Warning: Table './science/watchdog' is marked as crashed and should be repaired query: INSERT INTO watchdog (uid, type, message, variables, severity, link, location, referer, hostname, timestamp) VALUES (0, 'php', '%message in %file on line %line.', 'a:4:{s:6:\"%error\";s:12:\"user warning\";s:8:\"%message\";s:173:\"Table './science/sessions' is marked as crashed and should be repaired\nquery: SELECT COUNT(sid) AS count FROM sessions WHERE timestamp >= 1781851575 AND uid = 0\";s:5:\"%file\";s:63:\"/var/www/html/science/science.uni-obuda.hu/includes/session.inc\";s:5:\"%line\";i:120;}', 3, '', 'http://science.uni-obuda.hu/node/1731', '', '216.73.216.140', 1781852475) in /var/www/html/science/science.uni-obuda.hu/includes/database.mysql.inc on line 135 Warning: Table './science/watchdog' is marked as crashed and should be repaired query: INSERT INTO watchdog (uid, type, message, variables, severity, link, location, referer, hostname, timestamp) VALUES (0, 'php', '%message in %file on line %line.', 'a:4:{s:6:\"%error\";s:12:\"user warning\";s:8:\"%message\";s:184:\"Table './science/sessions' is marked as crashed and should be repaired\nquery: SELECT COUNT(DISTINCT s.uid) FROM sessions s WHERE s.timestamp >= 1781851575 AND s.uid > 0\";s:5:\"%file\";s:67:\"/var/www/html/science/science.uni-obuda.hu/modules/user/user.module\";s:5:\"%line\";i:776;}', 3, '', 'http://science.uni-obuda.hu/node/1731', '', '216.73.216.140', 1781852475) in /var/www/html/science/science.uni-obuda.hu/includes/database.mysql.inc on line 135 Warning: Table './science/watchdog' is marked as crashed and should be repaired query: INSERT INTO watchdog (uid, type, message, variables, severity, link, location, referer, hostname, timestamp) VALUES (0, 'php', '%message in %file on line %line.', 'a:4:{s:6:\"%error\";s:7:\"warning\";s:8:\"%message\";s:138:\"realpath(): open_basedir restriction in effect. File(/tmp) is not within the allowed path(s): (/var/www/html/science/science.uni-obuda.hu)\";s:5:\"%file\";s:60:\"/var/www/html/science/science.uni-obuda.hu/includes/file.inc\";s:5:\"%line\";i:200;}', 3, '', 'http://science.uni-obuda.hu/node/1731', '', '216.73.216.140', 1781852475) in /var/www/html/science/science.uni-obuda.hu/includes/database.mysql.inc on line 135 Warning: Table './science/watchdog' is marked as crashed and should be repaired query: INSERT INTO watchdog (uid, type, message, variables, severity, link, location, referer, hostname, timestamp) VALUES (0, 'php', '%message in %file on line %line.', 'a:4:{s:6:\"%error\";s:7:\"warning\";s:8:\"%message\";s:138:\"realpath(): open_basedir restriction in effect. File(/tmp) is not within the allowed path(s): (/var/www/html/science/science.uni-obuda.hu)\";s:5:\"%file\";s:60:\"/var/www/html/science/science.uni-obuda.hu/includes/file.inc\";s:5:\"%line\";i:200;}', 3, '', 'http://science.uni-obuda.hu/node/1731', '', '216.73.216.140', 1781852475) in /var/www/html/science/science.uni-obuda.hu/includes/database.mysql.inc on line 135 Situation dependant evaluation of regression-type signal processing problems | science.uni-obuda.hu
Ugrás a tartalomra

Situation dependant evaluation of regression-type signal processing problems

CímSituation dependant evaluation of regression-type signal processing problems
Közlemény típusaConference Paper
Kiadás éve2010
Kiadás nyelveEnglish
DOI10.1109/SOFA.2010.5565594
Oldalszám225 - 228
SzerzőkVárkonyi, T. A.
Konferencia neve4th International Workshop on Soft Computing Applications (SOFA 2010)
Konferencia helyszíneArad, Romania
ISBN-szám978-1-4244-7985-6
Összefoglalás

Regression-type algorithms are widely used for system modeling and characterization. There are applications where such characterizations are to be performed “on-line” to support control mechanisms and other decisions. In embedded autonomous systems robustness considerations ask for techniques, which, in addition to reflecting the actual state of the system and its environment, can continuously provide immediate signal processing results even in case of abrupt changes and/or temporal shortage of computational power and/or loss of some data. There is a need for robust techniques called “situation dependant” or “anytime” algorithms, which can provide short response time and be very flexible with respect to the available input information and computational power. The paper presents some considerations concerning such flexibility in the case of regression-type algorithms.