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Cotting Alexandre

Professeur-e HES Associé-e

Main skills

Professeur-e HES Associé-e

Phone: +41 58 606 90 78

Desktop: TP107

HES-SO Valais-Wallis - Haute Ecole de Gestion
Route de la Plaine 2, Case postale 80, 3960 Sierre, CH

Faculty
Economie et services

Main Degree Programme
Informatique de gestion

BSc HES-SO en Economie d'entreprise - HES-SO Valais-Wallis - Haute Ecole de Gestion

Agile Project Management
Développement WEB
Gestion de projet

2021

Une plateforme en ligne pour évaluer les besoins et faciliter l'orientation des personnes proches aidantes d'individus avec démence

Chapter ArODES

Pihet Sandrine, Pasquier Noémie, Tétreault Sylvie, Cotting Alexandre, Carrard Isabelle

Dans Ludwig, Catherine, Oulevey Bachmann, Annie, Tétreault, Sylvie, Proches aidant·e·s : des alliés indispensables aux professionnels de la santé (pp. 154-223). 2021, Genève : Georg

Link to the publication

2020

I-BAT :

Chapter ArODES

a data-intensive solution based on the Internet of Things to predict energy behaviors in microgrids

Jara Antonio, Dufour Luc, Rizzo Gianluca, Pawlowski Marcin Piotr, Genoud Dominique, Cotting Alexandre, Bocchi Yann, Chabbey François

Dans Management Association, Information Resources, Securing the internet of things: concepts, methodologies, tools, and applications (Pp. 630-654). 2020, Hershey : IGI Global

Link to the publication

Summary:

Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby, control actions can be carried out such as decrease heating systems levels and switch of low-priority devices. For this purpose, this work has deployed an Advanced Metering Infrastructure (AMI) based on the Internet of Things (IoT) in the Techno-Pole testbed. This deployment provides the data from energy-related parameters such as load curves of the overall building through Non-Intrusive Load Monitoring (NILM), a wireless network of IoT-based smart meters to measure and control appliances, and finally the generated power curve by 2000 square meters of photovoltaic panels. The prediction model proposed is based on recognition of electrical signatures. These electrical signatures have been used to detect complex usage patterns. The modelled patterns have allowed to identify the work day of the week, and predict the load and generation curves for 15 minutes with accuracy over the 90%. This short-term prediction allows one to carry out the proper actions in order to balance the microgrid status (i.e., get a proper balance between production and consumption with respect to worked requirements).

2017

The MedRed ontology for representing clinical data acquisition metadata

Chapter ArODES

Calbimonte Jean-Paul, Dubosson Fabien, Hilfiker Roger, Cotting Alexandre, Schumacher Michael

The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II (pp. 38-47). 2017, Cham : Springer

Link to the publication

Summary:

Electronic Data Capture (EDC) software solutions are progressively being adopted for conducting clinical trials and studies, carried out by biomedi-cal, pharmaceutical and health-care research teams. In this paper we present the MedRed Ontology, whose goal is to represent the metadata of these studies, using well-established standards, and reusing related vocabularies to describe essential aspects, such as validation rules, composability, or provenance. The paper de-scribes the design principles behind the ontology and how it relates to existing models and formats used in the industry. We also reuse well-known vocabularies and W3C recommendations. Furthermore, we have validated the ontology with ex-isting clinical studies in the context of the MedRed project, as well as a collection of metadata of well-known studies. Finally, we have made the ontology available publicly following best practices and vocabulary sharing guidelines.

MedRed :

Scientifique ArODES

a health-care data acquisition service for research purposes

Calbimonte Jean-Paul, Dubosson Fabien, Hil?ker Roger, Cotting Alexandre, Schumacher Michael

Swiss Medical Informatics, 2017, vol. 33, pp. 1-7

Link to the publication

Summary:

Research in the health-care domain requires the collection of important and exhaustive datasets, in order to validate a scientific hypothesis, or to assess the effectiveness of a treatment, technology, medicine, or procedure. The data acquisition phase for this type of work requires an often under-estimated amount of time and effort, while needing to keep high quality standards for the entire process. Many of the tasks associated with data acquisition are often carried out manually, resulting in error-prone procedures, hand-transcription, inaccuracy, and time delays to produce a resulting usable dataset. This paper presents MedRed (Medical Research Data Acquisition Platform ), a platform and a service designed to facilitate the data acquisition process for researchers in the health-care do-main, using the REDCap software for data capture. This service is available in a first stage, for all scientists of the HES-SO (University of Applied Sciences and Arts Western Switzerland) schools in Switzerland, and partially supported by the SwissUniversities CUS-P2 program.

2021

A platform for difficulty assessment and recommendation of hiking trails

Conference ArODES

Simon Martin, Jean-Paul Calbimonte, Davide Calvaresi, Alexandre Cotting

Information and communication technologies in tourism 2021 : proceedings of the ENTER 2021 eTourism Conference

Link to the publication

Summary:

In recent years, the popularity of hiking has steadily increased across different segments of the population. Although there is considerable evidence of the benefits for hikers regarding physical and mental health, the inherent risks of these outdoor activities cannot be underestimated. Accident prevention and an increase of awareness about possible risks are necessary to minimize hiking and pedestrian tourism’s negative consequences. In most hiking information maps and interactive applications, there is usually not enough information about difficulty points or the granularity level required to provide tailored recommendations to hikers with physical or psychological limitations. In this paper, we present Syris, a geo-information system for hiking itineraries that incorporates Points-Of-Difficulty to assess the level of effort, technique, and risk of hiking trails. The system allows users to filter itineraries and obtain recommendations based on the assessment of difficulty following a well-established methodology. The system has been implemented, deployed and tested with real data in the region of Val d’Anniviers in Switzerland, and is openly available to enable further developments and refinement.

2018

SanTour :

Conference ArODES

towards personalized hiking trails adapted to health profiles

Nicolas Délétroz, Emeline Hébert, Roger Hilfiker, Alexandre Cotting, Nancy Zappellaz, Maya Simon, Jean-Paul Calbimonte Pérez

Proceedings of the 1st International Workshop on Knowledge Graphs on Travel and Tourism at the 18th ICWE 2018

Link to the publication

Summary:

Health tourism represents a promising niche still insufficiently exploited in Europe and Switzerland. Hiking has been a popular tourist activity for years and staying healthy is an important motivation for hiking. However, physical and psychological limitations in potential hik- ers often represent an unsurmountable barrier to complete a particular path. This mismatch between trail and user results in a poor visitor ex- perience, affecting negatively both the user and the touristic destination. This paper presents SanTour, a novel concept in health tourism centered on the needs of visitors by considering their physical capacities and lim- its, as well as their expectations. SanTour exploits two main knowledge bases: one centered on the user, including a health profile, and another centered on the hiking trails. In a pilot phase, the concept has been prototyped and tested on a limited scale, with support from a tourist of- fice in Switzerland. We plan to further develop this application that will provide an innovative service to hikers by cross-referencing their physical abilities and the characteristics of the hiking trails.

2016

From data to decisions

Conference ArODES

Florian Evéquoz, Maria Sokhn, Alexandre Cotting

Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (ICEGOV2016)

Link to the publication

Summary:

A revolution over the open data approach has gained importance over the last decade. This revolution is based on the information and communication technology and has been catalyzed by open government directives that have emerged. In this paper we present preliminary results of our approach based on dashboards showing selected open government data as a key element for trends visualization, prediction evaluation and decision support.

2015

From data to data’s transparency

Conference ArODES

Maria Sokhn, Alexandre Cotting, Eliane Maalouf

Proceedings of ICEGOV2015

Link to the publication

Summary:

Decades ago governments, businesses and other actors used to make benefit of generated data in order to manage and monitor their activities. However traditionally data cleaning and analysis have been time consuming and thus used to be kept limited of access. Making the governmental data available and easily accessible and reusable increases the information visibility and decision makers, thus it improves the transparency and efficiency. In this paper we present an ongoing project, which aims to enhance the transparency and efficiency in Swiss public administration, by making use of dashboards communication power.

Achievements

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Cotting Alexandre

Professeur-e HES Associé-e

Main skills

Open Science

Coaching Agile

Research Data Management

Data Management Plan (DMP)

Professeur-e HES Associé-e