Analysis of multi-dimensional Industrial IoT (IIoT) data in Edge-Fog-Cloud based architectural frameworks: A survey on current state and research challenges

R Kumar, N Agrawal - Journal of Industrial Information Integration, 2023 - Elsevier
Cloud computing is changing the traditional ways of computing using its different forms and
architectural types such as Edge and Fog computing. These computing frameworks are the …

[HTML][HTML] A partially non-compensatory method to measure the smart and sustainable level of Italian municipalities

A Ciacci, E Ivaldi, R González-Relaño - Sustainability, 2021 - mdpi.com
A smart sustainable city (SSC) is a paradigm that encapsulates the latest lines of
development in multiple fields of research. The attempt to converge towards a model of …

Spatio-Temporal Clustering Analysis for Air Pollution Particulate Matter (PM2.5) Using a Deep Learning Model

KS Harishkumar, I Gad… - … conference on computing …, 2021 - ieeexplore.ieee.org
Fine particulate issue (PM 2.5) is normal air contamination and has antagonistic well-being
impacts globally, particularly in the quickly industrial nation such as Taiwan because of …

People flow prediction by multi-agent simulator

D Sato, T Matsubayashi, S Nagano… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In places where many people gather, such as large-scale event venues, it is important to
prevent crowd accidents from occurring. To that end, we must predict the flows of people and …

Multi agent flow estimation based on Bayesian optimization with time delay and low dimensional parameter conversion

H Kiyotake, M Kohjima, T Matsubayashi… - PRIMA 2018: Principles …, 2018 - Springer
Forming comprehensive security plans is essential to ensure safety at large events. The
Multi Agent Simulator (MAS) is widely used for preparing security plans that will guide …

Predicting people flow for supporting facility management

K Tsunoda, T Hata, K Obana - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
This paper proposes a novel method to predict people flow in a facility such as a shopping
mall for supporting facility management including air-conditioning, cleaning, maintenance …

[图书][B] Data and resource management in wireless networks via data compression, GPS-free dissemination, and learning

X Cao - 2021 - search.proquest.com
This research proposes several innovative approaches to collect data efficiently from large
scale WSNs. First, a Z-compression algorithm has been proposed which exploits the …

Check for

DRL Based, FLE Vehicular, E Computing… - … , CNIS 2023, Guilin …, 2023 - books.google.com
In the traditional vehicular network, computing tasks generated by the vehicles are usually
uploaded to the cloud for processing. However, since task offloading toward the cloud will …

Time-Series Predictions for People-Flow with Simulation Data

H Tang, T Matsubayashi, D Sato, H Toda - PRIMA 2018: Principles and …, 2018 - Springer
In order to prevent accidents, it is important that the administrators of large-scale facilities or
event organizers be able to analyze and predict human flow. Time series prediction is …

都市における人流の理解と予測

戸田浩之 - 応用物理, 2021 - jstage.jst.go.jp
抄録 スマートフォンの普及に伴い, 人やモノの位置を測位し, さまざまな用途で活用する機会が増え
ている. 本稿では, 人の位置情報というプライバシーに関わる情報を保護しつつ …