162 research outputs found
Muh. Ansar Jafar's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Muh. Ansar Jafar's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Muh. Ansar Jafar's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Special issue on advances in data intelligence and modelling
No full textShakshuki, EM (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada.
[email protected]; [email protected]
Internet of Things and Blockchain Technology in Apparel Manufacturing Supply Chain Data Management
No full textThe rapid changes in textile and clothing industry's operational environment in which apparel businesses are collaborating with their suppliers and customers have recognized interoperability of information systems as an important factor. The need to address this challenge becomes vital in the context of new paradigms such as the Internet of Things (IoT), and its ability to capture real-time information from different parts of textile and cloth manufacturing value chain by using Radio Frequency Identification (RFID) tags and sensors-based data communication networks. In this process, enterprise information system architecture plays an important role in storing, processing, and distributing data. Despite contributing to the rapid development of IoT applications, the current IoT-centric architecture has led to a myriad of isolated data silos. This paper presents a blockchain-based architecture for the IoT applications, which brings distributed data management to support transactions services within a multi-party apparel business supply chain network. (C) 2020 The Authors. Published by Elsevier B.V.Pal, K (corresponding author), City Univ London, Dept Comp Sci, London ECV 0HB, England.
[email protected]
Applications of machine learning in pervasive systems
No full textShakshuki, EM (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada.
[email protected]; [email protected]; [email protected]
Special issue on ubiquitous computing and NextGen context-fusion
No full textYasar, AU (reprint author), Hasselt Univ, Transportat Res Inst, Hasselt, Belgium.
[email protected]; [email protected]; [email protected]
Special issue on ubiquitous computing in the IoT revolution
No full textShakshuki, EM (corresponding author), Acad Univ, Jodrey Sch Comp Sci, Wolfville, NS, Canada.
[email protected]; [email protected]; [email protected]
Cloud Acknowledgment Scheme for a Node Network
No full textRecently, wireless devices are rapidly added to existing networks. This growth is due to abrupt development in technology and change of lifestyle. Due to the distribution nature of these networks, it is essential to mention that there is a substantial increase in the number of attacks as the network is expanding. By virtue of such trend, we are interested in bringing back centralization of a network even in wireless networks to deal with such attacks. In this paper, we propose a scheme called Cloud ACKnowledgement Scheme (CACKS) to strengthen a wireless network by fetching cloud as a monitoring tool. To validate our proposed approach, we performed several experiments using OMNET++ 5.4.1. The outcome of these experiments shows that the proposed scheme strongly monitors and protects the network from attackers while supporting unrestricted mobility. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs.Kaja, S (corresponding author), Acadia Univ, Jodrey Sch Comp Sci, Wolfville, NS B4P 2R6, Canada.
[email protected]
Modelling Value of Time for Trip Chains in Daily Schedules
No full textAbstractThe decision about spending time on an activity, switching to the next activity and transport mode used to travel to the next activity location depends on money value of time; opportunity cost of time at activity. Optimal condition of transition between two activities occurs when their marginal utility of time is equal. The presented framework in this paper models the marginal utility of activity to express the money benefit earned by spending each unit of time at the given activity. The proposed model is generalized for the schedule with any number of activities as contrast to previous studies, where such models were used for schedules with fixed number of activities. This framework can be used to calculate the loss in value of time due decreased activity participation resulting from travel delays
- …
