Papers
A New Combination Approach to CPU Scheduling based on Priority and Round-Robin Algorithms for Assigning a Priority to a Process and Eliminating Starvation (2022)
Abstract
The main purpose of an operating system is to control a group of processes, through a method known as CPU scheduling. The performance and efficiency of multitasking operating systems are determined by the use of a CPU scheduling algorithm. Round-robin scheduling is the best solution for time-shared systems, but it is not ideal for real-time systems as it causes more context shifts, longer wait times, and slower turnaround times. Its performance is mostly determined by the time quantum. Processes cannot have priorities set for them. Round-robin scheduling does not give more critical work greater consideration, which may affect system performance in solving processes. On the other hand, a priority algorithm can resolve processes' priority levels. This means that each process has a priority assigned to it, and processes with highest priority are executed first. If which process should come first and the process waiting time in CPU are not considered, this can cause a starvation problem. In this paper, a new CPU scheduling algorithm called the mix PI-RR algorithm was developed. The proposed algorithm is based on a combination of round-robin (RR) and priority-based (PI) scheduling algorithms for determining which tasks run and which should be waiting. The disadvantages of both round-robin and priority CPU scheduling algorithms are addressed by this novel algorithm. When using the proposed mix PI-RR algorithm, the performance measures indicated improved CPU scheduling. Other processes should not be affected by the CPU's requirements. This algorithm helps the CPU to overcome some of the problems of both algorithms.
Artificial Neural Network Techniques for Healthcare Systems: Focusing on Heart Attack by Incorporating ‘Infected with Coronavirus’ and ‘Coronavirus Vaccine’ as Additional Criteria (2022)
Abstract
Artificial neural networks have revolutionized data-driven applications in the medical area. Machine learning is a type of artificial intelligence that is used to solve a variety of data science challenges. The prediction of a result based on existing data is a typical use of machine learning. Diagnosing heart disease is a difficult process that takes a great deal of expertise and knowledge. Traditional methods of forecasting heart illness include hospital examination or a variety of medicinal checks. The health-care business has a massive amount of health-care data, much of which are buried. This concealed knowledge can help you make better decisions. For the best outcomes, computer-based data are combined with modern data mining techniques. The neural network is a widely utilized tool for predicting the diagnosis of heart disease. There is no evidence that the COVID-19 vaccination increases the risk of heart attack. However, it is being used as “proof” that the vaccine kills in social media posts. As a result, we investigated this issue by incorporating ‘infected with coronavirus’ and ‘coronavirus vaccine’ as additional criteria for improved accuracy. This study describes a proposed artificial neural network model to predict a heart attack. The technology makes predictions based on eight medical characteristics. The current study's findings demonstrated that the model developed using the artificial neural network efficiently predicts a patient’s heart attack. In order to evaluate the accuracy of the suggested model, the RandomForest technique was tested.
Assessment of Factors Affecting and Influencing Performance Online Learning by Using Blackboard Learning System in College of Sciences and Arts at Unaizah, Qassim University, Kingdom of Saudi Arabia (2022)
Abstract
Educational approaches have substantially improved and changed in recent years. Technologies have evolved, particularly since all educational activities moved to an e-learning format. This necessitated the introduction of different teaching strategies and educational management techniques. For these reasons, learning management systems such as WebCT, Blackboard, and Learning Spaces are currently accessible. They provide a variety of services, including the creation and distribution of online learning materials, the recording and transcription of lectures, and the facilitation of communications among diverse users. Learning management systems have allowed stakeholders to create platforms that facilitate convenient and adaptable web-based teaching. We can address a range of aspects and features that have shaped the concept of performance in relation to the learning process. Performance during e-learning and distant learning is a major challenge for management because a variety of factors can influence learning. In the present study, we analyzed and evaluated the factors that could affect the effectiveness of distance learning and e-learning from the perspective of the faculty and students at the College of Sciences and Arts at Unaizah, Qassim University (Unaizah, Kingdom of Saudi Arabia). Our objective was to examine the factors that influence the quality of online learning when using the Blackboard learning management system, as well as its advantages and disadvantages. The study's findings will be valuable to universities attempting to integrate technology into their teaching and learning processes and will help to increase the productivity of online learning.
Using a Modified Technology Acceptance Model for a Learning Management System Platform: A Questionnaire Design for Evaluating the Blackboard Learning Management System (2022)
Abstract
Educational approaches have advanced and changed tremendously in recent years. The evolution of communication technologies has been important, particularly since many educational activities have been moved to an e-learning format. This has introduced innovative teaching methods and educational management techniques. Learning management systems (LMS) such as Web-based course development tools (WebCT), Blackboard, and learning spaces are currently widely accessible. Most higher education institutions use Blackboard as their primary LMS platform, making it one of the most frequently used LMS platforms. Blackboard technology is a widely used online program for educational institutions that makes it easier to distribute crucial items from teachers to students, such as papers, student reports, projects, and other publications. Consequently, the main objective of this paper is to design a technology acceptance model to investigate user acceptance of a Blackboard learning management system. In addition, we aim to create a quantitative strategy using a echnology acceptance model (TAM) questionnaire as the major investigation tool. The Blackboard learning management system is evaluated using a quantitative approach based on the TAM. We use perceived usefulness, perceived ease of use, user satisfaction and attributes of usability as the associated constructs for evaluation. All of these structures were altered to fit the study's needs. Furthermore, in this paper, we examin the specifics of each concept, and how they relate to the research problem. The study's findings indicate a set of methodologies that can be used to evaluate the benefits of using the Blackboard system for online learning.
Predictive Data Mining Rule-Based Classifiers Model for Novel Coronavirus (Covid-19) Infected Patients’ Recovery in the Kingdom of Saudi Arabia (2021)
Abstract
The coronavirus disease (COVID-19) pandemic, which appeared in Wuhan, China, in December 2019, is quickly spreading worldwide, with over 56 million cases as of mid-November 2020. There is no scientifically validated vaccine or drug for COVID-19; however, patients have recovered with the help of antibiotic drugs, anti-viral drugs, chloroquine, and supplements such as vitamin C. It is now evident that the world needs a quicker and better way to contain and handle the further spread of COVID-19 worldwide with the assistance of non-clinical methods including data mining approaches, augmented intelligence, and other artificial intelligence techniques in order to alleviate the enormous burden on the healthcare system, and also provide the most promising means for the patients' diagnoses. The first objective of this research was to consider a real dataset of coronavirus patients, which included regular statistical reports and also clinical data on patients, which could bring about crucial collaborations within the global research community and the discovery of new insights into tackling the outbreak. Then, using the epidemiological dataset of COVID-19 Kingdom of Saudi Arabia patients, data mining models were constructed for predicting the recovery of COVID-19 infected patients. The Cross-Industry Standard Process for Data Mining was used as the framework for the data mining classification of patients’ health care data. The process for generating the classification rules was based on the decision tree algorithm and the created rules were evaluated for use by health care administration for predicting the maximum and minimum number of days for the recovery of COVID-19 patients, the age group of patients at high risk of not recovering from the COVID-19 disease, those expected to recover from the COVID-19 disease, and those likely to quickly recover from the COVID-19 disease. Three different classification methods were tested, i.e., Bayes Net-D, naive Bayes, and J48. As a percentage of the correctly identified cases using the three separate algorithms, the overall accuracies of the evaluation results were 74.7748%, 81.0811%, and 93.6937%, respectively.
Application of Decision Tree Algorithm for Predicting Students’ Performance via Online Learning During Coronavirus Pandemic (2021)
Abstract
The novel coronavirus (SARS-CoV-2) pandemic has resulted in the worldwide closure of educational institutions such as universities. Accordingly, teaching in most countries now takes place remotely via digital platforms. As education moves from conventional to online instruction, student performance is a key concern for management because numerous factors could affect learning. This study proposes to evaluate the attributes of distance learning that could affect student performance and then adopt a classification algorithm to recommend improvements to higher education organizations. The relevant educational data for the algorithm were gathered in the 2020–2021 academic year from student surveys in four classes at the College of Sciences and Arts at Qassim University (Unaizah, Kingdom of Saudi Arabia). The data were then subjected to decision tree analysis, which generated a model based on 66 classification rules. The results of the present study showed that the model developed using data-mining rule-based classifiers is efficient for predicting a student’s final course grade. In order to evaluate the accurate of the correctly classified instances; three different classification methods were tested, i.e., Bayes Net-D, naive Bayes, and J48. As a percentage of the correctly identified cases using the three separate algorithms, the overall accuracies of the evaluation results were 90.2439%, 87.8049% and 95.0617 % respectively.
Game Playing: Proposing and Developing Queen Challenge Puzzle Game f rom 1 to 25 Levels (2021)
Abstract
In recent decades, massive improvements in graphic sophistication have begun to produce declining returns. The creative focus i n game development has shifted to artificial intelligence. The queens’ task game is part of a sequence of popular games. It is the challenge of putting n chess queens on a game board such that no two queens are threatening each other. The plan does not involve two queens sharing the same row, column or diagonal. Each column contains exactly one queen, each row contains exactly one queen, and each diagonal contains exactly one queen. For every level in the game, there are many ways to solve it. For example, there are 92 solutions to the 8×8 problem. There are many levels in the literature, but each level should be downloaded separately. Thus, it causes a lot of difficulties for players, and they should download each level to complete the challenge. This will lead to more time and effort being spent by the players, and the cost of each level will cost the players more and more. As a result, the number of players who want to play this game will decrease. The aim of this paper is to incorporate a number of levels in order to save time, money and effort by downloading each level separately. This paper also aims to develop the proposed prototype and display all the solutions while playing a puzzle game at any level. The proposed game was tested by a questionnaire based empirical study. Descriptive statistics on the questions revealed that the players had achieved the objectives of the game by applying their skills and knowledge and that the players had positive emotions about the effectiveness of the proposed game.
An Extension to UML for the Modeling of Web Based Bus Reservation System (2020)
Abstract
Bus reservation system had actualized in different nations for years, at first from manual to automated reservation system. Online bus ticketing and reservation administrations are adequately expanding in the market since it was propelled by Park May. Now, numerous individuals and organizations are beginning to gain insights of the express bus reservation system. Considering the bus ticket reservation system that has experienced a constant development in the recent years, nevertheless the means for their specifications are still underdeveloped. The Unified Modeling Language (UML) is a language for the specification, visualization and documentation of object-oriented software systems. There is a lot of potential value in UML and diagrams in general. Existing UML diagrams can be utilized to helpfully display conduct. Therefore, in order to understand the development of bus reservation system, it is important to understand what the requirements are on the complete web based bus reservation system. Analyzing the web based bus reservation system by using UML diagrams. Consequently, the nature of theoretical models legitimately influences the nature of the comprehension of the application space and the nature of the last programming items that are at last dependent on them. In this study, we present (web based bus reservation system-UML), the proposed extension to UML covers aspects of use case diagram, sequence diagram, activity diagram and class diagram of the web based bus reservation at the various views and diagrams of UML.
An Application Of Physics Experiments Of High School By Using Augmented Reality (2020)
Abstract
There has been done little research to validate the utility and usability of virtual and augmented reality environments. The evaluation of usability of these new technologies is very important to design systems that are more intuitive than a traditional method. Such an evaluation is also important for future development of applications that can gain from this new technology. The augmented reality (AR) is a technology that embedded virtual object (video, picture and 3D object) to the user view the real world. The combination of AR technology with the educational content creates new type of automated applications and acts to enhance the effectiveness and attractiveness of teaching and learning for students in real life scenarios. The study aims to improve the teaching methods used in secondary school by employing modern educational technology and thus assess the effectiveness of AR apps in teaching students the physics experiments. Therefore, in this study we took the challenge of adapting this technology to facilitate physics subject in secondary school.
Proposal Of A Standardized Electronic Health Record For Kingdom Of Saudi Arabia (2019)
Abstract
Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The proposed electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include administrative functions, computerized physician order entry, lab systems, radiology systems, pharmacy systems, and clinical documentation. The proposed electronic copy of the patient's health record includes all of data and important information of the patient and the patients' history and the history of the family in cooperation with the doctor. Examples of the information available in the proposed electronic health record: patient personal information, medications, laboratory tests results, X-rays, vital symptoms and other results. It is a website that aims to serve the health community through a standardized electronic health records for all hospitals and clinics in the Saudi Arabia Kingdom. A doctor can, through this electronic records, input and read a health record and know about health history of the patient. Consequently, it will be easy for a doctor to diagnose and treat a patient in a correct way. The proposed system is reduced medical errors through exchanging experiences among doctors and knowing drugs that conflicted with similar previous health conditions. The experimental results conclude that the working environment would be improved the performance of health professionals, reduce operation/administrative costs and enhance patient safety.
Developing Mobile Tracking Applications for Patient Treatment (2019)
Abstract
Much of the adjunct technology developed for using among medical environments is targeted towards computers. Because the hospitals face increasing demands to participate in a very big selection of quality improvement activities, the role and influence of using mobile applications in these efforts is additionally increasing. The professionals of Healthcare pay abundant of their time wandering between offices and patients, whereas the validator technology stays stationary. This paper presents a study performed using the mobile application for storing and following up patients status. Therefore, mobile application for tracking patient progress is proposed to minimize such challenges and demands, by allowing physicians and nurses to trace the patients’ conditions a lot of expeditiously and simply. The experimental results conclude that the working environment would be improved by supporting the mobile workers with mobile technology.
Generic Modelling Using Uml Extensions for Queens Challenge Puzzle Game From 1 to 25 Levels System (2018)
Abstract
The Unified Modeling Language (UML) is a language for the specification, visualization, and documentation of object-oriented software systems. Existing UML diagrams can be used to conveniently model behavior, but these diagrams can be hardly used to model games. However, UML cannot describe in an explicit manner the games requirements needed for modeling Queens Challenge Game. In this study, the modeling of queens challenge puzzle from 1 to 25 levels is discussed, the proposed extension to UML covering the use case diagram, sequence diagram, activity diagram and class diagram aspects of proposed at the various views and diagrams of the UML. The use of queens challenge game is illustrated using a queens challenge puzzle from 1 to 25 levels example. The purpose of this section is describing the extensions made in each of the UML diagrams, to allow the explicit representation of the proposed system. First, Context Diagram for proposed N-queen game system is introduced. Then, the proposed modifications to the UML are mentioned. Therefore, this study is aimed to showcase the game analysis, design of concept of game, a precise form of game-level operation specification, and an operation schema declaratively describes the effects of a game operation by using case model, actors, use case, relationships between the actors, the use case, interaction between the prototype and its user, sequence diagram, activity diagram and class diagram of queens challenge puzzle from 1 to 25 levels as defined by the Unified Modeling Language (UML).
Applied the Technology Acceptance Model in Designing a Questionnaire for Mobile Reminder System (2017)
Abstract
Usability of software applications is a key to success of any system and the technology is best care because it is not susceptible to forget or to damage. The main aim of the proposed system application is to help two important categories of the society they are elderly and Alzheimer’s patients, these two categories shared in one recipe which is a forgetful. Proposed application gives elderly and Alzheimer’s patients an opportunity to have small memory which can help them to remember tasks, events, medications and people. It is a great opportunity to learn what makes a proposed application good. Which may contribute to the prevention of progression of the disease rapidly. In this study Technology Acceptance Model has been designed to investigate the end-user acceptance of designing Proposed Mobile Reminder System. The purpose of this study is to design a quantitative approach based on the technology acceptance model questionnaire as its primary research methodology. It utilized a quantitative approach based a Technology Acceptance Model (TAM) to evaluate the designing Proposed Mobile Reminder System. The related constructs for evaluation are: Perceived of Usefulness, Perceived Ease of Use, User Satisfaction and Attribute of Usability. All these constructs are modified to suit the context of the study. Moreover, this study outlines the details of each construct and its relevance toward the research issue. The outcome of the study represents series of approaches that will apply for checking the advantages of proposed system by helping the target groups to remember what they may forget, and helping care providers to save time and effort.
An Integrated Expert User with End User in Technology Acceptance Model for Actual Evaluation (2016)
Abstract
Effective evaluation is necessary in order to ensure systems adequately meet the requirements and information processing needs of the users and scope of the system. Technology acceptance model is one of the most popular and effective models for evaluation. A number of studies have proposed evaluation frameworks to aid in evaluation work. The end users for evaluation the acceptance of new technology or system have a lack of knowledge to examine and evaluate some features in the new technology/system. This will give a fake evaluation results of the new technology acceptance. This paper proposes a novel evaluation model to evaluate user acceptance of software and system technology by modifying the dimensions of the Technology Acceptance Model (TAM) and added additional success dimension for expert users. The proposed model has been validated by an empirical study based on a questionnaire. The results indicated that the expert users have a strong significant influence to help in evaluation and pay attention to some features that end users have lack of knowledge to evaluate it.
Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web (2016)
Abstract
Users are exposed to an overwhelming amount of information in several application domains. There is a remarkable increase in the usage of Internet and general technology improvements. From this, it follows that there is a demand and need to create personalized web systems. Thus, personalized web systems are a good method of handling the flood of information and information overload, by helping people to surf the net and look for what they need. Unfortunately, the privacy issues that end-users face have not been taken seriously by some of these personalized web systems, as some of them apply it partially or fail to address the privacy issues in personalization. This affects the quality of the existing personalized web. The paper aims to investigate and explain the reasons behind the end-user’s fears in giving out his/her personal information on personalized websites. Then, based on the results modifying approach of personalized web through the use of Human Computer Interaction models to enhance the quality of the current personalized web. By addressing the main privacy issues in human computer interaction that helps the end-user trust the personalization web and website with his/her personal information and improve the quality of current personalized web. A survey study with 134 Internet users was conducted. The findings show that personalization plays different roles of attracting users in personalized websites. Internet users want useful personalized services, but at the same time, they are concerned with the manner in which firms use their data for personalization. If the involvement of Internet users with their current site is high, then personalized services are not attractive enough to motivate them to give their personal information.
Using a Modified Technology Acceptance Model to Evaluate Designing Eight Queens Chess Puzzle Game (2016)
Abstract
In the game of chess, the queen can attack any piece that lies on the same row, on the same column, or along a diagonal. The eight-queens is a classic logic puzzle. The task is to place eight queens on a chessboard in such a fashion that no queen can attack any other queen. The eight-queen puzzle is often used to illustrate problem-solving or backtracking techniques. Consequently, in this study Technology Acceptance Model has designed to investigate the user acceptance of designing Eight Queens Chess Puzzle Game. The purpose of this study is to design a quantitative approach based on the technology acceptance model questionnaire as its primary research methodology. It utilized a quantitative approach based a Technology Acceptance Model (TAM) to evaluate the designing Eight Queens Chess Puzzle Game from 1×1 to 25×25 levels. The related constructs for evaluation are: Perceived of Usefulness, Perceived Ease of Use, User Satisfaction and Attribute of Usability. All these constructs are modified to suit the context of the study. Moreover, this study outlines the details of each construct and its relevance toward the research issue. The outcome of the study represents series of approaches that will apply for checking the advantages of collecting all levels in a single game with series of episodes and how well it achieves the aims and objectives of the design.
A Mobile Reminder System for Elderly and Alzheimer’s Patients (2015)
Abstract
Mobile technologies is finding a role in patient monitoring in several different environments: homes, hospitals, and nursing homes. mHealth applications include the use of mobile devices in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers and patients, real-time monitoring of patient vital signs, and direct provision of care. Therefore, usability of software applications is the key to success of any system. This study focused on creating an application for smart phones with android system. The main aim of the proposed system is to help two important categories of the society they are elderly and Alzheimer’s patients, these two categories shared in one recipe which is a forgetful. This system gives them the ability to have small memory can help them to remember all tasks to life, which may contribute to the prevention of progression of the disease rapidly, and the technology is best care because it is not susceptible to forget or damage. The design of the proposed system presented in this study includes reminding them of the dates of their medications and the amount of medicine. It also reminders food times and some of the important events. The study concludes that the working environment would be improved by supporting with mobile technology and reduces the health expenditures and burden of health care professionals in care facility units.
A Proposed Website to Evaluate the Academic Performance in College of Sciences and Arts in Unaizah (2015)
Abstract
One of the main aims of deanship of quality assurance and accreditation in higher education is evaluated the academic and institutional performance. Therefore, effective evaluation is necessary in order to ensure academic and institutional adequately meet the requirements and teaching processing needs. A number of studies have proposed evaluation frameworks to aid in evaluation academic and institutional performance work. The students for evaluation the performance of academic and institutional have a lack of knowledge to examine and evaluate some points in the questionnaire and did not answer to the questionnaire seriously either. Thus, the questionnaire results will led to take and adopt wrong policies and decisions by the deanship of quality assurance and accreditation based on the fake feedback from the students and became the focus of concern and confusion for many academics. It is also in this confusing and difficult situation, academics sometimes disagreed regarding the questionnaire. This study aims to develop a website solution that could support students and quality unit in evaluation academic and institutional performance work in order to get the right feedback from students. This study indicated that the working environment would be improved by reducing the margin of errors or damages and the loss of some papers relating to the evaluation academic and institutional performance. It also by allowing the quality unit to assess the website and determine the improvement or complications based on the results of the evaluation process through the proposed website.
M-TOPP-UML:An Extension to UML for The Modeling of Mobile Tracking on Patient Progress System (2014)
Abstract
The Unified Modeling Language (UML) is a language for the specification, visualization and documentation of object-oriented software systems. Mobile systems are gaining more and more importance; nevertheless the means for their specifications are still underdeveloped. Existing UML diagrams can be used to conveniently model behavior, but these diagrams can be hardly used to model mobility. However, UML cannot describe in an explicit manner the mobility requirements needed for modeling mobile tracking on patient progress software systems. In this study, we present (m-TOPP-UML), our proposed extension to UML covering the use case diagram, sequence diagram, activity diagram and class diagram aspects of mobility at the various views and diagrams of UML. The use of m-TOPP-UML is illustrated using a mobile tracking patient progress system example. The purpose of this study is to showcase the system analysis and design of concept of system and a precise form of system-level operation specification and an operation schema declaratively describes the effects of a system operation by using case model, actors, use case, relationships between the actors and the use case, interaction between the prototype and its user, sequence diagram and class diagram of m-TOPP as defined by the Unified Modeling Language (UML).
A Proposed mHealth Model for Improving The Quality Care in Hospitals (2014)
Abstract
As the hospitals face increasing demands to participate in a wide range of quality improvement activities, the role and influence of physicians and nurses in these efforts is also increasing. The growing population has led to increase the number of patients in hospital. Therefore, healthcare workers have to see more patients and do more with each patient than ever before. Thus, Hospitals confront challenges with regard tracking patient condition, share information about the patient and difficulty follow up all patients with the lack of the number of specialist physician at all levels. This marks mobile devices an important opportunity for the next generation healthcare delivery. This study proposed a mobile health model that could support hospitals in tracking patient’s progress and improve the quality care in hospitals. It allows physicians and nurses to track the patients’ conditions more efficiently and easily. It also able to assist in crucial clinical decisions 24/7 and available on call wherever physicians to manage their care process from start to finish and from inside and outside the hospital.
A Questionnaire Approach Based on The Technology Acceptance Model for Mobile Tracking on Patient Progress Applications (2013)
Abstract
Healthcare professionals spend much of their time wandering between patients and offices, while the supportive technology stays stationary. Therefore, mobile applications has adapted for healthcare industry. In spite of the advancement and variety of available mobile based applications, there is an eminent need to investigate the current position of the acceptance of those mobile health applications that are tailored towards the tracking patients condition, share patients information and access. Consequently, in this study Technology Acceptance Model has designed to investigate the user acceptance of mobile technology application within healthcare industry. The purpose of this study is to design a quantitative approach based on the technology acceptance model questionnaire as its primary research methodology. It utilized a quantitative approach based a Technology Acceptance Model (TAM) to evaluate the system mobile tracking Model. The related constructs for evaluation are: Perceived of Usefulness, Perceived Ease of Use, User Satisfaction and Attribute of Usability. All these constructs are modified to suit the context of the study. Moreover, this study outlines the details of each construct and its relevance toward the research issue. The outcome of the study represents series of approaches that will apply for checking the suitability of a mobile tracking on patient progress application for health care industry and how well it achieves the aims and objectives of the design.
Designing Mobile Tracking Solution in Monitoring Patients (2013)
Abstract
Smart phones have recently overtaken PCs as the primary consumer computing device in terms of annual unit shipments. Given this rapid market growth, it is important that mobile system designers and computer architects analyse the characteristics of the interactive applications users have come to expect on these platforms. In fact, healthcare professionals spend much of their time wandering between patients and offices, while the supportive technology stays stationary. Therefore, the need for mobile applications in healthcare and processes is at an all time high. Healthcare providers, physicians, clinicians and nurses need real-time access to patient information, patient state, patient state history and other practice related information to provide best patient care. This paper aims to propose and design a handheld solution that could support hospitals in tracking patients progress. Thus, will help physicians and nurses to track the patients conditions more efficiently and easily.
"An Adaptive Mobile Technology Application for Tourist Travel" (2013)
Abstract
In the context of Jordan, the usage of M-Tourist Guide through WAP technology enables the easy and flexible access to information anywhere at anytime. The paper introduces a WAP application providing tourists with the opportunity to access necessary information in the least amount of time and effort. Through this technology, the tourist can obtain information concerning restaurants, map guides and other services through their mobile device minimizing the time and effort they expend.
Improvement on Agglomerative Hierarchical Clustering Algorithm Based on Tree Data Structure with Bidirectional Approach (2012)
Abstract
Hierarchical clustering algorithms take an input of pairwise data-item similarities and output a hierarchy of the data-items. This paper presents bidirectional agglomerative hierarchical clustering algorithm to create a bottom-up hierarchy, by iteratively merging the closest pair of data-items into one cluster. The result is a rooted AVL tree. The n leafs correspond to input data-items that need to n/2 or n/2+1 steps to merge into one cluster, correspond to groupings of items in coarser granularities climbing towards the root. As observed from the time complexity and number of steps needed to cluster all data points into one cluster perspective, the performance of the bidirectional agglomerative algorithm using tree data structure is better than the current agglomerative algorithms. Analysis on the experimental results indicates that the improved algorithm has a higher efficiency than previous methods.
Bidirectional Agglomerative Hierarchical Clustering using AVL Tree Algorithm (2011)
Abstract
The hierarchy is often used to infer knowledge from groups of items and relations in varying granularities. Hierarchical clustering algorithms take an input of pairwise data-item similarities and output a hierarchy of the data-items. This paper presents Bidirectional agglomerative hierarchical clustering to create a hierarchy bottom-up, by iteratively merging the closest pair of data-items into one cluster. The result is a rooted AVL tree. The n leafs correspond to input data-items (singleton clusters) needs to n/2 or n/2+1 steps to merge into one cluster, correspond to groupings of items in coarser granularities climbing towards the root. As observed from the time complexity and number of steps need to cluster all data points into one cluster perspective, the performance of the bidirectional agglomerative algorithm using AVL tree is better than the current agglomerative algorithms. The experiment analysis results indicate that the improved algorithm has a higher efficiency than previous methods.
Books in Progress
Book
1- "The General Algorithmic Development Methodology"
The book presents and proposes a new methodology focusing in algorithm development. It aims to perform a guide and determine objectives and tasks for every phase, and divided the phases into specific process steps for better understanding the algorithm development needs in order to success propose algorithm.
Book (Chapter)
2- "Mobile Tracking on Patient Progress (m-TOPP): System analyses and design"
In this chapter, we look at bringing the benefits of behavioral specification techniques to mobile tracking on patient progress system by showcase the system analyses and design as defined by the Unified Modeling Language (UML). In order to have meaningful and standardized behavioral specifications of mobile tracking application in health care industry.