With increasing demand for E-learning, there is growing concern about the ability to ensure its quality.This paper identifies the e-learning system quality issues, which are related to the user, teacher, course, design, technology, and environment. Then the paper discusses how to implement the Total Quality Management (TQM) in e-learning system to achieve the most advantages from it.

The Field of TQM Total quality Management seeks to have all the functions in an organization integrated. IT has been a favorite subject of research specially in the areas of Service and production. The studies aimed at addressing the topic of continual improvement in the sphere of TQM and its applications. Different researchers had their individual approaches and their researches concluded differently. With this paper we attempt to do a comparative analysis of the research work done by various people in the areas of TQM, its aims, principles, models and applications.

Embedding a message in media files, also known as steganography, is a common approach to hide secret information. It has been exploited by some criminals to confidentially exchange messages. As a countermeasure, tools have been developed in order to detect hidden information form digital media such as text, image, audio or video files. However the efficiency and performance of previous approaches still have room for improvement. In this research, we focus on algorithm design for better efficiency of hidden message detection from PNG files. We employ three classic AI approaches including neural network, fuzzy logic, and genetic algorithm and evaluate their efficiency and performance in controlled experiments. Finally we introduce our message detection system for PNG files based on LSB approach and present its usability in different case scenarios.

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