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Volume 10 | Issue 4

Volume 10 | Issue 4 | Month  
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  Paper Title: AN OVERVIEW OF MOBILE FORENSIC INVESTIGATION PROCESS MODELS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204650

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204650

  Register Paper ID - 218988

  Title: AN OVERVIEW OF MOBILE FORENSIC INVESTIGATION PROCESS MODELS

  Author Name(s): Pawan Madhukar Pawar

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f761-f764

 Year: April 2022

 Downloads: 332

 Abstract

Mobile Forensics (MF) field uses prescribed scientific approaches with a focus on recovering Potential Digital Evidence (PDE) from mobile devices leveraging forensic techniques. Consequently, increased proliferation, mobile-based services, and the need for new requirements have led to the development of the MF field, which has in the recent past become an area of importance. In this article, the authors take a step to conduct a review on Mobile Forensics Investigation Process Models (MFIPMs) as a step towards uncovering the MF transitions as well as identifying open and future challenges. Based on the study conducted in this article, a review of the literature revealed that there are a few MFIPMs that are designed for solving certain mobile scenarios, with a variety of concepts, investigation processes, activities, and tasks. A total of 100 MFIPMs were reviewed, to present an inclusive and up-to-date background of MFIPMs. Also, this study proposes a Harmonized Mobile Forensic Investigation Process Model (HMFIPM) for the MF field to unify and structure whole redundant investigation processes of the MF field. The paper also goes the extra mile to discuss the state of the art of mobile forensic tools, open and future challenges from a generic standpoint. The results of this study find direct relevance to forensic practitioners and researchers who could leverage the comprehensiveness of the developed processes for investigation.


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Mobile forensics, investigation process model, digital forensics

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  Paper Title: SYUDY OF CONSUMER BEHAVIOUR TOWARDS ONLINE AND OFFLINE SHOPPING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204649

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204649

  Register Paper ID - 218953

  Title: SYUDY OF CONSUMER BEHAVIOUR TOWARDS ONLINE AND OFFLINE SHOPPING

  Author Name(s): Aishwarya K Raut

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f755-f760

 Year: April 2022

 Downloads: 326

 Abstract


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Consumer, e-commerce, online, retailer, internet

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  Paper Title: QR CODE IMPLEMENTATION IN CAR PARKING LOCATOR

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204648

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204648

  Register Paper ID - 218979

  Title: QR CODE IMPLEMENTATION IN CAR PARKING LOCATOR

  Author Name(s): Manjyot Kaur Gill, Prajakata Gotarne

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f753-f754

 Year: April 2022

 Downloads: 322

 Abstract

In this paper, implement a system that enables drivers to seek out parking slots online and reserve them. The drivers use this technique on their personal devices. It eliminates the drawbacks of existing systems just like the use of RFID, LED, and IR sensors. In this system, drivers can reserve the parking slot in a particular zone, checking the free slots and reserving them as per their requirements of the vehicle. Further, the QR code is generated that encodes the distinctive details of the user. QR code is used for encryption and to ease the method of authentication. Thus by using this technique it may be very useful to cut back the load on the driver as well as to reduce traffic on road and may be helpful to park the vehicle within the peak hours.


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Keywords-Smart Parking System (SPS), Radio Frequency Identification (RFID), Infrared Sensors (IR), GSM (Global System for Mobile communication), Infrared (IR) light, NarrowBand- Internet of Things (NB-IoT)

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  Paper Title: TRACING PLATO'S CONCEPT OF IMAGINATION AND FALSEHOOD IN TENNESSEE WILLIAMS PLAY 'THE GLASS MENAGERIE'

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204647

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204647

  Register Paper ID - 218956

  Title: TRACING PLATO'S CONCEPT OF IMAGINATION AND FALSEHOOD IN TENNESSEE WILLIAMS PLAY 'THE GLASS MENAGERIE'

  Author Name(s): Ayushi Singh

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f713-f752

 Year: April 2022

 Downloads: 361

 Abstract


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Plato, Aristotle, Tennessee William, Imagination, falsehood, theory of form, The Glass Menagerie, illusion, memory, characters, setting.

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  Paper Title: A DEEP LEARNING MODEL FOR FACE MASK DETECTION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204646

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204646

  Register Paper ID - 218970

  Title: A DEEP LEARNING MODEL FOR FACE MASK DETECTION

  Author Name(s): Lakshya Choudhary, Sachin Sharma

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f709-f712

 Year: April 2022

 Downloads: 347

 Abstract

Corona Virus is a big and dynamic threat to us humans. Now, the whole world is trying to lessen the spread of Covid-19. Wearing masks in a proper way is one of the practices that helps to control the transmission of the virus according to the notable World Health Organization. However, to ensure that all people wear a facemask is a very gigantic task. To prevent the spread of illness, face masks must be used, and cells should be killed or eliminated utilising available therapies such as surgery, radiotherapy, chemotherapy, and others. 30,000 people die each year, according to estimates. Early detection procedures are critical in lowering the mortality rate. X-rays, MRIs, CT scans, ultrasounds, and other imaging techniques are utilised for this. In this research paper, we propose a very simple and effective model for real-time monitoring through the convolution neural of networks to detect if an individual wears a face mask or not. This model is trained, validated, tested upon two datasets. Corresponding to dataset the accuracy of the model was 95.77% and, it was 94.58% for dataset.


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Face mask, Convolution neural network, deep learning, TensorFlow.

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  Paper Title: THE ROLE AND EMOTIONS OF WOMEN IN THE SOCIO-ECONOMIC DEVELOPMENT OF KERALA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204645

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204645

  Register Paper ID - 218966

  Title: THE ROLE AND EMOTIONS OF WOMEN IN THE SOCIO-ECONOMIC DEVELOPMENT OF KERALA

  Author Name(s): Mrs. Sisy Pappan

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f704-f708

 Year: April 2022

 Downloads: 299

 Abstract

Woman play indispensable role in various spheres of her life.Without the woman, the family and, subsequently, the larger society, cannot function properly.This paper examines the struggles of the female gender in the light of the socio-cultural realities of the traditional kerala society from a feminist perspective.The main objectives of the study is to examine the contributions of women in the socio-economic development of kerala and to describe the role of women in the development of the state.The paper also indented to explore the role and emotions of women and also to discuss the role of women in society.


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Socio-economic development, Feminism, Role.

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  Paper Title: THE RISE AND IMPACT OF COVID-19 IN INDIA

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204644

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204644

  Register Paper ID - 218934

  Title: THE RISE AND IMPACT OF COVID-19 IN INDIA

  Author Name(s): Dr. Neha Yadav

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f696-f703

 Year: April 2022

 Downloads: 288

 Abstract


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Covid-19, pandemic, syndrome, strategies, treatment, Health

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  Paper Title: CROWD MANAGEMENT FOR SUPERMARKET TO ENSURE SOCIAL DISTANCING USING ANDROID

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204643

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204643

  Register Paper ID - 218636

  Title: CROWD MANAGEMENT FOR SUPERMARKET TO ENSURE SOCIAL DISTANCING USING ANDROID

  Author Name(s): Yashashree P. Chogale, Charan Tandel, Sourabh Dahate

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f691-f695

 Year: April 2022

 Downloads: 317

 Abstract

At the present time, due to covid-19 situation it is risky to leave home for any purpose. As this disease spreads rapidly from people who are in close contact with the infected person. The precautions of this disease is to maintain social distance and avoid going to crowded places like Cinema hall, Malls, Market, etc. But it is very difficult to manage crowds from these places. In this paper, we design a new token system which is able to maintain crowds from crowded places. This technology can help to overcome this problem. This system helps us by allowing a limited number of people in supermarket by giving them a fixed time slot. In this we create a mobile app for users. After user login, if the user wants to do shopping first he has to search a supermarket. Before going to the supermarket the user has to book a slot online. Then check if a time slot is available in that supermarket or not. If a user wants to continue he has to proceed for a booking time slot. After the booking is done the system generates the barcode of that supermarket at that time for the user. Then the user has to visit the supermarket in a given time. User has to scan the barcode at the time of entering the supermarket and the timer of the user starts for shopping. User has to finish shopping before the time given to the user. If the user given time is less than 15 minutes, the user gets notification to hurry up. If a user does not complete shopping in a given time he has to pay a fine for taking extra time else he has no fine and user shopping completed. From this system we are able to maintain social distance possible on a better scale. The main aim of this system is to avoid crowds by giving a fixed time slot to customers and a system that integrates alert notification via SMS to be sent to customers at the counter on given time.


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Android, SQLyog, Spyder, Barcode Scanner, Reward Points

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  Paper Title: VEHICLE DETECTION SYSTEM & COUNTING OF VEHICLES IN STILL IMAGES USING DEEP LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204642

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204642

  Register Paper ID - 218820

  Title: VEHICLE DETECTION SYSTEM & COUNTING OF VEHICLES IN STILL IMAGES USING DEEP LEARNING

  Author Name(s): Pallavi Hiwarkar, Damini Bambal, Rishabh Roy

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f684-f690

 Year: April 2022

 Downloads: 377

 Abstract

Vehicle detection and counting are turning out to be progressively significant in the field of Highway management. In any case, because of the various sizes of vehicles, their identification stays a test that straight forwardly influences the exactness of vehicle counts. To resolve this issue, we propose a vehicle detection system and counting framework. In the proposed vehicle detection and counting system we uses Yolov3 for vehicle detection and counting of vehicles from still images that can detect, classify and count numerous vehicles from CCTV footage. This system is implemented in Google Colab and any recorded video of Vehicles is used to test it. The execution time is 5 minutes, with 99% accuracy.


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YOLOv3, CNN, Deep Learning, MAD Technique, R-CNN, Fast R-CNN.

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  Paper Title: SMART TRAFFIC CONTROLLER

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204641

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204641

  Register Paper ID - 218816

  Title: SMART TRAFFIC CONTROLLER

  Author Name(s): Adesh Ganpati Medhe, Pavan Panditrao Ghuge, Swarupa Gajanan Veturlekar, Rushikesh Rajendra Khorate

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f680-f683

 Year: April 2022

 Downloads: 308

 Abstract

Traffic congestion is a serious problem in every city. Most of the time in traffic is spent waiting for the red signal to turn green. The changing of traffic light is hard coded and it does not depend on the traffic volume. The system we have created tries to minimize the possibility of traffic jams at a reasonable degree. In our system we have used the Arduino, Cameras and LED lights. Image processing is used to count the number of cars present on each road. Depending upon to the count of cars the signal timing will be varied and thus the amount of waiting time will be reduced. Hence, this system will minimize the traffic problem at a considerable level.


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Arduino, OV7670 Camera, LED, Traffic

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  Paper Title: SURVEILLANCE MONITORING USING ESP-32 CAM MODULE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204639

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204639

  Register Paper ID - 218802

  Title: SURVEILLANCE MONITORING USING ESP-32 CAM MODULE

  Author Name(s): K.Nikhil, K.Ranjitha reddy, A.Mounika, P.Reddy sekhar, M.Reddy siva sai

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f660-f665

 Year: April 2022

 Downloads: 427

 Abstract


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Surveillance, Security, Intrusion, Wi-Fi, User, Notification

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  Paper Title: ASSESSMENT OF THE INITIAL TRAUMA EMERGENCY MANAGEMENT IN THE TERTIARY CARE HOSPITAL

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204638

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204638

  Register Paper ID - 218854

  Title: ASSESSMENT OF THE INITIAL TRAUMA EMERGENCY MANAGEMENT IN THE TERTIARY CARE HOSPITAL

  Author Name(s): Rishabh Kumar Jain, Dr. Sindhu Thomas, Dr. Sagar sinha

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f653-f659

 Year: April 2022

 Downloads: 308

 Abstract

Introduction Trauma is a quite common cause of increased mortality and life-threatening conditions. According to WHO, by 2030, trauma will be the fifth leading cause of death worldwide. Trauma can be caused by a variety of factors, such as rash driving, talking on the phone while driving, and working in an unsafe and unprotective environment. Trauma victims require immediate resuscitation and early trauma detection to improve their chances of survival. Trauma initial evaluation is useful for assessing the patient, determining the patient's needs, and monitoring bio-physiological parameters that aid in the prevention of bleeding or missing injuries Methodology A descriptive quantitative observational design is used in this study, and a non-probability purposive sampling technique is used to validate the initial trauma tool. 90 samples were drawn from the emergency department of a specific hospital. Results According to this study, 52.2 percent of polytrauma patients are between the ages of 18 and 38. There is an increase in the incidence of trauma in males (81.1 percent), as well as an increase in the number of road traffic accidents (81.1 percent) and Patients with head trauma accounted for 70%. All polytraumatic patients requiring Orthopedic and Neurologic consultation. Conclusion Through the primary and secondary survey, the initial trauma assessment tool can help to quickly identify the attention to injury and immediate resuscitation of the patient and help to make decisions in the triaging. After using this tool on the patient, the mortality rate before the patient's disposition has decreased.


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Polytrauma, initial assessment, resuscitation, mortality

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  Paper Title: HOUSE PRICE PREDICTION ANALYSIS USING MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204637

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204637

  Register Paper ID - 218809

  Title: HOUSE PRICE PREDICTION ANALYSIS USING MACHINE LEARNING

  Author Name(s): Aniket Singh, Adarsh Kumar Singh, Aditya Raj, Harshit Jain, Mrs. Asha MS

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f648-f652

 Year: April 2022

 Downloads: 352

 Abstract

House Prices changes dynamically according to the locality and other factors. In the present paper we discuss about the house pricing that is generated by machine learning algorithm considering all the factors that affect the prices. It help the sellers as well as buyers.


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Linear Regression, Machine Learning, Histogram

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  Paper Title: CLASSIFICATION OF HARMFUL ALGAE USING ARTIFICIAL INTELLIGENCE TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204636

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204636

  Register Paper ID - 218843

  Title: CLASSIFICATION OF HARMFUL ALGAE USING ARTIFICIAL INTELLIGENCE TECHNIQUES

  Author Name(s): Bhagyashree Ratnakar Abhyankar, Dr.V.L Agrawal

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f642-f647

 Year: April 2022

 Downloads: 305

 Abstract

A "red tide" is a typical term utilized for an unsafe algal bloom. A standout amongst the best known HABs in the country happens about each midyear along Florida's Gulf Coast. This bloom, in the same way as other HABs(Harmful Algae Algal blossom), is brought about by infinitesimal Harmful Algae that produce poisons that murder fish and make shellfish hazardous to eat. With the goal that Red tide, a danger to marine condition, has been a significant issue all around as of late. The species and the number of inhabitants in red tide algae are two key lists to anticipate red tide flare-up. Previously, the assignment to perceive and characterize red tide green growth was attempted by marine environmentalists and taxonomists with magnifying instruments physically, which is tedious and requires considerable pro learning. To beat the restrictions of conventional red tide algal testing instruments, a robotized Harmful Algae order framework is out of luck. The Efficient classifiers in light of utilizing WHT change with Generalized feed forward (GFF) Neural Network. Another Cross-Validation dataset is utilized for credible examination of the proposed assembling calculation concerning essential execution measures, for example, MSE and solicitation exactness. The Average Classification Accuracy of GFF Neural Network containing one hidden layers with 17 PE's managed in a standard topology supposedly is unrivaled (97.50%) for Training and cross-approval. At long last, flawless tally has been conveyed reliant on the best classifier execution.


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Neural solution, MatLab, Microsoft excel, five type of Harmful Algae Algae images.

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  Paper Title: CORRELATION OF ARM EXPLOSIVE STRENGTH WITH HANDBALL VELOCITY IN HANDBALL PLAYERS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204635

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204635

  Register Paper ID - 218845

  Title: CORRELATION OF ARM EXPLOSIVE STRENGTH WITH HANDBALL VELOCITY IN HANDBALL PLAYERS

  Author Name(s): Mansi Shah, Dr. Ujwal Yeole

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f639-f641

 Year: April 2022

 Downloads: 319

 Abstract

Handball is a dynamic contact sport in which throwing is important skill and players improve their chance of scoring by throwing ball as fast as possible. This study has been undertaken to evaluate the correlation of arm explosive strength with handball velocity in handball players. Bench press test[1RM] is used to assess the strength of upper extremity and handball throw test is used to assess handball throwing velocity. In this study total 30 male and female handball players were included. The study concluded that there is positive correlation between arm explosive strength with handball velocity in handball players.


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Arm throwing, Explosive strength, Bench press test [1RM], Handball throw test, Handball velocity.

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  Paper Title: REVIEW OF RETROFITTING OF SIMPLY SUPPORTED BEAM BY BFRP AND AFRP WRAPPING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204634

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204634

  Register Paper ID - 218846

  Title: REVIEW OF RETROFITTING OF SIMPLY SUPPORTED BEAM BY BFRP AND AFRP WRAPPING

  Author Name(s): SHAIKH ASIM GAFFAR, Prof. A.N. HUMNABAD

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f633-f638

 Year: April 2022

 Downloads: 314

 Abstract

Until recently, repair and retrofit options were limited and costly. The usual solution for a sick building is to add steel beams underneath sagging floors and a concrete topping. But while this method may achieve its objective, the cost, disruption to utility services, and unsightly steel work may be unacceptable to building occupants and owners. Rather than face these obstacles, some owners opt to tear down and start from scratch. Alternative retrofitting technique by FRP wrapping has an advantage due to lightweight, flexibility, non-welding, and easy handling in construction works. The most preferable retrofitting technique for the existing building being in use is jacketing RC columns with carbon or aramid fiber sheets because of the advantage above. Retrofitting of existing concrete structures has become an important issue nowadays in the construction industry. Such necessity had been caused by several factors, especially when concrete is subjected to severe environmental and loading conditions. In such situations, the remedy is either to demolish the existing structure and construct a new one or to retrofit the existing structure by an appropriate strengthening methodology. The analysis of simply supported concrete beam externally wrapped with aramid fiber reinforcement polymer (AFRP) and basalt fiber reinforcement polymer (BFRP) unidirectional sheet is carried out. The wrapped and unwrapped specimens were loaded. Result shows that externally wrapping of simply supported concrete beam by AFRP and BFRP sheets can significantly enhance flexural strength.


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Retrofitting, Compressive strength, Flexural strength, Basalt Fiber Reinforced Polymer (BFRP), Aramid Fiber Reinforced Polymer (AFRP), Compression Testing Machine (CTM), Universal testing machine (UTM)

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  Paper Title: RECOGNIZING THE IMPORTANCE OF COMMENTS ON ONLINE TESTS IN 21ST CENTURY STUDYING TESTS.

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204633

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204633

  Register Paper ID - 218874

  Title: RECOGNIZING THE IMPORTANCE OF COMMENTS ON ONLINE TESTS IN 21ST CENTURY STUDYING TESTS.

  Author Name(s): Vivek manhas, Saurabh kumar Jha, Ravi kant Sahu

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f627-f632

 Year: April 2022

 Downloads: 311

 Abstract

Research paper is about the comments on the online examination system and how persons react to the online exams. Types of response is given in the paper to check the knowledge of the student.


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  Paper Title: INVENTORY MANAGEMENT SYSTEM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204632

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204632

  Register Paper ID - 218875

  Title: INVENTORY MANAGEMENT SYSTEM

  Author Name(s): Rishabh gupta, Ashish, Aman yadav

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f619-f626

 Year: April 2022

 Downloads: 336

 Abstract

Online Inventory Management System is software which is useful for the companies that operate local stores, where store owners keep the records of sales and buy. The problem with the manual system is, it slows the business. This venture disposes of the executive work, human issues, manual postponement and accelerated process. Online Inventory Management System will have the ability to customer detail, track sales and available inventory, tell a store owner when it is time to reorder and how much to buy.


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Inventory system, software tool for inventory, inventory management system

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  Paper Title: STUDENT ACADEMIC GROWTH SYSTEM USING MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204631

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204631

  Register Paper ID - 218810

  Title: STUDENT ACADEMIC GROWTH SYSTEM USING MACHINE LEARNING

  Author Name(s): Juili Kadu, Hrutwika Ambavane, Deepali Surekar, Sachin Chavan

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f614-f618

 Year: April 2022

 Downloads: 314

 Abstract


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ML, Django, Students Performance

  License

Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: THE EFFECT OF LOW VERSUS HIGH LOAD RESISTANCE TRAINING ON SELECTED HEALTH RELATED PHYSICAL FITNESS ON THROWING EVENT ATHLETES IN UNIVERSITY LEVEL

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2204630

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2204630

  Register Paper ID - 218825

  Title: THE EFFECT OF LOW VERSUS HIGH LOAD RESISTANCE TRAINING ON SELECTED HEALTH RELATED PHYSICAL FITNESS ON THROWING EVENT ATHLETES IN UNIVERSITY LEVEL

  Author Name(s): YERRATHOTA RAVISANKAR BABU, GULIVINDALA LAXMANA RAO

 Publisher Journal name: IJCRT

 Volume: 10

 Issue: 4

 Pages: f609-f613

 Year: April 2022

 Downloads: 293

 Abstract


Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: physical fitness, high load, low load, resistance training, Dr.Y.S.R Horticulture University athletes.

  License

Creative Commons Attribution 4.0 and The Open Definition



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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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Call For Paper (Volume 12 | Issue 6 | Month- June 2024)

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


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