基于人工免疫网络和模糊C-均值聚类的入侵检测方法

针对入侵检测方法中模糊C-均值(FCM)聚类算法对初始值敏感和要求输入聚类数目的缺点,把人工免疫网络算法用于FCM聚类算法,提出了一种基于人工免疫网络和模糊C-均值的入侵检测方法.通过KDD_CUP1999数据集仿真试验,与FCM算法相比,该算法提高了检测率,降低了误警率.实验结果表明,该方法能够有效地检测网络中的入侵行为.     

Profibus-DP数据显示从站设计

用于设备级控制系统与分散式I/O通信的Profibus-DP是市场占有率绝对领先的总线技术.设计了一种基于西门子的SPC3的Profibus-DP的数据显示智能从站,详细分析了从站的硬件及软件结构,研究并解决了RS485通信现场设备与Profibus-DP现场总线通信问题.测试实验采用基于PC加软PLC构成Profibus-DP 1类主站,数据显示单元做从站,通过在PC机上监控Profibus通信报文的方法,成功验证了此显示单元模块能和西门子的设备进行互连,符合Profibus-DP标准.     

J2ME移动远程控制应用的研究

讨论采用J2ME技术实现移动远程控制应用的方法.方法在手机端采用MIDP里的HttpConnection接口技术,PC端采用Servlet技术,并实现了手机对PC机的远程控制.方法可运用于智能居家、家电信息化等,推动物联网发展普及.     

Improving job scheduling performance with parallel access to replicas in Data Grid environment

Data Grid has evolved to be the solution for data-intensive applications, such as High Energy Physics (HEP), astrophysics, and computational genomics. These applications usually have large input of data to be analyzed and these input data are widely replicated across Data Grid to improve the performance. The job scheduling performance on traditional computing jobs can be studied using queuing theory. However, with the addition of data transfer, the job scheduling performance is too complex to be modeled. In this research, we study the impact of data transfer on the performance of job scheduling in the Data Grid environment. We have proposed a parallel downloading system that supports replicating data fragments and parallel downloading of replicated data fragments, to improve the job scheduling performance. The performance of the parallel downloading system is compared with non-parallel downloading system, using three scheduling heuristics: Shortest Turnaround Time (STT), Least Relative Load (LRL) and Data Present (DP). Our simulation results show that the proposed parallel download approach greatly improves the Data Grid performance for all three scheduling algorithms, in terms of the geometric mean of job turnaround time. The advantage of parallel downloading system is most evident when the Data Grid has relatively low network bandwidth and relatively high computing power.     

New robust stability analysis for genetic regulatory networks with random discrete delays and distributed delays

This paper investigates the delay-probability-distribution-dependent stability problem of stochastic genetic regulatory networks (GRNs) with random discrete time delays and distributed time delays which exist in both translation process and feedback regulation process. The information of the probability distribution of the discrete time delays is considered and transformed into parameter matrices of the GRN models. By introducing a new Lyapunov functional which takes into account the ranges of delays and employing some free-weighting matrices, some new delay-probability-distribution-dependent stability criteria are established in the form of linear matrix inequalities (LMIs) to guarantee the GRNs to be asymptotically stable in the mean square. In addition, when estimating the upper bounds of the derivative of Lyapunov functionals, we carefully handle the additional useful terms about the distributed delays, which may lead to the less conservative results. The new criteria are applicable to both slow and fast time delays. Finally, numerical examples are given to illustrate the effectiveness of our theoretical results and less conservativeness of the proposed method.     

一种求解Ramsey数的DNA计算机算法

Ramsey理论是组合数学中一个庞大而又丰富的领域,在集合论、逻辑学、分析以及代数学上具有极重要的应用.Ramsey数的求解是非常困难的,迄今为止只求出9个Ramsey数的准确值.探讨了DNA生物分子超级计算在求解这一困难数学问题的可能性.将Adleman-Lipton模型生物操作与粘贴模型解空间相结合的DNA计算模型...     

Real time falling animation with active and protective responses

Combined with motion capture and dynamic simulation, characters in animation have realistic motion details and can respond to unexpected contact forces. This paper proposes a novel and real-time character motion generation approach which introduces a parallel process, and uses an approximate nearest neighbor optimization search method. Besides, we employ a support vector machine (SVM), which is trained on a set of samples and predicts a subset of our ‘return-to’ motion capture (mocap) database in order to reduce the search time. In the dynamic simulation process, we focus on designing a biomechanics based controller which detects the balance of the characters in locomotion and drives them to take several active and protective responses when they fall to the ground in order to reduce the injuries to their bodies. Finally, we show the time costs in synthesis and the visual results of our approach. The experimental results indicate that our motion generation approach is suitable for interactive games or other real-time applications.     

Fragment-based responsive character motion for interactive games

Fragment-based character animation has become popular in recent years. By stringing appropriate motion capture fragments together, the system drives characters responding to the control signals of the user and generates realistic character motions. In this paper, we propose a novel, straightforward and fast method to build the control policy table, which selects the next motion fragment to play based on the current user’s input and the previous motion fragment. During the synthesis of the control policy table, we cluster similar fragments together to create several fragment classes. Dynamic programming is employed to generate the training samples based on the control signals of the user. Finally, we use a supervised learning routine to create the tabular control policy. We demonstrate the efficacy of our method by comparing the motions generated by our controller to the optimal controller and other previous controllers. The results indicate that although a reinforcement learning algorithm known as value iteration also creates the tabular control policy, it is more complex and requires more expensive space–time cost in synthesis of the control policy table. Our approach is simple but efficient, and is practical for interactive character games.     

Students’ perceptions of teaching technologies, application of technologies, and academic performance

This study examined business students’ perceptions of four objectives (i.e., Enjoyment, Learning, Motivation, and Career Application) across five teaching technologies (i.e., Projector, PowerPoint, Video, the Internet, and Lecture), business professors’ effective application of technologies, and students’ academic performance. We collected data from 215 students at a regional state university in the USA. We developed Students’ Perceptions of Technology Scale, SPOTS, specifically for the present study, used the most rigorous criteria, and investigated reliability, convergent and discriminant validity, exploratory and confirmatory factor analysis, and measurement invariance of this scale. Mean scores revealed that Video conveyed the highest amount of Enjoyment. PowerPoint provided the highest amount of Learning and Motivation. The Internet provided the highest Career Application for future jobs. Younger students preferred Video, whereas older students favored Lecture. Regression results showed that the use of Video for Learning, Projector and Lecture for Enjoyment, PowerPoint for career and Motivation, and the Internet for Learning contributed to professors’ teaching effectiveness. Students’ high ratings for professors’ effective use of the Lecture method and low expectation for the use of a Projector predicted their self-reported GPA (academic performance). Professors may use a different mix of technologies in the classroom and use them creatively in order to promote the most Learning for students and satisfy students’ Learning needs and objectives.