Toc H Institute of Science & Technology was established in 2002. It is located in Arakkunnam, Ernakulam, Kerala, India. The campus has three blocks:The college is headed by principal Preethi Thekkath and follows Bloom's revised taxonomy for education. Dignitaries including former president A.P.J Abdul Kalam, I.S.R.O Chief Dr.G. Madhavan Nair have visited the college..
This study investigates the enhancement in fresh water productivity of a double-slope solar desalination still when coupled with both tracking and non-tracking solar dish concentrators. The primary objective was to quantify the performance differential between the two concentrator types under clear-sky conditions and compare the maximum yields against conventional desalination. Experimental results demonstrated that the maximum daily and hourly fresh water outputs for the tracked concentrator system were 4,050 mL/d and 730 mL/h, respectively. In comparison, the non-tracking system achieved maximum outputs of 2,760 mL/d and 530 mL/h. The tracking system led to a significant overall increase in fresh water production, showing an improvement of 46% compared to the non-tracking configuration and a 100% increase when benchmarked against conventional desalination. The maximum energy consumed by the system utilizing the tracked concentrator was recorded at 23,113 kJ/day. The findings underscore the substantial advantage of solar tracking technology in maximizing the output of solar desalination stills, presenting a viable path toward increased efficiency in passive water purification systems.
The construction industry, with its complex projects and hazardous work environments, is inherently prone to safety risks. Despite efforts to mitigate these risks, incidents resulting in injuries, fatalities, and economic losses continue to occur. Traditional incident reporting methods are often limited by underreporting, delayed responses, and lack of real-time data, highlighting the need for more efficient, technology-driven solutions. To address this challenge, this study aims to develop an automated incident reporting system tailored to the construction industry’s specific needs. A questionnaire survey was conducted among 113 construction site professionals using Google Forms. The results showed that 75
The rapid adoption of Industry 4.0 and Industry 5.0 technologies has made it more difficult for the modern industrial landscape to ensure operational safety in intricate chemical and mechanical environments. Large-scale warehouses, manufacturing facilities, and petrochemical plants are examples of industrial facilities that are still extremely susceptible to dangerous events like fires and toxic gas leaks. Static sensor deployments and sporadic manual inspections are the mainstays of conventional safety mechanisms, which have limited spatial coverage, delayed detection because of airflow dynamics, and increased risk to human personnel.The design, development, and experimental validation of an Autonomous Industrial Safety Surveillance Rover (AISSR), a mobile robotic platform designed for hazard detection and real-time environmental monitoring, are presented in this paper. The suggested system combines infrared flame detectors, obstacle detection sensors, and Metal Oxide Semiconductor (MOX) gas sensors installed on a differential-drive mobile rover. The main processing unit is a Raspberry Pi, which handles wireless communication, autonomous navigation, sensor data analysis, and live video streaming. Low-level motor control is handled by an auxiliary microcontroller. When dangerous conditions are detected, the system initiates a multi-tier alert system and uses an Internet of Things framework to send real-time telemetry to a remote monitoring interface.In comparison to conventional static safety systems, experimental results show that the suggested mobile surveillance approach greatly lowers hazard detection latency and enhances situational awareness. By reducing human exposure to dangerous environments and facilitating proactive, ongoing monitoring, the AISSR successfully improves industrial safety.
Due to fossil fuel shortages and environmental concerns, alternative energy systems have been developed as an economic and environmentally beneficial alternative. The most potential alternative energy source is solar. Before commercialization, solar thermal systems must be more efficient and effective. Increased heat transfer rate and performance parameters are improved with nanofluids. Nanofluids are sophisticated liquid mixtures with nano-sized solid particles suspended. Aluminum Oxide (Al2O3) nanoparticles in water as nanofluids are used to test a Glass Fiber Reinforced Parabolic (GFRP) parabolic solar collector. Particle volume concentrations of 0.02, 0.06, and 0.09
Visual impairment significantly puts a strain on independent decision making during shopping activities such as product identification, price verification, and ingredient evaluation. This work presents Perceiva, an artificial intelligence driven smart glasses system designed to assist visually impaired users through a modular, intent-driven architecture. The wearable platform integrates an onboard camera, microphone, and touch-activated interaction to capture visual and auditory inputs, while a Raspberry Pi Zero 2 W performs edge-level coordination of perception and communication tasks. User commands are processed through a speech-to-text pipeline and analyzed using large language models to determine intent and dynamically activate functional modules, including product identification, currency recognition, medical compatibility analysis, price comparison, scene description, and volunteer-assisted video calling. Computer vision models enable retail product detection, while cloud-hosted reasoning services provide contextual decision support through audio feedback. Experimental evaluation demonstrates the feasibility of the proposed system with practical response latency suitable for assistive shopping applications in retail environments. The compact wearable design aims to enhance independence, accessibility, and informed decision making for visually impaired individuals during everyday shopping tasks.
