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Articles for category IoT


  • A Summary of How Blockchains are Disrupting B2B Industries

    March 19, 2018
    IoT

    Blockchains are transforming many industries beyond just revolutionizing digital currencies. While a large part of our focus is on how blockchains can empower a new form of “digital currency” that avoids the pitfalls of our existing currency system (namely, reliance on a central authorities like banks, avoiding expensive transaction fees and money fraud due to double-spending (Double Spending, n.d.)), many other industries are leveraging other unique benefits of blockchains to help them digitize their B2B processes of automatic audits, verifiability and contractual agreements. This brief note will describe some of these industries and how blockchain is helping them transform.

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  • Machine Learning Based Network Traffic Anomaly Detection

    March 13, 2018
    IoT

    The importance of anomaly detection is due to the fact that anomalies in data translate to significant (and often critical) actionable information in a wide variety of application domains. This paper discusses the use of Machine Learning based Network Traffic Anomaly detection, to approach the challenges in securing devices and detect network intrusions.

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  • State of Technology, Market and Trends: Augmented and Virtual Reality

    January 25, 2018
    IoT

    Both virtual and augmented reality is influenced by similar technologies. The purpose of this innovation is to provide users with an immersive and enhanced experience. The advent of AR and VR has provided tremendous opportunities for growth and development in a slew of facets both commercial and private.

    There is a very common confusion regarding the mechanisms of these two concepts. With all popularity garnered by AR and VR, a majority of people have begun confusing one technology with the other. In light of this, here is a brief analogy to understand both their functionalities

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  • Introduction: The Role of Testing in IoT

    October 31, 2017
    IoT

    There are several reasons why a test-driven methodology to create IoT technology and its software is needed. When considering traditional methods of testing, programming codes were built and tests were conducted more on a production level. However, the modern approach requires any bugs and glitches to be captured at an early stage. In a test-driven development approach, human interaction for manual testing is minimized, making it possible to capture errors faster and earlier.

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  • Top 7 Use Cases of Drones

    July 18, 2017
    IoT

    Drones, also referred to as Unmanned Aerial Vehicles (UAV), are non-crewed and pilotless aircraft that can fly either using onboard computers or remote control. They are a primary component of the Unmanned Aircraft Systems (UAS) and commonly used by the military. Their idea first became known on 22nd August 1849, when Venice was attacked by Austria with unmanned balloons full of explosives. During and shortly after World War I, the first drone was invented with the intention of taking down Zeppelins but was never flown. Several successors were developed and with each try, there was an improvement in the technology.

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  • An Analysis of IoT Service Enablers

    September 22, 2016
    IoT

    The Internet of Things (IoT) is the next buzz word and its presence is being felt almost everywhere. IoT is basically inter-networking between physical devices (with different levels of intelligence), enabling them to communicate with each other in order to realize some business … read more