LEADER 02393oam 2200565 450 001 9910709756103321 005 20180627132549.0 035 $a(CKB)5470000002472685 035 $a(OCoLC)688134852 035 $a(EXLCZ)995470000002472685 100 $a20101130j200902 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe effects of commercial electronic variable message signs (CEVMS) on driver attention and distraction: an update /$fauthor(s) John A. Molino [and four others] 210 1$aMcLean, VA :$cU.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center,$dFebruary 2009. 215 $a1 online resource (v, 87 pages) 300 $a"February 2009." 300 $a"Publication no. FHWA-HRT-09-018." 300 $a"HRDS-07/02-09(WEB)E"--Page 4 of cover. 300 $a"Performing organization: Federal Highway Administration, Office of Safety Research and Development, Human Centered Systems Team"--Technical report documentation page. 300 $a"Sponsoring agency: Federal Highway Administration, Office of Real Estate Services"--Technical report documentation page. 300 $aIncludes tables. 320 $aIncludes bibliographical references. 517 $aEffects of commercial electronic variable message signs 606 $aBillboards 606 $aDistracted driving 606 $aAutomobile drivers$xPsychological aspects 606 $aTraffic safety 615 0$aBillboards. 615 0$aDistracted driving. 615 0$aAutomobile drivers$xPsychological aspects. 615 0$aTraffic safety. 700 $aMolino$b John A.$01418062 712 02$aUnited States.$bFederal Highway Administration.$bHuman Centered Systems Team. 712 02$aUnited States.$bFederal Highway Administration.$bOffice of Real Estate Services, 712 02$aTurner-Fairbank Highway Research Center, 801 0$bFHATR 801 1$bFHATR 801 2$bFHATR 801 2$bOCLCQ 801 2$bOCLCF 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910709756103321 996 $aThe effects of commercial electronic variable message signs (CEVMS) on driver attention and distraction: an update$93528381 997 $aUNINA LEADER 04365nam 2201189z- 450 001 9910557471903321 005 20220111 035 $a(CKB)5400000000043079 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77160 035 $a(oapen)doab77160 035 $a(EXLCZ)995400000000043079 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in Sensors and Sensing for Technical Condition Assessment and NDT 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (216 p.) 311 08$a3-0365-2679-X 311 08$a3-0365-2678-1 330 $aThe adequate assessment of key apparatus conditions is a hot topic in all branches of industry. Various online and offline diagnostic methods are widely applied to provide early detections of any abnormality in exploitation. Furthermore, different sensors may also be applied to capture selected physical quantities that may be used to indicate the type of potential fault. The essential steps of the signal analysis regarding the technical condition assessment process may be listed as: signal measurement (using relevant sensors), processing, modelling, and classification. In the Special Issue entitled "Advances in Sensors and Sensing for Technical Condition Assessment and NDT", we present the latest research in various areas of technology. 606 $aTechnology: general issues$2bicssc 610 $a3D sensing 610 $aacoustic emission 610 $aAE sensor 610 $aattenuation 610 $aboundary conditions 610 $acircuit modeling 610 $acoefficient of thermal expansion 610 $acompounding Nakagami imaging 610 $acontrast-enhanced ultrasound 610 $acurrent measurement 610 $adefect identification 610 $aeddy current 610 $aelastic waves 610 $aelectrodynamic accelerators 610 $afeature extraction 610 $aFizeau fiber interferometer 610 $afrequency analysis 610 $agenetic algorithm 610 $ageometric layout of railway track 610 $aGNSS mobile measurements 610 $ahigh-current pulses 610 $ahigh-current shunts 610 $aimage processing 610 $aincubation 610 $ainfrasound correlation analysis 610 $ainfrasound measurement system 610 $ainsulation 610 $ainverse problem 610 $aknee joint 610 $alaser ultrasound 610 $alateral temperature gradient 610 $alow-frequency noise 610 $alow-frequency sensor 610 $amachine learning 610 $ameasuring scale 610 $amuscle perfusion 610 $an/a 610 $aNakagami parameter 610 $aneural network 610 $anon-destructive evaluation 610 $anon-invasive examination 610 $aOLTC 610 $apower transformer 610 $aprincipal component analysis 610 $apulse compression 610 $aROC curve 610 $aRogowski coil 610 $aroute's polygon 610 $ascattering 610 $asolar radiation intensity 610 $aspectral features 610 $aspectrum 610 $asupervised classification 610 $atemperature field 610 $atemperature monitoring 610 $athermoelastic deformation 610 $atrack axis identification 610 $atramway loop 610 $aultrasonic testing 610 $aVAG 610 $avibroarthography 610 $awavelet transform 610 $awind turbine 615 7$aTechnology: general issues 700 $aBoczar$b Tomasz$4edt$01318485 702 $aKunicki$b Micha?$4edt 702 $aWotzka$b Daria$4edt 702 $aNagi$b ?ukasz$4edt 702 $aKozio?$b Micha?$4edt 702 $aBoczar$b Tomasz$4oth 702 $aKunicki$b Micha?$4oth 702 $aWotzka$b Daria$4oth 702 $aNagi$b ?ukasz$4oth 702 $aKozio?$b Micha?$4oth 906 $aBOOK 912 $a9910557471903321 996 $aAdvances in Sensors and Sensing for Technical Condition Assessment and NDT$93033315 997 $aUNINA