Suchergebnisse

International audience ; The development and usage of Unmanned Aerial Vehicles (UAVs) quickly increased in the last decades, mainly for military purposes. Now, this type of technology is also used in non-military contexts mainly for civil and environment protection: search & rescue teams, fire fighters, police officers, environmental scientific studies, etc. Although the technology for operating a single UAV is now mature, additional efforts are still necessary for using UAVs in fleets (or swarms). Therefore the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques). The major challenge of this project consists in handling several fleets of UAVs including communication, networking and positioning aspects. This motivates the development of novel multilevel cooperation algorithms which have not been widely explored, especially when autonomy is an additional challenge. Techniques to optimize communications for multilevel swarms are also required. Finally, distributed andlocalized mobility management algorithms that cope with conflicting objectives such as connectivity maintenance and geographical areacoverage must be provided.

International audience ; This poster represents a continuation of two successful Knowledge Cafés conducted at IUCN World Parks Congress in Barcelona in 2008 and in Jeju in 2012 and a Poster in Sydney 2014. Its objective is to present our experience and promote discussion and sharing of experiences concerning innovative methodological and pedagogical approaches for protected areas management. Participatory methodologies for protected areas management represent one of the main challenges related to social inclusion and benefit sharing concerning biodiversity conservation strategies. However, there is still limited experience and critical reflexion, in terms of possible tools and methodological development and evaluation. Taking into consideration the need to promote biodiversity protection with social commitment, the development of social technology and new approaches in protected areas participatory management can be considered as key issues related to the Biological Diversity Convention principles and goals and to the new agreed Sustainable Development Goals.In this poster, the experience from an ongoing project, a serious game named SimParc (http://www-desir.lip6.fr/~briot/simparc) about participatory management of national parks in Brazil will be used as an example to share experiences and questions, to foster discussions and to strengthen networking with this objective.The overall objective of this poster presentation is, with the different partners, to discuss "pilot projects" and solutions to evaluate their potential for future use in building capacity for human resources training and policy decision making. The key questions to be answered will be: What can be considered as innovation in pedagogical methodological approaches for protected areas participatory management? What are the needs and challenges to be faced? To what extent computer games can be used as a management tool? How to strengthen participatory management based on serious games and new social technologies?We hope that thanks to the poster presentation and discussion, it will be possible to identify the main issues to be dealt with and to identify different partners for a future network concerning participatory methodological development and analysis for protected areas management. This event will be aligned with the need for engaging civil society and local empowerment in the discussion of public policies and for strengthening local action for biodiversity conservation.We plan to engage the World Commission of Protected Areas (WCPA/IUCN), different academic institutions, NGOs (such as CI, ISA, and others), representatives of public policies and of management committees of protected areas, national and local governmental agencies and international development agencies.

International audience ; This poster represents a continuation of two successful Knowledge Cafés conducted at IUCN World Parks Congress in Barcelona in 2008 and in Jeju in 2012 and a Poster in Sydney 2014. Its objective is to present our experience and promote discussion and sharing of experiences concerning innovative methodological and pedagogical approaches for protected areas management. Participatory methodologies for protected areas management represent one of the main challenges related to social inclusion and benefit sharing concerning biodiversity conservation strategies. However, there is still limited experience and critical reflexion, in terms of possible tools and methodological development and evaluation. Taking into consideration the need to promote biodiversity protection with social commitment, the development of social technology and new approaches in protected areas participatory management can be considered as key issues related to the Biological Diversity Convention principles and goals and to the new agreed Sustainable Development Goals.In this poster, the experience from an ongoing project, a serious game named SimParc (http://www-desir.lip6.fr/~briot/simparc) about participatory management of national parks in Brazil will be used as an example to share experiences and questions, to foster discussions and to strengthen networking with this objective.The overall objective of this poster presentation is, with the different partners, to discuss "pilot projects" and solutions to evaluate their potential for future use in building capacity for human resources training and policy decision making. The key questions to be answered will be: What can be considered as innovation in pedagogical methodological approaches for protected areas participatory management? What are the needs and challenges to be faced? To what extent computer games can be used as a management tool? How to strengthen participatory management based on serious games and new social technologies?We hope that thanks to the poster presentation and discussion, it will be possible to identify the main issues to be dealt with and to identify different partners for a future network concerning participatory methodological development and analysis for protected areas management. This event will be aligned with the need for engaging civil society and local empowerment in the discussion of public policies and for strengthening local action for biodiversity conservation.We plan to engage the World Commission of Protected Areas (WCPA/IUCN), different academic institutions, NGOs (such as CI, ISA, and others), representatives of public policies and of management committees of protected areas, national and local governmental agencies and international development agencies.

International audience ; This paper presents a multi-agent model for simulating attitude formation and change based on perception and communication in the context of stabilization operations. The originality of our model comes from (1) attitude computation that evaluates information as part of a history relative to the individual (2) a notion of co-responsibility for attitude attribution. We present a military scenario of French operations in Afghanistan along with polls results about the opinion of citizen toward present Forces. Based on these field data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; This paper presents a multi-agent model for simulating attitude formation and change based on perception and communication in the context of stabilization operations. The originality of our model comes from (1) attitude computation that evaluates information as part of a history relative to the individual (2) a notion of co-responsibility for attitude attribution. We present a military scenario of French operations in Afghanistan along with polls results about the opinion of citizen toward present Forces. Based on these field data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; This paper presents a multi-agent model for simulating attitude formation and change based on perception and communication in the context of stabilization operations. The originality of our model comes from (1) attitude computation that evaluates information as part of a history relative to the individual (2) a notion of co-responsibility for attitude attribution. We present a military scenario of French operations in Afghanistan along with polls results about the opinion of citizen toward present Forces. Based on these field data, we calibrate the model and show the resulting attitude dynamics. We study the sensibility of the model to the co-responsibility factor.

International audience ; The global consequences of climate change calls for adoption of new technologies across all sectors of society. However, it is important to know how fast new technologies are adopted to reach the political climate goals. This paper presents a method for designing agent-based simulations for studying technology adoption. The method includes the design of simulation population, agent adoption logic, and external factors influencing agents' adoption decisions. A case study of the Danish commercial greenhouses' adoption of a smart energy solution is investigated. The result is presented with Roger's technology adoption curve which can be used to demonstrate the desired adoption rate by regulating different simulation parameters. The adoption rate of 50% with the return on the investment of 3 and 5 years is investigated. The greenhouse segment of growing pot plants with an area of more than 20,000 m2 is found to be the innovators. The simulation result shows that the population categories of the 'innovators', 'early adopters', and 'early majority' don't change between the return on investment time of 3 and 5 years. Furthermore, the relation of the return on investment time and the initial cost is close to linear. Hence, a lower/higher initial cost will result in a shorter/longer return on investment time.

International audience ; A significant problem common for di↵erent domains of applications is an issue of obtaining and keeping an influential position in the respective social media society. In this paper a new approach is proposed based on the analysis of roles of users in groups identified within society. Three di↵erent dimensions of user behavior are considered as key elements of these roles: their activity, influence and cooperativeness/competition. Taking into account measures describing these dimensions, a set of roles characterizing behaviors of users in groups is formulated. We propose an original set of roles with their justification in sociological models, develop an easy extendable model of a social system and conduct experiments to allow us to define patterns describing stability and variability of given roles as well as statistics of transitions in time between these considered roles. To define the roles, we took into account di↵erent features of user interactions, both quantitative and qualitative. We propose an integrated approach to the analysis of role changes in the context of group evolution. We consider behavior of users in groups with di↵erent sizes and di↵erences between them. We also analyse the stability of individual roles players by users in groups and often occurring transitions between individual roles. The obtained results, interpreted also from the sociological point of view, allow the formulation of general recommendations on which behaviors of users could ensure achieving and maintaining influential roles in social media. The most frequent patterns of transitions between roles are identified and significant similarities between them for two considered blog portals are described. The approaches and methods of analysis presented in the paper may be applied to support decisions leading to obtaining and maintaining influential positions in social media, which may be useful for the promotion of goods and services, leading business or political campaigns.

International audience ; A significant problem common for di↵erent domains of applications is an issue of obtaining and keeping an influential position in the respective social media society. In this paper a new approach is proposed based on the analysis of roles of users in groups identified within society. Three di↵erent dimensions of user behavior are considered as key elements of these roles: their activity, influence and cooperativeness/competition. Taking into account measures describing these dimensions, a set of roles characterizing behaviors of users in groups is formulated. We propose an original set of roles with their justification in sociological models, develop an easy extendable model of a social system and conduct experiments to allow us to define patterns describing stability and variability of given roles as well as statistics of transitions in time between these considered roles. To define the roles, we took into account di↵erent features of user interactions, both quantitative and qualitative. We propose an integrated approach to the analysis of role changes in the context of group evolution. We consider behavior of users in groups with di↵erent sizes and di↵erences between them. We also analyse the stability of individual roles players by users in groups and often occurring transitions between individual roles. The obtained results, interpreted also from the sociological point of view, allow the formulation of general recommendations on which behaviors of users could ensure achieving and maintaining influential roles in social media. The most frequent patterns of transitions between roles are identified and significant similarities between them for two considered blog portals are described. The approaches and methods of analysis presented in the paper may be applied to support decisions leading to obtaining and maintaining influential positions in social media, which may be useful for the promotion of goods and services, leading business or political campaigns.

International audience ; The global consequences of climate change calls for adoption of new technologies across all sectors of society. However, it is important to know how fast new technologies are adopted to reach the political climate goals. This paper presents a method for designing agent-based simulations for studying technology adoption. The method includes the design of simulation population, agent adoption logic, and external factors influencing agents' adoption decisions. A case study of the Danish commercial greenhouses' adoption of a smart energy solution is investigated. The result is presented with Roger's technology adoption curve which can be used to demonstrate the desired adoption rate by regulating different simulation parameters. The adoption rate of 50% with the return on the investment of 3 and 5 years is investigated. The greenhouse segment of growing pot plants with an area of more than 20,000 m2 is found to be the innovators. The simulation result shows that the population categories of the 'innovators', 'early adopters', and 'early majority' don't change between the return on investment time of 3 and 5 years. Furthermore, the relation of the return on investment time and the initial cost is close to linear. Hence, a lower/higher initial cost will result in a shorter/longer return on investment time.

International audience ; A significant problem common for di↵erent domains of applications is an issue of obtaining and keeping an influential position in the respective social media society. In this paper a new approach is proposed based on the analysis of roles of users in groups identified within society. Three di↵erent dimensions of user behavior are considered as key elements of these roles: their activity, influence and cooperativeness/competition. Taking into account measures describing these dimensions, a set of roles characterizing behaviors of users in groups is formulated. We propose an original set of roles with their justification in sociological models, develop an easy extendable model of a social system and conduct experiments to allow us to define patterns describing stability and variability of given roles as well as statistics of transitions in time between these considered roles. To define the roles, we took into account di↵erent features of user interactions, both quantitative and qualitative. We propose an integrated approach to the analysis of role changes in the context of group evolution. We consider behavior of users in groups with di↵erent sizes and di↵erences between them. We also analyse the stability of individual roles players by users in groups and often occurring transitions between individual roles. The obtained results, interpreted also from the sociological point of view, allow the formulation of general recommendations on which behaviors of users could ensure achieving and maintaining influential roles in social media. The most frequent patterns of transitions between roles are identified and significant similarities between them for two considered blog portals are described. The approaches and methods of analysis presented in the paper may be applied to support decisions leading to obtaining and maintaining influential positions in social media, which may be useful for the promotion of goods and services, leading business or political campaigns.

International audience ; The global consequences of climate change calls for adoption of new technologies across all sectors of society. However, it is important to know how fast new technologies are adopted to reach the political climate goals. This paper presents a method for designing agent-based simulations for studying technology adoption. The method includes the design of simulation population, agent adoption logic, and external factors influencing agents' adoption decisions. A case study of the Danish commercial greenhouses' adoption of a smart energy solution is investigated. The result is presented with Roger's technology adoption curve which can be used to demonstrate the desired adoption rate by regulating different simulation parameters. The adoption rate of 50% with the return on the investment of 3 and 5 years is investigated. The greenhouse segment of growing pot plants with an area of more than 20,000 m2 is found to be the innovators. The simulation result shows that the population categories of the 'innovators', 'early adopters', and 'early majority' don't change between the return on investment time of 3 and 5 years. Furthermore, the relation of the return on investment time and the initial cost is close to linear. Hence, a lower/higher initial cost will result in a shorter/longer return on investment time.

ISBN: 978-0-9981331-2-6 ; International audience ; Crisis resolution is often based on official government plans that provide guidelines. In real time, when a crisis occurs, one or several plans have to be chosen, merged, refined to meet the specific requirements of the crisis, and then launched. Plans are often in a textual format, which makes their interpretation ambiguous and error prone. Therefore, in real time, the coordination of stakeholders becomes difficult and time consuming. Given these drawbacks, the transformation of a plan into a process provides several advantages: i) an accurate and machinereadable specification of coordination of actions to be done in the field, ii) a better common understanding between stakeholders responsible for these actions and iii) a mean to analyze, simulate and evaluate the crisis response before launching it. The problem being addressed in this paper is "how to deduce a process for driving crisis resolution from business knowledge (plans, stakeholders and their capacities) and relevant facts observed in the impacted field". This paper presents first a meta-model for capturing business knowledge and crisis situation and then a deduction approach deriving a process in a BPMN-like format. Flood of the Loire in June 2016 serves as a supportfor approach experiment

ISBN: 978-0-9981331-2-6 ; International audience ; Crisis resolution is often based on official government plans that provide guidelines. In real time, when a crisis occurs, one or several plans have to be chosen, merged, refined to meet the specific requirements of the crisis, and then launched. Plans are often in a textual format, which makes their interpretation ambiguous and error prone. Therefore, in real time, the coordination of stakeholders becomes difficult and time consuming. Given these drawbacks, the transformation of a plan into a process provides several advantages: i) an accurate and machinereadable specification of coordination of actions to be done in the field, ii) a better common understanding between stakeholders responsible for these actions and iii) a mean to analyze, simulate and evaluate the crisis response before launching it. The problem being addressed in this paper is "how to deduce a process for driving crisis resolution from business knowledge (plans, stakeholders and their capacities) and relevant facts observed in the impacted field". This paper presents first a meta-model for capturing business knowledge and crisis situation and then a deduction approach deriving a process in a BPMN-like format. Flood of the Loire in June 2016 serves as a supportfor approach experiment

ISBN: 978-0-9981331-2-6 ; International audience ; Crisis resolution is often based on official government plans that provide guidelines. In real time, when a crisis occurs, one or several plans have to be chosen, merged, refined to meet the specific requirements of the crisis, and then launched. Plans are often in a textual format, which makes their interpretation ambiguous and error prone. Therefore, in real time, the coordination of stakeholders becomes difficult and time consuming. Given these drawbacks, the transformation of a plan into a process provides several advantages: i) an accurate and machinereadable specification of coordination of actions to be done in the field, ii) a better common understanding between stakeholders responsible for these actions and iii) a mean to analyze, simulate and evaluate the crisis response before launching it. The problem being addressed in this paper is "how to deduce a process for driving crisis resolution from business knowledge (plans, stakeholders and their capacities) and relevant facts observed in the impacted field". This paper presents first a meta-model for capturing business knowledge and crisis situation and then a deduction approach deriving a process in a BPMN-like format. Flood of the Loire in June 2016 serves as a supportfor approach experiment