scholarly journals Triangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 250
Author(s):  
Mina Farmanbar ◽  
Chunming Rong
Keyword(s):  
Real Time ◽  
Smart City ◽  
Service Providers ◽  
Smart Cities ◽  
Large Data ◽  
Software Systems ◽  
Efficient Manner ◽  
The Sustainable Development ◽  
Challenges And Opportunities ◽  
Online Analysis Processing

Cities are becoming smarter by incorporating hardware technology, software systems, and network infrastructure that provide Information Technology (IT) systems with real-time awareness of the real world. What makes a “smart city” functional is the combined use of advanced infrastructure technologies to deliver its core services to the public in a remarkably efficient manner. City dashboards have drawn increasing interest from both city operators and citizens. Dashboards can gather, visualize, analyze, and inform regional performance to support the sustainable development of smart cities. They provide useful tools for evaluating and facilitating urban infrastructure components and services. This work proposes an interactive web-based data visualization and data analytics toolkit supported by big data aggregation tools. The system proposed is a cloud-based prototype that supports visualization and real-time monitoring of city trends while processing and displaying large data sets on a standard web browser. However, it is capable of supporting online analysis processing by answering analytical queries and producing graphics from multiple resources. The aim of this platform is to improve communication between users and urban service providers and to give citizens an overall view of the city’s state. The conceptual framework and architecture of the proposed platform are explored, highlighting design challenges and providing insight into the development of smart cities. Moreover, results and the potential statistical analysis of important city services offered by the system are introduced. Finally, we present some challenges and opportunities identified through the development of the city data platform.

Cloud-Based Big Data Analysis Tools and Techniques Towards Sustainable Smart City Services

2021 ◽  
pp. 63-90
Author(s):  
Suresh P. ◽  
Keerthika P. ◽  
Sathiyamoorthi V. ◽  
Logeswaran K. ◽  
Manjula Devi R. ◽  
...  
Keyword(s):  
Big Data ◽  
Real Time ◽  
Smart City ◽  
Traffic Management ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Streaming Data ◽  
City Development ◽  
Time Data ◽  
Public And Private

Cloud computing and big data analytics are the key parts of smart city development that can create reliable, secure, healthier, more informed communities while producing tremendous data to the public and private sectors. Since the various sectors of smart cities generate enormous amounts of streaming data from sensors and other devices, storing and analyzing this huge real-time data typically entail significant computing capacity. Most smart city solutions use a combination of core technologies such as computing, storage, databases, data warehouses, and advanced technologies such as analytics on big data, real-time streaming data, artificial intelligence, machine learning, and the internet of things (IoT). This chapter presents a theoretical and experimental perspective on the smart city services such as smart healthcare, water management, education, transportation and traffic management, and smart grid that are offered using big data management and cloud-based analytics services.

The frontier of digital opportunity: Smart city implementation in small, rural and remote communities in Canada

Urban Studies ◽  
2019 ◽  
pp. 004209801986366
Author(s):  
Zachary Spicer ◽  
Nicole Goodman ◽  
Nathan Olmstead
Keyword(s):  
Rural Communities ◽  
Smart City ◽  
Policy Development ◽  
Smart Cities ◽  
City Development ◽  
Rural And Remote ◽  
Remote Communities ◽  
Digital Divides ◽  
Challenges And Opportunities ◽  
Private And Public

Studies of ‘smart cities’ in Canada primarily focus on large cities but not small, rural and remote communities. As a result, we have a limited understanding of the incentive structures for smaller, remote and rural communities to pursue smart city development. This knowledge deficit is concerning, since the introduction of technology can hold a number of unique benefits for these communities, including easier connections to the rest of Canada and large urban centres, reputation building, improved service delivery and enhanced opportunities for residents. Drawing upon localised forms of knowledge creation, policy development theories, adoption and local competition literature and primary interviews with private and public officials, we examine the challenges and opportunities of ‘smart city’ implementation through case studies of small and rural municipalities in Annapolis Valley in Nova Scotia and a remote community, Iqaluit, Nunavut. We find that collaboration is essential for rural and remote pursuit of smart city development and is necessary to counteract the limitations of capacity, scale and digital divides. Challenges aside, however, the primary rationale for adoption of smart city technology remains the same regardless of size: enhanced quality of life for residents and sustained community health.

scholarly journals Collaboration of Drone and Internet of Public Safety Things in Smart Cities: An Overview of QoS and Network Performance Optimization

Drones ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 13 ◽  
Author(s):  
Saeed Alsamhi ◽  
Ou Ma ◽  
M. Ansari ◽  
Sachin Gupta
Keyword(s):  
Wireless Communication ◽  
Real Time ◽  
Performance Optimization ◽  
Public Safety ◽  
Network Performance ◽  
Smart Cities ◽  
Vital Role ◽  
Efficient Manner ◽  
Safety Requirements ◽  
Critical Facilities

This paper studies the network performance of collaboration between the Internet of public safety things (IoPST) and drones. Drones play a vital role in delivering timely and essential wireless communication services for the recovery of services right after a disaster by increasing surge capacity for the purposes of public safety, exploring areas that are difficult to reach, and providing an area of rapid coverage and connectivity. To provide such critical facilities in the case of disasters and for the purposes of public safety, collaboration between drones and IoPST is able to support public safety requirements such as real-time analytics, real-time monitoring, and enhanced decision-making to help smart cities meet their public safety requirements. Therefore, the deployment of drone-based wireless communication can save people and ecosystems by helping public safety organizations face threats and manage crises in an efficient manner. The contribution of this work lies in improving the level of public safety in smart cities through collaborating between smart wearable devices and drone technology. Thus, the collaboration between drones and IoPST devices establishes a public safety network that shows satisfying results in terms of enhancing efficiency and information accuracy.

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.

Desain Banyumas Smart City Berbasis Internet of Things (IoT) Menggunakan Fog Computing Architecture

2020 ◽  
Vol 1 (1) ◽  
pp. 7-13
Author(s):  
Bayu Prastyo ◽  
Faiz Syaikhoni Aziz ◽  
Wahyu Pribadi ◽  
A.N. Afandi
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Communication Technology ◽  
Smart City ◽  
Communication Systems ◽  
Intelligent System ◽  
Smart Cities ◽  
Fog Computing ◽  
The Internet ◽  
Traffic Lights

Internet use in Banyumas Regency is now increasingly diverse according to the demands of the needs. The development of communication technology raises various aspects that also develop. For example, the use of the internet for a traffic light control system so that it can be adjusted according to the settings and can be monitored in real time. In the development of communication technology, the term Internet of Things (IoT) emerged as the concept of extending the benefits of internet communication systems to give impulses to other systems. In other words, IoT is used as a communication for remote control and monitoring by utilizing an internet connection. The Internet of Things in the era is now being developed to create an intelligent system for the purposes of controlling various public needs until the concept of the smart city emerges. Basically, smart cities utilize internet connections for many purposes such as controlling CCTV, traffic lights, controlling arm robots in the industry and storing data in hospitals. If the system is carried out directly from the device to the central server, there will be a very long queue of data while the system created requires speed and accuracy of time so that a system is needed that allows sufficient data control and processing to be carried out on network edge users. Then fog Computing is used with the hope that the smart city system can work with small latency values ​​so that the system is more real-time in sending or receiving data.

scholarly journals Smart City as a Model for Sustainable Development of Territories

2021 ◽  
Vol 110 ◽  
pp. 05003
Author(s):  
Konstantin Semyachkov
Keyword(s):  
Sustainable Development ◽  
Urban Environment ◽  
Smart City ◽  
Large Scale ◽  
Smart Cities ◽  
Digital Technologies ◽  
Economic Systems ◽  
The Sustainable Development ◽  
City Model ◽  
The Impact

The article examines the impact of digital technologies on the sustainable development of ecological and economic systems. The main aspects that make the development of digital technologies especially relevant for environmental modernization and sustainable development are analyzed. It is shown that the large-scale use of digital technologies contributes to the development of new tools, models and methods of urban management. One of the promising areas for the development of the urban environment in these conditions is the concept of a smart city. Based on the analysis of research on the topic of smart cities, the effects of the use of the smart city model for the formation of the foundations of sustainable development of territories are noted.

scholarly journals Desain Banyumas Smart City Berbasis Internet of Things (IoT) Menggunakan Fog Computing Architecture

2020 ◽  
Vol 1 (2) ◽  
pp. 6-13
Author(s):  
Bayu Prastyo ◽  
Faiz Syaikhoni Aziz ◽  
Wahyu Pribadi ◽  
A.N. Afandi
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Communication Technology ◽  
Smart City ◽  
Communication Systems ◽  
Intelligent System ◽  
Smart Cities ◽  
Fog Computing ◽  
The Internet ◽  
Traffic Lights

Internet use in Banyumas Regency is now increasingly diverse according to the demands of the needs. The development of communication technology raises various aspects that also develop. For example, the use of the internet for a traffic light control system so that it can be adjusted according to the settings and can be monitored in real time. In the development of communication technology, the term Internet of Things (IoT) emerged as the concept of extending the benefits of internet communication systems to give impulses to other systems. In other words, IoT is used as a communication for remote control and monitoring by utilizing an internet connection. The Internet of Things in the era is now being developed to create an intelligent system for the purposes of controlling various public needs until the concept of the smart city emerges. Basically, smart cities utilize internet connections for many purposes such as controlling CCTV, traffic lights, controlling arm robots in the industry and storing data in hospitals. If the system is carried out directly from the device to the central server, there will be a very long queue of data while the system created requires speed and accuracy of time so that a system is needed that allows sufficient data control and processing to be carried out on network edge users. Then fog Computing is used with the hope that the smart city system can work with small latency values ​​so that the system is more real-time in sending or receiving data

scholarly journals To Optimize Network Call Drops and Enhances Real Time (CDR) Data Handling with Security

2020 ◽  
Author(s):  
Ashok G V ◽  
Dr.Vasanthi Kumari P
Keyword(s):  
Real Time ◽  
Service Providers ◽  
Large Data ◽  
Network Capacity ◽  
Data Set ◽  
Satisfaction Index ◽  
Customer Churn ◽  
Trend Forecasting ◽  
Telecom Networks

The telecom networks generate multitudes and large sets of data related to networks, applications, users, network operations and real time call processing (Call Detail Record (CDR)). This large data set has the capability to give valuable business insights - for example, real-time user quality of service, network issues, call drop issues, customer satisfaction index, customer churn, network capacity forecast and many more revenue impacting insights. As even setting up of more towers for better coverage would also directly affect the health of habitants around. In this paper, the overall condition of call drops has been reviewed and possible ways to minimize the spectacles of network call drops. Applied Linear Regression algorithm which is used type of predictive analysis. Three major uses for regression analysis Determining the strength of predictors, Forecasting an effect and Trend forecasting. This paper gives to telecom service providers to improve their networks and minimize the network call drops with security. Deliver quality of services to their subscribers using the advanced technologies with accurate algorithms.

scholarly journals Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2994 ◽  
Author(s):  
Bhagya Silva ◽  
Murad Khan ◽  
Changsu Jung ◽  
Jihun Seo ◽  
Diyan Muhammad ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Smart City ◽  
Data Analytics ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Time Data ◽  
Real Time Data

The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data analytics (BDA)-embedded experimental architecture for smart cities. Two major aspects are served by the BDA-embedded smart city. Firstly, it facilitates exploitation of urban Big Data (UBD) in planning, designing, and maintaining smart cities. Secondly, it occupies BDA to manage and process voluminous UBD to enhance the quality of urban services. Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. Moreover, offline and online data processing tasks are further expedited by integrating data normalizing and data filtering techniques to the proposed work. By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. Performance metrics in terms of online and offline data processing for the proposed dual-node Hadoop cluster is obtained using aforementioned authentic datasets. Throughput and processing time analysis performed with regard to existing works guarantee the performance superiority of the proposed work. Hence, we can claim the applicability and reliability of implementing proposed BDA-embedded smart city architecture in the real world.

scholarly journals Role and Importance of IoT in the Smart City and E-Governance

2017 ◽  
Author(s):  
MUHAMMAD SAQIB ◽  
Nadia Al-Muqrashi
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Service Providers ◽  
Smart Cities ◽  
The Internet ◽  
Smart Cameras ◽  
The Government ◽  
Relationship Of ◽  
The Relationship ◽  
The Internet Of Things

In the recent years, developments growth have been rising in utilizing of recent technologies; Smart cities have been furnished with various electronic devices concentrated on the Internet of Things (IoT) to be more smarter than before. The Internet of Things is empowered by various emerging technologies such as smart cameras, sensors, wireless communication devices etc. Smart cities are huge systems connected with countless sub-systems, and these systems are depending on the electricity to move the human, things, and data to share information. Without electric power and Internet of Things, the smart city cannot be achieved and services cannot be provided. This paper aims to provide a comprehensive concept of IoT, the smart city as well as the relationship of Smart Cities to IoT. Moreover, an extensive review of the relationship of IoT to the smart city discussed with few instances of services provided by the government using IoT technologies for the citizens. Therefore the objects and applications which come under the IoT technology that can be used to meet the objective of having a smart city. In this paper, a thorough literature on the concept of IoT with Smart City and a brief comparison of it in terms of services, challenges, and issues are discussed. Also the discussion on the issues faced by service providers with regards to technologies used to equip the citizens with up to date services.

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