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

Volume 5 | Issue 3 |

Volume 5 | Issue 3 | Month  
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  Paper Title: ANALYSIS ON SIGNIFICANT EFFECT ON ADOLESCENTS MENTAL HEALTH AND ONLINE GAMING

  Author Name(s): SUMAN CHINTHALA, UDUTHALA KRISHNA, MUDDU MANASA, S.CHAITANYA

  Published Paper ID: - IJCRTV020041

  Register Paper ID - 231884

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020041 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020041
Published Paper PDF: download.php?file=IJCRTV020041
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020041.pdf

  Your Paper Publication Details:

  Title: ANALYSIS ON SIGNIFICANT EFFECT ON ADOLESCENTS MENTAL HEALTH AND ONLINE GAMING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: August 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 232-237

 Year: August 2017

 Downloads: 138

  E-ISSN Number: 2320-2882

 Abstract

Our emotional and social well-being are all part of our mental health. It has an impact on how we think, feel, and act. It also affects our stress management, social connections, and decision-making. Mental health is a concern for people of all ages, from childhood to adulthood. If you have had mental health problems at any point in your life, your thinking, emotions, and behaviour may be altered. Mental health is defined as the absence of mental illness or a state of psychological well-being.The goal of this study was to see how internet gaming affects teen mental health, as well as how gender affects mental health. There were 80 participants in the study, who were split into two groups: addicted and non-addictive. There are 40 people in each group (20 Boys and 20 Girls). Arun Kumar Singh and AlpanaSen Gupta created the mental health battery, which was used to assess mental health.The results of the study show that online gaming has significant effect on mental health (F- value 74.64) but gender differences are not found significant (F - value 2.2). On the basis of the result of this study it can be said that online gaming has significant effect on mental health, but there is no significant effect of gender on mental health. Thus, on the basis of our finding we are permitted to say that finding of present research may be applied for furtherutilities


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 Keywords

Social media, mental health, online gaming, gender

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  Paper Title: ROLE OF ALUMINUM 6063 IN AUTOMOBILE MANUFACTURING BY USING VARIOUS MOULDS ATTRIBUTES IN SAND CASTING PROCESS

  Author Name(s): Sannamani Shivangouda Sandeep,, Kumar Krishnamacharri, Thippeswamy Kumar Yashavanth, Gaigulla Ganesh

  Published Paper ID: - IJCRTV020040

  Register Paper ID - 231885

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020040 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020040
Published Paper PDF: download.php?file=IJCRTV020040
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020040.pdf

  Your Paper Publication Details:

  Title: ROLE OF ALUMINUM 6063 IN AUTOMOBILE MANUFACTURING BY USING VARIOUS MOULDS ATTRIBUTES IN SAND CASTING PROCESS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: August 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 227-231

 Year: August 2017

 Downloads: 119

  E-ISSN Number: 2320-2882

 Abstract

One of the most crucial steps in developing a product for the demands and happiness of the consumer is casting. The industrial world offers a variety of casting processes. Sand casting is one of the key casting techniques that is frequently used for both ferrous and non-ferrous materials. The range of molten metal's solidification determines the product quality in the sand casting process. A standard casting design method is necessary to prevent casting flaws including shrinkage, porosity, and hot tears during the solidification process, which may be accomplished by an experimental inquiry. Aluminum (6063) has recently assumed a significant position in the automotive, industrial, nuclear, and marine industries. In this paper, the various mopuld attrinutes are analyzed research articles are discussed.


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 Keywords

Sand Casting Process, Aluminum (6063), Design of Experiments, Hardness, ANSYS, ANN

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  Paper Title: A REVIEW OF MACHINE LEARNING-BASED TECHNIQUES FOR DETECTING CYBER ATTACKS OVER A NETWORK

  Author Name(s): Dr.T.Ravindar Reddy, A.Ragavendra Rao, Amitha Mishra, Amireddy Manasa

  Published Paper ID: - IJCRTV020039

  Register Paper ID - 231886

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020039 and DOI :

  Author Country : Foreign Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020039
Published Paper PDF: download.php?file=IJCRTV020039
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020039.pdf

  Your Paper Publication Details:

  Title: A REVIEW OF MACHINE LEARNING-BASED TECHNIQUES FOR DETECTING CYBER ATTACKS OVER A NETWORK

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: August 2017

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

 Subject Area: Science and Technology

 Author type: Foreign Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 221-226

 Year: August 2017

 Downloads: 111

  E-ISSN Number: 2320-2882

 Abstract

In contrast to the past, advancements in computer and communications technology have resulted in substantial and extensive changes. Despite its benefits, innovation can also generate problems for individuals, businesses, and governments. Examples include data security, data protection, and other concepts. Digital fear-based authoritarianism, a severe problem that plagues contemporary society, is founded on these problems. The level of digital fear has risen to the point where it poses a threat to both public safety and national security as a result of the support and empowerment given to groups like criminal gangs, skilled hackers, and digital activists. To keep the business safe from internet attacks, intrusion detection systems (IDS) have also been created. The most current CICIDS2017 dataset accuracy ratings for port sweep detection were 97.80 percent and 69.79 percent. The SVM computation, which is currently in use, had an effect on these percentages. Instead of using SVM, we may use alternative algorithms, such as random forest, CNN, and ANN, which will provide accuracies similar to those of SVM (93.29%), CNN (63.52%), and Random Forest (99.93%).


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 Keywords

Machine Learning, KDD, Cyber Security, Network, SVM, Random Forest.

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  Paper Title: SETTING THE POINT SPREAD FUNCTIONS OF ABERRATED OPTICAL SYSTEMS INTENSITY DISTRIBUTION TO YOUR NEEDS IN THE PRESENCE OF DEFOCUS

  Author Name(s): Malathi,, Nirmala Mary, P.Narendar

  Published Paper ID: - IJCRTV020020

  Register Paper ID - 231095

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020020 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020020
Published Paper PDF: download.php?file=IJCRTV020020
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020020.pdf

  Your Paper Publication Details:

  Title: SETTING THE POINT SPREAD FUNCTIONS OF ABERRATED OPTICAL SYSTEMS INTENSITY DISTRIBUTION TO YOUR NEEDS IN THE PRESENCE OF DEFOCUS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 112-116

 Year: September 2017

 Downloads: 120

  E-ISSN Number: 2320-2882

 Abstract

The radius of the first dark ring in the point spread function is important. One of the main merit functions connected to point spread functions is this one. Our research involves calculating the size of the first black ring in the produced point image's diffraction pattern. We have thought about amplitude and phase filters for shading apertures. The filter's impact on achieving the smallest feasible radius for the first dark ring, which in turn affects the resolving capabilities of optical imaging systems, has been studied in order to determine the ideal value of apodization for a particular aperture


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 Keywords

Rotationally Symmetric Systems, Hanning amplitude filters, Super- resolution

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  Paper Title: IMPORTANCE OF ROLE OF FINANCIAL DERIVATIVES IN RISK MANAGEMENT FOR BUSINESS EXCHANGING

  Author Name(s): P Venkatayya, I. Naresh, B.Raghu, Puvvada Anil

  Published Paper ID: - IJCRTV020019

  Register Paper ID - 231101

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020019 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020019
Published Paper PDF: download.php?file=IJCRTV020019
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020019.pdf

  Your Paper Publication Details:

  Title: IMPORTANCE OF ROLE OF FINANCIAL DERIVATIVES IN RISK MANAGEMENT FOR BUSINESS EXCHANGING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 105-111

 Year: September 2017

 Downloads: 488

  E-ISSN Number: 2320-2882

 Abstract

The goal of risk management is to manage risk, which involves picking the risks that the business is most at ease with and reducing the ones that it does not want. Financial derivatives were helpful in achieving risk management goals. Risks from conventional instruments may be effectively unbundled and controlled separately by using derivatives. Derivatives may save expenses and boost profits when used properly. Financial derivatives can be used to speculate by taking positions in anticipation of market movement or to hedge against undesirable risk. Organizations may now deliberately seek out certain risks and bet on the direction of interest-rate or exchange-rate fluctuations using financial derivatives, or they can use derivatives to protect themselves against unwelcome risk. Derivatives trading help improve market liquidity, raiseskills and knowledge among market players, and are vital ingredient of market reforms such as thetransition to rolling settlement. Derivatives trading include Futures contract, Option Contract, IndexFutures,IndexOptions,CommodityDerivatives,andSwaps.Whenusingfinancialderivatives,however, organizations should be careful to use only those instruments that they understand and that fitbest with their corporate risk management philosophy. The main objective of this paper is to study theimportance of derivative in risk management of the business.


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 Keywords

Derivatives, forwards, futures,options, swaps

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  Paper Title: INCREASING THE DETECTION AND PRECISION OF CYBER SECURITY OPERATIONS FOR IMPROVING DATA GATHERING AND MODEL RENEWAL SYSTEM USING MACHINE LEARNING TECHNOLOGY

  Author Name(s): M.Sangeetha, Dr. Ivsj Rama Rao, R Uttam Sai, G Jhansi

  Published Paper ID: - IJCRTV020018

  Register Paper ID - 231102

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020018 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020018
Published Paper PDF: download.php?file=IJCRTV020018
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020018.pdf

  Your Paper Publication Details:

  Title: INCREASING THE DETECTION AND PRECISION OF CYBER SECURITY OPERATIONS FOR IMPROVING DATA GATHERING AND MODEL RENEWAL SYSTEM USING MACHINE LEARNING TECHNOLOGY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 99-104

 Year: September 2017

 Downloads: 114

  E-ISSN Number: 2320-2882

 Abstract

In order to safeguard an organization's Internet security, security information and event management (SIEM) has been implemented to streamline the numerous preventative technologies and signal alerts for security problems. Inspectors of the SOC (Standards of Conduct) are looking into this (SOC). However, the bulk of the warnings are inaccurate, and SCO is unable to handle all of the information. Therefore, it may not be accurate to talk about malicious assaults and compromised hosts. Machine learning might be used to decrease the amount of false positives and enhance the output of SOC analysts. We have created a framework for engineer learning that is user-centered for the Internet Safety Functional Center. The usage of popular data sources, their operation, and how to transform that data into something usable for machine learning are all topics covered in SOC. People who should read this essay fall into one of two categories: Intelligent researchers who have no prior experience with data scientists or computer safety should be the first to develop machine learning methods for machine safety. Currently there are no machine learning experiences available for Internet security experts who have a deep grasp and proficiency in Cyber Security. The last example is a computer built in Seyondike's SOC manufacturing to show all aspects of data collection, label production, feature engineering, and a machine learning algorithm, as well as a sample evaluation of performance.


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 Keywords

Cyber Security, user-centered, SOC, Internet security, Machine learning etc

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  Paper Title: PREDICTION ON VARIANCE PERFORMANCE OPTIMIZATION OF PROCESS PARAMETERS OF NIMONIC USING MINITAB SOFTWARE

  Author Name(s): SHIVAKUMAR.GP, RAMASWAMI, T.JYOTSNA SANTHI, B. SURENDAR

  Published Paper ID: - IJCRTV020017

  Register Paper ID - 231103

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020017 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020017
Published Paper PDF: download.php?file=IJCRTV020017
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020017.pdf

  Your Paper Publication Details:

  Title: PREDICTION ON VARIANCE PERFORMANCE OPTIMIZATION OF PROCESS PARAMETERS OF NIMONIC USING MINITAB SOFTWARE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 92-98

 Year: September 2017

 Downloads: 105

  E-ISSN Number: 2320-2882

 Abstract

Because of its special characteristics, Nimonic/SU (263) is a nickel-based super alloy that is sought after in a variety of engineering and marine applications, including parts for gas and jet engines, steam turbines, and nuclear reactors. It can withstand high temperatures and is highly corrosion resistant and strong. Our research aims to identify the ideal process parameters, including speed, feed, DOC on the response variable, MRR, and surface roughness (Ra), for the turning operation on Nimonic/SU (263). In order to reduce the number of experimental trials, a L9 orthogonal array with various degrees of input parameters has been employed. In order to establish the best settings for a system, the signal to noise ratio is computed in relation to the quality features of the response variables. The Analysis of Variance is performed in order to predict the most significant parameter which affects the response variables and the end results are validated with Minitab software.


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Nimonic/ SU (263), Taguchi Technique, Orthogonal array, SN ratio, ANOVA

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  Paper Title: EVALUATING THE PRICE DYNAMICS OF CRYPTO CURRENCY USING ANN, AI AND LSTM RECURRENT NEURAL NETWORKS

  Author Name(s): T Ramyasree, M.Sevya, Ch Raju Goud, Gunna Ruchitha

  Published Paper ID: - IJCRTV020016

  Register Paper ID - 231108

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020016 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020016
Published Paper PDF: download.php?file=IJCRTV020016
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020016.pdf

  Your Paper Publication Details:

  Title: EVALUATING THE PRICE DYNAMICS OF CRYPTO CURRENCY USING ANN, AI AND LSTM RECURRENT NEURAL NETWORKS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 87-91

 Year: September 2017

 Downloads: 115

  E-ISSN Number: 2320-2882

 Abstract

Cryptocurrency is becoming more and more important in changing the financial system as a result of its rising adoption by merchants and popularity. Despite the fact that many people are investing in cryptocurrencies, it is still difficult to forecast their dynamical characteristics, unpredictability, and predictability, which raises the risk of the investment. Understanding the factors that affect the creation of value is essential. Using cutting-edge artificial intelligence frameworks like as fully connected Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) Recurrent Neural Networks, we assess the price dynamics of Bitcoin, Ethereum, and Ripple in this study. We find that LSTM is more effective than ANN at leveraging significant information concealed in historical memory long-term history because it tends to depend more on short-term dynamics. However, given sufficient historical data, ANN can attain comparable precision as LSTM. This study gives a novel illustration of the predictability of the Cryptocurrency market price. However, the explanation for predictability may differ depending on the type of the machine-learning model employed.


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Cryptocurrency is becoming more and more important in changing the financial system as a result of its rising adoption by merchants and popularity. Despite the fact that many people are investing in cryptocurrencies, it is still difficult to forecast their dynamical characteristics, unpredictability, and predictability, which raises the risk of the investment. Understanding the factors that affect the creation of value is essential. Using cutting-edge artificial intelligence frameworks like as f

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  Paper Title: A CRITICAL REVIEW OF BASIC RESEARCH ON CHOSEN STOCKS FOR INVESTING IN MARKET

  Author Name(s): C.Sandeep, B.Srinvas, P.Krishna, T Sowmya

  Published Paper ID: - IJCRTV020015

  Register Paper ID - 231110

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRTV020015 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRTV020015
Published Paper PDF: download.php?file=IJCRTV020015
Published Paper PDF: http://www.ijcrt.org/papers/IJCRTV020015.pdf

  Your Paper Publication Details:

  Title: A CRITICAL REVIEW OF BASIC RESEARCH ON CHOSEN STOCKS FOR INVESTING IN MARKET

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: September 2017

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 84-86

 Year: September 2017

 Downloads: 118

  E-ISSN Number: 2320-2882

 Abstract


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intrinsic value, investment, stock exchange, rational analysis

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  Paper Title: PROBLEMS AND PROSPECTS OF SMALL- SCALE INDUSTRIES: A CASE STUDY OF BAGALKOT DISTRICT.

  Author Name(s): Kethankar Basappa R, Dr Ravi B

  Published Paper ID: - IJCRT1892501

  Register Paper ID - 188557

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT1892501 and DOI :

  Author Country : Indian Author, 577004, India , dcm layout davanagere, India , | Research Area: Commerce

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT1892501
Published Paper PDF: download.php?file=IJCRT1892501
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT1892501.pdf

  Your Paper Publication Details:

  Title: PROBLEMS AND PROSPECTS OF SMALL- SCALE INDUSTRIES: A CASE STUDY OF BAGALKOT DISTRICT.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 5  | Issue: 3  | Year: July 2017

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

 Subject Area: Commerce

 Author type: Indian Author

 Pubished in Volume: 5

 Issue: 3

 Pages: 55-71

 Year: July 2017

 Downloads: 1684

  E-ISSN Number: 2320-2882

 Abstract


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SSI, Economic development, Industries, Technology, Industrialization, Productivity, employment.

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