11099012
A Pattern Matching Algorithm in P2P Mobile QA System Answer Extracting Process
Mobile automatic question and answer (QA) system is more and more popular as a mobile value-added business. But the current mobile QA systems always have low query precision and recall ratio. In this paper, a new algorithm by pattern matching in p2p mobile QA system answer extracting process is designed. It expresses the document as triad and extracts the question and answer sentence from the triad based documents. Simulation experimental analysis results show that under ideal conditions the systempsilas average responding time is less than 58 ms and precision is above 66%, and the recall ratio is upper than 52% when there are no more than 3000 simultaneous query nodes, and so the completeness and feasibility of the systempsilas design is proved.
14879086
The Algorithm of Obtaining Best Rules Based on Rough Set
With the fast development of the technology in Database and Internet, excessive information has become a problem that decision makers engage in electronic commerce have to affront. This paper firstly establishes the decision table for excessive data, then reduces knowledge of the decision table, and obtains the best rules. This can reduce the redundancy of the data, and improve the efficiency of knowledge obtaining. Because of the high time complexity and spatial complexity the general algorithm has, this paper proposed a new algorithm based on analogical matrix, and carried out the algorithm. The practice proves that the algorithm can improve the efficiency of knowledge obtaining, and the rules is tidy and best.
7324862
A New Description Language for Data-Driven Asynchronous Circuits and its Design Flow
A lot of up-to-date asynchronous circuit design tools are based on the control-driven asynchronous circuit style, such as Balsa and Haste/Tangram. The control-driven approach will limit the performance of the result circuits. To improve the performance of the asynchronous circuits, a new description language - Biscotti, which is suitable for the data-driven asynchronous circuit design, has been introduced in this paper. And a data-driven asynchronous circuit design flow is also be presented here. The experimental results show that this design flow is a fast and efficient way to design the data-driven asynchronous circuit, which can achieve higher performance compared with the control-driven design approach.
2805830
Kapa: A File Sharing System Based on HP2P
In this paper, we present Kapa, a new file sharing system based on HP2P which is a two-layer hybrid P2P network that combines the strongpoint of DHT and flooding methods to improve the performance of whole system. The design of Kapa, including the HP2P and the file sharing modules, is introduced in detail. By the analysis and simulation of Kapa, we conclude that Kapa is good at scalability, efficiency, and stability.
9201590
A Reliable OS Kernel for Smart Sensors
5903999
Texture classification using multiresolution Markov random field models
Abstract Texture classification is an important topic in texture analysis. Texture classification has wide applications in remote sensing, computer vision, and image analysis. During the past years, several authors discussed to use multiresolution stochastic approaches to model textures. However, in these approaches, the highpass components which contain rich detailed information are lost. In this paper, we propose multiresolution MRF (MRMRF) modeling to describe textures. MRMRF modeling is a method trying to fuse filtering theory and MRF models. In the MRMRF modeling, highpass components are considered as well as lowpass components. “Brodatz texture database” is used in this paper for the experiments and Nearest Linear Combination (NLC) is used as measurement of distance to improve the recognition rate. The experimental results show that NLC has much better performance than Nearest Neighbor (NN) as the measurement in MRMRF modeling.
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.