Severe Storm Pattern Recognition from Meteorological Satellite Data. A Report on Current Status and Prospects.

The high visibility of fuzzy logic and mathematics based on fuzzy logic is primarily due to their highly successful applications in many areas of human affairs. The aim of this chapter is to characterize the evolution and current status of these applications. Covered are applications in the various areas of engineering, natural, social and earth sciences, psychology, medicine, management and business, decision making, pattern recognition, image analysis, risk analysis, music, among others. In each of these areas, the significance of using fuzzy logic and the associated mathematics is critically assessed. It is argued that in some application areas, such as psychology or quantum mechanics, a cooperation between researchers in fuzzy logic and those in the application domain, leading possibly to new types of nonstandard fuzzy sets, is essential for further progress.

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Free software libraries for geoprocessing and vector statistics of meteorological satellite data

2019 XVIII Workshop on Information Processing and Control (RPIC) ◽

10.1109/rpic.2019.8882177 ◽

2019 ◽

Author(s):

Andres Lighezzolo ◽

Agustin Martina ◽

Gonzalo Zigaran ◽

Andres Lopez ◽

Andres Solarte ◽

...

Keyword(s):

Satellite Data ◽

Free Software ◽

Software Libraries ◽

Meteorological Satellite

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Recent Advances in Satellite Data Rescue

Bulletin of the American Meteorological Society ◽

10.1175/bams-d-15-00194.1 ◽

2017 ◽

Vol 98 (7) ◽

pp. 1471-1484 ◽

Cited By ~ 7

Author(s):

Paul Poli ◽

Dick P. Dee ◽

Roger Saunders ◽

Viju O. John ◽

Peter Rayer ◽

...

Keyword(s):

Satellite Data ◽

Data Access ◽

Easy Access ◽

In Situ Sensors ◽

In Situ Observations ◽

Satellite Meteorology ◽

Accurate Observation ◽

Meteorological Satellite ◽

Unpublished Information

Abstract To better understand the impacts of climate change, environmental monitoring capabilities must be enhanced by deploying additional and more accurate satellite- and ground-based (including in situ) sensors. In addition, reanalysis of observations collected decades ago but long forgotten can unlock precious information about the recent past. Historical, in situ observations mainly cover densely inhabited areas and frequently traveled routes. In contrast, large selections of early meteorological satellite data, waiting to be exploited today, provide information about remote areas unavailable from any other source. When initially collected, these satellite data posed great challenges to transmission and archiving facilities. As a result, data access was limited to the main teams of scientific investigators associated with the instruments. As archive media have aged, so have the mission scientists and other pioneers of satellite meteorology, who sometimes retired in possession of unique and unpublished information. This paper presents examples of recently recovered satellite data records, including satellite imagery, early infrared hyperspectral soundings, and early microwave humidity soundings. Their value for climate applications today can be realized using methods and techniques that were not yet available when the data were first collected, including efficient and accurate observation simulators and data assimilation into reanalyses. Modern technical infrastructure allows serving entire mission datasets online, enabling easy access and exploration by a broad range of users, including new and old generations of climate scientists.

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Diagnostics of Product by Vision System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.308.33 ◽

2013 ◽

Vol 308 ◽

pp. 33-38 ◽

Cited By ~ 2

Author(s):

Kamil Židek ◽

Eva Rigasová

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Vision System ◽

Industrial Robot ◽

Current Status ◽

Basic Algorithm ◽

Red Color ◽

Plastic Parts ◽

Modular Education ◽

Algorithm Implementation

This article describes the vision system, which is designed for diagnostics of defects in casted products. In the first part an overview about image processing, edge and pattern recognition algorithms and current status in available free and commercial vision libraries is found. For the described task we selected open source Aforge .NET library. The next part describes common defects in casted products. Modular education system MPS 500 from Festo with conveyor and palette with plastic parts is used for simulation of production system. This system contains an industrial robot which can be used for sorting defective parts. The selected vision library is used for two level diagnostics of algorithm implementation. The first level algorithm detects position of part, its dimensions and edge disturbances. The second algorithm detects any defects inside of a part. The basic algorithm is presented only for circular shape with red color texture, but can be easily extended to other basic shapes by shape detector.

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