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)
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Paper Title: AUTOMATED AGRICULTURE ROBOT FOR EARLY STAGE PEST TREATMENT
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106612
Register Paper ID - 209186
Title: AUTOMATED AGRICULTURE ROBOT FOR EARLY STAGE PEST TREATMENT
Author Name(s): Panchavarthi Sujan, Koride Sumukh Bharadwaj, Uppalancha Vishnuja, Kumara Swamy Varkuti
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f193-f196
Year: June 2021
Downloads: 1042
The aftermath of the pest attack brings a huge loss to the farmers. Various pest detection methods were followed for many years and there is a need for proper implementation which leads to reduced loss and thus increased profit to the farmer. The pests are underneath the leaves, so they require various stages of detection. Early-stage identification of the pest decreases the losses and usage of pesticides. Tremendous uses of pesticides impinge soil fertility and eutrophication. Precision farming methods and techniques must be implemented. Thermal imaging gives the infrared radiation intensity of the objects. The movement of the pest can be identified through it. Drones are used to take wide ranges of images. These images are analyzed and identify the pest intensity. A proper spraying mechanism should be implemented on the land such that it sprays a required amount of pesticide to the plant. The pesticide should be sprayed at the pest area of the plant. Healthy plants are not sprayed with pesticides. Accurate measures of the number of pesticides are sprayed with the help of proper control mechanisms provided by drones; thermal imaging and ground robot-controlled spraying.
Licence: creative commons attribution 4.0
precision farming, thermal imaging, drones, controlled spraying
Paper Title: INNOVATIVE TECHNIQUE FOR MEASUREMENT OF HEAT RATE OF METAL AND ALLOY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106610
Register Paper ID - 209146
Title: INNOVATIVE TECHNIQUE FOR MEASUREMENT OF HEAT RATE OF METAL AND ALLOY
Author Name(s): Yogesh Pathak, Dinesh Dhongade, Priyanka Shinde, Chandrakant Bobade
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f182-f186
Year: June 2021
Downloads: 1082
Thermal conductivity measurement of metals or alloys is necessary in industry for quality control. Heat rate is one of the parameter in measuring thermal conductivity. In laboratory it is difficult to measure Accurate and repeatable heat rate and it takes longer time because of lengthy experimental process also complicated formulas. In order to overcome this we have designed software based heat rate measurement system using Phoneix kit. Combination of hardware and software framework is performed using Phoenix kit. Temperature is measured using IC LM 35 temperature sensor. Software is designed using python programming language with ubuntu operating system. The heat rate observed is 1.60938 0C/min, 1.615805 0C/min and 1.66379 0C/min for Steel, Iron and Brass respectively.
Licence: creative commons attribution 4.0
Heat rate, Phoenix kit, hardware, software, LM 35, Python Programming Language.
Paper Title: DETECTION OF TRAFFIC SIGNS BY CONVOLUTIONAL NEURAL NETWORK USING SEQUENTIAL API
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106609
Register Paper ID - 209183
Title: DETECTION OF TRAFFIC SIGNS BY CONVOLUTIONAL NEURAL NETWORK USING SEQUENTIAL API
Author Name(s): Janmejoy Kar, Manish Kumar, Dipali Dhake, Gayatri Palde, Umakant Mandawkar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f177-f181
Year: June 2021
Downloads: 1036
Traffic Sign Recognition is needed for independent driving and assisted driving research. TSR studies are of incredible importance for enhancing street traffic safety. In recent years, CNN (Convolutional Neural Networks) has made quite an achievement in image processing tasks. It shows higher accuracy than the traditional approach. Although, the execution time and accuracy of the present CNN techniques have been improved. The hardware necessities also are better than earlier than, resulting in a bigger detection value. To clear up those issues, this paper proposes a new approach to the CNN model. Improvised batch normalization and enhancing the community shape for traffic signal detection duties. The accuracy of the model inside the traffic signal detection project is significantly advanced, and the detection velocity will become quicker. The result showed that the strategy in this paper has assisted with improving the precision and recognition speed of traffic light identification and waning the equipment prerequisites of the discovery framework too.
Licence: creative commons attribution 4.0
Traffic Sign Recognition, Neural Network framework, Multi-variant classification, Normalisation
Paper Title: A SECURE FRAMEWORK FOR CRACK DETECTION IN UNDERGROUND TUNNEL IMAGES USING MACHINE LEARNING TECHNIQUES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106608
Register Paper ID - 209163
Title: A SECURE FRAMEWORK FOR CRACK DETECTION IN UNDERGROUND TUNNEL IMAGES USING MACHINE LEARNING TECHNIQUES
Author Name(s): Swathi Ramesh, Nikitha Maria James, Riya John, Shaheez K S, Divya James
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f173-f176
Year: June 2021
Downloads: 1032
Crack has an important role within the field of evaluating the standard of concrete structures, which affects the applicability, and sturdiness of the structure. Cracks on the surface of concrete structures like tunnels indicate the strength and durability of that structure. Hence it is required that these cracks be found as early as possible so that maintenance can be done. Thus, there is a need for new and efficient crack detection methods. In secure tunnel crack detection system using machine learning, tunnel surface images are obtained and are then encrypted. These images are then pre-processed and classified into cracks and no cracks classes using transfer learning technology of Inception v3 neural network model. The model achieved an excellent accuracy of 0.998, precision of 0.989, recall of 0.989 and fscore of 0.989
Licence: creative commons attribution 4.0
Crack, Inception V3, Secure Tunnel Crack, Homomorphic Encryption, Transfer.
Paper Title: RESEARCH PAPER ON PREPARATION OF ZSM-5 CATALYST
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106607
Register Paper ID - 209167
Title: RESEARCH PAPER ON PREPARATION OF ZSM-5 CATALYST
Author Name(s): Namdev C. Chougule, Pranali M Bhakare, K. T. Jadhav
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f169-f172
Year: June 2021
Downloads: 1068
Licence: creative commons attribution 4.0
ZSM-5, Calcinations, Complex production, Crystallinity
Paper Title: COMPARISON OF FINGER PRINT PATTERNS WITH AND WITHOUT ORAL SUBMUCOUS FIBROSIS-A DERMATOGLYPHICS STUDY.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106606
Register Paper ID - 208809
Title: COMPARISON OF FINGER PRINT PATTERNS WITH AND WITHOUT ORAL SUBMUCOUS FIBROSIS-A DERMATOGLYPHICS STUDY.
Author Name(s): Dr.Chaitali Sarwade, Dr.Vishwas Kadam, Dr.Lata Kale, Dr.Sonia Sodhi, Dr.Gauri Sanpurkar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f163-f168
Year: June 2021
Downloads: 1107
TITLE COMPARISON OF FINGER PRINT PATTERNS IN PATIENTS WITH AND WITHOUT ORAL SUBMUCOUS FIBROSIS-A DERMATOGLYPHICS STUDY Introduction- The introduction of chewing tobacco containing areca nut into the market has led to a sharp increase in the frequency of OSMF. Henceforth, present study was undertaken to find out any correlation of dermatoglyphic parameters with Oral Submucous fibrosis which could act as a useful tool in assessing the risk of OSMF in gutka chewers. Material and methods: The present cross-sectional study comprised of 60 subjects, 30 patients with and 30 patients without Oral Submucous fibrosis with history of gutka chewing since past 10 years. Fingerprints were taken using Camel ink on an A4 white paper by using ink and paper method which were studied for the pattern. atd angles were measured in both hands and mean standard deviation calculated. Chi square test was applied with p-value<0.05 considered as significant value. Results: The present study found decrease in arches pattern, radial loop pattern, and whorl pattern and atd angle in patients with OSMF. Conclusion: Palmar Dermatoglyphic can foretell the probability of occurrence of OSMF which can help in screening of gutka chewers to identify susceptible persons and can recognize a person in the prefibrosis stage.
Licence: creative commons attribution 4.0
Keywords:Dermatoglyphics;Fingerprints;OSMF
Paper Title: DIFFERENT PHASES AND DEVELOPMENT OF MINIATURE PAINTINGS IN INDIA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106605
Register Paper ID - 208988
Title: DIFFERENT PHASES AND DEVELOPMENT OF MINIATURE PAINTINGS IN INDIA
Author Name(s): Ms.Spardha
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f157-f162
Year: June 2021
Downloads: 1115
Licence: creative commons attribution 4.0
Culture, Color, Miniature, History, Development, India, Painting
Paper Title: UTILIZATION OF BANANA PEEL POWDER IN CONCRETE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106604
Register Paper ID - 209033
Title: UTILIZATION OF BANANA PEEL POWDER IN CONCRETE
Author Name(s): Rahul Mohabe, G.D. Dhavale, R.K.Kakpure
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f153-f156
Year: June 2021
Downloads: 1108
Licence: creative commons attribution 4.0
green; Compressed Block (CB); Green- Compressed ... Portland Cement (OPC), and banana fibers.
Paper Title: EFFECT OF SUPER ABSORBENT POLYMER ON STRENGTH OF CONCRETE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106603
Register Paper ID - 209150
Title: EFFECT OF SUPER ABSORBENT POLYMER ON STRENGTH OF CONCRETE
Author Name(s): Ashish kumar, Keshav Mishra
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f146-f152
Year: June 2021
Downloads: 1115
SAP (Super Absorbent polymer) is one of the smart materials with a great scope in civil engineering. SAP can effect the concrete in various ways and aspects like crack, shrinkage, tensile strength and compressive strength. In this study we are going to study the effect of SAP on the strength of concrete mainly and other aspects too. The name of the SAP we will be studying about is Sodium Polyacrylate. The main function of SAP is that it acts as an internal water source which also can be called as internal curing agent plays vital role in the after final setting time of the cement .SAP also imparts some extra voids as it forms gel with water and decreases the strength of concrete . It replaces super plasticizers and also works as a plasticizer to some extent itself. In this study we will concentrate on the effect of SAP on fresh as well as hardened concrete to determine its strength when itmis subjected to various loading conditions
Licence: creative commons attribution 4.0
concrete strength, curing, gel, super absorbent polymer
Paper Title: WEB BASED PAYROLL MANAGEMENT SYSTEM
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106602
Register Paper ID - 209142
Title: WEB BASED PAYROLL MANAGEMENT SYSTEM
Author Name(s): Dr.S.Sai Kumar, Dr.G.Lakshmi
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f141-f145
Year: June 2021
Downloads: 1147
Licence: creative commons attribution 4.0
Human Resource Management, Internet
Paper Title: CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106601
Register Paper ID - 209100
Title: CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Author Name(s): Amritansh shrivastava, Sachin kumar singh, Saurav kumar, Shivendu kumar, Kiran bidua
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f137-f140
Year: June 2021
Downloads: 1087
Scam using a credit card is a simple and convenient case. E-commerce and many other paid internet sites have increased their online modes of operation, which increases the risk of online fraud. As the rate of fraud has increased, researchers have begun to use a variety of techniques used to train fraud detection and analysis in online transactions. The main goal is to project, develop and develop a new fraud detection method Streaming data about operations that are aimed at detailed analysis of the most recent customer operations and extracting data about people's behavior. This work was carried out by a dataset of credit card transactions entering the EU, a card containing 284,807 operations. In this project, we used an algorithm in an isolated forest for the purpose of classifying an observation. As a result, the model allows sample training to classify test select. Therefore, once the model is trained, we had to draw in the accuracy of the results obtained
Licence: creative commons attribution 4.0
credit card,fraud detection,random forest,decision trees
Paper Title: HR STRATEGIES TO IMPROVE EFFECTIVENESS OF REMOTE WORKING OF EMPLOYEES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106600
Register Paper ID - 209101
Title: HR STRATEGIES TO IMPROVE EFFECTIVENESS OF REMOTE WORKING OF EMPLOYEES
Author Name(s): Dr. Charu Rawat, Azmat Ali Shah
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f134-f136
Year: June 2021
Downloads: 1082
The worldwide COVID 19 pandemic has changed individual lives, entire economies, functioning of governments and organizations. This has suddenly popularized remote working which has been in existence for more than two decades but recently only became the main mode of working, due to complete lockdowns. Remote working comes with its own advantages and also disadvantages like security issue and employees having to adjust to the new way of working, more database management and much more. With this came the challenge of improving the effectiveness of remote workers and achieve employee engagement to not to compromise with productivity of the organization and thereby the functioning of the economy. This paper aims at identifying the benefits of remote working, the challenges faced in remote working and how to overcome those challenges.
Licence: creative commons attribution 4.0
Keywords: Remote Working, COVID 19, Employee Engagement
Paper Title: CONFINED MASONRY STRUCTURE
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106599
Register Paper ID - 208969
Title: CONFINED MASONRY STRUCTURE
Author Name(s): Aminullah Mastor, Mahendra Kumar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f124-f133
Year: June 2021
Downloads: 1113
Licence: creative commons attribution 4.0
Masonry, Nonlinear Analysis, B&H Residential Masonry Buildings, Pushover, Time- History Analysis
Paper Title: INDUSTRIAL SICKNESS IN INDIA- AN OVERVIEW
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106598
Register Paper ID - 209066
Title: INDUSTRIAL SICKNESS IN INDIA- AN OVERVIEW
Author Name(s): Fatima Diana Meril A
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f119-f123
Year: June 2021
Downloads: 1211
Licence: creative commons attribution 4.0
Paper Title: TEACHERS` AND STUDENTS` PERCEPTION TOWARDS COOPERATIVE LEARNING IN ENGLISH CLASSROOM: THE CASE OF HAWARIYAT GENERAL SECONDARY AND PREPARATORY SCHOOL
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106597
Register Paper ID - 209065
Title: TEACHERS` AND STUDENTS` PERCEPTION TOWARDS COOPERATIVE LEARNING IN ENGLISH CLASSROOM: THE CASE OF HAWARIYAT GENERAL SECONDARY AND PREPARATORY SCHOOL
Author Name(s): Dagninet Gebey Akalu, Dr.Joghee Senthilkumar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f106-f118
Year: June 2021
Downloads: 1188
Licence: creative commons attribution 4.0
Key words: perception, observation, learning principles, cooperative learning,
Paper Title: PHYSICAL LAYER PERFORMANCE SIMULATOR FOR WI-FI HALOW SYSTEMS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106596
Register Paper ID - 209097
Title: PHYSICAL LAYER PERFORMANCE SIMULATOR FOR WI-FI HALOW SYSTEMS
Author Name(s): Srividhya Sekar. C, Dinesha. P
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f102-f105
Year: June 2021
Downloads: 1084
Licence: creative commons attribution 4.0
Wireless Communication, IEEE 802.11, Wi-Fi, IoT.
Paper Title: MULTIHOP D2D COMMUNICATION TO MINIMIZE & BALANCE SAR IN 5G
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106595
Register Paper ID - 209089
Title: MULTIHOP D2D COMMUNICATION TO MINIMIZE & BALANCE SAR IN 5G
Author Name(s): Kushal J, Prof.Shahla Sohail
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f96-f101
Year: June 2021
Downloads: 1123
Licence: creative commons attribution 4.0
Paper Title: COMPARISON OF PNEUMONIA EVENTS AFTER EARLY AND DELAYED TRACHEOSTOMY IN SEVERE BRAIN INJURY PATIENTS SUPPORT WITH VENTILATOR
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106594
Register Paper ID - 207066
Title: COMPARISON OF PNEUMONIA EVENTS AFTER EARLY AND DELAYED TRACHEOSTOMY IN SEVERE BRAIN INJURY PATIENTS SUPPORT WITH VENTILATOR
Author Name(s): Arief Hartanto Simatupang, Sahudi, Heru Purwanto
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f86-f95
Year: June 2021
Downloads: 1226
Licence: creative commons attribution 4.0
tracheostomy, pneumonia, severe brain injury
Paper Title: HUMAN ACTIVITY RECOGNITION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106592
Register Paper ID - 209096
Title: HUMAN ACTIVITY RECOGNITION
Author Name(s): Sooryagayathri Nair, Aditi Ravichandra
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f75-f78
Year: June 2021
Downloads: 1073
Human activity recognition has turn out to be a study region of great attentiveness because of its variety important and advanced applications, comprising automated observation. During current situation the complete and detailed examination has been carried out regarding the growth it has taken place in this area. The proposed system aims an arrangement that can be used for the purpose of surveillance and observing applications. In this paper a part of inventive human action recognitions for video surveillance using image data set is presented. The customary investigation camera system involves humans to watch the cameras for 24/7 which are weirdly unproductive and elegant. Therefore, this paper will make availability for the required inspiration for categorizing act efficiently in present. This project helps in the recognition of moderate human activity using image processing techniques.
Licence: creative commons attribution 4.0
Fully Convolutional Network, CNN Architecture, computer vision, deep learning, manufacturing, safety, Activity.
Paper Title: GRID-CONNECTED WIND-PHOTOVOLTAIC COGENERATION USING BACK-TO-BACK VOLTAGE SOURCE CONVERTERS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106591
Register Paper ID - 209133
Title: GRID-CONNECTED WIND-PHOTOVOLTAIC COGENERATION USING BACK-TO-BACK VOLTAGE SOURCE CONVERTERS
Author Name(s): Mr. Chintala Sanjeev, E Sai Lohit, P Lakshmi Prasanna, A Supriya
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: f70-f74
Year: June 2021
Downloads: 1136
Licence: creative commons attribution 4.0
AC-DC power converters, DC-AC power converters, maximum power point trackers, permanent magnet machines, solar power generation, wind power generation
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)