scholarly journals Prediction of Satellite Shadowing in Smart Cities with Application to IoT

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 475 ◽  
Author(s):  
Susana Hornillo-Mellado ◽  
Rubén Martín-Clemente ◽  
Vicente Baena-Lecuyer
Keyword(s):  
Experimental Data ◽  
Internet Of Things ◽  
Urban Area ◽  
High Power ◽  
Urban Areas ◽  
Planning Process ◽  
Graphical Method ◽  
Smart Cities ◽  
Network Planning ◽  
Power Losses

The combination of satellite direct reception and terrestrial 5G infrastructure is essential to guarantee coverage in satellite based-Internet of Things, mainly in smart cities where buildings can cause high power losses. In this paper, we propose an accurate and fast graphical method for predicting the satellite coverage in urban areas and SatCom on-the-move scenarios. The aim is to provide information that could be useful in the IoT network planning process, e.g., in the decision of how many terrestrial repeaters are really needed and where they should be placed. Experiments show that the shadowed areas predicted by the method correspond almost perfectly with experimental data measured from an Eutelsat satellite in the urban area of Barcelona.

scholarly journals Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2308 ◽  
Author(s):  
Can Bıyık
Keyword(s):  
Urban Areas ◽  
Planning Process ◽  
Smart Cities ◽  
Radical Change ◽  
Urban Transport ◽  
Transport Systems ◽  
Structured Interviews ◽  
Policy Makers ◽  
Comprehensive Survey ◽  
Future Vision

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

scholarly journals Smart cities IOT & Digital network connectivity devices: Optimization on business in Africa

2021 ◽  
pp. 064-071
Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe
Keyword(s):  
Internet Of Things ◽  
Urban Communities ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
The Internet ◽  
City Development ◽  
Short Article ◽  
The Internet Of Things

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.

Stacking Regression Algorithms to Predict PM2.5 in the Smart City Using Internet of Things

2020 ◽  
Vol 13 ◽  
Author(s):  
Alisha Banga ◽  
Ravinder Ahuja ◽  
Subhash Chander Sharma
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Urban Areas ◽  
Smart Cities ◽  
Absolute Error ◽  
Dew Point ◽  
Beijing City ◽  
Data Set ◽  
Regression Algorithms ◽  
Ensemble Algorithms

Background and Objective: With the increase in populations in urban areas, there is an increase in pollution also. Air pollution is one of the challenging environmental issues in smart cities. Real-time monitoring of air quality can help the administration to take appropriate decisions on time. Development in the Internet of Things based sensors has changed the way to monitor air quality. Methods: In this paper, we have applied two-stage regressions. In the first stage, ten regression algorithms (Decision Tree, Random Forest, Elastic Net, Adaboost, Extra Tree, Linear Regression, Lasso, XGBoost, Light GBM, AdaBoost, and Multi-Layer Perceptron) is applied and in second stage best four algorithms are picked and stacking ensemble algorithms is applied using python to predict the PM2.5 pollutants in air. Data set of five Chinese cities (Beijing, Chengdu, Guangzhou, Shanghai, and Shenyang) has taken into consideration and compared based on MAE (Mean Absolute Error), RMSE (Root Mean Square Error), and R2 parameters. Results and Conclusion: We observed that out of ten regression algorithms applied extra tree algorithm is giving the highest performance on all the five datasets, and stacking further improves the performance. Feature importance for Sheyang, and Beijing city is computed using three regression algorithms, and we found the four most important features are Humidity, wind speed, wind direction, and dew point.

Techno-managerial implications towards communication in internet of things for smart cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avinash Pawar ◽  
Ashutosh Kolte ◽  
Balkrishan Sangvikar
Keyword(s):  
Internet Of Things ◽  
Urban Areas ◽  
Design Methodology ◽  
Smart Cities ◽  
The Internet ◽  
The Novel ◽  
Content Type ◽  
The People ◽  
Managerial Implications ◽  
The Internet Of Things

Purpose The purpose of this paper is to explore the significance of the internet of things (IoT) system for smart cities and deliberate on the technological aspects involved in developing smart cities along with the framework, impact and benefits of IoT for smart cities. Design/methodology/approach This research is based on the review and synthesis of the papers on the broader areas of IoT for the application and implication towards the smart cities. The prime focus of this paper is to realize the IoT systems for smart city’s development and implementation of various technologies in the context of the Indian environment. Findings The outcome of the paper explores the highlights of the importance of the IoT system, including the technological framework, impact and benefits for smart cities. The outcome also highlights the application of IoT for smart cities. This paper provides direction regarding future degrees, potential conceivable outcomes and issues concerning the technological side of smart cities. IoT can change the lives of the people and support evolving urban areas for developing smart cities in India. Originality/value The paper deliberates on the novel techno-managerial approach towards the endeavour of smart cities using the IoT.

A stochastic multi-agent system for Internet of Things-enabled waste management in smart cities

2018 ◽  
Vol 36 (11) ◽  
pp. 1113-1121 ◽  
Author(s):  
Theodoros Anagnostopoulos ◽  
Arkady Zaslavsky ◽  
Inna Sosunova ◽  
Petr Fedchenkov ◽  
Alexey Medvedev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Waste Management ◽  
Urban Areas ◽  
Dynamic Scheduling ◽  
Smart Cities ◽  
Multi Agent System ◽  
Sensors And Actuators ◽  
Agent System ◽  
Four Seasons ◽  
Multi Agent

The population of the Earth is moving towards urban areas forming smart cities (SCs). Waste management is a component of SCs. We consider a SC which contains a distribution of waste bins and a distribution of waste trucks located in the SC sectors. Bins and trucks are enabled with Internet of Things (IoT) sensors and actuators. Prior approaches focus mainly on the dynamic scheduling and routing issues emerging from IoT-enabled waste management. However, less research has been done in the area of the stochastic reassignment process during the four seasons of the year over a period of two years. In this paper we aim to stochastically reassign trucks to collect waste from bins through time. We treat this problem with a multi-agent system for stochastic analyses.

scholarly journals Towards Positive Energy Districts in Smart Cities: A Data-Driven Approach Using Aggregation and Disaggregation of Energy Balance Calculations

2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Selma Čaušević ◽  
George B. Huitema ◽  
Arun Subramanian ◽  
Coen van Leeuwen ◽  
Mente Konsman
Keyword(s):  
Energy Balance ◽  
Urban Area ◽  
Urban Areas ◽  
Energy Demand ◽  
Service Sector ◽  
Smart Cities ◽  
Energy Transition ◽  
Positive Energy ◽  
Modeling Approach ◽  
Energy Demands

Positive energy districts (PEDs) are seen as a promising pathway to facilitating energy transition. PEDs are urban areas composed of different buildings and public spaces with local energy production, where the total annual energy balance must be positive. Urban areas consist of a mix of different buildings, such as households and service sector consumers (offices, restaurants, shops, cafes, supermarkets), which have a different annual energy demand and production, as well as a different consumption profile. This paper presents a data modeling approach to estimating the annual energy balance of different types of consumer categories in urban areas and proposes a methodology to extrapolate energy demands from specific building types to the aggregated level of an urban area and vice versa. By dividing an urban area into clusters of different consumer categories, depending on parameters such as surface area, building type and energy interventions, energy demands are estimated. The presented modeling approach is used to model and calculate the energy balance and CO2 emissions in two PED areas of the City of Groningen (The Netherlands) proposed in the Smart City H2020 MAKING CITY project.

scholarly journals Marketing of Cities as Centres of Socio-Economic Development in the Process of Globalisation

2021 ◽  
Vol 12 (4) ◽  
pp. 146
Author(s):  
Sergeys Ignatyevs ◽  
Sergey A. Makushkin ◽  
Sergiy Spivakovskyy
Keyword(s):  
Sustainable Development ◽  
Public Administration ◽  
Urban Area ◽  
Urban Areas ◽  
Smart Cities ◽  
Practical Significance ◽  
Investment Funds ◽  
Integrated Method ◽  
Cultural Aspects ◽  
Marketing Tool

Modern trends in the formation of urban development are based primarily on the extent to which the territory of a city can be attractive for investors, interested people in general and public administration systems. When regarding programs for the development of urban areas in the structure of sustainable development, it is necessary to highlight the methods of forming an attractive image of a city, which is considered a marketing tool. Understanding the possibilities for the development of an urban area requires the formation of tools for spatial marketing and opportunities for the establishment of measures for the development of individual tools of communication between city authorities and the external environment. The novelty of the research is determined by the structural feature of the formation of an integrated method of using marketing tools to promote the image of a city in the informational, social, and cultural aspects. The authors show the tools for implementing the marketing strategy of the urban area as elements of sustainable development. Stakeholders of sustainable development are shown not only local management structures but also global investment funds and transnational corporations. The practical significance of the study is determined by the possibility of forming based on an urban area, which is marked by the presence of sustainable development markers, innovative and science-intensive centres, and analytical corporations. The formation of development centres is also possible through the creation of smart cities.

scholarly journals Concept of implementing Big data in smart city: Applications, Services, Data Security in accordance with Internet of Things and AI

2019 ◽  
Vol 8 (3) ◽  
pp. 6819-6825
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
San Francisco ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Point Of View ◽  
Data Sets ◽  
Cloud Applications ◽  
The Internet Of Things

Smart cities are the current buzz phrase between infrastructure developments. With a gradually increasing inflow on populations into cities then a continuously thriving necessity to better deal with resources, countless cities kind of San Francisco, united states, Singapore, Portugal, England is experimenting together with upcoming state-of-the-art technologies after fulfill their cities smarter. Among these current trending technologies is the Internet of Things (IoT), Big Data and Artificial Intelligence (AI) which has revolutionized the way we analyze patterns yet traits between human behaviors. With Big Data, current fragmented and remoted data sets do stand well-acquainted beside an overarching point of view in accordance with provide high quality solutions in accordance with frequent issues up to expectation have an effect on rapidly growing cities today. Here are 5 ways within which Big Data could show fundamental in smart cities about the future. A lot of governments are thinking about adopting the smart city thought between theirs urban areas at that point executing impressive records services up to expectation assist smart city components in accordance with attain the required stage concerning supportability and improve the living norms. Smart cities take advantage of more than one technology in conformity with get better the concert about healthiness, transportation, power, education, and cloud applications lead after greater stages about remedy about their citizens. In addition, it attempts in accordance with pick out the necessities as assist the implementation on substantial data purposes for smart city services. The criticism displays as numerous possibilities are accessible because of making use of big data in smart cities; conversely, so are nevertheless various concerns and disputes in conformity with stay addressed to attain higher utilization about this technology.

Spatial Autocorrelation in the Study of Neighbourhoods towards Smart Cities: Empirical Evidence from Kerman, Iran

2012 ◽  
Vol 9 (2) ◽  
pp. 1
Author(s):  
Asra Hosseini
Keyword(s):  
Spatial Autocorrelation ◽  
Urban Areas ◽  
Smart Cities ◽  
Moran’S I ◽  
Moran's I ◽  
Urban Planner ◽  
Universal Feature ◽  
Autocorrelation Method ◽  
Selection Of

From earliest cities to the present, spatial division into residential zones and neighbourhoods is the universal feature of urban areas. This study explored issue of measuring neighbourhoods through spatial autocorrelation method based on Moran's I index in respect of achieving to best neighbourhoods' model for forming cities smarter. The research carried out by selection of 35 neighbourhoods only within central part of traditional city of Kerman in Iran. The results illustrate, 75% of neighbourhoods' area in the inner city of Kerman had clustered pattern, and it shows reduction in Moran's index is associated with disproportional distribution of density and increasing in Moran's I and Z-score have monotonic relation with more dense areas and clustered pattern. It may be more efficient for urban planner to focus on spatial autocorrelation to foster neighbourhood cohesion rather than emphasis on suburban area. It is recommended characteristics of historic neighbourhoods can be successfully linked to redevelopment plans toward making city smarter, and also people's quality of life can be related to the way that neighbourhoods' patterns are defined. 

Everything of Internet of Things and Smart Cities Applications

2017 ◽  
Author(s):  
Mazin S. Al-Hakeem ◽  
Alaa H.Al-Hamami
Keyword(s):  
Internet Of Things ◽  
Smart Cities
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