Thamer AL-Rawashdeh

Mobile services have enormous potential to be one of the government’s most effective tools, to govern,

control, and administer community requirements and justice. In order for the governments to offer

acceptable and attainable mobile services, these services have to be used by citizens. The preliminary

question that lead to this study was: What are the factors that affect user acceptance of m-Government

services in Jordan?, or how can we motivate the citizens to utilize services? As m-Government services are

a new field, there is a minimal amount of research and literature that could assist in discerning the factors

that affect acceptance of such services. This study applies the Technology Acceptance Model (TAM) to

examine the user acceptance of using m-Government services. The results show that Perceived usefulness

(PU) and Perceived ease of use (PEOU) affect citizen’s acceptance of m-Government services. Failures to

demonstrate the advantages of m-Government services to potential citizens will likely result in a low rate of

acceptance.

Monitoring and detecting faults on a set of solar

panels, using a wireless sensor network (WNS) is our contribution in

this paper, this work is part of project we are working on at Al-

Zaytoonah University. The research problem has been exposed by

engineers and technicians or operators dealing with PV panel’s

maintenance, in order to monitor and detect faults within solar panels

which affect considerably the energy produced by the solar panels.

The proposed solution is based on installing WSN nodes with

appropriate sensors for more often occurred faults on the 45 solar

panels installed on the roof of IT faculty. A simulation has been done

on nodes distribution and a study for the design of a node with

appropriate sensors taking into account the priorities of the

processing faults. Finally a graphic user interface is designed and

adapted to tele-monitoring panels using WSN. The primary tests of

hardware implementation gave interesting results, the sensors

calibration and interference transmission problem have been solved.

A friendly GUI using high level language Visual Basic was

developed to carry out the monitoring process and to save data on

Excel File.

In recent years, development of Open Source Software has obtained significant

importance in the production of software products. Although, developers of Open Source Software

have developed software with functional competitiveness as compared to closed proprietary

software; computer users still prefer closed proprietary software than open source due its

usability strength.

On the other hand, once the usability of OSS is evaluated, it would be easier to develop and

implement an acceptable and qualitative product, since the software usability is considered to be

one of the most important quality factors. Thus, this work proposed a multistage fuzzy model

approach for evaluating the Open Source Software usability, which includes nine usability

characteristics to be taken into account when designing and implementing OSS software. The

model takes a project, developed in MATLAB and quantifies its usability. The Analytical

Hierarchy Process (AHP) technique was employed to verify the proposed model approach and to

rank its usability characteristics. These characteristics are sequenced according to its importance

as follows; learnability, understandability, efficiency, error prevention, memorability, operability,

familiarity, attractiveness, and usability-compliance.

DNA-binding proteins are a class of proteins which have a specific or general affinity to DNA and

include three important components: transcription factors; nucleases, and histones. DNA-binding

proteins also perform important roles in many types of cellular activities. In this paper we describe

machine learning systems for the prediction of DNA- binding proteins where a Support Vector Machine

and a Cascade Correlation Neural Network are optimized and then compared to determine the learning

algorithm that achieves the best prediction performance. The information used for classification is

derived from characteristics that include overall charge, patch size and amino acids composition. In total

121 DNA- binding proteins and 238 non-binding proteins are used to build and evaluate the system. For

SVM using the ANOVA Kernel with Jack-knife evaluation, an accuracy of 86.7% has been achieved with

91.1% for sensitivity and 85.3% for specificity. For CCNN optimized over the entire dataset with Jack

knife evaluation we report an accuracy of 75.4%, while the values of specificity and sensitivity achieved

were 72.3% and 82.6%, respectively.

Applying web-based training system is highly preferable in

meeting time constraints, however, its success is subject to users’

acceptance. Previous studies highlight human challenge as the

most important barrier in the implementation of an ICT-based

training system. Users tend to show resistance in using new

technology and online approaches. They favour the traditional

way such as the face-to-face method of training. This paper

presents the results of a study conducted to assess the acceptance

of a web-based training by public sector employees. The study

applied the Uni

fi ed Theory of Acceptance and Use Technology

(UTAUT) with the focus on three system characteristics; system

fl

exibility, system enjoyment, and system interactivity. A total

of 290 employees from the Jordanian Public Sector participated

in the study. The

fi ndings revealed that system fl exibility and

system enjoyment have direct effects while system interactivity

has an indirect effect on the employees’ intention to use the

web-based training system. In addition, system

fl exibility is

proven to have the strongest relationship to users’ intention to

use the web-based training system

The ERP system is a
complex and comprehensive software that integrates various enterprise’s
functions and resources. Although this system provides the firms many benefits,
they still hesitate to adopt it due to high cost and risks. Thus, this study identifies
and analysis critical quality characteristics that should be considered to
ensure successful development and implementation for the ERP system. The study
identifies the new features of ERP systems that differ from other information
systems’ features. Then in order to develop ERP system quality model, ISO/IEC
9126 standard has been adapted. Finally, analytic Hierarchy Process (AHP) has
been applied to evaluate the quality of the proposed model’s characteristics.  The derived quality characteristics could be
used to compare ERP systems which help the organizations to implement better
system quality.

Abstract: The FA (facial ageing) process has been of a great interest to many researchers and some firms like airports and police departments, this is due to the fact that the face appearance changes as people age resulting in difficulties identifying certain individuals. In this paper, 2D wrinkle maps will be used in the design of a 3D system for the purpose of facial wrinkles simulation and prediction. Our findings will challenge many commercial softwares in the innovation of the techniques in setting solid grounds to generate real-time 3D wrinkles that can be used later for various reasons. The 2D binary wrinkles will be mapped on the corresponding 3D face models using the generated outlined images. NURBS curves will then be projected on those wrinkles to form a 3D wrinkle map. The coloured wrinkle map, as well as some parameters, will be combined together in an algorithm to predict the appearance of the individual wrinkles in every age group that are divided into decades, starting from the age of 20. The novelty of the adopted procedure in comparison to the previous works is the new elements that have been integrated and collaborated to boost accuracy and generate a more realistic outcome.

Enterprise Resource Planning (ERP) systems have widely been applied by a lot of higher education institutions over the world; they have replaced their legacy systems to ERP systems due the integration advantages.  Although, the institutions have a large investment with the ERP systems, there are several failed ERP attempts. Therefore, this work is interested in eveloping an appropriate model for evaluating the quality of ERP systems in the higher education institutions. Prior works on the software quality are reviewed and a comparison is made to identify best quality characteristics that should be used in evaluating the ERP systems. Interestingly, the ISO 9126 model has been adapted to evaluate the quality software of the systems, categorizing six quality characteristics including functionality, reliability, usability, efficiency, portability and maintainability.

The Enterprise Resource Planning (ERP) system is a complex and comprehensive software that integrates various enterprise’s functions and resources. ERP system cleanly encapsulates crosscutting concerns which cannot be encapsulated by other types of information systems like data synchronization and standardization, system complexity and system modularity. Many studies are conducted to propose software quality models with their quality characteristics. However, there is currently no dedicated software quality model that can describe and involve new features of ERP systems. Thus, this study has proposed an ERP system quality model (ERPSQM). Analytic Hierarchy Process AHP has been employed to evaluate the quality of ERPSQM. Furthermore, this proposed model can be used to make a comparison of ERP systems to help companies implement better systems.

With the development of information technology, organizations have  applied e-learning system to train their employees in order to enhance their performance. In this respect, applying the web-based training system will enable organizations to train their employees quickly and effectively anywhere at any time. Using some factors such as flexibility of web-based training systems, system interactivity, system enjoyment and some moderators including age, gender and experience, this paper aims to extend the Unified Theory of Acceptance and Use of Technology (UTAUT), as a way to explain the employees’ intention to use web-based training system. A total of 290 employees participated in this study. The findings of the study revealed that performance expectancy, facilitating conditions, social influence and system flexibility have direct effect on the employees’ intention to use the web-based training system, while effort expectancy, system enjoyment and system interactivity have indirect effect on employees’ intention to use the system.