Study and Analysis of Smart Applications in Smart City Context
01 Dec 2017-pp 225-228
TL;DR: This paper presents a detail review on different issues and applications of it in smart city implementation under a heterogeneous network condition such as cloud computing, wireless network and smart grid applications.
Abstract: Now a days, governments of different countries are considering implementing the smart city concept in their major cities in social, technical, economic, and political sectors by executing big data applications, thus offering opportunities for constant refinement of the concept of smart city. Smart cities utilize multiple technologies to improve the performance of health, transportation, energy, education, water services and waste management system to improve the living standards of their citizens. In transportation system, the city government needed better ways to monitor and manage local traffic to provide better transportation services to the public. The digital monitoring devices installed in the city's key checkpoints capture images and video data continuously. The increasing amount of traffic data now poses challenges in the city's ability to effectively manage traffic. One of the recent technologies that has a huge potential to address the challenge is big data analytics. Effective analysis and utilization of big data is a key factor for success in many business and service domains, including the smart city domain. This paper presents a detail review on different issues and applications of it in smart city implementation under a heterogeneous network condition such as cloud computing, wireless network and smart grid applications.
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01 Jul 2018
TL;DR: The current research article presents a comprehensive study and investigation on big data analytics and its application in multiple sectors of society with significance in health care applications.
Abstract: Currently, there is an expanding interest for additional medical data from patients about their healthcare choices and related decisions, and they further need investment in their basic health issues. Big data provides patients presumptuous data to help them settle on the best choice and align with their medicinal treatment plan. One of the very advanced concepts related to the synthesis of big data sets to reveal the hidden pattern in them is big data analytics. It involves demanding techniques to mine and extract relevant data that includes the actions of piercing a database, effectively mine the data, query and inspect the data and is committed to enhance the technical execution of various task segments. The capacity to synthesize a lot of data can enable an association to manage data that can influence the business. In this way, the primary goal of big data analytics is to help business relationships to have enhanced comprehension of data, and subsequently, settle on proficient and very much educated decisions. Big data analytics empowers data diggers and researchers to examine an extensive volume of data that may not be outfit utilizing customary apparatuses. Big data analytics require advances and statistical instruments that can change a lot of organized, unstructured, and semi-organized data into more reasonable data and metadata designed for explanatory procedures. There is tremendous positive potential concerning the application of big data in human health care services and many related major applications are still in their developmental stages. The deployment of big data in health service demonstrates enhancing health care results and controlling the expenses of common people due to treatment, as proven by some developing use cases. Keeping in view such powerful processing capacity of big data analytics in various technical fields of modern civilization related to health care, the current research article presents a comprehensive study and investigation on big data analytics and its application in multiple sectors of society with significance in health care applications.
7 citations
31 Jan 2021
TL;DR: In this paper, the authors identify the indicators that influence the process of developing a smart city in order to be able to help other cities to establish sustainable policies and work plans so that they can prepare themselves for smart cities consistently.
Abstract: Initially, A smart city was originally a solution used to deal with the environmental crisis that took place in the 20th century Smart city concepts derive from the use of technology and knowledge to enhance society's efficiency and competitiveness The indicators are needed that support the achievement of a smart city We will analyze the indicators that can impact the smart city achievement in this article The aim of this study is to identify the indicators that influence the process of developing a smart city in order to be able to help other cities to establish sustainable policies and work plans so that they can prepare themselves for a smart city consistently From the results of content analysis and descriptions of literature reviews, it is concluded that the indicators most used in the assessment of smart cities are divided into eight groups of indicators, including governance, economy, living, mobility, environment, people, branding, and demography
5 citations
Cites background from "Study and Analysis of Smart Applica..."
...1 Jally Sahoo; Mamata Rath 2017 Study and Analysis of Smart Applications in Smart City Context [13] Smart Living Smart Mobility...
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01 Jan 2019
TL;DR: This chapter addresses the vast majority of these dangers and their conceivable arrangements in cloud computing.
Abstract: Cloud computing is a developing zone of computing innovation that shapes the handling power and the computing assets of many associated, topographically separated PCs associated by means of internet. Cloud computing wipes out the need of having a total framework of equipment and programming to meet clients' prerequisites and applications. It very well may be thought of as a total or an incomplete outsourcing of equipment and programming assets. To get to cloud applications, a great internet association and a standard internet program are required. Cloud computing has its own particular downside from the security perspective; this chapter addresses the vast majority of these dangers and their conceivable arrangements. Cloud computing gives its client numerous abilities like getting to an expansive number of utilizations without the requirement for having a permit, acquiring, introducing, or downloading any of these applications.
4 citations
01 Jan 2016
TL;DR: In this article, a framework for visual big data analytics for automatic detection of bike-riders without helmet in city traffic is proposed, which involves processing and analyzing large scale visual data such as images or videos to find semantic patterns that are useful for interpretation.
Abstract: The application such as video surveillance for traffic control in smart cities needs to analyze the large amount (hours/days) of video footage in order to locate the people who are violating the traffic rules. The traditional computer vision techniques are unable to analyze such a huge amount of visual data generated in real-time. So, there is a need for visual big data analytics which involves processing and analyzing large scale visual data such as images or videos to find semantic patterns that are useful for interpretation. In this paper, we propose a framework for visual big data analytics for automatic detection of bike-riders without helmet in city traffic. We also discuss challenges involved in visual big data analytics for traffic control in a city scale surveillance data and explore opportunities for future research.
4 citations
01 Jan 2020
TL;DR: With faster expansion of mobile networks and quicker increment of web clients, more individuals approach worldwide data and communication innovation, because of which the issues of utilizing web as a worldwide stage and empowering the savvy protests and machines to coordinate, discuss, register, and ascertain slowly develops.
Abstract: With faster expansion of mobile networks and quicker increment of web clients, more individuals approach worldwide data and communication innovation, because of which the issues of utilizing web as a worldwide stage and empowering the savvy protests and machines to coordinate, discuss, register, and ascertain slowly develops. In mobile ad-hoc networks (MANETs) and vehicular ad-hoc networks (VANET), the mobile stations and vehicles are self-reconfigurable as per the difference in network topology. Joint action between convenient centers is more basic because of the way that they confront significant difficulties, for example, frailty to work securely while protecting its advantages and performing secure guiding among center points. In the presence of vindictive hubs, one of the rule challenges in MANET is to plot ground-breaking security course of action that can shield MANET from different routing assaults. Communiqué Issues in MANET and VANET Protocols With Network Security Disquiet
3 citations
References
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TL;DR: It is argued that Internet of Things (IoT) has the potential to provide a ubiquitous network of connected devices and smart sensors for SCC, and big data analytics has the Potential to enable the move from IoT to real-time control desired for S CC.
Abstract: This paper promotes the concept of smart and connected communities SCC, which is evolving from the concept of smart cities. SCC are envisioned to address synergistically the needs of remembering the past (preservation and revitalization), the needs of living in the present (livability), and the needs of planning for the future (attainability). Therefore, the vision of SCC is to improve livability, preservation, revitalization, and attainability of a community. The goal of building SCC for a community is to live in the present, plan for the future, and remember the past. We argue that Internet of Things (IoT) has the potential to provide a ubiquitous network of connected devices and smart sensors for SCC, and big data analytics has the potential to enable the move from IoT to real-time control desired for SCC. We highlight mobile crowdsensing and cyber-physical cloud computing as two most important IoT technologies in promoting SCC. As a case study, we present TreSight, which integrates IoT and big data analytics for smart tourism and sustainable cultural heritage in the city of Trento, Italy.
740 citations
"Study and Analysis of Smart Applica..." refers background in this paper
...[12] 2016 Building Smart and connected communities SCC for a community to live in the present, plan for the future, and remember the past....
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TL;DR: A hierarchical distributed Fog Computing architecture is introduced to support the integration of massive number of infrastructure components and services in future smart cities and demonstrates the feasibility of the system's city-wide implementation in the future.
Abstract: Data intensive analysis is the major challenge in smart cities because of the ubiquitous deployment of various kinds of sensors. The natural characteristic of geodistribution requires a new computing paradigm to offer location-awareness and latency-sensitive monitoring and intelligent control. Fog Computing that extends the computing to the edge of network, fits this need. In this paper, we introduce a hierarchical distributed Fog Computing architecture to support the integration of massive number of infrastructure components and services in future smart cities. To secure future communities, it is necessary to integrate intelligence in our Fog Computing architecture, e.g., to perform data representation and feature extraction, to identify anomalous and hazardous events, and to offer optimal responses and controls. We analyze case studies using a smart pipeline monitoring system based on fiber optic sensors and sequential learning algorithms to detect events threatening pipeline safety. A working prototype was constructed to experimentally evaluate event detection performance of the recognition of 12 distinct events. These experimental results demonstrate the feasibility of the system's city-wide implementation in the future.
284 citations
"Study and Analysis of Smart Applica..." refers background in this paper
...A hierarchical distributed Fog Computing architecture to support the integration of massive number of infrastructure components and services in future smart cities has been carried out [5] and a smart pipeline monitoring system based on fibre optic sensors and sequential learning algorithms to detect events threatening pipeline safety has been developed....
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...[5] 2017 a hierarchical distributed Fog Computing architecture to support the integration of massive number of infrastructure components and services in future smart cities...
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TL;DR: A novel approach for clustering of electricity consumption behavior dynamics, where “dynamics” refer to transitions and relations between consumption behaviors, or rather consumption levels, in adjacent periods is proposed.
Abstract: In a competitive retail market, large volumes of smart meter data provide opportunities for load serving entities to enhance their knowledge of customers’ electricity consumption behaviors via load profiling. Instead of focusing on the shape of the load curves, this paper proposes a novel approach for clustering of electricity consumption behavior dynamics, where “dynamics” refer to transitions and relations between consumption behaviors, or rather consumption levels, in adjacent periods. First, for each individual customer, symbolic aggregate approximation is performed to reduce the scale of the data set, and time-based Markov model is applied to model the dynamic of electricity consumption, transforming the large data set of load curves to several state transition matrixes. Second, a clustering technique by fast search and find of density peaks (CFSFDP) is primarily carried out to obtain the typical dynamics of consumption behavior, with the difference between any two consumption patterns measured by the Kullback-Liebler distance, and to classify the customers into several clusters. To tackle the challenges of big data, the CFSFDP technique is integrated into a divide-and-conquer approach toward big data applications. A numerical case verifies the effectiveness of the proposed models and approaches.
279 citations
"Study and Analysis of Smart Applica..." refers background or methods in this paper
...[3] 2016 a novel approach for clustering of electricity consumption behavior dynamics....
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...For dynamic usage of electricity in smart city , a novel approach for clustering of electricity consumption behavior has been applied [3] and Markov model is applied to model the dynamic electricity consumption and a clustering technique has been developed by fast search and find of density peaks (CFSFDP) which is primarily carried out to obtain the typical dynamics of consumption behavior....
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TL;DR: The motivation and development of networked healthcare applications and systems is presented along with the adoption of cloud computing in healthcare, and a cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications is described.
Abstract: Mobile devices are increasingly becoming an indispensable part of people’s daily life, facilitating to perform a variety of useful tasks. Mobile cloud computing integrates mobile and cloud computing to expand their capabilities and benefits and overcomes their limitations, such as limited memory, CPU power, and battery life. Big data analytics technologies enable extracting value from data having four Vs: volume, variety, velocity, and veracity. This paper discusses networked healthcare and the role of mobile cloud computing and big data analytics in its enablement. The motivation and development of networked healthcare applications and systems is presented along with the adoption of cloud computing in healthcare. A cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications is described. The techniques, tools, and applications of big data analytics are reviewed. Conclusions are drawn concerning the design of networked healthcare systems using big data and mobile cloud-computing technologies. An outlook on networked healthcare is given.
219 citations
"Study and Analysis of Smart Applica..." refers background or methods in this paper
...[1] 2016 Improving Healthcare application using mobile cloud computing and big data analytics....
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...A cloudlet-based mobile cloud-computing infrastructure has been developed in [1] for improving health care applications using big data analytics....
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...An Improving Healthcare application using mobile cloud computing and big data analytics has been proposed [1] where a cloudlet-based mobile cloudcomputing infrastructure has been developed....
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TL;DR: The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams to break away from silo applications and enable cross-domain data integration.
Abstract: Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people’s everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality assessment, contextual filtering, and decision support. This paper presents the framework, describes its components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario implementation presented in this paper.
199 citations