bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain Based E-Voting System
Authors: Sharma Abhishek , . Satyam , Sarva Ravi , Jha Rajan Kumar , Sugandhi Prof. Dr. Rekha , Sontakke Prof. Palash
Published: June 2022

Abstract: Voting is the fundamental right for every nation. An Electronic Voting (E-Voting) system is a voting system in which the election process is notated, saved, stored, and processed digitally, which makes the voting management task better than the traditional paper-based method. Blockchain is offering new opportunities to develop new types of digital services. While research on the topic is still emerging, it has mostly focused on the technical and legal issues instead of taking advantage of this novel concept and creating advanced digital services. Blockchain-enabled e voting (BEV) could reduce voter fraud and increase voter access. Eligible voters cast a ballot anonymously using a computer or smartphone. BEV uses an encrypted key and tamper-proof personal IDs. Electronic credibility services have become an integral part of the information space. With the reliable implementation of basic services as an electronic signature and electronic authentication, it is possible to build more complex systems that rely on them, particularly the electronic voting system. In this project, the concept of developing an electronic voting system using blockchain technology is implemented.
End to End Car Selling Portal By Loan Prediction Using Machine Learning
Authors: Ram P Sathya Sai , Kumar C Sravan , Pandey Mukund , Rakesh D , Naveen V , Kumar K Prem
Published: June 2022

Abstract: Cars have become an asset even though it’s a liability for common use because of the comforts it provides, users wouldn’t want to miss out on the different brands and luxuries it gives but jolting down the types , prices, and the finance part becomes hectic and a consumer usually buys it offline, but what if processes can be done faster digitally?. Buying online can significantly give many options for users/consumers .We are creating a solution by integrating a web application created using Express, React, Node.js, Google Firebase with Machine learning using the Random Forest Classifier after analysis of different models like KNN, SVC, Logistic Regression, Decision Tree Classifier, Extra Trees Classifier. Keywords: Web app, React, Node.js, Express, Firebase, Machine Learning, KNN, SVC, Logistic Regression, Decision Tree Classifier, Extra Trees Classifier, Random Forest Classifier
Reduction of PAPR and improved BER using SLM technique
Authors: Reddy D. Yamini , Hruthvik K. Hari , Reddy M. Harsha Vardhan , Pradeep Pendli
Published: June 2022

Abstract: With the introduction of 5G wireless technology, mankind has achieved a massive leap in data throughput of gigabits per second thanks to the combination of multiple input, multiple output, and orthogonal frequency division multiplexing technologies. Multiple (OFDM MIMO) can be achieved via frequency selective fading. PAPR (Peak-to-Average Power Ratio) is one of the most crucial performance concerns, since it makes OFDM particularly prone to harmonic distortion, reducing channel estimate accuracy and resulting in a lower bit error rate (BER). In the MIMO-OFDM system, we present a selective codeword shift mapping approach (SCS-SLM). It lowers the PAPR and forces the power amplifier to operate in the non-linear region, resulting in sub-carrier intermodulation, signal constellation, bit error rate distortion, and improved system performance. Additionally, using orthogonal frequency division multiplexing with space-time-frequency block code (STFBC OFDM) may increase BER performance. Selective Mapping is mentioned in this research as an effective approach for reducing PAPR. Furthermore, the bit error rate performance of this system is reviewed, as well as the process complexity as a result. A complete examination of the mutual independence of the alternative OFDM signals generated using this technique is also discussed, in addition to the previously mentioned analysis. Furthermore, the superfluous bits on the side of the transmitted OFDM signal are removed with this new technique. Keywords: (peak-average power ratio (PAPR), Multiple-input, multiple-output & orthogonal frequency-division multiplexing (MIMO-OFDM), space-time frequency block codes (STFBC), Selective Codeword Shift Selective mapping (SCS-SLM)
Automated Prediction of Brain Stroke Disease Classification Using Machine Learning Algorithm Techniques
Authors: R Mahesh , N S Nandini , G K Dr. Ravikumar
Published: June 2022

Abstract: The brain is the human body's primary upper organ. Strokes might leave you unable for a long time. Stroke is the top cause of death throughout the world. A stroke occurs when the brain's blood supply becomes exhausted and stops working. There are 2 main causes of stroke: an obstructed passage (ischemic stroke) or a leak or burst of vessels (hemorrhagic stroke).Predicting strokes early produces a better quantity that is cost-effective for the time of onset. Strokes are mainly caused by people's decisions about their habits, especially in the current scenario by changing people who like high blood sugar, strokes, obesity, diabetes, and hypertension. This evaluation used various deep learning (DL) algorithms such as CNN, Densenet and VGG16. The model is exploited with great accuracy in each of the subsequent algorithms in this study work to forecast the event for the fresh provided inputs. Keywords: Tensorflow, Opencv, Image Processing, Model File.
Image Processing for Alzheimer\'s disease Detection
Authors: B L Amruth , D Ms. Sindhu , G K Dr. Ravikumar
Published: June 2022

Abstract: Alzheimer's disease (AD) is a fatal, irreversible brain illness that wreaks havoc on memory and thinking. One of its most significant dementias is Alzheimer's disease. Dementia is the loss of cognitive ability. Image processing is commonly used in medicine to diagnose disorders and assist doctors in making decisions based on observations. This project tries to detect Alzheimer's disease as early as possible so that people can treat it before it becomes irreversible. We present a method for processing axial, coronal, and sagittal magnetic resonance imaging () of the brain. In a brain MRI, a segmentation algorithm to utilized to highlight lesions (). The hippocampus and brain volume are two areas that can be diagnosed with a brain MRI. Individuals with Alzheimer's disease compared to a healthy group with mild cognitive impairment. Keywords: Dementia, magnetic resonance imaging, Image processing.
Heart Rate Data Transmitter through GSM
Authors: Hemadhribotla Sandeep , Chaitanya T Krishna , Rahul T , Mudda Mallikarjun
Published: June 2022

Abstract— The heart rate data collected by analogue sensors is converted to digital and sent to the concerned mobile phone through GSM module. This proposal aims to use a wireless network to continuously monitor a cardiac patient. ECG equipment are commonly used to monitor the condition of heart patients, however because of their complexity, their output cannot be communicated. As a result, a simple method known as the 'Plethysmograph' is described here to measure the pulse rate. Blood is discharged from the ventricles when the heart muscle contracts, and a pulse of pressure is delivered through the circulatory system of the human body. This pressure pulse can be felt at the tips of the fingers: blood flow can be tracked with IR sensors for this purpose. The setup is such that infrared light emitted by an IR led passes through the finger tip, and the IR energy transmitted through the finger is measured using an infrared sensor at the other end. The IR energy that is given through the blood intensity of the finger will vary slightly depending on the blood flow through the tip. These minute changes are recognised and proportionate digital pulses are created via op-amp because both sensors are positioned in a clip parallel to each other. The microcontroller unit is set up to count and display the pulses based on these signals. The LCD is used in the display part, and the same data is sent to all of the computer processor's concern cellphone number.When the system counts and displays the pulse rate per minute, if it is higher or lower than the average value, an alert is activated automatically, and data is sent to the concerned mobile phone via the GSM module. Keywords—component, formatting, style, styling, insert (key words)
Wireless Electric Vehicle Battery Charging System using PV Array
Authors: Gaddam Sindhu , . Ruhie , Yasam Siva Naga Chethana , N Ranjith Kumar
Published: June 2022

Abstract: The rapid emergence and evolution of wireless power transfer technology (WPT) have led to the development of various electrical vehicle applications. One of these is the exploitation of the power from a photovoltaic (PV) array. This paper proposes a system that can extract the power from the PV array and recharge the electric vehicle's battery using a Series-Series compensated network. The use of the resonance phenomenon in transferring power efficiently has been widely acknowledged. Due to the presence of various reactive components, a frequency analysis of a series-series compensator is performed. A proposed system for analyzing the frequency of a wireless power transmission system is simulated in MATLAB Simulink software. The results of the study and the simulation are presented in this paper, which helps in validating the proposed system. The proposed system can be used in various climatic conditions to recharge an electric vehicle. In addition, the proposed system can be developed with closed-loop controllers to improve its performance. Keywords: PV array, H-bridge inverter, Rectifier, wireless power transfer, series-series compensation, photovoltaic, Battery, Transmitter, Receiver.
A Model of Directorate of Students Welfare Scholarship that integrates Higher Education among the students of the Maharaja Sayajirao University of Baroda, Gujarat
Authors: Pandya Prof. Rameshwari , Gokhle Mr. Sandeep , Shah Dr. Pooja
Published: June 2022

Abstract: The Maharaja Sayajirao University, Baroda's flagship programme is the Directorate of Students' Welfare (DSW). It was established by the then Vice Chancellor, Prof. Yogesh Singh, and higher authorities to provide financial aid to the University's economically disadvantaged students. The primary goal of DSW is to provide financial assistance to 'genuine but economically disadvantaged' future assets of the country who are pursuing their studies at the Maharaja Sayajirao University of Baroda. DSW was established in the academic year 2012-13 with the goal of putting the haves and have-nots on an equal footing. Students who apply for a scholarship must have a family income of less than 3.5 lakh rupees per year and have received 55 percent in their previous year's exam. The online application can be made on the Maharaja Sayajirao University website (https://msubaroda.ac.in/dsw) with all the supporting papers such as Aadhar card, Bank Account details, Electricity bills, and so on. The DSW collaborates with members of its Core Committee and Faculty Coordinators. The Faculty Committee, which consists of the Dean, three professors, the dean of students, and the dean of sports, conducts the initial examination. The core committee then verifies the qualifications and assigns Recommendation, Strongly Recommendation, or Not Recommended ratings based on the students' merits. Each academic year, the committee meets to debate the agenda, make plans, and act in accordance with the Vice Chancellor sir's instructions. Every year, needy and genuine students are discovered through a methodical process that culminates in a personal interview in which the students are asked for personal information and all documents are verified. If during the interview the committee feels the need to go for home visit for further verification. After they are shortlisted, the funds are directly transferred to their bank accounts. For educational year 2020-21 the method was completely online due to Covid situation. Total 2925 students had done registration out of that 2621 application was completed with necessary documents. A total Rs. 90, 40, 490 Lakh has been given to 2004 students this educational year. If we see the data we have helped 1662 Grant in Aid students and 342 Higher payment students as they have received the scholarship. Also gender wise distribution is seen it is 1181 boys and 823 girls were benefitted with DSW scholarship. Keyword: Directorate of Students’ Welfare, Scholarship, Higher Education
Women and Crime in India
Authors: Kanjilal Dr. Mahananda
Published: June 2022

Abstract: Article 39 of Indian Constitution mentioned about gender equaity. Inspite of that provision, gender discrimination is a common feature in Indian society. Because of widespread gender discrimination women are victims of several crimes in India. The present paper tries to analyse the pattern and trends of various crimes on women in India and also tries to focus on possible reasons. The period of study is 2011 to 2015. Apart from the analysis at national level, the crimes on women at state level and district level has also been taken into consideration. From the state wise analysis it has come out that the highest number of crimes registered in the period under consideration took place in Uttar Pradesh. Other states where the crimes on women are very high are West Bengal, Rajasthan, Maharastra and Andhra Pradesh. The lowest number of crimes on women are found in Arunachal Pradesh and Goa. Relatively lesser number of crimes on women are found in North Eastern states like Manipur, Meghalaya, Mizoram, Nagaland, Arunachal Pradesh. The socio economic structure, attitude towards women and literacy levels and male dominated society may be some of the inherent reasons behind huge number of crimes on women in India. Key words: women, crime, constitution, society,
Study of ETL Process and Its Testing Techniques
Authors: Prajapati Mr. Sujit , Mary Mrs. Sarala
Published: June 2022

Abstract: ETL stands for Extract Transform and Load. ETL is a process in Data Warehouse. In this process ETL tools are used to extracts the data from various data source systems from where data can be retrieved, transforms it in the staging area, and at the end it loads the data into the Data Warehouse system. This process picks data from operational system and fixes it into the data warehouse. Construction of an ETL process is one of the bulky task of data warehouse. In this paper we will try to cover ETL process, Different ETL testing techniques and their challenges. Keywords: Extract, Transform, Load, ETL testing
Use of Different Depth of Footing to Determine Extra Number of Floor Required in Given SBC of Soil
Authors: Tripathi Mr. Piyush Kumar , Vishwakarma Mr. Arvind
Published: June 2022

Abstract— The construction of residential and commercial buildings has increased dramatically over the past two decades. A significant number of these buildings have been built in the central region such as Indore, Bhopal, Ujjain and others, and many more are planned or under construction. There are a number of design features that can significantly affect the design, including because the weight of a building increases with height, and thus the bearing capacity supported by the foundation can increase with the soil. Because the parameters vary from place to place or from different regions of the earth. These parameters need to be analyzed and evaluated. In these articles optimised number of floor can be evaluating by the analysis of a residential apartment having a plinth area taken as 625 m2 . The project consist a building with plinth area of 875 sq. m. The optimization is taken by varying the different depth of foundation i.e. 1.2m, 1.9m, 2.6m, 3.3m and 4m for the constant SBC of soil. The modelling with foundation consideration is analyzed on software under the seismic response by response spectrum method with total different 05 model cases. The main aim of the project to find the number of floor required for different depth of footing with constant area in given SBC of soil under seismic zone III. Keywords— Multi-storeyed Building, Seismic Analysis, SBC of soil, Foundation Depth, Extra Floors.
Student Performance Analysis based on IQ and EI using ML
Authors: Thombare Apurva , Thorat Samradnyi , Pisal Pooja , Yadav Shivanee , Kamble Pratiksha
Published: June 2022

Abstract: Today’s world is full of competitions, every student needs to strive for a better career in future. But it is important for students, parents and educational institutes to analyse student’s performance. This analysis will help in providing excellent learning resources, environment and better experiences, improving their university ranks and reputations. The student performance analysis should be done at an early stage of the career so as to have an excellent and successful career. As per the New Educational Policy (NEP) 2020, the previous academic structure is transformed into the New Pedagogical and Curricular Structure. The new curricular was designed for the learners at different stages of their development such as 3 to 8, 8 to 11, 11 to 14, and 14 to 18 years. The last stage which focuses on students in the range of 14 to 18 years ( i.e. Class 9 to Class 12 students) are termed as Secondary Stage. The aim of the project is to to prove the possibility of training and modelling a dataset extracted from a UI and to create a prediction model using Machine Learning algorithm. The dataset was fed to one of the Machine Learning algorithms to acquire an accurate model. Keywords: EI (Emotional Intelligence), IQ(Intelligence Quotient), Machine Learning.
Wind Load Analysis on Different Configuration on Stadium Light Pole
Authors: Ramkuma M. , Ramakrishnan R.
Published: June 2022

Abstract: In this work, a comprehensive study is made in a dynamic manner to understand the effect of this corrosive induced structural failure of a monopile flood light tower. Various climatic conditions subjected to rural and urban environments are considered to understand the source of failure and these results are effectively utilized to optimize the design of these structures to increase their fatigue life in turn reduces the possibility of catastrophic failures. Computational fluid dynamics (CFD) and Finite element analysis (FEA) play a vital role in conceptual design and design for development in industries and research where pure mathematical and experimental approaches are next to impossible. Thanks to these technologies many insights are revealed during the design evolution of a product that helps in optimum design of a product. This work utilizes the surface chemical reaction capability that is available in Ansys Fluent to conduct a detailed aerodynamic study for various wind conditions and to locate the place of maximum corrosion and these inferences are in turn will be utilized in further FEA analysis to predict the structural failures.Finally these interpretations are applied in reaching an optimum monopile structure with design retro-fittings and design alterations that enhance the applicability of these structures. Keywords: Monopile light tower, CFD ( Computational Fluid Dynamics), FEA (Finite Element Analysis), fatigue life
Multiple Disease Detection Using Machine Learning: A Survey
Authors: Karale Dr. Ankita , Talpade Uday , Nikumbh Sahil , Wadekar Laxman , Angre Parikshit
Published: June 2022

Abstract— In recent years, some researchers have used various machine learning-based approaches to develop autonomous disease detection systems, and early disease identification may help to reduce the number of people who die. The disease detection models aim to bring the medical and artificial intelligence (AI) fields together so that people can understand how well AI and medicine can work together. To better understand the role of Artificial intelligence in the medical field, we plan to conduct a comprehensive study on AI applications for the healthcare sector. First, we'll go over the highlights and motives for using AI in the healthcare industry. Following that, we go over machine-learning-based algorithms for integrating AI and the healthcare sector in depth. Next, we go over the technical problems of AI in the medical industry first, and then show how machine learning can help. We also look into the impact of machine learning in the medical field. Moreover, we also present several notable initiatives that demonstrate the importance of machine learning in healthcare applications and services. Finally, discuss some existing issues in disease identification and suggest future research and development areas that will lead to the usage of machine learning in the healthcare sector. Keywords— CNN, Deep Learning, MRI, Artificial Intelligence, Neural Network, Image Processing.
Modelling and Analysis of Three Phase Grid Photo Voltic System for Electric Vehicle
Authors: Sheikh Heena S. , Channe Yogini U.
Published: June 2022

Abstract: Renewable energy systems area unit seemingly to become wide spread within the future thanks to adverse environmental impacts and step-up in energy prices connected with the exercise of established energy sources. Solar and grid energy resources area unit various to every different which can have the particular potential to satisfy the load quandary to a point. However, such solutions any time researched severally aren't entirely trustworthy thanks to their impact of unstable nature. During this perspective, autonomous electrical phenomenon and grid hybrid energy systems are found to be a lot of economically viable various to meet the energy demands of diverse isolated shoppers worldwide. Conservation of energy is extremely traditional these days however management of energy is extremely essential issue to figure on the idea of change to energy generation devices for continuous provide of dc storage conjointly demand of electricity is increasing day by day however accessible wattage plants aren't ready to provide electricity as per the strain wants. The main objective of the project is to supply a framework for promotion of enormous grid connected grid - solar PV hybrid system for optimum and economical utilization of transmission infrastructure and land. Project conjointly aims to encourage new technologies, ways and way-outs involving military operation of grid and solar PV plants. Battery storage could also be other to the hybrid project to cut back the variability of output power from grid solar hybrid plant, for providing higher energy output for a given capability at delivery purpose, by putting in further capability of grid and solar energy in an exceedingly grid solar hybrid plant and making certain handiness of firm power for a specific amount. Keywords: Electric vehicle, solar power, vehicle-to-grid, management of power.
Design and Fabrication of Exhaust System of Formula Student Car
Authors: Naranng Hitesh , Sharma Keshav , Mehta Donil , Sheth Smit , Bhanderi Smit , Patel Anand
Published: June 2022

Abstract— The overall aim of this paper is to refine the design and manufacturing techniques of the exhaust system of FSAE cars. The main objective of this paper is selection of ideal geometry of the 4-cylinder engine (GSX R600) exhaust manifold in terms of optimization of back pressure and reduction in gross weight of the exhaust system. For achieving this, we have considered runner length and diameter, muffler diameter, flow of gases in the exhaust manifold, volumetric efficiency, etc. Softwares used in design and validation are Solid works, Ansys and GT Suite. Keywords— FSAE, Exhaust Runners, Collector, muffler, CFD, 1-D engine simulation, NRC
Analysis of Microstrip Patch Antennas for Effective Bandwidth
Authors: Gudimella Sunil Sriharsha , Paladugu Chandra Bhuvana , Nadimpalli Harini , Yampavali Damodar Rao , Tatineni Madhavi
Published: June 2022

Abstract-Local Area networks work in frequency ranges 900 MHz, 3.6 GHz, 4.9GHz, 5 GHz, 5.9 GHz, 6 GHz and 60 GHz. It supports broadband communication and provides end to end communication without any propagation delays. For establishing LAN network, antennas are employed to transmit and receive signals. But the existing antenna designs for wireless LAN cannot accommodate higher bandwidths even though they provide good gain. Microstrip patch antennas are considered as they have high compatibility rates, low volume and are easy to manufacture. This paper proposes the design of a microstrip patch antenna with effective bandwidths at 1 GHz and 2.4 GHz using microstrip feed technique with dielectric materials such as FR 4 Epoxy, Arlon 450 and Taconic35. The results are shown in graphical format and have been tabulated. From the results we can conclude that FR 4 Epoxy with 1.6 mm substrate height has given best results among Taconic 35, Arlon 450 and FR 4 Epoxy. From the results we can conclude that we have achieved better bandwidths when compared to the previous works available. Keywords— Rectangular Microstrip Antenna (RMSA), Circular Microstrip Antenna (CMSA), Voltage Standing Wave Ratio (VSWR), Return Loss (RL), Co-Axial Feeding, Microstrip Feed
People Counting in Crowd: Faster R-CNN
Authors: Kumar Saravana , Kumar Kranthi , Menon M Vishnu , Reddy K. Anirudh , Yadav B. Mahender , Pavan B. M. N. Sai
Published: June 2022

Abstract-Because of its vast range of operations, people counting in crowds is a significant challenge in the field of computer vision. To achieve further dependable results of crowd counting, head discovery grounded ways are used rather than viscosity chart grounded crowd counting ways. This is because, in case of viscosity charts, it isn't always the correct position which contributes to final crowd count. This leads to unreliable results especially in case of false positives. This makes the entire task of head discovery in crowded scenes a grueling one to be solved. While face discovery has reached maturity, the more general task of chancing people in images and videotape still remains to be veritably challenging. Count of people may also be demanded for the statistical purposes which help to concoct marketing strategies or it may be used for crowd control in colorful situations image processing is a fashion for applying operations on an image in order to ameliorate it or prize precious information from it. In our design, input to the system is an image/ videotape of the surveillance system which further divided into image frames. Our proposed system gives the count of people in the scene using the Faster R- CNN object discovery algorithm.
Controlling the Project Cost in Construction Sector by Developing Management System: Wastage Analysis by Using Earned Value Management
Authors: Padmane Pranav Vitthalrao , Nag Dr. Anita
Published: June 2022

Abstract— In construction sector, construction material impacts overall cost of project to the great extent. Management of cost control is extremely important by implying different management technique at micro-level of project activities. Due to the various constrain, material cost is increasing day by day, which adversely affects project budget cost. Construction sector is growing widely, especially large quantum projects. These projects require huge quantity of variety material. Use of traditional method might results in excess quantity of ordered material resulting in decreased profitability of project. Application of wastage analysis of material by using Earned Value Management helps to minimize the wastage of material. Excess ordering of material results in unnecessary capital expenditure causing problem to the smooth cash flow. Material cost can be up to 60-70% of total cost of project. In this study, Retail fitout store is considered for comparison between traditional material procurement and procurement after performing wastage analysis. Keywords—construction: Budgeting: Costestimate: wastage analysis: cost.
Vehicle Tracking System using GPS and GSM Technology
Authors: Sakla Niraj , Pawar Avinash , Dhawan Prof. Anamika
Published: June 2022

Abstract - The vehicle tracking system is a device installed during a vehicle to enable the owner or a 3rd party to trace the vehicle's location vehicle tracking system that works using GPS and GSM technology, which might be the most costeffective source of auto tracking and it might work as anti- theft system. It is an embedded system which is employed for tracking and positioning of any vehicle. This design will continuously monitor a moving Vehicle and report its status as and when requested. A GSM modem is employed to send the position (Latitude and Longitude) of the vehicle from a foreign place. The GPS modem will continuously give the infoi.e., the latitude and longitude position of the vehicle. Thesame data is shipped to the mobile at the opposite end from where the position of the vehicle is demanded. When the user request is sent to the GSM modem, the system automatically sends a return reply thereto mobile indicating the position of the vehicle in terms of latitude and longitude in real time. Keywords: GPS, GSM, vehicle tracking, sensors
Modal and Explicit Analysis of Formula 1 Halo
Authors: Raikar Dattaraj
Published: June 2022

Abstract— Formula 1 cars are one of the finest track machines, they can travel at speeds up to 375 km/h, at such speed the car may lose traction or due to any other conditions there can be prospects of a crash. To protect the driver from such highspeed crashes, head protection Halo devices can be used to protect the upper portion of the driver which includes the head, neck, and thorax. In this study, a Halo device which is an official Formula 1 safety device is studied and numerous analyses are performed on it. Furthermore, a Halo design is structured and modeled in SolidWorks by taking the best material suitable for the Halo device. The analysis is performed on the ANSYS software where all the results are evaluated, by performing Explicit Dynamics analysis, Modal Analysis, and Static structural analysis after positive results are gained from the analysis, it was concluded that Titanium of Grade 5 was the best suitable material for the Halo device. Keywords— Explicit Dynamics, Halo, Formula 1, Crashworthiness, Modal, FEA
Performance Evaluation of Bamboo Reinforced Concrete Beam
Authors: Pitake Prof. Satish A.
Published: June 2022

Abstract—Bamboo, which is a fast-growing and ecologically friendly material for structural applications, is being considered quite appropriate. Which consist property similar to the steel so bamboo drew the attention of many researchers for use as reinforcement in concrete. Some physical and mechanical property test are conducted in the specimen of messy and manga bamboo. Moisture content test, density test, compressive test & tensile test. The tensile strength of bamboo is high and reached up to 109.9 to 118.37 mpa. This makes bamboo a pretty alternative to steel in reinforcement loading applications. In this study, it has been attempted to develop engineered bamboo structural elements for use in low-cost housing or G+1 structures. Keywords—Bamboo Reinforced Concrete, Universal testing machine (UTM), Tensile Strength, Compression Strength, Flexural Strength.
Pneumonia Classification in Lung X-ray Images Using CNN Technique
Authors: A G Spandana , G K Dr. Ravikumar , D Ms. Sindhu
Published: June 2022

Abstract— A fundamental phase in the technique of pneumonia diagnosis is the evaluation and categorization of lung disorders utilizing X-raypictures, especially during a crucial era such as the COVID19 pandemic, which is a kind of pneumonia. As a result of the growing number of cases, an automated approach with high classification accuracy is required to classify lung disorders. Due to its quickness and effectiveness when it comes to visual recognition tasks, CNN based segmentation has acquired a lot of traction in recent years. We present an implementation of CNN-based classifiertechniques utilize a domain adaptation approach to identify pneumonia and analyze the outcomes to choose the best model for the job depending on specific parameters in this paper. There are various models because this is a rapidly growing topic, and we will concentrate on the bestperforming methods relying on their structure, tier length and style, and categorization task assessment criteria. To begin, we look at the existing traditional approaches and supervised learning frameworks for segmentation. Then, depending on the reliability and damage functionality of the constructed models, we undertake a detailed evaluation and analysis. A rigorous examination of the findings is carried out in order to highlight the major concerns that need to be addressed. Keywords— Covid19, CNN, pneumonia, X-rays.
Securing Charities Using Blockchain
Authors: Jadhav Mr. Manish
Published: June 2022

Abstract: While analyzing the problem we thought about the importance with respect to data security. Since everything is getting digitalized, security is the key point in this digital era. So, when it comes to data security or data integrity, there are serval ways through which we can achieve this. So, we started finding loop holes in digitize donation system. As this way we came on the conclusion that there are loop holes in the charity system. Hence, we have decided to use the most spectacular data security related technology i.e., “blockchain”. We are implemented blockchain technology in this proposed system, so that whatever transaction / donation done between donor and beneficiary will be transparent and open to world. which will ultimately reduce chances of corruptions usually happen in the donation system.
College Management Web Application System Using Mean Stack
Authors: Sonawane Harshal
Published: June 2022

Abstract: The main goal of this project is to add mobility and automation to the process of managing student information in the laboratory. In real-world scenarios, for example, on a university campus, information is distributed to students in the form of notifications, handwritten manuals, and word-of-mouth messages. Today, it is important to communicate faster and easier between students using new formats such as mobile phone technology, as well as predictable forms of expression.The central idea of this project is the implementation of a web-based campus application for further development of educational institutions and educational systems. This application is used by students, teachers and parents. In previous systems, all information had to be displayed in a hard file or website. At the same time, searching for information is difficult to access and takes a long time to search existing websites. Therefore, to solve this problem, you can use a Web based application with MEAN Stack to make this process easier, more secure, and less error-prone. This system provides more efficient information.
A Web Application for Lung Cancer Analysis and Detection using Deep Learning Approach
Authors: Nagalapuram Gayathri Devi
Published: June 2022

Abstract: Lung cancer is one of the most common and deadly cancers worldwide. One of the most effective ways to fight cancer is to discover it early enough to improve the patient’s chances of survival. The Discovery of lung cancer at an early stage helps in reducing its risk. Various technologies like MRI, isotopes, X-rays, and CT scans are used for diagnosis of lung cancer. The studying of lung nodules helps a doctor to determine if the patient is malignant. These nodules sometimes have a chance of growing undetected by the naked eye. In this project, Lung cancer stage is detected with the help of patient details, symptoms and CT scans by using Machine learning and Deep learning algorithms with open-source datasets. The proposed approach uses Machine learning algorithms to study past medical records and determine if the patient has lung cancer. Deep learning models are used to analyze the CT scans to determine the stage of lung cancer. The major goal of this project is to find nodules as small as 3 mm to detect cancer stage accurately. Finally, the machine learning model calculates the patient’s estimated medical insurance costs. This project is useful for the early detection of lung cancer in individuals and can help them in overcoming these health conditions. The effectiveness of cancer prediction systems helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status
Effect of Graphene Reinforcement on Damping Properties of Epoxy/Glass Hybrid Composites
Authors: G Manjunatha , Sharma K V
Published: June 2022

Abstract: The main objective of this work was to investigate the influence of graphene reinforcement on natural frequency and mode shapes of epoxy / glass fibre / graphene hybrid composites. The graphene of 3, 4 and 5 wt.% were dispersed in the epoxy resin by ultra-sonication, then the hybrid composite laminates were fabricated by hand layup technique Damping characteristics of the developed hybrid composite laminates were determined experimentally using Model test rig and numerical method using ANSYS workbench. The natural frequencies of the first three modes for the hybrid composites were increased by 8.05, 6.64 and 1.09% due to the presence of graphene leading to higher global stiffness. On the other hand, the damping ratio of the first three modes for the hybrid composites decreased by 35.29, 57.63 and 49.25%, respectively, because of the decrease in surface area available for energy dissipation caused by the graphene reinforcement. The numerical validation revealed that the deviation for the first mode is higher as compared to the other two modes
Automatic Detection of Covid using CT Scans
Authors: Polkampally Nikhil
Published: June 2022

Abstract: Covid 19 is an infectious disease which is caused by SARS-CoV-2 coronavirus and spreads very quickly from an infected person. There are many ways to detect the presence of covid using classical methods like RT-PCR, Rapid tests, X rays and CT scans. This paper focuses on using CT scans to detect the presence of Covid 19 using deep learning. This method provides a faster, simpler and safer way to diagnose Covid 19. The deep learning model using ResNet50 with additional image preprocessing techniques with a customized dataset detects Covid 19 with an accuracy of 89%. This paper proposes an end-toend application which provides a deep learning backend to test the CT Image and a Web Front-end for users to diagnose Covid 19 and get the result instantaneously.
Comparative Cost Analysis of Conventional Method and Precast Concrete
Authors: Survase Mr. Udaysingh Prakash , Bhosale Prof. K. S.
Published: June 2022

Abstract: The main reason for doing this research is that the cost of building a simple house for common man is very high cost. So we are going to test the precast concrete option in every possible way and try this other option are available to do. If we using precast than other options we saving almost 60 to 80% cost.
The Mediating Effect of Attention and Grit on the Relationship between Parents' Inconsistent Parenting Attitude and Adolescent's Happiness
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Myong Hwa , Kim Hye Jin , Choi Jae Hyuk
Published: June 2022

Objectives This study was conducted to investigate the mediating effect of attention and grit on the effects of inconsistent parenting attitudes of parents on adolescent happiness.
Methods The data of this study were analyzed through SPSS 18.0 and AMOS 18.0 programs. First, descriptive statistics and correlation analysis of major variables were performed, followed by confirmatory factor analysis to verify the validity of the measurement model. Second, structural equation model analysis was conducted to confirm the structural relationship between major variables. Third, to verify the significance of mediating effects, bootstrapping using phantom variables was performed.
Results The results of this study are as follows. First, inconsistent parenting attitudes of parents showed negative correlations with adolescents' attention, grit, and happiness, attention showed positive correlations with grit and happiness, and grit showed positive correlations with adolescents' happiness Second, concentration of attention had a mediating effect on the relationship between inconsistent parenting attitude and adolescent's happiness. Third, grit had a mediating effect on the relationship between parents' inconsistent parenting attitude and adolescents' happiness. Fourth, attention and grit had a double mediating effect on the relationship between inconsistent parenting attitude and adolescent's happiness.
Conclusions The fact that the significant relationship between inconsistent parenting attitude and happiness, attention and grit was confirmed for adolescents, and the two factors of attention and grit were mediating factors It is meaningful in that it has been confirmed that it works as.
The Effects of Nursing Education Program Combined Virtual Reality Simulation for Enhancing Critical performance: A Systematic Review and Meta-Analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Lee Eun-Ju , Baek Gyu-Li
Published: June 2022

Objectives This study is a systematic review and meta-analysis to confirm the characteristics, effects, using nursing education program combined virtual reality simulation for enhancing critical performance.
Methods This study is based on the literature published up to November 2021, CINAHL, Pubmed, EMBASE, Cochrane and electronic databases were used overseas, and RISS, KISS, and DBpia were searched in Korea. Data analysis was performed using R version 4.0.2 to calculate the effect sizes and explore possible causes of heterogeneity.
Results As a result of the analysis, the effect size of the virtual reality simulation combined nursing education program was 0.79 for clinical performance and 0.73 for critical thinking, showing a large effect size, and was statistically significant (p<.001).
Conclusions Therefore, the results of this study can be used as basic data for program development to cultivate clinical performance ability and critical thinking, which is the basis for nursing students to grow into professional nurses. The purposes of this study were to specify variables related to convergence competency, and to analyze the structural relationships among them. The purposes of this study were to specify variables related to convergence competency, and to analyze the structural relationships among them. The purposes of this study were to specify variables related to convergence competency, and to analyze the structural relationships among them. The purposes of this study were to specify variables related to convergence competency, and to analyze the structural relationships among them.
The Relationship among Marital Satisfaction and Parental Attachment, Ego-Resiliency, Ego-Identity, and School Adjustment of Adolescents: Using APIM
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Choi Hyosik , Yeon Eun Mo
Published: June 2022

목적 본 연구에서는 부모의 결혼만족도가 부모애착에 영향을 미치는 자기효과와 상대방효과를 확인하고, 나아가 부모의 결혼만족도, 부모애착, 자아탄력성, 자아정체감, 학교적응 간 관계에서의 구조적 영향 관계를 살펴보고자 하였다.
방법 이를 위해 한국아동패널 12차(2019년) 자료 948 쌍을 분석 대상으로 하였으며, 12차 자료는 초등학교 5학년이 되는 시점이다. 분석을 위해 자기-상대방 상호의존모형(Actor and Partner Interdependence Model, APIM) 분석 방법을 활용하였다. APIM 분석은 구조방정식 모형에 기초하여 분석하였으며, 문항 꾸러미(item parceling), 최대우도법(ML)을 사용하였다.
결과 분석 결과, 첫째, 어머니와 아버지 모두 결혼만족도가 부모애착에 영향을 미치는 자기효과는 통계적으로 유의하지 않았으며, 어머니의 결혼만족도가 부 애착, 아버지의 결혼만족도가 모 애착에 정적인 영향을 미치는 상대방효과는 통계적으로 유의하였다. 둘째, 어머니의 결혼만족도는 학교적응에 정적인 영향을 미치는 직접효과가 확인되었다. 셋째, 어머니의 결혼만족도는 부 애착, 자아탄력성을 매개로 학교적응, 어머니의 결혼만족도는 부 애착, 자아정체감을 매개로 학교적응, 아버지의 결혼만족도는 모 애착, 자아탄력성을 매개로 학교적응, 아버지의 결혼만족도는 모 애착, 자아정체감을 매개로 학교적응에 정적인 영향을 미치는 것으로 확인되었다.
결론 본 연구는 초등학생의 학교적응 수준을 높이기 위해 배우자의 결혼만족도를 높임으로써 자녀가 지각한 부모애착, 자아탄력성, 자아정체감을 강화하는 것이 중요함을 시사한다.

Objectives The purpose of this study was to investigate the influence of the actor and partner effect of marital satisfaction on parental attachment of children and to examine the structural relationships among marital satisfaction of parents and parental attachment, ego-resiliency, ego-identity, and school adjustment of their children.
Methods The study used a sample of 948 pairs of parents and their children who become a 5th grader in 12th wave of Panel Study on Korean Children(2019), and they were analyzed based on the Actor and Partner Interdependence Model(APIM).
Results The results were as follows: First, both mother’s and father’s marital satisfaction did not show statistically significant actor effect to parental attachment of their children. However, both mother’s and father’s marital satisfaction reported statistically significant partner effect to parental attachment of their children to each. Second, the actor effect of mother’s marital satisfaction on school adjustment of their children were appeared. Third, mother’s marital satisfaction had a meaningful influence on the school adjustment of their children through their attachment to fathers and ego-resiliency. In addition, children's ego-identity was also mediated the relationship between mother's marital satisfaction and their school adjustment with their attachment to fathers. Moreover, the same pattern was confirmed in the relationships among father's marital satisfaction and children's ego-resiliency, ego-identity, parental attachment, and school adjustment.
A Study on Types of Latent Transition of Youth’s Career Development Competencies and Related Variables: Focused on Busan Education Longitudinal Study
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Hyungran , Kim Sukwoo , Bae Gana
Published: June 2022

Objectives This study classified youths living in Busan into different latent groups depending on career development competencies and performed an analysis to identify what factors can be used to predict related patterns including a pattern of transition between latent groups.
Methods In this study, we used the first wave (2016, first grade middle school students) and fifth wave (2020, second grade high school students) of data from Busan Education Longitudinal Study (BELS). The subjects are 1,915 youths, who responded to all of the 16 questionnaire items concerning career development competencies. We performed latent transition analysis to identify the latent profile types and transition between classes across two-time points. Subsequently, multinomial logistic analysis was applied to explore variables that can be used to predict a transition pattern.
Results First, the first grade middle school students and second grade high school students were classified into two groups: active and passive career planning groups. Second, the patterns of profile transition between the two points in time were classified into two types: maintenance and change types. Generally, latent groups of career development competencies in middle school transitioned into similar latent groups. The probability of maintenance was higher in an active career planning group than in other types. Of the subjects, 29.4% showed negative change, while 36.4% showed positive change. Third, the analysis of factors affecting career development competencies of middle schoolers found that the first grade middle school students were more likely to belong to the active career planning group if they had visited an upper school, attended a school admission briefing session or collected information from media and online communities. For the second grade high school students, a consultation with the homeroom teacher was not a statistically significant variable. They were more likely to belong to the active career planning group if they had a consultation with the career teacher at school.
Conclusions The variables having a significant effect on latent groups were different between middle and high schoolers, and there were no variables affecting the transition between the two points in time. What is emphasized in career experience needs to be different in each grade.