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: WEBSITES OF CENTRAL AND DEEMED UNIVERSITIES IN MADHYA PRADESH: A WEBOMETRIC STUDY
Author Name(s): BINU MEHROTRA, DR. RAKESH KHARE
Published Paper ID: - IJCRT2104641
Register Paper ID - 206575
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104641 and DOI :
Author Country : Indian Author, India, 462042 , Bhopal, 462042 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104641 Published Paper PDF: download.php?file=IJCRT2104641 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104641.pdf
Title: WEBSITES OF CENTRAL AND DEEMED UNIVERSITIES IN MADHYA PRADESH: A WEBOMETRIC STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5401-5408
Year: April 2021
Downloads: 1600
E-ISSN Number: 2320-2882
Webometric is measuring the websites, webpages, parts of webpages, words in webpages, link structure, web search engine results. This study examines 02 Central Universities and 03 Deemed Universities of Madhya Pradesh . Investigate Domains distribution of websites, analyze number of webpages and link pages and calculate the self link web impact factor, External link web impact factor and Revised web impact factor for Central Universities and Deemed Universities in Madhya Pradesh and Rank the websites as per the web impact factor.
Licence: creative commons attribution 4.0
Central University, Deemed University websites Madhya Pradesh, website Analysis, Link Analysis, Internal Link, External Link, In Link, Web Impact Factor.
Paper Title: SEGMENTED ENERGY STORAGE MANAGEMENT
Author Name(s): Mr.C. Arulkumar, M. Jayabharathi, S. Kowshika, M. Manasha, D. Dyana Mary
Published Paper ID: - IJCRT2104640
Register Paper ID - 206555
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104640 and DOI :
Author Country : Indian Author, India, 637503 , namakkal, 637503 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104640 Published Paper PDF: download.php?file=IJCRT2104640 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104640.pdf
Title: SEGMENTED ENERGY STORAGE MANAGEMENT
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5392-5400
Year: April 2021
Downloads: 1596
E-ISSN Number: 2320-2882
The segmented energy storage management (SES) is the current and typical solution of smoothing renewable power generation fluctuations. An SES based hybrid power systems require a suitable control strategy that can effectively utilize the maximum power output and battery state of charge (SOC). Proposed system presents the efficiency of a wind/photovoltaic (PV) hybrid power system simulation analysis undertaken to improve the smoothing performance of wind/ PV/BESS hybrid power generation and the effectiveness of battery SOC control. A smoothing control method for reducing wind/PV hybrid output power fluctuations and regulating battery SOC under the typical conditions is proposed. A real-time SES based power allocation method also is proposed.
Licence: creative commons attribution 4.0
Hybrid power, segmented energy storage & state of charge
Paper Title: INTELLIGENT SALES PREDICTION USING MACHINE LEARNING
Author Name(s): Taman Poojary, Ismail Pawaskar, Deepak Ramchandani, Nikita Lemos
Published Paper ID: - IJCRT2104639
Register Paper ID - 206552
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104639 and DOI :
Author Country : Indian Author, India, 400101 , Mumbai, 400101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104639 Published Paper PDF: download.php?file=IJCRT2104639 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104639.pdf
Title: INTELLIGENT SALES PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5385-5391
Year: April 2021
Downloads: 1617
E-ISSN Number: 2320-2882
Intelligent Decision Analytical System requires combination of decision exploration and prediction. The greater part of the business associations intensely rely upon an information base also, request expectation of deals patterns. The precision in deals figure gives a major effect in business. Pattern Analytical System and Data Mining techniques are powerful tools that helps in removing covered up information from a huge dataset to upgrade exactness and productivity of estimating. Traditional prediction frameworks are hard to manage the enormous information and exactness of sales measure. Valuable metals like diamonds and gold are sought after because of their financial prizes. In this manner, different methods are commonly utilized to estimate costs of jewels and valuable metals with the point of quick and precise outcomes. The costs vacillate day by day making it hard to predict the next future worth. Subsequently, by analyzing the example of past costs we can apply relapse models for future expectation. This paper targets forecasting the future costs of valuable metals like diamond, utilizing various machine learning techniques, intending to get the most precise consequence of all. Group models are utilized for expanding the exactness of costs.
Licence: creative commons attribution 4.0
achine Learning, Prediction, Data Mining, Analytics, Estimation, Pattern.
Paper Title: ASSESSMENT OF NUTRITIONAL CONTENT OF THE PEEL OF SOLANUM TUBEROSUM
Author Name(s): Dr. Urmila Sarkar, Sensei Surendra Sawardekar
Published Paper ID: - IJCRT2104638
Register Paper ID - 206541
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104638 and DOI :
Author Country : Indian Author, India, 400013 , MUMBAI, 400013 , | Research Area: Biological Science Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104638 Published Paper PDF: download.php?file=IJCRT2104638 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104638.pdf
Title: ASSESSMENT OF NUTRITIONAL CONTENT OF THE PEEL OF SOLANUM TUBEROSUM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Biological Science
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5381-5384
Year: April 2021
Downloads: 1496
E-ISSN Number: 2320-2882
Solanum tuberosum belonging to family Solanaceae is one of the most widely consumed vegetable food in the world. This special fruit vegetable is known to contain many nutritional benefits for its consumption. The fruit is commonly called to be a potato. However, in recent years the fruit is often used in many cooking receipe. Many a time the fruit is peeled off during a cooking process. While many literature surveys projects on the importance of the potato peel enriched in nutritional benefits for its consumption. The current research experiment is carried out to study the nutritional importance of the potato peel. The research experimentation carried out for assessing of nutritional elements such as Protein, carbohydrate, fats, fibres, ash and moisture gives successful results in terms of its richness beneficial for the health if consumed rather discarding it during cooking time.
Licence: creative commons attribution 4.0
nutritional importance, potato peel, Solanum tuberosum.
Paper Title: SURVEY ON TREATMENT OF DENGUE, MALARIA AND JAUNDICE BY TINOSPORA CORDIFOLIA (GILOY)
Author Name(s): Vasundra Vijay Bhat, Aanchal Srivastav, Sayani Hajra, Randika Deshan Wickramarachchi
Published Paper ID: - IJCRT2104637
Register Paper ID - 206540
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104637 and DOI :
Author Country : Indian Author, India, 144001 , Jalandhar, 144001 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104637 Published Paper PDF: download.php?file=IJCRT2104637 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104637.pdf
Title: SURVEY ON TREATMENT OF DENGUE, MALARIA AND JAUNDICE BY TINOSPORA CORDIFOLIA (GILOY)
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5375-5380
Year: April 2021
Downloads: 1508
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Paper Title: OBJECT SORTING BY ROBOTIC ARM USING IMAGE PROCESSING
Author Name(s): Bhakti Basutkar, Piyush Kotwal, Krishna Sonawane, Dr. Shankar Patil
Published Paper ID: - IJCRT2104636
Register Paper ID - 206534
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104636 and DOI :
Author Country : Indian Author, India, 400012 , Mumbai, 400012 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104636 Published Paper PDF: download.php?file=IJCRT2104636 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104636.pdf
Title: OBJECT SORTING BY ROBOTIC ARM USING IMAGE PROCESSING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5364-5374
Year: April 2021
Downloads: 1545
E-ISSN Number: 2320-2882
Currently, this is the time where the world is moving towards innovation and, considering this every company is trying to develop their production rate to compete with this era of growing technology. In Older days there were many issues for finding an appropriate person for doing a skillful task, who can handle all machinery as well as sort the final product. Due to this, the production rate was very slow as compared to the current situation. Anyway, handling the final product and sorting issues are generally affecting the production rate and revenue of the business because of more sorting time. A huge number of large-scale and small-scale companies follow the old pattern of sorting of an end product. Considering ancient techniques for sorting of final product consist various of issues subsequently "Object Sorting Robotic Arm " is an efficient way to get a solution of this issue. This technique provides a low-cost methodology for quick and faster sorting and detection of products that continuously take place. The sorting of products with an automated system is an appropriate technique to improve the current technique of sorting end products. The system consists of four interconnected halts which include recognizing an object, handling of product, decision making, and placing the product at the designated place. The System manages a programmed material dealing with end products. It points to grouping similar objects by color and shape, that are drawing close to the transport by choosing an appropriate article and placing it in its pre-customized place. Consequently halting the work done by humans and accomplishing precision and speed inside the work.
Licence: creative commons attribution 4.0
shape, color, object, robotic arm, categorizing, segregate, conveyor belt.
Paper Title: ADDITION OF WHEY PROTEIN CONCENTRATE IN BISCUITS AND COOKIES
Author Name(s): Chahatdeep Singh, Harmanjot Singh, Ashwin Rajesh, Kanhaiya S Chaudhary
Published Paper ID: - IJCRT2104635
Register Paper ID - 206538
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104635 and DOI :
Author Country : Indian Author, India, 144411 , PHAGWARA, 144411 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104635 Published Paper PDF: download.php?file=IJCRT2104635 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104635.pdf
Title: ADDITION OF WHEY PROTEIN CONCENTRATE IN BISCUITS AND COOKIES
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5347-5363
Year: April 2021
Downloads: 1600
E-ISSN Number: 2320-2882
Whey is concentrated to produce different types of whey protein products such as whey protein concentrates (WPC) .Whey proteins contain protein contents from 25- 89% and contains 162 amino acid residues consisting of the nine essential amino acids primarily consisting of ?- lactoglobulin (BLG), ?-lactalbumin (?-LA), bovine serum albumin (BSA) immunoglobulins . Lipid found in WPC is highly enriched in phospholipids. As the concentration of protein in WPC expands, the lactose concentration diminishes. The temperature is inversely proportional to the solubility of whey protein. The sodium caseinate present in it is proficient in absorbing water Whereas the gel formation occurs after the unfolding of the protein chains. The nutritional effect of addition of whey protein concentrate include the rise in the amount of proteins, carbohydrates and minerals whereas the fats and moisture content is found to be decreased. The total plate count and fungal count was found within the limit during microbiological evaluation . the aim of this paper is to study the effect of addition of WPC on the cookies and its possible application in the bakery industry.
Licence: creative commons attribution 4.0
Paper Title: SMART REINFORCEMENT LEARNING ALGORITHMS WITH CONTROLLED COMPLEXITY USING SEGMENTED AND RECURSIVE METHODOLOGY
Author Name(s): Modalavalasa Hari Krishna, Makkena Madhavi Latha
Published Paper ID: - IJCRT2104634
Register Paper ID - 206533
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104634 and DOI :
Author Country : Indian Author, India, 500085 , Hyderabad, 500085 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104634 Published Paper PDF: download.php?file=IJCRT2104634 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104634.pdf
Title: SMART REINFORCEMENT LEARNING ALGORITHMS WITH CONTROLLED COMPLEXITY USING SEGMENTED AND RECURSIVE METHODOLOGY
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5338-5346
Year: April 2021
Downloads: 1490
E-ISSN Number: 2320-2882
Machine Learning algorithms play very crucial role in decision automation process of Artificial Intelligent systems. Machine Learning algorithms learn from the hidden structures present inside the data without the need of any traditional programming. Many advanced algorithms are developed for Machine Learning to handle complex datasets. These algorithms provide better performance but require huge amount of training time. This requirement of huge training time is manageable in Supervised and Unsupervised Machine Learning algorithms as their models are trained before deploying them into application. But, in Reinforcement learning, the effect of huge training time is very significant problem as their models are trained after deploying them into application environment. To solve this problem, new Reinforcement algorithms with controlled complexity need to be developed without compromising the performance of the model. This paper aims at four new Reinforcement Learning algorithms with controlled complexity to reduce the training time. The proposing algorithms are developed using MATLAB software and validated by employing them for automated parameter tuning in image denoising technique using Double Density Dual-tree Discrete Wavelet Transform. These proposing algorithms are compared against standard Markov Decision Process based Reinforcement Algorithm in terms of model accuracy and model training times
Licence: creative commons attribution 4.0
Complexity Controlled Learning, Double Density Dual-tree Discrete Wavelet Transform, Intelligent parameter tuning, Hybrid Thresholding, Segmented Recursive Reinforcement Learning, Segmented Adaptive Reinforcement Learning
Paper Title: EMOTIONAL MATURITY OF SPECIALLY ABLED STUDENTS AND NORMAL STUDENTS-A COMPARATIVE STUDY
Author Name(s): Dr. Gururaja CS, V. Narayanaswamy
Published Paper ID: - IJCRT2104633
Register Paper ID - 206528
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104633 and DOI : http://doi.one/10.1729/Journal.26709
Author Country : Indian Author, India, 560052 , Bengaluru, 560052 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104633 Published Paper PDF: download.php?file=IJCRT2104633 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104633.pdf
Title: EMOTIONAL MATURITY OF SPECIALLY ABLED STUDENTS AND NORMAL STUDENTS-A COMPARATIVE STUDY
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.26709
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5334-5337
Year: April 2021
Downloads: 1558
E-ISSN Number: 2320-2882
This paper accentuates on various types of students, especially specially abled students and normal students. Among adolescents some students are rebelliousness and experimentations are common. However, a few students repeatedly participate in problematic behaviours that affects their academic, personal and social functioning. This concept is in harmony with the modern democratic ideas which seek finest development by providing suitable educational amenities to all students. Special issues which are related to specially abled students and normal students are discussed in this paper. This study aims to find out difference among specially abled students and normal students in relation to emotional maturity. The normative survey method was used to compare the Emotional Maturity of specially abled students and normal students. The present study was conducted with 50 students (25 specially abled students and 25 normal students) measured by using emotional maturity scale developed by Dr. Mahesh Bhargava and Dr. Yashveer singh. On the basis of analysis and interpretation of data, it is concluded that normal students have higher emotional maturity than the specially abled students.
Licence: creative commons attribution 4.0
Emotional Maturity, Specially abled students, Normal students
Paper Title: PATROLLING ROBOT FOR COLLEGE SECURITY SURVEILLANCE
Author Name(s): Tejaswini Mane, Rohini Dabade, Kajal Ghadge, Sonali N. Mhatre
Published Paper ID: - IJCRT2104632
Register Paper ID - 206526
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2104632 and DOI :
Author Country : Indian Author, India, 400074 , Mumbai, 400074 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2104632 Published Paper PDF: download.php?file=IJCRT2104632 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2104632.pdf
Title: PATROLLING ROBOT FOR COLLEGE SECURITY SURVEILLANCE
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 4 | Year: April 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 4
Pages: 5329-5333
Year: April 2021
Downloads: 1523
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Raspberry pi, Internet of things, surveillance, security and patrol.

