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The overall attempt addresses the merging of Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things (IoT) technologies to benefit power usage in intelligent buildings. Traditional methods for energy management are often limited in their power to adjust to dynamic conditions, which brings about wastefulness. In this study, a system for the Internet collects data in real-time from several sensors, such as temperature, occupancy, and energy usage. ML algorithms are deployed to this data for predictions and to optimize utilization of electricity trends. The technology automatically changes lighting, HVAC, and other building functions to lower energy use without affecting tenant comfort. A simulation-based test bed is created of assessing the system's performance. Results demonstrate a large reduction in power usage compared to conventional procedures, leading to higher energy efficiency and cost savings. The study underlines the potential of AI, ML and IoT to alter smart decisions about the structure and contribute to sustainable energy practices.

This paper uses a thorough case study experiment to examine the real-world applications of IoT-driven innovations within the context of Industry 5.0. The factory floor has a temperature of 32.5°C, a warehouse humidity of 58%, and a safe pressure level of 102.3 kPa on the manufacturing line, according to an analysis of IoT sensor data. A 5.7% decrease in energy use was made possible by the data-driven strategy, as shown by the office's CO2 levels falling to 450 parts per million. The case study participants, who had a varied range of skills, were instrumental in the implementation of IoT, and the well-organized schedule guaranteed a smooth deployment. Key Industry 5.0 indicators, such as +2% in production efficiency, -5.7% in energy usage, -29% in quality control flaws, and +33.3% in inventory turnover, show significant gains. Key metrics evaluation, data-driven methodology, case study, Industry 5.0, IoT-driven innovations, and revolutionary potential are highlighted by these results.

This paper presents an innovative device-to-device (D2D) network adapted to optimize the rail experience for both passengers and carriers. The meaning of the proposed system is a smart wearable device specially designed for wearers. This device serves two purposes, enabling fair dynamic pricing based on baggage weight and length of trip, and facilitating health monitoring by continuously checking vital signs such as heart rate and pulse. In case of an emergency, the device is equipped to send timely notifications to both the passenger mobile application and the railway service. For passengers, the D2D network offers a variety of proximity services that enhance their rail experience by providing real-time location information to various facilities such as taxis, hotels, restaurants and internet hubs. An integrated application has been developed to further enhance the passenger experience. This app helps with porter booking, fare estimation, taxi booking and hotel search, contributing to a smooth travel experience. The portable portable prototype is built on state-of-the-art technology that includes modules such as ESP32 and pulse sensors for connectivity, monitoring and pricing. Rigorous tests have demonstrated the feasibility of a D2D network in implementing key functions such as concierge health monitoring, location-aware passenger services, and fair pricing mechanisms. While the results show promising progress, there are recognized areas that need further refinement. These include improving the accuracy of remote monitoring, optimizing health monitoring algorithms and strengthening network security measures. This paper presents a robust D2D network architecture that benefits both carriers and passengers at train stations. Addressing certain pain points and using technological innovations. The proposed system shows its potential to significantly improve the overall railway experience.

Road accidents and fatalities are leading causes of death, which is leading the burden to the public heath in India. This study aims at understanding the road accidents and reduction in road accidents in different regions of India. It has been found that Tamil Nadu has the highest number of road accidents followed by Kerala, Madhya Pradesh and others. Furthermore, the major factors like poor condition of roads, lack of use of safety equipments and poor traffic rules lead to increasing the number of road accidents. The government initiatives like awareness campaigns, identifying and rectifying black sports, vehicle engineering has contributed to improving road safety in India.

To improve military personnel's overall health and operational efficiency, the Soldier's Health Monitoring and Position Tracking System integrates innovative technology in a comprehensive way. Military commanders are guaranteed complete situational awareness with this system's combination of real-time health monitoring and exact position tracking. Vital physiological indicators including heart rate, temperature, and blood oxygen levels are continuously collected and analysed as part of the health monitoring element. The measurements are sent wirelessly to a command centre, so any possible health problems may be identified quickly and responded to quickly. In order to keep meticulous records of each soldier's exact whereabouts in the field, the system simultaneously makes use of cutting-edge GPS and INS technology. The seamless integration of geo-spatial information with health data gives commanders a comprehensive picture of the troops' physical state and where they are. Military authorities may make educated judgements based on the collective health and positioning data using the system's user interface, which provides an intuitive dashboard for real-time monitoring. The data will be sent to the command centre via the Internet of Things. Components of the suggested system include gearbox modules, small wearable physiological equipment, and sensors. As a result, the suggested gear may be used to provide a cheap method of protecting the precious human life on the battlefield. Using global positioning system (GPS) and cellular service mobile phone (GSM) technology, this device can wirelessly monitor the soldier's vitals, including his or her heart rate and temperature.

The main concerns with electrical distribution networks are the degradation of power quality. The main culprit behind this problem is non-linear technology, specifically switching devices and power electronics converters. Power supply efficiency, system efficacy, power factor loss, etc. Are all adversely impacted by non- linearity. It is necessary to compensate for the reactive power since it has increased as a result of the power factor drop and does not contribute to the transmission of energy. In this project, Artificial Intelligence based controllers have been proposed for improving Power Quality in Grid connected Distribution System. This is used to reduce the harmonics of current and other correlated power quality issues caused by reactive power. With the aid of the MATLAB/ SIMULINK toolkit, these control approaches are to be simulated. In this paper, we examine whether ANN or ANFIS is the most appropriate method.

This research article explores the viability of biodegradable nanomaterials for sustainable food packaging applications. The study involves a thorough analysis of the materials, including material characterisation, mechanical testing, barrier testing, and biodegradation tests. The material characterisation demonstrates a consistent distribution of nanoparticles throughout the polymer matrix, as validated by SEM and TEM examination. XRD analysis also indicates the presence of crystalline phases in the nanomaterials. FTIR spectroscopy is a technique that can identify specific functional groups and chemical bonds in a substance, allowing us to get knowledge about its composition and compatibility. Ongoing research and development are crucial to enhance the efficiency and economic feasibility of packaging materials made from biodegradable nanomaterials. This will help advance the sustainability of the food packaging sector.

Monitoring solar power facilities closely is crucial for maximizing power output. This involves vigilant oversight to detect issues such as faulty connections, malfunctioning solar panels, and dust accumulation that hampers efficiency. To facilitate seamless integration with photovoltaic (PV) systems and pinpoint faults, this project unveils the hardware architecture of a smart grid home gateway. The proposed solution is an automated Internet of Things (IoT) based solar power monitoring system, allowing remote monitoring of solar power performance via the internet. Utilizing an Arduino-based system integrated with CT and Voltage sensors, the project measures and monitors various solar panel properties. Faults are identified by comparing the recorded voltage of the panels with the data from the Voltage sensor. The solution efficiently communicates power output to the IoT system over the internet, ensuring continuous monitoring of solar panel performance.

This research examines the life cycle costing (LCC) of concrete produced using recycled concrete aggregates (RCA) combined with sustainable fibers, including carbon nanofibers and natural sisal fibers, as substitutes for traditional natural aggregates. A series of concrete mixtures were formulated with RCA content levels of 0%, 50%, and 100%, incorporating various fiber combinations, while some mixtures were further enhanced with supplementary cementitious materials such as fly ash (FA) or silica fume (SF). The study included a thorough assessment of mechanical properties, including compressive strength, flexural strength, and split tensile strength, to evaluate the performance of these concrete mixtures. The findings indicated that the integration of sisal and carbon nanofibers significantly improved mechanical properties, suggesting that while using 100% RCA (Mix C9) resulted in a slight reduction in strength, it still outperformed conventional concrete. This research highlights the economic advantages of utilizing RCA and sustainable fibers in concrete formulations, demonstrating how life cycle costing can provide a framework for promoting sustainable construction practices that enhance resource efficiency and minimize overall project costs in the context of a circular economy.

The wear behaviour of AISI 431 stainless steel was examined under a dry sliding touch at compatible load with the vacuum tempering cycle. The method adopted was found to be effective in enhancing the wear conduct of stainless steel products, there by advancing the pliability quality. For the sample, vacuum tempering (VT) procedure for (VT1) 2 hours, (VT2) 4 hours and (VT3) 6 hours respectively, a low temperature heat procedure was performed. Untreated stainless steel was used as a kind of viewpoint tool for contrast with specific hardening samples and observed wear check. The hardening samples expose those moulded hard layers which improve the hardness of the surface. Predictions of small scale hardness showed a significant change in hardness during diagnosis. This operation improves the hardness of the material to up to 150 percent. For wear inspection, a pin on the disc drive is used to assess wear failure. The layers were observed by optical lens magnification and examination under electron magnifying lens.

The wear behaviour of AISI 431stainless steel was investigated at consistent load under a dry sliding touch with vacuum annealing device. The approach implemented was found to have been effective in improving the wear actions of stainless steel products, advancing the pliability properties. For Vacuum Annealed (VA1) 2 hours, Vacuum Annealed (VA2) 4 hours and Vacuum Annealed (VA3) 6 hours respectively, a low temperature heat treatment was performed on sample for the maximum annealing cycle. Untreated stainless steel (UNT) was used as a kind of viewpoint tool for contrast with specific hardening samples and conducted wear checks. The hardening samples show certain hard formed layers which enhance the hardness of the surface. Estimations of small scale toughness showed a crucial improvement in toughness following operation. This method raises the hardness of the substance up to 150 percent. A pin on the disc drive is used to do wear checking to assess wear failure. The layers were represented by optical lens magnification and the examination of electron magnifying glass.