An Internet of Things (IoT) Based System to Analyze Real-time Collapsing Probability of Structures

Paul, Pritam; Dutta, Nixon; Biswas, Bidrohi Ananya; Das, Mautushi; Biswas, Shuvam; Khalid, Zubayr; Saha, Himadri Nath

doi:10.1109/iemcon.2018.8614743

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…In case any anomalous behavior is identified, real time alert mechanisms are necessary to prevent potential threats. Therefore, real-time analysis of the network traffic and alarm generation for suspicious events and behaviors are required [24]. • Security risk management: Security risk management considers security risks that need to be identified.…”

Section: B Security and Privacy Perspectivementioning

confidence: 99%

Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms

Mijuskovic

Ullah

Bemthuis

et al. 2021

IEEE Internet Things J.

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Many researchers try to make a comparison between various IoT platforms based on specific requirements. However, none of the reviewed studies proposed a thorough analysis of the variety of comparative methods. Since there is a lack of comparison frameworks for IoT platforms, individuals or companies have difficulties when selecting a suitable IoT platform matching their associated business requirements. In order to support this selection process, a set of functional and non-functional requirements is identified. A framework containing methods in selecting an IoT platform is presented. The methodology is based on statistical and visualization techniques to recommend a suitable IoT platform. Five IoT platforms: Azure, AWS, SaS, ThingWorx, and Kaa IoT are studied to evaluate the performance of the framework. Different comparison methods are proposed, and multi-criteria decision analysis method was applied by using an Analytical Hierarchical Process (AHP). One of the methods clusters the functional requirements and compares the IoT platforms based on their ability in supporting a specific requirement or not. K-means clustering was applied to determine the clusters of functional requirements. The comparison was made based on hierarchical level of requirements per main requirement. The other methods use the following statistical tests: Error Bar test, One-way Anova Test, and Tukey's Honest Significant Difference Test. Based on the selected requirements, an approach is suggested which IoT platform can be used.

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Section: B Security and Privacy Perspectivementioning

confidence: 99%

Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms

Mijuskovic

Ullah

Bemthuis

et al. 2021

IEEE Internet Things J.

View full text Add to dashboard Cite

show abstract

“…Many studies have employed IoT-based systems in various applications in construction industry [60][61][62][63][64]. Based on established maturity functions, limited research has constructed Internet of Things (IoT)-enabled systems to examine the early-age concrete strength monitoring [18,[65][66][67][68].…”

Section: Introductionmentioning

confidence: 99%

Real-time monitoring of early-age compressive strength of concrete using an IoT-enabled monitoring system: an investigative study

Miller

Talebian

et al. 2023

Innov. Infrastruct. Solut.

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Determination of the early-age compressive strength of concrete is essential for quality assurance, safety, and economy of construction projects. Due to manual operation on construction site, conventional maturity meters are not efficient for live monitoring of the early-age concrete strength. Higher levels of automated and computerised improvements have been made possible by recent developments in wireless communications, sensor technologies, and data processing methods across the construction industry. For real-time monitoring of the early-stage concrete strength, the current study presents an innovative Internet of Things (IoT)-enabled system developed by concrete data sensors (CDS), an Australian-owned private business. The CDS sensor system (the system) communicates with temperature sensors via long-range wide-area network and is linked to a cloud-based platform for data storage. The suggested system’s effectiveness was assessed using three concrete mixtures and developed maturity relationships. It was observed that the predicted early-age compressive strength of the mixes matches well with the actual compressive strength and that the system can effectively automate the characterisation of maturity.

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“…With the rapid adoption of IoT technology for various projects, it is projected that by 2026, the IoT market will be valued at USD 1102.6 billion [3]. The IoT-based applications have attracted voluminous attention and researchers, as well as engineers, have been exploring the possibility of using IoT for every possible scenario including disaster management [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster Management Software Tool by Rescue Workers

Brar

Shah

Singh

et al. 2022

Sensors

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Advancements in IoT technology have been instrumental in the design and implementation of various ubiquitous services. One such design activity was carried out by the authors of this paper, who proposed a novel cloud-centric IoT-based disaster management framework and developed a multimedia-based prototype that employed real-time geographical maps. The multimedia-based system can provide vital information on maps that can improve the planning and execution of evacuation tasks. This study was intended to explore the acceptance of the proposed technology by the specific set of users that could potentially lead to its adoption by rescue agencies for carrying out indoor rescue and evacuation operations. The novelty of this study lies in the concept that the acceptability of the proposed system was ascertained before the complete implementation of the system, which prevented potential losses of time and other resources. Based on the extended Technology Acceptance Model (TAM), we proposed a model included factors such as perceived usefulness, perceived ease of use, attitude, and behavioural intention. Other factors include trust in the proposed system, job relevance, and information requirement characteristics. Online survey data collected from the respondents were analyzed using structural equation modelling (SEM) revealed that although perceived ease of use and job relevance had significant impacts on perceived usefulness, trust had a somewhat milder impact on the same. The model also demonstrated a statistically moderate impact of trust and perceived ease of use on behavioural intention. All other relationships were statistically strong. Overall, all proposed relationships were supported, with the research model providing a better understanding of the perceptions of users towards the adoption of the proposed technology. This would be particularly useful while making decisions regarding the inclusion of various features during the industrial production of the proposed system.

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An Internet of Things (IoT) Based System to Analyze Real-time Collapsing Probability of Structures

Cited by 12 publications

References 7 publications

Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms

Comparing Apples and Oranges in IoT Context: A Deep Dive Into Methods for Comparing IoT Platforms

Real-time monitoring of early-age compressive strength of concrete using an IoT-enabled monitoring system: an investigative study

Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster Management Software Tool by Rescue Workers

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