Collab-SAR: A Collaborative Avalanche Search-and-Rescue Missions Exploiting Hostile Alpine Networks

Rahman, Arafatur; Azad, Saiful; Asyhari, A. Taufiq; Bhuiyan, Zakirul Alam; Anwar, Khoirul

doi:10.1109/access.2018.2848366

Cited by 24 publications

(10 citation statements)

References 34 publications

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“…The technology selection is a crucial part of an efficient system. There are several challenges that need to take into account while selecting a technology such as Data Rate, Coverage, Mobility Support, Latency, Reducing Energy Expenditure, Unlicensed Operating Band and so on [18]. As WiFi is a prominent available technology which counteracts all the aforesaid challenges, we consider it in our system.…”

Section: B Technology Selectionmentioning

confidence: 99%

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Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

et al. 2019

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The widespread adoption of technology-enhanced learning in various knowledge disciplines has pushed forward the development of information technology-assisted media for language learning and teaching. However, most of the existing electronic-learning (e-learning) solutions have underexplored and under-addressed given specific characteristics of grammar learning, which is one of the most demanding areas of language education. The lack of pedagogically informed instructional design to enhance learning performance on the current system can result in low motivation and engagement due to an imbalance and excessive increase of the cognitive load. This paper attempts to address these deficiencies posed by the existing systems by proposing smart communication networks that are driven by the student learning experience to manage cognitive load in the context of grammar learning. The e-grammar learning networks serve as a collaborative learning platform that combines a pedagogically informed instructional model named attention, relevance, confidence, and satisfaction (ARCS) and cyber interaction among teaching/learning agents. From the technological perspective, our numerical simulations demonstrate the desirable performance indicators of the proposed networks to facilitate information exchange and learning. From the education perspective, our empirical studies show that the overall smart network-enabled e-grammar learning system has desirable characteristics to motivate learners (m = 3.78) and manage their overall cognitive load (m =1.73), which suggest the promising capability of the proposed system.

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Section: B Technology Selectionmentioning

confidence: 99%

“…As WiFi is a prominent available technology which counteracts all the aforesaid challenges, we consider it in our system. For further details of the technology selection process, we refer the readers to [18].…”

Section: B Technology Selectionmentioning

confidence: 99%

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

et al. 2019

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“…The adoption of Industry 4.0 was made possible due to technologies such as Industrial Internet of Things (IIoT) and Cyber-Physical Systems (CPS) that imply one of the main characteristics of Industry 4.0, which is the merging of the cyber and physical worlds, enabling remote management of devices. The benefits of Industry 4.0, have been realised due to the interconnection of users and devices, the real-time processing and centralized aggregation of data which powers the optimisation of the production processes costs and improve services [8]- [10]. Smart airports emerged as a result of the mass adoption of IoT and Industry 4.0, coupled with increases in the frequency of commercial flights around the globe [11].…”

Section: Introductionmentioning

confidence: 99%

A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports

et al. 2020

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“…Time is crucial in evacuation situations in case of emergency, while the people's behavior is rather unpredictable and depends of a series of factors such as: age [1], [2], emotions [1], [3]- [6], social background [7], density [8]- [10], environment conditions and localization [11], [12], the presence or absence of guidance or authority figures [1], [13]- [18], geographic features [19], the degree of familiarity with the environment [20], etc.…”

Section: Introductionmentioning

confidence: 99%

Establishing the Proper Seating Arrangement in Elevated Lecture Halls for a Faster Evacuation Process

et al. 2019

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As time is crucial in the human evacuation process during an emergency situation, several aspects related to how the humans involved in such a process act have been studied over the time, underlying that the humans' behavior is rather unpredictable and depends on social background, emotions, the degree of familiarity with the environment, age, gender, and so on. On the other hand, it has been determined that the characteristics of the environment are important in such situations as they may facilitate a shorter evacuation time. It has been shown that exits characteristics, such as width or their number, have a positive direct impact on the evacuation time. In this context, this paper aims to analyze another environmental aspect, namely, the seat arrangement, and to determine how the seats should be placed in order to reduce the evacuation time for a given configuration of the doors. On this purpose, an elevated lecture hall with two exits has been chosen, as it represents one of the most populated places within the public buildings, characterized not only by a high population density but also by a limited capacity to escape. A case study has been conducted using 97 human subjects and an agent-based model has been created considering their individual characteristics. The model has been simulated on eight different seat arrangements for 15 different positions on the two exitdoors. As a result, the proper seating arrangement for each of the 15 exit-door positions has been presented along with the study's limitations.

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Collab-SAR: A Collaborative Avalanche Search-and-Rescue Missions Exploiting Hostile Alpine Networks

Cited by 24 publications

References 34 publications

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports

Establishing the Proper Seating Arrangement in Elevated Lecture Halls for a Faster Evacuation Process

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