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Brown S.,MIS | Dennis A.,Indiana University | Venkatesh V.,University of Arkansas
Journal of Management Information Systems | Year: 2010

The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to UTAUT) to explain the adoption and use of collaboration technology. We theorize that collaboration technology characteristics, individual and group characteristics, task characteristics, and situational characteristics are predictors of performance expectancy, effort expectancy, social influence, and facilitating conditions in UTAUT. We further theorize that the UTAUT constructs, in concert with gender, age, and experience, predict intention to use a collaboration technology, which in turn predicts use. We conducted two field studies in Finland among (1) 349 short message service (SMS) users and (2) 447 employees who were potential users of a new collaboration technology in an organization. Our model was supported in both studies. The current work contributes to research by developing and testing a technology-specific model of adoption in the collaboration context. © 2010 M.E. Sharpe, Inc. Source

Shivling V.D.,CSIR - Central Electrochemical Research Institute | Goap A.,MIS | Ghanshyam C.,CSIR - Central Electrochemical Research Institute | Sharma S.K.,JNU | And 3 more authors.
2015 IEEE International Conference on Computer Graphics, Vision and Information Security, CGVIS 2015 | Year: 2015

Picrorhiza Kurroa (Kutki) is the crop grown in India which we are analyzing here in Himalayan region. Farmers face a great loss of production as well as economic loss due to the disease in plants or may be pest attacks on immense level. So, they use pesticides and fertilizers for better crop growth but these chemicals harm the crops in excess quantity. And also inhaling of these chemicals leads to liver disorder, asthma, cancer etc. The use of pesticides can be reduced with the help of forecasting of diseases and pest infection in limited time framework. So in this paper we are presenting the development of system using beta regression model for early warning plant protection and pest control. This system also has a mechanism to alert farmers via email/Short Message Service (SMS) technology regarding the plant disease of Picrorhiza Kurroa (kutki) plant. © 2015 IEEE. Source

Brigui-Chtioui I.,Griisg Institute Superieur Of Gestion | Saad I.,MIS
WMSCI 2010 - The 14th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings | Year: 2010

In this paper we propose an argumentative multiagent model based on a mediator agent in order to automate the resolution of conflicts between decision makers for identifying knowledge that need to be capitalized and that we call "crucial knowledge". We follow both an argumentative approach and a multi-agent system based on a mediator agent. This new approach allows the mediator agent to elicit preference of decision makers which can be different or even contradictory while exploiting and managing their multiple points of view to identify crucial knowledge. Concrete experiments have been conducted on real data from an automotive company and on randomly generated data. We have observed that a non-argumentative approach is more sensitive to the variation of the number of knowledge than an argumentative one. Indeed, the classification results using the multiagent system are consistent with classifications of human decision makers in nearly 80% of studied cases. Source

Magnier B.,Montpellier University | Comby F.,Montpellier University | Strauss O.,Montpellier University | Triboulet J.,Montpellier University | Demonceaux C.,MIS
2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings | Year: 2010

This article presents a new method for estimating the pose of para-catadioptric vision systems. It is based on the estimation of vanishing points associated with vertical edges of the environment. However, unlike classical approaches no feature (line, circle) extraction and/or identification is needed. A sampled domain of possible vanishing points is tested and histograms are build to characterize the soundness of these points. A specificity index allows to find the more relevant histogram and the pose of the sensor. This method has been tested on simulated and real images giving very promising results (maximum angular error of 0.18 degree). © 2010 IEEE. Source

Vergnaud A.,LISA | Beaugrand G.,LISA | Gaye O.,MIS | Perez L.,LTN | And 2 more authors.
2014 European Control Conference, ECC 2014 | Year: 2014

In this communication, the investigated study deals with on-line parametric identification in a one-dimensional thermal system. The main objective is the determination of the temperature-dependent thermal conductivity considering noisy temperature measurements. In such a way, the identification problem is written as a minimization one. Since inverse heat conduction problems are ill-posed, a regularization method has to be numerically implemented. Thus, the conjugate gradient method (a well-known iterative regularization method) has been adapted for on-line purposes. © 2014 EUCA. Source

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