Theoretical basis and software implementation of contour analysis of cardiosignals in real time

1999 ◽  
Vol 33 (1) ◽  
pp. 27-31
Author(s):  
V. A. Kalantar ◽  
A. G. Arakcheev ◽  
V. P. Gundarov
Keyword(s):  
Real Time ◽  
Theoretical Basis ◽  
Software Implementation ◽  
Contour Analysis

The Design of Yield Monitor Device of Tomato Harvester

2014 ◽  
Vol 602-605 ◽  
pp. 1782-1786
Author(s):  
Ming Chang Chen ◽  
Hong Wen Zhang
Keyword(s):  
Real Time ◽  
Theoretical Basis ◽  
Structural Characteristics ◽  
Three Dimensional ◽  
Working Environment ◽  
Yield Monitor ◽  
Technical Requirements ◽  
Working Principle ◽  
Monitor Device ◽  
Yield Monitoring

To solve the problem that yield monitoring cannot be done in real time during tomato harvesting in existing technology, a real-time yield monitor device on tomato harvester is designed by an three-dimensional software which is named Solidworks. This article describes the all structural characteristics and working principle of the device. Weighing belt, rollers and three kinds of sensors of the device are mainly designed and selected based on the working environment and technical requirements. The design of yield monitor device promotes popularization of the technology of tomato harvesting yield monitor on tomato harvesting machinery, makes the process of yield monitor in real time during tomato harvest realize automated, intelligently and informationized and provides a theoretical basis for the further study of tomato harvester monitoring technology.

A Real-Time Microprocessor-Based ECG Contour Analysis System Utilizing Decision Tables

1980 ◽  
Vol BME-27 (7) ◽  
pp. 358-363 ◽  
Author(s):  
Thomas M. Murray ◽  
Warren T. Jones ◽  
Cathy Sanders
Keyword(s):  
Real Time ◽  
Contour Analysis ◽  
Analysis System ◽  
Decision Tables

scholarly journals Effective Analysis of an Iterative Median Filter-Hardware and Software Perspective

2019 ◽  
Vol 8 (3) ◽  
pp. 5580-5583
Keyword(s):  
Image Quality ◽  
Real Time ◽  
Median Filter ◽  
Iteration Process ◽  
Software Implementation ◽  
Quality Enhancement ◽  
Image Quality Enhancement ◽  
Key Factor ◽  
Effective Analysis

Image quality enhancement is a very predominant domain of discussion as the complexity of system increases, the software implementation becomes a key factor but it is not always reliable to use the approach for adaptable applications such as medical, military or real time purpose. In order to address such scenarios it is necessary to have a reconfigurable and an adaptable implementation. In this paper we have addressed the hardware modeling of a median filter using double iteration process. The iterative median filter is implemented on an Artix-7 FPGA.

scholarly journals The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method

2019 ◽  
Author(s):  
Francisco J. Tapiador ◽  
Cecilia Marcos ◽  
Juan Manuel Sancho
Keyword(s):  
Physical Properties ◽  
Real Time ◽  
Theoretical Basis ◽  
Short Range ◽  
Second Generation ◽  
Rainfall Rate ◽  
Convective Rainfall ◽  
Object Based

The Convective Rainfall Rate from Cloud Physical Properties (CRPh) for Meteosat Second Generation Satellites is a day-only precipitation algorithm developed at the Spanish Meteorological Agency (AEMET) for EUMETSAT’ Satellite Application Facility in support to Nowcasting and Very Short Range Forecasting (NWC SAF). It is therefore mainly intended to provide input for monitoring and near-real-time forecasts for the next few hours. This paper critically discusses the theoretical basis of the algorithm with special emphasis in the empirical values and assumptions in the microphysics of precipitation and compares the performances of the CRPh with its antecessor, the Convective Rainfall Rate algorithm (CRR), using an object-based method. The analyses show that AEMET’s CRPh is physically consistent and that outperforms the CRR. The applicability of the algorithm for nowcasting and the challenges to evolve the product to an all-day algorithm are also presented.

scholarly journals The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method

2019 ◽  
Vol 11 (5) ◽  
pp. 527 ◽  
Author(s):  
Francisco Tapiador ◽  
Cecilia Marcos ◽  
Juan Sancho
Keyword(s):  
Physical Properties ◽  
Real Time ◽  
Theoretical Basis ◽  
Short Range ◽  
Second Generation ◽  
Rainfall Rate ◽  
Convective Rainfall ◽  
Object Based

The convective rainfall rate from cloud physical properties (CRPh) algorithm for Meteosat second-generation satellites is a day-only precipitation algorithm developed at the Spanish Meteorological Agency (AEMET) for EUMETSAT’ Satellite Application Facility in support of nowcasting and very short-range forecasting (NWC SAF). It is therefore mainly intended to provide input for monitoring and near-real-time forecasts for a few hours. This letter critically discusses the theoretical basis of the algorithm with special emphasis on the empirical values and assumptions in the microphysics of precipitation, and compares the qualitative performances of the CRPh with its antecessor, the convective rainfall rate algorithm (CRR), using an object-based method applied to a case-study. The analyses show that AEMET’s CRPh is physically consistent and outperforms the CRR. The applicability of the algorithm for nowcasting and the challenges of improving the product to an all-day algorithm are also presented.

DIFFERENTIAL SHAPE STATISTICAL ANALYSIS

2007 ◽  
Vol 05 (01) ◽  
pp. 145-157 ◽  
Author(s):  
YUFENG CHEN ◽  
MANDUN ZHANG ◽  
PENG LU ◽  
YANGSHENG WANG
Keyword(s):  
Statistical Analysis ◽  
Real Time ◽  
Structural Properties ◽  
Statistical Approach ◽  
Mean Shift ◽  
Scale Space ◽  
Contour Analysis ◽  
Shift Method ◽  
Contour Segment ◽  
Curvature Scale Space

A novel statistical approach that involves differential shape is proposed to analyze contour segments. First, a moment-based algorithm to represent the differential contour segment in an efficient way is introduced. Then, a curvature mean-shift method is adopted to search for the salient features. An optimized function is also developed to segment a contour into parts based on its structural properties. Compared with some other methods used in CSS (Curvature Scale Space) and shock graphs, our method is more powerful for shape contour analysis, especially for the incomplete or occluded contours. Experiments show that our method can track salient parts in real-time and give a judgment of the basic shape properties such as symmetry.

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