Ghannem A.,Higher Institute of Management
ACM International Conference Proceeding Series | Year: 2014
Nowadays, serious games have become very powerful and popular learning tool. However, the choice and retrieval of games for learning are not standardized and unguided by the objectives of teachers/trainers. In this perspective, our research aims at the evaluation and the analysis of serious games to maximize their use. Our main goal is often supporting teachers to find the games that meet their needs. Serious games should have explicit objectives and detailed learning relationship with the trainer's needs to be accepted and used. In order to validate if such games are in the service of such training and assist users to choose from the wide range of serious games available, we will develop in this paper a list of features. We believe that these features are essential to a good evaluation methodology of serious games. The criteria of evaluation of serious games refer to the Bloom's taxonomy and to the specification of scenarisation IMS Learning Design. Thus, our proposal is assisting and supporting teachers / trainers to choose serious games and easily integrate them into their learning processes and devices.
Brito A.,University of Lisbon |
Brito A.,Higher Institute of Management |
Lopes I.,University of Lisbon
Astrophysical Journal | Year: 2017
We have analyzed the theoretical model envelopes of eight Kepler F-stars by computing the phase shift of the acoustic waves, α(ω), and its related function, β(ω). The latter is shown to be a powerful probe of the external stellar layers since it is particularly sensitive to the partial ionization zones located in these upper layers. We found that these theoretical envelopes can be organized into two groups, each of which is characterized by a distinct shape that we show to reflect the differences related to the magnitudes of ionization processes. Since can also be determined from the experimental frequencies, we compared our theoretical results with the observable . Using the function β(ω), and with the purpose of quantifying the magnitude of the ionization processes occurring in the outer layers of these stars, we define two indexes, Δβ1 and Δβ2. These indexes allow us to connect the microphysics of the interior of the star with macroscopic observable characteristics. Motivated by the distinct magnetic activity behaviors of F-stars, we studied the relation between the star's rotation period and these indexes. We found a trend, in the form of a power-law dependence, that favors the idea that ionization is acting as an underlying mechanism, which is crucial for understanding the relation between rotation and magnetism and even observational features such as the Kraft break. © 2017. The American Astronomical Society. All rights reserved.
Hajji M.A.,Higher Institute of Management |
Mezni H.,Jendouba University
Soft Computing | Year: 2017
Cloud computing has emerged as a new powerful service delivery model to cope with resource challenges and to offer on-demand various types of services (e.g., software, storage, network). One of the most popular service models is Software as a Service (SaaS). To allow flexibility and reusability, SaaS can be offered in a composite form, where a set of interacting application and data components cooperate to form a higher-level functional SaaS. However, this approach introduces new challenges to resource management in the cloud, especially finding the optimal placement for SaaS components to have the best possible SaaS performance. SaaS Placement Problem (SPP) refers to this challenge of determining which servers in the cloud’s data center can host which components without violating SaaS constraints. Most existing SPP approaches only addressed homogenous SaaS components placement and only considered one type of constraints (i.e., resource constraint). In addition, none of them has considered the objective of maintaining a good machine performance by minimizing the resource usage for the hosting machines. To allow finding the optimal placement of a composite SaaS, we adopt a new variation of PSO called ’Particle Swarm Optimization with Composite Particle (PSO-CP).’ In the proposed PSO-CP-based approach, each composite particle in the swarm represents a candidate SaaS placement scheme. Composite particles adopt a collective behavior to explore and evaluate the search space (i.e., data center) and adjust their structures by collaborating with other composite or independent particles (i.e., servers). The implementation and experimental results show the feasibility and efficiency of the proposed approach. © 2017 Springer-Verlag Berlin Heidelberg
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: DRS-07-2014 | Award Amount: 3.85M | Year: 2015
Increasing Europes resilience to crises and disasters is a topic of highest political concern in the EU and its Member States and Associated Countries. Regarding the specific case of transport systems, it can be said that those have developed a prominent safety and business critical nature, in view of which current management practices have shown evidence of important limitations in terms of resilience management. Furthermore, enhancing resilience in transport systems is considered imperative for two main reasons: such systems provide critical support to every socio-economic activity and are currently themselves one of the most important economic sectors and secondly, the paths that convey people, goods and information, are the same through which risks are propagated. RESOLUTE is answering those needs, by proposing to conduct a systematic review and assessment of the state of the art of the resilience assessment and management concepts, as a basis for the deployment of an European Resilience Management Guide (ERMG), taking into account that resilience is not about the performance of individual system elements but rather the emerging behaviour associated to intra and inter system interactions. The final goal of RESOLUTE is to adapt and adopt the identified concepts and methods from the defined guidelines for their operationalization and evaluation when addressing Critical Infrastructure (CI) of the Urban Transport System (UTS), through the implementation of the RESOLUTE Collaborative Resilience Assessment and Management Support System (CRAMSS), that adopts a highly synergic approach towards the definition of a resilience model for the next-generation of collaborative emergency services and decision making process.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SST-2007-4.1-02 | Award Amount: 3.33M | Year: 2008
The main objective of INTERACTION project is to identify the patterns of use of in-vehicle technologies by European drivers in everyday life and their long term effects on drivers behaviour and skills in normal and emergency situations. Thus, the project will highlight cultural and individual differences amongst European drivers that influence the nature of drivers interactions in-vehicle technology, and the consequent outcomes of these interactions. To achieve these objectives, a comprehensive research framework to investigate in-vehicle technology use has been developed. This framework is based on an innovative combination of well established research methodologies and technics : focus groups, questionnaire survey, naturalistic observations, and in-depth observations. The purpose of this combined approach is to gather self-reported and observed driver behaviour data and qualitative and quantitative analysis. The target impacts will be the reduction of the risks of systems misuses and of possible human error by drivers. Thus, it will increase the global benefits of in vehicle technology in enhancing road safety. To reach this target, two main operational outcomes will be issued from the knowledge acquired during the project. On the one hand, the knowledge will allow to define actions to strengthen drivers awareness for the use of these technologies and for the consequences that such use has or may have. On the other hand, the knowledge will permit to edit recommendations for the design of future systems and of appropriate instructions for drivers that will use them to favour a safe use of in-vehicle technologies by European drivers.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: GERI-4-2014 | Award Amount: 2.30M | Year: 2016
The overall objective of PLOTINA is to enable the development, implementation and assessment of self-tailored Gender Equality Plans (GEPs) with innovative and sustainable strategies for the Research Performing Organizations (RPOs) involved. This objective will be achieved by: i) Stimulating a gender-aware culture change; ii) Promoting career-development of both female and male researchers to prevent the waste of talent, particularly for women; iii) Ensuring diversification of views and methodologies (in this case by taking into account the gender/sex dimension and analysis) in research and teaching. PLOTINA is a partnership of RPOs, Professional Associations and Partners with specific expertise in monitoring the progress of the project and in the dissemination. The consortium represents the diversity of European RPOs as well as the diversity of European social and cultural environments. The workplan will proceed in four overall stages: i) Assess the current situation in all Partner RPOs; ii) Design GEPs for each RPO, iii) Design, implement and evaluate Actions in the Partner RPOs to address the targets of the GEPs, iv) Create a platform of resources that can be used by RPOs across Europe to implement their own GEPs suited to their own situations. The GEPs Actions will support systemic and sustainable changes at the institutional and departmental of the PLOTINAs RPOs. The end results will be a set of modular and adaptable resources for other RPOs at the starting stage in the setting up of GEPs, in particular: Tools, GEPs Library of Actions, research and teaching Case Studies and Good Practices. Strongly aligned with a European Research Area (ERA) objectives on gender equality, PLOTINA will contribute to increase the number of female researcher, promote their careers and integrate of the gender dimension into the design, evaluation and implementation of research, to enhance its quality and relevance foster excellence and the social value of innovations.
Saadaoui F.,Higher Institute of Management
Computational Statistics and Data Analysis | Year: 2010
EM-type algorithms are popular tools for modal estimation and the most widely used parameter estimation procedures in statistical modeling. However, they are often criticized for their slow convergence. Despite the appearance of numerous acceleration techniques along the last decades, their use has been limited because they are either difficult to implement or not general. In the present paper, a new generation of fast, general and simple maximum likelihood estimation (MLE) algorithms is presented. In these cyclic iterative algorithms, extrapolation techniques are integrated with the iterations in gradient-based MLE algorithms, with the objective of accelerating the convergence of the base iterations. Some new complementary strategies like cycling, squaring and alternating are added to that processes. The presented schemes generally exhibit either fast-linear or superlinear convergence. Numerical illustrations allow us to compare a selection of its variants and generally confirm that this category is extremely simple as well as fast. © 2008 Elsevier B.V. All rights reserved.
Ibrahim H.,Higher Institute of Management
Procedia Engineering | Year: 2014
This study look at antecedents to individual adoption of a fantasy sports website. The authors expanded Davis et al.'s Technology Acceptance Model (TAM) by taking into account both the affective as well as the cognitive dimensions of attitude and the hypothesized internal hierarchy among beliefs, cognition, affect and fantasy sport website. The results indicate that technology complexity leads to a higher Perceived Ease of Use (PEU). Moreover, it has been found that PEU positively impacts cognitive as well as affective attitude toward adoption of fantasy sport website. Attitudes in turns lead to use of fantasy sport league. © 2014 The Authors. Published by Elsevier Ltd.
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2011.6.6 | Award Amount: 407.69K | Year: 2011
DECOMOBIL will take advantage of the structured research network set up in HUMANIST NoE and followed up in HUMANIST VCE, in order to develop and widely disseminate knowledge in the area of human centred design of ICT for sustainable transport. Expected impacts of DECOMOBIL are: widening the market for ICT based mobility and transport services by contributing to the development and the widespread of user-friendly innovative nomadic services, impacting bicycles, public transport and car-sharing use through the understanding of multimodal travelers needs; by setting up design recommendations for the next generation of cooperative systems and improving integrated road transport system; by analysing long term effects and potential impact of ITS deployment on clean and safe multimodal mobility and improvements in efficiency and environmental friendliness of mobility and transport in Europe by improving eco-driving behavior leading to the decrease of vehicles carbon emission for car, bus and trucks and by understanding human behavior critical parameters linked to the implementation of electric mobility system. For this, activities in DECOMOBIL will provide understanding on acceptability and usability of ICT for the population, and setting up design guidelines and recommendations to avoid misuse and to allow user-friendly interaction with ICT functionalities. Through organisation of scientific seminars and international conferences, definition of road mapping for future research priorities, reflection on JRIs, and dedicated structured contributions to the eSafety forum in the framework of the iCar Initiative and any relevant committees in this area, objective of the DECOMOBIL project is to contribute to the acceptability and the usability of ICT for cleaner and safer mobility through identification, discussion and dissemination of updated knowledge and know-how in HMI and Human Centred Design areas towards the ITS community at a European and international level.
Agency: European Commission | Branch: FP7 | Program: MC-ITN | Phase: FP7-PEOPLE-2012-ITN | Award Amount: 3.58M | Year: 2013
In recent years the computational complexity of mathematical models employed in financial mathematics has witnessed a tremendous growth. Advanced numerical techniques are imperative for the most present-day applications in financial industry. The motivation for this training network is the need for a network of highly educated European scientists in the field of financial mathematics and computational science, so as to exchange and discuss current insights and ideas, and to lay groundwork for future collaborations. Besides a series of internationally recognized researchers from academics, leading quantitative analysts from the financial industry also participate in this network. The challenge lies in the necessity of combining complementary techniques and skills such as mathematical analysis, sophisticated numerical methods and stochastic simulation methods with deep qualitative and quantitative understanding of mathematical models arising from financial markets. The main training objective is to prepare, at the highest possible level, young researchers with a broad scope of scientific knowledge and to teach transferable skills, like social awareness which is very important in view of the recent financial crises. The current topic in this network is that the financial crisis in the European countries is a contagion and herding effect and is clearly outside of the domain of validity of Black-Scholes and Mertons theory, since the market is not Gaussian and it is not frictionless and complete. In this research training network our aim is to deeper understand complex (mostly nonlinear) financial models and to develop effective and robust numerical schemes for solving linear and nonlinear problems arising from the mathematical theory of pricing financial derivatives and related financial products. This aim will be accomplished by means of financial modelling, mathematical analysis and numerical simulations, optimal control techniques and validation of models.