Evaluating the Effectiveness and Challenges of the Solid Waste Management System in Lilongwe City Council, Malawi
Posture and Stress Detection System using Open CV and Media Pipe
City Council Help Desk Support System
DDoS Attacks Detection using Different Decision Tree Algorithms
Comprehensive Study on Blockchain Dynamic Learning Methods
Efficient Agent Based Priority Scheduling and LoadBalancing Using Fuzzy Logic in Grid Computing
A Survey of Various Task Scheduling Algorithms In Cloud Computing
Integrated Atlas Based Localisation Features in Lungs Images
A Computational Intelligence Technique for Effective Medical Diagnosis Using Decision Tree Algorithm
A Viable Solution to Prevent SQL Injection Attack Using SQL Injection
Paper-based systems for handling crime reporting have become one of the most challenging methods in police services globally. The Malawi Police Service (MPS) uses this system for handling crime reporting. This system presents a number of challenges, such as delay in disseminating crime reports by victims or witnesses, misplacement or loss of crime-recorded files from the police shelves, and inconsistency of suspect documentation due to wrong manipulation or alteration by some individuals in the police offices. This paper focuses on the development of a web-based application for enhancing crime reporting and investigation in the police service. The police service needs to emphasize effective utilization of crime reporting factors to mitigate and reduce the risk of losing evidence. An assigned officer will be needed to supervise the use of the application to be implemented in the police service to make sure it is used for the right purpose. The application will be implemented using PHP, HTML, and Javascript programming languages and a database system using the MYSQL programming language.
The aim of this study is to develop a framework for detecting fake news that integrates semantic analysis with a source credibility algorithm, aiming to improve precision in detecting fake news. The proposed system utilizes semantic analysis, named entity recognition (NER), and a newly proposed source credibility algorithm as its methods. The system under consideration is assessed using the Information Security and Object Technology Research Lab (ISOT) dataset, which comprises news stories. The proposed system is evaluated using metrics such as accuracy and precision. The obtained scores are compared with the scores of baseline models. The proposed approach achieves an accuracy of 99.56%, demonstrating near precision, recall, and F1 scores across news categories. Comparative studies indicate that this method surpasses existing fake news detection tools that rely on content-based filtering techniques. The results show that adding the source credibility assessment algorithm to semantic analysis and NER has improved news detection systems, making them much more accurate and reliable. The results highlight the importance of using natural language processing (NLP) techniques and credibility analysis of news sources in efforts to combat misinformation.
The Virtuous Incubation System is a solution aimed at transforming poultry farming by integrating Internet of Things (IoT) technology into the incubation process. This paper seeks to improve the efficiency and success rate of poultry egg incubation while minimizing manual intervention, reducing resource consumption, and ensuring optimal conditions for embryo development by providing a smart incubator system. The smart incubator addresses the challenges of traditional manual monitoring and adjustments by leveraging IoT devices, sensors, and data analytics to create an automated and intelligent incubation system. It provides energy efficiency by incorporating energy-efficient components to minimize power consumption, thereby reducing operational costs for farmers, and by providing notifications and alerts where critical deviations in environmental conditions or equipment malfunction, enabling proactive intervention to prevent losses. A cross-section of small- to medium-scale poultry producers, particularly those engaged in hatching chicks, were interviewed to highlight the main challenges regarding the business of hatching chicks. It was learned through the interviews that chick production on a small to medium scale was relatively expensive due to the labor employed to monitor the production and losses due to adverse conditions resulting in a poor success rate in hatching the chicks. Thus, the implementation of the virtuous incubation system comes in to solve the main challenges being faced by the local poultry producers.
This paper explores the implementation of Internet of Things (IoT) technology to create a remote-control system for electrical equipment in households. The system offers a unified interface for managing various home appliances, including lights, vertical curtains, and air conditioning units. A private network infrastructure supports a personal cloud service, enabling remote access to appliance controls through the internet. The primary objective of this study is to enhance energy efficiency within households by facilitating convenient and remote management of electrical devices. Through the IoT framework, users can monitor and adjust appliance settings based on environmental conditions, accessed through a web server and user-friendly web applications or smartphone interfaces. Key findings of this paper include the real-time monitoring of electrical parameters through web applications, providing insights into energy usage patterns and opportunities for optimization. By leveraging IoT technology, homeowners can reduce energy consumption and contribute to environmental sustainability while enjoying improved convenience in appliance management. This study underscores the importance of integrating IoT solutions into household infrastructure to promote energy conservation and enhance overall efficiency. The implications of this paper extend to both individual homeowners and broader efforts to mitigate energy consumption in residential settings, ultimately contributing to a more sustainable future.
The Antiretroviral Therapy (ART) management system is a comprehensive software application designed to streamline and enhance the management and monitoring of patients undergoing antiretroviral treatment for HIV/AIDS. The system aims to improve the quality of care provided to ART patients, ensuring accurate treatment initiation, medication dispensing, clinical monitoring, appointment scheduling, adherence monitoring, side effects management, and reporting. By integrating various functionalities, the system enables healthcare providers to efficiently manage patient data, track treatment outcomes, and make informed decisions for optimal patient care. Additionally, the system prioritizes data security and privacy, complying with relevant regulations and employing measures to protect patient confidentiality. Through its integration capabilities, the system fosters interoperability with other healthcare information systems, promoting seamless data exchange and collaboration. Overall, the ART management system serves as a valuable tool in the comprehensive management of ART patients, ultimately contributing to improved health outcomes for individuals living with HIV/AIDS.
