Journal articles on the topic 'Real-time testing'

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1

JAIN, ASTHA, JASMEEN KAUR, Ms NANCY, YOGITA BANSAL, BALRAJ SAINI, and GULSHAN BANSAL. "WHO Guided Real Time Stability Testing on Shankhpushpi Syrup." Journal of Pharmaceutical Technology, Research and Management 5, no. 1 (May 2, 2017): 1–19. http://dx.doi.org/10.15415/jptrm.2017.51001.

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2

Cavender, K. D. "Real Time Foam Performance Testing." Journal of Cellular Plastics 29, no. 4 (July 1993): 350–64. http://dx.doi.org/10.1177/0021955x9302900402.

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3

Thane, H., and H. Hansson. "Testing distributed real-time systems." Microprocessors and Microsystems 24, no. 9 (February 2001): 463–78. http://dx.doi.org/10.1016/s0141-9331(00)00099-5.

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4

Min, X. H., and H. Kato. "OS02W0045 Real-time measurement of ultrasonic wave in low-cycle fatigue testing." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS02W0045. http://dx.doi.org/10.1299/jsmeatem.2003.2._os02w0045.

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5

Vijay, A. S., Suryanarayana Doolla, and Mukul C. Chandorkar. "Real-Time Testing Approaches for Microgrids." IEEE Journal of Emerging and Selected Topics in Power Electronics 5, no. 3 (September 2017): 1356–76. http://dx.doi.org/10.1109/jestpe.2017.2695486.

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6

Grillenzoni, Carlo. "Testing for causality in real time." Journal of Econometrics 73, no. 2 (August 1996): 355–76. http://dx.doi.org/10.1016/s0304-4076(95)01729-1.

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7

Fredborg, M., K. R. Andersen, E. Jorgensen, A. Droce, T. Olesen, B. B. Jensen, F. S. Rosenvinge, and T. E. Sondergaard. "Real-Time Optical Antimicrobial Susceptibility Testing." Journal of Clinical Microbiology 51, no. 7 (April 17, 2013): 2047–53. http://dx.doi.org/10.1128/jcm.00440-13.

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8

Krichen, Moez, and Stavros Tripakis. "Conformance testing for real-time systems." Formal Methods in System Design 34, no. 3 (February 14, 2009): 238–304. http://dx.doi.org/10.1007/s10703-009-0065-1.

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9

Tracey, N., and J. McDermid. "Testing and testing techniques for real-time embedded software systems." Microprocessors and Microsystems 24, no. 9 (February 2001): 441. http://dx.doi.org/10.1016/s0141-9331(00)00096-x.

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10

Fujioka, H., K. Nakamae, M. Hirota, K. Ura, and S. Takashima. "A real-time electron beam testing system (IC testing application)." Journal of Physics E: Scientific Instruments 22, no. 3 (March 1989): 138–43. http://dx.doi.org/10.1088/0022-3735/22/3/001.

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11

Angara, Jayasri. "Continuous Testing Real-Time Health Analytics Dashboard." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 2 (April 25, 2020): 1713–19. http://dx.doi.org/10.30534/ijatcse/2020/123922020.

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12

Adjir, Noureddine, Pierre de Saqui-Sannes, and Kamel Mustapha Rahmouni. "Conformance Testing of Preemptive Real-Time Systems." International Journal of Embedded and Real-Time Communication Systems 4, no. 4 (October 2013): 1–26. http://dx.doi.org/10.4018/ijertcs.2013100101.

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The paper presents an approach for model-based black-box conformance testing of preemptive real-time systems using Labeled Prioritized Time Petri Nets with Stopwatches (LPrSwTPN). These models not only specify system/environment interactions and time constraints. They further enable modelling of suspend/resume operations in real-time systems. The test specification used to generate test primitives, to check the correctness of system responses and to draw test verdicts is an LPrSwTPN made up of two concurrent sub-nets that respectively specify the system under test and its environment. The algorithms used in the TINA model analyzer have been extended to support concurrent composed subnets. Relativized stopwatch timed input/output conformance serves as the notion of implementation correctness, essentially timed trace inclusion taking environment assumptions into account. Assuming the modelled systems are non deterministic and partially observable, the paper proposes a test generation and execution algorithm which is based on symbolic techniques and implements an online testing policy and outputs test results for the (part of the) selected environment.
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13

Fouchal, Hacène, Antoine Rollet, and Abbas Tarhini. "Robustness testing of composed real-time systems." Journal of Computational Methods in Sciences and Engineering 10, s2 (September 7, 2010): S135—S148. http://dx.doi.org/10.3233/jcm-2010-0274.

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14

En-Nouaary, A., R. Dssouli, and F. Khendek. "Timed Wp-method: testing real-time systems." IEEE Transactions on Software Engineering 28, no. 11 (November 2002): 1023–38. http://dx.doi.org/10.1109/tse.2002.1049402.

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15

Tsoukarellas, M. A., V. C. Gerogiannis, and K. D. Economides. "Systematically testing a real-time operating system." IEEE Micro 15, no. 5 (1995): 50–60. http://dx.doi.org/10.1109/40.464588.

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16

Blakeborough, A., M. S. Williams, A. P. Darby, and D. M. Williams. "The development of real–time substructure testing." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 359, no. 1786 (September 15, 2001): 1869–91. http://dx.doi.org/10.1098/rsta.2001.0877.

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17

Bechennec, Jean-Luc, Sebastien Faucou, Olivier H. Roux, Matthias Brun, and Louis-Marie Givel. "Testing Real-Time Systems With Runtime Enforcement." IEEE Design & Test 35, no. 4 (August 2018): 31–37. http://dx.doi.org/10.1109/mdat.2018.2791801.

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18

Burns, A., and A. J. Wellings. "Testing Conformity to the Real-Time Annex." ACM SIGAda Ada Letters 35, no. 1 (December 28, 2015): 17–25. http://dx.doi.org/10.1145/2870544.2870547.

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19

Gawthrop, P. J., S. A. Neild, A. Gonzalez-Buelga, and D. J. Wagg. "Causality in real-time dynamic substructure testing." Mechatronics 19, no. 7 (October 2009): 1105–15. http://dx.doi.org/10.1016/j.mechatronics.2008.02.005.

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20

Koné, O. "Conformance testing to real-time communications systems." Computer Communications 25, no. 1 (January 2002): 32–45. http://dx.doi.org/10.1016/s0140-3664(01)00338-3.

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21

Khanniche, M. S. "Real time hysteresis controller for relay testing." IEE Proceedings - Electric Power Applications 141, no. 2 (1994): 71. http://dx.doi.org/10.1049/ip-epa:19949855.

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22

BUCKLES, DAVID S., MARK E. HAROLD, PAUL C. GILLETTE, DEREK A. FYFE, HENRY L. BLAIR, ASHBY B. TAYLOR, and HENRY B. WILES. "Real-Time, Automated, Interactive Cardiac Electrophysiology Testing." Pacing and Clinical Electrophysiology 13, no. 1 (January 1990): 45–51. http://dx.doi.org/10.1111/j.1540-8159.1990.tb02002.x.

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23

Stetson, K. A., and J. Wahid. "REAL-TIME PHASE IMAGING FOR NONDESTRUCTIVE TESTING." Experimental Techniques 22, no. 3 (May 1998): 15–17. http://dx.doi.org/10.1111/j.1747-1567.1998.tb01278.x.

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24

Nakashima, Masayoshi, Hiroto Kato, and Eiji Takaoka. "Development of real-time pseudo dynamic testing." Earthquake Engineering & Structural Dynamics 21, no. 1 (1992): 79–92. http://dx.doi.org/10.1002/eqe.4290210106.

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25

Dun, Han, Zi Wei Xue, Chao Xing Xu, and Ying Chun Li. "Real-Time BER Test for Real-Time Optical OFDM Transmission System." Applied Mechanics and Materials 602-605 (August 2014): 1701–6. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1701.

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For the real-time measurement of transmission performance in the real-time optical OFDM transmission system, realization of BER test with an optimum method by utilizing FPGA, which means to complete the calculation of BER inside transceiver, become essential and efficient. An experiment setup demonstrate the dramatic real-time property and effectiveness in testing the optical OFDM transmission system.
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26

Soklic, M. E. "Model-based testing using real-time adaptive simulator." International Journal of Simulation Modelling 8, no. 1 (March 15, 2009): 27–37. http://dx.doi.org/10.2507/ijsimm08(1)3.114.

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27

Kah, Paul, Belinga Mvola, Jukka Martikainen, and Raimo Suoranta. "Real Time Non-Destructive Testing Methods of Welding." Advanced Materials Research 933 (May 2014): 109–16. http://dx.doi.org/10.4028/www.scientific.net/amr.933.109.

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This work presents a review of the three most efficient non-destructive testing methods. The methods are radiography, eddy current and ultrasonic inspection. These particular techniques were chosen because they are able to cover most of the industrial needs for welding joint inspection. The aim of this work is to present the physical background of operation for the given methods, discuss their benefits, limitations, and typical areas of application, and compare them with each other. In the first part of this work, all three methods and their variations are described in detail with schemes and figures which represent their working principles. It appears that, although all the given methods can detect all types of flaws in welded joints, they have their specific limitations. For example, ultrasonic testing is able to detect defects only in certain directions. The eddy current technique is also sensitive to defect direction, but it can be applied for inspecting conductive materials only. The main flaw of radiography is the resolution: it is not usable for very fine defects. The second part of the work is for comparing the testing methods and for drawing the conclusions. The methods are compared according to the possible materials, defect types and their position, as well as the possible areas of application. This part gives the background for choosing a proper welding joint testing method for certain applications in the welding industry.
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28

McLaren, P. G., R. Kuffel, R. Wierckx, J. Giesbrecht, and L. Arendt. "A real time digital simulator for testing relays." IEEE Transactions on Power Delivery 7, no. 1 (1992): 207–13. http://dx.doi.org/10.1109/61.108909.

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29

Bucci, G., A. Germano, and C. Landi. "Real-time transputer-based measurement apparatus: performance testing." IEEE Transactions on Instrumentation and Measurement 43, no. 2 (April 1994): 251–56. http://dx.doi.org/10.1109/19.293429.

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30

Lakshmikanth, A., M. M. Morcos, and W. N. White. "A real-time system for power quality testing." IEEE Transactions on Instrumentation and Measurement 47, no. 6 (1998): 1464–68. http://dx.doi.org/10.1109/19.746712.

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31

Kezunovic, M., M. Aganagic, V. Skendzic, J. Domaszewicz, J. K. Bladow, D. M. Hamai, and S. M. McKenna. "Transients computation for relay testing in real-time." IEEE Transactions on Power Delivery 9, no. 3 (July 1994): 1298–307. http://dx.doi.org/10.1109/61.311156.

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32

Pham, Hoa V., Basanta Bhaduri, Krishnarao Tangella, Catherine Best-Popescu, and Gabriel Popescu. "Real Time Blood Testing Using Quantitative Phase Imaging." PLoS ONE 8, no. 2 (February 6, 2013): e55676. http://dx.doi.org/10.1371/journal.pone.0055676.

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33

Rolain, J. M. "Real-time PCR for universal antibiotic susceptibility testing." Journal of Antimicrobial Chemotherapy 54, no. 2 (July 1, 2004): 538–41. http://dx.doi.org/10.1093/jac/dkh324.

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34

Miura, Y. "Real-time current testing for A/D converters." IEEE Design & Test of Computers 13, no. 2 (1996): 34–41. http://dx.doi.org/10.1109/54.500199.

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35

Sundmark, Daniel, Anders Pettersson, and Henrik Thane. "Regression testing of multi-tasking real-time systems." ACM SIGBED Review 2, no. 2 (April 2005): 31–34. http://dx.doi.org/10.1145/1121788.1121798.

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36

Smith, P. J., K. J. Beven, D. Leedal, A. H. Weerts, and P. C. Young. "Testing probabilistic adaptive real-time flood forecasting models." Journal of Flood Risk Management 7, no. 3 (August 30, 2013): 265–79. http://dx.doi.org/10.1111/jfr3.12055.

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37

Cox, Julian. "Real-time testing of foods: the Holy Grail?" Microbiology Australia 25, no. 3 (2004): 30. http://dx.doi.org/10.1071/ma04330.

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The approach to quality assurance and control in the food industry has changed, especially with the widespread implementation of preventative, process-oriented food safety plans grounded in Hazard Analysis Critical Control Point (HACCP) and risk assessment principles. However, microbiological analysis of foods remains critical to the management of quality and safety of food products, particularly with respect to the detection of pathogens. The time to complete tests has decreased significantly but, the required sensitivity of the test, the physiological state of the target analyte, the food matrix and associated non-target microflora, all constrain further acceleration of testing and limit the potential for achieving real-time testing of foods, particularly when testing for pathogens such as Salmonella. While real time testing may be the ultimate goal, is it food microbiology?s Holy Grail?
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38

Kezunovic, M., and M. McKenna. "Real-time digital simulator for protective relay testing." IEEE Computer Applications in Power 7, no. 3 (July 1994): 30–35. http://dx.doi.org/10.1109/67.294167.

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39

Bettendorf, R. "Winder Software Testing With Real-Time Dynamic Simulation." IEEE Transactions on Industrial Electronics 52, no. 2 (April 2005): 489–98. http://dx.doi.org/10.1109/tie.2005.844228.

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40

En-Nouaary, Abdeslam. "A scalable method for testing real-time systems." Software Quality Journal 16, no. 1 (June 6, 2007): 3–22. http://dx.doi.org/10.1007/s11219-007-9021-8.

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41

Sawyer, Jason, Clare Wood, Della Shanahan, Sally Gout, and David McDowell. "Real-time PCR for quantitative meat species testing." Food Control 14, no. 8 (December 2003): 579–83. http://dx.doi.org/10.1016/s0956-7135(02)00148-2.

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42

Koush, Yury, John Ashburner, Evgeny Prilepin, Ronald Sladky, Peter Zeidman, Sergei Bibikov, Frank Scharnowski, Artem Nikonorov, and Dimitri Van De Ville. "Real-time fMRI data for testing OpenNFT functionality." Data in Brief 14 (October 2017): 344–47. http://dx.doi.org/10.1016/j.dib.2017.07.049.

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43

Damasceno, Adriana C., Patricia D. L. Machado, and Wilkerson L. Andrade. "Testing real-time systems from compositional symbolic specifications." International Journal on Software Tools for Technology Transfer 19, no. 1 (July 9, 2015): 53–71. http://dx.doi.org/10.1007/s10009-015-0390-1.

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44

Guo, Shikai, Rong Chen, Hui Li, Jian Gao, and Yaqing Liu. "Crowdsourced Web Application Testing Under Real-Time Constraints." International Journal of Software Engineering and Knowledge Engineering 28, no. 06 (June 2018): 751–79. http://dx.doi.org/10.1142/s0218194018500213.

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Crowdsourcing carried out by cyber citizens instead of hired consultants and professionals has become increasingly an appealing solution to test the feature rich and interactive web. Despite having various online crowdsourcing testing services, the benefits of exposure to a wider audience and harnessing the collective efforts of individuals remain uncertain, especially when the quality control is problematic in an open environment. The objective of this paper is to propose a real-time collaborative testing approach (RCTA) to create a productive crowdsourced testing on a dynamic Internet. We implemented a prototype crowdsourcing system XTurk, and carried out a case study, to understand the crowdsourced testers behavior, the trustworthiness, the execution time of test cases and accuracy of feedback. Several experiments are carried out and experimental results validate the quality, efficiency and reliability of the present approach and the positive testing feedback is are shown to outperform the previous methods.
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45

Sch�tz, Werner. "Fundamental issues in testing distributed real-time systems." Real-Time Systems 7, no. 2 (September 1994): 129–57. http://dx.doi.org/10.1007/bf01088802.

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46

Ripoll, Ismael, Alfons Crespo, and Aloysius K. Mok. "Improvement in feasibility testing for real-time tasks." Real-Time Systems 11, no. 1 (July 1996): 19–39. http://dx.doi.org/10.1007/bf00365519.

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47

Verma, Mohit, and J. Rajasankar. "Improved model for real-time substructuring testing system." Engineering Structures 41 (August 2012): 258–69. http://dx.doi.org/10.1016/j.engstruct.2012.03.031.

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48

Wu, Bin, Guoshan Xu, Qianying Wang, and Martin S. Williams. "Operator-splitting method for real-time substructure testing." Earthquake Engineering & Structural Dynamics 35, no. 3 (2006): 293–314. http://dx.doi.org/10.1002/eqe.519.

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49

Darby, A. P., A. Blakeborough, and M. S. Williams. "Improved control algorithm for real-time substructure testing." Earthquake Engineering & Structural Dynamics 30, no. 3 (2001): 431–48. http://dx.doi.org/10.1002/eqe.18.

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50

Chen, Pei-Ching, and Keh-Chyuan Tsai. "Dual compensation strategy for real-time hybrid testing." Earthquake Engineering & Structural Dynamics 42, no. 1 (April 2, 2012): 1–23. http://dx.doi.org/10.1002/eqe.2189.

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