Fig 1 - uploaded by Djilali Idoughi
Content may be subject to copyright.
Source publication
A mashup is an application that combines data and functionalities from more than one source. It groups disparate data in ways that enable users to do new things or accomplish common tasks with newfound efficiency. The introduction of mashup applications and their increasing use by users in the field of e-Learning and e-commerce highlights new issue...
Context in source publication
Context 1
... our scenario, we have five web services: weather application, traffic application, pollution application, management of rental bicycles and transportation man- agement. We use the UML Use case diagram to specify them (Fig.1). Citizens use these services, and Operators (employees) are in charge of updating the status of these services. ...
Citations
... The Mashup architecture is made up of three elements according to Merrill cited by [6]: Data, Services, and User Interface. Mashup aims at the composition of a three-tier application: (1) Data (data integration), (2) Application logic (process integration), and (3) User Interface (presentation integration). ...
... a/ Architecture of an Intermediation platform with Data Vitalization[5], b/ Supportive User Interface[6]. ...
... This plane connects data from the communication plane and creates metadata in response to the query from the application service plane. It performs multi-functional processing using mash-up web services methods (described below) with service and user interface orchestration for integrating different city services using the Hadoop environment (Atrouche et al., 2015). The processing includes predictive, prescriptive, and inferential analysis. ...
Rapid urbanization across the world has put an enormous burden on our environment. Cities from developing countries, in particular, are experiencing high air pollution levels. To address this challenge, the new WHO global air quality guidelines and various nations are mandating cities to implement clean air measures. However, these implementations are largely hindered by limited observations, siloed city operations, absence of standard processes, inadequate outreach, and absence of collaborative urban air quality management (UAQM) governance. The world is experiencing transformative changes in the way we live. The 4th industrial revolution technologies of artificial intelligence, Internet of Things, big data, and cloud computing bridge gaps between physical, natural, and personal entities. Globally, smart cities are being promulgated on the premise that technologies and data aid in improving urban services. However, in many instances, the smart city programs and UAQM services may not be aligned, thereby constraining the cumulative advantage in building urban resilience. Considering the potential of these technologies as enablers of environmental sustainability, a conceptual urban computing framework “SmartAirQ” for UAQM is designed. This interdisciplinary study outlines the SmartAirQ components: 1) data acquisition, 2) communication and aggregation, 3) data processing and management, 4) intelligence, 5) application service, 6) high-performance computing- (HPC-) cloud, and 7) security. The framework has integrated science cloud and urban services aiding in translating scientific data into operations. It is a step toward collaborative, data-driven, and sustainable smart cities.
The Smart City is a possible evolution of each City. With the rapid development of information technologies applied everywhere in city life, cities are becoming smarter and smarter. However, this context has multiple orientations, supported by an architecture of the assistive system and the associated implementation process. In this chapter, we present several cases of evolution of a city to become smart by integration of appropriate applications and associated assistive services. The integration of initially autonomous applications to a system is natural evolution, conducting to create an assistive system. We begin by the presentation of different smart city applications, then we try to conceptualize this issue and point out the main aspects. We propose also a design methodology with different approaches illustrated by several case studies that attempt to transform a coastal city into a Smart Coastal City. Proposed design methodology approaches and technologies can be used in order to manage the progress of a city to become smarter. We present several cases, supported by appropriate approaches, mainly mobility oriented and indicate their relations with proposed methodology, the role and functionalities of corresponding assistive systems, and the HCIs implemented in practice. Finally, we integrate all these aspects in the architecture of an assistive system managing them.
The Smart City is an important evolution for cities of different sizes and contexts. Multifaceted proposals are made all around the world. Mobility support and its evolution is an important part of this issue. In this paper we propose to study a particular context, which is devoted to showing how a Coastal city can become a Coastal Smart City. We present our study and proposals based mainly on special mobility configurations, the role and functionalities of corresponding assistive systems, and the HCIs implemented in practice. Finally, we integrate all these aspects in the architecture of the assistive system managing them.
The Smart City is a multifaceted objective aiming at increasing viability of the city for its inhabitants. Mobility in the city is an important dimension of the Smart City for humans and goods, which can either move without assistance or may need special assistance. The objective of this paper is to investigate the role of assistive systems for the mobility of humans and goods in order to take into account special needs. We discuss and classify different situations for assistance of humans and goods either by means of technology or humans (and technology) and present different assistive system behaviors already used or to be implemented in the future.
