15237813
Research on an Immune Mechanism Based Intelligent Spam Filter
With regard to the problem that the traditional antispam filter is usually incapable of recognizing unknown and mutational characters, a novel anti-spam filter based on immune mechanisms is proposed which employs multiple principles and mechanisms of the artificial immune system, such as the self tolerance, immune recognition, immune learning and immune memory. Through combining the idea of intelligent decision support system with the extension of classical rough set theory, a novel algorithm is provided for finding minimal attributes extraction and updating the attributes base. Simulation shows that this technique is able to reduce and improve the availability of the normal anti-spam systems.
12607701
An AIS-Based Service Match Model
Aiming at the problem that self-learning ability of the current system usually appears weak during service discovery, a novel artificial immune system (AIS) based service match model is proposed, which is based on the reference to the principles of cellpsilas mutation, evaluation and the quadratic response abilities, as well as simulation on the antibody-antigen identification mechanism. Theoretical analysis and simulations both show that the model can not only increasing the recall ratio and matching speed, but also realizing the function that deriving similar service request from known service request and then searching the best matching service. Furthermore, this service matching model is able to improve systempsilas adaptive learning, memorizing and dynamic evaluating abilities in service matching process.
14541123
An evolutionary algorithm with population immunity and its application on autonomous robot control
The natural immune system is an important resource full of inspirations for the theory researchers and the engineering developers to design some powerful information processing methods aiming at difficult problems. Based on this consideration, a novel optimal-searching algorithm, the immune mechanism based evolutionary algorithm - IMEA, is proposed for the purpose of finding an optimal/quasi-optimal solution in a multi-dimensional space. Different from the ordinary evolutionary algorithms, on one hand, due to the long-term memory, IMEA has a better capability of learning from its experience, and on the other hand, with the clonal selection, it is able to keep from the premature convergence of population. With the simulation on autonomous robot control, it is proved that IMEA is good at the task of adaptive adjustment (offline), and it can improve the robot's capability of reinforcement learning, so as to make itself able to sense its surrounding dynamic environment.
15857389
A novel genetic algorithm based on immunity
A novel algorithm, the immune genetic algorithm (IGA), is proposed based on the theory of immunity in biology which mainly constructs an immune operator accomplished by two steps: 1) a vaccination and 2) an immune selection. IGA proves theoretically convergent with probability 1. Strategies and methods of selecting vaccines and constructing an immune operator are also given. IGA is illustrated to be able to restrain the degenerate phenomenon effectively during the evolutionary process with examples of TSP, and can improve the searching ability and adaptability, greatly increase the convergence rate.
7977463
LiveBT: Providing Video-on-Demand Streaming Service over BitTorrent Systems
BitTorrent (BT) is one of the most popular Peer-to- Peer (P2P) protocols for delivering media files in the Internet today. Although BT is quite efficient for sharing and downloading files by using P2P swarming technique, the users have to download almost the whole media file before playing it. This is determined by the Rarest-Block-Download-First strategy of standard BT implementations, which is designed for fast delivery of files in the systems but not for streaming application. In this paper, we present LiveBT, a new protocol which supports video-on- demand streaming service and is totally compatible to the current BitTorrent protocol. LiveBT enables users to play hot movies shared in the BT systems smoothly just after 2-3 minutes of buffering time. We also develop the prototype of LiveBT and test the performance through the real BT download tasks of media files. By comparing our prototype with some popular BT clients claiming to support view-as- download service such as Bitcomet, we find that LiveBT spends a much shorter buffering time to play and achieves quite smooth playback performance.
32529879
Performance comparison of control schemes for ABR service in ATM LANs
The ATM Forum has defined a new service category, called the available bit rate service (ABR), which is intended for applications requiring tightly constrained cell loss but no bound on the delay or delay variation. Appropriate traffic control schemes are necessary for ABR service to achieve very low cell loss and maximize the network resource utilization by taking advantage of the available bandwidth remaining after CBR/VBR services have been supported. This paper compares the performance of a burst-level traffic control scheme and a rate-based feedback control scheme, through simulation in an ATM LAN environment. Our results indicate that the burst-level control scheme is more suitable for loss-sensitive but delay-insensitive applications such as ABR service, because it requires nearly zero buffers to achieve zero cell loss and potentially high network resource utilization, at the cost of an acceptable burst transfer delay.
45515067
Evaluation Mode Research on Particle Swarm Optimization Algorithm