This study examines the transformative role of ResearchGate in improving collaboration among Library and Information Science (LIS) researchers. By exploring the myriad features and possibilities, this study uncovers how it has redefined the way professionals in LIS engage with one another, share their findings, and contribute to the advancement of their field. The emergence of digital platforms has revolutionized the landscape of academic collaboration, and ResearchGate stands as a beacon of opportunity for researchers in the field of LIS. This research examined how the utilization of ResearchGate fosters increased collaboration among LIS researchers. This study employed existing ideas through a literature review. The benefits of leveraging ResearchGate in LIS collaboration are undeniable. This study contributes to the usability of ResearchGate for collaboration among LIS researchers. As LIS researchers collectively forge a path toward a future where collaboration is at the forefront of advancement, ResearchGate has emerged as a pivotal instrument to empower them.
Gas leakages are a worldwide threat and adversely affect the lives of all living beings. These gas leakages can increase poor air quality across most parts of the world, which is one of the primary reasons for the declining health and increasing diseases among humans and animals. It is essential to start tracking these gas leakages before they cause problems. In Malawi, due to the current shortage of energy and power, people have turned to other sources of energy and power, frequently using gas for cooking and other activities. Therefore, there is a high and increasing number of gas leakage threats, which are becoming a significant concern for our daily lives in Malawi. Therefore, controlling gas leakage will be essential. With an IoT-based system, a system has been created that can detect gas leakage and monitor safety whenever gas equipment is being used at home. It will use the Brute Force algorithm and the BCrypt algorithm as well, which is a password hashing function.
The ESCOM (Electricity Supply Corporation of Malawi) currently faces difficulties in monitoring and controlling critical parameters, such as electricity generation, transmission, and distribution in real-time. Inefficient energy management, lack of fault detection mechanisms, manual interventions, and limited data-driven decision-making capabilities are hindering ESCOM's ability to deliver reliable and efficient electricity services to the people of Malawi. The main objective of this work is to address the pressing challenges faced by ESCOM (Electricity Supply Corporation of Malawi) in effectively managing and optimizing electricity distribution within their infrastructure. This paper introduces an IoT-based industrial management system designed to tackle these challenges and enhance ESCOM's operational efficiency, energy management, and overall performance.
A blockchain is a decentralised, unchangeable ledger that makes it easier to track assets and record transactions in a corporate network. In a blockchain network, anything valuable may be recorded and traded, lowering the risk and increasing efficiency for all parties. It has the potential to drive cost-saving efficiencies and enhance the consumer experience through traceability, transparency, and tradeability. Blockchain-based Supply Chain Management (SCM) can provide services to participants to inquire about product details, cost, quantity, quality, availability of products, location and other significant information. It provides transparency and agreement-outsourced contract manufacturing and enhances an organization's position as the main leader in responsible manufacturing. In this study, blockchain and its effects on SCM are discussed, along with security issues and solutions.
Gas leakage is of significant concern in industrial, residential, and commercial settings. It can lead to disastrous consequences such as explosions and fires, making its detection a critical issue. The accurate and timely detection of gas leaks is crucial for preventing catastrophic accidents and ensuring the safety of people and property. The aim of this study is to detect gas leakage using a CNN-based approach. Industrial gas-detection sensors and their placement are discussed. Sensor selection and placement are crucial to obtain accurate results. The smart monitoring system of the sensor data and monitoring mechanism are discussed in this study. CNN is promising and more accurate for gas leakage detection than the existing models for gas leakage detection.
