scholarly journals Data Analytics in Smart Healthcare: The Recent Developments and Beyond

2019 ◽  
Vol 9 (14) ◽  
pp. 2812 ◽  
Author(s):  
Miltiadis D. Lytras ◽  
Kwok Tai Chui ◽  
Anna Visvizi
Keyword(s):  
Smart City ◽  
Data Analytics ◽  
Recent Decade ◽  
Healthcare Analytics ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Recent Developments ◽  
Energy Transportation ◽  
And Control

The concepts of the smart city and the Internet of Things (IoT) have been facilitating the rollout of medical devices and systems to capture valuable information of humanity. A lot of artificial intelligence techniques have been demonstrated to be effective in smart city applications like energy, transportation, retail and control. In recent decade, retardation of the adoption of data analytics algorithms and systems in healthcare has been decreasing, and there is tremendous growth in data analytics research on healthcare data. The results of analytics aim at improving people’s quality of life as well as relieving the issue of medical shortages. In this special issue “Data Analytics in Smart Healthcare”, thirteen (13) papers have been published as the representative examples of recent developments. Guest Editors also highlight some emergent topics and opening challenges in healthcare analytics which follow the visions of the movement of healthcare analytics research.

scholarly journals A Review of Technical Standards for Smart Cities

2020 ◽  
Vol 2 (3) ◽  
pp. 290-310 ◽  
Author(s):  
Chun Sing Lai ◽  
Youwei Jia ◽  
Zhekang Dong ◽  
Dongxiao Wang ◽  
Yingshan Tao ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Economic Development ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Life Quality ◽  
Technical Standards ◽  
Recent Developments ◽  
Energy Transportation

Smart cities employ technology and data to increase efficiencies, economic development, sustainability, and life quality for citizens in urban areas. Inevitably, clean technologies promote smart cities development including for energy, transportation and health. The smart city concept is ambitious and is being refined with standards. Standards are used to help with regulating how smart cities function and contributing to define a smart city. Smart cities must be officially recognized by national and international authorities and organizations in order to promote societal advancement. There are many research and review articles on smart cities. However, technical standards are seldom discussed in the current literature. This review firstly presents the study of smart city definitions and domain. The well-known smart city standards will be presented to better recognize the smart city concept. Well-defined standards allow meaningful comparisons among smart cities implementation. How smart city initiatives make a city smarter and improve the quality of life will be discussed for various countries. This review highlights that technical standards are important for smart cities implementation. This paper serves as a guide to the most recent developments of smart cities standards.

Using Big Data Analytics to Assist a Smart City to Prevent Cyber Security Threats

2021 ◽  
pp. 107-124
Author(s):  
Fenio Annansingh
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Smart City ◽  
Data Analytics ◽  
Life Quality ◽  
Big Data Analytics ◽  
Review Of The Literature ◽  
Smart Services ◽  
Prevention Model

The concept of a smart city as a means to enhance the life quality of citizens has been gaining increasing importance in recent years globally. A smart city consists of city infrastructure, which includes smart services, devices, and institutions. Every second, these components of the smart city infrastructure are generating data. The vast amount of data is called big data. This chapter explores the possibilities of using big data analytics to prevent cybersecurity threats in a smart city. It also analyzed how big data tools and concepts can solve cybersecurity challenges and detect and prevent attacks. Using interviews and an extensive review of the literature have developed the data analytics and cyber prevention model. The chapter concludes by indicating that big data analytics allow a smart city to identify and solve cybersecurity challenges quickly and efficiently.

scholarly journals eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning

2020 ◽  
Vol 4 (4) ◽  
pp. 37
Author(s):  
Khaled Fawagreh ◽  
Mohamed Medhat Gaber
Keyword(s):  
Random Forest ◽  
Replicator Dynamics ◽  
Evolutionary Game ◽  
Theoretic Approach ◽  
Healthcare Applications ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Game Theoretic ◽  
Game Theoretic Approach

To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare. As a result, smart healthcare applications have been and are being developed to provide, using mobile and electronic technology, higher diagnosis quality of the diseases, better treatment of the patients, and improved quality of lives. Since smart healthcare applications that are mainly concerned with the prediction of healthcare data (like diseases for example) rely on predictive healthcare data analytics, it is imperative for such predictive healthcare data analytics to be as accurate as possible. In this paper, we will exploit supervised machine learning methods in classification and regression to improve the performance of the traditional Random Forest on healthcare datasets, both in terms of accuracy and classification/regression speed, in order to produce an effective and efficient smart healthcare application, which we have termed eGAP. eGAP uses the evolutionary game theoretic approach replicator dynamics to evolve a Random Forest ensemble. Trees of high resemblance in an initial Random Forest are clustered, and then clusters grow and shrink by adding and removing trees using replicator dynamics, according to the predictive accuracy of each subforest represented by a cluster of trees. All clusters have an initial number of trees that is equal to the number of trees in the smallest cluster. Cluster growth is performed using trees that are not initially sampled. The speed and accuracy of the proposed method have been demonstrated by an experimental study on 10 classification and 10 regression medical datasets.

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.

Towards a Better and Smarter Healthcare and IoT

2019 ◽  
pp. 191-228
Author(s):  
Navin Kumar
Keyword(s):  
Big Data ◽  
Quality Of Care ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Systems ◽  
Healthcare Organizations ◽  
Healthcare Data ◽  
Value Based Care ◽  
Rich Data

The amount of healthcare data continues to exponentially grow everyday. The complexity of this data further limits the analytical capabilities of traditional healthcare systems. With value-based care, it is far more imminent for healthcare organizations to control the costs and to improve the quality of care in order to sustain their business. The purpose of the chapter is to gain insights into complexities and challenges that exist in current healthcare systems and how big data analytics and IoT can play a pivotal role to positively influence the quality of care and patient outcomes. The chapter also provides solutions and strategies for building cloud-based data asset that can deliver rich data analytics to both the healthcare systems and the patients.

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

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.

scholarly journals AN OVERVIEW OF THE USE OF BIOMETRIC TECHNIQUES IN SMART CITIES

2021 ◽  
Vol XLIV-2/W1-2021 ◽  
pp. 41-45
Author(s):  
E. Farazdaghi ◽  
M. Eslahi ◽  
R. El Meouche
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Gait Recognition ◽  
Urban Life ◽  
The Past ◽  
Smart Healthcare ◽  
Human Desire ◽  
Gender Detection ◽  
The City

Abstract. The human desire to live in an urban area increases every day. However, citizens’ expectation of urban life is very different compared to the past. It is, thus, essential to satisfy their requirements and ensure their safety within their cities. As a result, there is a huge trend in the implementation of smart cities around the world. A smart city is a solution to improve the quality of life of the citizens, and governing the city in an efficient and systematic. Besides, significant advances have been raised in biometrics technologies, which have made many aspects of urban life easier, more efficient, and more secure. Accordingly, to be compliant with the demands of a smart city in the future, biometrics-based technologies will certainly play a significant role from now on. Thus, it is necessary to list the different biometrics methods that could be used in smart cities and to review the variety of applications for each method. In this article, we have listed the potential biometrics systems that can be employed in smart cities, such as facial recognition, age estimation, gender detection, facial expression detection and sentiment recognition, and gait recognition. We also have listed different applications imagined for each biometrics system such as their application in identification systems and security, smart healthcare, smart advertising, education, and high-risk lifestyle behaviours prevention. We believe that this work can help to better use of these methods, improve their technical quality, and also employing them in the advance and more effective ways.

The Use of Spatial Analysis Approaches for Smart Decision Making of Subterranean Water

2019 ◽  
Vol 10 (4) ◽  
pp. 44-58
Author(s):  
Panagiotis Kalaitzis ◽  
Dimitris Kavroudakis ◽  
Nikolaos A. Soulakellis
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Spatial Analysis ◽  
Smart City ◽  
Continuous Monitoring ◽  
Optimal Management ◽  
And Control ◽  
Subterranean Water

Water is one of life's and nature's most dominant elements, with its presence influencing and controlling the climatic, geological, and biological conditions of an area. Continuous monitoring of subterranean water with the aim of its optimal management has become necessary nowadays. The aspiration of this research is, that the development of “smart” methods for this purpose, will lead to the optimization of the quality of life of the inhabitants of a region, always respecting the environment. The use of geoinformatics methods can contribute to the development of models according to which a network for the logging and control of boreholes and subterranean water will be created, which in turn will lead to smart and direct decision-making concerning their management. In this research, an effort is made to show the contribution of spatial analysis to the design and management of the subterranean water of an area, with the vision of a smart city being the ultimate goal.

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