Electrical and Electronics Engineering is the branch with the combination of Electrical Engineering and Electronics Engineering, which deals with electrical machines, electrical circuit and electronic components in various communication systems. There is a large scope of development in this area. Employment opportunities are present in the field of manufacturing, energy generation and IT industries
It has got well qualified and experienced faculties having rich experience from industry and academia. SBIT lays emphasis on doing lab works by each and every student along with theory and tutorial classes, to achieve quality in the Engineering Education, as per syllabus approved by the University.
We do not believe in kit culture. We have procured basic equipments like CRO, Power Supply and Function Generators. We encourage the students to assemble their own circuits and perform the experiments using these basic equipments. It helps the students to understand the actual working of the circuits at
component level. Various simulation softwares are also available for the students.
Some of the Labs are:
• Basics of Electronics Lab
• Electrical Technology Lab
• Network Theory Lab
• Electronic Measurement and Instrumentation Lab
• Electrical Workshop
• Electrical Machine Lab
• Analog Electronics Lab
• Digital Electronics Lab
• Principal of CS Lab
• Numerical Methods Lab
Internet of Things (IoT)
The Internet of Things (IoT) refers to a vast number of “things” that are connected to the internet so they can share data with other things – IoT applications, connected devices, industrial machines and more. Internet-connected devices use built-in sensors to collect data and, in some cases, act on it. IoT connected devices and machines can improve how we work and live. Real-world Internet of Things examples range from a smart home that automatically adjusts heating and lighting to a smart factory that monitors industrial machines to look for problems, then automatically adjusts to avoid failures.
History of the IoT
The term “Internet of Things” was coined by entrepreneur Kevin Ashton, one of the founders of the Auto-ID Center at MIT. Ashton was part of a team that discovered how to link objects to the internet through an RFID tag. He first used the phrase “Internet of Things” in a 1999 presentation – and it has stuck around ever since.
Ashton may have been first to use the term Internet of Things, but the concept of connected devices – particularly connected machines – has been around for a long time. For example, machines have been communicating with each other since the first electric telegraphs were developed in the late 1830s. Other technologies that fed into IoT were radio voice transmissions, wireless (Wi-Fi) technologies and supervisory control and data acquisition (SCADA) software. Then in 1982, a modified Coke machine at Carnegie Mellon University became the first connected smart appliance. Using the university’s local ethernet or ARPANET – a precursor to today’s internet – students could find out which drinks were stocked, and whether they were cold.
Today, we’re living in a world where there are more IoT connected devices than humans. These IoT connected devices and machines range from wearables like smartwatches to RFID inventory tracking chips. IoT connected devices communicate via networks or cloud-based platforms connected to the Internet of Things. The real-time insights gleaned from this IoT collected data fuel digital transformation. The Internet of Things promises many positive changes for health and safety, business operations, industrial performance, and global environmental and humanitarian issues.
Who's Using IoT ?
Many industries use IoT to understand consumer needs in real time, become more responsive, improve machine and system quality on the fly, streamline operations and discover innovative ways to operate as part of their digital transformation efforts.
IoT unites data, analytics and marketing processes across locations. Retailers capture IoT data from in-store and digital channels and apply analytics (including artificial intelligence, or AI) for real-time, contextual listening and to understand behavior patterns and preferences. They often use IoT connected devices like RFID inventory tracking chips, cellular and Wi-Fi systems, beacons and smart shelves in their Internet of Things strategy.
IoT connects all phases of the Industrial Internet of Things (IIoT) process – from supply chain to delivery – for a cohesive view of production, process and product data. Advanced IoT sensors in factory machines or warehouse shelves, along with big data analytics and predictive modeling, can prevent defects and downtime, maximize equipment performance, cut warranty costs, boost production yield and enhance the customer experience.
IoT technology captures data streaming in real time from the Internet of Medical Things (IoMT) – such as wearables and other medical connected devices that monitor exercise, sleep and other health habits. This IoT data enables precise diagnoses and treatment plans, improves patient safety and outcomes, and streamlines care delivery.
Transportation and Logistics
IoT with geofence-enabled location intelligence and AI, deployed across the value chain, can deliver greater efficiency and reliability for transportation and logistics companies. This technology can improve service quality, reduce downtime and boost customer satisfaction. It can also enhance safety and reduce costs by managing, tracking and monitoring connected vehicles, freight and other mobile assets in real time.
IoT applications are used to address many real-world issues – traffic congestion, city services, economic development, citizen engagement, and public safety and security. Smart cities often embed IoT sensors into the physical infrastructure, such as streetlights, water meters and traffic signals.
The Internet of Things helps providers deliver reliable, fair-priced services and products. IoT connected devices and machines predict problems before they occur. Distributed grid resources like solar and wind are integrated through IoT. And behavior data – such as that collected from smart homes – improves convenience and security, and informs development of customized services.
Being connected through the Internet of Things – to send, receive and often act on data – results in many smart IoT things that we can use to build a more secure, convenient, productive and intelligent world.
Already, Internet of Things capabilities play a significant role in businesses’ digital transformation efforts. When we combine IoT data with advanced analytics and AI – leading to the “Artificial Intelligence of Things” – the possibilities seem endless