2018-19

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http://172.16.1.132:4000/handle/123456789/10414

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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.
PLANT GROWTH AND MONITORING SYSTEM
(2019-06-13T07:25:14Z) HARIRAJ R; GOUTHAM R; SURYA V
This project aims to grow plants in a controlled environment agriculture technology platform that uses robotic systems to control and monitor climate, energy and plant growth inside a specialized growing chamber. It aims to enable new farming opportunities in indoor, warehouse-based settings, food production which can be retooled to accommodate high-density urban living and maintain food security. There are several sensors placed inside the environment where all are programmed to monitor the growing conditions for the crop and fine-tune the light exposure, temperature, humidity, carbondioxide level, water cycle, and nutrient exposure according to a present recipe for growing the plant can be downloaded by other users around the globe. Ability to grow plants inside the box is achievable due to gardening practices such as Aeroponics and Hydroponics Key words: Indoor Farming, IoT (Internet of Things), Computer Vision, PCB, Climate Control, Hydroponics, Aeroponics, ATmega, Peltier Cooling
POWERLINE SYSTEM BASED AUTOMATION
(2019-06-13T08:07:34Z) ACHAL B; HEMANTH KARTHIK; PREETI MEHTRY
Power line data communication for device operation offers an alternative means of communication. This provides an efficient means of communication over the existing electrical wiring as a communications medium. Power line communication, communication using existing power lines. The main advantage of this type of communication is the existing infrastructure, which simplifies implementation. Every household would be connected at any time and services being provided at real-time. Using the power-line as a communication medium could also be a cost-effective way compared to other systems because it uses an existing infrastructure, wires exists to every household connected to the power-line network.
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.
REMOVAL OF ARTIFACTS IN MEDICAL IMAGES
(2019-06-13T10:36:04Z) ABBURI GREESHMA; NALLAGOUNI PRIYANKA
Images are produced to record or display useful information or details .Due to flaws in the imaging and capturing process, however, the recorded image always represents a degraded version of the original scene. The undoing of these imperfections is critical to many of the successive image processing tasks .There exists a huge range of different degradations, which should be taken into account, for example noise, geometrical degradations, illumination and color imperfections (under-exposure/over-exposure, saturation) and blur. The area of image restoration (sometimes referred to as image deblurring or image deconvolution) is concerned with the reconstruction or estimation of the uncorrupted image from a blurred and noisy image. Essentially, it tries to perform an operation on the image which is the inverse of the imperfections in the image formation system. In the use of image restoration methods, the characteristics of the degrading system and the noise are assumed to be known. The aim of this work is to provide a concise overview of most useful restoration models .Different types of image restoration techniques like Wiener filter, Inverse filter, Regularized filter and Richardson–Lucy algorithm are described and strength and weakness of each approach are identified. In this project we have designed different filters namely Weiner, gaussian, median , regularised,inverse , Lucy Richardson, and adaptive Gaussian the noise is removed by applying the filtering methods mentioned above.
IMPLEMENTATION OF SPACE VECTOR PULSE WIDTH MODULATION FOR INVERTERS USING MATLAB AND SIMULINK
(2019-06-13T10:40:49Z) AKHIL CHOWDARY M; BUJJA AJAY; T S HIMAKEERTHI
Inverters produce an AC output waveform from a DC source. Three-phase Voltage Source Inverters (VSIs) are used in applications that require sinusoidal voltage waveforms of variable magnitude as well as variabl frequency. These inverters are controlled using control techniques like Sinusoidal PWM (SPWM) and Spac Vector PWM (SVPWM). SVPWM is a sophisticated control technique for generating a fundamental sine wave that provides a higher voltage to the motor and lower total harmonic distortion (THD). Such sophisticated control algorithms become easier to be implement with Field Programmable Gate Arrays (FPGAs) as one of the fundamental advantage is the freedom of parallelism as different parts of FPGA can b conﬁgured to perform independent functions simultaneously. The objective of the project is to design and implement a three phase voltage source inverter using SVPWM control algorithm. The two level inverter topology is implemented on Field Programmabl Gate Array(FPGA) is used for implementing SVPWM control algorithm. The control circuit is designed usin an innovative methodology which signiﬁcantly reduces the complexity of SVPWM implementation. The designed system is tested on a three phase induction motor. The designed system is simulated using MATLAB Simulink software and obtained results ar tested against expected output and veriﬁed to be consistent. Future scope of the project is discussed as well.
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].
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.
PREDICTING THE DIET FOR BALANCED PH OF HUMAN BODY USING DIGITAL PILL
(2019-06-13T11:03:56Z) P. AKHIL REDDY; A. SANJAY KUMAR; P. VENKATA SAI GANESH
A digital pill is basically a sensor used to predict whether the intake of food is good for the particular person to maintain the pH value of his body or not with the help of machine learning algorithm. This has been developed for the internal study of maintaining a good food diet. The DIGITAL PILL helps you maintain the balance of pH value of the body and protects you from abnormality in the body caused by the imbalance of pH. The detection of pH is done when the pill is taken and is diluted with the stomach fluids. The pill stays in the stomach for about two hours continuously transmitting the data to the server and dissolves in the body after its life span. The continuously transmitted data is fed to the ThingsSpeak server and various time vs pH value graph is shown for all the data transmitted and it is transferred to the Node JS server where the data is passed through a processed and trained data set machine learning model and predicts the quality of the food for a particular individual and the data is transmitted to the phone app carried by the user where he gets the notification of the quality of food he consumed.
UNDERWATER ROV
(2019-06-13T12:40:24Z) SALEH JUNAID AHMED; VIDHUT SHARMA
Remotely operated underwater vehicles [ROV] is a remote controlled vehicle which is operated by a person on the surface. These vehicles are bound together by a series of cables and wires that send signals between the user and the ROV. All ROVs are fitted with a camera, driving system and lights. Other equipment’s can be added depending on the requirements of the project. These include mechanical arm, liquid sampler, sensors that measure water clarity and light penetration. We intent to create an ROV to fulfil our mission involving our different tasks.
SMART CONTAINERS FOR LOAD MANAGEMENT
(2019-06-13T12:43:15Z) PRAVEEN P NAIR; RAHUL S; SHIVANI V
This project is an innovative idea to convert the age old traditional containers into smart containers. The implementation of the same is done with the help of a set of sensors and a microcontroller. The smart container implemented can be used for small scale level of containers where the weight of commodity is limited to a small value, period. The system is intended to automatically maintain the level of the container and notify the seller automatically when the minimum value of any commodity in the container is met. The constant human involvement in tracking the commodity level can be avoided to an extent and the overall activity can be reduced. A variety of system configurations are implemented ranging from an active system with microcontroller-based containers instrumented with sensors.
Stress level Analysis Using Brain Computer interface and Salivary Cortisol
(2019-06-13T12:46:21Z) KARTHIK; SUMANTH R; ROOPA D ALMEIDA
Stress is a concept which directly affects a human brain. The problem of stress has beem recognized as one of the major factors leading to a spectrum of health problems. Computer aided artificial intelligence systems for measurement of stress levels would enable a more objective and consistent diagnosis and decisions. In this project there is a design application of a system which detects the stress from a human brain, as a Brain Computer Interface provides a direct channel to interface outside object or device and a living brain. The study involved collection of EEG signals and saliva samples from 23 different male subjects practicing yoga in three different sessions- Resting State, post- physical exercise, post-breathing exercise. Stress Levels are calculated from EEG signals with the help of Feature extraction technique such as Discrete wavelet transform and classification techniques. Simultaneously, cortisol levels are calculated using saliva samples using ELISA kit. A MATLAB GUI is developed to predict the stress level between two sessions of the same individual. The future scope of the project is to develop an Artificial Intelligence system to predict stress levels and cortisol levels of a person using EEG signals as its input.
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.
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.
Talking Energy Meter
(2019-06-13T12:58:04Z) HARSHITHA N; HARSHITHA J R; GURUSHREE BHAT U
In recent years, the demand for electricity has increased in households with the use of different appliances. This raises a concern to many developed and developing nations with the demand in immediate increase of electricity. People are unaware of energy consumed by various appliances. An electricity meter is a device that measures the amount of electric energy consumed by various electrical appliances. The main drawback of previously used traditional meters is that they do not provide information to the consumers, which is accomplished with the help of Talking Energy Meter. As power consumption is increasing day by day there should be more focus on understanding consumption patterns. Traditional electromechanical energy meters are now replaced by electronic meters in domestic as well as commercial applications. This project is aims to design a circuit which helps the consumer in taking care of the electrical energy consumption. This system helps the users by alerting them about the billing status and unit consumption. The “Talking Energy Meter” using ATMEGA328 Micro-controller is an exclusive system which is used to help the deaf and dumb people to announce their requirements using voice module aPR33A3. This aims to provide a user friendly interaction.
SIGN LANGUAGE TO SPEECH TRANSLATION SYSTEM
(2019-06-14T07:01:24Z) Raahul John Alex; IG KEVIN; ABHISHEK GOWDA KM
To provide aid to the deaf and dumb people, where the hand gestures used by them as sign language, for communication with a normal human being in their corporate life. This project is to provide an easy, hassle free two way communication between a physically challenged person and a normal human being. In a corporate life, the amount of communication which is brought about and amount of information passed from one level to another is massive. In order to cope with all these communication barriers for the deaf and dumb people, this device bridges the communication gap. To make the normal human being understand even better, a speech output is delivered by the speaker. To overcome a very busy and communication pouring scenario this device aids to the drawback. Life becomes easier on both sides and time is not wasted showing extra attention to the physically challenged.
PERFORMANCE COMPARISON OF OFDM COMMUNICATION USING FFT DWT AND DTCWT AND ITS VERILOG IMPLEMENTATION.
(2019-06-14T07:06:04Z) PRATAP R; RAMYA R; RADHIKA R
One of the techniques used as a digital signal modulation is called Orthogonal Frequency Division Multiplexing (OFDM) in which a single data stream is being spilt across several narrowband channels at different frequencies. This is achieved to reduce the inter symbol interference and cross talk between signals. Large numbers of orthogonal sub carriers that are closely spaced are used to carry the data on several parallel data streams. High bandwidth efficiency and less interference between the closely spaced carriers are achieved by orthogonality. The conventional OFDM system uses Fast Fourier Transform (FFT) as their basic building block. FFT uses cyclic prefix to reduce the inter symbol interference which reduces the spectral efficiency. In order to overcome these disadvantages, we use Discrete Wavelet Transform (DWT) and Dual Tree Complex Wavelet Transform (DTCWT) replacing FFT. We analyze and compare the Bit Error Rate (BER) and Signal to Noise Ratio (SNR) performance of DWT OFDM, DTCWT OFDM and FFT OFDM. BER is the percentage of bits with errors divided by the total number of bits that are transmitted or received over a given time period. The working of DTCWT is analyzed using one of its properties and implemented using Verilog.
WASTE SEGREGATION USING SMART DUSTBIN
(2019-06-14T07:09:30Z) PAVAN KUMAR S; V HARSHA VARDHAN REDDY; D VEDAVATHI KIRANMAI
The main objective of project is to sort wastes into three different categories, namely metal, dry and the wet waste. Waste segregation means division of waste into dry waste and wet waste. Dry waste includes paper, cardboard, glass tin cans etc. Wet waste on the other hand, refers to organic waste such as vegetable peels, left-over food etc. Separating waste is essential as the amount of waste being generated today causes immense problem. We have proposed the system for segregation of waste using 8051 microcontroller. Waste is pushed onto conveyer belt, the presence of waste is first identified by use of Infra-red sensor at start end of the conveyor belt, the waste moves further for detection with proximity sensor to detect it is metal. If it is detected metal, electromagnet rotates to in a direction to collect the metallic waste and is dropped into dustbin else the conveyer belt moves further, now the moisture sensor detects the wet waste and it is dropped into another dustbin. If the waste present is neither metallic waste nor wet waste conveyer is moved further and the waste is dropped into the dry bin. The rotational bins comes back to dry bin by default. The type of waste detected is displayed on the LCD display.
“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.
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.

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