Smart cities: Intelligent environments and dumb people? Panel summary

2016 ◽  
Author(s):  
Franco Zambonelli ◽  
Wolfgang de Meuter ◽  
Salil Kanhere ◽  
Seng Loke ◽  
Flora Salim
Keyword(s):  
Smart Cities ◽  
Intelligent Environments ◽  
Panel Summary

scholarly journals Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 112 ◽  
Author(s):  
Jose-Luis Poza-Lujan ◽  
Juan-Luis Posadas-Yagüe ◽  
José-Enrique Simó-Ten ◽  
Francisco Blanes
Keyword(s):  
Object Recognition ◽  
Smart Cities ◽  
Image Sensors ◽  
Sensor Data ◽  
Intelligent Environments ◽  
Distributed Information ◽  
Information Object ◽  
Environment Map ◽  
Recognition Of Objects ◽  
Integrate Sensor

Object recognition, which can be used in processes such as reconstruction of the environment map or the intelligent navigation of vehicles, is a necessary task in smart city environments. In this paper, we propose an architecture that integrates heterogeneously distributed information to recognize objects in intelligent environments. The architecture is based on the IoT/Industry 4.0 model to interconnect the devices, which are called smart resources. Smart resources can process local sensor data and offer information to other devices as a service. These other devices can be located in the same operating range (the edge), in the same intranet (the fog), or on the Internet (the cloud). Smart resources must have an intelligent layer in order to be able to process the information. A system with two smart resources equipped with different image sensors is implemented to validate the architecture. Our experiments show that the integration of information increases the certainty in the recognition of objects by 2–4%. Consequently, in intelligent environments, it seems appropriate to provide the devices with not only intelligence, but also capabilities to collaborate closely with other devices.

scholarly journals Smart Resources for Smart Cities: Distributed Architecture to Integrate Sensor Information

2019 ◽  
Author(s):  
Jose-Luis Poza-Lujan ◽  
Juan-Luis Posadas-Yagüe ◽  
Jose-Enrique Simó-Ten ◽  
Juan Francisco Blanes Noguera
Keyword(s):  
Industry 4.0 ◽  
Smart Cities ◽  
Image Sensors ◽  
Sensor Data ◽  
Intelligent Environments ◽  
Distributed Information ◽  
Environment Map ◽  
Recognition Of Objects ◽  
Sensor Information ◽  
Integrate Sensor

Objects recognition is a necessary task in smart city environments. This recognition can be used in processes such as the reconstruction of the environment map or the intelligent navigation of vehicles. This paper proposes an architecture that integrates heterogeneous distributed information to recognize objects in intelligent environments. The architecture is based on the IoT / Industry 4.0 model to interconnect the devices, called Smart Resources. Smart Resources can process local sensor data and send information to other devices. These other devices can be located in the same operating range, the Edge, in the same intranet, the Fog, or on the Internet, the Cloud. Smart Resources must have an intelligent layer in order to be able to process the information. A system with two Smart Resources equipped with different image sensors has been implemented to validate the architecture. Experiments show that the integration of information increases the certainty in the recognition of objects between 2\% and 4\%. Consequently, in the field of intelligent environments, it seems appropriate to provide the devices with intelligence, but also capabilities to collaborate closely with other devices.

scholarly journals Sensor-Enabled Context-Aware and Pro-Active Queue Management Systems in Intelligent Environments

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5837
Author(s):  
Radosław Klimek
Keyword(s):  
Smart Cities ◽  
Formal Analysis ◽  
Economic Benefits ◽  
Target System ◽  
Queue Management ◽  
Context Aware ◽  
Intelligent Environments ◽  
User Friendliness ◽  
Active Systems ◽  
Driven System

Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the flow of customers guarantees the elimination or reduction of the queues as well as the economic benefits which follow the clients’ satisfaction of a better quality of service. An intelligent queue management system has been proposed which is designed as the pro-active and context-aware ecosystem based on multiple low-level sensors and devices constituting the IoT (Internet of Things) network. The designed context-driven system is characterised by user friendliness, as well as the client behaviour recognition and understanding which generate actions that support clients, establishing wealthy environments. A prototype version of the system has been proposed which has been validated by formal analysis and simulation. This prototype can be used as a necessary experience and as a reference point when building a target system and meeting requirements typical for context-aware and pro-active systems based on IoT networks which process massive data streams.

scholarly journals Educational Mechatronics and Internet of Things: A Case Study on Dynamic Systems Using MEIoT Weather Station

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 181
Author(s):  
Miriam A. Carlos-Mancilla ◽  
Luis F. Luque-Vega ◽  
Héctor A. Guerrero-Osuna ◽  
Gerardo Ornelas-Vargas ◽  
Yehoshua Aguilar-Molina ◽  
...  
Keyword(s):  
Smart Cities ◽  
Graphic User Interface ◽  
Weather Station ◽  
Intelligent Environments ◽  
Time Data ◽  
Weather Variables ◽  
Open Platform ◽  
Smart Campus ◽  
Iot Devices

This paper presents the design and development of an IoT device, called MEIoT weather station, which combines the Educational Mechatronics and IoT to develop the required knowledge and skills for Industry 4.0. MEIoT weather station connects to the internet, measures eight weather variables, and upload the sensed data to the cloud. The MEIoT weather station is the first device working with the IoT architecture of the National Digital Observatory of Intelligent Environments. In addition, an IoT open platform, GUI-MEIoT, serves as a graphic user interface. GUI-MEIoT is used to visualize the real-time data of the weather variables, it also shows the historical data collected, and allows to export them to a csv file. Finally, an OBNiSE architecture application to Engineering Education is presented with a dynamic system case of study that includes the instructional design carried out within the Educational Mechatronics Conceptual Framework (EMCF) to show the relevance of this proposal. This work main contribution to the state of art is the design and integration of the OBNiSE architecture within the EMCF offering the possibility to add more IoT devices for several smart domains such as smart campus, smart cities, smart people and smart industries.

Technologies Disability and Inclusion

2018 ◽  
Author(s):  
Tomas Brusell
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Information And Communication Technologies ◽  
Future Development ◽  
Smart Cities ◽  
Communication Technologies ◽  
Modern Technology ◽  
The Social ◽  
The Disabled ◽  
Information And Communication

When modern technology permeates every corner of life, there are ignited more and more hopes among the disabled to be compensated for the loss of mobility and participation in normal life, and with Information and Communication Technologies (ICT), Exoskeleton Technologies and truly hands free technologies (HMI), it's possible for the disabled to be included in the social and pedagogic spheres, especially via computers and smartphones with social media apps and digital instruments for Augmented Reality (AR) .In this paper a nouvel HMI technology is presented with relevance for the inclusion of disabled in every day life with specific focus on the future development of "smart cities" and "smart homes".

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