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Pragmatics of Computer-Mediated Communication
The present handbook provides an overview of the pragmatics of language and language use mediated by digital technologies. Computer-mediated communication (CMC) is defined to include text-based interactive communication via the Internet, websites and other multimodal formats, and mobile communication. In addition to 'core' pragmatic and discourse-pragmatic phenomena the chapters cover pragmatically-focused research on types of CMC and pragmatic approaches to characteristic CMC phenomena.
eBook
Observing writing : insights from keystroke logging and handwriting
\"Observing Writing: Insights from Keystroke Logging and Handwriting is a timely volume appearing twelve years after the Studies in Writing volume Computer Keystroke Logging and Writing (Sullivan & Lindgren, 2006). The 2006 volume provided the reader with a fundamental account of keystroke logging, a methodology in which a piece of software records every keystroke, cursor and mouse movement a writer undertakes during a writing session. This new volume highlights current theoretical and applied research questions in keystroke logging and handwriting research that observes writing. In this volume, contributors from a range of disciplines, including linguistics, psychology, neuroscience, modern languages, and education, present their research that considers the cognitive and socio-cultural complexities of writing texts in academic and professional settings\"-- Provided by publisher.
Book
Factors influencing research data communication on Zika virus: a grounded theory
Purpose
The purpose of this paper is to propose a theoretical model to illustrate factors influencing research data communication on diseases caused by the Zika virus.
Design/methodology/approach
The grounded theory methodology was adopted. For data collection, interviews were conducted with 13 Brazilian researchers involved with the Zika virus theme. Data analysis was performed using the open, axial and selective coding processes, according to the principles of the grounded theory.
Findings
Based on data collection and analysis, seven theoretical categories representing intervening factors in Zika virus research data communication were identified. The emerging theory showed the centrality of researchers’ expectations for acknowledgment and reward, influenced by the aspects of research funding and academic culture. Three factors involved in the macro processes of research data communication: data use, data production and data sharing. In the use and production processes, factors related to collaboration figured most strongly. In the production and sharing processes, the factors regarding data processing and the use of research data repositories were more pronounced. Finally, data sharing, and the possibility of reusing data are directly affected by the social context of Zika virus disease as an emerging disease.
Originality/value
The study presents a theory developed systematically to explain the phenomenon of communication of research data on Zika virus. The theory presents a set of intervening factors of the process of communication of research data and discusses the factors in light of the fundamentals of information science.
Journal Article
Computer-mediated briefing for architects
\"This book overviews the possibilities and limitations offered by various types of computer programs, such as database management systems, diagramming software, CAD, and BIM, offering a practical approach in the accommodation of these programs and as an essential reference for architectural educators, students, and practitioners\"-- Provided by publisher.
Book
An adaptive anti-jamming system in HyperLedger-based wireless sensor networks
Using new methodologies such as Blockchain in data communications in wireless sensor networks (WSN) has emerged owing to the proliferation of collaborative technologies. However, the WSN is still vulnerable to denial of service cyber attacks, in which jamming attack becomes prevalent in blocking data communications in WSN. The jamming attack launches malicious sensor nodes to block legitimate data communications by intentional interference. This can in turn cause monitoring disruptions, data loss and other safety-critical issues. In order to address the malicious attacks, this paper proposes an adaptive anti-jamming solution based on Hyperledger Fabric-based Blockchain, named as ABAS, to ensure the reliability and adaptivity of data communication in case of jamming attacks. In order to validate the ABAS solution, we applied the algorithm in healthcare WSN and showed that ABAS has significantly reduce the jamming coverage and energy consumption while maintaining high computational performance.
Journal Article
Algorithm to Enhance Security of Dynamic Data Migration in Optical Fiber Network
Due to low efficiency of communication data transmission, low security of dynamic migration and high error of communication data migration in current algorithms, an algorithm to enhance the security communication data of dynamic migration in optical fiber network based on multi-valued attribute and fuzzy attribute was proposed. Firstly, the communication data in the optical fiber network was abstracted into a matrix by the loop model, and the spatial and temporal correlation was mapped into the wavelet row transform and wavelet column transform of matrix. Meanwhile, the spatial and temporal correlation of communication data in optical fiber network was mined, so that the compression of communication data was completed. This compression avoided the damage of data. Secondly, the communication data of optical fiber network was encrypted to ensure the security of dynamic data migration. Finally, the dynamic migration security of communication data in optical fiber network was enhanced by compressing and encrypting the communication data. Experimental results show that the proposed algorithm has the advantages of high transmission efficiency, good dynamic migration security and low migration error when enhancing the security of communication data dynamic migration. Thus, the effectiveness of the proposed algorithm is proved.
Journal Article
Cyber threat intelligence as team work : how to do team-work activities contribute to the success of cyber-crime initiatives, what are the central principles of' effective team-working', and how necessary are physically integrated teams in a time of inter-agency, online collaborative working ?
Criminology with cybercrime.
Book
Machine Learning-Enabled Secure Unified Framework for Remote Electrocardiogram Monitoring via a Multi-Level Blockchain System
Timely classification of cardiovascular diseases is crucial to improve medical outcomes. Emerging remote patient monitoring systems help achieve this by enabling continuous monitoring of electrocardiogram signals in home environments. However, these systems struggle with unique challenges like missing genuine medical emergencies, rising energy demands, scalability challenges, handling vast medical databases, data processing delays, and safeguarding patient records. To overcome these challenges, we propose a single framework with three main phases: (a) an embedded hardware-driven K-Nearest Neighbor (KNN)-assisted real-time ECG monitoring and classification method; (b) a differentiated communication strategy (DCS) formed with a priority-based ECG data packaging framework and multi-layered security protocols; and (c) a multi-level blockchain network (MLBN) architecture armed with adaptive security mechanisms and real-time cross-chain medical data communication bridges. Simulations are conducted using the ECG signals (1000 fragments) dataset and the Ganache Ethereum development framework. The classification accuracies obtained for patient urgent categories U1 to U5 are 91.43%, 95.71%, 94.23%, 90.00%, and 91.43%, respectively. The performance evaluation results of the KNN-guided classification method, along with DCS and MLBN simulation results obtained from average gas consumption analysis, confirms reliability and viability of our framework, while also revolutionizing remote patient monitoring technology and addressing critical challenges in existing systems.
Journal Article