scholarly journals Recognition of images of Korean characters using embedded networks

2020 ◽  
Author(s):  
Sergey Ilyuhin ◽  
Alexander Sheshkus ◽  
Vladimir L. Arlazarov
Keyword(s):  
Embedded Networks

Embedded Networks in Civilian Aircraft Avionics Systems

2011 ◽  
pp. 1-16
Author(s):  
Christian Fraboul ◽  
Fabrice Frances ◽  
Jean-Luc Scharbarg
Keyword(s):  
Embedded Networks

Fabrication of Microfluidic Manifold by Precision Extrusion Deposition and Replica Molding for Cell-Laden Device

2015 ◽  
Vol 138 (4) ◽  
Author(s):  
Jessica Snyder ◽  
Ae Rin Son ◽  
Qudus Hamid ◽  
Wei Sun
Keyword(s):  
Microfluidic Device ◽  
Molding Process ◽  
Channel Network ◽  
Embedded Networks ◽  
Replica Molding ◽  
Cell Printing ◽  
Construction Methods ◽  
Cell Placement ◽  
And Control ◽  
Guided Tissue Engineering

A PED (precision extrusion deposition)/replica molding process enables scaffold guided tissue engineering of a heterocellular microfluidic device. We investigate two types of cell-laden devices: the first with a 3D microfluidic manifold fully embedded in a PDMS (polydimethylsiloxane) substrate and the second a channel network on the surface of the PDMS substrate for cell printing directly into device channels. Fully embedded networks are leak-resistant with simplified construction methods. Channels exposed to the surface are used as mold to hold bioprinted cell-laden matrix for controlled cell placement throughout the network from inlet to outlet. The result is a 3D cell-laden microfluidic device with improved leak-resistance (up to 2.0 mL/min), pervasive diffusion and control of internal architecture.

Modeling disease agents transmission dynamics in dementia on heterogeneous spatially embedded networks

2021 ◽  
Author(s):  
Amirhessam Tahmassebi ◽  
Gelareh Karbaschi ◽  
Uwe Meyer-Baese ◽  
Anke Meyer-Baese
Keyword(s):  
Transmission Dynamics ◽  
Embedded Networks

Asynchronous Hard Real Time Signals Transmission in Embedded Networks

2014 ◽  
Vol 5 (4) ◽  
pp. 24-44 ◽  
Author(s):  
Liudmila Koblyakova ◽  
Yuriy Sheynin ◽  
Elena Suvorova
Keyword(s):  
Real Time ◽  
Signal Transmission ◽  
Aerospace Industry ◽  
Propagation Mechanism ◽  
Time Code ◽  
Embedded Networks ◽  
Control Information ◽  
Performance Requirements ◽  
Time Signals ◽  
Hard Real Time

Nowadays in the aerospace industry the router-based onboard embedded networks gradually replacing bus-based networks because they are already not satisfy the aerospace performance requirements. The SpaceWire, GigaSpaceWire and SpaceFibre standards are developing to meet the increasing aerospace requirements. The important requirement for any aerospace embedded onboard network is a transmission of control information and system signals in hard real time. These signals can be synchronous and asynchronous, periodic and aperiodic, with or without acknowledges. The distributed interrupt mechanism is used for asynchronous signal transmission and it is included into the second edition of SpaceWire standard. The Time-code propagation mechanism is used for synchronous signal transmission in SpaceWire. The broadcast messages mechanism is used for transmission of different system signal in SpaceFibre but it does not quite meet the requirements of hard real time. In this paper the authors consider the asynchronous signals transmission with and without acknowledges. The aims of this paper are following: 1) theoretically investigate the distributed interrupt mechanism; 2) to prove its properties; 3) to specify parameters and limitations; 4) to derive the time characteristics. For these purpose the authors developed the analytical model which describe the distributed interrupt propagation mechanism in terms of the graph theory.

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