Mohamed Chachoua

École des Ingénieurs de la Ville de Paris - EIVP | EIVP · computer Science & technologies urbaines

Mobile sensors are increasingly used to monitor air quality to accurately quantify human exposure to air pollution. These sensors are subject to various issues (misuse, malfunctions, battery problems, etc) that are likely to cause data quality problems. These quality problems may have a considerable impact on the reliability of analytical studies....

The advent of the new generation of low-cost lightweight and connected sensors made a paradigm shift in environmental studies. In particular, nomadic sensors allow for a very precise personalized measurement, by continuously quantifying the individual exposure to air pollution components. Moreover, a broad dissemination among volunteers of these de...

Mobile sensors are being widely used to monitor air quality to quantify human exposure to air pollution. These sensors are prone to malfunctions, resulting in many data quality issues, which in turn impacts the reliability of analytical studies. In this work, we address the problem of data quality evaluation in mobile crowd-sensing environments, an...

Our study is a contribution to the development of smart cities, especially smart urban building sites. The main objective of our work is to build a spatial decision support system to help managers of public spaces to better planning of building sites to reduce their annoyances. In this paper, we focus our study on the representation and the managem...

Data warehouse means a decision support database allowing integration, organization, historisation, and management of data from heterogeneous sources, with the aim of exploiting them for decision-making. Data warehouses are essentially based on multidimensional model. This model organizes data into facts (subjects of analysis) and dimensions (axes...

Urban building sites are often a source of various kinds of annoyances. In FURET1 project, we aim at developing a planning approach and a spatial decision support system (SDSS) dedicated to reducing the annoyance generated by urban building sites, particularly in dense urban environments. In this paper, we focus our work on the modelling of the ann...

Effective planning of urban building sites is essential because they are often a source of various kinds of nuisances. In this paper, we present a decision support system for the public space administrator in order to manage building sites nuisances efficiently. The decision support offered through the system is a hybrid approach of two categories....

In this paper, we focus our study on the modelling of the annoyances generated by the urban building sites. Specifically, we present a new approach that allows evaluating the annoyances caused by some nuisances of the building sites. This approach will be used in a decision support system to help managers of public spaces to reduce annoyances and i...

In this paper, a decision support system for managing urban building sites nuisances is described. First, the decision process for nuisance management is studied in order to understand the use context of the decision support system. Two levels are identified where decision support is appropriate: at the territorial level for the administrator of t...

This paper presents a new qualitative approach of decision-making under uncertainty. We study the notions of uncertainty and informational relevance and we present a qualitative decision theory to reasoning under uncertainty. This approach enables us to represent the uncertainty in ignorance form, as in common-sense reasoning, by using linguistic e...

In this paper, we focus our attention on the processing of the uncertainty encountered in the common sense reasoning. Firstly, we explore the uncertainty concept and then we suggest a new approach which enables a representation of the uncertainty by using linguistic values. The originality of our approach is that it allows to reason on the uncertai...

This paper is devoted to qualitative reasoning under ignorance. We show how to represent conditional ignorance and informational relevance in the symbolic entropy theory that we have developed in our previous work. This theory allows us to represent uncertainty, in the ignorance form, as in common-sense reasoning, by using the linguistic expression...

This paper is devoted to the informational relevance notion in qualitative reasoning under uncertainty. We study the uncertainty and the relevance notions and we present a symbolic approach to deal with uncertainty. This approach enables us to represent the uncertainty in ignorance form, as in common-sense reasoning, by using linguistic expressions...

In this paper, we present a new symbolic approach to deal with the uncertainty encountered in common-sense reasoning. This approach enables us to represent the uncertainty by using linguistic expressions of the interval [Certain, Totally uncertain]. The original uncertainty scale that we use here, presents some advantages over other scales in the r...

In this paper, we focus our attention on the processing of the uncertainty encountered in the natural language.