International Journal of Innovation in Engineering
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Markov Lifetime Prediction Model for Wireless Sensor Network
Get PDFThe Wireless Sensor Network (WSN) consists of sensor nodes that can communicate with each other via wireless transceivers to gather information from the environment. Sensor nodes are often placed in critical areas that are difficult to reach, sometimes in large numbers, and are unpredictable when the battery runs out on WSN. Thus, replacing the sensor node battery is difficult or even impossible. On the other hand, frequent battery replacement due to critical battery performance makes it uneconomical and unmeasurable. This paper proposes a lifetime battery prediction model for WSN. What is new in this study is that the battery lifetime is influenced by three factors, namely temperature, humidity, and data movement. Temperature and humidity significantly affect the battery lifetime, while data movement has little effect. Predictions of battery types one to four, with energy depletion (ED) consisting of Temperature, Humidity, and data movement. Each battery with these characteristics has a different lifetime; type one battery has a lifetime of 0.5 years, type two battery has a life of 0.16 years, type three has a life of 0.17 years, and type four has a lifetime of 0.4 years
IOT-ENABLED SMART BUILDINGS: ADVANCEMENTS IN ENERGY MANAGEMENT AND SECURITY SYSTEMS IN URBAN INFRASTRUCTURE
Get PDFThis paper explores the advancements in energy management and security systems within IoT-enabled smart buildings and their transformative impact on urban infrastructure. The integration of Internet of Things (IoT) technologies has revolutionized how buildings operate, offering innovative solutions for optimizing energy consumption, enhancing operational efficiency, and improving the safety of inhabitants. Through real-time data monitoring and automation, IoT devices facilitate dynamic energy management, reducing waste, lowering costs, and enabling predictive maintenance to prolong the lifespan of building systems. In parallel, IoT-driven security systems provide advanced features such as remote surveillance, smart access control, and real-time threat detection, ensuring a higher level of protection for occupants and assets. This paper also examines key case studies in smart urban development and discusses the challenges and future potential of IoT in the sustainable growth of cities. Ultimately, the study highlights the role of IoT in shaping smarter, more resilient, and energy-efficient urban environments
Adoption of Fourth Industrial Revolution Technologies in the Construction Sector: Evidence from Previous Studies
Get PDFThe construction industry will benefit more from the Fourth Industrial Revolution (4IR), which will enhance output, efficiency, teamwork, and product quality while advancing sustainability and safety. However, there is a shortage of studies in developing nations on using 4IR technologies in building construction. Determining the elements that affect the effectiveness of technology implementation and comprehending the capacity of construction businesses to embrace new technologies is essential. The degree of technological development of the construction market in an emerging economy can be assessed through the potential for implementing innovation and the factors that may influence technological development. A questionnaire-based survey was administered to construction professionals. The findings indicated that most innovations are still in the early phases of implementation in the construction industry and that acceptance of these technologies varies by firm size and stage of the building lifecycle. Additionally, virtualization technologies tend to foster the gradual adoption of new technology. In addition to identifying possible obstacles and facilitators of adoption in the context under analysis, this study offers a framework to help with decision-making about adopting 4IR technologies at various stages of the lifespan of building projects
Effect of Strategic Leadership on the Performance of Nestle Foods Nigeria Plc
Get PDFThe digital age has posed challenges to organizations in the 21st century. Strategic leadership is one of the most important problems that organizations are currently confronting. The investigation looked at how strategic leadership affected the performance of Nestle Foods Nigeria Plc. The research specifically examined how strategic direction setting, strategic core competencies, and strategic alignment affect the performance of Nestle Foods Nigeria Plc. A survey research design was utilized, and data were obtained from 32 company management staff using an online questionnaire. The data retrieved from the participants were analyzed using mean, standard deviation, and regression using the Statistical Package for Social Sciences (SPSS version 23). The results indicated that strategic leadership practices (strategic direction setting, strategic core competencies, and strategic alignment) positively and significantly affect firm performance. The study concludes that strategic leadership substantially affects the performance of the company. The study suggested, among other things, that the company's vision statement be revisited often to take into account newly emerging environmental dynamics. This would guarantee that the company's future goals are reflected in the vision
MECHANICAL BEHAVIOR OF CONCRETE BY REPLACING FINE AGGREGATE WITH GROUND GLASS AND SAWDUST
Get PDFGround glass and sawdust are products that are commonly discarded, causing a negative impact on the environment; however, they can be reused in the construction sector; thus, the purpose of this research was to evaluate the mechanical properties of concrete by substituting ground glass and sawdust in proportion to the weight of fine aggregate. A total of 216 concrete samples were prepared for the evaluation of compressive strength, tensile strength, flexural strength, and modulus of elasticity, for which concrete samples formed a control group without any addition, and three experimental groups were formed by samples with substitution of ground glass in percentages of 10%, 20%, and 30%, and sawdust in percentages of 10%, 15%, and 30%. The analyzed results showed that the combination of substitution of 20% ground glass and 10% sawdust improved the mechanical properties of the concrete, increasing its value by 2.65% for compressive strength, 1.68% for flexural strength, and 6.51% for modulus of elasticity, corresponding to the design of f'c= 280 kg/cmΒ². Likewise, there was a 3.18% decrease in the tensile strength test. Based on the above, it is concluded that the substitution of ground glass and sawdust contributes to a minimal improvement in the mechanical properties of the concrete
Behavior of Concrete Beam Encasing Castellated Steel Section with Different Types of Concrete
Get PDFThis research examines the behavior of composite castellated beams (CCB) encased in concrete with variable pore diameters. Use two distinct varieties of concrete [Normal Strength Concrete (NSC) and High Strength Concrete (HSC)] and two different opening sizes (depth 140 mm and depth 280 mm). The stud connections integrate the steel and concrete components when shear connectors are employed with full interaction. Under two-point loading conditions, if evaluated, four composite beams were simply supported. The structure's utmost pressure support capacity was assessed. The castellated beams are among the numerous characteristics evaluated when the test results employ two concrete varieties. The final load percentages increased by approximately 16% due to the hexagonal opening size of 140 mm that the sample encountered when using HSC. Compared to the same sample when using NSC, the mid-deflection and horizontal displacement percentages are also reduced by 11.2% and 1.2%, respectively. Additionally, the sample with the same aperture exhibited a higher ultimate burden during full interaction. The model experiences less deflection and a greater bearing when employing HSC
Develop a recommender system based on a novel approach to the RFM customer segmentation model (A Case Study of GreenWeb Co.)
Get PDFAlong with the development of the digital economy, companies providing web hosting services and e-commerce infrastructure are increasing. Therefore, today, segmenting customers and recommending suitable products have become critical strategies for maintaining a competitive edge. With the rapid growth of online shopping, customers often make purchasing decisions based on their needs and desires. Salesforces can play a crucial role in influencing customers' decisions, so making a product recommendation system is essential. Such a system has various applications and can encourage customers to purchase additional products. In this study, we present a method for recommending products to customers that utilize the RFM (Recency, Frequency, Monetary) model to segment customers into eight classes and make interesting recommendations. To evaluate the performance of the proposed system, we conducted experiments using data collected from GreenWeb Co., This company mainly offers services such as Cloud Hosting, Web Applications, UI/UX Design, Mobile Applications, and online integrative services. The results show that after implementing the proposed recommender system, the average purchase amount of customers in 8 RFM label categories has increased by about 13.79%. At the same time, the number of tickets per customer has decreased by 9.68%, and as a result, the workload and cost of products have decreased., which represents loyal customers. Therefore, similar companies can use this solution to encourage customers to purchase higher-priced products to increase sales and customer satisfaction
The hidden transitions between stability, traffic intensity, and chaos of the non-stationary E_(-k) /M/1 queueing system
Get PDFThis research investigates the unexplored domain of negative k parameters within dynamic systems, focusing on their influence across stability, traffic intensity, and chaotic phases. Using an iterative computational framework, we examine the sigma function (Ο) to characterize system responses under varying conditions of k and Ο. Visualizations and insights demonstrate transitions between phases for a first-time-ever exploration for negative values of the number of sets of phases, namely k, with novel findings extending foundational studies. This work establishes a baseline for further explorations of negative parameter spaces in complex systems. It is to be noted that the current work provides new contributions to Ismailβs Contemporary Pointwise StationaryΒ Fluid Approximation Theory by offering a comprehensive computational framework for exploring dynamic system behaviors across varying parameters
Evaluating Blockchain-Based Supply Chain Challenges (A Survey)
Get PDFBlockchain technology is an emerging technology that will have a significant impact on the business of organizations. One of the influential areas of blockchain technology is the supply chain sector. Supply chain is a network of people and companies that focuses on the production and distribution of a specific product or service from the stage of primary producers to customers and consumers. Most supply and distribution networks face problems with managing all these components together. Many problems of current supply chains can be solved through blockchain technology; Because blockchain offers us very good and pristine ways to record, transfer and share information. The literature in this field is more focused on the technological sector and pays less attention to other sectors. In this research, it is emphasized the need to pay attention to the relationships between supply chain partners and change management when adopting this technology. Also, the current research identifies some of the challenges of adopting blockchain technology with a comprehensive view for the first time and places these challenges in a new classification. These challenges are classified in the groups of organizational challenges, inter-organizational challenges, external/environmental challenges, and technological challenges
Harnessing the Power of Business Analytics and Artificial Intelligence: A Roadmap to Data-Driven Success
Get PDFThis paper explores the intersection of business analytics (BA) and artificial intelligence (AI) and their profound impact on modern enterprises. The integration of advanced analytics techniques and AI algorithms enables organizations to extract valuable insights from vast amounts of data, optimize decision-making processes, and gain a competitive edge in today's data-driven economy. This paper presents an overview of business analytics and AI, their key concepts, methodologies, and applications. Furthermore, it highlights the benefits, challenges, and ethical considerations associated with leveraging these technologies, providing guidance for successful implementation. By harnessing the power of business analytics and AI, organizations can unlock new opportunities for growth, efficiency, and innovation