With the worldwide increase in disaster occurrences and their scale of damage, a resilient information and Communication technology (ICT) system that remains available in disaster-affected areas despite Internet, tele...
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ISBN:
(纸本)9791188428137
With the worldwide increase in disaster occurrences and their scale of damage, a resilient information and Communication technology (ICT) system that remains available in disaster-affected areas despite Internet, telecom, or mobile service disruptions is strongly desired. In particular, disaster first responders who rush to disaster-stricken areas to carry out investigations, search and rescue operations for people, require tools to collect, share, report, and record disaster information. This paper proposes a portable and elastic edge computing network to support the activities of disaster first responders. The portability and elasticity features enable us to adaptively apply the proposed edge computing network in various disaster situations. In the edge computing node, Artificial Intelligence (AI) functions, such as automatic speed recognition, are equipped to offer handsfree operation and on-site intelligent image processing for first responders. We developed a pilot model of an edge computing node and confirmed the requirements to include AI functionality through experimental evaluation. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.
Cloud computing (CC) has ushered in a paradigm shift in the provisioning of IT resources, offering users enhanced cost-efficiency and streamlined infrastructure management. However, this growth in CC adoption has also...
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The impact of artificial intelligence-driven process automation on digital nomads' work-life balance was studied using a mixed-methods approach that combines quantitative and qualitative evidence to better underst...
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With the advancement of pervasive technology, information interaction has become increasingly ubiquitous. In these diverse information access devices and interfaces, it is crucial to understand and improve the user ex...
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ISBN:
(纸本)9798400710582
With the advancement of pervasive technology, information interaction has become increasingly ubiquitous. In these diverse information access devices and interfaces, it is crucial to understand and improve the user experience during human-information interaction. In recent years, we have seen a rapid uptake of physiological sensors used to estimate the cognitive aspect of the interaction. However, several challenges remain from a ubiquitous computing perspective, such as the definitions discrepancy of cognitive activities (e.g., cognitive bias or information need) and the lack of standard practice for collecting and processing physiological data in information interaction. In this workshop, we bring together researchers from different disciplines to form a common understanding of cognitive activities, discuss best practices to quantify the cognitive aspects of human-information interaction, and reflect on potential applications and ethical issues arising from physiological sensing methods.
The "satellite data acquisition and ground processing" mode is difficult to meet the characteristics of detection and recognition in high real-time tasks such as target tracking and disaster detection caused...
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Fog computing (FC) is introduced as an extended technique of cloud computing. FC makes it possible to compute straightly on the brim of the network. In FC application systems, authentication is an important security r...
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Serverless computing has emerged as a compelling paradigm for the deployment of applications at the edge facilitating performant and lightweight services. Services deployed at the edge typically consume lesser compute...
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Trusted computing is an effective means of system security protection, encompassing various security solutions. However, these solutions exhibit individual shortcomings, such as the co-location of protective code and ...
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Cloud computing have increased computing capabilities and open new horizons for computer science and communication but brought along challenges such as data protection, cloud computing uses information being sent over...
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Timely and accurate detection of plant diseases is critical for sustainable crop production. This paper presents a comparative analysis of convolutional neural network (CNN) models for automated tomato leaf disease de...
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