基于VB.NET的高校公寓管理系统的设计与实现

高校学生公寓管理工作的水平直接关系到学生工作的质量。结合镇江高等专科学校的实际情况,开发了学生公寓管理系统,使得学生公寓管理全面实现信息化,公寓管理效率得以提高。     

Surface functionalization by smart coatings: Stimuli-responsive binary polymer brushes

Heterogeneous binary polymer brushes consist of an assembly of polymer chains of two incompatible polymers that are attached by one end to the surface with sufficient grafting density. They have been investigated experimentally only for a short time. Those brushes can be used in the form of ultrathin polymeric layers as a versatile tool for surface engineering to tune physico-chemical surface characteristics as wettability, surface charge, chemical composition or morphology, and furthermore to create switchable and responsive surface properties. For the fabrication of these layers “grafting-from” (as radical polymerization at the interface) and “grafting-to” (as tethering of the polymer chains from solution) methods were developed and investigated in detail.     

基于智能设备的移动学习平台设计

该文首先介绍了基于智能设备的移动学习平台的总体设计目标和系统架构,然后分析了主要开发技术,最后实现了移动学习平台的开发。     

基于B/S模式的高压配电网GIS的研究与开发

高压配电网GIS是一个基于MapInfo的图形平台.为了使电力设备及电网分布的各种图形、地图、属性信息统一管理并达到共享,采用Web方式进行输配电线路的空间管理,实现了供电企业的智能化业务管理.     

智能天线中变步长LMS自适应波束形成算法研究

波束形成算法是智能天线研究的核心内容,可以使天线有效地接收期望信号并抑制干扰信号,但各种算法均存在计算量大、收敛速度慢、稳态误差大等缺点.为提高系统性能,提出了一种改进的变步长LMS自适应波束形成算法,其步长因子由上一步长因子和自相关误差共同确定.对新算法的性能进行了理论分析,并推导了确保算法收敛的参数α的取值范围.计算机仿真结果与理论分析一致,与现有的变步长算法相比,新的变步长LMS算法具有较快的收敛速度、较小的稳态误差以及较低的算法复杂度,非常适用于智能天线波束形成问题.     

An intelligent driver location system for smart parking

It is often frustrating for drivers to find parking spaces, and parking itself is costly in almost every major city in the world. Here we propose a crowdsourcing solution by exploiting sensors in smart-phones to collect real-time parking availability information. We design a phone-based system to track a driver’s trajectory to detect when they are about to leave their parking spot. We focus on the efficiency and accuracy of using a phone to monitor the driver’s walking trajectory, applying a waist-mounted PDR method that can measure the driver’s moving distance with a high accuracy. In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widely-available building floor plans. The results of our experiment show that we can achieve about 98% accuracy in estimating the user’s walking distance, with an overall location error of about 0.48 m.     

A secure user anonymity-preserving biometric-based multi-server authenticated key agreement scheme using smart cards

Advancement in communication technology provides a scalable platform for various services, where a remote user can access the server from anywhere without moving from its place. It provides a unique opportunity for online services such that a user does not need to be physically present at the service center. These services adopt authentication and key agreement protocols in order to ensure authorized and secure access to the resources. Most of the authentication schemes proposed in the literature support a single-server environment, where the user has to register with each server. If a user wishes to access multiple application servers, he/she requires to register with each server. The multi-server authentication introduces a scalable platform such that a user can interact with any server using single registration. Recently, Chuang and Chen proposed an efficient multi-server authenticated key agreement scheme based on a user’s password and biometrics (Chuang and Chen, 2014). Their scheme is a lightweight, which requires the computation of only hash functions. In this paper, we first analyze Chuang and Chen’s scheme and then identify that their scheme does not resist stolen smart card attack which causes the user’s impersonation attack and server spoofing attack. We also show that their scheme fails to protect denial-of-service attack. We aim to propose an efficient improvement on Chuang and Chen’s scheme to overcome the weaknesses of their scheme, while also retaining the original merits of their scheme. Through the rigorous informal and formal security analysis, we show that our scheme is secure against various known attacks including the attacks found in Chuang and Chen’s scheme. Furthermore, we simulate our scheme for the formal security verification using the widely-accepted AVISPA (Automated Validation of Internet Security Protocols and Applications) tool and show that our scheme is secure against the replay and man-in-the-middle attacks. In addition, our scheme is comparable in terms of the communication and computational overheads with Chuang and Chen’s scheme and other related existing schemes.     

Active learning strategy for smart soft sensor development under a small number of labeled data samples

This contribution proposes a new active learning strategy for smart soft sensor development. The main objective of the smart soft sensor is to opportunely collect labeled data samples in such a way as to minimize the error of the regression process while minimizing the number of labeled samples used, and thus to reduce the costs related to labeling training samples. Instead of randomly labeling data samples, the smart soft sensor only labels those data samples which can provide the most significant information for construction of the soft sensor. In this paper, without loss of generality, the smart soft sensor is built based on the widely used principal component regression model. For performance evaluation, an industrial case study is provided. Compared to the random sample labeling strategy, both accuracy and stability have been improved by the active learning strategy based smart soft sensor.     

一个面向智能电视高质量网络多媒体应用的多媒体软件平台

智能电视存在高质量的网络多媒体应用多、计算资源少、更新周期长以及硬件平台多样化等问题。针对这些问题,提出一个面向智能电视高质量网络多媒体应用的多媒体软件平台(STVMP)。STVMP可以与嵌入式Linux内核整合形成面向智能电视的操作系统,利用硬件ASIC平台支持多样化的网络多媒体应用,同时保证服务质量。实验证明该平台支持例如IPTV、VOD和数据广播等目前主流的网络多媒体应用,跨平台性强,计算资源使用较少。     

Scudware Mobile:支持可穿戴设备间数据及服务协同的移动中间件

随着计算泛在化日益深入,软硬件一体化成为个人电子消费领域的重要趋势,可穿戴设备正成为目前学术界与工业界的研究热点。这些设备虽然具有一定的传感、计算和服务能力,但其接口各异且设备间的协同能力很弱。这就一方面造成了计算和感知能力的浪费,另一方面也无法提供丰富的服务。针对此问题,提出一个支持可穿戴设备间数据及服务协同的移动中间件——Scudware Mobile。Scudware Mobile汇聚了可穿戴设备的数据和服务,并以统一的接口提供给应用层,且引入了设备协同机制。在Scudware Mobile上,实现了两个应用:个人数据门户和shaking ecard。