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The traditional power systems are changing globally, and a large number of distributed generation (DG) units are integrated into distribution power grid driven by the environmental concerns and economical factors [1].
Most of the WSN applications consist of a large number of distributed nodes that work together to achieve common objectives.
In a typical sensor network application, information is collected from a large number of distributed and heterogeneous sensor nodes.
For example, software in an automotive control or in avionics control are distributed over a large number of distributed processors which are connected over some domain specific buses.
Along with a large number of distributed knowledge sources representing knowledge in various formats this leads to appearance of a new direction in knowledge management called knowledge logistics (KL).
The next generation of software systems includes systems composed of a large number of distributed, decentralized, autonomous, interacting, cooperating, organically grown, heterogeneous, and continually evolving subsystems, which we call IT Ecosystems.
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The network contains a large number of spatially distributed nodes equipped with CPU's that process and transmit data.
The Internet of Things (IoT 1,2 employs a large number of spatially distributed wireless sensors to monitor physical environments, e.g., temperature, humidity, and air pressure, and has many applications, including environmental monitoring3, health care monitoring4, smart cities5, and precision agriculture.
With the development of CMOS and MEMS technologies, the implementation of a large number of wireless distributed micro-sensors that can be easily and rapidly deployed to form highly redundant, self-configuring, and ad hoc sensor networks.
The paper presents a numerical method for solving the problem of an infinite, isotropic elastic plane containing a large number of randomly distributed circular elastic inclusions with uniform interphase layers.
Injecting the working fluid from a large number of spatially distributed microholes rather than a few conventionally drilled wells is likely to provide access to a larger reservoir volume with enhanced overall flow distances between the injection and production wells and increased contact area between permeable fractures and the hot rock matrix.
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