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IJSRET Volume 6 Issue 4, July-Aug-2020

The Future of Urban Surveillance using IOT Based 4th Gen Parking Systems
Authors:- Valentine B

Abstract:-Vehicle parking occurs at the intersection of urban space system and mobile management. The first gen or era, or Parking 1.0, hardly had any service offerings except for a simple space-renting model that was managed and operated manually. Then Parking 2.0 offered electronic services such as parking meters that partially automated the fee collection and auditing systems. The present generation, Parking 3.0, provides basic automation that allows users to independently navigate the complete parking life cycle – from knowing the parking occupancy status to ticketing, parking, and fee settlement. In this we are focusing on an eco-friendly system called Automated Valet Parking along with Pollution based parking fees, wireless charging slots and parking lifts provides additional weightage to this system, which uses hybrid robotic valets in smart parking and helps optimizing parking space.

A Review on Support Vector Machine Based Classification of Alzheimer’s disease from Brain MRI
Authors:- M.Tech. Scholar Ekta yadav , Associate Prof. & Head Dr. Jitendra Singh Chauhan

Abstract:-Alzheimer’s disease (AD) is important source of dementia and can cause serious health or socio-economic problems. Alzheimer’s disease is a progressive neurodegenerative ailment that causes changes in brain structure that affect behavior, thought, mood, or memory. Various multivariate analysis algorithms have been used to classify AD to distinguish it from healthy controls (HC). Effective early classification of AD or mild cognitive impairment (MCI) caused by HC are imperative because early preventative care can help reduce the risk factors reported in Alzheimer’s disease. The loss of cognitive ability has only a minor impact on a person’s daily life. The middle stage is the middle stage of AD. In severe AD, a person can no longer operate individually but depends entirely on others for care. In this article, support vector machines SVM and CNN will be used to diagnose Alzheimer’s brain MRI or classify it into definite stages. The algorithm was trained or tested using MRI data from Alzheimer’s disease. The data used included MRI scans of ca. 300 AD patients and 20 regular controls. And evaluate a new automated technique based on support vector machine (SVM) which classifies whole brain anatomical magnetic resonance imaging to distinguish patients by Alzheimer’s disease (AD).

A Review on Heart Disease Prediction by Machine Learning Techniques
Authors:- M.Tech. Scholar Shivangi Agrawal, Asst. Prof. & Hod Ashish Tiwari

Abstract:-We discussing data mining healthcare generation based predicting human diseases in biomedical and healthcare communities, accurate analysis of medical data benefits early disease detection, patient care and community services. We propose a novel methodology for disease predictions in different machine learning algorithms using find the user behaviors.We streamline machine learning algorithms for effective prediction of chronic disease outbreak in disease-frequent communities. The Main focus of this process is to implement a simple, reliable and easily applicable deep learning technique for the classification of the selected two different cardiac categories conditions to the best of our knowledge, none of the existing work focused on both data types in the area of medical big data analytics. Finally finding user behaviour based on given dataset.

Real Time Video Fog Dehazer for Automobiles
Authors:- Nishal P A, Vaisakh Anil, Sivaprasad V B, Linnet Tomy

Abstract:-Drivers know to take it slow and keep their distance from other cars during snow, ice and rainstorms. When it comes to different types of inclement weather, fog often gets overlooked as a serious hazard.Fog is a large cloud of water droplets that forms when air comes in contact with the ground and then cools. This phenomenon is responsible for 38,000 crashes, 15,000 injuries and 600 fatalities every year. These clouds greatly decrease visibility, frequently in the morning and evening.Fog may distort your perception of speed, as you cannot see other objects moving in relation to your vehicle. Therefore traffic in foggy weather conditions is a very important issue and has been widely researched within the field of computer vision. A Video Dehazing software is introduced to counter these problems and thereby reduce the number of accidents. For the project previous image dehazing that are developed over the past decade are reviewed and analyzed. At first,the techniques are categorized into three categories: image enhancement based methods, image fusion based methods and image restoration based methods. Various quality evaluation methods are implemented to make sure the project is capable of removing haze or fog. Finally, extensive experiments determine the performance of proposed system.

A Review on Brain Tumour Classification Using Support Vector Machine and Principle Component Analysis
Authors:- M.Tech. Scholar Nisha Tomar, Asst. Prof. & Hod Ashish Tiwari

Abstract:-Over the years, the enlargement in medical image processing is mounting in a marvellous manner. The rate of increasing diseases through deference to a compilation of category of cancer and other related human problems paves the way for the development in biomedical research. Consequently processing and analyzing these medical images is of high consequence for clinical diagnosis. This work focus on the stage successful classification of brain tumour images and segmentation of brain tumour data set images formulate use of the proposed hybrid logical technique the face up to and objectives on be going to of attribute extraction, image classification and segmentation for medical images will be discussed. The experimental results of proposed technique will be evaluate and validated for presentation and advantage analysis on magnetic resonance brain images, based on accuracy, sensitivity, specificity demonstrating the effectiveness of the proposed method there will be SVM , classifiers Used for identify normal and abnormal tissues from brain MR images.

A Review on Person Recognition using Support Vector Machine and Local Binary Pattern
Authors:- M.Tech. Scholar Priyanka Bhate , Asst. Prof. & Hod Ashish Tiwari

Abstract:-This paper discusses the concept of speech recognition with deep learning methods. Introduction of speech recognition, deep learning and deep learning methods is discussed in this review paper. Models of deep learning that are used in speech recognition is also described in this paper. This paper defines the related work on speech recognition using deep learning methods and about the sphinx, software allow the implementation of speech recognition in java language. The main motive of this review is to define the use of sphinx and eclipse to recognize speech. we will proposed We proposed new technique for human identification using fusion of both face and speech which can substantially improve the rate of recognition as compared to the single biometric identification for security system development. Our system using Viola Jones Algorithm for face detection. The proposed system uses Local Binary Pattern (LBP) as feature extraction techniques which calculate the local features. The Extracted features given as input SVM classifier to used to recognize the person and then display the result. This new system can be applied in various different fields such as identity verification and other potential commercial applications.

Genome Sequencing and Analysis of Cancer Codons
Authors:-Shailesh.D, Anooja Ali, Vishwanath R Hulipalled, Harshitha KB, Swetha Sivakumar, Manjunath C

Abstract:-Genome sequencing helps to identify the variation in genomic structure or to detect the new genomic sequences over the population. This sequence alignment detects the preserved interactome unit among organism. It evaluates the phylogenetic distance among organism of same species or different species and thereby detecting the functional domains, polymorphisms, and mutations. Sequence alignment is the arrangement of the sequences of deoxyribonucleic acid (DNA), ribonucleic acid (RNA) or macromolecule to spot regions of similarity which will be a consequence of practical, structural or organic process relationships between the sequences. In this paper, we detect mutation and the presence of cancer codon using pattern matching and sequence alignment. The sequences are preprocessed using Boyer Moore and k-mer indexing algorithms. Mutations present in the sequence is detected with local and global alignment with Naive approximation. Gene sequencing helps to understand and evaluate the genomic characteristics of an organism at a lesser cost and with great coverage.

A Review on Brain Tumor Segmentation and Classification Using Machine Learning Technique
Authors:- M.Tech. Scholar Nayan Pure , Assistant Professor & Head Ashish Tiwari

Abstract:-The successful early diagnosis of brain tumors plays a major role in improving the treatment outcomes and thus improving patient survival. Manually evaluating the numerous magnetic resonance imaging (MRI) images produced routinely in the clinic is a difficult process. Thus, there is a crucial need for computer-aided methods with better accuracy for early tumor diagnosis. Computer-aided brain tumor diagnosis from MRI images consists of tumor detection, segmentation, and classification processes. Over the past few years, many studies have focused on traditional or classical machine learning techniques for brain tumor diagnosis. Recently, interest has developed in using deep learning techniques for diagnosing brain tumors with better accuracy and robustness. these detection and segmentation approaches are reviewed with an importance placed on enlightening the advantages and drawbacks of these methods for brain tumor detection and segmentation. The use of MRI image detection and segmentation in different procedures are also described. Here a brief review of different segmentation for detection of brain tumor from MRI of brain has been discussed.

A Review on Energy Efficient Sensor Network Routing Protocol for Underwater Sensor Networks
Authors:- M.Tech. Scholar Surbhi Rathore , Assistant Professor & Head Ashish Tiwari

Abstract:- Underwater sensor networks (USN) are a collection of sensor nodes and vehicles for performing the cooperative task in the specified region. In autonomous networks, the sensors and the vehicles are self-organized. The network can alter itself for achieving this goal to the features of the marine environment the water covers 75% of the earth’s surface. Many resources lie underwater. Those are to be investigated. The current advances in technology have prompted the opportunities to try and do underwater explorations by using sensors at all stages. USN is the combination of wireless technology with a very tiny micro mechanical sensor technology that has an intelligent computing, smart sensing, and communication capabilities.

Third Eye for Blind Ultrasonic Vibrator Gloves
Authors:- Asst. Prof. Rakesh Narvey, Asst. Prof. Rahul Sagwal, Harshita Shakya , Nupur Bhardwaj, Pooja Mandre, Neha Rajpoot

Abstract:- In this paper we have researched on the ultrasonic vibrator gloves. This technology is implemented to help visually impaired in indentify the objects that may come in their path within 1.5m in any direction of the glove. When the user of this gloves encounters an object within the range of 1.5m, the glove alerts the user with a beeping sound and vibrations. As soon as the user goes towards the object, intensity of beeping sound will increase. Advantage of this glove is its highly low manufacturing cost which is almost ten times lower than the other technologies are being made of the same purpose. The use of ultrasonic sensors and Arduino lilypad have heavy communications on the gloves, but with the help of other components effect of ultrasonic radiations can be reduced easily. By this, this project can be easy to wearable with less harms and economical in price can lighten up the markets by its features. The main aim was economizing this project so that even the financially weaker may use it.

A Review on Facial Expressions Recognition Based on LBP & SVM
Authors:- M.Tech. Scholar Nagesh Patel, Assistant Professor & Head Ashish Tiwari

Abstract:- Face Expression plays an important role in human communication. Facial Expression Recognition (FER) is process performed by computers which consist of detect the face in the image and preprocess the face region, extracting facial expression features from image by analyzing the motion of facial features or change in the appearance of facial features. Then classifying this information into facial expression categories like prototypic facial expression such as fear, happy, sad or Action Units (AU) such as eye open or mouth stretched concatenated into single feature vector. This feature vector outlines a well-organized representation of face and is helpful in determining the resemblance among images.LBP features which are effectual and competent for facial expression recognition are generally used Firstly, face area is divided in small regions, by which histograms, Local Binary Patterns (LBP) are extracted and then Cohn Kanade is the database will be used for this work and the programming language used MATLAB.

Drunk Driving Prevention and Automatic Bus Pass Tracking by using Image Processing
Authors:- Assistant Professor Malarselvam V, James Ashish A, Peranban D, Arun S, Arulmani P

Abstract:- Now a days manual bus pass checking is done in schools and colleges, and many accidents occurs due to drunk and driving. Due to manual bus pass checking it leads to more time consumption and misusage of bus pass occurs. Our proposed product performs Image processing and finds the unauthorized person entering into the bus. Camera will take a snap of the unauthorized person and it will send the snap to the authority by using IoT. Alcoholic sensor [MQ3] will sense whether the driver is drunk or not, suppose if the driver is drunken the camera will take a snap of the drunken driver and it will send the snap to the person in in-charge by using IoT.

Sentiment Analysis using Deep Learning: A Review
Authors:- Digvijay Singh

Abstract:- Deep learning has evolved as a powerful technique that learns from the features present in multiple layers of the data and produces futuristic predictions. Deep Learning has been impacting many domains such as Computer Vision, Natural Language Processing and many more. As a part of Natural Language Processing, Deep Learning has been being used for the Sentiment Analysis, either to identify the purchase behavior of customers or in recommendation engine to provide them completely amazing user experience. Under this smart internet era World Wide Web such as Social media networks, Survey Forums, Review Sites generate huge amounts of data in the form of user-views, emotions, opinions and arguments about different social events, products, brands, and politics. Sentiments of users that are expressed on the web has great influence on the readers, product vendors and politicians. This unstructured data from the online resources is converted into well-structured meaningful data for Sentiment Analysis, Sentiment Analysis has recognized significant attention and has great impact on the industries. Sentiment analysis is referred to as identifying the feeling of people around us in the form of negative, positive, favorable, unfavorable, thumbs up, thumbs down, etc. One of the challenges in Sentiment Analysis is the lack of labelled data. And to rectify this issue, the sentiment analysis and deep learning techniques have been merged because deep learning models are very effective due to their automatic learning capability. This paper gives an overview of deep learning and then provides a comprehensive overview of its current applications in sentiment analysis.

Sentiment Analysis using Deep Learning: A Review
Authors:- Anushka Yadav, Kalyani Daharwal, Ashwini Kale, Priti Tayade, Asst. Prof. Akbar Nagani

Abstract:-Traffic congestion could be a severe problem in many major cities across the planet and it’s become a nightmare for the commuters in these cities. Traffic are often controlled in several main junctions by incorporating either automatic traffic signal control or traffic police. But conventional traffic signal system is predicted on fixed time concept allotted to every side of the junction which can’t be varied as per varying traffic density. At some times, a priority of traffic light needs to be changed based on more number of vehicles waiting in same road, VIPs vehicles and Ambulance vehicles etc. We propose to style and develop a density based traffic light system. The signal changes and sensing the traffic density . The algorithm design and encoded on Arduino based system, due to its simplicity and economy. IR sensors are used to measure the traffic density on a particular road. IR senser have limitations that it has light intensity issues. In future, it with the improvement in IR sensor technology light issue can be resolved. IR sensors are arranged on all junction point on square to detect traffic density properly, these sensors always sense the traffic on that particular road. All these sensors are interfaced to the Arduino. By these sensors, Arduino detects the traffic and controls the traffic system. The controls of traffic light depend on number of vehicles available on the road. This method also focuses on providing a free pathway for emergency services like ambulances and fire brigadevehicle that are arriving towards the signal by sensing the siren frequency in range 700Hz-900H.

Road Safety Audit In Indian Road With Improvement Of Capacity In Intelligence Transportation System
Authors:- ME Student Yogesh Bhagwan Rathore, Asst.Prof. & HOD Vinay Devualkar

Abstract:-Transportation plays a key role in the development of an area, but it happens only when the transportation is safe, rapid, comfortable and economy. A road is considered safe when only a few, or no accidents occur. Road and its surroundings, road users and vehicles are the elements contributing to road accidents. Pedestrians, bicyclists and two-wheeler motorized riders are the vulnerable road users. The loss of human life due to accident is to be avoided. Road safety audit (RSA) is a formal procedure for assessing accident potential and safety performance in the provision of new road schemes and schemes for the improvement and maintenance of existing roads. These Audit studies or analysis give scope for the reduction of accidents and helps us to provide safe, self-explaining and forgiving roads. By this we can save the precious human life as well as the nation‟s economy. The selected for this study is part of Hyderabad Outer and Inner Ring Roads, HMDA Roads. Knowledge of accidents that have occurred on roads helps us to improve the design of the roads or to influence the behavior of road users, so that similar accidents do not occur again. Literature review will be done for the safe movement of the Road safety audit and will check the merits and demerits of the techniques used previously.

Does Technology Plays A Key Role in Selling A Car?
Authors:- Krishna Innani

Abstract:-A car which is a luxury good in india, but still the demand for the car is increasing day by day. From past few years the automobile market has many new entries which are affecting the indian automobile market largely. This companies are more based on technologies i.e with the common features of a car it is also giving technologies which are attracting more and more customers towards it. This is the research on how the new entries effected indian car companies and few ideas which if indian companies use them, they could acquire the indian market and could give a very tough competition to the new companies. This article also includes the comparison of sales before and after the new companies’ entry in the indian market. This research would help many indian companies to increase the amount of sales of there manufactured car by using the ideas which are presented in the given article. The article is more for Tata Motors as it is my favourite brand in india. If Tata Motors acquire something from this research, I would be very grateful.

A Review Article of Maximum Power Point Tracking Based Transient Analysis of Wind Power Plant
Authors:- Raj Roushan , Professor Anil kumar Kori

Abstract:- This paper reviews and studies the state-of the-art of available maximum power point tracking (MPPT) algorithms. Due to the nature of the wind that is instantaneously changing, hence, there is only one optimal generator speed is desirable at one time that ensures the maximum energy is harvested from the available wind. Therefore, it is essential to include a controller that is able to track the maximum peak regardless of any wind speed. The available maximum power point tracking (MPPT) algorithms can be classified according to the control variable, namely with and without sensor, and also the technique used to locate the maximum peak. A comparison has been made on the performance of the selected MPPT algorithms on the basis of various speed responses and the ability to achieve the maximum energy yield. The tracking performance is performed by simulating wind energy system using MATLAB/Simulink simulation package. Besides that, a brief and critical discussion is made on the differences of available MPPT algorithms for wind energy system. Finally, a conclusion is drawn.

Condition Monitoring of Transformers Based on Sound Signals- A Review
Authors:- Imtiyaz Ahmad, Dr. Yaduvir Singh, Mr. Jameel Ahamad

Abstract:- Power transformers are important and expensive components in the electric power system. The de-regulation of electric power requires a reduction of the service and maintenance cost of the power utilities. Monitoring systems can help to decrease the transformer life cycle cost and to increase the high level of availability and reliability. On line monitoring is the record of relevant data of a transformer. Diagnosis is the interpretation of these monitored data including the history of the transformer and the statistical judgement of the failure rate. The importance of the monitored transformer and the economic consequences are the basis for the asset management of power transformer together with the risk evaluation. This paper attempts to present the different methodologies adopted for on line monitoring of power transformers..

A Review Article Of Enhancement Of Statcom Performance Using Srf Based Shunt Filter Power Transmission
Authors:- M.Tech.Student Chandra Kant Singh, Asst.Prof. Durgesh Vishwakarma2

Abstract:- Power transformers are important and expensive components in the electric power system. The de-regulation of electric power requires a reduction of the service and maintenance cost of the power utilities. Monitoring systems can help to decrease the transformer life cycle cost and to increase the high level of availability and reliability. On line monitoring is the record of relevant data of a transformer. Diagnosis is the interpretation of these monitored data including the history of the transformer and the statistical judgement of the failure rate. The importance of the monitored transformer and the economic consequences are the basis for the asset management of power transformer together with the risk evaluation. This paper attempts to present the different methodologies adopted for on line monitoring of power transformers..

Experimental Study of Pervious Concrete
Authors:- PG Student T. Gowri

Abstract:- Pervious concrete is a special type of concrete with a high porosity used for concrete flat work applications that allows water from precipitation and other source stop as directly through. By this, the runoff from the site is minimized and groundwater is enhanced. It is also called porous concrete, permeable concrete, no fines concrete and porous pavement fines. Pervious concrete can be made with little to no fine aggregates utilizing large aggregates. The concrete paste then covers the aggregates and helps the water to move through the concrete slab. A form of concrete with a high void content of about 30 percent is now becoming common due to its ability to minimize the runoff to drainage systems that can provide a water flow rate of about 0.34 cm / second. It is an important sustainable building technology and is one of the low-impact production techniques used by builders to protect water quality. Pervious concrete often finds its successful use in pavements, footpaths, walkways and highways for low loading intensity parking. The Environmental Protection Agency (EPA) has stated that the pervious concrete is considered to provide pollution control, storm management, and adequate growth. It is a composite substance that is created by combining cement, inert sand and gravel matrix or crushed stone. This concrete has a light color and open-cell structure which prevents them from absorbing heat from the sun; they also do not radiate the heat back into the atmosphere, which reduces heating in the environment. The pervious concrete has low cost of construction. It removes the storm water while reducing the number of contaminants that reach the rivers and ponds. Also, pervious concrete improves tree growth. The action of pervious concrete has been examined experimentally in the present research. The water-cement ratio was maintained at various ratios 0.35, 0.40, and 0.45. Different properties of pervious concrete were experimentally tested, e.g. work ability, compressive strength, split tensile strength, flexural strength at 7, 14 & 28 days. Mixing proportions with aggregate sizes (4.75 mm to 10 mm) give greater strength compared to mixes with aggregate sizes (10 mm to 20 mm) and (4.75 mm to 20 mm), respectively.

Traffic Light Monitoring System using IOT
Authors:- Ayush Kr. Chauhan, Asst. Prof. Saurabh Saxena, Astha Saini, Aakash Singh

Abstract:- To improve the traffic light configuration, this paper proposed monitoring system to be as an additional component to the intelligent traffic light system. This will be able to determine the location of the emergency vehicle and provide the smooth way at the crossroad where the traffic light is placed. On the wide roads a reserve path will be provide for the emergency vehicle so that they can reach their destination as soon as possible. If there is no emergency vehicle on the road that path can be used by normal vehicles. On the traffic light an emergency light added which will indicates the traffic whether there is an ambulance or any rescue wagon is on the road or not. If there is an emergency vehicle on road, the traffic will not use that reserve path. Where roads are narrow there the traffic will be controlled through the traffic light by the controller.

Wi-Fi Based Garbage Monitoring System
Authors:- Jiby Sara James, Nikita Kanojiya, Ruchi Gedam, Bushra Ayesha , Asst. Prof.Tirupati. M. Goskula

Abstract:-Collecting waste is important in order to keep the cities clean for a better environment to live in. Thus, the smarter techniques are used in the surroundings to overview and collect the important information. We have proposed a Wi-Fi based garbage monitoring system which is used to keep the cities clean. The system evaluates and shows the level of garbage collected in the bins through an android app. The android application made to support the project sends all the important information to a person in administrative department. In this way the waste management is automated.

Renewable Energy for Sustainable Development in India: Current Status And Future Prospects
Authors:-M.Tech. Student Poonam Kumari, Asst.Prof. Manish Kurre

Abstract:-Renewable energy sources and technologies have potential to provide solutions to the long-standing energy problems being faced by the developing countries. The renewable energy sources like wind energy, solar energy, geothermal energy, ocean energy, biomass energy and fuel cell technology can be used to overcome energy shortage in India. To meet the energy requirement for such a fast-growing economy, India will require an assured supply of 3–4 times more energy than the total energy consumed today. The renewable energy is one of the options to meet this requirement. Today, renewable account for about 33% of India’s primary energy consumptions. India is increasingly adopting responsible renewable energy techniques and taking positive steps towards carbon emissions, cleaning the air and ensuring a more sustainable future.

A Review Article on Comparison Between Rcc And Composite Materials In Multi Storey G+2 Building
Authors:- Ms. Sangeeta Malakar, Associate Professor Komal Bedi

Abstract:-In India Concrete Is Very Popular Material of Construction Especially In Case Of Medium And Low Rise Buildings. And In Case Of High Rise Buildings Steel Is Generally Used And The Composite Construction Is Not Such Popular But It Is Possible That Composite Construction Can Be More Beneficial In Case Of Medium And High Rise Buildings. Concrete Composite Construction Can Be Built In Place Of RCC Structures To Get Maximum Advantage Of Steel And Concrete And To Produce Efficient And Economic Structures. It Is the Decision Of Contractor Or Owner That Which Type Of Properties They Require In The Field And According To Those Properties The Type Of Material Can Be Chosen. This Paper Shows Comparison Of Various Aspects Of Building Construction For Steel, RCC As Well As Composite Buildings Considering Various Researches Acted On This Topic.

Heat Transfer through Water in Ground Air Heat Exchanger
Authors:- M.Tech. Scholar Swastik Kumar Agarwal, Dr.Shailendra Dwivedi(HOD)

Abstract:- Ground-air heat exchangers have become one of the important topics into consideration when HVAC industry is talked about. It is capable of transferring heat without liberation of any carbon compounds because of which it has edge over other heat transfer mediums. This paper shows the study of water to air heat transfer considering the material of the pipe and the optimal design of the pipe. Earth air heat exchangers are widely used in agricultural and industrial sectors for the past few decades in other parts of the world. The vise-versa is applied in the cooler parts to preheat the air reaching the room for comfort.

Teaching Learning Methods to Enhance Learners Learning Capability
Authors:- Asst. Prof. G. Ramani, Asst. Prof. B. Deepthi, Asst. Prof. R. Deepika

Abstract:- Learning is an art of enhancing the skills with knowledge. The learners are not like previous students to listen the lecture, instead they learn more by involving in the active learning process. We must step forward with the adoption of the changes in today’s learning and encourage and guide the learners for more self-learning which not only increases the learnings but also a raise in their potential of confidence. In this paper We discuss our own experiences the various active learnings and various tools for virtual learning, which makes the learning effective, reachable and outcome.

Embedded Web Client on Arduino Due
Authors:- PG Student Ashwini Pathade, Assistant Professor Poonam Soni

Abstract:- Nowadays, monitoring and controlling is important aspect in industry and home automation. On that basis many systems are measuring and controlling parameters like temperature, humidity, voltage, gas leakage etc. and result displays on different format. Embedded web client is the system which is used to monitor and control parameters like temperature and humidity. Embedded web client gives output in the form of offline mode as well as online mode. On the result basis on two systems are available in embedded web client one is online system and other is offline system. In Embedded web client controller receives data from sensors and transmit it to server periodically as well as perform certain useful functions like to display ADC value and controlling increased temperature. In embedded web client AT SAM 3X8E and NODE MCU used as a controller and display output on LCD as well as web page using XAMPP server. Embedded web client uses wi-fi module instead of router or Ethernet. Embedded web client is easy in construction, robust and gives real time application.

Utilization of Granite Saw Powder Waste in Brick
Authors:- Iswarya E

Abstract:- Nowadays, monitoring and controlling is important aspect in industry and home automation. On that basis many systems are measuring and controlling parameters like temperature, humidity, voltage, gas leakage etc. and result displays on different format. Embedded web client is the system which is used to monitor and control parameters like temperature and humidity. Embedded web client gives output in the form of offline mode as well as online mode. On the result basis on two systems are available in embedded web client one is online system and other is offline system. In Embedded web client controller receives data from sensors and transmit it to server periodically as well as perform certain useful functions like to display ADC value and controlling increased temperature. In embedded web client AT SAM 3X8E and NODE MCU used as a controller and display output on LCD as well as web page using XAMPP server. Embedded web client uses wi-fi module instead of router or Ethernet. Embedded web client is easy in construction, robust and gives real time application.The block is a building material, which is used to build up the structures. The aim of this project is to determine the compressive strength and other characteristic of the blocks. The blocks with clay and granite sawing powder waste, which will give a better understanding on the properties of blocks like compressive strength, water absorption and size and shape of block was good while comparing the other kind of blocks.The scope of this project is to determine and compare the strength of the blocks by using different percentage of clay and granite sawing powder waste. The investigation was carried out by various mix ratios using the laboratory test likes compression test, water absorption test. For strength characteristics, the results showed that a gradually increase in compressive strength, water absorption values in blocks was good while comparing the characteristics compressive strength of bocks.

Fabrication of Abrasive Jet Machine
Authors:- Assistant Professor K Prashanth, D H Pachchinavar,
Students, Mohammed ZaminUlhaq, Owais Ali Khan, Mohammed Azmathullah Shareef, Mohammed Rehan, Habeeb Abdul Rouf.

Abstract:- Abrasive Jet Machining (AJM) is the process of material removal from a work piece by the application of a high-speed stream of abrasive particles suspended in a gas medium from a nozzle. The material removal process is mainly caused by brittle fracture by impingement and then by erosion. The Abrasive Jet Machining will chiefly be used to cut shapes, drill holes and de-burr in hard and brittle materials like glass, ceramics etc. In this project, a model of the Abrasive Jet Machine was designed using CAD packages like AutoCAD and CATIA. Care was taken to efficiently use the available material and space. The machine was fabricated in the institute workshop with convectional machine tools like arc welding machine, hand drill, grinding machine using commonly available materials like mild steel sheet and rod, aluminum sheet, glue, polythene sheet, glass fiber which are commonly available in the local market. Care has been taken to use less fabricated components, because, the lack of accuracy in fabricated components would lead to a reduced performance of the machine.The different functional components of AJM are the machining chamber, work holding device, abrasive drainage system, compressor, air filter and regulator, abrasive nozzle, and mixing chamber with cam motor arrangement. The different components are selected after appropriate design calculations.

Reuse of Hazardous Waste as Alternative Building Materials–A Review
Authors:- UG Student Harshith. M, Masters Student Aditi Parmar Chitharanjan

Abstract:- Waste materials are a major environmental problem, among them the most dangerous are hazardous wastes that are substantial or potential threats to public health or the environment. Waste can be used in the construction industry in two ways: by reusing and recycling. This article presents a review of the literature on changes in the composition of traditional building materials with the addition of certain wastes without compromising on its durability and efficiency. This article mainly concentrates on the use of Polystyrene (PS), and formaldehyde resin which are some wastes attained from construction industries and their by-products. Some physical and mechanical properties are studied when these mixtures are partially replaced in cement with sand in experimental ratios to receive efficient ratios and to study its properties. This article is a review of major work done in this field.

Design and Analysys of Twin Cell Box Culvert
Authors:- Ramyasri.V, Assistant Professor Mr.P. Satheesh Kumar

Abstract:-Box Culverts are required to be provided under earth embankment for crossing of water course like streams, Nallas across the embankment as road embankment cannot be allowed to obstruct the natural water way. The culverts are also required to balance the flood water on both sides of earth embankment to reduce flood level on one side of road thereby decreasing the water head consequently reducing the flood menace. Culverts can be of different shapes such as arch, slab and box. These can be constructed with different material such as masonry (brick, stone etc) or reinforced cement concrete. Since culvert pass through the earthen embankment, these are subjected to same traffic loads as the road carries and therefore, required to be designed for such loads. The size, invert level, layout etc. are decided by hydraulic considerations and site conditions. The cushion depends on road profile at the culvert location. The structural design involves consideration of load cases (box empty, full, surcharge loads etc.) and factors like live load, effective width, braking force, dispersal of load through fill, impact factor, co-efficient of earth pressure etc. Relevant IRC Codes are required to be referred in the analysis and design of box culverts. The aim of this project is to model and analyze the box culvert using STAAD PRO software. This software is an effective and user friendly tool for three dimensional model generation, analysis and multi material design. The results obtained from STAAD PRO are compared with the manual calculations obtained using Excel. The structural elements of box culvert are designed to withstand maximum bending moment and shear force. The results obtained from STAAD are almost similar to manual calculations.

Indian Sign Language Recognition
Authors:- Mohit Patil, Pranay Pathole, Hrishikesh Patil, Ashutosh Raut, Prof. S S Jadhav

Abstract:-This paper introduces a system that can recognize poses and hand gestures of Indian Sign Language in real time using grid-based features. This system tries to reduce the communication gap between listening and speaking disabled and the rest of society. Existing solutions either provide relatively low precision or do not work in real time. The system provides good results in both parameters. Sign Language is captured from a smartphone camera and its frames are sent to a remote server for further processing. Techniques such as Face detection, object stabilization and skin color are used. Segmentation is also used for hand detection and tracking. The image undergoes a gridbased function extraction technique representing the placement of the hand in the form of Function Vector, Hand postures are classified using the k-Nearest Neighbors algorithm. However, by gesture classification, movement and intermediate positions of the hand observation sequences are entered into the chains of the hidden Markov model corresponding to the pre-selected gestures defined in Indian Sign Language.

A Clustering Algorithm Based on Topology Adaptive Distributed: A Comparative Study
Authors:- Dr. Akhilendra Kumar Khare, Prof. Chandra Kumar Jha

Abstract:- This Paper measure the performance a TACA (Topology Adaptive Clustering) Algorithm that aim to choose least integer of group heads to play down the numerals of hubs within the essential back bone.To memorize its one-hop neighbors algorithm uses the Neighbor Detection Protocol (NDP) . The algorithm which is dispersed in environment that reviews only the confined topology to choose a group head. Specifically, hub having the maximum weight between its one-hop neighbor is chooses as the group head. Average mobility and its available battery power is assuming only by calculated node weight. This paper moreover bargains with the vitality utilization of the distinctive portable hubs in different working modes. The cluster support techniques to back the hub portability in addition to hold the cluster control structure are too incorporated in this paper.

Hydrochemical Assessment of Groundwater Resources from Hand – Dug Wells Around Baba – Ode Village and Its Environs, Kwara State
Authors:-Obaro R. I, Olatunji J. AOdediran, O.A And Agbalajobi, S. A,

Abstract:- Hydrochemical characterization of ground water from hand-dug wells within Baba – ode village and its environs was studied in order to ascertain its suitability for human consumption and domestic purposes. A total of ten (10) samples were taken from ten wells, stored in sterilized polythene bottles and covered to prevent contamination. Results from Ph. indicate that the waters are slightly alkaline with values ranging from 6.9 – 7.6; Total dissolve solids of 84.2 mg/L – 1655 mg/L with average of 484 mg/L which falls within the WHO recommended parameter; Turbidity shows that the well sampled ranged between 3 NTU – 25 NTU with average of 13.5 NTU which is above WHO recommended values while the electrical conductivity ranges between 169.1 µs/cm – 3310 µs/cm with average value of 972 µs/cm and the Total hardness of groundwater at Baba-ode area varies from 110 mg/l to 310 mg/l with average of 210 mg/l which falls within the stipulated WHO limits for drinking water and WHO recommended parameter. The cations and the anions range as follows: Ca2+ and Mg2+ ranges from 28 mg/l – 78 mg/l and 0.17 mg/l – 10.3 mg/l respectively while Na+ and K+ ranges from 0.3 mg/l – 10.6 mg/l and 2.7 mg/l – 27 mg/l respectively. Anions suggests that HCO3 ranges from 73 mg/l – 240 mg/l; Cl- ranges from 2 mg/l – 32 mg/l; S042- ranges from 3 – 32; C032- ranges from 40 mg/l – 101 mg/l; P042- ranges from 2.7 mg/l – 27 mg/l while N032- ranges from 0.5 mg/l – 42 mg/l. The cations and anions for the groundwater seemed ideal for human consumption. However, Fe was not detectable in some wells while some has a low concentration still conforming to WHO standard. Conversely all samples of groundwater examined contain bacteria especially, Escherichia coli and Coliforms which makes the water unsafe if consumed untreated. These organisms can be removed from the groundwater through boiling, chlorination and filtering before consumption.

Hydrochemical Assessment of Groundwater Resources from Hand – Dug Wells Around Baba – Ode Village and Its Environs, Kwara State
Authors:-Obaro R. I, Olatunji J. AOdediran, O.A And Agbalajobi, S. A,

Abstract:- Hydrochemical characterization of ground water from hand-dug wells within Baba – ode village and its environs was studied in order to ascertain its suitability for human consumption and domestic purposes. A total of ten (10) samples were taken from ten wells, stored in sterilized polythene bottles and covered to prevent contamination. Results from Ph. indicate that the waters are slightly alkaline with values ranging from 6.9 – 7.6; Total dissolve solids of 84.2 mg/L – 1655 mg/L with average of 484 mg/L which falls within the WHO recommended parameter; Turbidity shows that the well sampled ranged between 3 NTU – 25 NTU with average of 13.5 NTU which is above WHO recommended values while the electrical conductivity ranges between 169.1 µs/cm – 3310 µs/cm with average value of 972 µs/cm and the Total hardness of groundwater at Baba-ode area varies from 110 mg/l to 310 mg/l with average of 210 mg/l which falls within the stipulated WHO limits for drinking water and WHO recommended parameter. The cations and the anions range as follows: Ca2+ and Mg2+ ranges from 28 mg/l – 78 mg/l and 0.17 mg/l – 10.3 mg/l respectively while Na+ and K+ ranges from 0.3 mg/l – 10.6 mg/l and 2.7 mg/l – 27 mg/l respectively. Anions suggests that HCO3 ranges from 73 mg/l – 240 mg/l; Cl- ranges from 2 mg/l – 32 mg/l; S042- ranges from 3 – 32; C032- ranges from 40 mg/l – 101 mg/l; P042- ranges from 2.7 mg/l – 27 mg/l while N032- ranges from 0.5 mg/l – 42 mg/l. The cations and anions for the groundwater seemed ideal for human consumption. However, Fe was not detectable in some wells while some has a low concentration still conforming to WHO standard. Conversely all samples of groundwater examined contain bacteria especially, Escherichia coli and Coliforms which makes the water unsafe if consumed untreated. These organisms can be removed from the groundwater through boiling, chlorination and filtering before consumption.

Evaluation of Physical and Chemical Properties Concrete Incorporating Silica Fume and Nano-Sio2
Authors:- M.Tech. Scholar Vaibhav Saxena, Assistant Professor Anuj Verma

Abstract:- Silica fume concrete (SFC) is used for concrete mixtures, which possess workability, strength, high density, low permeability and resistance to chemical attack. The addition of Silica fume (SF) has proved to improve both the compressive strength and durability of concrete. From the earlier research, they found the optimum percentage of silica fumes to replace cement is 13% which used in this work. Silica fume is one of the by-products of silicon metal (or) it also knows as silicon alloy metal factories. The silica fume was considered as the waste industrial materials. Silica fume is also called as the condensed silica fume, micro silica and Volatilized silica. Due to its very active and high pozzolanic property it became the most valuable by-product among the pozzolanic materials. It is used in the concrete to improve its properties and it also increases the compressive strength. The color of silica fume is either premium white (or) premium grey. Silica fume (SF) is generated by the silicon metal or by ferrosilicon that which producing by industry. The compressive strength of each concrete decreases water– cement material ratio increases.

Autonomous Ocean Garbage Collector
Authors:- Sagar Gavade , Ghanashyam Phadke, Shrikant Somal, Praful Gaikwad, Mahesh Mane

Abstract:- This paper describes an automatic ocean garbage collector robot for collecting garbage floating in the ocean. Debris and plastic built-up everywhere on the water surface can be cleaned using this robot. The Automatic Ocean Garbage Collector is designed by implementing the concepts of various fields such as Embedded, Electric and Mechanical system as well as IOT cloud. Apart from cleaning it also alerts the system about the polluted water area depending on temperature, humidity and conductivity of water. The core idea behind the project is to build a reliable and cost-efficient robot.

An Investigation Report on Strength Charecteristics of Steel and Glass Fibers Insteed of Reinforcement In Concrete
Authors:- Post Graduate, D. Mounika, Assistant Professor G. Teja

Abstract:- – The Concrete preparation can do with Portland cement. This Ordinary Portland Cement having different types if characteristics: The concrete is strong in compression but is weak in tension. The concrete having the general structural weakness like cracks that are start to form as soon as concrete is placed and before it has properly hardened. These cracks are major cause of weakness in concrete particularly in large on-site applications leading to subsequent fracture and failure and general lack of durability. The weakness in tension can be overcome by the use of conventional rod reinforcement and to some extent by the inclusion of a sufficient volume of certain fibres.Fibre reinforced concrete (FRC) may be defined as a composite material made with Portland cement, aggregate, and incorporating discrete discontinuous fibres.Fibre- reinforced concrete (FRC) is concrete containing fibrous material which increases its structural integrity. It contains short discrete fibres that are uniformly distributed and randomly oriented – each of which lend varying properties to the concrete. In addition, the character of fibre-reinforced concrete changes with varying concretes, fibre materials, geometries, distribution, orientation, and densities. Steel Fibre reinforced concrete is a composite material consisting of cement paste, mortar or concrete with closely spaced and uniformly dispersed fibres It is also known as FRC. In this experimental investigation, an attempt has made to find out strength related tests like Compressive Strength, Split Tensile Strength, Flexural Strength using Pure concrete, steel fibres and Glass Fibres with to volume fraction of 0.0%,0.25%,0.5%, 0.75% and 1% and for aspect ratio and considered for M40 Grade of concrete. A total No. of 81 specimens were casted, cured and tested. The real contribution of the fibres is to increase the toughness of the concrete, under any type of loading and permit the fibre reinforced concrete to carry significant stress over a relatively large strain capacity in the post cracking stage. The results of the tests showed that the strength properties are enhanced due to addition of glass fibres.

The Characterization and Evaluation of Some Edible Oils for Their Frying Stability
Authors:- Abhilash Babu G

Abstract:- The oils and fats are used for frying foods which are a staple of the fast food industry in India.Such foods are very popular because of their desirable flavour,attractive colour and crispy texture.But eating too much of these foods can leads to serious health problems.The frying also cause substantial changes to physio-chemical-sensory-nutritional qualities of cooking oils.In this study,the most commonly and frequently used edible oils in India viz.,sunflower oil,palmolein oil and coconut oil, are analysed before and after frying to evaluate their quality during frying purposes.

Smart Agriculture Monitoring System Using Iot
Authors:- Assistant Professor D. Betteena Sheryl Fernando, UG Students M. Sabarishwaran,
R. Ramya Priya, S. Santhoshini

Abstract:- Climate changes and rainfall has been erratic over the past decade. Due to this in recent era, climate-smart methods called as smart agriculture is adopted by many Indian farmers. One of the important applications of IOT is Smart Agriculture. It reduces wastage of water, fertilizers and increases the crop yield. Smart agriculture is an automated and directed information technology implemented with the IOT (Internet of Things). IOT is developing rapidly and widely applied in all wireless environments. In this project, sensor technology and wireless networks integration of IOT technology has been studied and reviewed based on the actual situation of agricultural system. Temperature sensor, Moisture sensor and pH sensor which senses the temperature, moisture content and pH in the soil. A combined approach with internet and wireless communications, Remote Monitoring System (RMS) is proposed. Major objective is to collect real time data of agriculture production environment that provides easy access for cultivation and increases the crop yield. By monitoring the field using the IP address Nutrient deficiency in the soil are detected and rectified.

A Review on Three-Dimensional Performance Analysis of Circular Fin Tube Heat Exchanger
Authors:- M.Tech. Scholar Abhishek Mishra, Prof. D.K.Mudaiya, Prof. Nitin Tenguria

Abstract:- In recent years, thousands of numerical and experimental studies have been performed on heat exchangers with different configurations. Mainly heat transfer and frictional characteristics have been studied in detail with respect to different geometrical parameters in various ranges of Reynolds number. Further these studies have been cross verified with researches already performed in this field. With the advent of new tools like CFD for the study of thermo-hydraulic characteristics, it has becomes easier to understand flow phenomena around the tubes for different rows and also in rest of flow regions. These studies also bring about some correlations so as to easily find the values ofcolburn and friction factor for various different geometrical parameters so as to suit to the different industrial conditions and requirements. An overview of the work already done on plate fin heat exchangers is presented in this paper.

A Study on Partial Replacement of Course And Fine Aggregate by Coconut Shell and Quarry Dust Mix
Authors:- Post Graduate, G. Teja Sree, Assistant professor, Mr. G. Teja,

Abstract:- In developing countries where concrete is commonly used, increase in cost of concrete made construction extremely pricey. The production of concrete require a choice of materials like Cement, Fine aggregate and Coarse Aggregate. Due to wide usage of concrete cost of materials is being increased. So another material is used for partial replacement of Fine aggregate and coarse aggregate in concrete. Main aim of this project is to decrease the cost of concrete. Research work have been conducted with gathering of materials required, the data required for mix design are obtained by sieve analysis and specific gravity test. Sieve analysis is carried out from a variety of fine aggregates (FA) and coarse aggregates (CA) samples and the sample which suit the condition is selected. Specific gravity tests are carried out for fine and coarse aggregate. FA is replaced by Quarry dust of 30 % along with the partial replacement of CA with coconut shell. Coarse aggregate is replaced with 10 %, 20%, 30% and 40 % by coconut shell. Design Mix used is M20 grade (1:1.5:3) with W/C Ratio 0.5.The Conventional concrete and Coconut shell with quarry dust concrete specimens were casted and tested for compressive strength and split tensile strength for 7 and 28 days. The compressive strength of the CS10%+QD30% and CS20%+QD30% was 24.35N/mm2 and 24.98 N/mm2, Split tensile strength is 3.45N/mm2 and 3.500N/mm2 respectively at 28days.A Study On Partial Replacement Of Coarse And Fine Aggregate By Coconut Shell And Quarry Dust Mix.

Vertex Edge and Equitable Vertex Edge Domination of Topologically Indexable Graphs
Authors:- Assistant Professor (Sl. G) Dr. S. Chitra, Assistant Professor (O. G) Ms. N. Prabhavathi

Abstract:- Let G = (V, E) be a simple graph. Let τ be a topology on V(G).We define a topology on V(G) and given a topology on a non-empty finite set V, and graph G(T) with vertex set V is called topological graph. In this paper we have identified the Perfect domination number, Vertex – Edge domination number, Equitable vertex-edge domination number Maximal vertex-edge domination number of graph G(T), also an attempt is made to identify the topologically indexable total Hamiltonian line graph.

Optimisation of Process Parameters for MIG Welding byUsing Grey Relational Analysis
Authors:- M. Tech. Scholar Benazir Aftab, Prof. Yogesh Mishra

Abstract:- The welding of Aluminium is a big challenge by conventional arc welding process and repeatability of welding depends on its control on welding speed and other processing parameters. In this study, GMAW welding of 5 mm thick mild steel was done by changing the welding current, gas flow rate and nozzle to plate distance to get a high strength joint. To get better strength welding of the MS plate is done from both side. The main aim of the study was to analyse the Effect of welding current, gas flow rate and nozzle to plate distance on the tensile strength of weld joint, micro hardness of the weld pool and macrostructure of the joint. The mechanical properties under consideration for present work were the Tensile Strength and Hardness. Tensile Strength and Hardness were determined using UTE100, with capacity of 100kN and Rockwell hardness tester respectively. It was found that preheat temperature has the most significant effect on the tensile strength and hardness. The maximum tensile strength and hardness achieved was welding current 124 A, gas flow rate 15 l/min and preheat temperature 275°C.

Experimental Investigation on Strength and Flexural Strength of Concrete by Partially Replacement of Cement by Coconut Endocarp Ash
Authors:- PG Student Aravind G , Asst. Prof. C. Gurumoorthy

Abstract:- Conservation of natural resources and prevention of environment should be considered predominant along with any kind of continuous technological and industrial development by minimizing quantity of waste disposal. If some of the waste materials are found suitable in concrete making, the cost of construction can be cut down, but also safe disposal of waste materials can be achieved. So, an attempt has been made to access the suitability of different replacement materials in the concrete production. The project is implemented by using coconut endocarp ash as a partial replacement material for cement. The experimental investigation is done on M30 grade concrete and its engineering properties were analysed using OPC cement along with coconut endocarp ash following standard mix design procedure. The compressive strength and tensile strength at 7 days ,14 days and 28 days of conventional concrete and concrete prepared using cement replaced in ranges of 5% with coconut endocarp ash to be measured. Finally, the results and graphs to be plotted. The flexural strength on beams using conventional concrete and concrete with partial replacement has to be studied and results will be compared.

Content-Based Retrieval in Cloud Image Repositories
Authors:- M.Tech. Student Krishna S.S., Professor Asha A.S.

Abstract:-Multimedia visual data have been increasing to store the cloud computing in recent years, following the emergence of many high interactive multimedia services and applications for mobile devices in both personal and corporate scenarios.This has been a key driving factor for the adoption of cloud-based data outsourcing solutions. Framework may fully supported in multi media data ex(images,video,audio)the main activity on this framework it may chunk the large amount of the data and using the Encryption for each chunks. The security process may high at this frame work high interactive multimedia
services and applications for mobile devices in both personal and corporate scenarios. This has been a key driving factor for the adoption of cloud-based data out sourcing solutions.

A Report on Investigation on Strength Properties of Concrete with Adding Of Polypropylene Fiber
Authors:- Post Graduate, A Praveen Kumar, Assistant Professor, Mr. G. Teja

Abstract:-Our society is in front position in sustainability. Concrete, unfortunately it is our most commonly used non-renewable significant resource. According to many researchers recycled material is used in the production of concrete such as aggregate which is recycled. Evaluation of material, strength and durability of recycled aggregate concrete (RAC) most researchers has consisted, but to determine its potential use in the industry only some number of researchers have implemented full- scale testing of specimens constructed with RAC. To investigate the flexural performance of reinforced concrete (RC) beams constructed with RAC, a laboratory testing program was developed. On full-scale RC beams eight experimental program tests performed. The principal parameters investigated were: (1) concrete type (RAC or conventional concrete (CC)) and (2) amount of longitudinal (flexural) reinforcement. Existing design code is compared with cracking, yielding, and ultimate capacities of the beams. Furthermore, flexural test database of CC specimens is compared with the experimental flexural strengths of the beams.Results of this study shows that the RAC beams have comparable ultimate flexural strengths and approximately 13% higher deflections compared to CC.

Investigation The Impact of Inorganic Fillers on The Electrical and Physical Properties of Resin Epoxy
Authors:- Shaimaa Mohamed Sayed Khodary, Loai Nasrat, Ahmed Abdel-Aziz , Anke Klingner

Abstract:-Epoxy micro composites with high loading of micro (silicon dioxide, magnesium hydroxide and mica) were fabricated and their electrical and physical properties were characterized .The main aim of this research is to enhance the performance of resin epoxy as an insulation materials. The micro and nano silicon dioxide are used as inorganic fillers to support the resin epoxy. The flashover voltage test was carried out to investigate the difference between the two fillers. The contact angle measurement was carried out to investigate the hydrophobicity among three types of micro fillers (silicon dioxide, magnesium hydroxide and mica).

Predicting the Post Covid-19 Trend of Indian GDP and Its Main Contributors
Authors:- Namrata Weling, Manasi Desai

Abstract:-Forecasting is the process of estimating the future predictions based on the historical data. However, due to global pandemic it has become difficult to predict the GDP of India in the coming years based on the past data. This study has attempted to shed light on predicting the future GDP of India and has considered the factors that contribute to the Indian GDP like Unemployment Rate, Population and Labour Force Participation Rate. This paper also focuses on the individual sector contribution to the Indian GDP. These sectors include Agriculture, Industry and Service. Data on GDP has been collected from year 2008 to 2019 from various research websites such as statistics times and trading economics. Data on state-wise GDP of India has been collected from various publications of the Reserve Bank of India. The unemployment rate, Population and labour force participation rate data has been collected from the world bank. A multiple linear regression model has been fitted on data to determine the relationship between unemployment rate, population and labour force participation rate with Indian GDP. Results suggest that as the unemployment rate increases the Indian GDP decreases and as the population increases GDP also increases. Based on this model, further values of Indian GDP were forecasted for the coming years. A linear regression model was used to predict the contribution of three sectors i.e. agriculture, industry and service sector, and the state-wise GDP of top nine contributing states in India was predicted. We hope to assist the policy makers and businesses to formulate economic and business strategies in turn more precisely through the findings of our research. It will also help investors in decision making, as to whether or not to invest in a particular sector, and which sector needs investment to be stabilized or prevented from a drastic fall.

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