具有消息恢复的指定验证者的代理盲签名

设计了一种新的具备消息恢复特性的指定验证者的代理盲签名方案.方案的安全性建立在椭圆曲线离散对数难解性之上,并对其进行了安全性分析.方案在验证签名过程中,消息可恢复出来.另外,方案节省了信息的传输量,有效地降低成本,有广泛的应用价值.     

自主角色导航技术综述

自主角色导航技术是影响角色行为真实性的关键性因素.通过全面对比分析机器人路径规划、飞行器航路规划、虚拟人足迹规划、自动制导武器制导技术等研究成果,研究可用于角色导航的全局路径规划、局部路径规划所使用的主要算法,简要介绍了各算法的基本原理及优缺点.提出了两种模拟视觉的实现思路,研究了基于模拟视觉的角色仿生导航方法,最后对导航技术的发展作了总结和展望.     

基于ANSYS二次开发的夹层玻璃面板有限元分析

为了准确地计算夹层玻璃面板的受力特性,基于ANSYS二次开发,考虑大位移非线性效应,实现了夹层玻璃面板仿真分析。在有限元分析中充分考虑了PVB(Polyvinyl Butyral)胶片对夹层玻璃面板承载力的影响。同时利用VB平台开发了界面友好,操作便捷,完全参数化的分析程序。通过实例论述了利用VB对ANSYS进行二次开发的关键技术,有效地提高了ANSYS在工程分析中的效率,为幕墙设计人员提供了有益的参考。     

FPN推理模型在上下文感知系统中的应用研究

研究模糊Petri网模型在上下文感知系统中的快速推理算法.针对模糊Petri网的通用推理算法不能解决“或逻辑”问题,提出了模糊Petri网推理算法从变迁开始搜索,区别于通常从库所开始搜索的策略,有效解决了“或逻辑”问题;并在不增加虚库所和虚变迁的前提下对变迁先排序后再进行推理,降低了算法的空间和时间复杂度.最后,对模糊Petri网模型和推理算法进行仿真,实验结果验证了该算法的有效性.     

HCAA:一种哈希冲突过度的动态解决算法

HASH表作为一种快速查询的数据结构,在防火墙等网络安全应用中得到了广泛的应用。然而,攻击者可能通过一些手段对这些应用发动HASH攻击使其失去响应,从而使某些恶意的数据流能够逃脱网络安全应用的管理和控制。提出一种动态的哈希冲突过度的解决算法—HCAA(Hash Collision-Acceptable Algorithm)算法,该算法在哈希冲突过于集中时通过动态申请HASH表并使用不同哈希函数来对冲突数据流进行处理,使冲突在可接受的范围内。实验结果表明,与已有方法相比,HCAA算法能在使用更少HASH表项的情况下获得更均衡的HASH效果,从而能对数据流进行更快的HASH操作。     

A Chinese liquor classification method based on liquid evaporation with one unmodulated metal oxide gas sensor

Electronic nose has been widely used in the classification of liquid samples, such as vinegars, wines and liquors, which have complex components. The difficulty of these classifications is how to get the information of the trace components in these samples. In this paper a method for liquor recognition based on liquid evaporation was presented. This method makes use of the distinct evaporation characteristics of different components in liquor samples. And during the evaporation process, one metal oxide gas sensor was used to detect the headspace of liquor samples for classification. Due to the distinct evaporation characteristics of different components, volatile compounds in the headspace evaporating from samples would change with the testing time. Meanwhile, the gas sensor would respond to these volatile compounds. Accordingly, more information of liquor samples during evaporation may be acquired with the proposed method. To verify the performance of this method, 8 different Chinese liquors with 50% alcohol for comparison were tested under the method. The results showed that the evaporation characteristics of these liquor samples were quite distinct. The correct classification accuracy of discriminant function analysis was 100%, which indicated this method may be a simple and effective way for complex-component liquid sample analysis.     

Research on simulation of ship electric propulsion system with flywheel energy storage system

Flywheel energy storage has been widely used to improve the ground electric power quality. This paper designed a flywheel energy storage device to improve ship electric propulsion system power grid quality. The practical mathematical models of flywheel energy storage and ship electric propulsion system were established. Simulation research on the effect of ship electric propulsion system power quality, made by flywheel energy storage, was completed by using the software Matlab/simulink. We have done a lot of simulation experiments on sudden load of ship integrated electric propulsion system, one system is with flywheel energy storage, another one is not with. Comparing with these simulation results, we can see that the flywheel energy storage designed in this paper has improved ship electric propulsion system network power quality as well as increases the reliability of the ship power grid. The conclusions can provide a theoretical guidance for the design of flywheel energy storage applied in ship integrated electric propulsion system.     

Reliability analysis and optimal version-updating for open source software

Context

Although reliability is a major concern of most open source projects, research on this problem has attracted attention only recently. In addition, the optimal version-dating for open source software considering its special properties is not yet discussed.

Objective

In this paper, the reliability analysis and optimal version-updating for open source software are studied.

Method

A modified non-homogeneous Poisson process model is developed for open source software reliability modeling and analysis. Based on this model, optimal version-updating for open source software is investigated as well. In the decision process, the rapid release strategy and the level of reliability are the two most important factors. However, they are essentially contradicting with each other. In order to consider these two conflicting factors simultaneously, a new decision model based on multi-attribute utility theory is proposed.

Results

Our models are tested on the real world data sets from two famous open source projects: Apache and GNOME. It is found that traditional software reliability models provide overestimations of the reliability of open source software. In addition, the proposed decision model can help management to make a rational decision on the optimal version-updating for open source software.

Conclusion

Empirical results reveal that the proposed model for open source software reliability can describe the failure process more accurately. Furthermore, it can be seen that the proposed decision model can assist management to appropriately determine the optimal version-update time for open source software.     

Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection

In this study, a hierarchical electroencephalogram (EEG) classification system for epileptic seizure detection is proposed. The system includes the following three stages: (i) original EEG signals representation by wavelet packet coefficients and feature extraction using the best basis-based wavelet packet entropy method, (ii) cross-validation (CV) method together with k-Nearest Neighbor (k-NN) classifier used in the training stage to hierarchical knowledge base (HKB) construction, and (iii) in the testing stage, computing classification accuracy and rejection rate using the top-ranked discriminative rules from the HKB. The data set is taken from a publicly available EEG database which aims to differentiate healthy subjects and subjects suffering from epilepsy diseases. Experimental results show the efficiency of our proposed system. The best classification accuracy is about 100% via 2-, 5-, and 10-fold cross-validation, which indicates the proposed method has potential in designing a new intelligent EEG-based assistance diagnosis system for early detection of the electroencephalographic changes.     

电阻抗扫描成像计算机辅助诊断方法研究

为了提高电阻抗扫描成像EISI(Electrical Impedance Scanning Imaging)在乳腺疾病检查方面的准确性,将独立分量方法(ICA)应用于EISI数据的特征提取,并结合支持向量机(SVM)进行乳腺疾病计算机辅助诊断(CAD)。实验结果表明:ICA方法所提取的特征对于乳腺疾病分类是有效的。对于良性肿瘤和恶性肿瘤的鉴别,提出的CAD方法灵敏度为74.2%,特异度为82.8%,准确度为80%。结合所提出的CAD方法和传统的EISI检查方法,可以提高EISI在乳腺疾病检查方面的可靠性,降低假阳性率,避免对良性肿瘤患者进行活检。