Publications

Alpesh Patel

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)

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

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

Ankit Sharma

American sign language classification using deep learning

Journal

Journal NameINTERNATIONAL JOURNAL OF BIOMETRICS

Title of PaperAmerican sign language classification using deep learning

PublisherInderscience Publishers Ltd.

Volume Number16

Page Number640-659

Published YearOctober 2024

ISSN/ISBN No1755-8301

Indexed INScopus, Web of Science

MULTILINGUAL HANDWRITTEN DIGIT RECOGNITION USING MULTIPLEXER-BASED DEEP LEARNING MODELS

Conference

Title of PaperMULTILINGUAL HANDWRITTEN DIGIT RECOGNITION USING MULTIPLEXER-BASED DEEP LEARNING MODELS

Proceeding NameINTERNATIONAL IEEE CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT)

PublisherIEEE

Author NameAMAAN MANSURI, ATIR SAKHRELIA, ANAYA PATEL, PRIYANK THAKKAR, SHARMA ANKIT RAVINDRA, KRISHN LIMBACHIYA

OrganizationIIT MANDI, HIMACHAL PRADESH, INDIA

Page Number1-6

Published YearJune 2024

Indexed INScopus

DISEASE DETECTION IN LEAVES USING DEEP LEARNING

Conference

Title of PaperDISEASE DETECTION IN LEAVES USING DEEP LEARNING

Proceeding NameINTERNATIONAL IEEE CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT)

PublisherIEEE

Author NameSANKET LAKHANI, KRISHN LIMBACHIYA, SHARMA ANKIT RAVINDRA, HIMANSHU PATEL

OrganizationIIT MANDI, HIMACHAL PRADESH, INDIA

Page Number1-7

Published YearJune 2024

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

Skin cancer detection using convolution neural network

Conference

Title of PaperSkin cancer detection using convolution neural network

Proceeding NameInternational Conference on Innovative Sustainable Computational Technologies

PublisherIEEE

Page Number1-5

Published YearSeptember 2023

Indexed INScopus

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

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

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

Arvind Yadav

Computational analysis and designing of flight controllers to improve the drone performance for a novice pilot

Journal

Journal NameInternational Journal on Interactive Design and Manufacturing (IJIDeM)

Title of PaperComputational analysis and designing of flight controllers to improve the drone performance for a novice pilot

PublisherSpringer Nature

Page Number1-14

Published YearNovember 2024

ISSN/ISBN No1955-2513, 1955-2505

Indexed INScopus

Abstract

Flight controllers play vital role in stability, performance and control operations of a drone throughout the flight. Inappropriate flight controller selection can jeopardize both the drone and its payload, making it imperative to address the meticulous choice of drone flight controllers for specific applications. This work delves into the behavior of various flight controllers when tested in a quadcopter configuration under consistent structural and environmental conditions. The research not only examines the selection of flight controllers but also explores the challenges faced by amateur drone operators during setup and flight, offering practical techniques to overcome them. Among the various array of flight controllers available in the market, namely KK2.1.5, QQ super thunder, APM, DJI NAZA Mlite, and Pixhawk, have been used in this experiment. Comprehensive experiments were conducted using identical drone configurations to elucidate the precise difficulties associated with each flight controller. The results revealed instances of suboptimal stability, communication issues, and troubleshooting errors for certain controllers. Notably, KK2.1.5 and QQ super thunder exhibited non-responsiveness when utilized in hexacopters and octacopters. Ultimately, this research underscores the NAZA flight controller’s suitability for novice pilots among the tested options. The insights presented herein serve as a valuable resource for researchers seeking to select the most appropriate flight controller based on their piloting proficiency and for resolving challenges encountered during drone operations.

Paper Flight Testing of Drone Robot with KK2. 1.5 Flight Controller for auto-stability

Conference

Title of PaperPaper Flight Testing of Drone Robot with KK2. 1.5 Flight Controller for auto-stability

Proceeding Name2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

PublisherIEEE

Author NameNC Ajay Vishwath, Arvind R Yadav, Ummer Iqbal, Aamuktha Yella, Kotagiri Spandana, Priyusha Aamu

OrganizationIISC Bengaluru

Year , VenueSeptember 2024 , Bangalore, India

Page Number1-6

ISSN/ISBN No979-8-3503-8592-2

Indexed INScopus

Abstract

In this experimental study, the avionics design and calibration of a drone robot using the KK2.1.5 flight controller were carried out. The objective of this work is to implement a suitable avionic design and carry out precise calibration to achieve automatic stability and control of the drone. This research begins with the choice of avionics design needed for the drone robot. Further the choice of the electrical components Weight Estimation and the Thrust Estimation were performed to obtain the necessary research parameters.

The chapter portrays a new development in the field of embedded systems. It showcases the combination of Machine Learning algorithms and low-memory microcontrollers (ESP32-CAM). The uniqueness of this idea lies in the fact that Machine Learning is generally perceived as a processor-intensive task that requires high memory and storage. However, as seen in this chapter, one may soon realize how wrong this notion is with emerging technologies that are taking over the globe. This project portrays the successful implementation of a binary colour classification model on the ESP32-CAM with 68% accuracy post-training result with a mere 15 images of each colour. Machine learning has increased over the years. Some applications include image classification, object detection, and question-answering. This work merely puts out awareness in this domain and is hopeful that dedicated efforts towards it can solve many industrial problems.

Bio and bio-based hybrid techniques for municipal wastewater treatment and resource recovery

Book Chapter

Industrial machine-vision (MV) applications require high-speed stitching of low-textural images from multiple high-resolution cameras for Field-of-View expansion. The most vital step in the stitching process is the effective and efficient extraction of features, which becomes challenging for low-textural images. This paper presents a comparative study of five popular feature descriptor algorithms for image stitching viz. Scale Invariant Feature Transform (SIFT), Speeded Up Robust Feature (SURF), Oriented Fast and Rotated BRIEF (ORB), Binary Robust invariant scalable keypoints (BRISK), and Accelerated-KAZE (AKAZE). The focus of this paper is to present a study of the performance comparison among these feature extraction methods for low-textural images from real-time steel surface inspection systems. Primarily, synchronized images of steel rolled at room temperatures are obtained from a two-camera network with overlapping regions. Feature descriptor algorithms extract features from two images with an overlapping area and further match the features using K-Nearest Neighbour (KNN) algorithm. The performance of the five feature descriptor algorithms is evaluated using a low-textural dataset that consists of a set of 177 images captured from two cameras placed at a fixed distance from each other. The efficiency of these algorithms is quantitatively and qualitatively evaluated using execution time, sensitivity, and specificity. Finally, this paper provides guidelines for future research on problems with FOV expansion in industrial scenarios.

Next-gen traffic rule violation detection using optimum feature extraction techniques on highway and toll tax using Raspberry-pi hardware

Conference

Title of PaperDynamic Shadow Detection and Removal for Vehicle Tracking System

PublisherWorld Scientific

Volume Number22

Page Number2250050-1 to 2250050-17

Published YearJanuary 2022

ISSN/ISBN No0219-4678 / 1793-6756

Indexed INScopus, Web of Science

Abstract

Shadow leads to failure of moving target positioning, segmentation, tracking, and classification in the video surveillance system thus shadow detection and removal is essential for further computer vision process. The existing state-of-the-art methods for dynamic shadow detection have produced a high discrimination rate but a poor detection rate (foreground pixels are classified as shadow pixels). This paper proposes an effective method for dynamic shadow detection and removal based on intensity ratio along with frame difference, gamma correction, and morphology operations. The performance of the proposed method has been tested on two outdoor ATON datasets, namely, highway-I and highway-III for vehicle tracking systems. The proposed method has produced a discrimination rate of 89.07% and a detection rate of 80.79% for highway-I video sequences. Similarly, for a highway-III video sequence, the discrimination rate of 85.60% and detection rate of 84.05% have been obtained. Investigational outcomes show that the proposed method is the simple, steadiest, and robust for dynamic shadow detection on the dataset used in this work.

Analysis of Discrete Wavelet Transforms Variants for the Fusion of CT and MRI Images

Journal

Journal NameThe Open Biomedical Engineering Journal

Title of PaperAnalysis of Discrete Wavelet Transforms Variants for the Fusion of CT and MRI Images

PublisherBentham

Volume Number15(1)

Page Number204-212

Published YearJanuary 2021

ISSN/ISBN No1874-1207

Indexed INScopus

Metaheuristic enabled deep convolutional neural network for traffic flow prediction: Impact of improved lion algorithm

Journal

Journal NameJournal of Intelligent Transportation Systems

Title of PaperMetaheuristic enabled deep convolutional neural network for traffic flow prediction: Impact of improved lion algorithm

PublisherTaylor & Francis

Volume Number26(6)

Page Number730-745

Published YearJanuary 2021

ISSN/ISBN No1547-2450 / 1547-2442

ROBUST-OPTIMAL CONTROL DESIGN FOR CURRENT-CONTROLLED ELECTROMAGNETIC LEVITATION SYSTEM WITH UNMATCHED INPUT UNCERTAINTY

Journal

Journal NameINTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL

Title of PaperROBUST-OPTIMAL CONTROL DESIGN FOR CURRENT-CONTROLLED ELECTROMAGNETIC LEVITATION SYSTEM WITH UNMATCHED INPUT UNCERTAINTY

PublisherSpringer

Page Number1-11

Published YearMarch 2024

ISSN/ISBN No2195-2698

Indexed INScopus

Two-Degree of Freedom-Based Control Model for Active Suspension System to Mitigate the Nonlinear Disturbance

Journal

Journal NameJournal of Circuits, Systems, and Computers

Title of PaperTwo-Degree of Freedom-Based Control Model for Active Suspension System to Mitigate the Nonlinear Disturbance

PublisherWorld Scientific Publishing Company

Volume Number32

Page Number1-26

Published YearDecember 2023

ISSN/ISBN No1793-6454

Indexed INScopus, Web of Science

Abstract

Comfort is an important consideration in passenger vehicles provided by a suspension system. The suspension system must be associated with the vehicle body to improve comfort for the passenger. The active suspension system (ASS) has been introduced to perform this task. Moreover, the sliding mode controller (SMC) is well known for its continuous control signals. This paper proposes the Bayesian-based propor- tional resonant sliding mode controller (B-PRSMC) and two degrees of the freedom- proportional resonant controller (2d-f-PR) to stabilize passenger and ride comfort. The B-PRSMC is used for examining system states under varying road disturbances based on the Bayesian theorem. After examining the system state, the system performance is con- trolled by the 2d-f-PR controller. The proposed method is performed on Matlab, and the results are taken regarding body acceleration, body travel and suspension deflection. The mastery of proposed method is estimated under different road profiles. The comparative analysis demonstrates that the suggested controller enhances ride and passenger comfort in varied road profiles due to the combination of B-PRSMC and 2d-f-PR controllers.

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

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

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

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

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

Tokamak is a magnetic confinement device that confines hot plasma in the shape of torus during the process of thermonuclear fusion power generation. In tokamak, eddy currents are produced due to change in plasma positions during plasma instabilities that induce electromagnetic forces on interaction with the induced currents. Mirnov coils are widely used in tokamaks to study plasma positions during plasma instabilities. Principle objective of this paper is the design and development of Mirnov coil sensor to find eddy currents on a toroidal vessel. This paper presents an elaborative and practical construction technique of a Mirnov coil. The calibration method of a Mirnov coil is also discussed. Mirnov coils as an eddy current diagnostics are tested and experiments to measure magnetic fields due to induced current on torroidal vessel are performed using the coils.

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

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

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

Priority based railway platform allocation using programmable logic controller

Conference

Title of PaperPriority based railway platform allocation using programmable logic controller

Proceeding NameInternational conference on Multidisciplinary approach in Engineering, Technology and Management for Sustainable Development

Author NameNital Patel

OrganizationGujarat Counsil on Science and Technology, Department of Science and Technology, Government of Gujarat and Sankalchand Patel University

Year , VenueMay 2024 , Sankalchand Patel University, Visnagar

Indexed INOthers

Abstract

In India railway network plays an important role in land transportation. The automation on railway station reduces accidents, manpower and saving time. In this study an automatic platform allocation to trains is developed using Programmable logic controller. The priority is decided based on type of train and schedule of train. Schedule of train is considered as on-time and delayed. Types of train are considered as local, superfast and freight. The ladder logic and human machine interface is developed for priority-based platform allocation to trains. The simulation results are presented. The hardware implementation of this program can be done for real time system.

PLC based parcel sorting system

Conference

Title of PaperPLC based parcel sorting system

Proceeding NameInternational conference on Multidisciplinary approach in Engineering, Technology and Management for Sustainable Development

Author NameNital Patel

OrganizationGujarat Counsil on Science and Technology, Department of Science and Technology, Government of Gujarat and Sankalchand Patel University

Year , VenueMay 2024 , Sankalchand Patel University, Visnagar

Indexed INOthers

Abstract

Automatic sorting of parcels in courier firm is an essential task to reduce manpower. In the present study a PLC based parcel sorting system is developed. The idea is implemented in TwinCatTM software. This sorting system incorporates ladder diagram and visualization. The sorting is carried out based on weight and density, and charges for delivery are calculated according to this automatically. After the charges of the particular parcel is calculated, the destination of the parcel is decided based on the pin code of the city. In this study four cities (Ahmedabad, Surat, Rajkot and Jamnagar) of Gujrat, India is considered as destination. The system is developed in software, it can be implemented in hardware for real time application.

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

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

ISSN/ISBN No2169-3536

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

Abstract

Diabetes is a long-term condition in which a person’s body cannot break down blood sugar adequately due to a shortage of insulin. The most crucial element of health care is continuously monitoring blood glucose (BG) levels. The main concern of effective glucose monitoring equipment is based on the blood-pricking technique. However, this may not be suggested for frequent glucose measurement. The paper presents various glucose-measuring technologies. The research discusses various non-invasive glucose measurement techniques and their management using advanced medical technologies. The configuration of the precise measuring device is essential to meet the blood glucose monitoring requirements that are not invasive systems. Non-invasive glucose monitoring devices solve the issue of frequently pricking patients for blood samples for clinical tests. For the goal of continuous health monitoring, a Smart Healthcare framework would be built on the Internet-of-Medical-Things (IoMT) and a Healthcare Cyber-Physical System (H-CPS) to estimate blood glucose. The study also discusses a few consumer devices and cutting-edge methods for measuring glucose. The paper also outlines the several difficulties and open challenges with glucose prediction.

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

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

Published YearAugust 2024

ISSN/ISBN No2250-2106

Indexed INScopus, Indian citation Index, EBSCO

Abstract

Energy management and monitoring are becoming more important every day. This article proposes, through the development of a model, to perform energy management and monitoring of loads and devices at device level and enterprise level through the use of IoT and optimization through the use of cyber-physical systems, thus preventing energy and machine losses. At the macro level, it will play a major role as more and more machines and instruments are used in industry as industrialization and Industry 4.0 increase. This document provides an energy monitoring system architecture for building energy saving based on the requirement of intelligent energy monitoring. A data analysis system based on the Internet of Things has been proposed, incorporating information about energy consumption and enabling real-time monitoring and control. A web-based email reminder system has been proposed along with reactive power compensation.

Groundwater Parameter Effects on Crop Production

Conference

Title of PaperGroundwater Parameter Effects on Crop Production

Proceeding Name2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

PublisherIEEE

Author NameS A Mehta

OrganizationGalgotia

Year , VenueMay 2024 , Greater Noida

Page Number1931-1936

ISSN/ISBN No979-8-3503-6016-5/24

Indexed INScopus

A Python GUI based user Authentication using Typing Speed Test

Conference

Title of PaperA Python GUI based user Authentication using Typing Speed Test

Proceeding NameInternational Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

PublisherIEEE

Author NameS A Mehta

OrganizationGalgotia University

Year , VenueJanuary 2024 , Greater Noida

Page Number1937-1941

ISSN/ISBN No979-8-3503-6016-5/24

Indexed INScopus

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

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

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.