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: PERCEPTIONS OF INVESTORS TOWARDS INDIAN STOCK MARKETS- A SELECT STUDY
Author Name(s): G. C .VENKATAIAH, Prof.B.K.Surya Prakasha Rao
Published Paper ID: - IJCRT1892764
Register Paper ID - 189710
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892764 and DOI :
Author Country : Indian Author, 522019, india , nandyal, india , | Research Area: Management Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892764 Published Paper PDF: download.php?file=IJCRT1892764 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892764.pdf
Title: PERCEPTIONS OF INVESTORS TOWARDS INDIAN STOCK MARKETS- A SELECT STUDY
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 553-556
Year: APRIL 2018
Downloads: 1302
E-ISSN Number: 2320-2882
A stock market is a place in which long term capital is raised by industry and commerce, the government and local authorities and it is regarded as capital market. The money derives from private investors, insurance companies, pension funds and banks and is usually arranged by issuing houses and merchant banks. Stock exchanges are also part of the capital market which provides a market for the shares and loan that represent the capital once it has been raised. Stock market is a place where the securities can be sold and purchased at an agreed price. This paper analyzes the perceptions of investors towards Indian stock markets. The study involves the examination of perception level of respondents towards investments in stock markets and the risk factors involved in stock investments. The study was conducted in Vijayawada city of Andhra Pradesh and the sample size was 126. The study concludes that majority of the respondents were males and their perception levels towards stock markets differ from females. The study further concludes that the awareness levels of respondents towards the risk factors involved in stock market investments is very low.
Licence: creative commons attribution 4.0
Perception, Investment, Risk factors, Stock Markets
Paper Title: VIBHAJAN KA HARYANA KSHETRA PAR SAMAJIK, AARTHIK AUR RAJNAITIK PARBHAV
Author Name(s): Dr. Mamta Rani
Published Paper ID: - IJCRT1892763
Register Paper ID - 189700
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892763 and DOI :
Author Country : N, -, - , -, - , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892763 Published Paper PDF: download.php?file=IJCRT1892763 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892763.pdf
Title: VIBHAJAN KA HARYANA KSHETRA PAR SAMAJIK, AARTHIK AUR RAJNAITIK PARBHAV
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: N
Pubished in Volume: 6
Issue: 2
Pages: 548-552
Year: APRIL 2018
Downloads: 1257
E-ISSN Number: 2320-2882
Vibhajan Ka Haryana Kshetra Par Samajik, Aarthik aur Rajnaitik Parbhav
Licence: creative commons attribution 4.0
Vibhajan Ka Haryana Kshetra Par Samajik, Aarthik aur Rajnaitik Parbhav
Paper Title: PATTERN MATCHING AND CLUSTERING OF DOCUMENTS USING MPBTM AND LDA
Author Name(s): Nisha Kailasrao Lagad, Padmapani P. Tribhuvan
Published Paper ID: - IJCRT1892762
Register Paper ID - 189627
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892762 and DOI :
Author Country : Indian Author, 431122, India , BEED, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892762 Published Paper PDF: download.php?file=IJCRT1892762 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892762.pdf
Title: PATTERN MATCHING AND CLUSTERING OF DOCUMENTS USING MPBTM AND LDA
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 541-547
Year: APRIL 2018
Downloads: 1293
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Topic model, Information Filtering, Pattern Mining, Relevance Ranking, Document Clustering
Paper Title: COLLECTION AND IDENTIFICATION OF E.COLI AND CHECK ITS ANTIBIOTIC ACTIVITY AGAINST MEDICINAL PLANT THAT IS NEEM, TURMERIC AND PARIJAT
Author Name(s): Samiksha A. Ghogare
Published Paper ID: - IJCRT1892761
Register Paper ID - 189686
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892761 and DOI :
Author Country : Indian Author, 444803, Amravati , Daryapur, Amravati , | Research Area: LifeSciences Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892761 Published Paper PDF: download.php?file=IJCRT1892761 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892761.pdf
Title: COLLECTION AND IDENTIFICATION OF E.COLI AND CHECK ITS ANTIBIOTIC ACTIVITY AGAINST MEDICINAL PLANT THAT IS NEEM, TURMERIC AND PARIJAT
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: LifeSciences
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 536-540
Year: APRIL 2018
Downloads: 1247
E-ISSN Number: 2320-2882
A present study was conducted to isolate, identify and characterize the E.coli bacteria from turbid water and check its antibiotic activity against Neem, Turmeric, Parijat Plant. From this plant collect plant leaf air dried and crushed it and prepaid fine powder and applies on whatsman filter paper and observes its zone of inhibition against E.Coli. Maximum zone of inhibition was seen under Neem plant contaning disc.
Licence: creative commons attribution 4.0
E.coli, Medicinal plant, zone of inhibition.
Paper Title: FINANCIAL PERFORMANCE OF SOUTH CANARA DISTRICT CENTRAL CO-OPERATIVE BANK LIMITED
Author Name(s): Siddhartha S Vishwam, Dr B S Chandrashekar
Published Paper ID: - IJCRT1892760
Register Paper ID - 189623
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892760 and DOI :
Author Country : N, -, - , -, - , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892760 Published Paper PDF: download.php?file=IJCRT1892760 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892760.pdf
Title: FINANCIAL PERFORMANCE OF SOUTH CANARA DISTRICT CENTRAL CO-OPERATIVE BANK LIMITED
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: N
Pubished in Volume: 6
Issue: 2
Pages: 529-535
Year: APRIL 2018
Downloads: 1281
E-ISSN Number: 2320-2882
The present paper focuses on the financial growth, of the bank and different types of loans and advances, provided by the SCDCCB. Study is based on the secondary data collected through office records of SCDCCB, annual reports, journals and news paper. Simple statistical tools like, CAGR, Mean, Standard Deviation, and Co-efficient of Variation are used to analyze the data. The study period was from 2001-02 to 2016-17. Through selective indicators it is found that all the financial variables viz., Membership, Share Capital, Reserves, Deposits, Borrowings, Working Capital, Investments, Loans Outstanding, over dues and Profit increased during the study period.
Licence: creative commons attribution 4.0
SCDCCB, Membership, Share Capital, Reserves, Deposits, Borrowings, Working Capital, Investment and Profit
Paper Title: AN IMPROVISED METHOD FOR LIVE TWEET DATA SEGMENTATION AND ITS APPLICATION TO NAMED ENTITY RECOGNITION
Author Name(s): Jayashri somnath jadhav, K.V.Reddy
Published Paper ID: - IJCRT1892759
Register Paper ID - 189621
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892759 and DOI :
Author Country : Indian Author, 423701, india , aurangabad, india , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892759 Published Paper PDF: download.php?file=IJCRT1892759 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892759.pdf
Title: AN IMPROVISED METHOD FOR LIVE TWEET DATA SEGMENTATION AND ITS APPLICATION TO NAMED ENTITY RECOGNITION
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 523-528
Year: APRIL 2018
Downloads: 1270
E-ISSN Number: 2320-2882
Twitter has become one of the most important channels of communication with its ability to provide the latest and latest information. Given the extensive use of Twitter as a source of information, touching an interesting tweet for users among a bunch of tweets is a challenge. A huge amount of tweets sent per day per hundred million users, information overload is inevitable. To extract the high-volume information from different tweets, Named Entity Recognition, methods on formal texts. However many applications in information retrieval and NLP ie .natural language processing suffers from the noisy and short nature of tweets. In this paper, we propose a framework which first of all collect the live tweet then Named Entity Recognition get performed on it by using Stanford NER also System Finds its Global and Local Presence and accordingly Segmentation get performed.
Licence: creative commons attribution 4.0
Twitter stream, named entity recognition, Global and Local context, Wikipedia, W3C, Stanford NLP, Tweet Segmentation.
Paper Title: SECURITY ASPECTS OF WHATSAPP
Author Name(s): Parag Mhatre, Seeza Franklin
Published Paper ID: - IJCRT1892758
Register Paper ID - 189576
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892758 and DOI :
Author Country : Indian Author, 400709, India , Navi Mumbai, India , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892758 Published Paper PDF: download.php?file=IJCRT1892758 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892758.pdf
Title: SECURITY ASPECTS OF WHATSAPP
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 518-522
Year: APRIL 2018
Downloads: 1351
E-ISSN Number: 2320-2882
WhatsApp mobile app messenger is conceivably the most popular app used on all smartphones, tablets by all age of peoples. Billion number of peoples worldwide used Whatsapp for free messaging, calling, and media sharing to another people. Here In this research paper, I analyze the WhatsApp messaging platform and glossographer its security architecture along with a focus on its privacy and preservation.
Licence: creative commons attribution 4.0
Paper Title: SEGMENTATION REGION GROWING DETECTION LOW CONTRAST IMAGES
Author Name(s): S. Siva Jyothi, Dr. A. Rama Mohan Reddy
Published Paper ID: - IJCRT1892757
Register Paper ID - 189504
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892757 and DOI :
Author Country : N, -, - , -, - , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892757 Published Paper PDF: download.php?file=IJCRT1892757 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892757.pdf
Title: SEGMENTATION REGION GROWING DETECTION LOW CONTRAST IMAGES
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: N
Pubished in Volume: 6
Issue: 2
Pages: 506-517
Year: APRIL 2018
Downloads: 1227
E-ISSN Number: 2320-2882
Evolution of data communications in the early days was mainly numerical and textual form. Many other forms of data: voice, music, speech, images, computer graphics, etc as specified mostly in the form of electrical or electronic signals. A Signal is a function that conveys information. The concept of digital image processing was introduced relatively late in computer history after the arrival of the first graphical operating systems. More ever, digital image processing requires the most careful optimizations especially for real time applications. Transfer of the messages as signals through electronic media: telegraphs, telephones, television, radar, etc. may be affected by the systems used to acquire, transmit, or process them. Also these systems are imperfect and introduce noise, distortion, or other artifacts leading to necessity of the signal processing. Accordingly, we specifically introduce the information content into the signal to extract it out later by encoding natural phenomena (audio signal, acquired image, etc.), but also generated from scratch (speech generation, computer generated music, computer graphics). Ofllate these technologies are merged together by acquiring a natural signal, processing it, and then transmitting it in some electronic form. This form is called Digital Image Processing. Computer vision aims to duplicate the effect of human vision by electronically perceiving and understanding an image. Incurring an enormous loss of information in due processing. In order to simplify the task of computer vision processing, two levels are usually distinguished viz: Low-level image processing and High-level image processing. Low level images processing methods usually use very little knowledge about the content of image. In the case of the later, it is usually provided by high-level algorithms. Low level methods often include image compression, pre-processing methods for noise filtering, edge extraction, image sharpening and boundary detection for image classification and analysis. High-level image processing is based on knowledge, goals, and plans of how to achieve those goals, and artificial intelligence methods are widely applicable. In this thesis low level image processing methods have been studied for image segmentation and classification of images.
Licence: creative commons attribution 4.0
Helly-Property, Segmentation, Texture model, Neighborhood Spanning Tree, BRF, Markov-Chain-Rule, Edge-Flow, Fuzzy-Logic and Boundary MRF model
Paper Title: EFFECTIVE QUERIES OF PIG IN OOZIE AUTOMATION
Author Name(s): S.Sivasankara Rao, P.Padma Rajani, R. Narender
Published Paper ID: - IJCRT1892756
Register Paper ID - 189462
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892756 and DOI :
Author Country : Indian Author, 500070, INDIA , HYDERABAD, INDIA , | Research Area: Science & Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892756 Published Paper PDF: download.php?file=IJCRT1892756 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892756.pdf
Title: EFFECTIVE QUERIES OF PIG IN OOZIE AUTOMATION
DOI (Digital Object Identifier) :
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science & Technology
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 502-505
Year: APRIL 2018
Downloads: 1272
E-ISSN Number: 2320-2882
Oozie is widely used in several large production clusters across major enterprises to schedule Hadoop jobs. It simplifies the process of creating workflows and managing coordination among jobs. Oozie offers the ability to combine multiple jobs sequentially into one logical unit of work. An Oozie workflow is a collection of actions arranged in a directed acyclic graph (DAG).Pig is an abstraction over Map Reduce. It is a tool/platform which is used to analyse larger sets of data representing them as data flows. Pig is generally used with Hadoop; we can perform all data manipulation operations in Hadoop using Pig. The purpose of this is to provide automation through Oozie where large sets of data are analysed using Pig queries thereby reducing the time complexity.
Licence: creative commons attribution 4.0
Hadoop, Apache Oozie, Map Reduce, Apache Pig.
Paper Title: ACCEPTANCE AND ADOPTION OF THE TECHNOLOGY IN SUPPLY CHAIN
Author Name(s): Dr. Seema Laddha, Anguja Agrawal
Published Paper ID: - IJCRT1892755
Register Paper ID - 188446
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT1892755 and DOI : http://doi.one/10.1729/IJCRT.18052
Author Country : Indian Author, 400706, India , Navi Mumbai, India , | Research Area: Management Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892755 Published Paper PDF: download.php?file=IJCRT1892755 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892755.pdf
Title: ACCEPTANCE AND ADOPTION OF THE TECHNOLOGY IN SUPPLY CHAIN
DOI (Digital Object Identifier) : http://doi.one/10.1729/IJCRT.18052
Pubished in Volume: 6 | Issue: 2 | Year: APRIL 2018
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management
Author type: Indian Author
Pubished in Volume: 6
Issue: 2
Pages: 495-501
Year: APRIL 2018
Downloads: 1298
E-ISSN Number: 2320-2882
The use of technology in supply chain is considered as a prerequisite for the effective control of today's highly competitive marketplace. Modern technologies help to create better visibility within supply chain, reduce operational costs and also enhance customer satisfaction and retention. Despite the acknowledged importance of technology in supply chain management (SCM), the use is limited. Organizations are skeptical for the investment in technology. Based on empirical data from twenty four industrial and service companies, this paper classifies the areas where companies are using technology or intend to use in future and their short term objectives for this Performance Company is looking for. Data collected from Mumbai with 24 respondents of supply chain professionals has been taken for study. Finding of the research are company is selective in technology but planning to implement advance technology in future. The objective is advancement of technology available with cost reduction, delivery time, integrate functions
Licence: creative commons attribution 4.0
Acceptance and Adoption of the Technology in Supply Chain

