Applications to Cell-Based ATM and High-Speed Data Networks

Author(s):  
Byeong Gi Lee ◽  
Seok Chang Kim
Author(s):  
Michael Singh ◽  
Jinghe Han

<p>We engage with and respond to the debate raised by this theme issue of the International Review of Research in Open and Distance Learning with a particular question in mind: namely, as universities are using new labor displacing technologies to export degrees to meet the international demand for higher education, how is this influencing – negatively and positively – the workers involved? Contemporary transitions in political and economic globalization are being used to press universities into becoming ‘transnational businesses,’ seemingly driven by a primary concern for marketing educational commodities. The neo-liberal politics driving these currents in universities are increasing the multiple online and offline networks. These local/ global meshworks engage the labors of a small but growing percentage of the world’s population (Singh, 2002, pp. 217-230). Writing this paper at Jilin University in China, we find that many of our academic colleagues and students have limited access to a personal desktop computer, the Internet, and email. They must pay for timed access to their email accounts and for downloading attachments. They do not have access to high-speed data networks. A timer indicates how long it will take to open and send emails. Around us, construction workers are building massive facilities to house the burgeoning on-campus student population. Their offline education is being supplemented – but not replaced by ever-advancing online technologies. </p>


2019 ◽  
Vol 25 (1) ◽  
pp. 41-60 ◽  
Author(s):  
Prashant Kharat ◽  
Muralidhar Kulkarni

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khalid Almarri ◽  
Halim Boussabaine ◽  
Hamad Al Nauimi

Purpose The internet of things (IoT) is becoming an increasingly inescapable part of society. IoT paradigm cannot function without the networking infrastructure. High-speed data networks are essential to enable the IoT future. Thus, the purpose of this study is on the identification of risks that influence the development, installation and operation of information and communication technology (ICT) infrastructure network project cost outcomes. So far, there has been little attention has been paid to risks problems in these types of IoT enabling projects. Design/methodology/approach This research follows a quantitative analysis approach. Data for this study were collected by a survey from 209 professionals. Multiple regression analysis was used to model the relationship between risks and outturn cost of infrastructure needed to enable the operation of IoT technologies. Findings The main risk factors that were identified were planning and development, people and management, operations, technology and hardware. Research limitations/implications This research has expanded the existing literature by documenting and clustering ICT infrastructure network project risks into themes, and has developed a scale (risk statements) for measuring such risks. Further, the research has advanced the understanding by identifying the most likely risks that will contribute to the overrun of these projects. Originality/value This research establishes a reliable regression method for the assessment of the risks that influence the development, installation and operation of ICT infrastructure network projects outturn cost. No other research has measured or studied the risks in this type of project.


1995 ◽  
Author(s):  
Wanda B. Perkins ◽  
I. K. Dabipi ◽  
E. W. Hinds

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