Context recognition and ubiquitous computing in smart cities: a systematic mapping

Computing ◽  
2021 ◽  
Author(s):  
Leonardo Vianna do Nascimento ◽  
Guilherme Medeiros Machado ◽  
Vinícius Maran ◽  
José Palazzo M. de Oliveira
Keyword(s):  
Ubiquitous Computing ◽  
Smart Cities ◽  
Systematic Mapping ◽  
Context Recognition

scholarly journals A Review on the Adoption of Agile Methods in the Technology Development for Smart Cities

2019 ◽  
Author(s):  
Vanessa Rocha ◽  
Lucas Alves ◽  
Valdemar Vicente ◽  
Graciano Neto ◽  
Mohamad Kassab
Keyword(s):  
Technology Development ◽  
Smart Cities ◽  
Sustainable Cities ◽  
Communication Management ◽  
Systematic Mapping ◽  
Agile Processes ◽  
Agile Methodologies ◽  
Development Lifecycle ◽  
Develop Software ◽  
Standard Concept

Smart cities are a standard concept of automated and sustainable cities that adopt technology to increase efficiency in communication, management and globalization of information. Despite the success of the concept, there is an emerging need to develop and deploy software and software-based systems for these cities. Thus, agile methodologies can play an important role, once they are broadly adopted in systems development lifecycle. This paper presents the result of a systematic mapping conducted on agile processes to develop software for smart cities. A systematic mapping identified 246 studies, from which 10 were selected for analysis and presentation of the results obtained.

Ubiquitous Computing to Accessible Way-finding: A Systematic Mapping Study

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Juarez M. Da Silva ◽  
Wesllei Heckler ◽  
Marcelo J. Telles ◽  
Jorge Barbosa ◽  
Willian Werlang
Keyword(s):  
Ubiquitous Computing ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Way Finding

scholarly journals IoT-based air quality monitoring systems for smart cities: A systematic mapping study

2021 ◽  
Vol 11 (4) ◽  
pp. 3470
Author(s):  
Danny Munera ◽  
Diana P. Tobon V. ◽  
Johnny Aguirre ◽  
Natalia Gaviria Gomez
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Smart Cities ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Systematic Mapping Study ◽  
Air Quality Monitoring ◽  
Mapping Study ◽  
Systematic Mapping

<p>The increased level of air pollution in big cities has become a major concern for several organizations and authorities because of the risk it represents to human health. In this context, the technology has become a very useful tool in the contamination monitoring and the possible mitigation of its impact. Particularly, there are different proposals using the internet of things (IoT) paradigm that use interconnected sensors in order to measure different pollutants. In this paper, we develop a systematic mapping study defined by a five-step methodology to identify and analyze the research status in terms of IoT-based air pollution monitoring systems for smart cities. The study includes 55 proposals, some of which have been implemented in a real environment. We analyze and compare these proposals in terms of different parameters defined in the mapping and highlight some challenges for air quality monitoring systems implementation into the smart city context.</p>

Ubiquitous Intelligent Services for Vehicular Users: A Systematic Mapping

2019 ◽  
Vol 31 (5) ◽  
pp. 465-479
Author(s):  
Joneval Zanella Gomes ◽  
Jorge Luis Victória Barbosa ◽  
Claudio Fernando Resin Geyer ◽  
Julio Cesar Santos dos Anjos ◽  
José Vicente Canto ◽  
...  
Keyword(s):  
Smart Cities ◽  
Fog Computing ◽  
High Mobility ◽  
Transport Systems ◽  
Systematic Mapping ◽  
Intelligent Transport ◽  
Visual Clustering ◽  
Technological Developments ◽  
Security Infrastructure ◽  
Active Research

Abstract The space inside a vehicle, which people can enjoy while travelling, is becoming more intelligent due to the technological developments within the automotive industry. This has influenced the increase in new services that are intended to fulfil the needs of vehicle users. This article presents a survey on the provisioning of ubiquitous intelligent services for vehicular users. It also identifies clusters of research interest on this subject. To this end, an evaluation of results from six scientific research databases supports these goals. This process initially identified 37 328 publications; after filtering and clustering, the scope of analysis became 39 articles. The main contributions points to (i) the existence of five active research clusters, as a result of the inclusion of a visual clustering step in the systematic mapping protocol; (ii) an indication of a string of studies starting in the late ’90s from traffic issues, intelligent transport systems and profiling, to smart cities, the Internet of Things, big data, fog computing and internet of vehicles in recent years; and (iii) that the main challenges associated with the implementation of ubiquitous intelligent services for vehicular users are related to data security, infrastructure, connectivity and high mobility.

scholarly journals Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: A Systematic Mapping Study

2019 ◽  
Vol 4 (1) ◽  
pp. 72-85 ◽  
Author(s):  
Olga Fragou ◽  
Anna Mavroudi
Keyword(s):  
Internet Of Things ◽  
Mobile Computing ◽  
Ubiquitous Computing ◽  
Real Life ◽  
Systematic Mapping Study ◽  
Learning Approaches ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Effective Learning ◽  
Learning Ecology

Ubiquitous computing, mobile computing and the Internet of Things (UMI) have been widely used in several application areas. To date, methods and techniques for the application of these technologies in real life situations have continued to emerge; however, their use in education settings focusing on existing practices remain largely underexplored. A systematic mapping study (SMS) method was herein used to map initially identified 395 articles with the aims of systematically analyzing and presenting the evidence from the literature on the topic, and to identify important gaps as well as promising research directions. An appropriate methodological protocol has been adopted from the literature for the analysis, filtering, evaluation and report of the evidence. As a result, twenty-five studies have been selected and analyzed. The axes of analyzing systematically the literature were inspired by an existing UMI learning ecology. The analysis revealed important characteristics of existing UMI related educational practices in all levels of education, including  contexts and actors involved, methods and digital tools used, affordances and learning approaches important for achieving effective learning in IoT, Mobile and Ubiquitous Computing domain.

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