2018-19

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ALCOHOL DETECTION AND CAR IGNITION LOCKING SYSTEM”
(2019-06-17T10:26:41Z) S. SUHAS; NAMRATHA B.R; SANJEEV JAYASURYA. S
This system is aimed at making vehicle driving safer than before. The main purpose behind this project is “Drunken driving detection”. Now days, many accidents are happening because of the alcohol consumption of the driver or the person who is driving the vehicle. Thus, drunk driving is a major reason of accidents in almost all countries all over the world. We have proposed the detection of alcohol using alcohol detector connected to ARM such that when the level of alcohol crosses a permissible limit, the vehicle ignition system will turn off. Alcohol Detector in Car project is designed for the safety of the people seating inside the car. Alcohol breath analyzer project should be fitted / installed inside the vehicle. And there is auto theft detection of the system is also added which will detect whether the system is present or not in the car. If any of these conditions match then the concerned person will get a msg through GSM along with GPS coordinates.
AUTONOMOUS VEHICLE NAVIGATION AND MAPPING SYSTEM
(2019-06-17T09:55:26Z) NAGARJUN K S; MUKESH; MANMOHAN
Now a days we see automation in every field of engineering. Everyone prefers automation as it helps us to ease our jobs and save time. By the time Google came up with its first autonomous car Waymo LLC (self-driving car) the age of automation had already begun. The system this project focus on is capable of interacting with mobile application and with the help of GPS it can reach given destination. The entire project is split into two parts: hardware and software. Hardware focus on circuit design, interfacing of component, whereas software part is used for mapping and building android applications required to choose the destination by the user. Few of the pre-assumptions on which this project stands on are: It is mainly built for guiding the way and give directions within a campus, the campus is also assumed to be large where there will be footpaths. The vehicle is mainly built to assist the people who are new to the campus by directing them to take proper routes to reach the destination block. This system takes help of OSRM (abbreviated as Open Source Routing Machine) for directing the vehicle. Three main factors any autonomous vehicle depend on is Localization, Planning of path from source to destination and Vehicle control.
BIDIRECTIONAL VISITING SENSING DEVICE WITH REMOTE DATABASE INTEGRATION”
(2019-06-18T10:02:25Z) EKTA SHUKLA; S KRITHIKA; SHIVANI KUMARI
The main objective of our project is to build a bidirectional visitor sensing device using a Node MCU with Wi-Fi (Wireless Fidelity).This system is designed and presented in order to count the visitors of the auditorium, classrooms or other places where the visitors have to be counted and controlled. Depending on the interrupt from the sensors, the system identifies the entry and exit from the visitors. The basic functionality of the device is to count the number of students entering the classrooms at any prescribed hour. When a person enters the room the counter is incremented by one and when the person leaves the counter is decremented by one .The total number of students will be displayed on the LCD display. Our project also logs the data of the students along with the faculty and the subject in that particular hour into the cloud server. The data on the cloud is represented in a user readable format and hence expected to alert the faculty on the count of the students and other required details. The system also facilitates the plotting of graph for the particular day or the month. This is an economical cost reducing system which can be implemented where the visitors have to be monitored and makes it more efficient to make a count in the organisations. Keywords—Bidirectional counter, Wireless Fidelity (Wi-Fi), IOT (Internet of Things), IR Sensor Module, Arduino (IDE)
Breast Cancer Detection Using Machine Learning
(2019-06-13T10:28:46Z) Saahil Rai; Sachin Yadav
Breast Cancer has been one of the major causes of death of women all around the world. Early detection of cancer as well as proper treatment can reduce the risk of deaths. For more accurate diagnosis, Machine Learning can be of great uses to the medical professionals. There are various classifiers in machine learning but in this we present Convolutional Neural Network for the detection and prediction of normal and abnormal breast cancer. For the purpose of developing a model to predict breast cancer Mammograms dataset is used. These datasets are pre-labelled and with the help of this dataset we can develop a more accurate classification model. CNN has been successfully used for diabetic retinopathy screening, bone disease prediction and age assessment, and other problems. And it has been well-known method for image recognition and extraction of features. Pre-trained data sets VGG16, known for providing better prediction and feature extraction has also been implemented. This helps in making the compilations faster and initiating weights in a more approximate manner.
CHANNEL ESTIMATION IN MU-MIMO FOR WIRELESS COMMUNICATION SYSTEM”
(2019-06-13T10:50:14Z) S P RAHUL HUMAR; S RESHMA; SHRUTHI RAJAMANI
The standard mobile technology is in trend of digital transformation, hence challenging new capabilities will benefit research and development as a whole [1]-[2].Enhancements to LTE followed by 5G capabilities will connect wearable computers, a vast array of sensors, and other devices, leading to better health, economic gains, and other advantages [3].5G research and development is pick up pace, and proposed to be deployed in the year 2020 and continue till 2030[4].The current communication system needs to focus on achieving huge capacity in a limited bandwidth due to the ever increasing subscriber base [5]. The MU-MIMO plays an essential role in enhancing the channel capacity and data rates.MU-MIMO offers benefits even when enabled with a single receiving antenna in terms of higher spatial multiplexing gain. Spatially multiplexed MIMO (SM-MIMO) systems can transmit data at a higher speed than MIMO systems using antenna diversity techniques [6-7]. By using MU-MIMO, the complexity of processing the signals as well as cost of hardware implementation is reduced tremendously without compromising on the multiplexing gain [7-8]. Channel hardening will occur as the number of base station antenna increases. Since channel vectors are orthogonal in the case of MU-MIMO, with simple signal processing the effects of multi-user interference can be eliminated [9-11].
CLAY 3D PRINTING USING BOWDEN EXTRUSION TECHNIQUE
(2019-06-13T07:18:32Z) SURAJ R; NANDITHA S; GATTU RAGHUNADHAM
Additive manufacturing technology advancements includes the improvement of a threedimensional item by setting down progressive layers of material over one another. It is a type of Rapid Prototyping, where the three-dimensional model outline is converted into directions and is sent from a PC to a printer. Blueprints are translated into commands, in formats such as the G-Code format. The computer sends these G-Codes to the printer over a serial connection between the computer and the printer. At the other end, the printer interprets the commands sent by the computer and triggers movement using the motors accordingly. 3D printers developed for various applications use different materials. One of the most popular materials used for 3D printers everywhere, is plastic. Further, there are mainly two types of plastics used. In this application, the material used is taken to be semi-solid clay. Clay is chosen as the material because of its eco-friendly nature. Extrusion techniques are the techniques that are used at the extruder block of a 3D printer. Bowden extrusion is the method in which the filament or material is stored separately from the printer. Since clay is a relatively heavy material, when compared to plastics, Bowden extrusion technique is a more practical implementation of a Clay 3D printer.
DESIGN AND ANALYSIS OF mm-WAVE ANTENNA USING SIW TECHNOLOGY
(2019-06-17T10:46:55Z) NIRMAL ANAND; SURAJ DAVIS; VIRUPAKSHA S B
Substrate Integrated Waveguide (SIW) technology allows the construction of several different types of planar antennas. However, when integrated with active components which require DC biasing, it is often the case that the top and ground plane are short-circuited due to the existence of the metallic vias that connect them. Corrugated SIW (CSIW) is proposed to remedy this. CSIW completely swaps out the vias in favour of quarter-wavelength microstrip stubs called “corrugations”. With the absence of a connecting conducting surface between the top and ground plane, the possibility of a shot-circuit is eliminated while still maintaining TE10 type boundary conditions. In this project, a configuration of Microstrip fed CSIW Slot Antenna is proposed and studied. The slots are designed in the top of the CSIW to achieve radiation by interrupting the current flow. The antenna works in the 77 GHz frequency range and is verified and evaluated by Ansys HFSS simulation.
“Design and Development of an Eye Blink Algorithm to Assist MND Patients to Communicate”
(2019-06-17T10:03:02Z) GREESHMA R; DEEXITH S; LOKESHARAO V
Motor Neuron Disease (MND) is a medical condition where the motor neurons of the patient are paralyzed and it is incurable. It also leads to weakness of muscles with respect to hand, feet or voice. Because of this, the patient cannot perform his voluntary actions and it is very difficult for the patients to express his needs. And even the patient face major problem like he won’t be able to communicate with the world. A motor nerve gets damaged and stops working eventually in MND. Thus, the nerves that are damaged connected to the muscles lose the strength eventually. There are several subtypes. In every type, the symptoms that the patients face are in different ways. As the disease promotes, these symptoms of MND lean to overlap. There are many methods introduced for the motor neuron disease patients to communicate with the outside world. Such as Brain wave technique and Electro-oculography. In these techniques, electrodes are pierced through the epidermis of the skin. Thus this method is painful and the patient will be conscious and uncomfortable. And there exists the idea to develop an eye-motion detection system for the paralysis patients.
DESIGN AND IMPLEMENTATION OF 16*16 MULTIPLIER USING VEDIC MATHEMATICS
(2019-06-14T07:19:37Z) PRIYANKA MILTON; PAVANA M; LAVANYA C Y
This project describes the Urdhva-Tiryagbhyam Sutra of vedic mathematics and we have designed multiplier based on this sutra. Vedic Mathematics was described by Sri Bharti and it is an ancient method of mathematics which has a unique technique of calculations based on 16 Sutras which are discovered by Sri Bharti Krishna Tirthaji. In this era , it is required to increase the speed of the digital circuits so that reduces the on chip area and memory consumption. Most of the digital signal processing application, multiplication is one of the key component. Vedic technique of calculation eliminates the unwanted multiplication steps thus reduces the propagation delay in processor this in turn reduces the hardware complexity in terms of area and memory requirement. We excute the basic building block: 16 × 16 Vedic multiplier based on Urdhva-Tiryagbhyam Sutra. This Vedic multiplier is coded using VHDL and synthesized and simulated by using Xilinx ISE 10.1. Next the design of array multiplier in VHDL is compared with proposed multiplier in terms of speed and memory.
Development of Under Water ROV for Drowned Human Body Detection
(2019-06-13T12:54:47Z) Prasanna kumar D; Dilip Kumar R; Mohan Kumar V
A remotely operated underwater vehicle(ROV) is a tethered underwater mobile device. ROVs are unoccupied , highly maneuverable and operated by a crew either aboard a vessel, floating platform or on proximate land. They are linked to a host ship by a neutrally buoyant tether or when in use under rough conditions or in deep water along with TMS.
DIAGNOSIS OF SKIN CANCER USING IMAGE PROCESSING
(2019-06-13T12:50:07Z) AKSHAY REDDY . C; DIVYA TEJA K.S; VIRENDRA SINGH
Cancer is the leading cause of death in economically developed and developing countries and the second leading cause of death in developing countries. Skin cancer is the most commonly diagnosed type of cancer among men and women. Exposure to UV rays, modernize diets, smoking, alcohol and nicotine are the main cause. Cancer is increasingly recognized as a critical public health problem across India. There are three type of skin cancer and they are recognized based on their own properties. In view of this, a digital image processing technique is proposed to recognize and predict the different types of skin cancers using digital image processing techniques and machine learning.
DIGIT RECOGNITION USING ANN & CNN ALGORITHM”
(2019-06-17T11:25:05Z) DEEPIKA S; KARTHIK V; KEERTHI UM
Neural networks is a beautiful biologically-inspired programming paradigm which enables the computer to learn from observational data.The main objective is to recognize digits that exist in different applications.The main challenge falls to the computer to understand various handwriting styles and recognize them as standard handwriting.We also try to compare ANN and CNN based on accuracy.We also try to compare models between two different scripting languages(Python and Matlab).
DIGITAL HEARING AID SYSTEM
(2019-06-17T09:48:50Z) SOWMYA S; LOKESH MULE; SHYLASHREE R
Tradifional hearing aids funcfion in a similar way to a simple radio. All the aspects of sound recepfion. This hearing impairment is more than reducfion in magnitude of volume. It leads to reducfion in reacfion capacifies to some whereas increasing this intensity to other parficular sounds. Our technology shows the diﬀerence between speech and background noise, it allows one sound in and ﬁlters out the other. Today, 11.78% of the world’s populafion is suﬀering from some or the other type of loss in hearing, yet only few of this percentage use a hearing aid. Wearing a hearing aid makes people conscious and uncomfortable, customer are ohen dissafisﬁed with its performance, and the cost associated with a high performance solufion are the major causes of low market penetrafion and less people opfing for use of a hearing aid. Through this use of digital signal processing, digital hearing aid will oﬀer much more than what the normal hearing aid oﬀers. Through this, we propose the possibility of performing signal-to-noise enhancement, ﬂexible gain-processing and digital feedback reducfion among various other applicafions. In this project, the simulafion and analysis of simple digital hearing aid was developed using MATLAB programming language. The implementafion of this conﬁgurable Digital Hearing Aid system includes funcfions like noise reducfion ﬁlter, frequency shaper funcfion and amplitude compression. The target audience for this digital hearing aid system is people with mild and moderate hearing loss since diﬀerent gain can be set to map diﬀerent levels of hearing loss.
ELECTROMAGNETIC BRAKING SYSTEM”
(2019-06-17T11:13:23Z) THYAGARAJ M; SRUSTIK SUBHASH; HITHESH K B
An Electromagnetic Braking framework utilizes Magnetic power to connect with the brake, however the power required for braking is transmitted physically. The plate is associated with a pole and the electromagnet is mounted on the edge .When power is connected to the curl an attractive field is created over the armature in light of the present streaming over the loop and makes armature get pulled in towards the curl. Subsequently it builds up a torque and in the end the vehicle stops. In this task the upside of utilizing the electromagnetic slowing mechanism in car is contemplated. These brakes can be joined in overwhelming vehicles as a helper brake. The electromagnetic brakes can be utilized in business vehicles by controlling the current provided to create the attractive transition. Making a few upgrades in the brakes it very well may be utilized in cars in future. This task intends to make an electromagnetic slowing mechanism model fit for applying brakes with no erosion misfortune and without losing the vitality provided. It utilizes a two electromagnets which keeps running by the supply of intensity from the circuit. Likewise, there is a wheel which is joined to the engine so when the power the provided, by the assistance of engine the wheel pivots. At that point a fan is connected close electromagnets to cool the electromagnets from unnecessary warming. A metal bar is in the region of the electromagnets and wheel so when the electromagnets produces vortex flows which stops the pivoting wheel or rotor.This model encourages in a manner to be an utilized an impediment gear in vehicles.
EMBEDDED SYSTEM
(2019-06-18T09:47:25Z) ANUSHA R; N MEGHA; SAVITA SHIVANAND PATIL
Accident ratio is increasing through every year so that analysis about the accident is very essential. The black box analyse the parameters of vehicles and if any accident occurs we can search for the black box and get those parameters which will help us in analysing the accident. In this project we have developed a prototype which is controlled through Bluetooth. We continuously monitor the vehicle performance
ENVIRONMENTAL MONITORING SYSTEM FOR SMART CITIES USING LORA
(2019-06-18T09:42:16Z) MOHAMMED SABAH M; NAVEEN P
Our Project Environmental Monitoring System For Smart Cities Using LoRa presents the design and implementation of a wireless sensor network based on the LoRa protocol. Sensor nodes with embedded temperature, humidity, luminance, carbon monoxide, methane, alcohol and smoke detection sensors transmit the collected data to a base station (gateway) using LoRa. The base station collects all the data and uploads them to the cloud using GPRS, where data gathered is stored and processed in order to be accessible to users
EXTRACTING THE REGION OF INTEREST USING WAVELET BASED TRANSITION METHOD”
(2019-06-18T07:02:29Z) Radhakrishna C; Tarun Gowda S M; Ramesh Biroji
The proposed method introduces Wavelet based Transition approach to extract the region of interest in real images. The existing approaches used single segmentation algorithms, that leads to poor segmentation results. In order to improve the accuracy, the hybrid segmentation techniques are introduced in this work. Wavelet based transition method which initially decomposes the grey image in wavelet domain. Local variance and Gabor filter are applied on approximate coefficients to extract transition region feature matrix. Using this feature matrix, the corresponding prominent wavelet coefficients of various bands are found. Inverse wavelet transform are then applied on the modified coefficients to get edge image. Later, Otsu thresholding is applied to get transition regions. Further, morphological operations are applied to extract the object regions. The effectiveness of the proposed work is compared with other existing methods using different quantitative measures.
FARMBOT
(2019-06-13T10:53:29Z) SHILPA V; SIDHARTH P; JANARDHAN S P
This project aims to develop a CNC Mechanized Farming Robot which enables to perform simpler task in most efficient way and to preserve the data in the storage devices for future development and advancement. As CNC machinery is widely used and affordable, this combination can be used in the field of agriculture. Plantation of the seed is done by movabl nozzle in X, Y and Z directions. FarmBot open API (Application Program Interface) enable the user to divide the area into multiple parts and allows the user to plant the crop in a defined area. The main objective of the project includes/comprises of creating a universal tool mount, a seeding system and a watering system.The device is used to monitor the healt of the plant and also enables the user to plant the crop in a defined area. However this projec will be a small part of the entire FarmBot, which would help faraway in the development o each subsystem.
“Hybrid Beamforming for Massive MU MIMO-OFDM Systems
(2019-06-14T07:14:42Z) VEDA J; RACHITHA M R; PUNARVA A
5G networks are envisioned to ease the burden on the current infrastructure by offering significantly higher data rates through increased channel bandwidths.Presently, all wireless technologies are operating in 300MHz to 3 GHz band. Due to the shortage of available frequencies traditionally used for mobile communications, mm-wave bands is an alternative. The key essence of 5G wireless networks lies in exploration of high-frequency mmWave band ranging from 3 GHz to 300 GHz. The large bandwidth available at these frequencies helps to offer data rates that satisfy 5G demands. But the mobile environment at these mm-wave bands is far more complex than at the currently used frequencies. Higher propagation losses that greatly vary depending on the environment require an updated network infrastructure and new hardware concepts. Beamforming antenna arrays will play an important role in 5G implementations because even handsets can accommodate a larger number of antenna elements at mm-wave frequencies. Apart from a higher directive gain, these antenna types offer complex beamforming capabilities. Millimeter-wave bands potentially enable high bandwidths. To limit the use of these high frequencies is a result of adverse propagation effects in particular due to obstacles in the LoS.
Implementation of Fractal Image Compression with GUI”
(2019-06-18T09:55:26Z) SNEHA S; THANUJA A; SREE RENUKAKSHITHA J
Fractal image compression is a lossy compression method for digital images based on fractals rather than pixels,which are best suited for textures and natural images,it works on self-similarity property in various fractions of images,relying on the fact that parts of an image often ressemble other parts of the same image.It takes long encoding time and affects the image quality. This code introduces an improved model integrating quantized quad trees and Huffman coding used for fractal image compression.Quantized quad tree method divides the quantized original gray level and color image into various blocks depending on a threshold value besides the properties of the features presented in image.Huffman coding is applied for improving compression quality.Simulation results shows that the quantized quad trees and Huffman coding improved compression ratio and quality derived from the fractal image compression with range block.Different quantitative measures can be found by passing images of different format and dimensions.

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