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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 10 | Issue 12 |

Volume 10 | Issue 12 | Month  
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  Paper Title: SKIN CLEANSING BEADS: COMPARATIVE STUDY OF β-GLUCAN FROM DIFFERENT SOURCES FOR THE PRODUCTION OF A HEALTHY SKIN CLEANSING COSMETIC PRODUCT.

  Author Name(s): Shivi Sharma, Shivangi Chauhan, Pratima Yadav, Amit Mishra

  Published Paper ID: - IJCRT2212209

  Register Paper ID - 228766

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212209 and DOI :

  Author Country : Indian Author, India, Agra-282010 , Agra, Agra-282010 , | Research Area: Health Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212209
Published Paper PDF: download.php?file=IJCRT2212209
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212209.pdf

  Your Paper Publication Details:

  Title: SKIN CLEANSING BEADS: COMPARATIVE STUDY OF β-GLUCAN FROM DIFFERENT SOURCES FOR THE PRODUCTION OF A HEALTHY SKIN CLEANSING COSMETIC PRODUCT.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Health Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: c49-c58

 Year: December 2022

 Downloads: 159

  E-ISSN Number: 2320-2882

 Abstract

The present invention relates to a semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes, wherein the brittle material of the beads is ruptured by force by an individual performing a skin hygiene process so that the fragile substance can store the active ingredient until the active ingredient is immediately released from the storage state. The ?-glucan and omega 3 are obtained from barley seed and flaxseed. Production of skin cleansers for improving the skin contour by restoring youthful mechanical properties of the skin. More particularly, it relates to semi-solid composition in the form of cleansing beads comprising ?-glucan, omega 3 and vitamin C for use in skin hygiene processes.


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  Paper Title: AYURVEDIC APPROACH IN THE MANAGEMENT OF JANUSANDHIGATAVATA ASSOCIATED WITH STHOULYA - A CASE STUDY

  Author Name(s): Dr.Chaitali Tarwate, Dr.Rushali Thakur, Dr.Satish Urhe., Dr.Roshan Dhale

  Published Paper ID: - IJCRT2212208

  Register Paper ID - 228763

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212208 and DOI :

  Author Country : Indian Author, India, 422403 , NASHIK, 422403 , | Research Area: Health Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212208
Published Paper PDF: download.php?file=IJCRT2212208
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212208.pdf

  Your Paper Publication Details:

  Title: AYURVEDIC APPROACH IN THE MANAGEMENT OF JANUSANDHIGATAVATA ASSOCIATED WITH STHOULYA - A CASE STUDY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Health Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C47-C48

 Year: December 2022

 Downloads: 196

  E-ISSN Number: 2320-2882

 Abstract

There are so many reasons for pain, the most common cause of joint pain often affecting the middle age and older age people is sandhigatvata. The main symptoms of sandhigatvata are pain, stiffness, swelling, and crepitus. It is mainly occurs due to the etiological factors which are classified as Dhatukshyjanya and Margavrodhjanya. Aging and obesity are the major risk factor of increased prevalence as the occurance of osteoarthiritis. In present study 46 yr female having 88kg complaining of Janusandhishool, Kriyakashtata, Shoth, Malavshtambh was diagnosed as Upstambit Janusandhigatvata. The Ayurvedic drug combination which include Trifala guggul, Bhallatakasav, Medohar guggul, along with Panchakarma Procedure which includes Lekhan Basti, Taildhara of Chandanbala Lakshadi Tail, etc was given for 15 days to manage Upstambhit Janusandhigatvata


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 Keywords

Janusandhigatvata, Osteoarthritis, Lekhan basti,sthoulya

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  Paper Title: ANTI-CASTE MOVEMENTS AND SOCIAL CHANGE IN KERALA: THE ROLE OF REFORMERS AND THEIR ORGANIZATIONS.

  Author Name(s): Ajitha.M.U

  Published Paper ID: - IJCRT2212207

  Register Paper ID - 228758

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212207 and DOI :

  Author Country : Indian Author, India, 680504 , Thrissur, 680504 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212207
Published Paper PDF: download.php?file=IJCRT2212207
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212207.pdf

  Your Paper Publication Details:

  Title: ANTI-CASTE MOVEMENTS AND SOCIAL CHANGE IN KERALA: THE ROLE OF REFORMERS AND THEIR ORGANIZATIONS.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C43-C46

 Year: December 2022

 Downloads: 465

  E-ISSN Number: 2320-2882

 Abstract

Caste system is a special phenomenon seen only in India .The racial discrimination started in India when the Aryans and the former inhabitants started living together as one community. Caste system in Kerala has not existed anywhere else as the Arya Brahmins invaded and gained all the power here, they created the caste system to keep the society completely united under their leadership. As the Brahmins gained spiritual ascendancy and increased influence in the social and political arenas Chaturvarnnya became an inviolable custom. The castes from Nair to Namboothiri treated as privileged class and they exploit all the castes below them A political section emerged here to support the Brahmins and protected the social and economic conditions of that time.


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 Keywords

Casteism, Untouchability, pollution, Community

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: IDENTIFICATION AND SYSTEMATIZATION OF SKIN DISEASES USING YOLOR

  Author Name(s): Harshitha P, Dr.K.R Shylaja

  Published Paper ID: - IJCRT2212206

  Register Paper ID - 228757

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212206 and DOI :

  Author Country : Indian Author, India, 562123 , Banglore, 562123 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212206
Published Paper PDF: download.php?file=IJCRT2212206
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212206.pdf

  Your Paper Publication Details:

  Title: IDENTIFICATION AND SYSTEMATIZATION OF SKIN DISEASES USING YOLOR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C37-C42

 Year: December 2022

 Downloads: 161

  E-ISSN Number: 2320-2882

 Abstract

Skin disease, one of the deadliest types of cancer is becoming more lethal as fewer people become aware of its symptoms and how to prevent it. The purpose of this research is to identify and classify using machine learning and image processing techniques to treat various types of skin cancer. In this effort, we created a pre-processing image. We modified the dataset, reduced the size of the images, and removed hairs from them in order to meet the requirements of each model. Using pre-trained ImageNet weights and tweaked convolution neural networks, the EfficientNet B0 skin ISIC dataset was trained.


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 Keywords

Disease Detection, Image Processing ,YOLOR, EfficientNet B0, Quantification

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  Paper Title: UNUSUAL CROWD ACTIVITY DETECTION

  Author Name(s): DHANYA K N, DR.SIDDARAJU

  Published Paper ID: - IJCRT2212205

  Register Paper ID - 228755

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212205 and DOI :

  Author Country : Indian Author, India, 573201 , HASSAN, 573201 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212205
Published Paper PDF: download.php?file=IJCRT2212205
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212205.pdf

  Your Paper Publication Details:

  Title: UNUSUAL CROWD ACTIVITY DETECTION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C30-C36

 Year: December 2022

 Downloads: 176

  E-ISSN Number: 2320-2882

 Abstract

Unusual human activity detection in crowded scenes. Suspicious behavior is hazardous in public settings and can result in significant casualties. Systems that detect motion or pedestrians have been developed using video frame collection, however even in real time, those systems lack the intelligence to spot unusual activity. To quickly and effectively manage a scamper issue before any casualties occur, it is necessary to spot scamper situations in real time via video monitoring. The proposed system focuses on identifying suspicious activity and aims to provide a technique that makes use of computer vision to detect suspicious behavior automatically. The system in this instance makes use of the OpenCV library to instantly classify various activities. The examination of the motion regularly shifts the location between two locations has been represented by a motion influence map. Utilizing CNN and YOLO algorithm for real-time object detection.


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 Keywords

Unusual crowd activity detection, OpenCV, CNN, YOLO

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  Paper Title: MACHINE FAULT DETECTION WITH SOUND PATTERNS USING DEEP LEARNING

  Author Name(s): Ravi Kiran K V, Dr. Shamshekhar S. Patil

  Published Paper ID: - IJCRT2212204

  Register Paper ID - 228754

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212204 and DOI :

  Author Country : Indian Author, India, 560010 , Bangalore, 560010 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212204
Published Paper PDF: download.php?file=IJCRT2212204
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212204.pdf

  Your Paper Publication Details:

  Title: MACHINE FAULT DETECTION WITH SOUND PATTERNS USING DEEP LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C24-C29

 Year: December 2022

 Downloads: 191

  E-ISSN Number: 2320-2882

 Abstract

This study attempts to give the user the machine's operational condition while simultaneously detecting flaws or damage in big industrial machinery in real-time. However, due to the complexity of real-world systems and the clear presence of nonlinear elements, it is highly challenging to diagnose a machine malfunction using standard approaches based on mathematical models. A computer-aided diagnostic system with artificial intelligence (CADS-AI), which aids in early fault diagnosis, can resolve this issue. To assure that the CADS solution can be trusted, a machine failure detection system based on sound patterns is created in this study. The YAMNet Model classified the sounds as normal or abnormal with an accuracy of 78.31%. By using window inference on the audio file with a mean score, the predicted output was decoded. By using real-time audio input or uploading machine sounds to the system, the proposed solution can be inferred.


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 Keywords

Pattern Recognition, Machine Learning, Machine Fault Diagnosis, Audio Processing, Acoustic emission signals

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  Paper Title: FORMULATION & CHARACTERIZATION OF LIPSTICK BY USING HERBAL PIGMENTS

  Author Name(s): Sandip Vishvanath Phoke, Patil S. S., Pawar M.G, Rawat S. S., Hatkar A. D

  Published Paper ID: - IJCRT2212203

  Register Paper ID - 228728

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212203 and DOI :

  Author Country : Indian Author, India, 431203 , BAdnapur, 431203 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212203
Published Paper PDF: download.php?file=IJCRT2212203
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212203.pdf

  Your Paper Publication Details:

  Title: FORMULATION & CHARACTERIZATION OF LIPSTICK BY USING HERBAL PIGMENTS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C18-C23

 Year: December 2022

 Downloads: 203

  E-ISSN Number: 2320-2882

 Abstract


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Keywords: Herbal lipstick, Anthocyanin, Beta vulguris, Formulation, Evaluation.

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  Paper Title: A STUDY ON PROBLEMS FACED BY THE WOMEN ENTREPRENEURS

  Author Name(s): A.V.R. Karthikeyan, Dr. P. Balamurugan

  Published Paper ID: - IJCRT2212202

  Register Paper ID - 228666

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212202 and DOI :

  Author Country : Indian Author, India, 608001 , Annamalai Nagar , 608001 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212202
Published Paper PDF: download.php?file=IJCRT2212202
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212202.pdf

  Your Paper Publication Details:

  Title: A STUDY ON PROBLEMS FACED BY THE WOMEN ENTREPRENEURS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C11-C17

 Year: December 2022

 Downloads: 180

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Empowerment, Women Entrepreneur, Independent, Social Barriers, Environment, Gender

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  Paper Title: CLASSIFICATION OF BRAIN TUMOR USING FINETUNED EFFICIENTNET

  Author Name(s): BONI YAMINI YASODA, D.B.V JAGANNADHAM

  Published Paper ID: - IJCRT2212201

  Register Paper ID - 228658

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212201 and DOI :

  Author Country : Indian Author, India, 530008 , VISAKHAPATNAM, 530008 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212201
Published Paper PDF: download.php?file=IJCRT2212201
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212201.pdf

  Your Paper Publication Details:

  Title: CLASSIFICATION OF BRAIN TUMOR USING FINETUNED EFFICIENTNET

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: C1-C10

 Year: December 2022

 Downloads: 166

  E-ISSN Number: 2320-2882

 Abstract

Brain tumor is the growth of abnormal cells in brain some of which may leads to cancer. The usual method to detect brain tumor is Magnetic Resonance Imaging (MRI) scans. From the MRI images information about the abnormal tissue growth in the brain is identified. In various research papers, the detection of brain tumor is done by applying Machine Learning and Deep Learning algorithms. When these algorithms are applied on the MRI images the prediction of brain tumor is done very fast and a higher accuracy helps in providing the treatment to the patients. These Prediction also helps the radiologist in making quick decisions. In the proposed work, a self-defined Convolution Neural Network (CNN) is applied in detecting the presence of brain tumor and their performance is analyzed Efficient Network is one of CNN models that proposes high accuracy and less computational. Accordingly, this study suggested using the Efficient Network architecture to classify the types of glioma, meningioma, and pituitary brain tumours. Efficient Network has eight levels of category, which are from EfficientNet-B0 to EfficientNet-B7. This study obtains accuracy for best results in EfficientNet-B3 which achieved a accuracy of 97.34%.


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 Keywords

Image classification, Brain Tumor, EfficientNet

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  Paper Title: A REVIEW PAPER ON 5G WIRELESS NETWORKS IN IOT

  Author Name(s): MS. Neha singh, Palak saini, Deepali yadav, Manisha yadav

  Published Paper ID: - IJCRT2212200

  Register Paper ID - 228635

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2212200 and DOI :

  Author Country : Indian Author, India, 110006 , new delhi, 110006 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2212200
Published Paper PDF: download.php?file=IJCRT2212200
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2212200.pdf

  Your Paper Publication Details:

  Title: A REVIEW PAPER ON 5G WIRELESS NETWORKS IN IOT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 10  | Issue: 12  | Year: December 2022

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 10

 Issue: 12

 Pages: b744-b746

 Year: December 2022

 Downloads: 164

  E-ISSN Number: 2320-2882

 Abstract

We are surrounded by a world of electronics and fasting technologies and hence IoT is presently an emerging technology worldwide. The Internet of Things is a network of physical devices like (vehicles, home applications, and other objects) embedded with such devices (electronics, software, sensors, actuators, and network connectivity) that allows us to enable these objects/devices to connect and exchange data. Through internet they can be inter operated with each other. With the introduction of 5G wireless communication, the world of the internet has changed. 5G wireless technology helps to deliver higher multi-Gbps peak data speeds, more reliable, ultra-low latency, increased availability, huge massive network capacity, and more similar user advantages for more users. Higher performance and better efficiency provides better user experiences and connecting new industries through 5G. In this study, we provide a vision of IoT which will be the driving force behind the huge massive digital revolution in the future. The communication technologies and the architecture of 5G in IoT systems have been discussed in detail. In addition, we also indicated the profound challenges of current standard communication technologies in IoT and future research directions of IoT.


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 Keywords

IoT, 5G, 4G, Wifi, LoraWan, Bluetooth, Wifi Direct, Zigbee, architecture

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ISSN: 2320-2882
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