A Study on Linking Method of IoT Platform and Integrated Smart City Platform - Based on the Case Study of IoT-based Smart Environment Monitoring Service Construction in Gangseo-gu, Busan -

The new Internet of Things/Everything (IoT/IoE) paradigm and architecture allows one to rethink the way Smart City infrastructures are designed and managed, but on the other hand, a number of problems have to be solved. In terms of mobility the cities that embrace the sensoring era can take advantage of this disruptive technology to improve the quality of life of their citizens, also thanks to the rationalization in the use of their resources. In Sii-Mobility, a national smart city project on mobility and transportation, a flexible platform has been designed and here, in this paper, is presented. It permits one to set up heterogeneous and complex scenarios that integrate sensors/actuators as IoT/IoE in an overall Big Data, Machine Learning and Data Analytics scenario. A detailed and complex case-study has been presented to validate the solution in the context of a system that dynamically reverse the traveling direction of a road segment, with all the safety conditions in place. This case study composes several building blocks of the IoT platform, which demonstrate that a flexible and dynamic set-up is possible, supporting security, safety, local, cloud and mixed solutions.

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A Novel Smart City using IoT and Open Source Technology

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f8912.088619 ◽

2019 ◽

Vol 8 (6) ◽

pp. 4633-4637

Keyword(s):

Open Source ◽

Smart City ◽

Smart Home ◽

Smart Cities ◽

Home Automation ◽

Smart Environment ◽

Environment Monitoring ◽

The People ◽

Smart Parking ◽

Smart Agriculture

Through IoT the cities are envisioned into smart cities. The IoT technology is deployed essentially in prevalence of all the applications and is playing a compelling role in day to day liveliness. The Smart cities integrated with the IoT technology can intensify to unravel the contention of the people. The considerable issues in the cities such as smart home automation, smart parking, smart agriculture, smart street lights and smart environment monitoring are addressed in this article. The smart city is refined with the open source technology. The information accumulated from peculiar devices and sensors is received to the Thing speak server and the representatives will visualize the data and engage in required action to take place. The prime aspiration of this article is to emphasize the obstacles in the smart cities. The features of the smart city are enhanced and give a provision to utilize IoT technology

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Sii-Mobility: an IOT/IOE Architecture to Enhance Smart City Services of Mobility and Transportation

10.20944/preprints201810.0688.v1 ◽

2018 ◽

Author(s):

Paolo Nesi ◽

Cladio Badii ◽

Angelo Difino

Keyword(s):

Smart City ◽

Data Analytics ◽

Building Blocks ◽

Complex Case ◽

Disruptive Technology ◽

Grid Security ◽

Iot Platform ◽

Set Up

The new IoT/IoE (internet of things/everythings) paradigm and architecture permits to rethink about the way the Smart City infrastructures are designed and managed, on the other hand a number of problems have to be solved. In terms of mobility the cities that embrace the sensoring era can take advantage of this disruptive technology to improve the quality of life of their citizen, also thanks the rationalization in the use of their resources. In Sii-Mobility, a national smart city project on mobility and transportation, a flexible platform has been designed and here, in this paper, is presented. It permits to setup heterogeneous and complex scenarios that integrate sensors/actuators as IoT/IoE in an overall scenario of Big Data, Machine Learning and Data Analytics. A detailed and complex case-study has been presented to validate the solution in the context of a system that dynamically reverse the traveling direction of a road segment, with all the safety conditions in place. This case study composes several building blocks of the IoT platform, which demonstrate that a flexible and dynamic set-up is possible, supporting off-grid, security, safety, cloud and mixed solutions.

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SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

Light & Engineering ◽

10.33383/2018-007 ◽

2018 ◽

pp. 60-67

Author(s):

Henrika Pihlajaniemi ◽

Anna Luusua ◽

Eveliina Juntunen

Keyword(s):

Case Studies ◽

Smart City ◽

Smart Cities ◽

Well Being ◽

Evaluation Methods ◽

Data Analyses ◽

Sense Of Security ◽

System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

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Analysis of the System of Controlling Paid Parking Zones

Sustainability ◽

10.3390/su13084211 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4211

Author(s):

Maciej Kozłowski ◽

Andrzej Czerepicki ◽

Piotr Jaskowski ◽

Kamil Aniszewski

Keyword(s):

Control System ◽

Smart City ◽

Measurement Errors ◽

Fundamental Problem ◽

Urban Traffic ◽

Statistical Dependence ◽

Actual State ◽

Event Time ◽

Operational Data

Urban traffic can be curbed in various ways, for instance, by introducing paid unguarded parking zones (PUPZ). The operational functionality of this system depends on whether or not the various system features used to document parking cases function properly, including those which enable positioning of vehicles parked in the PUPZ, recognition of plate numbers, event time recording, and the correct anonymisation of persons and other vehicles. The most fundamental problem of this system is its reliability, understood as the conformity of control results with the actual state of matters. This characteristic can be studied empirically, and this article addresses the methodology proposed for such an examination, discussed against a case study. The authors have analysed the statistical dependence of the e-control system’s measurement errors based on operational data. The results of this analysis confirm the rationale behind the deployment of the e-control system under the implementation of the smart city concept in Warsaw.

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Challenges and Barriers for Net‐Zero/Positive Energy Buildings and Districts—Empirical Evidence from the Smart City Project SPARCS

Buildings ◽

10.3390/buildings11020078 ◽

2021 ◽

Vol 11 (2) ◽

pp. 78

Author(s):

Daria Uspenskaia ◽

Karl Specht ◽

Hendrik Kondziella ◽

Thomas Bruckner

Keyword(s):

Smart City ◽

Urban Areas ◽

Smart Cities ◽

Scale Up ◽

Practical Experience ◽

Positive Energy ◽

Low Carbon ◽

Net Zero ◽

Multidimensional Representation

Without decarbonizing cities energy and climate objectives cannot be achieved as cities account for approximately two thirds of energy consumption and emissions. This goal of decarbonizing cities has to be facilitated by promoting net-zero/positive energy buildings and districts and replicating them, driving cities towards sustainability goals. Many projects in smart cities demonstrate novel and groundbreaking low-carbon solutions in demonstration and lighthouse projects. However, as the historical, geographic, political, social and economic context of urban areas vary greatly, it is not always easy to repeat the solution in another city or even district. It is therefore important to look for the opportunities to scale up or repeat successful pilots. The purpose of this paper is to explore common trends in technologies and replication strategies for positive energy buildings or districts in smart city projects, based on the practical experience from a case study in Leipzig—one of the lighthouse cities in the project SPARCS. One of the key findings the paper has proven is the necessity of a profound replication modelling to deepen the understanding of upscaling processes. Three models analyzed in this article are able to provide a multidimensional representation of the solution to be replicated.

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Spatiotemporal Variability and Trends of Marine Heat Waves in the Red Sea over 38 Years

Journal of Marine Science and Engineering ◽

10.3390/jmse9080842 ◽

2021 ◽

Vol 9 (8) ◽

pp. 842

Author(s):

Bayoumy Mohamed ◽

Hazem Nagy ◽

Omneya Ibrahim

Keyword(s):

Red Sea ◽

Heat Waves ◽

Sea Surface ◽

Spatiotemporal Variability ◽

Environment Monitoring ◽

Orthogonal Function ◽

Sst Variability ◽

Warming Rate ◽

Marine Environment Monitoring ◽

Monitoring Service

Marine heat waves (MHWs) can have catastrophic consequences for the socio-environmental system. Especially in the Red Sea, which has the world’s second longest coral reef system. Here, we investigate the sea surface temperature (SST) variability and trends, as well as the spatiotemporal characteristics of marine heat waves (MHWs) in the Red Sea, using high resolution daily gridded (1/20°) SST data obtained from the Copernicus Marine Environment Monitoring Service (CMEMS) for the period 1982–2019. Results show that the average warming rate was about 0.342 ± 0.047 °C/decade over the entire Red Sea over the whole study period. The Empirical Orthogonal Function (EOF) analysis reveals that the maximum variability is over the central part of the Red Sea, while the minimum variability is in the southernmost part of the Red Sea. Over the last two decades (2000–2019), we have discovered that the average MHW frequency and duration increased by 35% and 67%, respectively. The results illustrate that the MHW frequency and duration trends have increased by 1.17 counts/decade and 1.79 days/decade, respectively, over the study period. The highest annual MHW frequencies were detected in the years 2018, 2019, 2010, and 2017. A strong correlation (R = 0.89) was found between the annual MHW frequency and the annual mean SST.

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