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Journal articles on the topic 'Time characteristics'

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Published: 30 May 2022
Last updated: 31 May 2022

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1

Salopek, D. S. "Characteristics of cosmic time." Physical Review D 52, no. 10 (November 15, 1995): 5563–75. http://dx.doi.org/10.1103/physrevd.52.5563.

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2

Ivashkevych, Ernest, and Iryna Koval. "Psychological Characteristics of Explication of Narration and Time in Graphic Novels." Problems of Modern Psychology : Collection of research papers of Kamianets-Podilskyi National Ivan Ohiienko University, G.S. Kostiuk Institute of Psychology of the National Academy of Educational Sciences of Ukraine, no. 48 (April 16, 2020): 133–53. http://dx.doi.org/10.32626/2227-6246.2020-48.133-153.

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3

Mishra, Sudha, and Rajendra Singh. "Life-time Performance Characteristics of an Aphid Parasitoid, Lysiphlebus delhiensis (Hymenopetra: Aphidiidae)." Entomologia Generalis 15, no. 3 (October 1, 1990): 173–79. http://dx.doi.org/10.1127/entom.gen/15/1990/173.

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4

Esmaili, S., S. Krishnan, and K. Raahemifar. "Audio watermarking time-frequency characteristics." Canadian Journal of Electrical and Computer Engineering 28, no. 2 (April 2003): 57–61. http://dx.doi.org/10.1109/cjece.2003.1532509.

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5

Boteler, D. H. "Characteristics of time-varying inductance." IEEE Transactions on Magnetics 30, no. 2 (March 1994): 172–76. http://dx.doi.org/10.1109/20.312255.

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6

Lubba, Carl H., Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, and Nick S. Jones. "catch22: CAnonical Time-series CHaracteristics." Data Mining and Knowledge Discovery 33, no. 6 (August 9, 2019): 1821–52. http://dx.doi.org/10.1007/s10618-019-00647-x.

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7

Hamza, E., and K. Miskó. "Characteristics of land market in Hungary at the time of the EU accession." Agricultural Economics (Zemědělská ekonomika) 53, No. 4 (January 7, 2008): 161–68. http://dx.doi.org/10.17221/864-agricecon.

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The Agricultural Economics Research Institute has launched a research project with the aim to analyse the Hungarian land market and the changes occurred since the EU accession as well as to present the tendencies of the development. The statistical data on the land market is rather deficient and cannot be considered representative, therefore, we also included some empirical experiments summarising experts’ opinion referring to all the counties of Hungary. In our paper, we provide our statements and conclusions. The survey shows that the landed property market in Hungary is in a state of anticipation. Demand is primarily for outstanding and good quality land of favourable location in certain countries or larger plots of arable and forestry land. Characteristically, the poorer quality, less accessible land of less favourable location in the neighbourhood of the depopulated, cul-de-sac villages is in oversupply. Scattered, wedged properties of small size or of unclear ownership (undivided common land) are difficult to sell. Many of the vendors are older people with subsistence worries or people who obtained the title by compensation but do not wish to get involved in cultivation. Increasingly more buyers are well capitalised farmers, who wish to increase their holdings, or to unite their property (by land swap). Another significant group of buyers wish to invest into landed property located in the neighbourhood of larger cities, at popular sites, next to main roads or motorways. According to our survey, in the immediate years before the EU accession land and lease prices increased significantly, many fold in relation to quality. Increases in land prices are due to a process of convergence to the EU prices intending to take advantage of the projected unified land market. Increases in lease prices are due to apportioning of the projected land based support between owner and lease holder. According to land sale experts (estate or realty agents) the land market will in the 5−10 years liven up resulting in increases in land and lease prices, although the extent of this cannot yet be prognosticated.
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8

KUTO, Yoshinori, and Sakae YAMAMOTO. "Operator's characteristics of time lag system." Japanese journal of ergonomics 29, Supplement (1993): 342–43. http://dx.doi.org/10.5100/jje.29.supplement_342.

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9

KATOH, Hisao, and Yasuyuki FUNAHASHI. "Continuous-Time Controllers with Deadbeat Characteristics." Transactions of the Society of Instrument and Control Engineers 32, no. 5 (1996): 699–705. http://dx.doi.org/10.9746/sicetr1965.32.699.

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10

Holden, John. "Fractal Characteristics of Response Time Variability." Ecological Psychology 14, no. 1 (April 1, 2002): 53–86. http://dx.doi.org/10.1207/s15326969eco1401&2double_4.

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11

Holden, John G. "Fractal Characteristics of Response Time Variability." Ecological Psychology 14, no. 1-2 (April 2002): 53–86. http://dx.doi.org/10.1080/10407413.2003.9652752.

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12

Thompson, Sam, Aaron Williamon, and Elizabeth Valentine. "Time-Dependent Characteristics of Performance Evaluation." Music Perception 25, no. 1 (September 1, 2007): 13–29. http://dx.doi.org/10.1525/mp.2007.25.1.13.

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CONCERTGOERS, CRITICS, TEACHERS, AND PERFORMERS are often called upon to cast judgment on the performances they hear. Research to date has typically focused on the judgments themselves, with very few empirical studies of the processes and decisions that lead to these judgments. This paper details an investigation of time-dependent characteristics of performance evaluation. Thirty-three participants were played five recordings of a Bach Prelude and five of a Chopin Prelude. They rated the quality of each performance continuously, by moving a mouse cursor on a 7-point scale displayed on a computer screen, and using written scales. The results suggest that: the time taken to reach an evaluative decision was typically short (around 15––20 s); there was a significant difference between the initial and final ratings, with a tendency for ratings to improve as the performances progressed; and the largest revisions of opinion took place within the first minute of the performance.
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13

Garratt, Anthony, and Shaun P. Vahey. "UK Real‐Time Macro Data Characteristics." Economic Journal 116, no. 509 (February 1, 2006): F119—F135. http://dx.doi.org/10.1111/j.1468-0297.2006.01067.x.

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14

Zheng, Jun, Shiwei Wang, and Jianqiu Xu. "Characteristics and dispersion of time grating." Journal of the Optical Society of America B 30, no. 3 (February 27, 2013): 723. http://dx.doi.org/10.1364/josab.30.000723.

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15

Yang, Heidi Hai-Ling, and Harry T. Lawless. "Time–intensity characteristics of iron compounds." Food Quality and Preference 17, no. 5 (July 2006): 337–43. http://dx.doi.org/10.1016/j.foodqual.2005.04.002.

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16

Timmer, J., C. Gantert, G. Deuschl, and J. Honerkamp. "Characteristics of hand tremor time series." Biological Cybernetics 70, no. 1 (November 1993): 75–80. http://dx.doi.org/10.1007/bf00202568.

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17

Parpia, I. H., C. P. Kentzer, and M. H. Williams. "Multidimensional time dependent method of characteristics." Computers & Fluids 16, no. 1 (January 1988): 105–17. http://dx.doi.org/10.1016/0045-7930(88)90041-2.

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18

Jeong, ChanSeo, and ByeongSoo Lim. "P-27 Characteristics of Cavity Variation followed by Time Fraction at Creep Rupture Test." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—27–1_—_P—27–3_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-27-1_.

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19

Cai, Yi Ming. "Time and Space Warp Characteristics of Resources Utilization." Applied Mechanics and Materials 295-298 (February 2013): 2690–95. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.2690.

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We are able to recognize an interesting characteristic of resource utilization by means of time definition and analysis of human utilization of resources. The characteristic is that the utilization of resources have the characteristics of time and space warp from both the view points of depth space resource of the time concept of time-point, the time concept of time-point circulation and circulation of point-to-point in one hand, and also breadth space resource of the short-term periodic time cycle, medium-time periodic time cycle and long-time periodic cycle in the other.
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20

Li, Jinghua, Jinyu Wen, Jiaming Li, Shijie Cheng, Peng Yu, and Weihua Luo. "Generation of wind power time series to fit time‐domain characteristics." Electronics Letters 50, no. 23 (November 2014): 1734–36. http://dx.doi.org/10.1049/el.2014.1908.

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21

CHEN, Guangxiong. "TIME-FREQUENCY CHARACTERISTICS OF FRICTION-INDUCED VIBRATION." Chinese Journal of Mechanical Engineering 42, no. 02 (2006): 1. http://dx.doi.org/10.3901/jme.2006.02.001.

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22

Volobuev, G. K. "THE MODELING OF STOCHASTIC TIME SERIES CHARACTERISTICS." MINING INFORMATIONAL AND ANALYTICAL BULLETIN S15 (May 20, 2017): 18–24. http://dx.doi.org/10.25018/0236-1493-2017-7-15-18-24.

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23

Watson, Marie M., Michael P. Rastatter, and Roger Colcord. "Time Compression and Spectral Characteristics of Phonemes." Perceptual and Motor Skills 62, no. 1 (February 1986): 9–10. http://dx.doi.org/10.2466/pms.1986.62.1.9.

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24

Staroverova, Kseniya Yurievna, and Vladimir Mansurovich Bure. "Characteristics based dissimilarity measure for time series." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 13, no. 1 (2017): 51–60. http://dx.doi.org/10.21638/11701/spbu10.2017.105.

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25

Filippov, T., and M. Znosko. "Time characteristics of a Josephson-balanced comparator." Superconductor Science and Technology 12, no. 11 (November 1, 1999): 776–78. http://dx.doi.org/10.1088/0953-2048/12/11/325.

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26

White, Benjamin, Ping Sheng, Zhao Qing Zhang, and George Papanicolaou. "Wave localization characteristics in the time domain." Physical Review Letters 59, no. 17 (October 26, 1987): 1918–21. http://dx.doi.org/10.1103/physrevlett.59.1918.

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27

Singh, Bhupinder, and Sunny Zafar. "Understanding time-temperature characteristics in microwave cladding." Manufacturing Letters 25 (August 2020): 75–80. http://dx.doi.org/10.1016/j.mfglet.2020.08.002.

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28

Phillips, N. G., R. Oren, J. Licata, and S. Linder. "Time series diagnosis of tree hydraulic characteristics." Tree Physiology 24, no. 8 (August 1, 2004): 879–90. http://dx.doi.org/10.1093/treephys/24.8.879.

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29

Bailiff, I. K. "Characteristics of time-resolved luminescence in quartz." Radiation Measurements 32, no. 5-6 (December 2000): 401–5. http://dx.doi.org/10.1016/s1350-4487(00)00126-8.

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30

Correig, Antoni M., and Mercè Urquizú. "Some dynamical characteristics of microseism time-series." Geophysical Journal International 149, no. 3 (May 26, 2002): 589–98. http://dx.doi.org/10.1046/j.1365-246x.2002.01602.x.

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31

Paul E. Garner, David M. Howard. "Real-time display of voice source characteristics." Logopedics Phoniatrics Vocology 24, no. 1 (January 1999): 19–25. http://dx.doi.org/10.1080/140154399434526.

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32

Gao, Yaqiong, Wanghu Chen, Bo Yang, Yuxiang Mu, and Jing Li. "Identifying Users Based on Time-Frequency Characteristics." Journal of Physics: Conference Series 1302 (August 2019): 042035. http://dx.doi.org/10.1088/1742-6596/1302/4/042035.

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33

Jobson, Harvey E. "Predicting River Travel Time from Hydraulic Characteristics." Journal of Hydraulic Engineering 127, no. 11 (November 2001): 911–18. http://dx.doi.org/10.1061/(asce)0733-9429(2001)127:11(911).

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34

Yoda, Mituo, Toru Kimura, and Kunihiko Kasahara. "Time-dependent fracture characteristics of polymer film." Proceedings of Autumn Conference of Tohoku Branch 2003.39 (2003): 37–38. http://dx.doi.org/10.1299/jsmetohoku.2003.39.37.

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35

Li, C., S. F. Mao, and Z. J. Ding. "Time-dependent characteristics of secondary electron emission." Journal of Applied Physics 125, no. 2 (January 14, 2019): 024902. http://dx.doi.org/10.1063/1.5080264.

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36

Pao, Lucy Y. "Minimum-time control characteristics of flexible structures." Journal of Guidance, Control, and Dynamics 19, no. 1 (January 1996): 123–29. http://dx.doi.org/10.2514/3.21588.

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37

Chavda, Shyam, Tom Bromley, Paul Jarvis, Steve Williams, Chris Bishop, Anthony N. Turner, Jason P. Lake, and Peter D. Mundy. "Force-Time Characteristics of the Countermovement Jump." Strength and Conditioning Journal 40, no. 2 (April 2018): 67–77. http://dx.doi.org/10.1519/ssc.0000000000000353.

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38

Braun, S., and M. Feldman. "TIME–FREQUENCY CHARACTERISTICS OF NON-LINEAR SYSTEMS." Mechanical Systems and Signal Processing 11, no. 4 (July 1997): 611–20. http://dx.doi.org/10.1006/mssp.1997.0091.

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39

Hodgkiss, W. S., and F. H. Fisher. "Time‐evolving characteristics of midfrequency ambient noise." Journal of the Acoustical Society of America 85, S1 (May 1989): S126. http://dx.doi.org/10.1121/1.2026711.

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40

Holden, R. A., and R. W. Thomas. "Time-Domain Characteristics of Complex Computer Networks." Naval Engineers Journal 110, no. 2 (March 1998): 61–72. http://dx.doi.org/10.1111/j.1559-3584.1998.tb03253.x.

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41

ALBERTY, MORGAN, MICHEL SIDNEY, PATRICK PELAYO, and HUUB M. TOUSSAINT. "Stroking Characteristics during Time to Exhaustion Tests." Medicine & Science in Sports & Exercise 41, no. 3 (March 2009): 637–44. http://dx.doi.org/10.1249/mss.0b013e31818acfba.

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42

Robotham, David. "Student part‐time employment: characteristics and consequences." Education + Training 54, no. 1 (February 10, 2012): 65–75. http://dx.doi.org/10.1108/00400911211198904.

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43

Huang, Jing, and Yougui Wang. "The time-dependent characteristics of relative mobility." Economic Modelling 37 (February 2014): 291–95. http://dx.doi.org/10.1016/j.econmod.2013.11.019.

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44

Aminaei, A., F. Honary, A. J. Kavanagh, E. Spanswick, and A. Viljanen. "Characteristics of night-time absorption spike events." Annales Geophysicae 24, no. 7 (August 9, 2006): 1887–904. http://dx.doi.org/10.5194/angeo-24-1887-2006.

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Abstract. Sudden increases in cosmic radio noise absorption, known as spike events, have been identified as signatures of substorms in the previous studies. Using data from the IRIS (Imaging Riometer for Ionospheric Studies) at Kilpisjärvi, Finland (L~6) more than 450 night-time spike events between 1994 and 2003 have been identified. Spike events fall into four distinct categories based on their structure and the background magnetic activity as indicated by a local westward electrojet (IL index) derived from the IMAGE (International Monitor for Auroral Geomagnetic Effects) magnetometer network as well as Pi2 magnetic pulsations from SAMNET (The UK Sub-Auroral Magnetometer Network). Classifying the types of absorption spikes allows for identification of phenomena such as multiple onsets and pseudobreakups from riometer data. In addition we have studied the statistical variation of absorption spikes and their sub-classes. This includes examining the magnetic local time (MLT) distribution and the seasonal and solar-cycle variation in spike occurrence. Those that seem to represent substorm onsets show a decidedly different MLT variation to those isolated spikes that represent pseudobreakups. The occurrence of spikes during different levels of geomagnetic activity is examined using the Kp index. Wavelet analysis has been used for studying the temporal structure of spikes; also the direction of motion of spike events and localisation of spikes are presented for all events and each sub-class and results are compared with previous studies. Statistical studies are supported with X-ray images of aurora from PIXIE (The Polar Ionospheric X-ray Imaging Experiment) when available.
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45

Burov, L. I., and K. P. Kureichik. "Time-dependent characteristics of an optogalvanic signal." Journal of Applied Spectroscopy 49, no. 3 (September 1988): 895–99. http://dx.doi.org/10.1007/bf00662778.

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46

Reinisch, Bodo W., Robert R. Gamache, and Lucien G. Bossy. "Ionospheric characteristics for IRI in real time." Advances in Space Research 10, no. 8 (January 1990): 25–34. http://dx.doi.org/10.1016/0273-1177(90)90181-x.

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47

Kolesnikova, L. A., M. M. Mal'gun, E. V. Patokin, and M. D. Sobolev. "Stability in strain-gauge characteristics over time." Measurement Techniques 32, no. 6 (June 1989): 540–42. http://dx.doi.org/10.1007/bf00867897.

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48

Karim, Hardy, Hirsh Majid, and Chro Ahmed. "The Effects of Fixed-Time Ramp Metering on Freeway Traffic Characteristics Using Microscopic Traffic Simulation." Sulaimani Journal for Engineering Sciences 5, no. 1 (May 25, 2018): 40–52. http://dx.doi.org/10.17656/sjes.10066.

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49

Tůmová, E., L. Zita, M. Hubený, M. Skřivan, and Z. Ledvinka. "The effect of oviposition time and genotype on egg quality characteristics in egg type hens." Czech Journal of Animal Science 52, No. 1 (January 7, 2008): 26–30. http://dx.doi.org/10.17221/2326-cjas.

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In an experiment with three strains of Dominant genotype the effect of oviposition on egg quality characteristics was investigated. Laying hens of the Blue strain (group 1), Plymouth Rock (group 2) and their F1 cross (group 3) from 20 to 64 weeks of age were housed on litter (9 birds per m2). The collection time was at 6.00, 10.00 and 14.00 h. Eggs were gathered in a 28-day interval, every two days all produced eggs (720 eggs in total). The time of oviposition was influenced by genotype. The highest number of eggs was collected in the Plymouth Rock strain at 6.00 (53.5%) and the lowest in the Blue strain at 14.00 (11.1%). There were interactions between the time of oviposition and genotype in egg weight. Eggs laid in the morning at 6.00 were significantly heavier (60.5 g, 64.9 g and 62.1 g) in comparison with eggs laid in the afternoon (59.3 g, 62.4 g and 62.7 g). The heaviest eggs were produced by the Plymouth Rock strain. Significant interactions were observed in eggshell weight when the heaviest eggshell was in afternoon eggs (5.6 g, 5.8 and 5.9 g) and F1 genotype. The egg shape index was also affected by the genotype and time of oviposition. Among the albumen quality characteristics only Haugh Units were influenced by genotype and significantly higher numbers were determined in the Plymouth Rock strain (85.0, 85.3 and 84.7). The genotype significantly affected also the yolk index which was the highest in F1 genotype (45.4%, 45.4% and 44.5%).
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50

Chengzhen Lu, Chengzhen Lu, Chen Liu Chen Liu, Erliang Cui Erliang Cui, Jia Li Jia Li, Wei Liu Wei Liu, and Ping Sun Ping Sun. "Analysis on the characteristics of animal tissues based on the Terahertz time domain spectroscopy system." Chinese Optics Letters 10, s1 (2012): S13201–313204. http://dx.doi.org/10.3788/col201210.s13201.

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