Investigation Arabic Speech Recognition
Using CMU Sphinx System

Discrete Time NHPP Models for Software Reliability Growth Phenomenon

Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering

Keywords:

Received April 21, 2007; accepted December 14, 2007

Early Abandon to Accelerate Exact  Dynamic Time Warping

Keywords: Data mining, time series, similarity search, dynamic time warping, early abandon.

Received July 8, 2007; accepted December 20, 2007

 A Proposed Approach for Learner Evaluation
 in an Open Distance Environment

Amar Balla
National Institute of Computer Science, Algeria

Abstract: The remote learning evolution and particularly the e-learning permits to more and more people access to education. One of the learning fields which are to be developed is the learner evaluation. The accuracy and the pertinence of the evaluation results can provide information which can be very exploitable by the tutor in order to let the latter help the learner who has some troubles. The evaluation can also be exploitable by the learner because it provides a feedback on what he has really understood. Within this context we are interested by two types of cognitive evaluations, the first one concerning the self-evaluation by questionnaires with multiple choices and the second one concerning the collective work evaluation. For the first case, the work consists to make the questionnaires with multiple choices intelligent, e.g., the questions which will be asked will progress in function of the learner’s answers in order to identify the knowledge on which he has difficulties. In the second case, we will use a multi-agent system in order to achieve the evaluation of a group of learners working on the same project. 

Keywords: Learner evaluation, open distance environment, knowledge, multi-agent system.

        Cases Base Memory Modelling for Medical Pictures Reuse

Abdelkrim Meziane1 and  Nour El Islam Bachari2
1CERIST Centre of Research in Scientific and Technical Information, Algeria
2USTHB University Algiers, Algeria

Abstract: The mass of multimedia data produced annually in hospitals are measured in terabytes; the need to manage this gigantic information mass becomes quickly extremely crucial. The actual management information systems of medical pictures present some limits like their capacities to answer the needs of the users. These limits are due to the fact that these systems don't take in consideration the semantic content of the pictures. Content research aims to pass this problem. One of the possible means consists in using description criteria of the picture semantic content for being able to reuse it. These criteria are known in the medical knowledge domain. We think that the use of an enterprise memory for managing this knowledge would be able to satisfy this need. We demonstrate our subjects by the realization of a prototype named "MECIM ".

Keywords: Medical picture, enterprise memory, cases base research

Performance Enhancement of UWB Power  Control Using Ranging and Narrowband Interference Mitigation

Keywords:

Received July 9, 2007; accepted December 24, 2007

A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks

Keywords: Wireless sensor networks, fuzzy logic, routing.

Received April 27, 2007; accepted December 26, 2007

A Framework to Automate the Parsing of  Arabic Language Sentences

Essam Al Daoud and Abdullah Basata
Faculty of Science and Information Technology, Zarqa Private University, Jordan

Abstract: This paper proposes a framework to automate the parsing (إعراب) of Arabic language sentences in general, although it focuses on the simple verbal sentences but it can be extended to any Arabic language sentence. The proposed system is divided into two separated phases which are lexical analysis and syntax analysis. Lexical phase analyses the words, finds its originals and roots, separates it from prefixes and suffixes, and assigns the filtered words to special tokens. Syntax analysis receives all the tokens and finds the best grammar for the given sequence of the tokens by using context free grammar. Our system assumes that the entered sentences are correct lexically and grammatically.

Keywords: Lexical analysis, syntax analysis, Arabic language parser.

Empirical Validation of Requirements Management Measures

Abstract: Requirements management measures help organizations to understand, control and assess requirements management process. This paper validates empirically a set of requirements management measures. The measures were defined for the five specific practices of requirement’s management key process area in capability maturity model integration by applying the goal question metrics paradigm to the five specific practices. We have applied the defined measures on three information systems using historical data. Then, for each information system some hypotheses have been followed to confirm the validity of the defined measures empirically.

Keywords:

Received August 19, 2007; accepted December 9, 2007

Artificial Neural Network Approach for Overlay Design of Flexible Pavements

Keywords: Overlay, ANN, pavement design, neural network, mechanistic-empirical, flexible pavements.

Received December 10, 2007; accepted February 19, 2008

Binding Semantic to a Sketch Based
Query Specification Tool

Keywords: Image retrieval system, semantic retrieval, multimedia retrieval markup language, semantic web

Received March 19, 2007; accepted November 16, 2007

Towards A Distributed Arabic OCR Based on the DTW Algorithm: Performance Analysis

Maher Khemakhem1 and Abdelfettah Belghith2
1Miracl Lab Fsegs, University of Sfax, Tunisia
 2Rim-Cristal Lab, Ensi University of Manouba, Tunisia

Abstract: In spite of the diversity of printed Arabic optical character recognition products and proposals, the problem seems to be not yet well solved. The complex morphology and calligraphy of the Arabic writing on one hand and the use of some light approaches on the other hand are behind the poorness of these products. However, some strong proposed approaches didn’t find the opportunity to be commercialised because of generally their corresponding complex computing.  The dynamic time warping algorithm is considered as one among these strong approaches. In fact, several studies and experiments have shown and confirmed that the printed Arabic optical character recognition based on dynamic time warping algorithm provides a very interesting recognition rate especially for large and huge vocabularies. One of the attractive sides of the dynamic time warping algorithm is its ability to recognize properly connected or cursive characters (words or sub words) without prior segmentation. Furthermore, this algorithm performs the recognition process from within a reference library of isolated characters and owns a very good immunity against noises. Unfortunately, the big amount of its computing during the recognition process makes its execution time very slow and, hence, restricts its utilization. Many researchers attempted to speedup the execution time of this algorithm. Unfortunately, the corresponding proposed solutions require generally specific high cost architectures. Loosely coupled architectures such as grapes or grid computing can provide enough power without additional cost to distribute the complexity of some greedy applications. Consequently, we report in this paper the performance analysis of an analytical and an experimental study of a distributed Arabic optical character recognition based on the dynamic time warping algorithm within loosely coupled architectures. Obtained results confirm that loosely coupled architectures and more specifically grid computing present a very interesting framework to speedup the Arabic optical character recognition based on the dynamic time warping algorithm.

Keywords: Arabic OCR, DTW algorithm, loosely coupled architectures, grapes, grid computing, performance analysis.

Video Object Extraction Based on a Comparative
Study of Efficient Edge Detection Techniques