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

Volume 8 | Issue 8 |

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  Paper Title: DESIGN OF H SHAPED MICROSTRIP PATCH ANTENNA WITH HEXAGONAL SLOTS FOR MICROWAVE BAND APPLICATIONS

  Author Name(s): Mrs. S. Parameswari, Dr.C. Chitra

  Published Paper ID: - IJCRT2008021

  Register Paper ID - 197321

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008021 and DOI :

  Author Country : Indian Author, 626126, INDIA , VIRUDHUNAGAR, INDIA , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008021
Published Paper PDF: download.php?file=IJCRT2008021
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008021.pdf

  Your Paper Publication Details:

  Title: DESIGN OF H SHAPED MICROSTRIP PATCH ANTENNA WITH HEXAGONAL SLOTS FOR MICROWAVE BAND APPLICATIONS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 156-159

 Year: August 2020

 Downloads: 1400

  E-ISSN Number: 2320-2882

 Abstract

ABSTRACT A modern H shape Microstrip patch antenna using hexagonal slot design is presented during this paper. Several researchers have discussed taking place different shapes of patches. A H shaped hexagonal slot antenna is projected for bandwidth improvement. During this paper, the oblong and hexagonal slit that's added at the maximum plane side of the H Shape radiating patch. Micro strip-fed H shaped patch antenna is obtainable during this paper. The wished-for antenna is meant on Rogers /RT Duriod 5880 substrate and therefore the show is obtained by using Ansys High Frequency Structural Simulator. The antenna is best to other designs in terms of parameters like Bandwidth, Directivity, Radiation Pattern, Gain, Return Loss .The planned aerial operates over the waveband from 12.50 GHz for reflection coefficient (S11) < ?18 dB.


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KEYWORDS: HFSS, hexagonal slot, H shape patch, Resonant Frequency

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  Paper Title: A STUDY ON PROBLEMS AND PRACTICES IN PROCUREMENT AND MARKETING OF MILK AND MILK PRODUCTS IN SALEM DISTRICT

  Author Name(s): Dr.R.Subramaniya Bharathy

  Published Paper ID: - IJCRT2008020

  Register Paper ID - 197566

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008020 and DOI :

  Author Country : Indian Author, 636011, India , Salem, India , | Research Area: Management

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008020
Published Paper PDF: download.php?file=IJCRT2008020
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008020.pdf

  Your Paper Publication Details:

  Title: A STUDY ON PROBLEMS AND PRACTICES IN PROCUREMENT AND MARKETING OF MILK AND MILK PRODUCTS IN SALEM DISTRICT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Management

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 148-155

 Year: August 2020

 Downloads: 1382

  E-ISSN Number: 2320-2882

 Abstract

Dairy industry is one of the prime industries in India that provides lot of livelihood opportunities and meets nutritious demand of a large part of society. Tamil Nadu represents the fourth largest dairy market in India. The dairy market of Tamil Nadu is expected to grow further in near future significantly. At this juncture, it is important to address the various issues and problems being faced by the dairy marketers to help them to reap the benefits of ever growing dairy market to fullest extent. Among the many issues, Milk procurement and marketing of milk and milk products are the two major issues faced by the dairy marketers. And, this study aims at analyzing the current practices in the milk procurement and dairy marketing and also at identifying the various problems and challenges associated with procurement and marketing. The outcome of the study will be beneficial to all the stakeholders in formulating appropriate milk procurement and milk products marketing strategies.


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Milk, Dairy products, Procurement, Marketing

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  Paper Title: SIMULATION OF BIOMEDICAL SIGNAL USING VIRTUAL INSTRUMENTATION

  Author Name(s): Devdatta Y. Gandole, 2Anjali. J. Deshmukh

  Published Paper ID: - IJCRT2008019

  Register Paper ID - 197591

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008019 and DOI :

  Author Country : Indian Author, 444709, India , Dhamangaon Rly, India , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008019
Published Paper PDF: download.php?file=IJCRT2008019
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008019.pdf

  Your Paper Publication Details:

  Title: SIMULATION OF BIOMEDICAL SIGNAL USING VIRTUAL INSTRUMENTATION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 144-147

 Year: August 2020

 Downloads: 1431

  E-ISSN Number: 2320-2882

 Abstract

Biomedical signals are the collection of electrical signals acquired from any organ of human body. Careful analysis of biomedical signals such as ECG, EMG, and EEG are very important for proper diagnosis of disease. Biomedical signal ECG can be acquired using various software�s. National Instruments Lab VIEW is used to design the biomedical signal (ECG) acquisition experimental system and then briefly outlines its salient characteristics. The aim is to provide a new approach to fully understand signal acquisition, and data-saving process in biomedical research. It is a flexible experimental platform for exploring new biomedical signal acquisition methods.


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Virtual instrumentation, Lab VIEW, Biomedical Signal

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  Paper Title: STUDY OF LASER CUTTING MACHINING & OPTIMUM EFFICIENCY PARAMETERS

  Author Name(s): ANKIT NAGVADIA

  Published Paper ID: - IJCRT2008018

  Register Paper ID - 197533

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008018 and DOI : http://doi.one/10.1729/Journal.24234

  Author Country : Indian Author, 380007, India , ahmedabad, India , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008018
Published Paper PDF: download.php?file=IJCRT2008018
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008018.pdf

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  Title: STUDY OF LASER CUTTING MACHINING & OPTIMUM EFFICIENCY PARAMETERS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.24234

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 127-143

 Year: August 2020

 Downloads: 1417

  E-ISSN Number: 2320-2882

 Abstract

This Paper presents an experimental study that is conducted on Laser Cutting machine with Oxygen Gas & Stainless steel 304 as a Material. Stainless Steel Plate 304 is selected as experimental material. Input parameters Like Gas Pressure, Laser Power, Cutting Speed kept variable. Some parameters like Nozzle Diameter, Focus length, Lens Diameter, Standoff Distance are kept fixed. Some Response variables like Surface roughness, Kerf width will be inspected. Using suitable DOE method, Study of Parameters Optimization will be obtain for laser Cutting Using Oxygen as Gas. Nitrogen gas laser cutting is mostly chosen for Stainless steel to get better finishing as it doesn�t leave burr marks of oxidation as oxygen gas does. So the research work on Stainless steel with combination of oxygen gas Laser cut is rare & its experiment work has not been conducted so far anywhere. That is why this combination of Stainless steel with Oxygen gas has been chosen for this research.


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 Keywords

Oxygen gas Laser Cutting, Cut Quality, Parameters Optimization

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  Paper Title: DIELECTRIC PROPERTIES AND PHYSICAL PROPERTIES OF PURE AND NANO AG DOPED LIQUID CRYSTALLINE COMPOUNDS

  Author Name(s): Dr. Gajendra Prasad Gadkar

  Published Paper ID: - IJCRT2008017

  Register Paper ID - 196384

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008017 and DOI :

  Author Country : Indian Author, 800001, India , Patna, India , | Research Area: Physics

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008017
Published Paper PDF: download.php?file=IJCRT2008017
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008017.pdf

  Your Paper Publication Details:

  Title: DIELECTRIC PROPERTIES AND PHYSICAL PROPERTIES OF PURE AND NANO AG DOPED LIQUID CRYSTALLINE COMPOUNDS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Physics

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 111-126

 Year: August 2020

 Downloads: 1421

  E-ISSN Number: 2320-2882

 Abstract

This paper reveals that the dielectric properties and other physical properties, for example, electrical conductivity (AC) and unwinding time or initiation vitality have been read for two frameworks unadulterated LC [V]6,6, [V]7,6, [V]8,6, [V]6,7, [V]7,7 and [V]8,7 and their doped with silver nanoparticles. The outcomes show the expanding in genuine dielectric permittivity ? with expanding length terminal chain. So the genuine dielectric permittivity expanding with raising temperature. To think about between the estimations of (400) Hz and (4000) Hz we watch these qualities at the low recurrence are bigger than that in high recurrence. By and large, one can see that the doping of Ag nano particles viably diminished the permittivity of the LC materials with its huge electric dipole second. The electrical conductivity ? esteem for unadulterated LC tests as a rule increments with expanding temperature. So we watched expanding of electrical conductivity esteems at high recurrence. The time scale is talked about as far as the Arrhenius plot. For the most part, with expanding the temperature the timeframe that spends by atoms at the change state will increment. The initiation vitality Ea esteems show the expansion in the enactment vitality to the doped frameworks.


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 Keywords

Liquid crystals; Dielectric permittivity; Electrical conductivity; Relaxation time; Activation energy; Doped liquid crystals; Silver nanoparticles

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  Paper Title: GESTURE IDENTIFICATION USING MACHINE LEARNING

  Author Name(s): Bincy Annamma Saji, N C Chanjal, Ruhin Mary Saji, Nayana V

  Published Paper ID: - IJCRT2008016

  Register Paper ID - 197584

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008016 and DOI :

  Author Country : Indian Author, 689623, INDIA , ALAPPUZHA, INDIA , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008016
Published Paper PDF: download.php?file=IJCRT2008016
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008016.pdf

  Your Paper Publication Details:

  Title: GESTURE IDENTIFICATION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 105-110

 Year: August 2020

 Downloads: 1405

  E-ISSN Number: 2320-2882

 Abstract

Hand gesture is one of the most helpful technique for deaf and dumb people.Gesture recognition is done using IMU sensors which plays an important role in various IOTs.We can train the gestures using offline phase and can recognize these gestures during the offline phase.Without proper training,we cannot recognize these gestures.For recognizing gestures,we use Bluetooth enabled hand motion trajectory mounted on the wrist for identification.But this technique may become difficult if it willnot perform perfectly or may be damage.We use machine learning approach in which Bluetooth enabled IMU are not required.We use SSD algorithm and Inception Model.We use hands for gesture recognition and these are taken as image through camera and loaded to the tensorflow memory.Then it is compared with the trained dataset.If it matches,output is displayed on the screen.


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 Keywords

dynamic time warping (DTW); hand gesture recognition (HGR); inertial measurement unit (IMU); machine learning; real-time learning; restricted coulomb energy (RCE) neural network.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: SEMI-SUPERVISED IMAGE-TO-VIDEO ADAPTATION FOR VIDEO ACTION RECOGNITION

  Author Name(s): Prof. Bhavana R Maale, Nikita Y

  Published Paper ID: - IJCRT2008015

  Register Paper ID - 196753

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008015 and DOI :

  Author Country : Indian Author, 585201, India , Kalaburgi, India , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008015
Published Paper PDF: download.php?file=IJCRT2008015
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008015.pdf

  Your Paper Publication Details:

  Title: SEMI-SUPERVISED IMAGE-TO-VIDEO ADAPTATION FOR VIDEO ACTION RECOGNITION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 101-104

 Year: August 2020

 Downloads: 1409

  E-ISSN Number: 2320-2882

 Abstract

Human understanding of behavior has been well studied in computer vision applications. Many popular methods of action recognition have shown that knowledge of action can be gained from motion videos or still images effectively. Many of the current methods for identifying video action suffer from the problem of missing appropriate labeled videos for instruction. In such cases, over-fitting will be a potential issue, and action recognition efficiency is limited. We suggest an adaptation approach to improve video action identification by tailoring image information. The adapted information is used to learn the meanings of associated behavior by examining the components of both branded videos and images. We propose an IVA classifier to achieve good output of video action recognition, which can borrow the information adapted from images based on the common visual features.


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 Keywords

Video, Adaptation Approach, VA

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  Paper Title: OPTIMIZED MIX COLUMN ARCHITECTURE DESIGN AND FAULT DETECTION SCHEME FOR THE ADVANCED ENCRYPTION STANDARD

  Author Name(s): MANOHAR.C.M, SUDHA.H

  Published Paper ID: - IJCRT2008014

  Register Paper ID - 196536

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008014 and DOI :

  Author Country : Indian Author, 571313, INDIA , CHAMARAJANAGAR, INDIA , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008014
Published Paper PDF: download.php?file=IJCRT2008014
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008014.pdf

  Your Paper Publication Details:

  Title: OPTIMIZED MIX COLUMN ARCHITECTURE DESIGN AND FAULT DETECTION SCHEME FOR THE ADVANCED ENCRYPTION STANDARD

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 92-100

 Year: August 2020

 Downloads: 1396

  E-ISSN Number: 2320-2882

 Abstract

With the evolution of the Internet, there has been a huge spurt in online transactions and also an increase in sharing of private, confidential and sensitive information over the web. This in turn has increased the requirement of highly secure and swift methodologies to protect such data using modern cryptographic techniques such as the Advanced Encryption Standard (AES). AES is an endorsed cryptographic algorithm that can be utilized to secure electronic information. AES was replacing the old Data Encryption Standard (DES) with more security. In order to achieve the same, this project discusses significant and novel modifications to the existing hardware architecture of the mix column step of the AES algorithm. And also implement the fault detect scheme for AES.


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AES, Mix Column, Encryption, Decryption, Fault Detection, VLSI.

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  Paper Title: DISEASE DETECTION OF PADDY FROM THE LEAF IMAGES AND RECOMMENDATION OF FERTILIZERS USING MCNN

  Author Name(s): B.Dhivya, V.Indira , P.Kirthika, Arthi A

  Published Paper ID: - IJCRT2008013

  Register Paper ID - 196716

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008013 and DOI :

  Author Country : Indian Author, 612501, India , Kumbakonam, India , | Research Area: Science & Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008013
Published Paper PDF: download.php?file=IJCRT2008013
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008013.pdf

  Your Paper Publication Details:

  Title: DISEASE DETECTION OF PADDY FROM THE LEAF IMAGES AND RECOMMENDATION OF FERTILIZERS USING MCNN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Science & Technology

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 86-91

 Year: August 2020

 Downloads: 1433

  E-ISSN Number: 2320-2882

 Abstract

Agriculture plays undeniably an indispensable role to human kind. Due to increased population, demand for the food is also getting increased, hence the production should be maximized. To ensure this, crops should be protected from diseases that are caused by fungi, viruses and bacteria. Deep learning is a part of a broader family of machine learning methods based on Artificial Neural Networks with representation learning. It can draw conclusions from various sets of raw data. It can aid farmers to predict the yield and quality of crops, detect weed and diseases. Precision Farming applies real time and historical data along with machine learning and deep learning algorithms to arrive at specific decisions for small regions of the application rather than applying the same working for a large range in the traditional method. In order to increase the production and maximize the profit, the crops should be protected from the diseases. In existing system, only the fungal disease called Anthracnose in Mango leaves is detected. For the pre-processing of leaves, histogram equalization method for contrast enhancement and for resizing the image to a standard size central square crop method are used. And for the classification multilayer convolutional neural network is used. In the proposed work, diseases for crops like paddy, plants like brinjal and tress like citrus family will be detected. Grayscale conversion is to be done for the preprocessing and noises in the image will be removed by using median filter algorithm.For the leaf segmentation Active Contour approach is going to be implemented. For the classification part, Multilayer Convolutional Neural Network (MCNN) is going to be implemented. And the crucial improvement in our work is recommending the fertilizers and pesticides for the affected diseases.


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Agriculture,Precision Farming,Machine Learning,Deep Learning,MCNN

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  Paper Title: �A DESCRIPTIVE STUDY TO ASSESS LEVEL OF ANXIETY AND DEPRESSION AMONG WIVES OF ALCOHOLIC DEPENDENT HUSBAND IN SELECTED AREA OF DAPOLI.�

  Author Name(s): Ms. Apeksha Patil, Ms. Foziya Patel, Ms. Dakshata Telekar

  Published Paper ID: - IJCRT2008012

  Register Paper ID - 197380

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2008012 and DOI :

  Author Country : Indian Author, 415722, India , KHED, India , | Research Area: Medical Science

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2008012
Published Paper PDF: download.php?file=IJCRT2008012
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2008012.pdf

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  Title: �A DESCRIPTIVE STUDY TO ASSESS LEVEL OF ANXIETY AND DEPRESSION AMONG WIVES OF ALCOHOLIC DEPENDENT HUSBAND IN SELECTED AREA OF DAPOLI.�

 DOI (Digital Object Identifier) :

 Pubished in Volume: 8  | Issue: 8  | Year: August 2020

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

 Subject Area: Medical Science

 Author type: Indian Author

 Pubished in Volume: 8

 Issue: 8

 Pages: 79-85

 Year: August 2020

 Downloads: 1417

  E-ISSN Number: 2320-2882

 Abstract

The aim of the present study was to assess level of anxiety and depression among wives of alcoholic dependent husband in selected area of Dapoli. A non � experimental descriptive study research design was adopted to assess the level of anxiety and depression among wives of alcoholic dependent husbands. The target population of study was 30 wives of alcoholics. The sample collection was done by purposive sampling technique. A standardized hospital anxiety depression scale was used to assess level of anxiety and depression. The result showed that Out of 30 wives 22(73.33%) respondent had abnormal case anxiety, 5 (16.66%) had borderline abnormal anxiety and 3(10%) had normal. In depression, out of 30 wives, 11(36.66%) respondent had abnormal case, 9 (30%) respondent had borderline abnormal and 10 (33.33%) respondent had normal.


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 Keywords

Anxiety, Depression, alcohol dependence

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