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Journal articles on the topic 'Medium Data'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Ghosh, T. K., and P. K. Mukherjee. "Atomic data of medium-Zions." Physica Scripta 55, no. 3 (1997): 273–76. http://dx.doi.org/10.1088/0031-8949/55/3/004.

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2

Ravi Kanth, K. V., Siva Ravada, Jayant Sharma, and Jay Banerjee. "Indexing medium-dimensionality data in Oracle." ACM SIGMOD Record 28, no. 2 (1999): 521–22. http://dx.doi.org/10.1145/304181.304240.

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3

Kart, Özge, Gamze Özçelik, and Alp Kut. "Intelligent Data Analysis on a Cloud for Small and Medium Sized Enterprises." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 04, no. 04 (2016): 01–05. http://dx.doi.org/10.9756/sijcsea/v4i4/04040090401.

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4

Kim, Jae Sung, and Wan Sup Cho. "Data analysis of 4M data in small and medium enterprises." Journal of the Korean Data and Information Science Society 26, no. 5 (2015): 1117–28. http://dx.doi.org/10.7465/jkdi.2015.26.5.1117.

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5

Guarino, Stefano, Eyup S. Canlar, Mauro Conti, Roberto Di Pietro, and Agusti Solanas. "Provable Storage Medium for Data Storage Outsourcing." IEEE Transactions on Services Computing 8, no. 6 (2015): 985–97. http://dx.doi.org/10.1109/tsc.2014.2355229.

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6

Enge, P. K., and K. E. Olson. "Medium frequency broadcast of differential GPS data." IEEE Transactions on Aerospace and Electronic Systems 26, no. 4 (1990): 607–17. http://dx.doi.org/10.1109/7.55554.

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7

Lukkari, Teemu. "The porous medium equation with measure data." Journal of Evolution Equations 10, no. 3 (2010): 711–29. http://dx.doi.org/10.1007/s00028-010-0067-x.

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8

Tag�e�a-Mart�nez, J., J. A. del R�o, and J. E. Lugo. "Effective Medium Correlations for Experimental Absorption Data." physica status solidi (a) 182, no. 1 (2000): 291–95. http://dx.doi.org/10.1002/1521-396x(200011)182:1<291::aid-pssa291>3.0.co;2-s.

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9

Frank, Jiri, and Jakub Belka. "Data Infrastructure for Scientific and Collections Data in Medium Size Institution." Proceedings of TDWG 1 (August 18, 2017): e20429. http://dx.doi.org/10.3897/tdwgproceedings.1.20429.

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10

Yamauchi, Akira. "Performance data modifying method, Performance data modifying apparatus, and storage medium." Journal of the Acoustical Society of America 113, no. 4 (2003): 1794. http://dx.doi.org/10.1121/1.1572377.

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11

Matoba, Osamu, Kodo Fujimoto, and Kouichi Nitta. "Iterative data reconstruction in a thin photonic data storage medium using three-dimensional absorbers in a scattering volume medium." Optics Letters 34, no. 7 (2009): 998. http://dx.doi.org/10.1364/ol.34.000998.

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12

Herman Rapaport. "Big Data: Communicating Outside the Medium of Meaning." symplokē 24, no. 1-2 (2016): 447. http://dx.doi.org/10.5250/symploke.24.1-2.0447.

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13

Schaeffer, Donna M., and Patrick C. Olson. "Big Data Options For Small And Medium Enterprises." Review of Business Information Systems (RBIS) 18, no. 1 (2014): 41–46. http://dx.doi.org/10.19030/rbis.v18i1.8542.

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14

Lauten, Justus. "Sensor Data at Small and Medium-sized Enterprises." Zeitschrift für geistiges Eigentum 9, no. 3 (2017): 279. http://dx.doi.org/10.1628/186723717x15069451170865.

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15

Nawroth, Andreas P., and Joachim Peinke. "Medium and small-scale analysis of financial data." Physica A: Statistical Mechanics and its Applications 382, no. 1 (2007): 193–98. http://dx.doi.org/10.1016/j.physa.2007.03.041.

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16

Brotz, Gregory R. "Speech translation system utilizing holographic data storage medium." Journal of the Acoustical Society of America 121, no. 1 (2007): 25. http://dx.doi.org/10.1121/1.2434311.

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17

Bernal, M.-P., G. W. Burr, H. Coufal, et al. "Holographic-Data-Storage Materials." MRS Bulletin 21, no. 9 (1996): 51–60. http://dx.doi.org/10.1557/s088376940003637x.

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In holographic data storage, a photo-sensitive medium is exposed to the interference pattern that is generated when an object beam, with an input data page encoded in the spatial profile of the beam, is intersected by a second, coherent laser beam. The photosensitive medium replicates these interference fringes as a change in optical absorption, refractive index, or thickness. Data are retrieved from the medium by exposing it to light from just one of the beams, which is then diffracted from the stored fringe pattern to reconstruct the other beam, including all the information that had been in

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18

Barazzetti, L., M. Gianinetto, and M. Scaioni. "Automatic registration of multi-source medium resolution satellite data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (September 19, 2014): 23–28. http://dx.doi.org/10.5194/isprsarchives-xl-7-23-2014.

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Multi-temporal and multi-source images gathered from satellite platforms are nowadays a fundamental source of information in several domains. One of the main challenges in the fusion of different data sets consists in the registration issue, i.e., the integration into the same framework of images collected with different spatial resolution and acquisition geometry. This paper presents a novel methodology to accomplish this task on the basis of a method that stands out from existing approaches. The whole data (time series) set is simultaneously co-registered with a two-dimensional multiple Leas

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19

Hieu, Dang Quang, and Nguyen Xuan Truong. "Data Processing Method in Medium Range Coastal Radar Complex." Journal of the Russian Universities. Radioelectronics, no. 3 (July 19, 2018): 35–41. http://dx.doi.org/10.32603/1993-8985-2018-21-3-35-41.

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The article presents the basic principles of design and development of integrated middle range Coastal Surveillance System (CSS) used for water surface lookout. It provides solutions for such missions as command and control of maritime forces, border monitoring and control, prevention of illegal activities such as piracy, smuggling, illegal immigration, illegal fishing, supporting search and rescue (SAR) operations, and creates a common situation awareness picture of the Naval Theatre. The system structure diagram is designed to solve computational overload problem when processing large volume

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20

Xian-yao, Chen, and Cheng Chang-jun. "Discrete inverse method for viscoelastic medium with complete data." Computer Methods in Applied Mechanics and Engineering 189, no. 1 (2000): 77–90. http://dx.doi.org/10.1016/s0045-7825(99)00464-8.

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21

Kamaruddin, Norhaslinda, Raja Durratun Safiyah, and Abdul Wahab. "Small and medium enterprise business solutions using data visualization." Bulletin of Electrical Engineering and Informatics 9, no. 6 (2020): 2562–68. http://dx.doi.org/10.11591/eei.v9i6.2463.

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The small and medium enterprise (SME) companies optimize performance using different automated systems to highlight the operations concerns. However, lack of efficient visualization in reporting results in slow feedbacks, difficulties in extracting root cause, and minimal corrective actions. To complicate matters, the data heterogeneity has intensely increased, and it is produced in a fast manner making it unmanageable if the traditional methods of analytics are applied. Hence, we propose the use of a dashboard that can summarize the operational events using real-time data based on the data vi

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22

T., Osvaldo Venegas. "The Porous Medium Equation With Blowing Up Boundary Data." Advanced Nonlinear Studies 9, no. 1 (2009): 1–27. http://dx.doi.org/10.1515/ans-2009-0101.

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23

EDREI, Tsah, and Shabtai ISAAC. "Construction site safety control with medium-accuracy location data." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 3 (2016): 384–92. http://dx.doi.org/10.3846/13923730.2016.1144644.

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A statistical safety control method is presented that utilizes location data from a relatively inaccurate yet cost-effective system to track workers in real time, and prevent unsafe situations at construction sites. In light of the inaccuracy of the tracking system, buffer areas are defined as statistical zones, at some distance from potential workplace hazards. Statistical alerts are created according to predefined rules when the hazard exposure of workers in those zones crosses a certain threshold. The results of tests of the method demonstrate that the model is able to successfully process

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24

Misaka, Takashi, Koji Shimoyama, Shigeru Obayashi, and Hironobu Yamakawa. "Drag parameter estimation of porous medium using data assimilation." Proceedings of The Computational Mechanics Conference 2014.27 (2014): 213–14. http://dx.doi.org/10.1299/jsmecmd.2014.27.213.

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25

Pennington, J. "Techniques for medium-speed data transmission over HF channels." IEE Proceedings I Communications, Speech and Vision 136, no. 1 (1989): 11. http://dx.doi.org/10.1049/ip-i-2.1989.0002.

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26

Watzlawik, K. H., R. Nellen, T. Noll, M. Karnadi, and H. Machner. "FATIMA-a data acquisition system for medium scale experiments." IEEE Transactions on Nuclear Science 39, no. 2 (1992): 154–58. http://dx.doi.org/10.1109/23.277475.

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27

de Laat, C. T. A. M., and P. G. Kuijer. "Data acquisition system for small to medium size experiments." IEEE Transactions on Nuclear Science 41, no. 1 (1994): 58–60. http://dx.doi.org/10.1109/23.281457.

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28

Poria, Yaniv, and Harmen Oppewal. "A new medium for data collection: online news discussions." International Journal of Contemporary Hospitality Management 15, no. 4 (2003): 232–36. http://dx.doi.org/10.1108/09596110310475694.

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This paper explores the possible uses of online news discussions that emerge following the publication of news on the Internet. It is suggested that this medium provides those investigating consumer behaviour with a new, previously unavailable, source of information (at almost no direct cost). The unique attributes of this medium are presented, and examples of discussions are provided that emphasise possible implications for hotel managers and marketers.

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29

Koehn, Enno, and Stuart B. Caplan. "Work Improvement Data for Small and Medium Size Contractors." Journal of Construction Engineering and Management 113, no. 2 (1987): 327–39. http://dx.doi.org/10.1061/(asce)0733-9364(1987)113:2(327).

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30

Caviglia, G., and A. Morro. "Inversion of reflection data in an isotropic multilayered medium." Acta Mechanica 189, no. 1-4 (2006): 65–72. http://dx.doi.org/10.1007/s00707-006-0408-6.

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31

Alsarayrah, Jameel, and AlaaTawfiq AL-Zyadat. "Multidimensional Small Medium Enterprises Achievement Rating : Improving to Data Warehousing & Data Mining Methods." International Journal of Information Technology Convergence and Services 8, no. 1/2 (2018): 01–08. http://dx.doi.org/10.5121/ijitcs.2018.8201.

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32

Zong, Zhaoyun, Xingyao Yin, Guochen Wu, and Zhiping Wu. "Elastic inverse scattering for fluid variation with time-lapse seismic data." GEOPHYSICS 80, no. 2 (2015): WA61—WA67. http://dx.doi.org/10.1190/geo2014-0183.1.

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Elastic inverse-scattering theory has been extended for fluid discrimination using the time-lapse seismic data. The fluid factor, shear modulus, and density are used to parameterize the reference medium and the monitoring medium, and the fluid factor works as the hydrocarbon indicator. The baseline medium is, in the conception of elastic scattering theory, the reference medium, and the monitoring medium is corresponding to the perturbed medium. The difference in the earth properties between the monitoring medium and the baseline medium is taken as the variation in the properties between the re

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33

Zhou, Ningning, Guofang Huang, and Suyang Zhong. "Big Data Validity Evaluation Based on MMTD." Mathematical Problems in Engineering 2018 (June 10, 2018): 1–6. http://dx.doi.org/10.1155/2018/8058670.

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Big data has been studied extensively in recent years. With the increase in data size, data quality becomes a priority. Evaluation of data quality is important for data management, which influences data analysis and decision making. Data validity is an important aspect of data quality evaluation. Based on 3V properties of big data, dimensions that have a major influence on data validity in a big data environment are analyzed. Each data validity dimension is analyzed qualitatively using medium logic. The measuring of medium truth degree is used to propose models to measure single and multiple d

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34

Balibek, Emre, Tobias Haque, Diego Rivetti, and Miriam Tamene. "Medium-Term Debt Management Strategy Analytical Tool: Data Preparation Manual." Technical Notes and Manuals 19, no. 003 (2019): 1. http://dx.doi.org/10.5089/9781498314985.005.

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35

Tanaka, Hiroyuki K. M., and Michinori Ohshiro. "Muographic data analysis method for medium-sized rock overburden inspections." Geoscientific Instrumentation, Methods and Data Systems 5, no. 2 (2016): 427–35. http://dx.doi.org/10.5194/gi-5-427-2016.

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Abstract. Muographic measurements of rock overburdens are of particular interest because they can be applied to natural resources and undiscovered cave explorations, and even to searching for hidden chambers in historic architectural structures. In order to derive the absolute density distribution of the overburden, we conventionally needed to know accurate information about the measurement conditions, e.g., the detector's geometrical acceptance, detection efficiency, and measurement time, in order to derive the absolute value of the transmitted muon flux. However, in many cases, it is not a s

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36

Kudela, K., M. Slivka, D. G. Sibeck, et al. "Medium energy proton fluxes outside the magnetopause: INTERBALL-1 data." Advances in Space Research 25, no. 7-8 (2000): 1517–22. http://dx.doi.org/10.1016/s0273-1177(99)00664-x.

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37

Cerepi, Adrian, Louis Humbert, and René Burlot. "Petrophysical properties of porous medium from Petrographic Image Analysis data." Colloids and Surfaces A: Physicochemical and Engineering Aspects 187-188 (August 2001): 233–56. http://dx.doi.org/10.1016/s0927-7757(01)00636-7.

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38

Yapıcı, Hüseyin, Veysel Özceyhan, and Osman Ipek. "Integral data for incident fusion source neutrons in infinite medium." Annals of Nuclear Energy 29, no. 12 (2002): 1471–81. http://dx.doi.org/10.1016/s0306-4549(01)00124-4.

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39

Chen, Xian-yao, and Chang-jun Cheng. "Reconstruction of relaxation modulus for viscoelastic medium with complete data." Journal of Computational and Applied Mathematics 131, no. 1-2 (2001): 445–56. http://dx.doi.org/10.1016/s0377-0427(00)00257-0.

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40

de Lima Bernardo, Bertúlio, and Fernando Moraes. "Data transmission by hypergeometric modes through a hyperbolic-index medium." Optics Express 19, no. 12 (2011): 11264. http://dx.doi.org/10.1364/oe.19.011264.

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41

Dohare, Rajeev K., Mainuddin Siddique, and Gaurav Singhal. "Hybrid Data Acquisition and Analysis System for Flowing Medium Lasers." Defence Science Journal 70, no. 3 (2020): 285–91. http://dx.doi.org/10.14429/dsj.70.14902.

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The medium gas lasers involves in-situ generation of the lasing medium, hence are associated with several complex processes including mixing of pumping and lasing species, energy exchange between the species, heat generation during reaction and its influence on the flow domain to list a few. Thus, the characterisation of lasing medium, condition of operation of individual critical subsystems and corresponding phenomenon thereof is essential in real time. It is here that a customised data acquisition and analysis system (DAAS) plays a key role. The paper dwells on the realisation of a customise

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42

Bögelein, Verena, Frank Duzaar, and Ugo Gianazza. "Porous Medium Type Equations with Measure Data and Potential Estimates." SIAM Journal on Mathematical Analysis 45, no. 6 (2013): 3283–330. http://dx.doi.org/10.1137/130925323.

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43

KRUPA, M. M. "CONTROL SPIN CURRENT AND DATA RECORDING ON SPIN STORAGE MEDIUM." SPIN 04, no. 03 (2014): 1450006. http://dx.doi.org/10.1142/s2010324714500064.

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The paper presents the results of experimental studies of the physical mechanisms and dynamics of magnetization reversal of the films Al 2 O 3/ Tb 25 Co 5 Fe 70/ Al 2 O 3, Al 2 O 3/ Tb 22 Co 5 Fe 73/ Al 2 O 3, Al 2 O 3/ Tb 19 Co 5 Fe 76/ Al 2 O 3, Al 2 O 3/ Co 30 Fe 70/ Al 2 O 3 with a single magnetic layer and the films Al 2 O 3/ Tb 22 Co 5 Fe 73/ Pr 6 O 11/ Tb 19 Co 5 Fe 76/ Al 2 O 3, Al 2 O 3/ Co 80 Fe 20/ Pr 6 O 11/ Co 30 Fe 70/ Al 2 O 3 with two magnetic layers radiated by picosecond (τi ≈ 80 ps ) and femtosecond (τi ≈ 130 fs ) laser pulses. The experimental samples of spin transistors an

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44

Nobukawa, Teruyoshi, Takashi Fukuda, Daisuke Barada, and Takanori Nomura. "Coaxial polarization holographic data recording on a polarization-sensitive medium." Optics Letters 41, no. 21 (2016): 4919. http://dx.doi.org/10.1364/ol.41.004919.

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45

Maroufkhani, Parisa, Wan Khairuzzaman Wan Ismail, and Morteza Ghobakhloo. "Big data analytics adoption model for small and medium enterprises." Journal of Science and Technology Policy Management 11, no. 4 (2020): 483–513. http://dx.doi.org/10.1108/jstpm-02-2020-0018.

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Purpose Big data analytics (BDA) is recognized as a turning point for firms to improve their performance. Although small- and medium-sized enterprises (SMEs) are crucial for every economy, they are lagging far behind in the usage of BDA. This study aims to provide a single and unified model for the adoption of BDA among SMEs with the integration of the technology–organization–environment (TOE) model and resource-based view. Design/methodology/approach A survey of 112 manufacturing SMEs in Iran was conducted, and the data were analysed using structural equation modelling to test the model of th

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46

Parker, Richard I., Kimberly J. Vannest, John L. Davis, and Nathan H. Clemens. "Defensible Progress Monitoring Data for Medium- and High-Stakes Decisions." Journal of Special Education 46, no. 3 (2010): 141–51. http://dx.doi.org/10.1177/0022466910376837.

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47

Bögelein, Verena, Frank Duzaar, and Ugo Gianazza. "Continuity estimates for porous medium type equations with measure data." Journal of Functional Analysis 267, no. 9 (2014): 3351–96. http://dx.doi.org/10.1016/j.jfa.2014.08.014.

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48

Lee, Changhyun, Kwon Gyu Park, Inhwa Park, Byoungjoon Yoon, and Kichang Yang. "Image point transform method for VSP data in VTI medium." Journal of Applied Geophysics 90 (March 2013): 53–61. http://dx.doi.org/10.1016/j.jappgeo.2012.12.007.

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49

Li, Peiqing, and A. G. Ramm. "Numerical recovery of the layered medium from the surface data." Journal of Computational and Applied Mathematics 25, no. 3 (1989): 267–76. http://dx.doi.org/10.1016/0377-0427(89)90031-9.

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50

Yang, Bingkun, and Evert C. Slob. "MARCHENKO INVERSION OF GPR DATA FOR A 1D DISSIPATIVE MEDIUM." Progress In Electromagnetics Research M 102 (2021): 65–79. http://dx.doi.org/10.2528/pierm21020901.

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