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Journal articles on the topic 'Communication modeling'

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Published: 28 June 2021
Last updated: 1 February 2022

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1

Davis, Peter. "Modeling communication dynamics." Nonlinear Theory and Its Applications, IEICE 5, no. 2 (2014): 113–26. http://dx.doi.org/10.1587/nolta.5.113.

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2

Szuromi, P. "Modeling Chemical Communication." Science Signaling 2, no. 56 (February 3, 2009): ec43-ec43. http://dx.doi.org/10.1126/scisignal.256ec43.

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3

Ponzio, Augusto. "Modeling, Communication, and Dialogism." American Journal of Semiotics 20, no. 1 (2004): 157–78. http://dx.doi.org/10.5840/ajs2004201/42.

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4

van der Rijst, Nardo B. J. "Communication oriented organizational modeling." ACM SIGGROUP Bulletin 18, no. 2 (August 1997): 48–52. http://dx.doi.org/10.1145/265665.265679.

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5

Wang, Randolph Y., Arvind Krishnamurthy, Richard P. Martin, Thomas E. Anderson, and David E. Culler. "Modeling communication pipeline latency." ACM SIGMETRICS Performance Evaluation Review 26, no. 1 (June 1998): 22–32. http://dx.doi.org/10.1145/277858.277867.

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6

KRYSSANOV, V., K. KAKUSHO, E. KULESHOV, and M. MINOH. "Modeling hypermedia-based communication." Information Sciences 174, no. 1-2 (June 28, 2005): 37–53. http://dx.doi.org/10.1016/j.ins.2004.08.006.

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7

Jinguo Quan, Jinguo Quan, Bo Bai Bo Bai, Shuang Jin Shuang Jin, and Yan Zhang Yan Zhang. "Indoor positioning modeling by visible light communication and imaging." Chinese Optics Letters 12, no. 5 (2014): 052201–52204. http://dx.doi.org/10.3788/col201412.052201.

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8

Mortezaee, Mojtaba. "EARNING MANAGEMENT MODELING BASED ON FINANCIAL COMMUNICATION." International Journal of Research -GRANTHAALAYAH 6, no. 10 (October 31, 2018): 274–79. http://dx.doi.org/10.29121/granthaalayah.v6.i10.2018.1194.

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The present research is focused on financial communication area and aim to investigate the relationship between company’s web-based financial communications, information asymmetry and earning management. The research is aim to examine whether financial communication besides its usefulness could be act as contributory means for management in order to earning management. In other words, aim to challenges management incentives toward web-based financial information disclosure.
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9

Hiji, Masahiro, Masatoshi Miyazaki, and Hiroshi Nunokawa. "Communication computation model for modeling dynamic human communication." Systems and Computers in Japan 27, no. 12 (1996): 63–72. http://dx.doi.org/10.1002/scj.4690271206.

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10

Решетников and Sergey Reshetnikov. "Modeling in communication: general trends." Modern Communication Studies 2, no. 3 (June 27, 2013): 14–20. http://dx.doi.org/10.12737/592.

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The author overviews the main factors concerning human conscience: both individual and collective conscience of the national group concerning the communicative function. Particular reference is being made to priority of national pictures of the world in the process of intercultural communication and need to consider this phenomenon in order to raise the efficiency of international relations on all levels.
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11

Youngmin Jeong, Jo Woon Chong, Hyundong Shin, and M. Z. Win. "Intervehicle Communication: Cox-Fox Modeling." IEEE Journal on Selected Areas in Communications 31, no. 9 (September 2013): 418–33. http://dx.doi.org/10.1109/jsac.2013.sup.0513038.

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12

Salisbury, C., Z. Chen, and R. Melhem. "Modeling Communication Locality in Multiprocessors." Journal of Parallel and Distributed Computing 56, no. 2 (February 1999): 71–98. http://dx.doi.org/10.1006/jpdc.1998.1513.

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13

Pajevic, Ljubica, and Gunnar Karlsson. "Modeling opportunistic communication with churn." Computer Communications 96 (December 2016): 123–35. http://dx.doi.org/10.1016/j.comcom.2016.04.018.

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14

Herzberg, D., and M. Broy. "Modeling layered distributed communication systems." Formal Aspects of Computing 17, no. 1 (October 29, 2004): 1–18. http://dx.doi.org/10.1007/s00165-004-0051-8.

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15

He, Peng, Xiaojuan Han, and Hanyong Liu. "Chain Modeling of Molecular Communications for Body Area Network." Sensors 19, no. 2 (January 18, 2019): 395. http://dx.doi.org/10.3390/s19020395.

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Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance.
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16

ELNADY, NABIL, and EMMANOEL HANNA. "COMMUNICATION SYSTEM IDENTIFICATION THROUGH ADAPTIVE MODELING OF THE COMMUNICATION CHANNEL." International Conference on Aerospace Sciences and Aviation Technology 3, ASAT CONFERENCE (April 1, 1989): 1–13. http://dx.doi.org/10.21608/asat.1989.25978.

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17

Saraereh, Omar, Imran Khan, Byung Lee, and A. K. S. Al-Bayati. "Modeling and Analysis of Wearable Antennas." Electronics 8, no. 1 (December 21, 2018): 7. http://dx.doi.org/10.3390/electronics8010007.

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This paper describes a sheet-like transmission line for constructing a short-range wireless communication system using flexible materials such as clothing. As a new application of wireless communications, it is desired to construct a Personal Area Network (PAN) and a sensor network with a short distance communication area of about 1 m to 2 m. For such applications, a waveguide of a new structure is required which can exchange information at an arbitrary place on the waveguide, which has a flexible structure and limits the area for wireless communication. Therefore, by disposing the microstrip type resonators two-dimensionally with a two-layer structure and electromagnetically strongly coupling the resonators, the electromagnetic waves are confined well within the transmission line, and the antenna of the wireless device resonator is arranged. Furthermore, by constructing this transmission line with a sheet-like flexible wearable material, the transmission of both information and power can be performed through a thin flexible transmission line for the wearable network.
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18

Belov, A. S., M. E. Elesin, and E. V. Grechishnikov. "A METHOD OF MODELING COMMUNICATION NETWORKS." Telecommunications and Radio Engineering 72, no. 12 (2013): 1117–28. http://dx.doi.org/10.1615/telecomradeng.v72.i12.90.

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19

Pop, Alexandra-Mihaela, Ioan Pop, and Dănuţ D. Dumitraşcu. "Communication Process Modeling In Research Projects." Balkan Region Conference on Engineering and Business Education 1, no. 1 (August 15, 2014): 353–58. http://dx.doi.org/10.2478/cplbu-2014-0053.

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Abstract The communication process, a very important part in project management, is a subset of components that compete for their success. In this paper we present a model of the communication process for research projects through which we can obtain a work methodology in terms of communication efficiency. In the last part of the paper some test results are presented obtained by applying this model. Statistical representations, graphical views of data set analyses are made from machine learning methods for data mining. The aim is to obtain a relevant analysis of the communication process within research projects. The proposed model can also be the basis of future decisions made by project managers.
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20

O.A., Osahenvemwen, Edeko F.O., and Emagbetere J. "Traffic Modeling in Mobile Communication Networks." International Journal of Computer Applications 51, no. 9 (August 30, 2012): 17–24. http://dx.doi.org/10.5120/8069-1462.

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21

Lee, Soo-Hwan, Jong-Chan Kim, Ki-Taek Lim, Hyung-Rae Cho, and Dong-Hoan Seo. "WAVE Communication-based V2I Channel Modeling." Journal of the Korean Society of Marine Engineering 40, no. 10 (December 31, 2016): 899–905. http://dx.doi.org/10.5916/jkosme.2016.40.10.899.

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22

Al-Zu'bi, Muneer M., and Ananda Mohan Sanagavarapu. "Modeling a Composite Molecular Communication Channel." IEEE Transactions on Communications 66, no. 8 (August 2018): 3420–33. http://dx.doi.org/10.1109/tcomm.2018.2813365.

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23

Fan, Judith, Robert Hawkins, Mike Wu, and Noah Goodman. "Modeling contextual flexibility in visual communication." Journal of Vision 18, no. 10 (September 1, 2018): 1045. http://dx.doi.org/10.1167/18.10.1045.

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24

Baptista, Murilo S., Epaminondas Rosa, and Celso Grebogi. "Communication through chaotic modeling of languages." Physical Review E 61, no. 4 (April 1, 2000): 3590–600. http://dx.doi.org/10.1103/physreve.61.3590.

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25

Morency, Louis-philippe. "Modeling Human Communication Dynamics [Social Sciences." IEEE Signal Processing Magazine 27, no. 5 (September 2010): 112–16. http://dx.doi.org/10.1109/msp.2010.937500.

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26

Wang, Qiuyun, and Benjamin C. Lee. "Modeling Communication Costs in Blade Servers." ACM SIGOPS Operating Systems Review 49, no. 2 (January 20, 2016): 75–79. http://dx.doi.org/10.1145/2883591.2883607.

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27

Awbrey, Frank T. "Modeling noise interference with animal communication." Journal of the Acoustical Society of America 94, no. 3 (September 1993): 1850. http://dx.doi.org/10.1121/1.407692.

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28

Basta, Robert A., Bruce P. Kraemer, Walter P. Bond, and Thomas J. Billhartz. "Distributed Communication Network Systems Performance Modeling." INCOSE International Symposium 2, no. 1 (July 1992): 365–72. http://dx.doi.org/10.1002/j.2334-5837.1992.tb01515.x.

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29

Gharaibeh, K. M., and M. B. Steer. "Modeling distortion in multichannel communication systems." IEEE Transactions on Microwave Theory and Techniques 53, no. 5 (May 2005): 1682–92. http://dx.doi.org/10.1109/tmtt.2005.847064.

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30

Lee, Junsoo, Stephan Bohacek, Joo P. Hespanha, and Katia Obraczka. "Modeling Communication Networks With Hybrid Systems." IEEE/ACM Transactions on Networking 15, no. 3 (June 2007): 630–43. http://dx.doi.org/10.1109/tnet.2007.893090.

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31

Pelikan, Kristina, and Thorsten Roelcke. "Theoria Cum Praxi – Modeling Specialised Communication." Glottotheory 9, no. 2 (October 25, 2019): 147–72. http://dx.doi.org/10.1515/glot-2018-0010.

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Abstract As researchers from different nationalities and disciplines collaborate in research projects with joint grants, science becomes more and more global. For conducting the research, project members from several different professional and national backgrounds work together on a daily basis using English as lingua franca (ELF). This results in a very heterogenic linguistic setting, influenced by several mother tongues and languages for specific purposes (LSPs). Systematic approaches have been neglected during the last years while LSP research moved more and more towards applied approaches working on concrete case studies. The present study follows an alternative approach. Applied linguistics and further development of systematic approaches shall here be seen as a circular flow. For instance, communication optimisation during a case study benefits from system-thinking and vice versa. How could the project language of a case study be structured and which long established classifications need to be revised based on these data? Is there a need for a new understanding of applied LSP research?
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32

Papadopoulou, Nikela, Georgios Goumas, and Nectarios Koziris. "Predictive communication modeling for HPC applications." Cluster Computing 20, no. 3 (March 24, 2017): 2725–47. http://dx.doi.org/10.1007/s10586-017-0821-8.

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33

Pelletier, Daniel, Isabelle Green-Demers, Pierre Collerette, and Michael Heberer. "Modeling the communication-satisfaction relationship in hospital patients." SAGE Open Medicine 7 (January 2019): 205031211984792. http://dx.doi.org/10.1177/2050312119847924.

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Objectives: Although it has long been known that communication with medical professionals presents a strong relationship with patient satisfaction, research on this topic has been hindered by conceptual and methodological issues (e.g. single-item measures, inclusion of idiosyncratic patient characteristics, etc.). Using a more comprehensive and integrated approach, this study had two objectives: to document the multidimensional structure of the Picker Patient Experience–15, and to test a patient communication/satisfaction model that organizes its dimensions in a conceptually logical array of relationships. First, the factorial structure of the Picker Patient Experience–15 was hypothesized to comprise five dimensions: communication with patient, with family, addressing fears/concerns, preparation for discharge, and patient satisfaction. Second, the hypothesized model included positive relationships between all four communications dimensions, on the one hand, and patient satisfaction, on the other. Within communication dimensions, communication with patient was hypothesized to be the incipient factor for other dimensions, and thus to be positively associated with the other three forms of communication. Methods: This research is based on a single time point design, which relied on administrative and questionnaire data. The study was conducted at a large University Hospital in Switzerland. The sample included 54,686 patients who received inpatient treatment, excluding those who were cared for in the intensive and intermediate care units. Patients filled out, over a 5-year period, the Picker Patient Experience questionnaire (PPE-15) after discharge (overall response rate of 41%). Results: The proposed five-factor structure of the Picker Patient Experience–15 was successfully supported by the results of a confirmatory factor analysis. Moreover, the hypothesized network of associations between communication and satisfaction latent constructs was substantiated using structural equation modeling. With the exception of the association between preparation for discharge and patient satisfaction, the hypothesized model was fully corroborated. Conclusion: A more in-depth understanding of patient satisfaction can be achieved when it is studied as a multifaceted phenomenon.
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34

Pollak, Kathryn I. "Teaching effective communication by modeling effective communication: Experiences of a communication coach for clinicians." Patient Education and Counseling 103, no. 2 (February 2020): 423–27. http://dx.doi.org/10.1016/j.pec.2019.08.024.

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35

Kremenetsʹka, Ya A. "Approaches to modeling the channel of millimeter range for mobile communication systems." Connectivity 142, no. 6 (2019): 24–28. http://dx.doi.org/10.31673/2412-9070.2019.062428.

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36

Duche, Dipashree Navanath. "Power Line Communication Performance Channel Characteristics." Computer Engineering and Applications Journal 3, no. 1 (February 6, 2014): 34–42. http://dx.doi.org/10.18495/comengapp.v3i1.42.

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Power lines form the medium of transmission in PLC systems. The original purpose of these lines is the transportation of electric signals at 50 or 60 Hz .This paper proposes a new channel modeling method for power line communications networks based on the multipath profile in the time domain. The new channel model is developed to be applied in a range of Power line Communications (PLC) research topics such as impulse noise modeling, deployment and coverage studies, and communications theory analysis. The statistical multipath parameters such as path arrival time, magnitude and interval for each category are analyzed to build the model. Each generated channel based on the proposed Power line communication that a performance channel characteristic represents a different realization of a PLC network
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37

GASUMYANOV, VLADISLAV, and VALENTINA KOMLEVA. "COMMUNICATION REGIMES AS A NEW SCIENTIFIC CATEGORY." Communicology 8, no. 3 (September 2020): 43–50. http://dx.doi.org/10.21453/2311-3065-2020-8-3-43-50.

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The article introduces a new category of ‘communication regime’ into discourse, and examines the features of formation and development of country communication regimes. The authors describe some aspects of the methodology of communication regimes research (the need for ‘ideal type’ modeling for comparative analysis). The article contains the results of a study of communication regimes, initiated and first conducted by the National Research Institute for Communications Development (Russia).
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38

Yi, Zhao Xiang, Yong Xian, Xiong Mei Zhang, Hua Peng Zhang, and Xiao Dong Mu. "Simulation and Analysis for Meteor Burst Communications Based on OPNET." Applied Mechanics and Materials 738-739 (March 2015): 1205–8. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1205.

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Meteor burst communication is an important communication mode for a number of possible civilian and military applications. This paper proposes a channel modeling and simulation based on OPNET for meteor burst communications. Analyzing the characteristics of underdense meteor burst channel, the multi-layer node models of master station and slave station are presented to create practical simulation scenario of meteor burst communications. The simulation processes of half-duplex communication as well as full-duplex communication are designed to execute simulation. The results demonstrated that the channel model based on OPNET is consisted with meteor burst communication very well, and full-duplex communication is better than full-duplex communication in effectiveness.
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39

Camarda, Pietro, Giovanna Schiraldi, and Fabrizio Talucci. "Priority Traffic Modeling in Multicellular Communication Networks." Journal of Computing and Information Technology 11, no. 2 (2003): 81. http://dx.doi.org/10.2498/cit.2003.02.01.

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40

Badrah, M. K., I. A. MacLeod, and B. Kumar. "Using Object-Communication for Design Standards Modeling." Journal of Computing in Civil Engineering 12, no. 3 (July 1998): 153–61. http://dx.doi.org/10.1061/(asce)0887-3801(1998)12:3(153).

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41

S. Abd Alzaher, Mohamed, Hussein A. Elsayed, Somaia I. Kayed, and Wagdy R. Anis. "Road Traffic Modeling using Data Communication Networks." International Journal of Computer Applications 26, no. 4 (July 31, 2011): 24–31. http://dx.doi.org/10.5120/3091-4241.

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42

De Decker, B., and P. Verbaeten. "Modeling distributed systems: Communication issues in Hermix." Microprocessing and Microprogramming 25, no. 1-5 (January 1989): 239–43. http://dx.doi.org/10.1016/0165-6074(89)90202-0.

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43

Ahmad, Waqar, Osman Hasan, Usman Pervez, and Junaid Qadir. "Reliability modeling and analysis of communication networks." Journal of Network and Computer Applications 78 (January 2017): 191–215. http://dx.doi.org/10.1016/j.jnca.2016.11.008.

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44

Steuten, A. A. G., R. P. van de Riet, and J. L. G. Dietz. "Linguistically based conceptual modeling of business communication." Data & Knowledge Engineering 35, no. 2 (November 2000): 121–36. http://dx.doi.org/10.1016/s0169-023x(00)00030-6.

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45

Hanuliak, Juraj. "Modeling of Communication Complexity in Parallel Computing." American Journal of Networks and Communications 3, no. 5 (2014): 29. http://dx.doi.org/10.11648/j.ajnc.s.2014030501.13.

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46

Litton, Jan-Eric, Juha Muilu, Ann Björklund, Anne Leinonen, and Nancy L. Pedersen. "Data Modeling and Data Communication in GenomEUtwin." Twin Research 6, no. 5 (October 1, 2003): 383–90. http://dx.doi.org/10.1375/136905203770326385.

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47

Whitaker, Leslie A., and Leslie J. Peters. "Modeling Operational Criteria for Evaluating Speech Communication." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 17 (October 1994): 1135–39. http://dx.doi.org/10.1177/154193129403801714.

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Thesis: Evaluation of systems can be conducted best under controlled circumstances which approximate operational conditions. In the present paper, we have examined this thesis as it applies to the test and evaluation of multi-person systems. Our specific focus has been the development of a conceptual model of speech communication requirements and the study of the impact of degraded speech intelligibility on performance of these multi-person systems. To obtain the control necessary to evaluate performance using speech intelligibility, an electronic circuit was developed and employed in a series of simulated tests of operational tasks. The application of these research findings to the task of system test and evaluation is described in the present paper.
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48

DICKSON, STEWART. "APPLICATIONS OF SHAPE MODELING TO INTERNET COMMUNICATION." International Journal of Shape Modeling 05, no. 01 (June 1999): 23–37. http://dx.doi.org/10.1142/s0218654399000058.

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49

Galal, Akram, and Xavier Hesselbach. "Nano-networks communication architecture: Modeling and functions." Nano Communication Networks 17 (September 2018): 45–62. http://dx.doi.org/10.1016/j.nancom.2018.07.001.

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50

Fernandes, Carlos Alexandre R., João Cesar M. Mota, and Gérad Favier. "MIMO Volterra Modeling for Nonlinear Communication Channels." Learning and Nonlinear Models 8, no. 2 (2010): 71–92. http://dx.doi.org/10.21528/lnlm-vol8-no2-art1.

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