Institute of Management, Nirma University - Logo

Publications

LabMIMO: An Open-source Virtual Laboratory for Process Control

Journal

Journal NameJournal of Engineering Education Transformations

Title of PaperLabMIMO: An Open-source Virtual Laboratory for Process Control

PublisherJEET

Volume Number36

Page Number104-110

Published YearJuly 2022

ISSN/ISBN No2349-2473

Indexed INScopus

Abstract

The “LabMIMO” is an open-source, interactive, and user-friendly virtual learning workbench. This workbench is designed for nonlinear process control edification. This virtual laboratory offers the platform to comprehend and validate the essentials of a control system for the nonlinear coupled MIMO process.

Comparative studies of control performance for a nonlinear coupled quadruple conical tank system

Conference

Title of PaperComparative studies of control performance for a nonlinear coupled quadruple conical tank system

Proceeding Name2019 Sixth Indian Control Conference (ICC)

Publisher978-1-7281-3859-6/19/$31.00 ©2019 IEEE

Author NameAlpesh Patel, Jignesh Patel, Bhavik Patel

Organization2019 Sixth Indian Control Conference (ICC), IIT Hyderabad, India

Year , VenueDecember 2019 , IIT Hyderabad, India

Page Number314-319

ISSN/ISBN No978-1-7281-3859-6/19/$31.00 ©2019

Indexed INScopus

Real time implementation of MPC in bottle washer machine for small scale beverage industry

Conference

Title of PaperReal time implementation of MPC in bottle washer machine for small scale beverage industry

Proceeding Name2017 6th International Conference on Computer Applications in Electrical Engineering - Recent Advances, CERA 2017 2018-January

Author NameGajjar Ankur, Patel Alpesh, Singh Ravi

OrganizationCERA

Page Number509-514

Published YearJanuary 2018

ISSN/ISBN No8343382

Indexed INScopus

Parametric analysis of Quadruple conical tank system

Conference

Title of PaperParametric analysis of Quadruple conical tank system

Proceeding NameNirma University International Conference on Engineering (NUiCONE)

PublisherIEEE

Author Name Alpesh Patel

OrganizationNirma University

Year , VenueNovember 2017 , Ahmedabad

Indexed INScopus

Abstract

Modified Quadruple conical tank system is benchmark a laboratory setup for testing of various linear and nonlinear control algorithms for the multivariable control system. This novel arrangement of quadruple conical tank system provides multiple process configuration for multivariable input-output. This paper presents the hardware structure of quadruple conical tank, computer interfacing using LabVIEW software, mathematical modelling of system and dynamic behaviour study. Additionally, paper explores the open loop response based parametric analysis for different input and output configurations with various operating points of quadruple conical tank system using linearized model obtained from LabVIEW. Through comparative studies of open loop response in simulation environment and real-time hardware system, the effect of interaction, coupling, time variations and change in dynamic behavior of QCTS confirmed

Industrial Internet of Thing Based Smart Process Control Laboratory: A Case Study on Level Control System

Book Chapter

Book NameInternational Conference on Information and Communication Technology for Intelligent Systems

PublisherSpinger

Author Name Patel, A., Singh, R., Patel, J., Kapadia, H. Patel, A., Singh, R., Patel, J., Kapadia, H.

Page Number190-198

Chapter TitleIndustrial Internet of Thing Based Smart Process Control Laboratory: A Case Study on Level Control System

Published YearAugust 2017

ISSN/ISBN No978-3-319-63644-3

Indexed INScopus, Others

Driver development of mitsubishi FX-plc for LabVIEW

Conference

Title of PaperDriver development of mitsubishi FX-plc for LabVIEW

Proceeding NameProceedings of the International Conference on Inventive Systems and Control

PublisherIEEE

Author NameRohit Singh, Alpesh Patel , Nihal Daladi

Organization ICISC 2017

Year , VenueJanuary 2017 , Coimbatore, India

ISSN/ISBN No978-1-5090-4715-4

Indexed INScopus

SBHS: Some control investigations

Conference

Title of PaperSBHS: Some control investigations

Proceeding Name 2015 5th Nirma University International Conference on Engineering (NUiCONE)

PublisherIEEE

Author Name Priyabrata Majhi, Harsh K Kapadia , Alpesh I Patel, Jayesh J Barve, Divyesh R Raninga

OrganizationNirma University

Year , VenueNovember 2015 , Ahmedabad, India

ISSN/ISBN No978-1-4799-9991-0

Indexed INScopus

PI control of level control system using PLC and LabVIEW based SCADA

Conference

Title of PaperPI control of level control system using PLC and LabVIEW based SCADA

Proceeding Name 2015 International Conference on Industrial Instrumentation and Control (ICIC)

PublisherIEEE

Author NamePanchal Pooja, Alpesh Patel, Jayesh Barve

Year , VenueJuly 2015 , Pune, India

ISSN/ISBN No978-1-4799-7165-7

Indexed INScopus

Modelling and simulation of dryer system

Conference

Title of PaperModelling and simulation of dryer system

Proceeding Name2015 International Conference on Industrial Instrumentation and Control (ICIC)

PublisherIEEE

Author NameHarsh Baxi, Alpesh Patel, Jayesh Barve

OrganizationICIC 2015

Published YearJuly 2015

ISSN/ISBN No 978-1-4799-7165-7

Indexed INScopus

Design and development of bottle washer machine for small scale beverage industry

Conference

Title of PaperDesign and development of bottle washer machine for small scale beverage industry

Proceeding Name2015 International Conference on Advances in Computer Engineering and Applications

PublisherIEEE

Author NameGajjar Ankur, Patel Alpesh, Singh Ravi

Year , VenueMarch 2015 , Ghaziabad, India

ISSN/ISBN No978-1-4673-6911-4

Indexed INScopus

Performance optimization for handwritten Gujarati alphanumeric script identification

Journal

Journal NameSādhanā

Title of PaperPerformance optimization for handwritten Gujarati alphanumeric script identification

PublisherSpringer

Volume Number48

Page Number1-7

Published YearNovember 2023

ISSN/ISBN No0973-7677

Indexed INScopus, Web of Science

Traffic sign recognition using deep learning

Journal

Journal NameInternational Journal of Vehicle Autonomous Systems

Title of PaperTraffic sign recognition using deep learning

PublisherInderscience Publishers Ltd.

Volume Number16

Page Number97-107

Published YearAugust 2023

ISSN/ISBN No1741-5306

Indexed INScopus

A Comparative Analysis of Machine Learning Algorithms for Classification Purpose

Conference

Title of PaperA Comparative Analysis of Machine Learning Algorithms for Classification Purpose

Proceeding NameInternational Conference on Innovative Data Communication Technologies and Application

PublisherProcedia Computer Science

Author NameVraj Sheth, Urvashi Tripathi, and Ankit Sharma

Published YearDecember 2022

Indexed INScopus

Handwritten Gujarati Numeral Recognition using Deep Learning

Conference

Title of PaperHandwritten Gujarati Numeral Recognition using Deep Learning

Proceeding NameInternational Conference on Innovative Sustainable Computational Technologies

PublisherIEEE

Author NameAbhishek Vanani, Vraj Patel, Krishn Limbachiya, Ankit Sharma

Published YearDecember 2022

Indexed INScopus

Copy Move Forgery Detection: The Current Implications and Contemporary Practices

Conference

Title of PaperCopy Move Forgery Detection: The Current Implications and Contemporary Practices

Proceeding NameInternational Conference on Electronic Circuits and Signalling Technologies

PublisherIOPscience

Author NamePranshav Gajjar, Aayush Saxena, Het Shah, Nandish Kikani, Karan Lakhani, Pooja Shah, Ankit Sharma, Krishn Limbachiya

Published YearJune 2022

Indexed INScopus

Identification of handwritten Gujarati alphanumeric script by integrating transfer learning and convolutional neural networks

Journal

Journal NameSādhanā

Title of PaperIdentification of handwritten Gujarati alphanumeric script by integrating transfer learning and convolutional neural networks

PublisherSpringer

Volume Number47

Page Number1-7

Published YearMay 2022

ISSN/ISBN No02562499

Indexed INScopus, Web of Science

DETECTION OF COVID-19 VIRUS USING DEEP LEARNING

Journal

Journal NameINTERNATIONAL JOURNAL OF COMPUTATIONAL BIOLOGY AND DRUG DESIGN

Title of PaperDETECTION OF COVID-19 VIRUS USING DEEP LEARNING

PublisherInderscience

Volume Number14

Page Number429-446

Published YearMarch 2022

ISSN/ISBN No1756-0764

Indexed INScopus, Web of Science

Abstract

Corona Virus Disease of 2019 (COVID-19) is currently the most threatening and major medical challenge in the world. COVID-19 can be detected using X-ray and CT-scan images of the patient's lungs. With the use of deep learning and neural networks, the process of classifying the patient's CT-scan and X-ray images can be expedited. In this paper, we implemented convolutional neural networks (CNN) for detection of COVID-19 in X-ray and CT-scan images of lungs. Several CNN architectures like VGG16, ResNet-50, Inception-v3, DenseNet 201, Xception, and InceptionResnet-v2 have been implemented and comparative analysis is presented. DenseNet 201 CNN architecture is found to be most accurate in detecting COVID-19 for both X-ray and CT-scan images. The quantitative results suggest promising results for the COVID-19 detection task.

Character segmentation from offline handwritten Gujarati script documents

Book Chapter

Book NameInternational conference on information and communication technology for competitive strategies

PublisherSpringer

Author NameMit Savani, Dhrumil Vadera, Krishn Limbachiya, Sharma Ankit

Chapter TitleCharacter segmentation from offline handwritten Gujarati script documents

Published YearDecember 2021

Indexed INScopus

Cryptocurrency price prediction using machine learning

Book Chapter

Book NameInternational conference on advanced computing and intelligent engineering

PublisherSpringer

Author NameHarsh T. Parikh, Nisarg Panchal, Sharma Ankit

Chapter TitleCryptocurrency price prediction using machine learning

Published YearDecember 2021

Indexed INScopus

An overview of applications of machine learning during covid 19

Book Chapter

Book NameInternational conference on advanced computing and intelligent engineering

PublisherSpringer

Author NameHarsh Panchal, Sharma Ankit

Chapter TitleAn overview of applications of machine learning during covid 19

Published YearDecember 2021

Indexed INScopus

Autonomous mobile robot for inventory management in retail industry

Book Chapter

Book NameInternational conference on futuristic trends in networks and computing technologies

PublisherSpringer

Author NameHarsh Parikh, Ishika Saijwal, Nisarg Panchal, Sharma Ankit

Chapter TitleAutonomous mobile robot for inventory management in retail industry

Published YearDecember 2021

Indexed INScopus

A Survey on Devanagari Character Recognition

Book Chapter

Book NameSmart Systems and IoT: Innovations in Computing

PublisherSpringer

Author NameAnkit K. Sharma, Dipak M. Adhyaru, Tanish H. Zaveri

Page Number429-437

Chapter TitleA Survey on Devanagari Character Recognition

Published YearJanuary 2020

ISSN/ISBN No978-981138405-9

Indexed INScopus

Abstract

Development of optical character recognition (OCR) algorithm for printed and handwritten characters is a challenging area for research. Plentiful research on OCR techniques for scripts such as Roman, Japanese, Korean, and Chinese has already been carried out. OCR research activities related to Indian script is limited. Devanagari script is used by about 500 million people in India. Remarkable research has been done in the last few years for Devanagari script. In this paper, a survey of the various research efforts done by various groups of researchers for the development of printed as well as handwritten Devanagari character recognition system is presented. Comparison of various methods in terms of feature extraction techniques, classifiers, datasets, and accuracy values is also described.

Handwritten Gujarati Character Recognition Using Structural Decomposition Technique

Journal

Journal NamePattern Recognition and Image Analysis

Title of PaperHandwritten Gujarati Character Recognition Using Structural Decomposition Technique

PublisherSpringer

Volume Number29

Page Number325–338

Published YearJune 2019

ISSN/ISBN No1054-6618

Indexed INScopus, Web of Science

A Novel Cross Correlation-Based Approach for Handwritten Gujarati Character Recognition

Book Chapter

Book Name Smart System, Innovations and Computing

PublisherSpringer

Chapter TitleA Novel Cross Correlation-Based Approach for Handwritten Gujarati Character Recognition

Published YearJanuary 2018

Data acquisition in wind power plant using SCADA

Conference

Title of PaperData acquisition in wind power plant using SCADA

Proceeding NameIntelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017

Year , VenueJune 2017 , Jyothi Engineering College, Cheruthuruthy, Thrissur, Kerala, India

Chain code feature based recognition of handwritten Gujarati numerals

Journal

Journal NameInternational Journal of Advanced Research in Computer Science

Title of PaperChain code feature based recognition of handwritten Gujarati numerals

PublisherInternational Journal of Advanced Research in Computer Science

Volume Number8

Page Number74-77

Published YearMarch 2017

ISSN/ISBN No0976-5697

Indexed INUGC List

Gujarati handwritten numeral recognition through fusion of features and machine learning techniques

Journal

Journal NameInternational Journal of Computational Systems Engineering

Title of PaperGujarati handwritten numeral recognition through fusion of features and machine learning techniques

PublisherInderscience

Volume Number3

Page Number35-47

Published YearMarch 2017

ISSN/ISBN No2046-3405

Indexed INUGC List

Features Fusion based Approach for Handwritten Gujarati Character Recognition

Journal

Journal NameNirma University Journal of Engineering and Technology

Title of PaperFeatures Fusion based Approach for Handwritten Gujarati Character Recognition

PublisherNirma University Journal of Engineering and Technology

Volume Number5

Page Number13-19

Published YearFebruary 2017

ISSN/ISBN No2231-2870

Indexed INUGC List

Handwritten Gujarati character recognition based on discrete cosine transform

Conference

Title of PaperHandwritten Gujarati character recognition based on discrete cosine transform

Proceeding NameIRF-IEEE forum international conference

Year , VenueApril 2016 , Pune, India

Comparative analysis of zoning based methods for Gujarati handwritten numeral recognition

Conference

Title of PaperComparative analysis of zoning based methods for Gujarati handwritten numeral recognition

Proceeding NameNirma University International Conference

PublisherIEEE

Year , VenueNovember 2015 , Nirma University, Ahmedabad

Gujarati Printed Characters Recognition Using Bayes Classifier

Conference

Title of PaperGujarati Printed Characters Recognition Using Bayes Classifier

Proceeding NameProceedings of 30th IRF International Conference

Year , VenueJune 2015 , Pune, India

A Survey of Automated Biometric Authentication Techniques

Conference

Title of PaperA Survey of Automated Biometric Authentication Techniques

Proceeding NameNirma University International Conference

PublisherIEEE

Year , VenueDecember 2013 , Nirma University, Ahmedabad

Character Recognition Using Neural Network

Journal

Journal NameInternational Journal of Engineering Trends and Technology

Title of PaperCharacter Recognition Using Neural Network

PublisherInternational Journal of Engineering Trends and Technology

Volume Number4

Page Number662-667

Published YearApril 2013

ISSN/ISBN No2231-5381

GSM Base Interface With Industrial Product Using Android Platform

Journal

Journal NameInternational Journal of Engineering Trends and Technology

Title of PaperGSM Base Interface With Industrial Product Using Android Platform

PublisherInternational Journal of Engineering Trends and Technology

Volume Number4

Page Number840-842

Published YearApril 2013

ISSN/ISBN No2231-5381

Hand Geometry Based Recognition System

Conference

Title of PaperHand Geometry Based Recognition System

Proceeding NameNirma University International Conference

Year , VenueDecember 2012 , Nirma University, Ahmedabad

Object Detection in Image Using Particle Swarm Optimization

Book

PublisherLambert Academic Publishing

Published YearFebruary 2012

Object Detection in Image Using Predator Prey Optimization

Journal

Journal NameSignal & Image Processing : An International Journal

Title of PaperObject Detection in Image Using Predator Prey Optimization

PublisherAIRCC

Volume Number2

Page Number205-221

Published YearMarch 2011

ISSN/ISBN No2011-2115

Object Detection in Image Using Particle Swarm Optimization

Journal

Journal NameInternational Journal of Engineering & Technology

Title of PaperObject Detection in Image Using Particle Swarm Optimization

Volume Number2

Page Number419-426

Published YearDecember 2010

ISSN/ISBN No0975-4024

Indexed INScopus

Design and Development of a Low-Cost Vision-Based 6 DoF Assistive Feeding Robot for the Aged and Specially-Abled People

Journal

Journal NameIETE Journal of Research

Title of PaperDesign and Development of a Low-Cost Vision-Based 6 DoF Assistive Feeding Robot for the Aged and Specially-Abled People

PublisherTaylor & Francis

Page Number1-29

Published YearFebruary 2023

ISSN/ISBN No0377-2063

Indexed INScopus, Web of Science

Robust control design for rotary inverted pendulum with unmatched uncertainty

Journal

Journal NameInternational Journal of Dynamics and Control

Title of PaperRobust control design for rotary inverted pendulum with unmatched uncertainty

PublisherSpringer

Page Number1-11

Published YearSeptember 2022

ISSN/ISBN No2195-2698

Indexed INScopus

Control techniques for electromagnetic levitation system: a literature review

Journal

Journal NameInternational Journal of Dynamics and Control

Title of PaperControl techniques for electromagnetic levitation system: a literature review

PublisherSpringer

Volume Number11

Page Number441-451

Published YearJune 2022

ISSN/ISBN No2195-2698

Indexed INScopus

Identification of handwritten Gujarati alphanumeric script by integrating transfer learning and convolutional neural networks

Journal

Journal NameSadhana

Title of PaperIdentification of handwritten Gujarati alphanumeric script by integrating transfer learning and convolutional neural networks

PublisherSpringer

Volume Number47

Page Number1-7

Published YearMay 2022

ISSN/ISBN No02562499

Indexed INScopus, Web of Science

Stability Analysis of Electromagnetic Levitation System Using Lyapunov-Krasovskii's Method

Conference

Title of PaperStability Analysis of Electromagnetic Levitation System Using Lyapunov-Krasovskii's Method

Proceeding NameICONAT 2022, IEEE conference proceedings

PublisherIEEE

Author NameAmit Pandey, Dipak Adhyaru

Year , VenueJanuary 2022 , Goa, India

Page Number1-6

ISSN/ISBN No978-1-6654-2577-3

Indexed INScopus

Design bounded robust controller using HJB solution for the nonlinear hybrid dynamical systems

Journal

Journal NameEuropean Journal of Control

Title of PaperDesign bounded robust controller using HJB solution for the nonlinear hybrid dynamical systems

PublisherElsevier

Volume Number60(7)

Page Number65-77

Published YearJuly 2021

Indexed INScopus

Hybrid Extended State Observer Based Control for Systems with Matched and Mismatched Disturbances

Journal

Journal NameISA Transactions

Title of PaperHybrid Extended State Observer Based Control for Systems with Matched and Mismatched Disturbances

PublisherElsevier

Volume Number106(11)

Page Number61-73

Published YearNovember 2020

Indexed INScopus

Hybrid intelligent controller design for an unstable electromagnetic levitation system: a fuzzy interpolative controller approach

Journal

Journal NameInternational Journal of Automation and Control

Title of PaperHybrid intelligent controller design for an unstable electromagnetic levitation system: a fuzzy interpolative controller approach

PublisherInderscience

Volume Number13(6)

Published YearJune 2019

Indexed INScopus

Handwritten Gujarati Character Recognition Using Structural Decomposition Technique

Journal

Journal NamePattern Recognition and Image Analysis

Title of PaperHandwritten Gujarati Character Recognition Using Structural Decomposition Technique

Volume Number19(4)

Page Number325-338

Published YearApril 2019

Indexed INScopus

Design of Takagi-Sugeno Fuzzy Regulator for Nonlinear and Unstable Systems using Negative Absolute Eigenvalue Approach

Journal

Journal NameIEEE Journal of Automatica Sinica

Title of PaperDesign of Takagi-Sugeno Fuzzy Regulator for Nonlinear and Unstable Systems using Negative Absolute Eigenvalue Approach

PublisherIEEE

Volume Number19(3)

Page Number482-493

Published YearMarch 2019

Indexed INScopus

Simplified Takagi-Sugeno fuzzy regulator design for stabilizing control of electromagnetic levitation system

Journal

Journal NameAdvances in Intelligent Systems and Computing

Title of PaperSimplified Takagi-Sugeno fuzzy regulator design for stabilizing control of electromagnetic levitation system

PublisherSpringer

Volume Number757

Page Number93-103

Published YearJanuary 2019

Indexed INScopus, UGC List

HJB solution-based optimal control of hybrid dynamical systems using multiple linearized model

Journal

Journal NameControl and Intelligent Systems

Title of PaperHJB solution-based optimal control of hybrid dynamical systems using multiple linearized model

PublisherTaylor and Francis

Volume Number44(2)

Page Number52-58

Published YearJanuary 2016

Indexed INScopus, UGC List

Discrete event estimation of nonlinear hybrid dynamical systems using fuzzy clustering

Journal

Journal NameInternational Journal of Modelling and Simulation

Title of PaperDiscrete event estimation of nonlinear hybrid dynamical systems using fuzzy clustering

Volume Number35(3)

Page Number137-142

Published YearMarch 2015

Indexed INScopus, UGC List

Clustering based multiple model control of hybrid dynamical systems using HJB solution

Journal

Journal NameApplied Soft Computing Journal

Title of PaperClustering based multiple model control of hybrid dynamical systems using HJB solution

PublisherScience Direct

Volume Number31

Page Number103-117

Published YearJanuary 2015

Indexed INScopus, UGC List

Parameter identification of PWARX models using fuzzy distance weighted least squares method

Journal

Journal NameApplied Soft Computing Journal

Title of PaperParameter identification of PWARX models using fuzzy distance weighted least squares method

PublisherScience Direct

Volume Number25

Page Number174-183

Published YearJanuary 2014

Indexed INScopus, UGC List

State observer design for nonlinear systems using neural network

Journal

Journal NameApplied Soft Computing Journal

Title of PaperState observer design for nonlinear systems using neural network

PublisherScience Direct

Volume Number12(8)

Page Number2530-2537

Published YearAugust 2012

Indexed INScopus, UGC List

Bounded robust control of nonlinear systems using neural network–based HJB solution

Journal

Journal NameNeural Computing and Applications

Title of PaperBounded robust control of nonlinear systems using neural network–based HJB solution

PublisherSpringer

Volume Number20(1)

Page Number91-103

Published YearFebruary 2011

Indexed INScopus, UGC List

Robust control of nonlinear systems using neural network based HJB solution

Journal

Journal NameInternational Journal of Automation and Control

Title of PaperRobust control of nonlinear systems using neural network based HJB solution

PublisherInderscience

Volume Number3(2)

Page Number135-153

Published YearMarch 2009

Indexed INScopus

Fixed final time optimal control approach for bounded robust controller design using Hamilton-Jacobi-Bellman solution

Journal

Journal NameIET Control Theory and Applications

Title of PaperFixed final time optimal control approach for bounded robust controller design using Hamilton-Jacobi-Bellman solution

PublisherIET

Volume Number3(9)

Page Number1183-1195

Published YearJanuary 2009

Indexed INScopus, UGC List

Implementation of Master-Slave Communication Using MQTT Protocol

Book Chapter

Book NameNext Generation Systems and Networks. BITS-EEE-CON 2022. Lecture Notes in Networks and Systems

PublisherSpringer, Singapore.

Author NameDarsh Patel, Hitika Dalwadi, Hetvi Patel, Prasham Soni, Yash Battul & Harsh Kapadia

Page Number11-23

Chapter TitleImplementation of Master-Slave Communication Using MQTT Protocol

Published YearJuly 2023

ISSN/ISBN No978-981-99-0482-2

Indexed INScopus

Abstract

With the revolution in industry 4.0, the applications of the Internet of Things (IoT) have wide innovation in the commercial and industrial domains. The significant applications of IoT are deployed in sectors such as embedded systems, sensing technologies, and computer vision. Some of the many aspects to consider while implementing IoT include hardware, connectivity, protocol, server availability, hardware sensors, decision, and analysis. The research paper aims to present and implement the work of master-slave communication using the Message Query Telemetry Transfer (MQTT) protocol, deployed using Node-MCU and Python. The work in discussion focuses on Master-Slave communication between multiple mobile robots and a central system. The application of this project can be branched to domains like defense, household, e-commerce, etc. A local server setup using a router works as a Wi-Fi network or a master control unit. The real-time navigation, monitoring, and control are done with the help of central image processing (master module) which sends and receives data to robots (slave module) using the MQTT protocol. The results show that MQTT is an efficient communication protocol that can be used for master-slave communication because it has efficient synchronization, data loss is minimum, and is error-free.

Convolutional neural network based improved crack detection in concrete cubes”

Journal

Journal NameInternational Journal of Computing and Digital Systems

Title of PaperConvolutional neural network based improved crack detection in concrete cubes”

PublisherUniversity of Bahrain

Volume Number13

Page Number342-352

Published YearJanuary 2023

ISSN/ISBN No2210-142X

Indexed INScopus

Abstract

Advancement of imaging technology and computing resources make crack detection in concrete automated using a vision-based approach. The present work focuses on crack detection in laboratory-scale concrete cubes used for the characterization of concrete using the convolutional neural network. The major challenge in the said application is to remove inherent noise and dents from the uneven surface of the test cube. A laboratory-scale image acquisition setup was developed to acquire consistent images of concrete cubes. Inceptionv3 architecture was trained to detect the cracks in concrete cube surface images in the most accurate manner. The Inceptionv3 model was trained and validated using more than 80,000 crack and 80,000 non-crack images dataset prepared manually using the concrete cube surface images. Popular data augmentation techniques were used to generate the training dataset. An average of 97.49% accuracy and 7.38% cross-entropy are achieved in the training whereas 97.67% accuracy and 7.69% cross-entropy are achieved in the model validation. The training was carried out with a batch size of 100 and 5,000 epochs. An average accuracy of 99% has been achieved during the performance evaluation of crack detection on concrete cubes as presented in the results. The average values of precision, recall and F – score are obtained as 0.88, 0.98 and 0.93 respectively.

Implementation of Computer Vision Technique for Crack Monitoring in Concrete Structure

Journal

Journal NameJournal of The Institution of Engineers (India): Series A

Title of PaperImplementation of Computer Vision Technique for Crack Monitoring in Concrete Structure

PublisherSpringer Nature

Volume Number104

Page Number111-123

Published YearDecember 2022

ISSN/ISBN No22502149

Indexed INScopus

Abstract

Assessment of structural health is essential for safe and efficient functioning of built environment. Physical inspection of structures for its health monitoring is time-consuming, costly and risky. Advances in image acquisition, processing techniques, and computational resources have made computer vision a cost effective and an accurate technique for structural health assessment. Recent evolution of Convolutional Neural Network has reduced human effort and made it easy to develop algorithms for identification of structural defects. One of the primary defects in concrete is crack. Concrete cracking occurs due to many reasons like shrinkage, heaving, premature drying, excessive loading etc. and it leads to reduction in strength of structures. This paper presents a computer vision system developed for crack monitoring of concrete cubes subjected to compressive loading. Camera is used to capture real-time images when concrete cubes are subjected to loading. Images are processed using the convolutional neural network to identify crack and subsequently features of cracks like number, location, length, and area are extracted. The outcome of present system demonstrated better and accurate real-time monitoring of cracking when concrete is subjected to loading. The proposed computer vision-based approach is a step forward in Structural Health Monitoring of real-life concrete structures like buildings, bridges, and pavements.

Monitoring and analysis of crack developments in concrete using machine vision

Journal

Journal NameJournal of Structural Engineering

Title of PaperMonitoring and analysis of crack developments in concrete using machine vision

PublisherCSIR - SERC Chennai

Volume Number49

Page Number204-222

Published YearSeptember 2022

ISSN/ISBN No0970-0137

Indexed INScopus

Abstract

Periodic inspection of reinforced concrete bridges and buildings is required to assess their deterioration due to loading and environmental factors. Monitoring the condition of the existing structure helps in the assessment of its load- carrying capacity. Cracking in concrete structure is one of the critical parameters representing its structural health. Trained personnel monitor the development of cracks and their progression at the critical locations of the structures through a physical vision at regular intervals of time. With the advancement in computational techniques, machine vision is becoming a robust alternative to physical inspection of the structure and its health monitoring. The present work demonstrates the application of machine vision in concrete crack monitoring by identifying the location of the crack, the number of cracks, the length of the cracks, and the area of the cracks. A novel system has been developed by integrating machine vision and convolutional neural networks to gain real-time images of concrete surfaces, detect concrete cracks, and extract various parameters related to cracks, such as number, location, length, and area, in synchronization with the applied loading. The present system is implemented for real-time crack monitoring during compression testing of concrete cubes of size 150 mm × 150 mm × 150 mm of different characteristic strengths. The outcome of the machine vision system in graphical form is presented for various parameters of cracks like the number, location, length, the area concerning compressive load for concrete of different strengths. An accuracy of 98% has been achieved for crack detection on concrete cubes as presented in the results. The present machine vision system can be implemented on different concrete structures for acquiring real-time data on crack development and progression. The proposed framework will be an effective tool for engineers working in the domain of structural health monitoring of concrete structures.

Monitoring and Analysis of Surface Cracks in Concrete Using Convolutional Neural Network

Conference

Title of PaperMonitoring and Analysis of Surface Cracks in Concrete Using Convolutional Neural Network

Proceeding NameThird International Conference on Structural Engineering and Construction Management (SECON’22)

Author NameHarsh Kapadia

OrganizationDepartment of Civil Engineering, Federal Institute of Science And Technology (FISAT)®, Ernakulam, Kerala, India

Year , VenueJune 2022 , Kerala, India

Abstract

Reinforced concrete is widely used for construction of infrastructure projects like bridges, buildings, highways, dams, and power plants etc. Monitoring structural health of infrastructure projects is essential for their uninterrupted functioning. Generally physical inspections are carried out to detect defects in structures for further rectification. With recent advancements in computational algorithms, machine vision based inspection is emerging as an efficient technique for monitoring structural health of structures. Surface cracks in concrete structures are one of the important indicators of its health and enable the assessment of serviceability of the structures. The present work aims to address the issue by developing a novel system using machine vision and deep learning. A convolutional neural network-based methodology is developed to detect surface cracks in concrete cube images. The implementation of proposed methodology is demonstrated through monitoring of crack development in concrete cubes of size 150 mm × 150 mm × 150 mm with different compression strengths. The concrete cubes are subjected to compression loading in a standard compression testing machine. The analysis results in location, area, length, and number of cracks in synchronization with the applied compression load. The number of cracks, area of cracks, and length of cracks with respect to compression load are acquired using the developed system for different grades of concrete cubes. Results show that cracks detection and monitoring have been accurately performed with the developed system. The observations obtained from the crack load analysis can be very useful for improved understanding of concrete behaviour. The data acquired and observations can help professionals for improved structural health monitoring.

Accurate crack identification on the concrete structure using convolutional neural network

Conference

Title of PaperAccurate crack identification on the concrete structure using convolutional neural network

Proceeding Name3rd International Conference on New Horizons in Green Civil Engineering (NHICE-03)

OrganizationUniversity of Victoria (UVic, www.uvic.ca) and BC Housing (www.bchousing.org)

Year , VenueApril 2022 , Victoria, BC, Canada

Abstract

Owing to the globalization and urbanization, concrete structures are being developed at a rapid rate. Monitoring and assessment of new as well as old structures is essential considering the effect it imposes of human life. Vision based damage detection in different types and varieties of structures is not only a widely known problem but it is also addressed by the researched around the globe. Recent advances in imaging devices, computation resources and artificial intelligence based methodologies have enabled automatic and accurate crack detection. A convolutional neural network based approach is implemented for accurate crack identification in the paper. The approach comprises of dataset generation process, transfer learning based re-training of a pre-trained convolutional neural network model and crack identification process. Crack and non-crack contour images extracted from images of the standard concrete cubes are used for the study. Inception v3 model is retrained using the generated dataset and tested for crack identification. Results shows that the model performs exceptionally well during the real-time testing. Performance evaluation of the re-trained model shows that the crack identification on concrete structure is performed with utmost accuracy, precision and recall

Hybrid Computing System for Real-Time Implementation of a Convolutional Neural Network Application

Conference

Title of PaperHybrid Computing System for Real-Time Implementation of a Convolutional Neural Network Application

Proceeding Name2022 International Conference for Advancement in Technology (ICONAT)

PublisherIEEE

Author NamePushpit Jain; Rishi Hiran; Harsh Kapadia; Paresh Patel; Jignesh B. Patel

OrganizationIEEE Bombay section

Year , VenueJanuary 2022 , Goa India

ISSN/ISBN No978-1-6654-2577-3

Abstract

There is a drastic increase in the usage of Artificial Intelligence, Machine Learning, and Deep Learning over the past decade, and innovative applications using these technologies are being developed. The development of such applications requires a tremendous amount of data and high computational power for training and deployment. Though cloud computing is a good way for development with the increasing amount of data, cloud computing proves out to be costly and slow. Edge computing devices have become the need of the hour, which could provide high computational power locally, saving on the costs of communicating with the server and providing a faster way of processing. The issue is addressed in the presented work with the use of commercially available edge computing devices. The developed method is tested for efficiency and computation speed. For the case study, the application of concrete crack detection using a convolutional neural network is considered. Transfer learning-based approach is adopted with the use of a pre-trained inception v3 CNN model. A concrete crack dataset is prepared for training and testing the model. In order to prove the computational efficiency of edge computing, two separated models were trained ad tested. A CPU standalone model and another model compatible with CPU and edge computing device were trained and tested. The experimental results show that the CPU with edge computing device requires much less computational time as compared to the CPU standalone mode and is at least 100 times faster in computation.

Convolutional neural network based technique for accurate detection of cracks in concrete

Conference

Title of PaperConvolutional neural network based technique for accurate detection of cracks in concrete

Proceeding NameInternational conference on research and development in civil engineering

Author NameNikhil Kanani, Paresh Patel, Harsh Kapadia

OrganizationDepartment of Civil Engineering, Shri Vile Parle Kelavani Mandal's Institute of Technology, Dhule, Maharashtra

Year , VenueDecember 2021 , Department of Civil Engineering, Shri Vile Parle Kelavani Mandal's Institute of Technology, Dhule, Maharashtra (Virtual Mode)

Abstract

Cracking in concrete structures is an indication of deterioration and its early detection helps in accurate structural health monitoring. Computer vision technique based on image processing with Convolution Neural Network (CNN) improves crack detection by merging the output of different trained networks in a fusion multilayer perceptron. The most popular and common tool for information extraction from large datasets of images is Deep Learning. An important part of Deep Learning is hardware selection, as data transfer speed depends on it. To achieve faster data transfer, hardware called Edge TPU (Tensor Processing Unit) can be used. The Edge TPU provides high computational power and performance enhancement, which facilitates real-time health recognition of concrete structures. In present paper application of CNN is demonstrated through crack identification in Concrete cubes subjected to compressive loading. The images of concrete blocks are taken using an industrial- grade Basler camera. Proper illumination while capturing images, is provided by a lighting setup consisting of 2 LED panel. Improved accuracy is achieved in crack identification through a re-trained Inception v3 model, updated to Edge TPU compatible model.

Implementation of computer vision technique for crack monitoring in concrete structure

Conference

Title of PaperImplementation of computer vision technique for crack monitoring in concrete structure

Proceeding Name36th Indian Engineering Congress

Author NameNikhil Kanani, Paresh Patel, Harsh Kapadia

OrganizationThe Institution of Engineers INDIA, New Delhi

Year , VenueDecember 2021 , New Delhi

Abstract

Assessment of structural health is essential for safe and efficient functioning of built environment. Physical inspection of structures for its health monitoring is time consuming, costly and risky. Advances in image capturing and processing techniques as well as numerical simulation tools have made computer vision a cost effective and accurate alternative for structural health assessment. Evolution of convolution neural network (CNN) has reduced human effort and made it easy to develop algorithms for identification of structure defects. One of the primary defects in concrete is crack. Concrete cracking occurs due to many reasons like shrinkage, heaving, premature drying, excessive loading etc. and it leads to reduction in strength of structures. This paper presents a computer vision system developed for crack monitoring of concrete cubes subjected to compressive loading. Camera is used to capture real time images when concrete cubes are subjected to loading. Images are further processed using CNN to obtain various features of cracks like numbers, location, length, area etc. Present Computer vision system is developed using LabVIEW and implemented using tensor processing unit (TPU) for better computational efficiency. The outcome of present system demonstrated better and accurate real time monitoring of cracking when concrete is subjected to loading. Proposed computer vision system can be implemented for structural health monitors of real-life civil engineering structures like buildings and bridges.

Dry waste segregation using seamless integration of deep learning and industrial machine vision

Conference

Title of PaperDry waste segregation using seamless integration of deep learning and industrial machine vision

Proceeding Name7th IEEE International Conference on Electronics, computing and communication technologies, IEEE CONNECT 2021

PublisherIEEE IEEE Banglore

Author NameProf. Harsh Kapadia, Prof. Alpesh Patel, Dr. Jignesh Patel, Shivam Patidar, Yash Richhariya, Darpan Trivedi, Priyank Patel, Meet Mehta

OrganizationIEEE Banglore Section

Year , VenueJuly 2021 , Banglore

Indexed INScopus

Abstract

Municipal solid waste management has been one of the most critical issues of urban cities today. Increasing population, constructions, industries, etc. are the major factors creating a large amount of waste that is dumped onto the landfill sites. Various systems have been proposed and are under the utilization for the management of municipal waste which includes mechanical vibration-based size-based sorters, eddy current sensor-based sorting of metallic waste, automatic optical waste sorters, etc. This paper focuses on a novel solution for solid waste segregation using the concepts of machine vision and deep learning. The proposed concept is tested for the segregation of solid dry waste particularly plastic bottles, aluminum cans, and tetra packs. The prototype system developed for the segregations works at high speed and accuracy. The prototype system sorts 250 objects per minute with an average accuracy of 96%. The proposed novel idea be extended and implemented for other types of waste segregation and can include more categories of solid dry waste. The system provides a solution for the ever challenging municipal waste management problem.

Review of In-line Water Quality Measurement Systems

Conference

Title of PaperReview of In-line Water Quality Measurement Systems

Proceeding NameEleventh International Joint Conference on Advances in Engineering and Technology, AET 2020

Author NameHarsh Kapadia, Devansh Rana

OrganizationInstitute of Doctors Engineers and Scientists (IDES), Association of Computer Electrical Electronics and Communication (ACEECom),

Year , VenueDecember 2020 , NCR, Delhi, India

Abstract

Water is most essential in the existence of life and hence need for monitoring its purity is ever rising. With rapid urbanization, our water networks have grown steadily, which is pushing forward the need to monitor water quality from the piping network itself to ensure safety and hygiene. Systems developed for the purpose of monitoring inline water quality, check varying parameters usually with a node pipe section, having multiple sensors integrated to it. These systems are difficult to integrate into already developed piping networks and also maintenance of such systems becomes challenging which in return affects system performance over time. The purpose of this study is to have a review highlighting the advantages and limitations of existing inline monitoring systems and provide better insights to actual deployment alongside further development in the domain where existing piping infrastructure is disturbed to a minimum.

An Improved Image Pre-processing Method for Concrete Crack Detection

Book Chapter

Book NameLecture Notes in Computational Vision and Biomechanics Book Series (LNCVB, volume 30), Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB). ISMAC 2018

PublisherSpringer, Cham

Author NameDurai Pandian Xavier Fernando Zubair Baig Fuqian Shi

Page Number1611-1621

Chapter TitleAn Improved Image Pre-processing Method for Concrete Crack Detection

Published YearJanuary 2019

ISSN/ISBN No978-3-030-00664-8

Indexed INScopus

Development of Low-Cost Embedded Vision System with a Case Study on 1D Barcode Detection

Book Chapter

Book NameInformation and Communication Technology for Intelligent Systems. Smart Innovation, Systems and Technologies, vol 106.

PublisherSpringer

Author NameSatapathy S., Joshi A.

Page Number505-513

Chapter TitleDevelopment of Low-Cost Embedded Vision System with a Case Study on 1D Barcode Detection

Published YearDecember 2018

ISSN/ISBN No978-981-13-1741-5

Indexed INScopus

Industrial Internet of Thing Based Smart Process Control Laboratory: A Case Study on Level Control System

Book Chapter

Book Name Smart Innovation, Systems and Technologies book series (SIST, volume 84)

PublisherSpringer, Cham

Author Name Satapathy S., Joshi A.

Page Number190-198

Chapter TitleIndustrial Internet of Thing Based Smart Process Control Laboratory: A Case Study on Level Control System

Published YearAugust 2017

ISSN/ISBN No978-3-319-63644-3

Indexed INScopus

Development of a Non-Linear Process Control Test Bench and Empirical Investigation of Control Performance

Conference

Title of PaperDevelopment of a Non-Linear Process Control Test Bench and Empirical Investigation of Control Performance

Proceeding NameNational Conference for Process Control and Automation

OrganizationMalaviya National Institute of Technology, Jaipur

Year , VenueFebruary 2016 , Malaviya National Institute of Technology, Jaipur

Page Number9

Abstract

A conical tank shows non-linearity in its model due to its variation in area with respect to its height. As the level of fluid inside the conical tank varies, time constant and gain of the process will also vary. In this study investigations are performed to check the control performance of the non-linear process at different operating points.

SBHS: Some Control Investigations

Conference

Title of PaperSBHS: Some Control Investigations

Proceeding Name 2015 5th Nirma University International Conference on Engineering (NUiCONE)

PublisherIEEE

OrganizationInstitute of Technology, Nirma University

Year , VenueNovember 2015 , Institute of Technology, Nirma University

Page Number1-6

ISSN/ISBN No978-1-4799-9991-0

Indexed INScopus

Image Processing on Embedded Platform Android

Conference

Title of PaperImage Processing on Embedded Platform Android

Proceeding Name2015 International Conference on Computer, Communication and Control (IC4)

PublisherIEEE

OrganizationMGI Institutes, Indore India

Year , VenueSeptember 2015 , MGI Institutes, Indore India

Page Number1-6

ISSN/ISBN No978-1-4799-8164-9

Indexed INScopus

Comparison of Object Detection Algorithms: SIFT, SURF, ORB

Conference

Title of PaperComparison of Object Detection Algorithms: SIFT, SURF, ORB

Proceeding Name Fifth National Conference on Emerging Vistas of Technology (NCEVT)

Year , VenueApril 2015 , Parul University, Baroda

Evaluating the Object Recognition in Real-Time rocess

Conference

Title of PaperEvaluating the Object Recognition in Real-Time rocess

Proceeding Name 2013 Nirma University International Conference on Engineering (NUiCONE)

PublisherIEEE

Year , VenueNovember 2013 , Institute of Technology, Nirma University

Page Number1-6

ISSN/ISBN No2375-1282

Indexed INScopus

Measurement of Wheel Alignment using Camera Calibration and Laser Triangulation

Conference

Title of PaperMeasurement of Wheel Alignment using Camera Calibration and Laser Triangulation

Proceeding Name 2013 Nirma University International Conference on Engineering (NUiCONE)

PublisherIEEE

Year , VenueNovember 2013 , Institute of Technology, Nirma University

Page Number1-5

ISSN/ISBN No2375-1282

Indexed INScopus

Camera Based EAN-13 Barcode Verification with Hough Transform and Sub-Pixel Edge Detection

Conference

Title of PaperCamera Based EAN-13 Barcode Verification with Hough Transform and Sub-Pixel Edge Detection

Proceeding NameFirst National Conference on Algorithms and Intelligent Systems

Author NameDr. Amol C. Adamuthe

Year , VenueFebruary 2012 , Rajarambapu Institute of Technology, Sangli, Maharashtra

Application of Mean-Shift Algorithm for License Plate Localization

Conference

Title of PaperApplication of Mean-Shift Algorithm for License Plate Localization

Proceeding Name2011 Nirma University International Conference on Engineering

PublisherIEEE

Year , VenueDecember 2011 , Institute of Technology, Nirma University, Ahmedabad

Page Number1-5

ISSN/ISBN No978-1-4577-2168-7

Indexed INScopus

Performance Comparison of Infra-Red (IR) and Radio Frequency (RF) Based Control for Robotic Car

Journal

Journal NameInternational Journal of Recent Scientific Research (IJRSR)

Title of PaperPerformance Comparison of Infra-Red (IR) and Radio Frequency (RF) Based Control for Robotic Car

Volume Number8

Page Number18915-18919

Published YearJuly 2017

ISSN/ISBN No0976-3031

Indexed INUGC List

Eccentricity Measurement System for Rotating Machines with Large Industrial Load

Journal

Journal NameInternational Journal of Innovative Research in Science and Engineering (IJIRSE)

Title of PaperEccentricity Measurement System for Rotating Machines with Large Industrial Load

Volume Number2

Page Number43-51

Published YearOctober 2016

ISSN/ISBN No2455-0663

Role of Substantial Characteristics in Electronic Nose Sensor Selection for Diverse Applications

Journal

Journal NameInternational Journal of Advanced Research in Engineering & Technology

Title of PaperRole of Substantial Characteristics in Electronic Nose Sensor Selection for Diverse Applications

Volume Number7

Page Number177-185

Published YearApril 2016

ISSN/ISBN No0976-6480

Review of Transduction Techniques for Tactile Sensors and a Comparative Analysis of Commercial Sensors

Journal

Journal NameInternational Journal of Research and Scientific Innovation (IJRSI)

Title of PaperReview of Transduction Techniques for Tactile Sensors and a Comparative Analysis of Commercial Sensors

Volume Number3

Page Number133-138

Published YearDecember 2015

ISSN/ISBN No2321-2705

Analysis of Cryogenic Cycle with Process Modeling Tool : Aspen HYSIS

Journal

Journal NameIOP Science - Journal of Instrumentation (JINST)

Title of PaperAnalysis of Cryogenic Cycle with Process Modeling Tool : Aspen HYSIS

Volume Number10

Page Number1-8

Published YearOctober 2015

ISSN/ISBN No1748-0221

Indexed INScopus, Web of Science, UGC List

Automatic PID control Loops Design for Performance Improvement of Cryogenic Turboexpande

Journal

Journal NameIOP Science - Journal of Instrumentation (JINST)

Title of PaperAutomatic PID control Loops Design for Performance Improvement of Cryogenic Turboexpande

Volume Number10

Page Number1-9

Published YearApril 2015

ISSN/ISBN No1748-0221

Indexed INScopus, Web of Science, UGC List

Detailed Analysis of Fiber Optic Networks and its Benefits in Defense Applications

Journal

Journal NameInternational Journal of Advanced Research in Engineering & Technology (IJARET)

Title of PaperDetailed Analysis of Fiber Optic Networks and its Benefits in Defense Applications

Volume Number6

Page Number1-8

Published YearFebruary 2015

ISSN/ISBN No0976-6480

Advanced Instrumentation and Automation for Filling and Packaging of Beverages

Journal

Journal NameInternational Journal of Electrical and Electronics Engineering Research (IJEEER)

Title of PaperAdvanced Instrumentation and Automation for Filling and Packaging of Beverages

Volume Number5

Page Number1-10

Published YearFebruary 2015

ISSN/ISBN No2250-155X

Indexed INUGC List

Automated Vacuum Feed-through Drive for Electric Probe in Plasma Measurement

Journal

Journal NameInternational Journal of Pure and Applied Research in Engineering and Technology (IJPRET

Title of PaperAutomated Vacuum Feed-through Drive for Electric Probe in Plasma Measurement

Volume Number2

Page Number15-24

Published YearMay 2014

ISSN/ISBN No2319-507X

Microcontroller and GSM Based Digital Prepaid Energy Meter

Journal

Journal NameInternational Journal of Electronics, Computer and Communications Technologies (IJECCT)

Title of PaperMicrocontroller and GSM Based Digital Prepaid Energy Meter

Volume Number4

Page Number32-37

Published YearOctober 2013

ISSN/ISBN No2180-3536

The Electronic Nose : Artificial Olfaction Technology

Book

PublisherSPRINGER

Published YearSeptember 2013

ISSN/ISBN No978-81-322-1547-9

Abstract

This book provides the basics of odor, odor analysis techniques, sensors used in odor analysis and overview of odor measurement techniques. For beginners as well researchers this book is a brief guide for odor measurement and analysis. The book includes a special chapter dedicated to practical implementation of e-nose sensor devices with software utility, which guides students to prepare projects

Design and Development of Rogowski Coil Sensors for Eddy Currents Measurement on Torroidal Vessel

Journal

Journal NameSPRINGER Journal for Fusion Energy

Title of PaperDesign and Development of Rogowski Coil Sensors for Eddy Currents Measurement on Torroidal Vessel

PublisherSpringer

Volume Number32

Page Number263-267

Published YearApril 2013

ISSN/ISBN No0164-0313

Indexed INScopus, UGC List

GSM Based Flexible Calling System for Coal Mining Workers

Journal

Journal NameInternational Journal of Engineering Trends & Technology (IJETT)

Title of PaperGSM Based Flexible Calling System for Coal Mining Workers

Volume Number4

Page Number758-761

Published YearApril 2013

ISSN/ISBN No2231-5381

Design and Development of a Series Switch for High Voltage in RF Heating

Journal

Journal NameSPRINGER Journal for Fusion Energy

Title of PaperDesign and Development of a Series Switch for High Voltage in RF Heating

PublisherSPRINGER

Volume Number32

Page Number128-134

Published YearFebruary 2013

ISSN/ISBN No0164-0313

Indexed INScopus, UGC List

GSM Based Emergency Calling System

Journal

Journal NameInternational Journal of Electronics and Communication Engineering & Technology (IJECET)

Title of PaperGSM Based Emergency Calling System

Volume Number4

Page Number35-42

Published YearFebruary 2013

ISSN/ISBN No0976-6464

Sensor Network Design & Temperature Measurement For Surface Analysis

Book

PublisherLap Lambert Academic Publishing

Published YearNovember 2012

ISSN/ISBN No978-3-659-26190-9

Performance Comparison of Permanent Magnet Synchronous and Induction Motor for Cooling Tower Application

Journal

Journal NameInternational Journal of Emerging Technology and Advanced Engineering

Title of PaperPerformance Comparison of Permanent Magnet Synchronous and Induction Motor for Cooling Tower Application

Volume Number2

Page Number167-171

Published YearAugust 2012

ISSN/ISBN No2250-2459

Introduction to Odour Measurement and Odour Sensors

Book

PublisherLap Lambert Academic Publishing

Published YearJuly 2012

ISSN/ISBN No978-3-659-19790-1

Electronic Nose – Introduction, Sensor and Application

Book

PublisherLap Lamert Academic Pulishing

Published YearJune 2012

ISSN/ISBN No978-3-659-15855-1

Cookbook for Multiple Output Flyback Converter using TOPswitch

Book

PublisherLap Lambert Academic Publishing

Published YearApril 2012

ISSN/ISBN No978-3-8484-4884-5

High Voltage Series Switch and Crowbar Protection in RF Heating

Journal

Journal NameSPRINGER Journal for Fusion Energy

Title of PaperHigh Voltage Series Switch and Crowbar Protection in RF Heating

PublisherSPRINGER

Volume Number30

Page Number530-538

Published YearDecember 2011

ISSN/ISBN No0164-0313

Indexed INScopus, UGC List

Experimental and simulation study of rectangular and circular primary clarifier for wastewater treatment

Journal

Journal NameEnvironmental Technology and Innovation

Title of PaperExperimental and simulation study of rectangular and circular primary clarifier for wastewater treatment

PublisherElsevier

Volume Number23

Page Number101610

Published YearMay 2021

ISSN/ISBN No2352-1864

Indexed INScopus

Abstract

Clarification is an essential process in wastewater treatment which removes suspended solids using flocculants The efficiency of the primary clarifier is important as it affects the performance of the subsequent processes. The modeling of clarifiers are carried out using one-dimensional flux theory or two dimensional computational fluid dynamics. In this paper one-dimensional modeling of sedimentation process based on flux theory applied to lab-scale circular and rectangular primary clarifiers is reported. The experiments were carried out for three operating conditions i.e. low, medium and high solid concentrations using lab-scale setup. The one-dimensional sedimentation process model was implemented on MATLAB platform and simulation was carried out. The model simulation is able to predict effluent total suspended solids as well as TSS present along the height of the lab-scale primary clarifiers. The average R2 value 0.97 was observed between measured and simulated total suspended solids present along the height of circular clarifier for the three operating conditions whereas average R2 value 0.96 was found in the case of rectangular clarifier for identical conditions. Based on the simulation and experimental results the removal of suspended solids is found better in circular clarifier as compared to rectangular clarifier for the influent flow rate of 134 mL/min with influent total suspended solids from 300 to 600 mg/L.

Multivariate statistics for soft sensing primary clarifier effluent quality in industrial wastewater treatment plan

Journal

Journal NameInternational Journal of Chemtech Research

Title of PaperMultivariate statistics for soft sensing primary clarifier effluent quality in industrial wastewater treatment plan

PublisherSphinxsai

Volume Number14

Page Number249-258

Published YearMarch 2021

ISSN/ISBN No2455-9555

Abstract

In wastewater treatment plant clarification is a major step to remove the suspended solids. The performance of the primary clarifier is important as the effluent of primary clarifier subsequently treated further in downstream biological process. The main objective of primary clarifier is to remove the suspended solids present in influent wastewater. The monitoring of the primary clarifier operation is crucial in order to maintain the efficient performance. In this work, application of multivariate statastical techniques to predict or softsense the effluent quality of industrial primary clarifier is investigated. The industrial clariflocculator located at common effluent treatment plant (CETP), Vatva, Ahmedabad, India is considered. The Principal Component Analysis (PCA) is adopted to check and reveal the collinearity among influent COD, BOD, TDS and TOC. Three partial least square (PLS) models are developed to estimate effluent COD, BOD and TOC based on influent quality parameters. The PLS model of effluent TOC is found better than the PLS models for COD and BOD. It is observed that the fewer number of PLS components, that well explain the maximum variance in the effluent quality parameter (COD, BOD or TOC), gives better results. Hence, there is no need to consider all PLS components for effluent quality soft-sensor model development. The estimation of effluent COD, BOD and TOC can be done with two, three and four PLS components rather than all eight PLS components. These multivariate statistics based models are found effective and promising, hence can help avoid or reduce the need of sampling and experimental analysis for the effluent COD, BOD and TOC, because these can be estimated using soft sensors based on these PLS models using measured influent quality parameters. Keywords : Primary clarifier, partial least square, principal component analysis..

Power train modelling and range analysis for all terrain vehicles

Book Chapter

Book NameTechnologies for Sustainable Development

PublisherTaylor and Francis group

Author NameKeval parmar, Jay Desai, Jatin Patel, Nital Patel

Page Number256-271

Chapter TitlePower train modelling and range analysis for all terrain vehicles

Published YearJuly 2020

ISSN/ISBN No10.1201/9780429321573-47

Prediction of total suspended solids present in effluent of primary clarifier of industrial common effluent treatment plant: Mechanistic and fuzzy approach

Journal

Journal NameJournal of Water Process Engineering

Title of PaperPrediction of total suspended solids present in effluent of primary clarifier of industrial common effluent treatment plant: Mechanistic and fuzzy approach

PublisherElsevier

Volume Number34

Page Number101146

Published YearFebruary 2020

Indexed INScopus, Web of Science

Abstract

Primary clarifier plays vital role in removal of pollutants present as total suspended solids (TSS) in wastewater. In this research work prediction of effluent TSS present in the sedimentation tank of clariflocculator is reported. The data of common effluent treatment plant (CETP), Ahmedabad, India has been used in the development of soft sensor. The mechanistic and fuzzy inference system (FIS) soft sensor models have been developed. The models predict the effluent total suspended solids (TSSe) of clariflocculator process based on the measurement of influent flow rate (Qf) and influent total suspended solids (TSSin). The root mean square error (RMSE) of mechanistic model and fuzzy inference system were 30 and 48 respectively for the data samples Qf ranging from 800 to 900 m3/h and TSSin from 300–600 mg/L. These ranges are typically observed throughout the year at CETP, Ahmedabad, India. The percentage mean accuracy for mechanistic model was 88 %. The difference between predicted and actual measured values of RMSE and percentage mean accuracy of mechanistic model is acceptable as system is highly sensitive. Mechanistic model gives information of total suspended solids present in retentate as well as TSS present at different height of the sedimentation tank in addition to TSS present in effluent.

Soft sensor for TSS in Effluent of Primary Clarifier of Industrial Effluent Treatment Plant

Conference

Title of PaperSoft sensor for TSS in Effluent of Primary Clarifier of Industrial Effluent Treatment Plant

Proceeding NameInternational Conference on Smart Technologies for Energy, Environment and Sustainable Devlopment

PublisherScientific Publishing Services (P) Ltd

Author NameNital Patel

OrganizationG.H.Raisoni Collegge of Engineering , Nagpur

Year , VenueJuly 2018 , G.H.Raisoni Collegge of Engineering , Nagpur

PLC based Interlocking Management for High current DC power supply and monitoring with MODBUS

Conference

Title of PaperPLC based Interlocking Management for High current DC power supply and monitoring with MODBUS

PublisherEMSSH-2018

OrganizationMahratta Chamber of Commerce, Industries and Agriculture Tilak Road, Pune (India)

Year , VenueMay 2018 , Mahratta Chamber of Commerce, Industries and Agriculture Tilak Road, Pune (India)

ISSN/ISBN No978-93-877793-28-6

Abstract

In this paper the digitization of power supply system is demonstrated. The benefits of digitization of power supply, in terms of fault detection and condition based monitoring is also proposed and presented.

Development of a slow controller based prototype for Data Acquisition and Control System for Fusion Research and Development

Conference

Title of PaperDevelopment of a slow controller based prototype for Data Acquisition and Control System for Fusion Research and Development

PublisherIEEE Xplore

Organization Kumaracoil, India

Year , VenueDecember 2016 , Kumaracoil, India

ISSN/ISBN No978-1-5090-5240-0

Indexed INOthers

Abstract

Nuclear fusion is the upcoming trend to develop high power and meet the energy requirements in the world. International Thermonuclear Experimental Reactor (ITER) is a megaproject to develop a reactor producing high amount of power through nuclear fusion.

Modelling, simulation and validation of continuous sedimentation process

Conference

Title of PaperModelling, simulation and validation of continuous sedimentation process

Proceeding NameIEEE Xplore

OrganizationIIT, Hydrabad

Published YearJanuary 2016

ISSN/ISBN No978-1-4673-7993-9

Abstract

One-dimensional model of continuous sedimentation process is presented in this paper. The proposed model is based upon 1-dimensional discretization of sedimentation tank into number of layers along its height. A point source and distributed source models are compared. Investigation of concentration at various layers of the tank is carried out.

PID Control Using ARM Controller and MODBUS RTU

Conference

Title of PaperPID Control Using ARM Controller and MODBUS RTU

PublisherNCETET-2014

OrganizationShri Ummed Singh Bhati College of Engineering and Management, Abu, Rajasthan, India.

Year , VenueMarch 2014 , Shri Ummed Singh Bhati College of Engineering and Management, Abu, Rajasthan, India.

ISSN/ISBN No978-93-83459-34-6

Abstract

An embedded system is a special-purpose computer system designed to perform a small set of dedicated functions, sometimes with real-time computing constraints.

LabVIEW Based Automated Test Set Up of an Electrical System: Compressors

Conference

Title of PaperLabVIEW Based Automated Test Set Up of an Electrical System: Compressors

PublisherResearch India Publications

OrganizationJawaharlal Nehru University, New Delhi

Year , VenueMarch 2014 , Jawaharlal Nehru University, New Delhi

Page Number381-386

ISSN/ISBN No2250-3234

Real time cascade control using ARM controller and Modbus Protocol

Conference

Title of PaperReal time cascade control using ARM controller and Modbus Protocol

Proceeding NameNational Conference on Emerging Trends in Engineering and Technology

Author NameNital Patel

OrganizationUSB group of colleges, Abu road, Rajasthan

Year , VenueMarch 2014 , USB group of colleges, Abu road, Rajasthan

Indexed INOthers

LabVIEW based PV Cell Characterization and MPPT under Varying Temperature and Irradiance Conditions

Conference

Title of PaperLabVIEW based PV Cell Characterization and MPPT under Varying Temperature and Irradiance Conditions

PublisherIEEE Xplore

Year , VenueDecember 2013 , Nirma University

ISSN/ISBN No978-1-4799-0726-7

Abstract

This paper presents an analysis of variations in the output characteristics of the mono-crystalline silicon PV cell under different temperature and irradiance levels using LabVIEW as the simulation tool. The base of study is mathematical modeling of PV cell characteristics using the well- known one-diode equivalent model in LabVIEW.

iHAS: An Intelligent Home Automation Based System for Smart City

Conference

Title of PaperiHAS: An Intelligent Home Automation Based System for Smart City

Proceeding Name2021 IEEE International Symposium on Smart Electronic Systems

Published YearOctober 2022

Indexed INScopus, PubMed, Web of Science, ABDC, Indian citation Index, EBSCO, Others

Machine learning models for non-invasive glucose measurement: towards diabetes management in smart healthcare

Journal

Journal NameHealth and Technology

Title of PaperMachine learning models for non-invasive glucose measurement: towards diabetes management in smart healthcare

PublisherSpringer

Volume Number12

Page Number950-970

Published YearSeptember 2022

Indexed INScopus, Web of Science, ABDC

iYogacare: Real-Time Yoga Recognition and Self-Correction for Smart Healthcare

Journal

Journal NameIEEE Consumer Electronics Magazine

Title of PaperiYogacare: Real-Time Yoga Recognition and Self-Correction for Smart Healthcare

Published YearAugust 2022

Indexed INScopus, PubMed, Web of Science, ABDC, Indian citation Index, EBSCO, Others

iGLU 3.0: A Secure Noninvasive Glucometer and Automatic Insulin Delivery System in IoMT

Journal

Journal NameIEEE Transactions on Consumer Electronics

Title of PaperiGLU 3.0: A Secure Noninvasive Glucometer and Automatic Insulin Delivery System in IoMT

PublisherIEEE

Volume Number68

Page Number14-22

Published YearJuly 2022

Indexed INScopus, PubMed, Web of Science, ABDC, Indian citation Index, EBSCO, Others

Everything you wanted to know about continuous glucose monitoring

Journal

Journal NameIEEE Consumer Electronics Magazine

Title of PaperEverything you wanted to know about continuous glucose monitoring

Published YearNovember 2021

Indexed INScopus, Web of Science, ABDC, Indian citation Index, EBSCO, Others

iGLU 2.0: A new wearable for accurate non-invasive continuous serum glucose measurement in IoMT framework

Journal

Journal NameIEEE Transactions on Consumer Electronics

Title of PaperiGLU 2.0: A new wearable for accurate non-invasive continuous serum glucose measurement in IoMT framework

Published YearSeptember 2020

Indexed INScopus, PubMed, Web of Science, ABDC, Indian citation Index, EBSCO, Others

iGLU 1.1: Towards a glucose-insulin model based closed loop iomt framework for automatic insulin control of diabetic patients

Conference

Title of PaperiGLU 1.1: Towards a glucose-insulin model based closed loop iomt framework for automatic insulin control of diabetic patients

Proceeding Name2020 IEEE 6th World Forum on Internet of Things (WF-IoT

Published YearApril 2020

Indexed INScopus, PubMed, Web of Science, ABDC, Others

An IoMT based non-invasive precise blood glucose measurement system

Conference

Title of PaperAn IoMT based non-invasive precise blood glucose measurement system

Proceeding Name2019 IEEE International Symposium on Smart Electronic Systems

Published YearDecember 2019

Indexed INScopus, PubMed, Web of Science, ABDC, Others

iGLU: An intelligent device for accurate noninvasive blood glucose-level monitoring in smart healthcare

Journal

Journal NameIEEE Consumer Electronics Magazine

Title of PaperiGLU: An intelligent device for accurate noninvasive blood glucose-level monitoring in smart healthcare

PublisherIEEE

Published YearNovember 2019

Indexed INScopus, PubMed, Web of Science, ABDC, Indian citation Index, Others

A precise non‑invasive blood glucose measurement system using NIR spectroscopy and Huber’s regression model

Journal

Journal NameOptical and Quantum Electronics

Title of PaperA precise non‑invasive blood glucose measurement system using NIR spectroscopy and Huber’s regression model

Published YearSeptember 2019

Indexed INScopus, PubMed, Web of Science, ABDC, Others

A novel time-domain based feature for EMG-PR prosthetic and rehabilitation application

Conference

Title of PaperA novel time-domain based feature for EMG-PR prosthetic and rehabilitation application

Proceeding Name2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Published YearJuly 2019

Indexed INPubMed, Web of Science, ABDC, Indian citation Index, Others

Full-Wave Bridge Rectifier with CMOS Pass Transistors Configuration

Journal

Journal NameJournal of Circuits, Systems and Computers

Title of PaperFull-Wave Bridge Rectifier with CMOS Pass Transistors Configuration

Published YearJanuary 2018

Indexed INScopus, Web of Science, ABDC

Analyzing the impact of augmented transistor NMOS configuration on parameters of 4x1 multiplexer

Journal

Journal NameRadioelectronics and Communications Systems

Title of PaperAnalyzing the impact of augmented transistor NMOS configuration on parameters of 4x1 multiplexer

PublisherSpringer

Published YearJanuary 2018

Indexed INScopus, PubMed, Web of Science, ABDC, Others

Low leakage and high CMRR CMOS differential amplifier for biomedical application

Journal

Journal NameAnalog Integrated Circuits and Signal Processing

Title of PaperLow leakage and high CMRR CMOS differential amplifier for biomedical application

PublisherSpringer

Published YearJanuary 2017

An innovative design: MOS based full-wave centre-tapped rectifier

Journal

Journal NameWireless Personal Communications

Title of PaperAn innovative design: MOS based full-wave centre-tapped rectifier

PublisherSpringer

Published YearJanuary 2016

Indexed INScopus, PubMed, Web of Science, ABDC, Others

Power delay optimization of nanoscale 4× 1 multiplexer using CMOS based voltage doubler circuit

Journal

Journal NameRadioelectronics and Communications Systems

Title of PaperPower delay optimization of nanoscale 4× 1 multiplexer using CMOS based voltage doubler circuit

PublisherSpringer

Published YearJanuary 2016

Analysis of ATPMOS configurations-based 4× 1 multiplexer with estimation of power and delay

Journal

Journal NameInternational Journal of Electronics

Title of PaperAnalysis of ATPMOS configurations-based 4× 1 multiplexer with estimation of power and delay

PublisherTaylor & francis

Published YearJanuary 2014

Indexed INScopus, Web of Science, ABDC

Analyzing the impact of bootstrapped adc with augmented nmos sleep transistors configuration on performance parameters

Journal

Journal NameCircuits, Systems, and Signal Processing

Title of PaperAnalyzing the impact of bootstrapped adc with augmented nmos sleep transistors configuration on performance parameters

PublisherSpringer

Published YearJanuary 2013

Indexed INScopus, Web of Science, ABDC, Others

Social spider optimization based identification and optimal control of fractional order system

Journal

Journal NameInternational journal of modelling , identification and control

Title of PaperSocial spider optimization based identification and optimal control of fractional order system

PublisherInderscience Publishers

Volume Number37

Page Number80-93

Published YearNovember 2021

ISSN/ISBN No1746-6172

Indexed INScopus, Web of Science

AGWallP—Automatic guided wall painting system

Conference

Title of PaperAGWallP—Automatic guided wall painting system

Proceeding NameNUiCONE 2017

PublisherIEEE

OrganizationNirma University

Year , VenueNovember 2017 , Ahmedabad

Page Number1-5

ISSN/ISBN No 978-1-5386-1747-2

Indexed INScopus, Others

Abstract

This paper presents the development of prototype of Automatic Wall Painting Machine guided by wall dimensions and paint colour being sent from user through a camera embedded Raspberry Pi 2 module. The Raspberry Pi Module captures the wall image and calculates the dimensions using Image Processing tools and remotely forwards the dimensions to the base painter system using bluetooth transmission. Th

Steam turbine lube oil system protections using SCADA & PLC

Conference

Title of PaperSteam turbine lube oil system protections using SCADA & PLC

Proceeding Name International Conference on Intelligent Computing and Control Systems (ICICCS)

PublisherIEEE

Author NameAstha Nagar

OrganizationVaigai College of Engineering

Year , VenueJune 2017 , Madurai , India

Page Number1376-1381

ISSN/ISBN No978-1-5386-2745-7

Indexed INScopus, UGC List, Others

Prototype buildout of GUI based multifaceted automated wheelchair system

Conference

Title of PaperPrototype buildout of GUI based multifaceted automated wheelchair system

Proceeding Name 2017 International Conference on Intelligent Computing and Control Systems (ICICCS)

PublisherIEEE

Organization Vaigai College of Engineering,

Year , VenueJune 2017 , Madurai, Tamilnadu,

Page Number406-411

ISSN/ISBN No978-1-5386-2745-7

Indexed INOthers

ANFIS as a controller for fractional order system

Conference

Title of PaperANFIS as a controller for fractional order system

Proceeding NameEngineering (NUiCONE), 2015 5th Nirma University International Conference on

PublisherIEEE

OrganizationNirma University

Year , VenueNovember 2015 , Ahmedabad

Page Number1-5

ISSN/ISBN No978-1-4799-9991-0

Indexed INScopus, Others

Abstract

In this paper, design and implementation of Neuro-Fuzzy Algorithm for Fractional Order Controller System has been carried out. Fractional order system and controller has wide application in control word. Simulation study for the fractional order transfer function using different control algorithm has been done. Fractional order system was controlled by ANFIS and Classical PID controller. Comparati

ANFIS and CANFIS based MRAC for fractional order system

Conference

Title of PaperANFIS and CANFIS based MRAC for fractional order system

Proceeding NameIntelligent Systems and Control (ISCO), 2016 10th International Conference on

PublisherIEEE

OrganizationKarpagam College of Engineering

Year , VenueOctober 2015 , Coimbatore, Tamilnadu

Page Number1-6

ISSN/ISBN No978-1-4673-7807-9

Indexed INScopus, Others

Abstract

In this paper, model reference adaptive control of fractional order system using ANFIS and CANFIS has been discussed. In this paper ANFIS (Adaptive Neuro Fuzzy Inference System) has been used for the MISO (Multi input single output) system and CANFIS (Coactive Neuro Fuzzy Inference System) is used for MIMO (Multi input Multi output) system. In this paper fractional order MIT rules are used to gene

Verification of various numerical methods using hardware implementation

Conference

Title of PaperVerification of various numerical methods using hardware implementation

Proceeding NameFuturistic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on

PublisherIEEE

OrganizationAmity University

Year , VenueFebruary 2015 , New Delhi

Page Number542-547

ISSN/ISBN No978-1-4799-8433-6

Indexed INScopus, Others

Comparative analysis of different fractional PID tuning methods for the first order system

Conference

Title of PaperComparative analysis of different fractional PID tuning methods for the first order system

Proceeding NameFuturistic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on

PublisherIEEE

OrganizationAmity University

Year , VenueFebruary 2015 , Delhi

Page Number640-646

ISSN/ISBN No978-1-4799-8433-6

Indexed INScopus, Others

Abstract

This paper deals with the use of fractional order PID (FOPID) controller for controlling the output response of first order systems. In this paper, the PID controller and FOPID controller has been tuned using various optimization techniques: fminsearch, fmincon, genetic and fuzzy. The simulation result shows that the FOPID controller performs better than PID controller in most cases.

Design and comparative study of PID controller tuning method from IMC tuned 2-DOF pole placement parameter structure for the DC motor speed control application

Conference

Title of PaperDesign and comparative study of PID controller tuning method from IMC tuned 2-DOF pole placement parameter structure for the DC motor speed control application

Proceeding NameNUiCONE 2013

PublisherIEEE

OrganizationNirma University

Year , VenueNovember 2013 , Ahmedabad

Page Number1-4

ISSN/ISBN No2375-1282

Indexed INScopus, Others

Abstract

All the closed loop control system requires the controller for improvement of transient response of the error signal. Though the tuning of PID controller in real time is bit difficult and moreover it lacks the disturbance rejection capability. In order to compensate these internal design problems, internal model control (IMC) based tuning approach has been developed. The analytical method based on

Comparative study for various fractional order system realization methods

Conference

Title of PaperComparative study for various fractional order system realization methods

Proceeding NameEngineering (NUiCONE), 2013 Nirma University International Conference on

PublisherIEEE

OrganizationNirma University

Year , VenueNovember 2013 , ahmedabad

Page Number1-4

ISSN/ISBN No2375-1282

Indexed INScopus, Others

Abstract

There are many dynamic systems that can be characterized better by using non-integer order dynamic model based on fractional calculus or, differentiation or integration. Traditional calculus is based on integer order differentiation and integration. In this paper, we have represented comparative study of different fractional order systems using different realization methods. Basic definitions of f

Simulation, design and practical implementation of IMC tuned digital PID controller for liquid level control system

Conference

Title of PaperSimulation, design and practical implementation of IMC tuned digital PID controller for liquid level control system

Proceeding NameEngineering (NUiCONE), 2011 Nirma University International Conference on

PublisherIEEE

OrganizationNirma University

Year , VenueDecember 2011 , ahmedabad

Page Number1-5

Indexed INScopus, Others

Abstract

The paper is mainly concerned on Liquid level control systems which are commonly used in many process control applications to control, for example, the level of liquid in a tank. Liquid enters the tank using a pump, and after some processing within the tank the liquid leaves from the bottom of the tank. The requirement in this system is to control the rate of liquid delivered by the pump so that t

Moving Object Tracking In 2D Using State Estimation

Book Chapter

Book Name Recent Advances in Manufacturing Modelling and Optimization

PublisherSpringer

Author NameBhavika Balani, Bansari Nayak, Sneh Soni

Chapter TitleMoving Object Tracking In 2D Using State Estimation

Published YearApril 2022

ISSN/ISBN No978-981-16-9952-8

Indexed INScopus

Abstract

This paper demonstrates the tracking of moving object in 2D using a state estimation algorithm. The proposed work covers the state estimation, its importance, applications, and different algorithms from which this paper mainly focuses on the Kalman filter algorithm and the Moving Horizon Estimation (MHE) algorithm. The explanation begins with the need for state estimation, types of the system models, and state estimation for deterministic and stochastic systems. There is a fundamental description of the Kalman filter algorithm and Moving Horizon Estimation algorithm. The paper describes the whole tracking process and also the implementation of a state estimation algorithm for object tracking using image process tools. The outcome of object tracking using the Kalman filter algorithm is presented using MATLAB software.

Predicting Remaining Useful Life of Capping and Filling Machine Using Exponential Degradation Model with Web Server Deployment

Book Chapter

Book NameRecent Advances in Manufacturing Modelling and Optimization

PublisherSpringer

Author NameDevang Gajjar, Shrey Shah, Sneh Soni

Chapter TitlePredicting Remaining Useful Life of Capping and Filling Machine Using Exponential Degradation Model with Web Server Deployment

Published YearApril 2022

ISSN/ISBN No 978-981-16-9952-8

Indexed INScopus

Abstract

his paper demonstrates the deployment of predictive maintenance algorithm for capping and filling machine. The proposed work covers the predictive maintenance algorithm, machine operations, data analytics, user interface, and its implementation on the capping and filling machine. The explanation begins from fetching the sensor data stored in PLC, saving it to a SQL database via OPC server, and performing prognostics analysis on this data by extracting features, ranking those features, performing principal component analysis, and feeding obtained health indicator matrix to the exponential degradation model. As a result, the remaining useful life of the system is derived and plotted in the form of a probability distribution function along with the model itself. Real-time machine parameters along with plots are presented to the user in the form of a graphical user interface built as a MATLAB application, which is further deployed on a Web app server demonstrating the ease of local user accessibility in the form of a Web site.

Review on IIOT has revolutionized Greenhouse, Manufacturing and Medical Industry.

Book Chapter

Book NameRecent Advances in Mechanical Infrastructure

PublisherSpringer

Author NameVisheshgirI Goswami, Priyanka Jadav, Sneh Soni

Chapter TitleReview on IIOT has revolutionized Greenhouse, Manufacturing and Medical Industry.

Published YearJanuary 2022

ISSN/ISBN No978-981-16-7660-4

Indexed INOthers

Abstract

The transformation of the physical world into digital in terms of industries has made everything connected. Evolution of technologies has created different terms and concepts. IIoT is one of the major concepts in not only manufacturing industries but industries like agro-based or medical. Over the period of time, IIoT and IoT have been used interchangeably although they are two very different concepts. When IoT is applied in manufacturing, it is known as ‘Industrial Internet of Things.’ This technology is a combination of different technologies like M2M communication, machine learning, big data, sensor data and automation those already existed in industries. IIoT deals with industrial applications (manufacturing), large-scale networks, while IoT deals with general applications (consumer usage), small-scale networks. IIoT or Industry 4.0 aims at interconnectivity, automation, real-time data. There are a number of benefits, but at the same time one cannot neglect all the challenges that are faced. This paper gives an overview of what is meant by IIoT and its related concepts, Industry 4.0, and also tries to analyze the benefits, challenges faced, its applications, smart manufacturing and its successful implementations and a look into how it has and is continuously contributing to different industries like manufacturing, greenhouse industry and medical industry.

Modification and Upgradation of Semiautomated Hydraulic Extruder to Enhance Its Performance

Book Chapter

Book NameRecent Advances in Mechanical Infrastructure

PublisherSpringer

Author NameRushabh Shah, Sneh Soni

Chapter TitleModification and Upgradation of Semiautomated Hydraulic Extruder to Enhance Its Performance

Published YearJanuary 2022

ISSN/ISBN No978-981-16-7660-4

Abstract

This paper demonstrates the deployment of some maintenance aspects, optimization and innovation measures for semiautomated hydraulic extruder. The proposed work covers the maintenance challenges faced by this continuously operated machine which reduces the work hours and cause high production loss. The first part starts from understanding challenges causing frequent disruptions in operations and covers all the changes required from induction motors to pumps and electrical system placement. Thus, mechanical, electrical, hydraulic all aspects work in an analogous way at the same time to bring in electrical efficiency, cost efficiency,and save invaluable time elapsed due to maintenance.

Predictive Maintenance Control and Automation in Plastic Injection Molding Machine

Book Chapter

Book Name Recent Advances in Manufacturing Modelling and Optimization

PublisherSpringer

Author NameAnmol Bhagat, Sneh Soni

Chapter TitlePredictive Maintenance Control and Automation in Plastic Injection Molding Machine

Published YearJune 2021

ISSN/ISBN No978-981-16-9952-8

Indexed INScopus

Abstract

In this paper, the control system for the injection molding machine is designed with the help of PLC and SCADA. The main control part of the machine is the molding and clamping unit. At first, a polymer is inserted with the help of a screw and then heated at temperature 275 ℃ with a heater and for measurement of temperature K-Type thermocouple is used. The molted polymer then pressurized with a screw passed through the nozzle at high pressure. The melted polymer is fed into the clamping unit then the material comes into its shape and with cold water material is cool down then discharge from the clamping unit. We analyzed the process using SCADA. We also focus on the application and procedure for predictive maintenance based on the “mean time to failure statistic” to decrease production losses due to machine breakdown. The “5-Why” study method is used to know the machine condition and main issues.

Efficient and Economically Optimized way to limit Inrush current in an Induction Motor using Solid State Devices

Book Chapter

Book NameAdvances in Automation, Signal Processing, Instrumentation, and Control

Author NameKartik Gajera, Kushal Adeshara, Sneh Soni

Page Number859–871

Chapter TitleEfficient and Economically Optimized way to limit Inrush current in an Induction Motor using Solid State Devices

Published YearMarch 2021

ISSN/ISBN No978-981-15-8221-9

Indexed INScopus

Abstract

The paper proposes the development of a solid-state-based soft starter. It is a device that protects the motor from sudden influxes of power by limiting the large inrush of current during startup by gradually ramping up the voltage to rated, hence, producing the gradual start. It is used in an application that requires speed and torque control only during startup. Compared to conventional DOL direct online starters in which inrush current is five to ten times the rated current, the paper presents the development and implementation of a technique that provides precise control over inrush current. The added feature of a smooth stop provides protection against hammering in submersible motors. It not only satisfies the existing needs but also takes up less space than variable frequency drive (VFD); hence, stand out distinctively from the rest of its type thus making itself quite marketable. To make the solution economically viable and less complex, a fully analog-based circuit has been presented which significantly reduces the cost compared to microcontroller-based circuits.

Multifunctional Load cell and RFID with Stock Management

Book Chapter

Book NameAdvances in Automation, Signal Processing, Instrumentation, and Control

PublisherSpringer

Author NameSneh Soni, Umang Prajapati, Rushabh Gandhi

Page Number1099–1106

Chapter TitleMultifunctional Load cell and RFID with Stock Management

Published YearMarch 2021

ISSN/ISBN No978-981-15-8221-9

Indexed INScopus

Abstract

‘Imagine a scenario where the item is fabricated on a premise of weight and sell based on the single unit?’ This research paper chiefly worried on the load cell and radio frequency identification detection (RFID) it allows the remote and remote recognizing proof of an item, for the date, time, weight, quantity, price and serial no. Here, the load cell describes that it does not just measure the weight of an object but according to pre-programmed and various calculations it can perform inventory management. This inventory technology empowers the item weight, quantity, price, date and time and with classifications incorporating substances in a store framework with the normal state available, making such a colossal benefit with an expanded capability, lessened reaction time and cost. This paper focuses on demonstrating automatic sock management to save lot of manpower and time. Our test event uncovers that load cell and RFID technology essentially enhance the stock administration system by shortening the time distribution, item weight, quantity, price, date and time and with classifications of everything by 75% (Sheng et al Computer 41:21–28, 2008; Wang Y, Wang Y, Yang, Y (2010) Sci Direct 77(5):803–815)

Greenhouse monitor and control with LabVIEW

Journal

Journal Name“International journal of Advanced Research Engineering and Technology”

Title of PaperGreenhouse monitor and control with LabVIEW

Volume NumberVolume 11, Issue 10

Published YearOctober 2020

ISSN/ISBN NoISSN: 0976-6480

Indexed INScopus

Abstract

Monitoring and controlling a greenhouse environment involves sensing the changes occurring inside it which can influence the rate of growth in plants. The System consists of various sensors, namely temperature and light. These sensors sense various parameters – temperature, humidity, and light intensity and are then sent to a computer Lab view application via a DAQ Assistant.

Autonomous Navigation Using Monocular ORB SLAM2

Book Chapter

Book NameRecent Advances in Communication Infrastructure

PublisherSpringer

Author NameShubham Vithlani, Sneh Soni, Param Rajpura

Page Number59–68

Chapter TitleAutonomous Navigation Using Monocular ORB SLAM2

Published YearNovember 2019

ISSN/ISBN No978-981-15-0974-2

Indexed INScopus

Abstract

Simultaneous Localisation and Mapping (SLAM) is the mapping of an unknown environment and at the same time localising the ego body in that environment. ORB SLAM2 (IEEE Trans Robot 33:1255–1262 2017 [1]) is a state of the art visual SLAM algorithm which can calculate camera trajectory using Monocular camera. Since monocular slam has the scale drift issue the source code has been so altered that the map can be saved or previously built map can be reloaded for localisation. To plan optimal trajectory of a vehicle to reach from a source to goal, A* (Computing the shortest path: A search meets graph theory 2005 [2]) search algorithm has been implemented. Gazebo (2004 IEEE/RSJ International Conference on Intelligent Robots and Systems 2004 [3]) is an open-source robot simulation tool on which a Turtlebot robot was used to test algorithm that has been proposed in this paper. Turtlebot is a two-wheeled differential drive robot on which various sensors are mounted. A novel approach has been used for local path planning of the vehicle. ROS (ROS: an open-source Robot Operating System 2009 [4]) framework has been used to communicate between various nodes for performing navigation.

High speed real time data acquisition system using PXIe technology

Conference

Title of PaperHigh speed real time data acquisition system using PXIe technology

Proceeding NameNirma University International Conference on Engineering (NUiCONE) 2013

Publisher IEEE

OrganizationNirma Institute of Technology

Year , VenueJanuary , Ahmedabad, India

ISSN/ISBN No2375-1282

Indexed INScopus

Abstract

PCI eXtension for Instrumentation (PXI) is a rugged PC-based platform that offers a high-performance, low-cost deployment solution for measurement and automation systems. PXI combines the Peripheral Component Interconnect (PCI) electrical bus with the rugged, modular Euro card mechanical packaging of CompactPCI and adds specialized synchronization buses and key software features.

Internal model control for approximated process model using LabVIEW

Conference

Title of PaperInternal model control for approximated process model using LabVIEW

Proceeding NamePEPCCI

PublisherSVIT,VASAD

OrganizationSVIT,VASAD

Year , VenueDecember 2011 , SVIT,VASAD

Abstract

Classical Proportional Integral Derivative(PID) controller remains the most popular approach for industrial process control. Poor tuning of PID controller can lead to mechanical wear associated with excessive control activity, poor control performance and even poor quality products. In this paper, we design procedure for the internal model control (IMC) approach for control plant.