Towards Validating Risk Indicators Based on Measurement Theory (Extended version) [PDF]
, 2010 Due to the lack of quantitative information and for cost-efficiency, most risk assessment methods use partially ordered values (e.g. high, medium, low) as risk indicators.
Morali, Ayse, Wieringa, Roel
core +8 more sources
Stand-Alone and Hybrid Positioning Using Asynchronous Pseudolites
Sensors, 2014 global navigation satellite system (GNSS) receivers are usually unable to achieve satisfactory performance in difficult environments, such as open-pit mines, urban canyons and indoors. Pseudolites have the potential to extend GNSS usage and significantly
Ciro Gioia, Daniele Borio
doaj +1 more source
Selecting a Secure Cloud Provider—An Empirical Study and Multi Criteria Approach
Information, 2020 Security has become one of the primary factors that cloud customers consider when they select a cloud provider for migrating their data and applications into the Cloud.
Sebastian Pape +3 more
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Security Analysis and Enhancement of INTERBUS Protocol in ICS Based on Colored Petri Net
Information, 2023 The integration of buses in industrial control systems, fueled by advancements such as the Internet of Things (IoT), has led to their widespread adoption, significantly enhancing operational efficiency.
Tao Feng +3 more
doaj +1 more source
Impact Webs: a novel conceptual modelling approach for characterising and assessing complex risks [PDF]
Hydrology and Earth System SciencesIdentifying, characterising, and assessing the complex nature of risks are vital to realise the expected outcome of the Sendai Framework for Disaster Risk Reduction.
E. Sparkes +5 more
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Research on Text Information Depth Extraction and Multi-keyword Parallel Matching Technique [PDF]
Jisuanji gongcheng, 2018 At present,text information extraction and retrieval cannot adapt to the complex environment,limited by user rights and facing the problem of large storage capacity.Based on the feature analysis of all kinds of document text information,a parallel depth ...
WANG Wenqi,LI Yong,GUAN Yunyun
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Cross-Network User Identity Linkage Method with Deep Learning Based on SDNE Embedding Representation [PDF]
Jisuanji kexue yu tansuoMining the correlation between massive virtual identities and determining the identity of different virtual identities are of great significance for accurate user recommendation, abnormal user detection, public opinion control and so on.
CHENG Jialin, YUAN Deyu, SUN Zeyu, CHEN Ziyan
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Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems, cyber risk at the edge [PDF]
, 2020 The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture.
Ani, Uchenna +9 more
core +3 more sources
X-ray Prohibited Items Detection Based on Inverted Bottleneck and Light Convolution Block Attention Module [PDF]
Jisuanji kexue yu tansuoTo resolve the problems of position and angle change causing miss and false detection, low accuracy of difficult samples in X-ray luggage images, using YOLOv5 as the baseline, this paper proposes a model by inverted bottleneck and light convolution block
DONG Yishan, GUO Jingyuan, LI Mingze, SUN Jia'ao, LU Shuhua
doaj +1 more source
Preliminary Examination of Emergent Threat and Risk Landscapes in Intelligent Harvesting Robots
Applied Sciences, 2022 Recently, many farmers have started using robots to help with labour-intensive harvesting operations and deal with labour shortage that was also a negative consequence of the recent COVID-19 pandemic.
Nabil Moukafih +4 more
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