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    Web services classification for disaster management and risk reduction
    (IEEE Xplore, 2017-12-11) Laachemi, Abdelouahab; Boughaci, Dalila
    A disaster is a disruption of the society functioning that can interrupt essential services of our live. It has an important impact on human, material, economic and environment. There a several kind of disaster such as: natural, environmental emergencies and contagious disease that affects health and so on. We need serious and important resources to reduce risk that can be caused by these disasters. So it is important to establish good programs and classify the activities or services that should be launched to handle disasters. Modern technology can be effective in reducing the damage and risk caused by disasters, particularly the use of Web services in disaster management. To this end, the classification of Web services by domain can be very useful to facilitate the services invocation in the event of an emergency or disaster by the concerned authorities. In this paper, we present an approach that combines both a supervised learning method Naïve Bayes and the meta-heuristic of stochastic Local search (SLS) for services classification. SLS is used for attribute selection which reduces the space of attributes. The latter are sent to Naïve Bayes classifier to build models. To evaluate and measure the performance of our approach we used a set of 364 Web services divided into four categories (QWS Dataset). The experiment gives good results compared to other previous works.
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    Sensor Technologies for Disaster Management Information Systems
    (CERIST, 2013) Benkhelifa, Imane; Nouali-Taboudjemat, Nadia
    In this report, we present different sensor types that can be used to collect data related to disasters and incidents. This data can be: temperature, humidity, vibration, water level, etc. We have chosen to present LIBELIUM products, just as an example to make easier the understanding of the utility of wireless sensors in disaster management. Some general specifications of the sensor card components will be presented first before the different types of connectivity available in the cards. Then, we present in details the different sensors and their applications.
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    Towards an IT-Based Platform for Disaster Risks Management in Algeria
    (2013-05) Benssam, Ali; Nouali-Taboudjemat, Nadia; Nouali, Omar
    Disaster management and risk prevention in Algeria have undergone many changes in the recent years. Important efforts have been provided on the legal and organizational sides to set the right conditions for an integrated and collaborative framework for disaster management in the country. The aim is to address the lack of information sharing, coordination and collaboration among the involved organizations. However, although the enhancement of the organizational arrangements, several problems persist mainly related to the implementation of these measures. To address this issue, in this paper, we propose an IT based platform in the field of risks prevention and disaster management (DM). This platform provides decision support, enables information sharing, helps to enhance public awareness regarding risks and disasters, supports communication and dissemination of information and alerts in disaster situations and facilitates the implementation of regulation related to disaster management.