Impacts of Quality Factors on the effectiveness of Web-Based Management Information System with the Mediating Role of User Satisfaction
1500 until 1600
Meeting Room 7th Floor
Kamal M. H. Alhendawi
Dr. Ahmad Suhaimi Baharudin
The effect of Web-based Information system (WBIS) on the organization performance at individual level has been one of the most significant factors for IS researchers. As the decision makers and IS mangers spent millions of dollars in IT development, the assessment of WBIS is greatly needed in order to justify the IT investment in terms of employee performance. This study aims at testing the impact of the five quality factors (system quality, information quality, service quality, interface quality and communication quality) on the effectiveness of Web-based Management Information Systems (WBMIS). The effectiveness is assessed based on employee performance: task performance and contextual performance. Further, this study also tests the mediating role of user satisfaction. For this purpose, this study is primarily concerned with the development and validation of new multi-dimensional instrument and model for assessing the effectiveness of WBMIS. In a large scale study, a sample of 384 UNRWA respondents is gathered in order to validate the adapted study instrument and the developed assessment model. An exploratory factor analysis is employed in order to validate the factor structure of the adapted scale while multiple and hierarchical regression analysis are used for examining the developed theoretical model. The results of validity and reliability analysis provided the researcher enough confidence to proceed toward validating the proposed assessment model. The results of multiple regression analysis indicate that the user satisfaction has a mediating role on the relationship between information quality, service quality, communication quality, and effectiveness. In contrast, the results showed that interface design and system quality have insignificant relationship with user satisfaction, and thus, there is no mediating role for user satisfaction. The findings suggested that system quality, information quality, service quality and communication quality have important role in the Palestinian context, and especially in UNRWA, as they contribute to employee performance and user satisfaction as well. As UNRWA has a semi-governmental role in providing basic services to millions of Palestinian refugees such as education, health, finance and camp improvement, this study is expected to contribute to the enhancement of employee performance and satisfaction at UNRWA operating areas, the Palestinian governmental organizations such as ministries, and other international organizations. Further, the findings of the study are encouraging and indicate that the developed model could be applied to other different domains such as E-government. Thus, UNRWA, Palestinian governmental organizations, and other related organizations such as public sectors and NGOs should act on developing the quality of the WBMIS in order to ensure the users satisfaction with the WBMIS system which in turn affect the users’ perceptions, expectations and motivation positively, and therefore, enhance the employees’ professional and contextual skills towards the achievement of the organizational objectives.
New Image-Based Steganographic Methods in Frequency Domain
1100 until 1200
Meeting Room 5th Floor
Samer Hassan Suleiman Atawneh
Associate Professor Dr. Putra Sumari
Digital image-based steganography is the practice of embedding secret information into digital images with the intention to communicate hidden information. Steganography has become significant in today’s digital world where information is frequently and easily exchanged through the Internet, emails and other ways using computers. These electronic communication means, which are susceptible to attacks and eavesdropping, make the security matters nowadays more important than before, where security problems, such as modification and forgery, have reached critical extents.
The need for effective methods of hiding secret information into images led to the new incentive research in the area of steganography. This study surveys image-based steganography to highlight the key concepts behind it, provides the benefits and drawbacks of steganography domains and compares between different existing image-based steganographic methods. Possible research trends, recommendations and useful strategies to improve the security of steganography in digital images will also be discussed.
The main goal of this research is to enhance the imperceptibility of stego-images and increase the embedding payload. New methods that struggle to reduce the drawbacks of current image-based steganographic techniques and narrow down the margin of embedding capacity and distortion will be proposed. The first proposed method utilizes both spatial and frequency domains (i.e., hybrid method) to embed the secret information. The contribution here is to develop a blind method, which means that the secret information can be extracted only from the stego-image without referencing the cover image. This proposed method aims to produce stego-images with high quality and more undetectability.
The second proposed method utilizes the coefficient value differencing (CVD) between the frequency domain’s adjacent coefficients, and then the distance between each secret digit and a CVD value is exploited to change only one coefficient for the purpose of embedding the secret digit. The proposed steganographic method aims to provide good performance in terms of image quality and embedding payload.
While most of the existing steganographic methods focus on the embedding of the secret information, or its encrypted form, without giving any consideration to the pre-processing phases that transform the secret information into different form before embedding it, the third proposed steganographic method aims to provide large embedding payload by preprocessing the secret information before embedding it in the cover image. In addition, it is expected that the proposed method will produce imperceptible stego-images compared with other available methods in the literature. The theoretical approaches of the proposed methods are produced in this report.
Artificial Bee Colony Techniques For University Timetabling Problems
1100 until 1200
Discussion Room (BJIM)
Asaju La'aro Bolaji
Prof. Ahamad Tajudin Khader
The major objective of this research is to investigate how Artificial Bee Colony algorithm could be used to improve the state of the art of automated search methodologies for university timetabling problems. The first part of the work is the adaptation of Basic-ABC algorithm. In the second part of research, the scout bee operator of the Basic-ABC is modified with random consideration of HSA in order to overcome problem encountered by the Basic- ABC. Lastly, the local exploitation of the Modified-ABC is enhanced with hybridization of hill climbing optimizer (HCO). The three proposed ABC algorithms have been implemented on benchmark of the university timetabling datasets (PE-CTP and U-UETP) The results of the three ABC techniques on PE-CTP and U-UETP were compared against each other based on the penalty/proximity values, where Hybrid-ABC have overall best performance in all the datasets for both PE-CTP and U-UETP, followed by Modified-ABC. The results achieved by the three proposed ABC techniques were compared with 26 comparative techniques for PE-CTP and 25 Comparative techniques for U-UETP to assess their effectiveness.
New Approach for Protein Tertiary Structure Prediction Using Hybridized Artificial Bee Colony Algorithm.
1500 until 1600
Meeting Room 7th Floor
Zakaria Noor Aldeen Mahmood
Prof. Dr. Rosni Abdullah
By resolving genetic code of human DNA, the amino acid sequence of proteins encoded can easily be predicted and proteins can be subsequently classified into families and subfamilies. However for a given protein, knowing the exact action whether hormonal, enzymatic, transmembranal or nuclear receptors, etc does not depend solely on amino acid sequence but on the way the amino acid thread folds as well. Determining the proteins tertiary structures using expermental methods is time consuminting and expencive; taking into account that not all proteins 3D structures can been obtained expermentaly. Many computational methods have been proposed in order to overcome the timing and cost issues. This study aims to provide a new approach for protein structure prediction problem(PSP). Several new methods will be used to develop and evaluate the new approach with the aim to produce better results in protein 3D structure prediction. The research consist of three main phases namely Data Collection and Pre-processing, Protein Structure Prediction and Evaluation of the Proposed Approach. This work introduces a new Hybrid Artificial Bees Colony (HABC) Optimization algorithm which will be used in the searching step of this new approach. The experiment will be conducted on short sequence proteins that have been used by the previous researches Tools such as SPSS and Weka also will be used for analyzing and pre-processing of the dataset during the implementation of the proposed approach.