30275519
Traffic Intelligent Optimization and Local Traffic-Flow Control Inside Shanghai-EXPO-Area
37911723
The Research of Complex System Modeling Based on Fractal Conception
45515067
Evaluation Mode Research on Particle Swarm Optimization Algorithm
17864128
Traffic Localizing Strategy for Peer-to-Peer Systems
Topology mismatching problem between peer-to-peer overlay network and physical underlying network brings great stress to Internet infrastructure. This paper proposes a traffic localizing strategy (TLS), it keeps scalability property of current DHT algorithms and improves system routing performance by partitioning DHT key space associating with local physical information. Experiments based on CAN model show that the traffic localizing strategy can significantly alleviate the backbone link traffic burden. Meanwhile, the average routing hops are reduced.
28662296
A Service Oriented Implementation of Distributed Status Monitoring and Fault Diagnosis Systems
The service-oriented architecture (SOA) can greatly improve the collaboration of devices in a distributed environment. With this architecture, human can be liberated from the burdensome configuration and management of distributed systems, especially when the nodes of the systems are dynamically changed. In this paper, we present a method to implement service-oriented distributed systems in industry. As a case study, we present a service-oriented Status Monitoring and Fault Diagnosis Systems (SMFDS) for large equipment. Our work is based on the UPnP (Universal Plug and Play) technology. Through abstracting the interfaces of devices and providing service middleware in an independent thread or process, the SOA can be easily implemented on an existing system with the least modifications. This characteristic is very useful when upgrading an existing system, for cost and risk consideration.
14309178
A New Rights Processing Method for DRM Systems
There are many solutions and standards about digital rights management(DRM) now. Almost all the solutions used cryptography and rights processing technologies to protect contents. Only legal users can decrypt and enjoy contents under the control of rights information, illegal users are prohibited. Rights processing technologies include rights expression languages (REL), binary encoding method, virtual machine, and so on. ODRL (Open Digital Rights Language) and XrML (eXtensible Markup Language) are all RELs, which express rights based on XML. Broadcasting flag encodes copy control information into binary data block. Marlin DRM uses Plankton virtual machine to process rights information. In this paper, we provided a rights processing method which is based on ASN.1(Abstract Syntax Notation One) syntax and using ASN.1 distinguishable encoding rule (DER) to encode rights information into binary data block. Compared with RELs, this rights processing method uses less bits to express rights information and can save more bandwidth during transmission. And it can express more rights information than broadcast flag.
11142145
An Optimal Design Method for De-synchronous Circuit Based on Control Graph
De-synchronous is a very useful method to design asynchronous circuit automatically from synchronous description of circuits. This paper introduces an optimal design method based on Control Graph which is an abstract model of the de-synchronous circuit. The main purpose of this optimal design method is to reduce the extra overhead in the area of the de-synchronous circuit. The optimization algorithm takes the performance evaluation function based on the Control Graph of the de-synchronous circuit as its heuristic function. The performance evaluation function presented in this paper is a linear programming problem. In the end of this paper, the optimal method is applied to a set of benchmark circuits. The number of the local controllers in these circuits is markedly reduced by 54%, and the number of C-elements that is required to construct the handshake circuitry between local controllers is also reduced by 76.3%. So the entire area of the circuit is sharply reduced. Because this design method is directed by the performance evaluation function of the circuit, there is no penalty in performance of the de-synchronous circuit.
17154425
Background Subtraction using Incremental Subspace Learning
Background modeling and subtraction is a basic component of many computer vision and video analysis applications. It has a critical impact on the performance of object tracking and activity analysis. In this paper, we propose an effective and adaptive background modeling and subtraction approach that can deal with dynamic scenes. The proposed approach uses a subspace learning method to model the background and the subspace is updated on-line with a sequential Karhunen-Loeve algorithm. A linear prediction model is also used to make the detection more robust. Experimental results show that the proposed approach is able to model the background and detect moving objects under various type of background scenarios with close to real-time performance.