The Role of Quality Management in IT Project Management

As we are in a competitive business world, quality management is important in all project aspects. Applying a certain standard level to quality in an organization can help ensure customer satisfaction by delivering a high-quality product. This study primarily aims to define the relationship between quality and its role in the project management field, as the lack of quality may lead to the failure of the projects. The study also provides a review of how quality can affect the life cycle of software development; it examines the need for quality standards, reviews, and control. In addition, the study results show that organizations that use the quality tools and standards effectively while managing their projects have higher levels of maturity

The Impact of Using Smart Infusion Pumps among Nursing Practice

The most prevalent cause of medical injuries is medication errors especially when patients take multiple medications at the same period of time with different doses. One of the technologies that have been developed to improve patient outcomes is the smart infusion pump, which has the ability to identify several programming problems when applied correctly. However, based on existing use, there are contradictory reports on smart pumps' potential to avoid patients' harm in the absence of other features, as well as deliver professional care to patients. This study aimed to understand the experience of nurses when performing smart infusion pumps in their practice, the influence of this technology on their confidence, and how much this technology is trusted to rely on to prevent medical errors. Previous studies focused entirely on longitudinal and quantitative studies, which take a long time and cost a lot. A qualitative study collected from an online survey that contained three types of questions: open-ended questions, closed-ended questions, and rating questions to evaluate participants' answers about smart infusion pumps among their practices in Saudi Arabia hospitals, a survey targeting nursing staff and we got 30 replies. The outcomes have revealed a significant impact of smart infusion pumps on nursing practice

Kids' Atlas application to Learn about Geography and Maps

Geography is the study of local and spatial variations in physical and human events on Earth. Studies of the world's geography have grown together with human developments and revolutions. Atlases often present geographic features and boundaries of areas; an atlas is a compilation of different Earth maps or Earth regions, such as the Middle East, and the continents of Asia, and North America. Most teachers still use classical methods of teaching. Geographical concepts and map-reading skills are the most common aspects of learning that early-stage students find challenging. Hence, the objective of this application is to develop a geography application for children between the ages of 9 and 12 years that would allow them to learn maps. Nowadays, smartphones and mobile apps are drawing closer to becoming acceptable learning tools. To facilitate this, Kids' Atlas is an android application, the main purpose of which is to help children to learn easily and test their knowledge. The application improves learning through entertainment by adding technologies that will help children to learning geography. It captures their attention to learn by visualizing objects and allows them to interact more effectively than traditional methods teaching by visualizing the 3D items. The application intends to improve the individual's ability to understand by providing a training section containing simple quizzes, listening/voice recognition capability, and it has the ability to search for a country by voice recognition and zooming for searched country. The methodology involves a set of software development phases, beginning with the planning; analyze data, design, implementation, testing and maintenance phases. The result of this project is a geography learning application that assists children to enjoy learning geography. The result has shown positive indicators that improve children's ability and knowledge of geography. Learning geography also becomes enjoyable; encouraging and motivating children to continue learning. This project contributes to the growth of education in early childhood, which is essential to shape the nation for the future. Therefore, this project is significant and relevant, as it contributes to the knowledge society for Saudi Arabia

Development of an Approach to Evaluate Website Effectiveness

The internet has been used by individuals, organizations, and governments for business, sports, health, banking, advertisement, education, and other services. Many websites have been developed and designed in the last several decades. However, most have not been developed and designed according to a shared set of design standards. Consequently, there is a need for an approach to evaluate the effectiveness of a website. A literature review was conducted to develop such an approach. Four experts were then consulted to inspect and evaluate the approach, and a questionnaire was completed by three categories: Internet users, website developers, and others to determine its final version. This research resulted in the development of an approach to evaluate website effectiveness, composed of three major criteria: design, content, and functionality, and 17 sub-criteria. The significance of this new approach is that it allows stakeholders to evaluate their websites and determine how to improve them in order to achieve their vision and mission

Development of an Approach to Evaluate Website Effectiveness

The internet has been used by individuals, organizations, and governments for business, sports, health, banking, advertisement, education, and other services. Many websites have been developed and designed in the last several decades. However, most have not been developed and designed according to a shared set of design standards. Consequently, there is a need for an approach to evaluate the effectiveness of a website. A literature review was conducted to develop such an approach. Four experts were then consulted to inspect and evaluate the approach, and a questionnaire was completed by three categories: Internet users, website developers, and others to determine its final version. This research resulted in the development of an approach to evaluate website effectiveness, composed of three major criteria: design, content, and functionality, and 17 sub-criteria. The significance of this new approach is that it allows stakeholders to evaluate their websites and determine how to improve them in order to achieve their vision and mission

Multilevel Service-Provisioning-Based Autonomous Vehicle Applications

With the recent advances and development of autonomous control systems of cars, the design and development of reliable infrastructure and communication networks become a necessity. The recent release of the fifth-generation cellular system (5G) promises to provide a step towards reliability or a panacea. However, designing autonomous vehicle networks has more requirements due to the high mobility and traffic density of such networks and the latency and reliability requirements of applications run over such networks. To this end, we proposed a multilevel cloud system for autonomous vehicles which was built over the Tactile Internet. In addition, base stations at the edge of the radio-access network (RAN) with different technologies of antennas are used in our system. Finally, simulation results show that the proposed system with multilevel clouding can significantly reduce the round-trip latency and the network congestion. In addition, our system can be adapted in the mobility scenario

Using a Resnet50 with a Kernel Attention Mechanism for Rice Disease Diagnosis

The domestication of animals and the cultivation of crops have been essential to human development throughout history, with the agricultural sector playing a pivotal role. Insufficient nutrition often leads to plant diseases, such as those affecting rice crops, resulting in yield losses of 20–40% of total production. These losses carry significant global economic consequences. Timely disease diagnosis is critical for implementing effective treatments and mitigating financial losses. However, despite technological advancements, rice disease diagnosis primarily depends on manual methods. In this study, we present a novel self-attention network (SANET) based on the ResNet50 architecture, incorporating a kernel attention mechanism for accurate AI-assisted rice disease classification. We employ attention modules to extract contextual dependencies within images, focusing on essential features for disease identification. Using a publicly available rice disease dataset comprising four classes (three disease types and healthy leaves), we conducted cross-validated classification experiments to evaluate our proposed model. The results reveal that the attention-based mechanism effectively guides the convolutional neural network (CNN) in learning valuable features, resulting in accurate image classification and reduced performance variation compared to state-of-the-art methods. Our SANET model achieved a test set accuracy of 98.71%, surpassing that of current leading models. These findings highlight the potential for widespread AI adoption in agricultural disease diagnosis and management, ultimately enhancing efficiency and effectiveness within the sector

The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes

 With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient

The Simulation and Prototyping of a Density-Based Smart Traffic Control System for Learning Purposes

 With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span

IoT based smart home automation using blockchain and deep learning models

For the past few years, the concept of the smart house has gained popularity. The major challenges concerning a smart home include data security, privacy issues, authentication, secure identification, and automated decision-making of Internet of Things (IoT) devices. Currently, existing home automation systems address either of these challenges, however, home automation that also involves automated decision-making systems and systematic features apart from being reliable and safe is an absolute necessity. The current study proposes a deep learning-driven smart home system that integrates a Convolutional neural network (CNN) for automated decision-making such as classifying the device as “ON” and “OFF” based on its utilization at home. Additionally, to provide a decentralized, secure, and reliable mechanism to assure the authentication and identification of the IoT devices we integrated the emerging blockchain technology into this study. The proposed system is fundamentally comprised of a variety of sensors, a 5 V relay circuit, and Raspberry Pi which operates as a server and maintains the database of each device being used. Moreover, an android application is developed which communicates with the Raspberry Pi interface using the Apache server and HTTP web interface. The practicality of the proposed system for home automation is tested and evaluated in the lab and in real-time to ensure its efficacy. The current study also assures that the technology and hardware utilized in the proposed smart house system are inexpensive, widely available, and scalable. Furthermore, the need for a more comprehensive security and privacy model to be incorporated into the design phase of smart homes is highlighted by a discussion of the risks analysis’ implications including cyber threats, hardware security, and cyber attacks. The experimental results emphasize the significance of the proposed system and validate its usability in the real world