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Volume 9 | Issue 8

Volume 9 | Issue 8 | Month  
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  Paper Title: A STUDY ON RELATIONSHIP OF TEACHER EFFECTIVENESS AND JOB SATISFACTION AMONG WOMEN TEACHERS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108488

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108488

  Register Paper ID - 211336

  Title: A STUDY ON RELATIONSHIP OF TEACHER EFFECTIVENESS AND JOB SATISFACTION AMONG WOMEN TEACHERS

  Author Name(s): Sri Sanjeevakumar Shivabal, Prof. Surekha Ksheerasagar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e341-e346

 Year: August 2021

 Downloads: 776

 Abstract

This paper is an attempt to find out the relationship of teacher effectiveness with job satisfaction among secondary school women teachers in the state of Karnataka. Kulsum Teacher Effectiveness Scale (KTES) by Kulsum (2000) and Job Satisfaction Scale by Singh & Sharma (1999) were administered on a sample of 400 women teachers randomly selected from Raichur, Yadgir, Kalaburagi and Bidar districts of Karnataka. The study revealed a significant difference in teacher effectiveness among women teachers with high, average and low level of job satisfaction. Women teachers with high level of job satisfaction are higher in teacher effectiveness than teachers with average or low level of job satisfaction. Teacher effectiveness and job satisfaction are positively and significantly related. There exists a positive significant relationship between teacher effectiveness and job satisfaction among women teachers working in urban areas and government schools but a positive insignificant relationship between teacher effectiveness and job satisfaction among women teachers working in rural areas and private schools.


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job satisfaction, Teacher effectiveness, women teachers

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  Paper Title: ATTITUDE AND JOB COMMITMENT OF OBC TEACHERS TOWARDS TEACHING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108487

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108487

  Register Paper ID - 211334

  Title: ATTITUDE AND JOB COMMITMENT OF OBC TEACHERS TOWARDS TEACHING

  Author Name(s): Sri Sanjeevakumar Shivabal, Prof. Surekha Ksheerasagar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e329-e340

 Year: August 2021

 Downloads: 782

 Abstract


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Key Wards: Teaching, Attitudes and job Commitment, High School, Gender, Experience, etc.

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  Paper Title: THE IMPACT OF SOCIAL MEDIA ON CONSUMER BUYING BEHAVIOR

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108486

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108486

  Register Paper ID - 211464

  Title: THE IMPACT OF SOCIAL MEDIA ON CONSUMER BUYING BEHAVIOR

  Author Name(s): Ms. Kamalpreet Kaur

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e325-e328

 Year: August 2021

 Downloads: 831

 Abstract


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social media, Consumer Behavior, Marketing, decision making process

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  Paper Title: TEXT CLASSIFICATION ON TWITTER DATA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108485

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108485

  Register Paper ID - 211466

  Title: TEXT CLASSIFICATION ON TWITTER DATA

  Author Name(s): N V S Sowjanya, K Sunil Kumar, N Tejaswi, V Sesha Chandra Sai, S V Sai Krishna

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e321-e324

 Year: August 2021

 Downloads: 836

 Abstract


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Sentiment Analysis, Classifiers, lexicon-based, machine learning, Multinomial Naive Bayes, Logistic Regression, Textblob, SentiWordNet

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  Paper Title: URODYNAMICS PROFILE IN AN INDONESIAN TERTIARY HOSPITAL

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108484

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108484

  Register Paper ID - 211469

  Title: URODYNAMICS PROFILE IN AN INDONESIAN TERTIARY HOSPITAL

  Author Name(s): Yutha Pariputra, Johan Renaldo

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e316-e320

 Year: August 2021

 Downloads: 779

 Abstract

Background: Micturition disorder is one of the most common problems in urology. Due to the variability of the causes, the diagnosis might be difficult. Urodynamics examination remains the gold standard for examining the pathophysiology of dysfunction in the urinary tract, such as urinary incontinence (UI) or lower urinary tract symptoms (LUTS). This procedure allows to describe the pathology in filling phase and the voiding phase. Objective: To describe urodynamics profile of male patients with urinary symptoms in Soetomo General Hospital in the year 2017-2019 Methods: This research was a retrospective descriptive study. The data was collected from electronical medical records from all male patients with urinary symptoms that undergo urodynamic evaluation at Soetomo General Hospital from January 2017 to December 2019. The data is presented descriptively in table and narrative form. Results: There was a total of 80 patients included in this study. The majority of the patient was classified as elderly patients (>60 y.o.), with a total of 26 patients (32%). The most commonly reported symptom was urine retention in 23 patients (26.74%). Most of the patients had a Q-max result <10 mL/second (76.25%), PVR <150 mL (62.5%), and a post-urodynamic diagnosis of detrusor underactivity (DU). Half of the patients have a comorbid disease, with spinal dysfunction being the most commonly reported comorbidity in the patients (12.5%). All the patients undergo treatment for their symptoms. 75% of the patients were taking pharmacological treatments, while 25% of them underwent surgical procedures. Conclusion: Patients with urinary symptoms that underwent urodynamic evaluation most commonly reported a symptom of urinary retention. The urodynamic evaluation revealed that DU is the most commonly reported post-urodynamic diagnosis. Furthermore, urodynamic studies may differentiate patient needs for pharmacological treatment and undergone surgical procedures.


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urodynamics profile, urinary symptom, descriptive study.

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  Paper Title: AN ANALYSIS OF MACHINE LEARNING CLASSIFIERS IN BREAST CANCER DIAGNOSIS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108483

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108483

  Register Paper ID - 211468

  Title: AN ANALYSIS OF MACHINE LEARNING CLASSIFIERS IN BREAST CANCER DIAGNOSIS

  Author Name(s): P. Manish, M.MONIKA, V.TEJA SRUTHI, P.NAGA VANDANA, G.HARIKA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e312-e315

 Year: August 2021

 Downloads: 780

 Abstract

In the field of assisted cancer diagnosis, it is expected that the involvement of machine learning in diseases will give doctors a second opinion and help them to make a faster / better determination. There are a huge number of studies in this area using traditional machine learning methods and in other cases, using deep learning for this purpose. This article aims to evaluate the predictive models of machine learning classification regarding the accuracy, objectivity, and reproducible of the diagnosis of malignant neoplasm with fine needle aspiration. Also, we seek to add one more class for testing in this database as recommended in previous studies. We present six different classification methods: Multilayer Perceptron, Decision Tree, Random Forest, Support Vector Machine and Deep Neural Network for evaluation. For this work, we used at University of Wisconsin Hospital database which is composed of thirty values which characterize the properties of the nucleus of the breast mass. As we showed in result sections, DNN classifier has a great performance in accuracy level (92%), indicating better results in relation to traditional models. Random forest 50 and 100 presented the best results for the ROC curve metric, considered an excellent prediction when compared to other previous studies published.


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Diagnosis of malignant neoplasm, Multilayer Perceptron, Decision Tree, Random Forest, Support Vector Machine and Deep Neural Network

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  Paper Title: A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108482

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108482

  Register Paper ID - 211422

  Title: A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY

  Author Name(s): M. M. REVATHI, Dr.M.VISWANATHAN, Dr.C.Selvakumar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e298-e311

 Year: August 2021

 Downloads: 807

 Abstract

India is an agricultural country. The earnings of many of our people are not enough for their livelihood. So they are unable to make investments in savings. They give priority to their food, medical attention and education. They think of savings for the future. The main aim of the most of the investors is to gain tax relief. So many people lack knowledge of the necessity of insurance. The present study analyzes the attitudes of policyholders towards services of Life Insurance Corporation in Tirupur City, the data were collected and analysed as per the requirement of the study. The primary data were collected from the respondents through well designed questionnaire. The study has adopted convenient sampling method for selecting 150 respondents. The results revealed the fact that the factors, gender, age, educational qualification, occupation, marital status, monthly income family size and family type have influenced the level of attitude of the policyholders.


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A STUDY FOCUS ON ATTITUDE OF POLICY HOLDERS TOWARDS SERVICES OF LIFE INSURANCE CORPORATION IN TIRUPUR CITY

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  Paper Title: INNOVATIVE TEACHING-LEARNING PRACTICES IN CONTEXT OF TEACHER EDUCATION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108481

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108481

  Register Paper ID - 211399

  Title: INNOVATIVE TEACHING-LEARNING PRACTICES IN CONTEXT OF TEACHER EDUCATION

  Author Name(s): INDU BALA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e289-e297

 Year: August 2021

 Downloads: 782

 Abstract


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Education, Reflection, Enlightenment, Innovative practices

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  Paper Title: A STUDY ON FACTORS INFLUENCING THE CONSUMERS ATTITUDE ABOUT GREEN PRODUCTS WITH SPECIAL REFERENCE TO TIRUPUR CITY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108480

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108480

  Register Paper ID - 211425

  Title: A STUDY ON FACTORS INFLUENCING THE CONSUMERS ATTITUDE ABOUT GREEN PRODUCTS WITH SPECIAL REFERENCE TO TIRUPUR CITY

  Author Name(s): P.Sudhadevi, Dr.M.Viswanathan, Dr.C.Selvakumar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e275-e288

 Year: August 2021

 Downloads: 768

 Abstract

The purpose of this study is to understand the factors influencing the consumer attitude about green products. From this research it is found that attitude and personal norms are positively influencing consumer purchase intention and attitude towards green products. This study helps the marketers to design strategies for sustaining in the green products. The structured questionnaire was used collect primary data and analyzed using software package. This study aims to investigate the effect of demographic factors towards consumer attitude about green products. A total of 150 completed questionnaires were collected via convenience sampling from customers in Tirupur City. Eight demographic variables were used in this study including gender, age, educational qualification, employment status, monthly income, marital status, number of family members and type of family. The findings of the present study showed that the most used statistical techniques were Descriptive Analysis and Chi-Square Test. Based on the findings of the present study, several environmental and non-environmental predictors of green marketing strategies have been identified. The present study has also provided directions for future research on consumer attitude.


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  Paper Title: MANDNA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108479

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108479

  Register Paper ID - 210852

  Title: MANDNA

  Author Name(s): Dr. Mamta Singh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e269-e274

 Year: August 2021

 Downloads: 866

 Abstract

Mandna is an excellent example of rajasthani traditional folk art. This artform has been preserved especially by rural women from centuries. This art uses geometrical forms of various types i.e circle, triangle etc. This artform transpires aesthetic beauty, celebration of festivals and religious traditions.


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rajasthan, mandna, folk art, traditions

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  Paper Title: VYANGY - EK KALATMAK ABHIVYAKTI

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108478

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108478

  Register Paper ID - 211472

  Title: VYANGY - EK KALATMAK ABHIVYAKTI

  Author Name(s): Dr. Manoj Telar, Mahesh Chandra Sharma

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e263-e268

 Year: August 2021

 Downloads: 771

 Abstract

VYANGY - EK KALATMAK ABHIVYAKTI


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VYANGY - EK KALATMAK ABHIVYAKTI

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  Paper Title: THE CORRELATION BETWEEN TUMOR EXPANSION, NECK NODULES,AND FREE MARGIN WITH THE STOMAL RECURRENCE INCIDENCE AFTER A TOTAL LARYNGECTOMY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108477

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108477

  Register Paper ID - 211310

  Title: THE CORRELATION BETWEEN TUMOR EXPANSION, NECK NODULES,AND FREE MARGIN WITH THE STOMAL RECURRENCE INCIDENCE AFTER A TOTAL LARYNGECTOMY

  Author Name(s): Puji Utami, Muhtarum Yusuf, Titiek Hidayati Ahadiah

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e256-e262

 Year: August 2021

 Downloads: 763

 Abstract

Abstract: Background: Stomal recurrence means a recurrence experienced by patients with laryngeal carcinoma after total laryngectomy with a high mortality rate. It is essential to identify the risk factors to predict stomal recurrence. However, factors contributing to stomal recurrence indicate controversial results. Tumor expansion, thyroid nodules, and free margins become the risk factors that are easily identified. The objective: This study aims to describe the correlation between tumor expansion, thyroid nodules, and free margins with stomal recurrence after total laryngectomy. Methods: This study applied an analytical observational study with retrospective cohort studies by employing secondary data. The samples included patients who had experienced a total laryngectomy from January 1, 2015, to December 31, 2019, and those who met the study criteria. The samples were divided into groups of T3 and T4 tumor expansion, groups of N1 and N2+ thyroid nodules, as well as groups of positive and negative free margins. These samples were associated with the stomal recurrence and categorized into yes and no accordingly. The Chi-Square Test was employed for correlation analysis and followed by multiple logistic regression. The results were considered correlated if the P-value was less than 0.05. Results: This study obtained 92 patients with 87 males and 5 females. The analysis of the correlation between tumor expansion and stomal recurrence suggested a P-value of 0.770, which was greater than 0.05. Meanwhile, the correlation between thyroid nodules and free margins with stomal recurrence indicated a P-value of 0.068 and 0.147, greater than 0.05. Conclusion: There was no significant correlation between tumor expansion, thyroid nodules, and free margins with stomal recurrence after a total laryngectomy.


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total laryngectomy, tumor expansion, thyroid nodules, free margin, stomal recurrence.

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  Paper Title: STRESS AND COPING STRATEGIES AMONG NURSING STUDENTS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108476

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108476

  Register Paper ID - 211456

  Title: STRESS AND COPING STRATEGIES AMONG NURSING STUDENTS

  Author Name(s): Zeenat Farooq., Iqbal majid dar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e247-e255

 Year: August 2021

 Downloads: 780

 Abstract


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Stress, Coping, Student, Nursing

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  Paper Title: EFFECT OF DIFFERENT MODULE OF WALKING INTERVENTIONS ON HEALTH RELATED PHYSICAL FITNESS OF MIDDLE AGED PEOPLE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108475

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108475

  Register Paper ID - 211365

  Title: EFFECT OF DIFFERENT MODULE OF WALKING INTERVENTIONS ON HEALTH RELATED PHYSICAL FITNESS OF MIDDLE AGED PEOPLE

  Author Name(s): Dr. Ashoke Mukherjee, Dr. Nirmalendu Gayen, Dr.Debasis Das

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e235-e246

 Year: August 2021

 Downloads: 756

 Abstract

Aim: The purpose of the present experimental study was to find out the best walking intervention protocol which would have significant effect on health related physical fitness of the middle aged people. Methodology: Total 32 subjects have been selected purposively and divided randomly in equal numbers in four groups. Three experimental groups namely Experimental Group 1 (EG -1), Experimental Group 2 (EG -2), and Experimental Group 3 (EG -3), have gone through three different walking protocol for 12 weeks designed with different intensity and volume of walking; whereas the Control Group (CG) did not get any training. Three components of health related physical fitness namely cardio-respiratory endurance, muscular strength and endurance and body fat percentage has been tested through 12 Minute walk/run, one minute bent knee sit ups and skinfold measurement respectively. ANCOVA has been applied to find out the differences among the groups at 0.05 level of significance. LSD test has been applied to find out the best walking protocol. Result & Conclusion: The statistical findings of mean score of pre and post test mean scores have revealed the fact that all the three walking protocol has significantly improved the selected health related physical fitness components. The walking protocol III has been proved to be best protocol may be because of its gradual increase of intensity of speed with fixed distance covered in lesser duration after every four weeks of training.


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Module, Intervention, Protocol, Health-related fitness.

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  Paper Title: HOW ARTIFICIAL INTELLIGENCE HAS BEEN USED IN THE ADMINISTRATION OF COVID -19 IN INDIA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108474

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108474

  Register Paper ID - 211440

  Title: HOW ARTIFICIAL INTELLIGENCE HAS BEEN USED IN THE ADMINISTRATION OF COVID -19 IN INDIA

  Author Name(s): Mr. Rushi R.Durge, Mr.Satish Mulgi, Mr.Bhushan Nikam, Mr. Yogesh Ingale

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e226-e234

 Year: August 2021

 Downloads: 761

 Abstract

ABSTRACT: Over 2.52Cr covid-19 cases in India. Using data and algorithm route block rapid progress of covid-19.AI & ML to solve real world problem like the corona virus outbreal.AI used powerful complex algorithm with them process data which them immolated human cognation to interpretation and compression of complicated medical and health care data for any artificial intelligence, need to be big data needed. This paper mostly focuses on how to manage spread of infection using Artificial Intelligence. Also focuses on the topic and the challenges a developing country such as India faces and overcome. The condition is troubling and new scientific, environmental and infrastructure needs to play a crucial role in removing this important problem globally (including India). It focused in this report on how India, a developing country is trying to stop corona spreading, and how artificial intelligence (AI) plays an essential role in controlling and monitoring the disease.


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Artificial Intelligence(AI), Data Science, PCR, Drone, Aarogya setu App, Robert,RT-PCR,Mylab ,Google AI

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  Paper Title: SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108473

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108473

  Register Paper ID - 211452

  Title: SENTIMENT ANALYSIS ON COVID-19 TWITTER DATA

  Author Name(s): Justin Seby

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e222-e225

 Year: August 2021

 Downloads: 767

 Abstract

The COVID-19 pandemic has led to the dramatic destruction of human life worldwide and presents an unprecedented hurdle to public health, livelyhood and the world of work. The social and economical disruption caused by the pandemic is devastating. The outbreak first appeared in to spotlight in December 2019 in Wuhan, China. This was declared as a pandemic by the World Health Organization on 11th March 2020. This article analyses how people react to a pandemic outbreak, how much they are aware of the disease and its symptoms, what preventive measures they are taking, whether people are following government guidelines, etc. The experiments have been conducted on the collected data related to COVID-19 tweets from all over the world. This study was conducted to understand how people from different infected countries cope with the situation


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nlp, sentiment analysis,

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  Paper Title: WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108472

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108472

  Register Paper ID - 211445

  Title: WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING

  Author Name(s): ASWINI THOTA, P. SRINIVASA REDDY

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e216-e221

 Year: August 2021

 Downloads: 751

 Abstract

Neural networks have become increasingly popular for the task of language modeling. Whereas feed-forward networks only exploit a fixed context length to predict the next word of a sequence, conceptually, standard recurrent neural networks can take into account all of the predecessor words. On the other hand, it is well known that recurrent networks are difficult to train and therefore are unlikely to show the full potential of recurrent models. These problems are addressed by the Long Short-Term Memory neural network architecture. In this work, we analyze this type of network on an English and a large French language modeling task. Experiments show improvements of about 8% relative in perplexity over standard


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WORD BASED PREDICTION USING LSTM NEURAL NETWORKS FOR LANGUAGE MODELING

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  Paper Title: STUDIES ON FLORISTIC DIVERSITY ANALYSIS OF TROPICAL SEMI EVERGREEN FOREST OF NARASAPUR, MEDAK DIST, TELANGANA STATE, INDIA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108471

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108471

  Register Paper ID - 211414

  Title: STUDIES ON FLORISTIC DIVERSITY ANALYSIS OF TROPICAL SEMI EVERGREEN FOREST OF NARASAPUR, MEDAK DIST, TELANGANA STATE, INDIA

  Author Name(s): Dr. S. Vijaya

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e207-e215

 Year: August 2021

 Downloads: 778

 Abstract

The present paper aimed to study the floristic diversity of Narasapur Reserve Forest dominated forest of Telangana State. Floral diversity patterns of vascular plant species were studied along with the geographical gradients in the Areas of tropical regions of Narasapur Reserve Forest. Narasapur Reserve Forest is located in and around Narasapur town in Medak District. The area of the block is 1752.33 hectares. Vegetation data were sampled from two moist evergreen and deciduous forest fragments. The patterns of plant diversity were evaluated on the basis of species richness as the total number of species at each site and species change between and within sites and in relation to vegetation structure. During the field trips and research it is found the field area is inhabited by various types of plants like Tecton grandis;Terminalia arjuna;Ficus recemosa; Terocarpus marspium; Annona squamosal; Aerva lanata; Crotalaria junceae etc. A total of 66 species belonging to 35 families were recorded. The quantitative features such as density and importance value index of species varied greatly. In the present study the diversity index of shrubs and herbs were found to be higher than the tree species. The forest has very thick canopy and many hillocks. The concentration of dominance was recorded highest in the tree species. The presence of low number of higher girth class of tree species and higher number of the saplings and seedlings indicates that the present forest is young exhibiting frequent regeneration


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Evergreen Forest, Narasapur Reserve Forest, deciduous, forests, floristic diversity, and species diversity

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  Paper Title: FACE DETECTION BASED ATTENDANCE SYSTEM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108470

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108470

  Register Paper ID - 211420

  Title: FACE DETECTION BASED ATTENDANCE SYSTEM

  Author Name(s): GURRAM VIMALA, B. N. SRINIVASA GUPTA

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e201-e206

 Year: August 2021

 Downloads: 765

 Abstract

Automatic face recognition (AFR) technologies have seen dramatic improvements in performance over the past years, and such systems are now widely used for security and commercial applications. An automated system for human face recognition in a real time background which can be useful for a college to mark the attendance of their students. So using Real Time Face Recognition is a real world solution which comes with day to day activities of handling various activities. The task is very difficult as the real time background subtraction in an image is still a challenge. To detect real time human face are used and a simple fast Principal Component Analysis has used to recognize the faces detected with a high accuracy rate. The matched face is used to detect accurate user .Our system maintains the collection of user facial features as datasets and use them for verification. information they.


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FACE DETECTION BASED ATTENDANCE SYSTEM

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  Paper Title: THE EFFECT OF COVID-19 OUTBREAK ON THE QUALITY EDUCATION; SOCIAL WORK ROLE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2108469

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2108469

  Register Paper ID - 211435

  Title: THE EFFECT OF COVID-19 OUTBREAK ON THE QUALITY EDUCATION; SOCIAL WORK ROLE

  Author Name(s): Rajesh Tamang

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 8

 Pages: e195-e200

 Year: August 2021

 Downloads: 759

 Abstract


Licence: creative commons attribution 4.0

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 Keywords

Key words: COVID-19, Quality education, social work, students, implication level

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About IJCRT

The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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