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Littérature scientifique sur le sujet « Speed of processing »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 11 février 2022

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Articles de revues sur le sujet "Speed of processing"

Owsley, Cynthia. "Visual processing speed." Vision Research 90 (September 2013): 52–56. http://dx.doi.org/10.1016/j.visres.2012.11.014.

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Kail, Robert, and Lynda K. Hall. "Processing speed, naming speed, and reading." Developmental Psychology 30, no. 6 (1994): 949–54. http://dx.doi.org/10.1037/0012-1649.30.6.949.

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Stanford, Terrence R., and Emilio Salinas. "Clocking perceptual processing speed." Communicative & Integrative Biology 3, no. 3 (2010): 287–89. http://dx.doi.org/10.4161/cib.3.3.11707.

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Kail, Robert. "Speed of Information Processing." Journal of School Psychology 38, no. 1 (2000): 51–61. http://dx.doi.org/10.1016/s0022-4405(99)00036-9.

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Kleinmann, Ava, Lawrence Lewandowski, Rebecca Sheffield, and Michael Gordon. "Processing Speed and ADHD." ADHD Report 13, no. 1 (2005): 6–8. http://dx.doi.org/10.1521/adhd.13.1.6.61561.

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Gould Electronics Ltd. "High speed processing oscilloscopes." NDT & E International 24, no. 6 (1991): 339. http://dx.doi.org/10.1016/0963-8695(91)90137-r.

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Rödiger, Wolf, Tobias Mühlbauer, Alfons Kemper, and Thomas Neumann. "High-speed query processing over high-speed networks." Proceedings of the VLDB Endowment 9, no. 4 (2015): 228–39. http://dx.doi.org/10.14778/2856318.2856319.

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KAIL, ROBERT, LYNDA K. HALL, and BRADLEY J. CASKEY. "Processing speed, exposure to print, and naming speed." Applied Psycholinguistics 20, no. 2 (1999): 303–14. http://dx.doi.org/10.1017/s0142716499002076.

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The aim of the present research was to determine the role of reading-related experience and processing speed on the time it took for children to name familiar stimuli. A total of 168 children, aged 7 to 13, were administered measures of global processing speed, title and author recognition, naming time, and reading ability. Naming times were predicted by age-related change in processing time but not by reading experience (as assessed by author and title recognition). The results are discussed in terms of the factors responsible for the relation between naming speed and reading.

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Clough, M., J. Dobbing, J. Stankovich, et al. "Cognitive processing speed deficits in multiple sclerosis: Dissociating sensorial and motor processing changes from cognitive processing speed." Multiple Sclerosis and Related Disorders 38 (February 2020): 101522. http://dx.doi.org/10.1016/j.msard.2019.101522.

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Baran, Sándor, András Horányi, and Dóra Nemoda. "Statistical post-processing of probabilistic wind speed forecasting in Hungary." Meteorologische Zeitschrift 22, no. 3 (2013): 273–82. http://dx.doi.org/10.1127/0941-2948/2013/0428.

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Thèses sur le sujet "Speed of processing"

Reisetter, Tressa. "Processing speed and disabilities in reading." Virtual Press, 2002. http://liblink.bsu.edu/uhtbin/catkey/1259306.

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This study primarily addressed two questions. The first question asked if individuals with learning disabilities in reading differ from individuals with other types of learning disabilities and from individuals with no clinical diagnosis on processing speed measured cognitively. The second question asked if subgroups within the two experimental groups with learning disabilities could be identified that conform to the Double Deficit Hypothesis (DDH) (Wolf & Bowers, 2000).Subjects were extracted from an existing data base that consisted of over 2000 individuals in the Mid-Western United States who had been referred for neuropsychological assessment, and were chosen for this study if they had been diagnosed with a learning disability or had received no clinical diagnosis. A total sample of 307 was available for the study, including 211 males and 96 females. The subjects were assigned to one of three groups by the researcher. One group consisted of individuals diagnosed with learning disabilities in reading, a second group consisted of individuals with learning disabilities in areas other than reading, and the third groups consisted of individuals who had received no clinical diagnosis. Scores on the WoodcockJohnson Tests of Cognitive Ability- Revised, and the Woodcock Johnson Tests of Achievement- Revised were used for analysis.The investigation into the first question found that the three groups differed significantly on a cognitive measure of processing speed. The literature search had found that an achievement measure of processing speed discriminated between the three types of individuals. The current findings imply that processing speed problems may be linked to cognitive abilities as well as academic abilities. The results for the second question were not as clear. However, a cluster analysis of both the group with learning disabilities in reading and the group with learning disabilities in areas other than reading found processing speed to be an important factor in describing these individuals' difficulties. For the first group, Wolf and Bowers (2000) Double Deficit Hypothesis was supported for processing speed, but not for phonological processing. For the other group, the DDH was supported for processing speed and phonological processing, but not for the double deficit.<br>Department of Educational Psychology

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Bennett, Susan Nicole. "Speed of information processing and mental retardation /." Title page, contents and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09ARPS/09arpsb472.pdf.

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Bowman, C. C. "High speed image processing for machine vision." Thesis, Cardiff University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383161.

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Lindfors, Martin. "Frequency Tracking for Speed Estimation." Licentiate thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149804.

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Estimating the frequency of a periodic signal, or tracking the time-varying frequency of an almost periodic signal, is an important problem that is well studied in literature. This thesis focuses on two subproblems where contributions can be made to the existing theory: frequency tracking methods and measurements containing outliers. Maximum-likelihood-based frequency estimation methods are studied, focusing on methods which can handle outliers in the measurements. Katkovnik’s frequency estimation method is generalized to real and harmonic signals, and a new method based on expectation-maximization is proposed. The methods are compared in a simulation study in which the measurements contain outliers. The proposed methods are compared with the standard periodogram method. Recursive Bayesian methods for frequency tracking are studied, focusing on the Rao-Blackwellized point mass filter (RBPMF). Two reformulations of the RBPMF aiming to reduce computational costs are proposed. Furthermore, the technique of variational approximate Rao-Blackwellization is proposed, which allows usage of a Student’s t distributed measurement noise model. This enables recursive frequency tracking methods to handle outliers using heavy-tailed noise models in Rao-Blackwellized filters such as the RBPMF. A simulation study illustrates the performance of the methods when outliers occur in the measurement noise. The framework above is applied to and studied in detail in two applications. The first application is on frequency tracking of engine sound. Microphone measurements are used to track the frequency of Doppler-shifted variants of the engine sound of a vehicle moving through an area. These estimates can be used to compute the speed of the vehicle. Periodogram-based methods and the RBPMF are evaluated on simulated and experimental data. The results indicate that the RBPMF has lower rmse than periodogram-based methods when tracking fast changes in the frequency. The second application relates to frequency tracking of wheel vibrations, where a car has been equipped with an accelerometer. The accelerometer measurements are used to track the frequency of the wheel axle vibrations, which relates to the wheel rotational speed. The velocity of the vehicle can then be estimated without any other sensors and without requiring integration of the accelerometer measurements. In situations with high signal-to-noise ratio (SNR), the methods perform well. To remedy situations when the methods perform poorly, an accelerometer input is introduced to the formulation. This input is used to predict changes in the frequency for short time intervals.<br>Periodiska signaler förekommer ofta i praktiken. I många tillämpningar är det intressant att försöka skatta frekvensen av dessa periodiska signaler, eller vibrationer, genom mätningar av dem. Detta kallas för frekvensskattning eller frekvensföljning beroende på om frekvensen är konstant eller varierar över tid. Två tillämpningar studeras i denna licentiatavhandling. Målet i båda tillämpningarna är att skatta hastigheten på fordon. Den första tillämpningen handlar om att följa frekvensen av ett fordons motorljud, när fordonet kör genom ett område där mikrofoner har blivit utplacerade. Man kan skatta ett fordons hastighet från motorljudet, vars frekvens beror på Dopplereffekten. Denna avhandling undersöker förbättrad följning av denna frekvens, vilket förbättrar skattningen av hastigheten. Två olika sätt för frekvensföljning används. Ett sätt är att anta att frekvensen är konstant inom korta tidsintervall och räkna ut en skattning av frekvensen. Ett annat sätt är att använda en matematisk modell som tar hänsyn till att frekvensen varierar över tid, och försöka följa den. För detta syfte föreslås det Rao-Blackwelliserade punktmassefiltret. Det är en metod som utnyttjar strukturen i den matematiska modellen av problemet för att erhålla bra prestanda och lägre krav på beräkningskraft. Resultaten visar att den föreslagna metoden förbättrar träffsäkerheten på frekvensföljningen i vissa fall, vilket kan förbättra prestanda för hastighetsskattningen. Den andra tillämpningen handlar om att skatta ett fordons hastighet med enbart en accelerometer (mätare av acceleration) fastsatt i chassit. Hjulvibrationer kan mätas av denna accelerometer. Frekvenserna av dessa vibrationer ges av hjulaxelns rotationshastighet. Om hjulradien är känd eller skattad så kan man räkna ut fordonets hastighet, så att man inte behöver använda externa mätningar som gps eller hjulhastighetsmätningar. Accelerationsmätningarna är brusiga och innehåller outliers, vilka är mätvärden som ibland slumpmässigt kraftigt skiljer sig från det förväntade. Därför studeras metoder som är konstruerade för att hantera dessa. Det föreslås en approximation till Rao-Blackwellisering för att kunna hantera dessa outliers. Det föreslås också en ny frekvensskattningsmetod baserad på expectation-maximization, vilket är ytterligare en metod som utnyttjar strukturer i matematiska modeller. En simuleringsstudie visar att metoderna har lägre genomsnittligt skattningsfel än standardmetoder. På insamlad experimentell data visas att metoderna ofta fungerar, men att de behöver kompletteras med en ytterligare komponent för död räkning (prognosvärden) med accelerometer för att öka antalet testfall där de erhåller godtagbar prestanda.

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Vadnais, Sarah. "Processing Speed in Attention-Deficit/Hyperactivity Disorder and the Predictors of Processing Speed in a Sample of ADHD and Controls." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1664.

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The purposes of the present study were to determine which aspects of processing speed are affected in Attention-Deficit/Hyperactivity Disorder (ADHD) and which cognitive and motoric skills predict processing speed performance. Results indicated that children with ADHD performed slower than controls on perceptual and visual-motor speed measures (Symbol Search and Coding) but not on reaction time or cognitive speed measures (Simple Reaction Time and Decision Speed). Those with ADHD-PI were particularly affected. Verbal working memory predicted Symbol Search, Coding and Decision Speed performance, while graphomotor speed predicted Coding, and fine motor dexterity predicted Decision Speed. Thus, children with ADHD may struggle on tasks with greater perceptual and visual-motor demands, which may be related to the inattention dimension. Furthermore, this study provides further evidence for the relationship between working memory and processing speed, especially central executive involvement in processing speed. Other theoretical and clinical implications are discussed for classroom and clinic interventions.

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Foag, Jürgen. "Speculative protocol processing for high-speed packet forwarding." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=972057714.

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Urso, Annmarie. "Processing Speed as a Predictor of Poor Reading." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195011.

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This study had three main purposes. First, the relationship between Processing Speed (Gs) and poor word recognition skills was examined. Second, various formats of processing speed tests that measure different types of processing speed (i.e. naming facility, perceptual speed, semantic speed, attention and concentration) were administered to determine what aspects of Gs were more strongly correlated with word reading performance. Pearson correlations and coefficients of determination were used to evaluate the strength of the relationships and the shared variance. Third, the study sample was evaluated to determine what percentage of the poor readers participating in the study had slow processing speed.Forty-four students in grades 1-3, ages six- to ten-years old were administered the Woodcock-Johnson III Achievement reading tests of Letter-Word Identification, Reading Fluency, and Word Attack. The subjects were additionally administered the Woodcock-Johnson III Cognitive Abilities tests of Verbal Comprehension, Visual-Auditory Learning, Sound Blending, Visual Matching, Numbers Reversed, Decision Speed, Rapid Picture Naming, Pair Cancellation, and Cross Out.The results of the study indicated processing speed, as measured by the Gs Cluster score, was strongly correlated with word reading, r = .749, r2=.56. The Gs tests of Visual Matching, (r = .663, r2 = .44) and Decision Speed (r = .811, r2 = .66) were most strongly correlated with poor word reading skill. The Basic Reading Skills Cluster and the Test of Letter-Word Identification were both moderately correlated at various strengths with different formats of Gs tests. Tests of Visual Matching, Rapid Picture Naming, Pair Cancellation and Cross Out all had a moderate, significant correlation.Lastly, 47% of the poor readers (SS<85 on any of the measures of>reading) also had low Gs scores (SS<85).The results from the study demonstrate the need for further exploration of the impact of poor Gs on the development of reading skills, as well as determination of the most effective interventions for poor readers with slow processing speed.

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Al-Besher, Badr M. N. "High speed architectures for signal and image processing." Thesis, Queen's University Belfast, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409483.

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Kshirsagar, Shirish Purushottam. "High speed image processing system using parallel DSPs." Thesis, Liverpool John Moores University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262245.

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黃君保 and Kwan-po Wong. "High-speed network interface for commodity SMP clusters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31225330.

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Livres sur le sujet "Speed of processing"

Kyllonen, Patrick C. Dimensions of information processing speed. Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Dailey, Daniel J. Video image processing to create a speed sensor. Washington State Dept. of Transportation, 2000.

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Hayhurst, Phyllis. Speed and accuracy in keyboarding. Longman, 1987.

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PAX computer: High-speed parallel processing and scientific computing. Addison-Wesley Publishing Co., 1989.

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Kyllonen, Patrick C. Knowledge and processing speed as determinants of associative learning. Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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Jurkowski, Jacek. High-speed generation of certain parametric space-curves. Institute of Computer Science, Polish Academy of Sciences, 1988.

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Holmes, Rieck Andrea, and Klemin V. Wayne, eds. Skillbuilding: Building speed and accuracy on the keyboard. Glencoe/McGraw-Hill, 1996.

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Holmes, Rieck Andrea, and Klemin V. Wayne, eds. Skillbuilding: Building speed and accuracy on the keyboard. 3rd ed. Glencoe/McGraw-Hill, 2003.

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Eide, Carole Hoffman. Skillbuilding: Building speed and accuracy on the keyboard. Gregg Division, McGraw-Hill, 1987.

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Larson, Lawrence E. Gallium-arsenide switched-capacitor circuits for high-speed signal processing. University of California, Los Angeles, 1986.

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Chapitres de livres sur le sujet "Speed of processing"

Dirk, Judith, and Florian Schmiedek. "Processing Speed." In The Wiley-Blackwell Handbook of Adulthood and Aging. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118392966.ch7.

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Sweet, Lawrence H. "Information Processing Speed." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1321.

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Lange, Rael T., and Sara M. Lippa. "Processing Speed Index." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1322.

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Soto, Timothy. "Processing Speed Index." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_246.

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Soto, Timothy. "Processing Speed Quotient." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_247.

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First, Michael B., Elizabeth Spencer, Elizabeth Spencer, et al. "Information Processing Speed." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_346.

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Sweet, Lawrence H. "Information Processing Speed." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1321.

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Lange, Rael T. "Processing Speed Index." In Encyclopedia of Clinical Neuropsychology. Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1322.

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Kraft, Jessica N., and Adam J. Woods. "Speed of Processing." In Encyclopedia of Gerontology and Population Aging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_722-1.

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Sweet, Lawrence H. "Information Processing Speed." In Encyclopedia of Clinical Neuropsychology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1321-2.

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Actes de conférences sur le sujet "Speed of processing"

Thadagoppula, Pranith Kumar, and Vikas Upadhyaya. "Speed detection using image processing." In 2016 International Conference on Computer, Control, Informatics and its Applications (IC3INA). IEEE, 2016. http://dx.doi.org/10.1109/ic3ina.2016.7863015.

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Sturrock, David T., and Glenn R. Drake. "Simulation for high speed processing." In the 28th conference. ACM Press, 1996. http://dx.doi.org/10.1145/256562.256706.

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Hernandez, Alain, Pascal Jesne, Marc Nicolaizeau, and Jacques Beullier. "Automatic Processing Of Doppler Laser Interferometry Records Using Image Processing Methods." In 16th International Congress on High Speed Photography and Photonics, edited by Michel L. Andre and Manfred Hugenschmidt. SPIE, 1985. http://dx.doi.org/10.1117/12.968026.

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Kawamae, O., T. Takeuchi, I. Kimura, Y. Nagai, and M. Nishioka. "A High Speed Signal Processing for Quadruple Speed CD-ROM." In IEEE International Conference on Consumer Electronics. IEEE, 1994. http://dx.doi.org/10.1109/icce.1994.582276.

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Yu, Wee K., In Seob Song, Eon S. Yoon, et al. "Digital image processing for thermal observation system." In High-Speed Photography and Photonics: 21st International Congress, edited by Ung Kim, Joon-Sung Chang, and Seung-Han Park. SPIE, 1995. http://dx.doi.org/10.1117/12.209655.

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HAMLIN, DARYLE. "High-speed data bus processing node." In Digital Avionics Systems Conference. American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4009.

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Gupta, Rohit, Rinku Shah, and Apurva Mhetre. "In-memory, high speed stream processing." In the 8th ACM International Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2611286.2611332.

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Dezong, Wang, and Fu Shan. "Digital Image Processing For Flow Visualization." In 18th Intl Congress on High Speed Photography and Photonics, edited by DaHeng Wang. SPIE, 1989. http://dx.doi.org/10.1117/12.969214.

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Hugenschmidt, Manfred, Ruediger Schmitt, and Marion Althaus. "High-speed diagnostics in laser material processing applications." In 22nd Int'l Congress on High-Speed Photography and Photonics, edited by Dennis L. Paisley and ALan M. Frank. SPIE, 1997. http://dx.doi.org/10.1117/12.273393.

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Rhee, Kyung T. "High-speed multispectral infrared imaging and data processing method." In High-Speed Photography and Photonics: 21st International Congress, edited by Ung Kim, Joon-Sung Chang, and Seung-Han Park. SPIE, 1995. http://dx.doi.org/10.1117/12.209632.

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Rapports d'organisations sur le sujet "Speed of processing"

Koffley, Lynn M. Real-Time Super-High-Speed-Processing. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada305394.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada277617.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada286483.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256654.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada260754.

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Fan, Howard. High Speed, Numerically Superior Signal Processing Algorithms. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370458.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada270406.

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Willson, Alan N., and Jr. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada250365.

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Willson, Jr, and Alan N. VLSI for High-Speed Digital Signal Processing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada267709.

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Kailath, Thomas. Algorithms and Architectures for High Speed Signal Processing. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226203.

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