| S.No |
Name of the project |
Abstract |
| 1 |
EFFICIENT IMPLEMENTATION OF LOW-POWER DECODERS THROUGH REVERSIBLE LOGIC GATES WITH MINIMAL TRANSISTOR COUNT |
VLSI, or Very Large-Scale Integration, entails the compression of millions of electronic elements onto a single microchip to craft intricate and robust integrated circuits. In the realm of energy-efficient computing, the demand for low-power decoders, essential components in data processing and communication systems, is paramount. Existing decoder circuits often rely on a high number of transistors, leading to increased power consumption and a larger chip footprint. Current approaches might not prioritize minimizing the transistor count within the XOR gate, a fundamental building block for many reversible decoders. The proposed methodology outlines a comprehensive approach aimed at developing energy-efficient decoder circuits by reducing the transistor count in XOR gates, incorporating reversible logic gates, and leveraging advanced nanometer technologies. Implementation of the decoder circuits is facilitated through the utilization of software tools such as Tanner Tool (Version 2019.2) and Cadence Virtuoso, tailored to accommodate varying nanometer technologies including 45nm, 90nm, and 250nm. In essence, the proposed methodology demonstrated substantial reductions in power consumption while upholding performance standards in decoder circuit designs, thus contributing to the advancement of energy-efficient computing architectures. |
| 2 |
OPTIMIZING RESOURCE ALLOCATION IN ENERGY ENABLED MULTI CLUSTER COGNATIVE RADIO NETWORK FOR HYBRID CONNECTIVITY |
Cognitive networks exhibit programmable and dynamic characteristics, enabling efficient spectrum utilization analysed available spectrum and avoiding channel overlap, these networks dynamically allocate channels without interference. Each node’s transceiver scans for unallocated channels and adjusts its parameters based on neighbouring channel allocations. Various algorithms, such as fuzzy logic and harmony search, enhance spectrum utilization in Cognitive Radio (CR) through spectrum sensing, allocation, and reuse scenarios. However, challenges persist, particularly in mesh networks, where collisions between primary and secondary users occur. The frequency sharing paradigm is introduced, wherein nodes sense and track channel usage. Implementing a Fuzzy-based Energy-Efficient Clustering (FEEC) protocol mitigates interference issues, with cluster-based systems simplifying spectrum sensing and sharing. Beam-scanning techniques, facilitated by directional antennas, monitor node spectrum utilization, minimizing collisions and enhancing performance. Simulations and hardware implementations were validated the effectiveness of FEEC compared to traditional cluster CRN approaches, ensuring improved spectrum utilization in cognitive network. |
| 3 |
AN IMPROVED ENERGY EFFICIENT CLSUTERING PROTOCOL TO PROLONG LIFE TIME OF A WSN BASED ON IOT |
This study presents an innovative approach aimed at extending the battery life of Wireless Sensor Networks (WSNs) by introducing an advanced clustering protocol. The protocol, a fusion of established methods such as PEGASIS and LEACH with novel concepts like dynamic grouping and smart routing, is designed to optimize energy utilization and prolong the operational lifespan of WSNs. The integration of Relaying Networks (RNs) plays a pivotal role in enhancing energy efficiency (EE) by enabling short multi-hop communications that consume significantly less energy compared to direct communication. Through extensive study and analysis, this approach achieves improved network coverage and prolonged network lifetime, showcasing the potential for substantial enhancements in energy efficiency. This advancement empowers IoT devices to operate seamlessly for extended durations without compromising on functionality. The simulation results demonstrate the effectiveness of the proposed protocol, showcasing significant improvements in energy consumption, network lifetime, and overall performance. This research provides valuable insights into the development of energy-efficient protocols for WSNs, paving the way for sustainable and long-lasting IoT deployments. |
| 4 |
KINETIC ENERGY HARVESTING: EMPOWERMENT COMMUNITIESTHROUGHINNOVATIVESPEEDBREAKER POWER GENERATION |
In present day, power has become the fundamental need for human life. The availability and its conjunction is regarded as the index of national standard of living in the present day of civilization. Energy is an important input in all sectors of any countries economy. The objective of this project is to design a setup that leads to generating electricity the energy which is going waste when human climb the stairs. This human energy is utilized and converted into electrical energy. This generated energy is cost effective and nonhazardous for human. Power can be generated through vehicle passing through speed breaker, the generated power will be stored and can be used for domestic purpose. To obtain the above purpose, the experimental setup is designed which contains the structure, dome, rack, spur gear, bearings, shaft, springs, and dynamo. The working principle is based on law of energy i.e. mechanical energy is converted into electrical energy. When force is applied on speed breaker rack and spring get compressed therefore the pinion is rotated. This rotates the chain drive arrangement. The flywheel is coupled with chain drive to regulate the fluctuation and finally the dynamo is connected with the shaft. Thus reciprocating energy is converted into rotating energy and mechanical energy is converted into electrical energy. The energy generated is risk free and pollution free. The way of energy generation is eco-friendly and nonhazardous to human. The output of energy increases as weight increases. The electricity is produced in low budget when mass production and installation is done. The required area is low, no obstructions in traffic, easy maintenance and construction. |
| 5 |
EXPERIMENTAL INVESTIGATION OF THE MECHANICAL PROPERTIES OF ALUMINIUM 8011/SiC/ GRAPHITE HYBRID COMPOSITE |
Our project aims to investigate the effects of the stir casting process on the properties of aluminum alloy 8011 composites reinforced with hybrid SiC and Graphite. The project begins with a detailed literature review on the stir casting process, aluminum alloy 8011, and the mechanical properties of composites. Experimental work involves designing and fabricating the composites using varying reinforcement compositions and processing parameters. Samples will be prepared, and their mechanical properties will be analyzed using techniques such as, hardness testing, tensile testing, compression testing, impact strength testing and flexural strength testing. The obtained results will be compared to the properties of the base alloy and evaluated to determine the effectiveness of the reinforcement and stirring process. The outcome of this project will provide valuable insights into the potential of the stir casting process to enhance the mechanical properties of aluminum alloy 8011.The knowledge gained can be applied to various industries, including automotive, aerospace, and structural engineering, where high-strength aluminum materials are in demand. |
| 6 |
OPTIMIZATION OF PERFORMANCE AND EMISSION CHARACTERISTICS OF COMPRESSIOIN IGNITION ENGINE SUPPLEMENTEDWITHPENTANOL-RAPESEEDOIL-DIESEL COMPOSITION |
In this study, n-pentanol (nP) was used as the common solvent and Rapeseed as the vegetable oil component was used for making micro- emulsification of diesel fuel (D)- vegetable oil blends. Rapeseed oil is selected as a substitute to reduce emission and increase performance and simultaneously increase the usage of eco-friendly fuels based on its physical and chemical properties such a kinetic viscosity, dynamic viscosity, calorific value. The blend ratios of 60% vol. Diesel, 30% vol. Rapeseed oil and 10% vol. n-pentanol in the first iteration and 60% vol. Diesel, 25% vol. Rapeseed oil and 15% vol. n-pentanol in the second iteration was tested in the diesel engine to increase the concentration of biofuels in ternary blends. This blend was prepared via splash blending method. Engine performance tests of the ternary blend were carried out on a four-cylinder, four-cycle turbocharged direct-injection diesel engine at full load with various engine speeds. Test fuels were kept stationary at ambient temperature and the long- term stabilities were observed at 90 days. There were not any phase separations in the ternary blends. Fuel properties of the test fuels were examined and determined to agree with the fuel standards. According to engine performance test results of the ternary blends, brake torque, brake power, brake thermal efficiency (BTE), brake mean effective pressure (BMEP) and exhaustgas temperatures decreased, while brake specific fuel consumption (BSFC) increased as compared to those of diesel fuel. In terms of basic exhaust gas emissions, ternary blends increased nitric oxide (NOx) and carbon monoxide (CO) emissions while reducing hydrocarbon (HC) and carbon dioxide (CO2) emissions as compared to diesel. |
| 7 |
EXPERIMENTALINVESTIGATIONOFPERFORMANCEAND EMISSION CHARACTERISTICS OF DIESEL ENGINE SUPPLEMENTED WITH BUTANOL – OLIVE OIL – DIESEL COMPOSITION |
In this study, n-butanol (nB) was used as the common solvent and Olive as the vegetable oil component was used for making micro-emulsification of diesel fuel (D)- vegetable oil blends. Olive oil is selected as a substitute to reduce emission and increase performance and simultaneously increase the usage of eco-friendly fuels based on its physical and chemical properties such a kinetic viscosity,dynamic viscosity, calorific value. The blend ratios of 60% vol. Diesel, 30% vol. Olive oil and 10% vol. n-butanol in the first iteration and 60% vol. Diesel, 25% vol. olive oil and 15% vol. n-butanol in the second iteration was tested in the diesel engine to increase the concentration of biofuels in ternary blends. This blend was prepared via splash blending method. Engine performance tests of the ternary blend were carried out on a four-cylinder, four-cycle turbocharged direct-injection diesel engine at full load with various engine speeds. Test fuels were kept stationary at ambient temperature and the long-term stabilities were observed at 90 days. There were not any phase separations in the ternary blends. Fuel properties of the test fuels were examined and determined to agree with the fuel standards. According to engine performance test results of the ternary blends, brake torque, brake power, brake thermal efficiency (BTE), brake mean effective pressure (BMEP) and exhaust gas temperatures decreased, while brake specific fuel consumption (BSFC) increased as compared to those of diesel fuel. In terms of basic exhaust gas emissions, ternary blends increased nitric oxide (NOx) and carbon monoxide (CO) emissions while reducing hydrocarbon (HC) and carbon dioxide(CO2) emissions as compared to diesel. |
| 8 |
Optimizing Energy Consumption through Standard-Driven Virtual Machine Integration Strategy in Cloud Context |
In cloud computing environments,the allocation of Virtual Machines (VMs) to hosts typically relies solely on immediate resource consumption, neglecting long-term host utilization. This oversight can lead to inefficient resource usage and performance degradation. To address this, we propose a novel Cloud VM scheduling algorithm employing the Ant Lion Optimization Classifier (ALO). This approach integrates historical VM utilization data to optimize VM placement, aiming to minimize the disruptive impact of management operations on system performance. Furthermore, we tackle resource contention issues by optimizing actual CPU usage among VMs. Through experimentation, we demonstrate the effectiveness of our method, which, through learning and adaptation, surpasses conventional techniques by reducing the number of required physical machines by four. In essence, our approach leverages past resource usage information to enhance resource allocation efficiency in cloud environments. |
| 9 |
ELECTRIC VEHICLE RECHARGE TO FIND NEAREST BUNK |
This project proposes an electric vehicle charging station bunk finder using web application. Transportation electrification is one of the essential components in the future smart city planning and electric vehicles (EVs) will be integrated into the transportation system seamlessly. Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. In this project formulate the Electric Vehicle Charging Slot Booking, in which we minimize the charging station queue for EV charging. |
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