In this paper we report on our experimentation with the use of FPGA-based system to solve the irregular computation problem of evaluating when the matrix A is sparse. The main features of our matrix-vector multiplication algorithm are (i) an organization of the operations to suit the FPGA-based system ability in processing a stream of data, and (ii) the use of distributed arithmetic technique t...

Machine learning and data mining algorithms are increasingly being used in the intrusion detection systems (IDS), but their performances are laggard to some extent especially applied in network based intrusion detection: the larger load of network traffic monitoring requires more efficient algorithm in practice. In this paper, we propose and design an anomaly intrusion detection (AID) system ba...

This paper reports on an implementation of a question answering system with the vector similarity scoring method. Our question answering system consists of four modules. The question analyzer classifies questions with manually created regular expressions. The document retrieval engine chooses the related articles using the vector space retrieval method. The named entity extractor finds answer c...

Solar energy has become a very potential new energy; Connected directly with grid-connected photovoltaic (PV) systems does not require bulk and lossy battery. Distributed generation and on-site supply of PV system reduces losses of transmission and distribution, and mitigates environment pollution. This paper establishes a Dynamic model of grid-connected PV system by Matlab/Simulink with d-and ...

The paper presents an off-line signature verification system using support vector machine technique. Global features are extracted from the signatures using radon transform. For each registered user in the system database a number of reference signatures are enrolled and aligned for statistics information extraction about his signature. Dynamic time warping algorithm is used to align two signat...

In this paper, the localization algorithm based on particle filter and support vector machine is described. The speed and heading of user are calculated by mobile device and transmitted to the server. Accurate algorithm is performed on the server. The system does not require specific initialization or specific hardware deployment. It is a ready system for commercialization.

In the last years, that amount of data stored in databases has increased extremely with the widespread use of databases and the rapid adoption of information systems and data warehouse technologies. It is a challenge to store and recover this increased data in an efficient method. This challenge will potentially appeal in database systems for two causes: storage cost reduction and performance i...