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Learning Platform - Communication Systems Engineering

A learning platform for communication systems engineering typically refers to an Educational Platform or resource that provides learning materials, courses, and tools specifically designed to help individuals learn about communication systems engineering. The platform provides an opportunity for the learners to practice Communication Systems Engineering - Holistic view and individual Parts that make the whole. The comprehensive platform comes with all accessories to enable learners to learn the Concepts treated in the Text Books, practically and effectively. The accompanying Learners guide, provides step by step process to learn the fundamental aspects of Communication Systems Engineering. The learners even can run some simulation aspects on the platform and understand the effect of environmental factors on the Communication System Performance. Happy Learning thru Learn By Doing Platform.
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Learning Platforms for IIoIT (Industrial Internet of Intelligent Things))

The term "Industrial Internet of Intelligent Things" (IIoIT) refers to the integration of intelligent devices, sensors, and systems within industrial settings to enable data collection, analysis, and decision-making for improved operational efficiency and productivity. It combines the concepts of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) with a focus on intelligence and advanced analytics. The platform is designed to satisfy the needs of three class of Learners: 1. Students who want to learn the following aspects of IioIT a) Point to Point Wireless communications using various Data communication Standards b) Multi-protocol distributed communications with gateway in place. c) Stand alone and distributed Embedded Solutions d) Develop a project on IIoIT using the whole platform 2. Researchers who needs a platform of Multiprotocol Data communication Standards to test their algorithm for latency improvement, security, Energy reduction etc 3. Practicing Professionals who need an Industrially robust platform to try out various combinations of their Innovative implementation schemes before target site installation. A platform that meets the needs diversified Learners and practioners..
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Setting up and Running Learn By Doing Labs (LeaD) Labs

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Domain Migration support to Employed Professionals

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Mentoring services for eligible & interested Faculty and students

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Preparing the Target students thru MOCK Interview before they face real Corporate Placement Interview

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IoT Comprehensive Image

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FDP Competency Development in E Mobility

Topic: E-Mobility: Use of Electric cars, as well as e-bikes or pedelecs, electric motor bikes, and e-buses. The common feature of all of them is that they are fully or partly driven electrically, have a means of storing energy on board, and obtain their energy mainly from Power Grid. In this program, one will understand, develop and exploit E-Mobility Technologies and help Learners to enhance Employability in Core Engineering Industries. Also help Researchers pursue new areas in these broad Technology areas of E-Mobility. The proposed multi-Disciplinary topic will help one to understand in-depth various Technologies underlying in Broad topic of E-Mobility  E-Mobility,  Energy storage system,  Battery Management System (BMS),  EV System Design,  EMC/EMT testing,  Electric Drive and Power Train,  Sensors used in EVs,  IOT applications in Electric Vehicles and more Detailed course plan: Learning Outcomes 1. Introduction to E-mobility & its Types. 2. Electric and Hybrid Electric Vehicles 3. Explain Electric Vehicles (EV) Concepts. 4. Identify the role of Sensors and Controls in Electric Vehicles 5. Electric drives & Power Trains 6. EV System Design and Architecture 7. Analyse Energy Storage System for EV 8. Explain the Battery Types 9. Understand the Battery Management Systems (BMS) 10. Analyse the Factors Affecting Battery Performance and its Challenges 11. EMC/EMI (RFI/EMC) testing of electrical vehicle 12. Smart Vehicles / IOT for Electric Vehicles; Industry Class on IOT applications for electric vehicles @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Prof KJ; 23 December, 2023
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