IOT PROJECT

Identification and Visualization of Hazardous Gases Using IoT

Abstract:

              Air pollution is increasing exponentially because of natural and human causes. Adverse effects of air pollution are not only limited to human beings, flora and fauna but are extended to the historical monuments as well. Thus, air monitoring has become an imperative task for society. Atmospheric Air Surveil System (AASS) comprises of a portable model for the remote web-based monitoring of Carbon Monoxide (CO) and Carbon Dioxide (CO ₂ ) gases in outdoor regions. The sensor mote (device) consists of a microcontroller, gas sensors and Global Positioning System (GPS). The calibrated sensor grid is used to measure the concentration of the gases from surrounding which are then processed using the microcontroller. The processed data from the motes are transmitted to the cloud via the Internet of Things (IoT). Using MQTT (Message Queuing Telemetry Transport) protocol these data are fed to the server after which, they are stored in the Data Acquisition (DAQ) unit. The dashboard is provided for the visualization of the stored data. Email notifications, activity log, Geographic Location Verification (GLV) and Device Authentication (DA) functionalities are provided. Also, the authorized user can control the whole device from a remote location. This system is tested for the scalability.

NS2 PROJECT

A wireless sensor network localization algorithm based on particle swarm optimization aided least square support vector machine

Abstract:

                   This paper is focused on the localization problems of scattered nodes in the traditional wireless sensor network. A node localization method based on particle swarm optimization aided least square support vector regression is proposed. Firstly, the nearest neighbor clustering algorithm is used to determine the data type, where the nodes closest to the unknown node are employed as the clustering center. Then, a distributed structure based on the meshing of wireless sensor network is presented. Finally, the particle swarm optimization aided least square support vector machine algorithm is proposed for the wireless sensor network localization. Numerical experiments show that the proposed method is accurate and effective in wireless sensor network localization problems.

POWER ELECTRONICS PROJECT

Electrical and Electronic Technologies in More-Electric Aircraft: A Review

Abstract:

               This paper presents a review of the electrical and electronic technologies investigated in more-electric aircraft (MEA). In order to change the current situation of low power efficiency, serious pollution, and high operating cost in conventional aircraft, the concept of MEA is proposed. By converting some hydraulic, mechanical, and pneumatic power sources into electrical ones, the overall power efficiency is greatly increased, and more flexible power regulation is achieved. The main components in an MEA power system are electrical machines and power electronics devices. The design and control methods for electrical machines and various topologies and control strategies for power electronic converters have been widely researched. Besides, several studies are carried out regarding energy management strategies that intend to optimize the operation of MEA power distribution systems. Furthermore, it is necessary to investigate the system stability and reliability issues in an MEA, since they are directly related to the safety of passengers. In terms of machine technologies, power electronics techniques, energy management strategies, and the system stability and reliability, a review is carried out for the contributions in the literature to MEA.

POWER SYSTEM PROJECT

Congestion Management based Optimal Sizing of PV System using MultiVerse Optimization Algorithm

Abstract:

                 The Congestion management of multi bus i.e 30 bus system is assessed by optimal sizing of PV system in this research paper. The recitation analysis of PV system has carried out in 30 bus system for the development of power system security through MATPOWER software. When the multi bus system goes an unexpected loading, its stability and security of the system is disturbed. It is required better results, it is required better the security from the disturbance of the areas. Here, the system is monitoring by continuation power flow (CPF), because of to improve the congestion situation of the systems. The various operating conditions like without PV system and with PV system tuned by Multi verse optimization algorithm. It has used to evaluate the performance of the proposed systems. The result shows, the system with PV system properly is tuned by this algorithm. It produces better result than the systems without PV.

VLSI PROJECT

Design of Reconfigurable Digital IF Filter With Low Complexity

Abstract:

                     Due to limited frequency resources, new services are being applied to the existing frequencies, and service providers are allocating some of the existing frequencies for newly enhanced mobile communications. Because of this frequency environment, repeater and base station systems for mobile communications are becoming more complicated, and frequency interference caused by multiple bands and services is getting worse. Therefore, a heterodyne receiver using intermediate frequency (IF) filters with high selectivity has been used to minimize the interference between frequencies. However, repeater and base station systems in mobile communications employing fixed IF filters cannot actively cope with the usage of multiple frequency bands, the application of various services, and frequency recycling. Therefore, this brief proposes a reconfigurable digital IF filter with variable center frequency and bandwidth while achieving high selectivity as existing IF filters. The center frequency of a filter can vary from 10 MHz to 62.5 MHz, and the filter bandwidth can be selective to one of 10 MHz, 15 MHz, and 20 MHz. The proposed digital filter also reduces the complexity of adders and multipliers by 38.81% and 41.57%, respectively, compared to an existing digital filter by using a filter bank and a multi stage structure. This digital IF filter is fabricated on a 130-nm CMOS process and occupies 5.90 mm ² .