Local detection of exclusive global predicates

Author(s):  
Eunjung Lee
2005 ◽  
Vol 10 (1/2) ◽  
pp. 133-149 ◽  
Author(s):  
Ioannis Chatzigiannakis ◽  
Sotiris Nikoletseas ◽  
Paul Spirakis
Keyword(s):  

Nano Letters ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 5803-5807 ◽  
Author(s):  
Rémy Pawlak ◽  
Thilo Glatzel ◽  
Vincent Pichot ◽  
Loïc Schmidlin ◽  
Shigeki Kawai ◽  
...  

Időjárás ◽  
2021 ◽  
Vol 125 (2) ◽  
pp. 167-192
Author(s):  
Karolina Szabóné André ◽  
Judit Bartholy ◽  
Rita Pongrácz ◽  
József Bór

Cold air pool (CAP) is a winter-time, anticyclonic weather event: a cold air layer confined by the topography and warm air aloft. If its duration is more than one day, then it is called persistent cold air pool (PCAP). CAPs are mainly examined in small basins and valleys. Fewer studies pay attention to PCAPs in much larger basins (with an area of more than 50 000 km2), and it is not evident how effective the existing numerical definitions are in cases of extensive PCAP events. A possible method of identifying PCAPs in a large basin is to identify PCAP weather conditions at different measuring sites across the basin. If there are PCAP weather conditions at most of the sites, then it is likely to be an extensive PCAP. In this work, we examine which of the documented CAP definitions can be used for reliable local detection of CAP conditions. Daily weather reports and meteorological data from two locations in the 52 000 km2 sized Great Hungarian Plain have been used to obtain a reference set of days with PCAP weather conditions during two consecutive winter months. Several numerical CAP definitions were compared for their performance in recognizing the presence of PCAP weather conditions using radiosonde measurements and reanalysis data. The lowest error was produced by using the heat deficit (HD) method. So this is considered the most suitable method for local identification of PCAPs in the Great Hungarian Plain.


Author(s):  
Paweł Kowalski ◽  
Piotr Tojza

The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of straight lines with a slope from -45˚ to 45˚.  Also, it can be used for curve detection which shape is approximated with the short straight sections. The new method is characterized by a constant computational cost regardless of the number of set pixels. The convolution is performed using the logical conjunction and sum operations. Moreover, design of the developed filter and the method of filtration allows for parallelization. Due to constant computation cost, the new method is suitable for implementation in the hardware structure of real-time image processing systems.


2020 ◽  
Vol 44 (9) ◽  
Author(s):  
Mohamed T. Bennai ◽  
Smaine Mazouzi ◽  
Zahia Guessoum ◽  
Mohamed Mezghiche ◽  
Stéphane Cormier

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