Computer Networking A computer network is a set of computers sharing resources located on or provided by network nodes. The computers use common communication protocols over digital interconnections to communicate with each other. These interconnections are made up of telecommunication network technologies, based on physically wired, optical, and wireless radio-frequency methods that may be arranged in a variety of network topologies.  The nodes of a computer network may include personal computers, servers, networking hardware, or other specialised or general-purpose hosts. They are identified by network Continue reading →

Internet of Things The Internet of things (IoT) describes physical objects (or groups of such objects) that are embedded with sensors, processing ability, software, and other technologies, and that connect and exchange data with other devices and systems over the Internet or other communications networks.  The field has evolved due to the convergence of multiple technologies, including ubiquitous computing, commodity sensors, increasingly powerful embedded systems, and machine learning. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), independently Continue reading →

Video Processing Video processing is a particular case of signal processing, in particular image processing, which often employs video filters and where the input and output signals are video files or video streams. Faculty Members: Dr. Dalton Meitei Thounaojam Dr. Suganya Dev K Publications: Saptarshi Chakraborty, Dalton Meitei Thounaojam, Nidul Sinha, “A Shot boundary Detection Technique based on Visual Colour Information“, Multimedia Tools and Applications, vol. , pp. 1-16, 2020. Saptarshi Chakraborty, Dalton Meitei Thounaojam, “SBD-Duo: a dual stage shot boundary detection technique robust to motion Continue reading →

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and Machine Learning (ML) are two correlated concepts under Computer Science. These two technologies are the most trending ones for creating intelligent systems.  AI and ML are related to each other but are different in terms of their functions. AI can be defined as a concept that simulates human thinking capability and behaviour, whereas, machine learning is a subset of AI that allows machines to learn from data without being programmed explicitly. Artificial intelligence (AI) is intelligence Continue reading →

Quantum Computing Quantum computing exploits the power of quantum mechanics for computation. Quantum bit or Qubit allows the existence of three states 0, 1, or both. There are various classical algorithms like np, which take a longer computational time. The computational time is possible to reduce with the help of superposition and Entanglement in quantum computing. Some well-known quantum algorithms are the Deutsch algorithm, Deutsch-Jozsa algorithm, QFT, Shor algorithm, Phase estimation, Grover search etc. The main obstacles of quantum computing are Decoherence, Quantum noise, physical Continue reading →