IJSRET Volume 7 Issue 4, July-Aug-2021

Uncategorized

Prediction of Rainfall Using Machine Learning Algorithms
Authors:- Ishwarya G, Santhrupthi M B, Shanthi B, Asst. Prof. Varsha N

Abstract-Prediction of rainfall using precipitation forecast is significant as substantial precipitation can prompt numerous debacles. The expectation assists individuals with taking preventive measures and besides the forecast ought to be exact. There are two sorts of expectation transient precipitation forecast and long haul precipitation. Forecast generally transient expectation can gives us the precise outcome. The fundamental test is to construct a model for long haul precipitation forecast. Substantial precipitation expectation could be a significant disadvantage for geology division since it is firmly connected with the economy and lifetime of human. It is a reason for cataclysmic events like flood and dry spell that square measure experienced by people across the world every year. Precision of precipitation articulation has decent significance for nations like India whose economy is fundamentally reliant upon horticulture. The powerful idea of air, applied math procedures neglect to give reasonable precision to precipitation proclamation. The forecast of precipitation utilizing AI methods may utilize relapse. Expectation of this undertaking is to offer non-specialists simple admittance to the methods, approaches used in the area of precipitation forecast and give a near report among the different AI strategies.

Contingency Analysis
Authors:- Asst. Prof. Vishal V. Mehtre, Shubham Saket, Siddharth Gautam

Abstract- A dependable, continuous supply of electrical energy is a necessary component of today’s advanced societies. Hence to maintain the power system security and reliablity is one of the inmportant tasks for system engineers. The security assessment is an important task because it provides information related the state of the system in the case of a contingency. Contingency like sudden loss of line or generator or increase/decreased in power demandcause voilation of bus voltage or transmission line overloading. Hence to keep the system safe and continuity of supply contingency analysis is important. Different terms related to contingency including FDLF is reviewed in this paper.

Safety Perception Survey as a Tool for Improving the Safety Climate in a Manufacturing Industry
Authors:- S Vashishta

Abstract- Safety in the Steel industry has always been an area of concern. Though significant improvements in safety awareness of the employees have been achieved along with deployment of safer equipment & technology, incidents still continue to occur and the industry still continues to lag behind most other high risk industries as far as level of safety climate is concerned.A safety climate survey aims to measure employee’s perceptions on the status of safety at their workplace & can help in identifying the gaps in various Safety Management System elements, thereby providing management with useful insights to plan their strategies.The paper aims to measure the Safety Climate of a Steel manufacturing Plant through a Safety perception survey. A questionnaire-based survey was considered as it is one of the most frequently used and widely accepted methods for measuring safety climate. A questionnaire was developed consisting of 5 safety climate components with 44 questions and was administered to 102 employees (Supervisors, technicians, workers, etc.). Various Statistical tools like mean, SD, Variance, Cronbach’s alpha & Split half correlation, and one-way ANOVA test were applied for doing various types of analysis and arriving at conclusion.

Automatic Questionnaire Generator
Authors:- Asst. Prof. G.Vijaya Lakshmi, P. H Saraswathi, B.Reshmi, T. Sai Santoshi, P. Sunith Kumar

Abstract- This Project is based on the work carried out on bulk amount of text. Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. This system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor. Therefore, automatic question generation from learning resources is the primary task of an automated questionnaire generator. Stop words and unwanted words are identified by NLP techniques. In order to perform machine learning on text, the data is transformed into vector representations such that we can apply numeric machine learning. Representing data numerically gives us the ability to perform meaningful analytics and also creates the instances on which machine learning algorithms operate. Hence feature extraction is done by using Spacy module and performing One-Hot-Encoding. Naïve Bayes Classifier is used to train the data and the model performance is evaluated on the basis of metrics such as accuracy, precision, f1 score, recall, confusion matrix. The purpose of this project is to generate and assess the questions automatically in 3 formats (True/False, Choose the correct answers, Cloze Questions) when given text as an input.

The Operation of the “Quiz Test Application Using Python Studio
Authors:- UG Student Amar Bansode, UG Student Rakesh Navghan, UG Student Santosh Birajdar, UG Student Anil Nivargi, UG Student VikasBhadkumbe, Lecturer Snehal Shinde

Abstract- Purpose: This paper shows the working of python App this quiz application. Also, it gives the processes which happen in the supply quiz industry.The main aim of this research paper is quiz app software and technology. The analysis should include market and users need in order to be able to fabricate the quiz application and make it available for users as a helpful utility and entertaining application. This research paper is mainly motivated to solve certain problems related, for example, to disable student and in general to collaborative learning. In general the Project & Title will be selected from various sources and send it. to the top like the Project Title along with a bud ese new of the Project in a document called Project Abstract The HOD will accepts the Project and allows the student to proceed and start working on the Project In the middle of the Project designing the HOD also makes a proudest to the Student in and the Sample Code of any medal as well. And at the final the Studies has porcine the cells Documents like Project Final Document. Source Code and all the content in a Compact Dock (CD) and to the HOD along with printed and copy The HOD will see all these documents and finishes the Project Review and enters the Marks to the College records Thus we selected e-Project Submission as our Project to reduce.

Coupled Inductor Based Single-Stage Boost Inverter
Authors:- M. Tech. Scholar Mr. Ravikumar Wakade, Prof. R. M. Bhombe, Prof. Yogesh Likhar

Abstract- Renewable power systems as distributed generation units often experience big changes in the inverter input voltage due to fluctuations of energy resources. Often, a front-end boost converter is added to step up the dc voltage when the energy re- sources are at a weak point. However, when a very high boost gain is demanded, the duty cycle may come to its extreme and large duty cycles causes serious reverse-recovery problems. This paper proposes a novel single-stage boost-type inverter with coupled inductor. By introducing impedance network, including coupled inductor, into the three-phase bridge inverter, and adjusting the previously forbidden shoot-through zero state, the converter can realize a high boost gain and output a stable ac voltage. The single-stage operation of the converter may lead to improved reli-ability and higher efficiency. Theoretical analysis, simulation, and experimental results are presented to verify good performance.

Covid 19 Detection from Chest X-Ray Images Using Deep Learning
Authors:- Sanket Dhobale, Aniket Kandrikar, Sumeet Manapure, Aniket Zullarwar

Abstract-The Covid-19 first occurs in Wuhan, China in December 2019. After that the virus spread all around the world and at the time of writing this paper the total number of confirmed cases are above 170 million with over 3.8 million deaths. Machine learning algorithms built on radiography images can be used as a decision support mechanism to aid radiologists to speed up the diagnostic process. CNN is a Deep Learning algorithm, we are using Convolution Neural Network(CNN) to identify the different features of the x ray images or we can say to visualize the most discriminating regions of the input images. We are taking images of chest x-rays from github. The application of deep learning in the field of COVID-19 radiologic image processing reduces false-positive and negative errors in the detection and diagnosis of this disease and offers a unique opportunity to provide fast, cheap, and safe diagnostic services to patients.

Handwritten Equation Solver Using Convolutional Neural Network
Authors:- Shweta V. Patil, Apurva S. Patil, Harshada C. Mokal, Asst. Prof. Mr. Swapnil Waghmare

Abstract-At present, there is advancement in every sector of technology. Machine learning and deep learning technologies are important parts nowadays. Many fields such as artificial intelligence, handwritten recognition, robotics, and many uses these techniques. Convolution Neural Network is used for classification, image processing, and segmentation. In our project, we had developed a web application that solves handwritten equations. It captures handwritten equations via camera and the character recognition takes place through preprocessing of image. Segmentation along with the character classification is the most difficult part. Convolution Neural Network is used for classification of character that makes the equations as a string. String operations performed on each recognized equation for the solution. As based on earlier modules of equation solver, we have added a module that provides a link for each solution. Hence, our implemented model is easy to access to solve complicated equations, and get precise output.

Handwritten Equation Solver Using Convolutional Neural Network
Authors:- Harshil Jain, Asst. Prof. Hemant Amhia

Abstract- Satellite image enhancement is the technique which is most widely required in the field of satellite image processing to improve the visualization of the features. Satellite images are captured from a very long distance, so they contain too much noise and distortion because of atmospheric barriers. After capturing the image, some radiometric and geometric corrections are carried out on it but they are not sufficient for all the applications. It is very important to enhance the restored image before using it. In this paper, different methods for satellite image enhancement viz. contrast enhancement, resolution enhancement, edge enhancement, density slicing, digital mosaics and synthetic stereo images are discussed in detail, as well as experimental results of two techniques viz. contrast enhancement of multispectral color composite and IHS (Intensity, Hue, Saturation) transformation are shown.

MATLAB Simulation Based Reasonable Investigation of MPPT Methods for Cuk Converter Established Solar PV System to Connect to Utility Grid
Authors:- M. Tech. Scholar Dasharath Moyade, Asst. Prof. Dr. J. S. Shakya, Asst. Prof. S.S. Thakur, Associate Prof. C.S. Sharma

Abstract- In this paper presents a reasonable investigation of Maximum power point tracking system(MPPT) using a perturb and observe algorithm for Cuk DC-DC power converter based solar photovoltaic (PV) system to supply power to on grid.Cuk converter delivers an output voltage that may be less than or greater than input voltage. An imperativeimprovement of Cuk converter is a constant current at both the input and the output of the converter. Drawbacks of the Cuk converter are a high number of reactive components and high current stresses on the switch. The Cuk converter delivers a batter output voltage with reduced ripples and increase efficiency. MPPT methods are used in solar PV systems to extract the maximum power from the PV array under dynamic atmospheric circumstances. The electric power generated by solar panel, this power is regulated and it is required to constant power through the Cuk converter is used for improve to desirable voltage at solar panel. These methods are stimulated by MATLAB/Simulink program.

GASBE: A Graded Attribute-Based Solution for Access Control in Cloud Computing
Authors:- Piyush Kumar Jain, Prof. Rupali Bhartiya

Abstract- Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services over the Internet. As promising as it is, this paradigm also brings forth many new challenges for data security and access control when users outsource sensitive data for sharing on cloud servers, which are not within the same trusted domain as data owners. To keep sensitive user data confidential against un-trusted servers, existing solutions usually apply cryptographic methods by disclosing data decryption keys only to authorized users. However, in doing so, these solutions inevitably introduce a heavy computation overhead on the data owner for key distribution and data management when fine grained data access control is desired, and thus do not scale well. The problem of simultaneously achieving fine-grainedness, scalability, and data confidentiality of access control actually still remains unresolved. This paper addresses this challenging open issue by, on one hand, defining and enforcing access policies based on data attributes, and, on the other hand, allowing the data owner to delegate most of the computation tasks involved in fine grained data access control to un-trusted cloud servers without disclosing the underlying data contents. We achieve this goal by exploiting and uniquely combining techniques of attribute-based encryption (ABE), proxy re- encryption, and lazy re-encryption.

Covid-19 Mask Detection
Authors:- Zuveriya, Ummehabeeba R, Asst. Prof. K B Drakshayini

Abstract- The COVID-19 epidemic has forced governments around the world to set limits on the transmission of the virus. A report shows that wearing the right face mask when in a public place and at work clearly reduces the risk of transmission. An effective and economical way to use learning tools to create a safe place to set up a device. With the ongoing epidemic, it is very important to have high quality applications and services designed to reduce risk. The COVID-19 epidemic is a catastrophe for mankind regardless of race, religion, gender and religion. The COVID-19 face mask detector uses in-depth reading techniques to effectively assess whether a person is wearing a face mask or not. Using a deep learning approach called the Convolutional Neural Network; you have found 98.6% accuracy. Cases where the mask is worn improperly are where the nose and mouth are partially covered as the mask is not worn.

IOT Based Disinfection and Sterilization using Temperature and Humidity
Authors:- Asst. Prof. Ms. M. Nalina Sangaviya, S. Lakshmanan, M. Pavithra, G. Sasireka, G. Vahini

Abstract- The Project is developed based on the Guideline for Disinfection and Sterilization in Healthcare Facilities, University of North Carolina Health Care System. Extrapolates quantitative data for ozone virucidal activity on the basis of the available scientific literature data for a safe and effective use of ozone in the appropriate cases and to explore the safety measures developed under the stimulus of the current emergency situation. Ozone is a powerful oxidant reacting with organic molecules, and therefore has bactericidal, virucidal, and fungicidal actions. At the same time it is a toxic substance, having abverse effects on health and safety. Instead of Ozone system, here we are proposed Temperature and Humidity based Disinfection and Sterilization system. Proposed system maintaining 37OC and 85% of Relative humidity at Disinfection and Sterilization area. Its use is being proposed for the disinfection of workplaces, public placeswith particular reference to the COVID-19 pandemic outbreak. Water mist is generated by Ultrasonic based mist maker and Temperature of the room is increased by heater attached with proposed system. It should be injected into the room that is to be disinfected until the desired Humidity and Temperature concentration is reached. After the time needed for the disinfection, its concentrations must be reduced to the levels required for the public safety. Here we are using Node MCU Esp8266 module to transfer status of the system to remote location. Electromagnetic relay is used to turn on and off the Ultrasonic humidifier and Heater.16*2 LCD display is used to display the notification to user side. The developed system improves the reliability and stability of Disinfection and Sterilization.

Performance of Telecommunications Tower During Seismic and Wind Loading Condition
Authors:- M. Tech. Scholar Shubham P Patel, Asst. Prof. Nirmal S. Mehta, Asst. Prof. Hiral V. Patel

Abstract- Four-legged self-supporting towers are commonly used in telecommunications around the world. In recent years, the communication industry has experienced considerable growth, resulting in the construction of a large number of towers to improve coverage area and network consistency. These towers play an important part in wireless communication networks, so their collapse in the event of a crisis is a big concern. As a result, when building these towers, harsh situations should be taken into account to the fullest extent possible. The effect of wind on four-legged self-supporting towers has been studied extensively in most studies. A study on models at differing heights with various bracing for earthquake and wind effects was carried out in this dissertation. Gust factor method is used to investigate the wind effect on the structure, and the modal analysis and response spectrum analysis are used to investigate the seismic effect on the structure. The results obtained from the above analysis are tabulated, compared and conclusions are drawn.

V.I.S- Vehicle Information App
Authors:-Sushant Gangwar, Siddhant Chaudhary, Swapnil Tyagi, Asst. Prof. Mr. Praveen Mishra

Abstract- With the ascent of populace and vehicles utilizations, it’s getting hard to keep up and distinguish vehicles in brief timeframe. Thus, such close to home data is accessible just to government access and a few organizations who pay government to share that information. To add straightforwardness numerous organizations unveiled such information with government instruments, for example, SMS administration partnered to government for data or by utilizing cloud served information. Such applications or instruments are named as Vehicle Information Systems which are utilized to discover data with respect to any vehicle either enlisted or is obscure to information on use and spot. Such frameworks are gainful in dealing with the information base of vehicle enrolled effectively. These frameworks are broadly utilized by enormous organizations to keep up the information of vehicles left in their place. Likewise utilized by Police and other protection association to find dubious things. Large numbers of openly accessible such administrations or virtual products got obsolete or beaded with the ascent of OS refreshes. IOS has just scarcely any such applications coming up and generally individuals who use IOS need to depend on SMS administration or government sites. Despite the fact that administration give data on solicitation however it doesn’t share entire information of the specific vehicles. That data is sub-separated in divisions of individuals who are mentioning them which implies any authority like Police can have entire subtleties improbable ordinary individuals because of protection and security reasons. With concentrating of different devices and thoughts that exposed in this framework, we get some answers concerning deserted devices, for example, OCR, Credential Recognition and so on These instruments were great however didn’t functioned admirably over various OS and subsequently Hybrid Variants were presented in investigation which fairly adjusted the exhibition to a degree. In 2019, Indian Government made the stride of digitalization and reported API of such information which was simply accessible to confided in specialists of India. Programming interface apparatus took the large jump in optimizing and accessibility of information with no security break. With the writing and articles, we presumed that distinctive OS administrations are there yet just a couple of administrations act in each OS. To fill the gap of administrations we choose to make a help that will safely and productively work cross-stages.With the ascent of populace and vehicles utilizations, it’s getting hard to keep up and distinguish vehicles in brief timeframe. Thus, such close to home data is accessible just to government access and a few organizations who pay government to share that information. To add straightforwardness numerous organizations unveiled such information with government instruments, for example, SMS administration partnered to government for data or by utilizing cloud served information. Such applications or instruments are named as Vehicle Information Systems which are utilized to discover data with respect to any vehicle either enlisted or is obscure to information on use and spot. Such frameworks are gainful in dealing with the information base of vehicle enrolled effectively. These frameworks are broadly utilized by enormous organizations to keep up the information of vehicles left in their place. Likewise utilized by Police and other protection association to find dubious things. Large numbers of openly accessible such administrations or virtual products got obsolete or beaded with the ascent of OS refreshes. IOS has just scarcely any such applications coming up and generally individuals who use IOS need to depend on SMS administration or government sites. Despite the fact that administration give data on solicitation however it doesn’t share entire information of the specific vehicles. That data is sub-separated in divisions of individuals who are mentioning them which implies any authority like Police can have entire subtleties improbable ordinary individuals because of protection and security reasons. With concentrating of different devices and thoughts that exposed in this framework, we get some answers concerning deserted devices, for example, OCR, Credential Recognition and so on These instruments were great however didn’t functioned admirably over various OS and subsequently Hybrid Variants were presented in investigation which fairly adjusted the exhibition to a degree. In 2019, Indian Government made the stride of digitalization and reported API of such information which was simply accessible to confided in specialists of India. Programming interface apparatus took the large jump in optimizing and accessibility of information with no security break. With the writing and articles, we presumed that distinctive OS administrations are there yet just a couple of administrations act in each OS. To fill the gap of administrations we choose to make a help that will safely and productively work cross-stages.

Solar Power Inverters
Authors:- Meghana S

Abstract- An inverter converts the DC generated by the solar panels to AC which is used by the electrical grids. Inverters are the example of a class of devices called power electronics that regulate the flow of electrical power.

Concentrated Solar Power
Authors:- Nisarga MR

Abstract- Integration technology has become important due to the world’s energy requirements which imposed significant need for different methods by which energy can be produced or integrated, in addition to the fact that integration of solar energy into non-renewable sources is important as it reduces the rates of consuming of non-renewable resources hence reduce dependence of fossil fuels. Basically, there are two types of solar power generation used in integration with grid power – concentrated solar power (CSP) and photovoltaic (PV) power. CSP generation, sometimes known as solar thermal power generation, is much like conventional thermal power generation that converts thermal energy (steam) into electricity.The direct current is then converted to alternating current, usually using inverters and other components, in order to be distributed onto the power grid network.

A Study of HRM and Digital Transformation in Organization’s Strategy and Policies: Reshaping HR Space
Authors:- Phd. Scholar Miss. Sunakshi Verma, Dr. Neeti Rana

Abstract- A digital strategy is essential for “Future-proofing” a Company That wants to stay ahead of the competition.This research paper emphasized the importance of artificial intelligence and digital technologies in HR management: Its review three areas related to Digital Transformation in Organization” Digital workforce”, ”Digital Workplace” and “Digital Management & employee”, its showing most important issues at present are cloud Computing, Internet of things (IoT), exabytes of data and artificial intelligence(AI).The objective of this study “Digitalisation + Transformation = Productivity” this everyone can agree that under pressure and confusion, digital transformation involves a number of important changes, time-saving, opportunity, reshape and reinforce their roles within their organization. The paper illuminates to explore the use of technology-driven tools in HR professionals to use these innovations in positive ways. In this study I worked primary and secondary data has been collected through structured Questionnaire and Secondary data was collected from business magazines, Case study, Published data, books, e-journals, newspapers- the novelty of this study consists in exploring the HRM digitalization process in the organization.

Plant Disease Detection Using Neural Network
Authors:- Ms. Harsha Gupta, Aakash Bhatt, Adarsh Verma, Anshu Kr. Singh, Tushar Bhatt

Abstract- When plants and crops are suffering from pests it affects the agricultural production of the country. Usually, farmers or experts observe the plants with an eye for the detection and identification of disease. But this method is often time processing, expensive and inaccurate. Automatic detection using image processing techniques provide fast and accurate results. This paper cares with a replacement approach to the development of a disease recognition model, supported leaf image classification, by the utilization of deep convolutional networks. Advances in computer vision present a chance to expand and enhance the practice of precise plant protection and extend the market of computer vision applications within the field of precision agriculture. a unique way of training and therefore the methodology used to facilitate a fast and straightforward system implementation in practice. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images to make a database, assessed by agricultural experts, a deep learning framework to perform the deep CNN training. This method paper may be a new approach in detecting plant diseases using the deep convolutional neural network trained and finetuned to suit accurately the database of a plant’s leaves that was gathered independently for diverse plant diseases. The advance and novelty of the developed model dwell its simplicity; healthy leaves and background images are in line with other classes, enabling the model to distinguish between diseased leaves and healthy ones or from the environment by using CNN. Plants are the source of food on earth. Infections and diseases in plants are therefore a big threat, while the foremost common diagnosis is primarily performed by examining the plant body for the presence of visual symptoms [1]. As an alternative to the traditionally time-consuming process, different research works plan to find feasible approaches towards protecting plants. In recent years, growth in technology has engendered several alternatives to traditional arduous methods [2]. Deep learning techniques are very successful in image classification problems.

A Implementation of Digital Image Forgery using DWT and SIFT Features
Authors:- Research Scholar Chavi Rana, Asst. Prof. Gyanendra Kumar Singh

Abstract- The use of digital photography has increased over the last few years and this trend has opened the door for image forgery. Image forgery has become a central issue in many applications. Common techniques used to create fake digital images (copy-moving images) Existing systems integrate block-based and key point-based forged detection in this work methods DWT extraction and SIFT Features with SLIC super pixel segmentation algorithms is proposed to detect the forgery area from the dataset. Existingwork can roughly indicate suspicious, forged areas. The proposed system approach reduces image debugging increase the accuracy and detects copy-moving image forgery region. The most important contribution of this proposed work is to use local termination criteria for each cluster to avoid cluster and image region audits, and there have been no major changes since the last iteration. Adaptively, the algorithm divides the host image into non-overlapping and irregular blocks, extracts function points from each block, and matches the block functions to each other to locate the selected function points. An effective method of detecting image forgery is proposed. This simulation executed in MATLAB simulation.

Detection of Digital Forgery Image using Discrete Wavelet Transform and SIFT Features Extraction
Authors:- M.Tech Scholar Deepali Pal, Prof. Amit Shrivastav

Abstract- Digital images have a very significant role in various fields like medical imaging, journalism, criminal and forensic investigations. Because of the widespread availability of photo editing software and tools, it becomes problematic to use the digital images in applications where their genuineness is of prime importance. Therefore, it is necessary to create forensic techniques which are capable of detecting the tampering in image. Most common operations that are involved in the creation of forged images are contrast enhancement, copy-paste forgery etc. In this paper, we present different techniques for detecting global contrast enhancement and copy-paste forgery. The proposed technique for the detection of contrast-enhanced image is based on contrast calculation. The use of digital photography has increased over the last few years and this trend has opened the door for image forgery. Image forgery has become a central issue in many applications. Common techniques used to create fake digital images (copy-moving images) Existing systems integrate block-based and key point-based forged detection in this work methods DWT extraction and SIFT Features with SLIC super pixel segmentation algorithms is proposed to detect the forgery area from the dataset. Existing work can roughly indicate suspicious, forged areas. The proposed system approach reduces image debugging increase the accuracy and detects copy-moving image forgery region. The most important contribution of this proposed work is to use local termination criteria for each cluster to avoid cluster and image region audits, and there have been no major changes since the last iteration. Adaptively, the algorithm divides the host image into non-overlapping and irregular blocks, extracts function points from each block, and matches the block functions to each other to locate the selected function points. An effective method of detecting image forgery is proposed. This simulation executed in MATLAB simulation.

Design and Experimental Investigation of Thermal Performance of Different Heat Sink for High Power Led Lights
Authors:- Ravindra.H. Raut , Ass. Prof. S.S Jaware

Abstract- LEDs have been used in many products due to their longevity, more power saving, and higher lumens per watt. About 80% of the electrical power is wasted as heat or reductant heat, which increases the junction temperature of the LED’s. This increase in the temperature in the LED’S decreases the longevity and color of LED’S. Proper thermal management is required to remove this heat effectively. The heat sink design and usage of proper thermal interface materials for increasing the heat removal is required. In this paper, temperature increase in a LED fixture during a time interval with and without thermal interface material is measured and tabulated to find the effectiveness of the thermal interface material in removing more heat is studied. In addition, a simulation using Solidworks thermal simulation is done to validate the analytical thermal-time study results. The entire study provides a guideline for the design of LED high bays in the future and demonstrates the importance of the thermal interface materials in the design studied.

PSO and Automatic Finite Deterministic Algorithm for Secured Energy Efficient Routing in Wireless Sensor Network
Authors:- M.Tech. Scholar Diksha Jharbade, Prof. Amit Shrivastav

Abstract- 5G wireless sensor network (WSN) is a network of autonomous nodes used to monitor the environment. Energy competence or secure data transmission are measured as mainly imperative devise goals for WSN. With the increase in difficulty of workstation networks, the increase in network-based attacks has attracted consideration of different researchers from several fields. Therefore, many intrusion detection systems (IDS) have been implemented to address various aspects of complex safety, such as DoS, worms, viruses, malware, etc. IDS automation has been planned to recover realization of energy resourceful routing in wireless sensor networks in a secure manner. Automatic finite deterministic and particle swarm optimization (PSO) solutions for intrusion detection and data transmission performed in a secure manner by determining and following an optimized path Routing through the best path can recover overall presentation of sensor network in wireless technology and has been controlled through various indicators (such as power expenditure, capacity, network life, active nodes and dead nodes). In this work, threat model and safety objectives for secure routing in wireless network. This simulation executed in MATLAB simulation platform.

Consumer-Service Provider Connect
Authors:- Shrestha Sharma, Nabhya Jha, Nimal Nainan, Shweta Tripathi

Abstract- We have created an online portal that helps the users using it to either provide services or seek services.The main aim of this project is to create a system which connects consumers and service providers. The consumers and service providers can both post their targeted requirements and seek out each other. The jobs may include short or long term services. Consumers can browse for services and send requests to the service providers by filling the required details. The service provider who finds the details of the service in accordance with his/her schedule and is ready to provide the service will accept the request and will be assigned to the consumer. This will open a new window of opportunities for several people in situations where they cannot actively go out to seek jobs or cannot work consistently.

A Study of HRM and Digital Transformation in Organization’s Strategy and Policies: Reshaping HR Space
Authors:-Phd. Scholar Sunakshi Verma, Dr. Neeti Rana

Abstract-A Digital strategy is essential for “Future-proofing” a Company that wants to stay ahead of the competition.This research paper emphasized the importance of artificial intelligence and digital technologies in HR management: Its review three areas related to Digital Transformation in Organization” Digital workforce”, ”Digital Workplace” and “Digital Management & employee”, its showing most important issues at present are cloud Computing, Internet of things (IoT), exabytes of data and artificial intelligence(AI).The objective of this study “Digitalisation + Transformation = Productivity” this everyone can agree that under pressure and confusion, digital transformation involves a number of important changes, time-saving, opportunity, reshape and reinforce their roles within their organization. The paper illuminates to explore the use of technology-driven tools in HR professionals to use these innovations in positive ways. In this study I worked primary and secondary data has been collected through structured Questionnaire and Secondary data was collected from business magazines, Case study, Published data, books, e-journals, newspapers- the novelty of this study consists in exploring the HRM digitalization process in the organization.

Optimization of Functional Beverages made from Ginger Cumin and Honey
Authors:- Rasik R.Thkur, Nitish V Khanvilkar, Sayli N Kale, S.M. Lokhande, Amol Prakash Sonone

Abstract- Ginger and honey both have an excellent nutritional and medicinal property that is why the combination of both in the right proportion makes highly nutraceutical as well refreshing drinks. Energy drinks are widely consumed by adolescents as these claim to improve performance, endurance, and alertness. Looking at the contents in the energy drinks and their benefits, the industry may like to relook at what the consumers really need. We are developing the functional drink by using ginger, Cummins, honey with the addition of water to rehydrate. The present investigation was undertaken with the objective of standardizing the process for the preparation of the functional beverage product was evaluated for proximate analysis, sensory analysis, and storage condition. Beverage contain 13% Brix, 0.20 % Acidity, these parameters remain constant at cold storage for more than 30 days. We used honey in the product instead of sugar, jaggery, or any other artificial sweetener for better consumption for diabetic patients. Increased urbanization, rising disposable income, and growing health consciousness among the youth have increased the demand for non-carbonated drinks called energy drinks.

Using GIS to Assess the Hydropower Potential of a Run-of-River Small Hydropower Plant in Chamkhar River, Bhutan
Authors:- Dorji Letho, Leki Dorji, PhuntshoTashi, Jamyang Seldon

Abstract- Bhutan is a considered as a carbon negative country as forested sequestered more amount of CO2 as compared to the CO2 emission through variety of activities. Being the world’s only carbon negative economy, hydropower development continues to play a major role in Bhutan’s sustainable economic development.Clean energy sources such as hydropower, are crucial in combating global warming and the effects of it. Bhutan is blessed with one of the highest per capita hydropower potentials in the world and has only harnessed around 6.3% of its total hydropower potential so far. It also has numerous potential sites for small scale run-of-river hydropower, which have minimal adverse environmental impacts, in contrast to large scale hydropower plants. The limitations fostered to such development have been imposed by the inaccessibility physically to these locations, owing to the rugged terrain making a difficult to select an appropriate location, thus it could be partially solved and boosted by the use of GIS technology of ArcGIS tools. In using such tools, enable us to explore hydropower potentials in faster, cost effective and precise ways. This paper studies the location of the run-of-river small scale hydropower potential along the Chamkhar River in Bhutan. Ninety-eight potential locations were found under the criteria of the head, discharge and slope criteria out of which twenty-seven locations lied outside protected bounds. Of these only ten of them are further taken to get the most optimized location and this result can be refined by field studies to select the most optimized location among the potential ones.

Design & Fabrication of Sugar Globules Making Machine
Authors:- Associate Prof. N. H. Chahande, Amit H. Pall, Pranjali P. Zade, Akshay V. Nimje, Tushar K. Karwade

Abstract- As progress of Medical Science increasing day by day likewise the side effect of allopathic medicines are also being seen in the world. Looking to the adverse effect of allopathic medicines population of this era is moving towards the Ayurveda & Homeopathic Medicines because it is well known that adverse effect of homeopathic & Ayurveda medicines are quite low. Homeopathic globules are commonly used in clinical practice, while research focuses on liquid potencies. Sequential dilution and succession in their production process has been proposed to change the physico-chemical properties of the solvent(s).Various machines have been used over the years to prepare homeopathic medicines. Although these machines follow the same principles, i.e. energetically mixing the medicines and diluting them significantly, their mode of operation is different from each other.

Detection of Autism Spectrum Disorder Using Machine Learning
Authors:- Kruthi C H, Tejashwini H N , Poojitha G S, Shreelakshmi H S, Asst. Prof. Shobha Chandra K

Abstract- Autism spectrum Disorder (ASD) also known as Neuro-developmental disorder that affects people’s interaction, learning and communication skills. Despite the fact that identification of this syndrome can be done at any age, its symptoms typically appear in the first 2 years of life. Determining the autism traits through screening tests is extravagant and extensive. With the improvement of artificial intelligence and machine learning, autism can be detected at quite an early stage. However a number of studies have been done using different techniques, these studies did not provide any final conclusion about detecting autism traits among the people of age group 3 years and below. Hence the paper aims to present an autism prediction model using machine learning techniques and to develop a web application that could successfully predict autism traits of a person. In other words, this paper focuses on developing an autism screening application for detecting the autism spectrum disorder traits among the people of age 3 years and below. This project model was evaluated with AQ 10 dataset (1054 datasets) and 50 actual dataset collected from people with and without autism traits. The Analysis results showed that the proposed prediction model gives better results in terms of specificity, precision, sensitivity, accuracy and f1 score for both datasets.

IoT Based Air Pollution Monitoring System
Authors:- Ashwini, Anvitha Poojary, Anvitha U, Akshata Hedge, Prof. Dr. Mohideen Badhusha S

Abstract- Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino IDE (Integrated Development Environment), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed a Web front-end so that users can view and access relevant air quality data from the cloud.

The Multi-Phase Spatial Meta-Heuristic Algorithm for Public Health Emergency Transportation
Authors:- Fariba Afrin Irany, Arnav Iyer, Armin R. Mikler, Rubenia Borge Flores

Abstract- The delivery of Medical Countermeasures -MCMs for mass prophylaxis in the case of a bio- terrorist attack is an active research topic that has interested the research community over the past decades. The objective of this study is to design an efficient algorithm for the Receive Reload and Store Problem –RSS in which we aim to find feasible routes to deliver MCMs to a target population considering time, physical, and human resources and capacity limitations. For doing this, we adapt the p-median problem to the POD-based emergency response planning procedures and propose an efficient algorithm solution to perform the p-median in reasonable computational time. We present RE-PLAN, the Response PLan Analyzer system that contains some RSS solutions developed at The Center for Computational Epidemiology and Response Analysis (CeCERA) at the University of North Texas. Finally, we analyze a study case where we show how the computational performance of the algorithm can impact the process of decision making and emergency planning in the short and long terms.

A Review Article Hybrid Power System with Integration of Wind, Battery and Solar PV System
Authors:- Vijay Patre, Associate Prof. Dr. Manju Gupta

Abstract- As the race for global industrialization begin late in 18th century, the developing technology made humans to depend on energy, so as the energy crisis begins, in this modern era, electricity become a most essential need of human beings, from household to industrial work. So, the purpose of the project is to generate electricity without using non-renewable resources and pollution. Since, renewable standalone energy generation systems have disadvantages, which need to be overcame by hybrid systems. Wind and solar energy have being popular ones owing to abundant, ease of availability and convertibility to the electric energy. This work covers realization of hybrid energy system for multiple applications, which runs under a designed circuitry to utilize the solar and wind power. And a designed circuitry for more efficient results, and inverters to convert the electrical energy as per demand.

Face Mask Detector
Authors:- Keerthi Yaramala, Jamula Keerthi Sameera, Harshitha Yarlagadda, Bommina Naga Pranathi

Abstract- In this new era where we are experiencing a pandemic and people all around the world are advised to wear masks, some people are not used to it and are avoiding to wear masks. The motivation behind this projects is that if we can take help of AI to detect people wearing or not wearing masks in public places, it would be helpful to increase our safety. If deployed correctly, the mask detector could potentially be used to help ensure our safety.

Automation and Monitoring of Greenhouse
Authors:- Asst. Prof. Seema G.Bavachkar, Rutuja Upadhye, Mauyri Shinde, Sukanya Swami

Abstract-In traditional agriculture, farmers must regularly visit their farmland to measure various environmental parameters such as temperature, humidity, light intensity and soil moisture in order to grow the right crops on the right soil at the right time.Greenhouse cultivation, on the other hand, is a system in which a farmer grows crops in an ecological environment where all ecological parameters are adjusted according to the plant species. Greenhouse automation is a way for farmers to automatically monitor and control the greenhouse environment anytime, anywhere. In this article, the authors propose an automated greenhouse monitoring and control system that includes various sensors such as temperature sensors, moisture sensors, light sensors, and soil moisture sensors for harvesting.

Review Paper on Harsh Environmental Structural Health Monitoring
Authors:- Hossain Ahmed, Seifollah Nasrazadani, Shuai Ju

Abstract- Proper maintenance and continuous monitoring are essential for ensuring the safety of the structure. Many types of sensors are developed to monitor the degradations of the structure, especially in a harsh environment, to identify the structural defect at a preliminary stage. To consider the material as a sensor in a harsh environment should have the ability to withstand high temperatures or at a high vibration, electromagnetic interference, high strain, etc. The data acquisition technique and an optimum number of the sensor to get accurate data are a significant factor for SHM, especially at the harsh environment. This review will describe the different types of harsh environments and the suitable and application of reliable, high-efficiency sensors based on the harsh environment.

Geospatial Mapping of Flood Susceptibility via Multi-Criteria Analysis AHP and GIS: La Paz Basin, Baja California Sur., Mexico
Authors:- Prof. Joel Hirales-Rochin

Abstract- The research presents the multi-criteria analysis approach (MCA) to describe the effective use of geospatial techniques for the reduction of geohydrological risk and its relationship with urban territorial development at the local level, in the case of the La Paz Basin, Baja California Sur., Mexico. In addition, Geology is presented as a tool to identify areas of geohydrological risk, useful to determine the close relationship between the geological space and the sustainable urban development of a city. From this interaction, it is possible to respond to the growing demand for environmental and urban solutions. Today’s cities are characterized by rapid and poorly planned urbanization, which, together with climate change, has exacerbated the risk of flooding in urban and rural areas globally, resulting in devastating loss of human life and property.At the national, regional and local level where the study area is located, floods are one of the most susceptible geohydrological hazards. The objective of this research is to identify these areas of risk of susceptibility to flooding and to make known the factors that influence it, such as the growing number of new urban areas, which are not linked to an adequate analysis of the hydrological geographic environment and little knowledge of the main factors that control these risk conditions.The methodology was based on a characterization of the geological and hydrogeological conditions of the basin of the city of La Paz; Mexico. The methodology of the Analytical Hierarchy Process (AHP) applied to generate the flood susceptibility map was built based on thirteen influencing parameters, that is, elevation, slope, distance from the drainage network, geomorphology, drainage density, flow accumulation, rainfall, land use / vegetation, geology, stream power index, topographic moisture index, and topography curvature. All this, through geographic information systems (Arcgis). The results represent the first stage of a larger-scale project with the purpose of updating the knowledge of vulnerability and geo-hydrological risks of the study area. Therefore, it is possible to contribute new knowledge to be used in a sustainable growth of the city’s population, the improvement of current construction standards and the corresponding zoning to anticipate its development in an orderly manner. Finally, it is considered that this type of zoning of areas susceptible to risks (urban settlement scale) provides an analysis of the risk conditions where the citizen of any city can be located in his own community and know his own conditions of civil protection. Knowledge that currently most risk studies only offer large-scale results and a broader vision.

Structural Analysis of I-Girder Bridge and Comparison for Various Loading
Authors:- Mr. Abhijeet Fopase, Asst. Prof. Ishant Dahat

Abstract- I-beams and plate design in terms of the simple capital value of the superstructure, the advantages of the shape of the boxing beam, such as better appearance and reduced maintenance, may well deserve the evaluation of the boxing beam as an alternative for any bridge in the span range from 45 m to 100 m. For bridges with a significant curvature of the plan, box beams should always be considered. In particular, if more websites are introduced (than would be used with straps), thinner web panels will need more rigidity. Nevertheless, they may still have a lower shear stress limit and be less effective in bending. Wide compression flanges can also be less than fully effective due to bending considerations (plate beam flanges are usually fully effective). In this paper, various bridges of I-brothers are analyzed using BRIDGELINK software.

Effect of Depression on Functional Recovery – A Correlational Study
Authors:- Md. Zahir Uddin Akanda

Abstract- Study design and purpose: A quantitative and non experimental, correlational study was conducted in order to investigate the relationship between the Beck Depression Inventory (BDI) score and the Functional Independent Measure (FIM) score of the patients with Spinal Cord Injury. Objective: To find out Is there a relationship between BDI and FIM score? How strong is that relationship? What is the direction of the relationship (positive or negative)? Setting: Centre for the Rehabilitation of the paralysed (CRP) Spinal Cord Injury hospital indoor department: Chapain, Savar, Dhaka. Methods: Stratified – systematic random sampling was used to select the participants. Participants were individually interviewed using a semi structured questionnaire, the Functional Independent measure (FIM) and the Beck Depression Inventory (BDI). Results:The data were subjected to statistical analysis. Using a parametric Pearson test, a significant negative correlation (r=-0.3586, p<0.02, for two tailed hypothesis) between the FIM score and BDI score was found. The descriptive data calculated as percentages. Among the patients studied 20% had mild mood disturbance, 7% had borderline clinical depression, 33% had moderate depression, 20% had severe depression, and another 20% had extreme depression. Conclusion: Our results have important implications for the treatment of patients with SCI. the findings indicate that the patients BDI score were negatively related with FIM scores. In our opinion these data justify the provision of a psychological service in every hospital where patients with SCI are treated. Further research is required to explore the reason behind this correlation.

A Study of Setback Effect on Multi-Storied Building with Mass and Stiffness Irregularity
Authors:- M. Tech. Scholar Nimant N Chopada, Asst. Prof. Arjun M Butala

Abstract- This research concerned with the compare to regular building with setback building with consider various irregularities on the seismic response of structure. Architects typically suggest irregular structures for the sake of the structure’s architectural elegance. As a result, seismic responses of buildings with unusual configurations must be determined. The structural configuration of a multi-story building affects its actions during a strong earthquake. One of the most common causes of failure during earthquakes is an irregular plan or elevation configuration. As a result, irregular structures, especially those in seismic zones, are a source of concern. Since, structures normally have a combination of irregularities, predicting the seismic response based on a single irregularity cannot be accurate. It is critical to choose the form, degree, and position of irregularities in the design of structures because this contributes to the structure’s usefulness and aesthetics. Therefore, the study the seismic behaviour of regular building with compare to setback building with different irregularities. we have considered 7th floor model consider with provide mass irregularity and stiffness irregularity. All frames are subjected to seismic loads and the response of the structures is analysis in ETABS software with different parameter e.g., displacement, storey drift, storey shear, storey stiffness.

Wireless Sensor Node Energy Optimization by Packet Routing and Clustering
Authors:- Dr. Shweta Singh, Jamvant Omkar

Abstract- Wireless network depends on life of battery as communication depends on calculation. Many of data collection activity depend on sensors continuous information collection. Hence energy optimization required for the long life of network. So nodes communications need some intelligence for sending data to the base station. This paper has developed a clustering approach for nodes energy optimization as genetic algorithm adopts dynamic situation without any guidance. Paper has developed invasive weed optimization algorithm which select cluster center from the available nodes and reduce energy losses. It was obtained that proposed model has utilized node node energy and position in fitness function for cluster center selection. Experiment was done on different number of nodes and network area size. Result shows that proposed model has increase the life span of WSN.

Performance Evaluation of Interference Cancellation methods in Cognitive Radio for Aeronautical Communication System
Authors:- Santhiya Lakshmi, Vineetha Mathai, Prof. Indumathi

Abstract-The Very High Frequency band (VHF) currently used for aeronautical communications is becoming congested, and hence L band is used for meeting the future capacity requirements in aeronautical communications which will require much greater use of data communications. Due to air traffic, cognitive radio based air to ground communication is introduced which provides dynamic spectrum access to airplanes to overcome the spectrum scarcity problem and in that spectrum sensing is done to find vacant place for effective communication. In the spectrum sensing, the DME and LDACS is the primary and secondary system. When the secondary system access the primary’s vacant place, the DME interference exist in the LDACS signal. This affects the effective communication from air to ground. Thus we propose three new approaches to mitigate the interference, one of which is a space time block coding method and the another two types are Pulse blanking algorithm and Decision directed noise estimation. In this work, we analyse and remove the interference in LDACS signal and compare the performance of these interference reducing algorithms.

Border Security System for Intrusion Detection Using Robotic System, Thermal Imaging Camera, Computer Vision and Machine Learning
Authors:- Vastav Bharambe, Om Gaikwad, Mohan Kshirsagar

Abstract- Border Security is a very crucial issue for every country, nowadays handling terrorisom and security breach is the biggest challenge for every country, terrorists generally use multiple on and off terrain ways to breach the border lines. As per the BBC NEWS report every year 70+ intrusions happen in border areas, Also as per the report of The New Indian Express 111 terrorist infiltrates j&k border since 2019. These intrusions are very dangerous for the country in terms of GDP growth. The novelty of our research is we are developing a system which has capability of detection and identification for human presenase, with the same we are trying to achieve detection and recognition for weapons if the same person is carrying. This system can be used at multiple places such as Government Private Sectors, Research facilities, National and International Banks, Military Facilities. Some Secrete Private Factories. The Design aspect of this system we came up with a novel idea where we are using a Thermal Imaging Camera and a Normal CCTV camera, we are processing both the images at the same time towards finding the Presence of Human living beings. As per the study Times of India border line breach happens in the form of animals means Territories wear such costumes.

Fruit Counting For Automated Inventory Management System Using Neural Networks
Authors:- Athira Mahesh, Nagaraja Hebbar N, Preethika

Abstract- In agricultural sector the problem of identification and counting the number of fruits on trees plays an important role in crop estimation works. At present manual counting of fruits is carried out at many places. Manual counting has many drawbacks as it is time consuming and requires plenty of labors. The automated fruit counting approach can help crop management system by providing valuable information of forecasting yields or by planning harvesting schedule to attain more productivity. This work presents an automated and efficient fruit counting system using computer vision techniques and neural network object detection methods. Neural networks have the capability of recognizing complex patterns and they shows better accuracy when compared with other techniques.

College Feedback System
Authors:- Mr. Sourabh C Bal, Mr.Rushikesh S Kadam, Prof. Mr.Kartik Nikam, Mr. Muzamil M Shaikh

Abstract- Nowadays, Nowadays, instructive Institutions are paying expanding regard for the perspectives on Student’s on the inclusion in learning and educating through surveys or inputs. Online Feedback System is a web application which gives base to the schools/universities to lead understudy’s input on the web. The objective of the investigation was to foster an all-in-one input framework serving the two understudies and educators. The framework includes age and examination of educator’s criticism pages, synopsis, and a conveyance of input. The framework is created for the all-undergrads and staff individuals Also Students can offer input about their workforce individuals. The understudy needs to look over phenomenal, generally excellent, great, agreeable, poor. Then, at that point subsequent to endeavoring each question needs to present his input with the framework. This on the web input framework is the ideal spot to discover criticism assessed as per the prerequisites and it is the effective one to get criticism examination of understudies and staffs.

Plumbing Pool Website
Authors:- Dr. Deepica Dom Iac, Abhishek Bagwari, Anas Khan

Abstract- The main purpose of doing the project at plumbing pool Website for plumbers to get us aquaintedwith make a particular project look good.Customer has it becomesa concern for many around the market, , this project helps toprovide plumbers through our site a purpose of this project to show how the plumbing system works. The main purpose of this study is to improve the plumbing industry and convinent way to provide plumber, which can help customer to find plumber and all necessary information online plateform.

A Review on IOT Based Irrigation System by Using AES Algorithm
Authors:- Miss. Dipali Kaluse, Prof. Jayant Rohankar, Prof. Mukul Pande

Abstract- India is mainly an agriculture country. Agriculture is the most important occupation for the most of the Indian families. This system have sensors for soil moisture, temperature sensor and humidity sensor, rain sensor, day night sensor, microcontroller, Wi-Fi controller, motor, rechargeable battery, and AC adaptor. The microcontroller of the control unit is programmed with threshold values of the temperature and moisture content. This sensor senses the various parameters of soil moisture and gets automatically ON/OFF the motor according to these parameters. These sensed parameter and status of the motor will be shown on mobile phone, and laptop.

Automation in LPG Cylinder Monitoring System
Authors:- A.R.Telepatil, Tejal Bhosale, Rutuja Sutar, Dipti Vardhamane

Abstract- The image processing is used to detect, recognize and calculate the number of objects. The proposal of this system is to develop the electronic solution using the image processing technique to reduce human error and also human efforts. In this solution we are going to target problems relevant to LPG like leakage of LPG gas. For counting the number of cylinders in godown, camera will capture the image of cylinders from top side. Using image processing, the number of particular size circles (uppermost circle of cylinder) will detect and from the number of circles, we will get the number of cylinder count. The LPG gas may lead to explosion and suffocation also. Using gas sensor which detects the leakage of LPG and the message of alertness through Arduino will give on the LCD display as well as the buzzer will turn on.

A Micro Crack Detection & Condition Monitoring of Bearing Using DWT Method in Catia
Authors:- M. Tech. Scholar Ketan Patil, Asst. Prof. G. R. Kesheorey

Abstract- Nowadays, fault detection in induction motors has gained importance. Motor health monitoring is performed to diagnose their operating condition using vibration signals. These signals are processed using different signal processing methods to extract the characteristic parameters permitting localization of the fault. In this paper, we propose a diagnostic method based on Hilbert and Discrete Wavelet Transforms for the detection of bearing faults in asynchronous machines. The discrete wavelet transform (DWT) is intended to provide the detail coefficients while the Hilbert transform (HT) is used to obtain the temporal envelope then the envelope spectrum of the detail. The kurtosis value indicates the optimum decomposition wavelet level containing the significant frequencies corresponding to faults for early detection. The result obtained by HT-DWT is more suitable for the analysis of emergency signals. This technique is effective for either stationary or non-stationary signals. Healthy case is compared to faulty case in order to extract frequencies characterizing different faults. The validation of this approach is evaluated by comparing theoretical with experimental results.

A Mutidisk Clutch Design & Performance Optimization Using Anova Method
Authors:-M. Tech. Scholar Shubham Verma, Asst. Prof. G. R. Kesheorey

Abstract-Multi plate clutch is one of the important part in the power transmission systems. Good design of clutch provides better engine performance. Multi plate clutch is most widely used in racing cars and heavy duty vehicle where high torque transmission required and limited space is available. In this project, we have designed a multi plate clutch by using empirical formulae. A model of multi plate clutch has been generated in CATIA V5 and then imported in workbench for Structural Applications. We have conducted structural analysis by varying the friction surfaces material and keeping base material as Steel. By observing the results, comparison is done for materials to validate.

Temperature Monitoring System Using Bolt IOT
Authors:- Ms. Megha Yadav, Ms. Neha Bargale, Ms. RutujaKadole, Ms. Aasiya Chaus, Asst. Prof. Mrs. Seema.G. Bavachkar

Abstract- Temperature assumes a major half during this day and age, even temporary amendment in temperature at enterprises could cause blasts that prompts debacles and loss of valuable existence of individuals. To defend people from these calamities we’ve planned this enterprise that alarms people by causing messages, messages and tweets once temperature passes boundary esteem or if any irregularity is known. Through these tweets the individual will inform the specialists concerning the temperature passing boundary esteem, then, at that time there is a probability of taking preventive measures to forestall catastrophes at completely different enterprises like drug organizations, and then forth In drug organization’s certain temperature ought to be preserved, forward temperature surpasses, the medication created around then cannot bear item utilized for medication since they may be unsafe whenever utilized for prescription as temperature wasn’t steady, transfer concerning an unbelievable misfortune for the company. Our item can likewise be helpful to minimize these sorts of misfortunes.

Optimization of the WSN Network Based on the EAMMH and OLIN Algorithm
Authors:- Atul Asija, Asst. Prof. Aashish Kumar Sharma

Abstract- Wireless Sensor Network (WSN) is a network type that consists of several sensor nodes used for particular functions in a specific area. These nodes forward the data to their nearest base station (BS). For the transmission of data, nodes with restricted energy can be used. A big challenge in WSN is the high quantity of energy needed for the little volume of data. Monitored processes that provide time-stamped data may alter significantly over time in real-world sensor networks. The OLIN (online information network), an online data mining approach, automatically accommodates the drift rate of the idea in a non-stationary data stream by continually generating a classification model from each sliding training example window. This paper presents a new IOLIN (incremental online information network) data mining algorithm in real-time, which saves a substantial amount of calculation effort by updating an existing model as long as no major idea drift is observed. The suggested technique relies on the overlooked “Information Network” (IN) decision-tree classification model and provides three different sorts of model updates. No statistically significant distinction between precision of the incremental algorithm (IOLIN) vs. renewable algorithm (OLIN) was discovered in studies with multi- year streams of traffic sensor data.

Arduino Based Solar Tracker
Authors:- Asst. Prof. Rupalee S. Ambekar, Shubham Saket

Abstract- A solar photovoltaic (SPV) cells based dual axis tracking system on Arduino Uno platform is implemented in this project for achieving maximum power during a day. The key idea of this article is implementing an automatic dual axis solar tracking system. Alignment of solar panel with the Sunlight for getting maximum solar radiation is experimented. This system tracks the maximum intensity of light in terms of maximum power point (MPP). When the light intensity decreases, its alignment changed automatically for catching maximum light intensity. This project shows implementation and analysis of dual axis solar tracker.

A Review Article In Distribution System Minimum Loss Reconfiguration Using Ant Colony Optimization Algorithm
Authors:- PG Schoar Mrs. Prabha Uikey, Prof. Dr. Anil Kori (HOD)

Abstract-This paper presents a comparative study of three Ant Colony Optimization (ACO) algorithms applied to Distribution Network Reconfiguration Problem. The original ACO algorithm called the Ant System (AS) and two of its variants viz. MAX-MIN Ant System (MMAS) and Ant Colony System (ACS) were used to minimize active power loss in distribution systems. The algorithms were coded in MATLAB and numerical experiments were conducted on two benchmark systems. The results indicate that even though all the three algorithms are capable of solving distribution network reconfiguration problem, ACS is found to perform better for larger systems.

Automation And Monitoring of Greenhouse
Authors:- Asst. Prof. Seema G.Bavachkar, Rutuja Upadhye, Mauyri Shinde, Sukanya Swami

Abstract-In traditional agriculture, farmers must regularly visit their farmland to measure various environmental parameters such as temperature, humidity, light intensity and soil moisture in order to grow the right crops on the right soil at the right time.Greenhouse cultivation, on the other hand, is a system in which a farmer grows crops in an ecological environment where all ecological parameters are adjusted according to the plant species. Greenhouse automation is a way for farmers to automatically monitor and control the greenhouse environment anytime, anywhere. In this article, the authors propose an automated greenhouse monitoring and control system that includes various sensors such as temperature sensors, moisture sensors, light sensors, and soil moisture sensors for harvesting.

Electron Orbit’s Shape for Hydrogen and Helium Atoms
Authors:- Refah Saad Alkhaldi

Abstract- This paper is a continuous work of some facts about the electrons in the first orbit of H and He atoms. Position of electron according to angle around the nucleus, the shapes of the first orbit, as well as the electron intensity from De Broglie equation are all illustrated.

A Review on Three Wheeler Electric Vehicle
Authors:- Pramod K N, Prashant D H, Akash Shetty, Karthik K, Abhishek B

Abstract- Electric vehicles are believed to be an effective solution for reducing greenhouse gas emissions. Despite extensive study on the attributes and characteristics of electric vehicles and their charging infrastructure design, the development and network modelling of electric vehicles are still evolving and limited. This article provides a comprehensive review of electric vehicle studies and identifies existing research gaps in the aspects of theories, modelling approaches, solution algorithms and applications.

Self-Driving Car: Autonomous Driving Using Lane Detection
Authors:- Mr. Mohd.Aafeen H Shaikh, Mr. Shivdatta D Bapat, Mr. Saifali S Rangrej, Prof. Mrs. S G Bavachkar

Abstract- Self-ruling Cars are the eventual fate of driving extravagance, a fantasy about sitting in a vehicle and giving your objective as an information and it takes you to your ideal spot. To make this little glimpse of heaven engineer and automakers from one side of the planet to the other have only one objective of their life, that is a completely settled Autonomous vehicle. Albeit this is as yet a fantasy however we have been very near accomplishing the last objective. This accompanies difficulties, challenges that come helpful while making something fantastic, and the Autonomous vehicle is no not exactly an outlandish game. It requires soaking up new innovations with the auto, make it work splendidly together, in light of the fact that wellbeing of the traveler will depend on oneself driving vehicle. Throughout the decade the Auto business has progressed fundamentally towards a future without a human driver. Specialists are right now attempting to beat the mechanical, political and social difficulties associated with making self-ruling vehicles standard. These vehicles should be protected, dependable and cost-proficient. Interfacing them and making coordination components could help accomplishing these objectives. This undertaking proposes a vehicle-to- everything (V2X) coordination convention for independent vehicles (AVCP: Autonomous Vehicle Coordination Protocol) and a testing climate where it will be assessed. The AVCP plans to fundamentally lessen travel time and increment security for self-governing vehicles by empowering them to trade detecting and directing data with one another and with side of the road units (RSUs).

Investigations on Various Concrete Properties by Replacement of Fine Aggregate with Stone (Quarry) Dust
Authors:- Y.Anand Babu, Asst. Prof. Modi Musalaiah, Asst. Prof. B.Srikanth

Abstract- The global consumption of natural sand is very high, due to the extensive use of concrete. In general, the demand of natural sand is quite high in developing countries to satisfy the rapid infrastructural growth, in this situation developing country like India facing shortage in good quality natural sand. Particularly in India, natural sand deposits are being depleted and causing serious threat to environment as well as the society. Increasing extraction of natural sand from river beds causing many problems, loosing water retaining sand strata, deepening of the river courses and causing bank slides, loss of vegetation on the bank of rivers, exposing the intake well of water supply schemes, disturbs the aquatic life as well as affecting agriculture due to lowering the underground water table etc are few examples. The study employed case study design of generation and utilization of quarry dust at chimakurthy quarry. The quarry dust was tested experimentally for technical viability in the production of quarry dust building blocks; an impact assessment was conducted and finally a cost benefit analysis was carried out to determine the commercial viability as well as social cost benefit of utilizing the quarry dust as a raw material in the manufacture of building blocks. All the experimental data shows that the addition of the industrial wastes improves the physical and mechanical properties. Here we will conclude that the strength should be increased at 25% of stone dust. So by this we will say that from 25% on wards we have to use stone dust. But it should not exceed to 50%.

Cad Modelling and Analysis of Axle Shaft of Rice Planting Machine
Authors:- Prof. A.V.Desai, Digambar S. Powar, Mr. Omkar B. Yadav, Rahul T. Patil, Rupesh R. Shinde, Swarup A. Kamble

Abstract- A rice transplanter is a specialized machine fitted with a transplanter mechanism (usually having some form of reciprocating motion) driven by the power from the live axle, in order to the transplant rice seedlings onto paddy field. Rice is a major food grain crop of world. Unlike upland row crops, cultivation of low land rice crop is a labour intensive process. In spite of the common belief of availability of surplus agricultural labour in India, there actually exists a scarcity of skilled agricultural workers during the peak transplanting seasons. If this operation is not done in time the yield goes down. In view of this, there is an urgent need to mechanize this operation. The rice translation process is generally manual which involves number of labour. The process of manual rice transplantation is not so efficient as compared to the mechanical rice transplantation. Machine transplanting using rice transplanter requires considerably less time and labour than manual transplanting. It increases the approximate area that a person can plant.

A Comparative Review of CPU Scheduling Algorithms
Authors:- Muskaan Pirani, Denish Ranpariya, Mihir Vaishnav

Abstract-Multiple programmes can run in memory at the same time, allowing for CPU and I/O overlap. The problem of selecting a process from the ready queue to be performed by the CPU is addressed by CPU scheduling. Because of the need to adjust and evaluate the operating system as well as assess the performance of actual applications, developing a CPU scheduling algorithm and understanding its effect is challenging and time consuming. Since the processor is such a valuable resource, CPU scheduling is critical for achieving the operating system (OS) design goals. The aim of CPU scheduling is to reduce average turnaround time and average waiting time so that as many processes as possible can run at any given time, maximising CPU utilisation. This paper aims to compile a list of the most common CPU scheduling algorithms that have been proposed so far. FCFS, SJF, SRTF, Round Robin, Priority scheduling, HRRN, and LJF are some of the algorithms we look at.