A multi-level approach for forecasting critical events in Smart Cities (S)

2018 ◽  
Author(s):  
Francesco Colace ◽  
Marco Lombardi ◽  
Francesco Pascale ◽  
Domenico Santaniello
Keyword(s):  
Smart Cities ◽  
Critical Events ◽  
Multi Level

Solving Critical Events through Mobile Edge Computing: An Approach for Smart Cities

2016 ◽  
Author(s):  
Marco Sapienza ◽  
Ermanno Guardo ◽  
Marco Cavallo ◽  
Giuseppe La Torre ◽  
Guerrino Leombruno ◽  
...  
Keyword(s):  
Smart Cities ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Critical Events

scholarly journals A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 170 ◽  
Author(s):  
Daniel G. Costa ◽  
Francisco Vasques ◽  
Paulo Portugal ◽  
Ana Aguiar
Keyword(s):  
Real Time ◽  
Event Detection ◽  
Smart City ◽  
Smart Cities ◽  
Sensor Nodes ◽  
Risk Level ◽  
Critical Events ◽  
Emergency Situations ◽  
Alerting System ◽  
Emergency Systems

The development of efficient sensing technologies and the maturation of the Internet of Things (IoT) paradigm and related protocols have considerably fostered the expansion of sensor-based monitoring applications. A great number of those applications has been developed to monitor a set of information for better perception of the environment, with some of them being dedicated to identifying emergency situations. Current IoT-based emergency systems have limitations when considering the broader scope of smart cities, exploiting one or just a few monitoring variables or even allocating high computational burden to regular sensor nodes. In this context, we propose a distributed multi-tier emergency alerting system built around a number of sensor-based event detection units, providing real-time georeferenced information about the occurrence of critical events, while taking as input a configurable number of different scalar sensors and GPS data. The proposed system could then be used to detect and to deliver emergency alarms, which are computed based on the detected events, the previously known risk level of the affected areas and temporal information. Doing so, modularized and flexible perceptions of critical events are provided, according to the particularities of each considered smart city scenario. Besides implementing the proposed system in open-source electronic platforms, we also created a real-time visualization application to dynamically display emergency alarms on a map, demonstrating a feasible and useful application of the system as a supporting service. Therefore, this innovative approach and its corresponding physical implementation can bring valuable results for smart cities, potentially supporting the development of adaptive IoT-based emergency-aware applications.

scholarly journals On the Use of Cameras for the Detection of Critical Events in Sensors-Based Emergency Alerting Systems

2020 ◽  
Vol 9 (4) ◽  
pp. 46
Author(s):  
Daniel G. Costa ◽  
Francisco Vasques ◽  
Paulo Portugal ◽  
Ana Aguiar
Keyword(s):  
Urban Areas ◽  
Smart Cities ◽  
Distributed Monitoring ◽  
Critical Events ◽  
Visual Sensors ◽  
Emergency Situations ◽  
Visual Sensing ◽  
Negative Impacts ◽  
Emergency Detection ◽  
Alerting Systems

The adoption of emergency alerting systems can bring countless benefits when managing urban areas, industrial plants, farms, roads and virtually any area that is subject to the occurrence of critical events, supporting in rescue operations and reducing their negative impacts. For such systems, a promising approach is to exploit scalar sensors to detect events of interest, allowing for the distributed monitoring of different variables. However, the use of cameras as visual sensors can enhance the detection of critical events, which can be employed along with scalar sensors for a more comprehensive perception of the environment. Although the particularities of visual sensing may be challenging in some scenarios, the combination of scalar and visual sensors for the early detection of emergency situations can be valuable for many scenarios, such as smart cities and industry 4.0, bringing promising results. Therefore, in this article, we extend a sensors-based emergency detection and alerting system to also exploit visual monitoring when identifying critical events. Implementation and experimental details are provided to reinforce the use of cameras as a relevant sensor unit, bringing promising results for emergencies management.

SmartClean: Smart City Street Cleanliness System Using Multi-Level Assessment Model — Research Notes

2018 ◽  
Vol 28 (11n12) ◽  
pp. 1755-1774
Author(s):  
Wenrui Li ◽  
Bharat Bhushan ◽  
Jerry Gao ◽  
Pengcheng Zhang
Keyword(s):  
Smart Cities ◽  
Assessment System ◽  
Assessment Model ◽  
City Street ◽  
Model Research ◽  
Mobile Stations ◽  
The Status ◽  
City Network ◽  
Multi Level ◽  
The City

Advancements in mobile, cloud computing and other techniques have made the world even smaller and connected like never before. It has become a challenge and an opportunity for cities to leverage these growing technologies to solve real city administration problems. Cities are in the transformation to become state-of-the-art smart cities using these technologies. This paper is about the automation of street cleanliness assessment in near real-time. It answers the question of how can we assess the status of streets in a more efficient and effective way. To address the problem, this paper proposes a multi-level assessment system on how the cleanliness status of streets is collected using mobile stations. They are connected via city network, analyzed in the cloud and presented to city administrators online or on mobile. The real case studies show the usability and feasibility of our system. This also gives opportunities for city residents to participate and contribute to making the city a better place.

scholarly journals Mobile information system for monitoring the spread of viruses in smart cities

2020 ◽  
Vol 8 ◽  
pp. 65-70
Author(s):  
Oleksii Duda ◽  
◽  
Liliana Dzhydzhora ◽  
Oleksandr Matsiuk ◽  
Andrii Stanko ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Viral Disease ◽  
Viral Diseases ◽  
Treatment Protocols ◽  
Emergency Situations ◽  
Treatment And Prevention ◽  
Multi Level

The concept of creating a multi-level mobile personalized system for fighting viral diseases, in particular Covid-19, was developed. Using the integration of the Internet of Things, Cloud Computing and Big Data technologies, the system involves a combination of two architectures: client-server and publication-subscription. The advantage of the system is the permanent help with viral diseases, namely on communication, information, and medical stages. The smart city concept in the context of viral disease control focuses on the application of Big Data analysis methods and the improvement of forecasting procedures and emergency treatment protocols. Using different technologies, cloud server stores the positioning data obtained from different devices, and the application accesses API to display and analyze the positioning data in real time. Due to the technologies combination, internal and external positioning can be used with a certain accuracy degree, being useful for various medical and emergency situations and analysis and the following processing by other smart city information systems. The result of the given investigation is the development of the conceptual model of multi-level mobile personalized health status monitoring system used for intellectual data analysis, prediction, treatment and prevention of viral diseases such as Covid-19 in modern “smart city”.

scholarly journals Multi-Level Resource Sharing Framework Using Collaborative Fog Environment for Smart Cities

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 21859-21869
Author(s):  
Tariq Qayyum ◽  
Zouheir Trabelsi ◽  
Asad Waqar Malik ◽  
Kadhim Hayawi
Keyword(s):  
Resource Sharing ◽  
Smart Cities ◽  
Multi Level

Verlaufsanalyse wöchentlicher Selbst- und Fremdeinschätzungen in der Langzeittherapie suchtkranker Jugendlicher

2019 ◽  
Vol 47 (2) ◽  
pp. 126-137
Author(s):  
Ferdinand Keller ◽  
Tatjana Stadnitski ◽  
Jakob Nützel ◽  
Renate Schepker
Keyword(s):  
Allen Vier ◽  
Multi Level

Zusammenfassung. Fragestellung: Über Veränderungen in der emotionalen Befindlichkeit von Jugendlichen während einer Suchttherapie ist wenig bekannt. Methode: Die Jugendlichen füllten wöchentlich einen entsprechenden Fragebogen aus, analog ihre Bezugsbetreuer eine parallelisierte Kurzfassung. Von 42 Jugendlichen liegen insgesamt 853 Bogen und von den Bezugsbetreuern 708 Bogen vor. Die Fragebogen wurden zunächst faktorenanalytisch hinsichtlich ihrer Dimensionalität ausgewertet, anschließend wurden gruppenbezogene Verlaufsanalysen (Multi-Level-Modelle) und Abhängigkeitsanalysen auf Einzelfallebene (Zeitreihenanalysen) durchgeführt. Ergebnisse: Im Jugendlichenfragebogen ergaben sich vier Faktoren: negative Befindlichkeit, Wertschätzung von Therapie/Betreuung, Motivation und Suchtdynamik. Die Übereinstimmung zwischen den Jugendlichen- und der (einfaktoriellen) Betreuereinschätzung fiel insgesamt niedrig bis mäßig aus, brachte aber auf Einzelfallebene differenziertere Ergebnisse. Im Verlauf nahmen die Werte auf allen vier Jugendlichenskalen ab. Einzig der Verlauf der Wertschätzung in der Eingewöhnungsphase war prädiktiv für den späteren Abbruch der Maßnahme: Bei den Abbrechern nahm die Wertschätzung ab, während sie bei den Beendern initial stieg. Schlussfolgerungen: Der bedeutsamste Faktor in Bezug auf die Therapiebeendigung suchtkranker Jugendlicher scheint die Wertschätzung von Therapie/Betreuung zu sein, während die Motivation jugendtypische Schwankungen aufweist. Der Suchtdynamik kam eine deutlich weniger bedeutende Rolle zu als allgemein angenommen. Programme in der Langzeittherapie sollten die Wertschätzung von Therapie/Betreuung künftig mehr fokussieren als die Suchtdynamik.

Sign in / Sign up

Export Citation Format

Share Document