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upload/newsarch_ebooks_2025_10/2022/08/08/Biomedical Sensors Data Acquisition with LabVIEW Effective Way to Integrate Arduino with LabVIEW.epub
BIOMEDICAL SENSORS DATA ACQUISITION WITH LABVIEW : effective way to integrate arduino with labview... (english edition) Prakash, Anshuman & Gupta, Dr. Lovi Raj & Singh, Dr. Rajesh & Gehlot, Dr. Anita & Beri, Rydhm BPB Publications, BPB Online LLP, [N.p.], 2020
Explore and work with tools for Biomedical Data Acquisition and Signal Processing KEY FEATURES - Get familiar with the working of Biomedical Sensor - Learn how to program Arduino with LabVIEW with ease - Get familiar with the process of interfacing of analog sensors with Arduino Mega - Use LabVIEW to build an ECG Patient Monitoring System - Learn how to interface a simple GSM Module to Arduino DESCRIPTION Biomedical sensor data acquisition with LabVIEW provides a platform for engineering students to get acquainted with Arduino and LabVIEW programming. Arduino based projects would help to improve the standards of patient care and monitoring in hospitals and the standard of living in cities by implementing a variety of innovative ideas more directly. The goal of this book is to explore and illustrate the programming and interfacing of Arduino with biomedical sensors, communication modules, and LabVIEW GUI. The book begins with essential knowledge and gradually progresses towards the advanced level of comprehension. It starts with a Biomedical sensor-based project with a working model of LabVIEW GUI. It also gives a detailed overview of programming with Arduino IDE and LabVIEW. It covers Interface for Arduino (LIFA), which is a unique contribution that aids in the understanding of embedded systems. This book for high-level students who need application-based knowledge for developing some real-time patient monitoring systems using Arduino and LabVIEW. By the end of the book, you will understand, data acquisition for Biomedical sensors with LabVIEW GUI. WHAT WILL YOU LEARN - Learn about the interfacing of Biomedical Sensors - Understand how to create GUI with LabVIEW - Learn about digital and analog sensor interfacing with Arduino - Learn how to load the LabVIEW Interface for Arduino without Firmware - Learn how to Interface LabVIEW with Arduino Board using Firmware WHO THIS BOOK IS FOR This book is for Students/Professionals looking for a career in the growing field of Biomedical Sensors. This book is also for those who want to get familiar with the basics of E-Healthcare systems. TABLE OF CONTENTS 1. Introduction to Biomedical Signals 2. Introduction to Arduino Mega 3. Digital sensor interfacing with Arduino Mega 4. Display device interfacing with Arduino Mega 5. Analog sensor interfacing with Arduino Mega 6. Introduction to interfacing Arduino and LabVIEW without Firmware 7. GSR sensor module interfacing using Arduino 8. Blood Pressure Sensor Module 9. Respiratory (nasal airflow) sensor module 10. Temperature Sensor Module 11. Body Position Sensor Module 12. Introduction to interfacing Arduino and LabVIEWFirmware 13. ECG Sensor Module with Arduino 14. EMG Sensor Module with Arduino 15. Pulse Oximeter interface with Arduino
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English [en] · EPUB · 6.4MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/upload/zlib · Save
base score: 11068.0, final score: 167716.6
nexusstc/Biomedical Sensors Data Acquisition with LabVIEW: Effective Way to Integrate Arduino with LabVIEW/f9bc762818e91e557fbb0e42b4bba53c.epub
BIOMEDICAL SENSORS DATA ACQUISITION WITH LABVIEW : effective way to integrate arduino with labview... (english edition) Anshuman Prakash; Dr. Lovi Raj Gupta; Dr. Rajesh Singh; Dr. Anita Gehlot; Rydhm Beri BPB Publications, BPB Online LLP, [N.p.], 2020
<p>Explore and work with tools for Biomedical Data Acquisition and Signal Processing.Biomedical sensor data acquisition with LabVIEW provides a platform for engineering students to get acquainted with Arduino and LabVIEW programming. Arduino based projects would help to improve the standards of patient care and monitoring in hospitals and the standard of living in cities by implementing a variety of innovative ideas more directly. The goal of this book is to explore and illustrate the programming and interfacing of Arduino with biomedical sensors, communication modules, and LabVIEW GUI.The book begins with essential knowledge and gradually progresses towards the advanced level of comprehension. It starts with a Biomedical sensor-based project with a working model of LabVIEW GUI. It also gives a detailed overview of programming with Arduino IDE and LabVIEW. It covers Interface for Arduino (LIFA), which is a unique contribution that aids in the understanding of embedded systems. This book for high-level students who need application-based knowledge for developing some real-time patient monitoring systems using Arduino and LabVIEW.By the end of the book, you will understand, data acquisition for Biomedical sensors with LabVIEW GUI.Key FeaturesGet familiar with the working of Biomedical SensorLearn how to program Arduino with LabVIEW with easeGet familiar with the process of interfacing of analog sensors with Arduino MegaUse LabVIEW to build an ECG Patient Monitoring SystemLearn how to interface a simple GSM Module to ArduinoWhat Will You LearnLearn about the interfacing of Biomedical SensorsUnderstand how to create GUI with LabVIEWLearn about digital and analog sensor interfacing with ArduinoLearn how to load the LabVIEW Interface for Arduino without FirmwareLearn how to Interface LabVIEW with Arduino Board using FirmwareWho This Book is ForThis book is for Students/Professionals looking for a career in the growing field of Biomedical Sensors. This book is also for those who want to get familiar with the basics of E-Healthcare systems.About the AuthorsAnshuman Prakash has completed his M.Tech in Embedded systems specialization in wearable technology from University of Petroleum and Energy Studies, Dehradun, India. He has the teaching experience of almost 3 years and his interest lies in the field biomedical electronics, prototyping the new medical devices with the help of Arduino, LabView and MATLAB. He has published number of papers in various national and international conferences and journals. From past few years he is guiding several number of B. Tech final year projects in the field of embedded systems as a freelancer. He has organised a number of workshops, summer internships and expert lectures for students. Currently, he is pursuing his PhD from National Institute of technology Patna.Dr. Lovi Raj Gupta is the Executive Dean, Faculty of Technology & Sciences, Lovely Professional University. He is a leading light in the field of Technical and Higher education in the country. His research-focused approach and an insightful innovative intervention of technology in education has won him much accolades and laurels.He holds a Ph.D. in Bioinformatics. He did his M.Tech. in Computer Aided Design & Interactive Graphics from IIT, Kanpur and B.E. (Hons.) from MITS, Gwalior. Having flair for endless learning, has done more than twenty plus certifications and specializations online on Internet of Things (IoT), Augmented Reality, and Gamification, from University of California at Irvine, Yonsei University, South Korea, Wharton School, University of Pennsylvania, and Google Machine Learning Group. His research interests are in the areas of Robotics, Mechatronics, Bioinformatics, IoT, AI & ML using Tensor Flow (CMLE), and Gamification.https://www.linkedin.com/in/loviraj/Dr. Rajesh Singh is currently associated with Lovely Professional University as Professor with more than Sixteen years of experience in academics. He has been awarded as gold medalist in M.Tech from RGPV, Bhopal (M.P) India and honors in his B.E from Dr. B.R. Ambedkar University, Agra (U.P), India. His area of expertise includes embedded systems, robotics, wireless sensor networks and Internet of Things. He has been honored as keynote speakers and session chair to international/national conferences, faculty development programs and workshops. He has hundred and fifty two patents in his account. He has published more than hundred research papers in referred journals/conferences and twenty four books in the area of Embedded Systems and Internet of Things with reputed publishers like CRC/Taylor & Francis, Narosa, GBS, IRP, NIPA, River Publishers, Bentham Science and RI publication. He is editor to a special issue published by AISC book series, Springer in 2017 & 2018 and IGI global in 2019. Under his mentorship students have participated in national/international competitions including "Innovative Design Challenge competition" by Texas and DST and Laureate award of excellence in robotics engineering, Madrid, Spain in 2014 & 2015. His team has been the winner of "Smart India Hackathon-2019" hardware version conducted by MHRD, Government of India for the problem statement of Mahindra & Mahindra. Under his mentorship students team got "InSc award 2019" under students projects program. He has been awarded with "Gandhian Young Technological Innovation (GYTI) Award", as Mentor to "On Board Diagnostic Data Analysis System-OBDAS", Appreciated under "Cutting Edge Innovation" during Festival of Innovation and Entrepreneurship at RashtrapatiBahawan, India in 2018. He has been honored with "Certificate of Excellence" from 3rd faculty branding awards-15, Organized by EET CRS research wing for excellence in professional education and Industry, for the category "Award for Excellence in Research", 2015 and young investigator award at the International Conference on Science and Information in 2012.ORCID ID: https://orcid.org/0000-0002-3164-8905Scopus ID- 55613230383Blog: r-singh-phd.blogspot.inhttps://www.mendeley.com/profiles/rajesh-singh40/https://www.linkedin.com/in/dr-rajesh-singh-6380845a/detail/recent-activity/shares/Dr. Anita Gehlot is currently associated with Lovely Professional University as Associate Professor with more than twelve years of experience in academics. Her area of expertise includes embedded systems, wireless sensor networks and Internet of Things. She has been honoured as keynote speakers and session chair to international/national conferences, faculty development programs and workshops. She has hundred and thirty two patents in her account. She has published more than seventy research papers in referred journals/conferences and twenty four books in the area of Embedded Systems and Internet of Things with reputed publishers like CRC/Taylor & Francis, Narosa, GBS, IRP, NIPA, River Publishers, Bentham Science and RI publication. She is editor to a special issue published by AISC book series, Springer in 2018 and IGI global in 2019. She has been awarded with "certificate of appreciation" from University of Petroleum and Energy Studies for exemplary work. Under her mentorship students team got "InSc award 2019" under students projects program. She has been awarded with "Gandhian Young Technological Innovation (GYTI) Award", as Mentor to "On Board Diagnostic Data Analysis System-OBDAS", Appreciated under "Cutting Edge Innovation" during Festival of Innovation and Entrepreneurship at RashtrapatiBahawan, India in 2018.https://www.linkedin.com/in/dr-anita-gehlot-37055985/ORCID ID:0000-0001-6463-9581https://orcid.org/0000-0001-6463-9581Scopus ID- 56613481200https://www.scopus.com/authid/detail.uri?authorId=56613481200Rydhm Beri is working as an Assistant Professor in BBK DAV College for Women, Amritsar, since last three years and has 5 years of experience in the field of education. Her research interests include MANETs, Cloud computing, IOT, Fog Computing. She has published 21 research papers out of which 19 are international and 2 are national research papers. She has written 4 books till now. She has also been working as a reviewer in conferences and journals like IEEE, Springer, ASTEJ. In her leisure time, she likes to attend workshops and conferences and likes to program applications.Your Blog links: www.rydhmberi.weebly.comYour LinkedIn Profile: https://www.linkedin.com/in/rydhm-beri-47a721101<br></p>
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English [en] · EPUB · 6.4MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 167611.0
upload/newsarch_ebooks_2025_10/2023/10/04/Biomedical Sensors Data Acquisition with LabVIEW Effective Way to Integrate Arduino with LabView» by Anita Gehlot, Anshuman Prakash, Lovi Raj Gupta, Rajesh Singh, Rydhm Beri.epub
Biomedical Sensors Data Acquisition with LabVIEW: Effective Way to Integrate Arduino with LabView Anshuman Prakash,Dr. Lovi Raj Gupta,Dr. Rajesh Singh,Dr. Anita Gehlot,Rydhm Beri
Biomedical sensor data acquisition with LabVIEW provides a platform for engineering students to get acquainted with Arduino and LabVIEW programming. Arduino based projects would help to improve the standards of patient care and monitoring in hospitals and the standard of living in cities by implementing a variety of innovative ideas more directly. The goal of this book is to explore and illustrate the programming and interfacing of Arduino with biomedical sensors, communication modules, and LabVIEW GUI. The book begins with essential knowledge and gradually progresses towards the advanced level of comprehension. It starts with a Biomedical sensor-based project with a working model of LabVIEW GUI. It also gives a detailed overview of programming with Arduino IDE and LabVIEW. It covers Interface for Arduino (LIFA), which is a unique contribution that aids in the understanding of embedded systems. This book for high-level students who need application-based knowledge for developing some real-time patient monitoring systems using Arduino and LabVIEW.
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EPUB · 2.8MB · 📗 Book (unknown) · 🚀/upload · Save
base score: 10954.0, final score: 17637.72
44 partial matches
nexusstc/Think AI/5e41cf829db419995722940a34a7f884.rar
Think AI Naik, Swapnali Joshi;; Dr. Lovi Raj Gupta; Dr. Rajesh Singh; Dr. Anita Gehlot; Rydhm Beri BPB Publications, 2022
English [en] · RAR · 11.1MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc · Save
base score: 11047.0, final score: 149.72496
nexusstc/Think AI/b61bb547f4abee751d35684b0260bf44.epub
Think AI Naik, Swapnali Joshi;; Dr. Lovi Raj Gupta; Dr. Rajesh Singh; Dr. Anita Gehlot; Rydhm Beri BPB Publications, 2022
English [en] · EPUB · 9.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11062.0, final score: 144.67268
9389328527 Dr. Rajesh Singh & Dr. Anita Gehlot & Dr. Lovi Raj Gupta & Navjot Rathour & Mahendra Swain & Bhupendra Singh 101
Russian [ru] · MOBI · 4.8MB · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11045.0, final score: 128.69095
upload/newsarch_ebooks/2022/06/29/extracted__Full_Stack_Development_with_MongoDB.zip/Full Stack Development with MongoDB/Full Stack Development with MongoDB.epub
Full Stack Development with MongoDB: Covers Backend, Frontend, APIs, and Mobile App Development using PHP, NodeJS, ExpressJS, Python and React Native (English Edition) Manu Sharma BPB Publications, Apr 21, 2022
Full-Stack Development with MongoDB and Scaling Your Expertise to Web and Mobile App Development is the goal of this book.Starting with the basics, the book will assist any programmer and developer and those who deal with NodeJS, PHP, Python and React Native in setting up their working environment with MongoDB. Various full-stack configurations of libraries and frameworks for mobile and web applications are covered in length in this book. REST API, CRUD operations are also explained in a detailed manner. The skills you learn to use PHP, ExpressJS, NodeJS, Python and React Native become increasingly solid as time goes on.Everything in this book has been explained so that, once you begin working on the practical development while reading it, you will be more experienced in software development, both in web and mobile technologies, when you finish reading it.
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English [en] · EPUB · 10.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/upload/zlib · Save
base score: 11068.0, final score: 122.00969
upload/newsarch_ebooks/2022/08/24/9389328527.epub
IoT Based Projects: Realization with Raspberry Pi, NodeMCU and Arduino Dr. Rajesh Singh & Dr. Anita Gehlot & Dr. Lovi Raj Gupta & Navjot Rathour & Mahendra Swain & Bhupendra Singh BPB Publications, 2020
English [en] · EPUB · 5.3MB · 2020 · 📗 Book (unknown) · 🚀/upload/zlib · Save
base score: 11062.0, final score: 119.24692
upload/newsarch_ebooks_2025_10/2020/08/20/Getting Started for IoT.pdf
Getting Started for Internet of Things with Launch Pad and ESP8266 Singh, Rajesh;Gehlot, Anita;Lovi Raj Gupta;Singh, Bhupendra;Priyanka Tyagi;
Front Cover 1 Half Title Page 2 RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY 3 Tittle Page - Getting Started for Internet of Things with Launch Pad and ESP8266 4 Copyright 5 Contents 6 Preface 14 List of Figures 16 List of Tables 22 List of Abbreviations 24 Section A - Introduction 26 Chapter 1 - Introduction to Ti Launch Pad 28 1.1 MSP430 28 1.2 Meet Energia - Integrated Development Environment 29 1.2.1 Steps to Write Program with Energia IDE 29 Chapter 2 - Introduction to IoT Platforms 34 2.1 GPRS 34 2.2 NodeMCU 36 2.3 NuttyFi 37 2.4 Get Started with NodeMCU/NuttyFi 39 2.5 Steps to Write Program with Arduino IDE 39 Chapter 3 - Play with LED 46 3.1 Introduction 46 3.2 Circuit Diagram 47 3.3 Program Code 48 Chapter 4 - Play with LCD 50 4.1 Introduction 50 4.2 Circuit Diagram 51 4.3 Program Code 52 Chapter 5 - Play with Seven-segment Display 54 5.1 Introduction 54 5.2 Circuit Diagram 55 5.3 Program Code 56 Chapter 6 - Play with Analog Sensor 58 6.1 POT 58 6.1.1 Circuit Diagram 59 6.1.2 Program Code 60 6.2 LM35 60 6.2.1 Circuit Diagram 61 6.2.2 Program Code 62 6.3 LDR 62 6.3.1 Circuit Diagram 63 6.3.2 Program Code 64 6.4 Flex Sensor 65 6.4.1 Circuit Diagram 66 6.4.2 Program Code 66 6.5 Gas Sensor 67 6.5.1 Circuit Diagram 68 6.5.2 Program Code 69 Chapter 7 - Play with Digital Sensors 70 7.1 Switch 70 7.1.1 Circuit Diagram 71 7.1.2 Program Code 72 7.2 PIR Motion Sensor 74 7.2.1 Circuit Diagram 75 7.2.2 Program Code 75 7.3 Fire Sensor 77 7.3.1 Circuit Diagram 77 7.3.2 Program Code 78 7.4 Touch Sensor 80 7.4.1 Circuit Diagram 80 7.4.2 Program Code 81 7.5 Rain Sensor 82 7.5.1 Circuit Diagram 83 7.5.2 Program Code 84 7.6 Vibration Sensor 85 7.6.1 Circuit Diagram 86 7.6.2 Program Code 87 Chapter 8 - Interfacing of Multiple Device with Ti Launch Pad 90 8.1 Interfacing of Digital Sensor, Display, and Indicator 90 8.1.1 Circuit Diagram 91 8.1.2 Program Code 92 8.2 Interfacing of Analog Sensor, Display, and Indicator 93 8.2.1 Circuit Diagram 94 8.2.2 Program Code 95 Chapter 9 - Interfacing of Multiple Device with NodeMCU 98 9.1 Interfacing of Digital Sensor, LCD, and Indicator 98 9.1.1 Circuit Diagram 99 9.1.2 Program Code 100 9.2 Interfacing of Analog Sensor, LCD, and Indicator 101 9.2.1 Circuit Diagram 102 9.2.2 Program Code 103 Chapter 10 - Actuators 106 10.1 Interfacing of DC Motor and LCD with Ti Launch Pad 106 10.1.1 Circuit Diagram 107 10.1.2 Program Code 108 10.2 Interfacing of DC Motor and LCD with NodeMCU 109 10.2.1 Circuit Diagram 110 10.2.2 Program Code 112 10.3 Interfacing of Relay with Ti Launch Pad 113 10.3.1 Circuit Diagram 114 10.3.2 Program Code 115 10.4 Interfacing of Relay with NodeMCU 116 10.4.1 Circuit Diagram 117 10.4.2 Program Code 118 Section B - Communication Protocol 120 Chapter 11 - Serial Communication between Ti Launch Pad and NodeMCU 122 11.1 Introduction 122 11.2 Circuit Diagram 123 11.3 Program Code 125 Chapter 12 - Interfacing of Devices in Different Modes 128 12.1 Ultrasonic Sensor 128 12.1.1 Ultrasonic Sensor - PWM Out 128 12.1.1.1 Circuit diagram 129 12.1.1.2 Program code 130 12.1.2 Ultrasonic Sensor - Serial Out 131 12.1.2.1 Circuit diagram 132 12.1.2.2 Program code 133 12.2 Temperature and Humidity Sensor - Serial Out 135 12.2.1 Circuit Diagram 136 12.2.2 Program Code 137 12.3 DHT11 139 12.3.1 Circuit Diagram 139 12.3.2 Program Code 141 12.4 DS1820 142 12.4.1 Circuit Diagram 143 12.4.2 Program Code 144 12.5 pH Sensor 144 12.5.1 Circuit Diagram 145 12.5.2 Program Code 146 12.6 Flow Sensor 147 12.6.1 Circuit Diagram 149 12.6.2 Program Code 150 12.7 DS1307 150 12.7.1 Circuit Diagram 152 12.7.2 Program Code 153 12.8 EEPROM 154 12.8.1 Circuit Diagram 155 12.8.2 Program Code 156 12.9 SD Card 157 12.9.1 Circuit Diagram 158 12.9.2 Program Code 159 Chapter 13 - Interfacing of 433 MHz RF Transmitter and Receiver 162 13.1 Introduction 162 13.2 Circuit Diagram 164 13.2.1 Transmitter Section 164 13.2.2 Receiver Section 165 13.3 Program Code 166 Chapter 14 - Interfacing of XBee Modem and Analog Sensor 168 14.1 Introduction 168 14.2 Steps to Configure XBee 169 14.3 System Description 175 14.4 Circuit Diagram 177 14.4.1 Transmitter Section 177 14.4.2 Receiver Section 178 14.5 Program Code 179 Chapter 15 - Interfacing of XBee and Multiple Sensors 182 15.1 Introduction 182 15.2 Circuit Diagram 184 15.2.1 Transmitter Section 184 15.2.2 Receiver Section 184 15.3 Program Code 186 Chapter 16 - Interfacing of Bluetooth Modem 190 16.1 Introduction 190 16.2 Steps to Operate Bluetooth Modem in Command Mode 190 16.3 System Description 191 16.4 Circuit Diagram 192 16.5 Program Code 193 16.6 Bluetooth Terminal Application 194 Section C - IoT Data Logger 196 Chapter 17 - Recipe for Data Logger with Blynk App 198 17.1 Introduction 198 17.2 Circuit Diagram 199 17.3 Blynk Server 201 17.4 Program Code 202 Chapter 18 - Recipe for Data Logger with Cayenne App 208 18.1 Introduction 208 18.2 Circuit Diagram 209 18.3 Cayenne App 211 18.4 Program Code 212 Chapter 19 - Recipe for Data Logger with ThingSpeak Server 218 19.1 Introduction 218 19.2 Circuit Diagram 219 19.3 ThingSpeak Server 220 19.4 Program Code 222 Chapter 20 - Recipe for Data Logger with Virtuino App 224 20.1 Introduction 224 20.2 Circuit Diagram 225 20.3 Virtuino App 227 20.4 Program Code 227 Chapter 21 - Recipe for Data Logger with Firebase Server 232 21.1 Introduction 232 21.2 Circuit Diagram 233 21.3 Firebase Server 234 21.4 Program Code 235 Chapter 22 - Recipe of Data Acquisition using Local WebServer 240 22.1 Introduction 240 22.2 Circuit Diagram 241 22.3 Program Code 242 22.4 Local Web Server 246 Section D - Case Studies 248 Chapter 23 - Case Study on Internet of Thing-based Water Management 250 23.1 Water Management System and Data Acquisition 251 23.2 Circuit Diagram 252 23.3 Program Code 253 23.4 IoT Server 258 Chapter 24 - Case Study on Internet of Things-based Fire and Safety System 260 24.1 Forest Fire Monitoring 260 24.1.1 Circuit Diagram 263 24.1.1.1 Circuit diagram for black zone 263 24.1.1.2 Circuit diagram for local server with NodeMCU 264 24.1.1.3 Circuit Diagram for Local Server with GPRS 265 24.1.2 Program Code 266 24.1.3 ThingSpeak Server 278 24.2 Fire Detector and Emergency Hooter System in Building 279 24.2.1 Circuit Diagram 280 24.2.2 Program Code 282 24.2.3 Blynk App 284 Chapter 25 - Case Study on Internet of Thing-based Agriculture Field Monitoring 286 25.1 Green House Monitoring System 286 25.1.1 Circuit Diagram 289 25.1.1.1 Circuit diagram for the sensor node 289 25.1.1.2 Circuit diagram for local server 290 25.1.2 Program Code 291 25.1.3 Main Server 299 25.2 Water Tank Monitoring and Control in Agriculture Field 299 25.2.1 Circuit Diagram 301 25.2.2 Program Code 302 25.2.3 Blynk App 307 Chapter 26 - Case Study on Internet of Things in Smart Home 310 26.1 Electrical Appliances Control System 310 26.1.1 Circuit Diagram 311 26.1.2 Program Code 312 26.1.3 Blynk App 318 26.2 Electrical Appliances Dimming Control System 318 26.2.1 Circuit Diagram 319 26.2.2 Program Code 320 26.2.3 Blynk App 325 Chapter 27 - Case Study on Internet of Thing in Healthcare 328 27.1 Heart Rate Monitoring System 328 27.1.1 Circuit Diagram 329 27.1.2 Program Code 330 27.1.3 Blynk App 332 27.2 ECG Monitoring System 333 27.2.1 Circuit Diagram 334 27.2.2 Program Code 335 27.2.3 Blynk App 337 27.3 Blood Pressure Monitoring System 337 27.3.1 Circuit Diagram 338 27.3.2 Program Code 339 27.3.3 Blynk App 341 Bibliography 342 Index 344 About the Authors 346 Back Cover 350
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base score: 10954.0, final score: 116.33544
nexusstc/Think AI/4530c25824224b3d0cd876f0a00d76f6.epub
Think AI: Explore the flavours of Machine Learning, Neural Networks, Computer Vision and NLP with powerful python libraries (English Edition) Naik, Swapnali Joshi;; Dr. Lovi Raj Gupta; Dr. Rajesh Singh; Dr. Anita Gehlot; Rydhm Beri BPB Publications, BPB Online LLP, [N.p.], 2022
"Think AI" is a rapid-learning book that covers a wide range of Artificial Intelligence topics, including Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Most popular Python libraries and toolkits are applied to develop intelligent and thoughtful applications. With a solid grasp of python programming and mathematics, you may use this book's statistical models and AI algorithms to meet AI needs and data insight issues. Each chapter in this book guides you swiftly through the core concepts and then directly to their implementation using Python toolkits. This book covers the techniques and skill sets required for data collection, pre-processing, installing libraries, preparing data models, training and deploying the models, and optimising model performance. The book guides you through the OpenCV toolkit for real-time picture recognition and detection, allowing you to work with computer vision. The book describes how to analyse linguistic data and conduct text mining using the NLTK toolbox and provides a brief overview of NLP ideas. Throughout the book, you will utilise major Python libraries and toolkits such as pandas, TensorFlow, scikit-learn, and matplotlib.
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English [en] · EPUB · 9.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 112.70422
Internet of Things with Raspberry Pi and Arduino Rajesh Singh; Anita Gehlot; Lovi Raj Gupta; Bhupendra Singh; Mahendra Swain CRC Press, Taylor & Francis Group, 1, 2019
"This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems. It broadly covers introduction to Internet of Things and enabling technologies, interfacing with Raspberry Pi and Arduino and interfacing with Raspberry Pi GPIO. Internet of Things with Raspberry pi and Arduino is aimed at senior undergraduate, graduate students and professionals in electrical engineering, computer engineering including robotics"-- Provided by publisher
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English [en] · EPUB · 17.1MB · 2019 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11068.0, final score: 103.28233
nexusstc/Full Stack Development with MongoDB/5258b8276d5d69f80241c59ddbf2c22a.epub
Full Stack Development with MongoDB: Covers Backend, Frontend, APIs, and Mobile App Development using PHP, NodeJS, ExpressJS, Python and React Native (English Edition) SHARMA, Manu;; Dr. Lovi Raj Gupta; Dr. Rajesh Singh; Dr. Anita Gehlot; Rydhm Beri BPB Publications, Apr 21, 2022
<p>Learn how to build and program real autonomous robots<br> Key Features<br></p><ul> <li>Simplified coverage on fundamentals of building a robot platform. </li> <li>Learn to program Raspberry Pi for interacting with hardware. </li> <li>Cutting-edge coverage on autonomous motion, mapping, and path planning algorithms for advanced robotics. Description<br> Practical Robotics in C++ teaches the complete spectrum of Robotics, right from the setting up a computer for a robot controller to putting power to the wheel motors. The book brings you the workshop knowledge of the electronics, hardware, and software for building a mobile robot platform. You will learn how to use sensors to detect obstacles, how to train your robot to build itself a map and plan an obstacle-avoiding path, and how to structure your code for modularity and interchangeability with other robot projects. Throughout the book, you can experience the demonstrations of complete coding of robotics with the use of simple and clear C++ programming.In addition, you will explore how to leverage the Raspberry Pi GPIO hardware interface pins and existing libraries to make an incredibly capable machine on the most affordable computer platform ever. What You Will Learn<br> </li> <li>Write code for the motor drive controller. </li> <li>Build a Map from Lidar Data. </li> <li>Write and implement your own autonomous path-planning algorithm. </li> <li>Write code to send path waypoints to the motor drive controller autonomously. </li> <li>Get to know more about robot mapping and navigation. Who this book is for This book is most suitable for C++ programmers who have keen interest in robotics and hardware programming. All you need is just a good understanding of C++ programming to get the most out of this book. Table of Contents<br> 1. Choose and Set Up a Robot Computer<br> 2. GPIO Hardware Interface Pins Overview and Use<br> 3. The Robot Platform<br> 4. Types of Robot Motors and Motor Control<br> 5. Communication with Sensors and other Devices<br> 6. Additional Helpful Hardware<br> 7. Adding the Computer to Control your Robot<br> 8. Robot Control Strategy<br> 9. Coordinating the Parts<br> 10. Maps for Robot Navigation<br> 11. Robot Tracking and Localization<br> 12. Autonomous Motion<br> 13. Autonomous Path Planning<br> 14. Wheel Encoders for Odometry<br> 15. Ultrasonic Range Detectors<br> 16. IMUs: Accelerometers, Gyroscopes, and Magnetometers<br> 17. GPS and External Beacon Systems<br> 18. LIDAR Devices and Data<br> 19. Real Vision with Cameras<br> 20. Sensor Fusion<br> 21. Building and Programming an Autonomous Robot About the Author<br> Lloyd Brombach is a controls engineer, programmer, and long-time electronics and robotics enthusiast. He has competed at robotics events such as the NASA-funded 2007 Lunar Regolith Excavation Challenge and recently the 27th Intelligent Ground Vehicle Challenge. He is committed to making contributions to the robotics field that future roboticists and robot-owners will benefit from for years to come. Facebook Profile: www.facebook.com/practicalrobotics<br> Youtube: www.youtube.com/practicalrobotics<br> LinkedIn Profile: https://www.linkedin.com/in/lbrombach<br> </li></ul>
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base score: 11065.0, final score: 95.05316
upload/newsarch_ebooks/2022/03/23/Digital Forensics and Internet of Things Impact and Challenges/Digital Forensics and Internet - Gehlot, Anita;Singh, Rajesh;Sin.epub
Digital Forensics and Internet of Things: Impact and Challenges Gehlot, Anita;Singh, Rajesh;Singh, Jaskaran;Sharma, Neeta Raj; & Rajesh Singh & Jaskaran Singh & Neeta Raj Sharma John Wiley & Sons, Incorporated, 2022
English [en] · EPUB · 7.0MB · 2022 · 📗 Book (unknown) · 🚀/upload/zlib · Save
base score: 11062.0, final score: 86.420135
upload/newsarch_ebooks/2021/09/23/IoT based Projects by Dr. Rajesh Singh.pdf
IoT based Projects: Realization with Raspberry Pi, NodeMCU and Arduino (English Edition) Unknown BPB Publications, BPB Online LLP, [N.p.], 2020
Create your own IoT projects Key Features ● Comprehensive coverage of various aspects of IoT concepts ● Covers various Arduino boards and shields ● Simple language, crystal clear approach and straight forward comprehensible presentation ● Adopting user-friendly style for the explanation of circuits and examples ● Includes basics of Raspberry Pi and related projects Description The book has been written in such a way that the concepts are explained in detail. It is entirely based on the practical experience of the authors while undergoing projects with students and industries, giving adequate emphasis on circuits and code examples. To make the topics more comprehensive, circuit diagrams, photographs and code samples are furnished extensively throughout the book. The book is conceptualized and written in such a way that the beginner readers will find it very easy to understand and implement the circuits and programs. The objective of this book is to discuss the various projects based on the Internet of Things (IoT). What will you learn ● Internet of Things, IoT-Based Smart Camera, IoT-Based Dust Sampler ● Learn to create ESP8266-Based Wireless Web Server and Air Pollution Meter Using Raspberry Pi, Smart Garage Door, Baggage Tracker, Smart Trash Collector, Car parking system, Home Automation ● Windows 10 on Raspberry and know to create Wireless Video Surveillance Robot Using Raspberry Pi Who this book is for Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical. Table of Contents 1. ESP8266-Based Wireless Web Server 2. Air Pollution Meter Using Raspberry Pi 3. Smart Garage Door 4. Baggage Tracker 5. Smart Trash Collector 6. Car parking system 7. Home Automation 8. Environmental Parameter Monitoring 9. Intelligent System for the Blind 10. Sign to Speech Using the IoTs 11. Windows 10 on Raspberry 12. Wireless Video Surveillance Robot Using Raspberry Pi 13. IoT-Based Smart Camera 14. IoT-Based Dust Sampler and Air Quality Monitoring System About the Author Dr. Rajesh Singh is currently associated with Lovely Professional University as a professor with more than sixteen years of experience in academics. He has been awarded as the gold medalist in M.Tech from RGPV, Bhopal (MP), India, and honours in his B.E. from Dr. B.R. Ambedkar University, Agra (UP), India. Dr. Anita Gehlot is currently associated with Lovely Professional University, Punjab, as an associate professor with more than twelve years of experience in academics. Her area of expertise includes embedded systems, wireless sensor networks and the Internet of Things. She has organized and conducted several workshops, summer internships, and expert lectures for students as well as faculty. Dr. Lovi Raj Gupta is the Executive Dean, Faculty of Technology & Sciences, Lovely Professional University. He is a leading light in the field of technical and higher education in the country. His research-focused approach and an insightful, innovative intervention of technology in education have won him much accolades and laurels. Ms. Navjot Rathour is associated with Lovely Professional University as an assistant professor with more than eight years of experience in academics. She is pursuing her PhD Electronics and communication engineering from Lovely Professional University. She has one patent to her account. She has published seven research papers in refereed journals and conference. Mahendra Swain is a PhD Scholar at Lovely Professional University, Jalandhar, Punjab. He has completed his B.Tech in ECE from Centurion University of Technology and Management, Bhubaneswar. He has completed his M.Tech from Lovely professional University.
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base score: 11068.0, final score: 82.72925
upload/newsarch_ebooks/2019/12/12/0367248212.pdf
Internet Of things With Raspberry Pi And Arduino Rajesh Singh (Author); Anita Gehlot (Author); Lovi Raj Gupta (Author); Bhupendra Singh (Author); Mahendra Swain (Author) CRC Press, Taylor & Francis Group, First edition, New York, N.Y, 2019
"This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems. It broadly covers introduction to Internet of Things and enabling technologies, interfacing with Raspberry Pi and Arduino and interfacing with Raspberry Pi GPIO. Internet of Things with Raspberry pi and Arduino is aimed at senior undergraduate, graduate students and professionals in electrical engineering, computer engineering including robotics"-- Provided by publisher
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English [en] · PDF · 20.7MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save
base score: 11065.0, final score: 79.19836
lgli/R:\062020\TF\Internet of things with Raspberry Pi and Arduino - 9780429284564.pdf
Internet of Things with Raspberry Pi and Arduino Rajesh Singh (Author); Anita Gehlot (Author); Lovi Raj Gupta (Author); Bhupendra Singh (Author); Mahendra Swain (Author) CRC Press, Taylor & Francis Group, 1, 2019 nov 18
"This book provides a platform to understand Internet of things with Raspberry Pi and the basic knowledge of the programming and interfacing of the devices and designed systems. It broadly covers introduction to Internet of Things and enabling technologies, interfacing with Raspberry Pi and Arduino and interfacing with Raspberry Pi GPIO. Internet of Things with Raspberry pi and Arduino is aimed at senior undergraduate, graduate students and professionals in electrical engineering, computer engineering including robotics"-- Provided by publisher
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English [en] · PDF · 19.8MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 78.861496
IoT based Projects: Realization with Raspberry Pi, NodeMCU and Arduino (English Edition) Unknown BPB Publications, BPB Online LLP, [N.p.], 2020
Create your own IoT projects Key Features ● Comprehensive coverage of various aspects of IoT concepts ● Covers various Arduino boards and shields ● Simple language, crystal clear approach and straight forward comprehensible presentation ● Adopting user-friendly style for the explanation of circuits and examples ● Includes basics of Raspberry Pi and related projects Description The book has been written in such a way that the concepts are explained in detail. It is entirely based on the practical experience of the authors while undergoing projects with students and industries, giving adequate emphasis on circuits and code examples. To make the topics more comprehensive, circuit diagrams, photographs and code samples are furnished extensively throughout the book. The book is conceptualized and written in such a way that the beginner readers will find it very easy to understand and implement the circuits and programs. The objective of this book is to discuss the various projects based on the Internet of Things (IoT). What will you learn ● Internet of Things, IoT-Based Smart Camera, IoT-Based Dust Sampler ● Learn to create ESP8266-Based Wireless Web Server and Air Pollution Meter Using Raspberry Pi, Smart Garage Door, Baggage Tracker, Smart Trash Collector, Car parking system, Home Automation ● Windows 10 on Raspberry and know to create Wireless Video Surveillance Robot Using Raspberry Pi Who this book is for Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical. Table of Contents 1. ESP8266-Based Wireless Web Server 2. Air Pollution Meter Using Raspberry Pi 3. Smart Garage Door 4. Baggage Tracker 5. Smart Trash Collector 6. Car parking system 7. Home Automation 8. Environmental Parameter Monitoring 9. Intelligent System for the Blind 10. Sign to Speech Using the IoTs 11. Windows 10 on Raspberry 12. Wireless Video Surveillance Robot Using Raspberry Pi 13. IoT-Based Smart Camera 14. IoT-Based Dust Sampler and Air Quality Monitoring System About the Author Dr. Rajesh Singh is currently associated with Lovely Professional University as a professor with more than sixteen years of experience in academics. He has been awarded as the gold medalist in M.Tech from RGPV, Bhopal (MP), India, and honours in his B.E. from Dr. B.R. Ambedkar University, Agra (UP), India. Dr. Anita Gehlot is currently associated with Lovely Professional University, Punjab, as an associate professor with more than twelve years of experience in academics. Her area of expertise includes embedded systems, wireless sensor networks and the Internet of Things. She has organized and conducted several workshops, summer internships, and expert lectures for students as well as faculty. Dr. Lovi Raj Gupta is the Executive Dean, Faculty of Technology & Sciences, Lovely Professional University. He is a leading light in the field of technical and higher education in the country. His research-focused approach and an insightful, innovative intervention of technology in education have won him much accolades and laurels. Ms. Navjot Rathour is associated with Lovely Professional University as an assistant professor with more than eight years of experience in academics. She is pursuing her PhD Electronics and communication engineering from Lovely Professional University. She has one patent to her account. She has published seven research papers in refereed journals and conference. Mahendra Swain is a PhD Scholar at Lovely Professional University, Jalandhar, Punjab. He has completed his B.Tech in ECE from Centurion University of Technology and Management, Bhubaneswar. He has completed his M.Tech from Lovely professional University.
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English [en] · EPUB · 3.2MB · 2020 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11068.0, final score: 78.19836
nexusstc/Internet of Things with 8051 and ESP8266/a4e4ea7d8171355b0eb37a7fc997785c.pdf
Internet of Things with 8051 and ESP8266 Anita Gehlot, Rajesh Singh, Praveen Kumar Malik, Lovi Raj Gupta, Bhupendra Singh CRC Press, Taylor & Francis Group, CRC Press (Unlimited), Boca Raton, 2020
Internet of Things with 8051 and ESP8266 provides a platform to get started with the Internet of Things (IoT) with 8051. This book describes programming basics and how devices interface within designed systems. It presents a unique combination of 8051 with ESP8266 and I/O devices for IoT applications supported by case studies to provide the solutions to real-time problems. The programs and circuits have been tested on real hardware and explore different areas in IoT applications. Divided into four sections, it explains the customized boards for IoT applications followed by the means by which 8051 and ESP8266 interface with I/O devices. It spans levels from basic to advanced interfacing with special devices, server design, and data logging with different platforms.Features: Covers how I/O devices interface with 8051 and ESP8266 Explains the basic concepts of interfacing complexity using applications with examples Provides hands-on practice exercises with 8051 and ESP8266 for IoT applications Discusses both case studies and programming tests on real hardware during industrial and student projects Reviews the integration of smart devices with IoT Internet of Things with 8051 and ESP8266 is intended for senior undergraduate and graduate students in electrical and electronics engineering, but anyone with an interest in the professional curriculum of electrical and electronics engineering will find this book a welcome addition to their collection.
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English [en] · PDF · 15.3MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 76.160934
nexusstc/IoT Based Projects: Realization with Raspberry Pi, NodeMCU and Arduino/56f9e2dbe25bcdb3ff52426321f14696.epub
IoT based Projects: Realization with Raspberry Pi, NodeMCU and Arduino (English Edition) Dr. Rajesh Singh, Dr. Anita Gehlot, Dr. Lovi Raj Gupta, Ms. Navjot Rathour, Mahendra Swain, Bhupendra Singh BPB Publications, BPB Online LLP, [N.p.], 2020
Create your own IoT projects DESCRIPTIONThe book has been written in such a way that the concepts are explained in detail. It is entirely based on the practical experience of the authors while undergoing projects with students and industries, giving adequate emphasis on circuits and code examples. To make the topics more comprehensive, circuit diagrams, photographs and code samples are furnished extensively throughout the book. The book is conceptualized and written in such a way that the beginner readers will find it very easy to understand and implement the circuits and programs. The objective of this book is to discuss the various projects based on the Internet of Things (IoT). KEY FEATURES Comprehensive coverage of various aspects of IoT concepts Covers various Arduino boards and shields Simple language, crystal clear approach and straight forward comprehensible presentation Adopting user-friendly style for the explanation of circuits and examples Includes basics of Raspberry Pi and related projects WHAT WILL YOU LEARNInternet of Things, IoT-Based Smart Camera, IoT-Based Dust Sampler Learn to create ESP8266-Based Wireless Web Server and Air Pollution Meter Using Raspberry Pi, Smart Garage Door, Baggage Tracker, Smart Trash Collector, Car parking system, Home Automation Windows 10 on Raspberry and know to create Wireless Video Surveillance Robot Using Raspberry Pi WHO THIS BOOK IS FORStudents pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical. TABLE OF CONTENTS 1. ESP8266-Based Wireless Web Server 2. Air Pollution Meter Using Raspberry Pi 3. Smart Garage Door 4. Baggage Tracker 5. Smart Trash Collector 6. Car parking system 7. Home Automation 8. Environmental Parameter Monitoring 9. Intelligent System for the Blind 10. Sign to Speech Using the IoTs 11. Windows 10 on Raspberry 12. Wireless Video Surveillance Robot Using Raspberry Pie13. IoT-Based
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English [en] · EPUB · 5.3MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 75.140045
upload/newsarch_ebooks_2025_10/2022/12/18/extracted__Cross-Industry_Blockchain_Technology_Opportunities_and_Challenges_in_Industry_4.0.zip/Cross-Industry Blockchain Technology Opportunities and Challenges in Industry 4.0/Cross-Industry Blockchain Techn - Singh, Rajesh;Gehlot, Anita;Dha.pdf
Cross-Industry Blockchain Technology: Opportunities and Challenges in Industry 4. 0 Rajesh Singh, Anita Gehlot, Bhavesh Dharmani, Kamal Kumar, (eds.) Bentham Science Publishers Pted. Ltd, Bentham Science Publishers Ltd., [N.p.], 2022
Blockchain technology is part of the 4th industrialrevolution of Industry and has generated a lot of potential for stakeholders and endusers. From Bitcoin and Ethereum, to the third-generation of blockchains, thetechnology has transformed the digital landscape in many industrial sectors. Cross-IndustryBlockchain Technology: Opportunities and Challenges in Industry 4.0 explores the role of blockchains in industry 4.0across multiple industries. It covers the problems and new frontiersencountered by engineers and professionals for commercial and technical use. The range of Blockchain applicationscovered in the book include finance, big data, health industry,hydrophonics, and vehicle ad hoc networks. General readers and industryprofessionals interested in Blockchain technology and industry 4.0 will findinteresting information about current tech trends in this space.
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English [en] · PDF · 13.2MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save
base score: 11065.0, final score: 74.229515
upload/newsarch_ebooks/2022/03/23/Digital Forensics and Internet of Things Impact and Challenges/Digital Forensics and Internet - Anita Gehlot.pdf
Digital Forensics and Internet of Things : Impact and Challenges Anita Gehlot, Rajesh Singh, Jaskaran Singh, Neeta Raj Sharma Wiley & Sons, Incorporated, John, 1, 2022-03-15
<p>DIGITAL FORENSICS AND INTERNET OF THINGS<br></p><p>It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal.<br></p><p>The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice—investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn't live on the device itself, but rather in the provider's cloud platform. If you can get the data off the device, you'll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking.<br></p><p>Digital Forensics and Internet of Things encompasses:<br></p><ul> <li>State-of-the-art research and standards concerning IoT forensics and traditional digital forensics </li> <li>Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards </li> <li>Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions </li> <li>Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices </li> <li>Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study. </li></ul><p>Audience<br></p><p>Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.<br></p>
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base score: 10968.0, final score: 70.930275
upload/newsarch_ebooks_2025_10/2022/12/18/extracted__Cross-Industry_Blockchain_Technology_Opportunities_and_Challenges_in_Industry_4.0.zip/Cross-Industry Blockchain Technology Opportunities and Challenges in Industry 4.0/Cross-Industry Blockchain Techn - Singh, Rajesh;Gehlot, Anita;Dha.epub
Cross-Industry Blockchain Technology: Opportunities and Challenges in Industry 4. 0 Rajesh Singh; Anita Gehlot; Bhaveshkumar C Dharmani; Kamal Kumar Bentham Science Publishers Pted. Ltd, Bentham Science Publishers Ltd., [N.p.], 2022
In the last two decades, many new fractional operators have appeared, often defined using integrals with special functions in the kernel as well as their extended or multivariable forms. Modern operators in fractional calculus have different properties which are comparable to those of classical operators. These have been intensively studied for modelling and analysing real-world phenomena. There is now a growing body of research on new methods to understand natural occurrences and tackle different problems.This book presents ten reviews of recent fractional operators split over three sections:1. Chaotic Systems and Control (covers the Caputo fractional derivative, and a chaotic fractional-order financial system)2. Heat Conduction (covers the Duhamel theorem for time-dependent source terms, and the Cattaneo ndash;Hristov model for oscillatory heat transfer)3. Computational Methods and Their Illustrative Applications (covers mathematical analysis for understanding 5 real-word phenomena: HTLV-1 infection of CD4+ T-cells, traveling waves, rumor-spreading, biochemical reactions, and the computational fluid dynamics of a non-powered floating object navigating in an approach channel)This volume is a resource for researchers in physics, biology, behavioral sciences, and mathematics who are interested in new applications of fractional calculus in the study of nonlinear phenomena.
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base score: 10965.0, final score: 67.09327
nexusstc/Arduino and SCILAB based Projects/344d68d62aa5f3ec73ea07d61ceb9076.pdf
Arduino and Scilab based Projects Anita Gehlot, Rajesh Singh, Bhupendra Singh BENTHAM SCIENCE PUBLISHERS SINGAPORE PTE. LTD., Singapore, 2019
https://benthambooks.com/book/9789811410925/ Arduino and Scilab based Projects provides information ranging from the basics to advanced knowledge of Arduino and its interfacing with input/output devices (display devices, actuators, sensors), communication modules (RF modem, Zigbee) and Scilab. It also provides embedded system based on Arduino with simulation, programming and interfacing with Scilab, Arduino interfacing with Scilab with and without Arduino 1.1 packages. Chapters are arranged in an easy-to-understand sequence that enhances the learning experience for readers. Descriptions of real time project prototypes with programming and simulation of Arduino and Scilab.
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English [en] · PDF · 3.9MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 65.552414
upload/newsarch_ebooks/2018/12/15/IoT in Automotive Indu.pdf
Internet of Things in Automotive Industries and Road Safety Electronic Circuits, Program Coding and Cloud Servers Chimata, Raghuveer,Singh, Rajesh,Gehlot, Anita,Singh, Bhupendra,Ranjith, P. S.,Microelectronics, Schematics
Front Cover 1 Half Title Page 2 RIVER PUBLISHERS SERIES IN TRANSPORT TECHNOLOGY 3 Title Page 4 Copyright Page 5 Contents 6 Preface 12 List of Figures 14 List of Tables 18 List of Abbreviations 20 Chapter 1 - Introduction 22 1.1 Introduction to IoT 22 1.2 Future and Market Potential of IoT 24 1.3 Industry 4.0 25 1.4 IoT Model 27 1.5 IoT Protocol Architecture 28 1.6 IoT Technology 32 1.7 Functional Block of IoT 35 1.8 IoT Communication Models 36 1.8.1 Request–Response Communication Model 36 1.8.2 Publish Subscribe Communication Model 36 1.8.3 Push–Pull Communication Model 36 1.9 IoT Communication API 38 1.9.1 REST-based Communication API 38 1.9.2 WebSocket-based Communication API 39 1.10 IoT Levels 40 1.10.1 Level-1 IoT System 40 1.10.2 Level-2 IoT System 40 1.10.3 Level-3 IoT System 41 1.10.4 Level-4 IoT System 42 1.10.5 Level-5 IoT System 43 1.10.6 Level-6 IoT System 44 1.11 Domain-Specific IoT and Applications 45 1.11.1 IoT Application in Transport/Logistics 46 1.11.2 IoT Application in the Smart Home 46 1.11.3 IoT Application in Smart Cities 47 1.11.4 IoT Application in Smart Factory 49 1.11.5 IoT Application in Retail 49 1.11.6 IoT Application in E-Health 49 1.11.7 IoT Application in Railroads 51 1.11.8 IoT Application in Automotive Sector 51 1.11.9 IoT Application in Manufacturing 52 1.11.10 IoT Application in Wearables 52 1.11.11 IoT Application in Agriculture 53 1.11.12 IoT Application in Energy Management 53 1.11.13 IoT Application in Industrial Automation 54 1.11.14 IoT Application in Smart Grids 54 1.11.15 IoT Application in Smart Supply Chain 55 1.11.16 IoT Application in Smart Farming 55 1.11.17 IoT Application in Industrial Internet 55 1.11.18 IoT Application in Connected Car 55 1.11.19 IoT Application in Connected Health 56 1.11.20 IoT Application in Poultry 56 1.11.21 IoT Application in Smart Environment 56 1.11.22 IoT Application in Security and Emergency 56 1.11.23 IoT Application in Smart Animal Farming 56 1.11.24 IoT Application in Smart Water 56 1.12 IoT Servers 56 1.12.1 KAA 57 1.12.2 Carriots 57 1.12.3 Temboo 57 1.12.4 SeeControl IoT 57 1.12.5 SensorCloud 58 1.12.6 Etherios 58 1.12.7 Xively 58 1.12.8 Ayla’s IoT Cloud Fabric 58 1.12.9 thethings.io 59 1.12.10 Exosite 59 1.12.11 Arrayent Connect TM 59 1.12.12 OpenRemote 59 1.12.13 Arkessa 60 1.12.14 Oracle IoT Cloud 60 1.12.15 Nimbits 60 1.12.16 ThingWorx 60 1.12.17 InfoBright 60 1.12.18 Jasper Control Center 61 1.12.19 Echelon 61 1.12.20 AerCloud 61 1.12.21 ThingSpeak 61 1.12.22 Plotly 61 1.12.23 GroveStreams 61 1.12.24 Microsoft Research Lab of Things 62 1.12.25 IBM IoT 62 1.12.26 Blynk 62 1.12.27 Cayenne APP 62 1.12.28 Virtuino APP 62 1.13 Internet of Things Device Design Methodology 62 1.14 Role of IoT in Automotive Industries 64 1.15 Introduction to Arduino 66 1.16 Introduction to NodeMCU 67 1.17 Introduction to GPRS 69 Chapter 2 - Interfacing of Arduino with Input/Output Devices 72 2.1 Digital Sensor – Capacitive Touch Proximity Sensor 72 2.1.1 Introduction 72 2.1.2 Circuit Diagram 72 2.1.3 Program Code 74 2.2 Analog Sensor – DC Voltage Sensor 75 2.2.1 Introduction 75 2.2.2 Circuit Diagram 76 2.2.3 Program Code 77 2.3 Serial Communication with RF Modem 78 2.3.1 Introduction 79 2.3.2 Circuit Diagram 80 2.3.2.1 Connection of the transmitter 80 2.3.2.2 Connections of the receiver 82 2.3.3 Program Code 83 2.3.3.1 Transmitter Code 83 2.3.3.2 Receiver Code 85 Chapter 3 - Interfacing of ESP8266 with Input/Output Devices 88 3.1 Interfacing of ESP8266 with Analog Sensor 88 3.1.1 Introduction 88 3.1.2 Circuit Diagram 89 3.1.3 Program Code 89 3.2 Interfacing of ESP8266 with Digital Sensors 91 3.2.1 Introduction 91 3.2.2 Circuit Diagram 92 3.2.3 Program Code 92 3.3 NodeMCU and Serial Communication 94 3.3.1 Introduction 94 3.3.2 Circuit Diagram 94 3.3.3 Program Code 95 Chapter 4 - Biometric Car Door Opening System 98 4.1 Introduction 98 4.2 Circuit Diagram 98 4.3 Program Code 99 4.4 Blynk APP 103 Chapter 5 - Accident Monitoring System 106 5.1 Introduction 106 5.2 Circuit Diagram 106 5.3 Program Code 108 5.3.1 Program Code for Arduino Nano 108 5.3.2 Program Code for NodeMCU 111 5.4 ThingSpeak Server 114 Chapter 6 - Engine Oil and Coolant Level Monitoring System 118 6.1 Introduction 118 6.2 Circuit Diagram 118 6.3 Program Code 120 6.3.1 Program Code for Arduino Nano 120 6.3.2 Program Code of NodeMCU for ThingSpeak Server 122 6.4 ThingSpeak Server 124 Chapter 7 - Fleet and Driver Management System 126 7.1 Introduction 126 7.2 Circuit Diagram 126 7.3 Program Code 128 7.3.1 Program Code for Ti Launch Pad with Energeia IDE 128 7.3.2 Program Code for NodeMCU with Arduino IDE 130 7.4 Cayenne APP 132 Chapter 8 - Smart Road Communication System for Mobile Vehicles 134 8.1 Introduction 134 8.2 Circuit Diagram 135 8.2.1 Circuit Diagram for the Road Unit for Black Zone 135 8.2.2 Circuit Diagram of the Unit at the Mobile Vehicle 138 8.3 Program Code from Arduino IDE 139 8.3.1 Program Code for Ti Launch PAD with Energeia IDE 139 8.3.2 Program Code for Ti Launch PAD with Energeia IDE and GPRS 142 8.4 Thing Speak Server 150 Chapter 9 - Talking Road Unit at Pin Turn in Hilly Areas 154 9.1 Introduction 154 9.2 Circuit Diagram 155 9.2.1 Circuit Diagram of Smart Device 1 155 9.2.2 Circuit Diagram of Smart Device 2 157 9.3 Program Code 158 9.3.1 Code for Ti Launch Pad for Smart Device 1 158 9.3.2 Program Code for Ti Launch Pad for Smart Device 2 160 9.3.3 Program Code for Node MCU in Smart Device 2 162 9.4 BLYNK App 164 Chapter 10 - Real-time Car Telematics Tracking System 166 10.1 Introduction 166 10.2 Circuit Diagram 168 10.2.1 Connection of Smart Device Using NodeMCU/ESP8266 168 10.2.2 Connection of Smart Device Using GPRS Modem 169 10.3 Program Code 170 10.3.1 Program Code for Smart Device Using NodeMCU 170 10.3.2 Program Code for GPRS 173 10.4 BLYNK App 182 10.5 ThingSpeak Server 182 References 186 Index 188 About the Authors 190 Back Cover 194
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base score: 10954.0, final score: 65.14948
nexusstc/Internet of Things in Automotive Industries and Road Safety/c726d57a63fabfa2793d9ef5f3603457.pdf
Internet of things in automotive industries and road safety : electronic circuits, program coding and cloud servers Raghuveer Chimata; Anita Gehlot; Rajesh Singh River Publishers, 2022
Routledge is an imprint of the Taylor & Francis Group, an informa business ISBN 978-87-70220-10-1 (print) While every effort is made to provide dependable information, the publisher, authors, and editors cannot be held responsible for any errors or omissions.
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English [en] · PDF · 21.4MB · 2022 · 📘 Book (non-fiction) · nexusstc · Save
base score: 10960.0, final score: 63.196766
upload/newsarch_ebooks/2019/04/10/1681087286.azw3
Arduino meets MATLAB : interfacing, programs and Simulink Rajesh Singh & Anita Gehlot & Bhupendra Singh & Sushabhan Choudhury Bentham Science Publishers, Sharjah, UAE, 2018
English [en] · AZW3 · 7.6MB · 2018 · 📗 Book (unknown) · 🚀/upload/zlib · Save
base score: 11055.0, final score: 62.934208
nexusstc/Microprocessor and Microcontroller Interview Questions: A complete question bank with real-time examples (English Edition)/7657d4a2464f014d118a106b73815f79.epub
Microprocessor and Microcontroller Interview Questions: A complete question bank with real-time examples (English Edition) Gehlot, Anita & Singh, Rajesh & Raja, P. & Singh, Dushyant Kumar & Malik, Praveen Kumar BPB Publications, 1, 2020
Crack the MIcroprocossor and Microcontroller Interview Key Features ● An ample number of diagrams are used to illustrate the subject matter for easy understanding ● Set of review questions with answers are added at the end for better understanding ● Includes basic to advanced interview questions on 8085, 8086, 89C51, PIC and AVR, interfacing of input & output devices ● It will help to enhance the programming skills of the reader Description Book gives you a complete idea about the Microcontroller and Microprocessor. It starts from a very basic concept like a number system, then explains the digital circuit. This book is a complete set of interview questions and answers with plenty of screenshots. Book takes you on a journey to Microprocessor 8085, Peripheral Devices and Interfacing, AVR ATmega32, Interfacing of Input/Output Device. Book also covers the descriptive questions, multiple-choice questions along with answers which are asked during an interview. What will you learn ● Basics to an advanced interview question for microprocessor 8085 & 8086 and microcontroller 89C51, PIC and AVR. ● Question on interfacing of input & output devices. Who this book is for Engineering students pursuing a course in electrical and electronics, electronics and communication, computer science and information technology who wish to learn about Microprocessor, Microcontroller and crack an interview. Table of Contents 1. Number Systems 2. Digital Circuit 3. Microprocessor 8085 4. Peripheral Devices and Interfacing 5. AVR ATmega32 6. Interfacing of Input/Output Device 7. Excercise 8. Descriptive Type Questions 9. Multiple Choice Questions About the Author Dr Anita Gehlot is associated with Lovely Professional University as an Associate Professor with more than ten years of experience in academics. She has twenty-Five patents in her account. She has published more than fifty research papers in refereed journals and conference. She has been awarded “certificate of appreciation” from the University of Petroleum and Energy Studies for exemplary work. She has published fifteen books in the area of Embedded Systems and Internet of Things with reputed publishers like CRC/Taylor & Francis, Narosa, GBS, IRP, NIPA, River Publishers, Bentham Science and RI publication. Dr Rajesh Singh is currently associated with Lovely Professional University as a Professor with more than fifteen years of experience in academics. He has been awarded as a gold medalist in M. Tech and honours in his B.E. His area of expertise includes embedded systems, robotics, wireless sensor networks, and Internet of Things. He has organized and conducted several workshops, summer internships, and expert lectures for students as well as faculty. P. Raja is currently associated with Lovely Professional University as an Assistant Professor with more than eight years of experience in academics. His area of expertise includes MP LAB IDE, IAR, KEIL, Xilinx ISE, Proteus, MODELSIM, QUARTUS, Multisim, Orcad, and CODE VISION AVR, Assembly Language. Dushyant Kumar Singh is an Assistant Professor and Head of Embedded Systems Domain in Lovely Professional University. He has completed his master from Punjab Engineering College, University of Technology, Chandigarh. He has Industrial experience of 2 years and more than nine years of teaching experience. He is engaged in Embedded Systems design and IoT systems design since last more than five years. Dr Praveen Kumar Malik is working as a Professor in Dept. of Electronics and Communication, Lovely Professional University, Punjab India. He has written more than 15 papers in different National and International Journals. His major area of interest includes Antenna Design, wireless Communication, and Embedded systems.
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English [en] · EPUB · 2.1MB · 2020 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 62.147804
nexusstc/Arduino Meets MATLAB: Interfacing, Programs and Simulink/08d00916e3f732314384c27a0bfae644.epub
Arduino meets MATLAB : interfacing, programs and Simulink Singh, Rajesh;Gehlot, Anita.;Singh, Bhupendra.;Choudhury, Sushabhan.; Bentham Science Publishers Ltd., Sharjah, UAE, 2018
Provides a platform for beginners to get started with ATMEGA microcontrollers. The objective of this book is to develop an understanding of interfacing, programming and simulation of the ATMEGA microcontroller based embedded systems. The book is intended to serve for the students of B.Tech/B.E, M.tech/M.E, Ph.D scholars and those who need the application based knowledge for developing real time system using ATMEGA microcontroller. It is entirely based on the practical experience of the authors while undergoing projects with the students and industries.
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English [en] · EPUB · 9.4MB · 2018 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 62.09555
nexusstc/Playing With Genes: A Pragmatic Approach in Genetic Engineering/209863be28d8cc195bb42a868fba89ee.pdf
Playing With Genes: A Pragmatic Approach in Genetic Engineering Prerna Singh; Dolly Sharma Wiley & Sons, Incorporated, John, Digital Forensics and Internet of Things, 2022
Genetic engineering, otherwise, recombinant technology, implies the bunch of competencies acquainted with incising and linking along with genetic material, specifically DNA from various other species, and to incorporate the derived hybrid DNA into an organism to derive novel blend of heritable genetic material. Three main methods concerning genetic engineering are plasmid, vector, and biolistic methods. Derived crossbreed DNA is incorporated within an organism to shape a novel blend of heritable genetic material.This can result in the production of a genetically modified organism (GMO) that will possess enriched or enhanced characteristics or traits or produce desirable bioactive compounds for being used in several fields such as research, industries, medicine, healthcare, pharmaceuticals, and agriculture and for developing the human life experience, in general.Approaches in the present methods comprise the specific rearing of creatures and plants, hybridization, and recombinant deoxyribonucleic acid (rDNA). With the headway of genetic engineering, researchers would now be successful in modifying the pattern of genomes to eliminate various diseases that occur due to hereditary mutation. In this work, we will lighten up genetically engineered food crops and its advancements which lead to curing deadly diseases.
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English [en] · PDF · 1.7MB · 2022 · 🤨 Other · nexusstc · Save
base score: 10890.0, final score: 61.044266
lgli/Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta - Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance (2022, BPB Publications).epub
Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition) Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta BPB Publications, S.l, 2022
Explore the cosmic secrets of Distributed Processing for Deep Learning applications KEY FEATURES ● In-depth practical demonstration of ML/DL concepts using Distributed Framework. ● Covers graphical illustrations and visual explanations for ML/DL pipelines. ● Includes live codebase for each of NLP, computer vision and machine learning applications. DESCRIPTION This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark. The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes. Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language WHAT YOU WILL LEARN ●Learn how to get started with machine learning projects using Spark. ● Witness how to use Spark MLib's design for machine learning and deep learning operations. ● Use Spark in tasks involving NLP, unsupervised learning, and computer vision. ● Experiment with Spark in a cloud environment and with AI pipeline workflows. ● Run deep learning applications on a distributed network. WHO THIS BOOK IS FOR This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Apache Spark Environment Setup and Configuration 3. Apache Spark 4. Apache Spark MLlib 5. Supervised Learning with Spark 6. Un-Supervised Learning with Apache Spark 7. Natural Language Processing with Apache Spark 8. Recommendation Engine with Distributed Framework 9. Deep Learning with Spark 10. Computer Vision with Apache Spark
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English [en] · EPUB · 18.6MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save
base score: 11068.0, final score: 60.41635
lgli/Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta - Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms (2022, BPB Publications).pdf
Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition) Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta BPB Publications, S.l, 2022
Who this book is forThis book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.Table of Contents1. Introduction to Machine Learning2. Apache Spark Environment Setup and Configuration3. Apache Spark4. Apache Spark MLlib5. Supervised Learning with Spark6. Un-Supervised Learning with Apache Spark7. Natural Language Processing with Apache Spark8. Recommendation Engine with Distributed Framework9. Deep Learning with Spark10. Computer Vision with Apache Spark
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English [en] · PDF · 18.9MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save
base score: 11068.0, final score: 60.1633
ia/commonannavahasr0000unse.pdf
Common Annavaha-Srotastha Vyadhi (Gastrointestinal Disorders) In Children editors, Dr. B.M. Singh, Dr. Sangeeta Gehlot Varanasi: Chaukhambha Orientalia, Jaikrishnadas Ayurveda series -- no. 258, First edition., Varanasi, India, 2013
6, 220 pages : 25 cm Includes bibliographical references
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English [en] · Shan [shn] · PDF · 15.9MB · 2013 · 📗 Book (unknown) · 🚀/ia · Save
base score: 11068.0, final score: 59.915596
nexusstc/IoT Sensors: Security in Network Forensics/eebf64ede173aa8735b41dae9ef3b70a.pdf
IoT Sensors: Security in Network Forensics D. Karthika Wiley & Sons, Incorporated, John, Digital Forensics and Internet of Things, 2022
IoT forensics is a branch of digital forensics which deals with IoT-related cybercrimes. It includes investigation of connected devices, sensors, and the data stored on all possible platforms. The motive is to identify, collect, analyze, and present digital evidence collected from various mediums in a cybercrime incident. There is no specific method of IoT forensics that can be broadly used so identifying valuable sources is a major challenge. IoT forensics requires a multi-faceted approach where evidence can be collected from various sources. These include variance of the IoT devices, data present across multiple devices and platforms, and data that can be updated, modified, or lost. Data is stored on cloud or a different geography for data to be retrieved. This chapter focuses on with ever evolving IoT devices that there will always be a need for unique, intelligent, and adaptable techniques to investigate IoT-related crimes. Forensics experts will have to develop skill sets to deal with the variety and complexity of IoT devices to keep up with this evolution. There are high possibilities the data on cloud can be altered which would result to an investigation failure. Cybercrime keeps evolving and getting bolder by the day. No matter the challenges one faces, there is always a unique solution to complex problems.
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English [en] · PDF · 0.4MB · 2022 · 🤨 Other · nexusstc · Save
base score: 10880.0, final score: 59.592644
lgli/Singh, Rajesh, Gehlot, Anita, Jain, Vishal, Malik, Praveen Kumar - Handbook of Research on the Internet of Things Applications in Robotics and Automation (2020, IGI Global).pdf
Handbook of Research on the Internet of Things Applications in Robotics and Automation (Advances in Computational Intelligence and Robotics) Rajesh Singh (editor), Anita Gehlot (editor), Vishal Jain (editor) IGI Global/Engineering Science Reference, an imprint of IGI Global, Advances in computational intelligence and robotics (ACIR) book series, Hershey, PA, 2019
With near-universal internet access and ever-advancing electronic devices, the ability to facilitate interactions between various hardware and software provides endless possibilities. Though internet of things (IoT) technology is becoming more popular among individual users and companies, more potential applications of this technology are being sought every day. There is a need for studies and reviews that discuss the methodologies, concepts, and possible problems of a technology that requires little or no human interaction between systems. The Handbook of Research on the Internet of Things Applications in Robotics and Automation is a pivotal reference source on the methods and uses of advancing IoT technology. While highlighting topics including traffic information systems, home security, and automatic parking, this book is ideally designed for network analysts, telecommunication system designers, engineers, academicians, technology specialists, practitioners, researchers, students, and software developers seeking current research on the trends and functions of this life-changing technology.
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English [en] · PDF · 21.4MB · 2019 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save
base score: 11068.0, final score: 56.90249
upload/newsarch_ebooks_2025_10/2020/09/02/Arduino and Scilab Bas.pdf
Arduino and Scilab Based Projects Singh, Rajesh;Gehlot, Anita.;Singh, Bhupendra.;
Cover 1 Title 2 Biblography 3 End User License Agreement 4 Contents 6 Preface 9 ACKNOWLEDGEMENTS 9 CONFLICT OF INTEREST 9 SECTION A: Arduino and its Interfacing 10 Introduction to Arduino and Arduino IDE and toolbox_arduino_v3 11 1.1. ARDUINO UNO 12 1.2. ARDUINO MEGA 13 1.3. ARDUINO NANO 14 1.4. INTRODUCTION TO ARDUINO I/O PACKAGE FOR SCILAB 16 1.4.1. Steps to Upload Scilab Package in Arduino 16 Arduino Interfacing with Sensors 17 2.1. INTERFACING OF A CAPACITIVE TOUCH PROXIMITY SENSOR 17 2.1.1. Capacitive Touch Proximity Sensor 18 2.1.1.1. Circuit Diagram 19 2.1.1.2. Program Code for Arduino Nano 20 2.2. INTERFACING OF AN AC CURRENT SENSOR 21 2.2.1. AC Current Sensor 22 2.2.1.1. Circuit Diagram 23 2.2.1.2. Program Code for Arduino Nano 25 2.3. INTERFACING OF AC VOLTAGE SENSOR 26 2.3.1. Circuit Diagram 28 2.3.2. Program Code for Arduino Nano 29 2.4. INTERFACING OF DC VOLTAGE SENSOR 31 2.4.1. Circuit Diagram 32 2.4.2. Program Code for Arduino Nano 33 2.5. INTERFACING OF DC CURRENT SENSOR 34 2.5.1. Circuit Diagram 36 2.5.2. Program Code for Arduino Nano 37 Arduino and Serial Communication 39 3.1. SERIAL COMMUNICATION WITH 2.4 GHZ RF MODEM 39 3.1.1. Circuit Diagram 42 3.1.1.1. Circuit Diagram of Transmitter Section 42 3.1.1.2. Circuit Diagram of Receiver Section 43 3.1.2. Program Code 44 3.1.2.1. Transmitter Program 44 3.1.2.2. Receiver Program 46 3.2. SERIAL COMMUNICATION WITH GSM MODEM 49 3.2.1. Circuit Diagram 50 3.2.2. Program Code 51 Introduction to Scilab and GUI without Toolbox 54 4.1. SCILAB GUI 54 Steps to design GUI in Scilab 54 SECTION B: Arduino_1.1 Package with Scilab 58 Scilab Arduino_1.1 Package (using toolbox_ arduino_v3.ino) 59 5.1. STEPS TO INSTALL PACKAGE IN ARDUINO 59 5.2. BLOCKS OF SCILAB XCOS 61 Building Blocks of XCOS: 61 5.3. DIGITAL READ 63 5.3.1. Circuit Diagram 64 5.4. DIGITAL WRITE 65 5.4.1. Circuit Diagram 66 5.5. DIGITAL READ AND WRITE 67 5.5.1. Circuit Diagram 69 5.6. ANALOG READ WITH POTENTIOMETER 69 5.6.1. Circuit Diagram 72 5.7. ANALOG READ WITH TEMPERATURE SENSOR 73 5.7.1. Circuit Diagram 74 5.8. ANALOG READ WRITE 75 5.8.1. Circuit Diagram 77 Servo Motor Control with Arduino_1.1 Package 80 6.1. CIRCUIT DIAGRAM 81 Motion Detection System with Arduino_1.1 Package 84 7.1. CIRCUIT DIAGRAM 86 Two Axis Solar Tracker with Arduino_1.1 Package 89 8.1. CIRCUIT DIAGRAM 90 Environment Parameter Monitoring System with Arduino_1.1 Package 93 9.1. CIRCUIT DIAGRAM 96 Environment Parameter Monitoring Robot with Arduino_1.1 Package 99 10.1. CIRCUIT DIAGRAM 100 PID Controller for Heater with Arduino_1.1 Package 103 11.1. CIRCUIT DIAGRAM 105 SECTION C: Scilab GUI without Arduino_1.1 package 107 Wireless Building Automation System 108 12.1. CIRCUIT DIAGRAM 110 12.1.1. Connections of Transmitter Section 110 12.1.2. Connections of Receiver Section 112 12.2. PROGRAM CODE 113 12.2.1. Program Code for Transmitter Section 113 12.2.2. Program Code for Receiver Section 115 12.3. GRAPHICAL USER INTERFACE IN SCILAB 119 Wireless Robot Control with Scilab GUI 123 13.1. CIRCUIT DIAGRAM 125 13.1.1. Connections For Transmitter Section. 125 13.1.2. Connections For Receiver Section. 126 13.2. PROGRAM CODE 128 13.2.1. Program Code For Transmitter Section (Scilab Side) 128 13.2.2. Program Code for Receiver Section. 130 13.3. GRAPHICAL USER INTERFACE IN SCILAB 134 BIBLIOGRAPHY 137 Subject Index 138 Back Cover 139
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base score: 10954.0, final score: 56.830627
Arduino and Scilab Based Projects Singh, Rajesh; Gehlot, Anita; Singh, Bhupendra 2019
PDF · 12.1MB · 2019 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11053.0, final score: 56.72642
Computing of neuromorphic materials: an emerging approach for bioengineering solutions Chander Prakash & Lovi Raj Gupta & Amrinder Mehta & Hitesh Vasudev & Roman Tominov & Ekaterina Korman & Alexander Fedotov & Vladimir Smirnov & Kavindra Kumar Kesari Royal Society of Chemistry
Materials Advances (2023), 4, 5882-5919, doi:10.1039/D3MA00449J
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base score: 11056.0, final score: 55.51008
ia/nlsiu.346.096.gup.37846.pdf
Law Of Dishonour Of Cheques 5th Edition Dr. Rajesh Gupta , Dr. Gunjan Gupta Universal Lexis Nexis, 2019
English [en] · PDF · 115.4MB · 2019 · 📗 Book (unknown) · 🚀/ia · Save
base score: 11065.0, final score: 55.19257
nexusstc/Digital Forensics and Internet of Things: Impact and Challenges/c9c380cb4ceee7ca79ad95e8891df0b6.pdf
Digital Forensics and Internet of Things – Impact and Challenges Anita Gehlot (editor), Rajesh Singh (editor), Jaskaran Singh (editor), Neeta Raj Sharma (editor) John Wiley & Sons, Incorporated, 1, 2022
DIGITAL FORENSICS AND INTERNET OF THINGS It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal. The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice—investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn’t live on the device itself, but rather in the provider’s cloud platform. If you can get the data off the device, you’ll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking. Digital Forensics and Internet of Things encompasses: State-of-the-art research and standards concerning IoT forensics and traditional digital forensics Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study. Audience Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.
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English [en] · PDF · 14.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 55.073795
Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition) Gourav Gupta & Dr. Manish Gupta & Dr. Inder Singh Gupta BPB Publications, S.l, 2022
<p>Explore the cosmic secrets of Distributed Processing for Deep Learning applications.<br></p><p>Key Features<br> ?In-depth practical demonstration of ML/DL concepts using Distributed Framework.<br> ? Covers graphical illustrations and visual explanations for ML/DL pipelines.<br> ? Includes live codebase for each of NLP, computer vision and machine learning applications.<br></p><p>Description<br> This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark.The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes.Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language.<br></p><p>What you will learn<br> ? Learn how to get started with machine learning projects using Spark.<br> ? Witness how to use Spark MLib's design for machine learning and deep learning operations.<br> ? Use Spark in tasks involving NLP, unsupervised learning, and computer vision.<br> ? Experiment with Spark in a cloud environment and with AI pipeline workflows.<br> ? Run deep learning applications on a distributed network.<br></p><p>Who this book is for<br> This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.<br></p><p>Table of Contents<br> 1.Introduction to Machine Learning<br> 2. Apache Spark Environment Setup and Configuration<br> 3. Apache Spark<br> 4. Apache Spark MLlib<br> 5. Supervised Learning with Spark<br> 6. Un-Supervised Learning with Apache Spark<br> 7. Natural Language Processing with Apache Spark<br> 8. Recommendation Engine with Distributed Framework<br> 9. Deep Learning with Spark<br> 10. Computer Vision with Apache Spark<br></p>
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English [en] · AZW3 · 16.9MB · 2022 · 📘 Book (non-fiction) · 🚀/zlib · Save
base score: 11058.0, final score: 55.011826
Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition) Gourav Gupta & Dr. Manish Gupta & Dr. Inder Singh Gupta BPB Publications, S.l, 2022
<p>Explore the cosmic secrets of Distributed Processing for Deep Learning applications.<br></p><p>Key Features<br> ?In-depth practical demonstration of ML/DL concepts using Distributed Framework.<br> ? Covers graphical illustrations and visual explanations for ML/DL pipelines.<br> ? Includes live codebase for each of NLP, computer vision and machine learning applications.<br></p><p>Description<br> This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark.The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes.Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language.<br></p><p>What you will learn<br> ? Learn how to get started with machine learning projects using Spark.<br> ? Witness how to use Spark MLib's design for machine learning and deep learning operations.<br> ? Use Spark in tasks involving NLP, unsupervised learning, and computer vision.<br> ? Experiment with Spark in a cloud environment and with AI pipeline workflows.<br> ? Run deep learning applications on a distributed network.<br></p><p>Who this book is for<br> This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.<br></p><p>Table of Contents<br> 1.Introduction to Machine Learning<br> 2. Apache Spark Environment Setup and Configuration<br> 3. Apache Spark<br> 4. Apache Spark MLlib<br> 5. Supervised Learning with Spark<br> 6. Un-Supervised Learning with Apache Spark<br> 7. Natural Language Processing with Apache Spark<br> 8. Recommendation Engine with Distributed Framework<br> 9. Deep Learning with Spark<br> 10. Computer Vision with Apache Spark<br></p>
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English [en] · MOBI · 16.8MB · 2022 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11058.0, final score: 54.98959
nexusstc/Digital Forensics and Internet of Things: Impact and Challenges/480e513abb33baa00224c7e03f00153d.epub
Digital Forensics and Internet of Things – Impact and Challenges Anita Gehlot (editor), Rajesh Singh (editor), Jaskaran Singh (editor), Neeta Raj Sharma (editor) John Wiley & Sons, Incorporated, 1, 2022
DIGITAL FORENSICS AND INTERNET OF THINGS It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal. The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice—investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn’t live on the device itself, but rather in the provider’s cloud platform. If you can get the data off the device, you’ll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking. Digital Forensics and Internet of Things encompasses: State-of-the-art research and standards concerning IoT forensics and traditional digital forensics Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study. Audience Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.
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English [en] · EPUB · 7.0MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/nexusstc/zlib · Save
base score: 11065.0, final score: 54.855022
lgli/EXPLORING THE PSYCHO-SOCIAL IMPACT OF COVID-19; Global Perspectar Tiwari & Prof Leister Sam Sudheer Manickam & Dr Tushar Singh.pdf
Exploring the Psycho-Social Impact of COVID-19 : Global Perspectives on Behaviour, Interventions and Future Directions Dr Rajesh Verma & Dr Uzaina & Dr Gyanesh Kumar Tiwari & Prof Leister Sam Sudheer Manickam & Dr Tushar Singh Routledge, 1, FR, 2024
This comprehensive resource provides a one-stop information repository, exploring all psychological aspects of COVID-19. Divided into three sections, the book covers the psycho-social impact on society and individuals and our collective cooperative behaviour, as well as philanthropic efforts, coping strategies and technological interventions, and how lessons learned will help in preparedness for the future., Including case studies and the latest research from diverse scientific studies across different regions, this book examines how psycho-social paradigms changed as a result of the pandemic and left their watermark on the human psyche. It also explores the coping strategies adopted to deal with this common aggressor and how the techniques varied in accordance with social, cultural, and geographical factors. The final section offers new insights for the future, highlighting the psychological infrastructure required, the type of preparedness and handling strategies necessary to mitigate the impact of any future biogenic pandemics. Combining theory and practical application, this is a valuable reading for academics and researchers as well as practising psychologists, clinical psychologists, and lawmakers who are concerned with mental health.
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English [en] · PDF · 17.7MB · 2024 · 📘 Book (non-fiction) · 🚀/lgli/lgrs/zlib · Save
base score: 11065.0, final score: 54.37995
lgli/Practical Machine Learning with Spark - Uncover Apache Spark Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML (2022) - BPB.epub
Practical Machine Learning with Spark: Uncover Apache Spark’s Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML(English Edition) Gourav Gupta & Dr. Manish Gupta & Dr. Inder Singh Gupta BPB Publications, S.l, 2022
<p>Explore the cosmic secrets of Distributed Processing for Deep Learning applications.<br></p><p>Key Features<br> ?In-depth practical demonstration of ML/DL concepts using Distributed Framework.<br> ? Covers graphical illustrations and visual explanations for ML/DL pipelines.<br> ? Includes live codebase for each of NLP, computer vision and machine learning applications.<br></p><p>Description<br> This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark.The book walks readers by setting up Hadoop and Spark installations on-premises, Docker, and AWS. Readers will learn about Spark MLib and how to utilize it in supervised and unsupervised machine learning scenarios. With the help of Spark, some of the most prominent technologies, such as natural language processing and computer vision, are evaluated and demonstrated in a realistic setting. Using the capabilities of Apache Spark, this book discusses the fundamental components that underlie each of these natural language processing, computer vision, and machine learning technologies, as well as how you can incorporate these technologies into your business processes.Towards the end of the book, readers will learn about several deep learning frameworks, such as TensorFlow and PyTorch. Readers will also learn to execute distributed processing of deep learning problems using the Spark programming language.<br></p><p>What you will learn<br> ? Learn how to get started with machine learning projects using Spark.<br> ? Witness how to use Spark MLib's design for machine learning and deep learning operations.<br> ? Use Spark in tasks involving NLP, unsupervised learning, and computer vision.<br> ? Experiment with Spark in a cloud environment and with AI pipeline workflows.<br> ? Run deep learning applications on a distributed network.<br></p><p>Who this book is for<br> This book is valuable for data engineers, machine learning engineers, data scientists, data architects, business analysts, and technical consultants worldwide. It would be beneficial to have some familiarity with the fundamentals of Hadoop and Python.<br></p><p>Table of Contents<br> 1.Introduction to Machine Learning<br> 2. Apache Spark Environment Setup and Configuration<br> 3. Apache Spark<br> 4. Apache Spark MLlib<br> 5. Supervised Learning with Spark<br> 6. Un-Supervised Learning with Apache Spark<br> 7. Natural Language Processing with Apache Spark<br> 8. Recommendation Engine with Distributed Framework<br> 9. Deep Learning with Spark<br> 10. Computer Vision with Apache Spark<br></p>
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English [en] · EPUB · 15.3MB · 2022 · 📘 Book (non-fiction) · 🚀/lgli/zlib · Save
base score: 11068.0, final score: 54.23377
AI in Disease Detection Rajesh Singh & Anita Gehlot & Navjot Rathour & Shaik Vaseem Akram null, null, null, 2025
null
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PDF · 5.9MB · 2025 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11058.0, final score: 54.21463
AI in Disease Detection: Advancements and Applications Rajesh Singh, Anita Gehlot, Navjot Rathour & Shaik Vaseem Akram 2024
PDF · 2.2MB · 2024 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11053.0, final score: 54.13067
AI in Disease Detection Rajesh Singh & Anita Gehlot & Navjot Rathour & and Shaik Vaseem Akram null, null, null, 2024
null
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English [en] · PDF · 2.6MB · 2024 · 📗 Book (unknown) · 🚀/zlib · Save
base score: 11065.0, final score: 53.9171
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