Volume 15, Issue 3, July-August 2024

Mathematical Modelling of COVID-19 and Diabetes Comorbidity Under Vaccination

Florence Adongo, Titus Aminer, Benard Okelo, Benson Onyango


Abstract- The COVID-19 infection is a double challenge for people infected with comorbidities such as cardiovascular, cerebrovascular and diabetes. Comorbidities have been reported to be risk factors for the complications of COVID-19 infection. In most cases, people with diabetes have much higher rates of serious complications, low rate of recovery and higher mortality rate compare to people without diabetes. According to WHO data from 13 countries evaluated, revealed that 10.2% case of death of patients with and diabetes compared of 2.5% death of patients with COVID-19 only. In this paper, we formulate a mathematical model of COVID-19 and diabetes comorbidity under vaccination. This model will contribute to knowledge in mathematics, which will be used by researchers for future references and analysis.

Keywords- COVID-19, Comorbidity, Compartment, Diabetes, Mathematical Model and Vaccination

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Real-Time Data Transmission and Monitoring for Coal Mine Underground Using IoT Smart Helmet

Adeel Amjad

Computer Science Department, University of Engineering and Technology Lahore, Pakistan

Abstract- Real-time smart helmets have been created to find dangerous occasions and gases in the mines. Smart helmet is not only the advancement of head protectors, but we have considered the main dangers in the mine. The first fixation level of different gases, for example, carbon, methane, and NO2, and their related issues. The creation of this helmet is focused on the mine to supervise and monitor the different hazards present in mines by using IoT Technologies. We aim to develop such a helmet based on a wireless sensor network that provides real-time surveillance and predicted warnings based on an intelligence system. Detect harmful gases in the mining areas and use GPRS to monitor different safety problems in coal production using IoT technology. Its generator emergency alarm sounds using a buzzer when any harmful gases are detected, or a person does not hold a helmet on the head even while a person's Heartbeat is reaching the threshold value. This research addresses the limitations of developing an IoT-based smart helmet that ensures the safety and the situation Awareness of our minors in the Mining industry.

Keywords- Helmets, IoT, Mining and Real-Time Data

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Integrating of Corm Grating and Leaf Sheath Decorticating Machine

Gelgelo Kibi, Gizachew Tefera

Oromia Agricultural Research Institute, Bako Agricultural Engineering, Research Center, P.O Box 07, West Shoa, Bako

Abstract- Enset processing, in Ethiopia at present, is labour demanding and time consuming activity which calls for technology to make it efficient and lighten the burden on women. Additionally, multipurpose enste processing machine was not developed. So, engine operated enset processing machine that can grate the corm and decorticate the leaf sheath of enset was adapted. The machine was consists basically three parts; the hopper, the grating and decorticating drum. All these components are mounted on an angle iron frame that has trapezoidal shape. All machine parts that contacts with the enset while processing are food graded materials. The machine assembly is powered engine of small horse power of 5hp. Enset processing machine that can grate the corm and decorate leaf sheath of the enset was adapted. The machine was easy for fabrication, transport and can be affordable by farmers. It was recommended for conducting performance evaluation of the machine at the most produced enset farmers’ to determine the performance of the machine.

Keywords- Development, Grating, Decorticating and Enset

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A Review on Performance Prediction Models for Battery Life in IoT Networks

Syed Faizan Alam Zaidi, Junaid Arshad, Syed Farrukh Alam Zaidi

Department of Computer Science, University of Engineering and Technology, Lahore, Punjab 54890, Pakistan
Department of Metallurgical and Materials Engineering, University of Engineering and Technology, Lahore, Punjab 54890, Pakistan

Abstract- The Internet-of-Things (IoT) has revolutionized virtually every sector, providing new and improved solutions through connectivity. Nevertheless, the prudent monitoring of power in the case of IoT gadgets continues to be an obstacle. This paper explains the importance of forecasting the early death of batteries to optimise the life and performance of an IoT network. In addition, this paper extensively reviews the data-driven models to predict the lifetime of battery especially, neural-nets approach - machine learning (ML) models. This paper analyzes the wide range of ML models applied in the remote sensing domain and provides an extensive evaluation of their strengths and weaknesses regarding their performance. Furthermore, the paper provides interesting recommendations to mitigate the identified limitations in these methods to improve the accuracy of the battery lifetime predictions. This review aims to guide future research efforts towards the development of robust and effective strategies for battery life conservation in IoT networks.

Keywords- Performance Prediction Models, Battery Life and IoT Networks

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Wireless Sensor Networks for Environmental Monitoring in IoT: Challenges and Opportunities

Muhammad Aleem Subhani, Mudassar Rafique, Junaid Arshad, Mubarka Rafique

Department of Computer Science, University of Engineering and Technology Lahore, Pakistan
Department of Computer Science, National College of Business Administration & Economics, DHA Campus, Lahore, Pakistan

Abstract- This review paper explores the challenges and opportunities in deploying wireless sensor networks (WSNs) for environmental monitoring within the Internet of Things (IoT) framework. It discusses the pivotal role of communication in enabling IoT systems and highlights the importance of reliable communication for ensuring the reliability and availability of IoT applications. The evolution of wireless technology from analog cellular networks to 5G and beyond is examined, along with its widespread applications across various industries. Despite its benefits, wireless technology presents challenges such as spectrum scarcity, interference, and security vulnerabilities. Innovative solutions and collaborative efforts are essential to address these challenges. The paper also delves into the future prospects of wireless technology, emphasizing ongoing research efforts to enhance network performance, scalability, reliability, and energy efficiency. Emerging technologies like millimeter-wave communication and massive MIMO hold promise for reshaping the wireless landscape and unlocking new opportunities for innovation. Overall, the paper underscores the pivotal role of wireless technology in shaping the digital ecosystem and driving economic growth, emphasizing the need for innovation and collaboration to realize its full potential.

Keywords- Internet of things (IoT), Wireless sensor Networks (WSNs), Environmental Monitoring Challenges, Sensor Technologies, Data security & Privacy, Energy-Efficient Sensor Networks and IoT Security in Environment Monitoring

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