Support vector machine classification over encrypted data

Applied Intelligence - Support vector machine is one of the most extensively used machine learning algorithms. A typical application scenario of support vector machine classification is the...     

基于温度补偿的低电阻测试仪校准

本文介绍了带温度补偿的低电阻测试仪的校准方法。     

Estimating Construction Material Indices with ARIMA and Optimized NARNETs

Construction Industry operates relying on various key economic indicators. One of these indicators is material prices. On the other hand, cost is a key concern in all operations of the construction industry. In the uncertain conditions, reliable cost forecasts become an important source of information. Material cost is one of the key components of the overall cost of construction. In addition, cost overrun is a common problem in the construction industry, where nine out of ten construction projects face cost overrun. In order to carry out a successful cost management strategy and prevent cost overruns, it is very important to find reliable methods for the estimation of construction material prices. Material prices have a time dependent nature. In order to increase the foreseeability of the costs of construction materials, this study focuses on estimation of construction material indices through time series analysis. Two different types of analysis are implemented for estimation of the future values of construction material indices. The first method implemented was Autoregressive Integrated Moving Average (ARIMA), which is known to be successful in estimation of time series having a linear nature. The second method implemented was Non-Linear Autoregressive Neural Network (NARNET) which is known to be successful in modeling and estimating of series with non-linear components. The results have shown that depending on the nature of the series, both these methods can successfully and accurately estimate the future values of the indices. In addition, we found out that Optimal NARNET architectures which provide better accuracy in estimation of the series can be identified/discovered as result of grid search on NARNET hyperparameters.     

High-Quality Brewster's Angle Polarizer for Broadband Infrared Application

We have designed and constructed a linear polarizer for use with visible and infrared radiation. The broadband polarizer consists of four germanium plates arranged in a chevron geometry. Input radiation is incident near Brewster's angle for the first plate such that the reflected beam is preferentially s-wave polarized. This reflected beam is steered subsequently to the successive plates, always intersecting near Brewster's angle. The beam polarization at the output of the device is almost completely s-wave polarized. The ratio of the paraxial flux of the nearly extinguished p-wave polarized light to the s-wave polarized light transmitted through the device is found to be less than 10(-5) for laser illumination at wavelengths of 0.633, 1.32, 3.39, and 10.6 mum. Calculations predict that extinction ratios less than 10(-5) are achievable over the wavelength range from 0.4 mum to beyond 500 mum. Alternative design geometries involving fewer plates are also described along with their advantages and disadvantages.     

基于FPGA的新型高速CCD图像数据采集系统

介绍一种基于Actel公司Fusion StartKit FPGA的线阵CCD图像数据采集系统。以FPGA作为图像数据的控制和处理核心,通过采用高速A/D、异步FIFO、UART以及电平转换、放大滤波、二值化电路和光学系统实现对图像数据的信号处理,并运用Visual Studio C++和Microsoft公司的基本类库MFC实现对采集数据的显示、绘图、传输控制等。利用搭建的系统平台实现对物体尺寸的测量,通过对所得的数据进行分析处理,明确测量的精度和可以达到的水平。对该系统在实时监控中的优点进行分析。     

Preface

Natural Language Processing(NLP) is a field of computer science and linguistics concerning the interactions between computers and human(natural) languages.There have been sufficient successes in the past decades in this area,which suggest that NLP is now and will continue to be a major area of computer sciences and information technologies. The goal of this special section is to present high-quality contributions that explicate reasoning involved in different areas of NLP both at theoretical and practical levels.The special section has received enthusiastic     

实时操作系统内核时间参数的测量

以评价实时操作系统性能为目标,重点对时间参数的测量方法进行了研究,并以华东计算技术研究所开发的ReWorks系统为评测对象,介绍了ReWorks的时间参数测量方法,给出了部分测试示例代码.     

Analyses and improvement of a broadcasting multiple blind signature scheme based on quantum GHZ entanglement

A broadcasting multiple blind signature scheme based on quantum GHZ entanglement has been presented recently. It is said that the scheme’s unconditional security is guaranteed by adopting quantum key preparation, quantum encryption algorithm and quantum entanglement. In this paper, we prove that each signatory can get the signed message just by an intercept–resend attack. Then, we show there still exist some participant attacks and external attacks. Specifically, we verify the message sender Alice can impersonate each signatory to sign the message at will, and so is the signature collector Charlie. Also, we demonstrate that the receiver Bob can forge the signature successfully, and with respect to the external attacks, the eavesdropper Eve can modify the signature at random. Besides, we discover Eve can change the signed message at random, and Eve can impersonate Alice as the message sender without being discovered. In particular, we propose an improved scheme based on the original one and show that it is secure against not only the attacks mentioned above but also some collusion attacks.     

Global adaptive stabilization for high‐order uncertain time‐varying nonlinear systems with time‐delays

This paper focuses on the adaptive stabilization problem for a class of high‐order nonlinear systems with time‐varying uncertainties and unknown time‐delays. Time‐varying uncertain parameters are compensated by combining a function gain with traditional adaptive technique, and unknown multiple time‐delays are manipulated by the delicate choice of an appropriate Lyapunov function. With the help of homogeneous domination idea and recursive design, a continuous adaptive state‐feedback controller is designed to guarantee that resulting closed‐loop systems are globally uniformly stable and original system states converge to zero. The effectiveness of the proposed control scheme is illustrated by the stabilization of delayed neural network systems. Copyright © 2016 John Wiley & Sons, Ltd.     

基于TNC架构的可信USB存储设备管理研究

网络和移动存储设备是传播安全威胁的两个主要途径.文章介绍了TNC的体系结构和设计原理,并对TNC进行扩充,给出了一种可信USB存储设备管理方案,与TNC架构结合在一起,形成了更为完善的可信体系,从源头上阻止了网络和移动存储设备带来的安全威胁.