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: RASHTRIY ADHYAPAK SHIKSHA PARISHAD V NAVACHAR
Author Name(s): Dr. Devki Nandan Sharma
Published Paper ID: - IJCRT22A6213
Register Paper ID - 221427
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6213 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6213 Published Paper PDF: download.php?file=IJCRT22A6213 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6213.pdf
Title: RASHTRIY ADHYAPAK SHIKSHA PARISHAD V NAVACHAR
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b658-b661
Year: June 2022
Downloads: 654
E-ISSN Number: 2320-2882
RASHTRIY ADHYAPAK SHIKSHA PARISHAD V NAVACHAR
Licence: creative commons attribution 4.0
RASHTRIY ADHYAPAK SHIKSHA PARISHAD V NAVACHAR
Paper Title: DIFFERENTLY ABLED WOMEN ENTREPRENEURS OF MUMBAI
Author Name(s): RESHMA JAISINGHANI, HARDIKA DOSHI, Prakriti Ahuja
Published Paper ID: - IJCRT22A6212
Register Paper ID - 221398
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6212 and DOI : http://doi.one/10.1729/Journal.30567
Author Country : Indian Author, India, 421301 , Kalyan, ,(w), 421301 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6212 Published Paper PDF: download.php?file=IJCRT22A6212 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6212.pdf
Title: DIFFERENTLY ABLED WOMEN ENTREPRENEURS OF MUMBAI
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.30567
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b651-b657
Year: June 2022
Downloads: 556
E-ISSN Number: 2320-2882
Entrepreneurship is not only for one strata of the society. People with disabilities are starting their own ventures and becoming independent. This study is based on the Women Entrepreneurs with disabilities in the city of Mumbai. This study focusses on how differently abled women entrepreneurs have faced the challenges and have become successful in starting their own venture. This paper is a case study of 5 differently abled women entrepreneurs giving details of how they started, what is their venture and how they have overcome their disability. It is recommended that if differently abled women entrepreneurs are given support by their family and are made aware of the various schemes available to them to start their own ventures they can do wonders.
Licence: creative commons attribution 4.0
Differently Abled, Women Entrepreneurs, Mumbai.
Paper Title: REFUGEE AND MIGRATION FROM BANGLADESH TO TRIPURA IN THE PERIOD 1947-2014
Author Name(s): Dr. Narottam Debbarma
Published Paper ID: - IJCRT22A6211
Register Paper ID - 221426
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6211 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6211 Published Paper PDF: download.php?file=IJCRT22A6211 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6211.pdf
Title: REFUGEE AND MIGRATION FROM BANGLADESH TO TRIPURA IN THE PERIOD 1947-2014
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b632-b650
Year: June 2022
Downloads: 524
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Monarchy, Minor Yuvaraj, Chakla Rosanabad, Snatched, East Pakistan, Amalgamation, Refugee and Migration, Tripura.
Paper Title: RELIABILITY EVALUATION OF BULK POWER SYSTEMS INCORPORATING UPFC
Author Name(s): CH. THIRUMALESH, D. PRAVEEN, M. KUMAR, CH. AKASH KUMAR, Dr. T. RAJESH
Published Paper ID: - IJCRT22A6210
Register Paper ID - 221352
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6210 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6210 Published Paper PDF: download.php?file=IJCRT22A6210 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6210.pdf
Title: RELIABILITY EVALUATION OF BULK POWER SYSTEMS INCORPORATING UPFC
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b628-b631
Year: June 2022
Downloads: 486
E-ISSN Number: 2320-2882
Unified power flow controller (UPFC) is one of the most advanced flexible AC transmission systems (FACTS) devices that can simultaneously and independently control both the real and reactive power flow in a transmission line. The utilization of UPFC can result in significant reliability benefits in modern power systems. This paper proposes a novel reliability network model for a UPFC, which incorporates the logical structure and the distinct operating modes of a UPFC. Two-state or three-state models have been used for UPFC by previous researchers. The proposed model divides the UPFC operating modes into four states, namely the UPFC up state, STATCOM state, SSSC state and UPFC down state, in order to improve the accuracy of the model by recognizing the practical operating states of a UPFC. The new model also incorporates an AC flow-based optimal load shedding approach to assess the impact of bus voltages and reactive power flow on UPFC in order to decide appropriate load curtailment in the reliability evaluation process. The performance of the proposed model is verified using a test system, and compared with different reliability models of UPFC. Various operating schemes, such as different placement locations of UPFC, and different capacities of UPFC are used to illustrate the advantages of the developed models, and to examine the impacts of UPFC on the system reliability.
Licence: creative commons attribution 4.0
Unified power flow controller; reliability evaluation; bulk power system; load curtailment model
Paper Title: WORK-LIFE FISHERWOMEN IN UNORGANIZED SECTOR � A STUDY IN SRIKAKULAM DISTRICT
Author Name(s): Ippili Chandra Sekhara Rao, Prof. T. SOBHASRI
Published Paper ID: - IJCRT22A6209
Register Paper ID - 221388
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6209 and DOI :
Author Country : Indian Author, India, 530017 , Visakhapatnam, 530017 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6209 Published Paper PDF: download.php?file=IJCRT22A6209 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6209.pdf
Title: WORK-LIFE FISHERWOMEN IN UNORGANIZED SECTOR � A STUDY IN SRIKAKULAM DISTRICT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b615-b627
Year: June 2022
Downloads: 515
E-ISSN Number: 2320-2882
The main aim of this study is to analyse the work-life balance of fisherwomen in unorganized sector. In this purpose Srikakulam district of Andhra Pradesh state has been chosen as the study area, where 12 villages of 6 mandals mostly fishermen community populated located in coastal zone are selected. A sample of 600 working women of fishermen community selected randomly 50 from each village with stratified method. Thus, the selected women are engaged in fish marketing activities and work for unorganised units like shrimp hatcheries, cold storages, etc. The data was collected about personal information of the sample respondents, along with work environment, facilities at workplace, work performance and work-life with the help of an interview schedule and processed with SPSS for analysis. The results revealed that better performance of fisher women gives the more satisfaction and managing their family emergencies becomes easier them to handle outside work with better work practices. Moreover, comparison of work performance with others makes their life more relaxed and they would be less stressed in their job with good work practices. Since, fisherwomen don't get reasonable remuneration for their work better work practices improve the efficiency and effectiveness of their work-life.
Licence: creative commons attribution 4.0
Keywords: Fisherwomen, work-life, unorganized sector, work environment, work performance.
Paper Title: REVIEW ARTICLE ON NIOSOMES: A FUTURE OF TARGETED DRUG DELIVERY SYSTEM
Author Name(s): Kunturwar Kedar, Biradar Pratiksha, Suryawanshi Suchita, Suryawanshi Shivraj V
Published Paper ID: - IJCRT22A6208
Register Paper ID - 221362
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6208 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6208 Published Paper PDF: download.php?file=IJCRT22A6208 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6208.pdf
Title: REVIEW ARTICLE ON NIOSOMES: A FUTURE OF TARGETED DRUG DELIVERY SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b603-b614
Year: June 2022
Downloads: 561
E-ISSN Number: 2320-2882
Treatment of infectious diseases and immunization has undergone a transformation recent years. With the progress in biotechnology and genetic engineering, not only a great number of disease-specific biological have been developed, but also emphasis has been made to successfully deliver these biologicals. Niosomes are vesicles made up of non-ionic surfactants, which are biodegradable, nontoxic, more stable and inexpensive and have ability to substitute the liposomes. A overall research done on the niosome as a drug carrier. Various drugs are used and tried in niosome surfactant vesicles. Niosomes proved to be a promising drug carrier and has ability to reduce the side effects of drugs and increased therapeutic effectiveness in various diseases.
Licence: creative commons attribution 4.0
Bilayer, Drug entrapment, Non-ionic-surfactant, Niosomes, Surfactants.
Paper Title: AIR POLLUTION MONITORING SYSTEM
Author Name(s): THEJESH THALAKOTI, M.SATYANARAYANA, N.ARUN, D.GANESH
Published Paper ID: - IJCRT22A6207
Register Paper ID - 221381
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6207 and DOI :
Author Country : Indian Author, India, 500097 , HYDERABD, 500097 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6207 Published Paper PDF: download.php?file=IJCRT22A6207 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6207.pdf
Title: AIR POLLUTION MONITORING SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b600-b602
Year: June 2022
Downloads: 479
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
ESP32 Microcontroller, Embedded systems, MQ2, MQ7, MQ135 Gas Sensors
Paper Title: GSM BASED ILLEGAL TREE CUTTING PREVENTION AND MONITORING
Author Name(s): JAKKULA KARTHIK, THANGELLA ANIL KUMAR, MADDI JAGRUTHI
Published Paper ID: - IJCRT22A6206
Register Paper ID - 221383
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6206 and DOI :
Author Country : Indian Author, India, 500097 , HYDERABAD, 500097 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6206 Published Paper PDF: download.php?file=IJCRT22A6206 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6206.pdf
Title: GSM BASED ILLEGAL TREE CUTTING PREVENTION AND MONITORING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b592-b599
Year: June 2022
Downloads: 633
E-ISSN Number: 2320-2882
Tree trafficking has been a long-standing and regrettable problem. Cutting trees such as red sanders, teak wood and sandal wood is still a challenging task. Despite many advances in technology, ensuring the protection of trees in a vast region like as a forest is difficult. It is also opulent to put into practice. We are working on a method to prevent tree trafficking in the forest. Arduino is used with a flex sensor humidity sensor , mems sensor and power supply to create the systems. At the point if any malfunction, the tree unit module and that the specifical geographical location will be communicated via GSM.gsm is also being used to restructure real-time data from the tree unit to that the monitoring section. This ensures data security as well as privacy.
Licence: creative commons attribution 4.0
GSM, sensors, Arduino, wireless network and monitoring
Paper Title: SMART LAB
Author Name(s): Atharva Gogate, Shraddha Rasal, Tanmay Rathod, Pragya Jain
Published Paper ID: - IJCRT22A6205
Register Paper ID - 221370
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6205 and DOI :
Author Country : Indian Author, India, 400602 , Thane, 400602 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6205 Published Paper PDF: download.php?file=IJCRT22A6205 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6205.pdf
Title: SMART LAB
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b588-b591
Year: June 2022
Downloads: 469
E-ISSN Number: 2320-2882
Electricity, being one of the most important resources, must be utilized carefully. We often forget to switch off lights or fans when we leave a room. By using this system, we can intentionally forget about the lights as the system will automatically take care of them. The digital World we are living in allows us to use different technologies to automatically perform certain tasks. Such automation is very useful in certain areas like energy consumption, reducing human efforts, improving standard of living etc. Smart Lab is a project consisting of different systems. It uses Camera for capturing user faces and recognizing them to open door automatically using Solenoid Lock for registered users. It also comprises of system having Google Assistant on mobile and other applications which will help to turn on and off lights, fans, etc.
Licence: creative commons attribution 4.0
Paper Title: DEEP LEARNING BASED PLANT DISEASE PREDICTION USING CONVOLUTIONAL NEURAL NETWORK
Author Name(s): Satyalakshmi B, Ananthi J, Dr. Uma S
Published Paper ID: - IJCRT22A6204
Register Paper ID - 221385
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT22A6204 and DOI : http://doi.one/10.1729/Journal.35791
Author Country : Indian Author, India, 641032 , COIMBATORE, 641032 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT22A6204 Published Paper PDF: download.php?file=IJCRT22A6204 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT22A6204.pdf
Title: DEEP LEARNING BASED PLANT DISEASE PREDICTION USING CONVOLUTIONAL NEURAL NETWORK
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.35791
Pubished in Volume: 10 | Issue: 6 | Year: June 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 6
Pages: b581-b587
Year: June 2022
Downloads: 544
E-ISSN Number: 2320-2882
Plant disease diagnosis is a huge issue in increasing the production of yield in the agriculture sector. Identifying plant diseases is crucial to prevent loss of yield and quantity of agricultural products. The recent advances in computer vision helps the researchers in using the Artificial intelligence technology for finding and detecting the type of plant disease of the crop. In this current research, a deep learning technology is used for detecting and to classify the type of disease through image processing technique. Convolutional Neural Network (CNN) is utilized for image processing for detection of diseases, including image acquisition, image preprocessing, image segmentation, and feature extraction and classification. This describes a method for detecting the disease of plants by using the image of their leaves. It also describes the algorithm for extracting some segmentation and functionality used in the detection of plant diseases.
Licence: creative commons attribution 4.0
Artificial intelligence, Convolutional Neural Network, image processing

