High-speed real-time data classification and cell sorting using discriminant functions and probabilities of misclassification for stem cell enrichment and tumor purging

1998 ◽  
Author(s):  
James F. Leary ◽  
Scott R. McLaughlin ◽  
James A. Hokanson ◽  
Judah I. Rosenblatt
Keyword(s):  
Stem Cell ◽  
Real Time ◽  
Cell Sorting ◽  
High Speed ◽  
Data Classification ◽  
Discriminant Functions ◽  
Time Data ◽  
Real Time Data ◽  
Cell Enrichment

Windows High-Speed Drawing Technology Research

2013 ◽  
Vol 441 ◽  
pp. 660-665 ◽  
Author(s):  
Zhen Dong Chou
Keyword(s):  
Real Time ◽  
High Speed ◽  
Technology Research ◽  
Time Data ◽  
Real Time Data ◽  
Real Time Data Processing ◽  
Graphics Engine ◽  
Realtime System ◽  
Huge Challenge ◽  
Drawing Method

The display speed of image and large real-time data processing is a huge challenge for realtime system. This paper completed a thorough research on existing drawing technology on the platform of windows; analyzed adaptive characteristics of using the general high-speed drawing techniques for high speed drawing and its merits and demerits. Finally, through a lot of experiments and simulations of high speed drawing process after optimization and combination, tested their drawing performance and efficiency in order to select an appropriate drawing method to develop a high-speed graphics engine for large real-time data.

An Intelligent and Secure Framework for Wireless Information Technology in Healthcare for User and Data Classification in Hospitals

2019 ◽  
pp. 248-276
Author(s):  
Masoud Mohammadian ◽  
Dimitrios Hatzinakos ◽  
Petros Spachos ◽  
Ric Jentzsh
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Patient Data ◽  
Hospital Environment ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Frequency Identification

Real time data acquisition and evaluation are required to save lives. Such data with utilization and application of the latest technologies in hospitals around the world can improve patient treatments and well beings. The delivery of patient's medical data needs to be secure. Secure and accurate real time data acquisition and analysis of patient data and the ability to update such data will assist in reducing cost while improving patient's care. A wireless framework based on radio frequency identification (RFID) can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of a framework that can be considered for secure patient data collection and communications in a hospital environment. A new method for data classification and access authorization has also been developed, which will assist in preserving privacy and security of data. Several Case studies are offered to show the effectiveness of this framework.

Data Reduction Techniques for Near Real-Time Decision Making in Fall Prediction Systems

2018 ◽  
pp. 52-64
Author(s):  
Masoud Hemmatpour ◽  
Renato Ferrero ◽  
Filippo Gandino ◽  
Bartolomeo Montrucchio ◽  
Maurizio Rebaudengo
Keyword(s):  
Real Time ◽  
High Speed ◽  
Time Data ◽  
Reduction Techniques ◽  
Fall Prediction ◽  
Real Time Data ◽  
Data Volume ◽  
Prediction Systems ◽  
Unintentional Falls ◽  
Health Service Costs

Unintentional falls are a frequent cause of hospitalization that mostly increases health service costs due to injuries. Fall prediction systems strive to reduce injuries and provide fast help to the users. Typically, such systems collect data continuously at a high speed through a device directly attached to the user. Whereas such systems are implemented in devices with limited resources, data volume is significantly important. In this chapter, a real-time data analyzer and reducer is proposed in order to manage the data volume of fall prediction systems.

An Intelligent and Secure Framework for Wireless Information Technology in Healthcare for User and Data Classification in Hospitals

2016 ◽  
pp. 452-479
Author(s):  
Masoud Mohammadian ◽  
Dimitrios Hatzinakos ◽  
Petros Spachos ◽  
Ric Jentzsh
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Patient Data ◽  
Hospital Environment ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Frequency Identification

Real time data acquisition and evaluation are required to save lives. Such data with utilization and application of the latest technologies in hospitals around the world can improve patient treatments and well beings. The delivery of patient's medical data needs to be secure. Secure and accurate real time data acquisition and analysis of patient data and the ability to update such data will assist in reducing cost while improving patient's care. A wireless framework based on radio frequency identification (RFID) can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of a framework that can be considered for secure patient data collection and communications in a hospital environment. A new method for data classification and access authorization has also been developed, which will assist in preserving privacy and security of data. Several Case studies are offered to show the effectiveness of this framework.

FPGA+USB-Based Real-Time Data Processing System for Defects Inspection by CCD Scanning

2013 ◽  
Vol 278-280 ◽  
pp. 749-752 ◽  
Author(s):  
Peng Wang ◽  
Chi Zhong Wang ◽  
Ze Sen Liu ◽  
Xu Han ◽  
Cao Wang Si ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Processing System ◽  
Data Processing System ◽  
Time Data ◽  
Defects Inspection ◽  
Signal Characteristics ◽  
Real Time Data ◽  
Real Time Data Processing ◽  
Hardware Circuit

In this paper, the real-time defects inspection was implemented via use of paralleled structure and high-speed operation of FPGA. The hardware circuit based on FPGA was established. According to signal characteristics of polymeric film defects, the preprocessing scheme of defect images based on FPGA was designed. The defect data were packed according to the defined format. Data processed were transferred to PC through USB2.0 real-timely to reconstruct defect microscopic images. The quantity of transferred data was decreased tremendously by this method. The inspecting speed was greatly improved.

scholarly journals An FPGA Platform for Next-Generation Grating Encoders

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2266
Author(s):  
Yaodong Han ◽  
Kai Ni ◽  
Xinghui Li ◽  
Guanhao Wu ◽  
Kangning Yu ◽  
...  
Keyword(s):  
Data Processing ◽  
Real Time ◽  
High Speed ◽  
Displacement Measurement ◽  
Time Data ◽  
Order Error ◽  
Real Time Data ◽  
Calculation System ◽  
Real Time Data Processing ◽  
Processing Platform

Among various nanometer-level displacement measurement methods, grating interferometry-based linear encoders are widely used due to their high robustness, relatively low cost, and compactness. One trend of grating encoders is multi-axis measurement capability for simultaneous precision positioning and small order error motion measurement. However, due to both lack of suitable hardware data processing platform and of a real-time displacement calculation system, meeting the requirements of real-time data processing while maintaining the nanometer order resolutions on all these axes is a challenge. To solve above-mentioned problem, in this paper we introduce a design and experimental validation of a field programmable gate array (FPGA)-cored real-time data processing platform for grating encoders. This platform includes the following functions. First, a front-end photodetector and I/V conversion analog circuit are used to realize basic analog signal filtering, while an eight-channel parallel, 16-bit precision, 200 kSPS maximum acquisition rate Analog-to-digital (ADC) is used to obtain digital signals that are easy to process. Then, an FPGA-based digital signal processing platform is implemented, which can calculate the displacement values corresponding to the phase subdivision signals in parallel and in real time at high speed. Finally, the displacement result is transferred by USB2.0 to the PC in real time through an Universal Asynchronous Receiver/Transmitter (UART) serial port to form a complete real-time displacement calculation system. The experimental results show that the system achieves real-time data processing and displacement result display while meeting the high accuracy of traditional offline data solution methods, which demonstrates the industrial potential and practicality of our absolute two-dimensional grating scale displacement measurement system.

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