130,616 research outputs found
Roggen (D.), [professeur à l'Université de Gand] — Les origines de Klaas Sluter, extrait des Annales de Bourgogne, 1932, Fascicule 4
No full textGavelle Émile. Roggen (D.), [professeur à l'Université de Gand] — Les origines de Klaas Sluter, extrait des Annales de Bourgogne, 1932, Fascicule 4. In: Revue du Nord, tome 19, n°74, mai 1933. pp. 166-168
Roggen (D.), [professeur à l'Université de Gand] — Les origines de Klaas Sluter, extrait des Annales de Bourgogne, 1932, Fascicule 4
No full textGavelle Émile. Roggen (D.), [professeur à l'Université de Gand] — Les origines de Klaas Sluter, extrait des Annales de Bourgogne, 1932, Fascicule 4. In: Revue du Nord, tome 19, n°74, mai 1933. pp. 166-168
Network-Level Power-Performance Trade-Off in Wearable Activity Recognition: A Dynamic Sensor Selection Approach
No full textWearable gesture recognition enables context aware applications and unobtrusive HCI. It is realized by
applying machine learning techniques to data from on-body sensor nodes. We present an gesture recognition
system minimizing power while maintaining a run-time application defined performance target through
dynamic sensor selection.
Compared to the non managed approach optimized for recognition accuracy (95% accuracy), our technique
can extend network lifetime by 4 times with accuracy >90% and by 9 times with accuracy >70%. We
characterize the approach and outline its applicability to other scenarios
Network-Level Power-Performance Trade-Off in Wearable Activity Recognition: A Dynamic Sensor Selection Approach
No full textWearable gesture recognition enables context aware applications and unobtrusive HCI. It is realized by
applying machine learning techniques to data from on-body sensor nodes. We present an gesture recognition
system minimizing power while maintaining a run-time application defined performance target through
dynamic sensor selection.
Compared to the non managed approach optimized for recognition accuracy (95% accuracy), our technique
can extend network lifetime by 4 times with accuracy >90% and by 9 times with accuracy >70%. We
characterize the approach and outline its applicability to other scenarios
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Service discovery and composition in body area networks
No full textIn pervasive environments, Body Area Networks (BANs) are characterized by the mobility of their users. BANs can continuously interact with each other, thus enabling the provision of new applications and services at runtime. New complex services can be provided by composing simpler services available on neighbouring network nodes. However, since the topology of BANs is continuously changing due to users' movements, it is unfeasible to specify a-priori all possible configurations under which a given complex service can be composed. In order to address this issue, we introduce a two--layered service discovery and composition architecture, that proactively notifies a distributed service directory with changes in service availability. In order to cope with the network mobility and intermittent connectivity, our approach is to cluster nodes in the sensor network based on their connectivity patterns. We use a multi--agent state machine to recognize the availability of complex services and to provide them. Our solution is validated by a prototype implementation of our architecture, by the study of the statistical model of complex services, and by experimental evaluations
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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