Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information

Neural Computing and Applications - RNA-binding proteins play an important role in the biological process. However, the traditional experiment technology to predict RNA-binding residues is...     

A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition

Neural Computing and Applications - In real-world application of affective brain–computer interface (aBCI), individual differences across subjects and non-stationary characteristics of...     

云存储安全增强系统的设计与实现

云存储是一种新型的网络存储形式,并逐步为大家所接受,企业和个人用户都开始使用云存储作为其网络存储媒介。目前很多著名的IT企业都推出了云存储服务,其中Amazon公司推出的SimpleStorageService（S3）就是商用云存储服务的典型代表。随着云存储的广泛使用,云存储中数据的安全问题,如数据泄漏和数据篡改,也成了用户广泛关注的问题。文章基于Amazons3的云存储服务,设计并实现了一款云存储安全增强系统,对用户上传至Amazons3的数据进行加密保护,使得文件以密文形式存储于Amazons3,可以有效防止数据在传输和存储过程中的泄漏;同时系统还对从s3下栽的文件进行完整性校验,检测其内容与上传时是否一致,以防止文件被篡改;最后,系统还提供了多用户访问控制支持,多个用户可以共享同一个S3账号,同时保证各自存储的内容互相隔离,禁止一个用户非授权访问其他用户存储的文件。     

配电网短路故障分析及其识别方法研究

分析了在不同中性点接地方式下单相接地和两相短路接地故障的相电压及中性点电压变化特征,结合三相短路和两相短路的故障特征,提出了完整的配电网短路故障识别方法。仿真结果表明,该方法具有采集的模拟量少、判据简单、运算简便的优点,具有一定的实用价值。     

一种雷达和摄像机的空间标定方法

多传感器融合技术已经广泛应用在智能汽车环境感知领域中;雷达和摄像机的空间标定是伴随信息实时融合的道路检测技术的基础;结合智能汽车的实际应用,提出了针对激光雷达和摄像机的空间标定方法;通过特制的标定板来获得雷达数据和图像数据,选取激光雷达坐标系作为世界坐标系,通过参数拟合的方法来求取图像坐标系与雷达坐标系的变换关系,进而实现两种传感器的空间配准;该方法只需要标定板就能够完成激光雷达和摄像机的空间标定,标定精度高,实现了多个传感器世界坐标系的统一,避免了后续处理中数据解释的二义性;实验结果表明这种方法简单准确,满足系统要求。     

思科平台与高职网络专业课程建设的结合点研究

本文笔者结合自身工作分析了传统高职网络专业课程体系开设中存在的问题,阐述了笔者所在网络专业基于思科平台进行课程体系改革的举措,旨在为广大高职网络教育人在专业建设上提供些许参考。     

基于WebGIS井下WSN定位数据分析与管理平台设计与开发

在煤矿井下WSN定位跟踪应用中,目标区域通常布置较多的传感器节点,这些节点布置以后,没有人为看管,且受环境影响大,易于出错;文中将针对WSN在煤矿井下的定位应用,利用WebGIS技术开发一种煤矿井下传感器节点分布、链路状态以及移动目标运动轨迹可视化显示的网络数据分析与管理平台;实验结果表明,通过该平台可以远程利用Web浏览器方便、快捷地管理和维护WSN,使WSN在煤矿井下发挥强大生命力。     

雾天车牌识别中的图像增强研究

通过对车牌图像的研究与分析,提出了一种针对雾天车牌识别系统图像增强预处理的方法。该方法是在车牌图像的预处理过程中,采用了先进的暗原色先验去雾算法,对采集到的雾天车牌图像有很好的增强效果。实验结果验证该算法对雾天的车牌图像的识别率有很大的提高。     

Augmented Lyapunov functional approach for stability of neutral systems with mixed delays

This paper is concerned with the neutral‐delay‐dependent and discrete‐delay‐dependent stability for uncertain neutral systems with mixed delays and norm‐bounded uncertainties. Through constructing a new augmented Lyapunov‐Krasovskii functional and proving its positive definiteness, introducing some slack matrices and using integral inequality, the improved delay‐dependent stability criteria are derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the significant improvement on the conservatism of the delay bound over some existing results. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Feedback predictive control for constrained fuzzy systems with Markovian jumps

In this paper, a feedback model predictive control method is presented to tackle control problems with constrained multivariables for uncertain discrete‐time nonlinear Markovian jump systems. An uncertain Markovian jump fuzzy system (MJFS) is obtained by employing the Takagi‐Sugeno (T‐S) fuzzy model to represent a discrete‐time nonlinear system with norm bounded uncertainties and Markovain jump parameters. To achieve more generality, the transition probabilities of the Markov chain are assumed to be partly unknown and partly accessible. The predictive formulation adopts an on‐line optimization paradigm that utilizes the closed‐loop state feedback controller and is solved using the standard semi‐definite programming (SDP). To reduce the on‐line computational burden, a mode independent control move is calculated at every sampling time based on a stochastic fuzzy Lyapunov function (FLF) and a parallel distributed compensation (PDC) scheme. The robust mean square stability, performance minimization and constraint satisfaction properties are guaranteed under the control move for all admissible uncertainties. A numerical example is given to show the efficiency of the developed approach. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society