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Volume 12 | Issue 4 |

Volume 12 | Issue 4 | Month  
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  Paper Title: SEAT BELT IMPLEMENTATION USING CAPL SCRIPTING

  Author Name(s): Dr.N.Karthik, S.Rambabu, G.Vinay Kumar, G.Vignesh

  Published Paper ID: - IJCRT24A4790

  Register Paper ID - 258713

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4790 and DOI :

  Author Country : Indian Author, India, 522101 , Bapatla , 522101 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4790
Published Paper PDF: download.php?file=IJCRT24A4790
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4790.pdf

  Your Paper Publication Details:

  Title: SEAT BELT IMPLEMENTATION USING CAPL SCRIPTING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p627-p631

 Year: April 2024

 Downloads: 72

  E-ISSN Number: 2320-2882

 Abstract

This approach not only increases time to market, but also ensures that the asset is reliable and meets safety and quality standards. Additionally, SIL simulation facilitates collaboration between different teams, accelerates process improvement, and encourages innovation in vehicle design. Rapid advances in technology require advanced techniques for designing and implementing complex systems such as measuring devices. Software-in-the-loop (SIL) simulation has become an important technology to improve the efficiency and accuracy of the development process. network integration


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 Keywords

Seat belt monitoring, CAPL scripting, Automotive safety, Electronic control units, Communication protocols.

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  Paper Title: THE FUTURE OF 5G WIRELESS SYSTEMS

  Author Name(s): Pappu Kumar Yadav, Mantosh Kumar

  Published Paper ID: - IJCRT24A4789

  Register Paper ID - 258641

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4789 and DOI : http://doi.one/10.1729/Journal.39142

  Author Country : Indian Author, India, 302028 , jaipur, 302028 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4789
Published Paper PDF: download.php?file=IJCRT24A4789
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4789.pdf

  Your Paper Publication Details:

  Title: THE FUTURE OF 5G WIRELESS SYSTEMS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39142

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p617-p626

 Year: April 2024

 Downloads: 88

  E-ISSN Number: 2320-2882

 Abstract

The probe paper named" The Future of 5G Wireless Systems Trends, Challenges, and operations" delves into the vital part of 5G technology in revolutionizing telecommunications. pressing its significance, 5G wireless systems promise unequaled advancements over former generations, boasting briskly data rates,ultra-low quiescence, and massive device connectivity. These attributes fuel a multitude of operations gauging colorful sectors, including healthcare, transportation, manufacturing, and smart metropolises. Examining crucial trends, the paper underscores the global instigation in 5G deployment, underlined by substantial investments in structure and diapason allocation. still, challenges impend large, encompassing diapason failure, structure costs, cybersecurity vulnerabilities, and nonsupervisory hurdles. Despite obstacles, the implicit operations of 5G are immense. From empowering IoT ecosystems to enabling independent vehicles and easing remote healthcare services, 5G unlocks a diapason of innovative possibilities. In conclusion, the paper accentuates the transformative eventuality of 5G wireless systems. By navigating challenges and employing arising trends, stakeholders can subsidize on 5G's capabilities to usher in a new period of connectivity, invention, and socioeconomic growth.


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 Keywords

Wireless Systems,ultra-low quiescence, transportation, 5G deployment, cybersecurity , nonsupervisory , stakeholders

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  Paper Title: BREAST CANCER DETECTION AND PREVENTION USING (Convolutional Neural Network)

  Author Name(s): Gayatri Suryawanshi, RITESH SHARMA, Nitish Kumar

  Published Paper ID: - IJCRT24A4788

  Register Paper ID - 258637

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4788 and DOI :

  Author Country : Indian Author, India, 411014 , Pune, 411014 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4788
Published Paper PDF: download.php?file=IJCRT24A4788
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4788.pdf

  Your Paper Publication Details:

  Title: BREAST CANCER DETECTION AND PREVENTION USING (CONVOLUTIONAL NEURAL NETWORK)

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p610-p616

 Year: April 2024

 Downloads: 100

  E-ISSN Number: 2320-2882

 Abstract

The effectiveness of the majority of traditional classification systems depends on accurate data representation, and a large portion of the work is focused on feature engineering, a challenging and drawn-out procedure that leverages previous expert domain knowledge of the data to produce valuable features. However, deep learning does not require a domain expert to construct feature extractors; instead, it can extract and arrange the discriminative information from the data. The research community and industry have taken an interest in Convolutional Neural Networks (CNNs), a specific kind of deep, feedforward network that has shown empirical success in tasks like speech recognition, signal processing, object recognition, natural language processing, and transfer learning. To guarantee the efficacy of the model, the project carries out extensive data exploration, visualization, and preprocessing procedures in this work. The suggested model architecture performs well and classifies medical images with a high degree of accuracy. The findings demonstrate the potential of deep learning methods to support medical practitioners in the diagnosis and planning of diseases.


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 Keywords

Key words: medicine; breast cancer The World Wide Web. applications in healthcare. algorithm for machine learning. Transfer learning, CNN.

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  Paper Title: Rich Locale, But Risked Populace: A Stocktaking Of The Impacts Of Industrial Displacement On Tribal In Odisha

  Author Name(s): Susmita Shubhadarshini Rath, Dr. Navaneeta Rath

  Published Paper ID: - IJCRT24A4787

  Register Paper ID - 258518

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4787 and DOI :

  Author Country : Indian Author, India, 755004 , Bhubaneswar, 755004 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4787
Published Paper PDF: download.php?file=IJCRT24A4787
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4787.pdf

  Your Paper Publication Details:

  Title: RICH LOCALE, BUT RISKED POPULACE: A STOCKTAKING OF THE IMPACTS OF INDUSTRIAL DISPLACEMENT ON TRIBAL IN ODISHA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p599-p609

 Year: April 2024

 Downloads: 57

  E-ISSN Number: 2320-2882

 Abstract

Post-independence industrialisation and aggressive industrialisation with the onset of globalisation have led to rubbed development in the tribal inhabited areas of the state. It has been a continuous observation that industrial development in Odisha has proved to be detrimental to the tribal population by uniformly affecting their human rights, quality of life, and security in myriad forms. Industries have been established in the hinterlands of the state rich in terms of physical and human resources. These hinterlands are the tribal terrains dominated by the native tribals. The state in the pursuit of capitalist ideology has overlooked the human rights of the human rights and the protocols of human rights. The present paper through a meta-synthesis of the studies undertaken on the issue tries to establish how rich lands being under industrial invasions under state patronage crate risk populace in the tribal landscape of the state. It tries to establish the trajectory of industrial development in the state, sketching the tribal situation, industry-led displacement scenario, and the way that affects tribal rights. The article concludes the carnage of tribal lives through industrial invasions and appeals to the system of governance to make a shift from the profit-centric growth approach to a people-centric distributive development and to echo the voices of the tribal, accommodate their needs and to prioritize their basic rights in any industry induced displacement planning and designing.


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 Keywords

Industrialisation, Displacement, Tribal, Indigenous Rights, Resettlement & Rehabilitation, Policy

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Formulation And Evaluation of Herbal Aloe-vera Kajal

  Author Name(s): Mrs. Shivani Samarth, Mr. Rohan Raghunath Mane, Ms. Pradnya Annasaheb Kumbhar, Ms. Bhakti Pandurang Kale

  Published Paper ID: - IJCRT24A4786

  Register Paper ID - 258563

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4786 and DOI :

  Author Country : Indian Author, India, 416118 , Kolhapur, 416118 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4786
Published Paper PDF: download.php?file=IJCRT24A4786
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4786.pdf

  Your Paper Publication Details:

  Title: FORMULATION AND EVALUATION OF HERBAL ALOE-VERA KAJAL

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p595-p598

 Year: April 2024

 Downloads: 76

  E-ISSN Number: 2320-2882

 Abstract

In India, kohl has been used for cosmetic purposes for centuries it is use as cosmetic and treats the eye Problem Herbal kohl is a product used as a medicine because a cosmetic was a new prescribing method. Kajal is mainly used for eye makeup. The aim of the preparing formulation that is medicated herbal kajal is to treat eye inflammation and eliminate redness of the eye. The medicinal products Aloe-vera, Camphor, Almond oil, Coconut oil and Ghee are used to formulate the herbal kajal. the black soot (kajal powder) is prepared by using copper plate and evaluated by microbial activity


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 Keywords

Kajal, Kohl, Aloe-vera, Camphor, Anti-inflammatory

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  Paper Title: Evaluation of Cyber Security Threats and its impact on Social Mental Health

  Author Name(s): Dr. Nimbalkar A.B, Manisha Gadekar

  Published Paper ID: - IJCRT24A4785

  Register Paper ID - 258554

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4785 and DOI :

  Author Country : Indian Author, India, 411028 , Hadapsar, Pune, 411028 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4785
Published Paper PDF: download.php?file=IJCRT24A4785
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4785.pdf

  Your Paper Publication Details:

  Title: EVALUATION OF CYBER SECURITY THREATS AND ITS IMPACT ON SOCIAL MENTAL HEALTH

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p584-p594

 Year: April 2024

 Downloads: 81

  E-ISSN Number: 2320-2882

 Abstract

Crime is nothing but illegal behavior or activities and which people are punished. Cyber-crime is nothing but person who has done something illegal or criminal activity that either victim or uses a computer or laptop, a computer network or a networked device. Cybercrime is committed by cyberpunk (cyber-criminals or cyber crooks) or hackers who want to make money. Cyber-crime aims to harm or destruction computers or networks for reasons other than profit, these could be political or personal. Cyber-crime can be executed by individuals or organizations. Some cyber crooks are organized, use advanced techniques and are highly technically skilled. Others person who is beginning to learn a job or an activity and has little or no experience or skill in it.


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 Keywords

Cyber-attack, Digital, Education, Threat, Type of Crime

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  Paper Title: Stock Price Prediction Using Machine Learning

  Author Name(s): Vaishnavi Goswami, Jiya Manjulkar

  Published Paper ID: - IJCRT24A4784

  Register Paper ID - 258732

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4784 and DOI :

  Author Country : Indian Author, India, 411014 , pune, 411014 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4784
Published Paper PDF: download.php?file=IJCRT24A4784
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4784.pdf

  Your Paper Publication Details:

  Title: STOCK PRICE PREDICTION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p575-p583

 Year: April 2024

 Downloads: 90

  E-ISSN Number: 2320-2882

 Abstract

Accurate stock price prediction is a challenging task due to the inherent complexity and volatility of financial markets. However, the availability of large historical datasets and advancements in machine learning algorithms have opened up new possibilities for developing predictive models.


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 Keywords

Machine Learning, Stock Price, Prediction, American Airlines, Support Vector Machine (SVR), Artificial Neural Network (ANN), Random Forest (RF), Decision Tree (DT).

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  Paper Title: NOAA SATELLITE IMAGE RECEPTION USING QFH ANTENNA

  Author Name(s): TEJASWI B.SONAWANE, ANKITA M.KADAM, SRUSHTI B.WALHEKAR, Prof.S.B.KAMBLE

  Published Paper ID: - IJCRT24A4783

  Register Paper ID - 258583

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4783 and DOI :

  Author Country : Indian Author, India, 412201 , Loni Kalbhor, 412201 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4783
Published Paper PDF: download.php?file=IJCRT24A4783
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4783.pdf

  Your Paper Publication Details:

  Title: NOAA SATELLITE IMAGE RECEPTION USING QFH ANTENNA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p571-p574

 Year: April 2024

 Downloads: 86

  E-ISSN Number: 2320-2882

 Abstract

Satellite imaging is widely used to monitor weather and interpret satellite images. Time limitation in accessing weather satellite image data is still a major problem for satellites. Automatically send images on 137.9125 MHz and 137.1000 MHz. NOAA 18 and NOAA 19 weather frequencies. In this study, data was collected with the help of a quadrangular helical antenna and RTL-SDR. Four-line H satellite imaging to obtain these two frequencies is widely used to monitor weather and interpret satellite images. Limiting immediate access to weather satellite imagery is still a major challenge for the 137.5 MHz design elix antenna. Use WXtoImg software to collect, analyze, edit and display automated transmission images. Although the automatic transmission image of NOAA 18 received a frequency shift of 0.0685% and NOAA 19 had a frequency shift of 0.0686%, the results are clear enough and explainable. Use WXtoImg software to collect, analyze, edit and display automated transmission images. The results show that although there is a difference of 0.0685% and a frequency shift of 0.0686% in the automatic transmission images received by NOAA 18 and NOAA 19, the received weather satellite images are clear and descriptive enough.


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 Keywords

QFH Antenna,NOAA,Satelite Pass,Doppler shift,SDR,WXTOIMG,Demodulation,Orbit Prediction,Polarization

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Socio-Economic Conditions of Migrants - A Study in Drought Prone Area

  Author Name(s): Dr. K. Somasekhar

  Published Paper ID: - IJCRT24A4782

  Register Paper ID - 258572

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4782 and DOI :

  Author Country : Indian Author, India, 522508 , Guntur, 522508 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4782
Published Paper PDF: download.php?file=IJCRT24A4782
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4782.pdf

  Your Paper Publication Details:

  Title: SOCIO-ECONOMIC CONDITIONS OF MIGRANTS - A STUDY IN DROUGHT PRONE AREA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p559-p570

 Year: April 2024

 Downloads: 75

  E-ISSN Number: 2320-2882

 Abstract

India is predominantly an agricultural economy. Although agriculture accounts for more than 65% of employment, it has been growing only at 3.3% compared to industry's 7.5% per year. Drought conditions have lead to crop failure, mounting debts chronic unemployment ultimately compelled to distress migration Anantapur district in Andhra Pradesh is one such district where drought conditions are prevailing consistently over many years. The present paper analyses the adverse impact of drought conditions leading to migration and facing problems in search of employment in urban areas and its effect on their Socio-Economic conditions.


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 Keywords

Drought Conditions, Chronic unemployment, Debts, Migration, Socio-Economic conditions

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  Paper Title: Unearthing India's Young Genius: A Data-Driven Exploration

  Author Name(s): Dr A Kanimozhi, Nithyasree V, Vidhyalakshmi R

  Published Paper ID: - IJCRT24A4781

  Register Paper ID - 258373

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT24A4781 and DOI : http://doi.one/10.1729/Journal.39169

  Author Country : Indian Author, India, 600064 , Chennai, 600064 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A4781
Published Paper PDF: download.php?file=IJCRT24A4781
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A4781.pdf

  Your Paper Publication Details:

  Title: UNEARTHING INDIA'S YOUNG GENIUS: A DATA-DRIVEN EXPLORATION

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.39169

 Pubished in Volume: 12  | Issue: 4  | Year: April 2024

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 12

 Issue: 4

 Pages: p553-p558

 Year: April 2024

 Downloads: 75

  E-ISSN Number: 2320-2882

 Abstract

Global education is currently in high demand worldwide. Today, access to education is no longer limited by national lines but has spread globally. The exodus of highly skilled individuals, termed as "brain drain,"[1] has several negative effects on developing countries. If students return to their home country after receiving expertise in aspects such as technology, healthcare, engineering products, and strategic planning, there is a scope for technical and economic progress in the parent country that will be on par with developed nations. We develop a predictive model to forecast future brain drain trends based on current factors such as Economic Growth and Job Opportunities, Salary and Compensation Packages, Global Mobility and Connectivity, and Government Policies and Initiatives. A regression model, such as linear regression, or response surface model will help us forecast the number of immigrants and assess the influence of various factors. This analysis could help in anticipating potential challenges. Future iterations can offer more customization that might support social policymakers in their decision-making about brain drain.


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 Keywords

Brain drain, developing countries, migration, regression analysis.

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