Proceedings Article10.1109/IMTC.1999.776072
Intelligent nodes for distributed sensor network
A. Sachenko,Volodymyr Kochan,Volodymyr Turchenko,V. Tymchyshyn,Nadiya Vasylkiv +4 more
- 24 May 1999
- Vol. 3, pp 1479-1484
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TL;DR: The node's structure is offered which realises such intelligent functions, as sensor and other measuring channel components drift prediction using remote reprogramming.
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Abstract: Neural networks models and their training algorithms on a central computer with reference to a previously developed distributed sensor network are considered. The requirements for its intelligent node are formulated. Also the node's structure is offered which realises such intelligent functions, as sensor and other measuring channel components drift prediction using remote reprogramming.
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Citations
Precision Data Acquisition (DAQ) Module with Remote Reprogramming
Roman Kochan,O. Kochan,M. Chyrka,Nadiya Vasylkiv +3 more
- 01 Sep 2005
TL;DR: The data acquisition module based on sigma-delta analog to digital converter (ADC) and MCS-51 compatible microcontroller with dynamic remote reprogramming is presented and the main feature is in integral nonlinearity of ADC correction.
Hidden Fault Analysis of FPGA Projects for Critical Applications
Oleksandr Drozd,Ihor Perebeinos,Oleksandr Martynyuk,Kostiantyn Zashcholkin,Olena Ivanova,Myroslav Drozd +5 more
- 01 Feb 2020
TL;DR: A method of analyzing circuits for the possibility of hidden faults is suggested and an iterative array multiplier implemented in an FPGA project with a LUT-oriented architecture is illustrated.
28
Error compensation in an intelligent sensing instrumentation system
A. Sachenko,Volodymyr Kochan,Roman Kochan,Volodymyr Turchenko,K. Tsahouridis,Th. Laopoulos +5 more
- 21 May 2001
TL;DR: The functional structure of the measurement channel in an intelligent sensing instrumentation system is described along with the procedures of component error correction and an experimental setup, implementing such methods in a multi-processing neural network configuration is presented.
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Development of a dynamically reprogrammable NCAP [network capable application processor]
Roman Kochan,Kyong-Ho Lee,Volodymyr Kochan,Anatoliy Sachenko +3 more
- 18 May 2004
TL;DR: The characteristics and requirements of the NCAP and the structure of a simple version of theNCAP, based on an MCS51 microcontroller, are proposed and the evaluation of the computing power of the proposed NCAP by simulation is described.
19
Neural Network Signal Integration from Thermogas-Dynamic Parameter Sensors for Helicopters Turboshaft Engines at Flight Operation Conditions
Serhii Vladov,Łukasz Ścisło,Валерій Сокуренко,О.М. Музичук,Victoria Vysotska,Л. Н. Блохин,Anatoliy Sachenko +6 more
TL;DR: It has been mathematically proven that the helicopter turboshaft engine parameters regulating neural network closed-loop integration using the filtering method, in comparison with traditional filters (median-recursive, recursive and median), significantly improve efficiency.
15
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