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Journal articles on the topic 'Information speed'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Valsaraj, Vani. "Vehicle Speed Information." Volume 5 - 2020, Issue 9 - September 5, no. 9 (2020): 867–68. http://dx.doi.org/10.38124/ijisrt20sep649.

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Road accidents have been very common in the present world with prime cause being careless driving. It is very necessary to identify the careless driver. However, with the advancement in the technology, different governing bodies are demanding some sort of computerized technology to control the driving speed of drivers. At this scenario, we are proposing system to detect vehicle speed been driven the given maximum speed of vehicles the respective roads or highway limits.

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2

Karnes, Edward W., S. David Leonard, and Herbert C. Newbold. "Safety Perceptions and Information Sources for ATVs." Proceedings of the Human Factors Society Annual Meeting 32, no. 15 (1988): 938–42. http://dx.doi.org/10.1518/107118188786761794.

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Safety issues concerning all-terrain vehicles (ATVs) have become important for human factors professionals, becasuse of the need to reduce the accidents and injuries associated with their use. Human factors experts have also been called upon to testify in legal suits occasioned by some accidents. This paper discusses some of the problems associated with the safety of ATVs and presents data concerning riders and observers ability to estimate their speed. Speed estimates are lower than actual speeds at low speeds and higher than actual speeds at high speeds. It is concluded that information abou

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3

Ziedenberg, Mark. "Speed search for information." Angle Orthodontist 66, no. 1 (1996): 5. http://dx.doi.org/10.2319/0003-3219-66.1.5a.

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4

Nimtz, Günter. "Superluminal speed of information?" Nature 429, no. 6987 (2004): 40. http://dx.doi.org/10.1038/nature02586.

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5

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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6

Pereira, Bliss. "Cognitive Information Processing Speed." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1969–78. http://dx.doi.org/10.22214/ijraset.2023.48563.

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Abstract: Using visual learning and meditation based techniques to develop brain training apps that can significantly improve cognitive performance. This paper seeks to understand what causes slow cognitive processing speed and designs an application to diagnose it in early stages and provide support to people having slow processing speed. Moreover, significant primary data is collected to validate the hypothesis that visual learning techniques presented through mobile applications can improve cognitive performance.

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7

Ninghua Zhu, Ninghua Zhu. "Semiconductor lasers for high-speed information technologies (Invited Paper)." Chinese Optics Letters 15, no. 1 (2017): 010002–10007. http://dx.doi.org/10.3788/col201715.010002.

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8

Walker, Lisa A. S., Amy Cheng, Jason Berard, Lindsay I. Berrigan, Laura M. Rees, and Mark S. Freedman. "Tests of Information Processing Speed." International Journal of MS Care 14, no. 2 (2012): 92–99. http://dx.doi.org/10.7224/1537-2073-14.2.92.

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Reduction in information processing speed (IPS) is a key deficit in multiple sclerosis (MS). The Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), and Computerized Test of Information Processing (CTIP) are used to measure IPS. Both the PASAT and SDMT are sensitive to deficits in IPS. The CTIP, a newer task, also shows promise. The PASAT has several limitations, and it is often perceived negatively by patients. Yet little supporting quantitative evidence of such perceptions has been presented. Therefore, in this study, subjective ratings of likeability, difficult

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9

Walker, Lisa A. S., Amy Cheng, Jason Berard, Lindsay I. Berrigan, Laura M. Rees, and Mark S. Freedman. "Tests of Information Processing Speed." International Journal of MS Care 15, S1 (2013): 2–11. http://dx.doi.org/10.7224/1537-2073-15.s1.2.

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10

Stenner, Michael D., Daniel J. Gauthier, and Mark A. Neifeld. "Superluminal speed of information? (reply)." Nature 429, no. 6987 (2004): 40. http://dx.doi.org/10.1038/nature02587.

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11

Germain, Laurent, Hervé Boco, and Fabrice Rousseau. "Private Information And Trading Speed." Finance Pub. anticipées (August 31, 2029): I36—LXIII. https://doi.org/10.3917/fina.pr.036.

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12

Verghese, Preeti, and Leland S. Stone. "Combining speed information across space." Vision Research 35, no. 20 (1995): 2811–23. http://dx.doi.org/10.1016/0042-6989(95)00038-2.

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13

Germain, Laurent, Hervé Boco, and Fabrice Rousseau. "Private Information And Trading Speed." Finance Vol. 46, no. 1 (2025): 130–92. https://doi.org/10.3917/e.fina.pr.036.

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14

Rabbitt, Patrick, and Louise Goward. "Age, Information Processing Speed, and Intelligence." Quarterly Journal of Experimental Psychology Section A 47, no. 3 (1994): 741–60. http://dx.doi.org/10.1080/14640749408401135.

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Two parallel, but independent, literatures have grown out of observations that individual differences in information processing speed, as expressed in performance on choice reaction time (C RT) tasks, modestly correlate with individual differences in age and IQ test performance. These associations have prompted theories that individual differences in information processing speed functionally determine individual differences in performance of all cognitive skills by people of different general intellectual ability (Eysenck, 1986; Jensen, 1985) or age (Salthouse, 1982, 1985). The experiments on

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15

Horvat, Sebastian, and Borivoje Dakić. "Quantum enhancement to information acquisition speed." New Journal of Physics 23, no. 3 (2021): 033008. http://dx.doi.org/10.1088/1367-2630/abe9d4.

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16

Satterthwaite, Del. "Emerging technologies to speed information access." Information Services & Use 30, no. 3-4 (2011): 99–105. http://dx.doi.org/10.3233/isu-2010-0616.

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17

Wang Hao, 王号, 张春光 Zhang Chunguang, and 李晖 Li Hui. "Information Speed in Controllable Light Velocity." Laser & Optoelectronics Progress 48, no. 3 (2011): 031902. http://dx.doi.org/10.3788/lop48.031902.

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18

Fink, Andreas, and Aljoscha C. Neubauer. "Speed of information processing, psychometric intelligence." Personality and Individual Differences 30, no. 6 (2001): 1009–21. http://dx.doi.org/10.1016/s0191-8869(00)00089-1.

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19

Shu-dong, Shi, and Li Zhi-tang. "A high-speed information retrieval system." Wuhan University Journal of Natural Sciences 9, no. 4 (2004): 425–28. http://dx.doi.org/10.1007/bf02830436.

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20

Kirby, N. H., and T. Nettelbeck. "Speed of information processing and age." Personality and Individual Differences 12, no. 2 (1991): 183–88. http://dx.doi.org/10.1016/0191-8869(91)90101-g.

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21

Bugos, Jennifer, and Wendy Mostafa. "Musical Training Enhances Information Processing Speed." Bulletin of the Council for Research in Music Education, no. 187 (January 1, 2011): 7–18. http://dx.doi.org/10.2307/41162320.

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Abstract The purpose of this research is to examine the effects of music instruction on information processing speed. We examined music’s role on information processing speed in musicians (N = 14) and non-musicians (N = 16) using standardized neuropsychological measures, the Paced Auditory Serial Addition Task (PASAT) and the Trail Making Test (TMT). Results of a One Way ANOVA indicate significantly (p &lt; .05) enhanced performance by musicians compared to non-musicians on the PASAT and TMT (Part A and B). These results suggest that musical training has the capacity to enhance processing

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22

Brand, Chris. "Speed of information-processing and intelligence." Personality and Individual Differences 11, no. 5 (1990): 535–37. http://dx.doi.org/10.1016/0191-8869(90)90068-3.

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23

Hart, Robert P., Joseph A. Kwentus, Robert T. Leshner, and Robert Frazier. "Information processing speed in Friedreich's ataxia." Annals of Neurology 17, no. 6 (1985): 612–14. http://dx.doi.org/10.1002/ana.410170615.

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24

Zheng, Zhanji, Zhigang Du, Qiaojun Xiang, and Guojun Chen. "Influence of multiscale visual information on driver’s perceived speed in highway tunnels." Advances in Mechanical Engineering 10, no. 12 (2018): 168781401881896. http://dx.doi.org/10.1177/1687814018818961.

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Speed illusion is the leading contributing factor to traffic accidents in highway tunnels. This study aimed to estimate the influence of visual information at different scales and frequencies on drivers’ visual perception and driving safety in highway tunnels. The speed perception of drivers was measured using the stimulus of subjectively equivalent speeds as an index. Thirty drivers were recruited to conduct a psychophysical experiment on speed perception using a driving simulator. The large-, medium- and small-scale visual information in a frequency range of 0.1–32 Hz were used in the experi

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25

Yan, Xingchen, Jun Chen, Hua Bai, Tao Wang, and Zhen Yang. "Influence Factor Analysis of Bicycle Free-Flow Speed for Determining the Design Speeds of Separated Bicycle Lanes." Information 11, no. 10 (2020): 459. http://dx.doi.org/10.3390/info11100459.

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To provide a knowledge basis for updating the design speed in bicycle facility codes, this paper examines factors that influence bicycle free-flow speed. We investigated six segments of Nanjing’s separated bicycle lane and established a generalized linear model of the relationship between bicycle free-flow speed and bicyclists’ gender, age, bicycle type, lane width, bicycle lateral position, and travel period. With the model, we determined the statistical significance of each factor and assessed each factor’s impact extent. Through comparing the 85th percentile speeds of different groups, we p

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26

Kuznetsov, Alexander P., and Hans-Joachim Koriath. "Energy - Information Regularities of Increasing Productivity in Metalworking Machine Tools." EPJ Web of Conferences 224 (2019): 05008. http://dx.doi.org/10.1051/epjconf/201922405008.

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Increasing productivity by higher cutting speed and achieving high precision of machined products at the same time is an important trend in the development of manufacturing technologies and metalworking machine tools. If the traditional method of exchangeable components in assemblies will lead to inefficient precise processes, the product costs will increase. The proposed energy-informational model considers a procedural system establishing the ratio of the cutting speed and the speed of physical processes in the machine tools. The energetic limit for the attainability of associated processes

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27

Samijonov, Nurmukhammad Y. "AI FOR INFORMATION SECURITY AND CYBERSPACE." American Journal of Applied Science and Technology 3, no. 10 (2023): 39–43. http://dx.doi.org/10.37547/ajast/volume03issue10-08.

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Taking into account the fact that artificial intelligence can expand the capabilities of humanity, accelerate the speed of data analysis several times, and help people reach correct and accurate conclusions in the decision-making process, it can improve data security or, on the contrary, target propaganda and fake news. Collecting information, taking very little responsibility, and taking into account the fact that social networks can expand the speed and extent of dissemination of information simultaneously in two opposite directions, AI can both strengthen cyber security or create new types

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28

Jomaa, Diala, and Siril Yella. "Predicting Automatic Trigger Speed for Vehicle-Activated Signs." Journal of Intelligent Systems 29, no. 1 (2018): 1079–91. http://dx.doi.org/10.1515/jisys-2016-0329.

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Abstract Vehicle-activated signs (VAS) are speed-warning signs activated by radar when the driver speed exceeds a pre-set threshold, i.e. the trigger speed. The trigger speed is often set relative to the speed limit and is displayed for all types of vehicles. It is our opinion that having a static setting for the trigger speed may be inappropriate, given that traffic and road conditions are dynamic in nature. Further, different vehicle classes (mainly cars and trucks) behave differently, so a uniform trigger speed of such signs may be inappropriate to warn different types of vehicles. The curr

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29

Kim, Hyungkyu, and Doyoung Jung. "Estimation of Optimal Speed Limits for Urban Roads Using Traffic Information Big Data." Applied Sciences 11, no. 12 (2021): 5710. http://dx.doi.org/10.3390/app11125710.

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The use of an inconsistent speed limit determination method can cause low speed limit compliance. Therefore, we developed an objective methodology based on engineering judgment considering the traffic accident rate in road sections, the degree of roadside development, and the geometric characteristics of road sections in urban roads. The scope of this study is one-way roads with two or more lanes in cities, and appropriate sections were selected among all roads in Seoul. These roads have speed limits of the statutory maximum speed of 80 km/h or lower and are characterized by various speeds acc

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30

Oku, H., and M. Ishikawa. "1ms High-speed Depth Information Measurement of Microscopic Objects Using High-speed." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2003 (2003): 52. http://dx.doi.org/10.1299/jsmermd.2003.52_5.

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31

Suzumura, Akihiro. "Aging Speed Oriented Information Society and Illumination." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 69, no. 3 (1985): 134–38. http://dx.doi.org/10.2150/jieij1980.69.3_134.

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32

Fischer, A. J., A. J. Arnold, and M. Gibbs. "Information and the Speed of Innovation Adoption." American Journal of Agricultural Economics 78, no. 4 (1996): 1073–81. http://dx.doi.org/10.2307/1243863.

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33

Friedman, Howard, Harvey A. Taub, Joseph F. Sturr, Katherine L. Church, and Richard A. Monty. "Hypnotizability and Speed of Visual Information Processing." International Journal of Clinical and Experimental Hypnosis 34, no. 3 (1986): 234–41. http://dx.doi.org/10.1080/00207148608406988.

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34

Akutsu, Mariko, Yasuhiro Oikawa, and Yoshio Yamasaki. "Extract voice information using high-speed camera." Journal of the Acoustical Society of America 133, no. 5 (2013): 3297. http://dx.doi.org/10.1121/1.4805440.

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35

Gerritsen, Marleen J. J., Ina J. Berg, Betto G. Deelman, Annemarie C. Visser-Keizer, and Betty Meyboom-de Jong. "Speed of Information Processing After Unilateral Stroke." Journal of Clinical and Experimental Neuropsychology 25, no. 1 (2003): 1–13. http://dx.doi.org/10.1076/jcen.25.1.1.13622.

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36

Oprean, Camelia, and Cristina Tănăsescu. "The Speed of Incorporating Information into Prices." Procedia Economics and Finance 6 (2013): 675–82. http://dx.doi.org/10.1016/s2212-5671(13)00188-3.

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37

Schweizer, Karl. "Verbal ability and speed of information-processing." Personality and Individual Differences 15, no. 6 (1993): 645–52. http://dx.doi.org/10.1016/0191-8869(93)90006-o.

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38

Wevers, K., and M. Lu. "Provision of in-vehicle speed limit information." IET Intelligent Transport Systems 1, no. 3 (2007): 205. http://dx.doi.org/10.1049/iet-its:20060041.

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39

Chan, Dennis, and M. Ariff. "Speed of share price adjustment to information." Managerial Finance 28, no. 8 (2002): 44–65. http://dx.doi.org/10.1108/03074350210768004.

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40

Wareing, Michelle, John E. Fisk, Catharine Montgomery, Philip N. Murphy, and Martin D. Chandler. "Information processing speed in ecstasy (MDMA) users." Human Psychopharmacology: Clinical and Experimental 22, no. 2 (2007): 81–88. http://dx.doi.org/10.1002/hup.827.

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41

Watamaniuk, Scott N. J., and Andrew Duchon. "The human visual system averages speed information." Vision Research 32, no. 5 (1992): 931–41. http://dx.doi.org/10.1016/0042-6989(92)90036-i.

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42

Grootjen, Jesse W., Philipp Thalhammer, and Thomas Kosch. "Your Eyes on Speed: Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual Reality." Proceedings of the ACM on Human-Computer Interaction 8, MHCI (2024): 1–17. http://dx.doi.org/10.1145/3676531.

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Rapid Serial Visual Presentation (RSVP) improves the reading speed for optimizing the user's information processing capabilities on Virtual Reality (VR) devices. Yet, the user's RSVP reading performance changes over time while the reading speed remains static. In this paper, we evaluate pupil dilation as a physiological metric to assess the mental workload of readers in real-time. We assess mental workload under different background lighting and RSVP presentation speeds to estimate the optimal color that discriminates the pupil diameter varying RSVP presentation speeds. We discovered that a gr

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43

Petković, Dalibor, Muhammad Arif, Shahaboddin Shamshirband, Ehab Hussein Bani-Hani, and Davood Kiakojoori. "Sensorless Estimation of Wind Speed by Soft Computing Methodologies: A Comparative Study." Informatica 26, no. 3 (2015): 493–508. http://dx.doi.org/10.15388/informatica.2015.60.

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44

Oktrifianto, Rahmat, Dani Adhipta, and Warsun Najib. "Page Load Time Speed Increase on Disease Outbreak Investigation Information System Website." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 4 (2019): 114. http://dx.doi.org/10.22146/ijitee.46599.

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Outbreaks or extraordinary events often become an issue that occurs in Indonesia. Therefore, an outbreak investigation information system is required to collect, manage and analyze data quickly and accurately. On the other hand, challenges in data accessing processes in certain locations are still constrained by a slow internet connection. This paper conducted speed increase of a page load or site speed time from disease outbreaks investigation information system website.Page load time speed testing was carried out using Google Chrome Developer Tools and using simulation speeds of 2.5 Mbps. Te

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45

Catani, Lorenzo, Jean-Michel Tremblay, Marco Bassani, and Cinzia Cirillo. "Methodology to Backcalculate Individual Speed Data Originally Aggregated by Road Detectors." Transportation Research Record: Journal of the Transportation Research Board 2659, no. 1 (2017): 1–14. http://dx.doi.org/10.3141/2659-01.

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Highway and traffic engineers collect vehicular speed data with detectors based on a variety of fixed and mobile device technologies, to support analysis and design activities. Most acquisition units aggregate speed data into speed classes for ease of management and storage. An unfortunate result of this practice is a significant loss of content associated with individual speed data. Moreover, the use of individual speeds is often necessary to support road safety analysis and speed management decisions. For bridging of this gap, this paper introduces an algorithm that disaggregates speed data

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46

Kantor, Frederick W. "Photon wavelength, information transport speed, and mass. An information mechanics perspective." International Journal of Theoretical Physics 36, no. 6 (1997): 1317–19. http://dx.doi.org/10.1007/bf02435925.

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47

Zhang, Chuan, Liehuang Zhu, Chang Xu, Xiaojiang Du, and Mohsen Guizani. "A Privacy-Preserving Traffic Monitoring Scheme via Vehicular Crowdsourcing." Sensors 19, no. 6 (2019): 1274. http://dx.doi.org/10.3390/s19061274.

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The explosive number of vehicles has given rise to a series of traffic problems, such as traffic congestion, road safety, and fuel waste. Collecting vehicles’ speed information is an effective way to monitor the traffic conditions and avoid vehicles’ congestion, however it may threaten vehicles’ location and trajectory privacy. Motivated by the fact that traffic monitoring does not need to know each individual vehicle’s speed and the average speed would be sufficient, we propose a privacy-preserving traffic monitoring (PPTM) scheme to aggregate vehicles’ speeds at different locations. In PPTM,

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48

Woo, S. H., K. W. Yoon, Y. K. Moon, et al. "High Speed Receiver for Capsule Endoscope." Journal of Medical Systems 34, no. 5 (2009): 843–47. http://dx.doi.org/10.1007/s10916-009-9298-1.

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49

Gámez Serna, Citlalli, and Yassine Ruichek. "Dynamic Speed Adaptation for Path Tracking Based on Curvature Information and Speed Limits." Sensors 17, no. 6 (2017): 1383. http://dx.doi.org/10.3390/s17061383.

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50

Simoncini, C., L. U. Perrinet, A. Montagnini, P. Mamassian, and G. S. Masson. "Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation." Journal of Vision 10, no. 7 (2010): 834. http://dx.doi.org/10.1167/10.7.834.

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