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Journal articles on the topic 'Large-System'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Jiachen Yu, Jiachen Yu, Pingjun Wang Pingjun Wang, Qi Yu Qi Yu, Yin Zhang Yin Zhang, Wei Xiong Wei Xiong, and Xuzong Chen Xuzong Chen. "Stabilized DFB laser system with large tuning range." Chinese Optics Letters 16, no. 3 (2018): 031403. http://dx.doi.org/10.3788/col201816.031403.

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2

Liu, Tiecheng, Jingpei Hu, Linglin Zhu, Ruyi Zhou, Chong Zhang, Chinhua Wang, Aijun Zeng, and Huijie Huang. "Large effective aperture metalens based on optical sparse aperture system." Chinese Optics Letters 18, no. 10 (2020): 100001. http://dx.doi.org/10.3788/col202018.100001.

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3

Shigeta, Teruaki, and Hideo Nishiyama. "Large screen display system." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 73, no. 12 (1989): 771–76. http://dx.doi.org/10.2150/jieij1980.73.12_771.

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4

Ostrovsky, G. M., Ye M. Mikhailova, and T. A. Berezhinsky. "Large-scale system optimization." Computers & Chemical Engineering 10, no. 2 (January 1986): 123–28. http://dx.doi.org/10.1016/0098-1354(86)85024-4.

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5

Smagina, Yelena M. "System Zero Determination in Large Scale System." IFAC Proceedings Volumes 28, no. 10 (July 1995): 131–35. http://dx.doi.org/10.1016/s1474-6670(17)51505-0.

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6

Gao, Jingjun, Zhixing Li, Changzheng Shan, and Wei Gao. "The Design of the Shock Mitigation System of Large Cone Crusher." International Journal of Materials, Mechanics and Manufacturing 3, no. 3 (2015): 162–65. http://dx.doi.org/10.7763/ijmmm.2015.v3.187.

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7

Shixue Zhang, Shixue Zhang, Jinyu Zhao Jinyu Zhao, and Jianli Wang Jianli Wang. "High resolution astronomical image restoration system for large ground-based telescope." Chinese Optics Letters 10, s2 (2012): S21004–321007. http://dx.doi.org/10.3788/col201210.s21004.

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8

MITO, Toshiyuki, Sadao SATOH, and Ryuji MAEKAWA. "Superconducting System for the Large Helical Device. Cryogenic System for the Large Helical Device. Cryogenic System." TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 32, no. 11 (1997): 608–16. http://dx.doi.org/10.2221/jcsj.32.608.

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9

Biglieri, Ezio, and Giorgio Taricco. "Large-system analyses of multiple-antenna system capacities." Journal of Communications and Networks 5, no. 2 (June 2003): 96–103. http://dx.doi.org/10.1109/jcn.2003.6596565.

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10

TAKIZAWA, Naoya, Naoko OGURA, and Toru IWAO. "Control the Large-Scale System." Journal of The Institute of Electrical Engineers of Japan 130, no. 10 (2010): 698–701. http://dx.doi.org/10.1541/ieejjournal.130.698.

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11

Steinke, Gerhard. "Large‐area acoustic radiation system." Journal of the Acoustical Society of America 87, no. 4 (April 1990): 1836. http://dx.doi.org/10.1121/1.399356.

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12

Grupe, Fritz H. "Building a Large Expert System." Information Systems Management 13, no. 4 (January 1996): 33–40. http://dx.doi.org/10.1080/10580539608907014.

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13

Showstack, Randy. "Large solar system planetoid discovered." Eos, Transactions American Geophysical Union 85, no. 10 (2004): 98. http://dx.doi.org/10.1029/eo085i010p00098-03.

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14

Dabin, Yves. "Large accelerator vacuum system engineering." Vacuum 67, no. 3-4 (September 2002): 347–57. http://dx.doi.org/10.1016/s0042-207x(02)00224-5.

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15

Du Pont (UK) Limited. "Scanning system for large surfaces." NDT & E International 23, no. 4 (August 1990): 243. http://dx.doi.org/10.1016/0963-8695(90)90984-q.

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16

Milivojevic, Milan. "Large Scale Process System Optimization." Science Research 3, no. 3 (2015): 58. http://dx.doi.org/10.11648/j.sr.20150303.13.

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17

Tatman, Judy, and Janiece Zauner. "Large-System Acute Care Transformation." Nursing Administration Quarterly 38, no. 1 (2014): 62–68. http://dx.doi.org/10.1097/naq.0000000000000007.

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18

Du Pont (UK) Limited. "Scanning system for large surfaces." NDT International 23, no. 4 (August 1990): 243. http://dx.doi.org/10.1016/0308-9126(90)91720-e.

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19

Fang Liu, Fang Liu, Jianqiang Zhu Jianqiang Zhu, Jia Xu Jia Xu, Quanyuan Shan Quanyuan Shan, Kun Xiao Kun Xiao, and Xuejie Zhang Xuejie Zhang. "Micro-vibrating spatial filters-induced beam positioning stability in large laser system." Chinese Optics Letters 10, no. 4 (2012): 041402–41404. http://dx.doi.org/10.3788/col201210.041402.

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20

Nakamori, Y., and C. D. Liu. "Integrated Model Based System for Large Scale System Development." IFAC Proceedings Volumes 25, no. 18 (August 1992): 275–80. http://dx.doi.org/10.1016/s1474-6670(17)49983-6.

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21

Overbye, T. J. "Power system simulation: understanding small- and large-system operations." IEEE Power and Energy Magazine 2, no. 1 (January 2004): 20–30. http://dx.doi.org/10.1109/mpae.2004.1263413.

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22

Simon, Judy. "Performance Analysis of Cooperative Large MIMO-OFDM System for Downlink and Uplink Mitigation." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 421–31. http://dx.doi.org/10.5373/jardcs/v12sp4/20201506.

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23

Yoder, Jess. "MANAGING A LARGE WATER SYSTEM EXPANSION." Proceedings of the Water Environment Federation 2002, no. 4 (January 1, 2002): 122–28. http://dx.doi.org/10.2175/193864702785301547.

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24

Li, Rong Chang, and Ai Xia He. "Large Forging Expert System of Diagnosis." Applied Mechanics and Materials 65 (June 2011): 621–24. http://dx.doi.org/10.4028/www.scientific.net/amm.65.621.

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The diagnosis of forging process for large problems, the use of advanced expert system for diagnosis of large forging process, forging process design of a large diagnostic expert system structure is discussed in detail the working principle and function of each module, and to the knowledge representation and reasoning mechanism of the development of key technologies such as policy, practice shows that the expert system can solve large-scale forging process design and diagnosis of problems in the field, in large forging process improvement theory and techniques to improve the forging process with large modules scientific, intelligent with significance.

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25

Martin, Rodney L. "Finite Capacity Scheduling - Large System Design." Advanced Materials Research 421 (December 2011): 607–16. http://dx.doi.org/10.4028/www.scientific.net/amr.421.607.

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This paper presents the design principles for a large finite capacity scheduling system which takes into account alternative tools and machines. The system will produce tightly packed and stable schedules which in many cases will be close to optimal. The system can then be used as a platform for research into the application of decision making techniques, mathematical optimization, and other modern techniques.

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26

Pang, Ping, and Li Sun. "Research on Large Space Residential System." Advanced Materials Research 838-841 (November 2013): 2846–49. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2846.

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With the improvement of people's living standard, more and more diversified demands for residential space are put forward. Several structures can meet the requirements and they were studied here in order to solve large-space problem.

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27

Li, Rong Chang, and Ai Xia He. "Large Forging Expert System of Diagnosis." Applied Mechanics and Materials 203 (October 2012): 321–24. http://dx.doi.org/10.4028/www.scientific.net/amm.203.321.

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The diagnosis of forging process for large problems, the use of advanced expert system for diagnosis of large forging process, forging process design of a large diagnostic expert system structure is discussed in detail the working principle and function of each module, and to the knowledge representation and reasoning mechanism of the development of key technologies such as policy, practice shows that the expert system can solve large-scale forging process design and diagnosis of problems in the field, in large forging process improvement theory and techniques to improve the forging process with large modules scientific, intelligent with significance.

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28

Freeman, Raoul J. "Large Scale Educational Data System Implementation." Journal of Research on Computing in Education 20, no. 1 (September 1986): 67–76. http://dx.doi.org/10.1080/08886504.1986.11008437.

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29

Cutler, Harvey, Stephen Davies, and Martin B. Schmidt. "Forecasting in a large macroeconomic system." Applied Economics 32, no. 13 (October 2000): 1711–18. http://dx.doi.org/10.1080/000368400421057.

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30

Sacks, Russell D., and Michael J. Blankenship. "SEC proposes large trader reporting system." Journal of Investment Compliance 11, no. 3 (September 14, 2010): 8–13. http://dx.doi.org/10.1108/15285811011082188.

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31

Blanc, Roger D., Daniel Schloendorn, Howard L. Kramer, Martin R. Miller, and Matthew B. Comstock. "SEC adopts large trader reporting system." Journal of Investment Compliance 12, no. 4 (November 29, 2011): 31–39. http://dx.doi.org/10.1108/15285811111188144.

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32

Shin, Sung Woo, Kang Sik Kim, and Kwang Soo Lee. "Shear Characteristics of Large Anchorage System." Applied Mechanics and Materials 284-287 (January 2013): 1273–79. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1273.

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Large anchorage system with anchor bolt exceeding 50mm of bolt diameter or effective embedment depth deeper than 635mm is usually used in nuclear concrete structure, but shear design criteria for large anchorage system is not clearly addressed by ACI 349-06 Appendix B (ACI 349, 2006). Therefore, to find out the shear characteristics of large anchorage system, 24 prototype specimens were manufactured and tested by ASTM E 488. Test variables are anchor bolt diameter( do= 63.5, 76.2, 88.9mm), effective embedment depth ( hef= 635, 762mm), and edge distance( c1=381, 508, 762mm). Concrete compressive strength was constant.( f'c= 38MPa) and anchor bolt(steel), high strength anchor bolts of ASTM A 540 class B were used. Test results as follows : Shear strengths calculated by ACI 349-06 and CCD method overestimate shear strength of large anchorage system exceeding 50mm of bolt diameter(do ). As the edge distance(c1 ) increased, the shear breakout fracture force increases. Anchor bolt diameter(do ) and effective embedment depth(hef ) have little influence on shear strength of large anchorage system, but edge distance(c1 ) is more related with shear strength of large anchorage system.

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33

Ghosh, A., G. Ledwich, G. S. Hope, and O. P. Malik. "Power system stabiliser for large disturbances." IEE Proceedings C Generation, Transmission and Distribution 132, no. 1 (1985): 14. http://dx.doi.org/10.1049/ip-c.1985.0003.

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34

Doany, F. E., T. Ainsworth, N. Bobroff, D. Goodman, and A. E. Rosenbluth. "Large-field scanning laser ablation system." IBM Journal of Research and Development 41, no. 1.2 (January 1997): 131–42. http://dx.doi.org/10.1147/rd.411.0131.

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35

Chess, D. M., and M. F. Cowlishaw. "A large-scale computer conferencing system." IBM Systems Journal 26, no. 1 (1987): 138–53. http://dx.doi.org/10.1147/sj.261.0138.

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36

Johnson, M. E. "System design considerations for large detectors." IEEE Transactions on Nuclear Science 36, no. 1 (1989): 458–61. http://dx.doi.org/10.1109/23.34482.

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37

Frost, D. J., B. T. Poe, R. G. Trønnes, C. Liebske, A. Duba, and D. C. Rubie. "A new large-volume multianvil system." Physics of the Earth and Planetary Interiors 143-144 (June 2004): 507–14. http://dx.doi.org/10.1016/j.pepi.2004.03.003.

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38

Chernin, Semen M. "Multipass System with Large Relative Aperture." Journal of Modern Optics 39, no. 3 (March 1992): 525–32. http://dx.doi.org/10.1080/09500349214550511.

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39

Matsuda, K., F. Fukumaru, Y. Mizutani, M. Konishi, and K. Matsunaga. "Large diameter ion beam implantation system." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 21, no. 1-4 (January 1987): 314–16. http://dx.doi.org/10.1016/0168-583x(87)90848-2.

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40

Rosenberg, L., I. T. Jackson, D. Sharpe, and J. Weiss. "Large volume injection and infiltration system." European Journal of Plastic Surgery 9, no. 4 (April 1987): 158–59. http://dx.doi.org/10.1007/bf00452770.

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41

MOTOJIMA, Osamu. "Superconducting System for the Large Helical Device. Large Helical Device Project." TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 32, no. 11 (1997): 540–47. http://dx.doi.org/10.2221/jcsj.32.540.

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42

Li, W., W. H. Gui, Y. F. Xie, and S. X. Ding. "Decentralized Fault Detection System Design For Large-scale Interconnected System." IFAC Proceedings Volumes 42, no. 8 (2009): 816–21. http://dx.doi.org/10.3182/20090630-4-es-2003.00134.

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43

Østrup, T. "Area Models Representing Power System Control for Large System Investigations." IFAC Proceedings Volumes 23, no. 8 (August 1990): 115–20. http://dx.doi.org/10.1016/s1474-6670(17)51406-8.

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44

MAEKAWA, Ryuji, Toshiyuki MITO, and Sadao SATOH. "Superconducting System for the Large Helical Device. Cryogenic System for the Large Helical Device. The Helium Refrigerator/Liquefier for Large Helical Device." TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 32, no. 11 (1997): 617–23. http://dx.doi.org/10.2221/jcsj.32.617.

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45

Rataj, V., J. Galambošová, and M. Vašek. "Determining the guidance system accuracy with the support of a large GNSS dataset." Research in Agricultural Engineering 59, Special Issue (December 13, 2013): S65—S70. http://dx.doi.org/10.17221/60/2012-rae.

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Several methods are used presently to assess the accuracy of machinery guidance systems. However, these offer a limited number of records and are time and cost consuming. As the machinery is often equipped with a monitoring system for the management purposes, these data can be used. The aim of this work was to develop and verify a method to determine the accuracy of the machinery guidance systems based on a large dataset obtained from the machinery monitoring system. The proposed method uses the transformation of global navigation satellite systems (GNSS) data into a rectangular coordinate system SJTSK (National projection system – Krovak projection). Based on the geometry principle, the ideal line can be determined, and afterwards, the off-track error of each actual position can be calculated. After the verification of this method, it can be concluded that it brings benefits in terms of further use of the data from the monitoring systems, the estimation of the error based on a robust dataset, elimination of subjective and measurement method errors, as well as spatial localisation of the off-track errors at the field.

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46

Zádorová, Tereza, Daniel Žížala, Vít Penížek, and Aleš Vaněk. "Harmonisation of a large-scale historical database with the actual Czech soil classification system." Soil and Water Research 15, No. 2 (March 11, 2020): 101–15. http://dx.doi.org/10.17221/41/2019-swr.

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The possibility of the adequate use of data and maps from historical soil surveys depends, to a large measure, on their harmonisation. Legacy data originating from a large-scale national mapping campaign, “Systematic soil survey of agricultural soils in Czechoslovakia (SSS, 1961–1971)”, were harmonised and converted according to the actual system of soil classification and descriptions used in Czechia – the Czech taxonomic soil classification system (CTSCS). Applying the methods of taxonomic distance and quantitative analysis and reclassification of the selected soil properties, the conversion of two types of mapping soil units with different detailed soil information (General soil representative (GSR), and Basic soil representative (BSR)) to their counterparts in the CTSCS has been effectuated. The results proved the good potential of the used methods for the soil data harmonisation. The closeness of the concepts of the two classifications was shown when a number of soil classes had only one counterpart with a very low taxonomic distance. On the contrary, soils with variable soil properties were approximating several related units. The additional information on the soil skeleton content, texture, depth and parent material, available for the BSR units, showed the potential in the specification of some units, though the harmonisation of the soil texture turned out to problematic due to the different categorisation of soil particles. The validation of the results in the study region showed a good overall accuracy (75% for GSR, 76.1% for BSR) for both spatial soil units, when better performance has been observed in BSR. The conversion accuracy differed significantly in the individual soil units, and ranged from almost 100% in Fluvizems to 0% in Anthropozems. The extreme cases of a complete mis-classification can be attributed to inconsistencies originating in the historical database and maps. The study showed the potential of modern quantitative methods in the legacy data harmonisation and also the necessity of a critical approach to historical databases and maps.

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47

Feuereisel, J. "Practical verification of food supply to game in conditions of large-scale shelterwood system." Journal of Forest Science 51, No. 12 (January 10, 2012): 564–71. http://dx.doi.org/10.17221/4589-jfs.

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In the hunting district Hády (897 ha), which is operated by the Křtiny Training Forest Enterprise, 383 samples of biomass utilizable as wildlife forage were collected and analysed; they were also quantified on the basis of surface coverage of grass and woody undergrowth. Grass and herbaceous biomass production in forest stands was 180,740 kg (average 0.02 kg/m<sup>2</sup>), on road shoulders and other areas it amounted to 25,213 kg (average 0.150 kg/m<sup>2</sup>). The greatest diversity of plant species (72) was detected on the other areas. In total, forest and other areas provide 205,953 kg of utilizable grass and herbaceous biomass available during the vegetation period. Production of woody biomass, i.e. buds and shoots, amounted to 307,243 kg (average 0.035 kg/m<sup>2</sup>). The woody component of food in this locality was represented mainly by the species of beech, hornbeam, maple, and ash. Evaluation of sample plots revealed that the area covered by herbs and grasses in the studied forest unit was reduced due to a large-scale shelterwood system. On the other hand, a markedly increased supply of food from woody biomass was found to be available in the form of buds, leaves and shoots. The number of individuals in the advance regeneration of woody species in undergrowth ranged between 270 and 380,000 pcs/ha. Average values used for the calculation of utilizable energy in biomass were obtained from a laboratory measurement of biomass samples and complemented with data from literature. Average values of forest herbs and grasses = 0.60 MJ; buds, leaves and shoots in the growing season = 0.75 MJ. Average daily food consumption was converted to net digestible energy in MJ. In order to estimate food sufficiency with respect to quality energy requirements were calculated on the basis of the metabolic size of roe deer and hare bodies. In the quantitative assessment of available food supply, the standardized game stock would utilize 51% of grass and herbaceous forage and 7.5% of food from woody biomass. In the qualitative assessment of available food supply it was demonstrated that energy requirements of roe deer and hare were fully covered by their daily quantitative consumption of herbaceous, grass and woody biomass.

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48

Grigoriev, Mihail, László A. Gömze, and Sergey N. Kulkov. "Restructuring of Ceramics Features with Changes in the Large and Nanocrystalline Ceramic System Ratio." Epitoanyag - Journal of Silicate Based and Composite Materials 66, no. 2 (2014): 48–51. http://dx.doi.org/10.14382/epitoanyag-jsbcm.2014.10.

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49

SATOW, Takashi. "Superconducting System for the Large Helical Device. Review of the Superconducting System for the Large Helical Device." TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 32, no. 11 (1997): 548–52. http://dx.doi.org/10.2221/jcsj.32.548.

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50

Bandyopadhyay, Biswadeb. "A Large Software System Test Engineering Practices." American Journal of Advanced Computing 1, no. 3 (July 1, 2020): 1–10. http://dx.doi.org/10.15864/ajac.1301.

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The following Paper describes the experiences of a test engineering team, which had worked with a large software product development and support activity. This team has studied the existing software product, available test tools, test environment, with an objective of analyzing existing testing processes and methodologies for this large software product. The Paper discusses a number of initiatives and recommendations made by this test engineering group aimed at increasing the testing efficiency, optimizing the test suites, measuring and improving effectiveness of test cases and the quantifiable benefits and process improvements, that can derived from such initiatives. This activity was undertaken as part of a test engineering initiative to bring in place a set of innovative test engineering practices as potential business value drivers.

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