Development of Human capital through Intellectual Competencies and Decision Support Systems

The paper deals with the development of human capital by developing decision making systems which depend on activating intellectual skills of decision makers.  Decision support systems have been developed recently and are considered essential to enable organizations to make decisions especially the ones that consider human capital as the basic element of their success.  Decision support systems aim at assisting decision makers to make ideal decisions, in addition to saving time and effort.  The paper depicts the basic intellectual skills and how to utilize them when developing decision making support tools.  It also describes concepts and characteristics of human capital in addition to the tools and characteristics of decision support systems and it recommends required procedures to develop decision support systems. Keywords: Human Capital, Decision support systems, Intellectual Competencie

An Avatar Based Natural Arabic Sign Language Generation System for Deaf People

Research demonstrates that individuals who are deaf are significantly aggrieved in the fields of education. A contributing factor to this difference is the difficulty deaf children have in acquiring learning concepts early in life. This paper will present an idea for highly interactive software using avatars (three-dimensional character modules) to process and translate free Arabic input to ARSL (ARabic Sign Language). A prototype for teaching maths and dictation for elementary schools will be discussed. This research could be valuable as a teaching tool in increasing: (1) the opportunity for deaf children to learn maths and dictation via interactive media; (2) the effectiveness of ARSL teachers. Keywords: Avatar, ARSL, Finger Spelling, Hand Shape

PROMISE AND CHALLENGE OF E-LEARNING – LITERATURE REVIEW

In this paper is presented the key findings from a literature review on the use of E-learning. The literature review presented here examines the promise and challenges associated with E-learning. Also, this paper reviews literature that deals with the definition of E-Learning 2.0 distinguishing it from traditional E-learning. The benefits of Elearning include a blending of formal and informal learning environments that open up new avenues of self service through experiential learning, while facilitating teamwork and community. While these benefits are fascinating, it is important to recognize that E-learning also poses challenges for educators and students alike. Finally, this paper is closed with conclusions and suggestions for future research on E-learning

The Design of Academic Scheduling System Using Software Intelligent Components

The design of academic scheduling is considered a debatable issue that arises at the beginning of every term, whether the educational entity is a school, an institute, or a college. The debate lasts until the middle of the term, or, at times, to the very end. Solving the problem entails examining all the issues related to the teaching schedule. These include determining the conditions, priorities, and restrictions, which are programmed to produce the ideal schedule that realizes the educational institution’s ambitions. This study deals with designing teaching schedules for educational institutions by using the recent technology of software intelligent components to develop systems and schedules in various fields. Keywords: Academic Scheduling, scheduling system, software components, intelligent components

Performance Evaluation of Attribute and Tuple Timestamping In Temporal Relational Database

Modeling temporal database over relational database using 1NF model is considered the most popular approach. This is because of the easy implementation as well as the modeling and querying power of 1NF model. In this paper, we compare a new approach for representing valid-time temporal database (in terms of structure and performance) to the main models in literature with attribute and tuple timestamping. The measurement of the performance is represented by the processing time to get the required temporal data as well as the size of the whole stored temporal data. A test has been performed by running sample queries for the same data in the represented models. Based on the tests, we have found that the new proposed model required less time and used less disk space. Therefore, it is more appropriate for modeling 1NF with interval-based timestamping in relational data model

ECG Simulation using Fourier Series: From Personal Computers to Mobile Devices

No Abstrac