum likelihood evaluations. Then ACO-based scan statistic is carried out separately on these candidate clusters to identify their natural shapes. The algorithm was designed for spatial regional count data only. Comparisons between ACOMCD, SaTScan, GaScan (genetic algorithm-based scan statistic), and FleXScan (flexibly shaped spatial scan statistic) on three kinds of simulated datasets show that ACOMCD performs the best in simultaneously determining the exact number of clusters and identifying multiple irregularly shaped clusters. A case study on esophageal cancer in eastern China further validates the correctness and effectiveness of ACOMCD.     

用电阻网络对医用传感器的特性进行补偿

医用传感器的特性补偿方法非常多。文章介绍了采用简单的电阻网络对一些医用传感器的特性进行补偿的技术     

驱热力过程理论模型的热力学分析

为研究双热源联合循环的热力性能极限,构建了两介质热功转换系统理想热力学模型,并提出了驱热力过程的基本概念。通过分析热机循环区间与热泵循环区间过程功量之间的关系,对驱热力过程进行分类,并通过输出功量占比进行定量分析。构建并求解了顺流型和逆流型驱热力过程函数。分析了不同类型驱热力过程在理想条件下的热力特性与性能极限。研究结果表明:顺流型驱热力过程的最大过程功量大于逆流型,且放热介质与吸热介质间的温度交叉现象更为明显。吸热介质等效温升可用于判断驱热力过程类型,其最大值表征了输出功量极限。实际系统的评价研究指出,串联型联合循环的总换热量是基本型ORC的1.97倍,更适用于同时具有热电需求的场合。但其净输出功效率（6.55%）、效率（26.61%）、热力完善度（36.38%）均显著低于基本型有机朗肯循环。双热源联合循环实际系统的热力性能提高方法值得研究。本研究可为不同类型两介质热功转换系统的热力性能极限与评价提供理论指导。     

软件漏洞模糊测试的关键分支探索及热点更新算法

在软件开发及应用中,由于具有可复现性,模糊测试能够帮助发现漏洞和有针对性地对漏洞成因进行分析。为了解决模糊测试过程的效率及测试力度等问题,提出了软件漏洞模糊测试的关键分支探索及热点更新算法。该方法通过捕获、分析和利用受检程序在处理测试用例时的执行位置的关键信息,以指导模糊测试过程的探索方向和测试用例的生成。实验结果表明,提出的方法相较于传统随机发散的模糊测试方法在漏洞发现能力上有较大提升,在Otfcc、Swftools等14个开源程序中发现了100余个未被公布的漏洞,为模糊测试用于软件漏洞检测提供了新的可靠途径。