海洋大气环境下TC4钛合金与316L不锈钢铆接件腐蚀行为研究

研究了TC4-316L异种金属铆接件在模拟海洋大气环境条件下的腐蚀行为。利用失重法、X射线光电子能谱分析(XPS)、扫描电子显微镜(SEM)、激光共聚焦显微镜等方法分析了试样的腐蚀动力学、锈层成分、腐蚀形貌。结果表明,TC4-316L铆接件在周期浸润实验1200 h后,316L不锈钢发生了腐蚀,而TC4钛合金并没有明显的腐蚀现象;316L不锈钢腐蚀产物包含FeOOH,Fe3O4和Fe2O3,而TC4钛合金表面主要为TiO2和Ti2O3等钛的氧化物组成的氧化膜。与单件316L不锈钢相比,由于电偶腐蚀与缝隙腐蚀的共同作用,TC4-316L铆接件中的316L不锈钢腐蚀加速。     

模块主成分分析在人脸重建中的应用

模块主成分分析是人脸重建中一种重要的子空间学习方法,鲁棒性不足是传统的基于L2范数的模块主成分分析(BPCA-L2)的主要问题。为此,提出了一种新的基于L1范数的模块主成分分析(BPCA-L1)方法。该方法使用了对奇异值不太敏感的L1范数。基于L1范数的模块主成分分析方法简单并易于实现,在一些人脸数据集上的重建实验验证了其有效性。     

基于nRF24L01新型无线温度传感系统设计

采用nRF24L01作为无线收发模块实现无线数据传输,使用DS18B20温度传感器采集环境温度,并用ATMEL公司的AT89C52作为主控芯片,协调系统的数据采集、处理、显示及无线传输等过程。温度采集节点能够利用温度传感器稳定地采集周围环境的温度,并通过无线模块将数据传送到接收节点,显示到LCD上。该设计具有性能稳定、成本低、低功耗等特点,能够广泛应用于各类对温度要求较为特殊的环境下温度数据的检测。     

基于nRF24L01的智能家居网络的设计

智能家居是当前物联网的主要应用之·,当前采用的技术主要有ZigBee和Z—Wave技术。然而,ZigBee器件成本昂贵,Z-Wave技术是非开发式标准,存在系统的兼容性问题。针对上述问题,文中提出了基于NRF24L01实现智能家居系统的解决方案。同时详细地介绍了智能家居系统的框架和通信协议,并给出了可行的解决方法。最终测试结果表明,使用nrf24L01是一套低成本的智能家居解决方案,可进一步推进智能家居的应用。     

Sparse kernel logistic regression based on L 1/2 regularization

The sparsity driven classification technologies have attracted much attention in recent years, due to their capability of providing more compressive representations and clear interpretation. Two most popular classification approaches are support vector machines (SVMs) and kernel logistic regression (KLR), each having its own advantages. The sparsification of SVM has been well studied, and many sparse versions of 2-norm SVM, such as 1-norm SVM (1-SVM), have been developed. But, the sparsification of KLR has been less studied. The existing sparsification of KLR is mainly based on L ₁ norm and L ₂ norm penalties, which leads to the sparse versions that yield solutions not so sparse as it should be. A very recent study on L _1/2 regularization theory in compressive sensing shows that L _1/2 sparse modeling can yield solutions more sparse than those of 1 norm and 2 norm, and, furthermore, the model can be efficiently solved by a simple iterative thresholding procedure. The objective function dealt with in L _1/2 regularization theory is, however, of square form, the gradient of which is linear in its variables (such an objective function is the so-called linear gradient function). In this paper, through extending the linear gradient function of L _1/2 regularization framework to the logistic function, we propose a novel sparse version of KLR, the 1/2 quasi-norm kernel logistic regression (1/2-KLR). The version integrates advantages of KLR and L _1/2 regularization, and defines an efficient implementation scheme of sparse KLR. We suggest a fast iterative thresholding algorithm for 1/2-KLR and prove its convergence. We provide a series of simulations to demonstrate that 1/2-KLR can often obtain more sparse solutions than the existing sparsity driven versions of KLR, at the same or better accuracy level. The conclusion is also true even in comparison with sparse SVMs (1-SVM and 2-SVM). We show an exclusive advantage of 1/2-KLR that the regularization parameter in the algorithm can be adaptively set whenever the sparsity (correspondingly, the number of support vectors) is given, which suggests a methodology of comparing sparsity promotion capability of different sparsity driven classifiers. As an illustration of benefits of 1/2-KLR, we give two applications of 1/2-KLR in semi-supervised learning, showing that 1/2-KLR can be successfully applied to the classification tasks in which only a few data are labeled.     

基于nRF24L01、单片机的小区远距离无线传呼

介绍了基于nRF24L01无线通信模块实现远距离传呼,将传呼信号经过单片机处理,通过无线模块发送数据,另外一个无线模块接收数据并通过单片机处理,实现传呼及显示呼叫所在楼层。     

基于nRF24L01的主动式电子标签的设计

本文提出一种2.4G主动式RFID标签结构,设计了硬件电路及相关软件,克服被动式RFID标签识别距离短,不稳定的缺点。在主动式标签的设计中,采用低功耗单片机和射频芯片,减小标签体积。实验表明:该型标签具有扩展方便、低功耗、可靠性高的特点。     

Two proposals for the inclusion of directory information in the last-level private caches of glueless shared-memory multiprocessors

In glueless shared-memory multiprocessors where cache coherence is usually maintained using a directory-based protocol, the fast access to the on-chip components (caches and network router, among others) contrasts with the much slower main memory. Unfortunately, directory-based protocols need to obtain the sharing status of every memory block before coherence actions can be performed. This information has traditionally been stored in main memory, and therefore these cache coherence protocols are far from being optimal. In this work, we propose two alternative designs for the last-level private cache of glueless shared-memory multiprocessors: the lightweight directory and the SGluM cache. Our proposals completely remove directory information from main memory and store it in the home node’s L2 cache, thus reducing both the number of accesses to main memory and the directory memory overhead. The main characteristics of the lightweight directory are its simplicity and the significant improvement in the execution time for most applications. Its drawback, however, is that the performance of some particular applications could be degraded. On the other hand, the SGluM cache offers more modest improvements in execution time for all the applications by adding some extra structures that cope with the cases in which the lightweight directory fails.     

AutoSyn: A new approach to automated synthesis of composite web services with correctness guarantee

How to compose existing web services automatically and to guarantee the correctness of the design(e.g. freeness of deadlock and unspecified reception,and temporal constraints) is an important and challenging problem in web services. Most existing approaches require a detailed specification of the desired behaviors of a composite service beforehand and then perform certain formal verification to guarantee the correctness of the design,which makes the composition process both complex and time-consuming. In th...