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IJSRET Volume 7 Issue 2, Mar-Apr-2021

Strength Analysis by Utilization of Plastic PET Bottles In Concrete Material
Authors:-Priyanka Yadav, Mr. Anuj Verma

Abstract:-Plastic waste disposal in the environment is a big problem since it is impossible to biodegrade and has a broad footprint. Plastic recycling was practiced on a wide scale in India. Recycling from various sources accounts for up to 60% of industrial and urban plastic waste. Recently, plastic waste has been studied as a possible replacement for a portion of the current concrete aggregates. In this study, trials and measurements were carried out in order to evaluate the effectiveness of waste plastic reuse in concrete building. Waste plastic was used to partially replace sand in 0 percent, 1 percent, 2 percent, 3 percent, 4 percent, and 5 percent of concrete blends. The concrete cubes were tested at room temperature. Slumping and compression are needed for these measurements. This study ensures that reusing plastic waste as a substitute for fine concrete aggregates will result in lower material costs while still addressing the waste disposal problem.

A Review of Mechanical Properties of Fly Ash Based Geo-Polymer Concrete Used As Paver Blocks
Authors:-Awdhesh Kumar, Anuj Verma

Abstract:-The world is facing the challenges of climate changes due to the increase in CO2 emissions. Cement production is one of the biggest contributors to CO2 emissions due to combustion processes that require high temperatures. The new development in building construction showed that fly ash based Geopolymer concrete can be as structure materials to reduce or even eliminate ordinary Portland cement concrete. This paper presented the research results of fly ash based geopolymer concrete mechanical properties, like the compressive strength, flexural strength, and Elastic Modulus.Paver block is often used in alternative functions, such as those in street as well as other areas of building. So far, roof tiles and paving bricks are the only products to have been manufactured at the lab-scale. Future studies could focus on the investigation of other mechanical and durability properties of the optimum formulations, in order to find applications in the manufacturing of a variety of building materials.

A Review of Bamboo/Jute/PLA Biodegradable Composite
Authors:Subhash Kumar, Dr. Anil Kumar, Mr Amit Sharma

Abstract:-Biodegradable polymers can potentially be combined with natural fibers to produce biodegradable compositematerials. In this work, PLA (Polylactide) was used in combination with Jute fabric to generate bio-composite by compression molding technique. Various mechanical characterizations like tensile, flexural and impact properties of bio-composite were determined. The result from mechanical testing showed that use of Jute fabric with PLA, increases the tensile strength and tensile modulus, why the flexural modulus is reduced. Scanning electron microscopy (SEM) investigation also showed good bonding between the Jute fabric and PLA as there were no air voids. Water absorption results reported increase in weight of the bio-composite for 24 hrs conditioned time. The findings of this work create the scope of use of the Jute fiber/ fabric for making fully biodegradable composites for potential application as architectural interiors in building construction sector. The developed composites were also used as the replacement for mica sheets for the table top, chairs, door panels and many more.

A Review of Solar Energy Based Heat and Power Generation Systems
Authors:M. Tech. Pooja Vaishya, Prof. Barkha Khambra

Abstract:-The microgrid has shown to be a promising solution for the integration and management of intermittent renewable energy generation. This paper looks at critical issues surrounding microgrid control and protection. It proposes an integrated control and protection system with a hierarchical coordination control strategy consisting of a stand-alone operation mode, a grid-connected operation mode, and transitions between these two modes for a microgrid. To enhance the fault ride-through capability of the system, a comprehensive three-layer hierarchical protection system is also proposed, which fully adopts different protection schemes, such as relay protection, a hybrid energy storage system (HESS) regulation, and an emergency control. The effectiveness, feasibility, and practicality of the proposed systems are validated on a practical photovoltaic (PV) microgrid. This study is expected to provide some theoretical guidance and engineering construction experience for microgrids in general. The utilization of solar energy based technologies has attracted increased interest in recent times in order to satisfy the various energy demands of our society. This paper presents a thorough review of the open literature on solar energy based heat and power plants. In order to limit the scope of the review, only fully renewable plants with at least the production of electricity and heat/hot water for end use are considered. These include solar photovoltaic and solar thermal based plants with both concentrating and non-concentrating collectors in both solar-only and solar-hybrid configurations.

Disease Prediction System in New Normal
Authors:Sonal Shilimkar, Pratiksha Thosar, Prajakta Dharade, Ayushi Patel4, Asst. Prof. Varsha Pimprale

Abstract:-In this disease prediction system follows normal rules. The system is designed such that to provide a facility predicting disease from given reports. Report can be in the form of image (MRI, x-Ray, mammography, etc). Or in the form of input parameters like numerical value came with the result of reports. The system will take input from the user for a specific disease the system will follow image processing techniques to process and extract results from images. The result will be provided to a user. The system will also suggest nearby specialists for the detected disease.

Study on Concrete Properties under Acid Attacks
Authors:- Racharla Nageswara Rao, Asst. Prof. DMS Nageswara Rao

Abstract:-Acidic attack on concrete imparts unique set of injury mechanisms and manifestations compared to other durability problems with concrete. vitriol attack limits the service lifetime of concrete elements and, thus, leads to increased expenditures for the repair or in some cases replacement of the entire structure. To date, there’s lack of standardized tests for specifically evaluating the resistance of concrete to vitriol attack, which has caused great variability, for instance in terms of solution concentration, pH level/control, etc., among previous studies during this area. Accordingly, there are conflicting data about the role of key constituents of concrete (e.g. supplementary cementitious materials [SCMs]), and uncertainty about building codes’ stipulations for concrete exposed to vitriol. Hence, the primary objective of this thesis was to assess the behaviour of an equivalent concretes, prepared with single and blended binders, to incremental levels (mild, severe and really severe) of vitriol solutions over 36 weeks. The test variables included the sort of cement (general use [GU] or Portland limestone cement [PLC]) and SCMs (fly ash, silica fume and nano-silica). The severe (1%, pH of 1) and really severe aggression (2.5%, pH of 0.5) phases caused mass loss of all specimens, with the latter phase providing clear distinction among the performance of concrete mixtures. The results showed that the penetrability of concrete wasn’t a controlling factor, under severe and really severe damage by vitriol attack, whereas the chemical vulnerability of the binder was the dominant factor. Mixtures prepared from PLC performed better than that of counterparts made up of GU. While the quaternary mixtures comprising GU or PLC, fly ash, silica fume and nanosilica showed the very best mass losses after 36 weeks,binarymixturesincorporatingGUorPLCwith ash had rockbottom masslosses. Several studies reported that the improved chemical resistance of alkali-activated materials (AAMs) over concrete supported Portland cements. However, AAMs have technical limitations, which could deter its widespread use in cast-in place applications. These limitations include need for warmth curing, slow setting, and slow strength development, which could be mitigated by further improving the reactivity of AAMs during early-age with nanoparticles; however, this area remains largely unexplored. Hence, the second objective of this thesis was to develop innovative sorts of AAMs-based concrete [alkali activated ash (AAFA), alkali activated slag (AAS) and their blends incorporating nanosilica] and evaluate their resistance to 2 different vitriol exposures over 18 weeks for potential use in repair of concrete elements susceptible to acidic attack. While AAFA specimens, produced without heat curing, experienced rapid ingress of the acidic solution and a big reduction within the bond strength with substrate concrete, ash based AAMs comprising slag and or nanosilica (AAFA-S and AAFA-S-NS) had improved performance thanks to discounting the ingress of acidic solution and continued geopolymerization reactivity. Comparatively, specimens from the slag group exhibited high levels of swelling, internal cracking and mass loss thanks to chemical deterioration. The general results suggest that AAFA-S and AAFA-S-NS mixture, without heat curing, could also be a viable option for repair applications of concrete elements in acidic entrainments, but field trials are still needed to further verify their performance.

Experimental Study on Presence of Calcium Exchange Capacity on the Properties of Expansive Soils
Authors:- Sunkara Suresh, Asst. Prof. A. Sarath Babu

Abstract:- This research work presents the efficacy of salt and ash as an additive in improving the engineering properties of Black cotton soil which is expansive soil. Salt of 1%, 2% and three were mixed with black cotton soil utilized in the laboratory experiments. The ash percentages of 20% and 30% were used for compare the results obtained with salt percentages. The effectiveness of the salt and ash tested by conducting unconfined compressive strength and swelling pressure test. The unconfined compressive test has finished curing period of seven, 14, and 28 days to match the results with 0 days unconfined compressive strength. The soil samples were subjected to wet and dry cycles and observed that increase of unconfined compressive strength and reduction of swelling pressure. The results were obtained from salt mixes soil sample after wet and dry cycles has better strength, less swelling pressure and fewer swelling index.

Strength and Behavior of Concrete by Partial Replacement of Fine Aggregate with Recycled Plastic
Authors:- Nithisha Nalluri, Asst. Prof. A. Sarath Babu

Abstract:- Considering quick improvement of individuals in nations like India the discarding Solid waste is an immense issue in our bit by bit life. Distinctive waste materials are made from social event measures, association associations and normal strong squanders. The developing consideration about nature has enormously added to the worries related with ejection of the made squanders. Strong waste association is one of the critical typical worries on the planet. With the insufficiency of room for land filling and because of its always expanding cost, squander use has gotten an engaging decision instead of ejection. Among the waste material, plastic is the material that is the significant worry to by a wide margin the majority of the ordinary impacts. Examination is being done on the usage of waste plastic things in cement. The utilization of waste things in strong makes it prudent, yet besides helps in reducing removal issues. The movement of new improvement materials utilizing reused plastics is essential to both the unforeseen development and the plastic reusing adventures. Reuse of waste and reused plastic materials in solid blend as a characteristic neighborly improvement material has pulled considering specialists advancing occasions, and unlimited appraisals revealing the direct of cement containing waste and reused plastic materials have been scattered. This paper sums up an extensive survey on the evaluation articles on the utilization of reused plastics in strong dependent on whether they administered concrete containing plastic totals or plastic filaments. Moreover, the morphology of cement containing plastic materials is to clarify the impact of plastic totals and plastic filaments on the properties of cement. The properties of cements containing virgin plastic materials were additionally examined to build up their similitudes and contrasts with concrete containing reused plastics. Solid shape, chamber and segment were casted taking 0% to 40% of plastic as halfway substitution of fine total and pursued for 28days of compressive quality, flexural quality and split adaptability of cement.

Response of Shear Wall in Open Storey Building under Seismic Excitation
Authors:- Shaik Mohammed Imran, Asst. Prof. D.C. Anajaya Reddy

Abstract:- The Open Ground Storey buildings are very commonly found in India due to provision3 for considerably needed parking lot in urban areas. However, seismic performance of this sort of buildings is found to be consistently poor as demonstrated by the past earthquakes. A number of the literatures indicate that use of shear walls may enhance the performance of this type of buildings without obstructing the free movement of vehicles within the parking zone . This study is an effort during this direction to review the performance of Open Ground Storey buildings strengthened with shear walls during a bay or two. additionally thereto , the study considers a special scenarios of Open Ground storey buildings strengthened by applying various schemes of multiplication factors in line with the approach proposed by IS 1893 (2002) for the comparison purpose. Study shows that the shear walls significantly increases the bottom shear capacity of OGS buildings however the comparative cost is slightly on the upper side.

Analysis of Credit Card Fraud Detection in Data Mining using Various Classifier Techniques
Authors:- Research Scholar Sachin Jain, Professor Dr. Rohit Kumar Singhal

Abstract:-The data mining is the technique which can mine useful information from the rough data. The prediction analysis is the technique of data mining which can predict new things from the current data. The classifications techniques are generally applied for the prediction analysis. This research work is based on the prediction of the credit card fraud detection. The various techniques are proposed by the authors for the credit card fraud detection. The technique which is proposed the study in the different paper is based on the conventional neural networks in which system learns from the previous experiences and drive new values.

Analysis of Software Project Cost Estimation using Functional Point
Authors:-Research Scholar Sunil Kumar, Professor Dr. Rohit Kumar Singhal

Abstract:-Effort estimation has been used for planning and monitoring project resources. As software grew in size and complexity, it is very difficult to predict the development cost. There is no single technique, which is best for all situations. A careful comparison of the results of several approaches is necessary to produce realistic estimates. The use of workforce is measured as effort and defined as total time taken by development team members to perform a given task. It is usually expressed in units such as man-day, man -month, and man-year, which is a basis for estimating other values relevant for software projects, like cost or total time required to produce a software product.

Study and Analysis in HEART DISEASE ANALYSIS USING K-Nearest Neighbor Classifier
Authors:- Research Scholar Wasim Akaram, Professor Dr. Rohit Kumar Singhal

Abstract:- Data mining refers to analysis of complex data. The prediction is the process of determining what will happen next. Recently, various techniques have been applied for the prediction analysis. A SVM technique is applied to the prediction analysis. The technique divides data into training and testing stages. The first class of test data is for the most part related to the individuals who have little to no risk of having a heart disease . The second class of test data all have risk-of-heart-disease levels above 50%. This research work proposes to improve this existing method using decision tree classifier. The proposal would improve accuracy and reduce the execution time.

A Review on Design Considerations for a Bidirectional Dc/Dc Converter
Authors:- M.Tech. Scholar Alka Tanwar, Asst. Prof. Mithilesh Gautam

Abstract:- Recently the use of renewable energy resources has been increased to save the environment and remaining fossil fuel and the requirement of storing the energy is also increased. In many applications like electric vehicles the need of interfacing of energy storage with load and source is increased for a reliable and efficient system. Bidirectional dc to dc converter is the main device used to interface the Battery and super capacitor as a storage device to increase the system reliability A conventional buck-boost converter can management the power flow in one direction only but power can flow in both the direction in bidirectional converter. Bidirectional dc-dc converters are the device for the purpose of step-up or step-down the voltage level with the capability of flow power in either forward directions or in backward direction. Bidirectional dc-dc converters work as regulator of power flow of the DC bus voltage in both the direction. In the power generation by wind mills and solar power systems, output fluctuates because of the changing environment condition. the basic knowledge and classification of bidirectional dc to dc converters on the basis of galvanic isolation, the comparison between their voltage conversion ratio and output current ripple along with various topologies researched in recent years are presented in this paper. Finally, zero current and zero voltage soft switching schemes and phase shifted controlling techniques are also highlighted.

Classification of Brain tumour in MRI images using BWT and SVM classifier
Authors:- M.Tech. Scholar Nisha Tomar, Asst.Prof. Ashish Tiwari

Abstract:- The improvement in medical image dispensation is increasing in an incredible manner. The speed of increasing ailment by method of reverence to various types of cancer and other related human exertion pave the way for the increase in biomedical research. as a result giving elsewhere and analyzing these medical descriptions is of high significance for scientific diagnosis. This work focus on the stage effectual categorization of brain tumour descriptions and segmentation of exist illness images employing the planned mixture bright techniques. The challenge as well as objectives lying on design of mark extraction, characteristic collection in addition to image classification and segmentation for medical images are discuss The tentative results of intended method contain been appraise and validate for arrangement in addition to superiority examination on magnetic clatter brain images, based on accuracy, sensitivity, specificity, and dice comparison directory coefficient. The experimental marks achieved 91.73% accuracy, 91.76% specificity, and 98.452% sensitivity, demonstrating the efficiency of the proposed method for identify normal and nonstandard tissues from intelligence MR images.

Dynamic Brain Tumor Image Detection Using Median Filter and Genetic Algorithm
Authors:- M.Tech. Scholar Shivi Joshi, Prof. Shalini Sahay

Abstract:- Processing of MRI image for detection of disease in human body was done manually by heath specialist. But most of machine develops automation for the same, so researchers are working in this field to improve the accuracy of detection. This paper has proposed the brain tumor detection algorithm in MRI images. Due to the dynamic nature of tumor in any part of brain sculpture genetic algorithm was used for tumor detection. Proposed tumor detection model use Teacher Learning Based Optimization genetic algorithm which classify image pixel into two regions first was tumor and other was non tumor portion of brain. So no need of training for the detection of tumor from image is required. Use of median filter increase detection accuracy with gray scal image input in fitness function. Real image brain tumor dataset was taken for testing of algorithm. Result shows that proposed model has improve the precision, recall, f-measure evaluation parameters as compare to previous approaches.

Gesture Recognition for User Interaction
Authors:- Anshul Joshi, Harsh Gupta, Srija Nagabhyru

Abstract:- With the massive influx and advancement of technologies there is a scope for us to interact with our systems in the best possible way. One such technology would be Gesture based Human Computer Interaction. So our system makes use of HCI which would help us interact without touching the screen. It is a well known fact that two dimensional user interfaces are everywhere, but with the increasing popularity of Extended Reality (XR) we require a better, more sophisticated three dimensional user interface.

Prediction of Earthquake Magnitude Based on the Clusters in Sulawesi Island, Indonesia
Authors:-Fachrizal Fajrin Aksana*, Andi Azizaha, Enggar Dwi Prihastomob

Abstract:- In this paper, we present an earthquake magnitude prediction model based on similar earthquake locations. To classify the earthquakes that occurred in Sulawesi Island, we use the K-Means clustering method to group the earthquakes based on the longitude and latitude of the earthquake. Support Vector Regression and Random Forest Regressor are proposed model to predict the magnitude in each cluster based on the longitude, latitude, and depth of the earthquakes. The data of past earthquakes are obtained from the USA Geological Survey and Meteorology, Climatology and Geophysical Agency of the Republic of Indonesia (BMKG). The optimal number of clusters is determined by the elbow method is 3. The prediction results show that the most accurate prediction model is Random Forest Regressor when the clustering approach is used.

Emotion Recognition Using Face Detection
Authors:- Amit Badave, Shivani Oswal, Siddharth Atre, Prof. Shilpa Khedkar, Vivek Alhat, Prof. Bhagyashri More

Abstract:- Human-machine interaction is one of the most important aspects of computing. Automatic emotion recognition has been an active topic for research since the last decade. Analyzing unique patterns of human emotions will help machines to understand humans better. Face detection and emotion recognition can be used in several application areas. It can be used in real-time monitoring, security and in gaming applications. In recent years, deep learning has provided a whole fresh approach to understanding and process real-time data. It provides effective methods and algorithms to process images, audio, video, and metadata. In this paper, we propose a system that aims to classify human emotions in different categories such as happy, sad, neutral, disgust, ange and fear. It bases our paper upon the idea of using different techniques of machine learning such as neural networks, haar cascade, principal component analysis (PCA), and facial features extraction to classify human emotions.

Survey on Secure Transactions Using Facial Identification
Authors:- Assistant Professor A.Porselvi, M.E, Anusha S, Meena P, Nishitha K

Abstract:- The rise of technology brings into force many varieties of tools that draw a bead on a lot of client pleasure. There’s associate degree pressing would like for up security in banking region. During this survey, we tend to discuss banking transactions exploitation facial identification. This subject has relevance to facial idea exploitation bank dealing. The processed info passes through the information of banks and payment systems. If facial identity is matched then dealing can be finished. The event of such a system would serve to safeguard customers and money establishments alike from intruders and identity thieves. The combined biometric options approach is to serve the aim each the identification and authentication.

Use Cases of Blockchain with Big Data
Authors:- Ms. Pratima Keni

Abstract:- Big data means data which is stored in massive amount of storage. Big data is high- volume, high-velocity and high-variety of data which is cost effective and help us to take any decision. Block chain is nothing but data which is stored in block and connect that data with each other through the block. Most recent transaction data which is added to block. This is also known as peer in chain. Blockchain which is the trending technology in today’s world. In this research paper we are dealing with what are the advantages when big data and blockchain are two big technologies are come into the picture. Basic Introduction of this paper which is explains in Section I. Section II talks about what is big data. Section III tells about What are the issues of Big data analytics. Block chain basic information which is explain in Section IV. Use Cases of Big data with Blockchain which is explain in section V.

Haar Cascades On Face Mask Detection
Authors:- Chinmay Patil

Abstract:-Coronavirus disease 2019 has affected the world seriously. One major protection method for people is to wear masks in public areas. Furthermore, many public service providers require customers to use the service only if they wear masks correctly. However, there are only a few research studies about face mask detection based on image analysis. Object detection is an important feature of computer science. The benefits of object detection are however not limited to someone with a Doctor of Informatics. Instead, object detection is growing deeper and deeper into the common parts of the information society, lending a helping hand wherever needed. This paper will address one such possibility , namely the help of a Haar-cascade classifier.

Analysis of Major Cenrifugal Pumps Failures (With Application to Irrigation Pumps in Sudan)
Authors:- Mohamed Yagoub Adam, Hassan Khalifa Osman, M. I. Shukri

Abstract:-Centrifugal pumps are one of the most widely used pumps in the world, with a wide range of applications, from the petroleum industry to the transportation of irrigation water. Despite the extensive use of pumps, few component failures cause severe degradation of pump performance and increase downtime, which adversely affect production. Therefore, in order to minimize downtime and improve pump reliability and availability, these pumps must be carefully controlled, diagnosed, maintained or replaced before a catastrophic pump failure occurs. This study investigated the major faults found in centrifugal pumps, especially in Sudan’s irrigation pumps. In this study, we analyzed the problems faced by pump failures causing yield loss at the level of all privatization and parastatal pump schemes operating under government license, government pump stations in the four national government owner agricultural schemes (New Halfa, Rahad, Suki and Gezira & Managil), by using statistical methods. Results show that, at the technical level of the system, a probabilistic method based on the evolution of the pump state enables us to carry out preventive interventions; when the component reaches the degradation zone, it leads to an increase in periodic system intervention. For equipment, whose system schedule set in advance by the manufacturer cannot effectively meet the maintenance requirements; the mathematical model based on failure linearization can correct or even optimize the maintenance plan. Through our own investigation, we have concluded that it is necessary to change the structure of the maintenance cycle of the irrigation pumps under consideration. In this study, the feasibility of preventive maintenance based on reliability and conditional maintenance was verified. The results obtained are contributions to meet the reliability goals pursued by irrigation pumps.

Study of On-Line Monitoring Technology on the Transmission Line
Authors:- M.Tech.Scholar Manmay Banerjee, Asst. Prof.Sachin Kumar

Abstract:- This paper presents a ground-breaking thought of overhead T/L web based checking. Mainly premise of this paper is to secure the tons of exploration con-ducted by generation and distribution engineers & another serious T/L secure activity observing framework is working with effectively. Moreover, we are trying to utilize fake impartial organization for analysis models, to demonstrate the plausibility and adequacy for the serious T/L secure activity framework.

Blind – Sight: Object Detection with Voice Feedback
Authors:- A. Annapoorani, Nerosha Senthil Kumar, Dr. V. Vidhya

Abstract:- Computer vision deals with how computers can be made to gain high-level understanding from digital images or videos. It seeks to automate tasks that the human visual system can do. Humans glance at an image and instantly know what objects are in the image, where they are, and how they interact. An estimate of 285 million people is visually impaired worldwide, stated by WHO. The proposed Blind Sight-Object Detection with Voice Feedback is a computer vision-based application that leverages state of the art object detection techniques. These are employed to detect objects in the vicinity. You Only Look Once (YOLO): Unified, Real-Time Object Detection a new approach to object detection is deployed in this proposed work. YOLO has 75 Convolutional Neural Network (CNN). Image classification techniques are used to identify the features of the image and categorize them into their appropriate class. The COCO dataset used in this project consists of around 123,287 hand labelled images classified into 80 categories. This wide set of data is used to describe spatial relationships between objects and their location in the environment. In addition, an Indian currency recognition module is developed to identify the denominations. The text description of the recognised object will be sent to the Google Text-to-Speech API using the gTTS package. Voice feedback on the 1st frame of each second will be scheduled as an output to help the visually impaired hear what they cannot see.

Convolutional Neural Network Based Facial Expression Recognition
Authors:- M.Tech. Scholar Ramchandra Solanki, Asst. Prof. Vijay Yadav

Abstract:- We see the importance of facial expression recognition in different applications. To do such task the traditional feature extraction is used which involves in complex processing. Previously various deep neural networks have been used for this task; as well it can be replaced by some improved methods. So, in this paper we have proposed a system for face recognition which uses the convolutional neural network (CNN) along with the detection of the edges of image. The proposed workflows in two steps in the first the normalization of the facial expression in the image is done, secondly the convolution is done for the extraction of the edges in images. After this the maximum pooling method is used for the dimensionality reduction. At the end the classification of the facial expression is done and the Softmax classifier is used for this classification and the face expression is recognized. The facial expression recognition experiment is done on the Fer-2013 dataset. The results obtained from the proposed approach gets a face recognition rate up to 92.45% for the used dataset. The given method works with lesser number of iterations for the recognition and the system provides approx 1.5 times fast execution as compared to the SDSRN algorithm..

A Review: Improvement of Link Permanency
Authors:- M. Tech. Scholar Bharti Chouhan, HOD Avinash Pal

Abstract:- Vehicular Ad hoc Networks (VANET) are highly mobile wireless ad hoc networks that provides communication between vehicles. As a promising technology it plays an important role in public safety communications and commercial applications. Due to the rapidly changing of topology and high-speed mobility of vehicle, routing of data in vanet becomes a challenging task. One of the critical issues of VANETs are frequent path disruptions caused by high-speed mobility of vehicle that leads to broken links which results in low throughput and high overhead. This paper argues with how to maintain the reliable link stability between the vehicles without any packet loss using two separate algorithms besides position, direction, velocity and digital mapping of roads. In this paper we propose a reliable position-based routing approach called Reliable Directional Greedy routing (RDGR) which is used to obtain the position, speed and direction of its neighboring nodes through GPS and as well as the well-known Ad-Hoc On-Demand Distance Vector (AODV) which includes vehicles position, direction, velocity with link stability. This approach incorporates potential score-based strategy, which calculates link stability between neighbor nodes for reliable data transfer in this paper we use both RDGR and AODV approach in order to provide reliable link stability and efficient packet delivery ratio even in high-speed mobility and changing of topology.

News Classification System Based on Area
Authors:- Prof. Krishnanjali Shinde, Prachi Prajapati, Sakshi Tagalpallewar, Ruchita Bacchuwar

Abstract:- – In 21st century the internet is filled with loads of news articles, there is a pressing need to classify news according to the requirements of an individual. People are generally more interested what is going on, in their immediate surroundings. News has a vital role in the society. Most people read news every day to keep up with the latest information and trends. The information could be anything, from technology, disaster, politics, even the affair of the celebrities. After they absorb the information and understand it, it will be used by the people as a reference to their ideology and decision making. With the help of technology advancements, news disseminates relatively quick across the globe. Using the internet, people can send information from another side of the world in under a second. Because of this, almost any kind of information such as knowledge, idea, entertainment, and news from the people can easily spread to the community. With the development of the web, and ton of internet sites that provide similar information and data. So, users often discover it hard todecide that of those websites will offer thespecified information inside the foremost valuable and effective way.

Behaviour of Combined Piled Raft Foundation in Clayey Soil
Authors:- S. Lakshmi Prabha

Abstract:- In situations where a raft foundation alone does not satisfy the design requirements, it may be possible to enhance the performance of the raft by addition of piles, the use of a limited number of piles, strategically located, may improve both the ultimate load capacity and the settlement and the differential settlement performance of raft. This paper discusses the philosophy of using piles as settlement reducers and considering interaction effects. In this method the raft is considered as a plate supported by a group of piles. To verify the reliability of the proposed method, a 5 storied RCC structure is analysed in SAP 2000, considering the guidelines given in chapter 56 of ICE manual of geotechnical engineering (volumeII) and Theoretical manual for pile foundation by US Army corps of Engineers (ERDC/ITL TR-00-5).

Optimize Piston Durability by Coating Layer of Tungsten Carbide
Authors:- Student of M.Tech. Nitesh Kumar, Gouraw Beohar(HOD), Assistant Professor Anshul Jain

Abstract:- This coating enhance piston durability on layer of 0.20 to 0.25µm which explore that after all testing on Coated piston minimum coating thickness which has been coated will be 0.20 µm whereas maximum thickness of coating which has been coated on piston will be 0.25 µm . There are various result which shows that these layer are efficient during long run .These layer also having less absorption capacity of heat results in maximum heat energy transform into work due to this exhaust will be less. The most expensive way to reduce fuel consumption is to develop more efficient fire engines. Today, about 40-45% of gasoline is converted into useful energy, while the remaining thermal energy is converted into heat. One of the possible solutions of decreasing heat losses from the engine is by insulation of piston coated with Tungsten carbide; all possible measures of improvements are in the scope of interest. Therefore this master thesis was carried out. The theoretical study was focused on about appropriate materials, industrial applications and the state of the art research in the area of coating. Sample prototypes and material samples were coated using a thickness of 0.5 µm to 0.25 µm and coated with Tungsten Carbide powder coating. Heat flux, Shear stress, Elastic strain, and total deformation are measured for each coating. The integrated pistons have been tested in a single cylinder engine, to ensure the strength of the thermal barrier. Due to the negative impact on piston the combustion process and the overall efficiency of piston, were obtain .A trend showing a decrease in heat loss with an increase in the coating of the layer was observed. During both load and thermal cycling tests of different thickness of Tungsten Carbide powder coating such as 0.05 µm, 0.1 µm, 0.15 µm, 0.20 µm, 0.25 µm, and 0.3µm. The temperature and stress field of piston are resolved using ANSYS (Version 18) software. The optimum result obtained to acquire minimum heat loss during combustion and obtained no deformation during high heat in general 150 cc Aluminum alloy piston, the best result obtained on coating piston with 0.25 µm with Tungsten Carbide powder coating.

Acoustic Steam Leak Detection System
Authors:- R. Saravanan M.E.,Ap/Eee, R. Balambika , R.Chelvadharani , A. Divyadharshin

Abstract:- The boiler tube failure is occurring frequently in thermal power plants. Boiler tube leakage is the significant reason for blackout of units and age misfortune in warm influence plants. Location of boiler tube leakage is a significant factor for power plant working as roughly 60% of boiler outages are because of tube leaks. Power plant engineers must cautious about boiler tube puncher so that further damages to pressure parts such as water wall tubes and headers, super heater tubes, re-heater tubes, and furnace refractory may be avoided. Boiler tube leaks have even been known to prompt to bending damage and deformation of the entire boiler. The costs of repair, substitution, and maintenance due to secondary damage can be maximum. There are several solutions are available to identify the boiler tube leakages such that analyzing the make-up water, survey of tube thickness and fitting sensors inside the boiler. The compact solution is fitting sensors inside the boiler. Here, we are using piezoelectric sensor to detect the tube leakages. There are two types of sensors available which are airborne sensor and structure borne sensor. Airborne contains a genuine microphone, which is totally insensitive to vibration. Structure borne is Piezo- electric based sensors can measure sound generated by a leak in the boiler structure by either acoustic frequencies or ultrasonic frequencies. The airborne sensor is used in acoustic steam leak detection system. The Acoustic Steam Leak Detection (ASLD) system works on the principle of detecting the sound waves emanating from the steam leak, processing the same and then indicating the quantum of steam leak and the location. When a leak is detected by a change in the sound patterns, alarms are activated and the fault is localized. By using these methods the leak is detected and the many secondary damages were avoided.

Design and Deflection Analysis of Deck Slab
Authors:- Kapil Mohaliya, Sourabh Dashore (HOD)

Abstract:- Steel-Free Deck Composite Bridges system has been investigated during the past two decades. The concept is totally new and innovative. The new structural system enables the construction of a concrete deck that is totally devoid of all internal steel reinforcement. Traditionally, reinforced concrete bridge decks are designed to sustain loads in flexure. The new innovative bridges with steel-free decks develop internal compressive forces “internal arching” which leads to failure by punching shear at substantially higher loads than the flexural design load. Five composite bridges have been recently constructed in Canada adopting this new concept.

CFD Analysis of Tubular Heat Exchanger with Ribbed Twisted Tapes for Heat Exchanger Enhancement
Authors:- M.Tech. Scholar Vinita Kapse, Prof. Sharvan Vishwakarma

Abstract:- A heat exchanger is really a system that transfers heat between two or more fluids. The fluids can also be single-phase or two-phase, so they can be isolated or in close contact, depending on the form of exchanger. In this study, two twisted ribbons are inserted into another heat exchanger tube and heat transfer is studied. The aim of both the ongoing project is to figure out how fast heat transfers in a circular tube with entangled ribbons. The Reynolds (Re) number as well as the geometry of tube is the parameters of concern. For the first case, diameter of tube is taken 50.8 mm and length 1000 mm. For the second case the diameter is increased and length is kept constant, diameter is constant and length is increased for third case, and for fourth cases both length and diameter is increased. It is found that with the increase in both length and diameter of tubes, the heat transfer is increasing, pressure drop is decreasing by 56%, Nusselt number (Nu) is decreasing by 72% and the thermal enhancement factor is increasing by 12%. It can be concluded that the increase in diameter results in decrease in heat transfer while increase in length is preferable for increase in heat transfer rate. Hence, among the selected four designs, the fourth case with diameter=80mm, and length=3000 mm is the most preferable one.

An Iot Based Modern Street Light System for Energy Efficient and Energy Auditing with Fault Identification System
Authors:- Asst. Prof. R. Rubanraja, M. Kanimozhi, M. Mahalakshmi, K. Mounika, V. Suruthipriya

Abstract:- Today’s modern world people preferred to live the sophisticated life with all facilities. The science and technological developments are growing rapidly to meet the above requirements. With advanced innovations, Internet of Things (IoT) plays a major role to automate different areas like health monitoring, traffic management, agricultural irrigation, street lights, class rooms, etc., Currently we use manual system to operate the street lights, this leads to the enormous energy waste in all over the world and it should be changed. In this survey we studied about, how IoT is used to develop the street lights in the smart way for our modern era. It is an important fact to solvethe energy crises and also to develop the street lights to the entire world. In addition, with the study on Smart Street lighting systems we analysed and described different sensors and components which are used in Iot environment. All the components of this survey are frequently used and very modest but effective to make the unswerving intelligence systems.

A Model for Sentimental Analysis of Twitter Data in Hindi Polarity: A Study
Authors:- Suraj Prasad Keshri1, Neelam Sahu2

Abstract:- This research explores real-time feelings of analysis. Twitter / WhatsApp posts are based in Hindi, with a sense of classification on a three-way scale, negative, positive and natural. The efficiency of various methods such as speech (POS) tagging and part of the stop word extract are compared and WordNet is proposed to improve the Hindi Sentimental Word. The current work of analysis on sentiment has been done in mining. There are resource-rich languages such as English; while data in Indian languages is still relatively low web content in languages like Hindi has grown rapidly over the past few years. In addition, as the length of social media increases, WhatsApp has become a hotbed of user content on platforms such as Twitter and Facebook SA of tweets made in English. There is not an analysis of similar data in Hindi. In this paper, we perform real-time SA on a live stream of Hindi tweets. Twitter social media application is a popular site Forum to share opinions of millions of people there are users on a variety of topics. The Analysis and opinion mining websites are rich sources of data for sentiment. A Twitter user can often use hash tags, then the same tag is used to group similar posts. A group of people can become a hash tag trend Attract a special discussion to as many people as possible to participate in it.

Privacy-Preserving Zero Knowledge Scheme for Attribute-based Matchmaking
Authors:- Solomon Sarpong

Abstract:- Making friends with common attributes is a characteristic of some persons. This characteristic is also extended to matchmaking on social networks. In some of the existing matchmaking protocols, the users are match-paired without considering the number of attributes they have in common. Furthermore, the bane of the existing proposed matchmaking protocols has been how to preserve the users’ privacy and this has been considered as the key security issue for such applications. In order to prevent malicious users from gaining extra information, the attributes in this protocol will be certified. Hence, certification authority ensures that, a user actually possesses the input attributes and binds them to him/her. With the use of certified sets and zero knowledge proofs, users can adequately find a matching-pair whilst keeping his/her input set private. Furthermore, in this proposed protocol, a person can find a best match among potential candidates by finding the one who has the maximum number of common attributes. At the end of the protocol, the match-pair can exchange their attributes without any other person knowing the number or the type of attributes they have in common.

Structural Investigation of Agricultural UAV
Authors:- E.Akshaya Chandar, Adesh Phalphale, Sourav Ghosh, Sanket Desai

Abstract:- UAV Technology has improved exponentially in the last few cycles, and we can discuss its importance as new resolutions to all challenging queries that include managed services on a unique land that a computer can make floating above it. It covers UAV that produces agricultural projects like spraying, an examination of products for vast hectare fields. Structural analysis is the purpose of the consequences of pressures on concrete buildings and their elements. The structural analysis applies applied mechanics, materials science, and applied mathematics to measure a structure’s deformations, internal forces, stresses, support reactions, accelerations, and stability. The analysis results verify a structure’s fitness for use, often precluding physical tests. This report presents the results of structural analysis of the Agricultural Unmanned Aerial Vehicle in compliance with the requirements of DGCA. The analysis includes the Strength of Materials approach to determine loads (Shear Force and Bending Moments) which is utilized for further analysis using the Finite Element Analysis (FEA) approach. Commercial FEA software ANSYS is used for this purpose. The static structural analyses of the UAV are performed under different load conditions. The consequences of these researches show that the planned construction is safe within the flight envelope. This paper lays the structural analysis framework, which could as a source for additional temporary separation. The products can be increased additional to effective reports like Crash Test, sloshing examination of Fuel tanks, Etc. to mimic real-time events. This paper is required to showcase the structure’s authenticity (hypothetical load circumstances compelling) for certification determinations and vibration endorsement from DGCA.

Enhancing Air Pollution Predicton Using Artificial Neural Network with XG Boost Algorithm
Authors:- Assistant Professor Christina Rini R, Aishwarya N, Meenakshi G, Saranya M

Abstract:- Air pollution has become a major public health concern in recent years. Despite substantial improvements in overall air quality in recent years, India remains the third most polluted country according to the latest edition of the World Air Quality Report [1]. The release of gases into the air that are harmful to human health and the environment is referred to as air pollution. Lung cancer, cardiovascular disease, respiratory disease, and metabolic disease have all been linked to high concentrations of fine particulate matter with a diameter less than 2.5 m (PM2.5). Experimental research with various machine learning algorithms has yielded promising results in the field of air pollution prediction. Predicting air quality by determining concentrations will assist different departments, including governments, in alerting people who are at high risk, reducing complications. An improved air pollution prediction approach based on the XGBOOST and ARTIFICIAL NEURAL NETWORK algorithms is used to forecast air quality. Our goal is to look into a machine learning-based approach for air quality forecasting using the AQI index and get the best results possible. In addition, we compare the performance of different ML algorithms from the dataset with the use of a GUI to predict air quality bycharacteristics.

Localization of Partial Discharge in a Transformer Winding Using Ladder Network – A Review
Authors:- Tejal Dixit, Vivek Anand

Abstract:- The Detection of the location of partial discharge in the windings of power transformers has always been considered a challenging task because of the convoluted structure of the winding. There are several methods proposed for the localization of partial discharge in the transformer winding. In this paper, we have concluded a detailed study on detecting the partial discharge using a ladder network to compute the response of a partial discharge in a winding of a transformer. The algorithm for two separate winding sections that are along and across the winding is computed. A response is calculated at the winding neutral terminal.

A Study on Proximate Analysis of Chicken Intestine and Chicken Skin
Authors:- Asst. Prof. Mohammad Saydul Islam Sarkar, Student Md. Saiful Islam

Abstract:- In the present study, percentage of protein, fat, moisture, ash and carbohydrates of poultry by product was studied. For this analysis poultry by product were collected from dining and restaurant. For chicken intestine the intestine percentage of protein, fat, moisture, ash and carbohydrate was 68.28%, 8.64%, 7.37%, 4.33% and 11.40% respectively. For chicken skin the percentage of protein, fat, moisture, ash and carbohydrate was 22.16%, 47.64%, 9.2%, 11.14% and 10.86% respectively. Percentage of protein was more in intestine than skin. Percentage of fat content was more in skin than intestine. Percentage of moisture content was similar between intestine and skin. Percentage of ash content was more in skin than intestine. Percentage of carbohydrate content was similar between intestine and skin.

COVID – 19 Detection Using Medical Imaging and Health Parameters
Authors:- Aditya Raute, Alisha Punwani, Siddhesh Hadkar, Heramb Kulkarni, Asst. Prof. Lifna C.S.

Abstract:- This research paper focuses on the use of advanced technology in confluence with readily available machinery to create a testing environment for COVID-19 that is more efficient, accurate, and has a higher reachability. This paper aims to develop a unique algorithm for detection of COVID-19 based on chest X-Rays, in combination with the patient’s medical information including symptoms, age, bloodwork, and possible contact with someone infected with the virus. This proposal will especially be instrumental in locations with inadequate medical staff, and can drastically reduce the diagnosis time that is otherwise required.

Excessive Retardation in Concrete
Authors:- P.Senthamil Selvan

Abstract:-Setting time of concrete has vital role in the construction process. Retarders are used where early setting of concrete is not required and when higher retention period is needed to place the concrete. Chemical composition of retarder is formulated to stop the hydration temporarily to delay the initial set of concrete. Once the effect of retarder wears off initial set will begin and hardening will develop. Use of concrete as a construction material depends upon the fact that it is plastic in fresh state and gets hardens subsequently with considerable strength. This change in physical properties is due the hydration process which is irreversible. This reaction is gradual, first stiffening of concrete and then development of strength which continues for a long time. The rate of reaction primarily depends on the cement property, concrete mix, and use of mineral and chemical admixtures. It is observed from study that delayed setting of concrete has impacted only early compressive strength of concrete but later strength at 28days remains unaffected by delayed setting of concrete.

Factors Affecting Water Absorption in Hardened Concrete
Authors:- P. Senthamil Selvan

Abstract:Concrete can absorb moisture because of its porous nature. When ambient relative humidity is high, concrete will absorb moisture from the air. When relative humidity is low, water will evaporate from the concrete in to the ambient environment. This absorption of moisture by concrete causes dampness in roof slabs and when concrete is more porous dampness will be higher. Porosity in concrete especially in roof slabs is caused by following several factors; Poor mix proportion, Poor compaction and laying, Curing regime, Poor construction practices.And dampness in roof slab which is primarily absorption of moisture by concrete is caused by following factors; Porosity of concrete, Relative Humidity, Surface area of element, Exposure period of wetting and drying.

A Review Article of thermal Analysis of Shell and Tube Heat Exchanger Using Artificial Neural Network
Authors:- Dhananjay Kumar, Asst. Prof. Deepak Solanki

Abstract:This review explains the effective utilization of artificial neural network (ANN) modeling in various heat transfer applications like steady and dynamic thermal problems, heat exchangers, gas-solid fluidized beds etc. It is not always feasible to deal with many critical problems in thermal engineering by the use of traditional analysis such as fundamental equations, conventional correlations or developing unique designs from experimental data through trial and error. Implementation of ANN tool with different techniques and structures shows that there is good agreement in the results obtained by ANN and experimental data. The purpose of the present review is to point out the recent advances in ANN and its successful implementation in dealing with a variety of important heat transfer problems. Based on the literature it is observed that the feed-forward network with back propagation technique implemented successfully in many heat transfer studies. The performance of the network trained were tested using regression analysis and the performance parameters such as root mean square error, mean absolute error, coefficient of determination, absolute standard deviation etc. The authors own experimental investigation of heat transfer studies of tube immersed in gas-solid fluidized bed using ANN is included for strengthening the said review. The results achieved by performance parameters shows that ANN can be used reliably in many heat transfer applications successfully.

Security in ad-hoc network using encrypted data transmission and Steganography
Authors:- Prof. Ravindra Ghugare, Ankita Patil, Ajay Jha, Dhiraj Kuslekar

Abstract- Currently, there has been an increasing trend in outsourcing data to remote cloud, where the people outsource their data at Cloud Service Provider(CSP) who offers huge storage space with low cost. Thus users can reduce the maintenance and burden of local data storage. Meanwhile, once data goes into cloud they lose control of their data, which inevitably brings new security risks toward integrity and confidentiality. Hence, efficient and effective methods are needed to ensure the data integrity and confidentiality of outsource data on untrusted cloud servers. Thepreviously proposed protocols fail to provide strong security assurance to the users. In this paper, we propose an efficient and secure protocol to address these issues. Our method allows third party auditor to periodically verify the data integrity stored at CSP without retrieving original data. To compare with existing schemes, our scheme is more secure and efficient.

Design; Construction and Evaluation of Engine Operated Rotary Tiller
Authors:- Tamiru Dibaba, Rabira Wirtu, Wasihun Mitiku, Teklewold Dabi

Abstract- Currently, as Ethiopia is importing most of the agricultural mechanization technologies, including power tillers, there are significant shortages for using powered farm machineries in the country. Thus, this activity was initiated to design and construct an engine operated rotary power tiller locally and test performances. Accordingly, the design of this machine was based on the total specific energy requirements which carried out for an L-shape rotary tiller blade through using mathematical model. This rotary tiller was operated by 10 hp motor engine out of this 2.25 hp of the power was used to dig the soil. The performance of the machine was evaluated in terms of theoretical field capacity, actual field capacity and field efficiency on clay soil. The results indicated that the theoretical field capacity, the actual field capacity and the field efficiency was 0.146 ha/hr., 0.134 ha/hr. and 91.78 % respectively at 1.11 g/cm3 soil bulk density and 30.3 % soil moisture content. The soil mean clod diameter after pass through by rotary was 0.127 mm. But, the designed rotary tiller requires some improvement on operation system as writing on recommendation parts before demonstration.

Robot for Defense & Security with IOT
Authors:- P.G. Scholar Manjula M, Asst. Prof. Jagadeesh B N, HOD. Dr. Narasimhamurthy M S

Abstract- This Project is an IR & camera-based security system or robot for protected areas & borders, which senses the Intruders, trespassers and transfer video to other end. The robot to be built is going to have an IR Sensor which senses any intruders / trespassers and will activate the alarm as well as switch on the guns. The robot will also be capable of shooting the intruder when he cross the border, the bullet shall also be equipped with a GPS facility so that incase if the intruder tries to escapes he can be tracked with devices or smart phone. The robot will also activate the Camera, which will start capturing the live video and transmit the same to the receiver end, the smart phone. It will trigger the alarm and the data will be transferred to the mobile device.

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