bluuebunny/crossref_metadata_2025 huggingface dataset:
A Zero Trust Framework Security to Prevent Data Breaches and Mitigate the Cloud Network Attacks
Authors: P Divya , A Sherin Sithara.
Published: June 2022

Abstract: Due to new modes of communication, we have seen a surge in the use of wireless networks in recent years. Online safety has become a contentious issue in the community. People want to be able to access all of your applications and resources at any time and from any location. As the use of cloud computing and the Internet of Things grows, so does the number of linked devices, increasing the number of cyber crime targets. A simple shift in mindset can help secure data and the network as a whole. This article defines a Zero Trust Network and illustrates some of the concepts that underpin this architecture/philosophy. Everything inside or outside the network is not reliable unless it is confirmed, according to the Zero Trust design. Zero Trust is a sophisticated security approach in which all users, both inside and outside an organization's network, must be authorized, authenticated, and validated of their security posture and configuration on a continuous basis before being granted access to the network, data, and applications. To validate a user's identity while ensuring tight security, this strategy employs high-end security technologies such as multi-factor authentication, next-gen endpoint security, and identity & access management. Keywords: Cyber security, Zero Trust Network,logical components, security solutions, Google Beyond Corp.
Fibre Mesh in Reinforced Slabs
Authors: Jagtap Siddhant Millind , Rathod Shailesh Kalidas , Jadhav Rohit Umesh , Patil Prathamesh Nitin , Patil Atharva Shashikant , Kadam Ashwini M , Chavan P. G.
Published: June 2022

Abstract: Fiber Reinforced Concrete is gaining attention as an effective way to improve the performance of concrete. Fibers are currently being specified in tunneling, bridge decks, pavements, loading docks, thin unbonded overlays, concrete pads, and concretes slabs. These applications of fiber reinforced concrete are becoming increasingly popular and are exhibiting excellent performance The usefulness of fiber reinforced concrete in various civil engineering applications is indisputable. Fiber reinforced concrete has so far been successfully used in slabs on grade, architectural panels, precast products, offshore structures, structures in seismic regions, thin and thick repairs, crash barriers, footings, hydraulic structures and many other applications. This study presents understanding srength of fibre reinforced conceret. Mechanical properties and durability of fiber reinforced concrete.
Resume Screening using NLP
Authors: Aggarwal Astitva , Jain Samyak , Jha Shalini , Singh Ved Prakash
Published: June 2022

Abstract: Presently, we have seen the technology reaching new heights than ever ahead. But each association has a different way of working but for this they need people who have a specific skill set. Selection of the candidate is done on the base of seeing the skill set mentioned in the person's capsule who is applying at the organization. Generally, resumes are sorted manually but, going through the resumes of these people manually is extremely time- consuming and lower effective as there are chances of human intervention error. Hence, we have proposed a design which will sort all the resumes according to the demand of the company and reduce the working time for further recruitment process. In this design we are going to use the technology of Artificial Intelligence and Natural Language Processing. We are going to train the model for recognizing the words which actually define the skill set of the person and demanded by the association by rendering in Python language. The algorithm will work in such a way that when a resume is to be scanned it will search only for the words according to the demand by the company and sort it accordingly. The required resume is shortlisted and the rest are auto rejected by the model. This will give high effectiveness compared to the manual sorting and give produce good results. This will lots of time and work of recruiters. Keywords: Information Retrieval, Natural Language Processing, Resume Parser, Resume Analyzer, Resume Summarisation, cv sorting, e-recruitment, Content-based Recommendation
A Floor Cleaner with Sweeping and Mopping which Operates Autonomously
Authors: Choudhari Pranay S. , Pardhi Sahil S. , Borkar Shantanu D. , Patil Saurabh A. , Bomle Ritik R. , Mene Rohit G. , Dhenge Kirti M.
Published: June 2022

Abstract: When complex activities are automated to simplify employment in today's environment, the benefits of automation can be leveraged to accomplish simple domestic duties. Cleaning is one such duty that, despite its negative connotation due to the nature of the job, is vital. Cleanliness promotes a healthy way of life. Cleanliness, on the other hand, has been ignored in today's fast-paced environment. To address this issue, this study proposes a floor cleaner that is controlled wirelessly using an Arduino Nano microprocessor and a Bluetooth module. The cleaner robot can be self-contained or operated manually by an Android device. The SWEEPING and MOPPING features are used to achieve all-around cleaning. Keywords: Arduino nano; Floor Cleaner; Bluetooth; Android; Mopping; Sweeping
A Survey on Technological Advances in Agriculture
Authors: Jagtap Vishwesh , Bugtani Siddarth , Hiranandani Yashvi , Rajpal Kabir , Saindane Pallavi
Published: June 2022

Abstract: Since over 12000 years agriculture has been a backbone of our country. In the start it was mainly man-power and the farmers had to face not much problems. But this road hasn’t always been smooth. The problems have not only been increasing in intensity but also finding a solution for it hasn’t been easy. Depletion of resources, rapid population growth, birth of new diseases, changes in climate, and other factors contribute to food shortages from time to time, impoverishing the poor Indian farmers. In this 21st century, ICT has revolutionized every aspect of life, including agriculture, which gave rise to E-farming. It was started with the aim to provide food security, but over the years it has taken a great turn. In the coming years, agriculture will use advanced technologies like robots, temperature and humidity sensors, aerial photography, and GPS. These equipment will allow farming to be more profitable, more efficient, safe, as well as environmentally friendly. So with the help of this paper, we intend to study all the technological advancements in agriculture over the years. Keywords: E-farming, Technology , ICT , Agriculture, Weather Forecast
Website for Fully Customised Pizza Ordering System
Authors: Ali Asif , Singh Yuvraj , Malik Robin , Yadav Aakash , Verma Indradeep
Published: June 2022

The online Pizza delivery system is the need of hour because of the recent changes and the adding use of the internet. BIG SLICE is a website designed primarily for use in the customised Pizza delivery. Through these services caffs can vend and distribute their coffers at minimum resource operation effectively with high gains by gaining the client trust. This Online Pizza order system database will be helpful for the business possessors to extend their business just by placing the orders online and not visiting the restaurant. To create this application, the database is the most important component, which will interface with the application to retrieve information. The Online Pizza Ordering Database will be built using PHP as the basis. Customers can place orders from a variety of pizzas in the database, and restaurant employees will process and deliver the specified order.
E-Help for Needy People
Authors: Garg Vishal , Kumar Vivek , Singh Yuvraj
Published: June 2022

Our paper deals with the making of a website that comes out to be critical for the well being, during this time of pandemic. In these times during covid lockdown there was very devastating effect on the people’s health and during that time people needed healthcare on urgent basis and because of the lack of resources and surplus number of covid patients there was very chaotic situation around. Our website provide a solution to this situation by making a portal online that tells people where about of all beds, oxygen cylinders and medicines. Our website also tells about people affected by it and areas that are containment zones. It has a division where we can provide rations and clothes to needy people. Our website has a way of doing it in such a way that facilities availability is there and so that in thus critical time our website can serves people in a better way.
Effects of COVID19 on the Sustainable Development of Agriculture
Authors: Soni Vatsal
Published: June 2022

Abstract: Farming is that the muse of any economy. It' the essential space that creates work thus the complete hover of financial course goes on. At the aim once we tend to mention the Indian economy, most of the world is confined to this area. In bound countries, COVID19 has nonexistent whereas in some it' returning. merely a restricted capability to focus the pandemic can leave a never-ending impact on the farming area. this COVID19 international pandemic has amplified the pressure on the agriculture sector, inciting the requirement for property agriculture quite ever. Thus, throughout this review, a sustainable perspective of the utilization of remotely piloted craft (RPA) or drone technology among the agriculture sector. good farming, exactitude agriculture or smart-agriculture may even be a recent agricultural technique that has been wide practiced in developed countries to satisfy the challenges of fast demand for food. the most applications of drone in agriculture are irrigation, crop monitoring, soil and field analysis and bird control.
Intelligent Customers Checking Device
Authors: Patil Punam Kailas , Salian Nishit Somnath , Rajole Akash Bhaourao , Kanade Payal Shriram
Published: June 2022

Abstract: The design pictured shows the fortification which will be taken throughout the COVID-19 pandemic within the whole world. Sanitizers became the foremost vital commodities right away. By the new rules and regulations given by WHO vigorous sanitization is needed to curb the wide spreading of this disease. The design gave the answer for the problem expressed. The design introduces an automatic hand sanitizer dispensing along with temperature and Oxygen level sensing system, to keep the hand sanitized whenever a person wants to do it, without a contact with the sanitizing machine. The oximeter on touching gives the oxygen percent in the body of the person.
Waste and Vehicle Detection Using YOLO
Authors: M Rajendra , Y A Rajesh , S Rahul Balaji , R Puneeth Kumar , N Shashikala
Published: June 2022

Abstract: Automatic detection and classification of objects is an important functionality of image analysis. Due to the nature and size of objects and the varied visual features, it becomes challenging to detect and classify objects in aerial images. Manual detection of objects in these images is very time consuming due to the nature and that data captured in these images. It is desirable to automate the detection of various features or objects from these images. The conventional methods for object classification involve two stages: (i) Identify the regions with object presence in the image and (ii) Classify the objects in the regions. Additionally, detection of objects becomes challenging in presence of complexities in background, size, noise, and distance parameters. This work proposes a customized YOLO to detect and classify different objects such as garbage waste, plastic waste and vehicles in the images.
Comparative Study of Balance Cantilever Bridge and Extradosed Bridge
Authors: Rajeshirke Shriket P. , Suryawanshi Prof. Yogesh R. , Khadake Prof. Dr. Navnath V.
Published: June 2022

Abstract: Now a days, in India Balance Cantilever bridges are widely used in hilly region were supporting from the bottom is difficult. The name Balance Cantilever Bridge is arrived due to the application of construction methodology which balances out the cantilever portion. It is one of the most effective methods of building bridges without the need of false work. Balanced cantilever bridges are used for special requirements like construction over traffic, short lead time compared to steel and use local labour and materials. Extradosed bridge is a unique idea bridge between Girder Bridge and cable-stayed bridge. A balanced cantilever bridge with construction stage analysis consideration a model is prepared in the Midas Civil software and analysed, we can see how it considers construction stage analysis with creep & shrinkage effect. The construction stage analysis in the Midas Civil considers shrinkage and creep during construction stages to simulate the construction process of a incremental stage. As most of the literature covers either balance cantilever bridge or extradosed bridge, this paper introduces and attempt to summaries comparative study of balance cantilever and extra dose bridge with its span arrangement, span by depth ratio, prestressing steel etc. Keywords: Construction stage, balance cantilever , extradosed, prestress
Comparative Study of Wide Deck Box Girder Bridge Superstructures
Authors: Mone Bhargav , Mote Prof. P. S. , Khadake Prof. Dr. Navnath V.
Published: June 2022

Abstract: Box Girder superstructures are most popular type amongst all other type bridge superstructures and are extensively used. Nowadays to provide better riding quality and in order to reduce number of substructures and foundations for more clear space underneath, long span continuous or integral type bridge superstructures are preferred. For longer span bridges to reduce dead load and to utilize material to its capacity cellular sections are the most efficient sections in this regard. Box girder is one of the cellular sections. In metropolitan cities one of the restrictions is the availability of land to widen the existing roads. Present trend is to use wide deck bridge superstructure to utilize surface level and elevated level space more efficiently. Bridge aesthetics are also important as bridges are located in metro cities, tourist’s places. In wide deck bridges, ribbed cantilever slab or cantilever with supporting struts are used to impart transverse stiffness while further reducing dead load of the superstructure deck. Three different types of box girder superstructures are studied to inspect their behaviour in longitudinal and in transverse direction. Analysis of three different types of box girder superstructures has been carried out using software CSI SAP2000 and analysis results are presented and compared. In this parametric study various parameters of mechanical behaviour such as deflection, shear lag, effects, bending stresses in transverse direction are compared. Keywords: Box girder, Cellular sections, mechanical behaviour, shear lag, Bridge aesthetics
Crowdfunding using Ethereum Blockchain
Authors: Gupta Ritvik , Yadav Mayank , Dhankar Usha
Published: June 2022

Abstract: The rise of Blockchain technology enables us to create secure, trusted and decentralized apps. Crowdfunding is an online money raising strategy that uses small amounts of capital from a large number of individuals which finance a new business project. Crowdfunding makes use of the easy accessibility of vast networks of people through social media and crowdfunding websites to bring investors and entrepreneurs together. The main problem with the current websites is that they don’t provide the Contributor Assured Policy and they don’t have control over the money they donated. So, by using blockchain we can provide a safe, secure and transparent way for crowdfunding. In this work, we have provided interactive forms for campaign creation, contribution and request approval through which both campaign creators and contributors can easily create and pool the campaigns. Keywords: Blockchain, Ethereum, Smart Contracts, Crowdfunding.
Analysis of Text Data For Stock Prediction
Authors: G Rohith Urs , D Nithin , Devali Akul G , Vastrad Rakshit
Published: June 2022

Abstract: Accounting for price fluctuations and understanding people's emotions can help to improve stock price forecasting. Only a few models can decipher financial jargon and have stock price change datasets that have been labelled. In this project, we used text mining techniques to extract high-quality data from news and tweets published by legitimate businesses on the internet, allowing us to analyse, decide, and update our database for future use. In this paper, we propose an information gathering and processing framework that combines a natural language processing tool with our algorithms. We use natural language processing and machine learning techniques to make predictions. The result demonstrates the algorithm's ability to foresee favorable outcomes.
Design and Fabrication of Motorized Hacksaw Machine
Authors: Kohale Utkarsh , Adhao Saurabh , Thakare Darshan , Panchawate Atharv , Dalvi Sanket , Akarte Parag
Published: June 2022

Abstract: As we know that in large manufacturing industries, the cutting operation is very required for raw material, for this purpose they use manually operated conventional hacksaw machine for cutting operation. In that type of machine single piece can cut at a time by using an electric motor . Also,one labour utilizes for same. This project is on the design and construction of an electric supply hacksaw machine for cutting of metal to different size and length with the help of hacksaw. The objective of this project is to save man power and time in cutting metals in order to achieve high productivity. It is a cutting machine with teeth on its blade used specially for cutting metals. The power to hacksaw is provided by the motor. Here, the step down transformer is used for converting the 220-230V AC power to 12V DC power to run the machine smoothly , then the current is supplied to the motor then with the help of single slider crank mechanism. These machines can be used in remote places where electricity is regular. It is designed as a portable one which can be used for cutting in various places . It can be used for cutting in various places. It can be used for operating on materials like thin metals ,woods etc.
IoT based Landslide Detection and Monitoring System
Authors: Jawalkar Mrunal , Malviya Nikita , Hage Prerna , Chakule Shraddha , Pattewar Pranav
Published: June 2022

Abstract: According to recent survey 64.15% of fatalities are due to natural calamities which includes landslide as the major problem. Studies show that due time consuming and unreliable prediction system there is increase in rate of fatalities due to landslide. Only way to reduce these severe effects is predicting landslide efficiently and accurately without consuming much time. Most of the papers surveyed use sensor technology, and the most commonly used one is WSN (Wireless Sensor Network) since this sensor network provides large scale monitoring. If the chance of occurrence of landslide is high after the prediction an alert is sent to the disaster management department. Each of these methods have different percentage of accuracy. This survey paper discusses various approaches for detecting and predicting landslide thereby reducing fatalities. Keywords: Gyro sensor, Soil sensor, NodeMCU, Aurdino IDE, Blynk.
An interactive GST+ERP System for handling small scale Indian Businesses
Authors: Patil Harshvardhan R , Madhekar Nikhil S , Kotgire Sourabh R , Shelke Priyanka N , Raskar Ishwari
Published: June 2022

Abstract: An ERP solution, often known as an Enterprise Resource Planning System, has become among of the highly productive and helpful installations. ERPs are incredibly competent of offering a strong organizational structure and simplifying the complete firm with simplicity. ERPs have been increasingly popular in last several decades due to the significant cost savings and excellent administration of an organization's overall business operations. ERP administration is an incredibly expensive operation due to the thorough and comprehensive integration, which is why much of it has been focused on major organizations. This is also why almost all of these new ideas have been out of reach for small to medium sized firms. Several other researchers were also barred from accessing these technologies and applying numerous modifications due to the expensive cost. As a result, an effective method to building a comprehensive approach to an ERP for the involved in administering small to medium enterprises is required. This research article provides an effective approach that enables the manager and the staff to access this software to make purchases, handle client and employee data, view performance charts etc. in much detail in the upcoming sections. Keywords: GST verification, Pan Number Verification, Database connectivity, purchase Entries, Sales Entries.
A Study on the Role of Artificial Intelligence in E-Recruitment in IT Industries Chennai
Authors: Ilavarasi F. Ashwith , J Dr. Rani.
Published: June 2022

Abstract: In the competitive world Diligence, collet the accurate data and anatomized the collected data for the use of companies growth and daily working is essential. Artificial Intelligence helps the assiduity to work in briskly way and effective way to complete the work. Artificial Intelligence is entering into colourful department like mortal resource department, finance department, marketing and product department. With using AI system Association can suitable to inform the being performance and day-to-day functions. In business pressure has been adding, tough directors understood the significance of artificial intelligence at plant. The exploration paper is descriptive in nature. The experimenter was used secondary data where the data was collected from exploration papers, publications, websites, HR blogs, check reports etc. The core Ideal of the study was examine the part of artificial intelligence in mortal resource department and understand the challenges in HR department. The exploration study has concluded that a part of AI is larger into colourful functions carried out in mortal resource department where by robotics companies can handle reclamation, hiring, as saying the data, colleting the data, reducing workload at plant and enriching Plant effectiveness. Keyword: Artificial Intelligence, Machine languages, mortal resource operation
Experimental Evaluation of Nanofluid for Improved Cooling Efficiency in an AL Mini Channel Heat Sink
Authors: Gunale Rahul B. , Gajare Ashish S. , Khollam Omkar D. , Gawade Aakash G. , Salvi Sanchit S.
Published: June 2022

Abstract: Efficient heat transfer has become major need these days. In this thesis, both experimental and CFD investigations have to be carried out to evaluate the cooling performance of a mini-channel consisting of fins on upper surface of flat plate. Nano fluids contain a small fraction of solid nano particles in base fluids flowing through groves in bottom plate attached with heater at base. Nano fluids cools small channel heat sinks, have been anticipated to be an excellent heat dissipation method for the next generation electronic devices. Computational Fluid Dynamics (CFD) simulations is to be carried out to study the heat sinks heat transfer mechanism. The sectional geometry of channels affects the flow and heat transfer characteristics of mini channel heat sinks. The heat transfer principle states that maximum heat transfer is achieved in mini channels with minimum pressure drop across it. In this research work the experimental and numerical investigation for the improved heat transfer characteristics of mini channel heat sink using Al2O3/water nano with (1 and 2 % volume fraction) fluid is to be done. The fluid flow characteristics are also analysed for the serpentine shaped mini channel. Heating element of 130 W capacities is to be used to heat up the heating element of base plate. Keywords: Heat, Fluids, Heating, Nano, Fraction, Flow, Sink, Channel, Plate, Aluminum.
Neutron Scattering in Nanotubes
Authors: Dabas Dr. Seema
Published: June 2022

Abstract: Neutron scattering has got numerous applications in various fields of research like material research, crystallography etc. Thermal neutron scattering in randomly un-aligned multi walled carbon nanotubes is based on its anisotropic frequency distribution function. This frequency distribution function is obtained using a dynamical model which includes the presence of both the surface modes and intertube coupling. Experimentally measured values of specific heat for randomly un-aligned multi walled carbon nanotubes has been studied to detect the phonon frequency distribution function. Elastic scattering is used for analyzing structures. Inelastic scattering is applied for the study of atomic vibrations. The dynamical model has been used to find the scattering values. Both scattering values are calculated and compared. It was concluded that the difference in their values is large. This difference would affect the transport processes in randomly un-aligned multi walled carbon nanotubes Keywords: Specific heat, Elastic scattering, Inelastic scattering, Neutron Diffraction, Frequency Distribution Function
Association Rule Mining using FP-Growth and An Innovative Artificial Neural Network Techniques
Authors: Gond Pankaj Kumar , Shukla Aditya , Sahani Satish , Gond Neha , Kumar Dr. Harvendra
Published: June 2022

Abstract: With the prodigious proliferation of ginormous-scale data depots, a need for incorporating the empirical techniques of Data Mining (DM) with the effectiveness of commensurate systems to intuitively manage cosmic volumes of data has now risen. To quell these obstructions of managing data efficiently, in this document we present a new algorithm based on ANN for DM activities, which overcomes the problems in the current available algorithms of mining apropos of their execution time and interestingness and to prove its efficiency the new algorithm will be compared to a popular mining algorithm: FP Growth. The following sections of the paper are sorted as – section I exhibits the introduction, section II exhibits the previously done related works, section III is exemplifies of the methodologies, section IV exhibits the experimental setup of the analogous work, section V inculcates the experimental result and finally section VI depicts the conclusion of the respective work. Keyword: Data Mining, Association Rule Mining, FP Growth algorithm, Artificial Neural Networks.
Sensor Based Wheelchair by Speech Recognition
Authors: Singh Raj , Gupta Sanjeev , . Jeetesh , Singh Sahil , Yadav Abhishek
Published: June 2022

Abstract: According to research there are about 6 million populations in the world who are paralyzed and needs a wheelchair for their mobility. Earlier the wheelchairs had to be moved and be externally supported by any person. To help overcome this “joystick-controlled wheelchairs” are developed. But in regular use, these joystick-controlled wheelchairs became difficult to use. Especially in the case of paralyzed people, the use of joystick became more difficult due to the hard buttons and unidirectional use of the joysticks. To overcome these problems, we’ve tried to develop a “gesture-controlled wheelchair” which can be moved with a slight tilt of the hand. This can be used in both hands and can be controlled to come to the user from a distance. The current work is implemented with Arduino based devices such as Arduino UNO processors and programmed through Arduino IDE. Keywords: Sensor wheelchair, Arduino NANO, L293D, PCB, Bluetooth Module, Arduino IDE
Case Study on National Highway Construction Using Bot
Authors: Salunke Prof. K. A. , Pulate S. S. , Shinde S. V. , Waghchaure A. V. , Shankhpal Y. S.
Published: June 2022

Abstract: The public-private partnership (PPP) models that have been used in procuring the National Highways projects include Build- Operate-Transfer (BOT) (Toll) and BOT (Annuity) models.... This paper focuses on the various approaches that have been used for financing of PPP road projects in India. To assess the risks involved in BOT PROJECT by studying a specific case of Implementation of integrated road development program me (IRDP) in the city on built, operate & transport (BOT) basis. To Study the individualistic approach of the involved parties. BOT has been one of the recent innovations in project finance. The Build-Operate Transfer (BOT) scheme is a limited recourse financing technique. Many have adopted this approach as an alternative to traditional public financing for infrastructure development projects. This study examines the type of SOCIAL risk due to, force shutdown of toll booths due to public riots. This paper mainly representing the risk in BOT due to political & public pressure. A case study of IRDP project implemented in municipal corporation area through BOT is studied in details. Keywords: BOT, Public private partnership, lumpsum, concessionaire's
Cloud Functions and Serverless Computing
Authors: Kumar Vijay , Kaur Talwinder
Published: June 2022

Abstract: Cloud Function in the simplest words is a Function-as-a-Service (FaaS). FaaS is actually a family of the serverless computing category. “Serverless” means that the user can focus on its application logic without dealing with infrastructure at all. Painless development, deployment, and maintenance of a web API is still not a turn-key solution, although modern web application frameworkshave improved dramatically in the last few years. Serverless is without any doubt a game-changer. The event-driven approach combined with a scalable and robust cloud ecosystem offered by the maintop cloud vendors opens endless opportunities. Cloud Functions is Google Cloud’s event-driven serverless compute platform. FaaS is a real NoOpstechnology, it completely abstracts away servers. Cloud Functions are developed with the sole purpose to build event-driven architectures. These can react to events like file changes in storage, messages in the queue, or any HTTP request. Index Terms: Cloud Computing, Serverless Technology, Function as a Service, LambdaFunctions and Functions
WEBSCAF
Authors: Kumar Lovekesh , Bisht Sana , Pandey Prof. Bipin
Published: June 2022

Abstract: This is a project that mainly concerns web developers' areas of interest. While creating a project developers face the problem of scaffolding and especially doing it the right way is another major task that needs to be accomplished. It is a NodeJSbased project through which a fresh project structure can be created with the help of the Command Line Interface. Setting up a new project may require setting up various folders which might get hectic hence this project is a perfect solution as it performs scaffolding with the help of a few CLI commands. The idea of creating such a project hit the minds of our team while building other web projects during our bachelor's in technology. This project is an operating system independent product that can be used on any machine with any operating system like Windows, Linux, Mac, etc. The pre-requisite of this project is that Node.JS should be installed in the device on which the product has to be used. NodeJS is an open-source server environment that helps to run JavaScript on the server.
Computer Vision Based Virtual Sketch Using Detection
Authors: Dhaigude Santosh , Bansode Sumedh , Waghmare Shivam , Varkhad Saurabh , Suryawanshi Prof. Shubhangi
Published: June 2022

Abstract: In today's environment, and in the midst of a pandemic, online learning is the only way to learn. Students become more curious about knowledge as a result of online learning, and they choose their own learning route. Academics, on the other hand, must devote time to studying and be disciplined in their dedication in order to pass the course or exam. There are also other hurdles to Online learning. Students are losing their comprehending power since they have been accustomed to relying on their teachers and offline classes. In recent years, virtual writing and controlling systems have become demanding study areas in the fields of image processing and pattern recognition. It makes a significant contribution to progress Keyword: Detection, Handlandmark , Keypoints, Computer vision, OpenCV, Py
Synthesis And Characterization of Co Doped ZnO Thin Film by Sol-Gel Dip Coating Method
Authors: Raj Dr. S. Ashok , Abarna N. Ajay, M.
Published: June 2022

Abstract: ZnO have broad direct band gap and it can be applied for opto-electronics, photoluminescence, semiconductors and memory devices. When compared to pure ZnO thin films, Co doped ZnO thin films have higher electrical conductivity and enhanced magnetic properties. Sol-gel Technique employed to synthesize 0.1M of Co doped ZnO thin films on glass substrate by dip-coating process. The optical properties were determined using UV-VIS-NIR Spectrophotometer. Using GAUSSIAN the HOMO-LUMO value was estimated.The FTIR Spectrum certifies the functional group present. The X-ray diffractometer provides structural analysis of ZnO:Co thin films. The PL spectrum investigates the band gap in various regions. The Surface Morphology of coated thin films were characterized by SEM images. The thickness of the film was carried out using crosssectional view of SEM. Surface Roughness parameters determined through Surface Profilometer. The obtained results were analyzed and discussed in detail. Keywords: ZnO-Zinc Acetate Dihydrate, Co-Cobalt Chloride, SEM-Scanning Electron Microscope, PL-Photoluminescence, FTIR- Fourier Transform Infrared Spectroscopy.
TD score: Time Aware Domain Similarity based Link Prediction
Authors: Galphat Yugchhaya
Published: June 2022

Abstract: Online Social Network has gained immense traction of users in past decade. Link prediction across social networks has become a new exploration area for researchers, where existing links are investigated and new links are anticipated among billions of online customers. Majority of work in this area focusses on exploring the current status of a particular network at a specific time, without exploring the behavior of the network links as time goes by. Only a Small amount of work has been performed with the consideration of temporal aspect of network. As the interests and interactions of user change over time, the links among nodes become weaker or noisy which affects the prediction accuracy. This paper intend to explore a new integrated temporal method TD score which includes time stamp of interaction and domain similarity information for each pair of unconnected nodes to predict links. Experiment over co-authorship network reveals that link prediction covering time aware domain similarity is effective and efficient approach than traditional ones. Keywords: Co-authorship network; link prediction; node similarity; global feature; temporal feature; domain similarity.
Product Manager Hub
Authors: Mishra Shivanshu , Bhardwaj Vriddhi , Bhardwaj Prof. Manish
Published: June 2022

Abstract: The global industrial needs strongly urge for better product management and deliveries. This requires a robust structure and planning for better risk estimation, cost calculation and catering market demands. Harnessing this is significantly dependent on the challenge undertook by efficient and skilled product managers with improved team participation, promoting better change practices and ultimately achieving incremental growth. Previous researches conducted on Fortune 500s suggest that 50% of corporate programmers find it difficult to work in an agile software development model. This research document intends to provide structure and personalization to every aspiring and experienced Product Manager's learning journey. The existing product managers sometimes find it difficult to adapt to the market changes and demands. This leads to PMs wasting a lot of time in finding relevant material and organizing it to serve their needs. This document intends to utilize years of experience of seasoned PMs who can guide the aspirants in their quest by suggesting and curating tons of resources available online.
Weather Webapp Using Reactjs And Weather API
Authors: Sharma Joy , Khan Afzal , Kaif Nirban , Mishra Bhavesh , Vengulekar Mrs. Poonam
Published: June 2022

Abstract: Over the past year Weather app is extremely useful to check weather for user all across the world and it will only grow by time. Most popular Weather app are Google Weather , Yahoo Weather and so on as this Weather app are very user friendly so that user don’t get any difficult to use Weather app.
House Price Prediction Using Machine Learning
Authors: Sandhya Kumari , Siddiqui Sarwar
Published: June 2022

Abstract: Real estate is the least transparent industry in our ecosystem. Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. This paper outlines how to predict housing costs using various regression techniques using the Python library. The proposed method takes into account the sophisticated aspects used in the house price calculation and provides a more accurate forecast. This paper uses machine learning to explain how the house price model works and which datasets are used in the proposed model. Predictive models to determine the selling prices of homes in cities like Bangalore are maintained because of more than difficult and sophisticated tasks. The price of real estate for sale in cities like Bangalore depends on several factors involved. Keywords: Housing Price Prediction , linear regression, XGBoost,, Machine Learning, Lasso Regression, Ridge Regression, Random Forest Regression.
Study on Identified Blackspots and Rectification Measures: A Case study
Authors: Semwal Surbhi , Duggal Ajay. K. , Sharma Dr. Sanjay K.
Published: June 2022

Abstract: In this paper, the survey was conducted in the Sirmour district of Himachal Pradesh where National highway 72 (NEW NH-07) runs through the district and other state highways connecting the state to the rest of the country. However, due to the district's abrupt bends, cliffs, and narrow streets, it has experienced the large number of traffic accidents. As a result, the study of the accident blackspots on this stretch is crucial for road safety. The study area lies between Dhaulakuan to Kyarda having a length of 9 km in the plain area has already identified 4 blackspots by police authorities and P.W.D. Department. The essential accident data of 4 years was collected to analyse the selected stretch. This paper deals with the identification of such accident black spots using the method Weighted Severity Index. Keywords: Blackspots, WASI method, accidents, accident data, NH-72 (new NH-07)
Impact of Agile Methodologies in Project Success
Authors: Sharma Poorti
Published: June 2022

Abstract: The Agile Manisfesto of software development put forth a groundbreaking mindset on delivering value and collaborating with customers when it was created in 2001. Agile methodology that utilizes iterative development and prototyping are vitally used in variety of industry projects as a light weight development method which can satisfy to changes of requirements. Traditional waterfall approach is not much efficient to manage the rapid change in requirements. The purpose of this study is to present the impacts of agile methodology in project success. Most studies have reported that when comparing structured methodologies with agile methodologies, agile does improve software quality, other studies have contradicted and questioned the claimed benefits , while others argued that there is not enough empirical evidence. This study aims at investigating the impact that agile method on project success in an organization. The selected studies were published between 2018 to 2022. Index Terms: Agile methodology, agile practices, impact of agile, project success
Emotion and Gesture detection
Authors: Raman Swati , Patel Sanchita , Yadav Surbhi , Singh Dr Vanchna
Published: June 2022

Abstract: Machine learning algorithms have removed the constraints of computer vision. Researchers and developers have developed new approaches for detecting emotions making it possible to predict the behaviour and consecutive actions of human beings. As machine learning methods make use of GPUs' massive computation capability, these models' image processing skills are well suited to real-world issues. Computer vision has moved from a niche field to a variety of other fields, including behavioural sciences. These algorithms or models are utilised in a wide range of real-world applications, including security, driver safety, autonomous cars, human-computer interaction, and healthcare. Due to the emergence of graphics processing units, which are hardware devices capable of doing millions of computations in seconds or minutes, these models are constantly changing. Technologies like augmented reality and virtual reality are also on the rise. Robotic vision and interactive robotic communication are two of their most intriguing uses. Both verbal and visual modalities can be used to identify human emotions. Facial expressions are an excellent way to determine a person's emotional state. This work describes a real-time strategy for emotion and gesture detection. The fundamental idea is to use the MediaPipe framework which is based on real-time deep learning, to generate critical points. Furthermore, A series of precisely constructed mesh generators and angular encoding modules are used to encode the generated key points. Finally, by assessing failure instances of existing models, we are evaluating the applicability of emotion and gesture detection from our model.We are using models such as Random Forest(RF),logistic regression(LR),Gradient Classifier(GR) and Ridge classifier(RC). Real-time inference and good prediction quality are demonstrated by the suggested system and architecture. Keywords: Body Landmarks, MediaPipe, Prediction, Accuracy, Real-time on-device Tracking, Recognition.
Web based application for Automatic Timetable Generation
Authors: Kumar Utkarsh
Published: June 2022

Abstract: The manual means of getting ready time table in schools is exceptionally tedious and drawn- out task which typically winds up with different classes conflicting either at indistinguishable room or with same educators having more than each class in turn. Because of manualmethodology, legitimate utilization of assets is neither viable nor productive. To conquer this large number of issues we propose to make a mechanized framework with PC helped plan generator. The framework will take different sources of info like number of subjects, instructors, maximal talks an educator can direct, need of subject and points to be canvassedin a week or a talk, contingent on these information sources it will produce conceivable time tables for working days of the week, utilizing all assets such that will best suit the limitations.A suitable schedule is then looked over the ideal arrangements generated. Timetable creation is an extremely laborious and tedious assignment. To make plan it takes loads of persistence and worker hours. Time table is made for different purposes like to arrange addresses in school and universities, to make timing diagrams for train and transport plan and some more. To make schedule it requires loads of time and labor supply .In our paper we have attempted to diminish these hardships of producing plan by Heuristic Algorithm.
Remote Diagnosis Based on Symptoms
Authors: Verma Deepa , Kushwah Kirti , Jain Muskan , Jain Pooja , Pal Riya
Published: June 2022

Abstract: Machine Learning Approach for distinctive Complaint Vaticination victimisation Machine Literacy is grounded on vaticination modelling that predicts illness of the cases per the symptoms handed by the druggies as an input to the system. This paper provides a study of prognosticating multiple conditions victimisation Machine Learning algorithms. Then we're going to use the idea of supervised Machine Literacy during which perpetration are done by applying Decision Tree, Random Forest, Naïve Bayes and KNN algorithms which can grease in beforehand vaticination of conditions directly and advanced cases watch. The results assured that the system would be useful and stoner acquainted for cases for timely judgments of conditions in a case. Medicine and health care are a number of the foremost pivotal rudiments of the frugality and mortal life. There’s an inconceivable volume of change within the world we tend to live in presently and also the world that was numerous weeks back. Everything has turned horrible and divergent. During this state of affairs, wherever everything has turned virtual, the croakers and nursers are putting up most sweats to save lots of people's lives indeed though they need to Peril their own. There are still some remote townlets that warrant medical installations.Machines are ever considered better than humans as, with none mortal error, they will perform tasks more expeditiously and with an indeed position of delicacy. A complaint predictor is known as virtual croaker, which might prognosticate the sickness of any case with none mortal error. Also, in conditions like COVID-19 and EBOLA, a Complaint predictor is a blessing because it'll determine a human's sickness with none physical contact Keywords: Machine Literacy, Disease Prediction, Decision Tree, Random Forest, Naïve Bayes.
Comparative Study on Deflection of a Multistoried Building with Shear Wall and Core Wall
Authors: Bhat Akeel Firdos , Kumar Er. Vikas
Published: June 2022

Abstract: To ensure the seismic effectiveness of highrise buildings different systems of lateral restraints are provided e.g., bracings, shear walls, core walls etc. In the present study, deflection of various joints, storeys & also the drifts have been gone through. For this purpose, 3 different models of multi-storeyed buildings were prepared consisting of a G+6 building with shear wall at the centre of edges on exterior walls, G+6 building with a core wall & G+8 building with a core wall were prepared using an integrated building designing software known as ETABS- 2016 (student version). A 3-bay building was modelled using M30 concrete mix and reinforcing steel bars of HYSD 415 for beams, columns, slabs as well as shear walls. After this pier labels were assigned to the shear walls. A variety of load cases like joint loads, dead loads, live loads, wind load in x-direction for terrain category 4, earthquake loads in x & y directions for zone II along with their combinations were assigned. The respective diaphragms were assigned to the three models & analysis was carried out at the end. The table of results was obtained and the deflection analysis was carried out to compare the relative effectiveness of shear walls & core walls at different locations of the multi-storeyed building. The codes taken into consideration during the progress of work were IS 456:2000 for plain and reinforced concrete, IS 875:2015 (Part 1) for wind loads & IS 1893:2002 for earthquake loads. Keywords: Earthquakes, Shear wall, Core wall, Lateral deflection.
Review Paper on Arduino Based Fire Fighting Robot
Authors: Sheikh Anam , Purohit Gopal , Raut Vaishnavi. C. , Abdul Rehan Rashid , Kidile Prof. C. H.
Published: June 2022

Abstract: A fire outbreak is a hazardous act that leads to numerous consequences. Detecting a fire at an early stage and extinguishing it can aid in prevention of various accident. Till now we rely on human resource. This often leads to risking the life of that person . Therefore, fire security becomes an important aspect to save human lives. In this paper a fire extinguishing robot has been proposed and designed which detects the fire location and extinguish fire by using sprinkler on triggering the pump. This robot uses three flame sensors for accurate fire detection. This proposed model of Fire Extinguishing Robot using Arduino used to detect presence of fire and extinguishing it automatically without any human interference. It contains gear motors and motor driver to control the movement of robot when it detects any presence of fire and will automatically start the water pump to extinguish that fire breakout. This model robot has a water ejector which is capable of ejecting water at the fire breakout place. The water ejector pipe can be move towards the required direction using servo motor .The whole operation is controlled by an Arduino UNO micro controller. Keywords: Arduino UNO, Flame sensor, motor driver, water pump.