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Journal articles on the topic 'The recorded data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Tellier, Nicolas, and Steve Wilcox. "Confidence in data recorded with land seismic recorders." First Break 36, no. 1 (January 1, 2018): 53–59. http://dx.doi.org/10.3997/1365-2397.n0062.

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2

Brimicombe, Allan. "Analysing Police-Recorded Data." Legal Information Management 16, no. 2 (June 2016): 71–77. http://dx.doi.org/10.1017/s1472669616000207.

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AbstractThe quarterly bulletins on crime statistics in England and Wales are compiled from two sets of data: crime survey and police-recorded crime. Whilst the former is considered to give the most reliable trends, the latter has a greater level detail for a fuller spectrum of crimes types. This paper by Allan Brimicombe, explores the advantages and problems of analysing police-recorded data for the insights they contain. This is illustrated by examples from an analysis of domestic violence.
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3

Madokoro, Hirokazu, Kazuhito Sato, and Nobuhiro Shimoi. "Category Maps Describe Driving Episodes Recorded with Event Data Recorders." Machine Learning and Knowledge Extraction 1, no. 1 (March 12, 2018): 43–63. http://dx.doi.org/10.3390/make1010003.

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This study was conducted to create driving episodes using machine-learning-based algorithms that address long-term memory (LTM) and topological mapping. This paper presents a novel episodic memory model for driving safety according to traffic scenes. The model incorporates three important features: adaptive resonance theory (ART), which learns time-series features incrementally while maintaining stability and plasticity; self-organizing maps (SOMs), which represent input data as a map with topological relations using self-mapping characteristics; and counter propagation networks (CPNs), which label category maps using input features and counter signals. Category maps represent driving episode information that includes driving contexts and facial expressions. The bursting states of respective maps produce LTM created on ART as episodic memory. For a preliminary experiment using a driving simulator (DS), we measure gazes and face orientations of drivers as their internal information to create driving episodes. Moreover, we measure cognitive distraction according to effects on facial features shown in reaction to simulated near-misses. Evaluation of the experimentally obtained results show the possibility of using recorded driving episodes with image datasets obtained using an event data recorder (EDR) with two cameras. Using category maps, we visualize driving features according to driving scenes on a public road and an expressway.
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4

Min, Keonhee, and Akira Ando. "Analysis on Characteristics of Dangerous Driving Events via Recorded Data of Drive-Recorder." Transportation Research Procedia 48 (2020): 1342–63. http://dx.doi.org/10.1016/j.trpro.2020.08.164.

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5

Cooper, A. P. R. "Interface Tracking in Digitally Recorded Glaciological Data." Annals of Glaciology 9 (1987): 50–54. http://dx.doi.org/10.1017/s0260305500000379.

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As more data are recorded in digital form the importance of automatically extracting parameters of glaciological significance increases. This paper addresses the problem, with particular reference to tracking bedrock or internal reflectors in digitally recorded Radio Echo Sounding (RES) data. It has been found that the simplest solution to this problem is a “supervised” system, where operator decisions may be added interactively, either on operator command or upon loss of track. Increasing internal decision making within the program may reduce the number of operator interventions required, but is unlikely to eliminate them completely.Algorithms are presented and discussed for determining the position of the interface, for predicting the position of the interface in successive records, for determining the loss of track condition, and for re-acquiring track after loss of track.
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6

Cooper, A. P. R. "Interface Tracking in Digitally Recorded Glaciological Data." Annals of Glaciology 9 (1987): 50–54. http://dx.doi.org/10.1017/s026030550020075x.

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As more data are recorded in digital form the importance of automatically extracting parameters of glaciological significance increases. This paper addresses the problem, with particular reference to tracking bedrock or internal reflectors in digitally recorded Radio Echo Sounding (RES) data. It has been found that the simplest solution to this problem is a “supervised” system, where operator decisions may be added interactively, either on operator command or upon loss of track. Increasing internal decision making within the program may reduce the number of operator interventions required, but is unlikely to eliminate them completely. Algorithms are presented and discussed for determining the position of the interface, for predicting the position of the interface in successive records, for determining the loss of track condition, and for re-acquiring track after loss of track.
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7

Fazekas, Zoltán, Péter Gáspár, and Roland Kovács. "Determining Truck Activity from Recorded Trajectory Data." Procedia - Social and Behavioral Sciences 20 (2011): 796–805. http://dx.doi.org/10.1016/j.sbspro.2011.08.088.

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8

McCrae, Niall, and Joanna Murray. "When to Delete Recorded Qualitative Research Data." Research Ethics 4, no. 2 (June 2008): 76–77. http://dx.doi.org/10.1177/174701610800400211.

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9

Cooper, A. P. R. "Interface Tracking in Digitally Recorded Glaciological Data." Annals of Glaciology 9 (1987): 50–54. http://dx.doi.org/10.3189/s026030550020075x.

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As more data are recorded in digital form the importance of automatically extracting parameters of glaciological significance increases. This paper addresses the problem, with particular reference to tracking bedrock or internal reflectors in digitally recorded Radio Echo Sounding (RES) data. It has been found that the simplest solution to this problem is a “supervised” system, where operator decisions may be added interactively, either on operator command or upon loss of track. Increasing internal decision making within the program may reduce the number of operator interventions required, but is unlikely to eliminate them completely.Algorithms are presented and discussed for determining the position of the interface, for predicting the position of the interface in successive records, for determining the loss of track condition, and for re-acquiring track after loss of track.
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10

McAvoy, P., C. Tseng, I. D. Mayergoyz, and C. Krafft. "Spin-Stand Imaging of Perpendicularly Recorded Data." IEEE Transactions on Magnetics 44, no. 11 (November 2008): 3237–40. http://dx.doi.org/10.1109/tmag.2008.2001598.

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11

Makram, E. B., E. V. Subramaniam, A. A. Girgis, and R. C. Catoe. "Harmonic filter design using actual recorded data." IEEE Transactions on Industry Applications 29, no. 6 (1993): 1176–83. http://dx.doi.org/10.1109/28.259730.

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12

Brice, Jane H., Kevin D. Friend, and Theodore R. Delbridge. "Accuracy of EMS-Recorded Patient Demographic Data." Prehospital Emergency Care 12, no. 2 (January 2008): 187–91. http://dx.doi.org/10.1080/10903120801907687.

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13

Farina, A., F. Gini, M. V. Greco, and L. Verrazzani. "High resolution sea clutter data: statistical analysis of recorded live data." IEE Proceedings - Radar, Sonar and Navigation 144, no. 3 (1997): 121. http://dx.doi.org/10.1049/ip-rsn:19971107.

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14

Hutchinson, Alison M. "Analysing audio-recorded data: using computer software applications." Nurse Researcher 12, no. 3 (January 2005): 20–31. http://dx.doi.org/10.7748/nr2005.01.12.3.20.c5945.

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15

Hodgson, Beth. "Co-Offending in UK Police Recorded Crime Data." Police Journal: Theory, Practice and Principles 80, no. 4 (November 2007): 333–53. http://dx.doi.org/10.1350/pojo.2007.80.4.333.

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16

Dubbink, David T. "Presenting Environmental Noise Data Using Recorded Noise Examples." Noise Control Engineering Journal 41, no. 3 (1993): 351. http://dx.doi.org/10.3397/1.2827849.

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17

Evans, Julian C., Isabelle Devost, Teri B. Jones, and Julie Morand-Ferron. "Inferring dominance interactions from automatically recorded temporal data." Ethology 124, no. 3 (January 10, 2018): 188–95. http://dx.doi.org/10.1111/eth.12720.

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18

Los, Renske K., Astrid M. van Ginneken, and Johan van der Lei. "Extracting data recorded with OpenSDE: Possibilities and limitations." International Journal of Medical Informatics 74, no. 6 (July 2005): 473–80. http://dx.doi.org/10.1016/j.ijmedinf.2005.04.004.

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19

Lachenbruch, Peter A., Philip J. Clements, and Weizhong He. "On Encoding Values for Data Recorded asX ≥C." Biometrical Journal 37, no. 7 (1995): 855–67. http://dx.doi.org/10.1002/bimj.4710370708.

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20

Harada, Scott Y., Ralph S. Goto, and Andrew T. Nathanson. "Analysis of Lifeguard-Recorded Data at Hanauma Bay, Hawaii." Wilderness & Environmental Medicine 22, no. 1 (March 2011): 72–76. http://dx.doi.org/10.1016/j.wem.2010.10.012.

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21

Powell, Graham, Laura Bonnett, Catrin Tudur-Smith, Dyfrig Hughes, Paula Williamson, and Tony Marson. "PO240 Using routinely recorded data in a clinical trial." Journal of Neurology, Neurosurgery & Psychiatry 88, Suppl 1 (December 2017): A75.3—A75. http://dx.doi.org/10.1136/jnnp-2017-abn.261.

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22

Bonato, P., P. J. Mork, D. M. Sherrill, and R. H. Westgaard. "Data mining of motor patterns recorded with wearable technology." IEEE Engineering in Medicine and Biology Magazine 22, no. 3 (May 2003): 110–19. http://dx.doi.org/10.1109/memb.2003.1213634.

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23

Gorissen, Pierre, Jan Van Bruggen, and Wim Jochems. "Usage reporting on recorded lectures using educational data mining." International Journal of Learning Technology 7, no. 1 (2012): 23. http://dx.doi.org/10.1504/ijlt.2012.046864.

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24

Khan, Abdul Malik, Naveed Iqbal, and Muhammad Faisal Khan. "Synthetic GNSS spoofing data generation using field recorded signals." MethodsX 5 (2018): 1272–80. http://dx.doi.org/10.1016/j.mex.2018.10.004.

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25

Yanagisawa, Tatsuya. "Vibration damping suspension mechanism for recorded data reproducing apparatus." Journal of the Acoustical Society of America 103, no. 3 (March 1998): 1245. http://dx.doi.org/10.1121/1.423187.

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26

Ellsaesser, Hugh W., Michael C. MacCracken, John J. Walton, and Stanley L. Grotch. "Global climatic trends as revealed by the recorded data." Reviews of Geophysics 24, no. 4 (1986): 745. http://dx.doi.org/10.1029/rg024i004p00745.

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27

Frisch, Stefan. "Semiautomatic measurement of speech error data recorded with ultrasound." Journal of the Acoustical Society of America 125, no. 4 (April 2009): 2529. http://dx.doi.org/10.1121/1.4783532.

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28

Lim, Jun-Seok, K. M. Sung, and Han-Su Kim. "Modified regularised spectral estimation in short-time-recorded data." Electronics Letters 31, no. 17 (August 17, 1995): 1413–15. http://dx.doi.org/10.1049/el:19950992.

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29

Riedl, M., A. Kuhn, I. Krämer, E. Kolbe, and G. J. Kahaly. "Prospective, systematically recorded mycophenolate safety data in Graves’ orbitopathy." Journal of Endocrinological Investigation 39, no. 6 (February 17, 2016): 687–94. http://dx.doi.org/10.1007/s40618-016-0441-9.

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30

Pan, Yongping, Tairen Sun, and Haoyong Yu. "Composite adaptive dynamic surface control using online recorded data." International Journal of Robust and Nonlinear Control 26, no. 18 (March 21, 2016): 3921–36. http://dx.doi.org/10.1002/rnc.3541.

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31

Haidet, Kim Kopenhaver, Judith Tate, Dana Divirgilio-Thomas, Ann Kolanowski, and Mary Beth Happ. "Methods to improve reliability of video-recorded behavioral data." Research in Nursing & Health 32, no. 4 (May 11, 2009): 465–74. http://dx.doi.org/10.1002/nur.20334.

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32

Almansour, Aseel. "CLEANING AND ANALYSIS OF ROAD-SENSOR-RECORDED BIG DATA." Advances and Applications in Statistics 69, no. 1 (June 20, 2021): 7–22. http://dx.doi.org/10.17654/as069010007.

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33

De Moor, Sabine, Christophe Vandeviver, and Tom Vander Beken. "Integrating police-recorded crime data and DNA data to study serial co-offending behaviour." European Journal of Criminology 15, no. 5 (January 2, 2018): 632–51. http://dx.doi.org/10.1177/1477370817749499.

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When studying offending behaviour, researchers primarily rely on police-recorded crime data, even though such data contain only detected crimes and known offenders. Using DNA data, which also contain information on unknown offenders, enables researchers to link offenders by identifying their presence at shared crime scenes. In this paper we combine police-recorded crime data with DNA data to study serial co-offending behaviour. We focus on the changes the networks of crimes obtained from police-recorded crime data undergo when integrated with data from unknown offenders in the DNA database. We demonstrate that an integrated dataset reveals more and larger networks of crimes with a larger spatiotemporal spread compared with the police-recorded crime data only.
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34

Xu, Qiang, Qiuwen Chen, Weifeng Li, and Jinfeng Ma. "Pipe break prediction based on evolutionary data-driven methods with brief recorded data." Reliability Engineering & System Safety 96, no. 8 (August 2011): 942–48. http://dx.doi.org/10.1016/j.ress.2011.03.010.

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35

Helena Britt, Maria Angelis, Elizab. "The reliability and validity of doctor-recorded morbidity data in active data collection systems." Scandinavian Journal of Primary Health Care 16, no. 1 (January 1998): 50–55. http://dx.doi.org/10.1080/028134398750003412.

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36

Struss, Peter, and Benjamin Ertl. "Post-mortem Diagnosis of Bottling Plants Based on Recorded Data." IFAC Proceedings Volumes 42, no. 8 (2009): 1330–35. http://dx.doi.org/10.3182/20090630-4-es-2003.00216.

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37

Tanaka, Kazuyuki, and Tadashi Sakashita. "Estimation of system voltage sag profile using recorded sag data." Electrical Engineering in Japan 173, no. 4 (August 24, 2010): 9–19. http://dx.doi.org/10.1002/eej.21061.

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38

Seifallahi, Mahmoud, Hadi Soltanizadeh, Afsoon Hassani Mehraban, and Fatemeh Khamseh. "Alzheimer’s disease detection using skeleton data recorded with Kinect camera." Cluster Computing 23, no. 2 (November 16, 2019): 1469–81. http://dx.doi.org/10.1007/s10586-019-03014-z.

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39

Hutagalung, Sutrisno Salomo, Dwi Esti Kusumandari, Yosafat Vincent Saragih, Jessica Tania, and Arjon Turnip. "Arrythmia Classification of Electrocardiogram Recorded Data with Random Forest Method." Journal of Physics: Conference Series 1230 (July 2019): 012036. http://dx.doi.org/10.1088/1742-6596/1230/1/012036.

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40

van der Kooij, Jeroen, Sascha M. M. Fässler, David Stephens, Lisa Readdy, Beth E. Scott, and Beatriz A. Roel. "Opportunistically recorded acoustic data support Northeast Atlantic mackerel expansion theory." ICES Journal of Marine Science 73, no. 4 (December 19, 2015): 1115–26. http://dx.doi.org/10.1093/icesjms/fsv243.

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Abstract Fisheries independent monitoring of widely distributed pelagic fish species which conduct large seasonal migrations is logistically complex and expensive. One of the commercially most important examples of such a species in the Northeast Atlantic Ocean is mackerel for which up to recently only an international triennial egg survey contributed to the stock assessment. In this study, we explore whether fisheries acoustic data, recorded opportunistically during the English component of the North Sea International Bottom Trawl Survey, can contribute to an improved understanding of mackerel distribution and provide supplementary data to existing dedicated monitoring surveys. Using a previously published multifrequency acoustic mackerel detection algorithm, we extracted the distribution and abundance of schooling mackerel for the whole of the North Sea during August and September between 2007 and 2013. The spatio-temporal coverage of this unique dataset is of particular interest because it includes part of the unsurveyed summer mackerel feeding grounds in the northern North Sea. Recent increases in landings in Icelandic waters during this season suggested that changes have occurred in the mackerel feeding distribution. Thus far it is poorly understood whether these changes are due to a shift, i.e. mackerel moving away from their traditional feeding grounds in the northern North Sea and southern Norwegian Sea, or whether the species' distribution has expanded. We therefore explored whether acoustically derived biomass of schooling mackerel declined in the northern North Sea during the study period, which would suggest a shift in mackerel distribution rather than an expansion. The results of this study show that in the North Sea, schooling mackerel abundance has increased and that its distribution in this area has not changed over this period. Both of these findings provide, to our knowledge, the first evidence in support of the hypothesis that mackerel have expanded their distribution rather than moved away.
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41

MANDELJ, SIMON, IGOR GRABEC, and EDVARD GOVEKAR. "NONPARAMETRIC STATISTICAL MODELING OF SPATIOTEMPORAL DYNAMICS BASED ON RECORDED DATA." International Journal of Bifurcation and Chaos 14, no. 06 (June 2004): 2011–25. http://dx.doi.org/10.1142/s021812740401045x.

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Experimental analysis of spatially extended processes is based on measured data of characteristic dynamic variables in space and time. The basic aim of the analysis is to extract a field evolution law from data thus recorded. We present a nonparametric statistical modeling of field evolution, following a state space reconstruction technique. For this purpose a novel state reconstruction is proposed that properly describes chaotic field evolution on short- as well as statistically on long-term basis. From the reconstructed state vectors, deterministic and random parts of field evolution are then approximated by employing a conditional average estimator. The performance of such statistical modeling is demonstrated by predicting simulated stochastic fields, and experimental fields generated by cutting and welding manufacturing processes. The results presented indicate that the proposed method of modeling can be successfully utilized for experimental characterization of different stochastic processes.
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42

Mizoguchi, Fumio, and Hirotoshi Iwasaki. "Meta-Cognition for Inferring Car Driver Cognitive Behavior from Driving Recorder Data." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 3 (July 2016): 1–12. http://dx.doi.org/10.4018/ijcini.2016070101.

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This study focused on driver behavior by inferring it from driving recorder data. The authors refer to this inference function as meta-cognition. Using this meta-cognition, they attempt to determine the characteristics of driver behavior on the highway. By comparing ACTR simulation results and recorder data, the authors investigated the driver cognitive process in highway driving in response to lane keeping, curve negotiation, and lane changing subtasks. In order for the driving experiment to be realistic, they use a simple driving recorder (type DVRGPS-04, made by Geanee Corporation in Japan) which is available on the public market. Using the driving recorder, they recorded the data on the highway. For the most part, the authors drove on the Shuto, Kanetsu, Jouban, and Joushinetsu highways from Meguro in Tokyo to Nagano or Kashiwa in Chiba. The recording time was about two hours, and the data was recorded as video images stored in a microSD memory card in the driving recorder.
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43

Dzienis, Paweł, and Romuald Mosdorf. "SYNCHRONIZATION OF DATA RECORDED USING ACQUISITION STATIONS WITH DATA FROM CAMERA DURING THE BUBBLE DEPARTURE." Advances in Science and Technology – Research Journal 7, no. 20 (December 6, 2013): 34–39. http://dx.doi.org/10.5604/20804075.1073050.

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44

Holland, A. "Earthquake Data Recorded by the MEMS Accelerometer: Field Testing in Idaho." Seismological Research Letters 74, no. 1 (January 1, 2003): 20–26. http://dx.doi.org/10.1785/gssrl.74.1.20.

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45

Adeniyi, Bamidele Olaiya, Vicky C. Moore, Gregory Efosa Erhabor, and Sherwood Burge. "Differences in serial lung function recorded on four data-logging meters." Journal of Asthma 50, no. 9 (August 20, 2013): 965–67. http://dx.doi.org/10.3109/02770903.2013.825726.

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46

Harnisch, Martina, and Günter Harnisch. "Polar motion influences in the gravity data recorded by superconducting gravimeters." Journal of Geodynamics 48, no. 3-5 (December 2009): 340–47. http://dx.doi.org/10.1016/j.jog.2009.09.015.

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47

Dubois, Marc, Xiaolei Shi, Christoph Erben, Brian Lawrence, Eugene Boden, and Kathryn Longley. "Microholograms Recorded in a Thermoplastic Medium for Three-Dimensional Data Storage." Japanese Journal of Applied Physics 45, no. 2B (February 24, 2006): 1239–45. http://dx.doi.org/10.1143/jjap.45.1239.

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48

Prance, R. J., T. D. Clark, H. Prance, and G. Howells. "Imaging of magnetically recorded data using a novel scanning magnetic microscope." Journal of Magnetism and Magnetic Materials 193, no. 1-3 (March 1999): 437–40. http://dx.doi.org/10.1016/s0304-8853(98)00471-5.

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49

Skarlatoudis, A. A., C. B. Papazachos, and B. N. Margaris. "Determination of noise spectra from strong motion data recorded in Greece." Journal of Seismology 7, no. 4 (October 2003): 533–40. http://dx.doi.org/10.1023/b:jose.0000005724.36224.58.

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50

Neuenschwander, T. F. O., F. Miglior, J. Jamrozik, O. Berke, D. F. Kelton, and L. R. Schaeffer. "Genetic parameters for producer-recorded health data in Canadian Holstein cattle." Animal 6, no. 4 (2012): 571–78. http://dx.doi.org/10.1017/s1751731111002059.

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