Delay measurement system for real-time serial data streams

Author(s):  
Paulo Bartolomeu ◽  
Valter Silva ◽  
Jose Fonseca
2014 ◽  
Vol 644-650 ◽  
pp. 1079-1084
Author(s):  
Jia Liu ◽  
Han Zhou Chen ◽  
Xi’an Zhu

This paper describes an implementation and validation result of a interface design for wearable oxygen saturation sensor systems. The system mainly consists of medical sensor module, RS232 module and ARM-based embedded software, the medical sensor module used for receiving, amplifying, filtering the signals of oxygen saturation and pulse in real time,RS232 module implementing serial communication driver and serial data receiver. The part of software is developed by Visual Studio 2005 VC#, adopts Windows CE as its platform which supports multi-threaded, database, communication and instantaneity. The typical characteristics of this system are its portable interface, easy operating way and software scalability.


2011 ◽  
Vol 3 (9) ◽  
pp. 222-225
Author(s):  
T. D. Shep T. D. Shep ◽  
◽  
Prof. N. R. Kolhare Prof. N. R. Kolhare ◽  
Prof. R. K. Kanhe Prof. R. K. Kanhe
Keyword(s):  

Author(s):  
LAKSHMI PRANEETHA

Now-a-days data streams or information streams are gigantic and quick changing. The usage of information streams can fluctuate from basic logical, scientific applications to vital business and money related ones. The useful information is abstracted from the stream and represented in the form of micro-clusters in the online phase. In offline phase micro-clusters are merged to form the macro clusters. DBSTREAM technique captures the density between micro-clusters by means of a shared density graph in the online phase. The density data in this graph is then used in reclustering for improving the formation of clusters but DBSTREAM takes more time in handling the corrupted data points In this paper an early pruning algorithm is used before pre-processing of information and a bloom filter is used for recognizing the corrupted information. Our experiments on real time datasets shows that using this approach improves the efficiency of macro-clusters by 90% and increases the generation of more number of micro-clusters within in a short time.


1991 ◽  
Vol 29 (1) ◽  
pp. 98-101 ◽  
Author(s):  
G. McCurrach ◽  
A. L. Evans ◽  
D. C. Smith ◽  
M. T. Gordon ◽  
M. B. D. Cooke

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