Applications Of Ni Multisim In Ac Circuit Analysis

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Applications of NI Multisim in AC Circuit Analysis

Consisting of multiple experiments covering multiple subjects regarding alternating current circuits, this book aims to spread knowledge and spark discussion with its readers. The book will cover each experiment theoretically, understand its background and verify statements made using NI Multisim 14.1. The book is filled with easy to understand circuit diagrams built in iCircuit for better understanding of the topics at hand. There are two chapters covering six experiments, three each, these include: - Experiment 1, Transient Analysis of RC Circuit - Experiment 2, Transient Analysis of RL Circuit - Experiment 3, Transient Analysis of RLC Circuit - Experiment 4, Superposition Theory - Experiment 5, Resonance - Experiment 6, Two Port Networks This book will be helpful for future electrical and electronic engineering students and hobbyists looking to better integrate their knowledge of electrical theory with modern simulation software that pushes for further possibilities.
Essential Circuit Analysis using NI MultisimTM and MATLAB®

This textbook provides a compact but comprehensive treatment that guides students through the analysis of circuits, using NI MultisimTM and MATLAB®. Ideal as a hands-on source for courses in Circuits, Electronics, Digital Logic and Power Electronics this text focuses on solving problems using market-standard software, corresponding to all key concepts covered in the classroom. The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts, while they gain facility with software they will need to master for later studies and practical use in their engineering careers.
Data Science and Intelligent Applications

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike.