IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: A STUDY TO DETERMINE THE PREVALENCE OF ROAD TRAFFIC ACCIDENT IN CHILDREN AT SELECTED HOSPITALS.
Author Name(s): KOMALA H K, DR. PARAMJITH KAUR
Published Paper ID: - IJCRT2106617
Register Paper ID - 209090
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106617 and DOI :
Author Country : Indian Author, India, 571414 , B G NAGARA, NAGAMANGALA, 571414 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106617 Published Paper PDF: download.php?file=IJCRT2106617 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106617.pdf
Title: A STUDY TO DETERMINE THE PREVALENCE OF ROAD TRAFFIC ACCIDENT IN CHILDREN AT SELECTED HOSPITALS.
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f218-f220
Year: June 2021
Downloads: 1294
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Keywords: Accidents, Children, Education, Prevalence, Determine.
Paper Title: DESIGN AND DEVELOPMENT OF HOME AUTOMATION USING INTERNET OF THINGS
Author Name(s): Dr.B.V.Subba Rao, Dr.Y.Suresh, Dr.S.Sai Kumar
Published Paper ID: - IJCRT2106616
Register Paper ID - 209127
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106616 and DOI :
Author Country : Indian Author, India, 520007 , Vijayawada, 520007 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106616 Published Paper PDF: download.php?file=IJCRT2106616 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106616.pdf
Title: DESIGN AND DEVELOPMENT OF HOME AUTOMATION USING INTERNET OF THINGS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f214-f217
Year: June 2021
Downloads: 1411
E-ISSN Number: 2320-2882
Presently a day's mechanized frameworks are assuming control over manual framework. Home Automation framework utilizing IOT is a framework that utilizes PCs or advanced cells to control the essential home capacities and highlights utilizing web from anyplace around the globe. It is utilized to spare the power and human energy. Home robotization is the programmed control and checking of family apparatuses and private house highlights like TV, fans, lights, entryways, door and even the windows. Occasions can be customized to be set off under explicit conditions, (for example, contingent upon the sensors information), and this can be utilized in diminishing the absolute energy devoured by certain machines. Then again, the framework can propose shrewd undertaking booking. In the pervasive computing and ubiquitous computing entering into the picture it perform the task scheduling. In the real world scenario when a person enter into the room, they should turning on the lights. In advanced installations, room can be sensed and not only identify the person but also observes the lighting, temperature, day of the week, time of the day and other factors.
Licence: creative commons attribution 4.0
IoT, Raspberry Pi, Arduino, Bluetooth, Zigbee, GSM
Paper Title: THE VISION OF FUTURE: 5G
Author Name(s): YAWAR AZEEM BABA, APURV RANJAN, SWATI RAI, SANCHI GARG, Sunny Arora
Published Paper ID: - IJCRT2106615
Register Paper ID - 209196
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106615 and DOI :
Author Country : Indian Author, India, 190002 , Srinagar, 190002 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106615 Published Paper PDF: download.php?file=IJCRT2106615 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106615.pdf
Title: THE VISION OF FUTURE: 5G
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f207-f213
Year: June 2021
Downloads: 1267
E-ISSN Number: 2320-2882
As a result of consistent developments and improvements ever since the first- generation technology, we have moved to an optimal technology which is known as the Fifth-generation technology system. Although it is making the human generation more dependent but it is proving out to be much more advantageous in human lives. The primary purpose of the study in this paper is to explore the various 5G activities by reviewing a wide range of research projects, recent literature and 5G white papers from key players in the wireless technology. The intention is to help to understand what 5G is about and how different 5G initiatives aim at getting there. The Rising worldwide adoption of internet-enabled devices is expected to drive the industry. These include autonomous driving, distant learning, video conferencing & multi-user gaming, telemedicine, and opera live streaming. In this Research Paper we have talked about 5G, its application in Auto driven cars and Drones, Fog clouding, Security issues with 5G, Health effects and its expected performance.
Licence: creative commons attribution 4.0
5G, Wireless Technology,5G and Autonomous driving, 5G and Drones, Security issues of 5G, Health effects of 5G
Paper Title: FACIAL EMOTION RECOGNITION USING CNN
Author Name(s): Bhoomika N, Pushpalatha K N
Published Paper ID: - IJCRT2106614
Register Paper ID - 209106
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106614 and DOI :
Author Country : Indian Author, India, 562105 , Sidlaghatta, 562105 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106614 Published Paper PDF: download.php?file=IJCRT2106614 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106614.pdf
Title: FACIAL EMOTION RECOGNITION USING CNN
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f203-f206
Year: June 2021
Downloads: 1306
E-ISSN Number: 2320-2882
Facial expression recognition is a trending topic in most of the fields. In the proposed work, there are classification of human faces into 5 basic emotions takes place. The proposed work gives the technique of facial emotion recognition using convolutional neural network which is the goal of the work. The work is based on two parts convolutional network. The first section is the recognition of the emotion using database and the next part focuses on the facial features of the pictures using live video. The FERC is different from single level CNN, the improve of accuracy can be obtained. The FERC Facial emotion recognition can be useful in many applications such as driver alertness, lie detectors, etc.
Licence: creative commons attribution 4.0
CNN, Emotion recognition, Facial features
Paper Title: BUILDING AN IMAGE SEARCH ENGINE WITH DEEP LEARNING
Author Name(s): K.Praveen Kumar, V.Prakash Reddy, G.Indra karan reddy, N.S Ganesh
Published Paper ID: - IJCRT2106613
Register Paper ID - 209159
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106613 and DOI :
Author Country : Indian Author, India, 500047 , Hyderabad, 500047 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106613 Published Paper PDF: download.php?file=IJCRT2106613 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106613.pdf
Title: BUILDING AN IMAGE SEARCH ENGINE WITH DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f197-f202
Year: June 2021
Downloads: 1385
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Image, Image search, convolutional neural network, Feature vector, Artificial intelligence.
Paper Title: AUTOMATED AGRICULTURE ROBOT FOR EARLY STAGE PEST TREATMENT
Author Name(s): Panchavarthi Sujan, Koride Sumukh Bharadwaj, Uppalancha Vishnuja, Kumara Swamy Varkuti
Published Paper ID: - IJCRT2106612
Register Paper ID - 209186
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106612 and DOI : http://doi.one/10.1729/Journal.27400
Author Country : Indian Author, India, 503001 , Nizamabad, 503001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106612 Published Paper PDF: download.php?file=IJCRT2106612 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106612.pdf
Title: AUTOMATED AGRICULTURE ROBOT FOR EARLY STAGE PEST TREATMENT
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27400
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f193-f196
Year: June 2021
Downloads: 1279
E-ISSN Number: 2320-2882
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
Author Name(s): Yogesh Pathak, Dinesh Dhongade, Priyanka Shinde, Chandrakant Bobade
Published Paper ID: - IJCRT2106610
Register Paper ID - 209146
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106610 and DOI : http://doi.one/10.1729/Journal.27468
Author Country : Indian Author, India, 415 311 , Vita, 415 311 , | Research Area: Physics All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106610 Published Paper PDF: download.php?file=IJCRT2106610 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106610.pdf
Title: INNOVATIVE TECHNIQUE FOR MEASUREMENT OF HEAT RATE OF METAL AND ALLOY
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27468
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Physics All
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f182-f186
Year: June 2021
Downloads: 1338
E-ISSN Number: 2320-2882
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
Author Name(s): Janmejoy Kar, Manish Kumar, Dipali Dhake, Gayatri Palde, Umakant Mandawkar
Published Paper ID: - IJCRT2106609
Register Paper ID - 209183
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106609 and DOI : http://doi.one/10.1729/Journal.28107
Author Country : Indian Author, India, 759147 , Angul, 759147 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106609 Published Paper PDF: download.php?file=IJCRT2106609 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106609.pdf
Title: DETECTION OF TRAFFIC SIGNS BY CONVOLUTIONAL NEURAL NETWORK USING SEQUENTIAL API
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.28107
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f177-f181
Year: June 2021
Downloads: 1301
E-ISSN Number: 2320-2882
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
Author Name(s): Swathi Ramesh, Nikitha Maria James, Riya John, Shaheez K S, Divya James
Published Paper ID: - IJCRT2106608
Register Paper ID - 209163
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106608 and DOI : http://doi.one/10.1729/Journal.27399
Author Country : Indian Author, India, 682304 , Ernakulam, 682304 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106608 Published Paper PDF: download.php?file=IJCRT2106608 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106608.pdf
Title: A SECURE FRAMEWORK FOR CRACK DETECTION IN UNDERGROUND TUNNEL IMAGES USING MACHINE LEARNING TECHNIQUES
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27399
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f173-f176
Year: June 2021
Downloads: 1290
E-ISSN Number: 2320-2882
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
Author Name(s): Namdev C. Chougule, Pranali M Bhakare, K. T. Jadhav
Published Paper ID: - IJCRT2106607
Register Paper ID - 209167
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2106607 and DOI :
Author Country : Indian Author, India, 416507 , Kolhapur, 416507 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106607 Published Paper PDF: download.php?file=IJCRT2106607 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106607.pdf
Title: RESEARCH PAPER ON PREPARATION OF ZSM-5 CATALYST
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 6 | Year: June 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 6
Pages: f169-f172
Year: June 2021
Downloads: 1330
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
ZSM-5, Calcinations, Complex production, Crystallinity

