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The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and ...
Decentralized Internet of things, or decentralized IoT, is a modified IoT which utilizes fog computing to handle and balance requests of connected IoT devices in order to reduce loading on the cloud servers and improve responsiveness for latency-sensitive IoT applications like vital signs monitoring of patients, vehicle-to-vehicle communication ...
Web applications are often used for managing hardware, although XML files and other output may be passed to a computer for display. File systems with folders are typically used, however SQL databases are often absent. Software development requires use of a cross compiler, which runs on a computer but produces executable code for the target device.
Ambient IoT, from ambient and Internet of things, is a concept originally coined by 3GPP [1] that is used in the technology industry referring to an ecosystem of a large number of objects in which every item is connected into a wireless sensor network using low-cost self-powered sensor nodes.
As defined by the 21st Century Cures Act in 2016, a medical device is a device that performs a function in healthcare with the intention of using it "in the diagnosis of disease or other conditions, or in the cure, mitigation, treatment, or prevention of disease, in man or other animals, or intended to affect the structure or any function of the body of man or other animals".
The philosophies of Web 2.0 and SOA serve different user needs and thus expose differences with respect to the design and also the technologies used in real-world applications. However, as of 2008, use-cases demonstrated the potential of combining technologies and principles of both Web 2.0 and SOA. [41]
Knowledge representation and knowledge engineering [17] allow AI programs to answer questions intelligently and make deductions about real-world facts. Formal knowledge representations are used in content-based indexing and retrieval, [ 18 ] scene interpretation, [ 19 ] clinical decision support, [ 20 ] knowledge discovery (mining "interesting ...
This led to the evolution of the real-time multitasking kernel into a comprehensive Operating System , encompassing networking, file management, development, and debugging capabilities. Today, RTOS constitues a global industry. In 1981, Ready System developed VRTX32, the world’s first commercial embedded real-time kernel.