A performance evaluation of sound recognition techniques in recognizing some spoken Arabic words, namely digits from zero to nine, is proposed. One of the main characteristics of all Arabic digits is polysyllabic words except for zero. The performance analysis is based on different features of phonetic isolated Arabic digits. The main aim of this paper is to compare, analyze, and discuss the outcomes of spoken Arabic digits recognition systems based on three recognition features: the Yule-Walker spectrum features, the Walsh spectrum features, and the Mel frequency Cepstral coefficients (MFCC) features. The MFCC based recognition system achieves the best average correct recognition. On the other hand, the Yule-Walker based recognition system achieves the worst average correct recognition. arabic 7 English 60
A. Ganoun, I. Almerhag(6-2012)

Inspection offers an opportunity to detect and remove defects at various points during software development. Early detection will reduce the effect of propagation and amplification of defects into the later phases of software development. Collaborative inspection on the web aims to eliminate the time factor needed to assemble the inspection or review team at a physical location. Through the collaborative mode, software teams can perform software inspection and review from geographically separated places asynchronously. These newly introduced practices have proven that collaborative inspection and review of artifacts on the web is feasible. This paper provides a model for collaborative inspection and review including possible features of model and tool that will support collaborative inspection and review on the web. arabic 10 English 64
Abdusalam Nwesri, Khairuddin Hashim(10-2008)

Biometrics technologies have been around for quite some time and many have been deployed for different applications all around the world, ranging from small companies' time and attendance systems to access control systems for nuclear facilities. Biometrics offer a reliable solution for the establishment of the distinctiveness of identity based on "who an individual is", rather than what he or she knows or carries. Biometric Systems automatically verify a person's identity based on his/her anatomical and behavioral characteristics. Biometric traits represent a strong and undeviating link between a person and his/her identity, these traits cannot be easily lost or forgotten or faked, since biometric systems require the user to be present at the time of authentication. Some biometric systems are more reliable than others, yet they are neither secure nor accurate, all biometrics have their strengths and weaknesses. Although some of these systems have shown reliability and solidarity, work still has to be done to improve the quality of service they provide. Presented is the available standing biometric systems showing their strengths and weaknesses and also emerging technologies which may have great benefits for security applications in the near future.
Abdulmonam Omar Ahmed Alaswad(0-2008)