Study of Synthesis, Structural and electrical nature of Ba0.9Ca0.1TiO3 ceramic material
Published Date - 19 Apr
BaTiO3 remains a good choice lead free material because of its good dielectric characteristics, environmental friendliness, chemical stability and cost-effective synthesis. Its high relative permittivity (Æʹ) and low dielectric loss make BaTiO3 an excellent choice for several applications. Barium calcium titanate (Ba,Ca)TiO3 is used in electrical material applications. Also, these materials are attracting attention as ceramic capacitors in which dielectric properties of the BT are improved. BCT solid solutions are specifically used in multilayer ceramic capacitor applications and in various other applications like: dielectric filters, antennas, resonators, duplexers and phase shifters, and piezoelectric actuator. Hereby, we focus on the BCT material to synthesize it in solid solution form using solid state route and emphasized on its structural and electrical properties. The sample has been found to crystallize into tetragonal structure (P4mm). The dielectric permittivity is found to be high with low loss tangent values. Impedance studies for frequency dependence revealed to be decreasing with increasing frequency and thereby conduction increases for in both real and imaginary cases. Nyquist’s plot reveals the distribution of relaxation time and hence infers the non-Debye behaviour.
Effect Of Varying Molarity And Tempreture On Geopolymer Concrete
Published Date - 19 Apr
This project explores the influence of different molarities and temperatures on the mechanical and durability properties of geopolymer concrete (GPC). Through systematic studies and experimentation, it seeks to determine optimal conditions for producing GPC with improved performance and environmental sustainability, thereby enhancing its potential as an alternative to traditional concrete.
Hotel Sentiments Explored: A Deep Dive into Customer Reviews
Published Date - 19 Apr
Sentiment Analysis is a machine learning technique designed to interpret human emotions. By enabling machines to comprehend and extract insights from emotions, it becomes a valuable resource for business growth and development. Hotel reviews gathered from guests can be categorized as positive, negative, or neutral, allowing for sentiment analysis. This concise analysis of reviews is crucial for maintaining quality control in hotel services. This project adopts an advanced approach to extracting insights from hotel reviews by leveraging various machine learning algorithms along with BERT (Bidirectional Encoder Representations from Transformers), a cutting-edge natural language processing model. In today's digital era, where online reviews significantly impact consumer decisions, this project aims to innovate how the hospitality industry perceives and responds to customer sentiments, ultimately enhancing guest experiences and overall satisfaction.
The present invention discloses an Internet of Things (IoT) Based Solar Panel Cleaning Robot, aimed at enhancing the efficiency and performance of solar panels by implementing an automated cleaning system. The system utilizes cutting-edge technology, including IoT modules, sensors, and controllers, to detect and remove dust and specks from solar panels. The automated cleaning process is triggered based on predefined parameters, improving power output and reducing the need for manual intervention. The burgeoning demand for sustainable energy sources has intensified the focus on solar power systems, underscoring the necessity for optimizing the efficiency of solar panels. One critical factor affecting the performance of solar panels is the accumulation of dust and particulate matter on their surfaces. Manual cleaning processes are labor-intensive, time consuming, and often impractical, especially in large-scale solar power plants. In response to this challenge, we present an innovative solution: an Internet of Things (IoT)-Enabled Solar Panel Cleaning Robotic System.
Innovative energy theft detection: Centralized observer-based approach for identifying and locating stolen energy
Published Date - 18 Apr
This project introduces a novel approach for identifying energy theft and meter tampering by employing a central observer meter. It aims to detect losses resulting from tampering at the consumer side and tapping energy directly from transmission cables. The prototype comprises two energy meters: one acting as the master energy meter at the power source output, and the other as the consumer energy meter at the cable end. A wireless network, facilitated by RF modules, transmits consumption data to the central observer. Differences in meter readings indicate potential losses due to tampering, cable losses, or direct tapping. The central observer displays data from both meters independently, highlighting any discrepancies as losses. To pinpoint the loss source, each consumer meter requires a transmitter linked to the central observer. This prototype module validates the concept with a single transmitter, demonstrating its potential to detect and address energy losses