https://www.ijcsnt.com/index.php/IJCSNT <p><strong>INTERNATIONAL JOURNAL OF COMPUTING, SCIENCE AND NEW TECHNOLOGIES (IJCSNT)</strong></p> <p>Welcome to International Journal of Computing, Science &amp; New Technologies (IJCSNT).</p> <p>IJCSNT is a scholarly academic journal which publishes the best in research works. Its mission is to provide an outlet for quality research papers to a global audience. The journal is aimed at publishing papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability.</p> <p>The journal publishes articles in the areas of computing, science, engineering, technology, environmental and applied natural science fields. Such fields include computer science, environmental and earth science, software engineering, cyber security, information system, information technology, statistics, mathematics, physics, energy studies, all fields of engineering and technology, surveying and informatics, applied biological sciences, applied chemical sciences, urban and regional planning, agricultural science, etc. We have drawn editors and reviewers from different universities across the five continents, making it to be an international journal. </p> <p>At IJCSNT, we stand strong because we have zero tolerance for plagiarism, and we know that global challenges make way for new innovations, new ways and new talents.</p> <p> </p> <p><strong>CALL FOR PAPER</strong>:</p> <p><strong>ONLINE MARCH 2024 PAPER SUBMISSION</strong>:</p> <p><strong><u>IMPORTANCE NOTICE</u></strong>:</p> <ul> <li>Manuscript Submission: Anytime of the month</li> <li>Acknowledgement Notification: Within 24 hours</li> <li>Acceptance Notification: Within 10 days</li> <li>Online Paper publication: Within 4 days after payment</li> <li>Hard copy Paper publication: <strong>30</strong><strong>^th</strong><strong>March, 2024</strong></li> </ul> <p><strong>Submit your latest original research paper to ijcsntjournal57@gmail.com.</strong><strong><br /></strong><strong>You will get response immediately.</strong></p> Novena University en-US International Journal of Computing, Science and New Technologies (IJCSNT) https://www.ijcsnt.com/index.php/IJCSNT/article/view/56 <p>The integration of sensor technology in automated gate systems has revolutionized access control and convenience in residential and commercial settings. This comprehensive research article examines the design, implementation, and optimization of automatic garage gate opening systems using various sensor technologies including ultrasonic, infrared (IR), Radio Frequency Identification (RFID), Passive Infrared (PIR), and Internet of Things (IoT)-enabled sensors. The study analyzes sensor selection criteria, system architecture, microcontroller integration, safety protocols, and performance metrics. Additionally, this article explores recent advancements in artificial intelligence and machine learning applications for predictive maintenance and enhanced security features. The findings demonstrate that multi-sensor fusion approaches combined with intelligent control algorithms significantly improve system reliability, response time, and user experience while maintaining robust safety standards. Implementation considerations, cost- benefit analysis, and future research directions are also discussed to provide a holistic framework for developing next-generation automated gate systems.<strong>&nbsp;</strong></p> Ebih U. J. Chinenye L.E-O Oyakhilome C.O. Copyright (c) 2026 IJCSNT 2026-03-31 2026-03-31 7 2 1 4 https://www.ijcsnt.com/index.php/IJCSNT/article/view/58 <p>The increasing demand for intelligent safety and automation has accelerated the adoption of the Internet of Things in smart environments. This paper presents the design and implementation of a voice-enabled IoT-based multi-hazard detection and automated control system with cloud integration. The system employs multiple sensors to monitor critical conditions, including gas leakage, fire, water intrusion, and unauthorized motion. An embedded microcontroller processes sensor data and triggers automated responses such as alarm activation, gas shut-off, load isolation, and water pumping.</p> <p>A voice prompt module is integrated to provide real-time auditory alerts, enhancing situational awareness and enabling hands-free interaction during emergency scenarios. The system is further connected to the ThingSpeak cloud platform for real-time data transmission, visualization, and remote monitoring. Experimental evaluation demonstrates detection accuracy exceeding 90% and response latency below 3 seconds. The proposed system provides a unified framework that integrates multi-hazard detection, automation, voice interaction, and cloud connectivity, offering improved efficiency and usability over conventional IoT-based systems. It is suitable for deployment in smart homes and safety-critical applications.</p> Obinna S. Oguejiofor Ihechi C. Chukwuma Stephen N. Ukagu Copyright (c) 2026 ij 2026-05-31 2026-05-31 7 2 5 15