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Snap4City: A Scalable IOT/IOE Platform for Developing Smart City Applications
2018
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
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The combination of IOT and smart city is not an easy task, the data volumes are much higher than those addressed for industrial IOT. ...
Smart City solutions, initially started with open data, are evolving towards data aggregation and semantics. Recently, some of them are also offering IOT support. ...
We also thanks to Km4City for the usage of data for testing and validation in the early phases. ...
doi:10.1109/smartworld.2018.00353
dblp:conf/uic/BadiiBBCMMNPPVS18
fatcat:36jc7x6vdbaglir23zorua7que
Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism
2020
Energy Informatics
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The results show that smart grids, smart meters, smart buildings, smart environmental monitoring, and smart urban metabolism are the main data-driven smart solutions applied for improving and advancing ...
Therefore, this paper investigates the potential and role of data-driven smart solutions in improving and advancing environmental sustainability in the context of smart cities as well as sustainable cities ...
Availability of data and materials Not applicable. ...
doi:10.1186/s42162-020-00130-8
fatcat:4c2ik34b6na4tmidre525xlxjy
Smart Solutions for Logistics and Supply Chain Management
2019
International journal of recent technology and engineering
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This work aims at exploring the state of art on the smart solutions such as Big Data Analytics, Cloud Computing, Internet of Things (IoT) and Blockchain in Logistics and Supply Chain Management (SCM). ...
Smart technologies can help to get a clear data of the condition, location, and environment of goods, and processes at anytime, anywhere, also to make intelligent decisions and take corrective actions ...
SMART SUPPLY CHAIN MODEL A smart supply chain model that integrates Cloud Computing, Big Data Analytics, Internet of Things (IoT), and Blockchain for supply chain management is considered in this research ...
doi:10.35940/ijrte.d7374.118419
fatcat:u6fmdhvebzcqpfnqeh4nw75ydm
Advancing IoT-Based Smart Irrigation
2019
IEEE Internet of Things Magazine
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data-driven solutions. ...
Figure 1 . 1 IoT-ML platform overview and end-to-end data path for a smart irrigation scenario.. ...
and irrigation systems [15] . 2 All websites cited throughout the text have been checked at Oct. 14 2019. 3 Physical models process mainly weather data to estimate water consumption, and as consequence ...
doi:10.1109/iotm.0001.1900046
fatcat:zcgipcrxbvczxdfnpve4tkprj4
MicroServices Suite for Smart City Applications
2019
Sensors
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IoT solutions are moving forward to event-driven processes using push protocols. ...
Most of the first-generation Smart City solutions are based on Extract Transform Load (ETL); processes and languages that mainly support pull protocols for data gathering. ...
Most of the above solutions are strongly focused on producing code for embedded devices with a functional model and are not data driven/flows, for example, Scratch, Modkit, miniBloq, etc. ...
doi:10.3390/s19214798
pmid:31690012
pmcid:PMC6864587
fatcat:b5v4z537trgbfnvconqhsl7ogy
Connected motorized riders — A smart mobility system to connect two and three-wheelers
2016
2016 Sixth International Symposium on Embedded Computing and System Design (ISED)
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In this project we propose an IoT-based smart mobility system which tracks data, such as the vehicle location, vehicle speed, alcohol level of the driver, etc. efficiently over the internet. ...
As urban areas are flooded with two (motorcycles) and three wheelers (auto-rickshaws), introducing smart control of such vehicles may reduce the congestion on the roads and the number of accidents. ...
of processes, how they are activated, and the data flow among them. ...
doi:10.1109/ised.2016.7977110
dblp:conf/ised/SundharamFN16
fatcat:krlelgzrrvfz3nqoabwmzzrekm
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control
[article]
2022
arXiv
pre-print
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Digital twin (DT) technologies have emerged as a solution for real-time data-driven modeling of cyber physical systems (CPS) using the vast amount of data available by Internet of Things (IoT) networks ...
We discuss the moment of the DT framework in facilitating implementation of network-based control processes and its implications for critical infrastructure. ...
In this paper, we introduce an intelligent DT framework as a scalable solution for data-driven modeling and live simulation of large-scale systems over 5G/6G based IoT networks. ...
arXiv:2204.01950v2
fatcat:wudhticzffdb3hazbgryzprpyu
From Digital Shop floor to Real-Time Reporting: an IIoT Based Educational Use Case
2020
Procedia Manufacturing
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It provides students with a hands-on experience as well as deep insights in what is meant by modelling and implementing an IoT data flow from the shop floor to real-time reporting. ...
It provides students with a hands-on experience as well as deep insights in what is meant by modelling and implementing an IoT data flow from the shop floor to real-time reporting. ...
In managing those, companies can not only increase efficiency, productivity and competitiveness but can also persue new data-driven business models [4] . ...
doi:10.1016/j.promfg.2020.04.055
fatcat:mqnaxlbskjhbpccqi2bs4cqydy
Digital Twin—Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions
2022
Future Internet
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We then review existing efforts on applying DT into IoT data-driven smart systems, including the smart grid, smart transportation, smart manufacturing, and smart cities. ...
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out the monitoring and control of numerous things in cyber-physical systems (CPS). ...
[74] proposed a scheme for DT-driven smart transportation that attempts to optimize traffic flows in urban areas. ...
doi:10.3390/fi14020064
fatcat:pqdwwc6trbcnpoq7em6jse4jsi
An Interoperable Component-Based Architecture for Data-Driven IoT System
2019
Sensors
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The advancement of the Internet of Things (IoT) as a solution in diverse application domains has nurtured the expansion in the number of devices and data volume. ...
Furthermore, a data-driven feedback function is included as a key feature of the proposed architecture to enable a greater degree of system automation and to reduce the dependency on mankind for data analysis ...
Data-driven Feedback Model Component The data-driven feedback model component is a Unix-like development environment for the data-driven models for smart optimization and prediction. ...
doi:10.3390/s19204354
fatcat:bb5nelndczg3vearlvx5gl55om
A Hybrid Scheduling Mechanism based on Agent Cooperation Mechanism and Fair Emergency First in Smart Factory
2020
IEEE Access
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Technology) and now IoT based technologies, models, frameworks and solutions. ...
Simulated sensing data for temperature and humidity for candy box factory
FIGURE 9 . 9 Event driven tasks simulation flow for candy box factory
FIGURE 10 . 10 Periodic tasks simulation flow for candy ...
doi:10.1109/access.2020.3046097
fatcat:sk7ecbxh7bgl3hykyyiacqburi
IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies
2022
Applied Sciences
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In fact, novel advancements to the Internet of things (IoT) have paved the way for new possibilities, representing a set of key enabling technologies for smart cities and allowing the production and automation ...
This paper presents a review of the research literature on IoT-enabled smart cities, with the aim of highlighting the main trends and open challenges of adopting IoT technologies for the development of ...
Smart agriculture systems often employ IoT devices to improve irrigation efficiency [89] and AI solutions are often deployed in IoT for agriculture, e.g., for crop monitoring, disease detection and data-driven ...
doi:10.3390/app12031607
fatcat:npyvku7embfazghjit5orfrhfe
Smart Supply Chain – challenges of information-driven management
2018
European Journal of Service Management
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The basis for building new generation supply chains is the possibility to link data and information from different sources. ...
The aim of this article is to present the concept of the Smart Supply Chain in the context of challenges related to the management of information flow. ...
IoT is a network of people, processes, data, devices, applications and things connected to the Internet. ...
doi:10.18276/ejsm.2018.25-11
fatcat:oj3z5dkkfffwnfgex365fwpszu
Internet of Things (IoT) as Sustainable Development Goals (SDG) Enabling Technology towards Smart Readiness Indicators (SRI) for University Buildings
2021
Sustainability
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Two conceptual spaces (physical and digital) within two dimensions (users and infrastructures) are designated over an IoT three-level model (information acquisition, interoperable communication, and data-driven ...
This article proposes a "measure–analyse–decide and act" methodology to quantify the Smart Readiness Indicator (SRI) for university buildings as a reference environment for energy efficiency and COVID- ...
Acknowledgments: Authors thanks to Engineering and Architecture School (EINA), Green University Office and University of Zaragoza for their support in this work. ...
doi:10.3390/su13147647
fatcat:pxi2g4tokvdorpeyhzb7dljikq
Microservices based Framework to Support Interoperable IoT Applications for Enhanced Data Analytics
[article]
2019
arXiv
pre-print
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The knowledge-driven aspects are supported with reasoning on semantic ontology models and the data-driven aspects are realized with machine learning pipeline. ...
Management of heterogeneous IoT objects with existing approaches and processing of myriads of data from these objects using monolithic services have become major challenges in developing effective IoT ...
First, we propose an interoperability solution for heterogeneous IoT domains and secondly on top of this framework we have designed knowledge-driven and data-driven analytic microservices that provide ...
arXiv:1910.08713v1
fatcat:3gjf3pay5bacff44ve46f4o3qm
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