scholarly journals Collaboration of Smart City Services with Appropriate Resource Management and Privacy Protection

2021 ◽  
Vol 3 (1) ◽  
pp. 43-51
Author(s):  
Subarna Shakya
Keyword(s):  
Smart City ◽  
Privacy Protection ◽  
Privacy Preservation ◽  
Simulation Analysis ◽  
Intelligent Transportation ◽  
Edge Computing ◽  
Processing Ability ◽  
The City ◽  
Collaborative Diagnosis ◽  
High Processing

Smart city is a quickly developing approach that is powered by Internet of Things (IoTs), providing a number of services such as collaborative diagnosis and intelligent transportation. In general, in a smart city, the terminals have certain limitations that crib their capability of processing cross application and diversified services. Due to insufficient availability of resources that can be used to develop a collaborative smart city services, a novel methodology that is highly recommended is edge computing which holds facility with high processing ability in the city terminals. However, the threat of privacy and safety of information in the collaborative services is crucial in order to ensure a safer environment of edge computing. To address this privacy issue, we have proposed an offloading method that can be used in smarty city to strengthen the privacy, promote edge utility and improve offloading efficiency. In order to establish balance between the collaborative service and privacy preservation, edge computing is integrated with information entropy. The performance is further verified using simulation analysis in appropriate environment.

The Research of Large-Diameter & Energy-Saving More Medium Supplied Gravity-Fed Three-Product Heavy Medium Cyclone

2011 ◽  
Vol 211-212 ◽  
pp. 1072-1076
Author(s):  
Ping Huo ◽  
Li Qiang Zhang ◽  
Jing Bo Jia
Keyword(s):  
Energy Saving ◽  
Separation Efficiency ◽  
Simulation Analysis ◽  
New Technology ◽  
Large Diameter ◽  
Economic Benefits ◽  
Heavy Medium ◽  
Processing Ability ◽  
The One ◽  
High Processing

The characteristics and the development restrict factors in large-diameter area of the traditional three-product heavy medium cyclone are described. The paper mainly describes the structure and principles of large-diameter & energy-saving more medium supplied gravity-fed three-product heavy medium cyclone. The simulation analysis of this cyclone (DWP type) is presented. The results show that this type of more medium supplied cyclone is better than the one medium supplied cyclone for it has a faster separation speed, high processing ability and better separation efficiency. The applications in field of the 3SNWX1500/1100-Ⅳ type cyclone which using the new technology indicated that there have energy-saving, a high output, a stable separation efficiency, a high precision and a significant economic benefits.

Data Privacy Protection for Edge Computing of Smart City in a DIKW Architecture

2019 ◽  
Vol 81 ◽  
pp. 323-335 ◽  
Author(s):  
Yucong Duan ◽  
Zhihui Lu ◽  
Zhangbing Zhou ◽  
Xiaobing Sun ◽  
Jie Wu
Keyword(s):  
Smart City ◽  
Privacy Protection ◽  
Data Privacy ◽  
Edge Computing ◽  
Data Privacy Protection

scholarly journals Edge Computing and IoT Analytics for Agile Optimization in Intelligent Transportation Systems

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6309
Author(s):  
Mohammad Peyman ◽  
Pedro J. Copado ◽  
Rafael D. Tordecilla ◽  
Leandro do C. Martins ◽  
Fatos Xhafa ◽  
...  
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Transportation Systems ◽  
Edge Computing ◽  
Analytical Models ◽  
Current Status ◽  
Ride Sharing ◽  
The City

With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens’ mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, data, and analytical models to describe the current status of the city traffic, to predict its evolution over the coming hours, and to make decisions that increase the efficiency of the transportation system. It involves many challenges such as how to deal and manage real and huge amounts of data, and improving security, privacy, scalability, reliability, and quality of services in the cloud and vehicular network. In this paper, we review the state of the art of IoT in intelligent transportation systems (ITS), identify challenges posed by cloud, fog, and edge computing in ITS, and develop a methodology based on agile optimization algorithms for solving a dynamic ride-sharing problem (DRSP) in the context of edge/fog computing.These algorithms allow us to process, in real time, the data gathered from IoT systems in order to optimize automatic decisions in the city transportation system, including: optimizing the vehicle routing, recommending customized transportation modes to the citizens, generating efficient ride-sharing and car-sharing strategies, create optimal charging station for electric vehicles and different services within urban and interurban areas. A numerical example considering a DRSP is provided, in which the potential of employing edge/fog computing, open data, and agile algorithms is illustrated.

Intelligent Research for Chinese Intelligent Urban Construction Problems and Solutions - Intelligent Traffic Forecast

2014 ◽  
Vol 951 ◽  
pp. 3-6 ◽  
Author(s):  
Yun Na Wu ◽  
Ru Hang Xu
Keyword(s):  
Smart City ◽  
Intelligent Transportation ◽  
City Management ◽  
Mapping Problem ◽  
Traffic Forecast ◽  
Urban Construction ◽  
Problems And Solutions ◽  
Complex Mapping ◽  
The City ◽  
The U.S

Smart city is a promising form for future city management. Intelligent transportation plays an important role in the smart city. Traffic forecast is an important way to realize intelligent traffic. This paper proposed a method to solve the complex mapping problem in traffic forecast based on BP artificial neural intelligence method. Data of the City of Alexandria in the U.S. is used to testify the feasibility of the method. The result shows that this method shows good performance in solving complex mapping problem.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

An Edge-Computing Based Task-Unloading Technique with Privacy Protection for Internet of Connected Vehicles

2021 ◽  
Author(s):  
Hasnain Ali Almashhadani ◽  
Xiaoheng Deng ◽  
Suhaib Najeh Abdul Latif ◽  
Mohammed Mohsin Ibrahim ◽  
Ali Hussien Alshammari
Keyword(s):  
Privacy Protection ◽  
Edge Computing ◽  
Connected Vehicles

scholarly journals Disaster Management in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 819-839
Author(s):  
Luís B. Elvas ◽  
Bruno Miguel Mataloto ◽  
Ana Lúcia Martins ◽  
João C. Ferreira
Keyword(s):  
Disaster Management ◽  
Smart City ◽  
Smart Cities ◽  
Practical Implication ◽  
Data Availability ◽  
Critical Infrastructures ◽  
Cascading Effects ◽  
Data Driven Approach ◽  
New Research ◽  
The City

The smart city concept, in which data from different systems are available, contains a multitude of critical infrastructures. This data availability opens new research opportunities in the study of the interdependency between those critical infrastructures and cascading effects solutions and focuses on the smart city as a network of critical infrastructures. This paper proposes an integrated resilience system linking interconnected critical infrastructures in a smart city to improve disaster resilience. A data-driven approach is considered, using artificial intelligence and methods to minimize cascading effects and the destruction of failing critical infrastructures and their components (at a city level). The proposed approach allows rapid recovery of infrastructures’ service performance levels after disasters while keeping the coverage of the assessment of risks, prevention, detection, response, and mitigation of consequences. The proposed approach has the originality and the practical implication of providing a decision support system that handles the infrastructures that will support the city disaster management system—make the city prepare, adapt, absorb, respond, and recover from disasters by taking advantage of the interconnections between its various critical infrastructures to increase the overall resilience capacity. The city of Lisbon (Portugal) is used as a case to show the practical application of the approach.

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