Sunil Kaushik | UPES Dehradun , INIDA (original) (raw)

Sunil Kaushik

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Papers by Sunil Kaushik

Research paper thumbnail of A Blockchain-Based Expectation Solution for the Internet of Bogus Media

Intelligent Data Communication Technologies and Internet of Things

Research paper thumbnail of Enhancing Accuracy of Industrial IIDS using Robust Machine Learning Techniques

Research paper thumbnail of Predicting Annual Rainfall for the Indian State of Punjab Using Machine Learning Techniques

2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2020

Excess and deficit of rain has always been a concern for an agricultural state like Punjab. Measu... more Excess and deficit of rain has always been a concern for an agricultural state like Punjab. Measure to save crop can be taken if the rainfall values are predicted in advance. The current study attempts to solve rainfall prediction problem using machine learning techniques. Current study evaluates 3 machine learning algorithms – KNN, ELM and SVM applied on the rainfall data and other parameters – humidity, wind speed, max temperature and min temperature for the data from 1973 to 2019. These algorithms were compared on the universal performance parameters – MAE, RMSE, SD, PP and time to predict. We found out that SVM predicts the values nearest to the observed values in the trainer data set and test dataset. The SVM predicted values were not only close to predicted values but also had the least RMSE, MAE and ET. SVM predicted the results with 95% and 92% accuracy for trainer data set and test data set. SVM could have shown better results if number of data points had been more.

Research paper thumbnail of Securing ERP Cyber Systems by Preventing Holistic Industrial Intrusion

Security Incidents & Response Against Cyber Attacks

Research paper thumbnail of Effectiveness of GenNext framework on critical parameters of ERP implementation: a statistical comparison of traditional methodology and Gennext framework

International Journal of Advanced Computer Research

©2017 ACCENTS 2.1Values of GenNext framework GenNext Framework is created on the basis of the fol... more ©2017 ACCENTS 2.1Values of GenNext framework GenNext Framework is created on the basis of the following: P1-Continously improve and optimize the flow and value of the system. P2-Manage change and respond to pulls. P3-Relationship by co-development and delivery of working software. P4-Product success after functional success. P5-Trustworthy empowered and self managing team. 2.2Principles of GenNext framework GN-1: Customer Satisfaction GN-2: Accept changing requirements from users and provide them the option to change requirement even late in the cycle.

Research paper thumbnail of Applicability and issues in traditional model of ERP implementations: an industry perspective

International Journal of Advanced Computer Research, 2017

Research paper thumbnail of A Novel Framework for Requirement Prioritization for ERP Implementation

Indian Journal of Science and Technology, 2017

Objectives: This paper presents a framework or approach for prioritizing the requirements for an ... more Objectives: This paper presents a framework or approach for prioritizing the requirements for an ERP Implementation. Method: Proposed a novel framework or algorithm which calculates and ranks for the requirements based on priority rules such as ROI, available alternatives. Findings: The algorithm considers requirements as inputs and outputs the priority of processes in ERP Implementation. Improvement: The work can be extended to find the new variables and coefficient of performance or inclusion of constraints and paired requirements.

Research paper thumbnail of Scrutinizing Lean Thinking and Agile Methodologies from Practitioner’s Point of View

Indian Journal of Science and Technology, 2016

Research paper thumbnail of Need for blending Agile Methodologies and Lean thinking for ERP implementation: An industry point of view

2015 1st International Conference on Next Generation Computing Technologies (NGCT), 2015

ERP Implementations are known for high failure rates. The reasons cited are schedule or effort sl... more ERP Implementations are known for high failure rates. The reasons cited are schedule or effort slippage and high defect density. Lean and Agile frameworks have been, historically, found to solve similar issues in manufacturing or IT industry. This study finds out the need of framework hybrid of Lean and Agile Methodologies.

Research paper thumbnail of GenNext: Framework for Optimizing ERP Implementations

Indian Journal of Science and Technology

Research paper thumbnail of A Blockchain-Based Expectation Solution for the Internet of Bogus Media

Intelligent Data Communication Technologies and Internet of Things

Research paper thumbnail of Enhancing Accuracy of Industrial IIDS using Robust Machine Learning Techniques

Research paper thumbnail of Predicting Annual Rainfall for the Indian State of Punjab Using Machine Learning Techniques

2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2020

Excess and deficit of rain has always been a concern for an agricultural state like Punjab. Measu... more Excess and deficit of rain has always been a concern for an agricultural state like Punjab. Measure to save crop can be taken if the rainfall values are predicted in advance. The current study attempts to solve rainfall prediction problem using machine learning techniques. Current study evaluates 3 machine learning algorithms – KNN, ELM and SVM applied on the rainfall data and other parameters – humidity, wind speed, max temperature and min temperature for the data from 1973 to 2019. These algorithms were compared on the universal performance parameters – MAE, RMSE, SD, PP and time to predict. We found out that SVM predicts the values nearest to the observed values in the trainer data set and test dataset. The SVM predicted values were not only close to predicted values but also had the least RMSE, MAE and ET. SVM predicted the results with 95% and 92% accuracy for trainer data set and test data set. SVM could have shown better results if number of data points had been more.

Research paper thumbnail of Securing ERP Cyber Systems by Preventing Holistic Industrial Intrusion

Security Incidents & Response Against Cyber Attacks

Research paper thumbnail of Effectiveness of GenNext framework on critical parameters of ERP implementation: a statistical comparison of traditional methodology and Gennext framework

International Journal of Advanced Computer Research

©2017 ACCENTS 2.1Values of GenNext framework GenNext Framework is created on the basis of the fol... more ©2017 ACCENTS 2.1Values of GenNext framework GenNext Framework is created on the basis of the following: P1-Continously improve and optimize the flow and value of the system. P2-Manage change and respond to pulls. P3-Relationship by co-development and delivery of working software. P4-Product success after functional success. P5-Trustworthy empowered and self managing team. 2.2Principles of GenNext framework GN-1: Customer Satisfaction GN-2: Accept changing requirements from users and provide them the option to change requirement even late in the cycle.

Research paper thumbnail of Applicability and issues in traditional model of ERP implementations: an industry perspective

International Journal of Advanced Computer Research, 2017

Research paper thumbnail of A Novel Framework for Requirement Prioritization for ERP Implementation

Indian Journal of Science and Technology, 2017

Objectives: This paper presents a framework or approach for prioritizing the requirements for an ... more Objectives: This paper presents a framework or approach for prioritizing the requirements for an ERP Implementation. Method: Proposed a novel framework or algorithm which calculates and ranks for the requirements based on priority rules such as ROI, available alternatives. Findings: The algorithm considers requirements as inputs and outputs the priority of processes in ERP Implementation. Improvement: The work can be extended to find the new variables and coefficient of performance or inclusion of constraints and paired requirements.

Research paper thumbnail of Scrutinizing Lean Thinking and Agile Methodologies from Practitioner’s Point of View

Indian Journal of Science and Technology, 2016

Research paper thumbnail of Need for blending Agile Methodologies and Lean thinking for ERP implementation: An industry point of view

2015 1st International Conference on Next Generation Computing Technologies (NGCT), 2015

ERP Implementations are known for high failure rates. The reasons cited are schedule or effort sl... more ERP Implementations are known for high failure rates. The reasons cited are schedule or effort slippage and high defect density. Lean and Agile frameworks have been, historically, found to solve similar issues in manufacturing or IT industry. This study finds out the need of framework hybrid of Lean and Agile Methodologies.

Research paper thumbnail of GenNext: Framework for Optimizing ERP Implementations

Indian Journal of Science and Technology

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