ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: IMPLEMENTATION OF ATTENDANCE MARKING SYSTEM USING HAAR CASCADE CLASSIFIER AND CONVOLUTIONAL NEURAL NETWORK
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6437
Register Paper ID - 221654
Title: IMPLEMENTATION OF ATTENDANCE MARKING SYSTEM USING HAAR CASCADE CLASSIFIER AND CONVOLUTIONAL NEURAL NETWORK
Author Name(s): K Yugandhar Yadav, P Vyshnavi, C Sai Suvarna
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d636-d640
Year: June 2022
Downloads: 262
Licence: creative commons attribution 4.0
Paper Title: REALIZATION OF BATTERY CHARGER USING MULTILEVEL DC TO DC CONVERTER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6436
Register Paper ID - 221843
Title: REALIZATION OF BATTERY CHARGER USING MULTILEVEL DC TO DC CONVERTER
Author Name(s): J JAYA BRINDHA, Dr. C. GOVINDARAJU
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d625-d635
Year: June 2022
Downloads: 297
Licence: creative commons attribution 4.0
Multilevel DC to DC converter, Battery energy storage system, Electric vehicle charging station, voltage balance technique.
Paper Title: A STUDY ON LEVEL OF EDUCATIONAL ASPIRATION AND ANXIETY AMONG TEACHER TRAINEES OF MYSURU DISTRICT - KARNATAKA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6435
Register Paper ID - 221746
Title: A STUDY ON LEVEL OF EDUCATIONAL ASPIRATION AND ANXIETY AMONG TEACHER TRAINEES OF MYSURU DISTRICT - KARNATAKA
Author Name(s): Sharath Kumar C R, Prof. Praveena K B
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d594-d624
Year: June 2022
Downloads: 319
Licence: creative commons attribution 4.0
Educational Aspirations, Hidden feelings, Anxiety, technological era.
Paper Title: Bhartiya Sanskriti evam Sangeet
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6434
Register Paper ID - 221870
Title: BHARTIYA SANSKRITI EVAM SANGEET
Author Name(s): Kajal Singh, Dr. Ranjana Saxena
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d590-d593
Year: June 2022
Downloads: 564
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Licence: creative commons attribution 4.0
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Paper Title: PSORIASIS: A REVIEW
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6433
Register Paper ID - 221809
Title: PSORIASIS: A REVIEW
Author Name(s): Kanchan. R. Waghmare, Dr. Moholkar. A.V., Simakousar Sayyed.
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d584-d589
Year: June 2022
Downloads: 254
Psoriasis is a genetic, immune-medicated disease, that manifests in the skin or joints or both. A diverse clinical team with a range of experience is a necessity to treat psoriasis. Psoriasis has many challenging conditions including chronicity, high prevalence, disability, disfiguration & associated comorbidity. Understanding the importance of immunological function in psoriasis and the interaction between the innate & adaptive immune system has helped to maintain the disease complex, which affected patients extending far beyond the skin. In this review, we highlighted the clinical diversity of disease and comorbid diseases that are associated. A descriptive study of the recent development in psoriasis epidemiology, pathogenesis & genetic trends in psoriasis management. Our primary goal is to raise awareness of the complexity of these multifaceted diseases. The potential of cutting-edge technology therapeutic approaches in art and the necessity for early diagnosis & patients with psoriasis managed holistically
Licence: creative commons attribution 4.0
Psoriasis, Autoimmune disorder, chronic skin condition etc.
Paper Title: IMAGE CLASSIFICATION WITH BIG DATA AND DISTRIBUTED DEEP LEARNING
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6432
Register Paper ID - 221812
Title: IMAGE CLASSIFICATION WITH BIG DATA AND DISTRIBUTED DEEP LEARNING
Author Name(s): Krishna Shasank Turaga, Dr. Ravi Shankar
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d575-d583
Year: June 2022
Downloads: 263
Licence: creative commons attribution 4.0
Big Data, Deep Learning, Apache Spark, convolutional neural network (CNN), Image Classification dataset
Paper Title: GRIEVANCE REDRESSAL MECHANISM IN PUBLIC AND PRIVATE SECTOR BANK
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6431
Register Paper ID - 221826
Title: GRIEVANCE REDRESSAL MECHANISM IN PUBLIC AND PRIVATE SECTOR BANK
Author Name(s): SEENA MARY MATHEW
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d561-d574
Year: June 2022
Downloads: 265
Grievance redressal leads to customer satisfaction and loyalty. Complaint management is beneficial for banks as it maintains the present customers and builds the new customer base to its existing one. The present study has been designed to analyse the grievances faced by the customers of public and private sector banks through normal and digital banking, the modes preferred by them to redress their complaints . The results shows that Majority of the respondents from the public sector bank have been confronting problems related to levying of charges without notice . and also the customers in public sector are using verbal modes for registering their complaints while in the private sector the majority rely on digital means
Licence: creative commons attribution 4.0
Grievance redressal, modes of complaint, Complaint management
Paper Title: A STUDY BEHAVIOUR OF CLAYEY SOIL USING SODIUM CHLORIDE AND COIR FIBRE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6430
Register Paper ID - 220543
Title: A STUDY BEHAVIOUR OF CLAYEY SOIL USING SODIUM CHLORIDE AND COIR FIBRE
Author Name(s): Quansar jabeen, Asst. Prof Er Amit Talgotra
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d555-d560
Year: June 2022
Downloads: 286
To be suitable for construction, soil with low bearing and shearing strength must be stabilized. Soils have low tensile and shear strength in general, and their characteristics are heavily influenced by environmental factors. Soil reinforcement is the process of incorporating certain materials with desired properties into soil that lacks them. Soil reinforcement is defined as a technique for improving the soil's engineering characteristics. Manufacturing wastes were successfully used in soil reinforcement techniques in the past, according to some studies. Mechanical, thermal, and chemical methods can all be used to change the properties of clayey soils. As a result, soil stabilization techniques are required to ensure that soil is stable enough to support the load of the superstructure, particularly in the case of highly active soil; they also save time.
Licence: creative commons attribution 4.0
Soil stabilization, coir fiber, Sodium Chloride , MDD, OMC , UCS and CBR
Paper Title: LUNG PATTERN CLASSIFICATION FOR INTERSTITIAL LUNG DISEASES USING A DEEP CONVOLUTIONAL NEURAL NETWORK
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6429
Register Paper ID - 220850
Title: LUNG PATTERN CLASSIFICATION FOR INTERSTITIAL LUNG DISEASES USING A DEEP CONVOLUTIONAL NEURAL NETWORK
Author Name(s): MOHAMED SIRAJUDEEN M, NAFIS AHAMED S, NAVIN KIRAN R, DR.P. VIJAYALAKSHMI
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d550-d554
Year: June 2022
Downloads: 260
Cancer could be a disease during which cells grow rapidly and abnormally, making treatment difficult in some cases, but it may be controlled if detected early. Image Processing Mechanisms play a vital role in predicting and recognising both benign and malignant cells using classifier mechanisms like Decision-Tree (D-Tree), A-NN, Support-Vector-Machine, and Nave-Bayes classifier, which are widely employed in the biomedical field. These classifiers can distinguish between common and weird cells. the aim of this study is to review the foremost well-known Image Processing Mechanisms for carcinoma Detection and Prediction. Brief information on the most steps in proposing a good system using Image Processing stages like image acquisition and pre-processing..
Licence: creative commons attribution 4.0
Cancer,Detection, Image, Processing, Predicting.
Paper Title: A COMPARATIVE ANALYSIS OF CHILD RIGHT TO EDUCATION IN INDIA, GERMANY, AND THE UNITED STATE OF AMERICA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6428
Register Paper ID - 221855
Title: A COMPARATIVE ANALYSIS OF CHILD RIGHT TO EDUCATION IN INDIA, GERMANY, AND THE UNITED STATE OF AMERICA
Author Name(s): Mohammad Rasikh Wasiq
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d500-d549
Year: June 2022
Downloads: 247
Licence: creative commons attribution 4.0
Child right to education, Education system, literacy, comparative education system.
Paper Title: INTELLIGENTSYSTEMFORMONITORINGLINEOFSAFETYINRAILWAYPLATFORMS BY USING RASPBERRYPI.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6427
Register Paper ID - 221682
Title: INTELLIGENTSYSTEMFORMONITORINGLINEOFSAFETYINRAILWAYPLATFORMS BY USING RASPBERRYPI.
Author Name(s): L Sindhu, T.K.P.Rajagopal, S.Uma
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d492-d499
Year: June 2022
Downloads: 274
NowadaysPopulationGrowthisincreasingRapidly.ThelineargrowthofpopulationhasresultedinmanyPassengersusingRailways.Asaresult,morestrictsafetyrequirementsforrailwaysignaling,control,andinfrastructureareneeded.Accompanyingthat trend, in recent years, machine learning techniques have also advanced rapidly.People counting systems aim at automatically estimating the number of people indoorandoutdoorplaces.Theyarewidelyusedinretailenvironments,determiningconversionratio,advertising,andpromotionalevaluationsandtheycanbeusedforthetransportationmanagement system and video surveillance. This project presents a model of estimatingthe number of people in railway scenarios based on the deep neural network algorithmYOLO.WehaveinthisprojectdevelopedasystemcapableofautomatingthelightingonrailwayPlatformsbasedonthePassengerCountinRailwaysandalertingifapersonisinanunsafe zone when the train arrives at the location.
Licence: creative commons attribution 4.0
Fatigue detection, ultrasonic sensor, EARalgorithm, Arduino UNO, Open CV, DHT11 temperature sensor.
Paper Title: DETECT CREDIT CARD FRAUD TRANSACTIONS USING RANDOM FOREST AND CART ALGORITHM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6426
Register Paper ID - 221865
Title: DETECT CREDIT CARD FRAUD TRANSACTIONS USING RANDOM FOREST AND CART ALGORITHM
Author Name(s): CHANDAKA INDRA RAO, S KESAVARAO
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d483-d491
Year: June 2022
Downloads: 242
In current days we can find out lot of loss occurred mainly from credit card transactions, almost billions of dollars are getting lost through credit card fraud transactions. In general to identify such fraud transactions there is no accurate approach and hence the design of efficient fraud detection algorithms is the only solution for reducing these losses and avoids fraud transactions. This problem is very difficult because the credit card fraud data is almost unbalanced and unstructured so there is lot of confusion for the one to classify the fields and then find out the fraud transactions manually. In this thesis we try to design a model using Random forest and CART and take sample dataset collected from KAGGLE website and then check the performance of our model using the algorithms. Here we can see random forest can able to predict and find out the fraud activity very easily and accurately compared with several primitive models. The proposed random forest algorithm achieved more than 99.7 percent accuracy for finding the credit card fraud transactions from a large dataset.
Licence: creative commons attribution 4.0
Credit Card, Fraud Transactions, Random Forest Algorithm, CART Algorithm, KAGGLE.
Paper Title: PROGRESSIVE COLLAPSE OF G+7 STEEL STRUCTURE SUBJECTED TO FIRE LOADS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6425
Register Paper ID - 221715
Title: PROGRESSIVE COLLAPSE OF G+7 STEEL STRUCTURE SUBJECTED TO FIRE LOADS
Author Name(s): MR. PRAJWAL SHIVAJI BERAD, Dr. U.R. KAWADE
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d468-d482
Year: June 2022
Downloads: 244
Possible risks and abnormal loads that causes progressive collapse are as follows aircraft collision, design or construction error, firing, gas explosion etc. Such Conditions are not consider in designing structure like Residential,commertial Buildings, since possibility of occurring these kinds of risks is very low. Progressive Collapse in a building occurs when any major structural load carrying member (like columns) leads to collapse of adjoining members, which in-turn leads to the additional collapse. In this paper, the G+ 7 moment resisting steel frame building is analyzed for progressive collapse considering two methods namely linear static method by using ETABS 2018 software. In this attempt, the columns at different levels are subjected to varying temperatures ranging from 250?-750? with the interval of 250? with the material properties and yield strength as per IS 800-2007. Different load combinations are considered as per IS-875 part I & II. According to General Service Administration (GSA) -2016 guidelines the fire load is applied additionally at different storey to the selected columns in the Building. The structure is cheacked and analyses and the DCR values obtained are checked as per GSA- 2016 permissible limits.
Licence: creative commons attribution 4.0
Fire load,Progressive collapse,Demand Capacity Ratio,Steel Structure.
Paper Title: TRIPLE TALAK VERDICT- A FACT FINDING SURVEY.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6424
Register Paper ID - 221792
Title: TRIPLE TALAK VERDICT- A FACT FINDING SURVEY.
Author Name(s): Dr.NANDINI.G.DEVARMANI
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d461-d467
Year: June 2022
Downloads: 281
Licence: creative commons attribution 4.0
Talaq, Women, gender, discrimination
Paper Title: THE FEEDBACK AND PERFORMANCE EVALUATION SYSTEM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6423
Register Paper ID - 221748
Title: THE FEEDBACK AND PERFORMANCE EVALUATION SYSTEM
Author Name(s): Dr.P.Srinivasa Rao, Sai Ram Krishna Durgi, Vooturi Nithin Kumar, Segireddy Tejesh Reddy, Kampati Sai Teja
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d456-d460
Year: June 2022
Downloads: 249
This project is focused on collecting valuable feedback from anyone who has used a service or a product. So that through the provided feedback from the users, service or product providers can gain insights from the feedback and enhance the product or service. By this process the providers gets to know pros and cons of the product. The feedback and opinions on a project are used to shape new changes and improvements. A feedback system allows getting the desired output with continuous comparison with the reference to current system. We aim to develop a modern, scalable, reliable and robust web-based application which is useful for any organization i.e small, medium or large-scale. In the educational sector, performing student feedback electrolytically (using PC, Tablet, or Mobile) rather than the ordinary paper-based methods saves staff and students' time and makes managing the data easier. This paper proposes a new approach for the Electronic Student Feedback Management System based on web programming, which consists of input, process, store, and retrieves information using a database.
Licence: creative commons attribution 4.0
Custom Feedback, Campaigns, Statistics
Paper Title: STOCHASTIC MODEL FOR RECOGNITION OF THE OBJECTS FROM THE REAL-TIME VIDEO STREAM AND DETERMINATION OF ANIMAL IN AGRICULTURAL LAND
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6422
Register Paper ID - 221726
Title: STOCHASTIC MODEL FOR RECOGNITION OF THE OBJECTS FROM THE REAL-TIME VIDEO STREAM AND DETERMINATION OF ANIMAL IN AGRICULTURAL LAND
Author Name(s): Y.Ezhil Dharani, S.Ramalakshmi, Dr.M.Malini
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d450-d455
Year: June 2022
Downloads: 227
Licence: creative commons attribution 4.0
ResNet50 model, Convolutional Neural Network, Deep Neural Network.
Paper Title: PRECISION AGRICULTURE PLANTATION MONITORING USING A QUADCOPTER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6421
Register Paper ID - 221697
Title: PRECISION AGRICULTURE PLANTATION MONITORING USING A QUADCOPTER
Author Name(s): R.vishnuvardhan, R.Arunkumar, G.Gowthamprasad, S.Kamalesh
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d446-d449
Year: June 2022
Downloads: 242
Quadcopters have become an essential aspect of precision agriculture due to their advanced sensors and imaging capabilities. In this paper, we offer a framework that uses supervised learning to perform plantation monitoring and yield estimation while autonomously traversing along a plantation's inter- row path. The suggested navigation system, which has been integrated with ROS (Robot Operating System), supports the quadcopter in following a sequence of collision-free GPS route points. The navigation framework's trajectory planning and control module uses convex programming techniques to build a minimum time route between waypoints and generates appropriate control inputs for the quadcopter. A new 'Mango dataset,' which includes plantation surveillance video and annotated frames showing the many stages of pomegranate growth as well as the nascent pomegranate, has been released.
Licence: creative commons attribution 4.0
Robot, Plantation, Quadcopter, Agriculture, Imaaging.
Paper Title: A REVIEW ON PYROLYSIS OF BIOMASS WITH A FOCUS ON OPERATING PARAMETERS, PRODUCT CHARACTERIZATION AND ITS APPLICATION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6420
Register Paper ID - 221837
Title: A REVIEW ON PYROLYSIS OF BIOMASS WITH A FOCUS ON OPERATING PARAMETERS, PRODUCT CHARACTERIZATION AND ITS APPLICATION
Author Name(s): Saloni Acharya, Hemant Parmar, Anil Varma, Lokendra Singh Thakur
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d438-d445
Year: June 2022
Downloads: 233
Abstract: Biomass pyrolysis is an emerging technology that can be used for the production of the carbon neutral fuels and to replace the existing fossil fuels. Global concern for the clean energy fuel is growing day by day. Products obtained from the pyrolysis of biomass are bio oil, biochar and biogas. Biomass pyrolysis products have variety of usage with no such harmful waste product. Extensive research has been carried out on the biomass pyrolysis and various factors affecting it. This review paper aims to study the pyrolysis process, biomass and their composition. Furthermore, the factors affecting the pyrolysis process such as temperature, particle size, heating rate and sweeping gas are also studied. The composition of pyrolysis products and their application in different field are also studied. It is evident from literature that the biomass has a potential to meet the future energy requirements by using pyrolysis process.
Licence: creative commons attribution 4.0
Paper Title: A REVIEW PAPER ON ADSORPTION OF DYES FROM WASTEWATER USING ZNO NANO PARTICLES.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6419
Register Paper ID - 221836
Title: A REVIEW PAPER ON ADSORPTION OF DYES FROM WASTEWATER USING ZNO NANO PARTICLES.
Author Name(s): Aditi Gulabbhai Patel, Dr. Reshma L Patel, Jignesh I Brahmbhatt
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d432-d437
Year: June 2022
Downloads: 255
Water is an essential commodity in everyday life for every form of life. Though the water is the most abundant substance found in earth, still the usable/potable water resources are shrinking every passing day. One of the problems due to which the water gets contaminated is presence of dyes. This following review paper focuses on using an advanced technique involving adsorption of dye particles using ZnO nano particles. The ZnO nano particles are synthesized in the lab using simple precipitation method. The dyes are characterized by UV-Vis spectrophotometer and the ZnO nano particles characterized for its structural morphology using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier trans-form IR (FTIR) analysis. The size of the nano particles is found out and the application of these NPs are tested at various concentrations of dyes at various pH. The adsorption mechanism is studied in line with Langmuir model using diverse literature available. The treated water possesses characteristics within the safe disposable limits and can be either disposed to any stream of water or used for any raw water intake.
Licence: creative commons attribution 4.0
Wastewater treatment, adsorption, dye removal
Paper Title: STOCK PRICE PREDICTION USING LONG SHORT-TERM MEMORY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT22A6418
Register Paper ID - 221849
Title: STOCK PRICE PREDICTION USING LONG SHORT-TERM MEMORY
Author Name(s): Sharrath M, Jerome Francis D, Ilam Tamil Keeran K.M, Kulasai Muthu Raman M
Publisher Journal name: IJCRT
Volume: 10
Issue: 6
Pages: d428-d431
Year: June 2022
Downloads: 228
In the finance world stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financial exchange. This paper explains the prediction of a stock using Machine Learning. The technical and fundamental or the time series analysis is used by the most of the stockbrokers while making the stock predictions. The programming language is used to predict the stock market using machine learning is Python. In this paper, we propose a Machine Learning approach that will be trained from the available stocks data and gain intelligence and then uses the acquired knowledge for an accurate prediction. In this context this study uses a machine learning technique called Long Short-Term Memory (LSTM) to predict stock prices for the large and small capitalizations.
Licence: creative commons attribution 4.0
Python,Google colab,Machine learing with lstm,Operting system
The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.
Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more International Journal of Creative Research Thoughts (IJCRT) ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved. Provide DOI and Hard copy of Certificate. Low Open Access Processing Charges. 1500 INR for Indian author & 55$ for foreign International author. Call For Paper (Volume 12 | Issue 7 | Month- July 2024)