Pixel level image fusion scheme based on accumulated gradient and PCA transform

A new image fusion scheme based on local accumulated gradient and PCA transform is presented. The image fusion process begins by taking the Dual tree complex wavelet transform of the source images. Then, the fused local detailed coefficients are chosen according to local accumulated gradient rule, and the fused approximate coefficients are acquired by selection or averaging rule based on PCA. Finally, the fused image can be obtained by taking the inverse dual tree complex wavelet transform of the fused composite coefficients. The experimental results show that the proposed method is an efficient approach to image fusion.     

Granular Rough Theory: A representation semantics oriented theory of roughness

The present work is an archival paper for a series of contributions proposed in last few years on building a theory of roughness over pure mereological relations among information granules. There are five major efforts taken in the present paper: (1) emphasizing on the representational semantics of theory of roughness: to approximately represent a class of entities characterized by some aspects in terms of entity collections described at other aspects; (2) defining a representation model Granular Representation Calculus (GrRC) to synthesize complex information systems from information granules; (3) establishing notion of Granular Rough Theory (GrRT) over information granules operated in terms of GrRC; (4) extending GrRC/GrRT to various computational environments such as multi-agent systems and ontological computing environments; (5) exploring pragmatic aspects of GrRC/GrRT in implementing prototypes with data model and object programming orientations, and proposing an Ontology-Driven Web Information System as a granular-rough computational Web intelligence framework over GrRC/GrRT.     

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors

It is estimated that 70% or more of broadband bandwidth is consumed by transmitting music, games, video and other content through Peer-to-Peer (P2P) clients. In order to detect, identify, and manage P2P traffic, some port, payload and transport layer feature based methods were proposed. Most of them were applied to offline traffic classification mainly due to the performance reason. In this paper, a network processors (NPs) based online hybrid traffic classifier is proposed. The designed hardware classifier is able to classify P2P traffic based on the static characteristic namely on line speed, and the Flexible Neural Tree(FNT) based software classifier helps learning and selecting P2P traffic attributes from the statistical characteristics of the P2P traffic. Experiment results illustrate that the hybrid classifier performs well for online classification of P2P traffic from gigabit network. The proposed framework also depicts good expansion capabilities to add new P2P features and to adapt to new P2P applications online.     

网格环境下的安全问题研究

网格安全问题是网格的核心问题之一。分析了网格安全问题的特点、安全需求及其研究现状,对现有一些主要的网格安全技术在密码技术、访问控制等方面进行了讨论,最后分析了GSI的安全实现。     

“智能科学技术导论”课程教学模式新思考

本文探讨了"智能科学技术导论"课程的教学重点和教学模式,指出本课程作为"智能科学与技术"专业的重要基础课程,应以专业特点和要求为出发点,建立新型的教学模式,培养学生的独立思考能力、创新能力和实践能力。     

Collective motion in non-reciprocal swarms

This paper studies a non-reciprocal swarm model that consists of a group of mobile autonomous agents with an attraction-repulsion function governing the interaction of the agents. The function is chosen to have infinitely large values of repulsion for vanishing distance between two agents so as to avoid occurrence of collision. It is shown analytically that under the detailed balance condition in coupling weights, all the agents will aggregate and eventually form a cohesive cluster of finite size around the weighted center of the swarm in a finite time. Moreover, the swarm system is completely stable, namely, the motion of all agents converge to the set of equilibrium points. For the general case of non-reciprocal swarms without the detailed balance condition, numerical simulations show that more complex self-organized oscillations can emerge in the swarms. The effect of noise on collective dynamics of the swarm is also examined with a white Gaussian noise model.     

Output regulation of nonaffine nonlinear systems using singular perturbation theory

A control synthesis method for output regulation based on singular perturbation theory combined with inverting design is considered for a class of nonaffine nonlinear systems. The resulting control signal is defined as a solution to ＂fast＂ dynamics which inverts a series error model, whose state is exponentially stable. It is shown that, under sufficient conditions being consistent with the assumptions of singular perturbation theory, this problem is solvable with （ε） tracking error if and only if a set of first-order nonlinear partial differential equations are solvable. The control law can be easily constructed and the simulations show the feasibility and effectiveness of the controller.     

FPGA技术在数字演播室传输系统中的应用

随着高清技术的不断进步与发展,数字箱载演播室也在向着高清的应用发展。然而由于高清视频码流的高速率,传统的三同轴传输技术不再适应。光纤传输是一个选择,但是光纤不仅成本高,而且在移动中比较容易损坏。对于一些低成本用户,光纤技术显然是不适用的。文章提出了一种经济适用的传输方式,传输质量也满足演播室的要求。这种传输方式在FPGA中都已经得到实现。系统运行稳定、音视频质量好且成本低。     

一种基于完全独立集的排课算法

班级、教师、课程、教室、时间是课表的基本要素,通过把排课转化为求图的完全独立集,解决了时间冲突问题和合班课问题;根据教室资源限制,对独立集的个数和大小进行控制,解决了教室完全匹配问题和一门课程的不同教室安排问题.为实现排课软件提供了一个面向实际的算法.     

基于RS-485总线的多电机同步控制系统研究

随着工业生产线的日趋庞大和复杂,传统的单轴控制由于受电机功率的制约已逐渐无法满足工业自动化生产的需要.为了节约成本,提高运行的可靠性,使用多台电机协调驱动共同的负载已成为一种发展趋势.文中以某型制瓶机为背景,介绍了基于RS-485总线和变频调速的多电机同步控制技术.描述了系统的硬件配置和软件实现方法.采用PIC24FJ64单片机为控制器,EV1000变频器驱动同步电机,实现电机的速度和相位同步.在实际应用中能够很好地满足生产需要和工艺的要求.