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Journal articles on the topic 'Data Communications'

To see the other types of publications on this topic, follow the link: Data Communications.

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

Torikai, Tsutomu. "Satellite application technology on communications; Data communication via communications satellite." Journal of the Institute of Television Engineers of Japan 43, no. 9 (1989): 913–15. http://dx.doi.org/10.3169/itej1978.43.913.

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2

Borsook, P. "Data communications." IEEE Spectrum 31, no. 1 (January 1994): 26–29. http://dx.doi.org/10.1109/6.249051.

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3

Lowe, S. J. "Data communications." IEEE Spectrum 32, no. 1 (1995): 26–29. http://dx.doi.org/10.1109/6.366229.

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4

Fitzmaurice, Michael. "Wayside Communications: CBTC Data Communications Subsystems." IEEE Vehicular Technology Magazine 8, no. 3 (September 2013): 73–80. http://dx.doi.org/10.1109/mvt.2013.2269191.

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5

Lidinsky, W. P. "Data communications needs." IEEE Network 4, no. 2 (March 1990): 28–33. http://dx.doi.org/10.1109/65.46015.

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6

Gough, TG. "Business data communications." Data Processing 28, no. 6 (July 1986): 327. http://dx.doi.org/10.1016/0011-684x(86)90241-8.

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7

Pahlavan, K., and A. H. Levesque. "Wireless data communications." Proceedings of the IEEE 82, no. 9 (1994): 1398–430. http://dx.doi.org/10.1109/5.317085.

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8

Larasati, Ayu, and Puji Lestari. "CLIENT SERVICE COMMUNICATION’S AUDIT THROUGH DIGITAL COMMUNICATION AT INDONESIA COMMUNICATIONS." Indonesian Journal of Communication Studies 15, no. 2 (December 31, 2022): 129. http://dx.doi.org/10.31315/ijcs.v15i2.8277.

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During the COVID-19 pandemic, the Indonesian government implemented policies which required people to work, pray, and study from home or a Work From Home (WFH). Such policies are also carried out by ID COMM to serve clients. Thus, this unprecedented phenomenon changed its communication system. This communication audit research is being conducted, to evaluate the flow of communication that occurs to serving clients in ID COMM. The data that was used for this study is taken from interviews and observation through qualitative methods and literature review. As an agency, ID COMM uses transactional communication Tubbs model. ID COMM encountered some problems while doing its job, such as lack of personal touch and less flexibility when presenting both briefs and work. As a result of that effect on revision frequency. Sometimes, another problem that is encountered by ID COMM, the connection is not that good and also the clients just didn’t understand what PR needs for strategy. However, the client is satisfied with the performance of ID COMM in general.

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9

Singer, Andrew C., Gizem Tabak, and Michael L. Oelze. "High data rate ultrasonic communications." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A244. http://dx.doi.org/10.1121/10.0011201.

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Ultrasonic signals have been used in biomedical applications since at least the 1940s. Underwater acoustic signals have been used in the subsea industry for ranging since the early 1900s and for SONAR imaging and communication in the decades that followed. Since the development of subsea communication systems in the 1940s, increasingly sophisticated means have be developed for transmitting information acoustically through the highly variable ocean environment. State-of-the-art acoustic communication systems leverage ultrasonic transducers to achieve data transmission rates that mirror radio-frequency (RF)-based WiFi systems on land. The increasing use of wireless implanted medical devices (IMDs) have increased interest in through-tissue communications. Restrictions on the available bandwidth and transmit signal power limit the data rates of RF-based IMDs. In this talk, we give an overview of video-capable ultrasonic wireless communication between IMDs and external devices. We emphasize the potential of such a system for improving video capsule endoscopy and describe the challenges of through-tissue acoustic communication. Building on experience with subsea-communication systems, we discuss methods to cope with attenuation, dispersion, reflection, and nonlinear propagation. Some of our recent experiments performed ex vivo with soft tissue samples and in vivo with anesthetized animal subjects will be discussed.

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10

Fox, Edward A. "Communications and Data Interchange." ACM SIGOIS Bulletin 15, no. 1 (August 1994): 6. http://dx.doi.org/10.1145/185057.1023898.

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11

Abraham, Ralph H. "Dynamics from Communications Data." American Journal of Psychotherapy 46, no. 4 (October 1992): 581–82. http://dx.doi.org/10.1176/appi.psychotherapy.1992.46.4.581.

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12

Cattermole, K. W. "Data Communications and Networks." Electronics and Power 33, no. 8 (1987): 522. http://dx.doi.org/10.1049/ep.1987.0318.

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13

Denenberg, Ray. "Data communications and osi." Library Hi Tech 8, no. 4 (April 1990): 15–32. http://dx.doi.org/10.1108/eb047805.

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14

Lai, Vincent S., and Wingyan Chung. "Managing international data communications." Communications of the ACM 45, no. 3 (March 2002): 89–93. http://dx.doi.org/10.1145/504729.504734.

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15

Seymour, Tom, and Patsy Nichols. "Let's Teach Data Communications." Journal of Education for Business 61, no. 3 (December 1985): 125–27. http://dx.doi.org/10.1080/08832323.1985.10772688.

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16

Dunn, D. A., and M. G. Johnson. "Demand for data communications." IEEE Network 3, no. 3 (May 1989): 8–12. http://dx.doi.org/10.1109/65.25639.

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17

Honeyman, Janice C. "Nuclear medicine data communications." Seminars in Nuclear Medicine 28, no. 2 (April 1998): 158–64. http://dx.doi.org/10.1016/s0001-2998(98)80005-6.

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18

Hunt, Ray. "Introducing data communications protocols." Computer Communications 9, no. 4 (August 1986): 201. http://dx.doi.org/10.1016/0140-3664(86)90224-0.

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19

Lowe, S. J. "Technology, 1992-data communications." IEEE Spectrum 29, no. 1 (1992): 39–41. http://dx.doi.org/10.1109/6.109596.

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20

Stix, G. "Technology '89: data communications." IEEE Spectrum 26, no. 1 (January 1989): 43–46. http://dx.doi.org/10.1109/6.16378.

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21

Sarch, R. "Technology 1993 - Data communications." IEEE Spectrum 30, no. 1 (January 1993): 42–45. http://dx.doi.org/10.1109/6.179239.

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22

Stix, G. "Technology '90: data communications." IEEE Spectrum 27, no. 1 (1990): 35–37. http://dx.doi.org/10.1109/6.45052.

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23

Rosenblatt, A. "Technology 1991: data communications." IEEE Spectrum 28, no. 1 (January 1991): 48–51. http://dx.doi.org/10.1109/6.67240.

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24

Goldstein, B. C., and J. M. Jaffe. "Data communications: The implications of communication systems for protocol design." IBM Systems Journal 26, no. 1 (1987): 122–37. http://dx.doi.org/10.1147/sj.261.0122.

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25

Schwartz, Mischa. "Data communication networks — An introduction: Innovative developments are revolutionizing worldwide communications." IEEE Potentials 5, no. 1 (February 1986): 18–21. http://dx.doi.org/10.1109/mp.1986.6500232.

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26

BAFTIU, Naim, Ahmet NUREDINI, and Samedin KRRABAJ. "Encrypted Data Service for Security Electronic Communications." PRIZREN SOCIAL SCIENCE JOURNAL 3, no. 3 (December 26, 2019): 84. http://dx.doi.org/10.32936/pssj.v3i3.120.

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The law on electronic communications has so far enumerated a considerable number of natural persons, legal entities as well as public institutions that use code systems and crypto devices during communication. Of particular interest is addressing the key role of operators and providers of encrypted data services in combating abuses committed through or against computer systems as the responsible performance of their duties to protect the security of networks and computer systems affects significantly in controlling illegal risks and attacks. In this perspective, the specific legal obligations for the protection of privacy regarding personal data that are processed for the purpose of providing information services are also analyzed. The purpose of the paper is, Utilizing communication between two parties sharing a common key, implementing a shared key to protect data communicated with different security attributes, Role of cryptography in data protection during communication, and Focus on privacy. Of the data communicated, against their authenticity. Keywords: Communication, Security, Electronic privacy

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27

Wang, Xin, Hai Dong Chi, Tao Zheng, and Wen Li Cheng. "One Data Transmission System for the Indoor Wireless Communications." Advanced Materials Research 760-762 (September 2013): 582–86. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.582.

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The indoor communications is a new market in the future. This Article introduces one data transmission system based with OFDM signals. The overview of the communication system and synchronization theory background will be introduced. The simulation results shown in this article implies that this OFDM system achieves excellent performance for indoor wireless communication.

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28

Partridge, Craig. "Important concepts in data communications." ACM SIGCOMM Computer Communication Review 52, no. 1 (January 30, 2022): 38–41. http://dx.doi.org/10.1145/3523230.3523237.

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The data communications field recently marked the 50th anniversary of the start of the ARPANET, which was one of the first and certainly the most influential of the early data communications networks. The anniversary provoked discussions about which concepts or ideas in data communications have proven to be enduring in the evolution of data communications. This paper presents one perspective

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29

Kokjer, K., and T. Roberts. "Networked meteor-burst data communications." IEEE Communications Magazine 24, no. 11 (November 1986): 23–29. http://dx.doi.org/10.1109/mcom.1986.1092982.

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30

Newton, M. J., and K. S. Hurst. "CAD data communications—an update." Computer-Aided Engineering Journal 5, no. 1 (1988): 5. http://dx.doi.org/10.1049/cae.1988.0003.

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31

Walko, J. "When lines converge [data communications]." Engineering & Technology 1, no. 2 (May 1, 2006): 38–41. http://dx.doi.org/10.1049/et:20060204.

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32

Smith, D. G. "Data Communications and Networks 2." IEE Review 36, no. 10 (1990): 393. http://dx.doi.org/10.1049/ir:19900168.

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33

Moses, Donald W. "Data under voice communications system." Journal of the Acoustical Society of America 84, no. 3 (September 1988): 1130. http://dx.doi.org/10.1121/1.396679.

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34

Sévigny, Alex. "Data science and communications management." Journal of Professional Communication 5, no. 2 (October 12, 2018): 3–6. http://dx.doi.org/10.15173/jpc.v5i2.3745.

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In this editorial for issue two of volume five of the Journal of ProfessionalCommunication, the author discusses how data science is changingthe communications landscape. He suggests that advances intechnology are making it easier to learn about and communicate withpublics. The author challenges communciations professionals to makebetter use of this new technology in their own work.

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35

Ng, S. B. "Data communications techniques and technologies." Proceedings of the IEEE 74, no. 4 (1986): 620. http://dx.doi.org/10.1109/proc.1986.13519.

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36

Partridge, Craig. "Forty data communications research questions." ACM SIGCOMM Computer Communication Review 41, no. 5 (October 22, 2011): 24–35. http://dx.doi.org/10.1145/2043165.2043170.

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37

Yan, Xu. "Mobile data communications in China." Communications of the ACM 46, no. 12 (December 2003): 80–85. http://dx.doi.org/10.1145/953460.953463.

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38

Waitzmann, Carsten. "Roger L. Freeman. Data Communications." Computer Communications 26, no. 6 (April 2003): 631. http://dx.doi.org/10.1016/s0140-3664(02)00182-2.

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39

Menkus, Belden. "Why data communications are insecure." Computers & Security 9, no. 6 (October 1990): 483–87. http://dx.doi.org/10.1016/0167-4048(90)90123-b.

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40

Kazin, Joel. "Auditing MSA's Data Communications Interface." EDPACS 17, no. 8 (February 1990): 1–11. http://dx.doi.org/10.1080/07366989009450585.

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41

Locklin, Ronald M. "CHOOSING A DATA COMMUNICATIONS NETWORK." Journal of Business Strategy 6, no. 3 (January 1986): 14–26. http://dx.doi.org/10.1108/eb039116.

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42

Horrocks, John. "Cordless voice and data communications." Telecommunications Policy 17, no. 8 (November 1993): 636. http://dx.doi.org/10.1016/0308-5961(93)90075-e.

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43

Barbeau, Michel. "Protection of Quantum Data Communications." Digitale Welt 3, no. 2 (March 4, 2019): 46–49. http://dx.doi.org/10.1007/s42354-019-0169-8.

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44

Chang, C. C., J. C. Chuang, and Y. P. Lai. "Hiding data in multitone images for data communications." IEE Proceedings - Vision, Image, and Signal Processing 151, no. 2 (2004): 137. http://dx.doi.org/10.1049/ip-vis:20040045.

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45

Vemou, Konstantina, and Maria Karyda. "Requirements for private communications over public spheres." Information & Computer Security 28, no. 1 (November 11, 2019): 68–96. http://dx.doi.org/10.1108/ics-01-2019-0002.

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Purpose In the Web 2.0 era, users massively communicate through social networking services (SNS), often under false expectations that their communications and personal data are private. This paper aims to analyze privacy requirements of personal communications over a public medium. Design/methodology/approach This paper systematically analyzes SNS services as communication models and considers privacy as an attribute of users’ communication. A privacy threat analysis for each communication model is performed, based on misuse scenarios, to elicit privacy requirements per communication type. Findings This paper identifies all communication attributes and privacy threats and provides a comprehensive list of privacy requirements concerning all stakeholders: platform providers, users and third parties. Originality/value Elicitation of privacy requirements focuses on the protection of both the communication’s message and metadata and takes into account the public–private character of the medium (SNS platform). The paper proposes a model of SNS functionality as communication patterns, along with a method to analyze privacy threats. Moreover, a comprehensive set of privacy requirements for SNS designers, third parties and users involved in SNS is identified, including voluntary sharing of personal data, the role of the SNS platforms and the various types of communications instantiating in SNS.

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46

Valčić, Sanjin, Zoran Mrak, and Marko Gulić. "Analysis of advantages and disadvantages of existing maritime communication systems for data exchange." Pomorstvo 30, no. 1 (June 29, 2016): 28–37. http://dx.doi.org/10.31217/p.30.1.4.

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Maritime communication systems and devices that are required onboard ships under the SOLAS (Safety Of Life At Sea) Convention are determined by the communication functions of Global Maritime Distress and Safety System (GMDSS). This system was fully implemented on the 1st February 1999, and since then maritime communications methods have not been significantly changed. As a result, numerous researches and studies were conducted, intended to improve existing communication systems. Furthermore, the exchange of data in maritime communications is of great importance for the purpose of safety of navigation and commercial services. For this reason, the advantages and disadvantages of existing maritime communication systems for data exchange are systematically analyzed in this paper, in order to determine the guidelines for their improvement or replacement by new communication systems. The focus is on the used modulation techniques, as well as the maximum achieved data rates. According to these characteristics the possibility of applying certain communication systems in communications infrastructure of the strategy called “e-Navigation” is determined. In addition, an overview of international recommendations and guidelines for the modernization of maritime communications in the VHF frequency band is elaborated in this paper.

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47

Harvey, Craig M., Mike Reynolds, Andrea L. Pacley, Richard J. Koubek, and Albert J. Rehmann. "Effects of the Controller-to-Pilot Data Link (Datalink) on Crew Communication." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 1 (September 2002): 61–65. http://dx.doi.org/10.1177/154193120204600113.

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This paper discusses a Federal Aviation Administration (FAA) manned simulation study that investigated the effects of Controller-to-Pilot Data Link (datalink) on crew communications. Professional pilots participated in high fidelity simulation tests where crews received Air Traffic Controller (ATC) messages through the datalink. The results were compared to a similar study conducted where crews only communicated by radio to controllers. Results demonstrate that the nature of crew communications within the flight deck do change because of datalink. Unlike in the past where crews became aware of ATC communications at the same time through their headsets, new communication types are now needed due to the shift from ATC radio communications to ATC datalink messages. Thus flight crews must keep each other aware of information passed through the datalink. The frequency of communication was found to be significantly different depending on the location of the datalink on the flight deck. In addition, datalink crews experienced significantly less ATC radio transmissions as expected; however, the within crew communication related to datalink increased. When within crew datalink communication and the ATC radio communication are combined, one finds that ATC related communication is significantly higher in datalink crews as compared to traditional radio crews. This study illustrates the need to fully evaluate the impact new technology has on flight crews and their communication process.

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48

Mahmood, Sanabil A. "Proposed a WebRTC Data Communication Using Effective Signalling Protocol." Technium: Romanian Journal of Applied Sciences and Technology 4, no. 10 (December 6, 2022): 83–96. http://dx.doi.org/10.47577/technium.v4i10.7956.

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Web Real-Time Communication (WebRTC) is designed to permit the co-occurrence of audio, video, and data communications. However, an effective signalling mechanism that setup, establish and end communication between peers has not been specified in WebRTC. This paper designs and implements an effective WebRTC signalling mechanism for data communication compared with the common existing applications and current reviews. Moreover, it focuses on the limitations of multi-browsers communication and data. As long as no elaboration specifies how the signalling mechanism can be used in WebRTC because it does not understand the concept of sessions but rather that of streams, which create and consumes media flows. In addition, this research will elaborate on the related work and analyse the communication quality of data communications, such as data, audio, and video. Keywords: Web Real-time Communication (WebRTC); Signalling Protocols.

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49

McCord, M., J. Schindall, T. C. Yang, P. Gendron, and W. ‐B Yang. "Underwater acoustic communication experimentation: The acoustic communications and data storage (ACDS) system." Journal of the Acoustical Society of America 115, no. 5 (May 2004): 2507. http://dx.doi.org/10.1121/1.4783105.

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50

Zhang, Wen. "Application of Random Walk Model in Mobile Communication Data Optimization." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012060. http://dx.doi.org/10.1088/1742-6596/2074/1/012060.

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Abstract With the continuous development of society and economy, the development and application of mobile communications have become more and more popular, and more people have begun to use mobile devices for office, study and life. The quality of mobile communications network signals directly affects people’s experience of use. The scope of actual application has gradually increased with the renewal of the technology itself. Based on the random walk model, this paper constructs a mobile communication data optimization plan. Through data storage, transmission delay, and information total control, the optimization form of wireless network mobile communication data transmission performance is studied. Practice shows that this scheme can effectively improve communication quality and transmission efficiency.

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