Ibrahim Albidewi - Academia.edu (original) (raw)

Papers by Ibrahim Albidewi

Due to the importance of managing organizational performance in directing organization towards ac... more Due to the importance of managing organizational performance in directing organization towards achieving its goals, a lot of measuring tools were developed to measure organizational performance. One of the most important measuring tools is Balanced Scorecard (BSC) that balanced between measuring the performance from financial and non-financial aspects of organizations. Although the BSC has been applied widely in many organizations, its implementation was limited to a few studies in the public educational sector. Also, most of BSC implementation was manual or through spreadsheet applications like Microsoft Excel, which made the process of tracking the performance challenging and unorganized. Therefore, the purpose of this work is using technology to solve a major managerial issue by automating the BSC in a full-scale system that enables the user to track, monitor and evaluate the performance continuously, to ensure that organization is moving in the right direction to achieve its goa...

Computer Science students face lots of difficult concepts while learning to program. To understan... more Computer Science students face lots of difficult concepts while learning to program. To understand these concepts, students and teachers face challenges based on lots of factors such as course content, environment and/or miscellaneous of students learning styles. Computer technologies, such as educational multimedia tools, may or may not help to make these concepts more comprehensible. The author finds out the receptiveness of educational multimedia tools in computer programming education by survey. The result of questionnaire that given to computer science teachers and students at women's campus at King Abdul Aziz University finds a positive receptiveness of educational multimedia tools on computer programming education.

Modeling temporal database over relational database using 1NF model is considered the m... more 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...

International Journal of Advanced Computer Science and Applications, 2021

Recently, image encryption has taken an importance especially after the dramatic evolution of the... more Recently, image encryption has taken an importance especially after the dramatic evolution of the internet and network communication. The importance of securing the images contents is due to the simplicity of capturing and transferring of digital images in various communication media. Although there are many approaches for image encryptions, chaos-based image encryption approach is considered one of the most appropriate approaches because of its simplicity, security, and sensitivity to the input parameter. This research paper presents a new technique for encrypting RGB image components using nonlinear chaotic function and DNA sequence. A new image with the same dimensions of the plain-image is used as a key for confusions and diffusion process for each RGB components of plain-image. Experimental results show the efficiency of the proposed technique, simplicity, and high level of resistant against several cryptanalyst.

Decision support system has emerged as an important information technology tool to many sectors e... more Decision support system has emerged as an important information technology tool to many sectors especially to managerial department or missions ; in order to save time, get maximum benefits from technology, get precise decisions based on the user roles. So DSS came to resolve some issues that managerial department faced when they resolve some semi-structured or unstructured problems that need important decisions, however, DSS can effectively provide precise decisions to managers at any position. There are many DSS implementations nowadays at many sectors. This thesis focused on redesign the scientific promotion process by implements a flexible prototype of Web-based DSS to support the decision-making process by the main actor scientific council at Saudi Universities, in addition serves different faculties with their different missions and goals. The aim of this system is to provide decisions based on predefined points related to promotion main criteria with its sub-criteria, each ac...

Information hiding techniques have recently become important in a number of application areas. Th... more Information hiding techniques have recently become important in a number of application areas. The information hiding scheme can be classified into two main application fields: steganography and watermarking. There is a considerable amount of published work in this field. However, little work addresses information hiding from the user's point of view. Potential problems, user requirements, evaluation and protection are introduced. The results illustrate that normal users prefer watermarking rather than steganography.

An electrocardiogram (ECG) signal is a test to measure the electrical activities of the heart by ... more An electrocardiogram (ECG) signal is a test to measure the electrical activities of the heart by applying electrical impulses. This paper proposed a remote ECG simulation to assisting vital signs in healthcare, namely ECG Simulation using Fourier Series approximation. A single period of an ECG signal that contains P, Q, R, S, T and U waves is in sinusoidal/triangular shapes, periodic and satisfies Dirichlet’s conditions. Periodic Fourier Series also satisfies the condition and is expressed in terms of sine and cosine functions, thus Fourier Series is used to represent the ECG signal. All waves in the ECG signal are analyzed in choosing suitable representation of the shape. The combination of all waves which yields the ECG signal is calculated and programmed in Microsoft Visual Basic 2008 (MSVB2008). The results obtained could be run remotely on mobile devices using Microsoft Remote Desktop. Further details of results might be improved by proper consultations from medical practitione...

Applied Sciences, 2021

University education has become an integral and basic part of most people preparing for working l... more University education has become an integral and basic part of most people preparing for working life. However, placement of students into the appropriate university, college, or discipline is of paramount importance for university education to perform its role. In this study, various explainable machine learning approaches (Decision Tree [DT], Extra tree classifiers [ETC], Random forest [RF] classifiers, Gradient boosting classifiers [GBC], and Support Vector Machine [SVM]) were tested to predict students’ right undergraduate major (field of specialization) before admission at the undergraduate level based on the current job markets and experience. The DT classifier predicts the target class based on simple decision rules. ETC is an ensemble learning technique that builds prediction models by using unpruned decision trees. RF is also an ensemble technique that uses many individual DTs to solve complex problems. GBC classifiers and produce strong prediction models. SVM predicts the t...

Journal of Computer Science, 2012

Problem statement: In the field of database technology, Recoding time related data are referred t... more Problem statement: In the field of database technology, Recoding time related data are referred to as temporal databases. Conventional relational databases are queried using the underlying constructs of SQL which are translated into Relational Algebra (RA). Relational Algebra (RA) is the writing of logical expressions that uses a set of relational operators to perform operations on specific relation(s) and returns results as relation. RA operations are not applied on querying temporal database, because temporal database holds a sequence of snapshot relations. Approach: This study focuses on the retrieval of temporal database, by extending RA to TRA. TRA is involved to help querying temporal database that is modeled using Tuple Timestamp Historical Relation (TTHR) Model. Results: A technique for querying temporal database modeled by TTHR is the topic of this study. We examine the current issues and problems in temporal database and propose data retrieval optimization technique for temporal database. Conclusion: We proposed a data retrieval optimization technique for querying temporal database; this technique applies for the temporal database applications that are modeled by TTHR.

جامعة الملك عبدالعزيز. KING ABDULAZIZ UNIVERSITY. sa, sa, sa, sa. University: Our History; Vision... more جامعة الملك عبدالعزيز. KING ABDULAZIZ UNIVERSITY. sa, sa, sa, sa. University: Our History; Vision and Objectives; Photo Album; Our Contacts; Site Map; University Bulletins; KAU's Logo and Anthem; University Map. KAU Management: ...

ijcsi.org

Software Development Methodologies have survived a never ending evolving era, ever since it first... more Software Development Methodologies have survived a never ending evolving era, ever since it first came in horizon. Amongst the several methodologies, only ObjectOriented Methodology has been able to see the dawn of the day. ObjectOriented Methodology ...

Lubrication engineering, 1992

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Of the problem areas, the domain of matching complex objects has received, by far, the most atten... more Of the problem areas, the domain of matching complex objects has received, by far, the most attention. This research work is concerned with the specific class of complicated objects, i.e. logo. The progress, particularly in this field, is still at extensive research work level, due to infinite varieties of shapes and classes which are used. Essentially, the algorithm proposed is based on Principle Component Analysis (PCA) approach. In this technique, the PCA is used to extract the features, kept inherent in the normalized pattern for later matching process. In the matching process, the extracted features of unknown pattern are mapped onto formulated feature spaces, and the distance between the source symbol and modeled symbols is used as a decision making tool. The true matching rate of 100% has been achieved for hundreds tested logos. Index Term-ex Object Matching, Feature Extraction, Principle Component analysis, Euclidean Distance

In this paper, we investigate the possibility of recognizing the emotional state of a subject fro... more In this paper, we investigate the possibility of recognizing the emotional state of a subject from his brainwave activities while he/she is listening to verses from the Quran. To this end, an experiment is designed and performed where the electroencephalogram (EEG) brain activities of 17 participants are recorded, using Emotiv EPOC neuroheadset, while they are listening to selected verses from the Quran. At the end of each trail, the participant provides a self-assessed happiness-unhappiness feedback and, at the same time, valence-arousal values are calculated from receded EEGs using fractal dimension method based on Higuchi algorithm. These values are used to train a classifier that recognizes two emotional states, happy and unhappy. The classifier is trained using random forest algorithm and the achieved recognition accuracy is 87.96%.

International Journal of Advanced Computer Science and Applications

In the last four decades several dozens of representing time-oriented data/knowledge bases have b... more In the last four decades several dozens of representing time-oriented data/knowledge bases have been presented. Some of these representations violate First Normal Form (1NF) by using Non-First Normal Form (N1NF) prototypes and temporal nested representations, while others simulated the concepts of temporal data with relational data representation without violating 1NF. In this article, a new interval-based knowledge representational data model with an optimized retrieval techniques are employed for modeling and optimality retrieve a biomedical time-varying data (factors/observations that affect the diabetes). The used time-related data model is more compact to represent time-varying data with less memory (capacity) storage with respect to the main representations in the literature, but which is as expressive as those representations (a transformation algorithms show that data represented in this model can be transferred to/from the representations in the literature with zero percent loss of information). A new data structure is defined with the optimal retrieval techniques to prove some basic properties of the used time-model and to ensure that the time-model is an extension and reduction of the main representations in the literature, namely TQuel and BCDM. The expressive power, reducibility, and easy implementation of the proposed model, especially for the legacy systems, are considered as advantages of the proposed model.

International Journal of Advanced Computer Science and Applications

Interval-Based Parametric Temporal Database Model (IBPTDM) captures the historical changes of dat... more Interval-Based Parametric Temporal Database Model (IBPTDM) captures the historical changes of database object in single tuple. Such data model violates 1NF and it is difficult to be implemented on top of conventional Database Management Systems (DBMS). The reason behind that, IBPTDM cannot directly use relational storage structure or query evaluation technique that depends on atomic attribute values as well as it is unfixed attribute size. 1NF model with its features can be used to solve such challenge. Modeling timevarying data in 1NF model raise a question about memory storage efficiency and ease of use. A novel approach for representing temporal data in 1NF model and compare it with other main approaches in literature is the main goal of this research. To this end, a mathematical model for comparing a three different storage models is demonstrated to illustrate that the proposed model is more efficient than other approaches under certain conditions. The simulation results showed that the proposed model overcomes the needless redundancy of data, achieves saving in memory storage, and it is easy to be implemented in relational data model or to be adapted with a production systems that need to track temporal aspects of functioning database Systems.

VFAST Transactions on Software Engineering

The majority of any temporal data model is claimed to be superset of the conventional relational ... more The majority of any temporal data model is claimed to be superset of the conventional relational data model as well as it has the ability to be represented in the main temporal data models in literature. In this paper, a complete and formal proof is provided in order to show that the A Tuple Timestamping Historical Relational (TTHR) temporal data model is a consistent extension of conventional relational model, and has the expressive power to be represented in other reference temporal data model and the modeling approaches in relational temporal data model.

International Journal of Innovative Research in Engineering & Management

Almost two decades, the educational institutions using tables and sheets to represent their strat... more Almost two decades, the educational institutions using tables and sheets to represent their strategic planning and programs for execution and reporting purposes. Now, this is age of Information Technology, the programs and projects are better represent and easily manage at the finger tips access. In this paper, we mainly focus on selection of suitable strategic execution software using specific criteria which will help us to develop, maintain and monitor our strategic programs and projects for higher education.

Journal of Computational and Theoretical Nanoscience

Innovative Systems Design and Engineering, 2015

The design of academic scheduling is considered a debatable issue that arises at the beginning of... more 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.

International Journal of Advanced Computer Science and Applications, 2021

Applied Sciences, 2021

Journal of Computer Science, 2012

ijcsi.org

Lubrication engineering, 1992

RefDoc Bienvenue - Welcome. Refdoc est un service / is powered by. ...

International Journal of Advanced Computer Science and Applications

VFAST Transactions on Software Engineering

International Journal of Innovative Research in Engineering & Management

Journal of Computational and Theoretical Nanoscience

Innovative Systems Design and Engineering, 2015