MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Electronics & Communication Engineering

The human ear is a very delicate, sensitive and complex organ. Woefully, any damage to the ear, whether through any disease, injuries, revelation to extreme loud noise, some medicines or may be the effects of old aging, can cause the ear to damage or glitch. Approximately 467 million people in the whole world are suffering from hearing loss and 34 million of these are kids, but only few people out of this statistic use the hearing aid. The drawbacks and disgrace associated with wearing a hearing aid due to large size, patient's dissatisfaction with the performance of hearing aid, the cost and the life of battery. Considering present hearing impairment all over the India as well as world, it is very much necessary to explore new technology and idea to satisfy the need of deaf people in the society.This paper explains the concept of various audiograms for speech processing in hearing aid, various algorithm for impedance matching, various techniques for filter bank signal processing algorithm using Fast Fourier Transform and Wavelet transform and echo cancellation techniques [5] that have low complexity in terms of hardware, a lesser power dissipation, consumes lesser area, so that the total power dissipation consumption and area and size of the hearing aid can be minimized and will also enhance speech Intelligibility by using suitable filter. © 2019 IEEE.

Engineering and Technology

World University root node

2019 IEEE Pune Section International Conference, PuneCon 2019

Study of Audiogram for Speech Processing in Hearing Aid System

International Conference on Recent Innovations in Computer Science and {\ldots}

Recurrent Neural Networks on EEG Based Classification for Brain Computer Interface

Fuel injection system is an indispensible part of thepresent day automobiles. The depletion of the fuels along withcontinuous surge in the fuel prices has made it imperative to usefuel economically and restricting the wastage to a minimum.Contrary to the carburetor, using predefined amount of fuelirrespective of the environment, Fuel Injection System uses justthe required amount of fuel based on the operating conditions assensed by the Engine Control Module (ECM). Numerousparameters are required to be sensed by the ECM to achieveoptimum efficiency of the engine. To handle the processing ofsuch large number of parameters, a robust architecture isrequired. This paper presents the design and implementation ofECM utilized in Electronic Fuel Injection (EFI) system on a FieldProgrammable Gate Array. The ECM architecture discussed inthe proposed system is computationally efficient enough to fulfillever-increasing functionalities of the ECM. The main objective ofthis research is to sense the parameters required for the ECManalysis and to interpret and analyze this data and accordinglycontrol the solenoid (actuator). The CAN controller is alsodeployed in an FPGA to facilitate the communication betweenECM and Human Machine Interface (HMI) to indicate theparameters sensed by the sensor on the LCD. The target device(FPGA) for this work is Xilinx Spartan 3E and the design tool isXilinx ISE 14.7 with the ECM and CAN controller being modeledin Verilog Hardware Description Language (HDL).

Fulltext

International Journal of Innovative Technology and Exploring Engineering (IJITEE)

FPGA Based Engine Control Module for Fuel Injection System

Li-fi technology transferred information via LEDs. It's a rapid and low worth remote correspondence framework, contrasted with Wi-Fi. It will provide huge protection, monstrous data measure, and low worth. This innovation was expected as a reaction to the constraints on RF information measurement. An indoor path is useful to everybody, and for the outwardly disabled it is particularly fundamental. It utilizes an unaccredited range which is not covered with RF commotion. In addition, almost many indoor areas have an enough amount of daylight sources and supply extra safety as Li-Fi is unable to pass through any objects. We tend to project for the visually weakened such a roadmap to guide them in indoor places. Led produce unmistakable light alongside area data and the information is obtained from the inserted structure or cell phone with the recipient. The installed device/mobile phone figures the best way to achieve an assignment and by a voice yield address a blind individual. © 2019 IEEE.

LiFi and Voice Based Indoor Navigation System for Visually Impaired People

Printed Circuit Board (PCB) is said to be the heart of the electronic automation system. Components of different sizes, shapes are used for assembling the PCB. With the advancements in the technology, complexity of PCBs has also increased and also number of components to be assembled on PCB is also increased. Missing components are to be verified before testing the operation of the system. Wrong component placement may cause complete failure of the system. Proposed system does the automatic inspection of the assembled PCB using image processing techniques. The proposed system uses image pre-processing techniques, image subtraction, and extraction of region properties to find defect in assembled PCB. This system detects multiple missing components as well as wrongly placed components. It provides ease in inspection of assembled PCB and provides accurate results. © 2019 IEEE.

2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019

Computer aided system for inspection of assembled PCB

In major congenital heart ailments comes Atrial Septal Defect (ASD). Many techniques viz. ECG, MRI, Ultrasound etc., are in use to detect ASD. Performance of heart is analyzed by the Doctors through test results or observations of heart Ultrasound. In this research work it is proved that the disorder ASD is detected using the technique of block matching and optical flow. These algorithms enables the doctors or experts to detect ASD automatically and hence reduces the dependency on humans. This paper proposes a new Elongated Horizontal Large Diamond Search Pattern (EHLDSP) and Optical Flow algorithm for detection of ASD based on MV. Experimentation was carried out on A4C view of 2D Echo Cardiogram, collected form the hospitals as well as from open available database. Ground truth image is used by the cardiologist to compare the results. In this paper, performance of the proposed Elongated Horizontal Large Diamond Search Pattern (EHLDSP) method is compared with other techniques on the basis of cost functions like PSNR and computation complexity. EHLDSP algorithm is used to check the pixel movements and to calculate Motion Vector (MV), followed by the estimation of the displacement of blood cells from either right to left or vice versa. This will help in the reduction of dependency on specialized doctors or human factor can be reduced. For automatic detection of abnormality, research is going on in this area to make it fast and accurate. Proposed algorithm reduces the average computation by providing speed improvements of about 91% over FS/ES and about 6% over existing DS. Also, EHLDSP has shown improvements in the PSNR value in comparison with other methods.

International Journal of Engineering and Advanced Technology (IJEAT)

Tracking of Blood Movement in the Heart using Elongated Horizontal Large Diamond Search Pattern and Optical Flow Technique for Enabling the Detection of Atrial Septal Defect

Wireless sensor networks (WSNs) are composed of a large number of sensor nodes that are deployed at target locations. Topology control (TC) is one of the significant fundamental challenges in WSNs because of node energy and computing power constraints. TC algorithms try to produce reduced topology by preserving network connectivity. This study presents a novel TC algorithm based on binary Grey wolf optimisation. It uses the active and inactive schedules of sensor nodes in binary format as well as introduces fitness function to minimise the number of active nodes (ANs) for achieving the target of lifetime expansion of the nodes and network. The proposed algorithm is compared with other TC algorithms. The result reduces a minimum of 10% of ANs and energy consumption by 6.84%. The proposed approach also gives maximum coverage and connectivity. The designed fitness function also benefits in the process of selecting a node with low residual energy to join the active topology. The standard deviation in the remaining energy for the proposed algorithms is lower than the other TC schemes.

IET Wireless Sensor Systems

Binary grey wolf optimisation-based topology control for WSNs

Ultrasound waves due to their inherent small wavelength can be used in diagnosis or evaluation of tissue.Ultrasound simulations can be useful to investigate and analyzedifferent properties at different sites especially when there is novolumetric data available. In the proposed paper, simulation ofultrasound in a 2-D bone model and hardware implementationhas been presented. Due to complex structures of bone, a simplelinear model consisting of both cortical and cancellous bone hasbeen proposed. In the simulation, a broadband emitter withcenter frequency of 1 Megahertz is used along with an array ofreceivers to capture the signal. An attempt has been made tocalculate bone density parameters in-vivo for human feet, andfinally display the computed parameters onto a LCD usingArduino Uno Board. An algorithm involving fourier transformswas used to calculate Broadband Ultrasound Attenuation (BUA)and Speed of Sound (SoS) in Matrix Laboratory (MATLAB).

International Journal of Innovative Technology and Exploring Engineering(IJITEE), ISSN:2278-3075

Measurement of Bone Density Parameters using Ultrasound and Hardware Development on bone density Measurement

This paper presents a versatile approach to implement BPSK (Binary Phase Shift Keying), QPSK (Quadrature Phase Shift Keying), FSK (Frequency Shift Keying), QFSK (Quadrature Frequency Shift Keying), M-PSK (M-ary Phase Shift Keying) and M-FSK (M-ary Frequency Shift Keying) on a Zynq 7000 All Programmable SoC which can find application in SDR (Software Defined Radio). The designs are implemented using Verilog HDL (Hardware Description Language) and the tool used is Vivado IDE (Integrated Development Environment) 2017.4 by Xilinx. The system follows a modular approach to make the design easy to modify and reuse. The design approach followed is a top-down portraying the primary modules and then moving into details of each module implementation. The Sine wave is generated using a look-up-table and the phase or frequency values of the sine wave produced is dependent upon the modulating message bits. With symbol sample frequency selection input the design is able to switch the rate at which the input message symbols are sampled facilitating the design to switch between message symbol sampling rate on the fly. These features of the design can find potential applications in SDR (Software Defined Radio). © 2018 IEEE.

Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018

Implementing PSK and FSK Scheme in Zynq-7000 FPGA for SDR Applications

Conventional vehicles has been responsible for increasing the pollution levels in entire world. Analysis of climate data has shown that formally stable glaciers have begun to melt which causes rise in sea-level and puts cities near coastline to greater risk of flooding. An environment-friendly substitute for gasoline vehicles is electric vehicles which runs through battery. As some of the control units of electric vehicles vary from gasoline vehicles, instrument cluster development for electric vehicle needs different techniques. There are embedded development boards and microcontrollers developed specifically to serve automobile applications. Also there exists software to develop graphical user interface which can run in embedded boards. This survey paper enlists various techniques in terms of hardware and software which can be implemented to design a digital instrument cluster for electric vehicles. © 2018 IEEE.