Search results for "computer.software_genre"

SORT-CC: A procedure for the statistical treatment of free sorting data

2008

International audience; A statistical approach for the analysis of free sorting data is discussed. In a first stage, the sorting data from each subject are arranged into a dataset consisting of indicator variables which reflect the memberships of the stimuli to the groups formed by the subject under consideration. Thereafter, an appropriate standardization is applied on these data and a three way statistical method, namely Common Components and Specific Weights Analysis, is performed on the datasets thus obtained. This makes it possible to take account of the individual differences among the subjects and to depict graphical displays showing the relationships among the stimuli on the one han…

Hyperion

2019

Indexes are essential in data management systems to increase the speed of data retrievals. Widespread data structures to provide fast and memory-efficient indexes are prefix tries. Implementations like Judy, ART, or HOT optimize their internal alignments for cache and vector unit efficiency. While these measures usually improve the performance substantially, they can have a negative impact on memory efficiency. In this paper we present Hyperion, a trie-based main-memory key-value store achieving extreme space efficiency. In contrast to other data structures, Hyperion does not depend on CPU vector units, but scans the data structure linearly. Combined with a custom memory allocator, Hyperion…

Correction: The landscape of epilepsy-related GATOR1 variants

2019

International audience; The original version of this article contained an error in the spelling of the author Erik H. Niks, which was incorrectly given as Erik Niks. This has now been corrected in both the PDF and HTML versions of the article.

Sensory methodologies and the taste of water

2009

/WOS: 000285178000010; International audience; Describing the taste of water is a challenge since drinking water is supposed to have almost no taste. In this study, different classical sensory methodologies have been applied in order to assess sensory characteristics of water and have been compared: sensory profiling, Temporal Dominance of Sensations and free sorting task. These methodologies present drawbacks: sensory profile and TDS do not provide an effective discrimination of the taste of water and the free sorting task is efficient but does not enable data aggregation. A new methodology based on comparison with a set of references and named “Polarized Sensory Positioning” (PSP) has bee…

Sort and beer: Everything you wanted to know about the sorting task but did not dare to ask

2011

author cannot archive publisher's version/PDF; International audience; In industries, the sensory characteristics of products are key points to control. The method commonly used to characterize and describe products is the conventional profile. This very efficient method requires a lot of time to train assessors and to teach them how to quantify the sensory characteristics of interest. Over the last few years, other faster and less restricting methods have been developed, such as free choice profile, flash profile, projective mapping or sorting tasks. Among these methods, the sorting task has recently become quite popular in sensory evaluation because of its simplicity: it only requires ass…

Defining sensory descriptors: towards writing rules based on terminology

2007

International audience; Descriptive analysis relies upon the use of sensory descriptors. They are words generally associated to a definition aimed at helping their understanding. However, the writing rules for such definitions remain implicit. The present work is a collaborative attempt from sensory analysts and linguists to get further insight into how definitions are elaborated.Definition formulations were analyzed according to linguistic criteria, syntactic (type and number of nouns, verbs and adjectives) as well as semantic ones (relations of synonymy, metaphor or analogy between the descriptors and their definitions). Such a linguistic analysis was performed on one hundred descriptor d…

Toxic Bios: Toxic Autobiographies—A Public Environmental Humanities Project

2019

Abstract In this article, we present Toxic Bios, a public environmental humanities (EH) project that aims to coproduce, gather, and make visible stories of contamination and resistance. To explain ...

New modes of policy legitimation in education: (Mis)using comparative data to effectuate assessment reform

2017

Identifying three modes of policy legitimation in education, illustrated by shifts in Swedish educational assessment and grading policies over the past decades, the paper demonstrates significant trends with regard to national governments’ policymaking and borrowing. We observe a shift away from collaboracy – defined as policy legitimation located in partnerships and networks of stakeholders, researchers and other experts – towards more use of supranational agencies (called agency), such as the Organisation for Economic Co-operation and Development, the European Union and associated networks, as well as the use of individual consultants and private enterprises (called consultancy) to legiti…

2020

To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate ap-proach to reduce the resource-intensity of human scoring and to achieve more consistent scor-ing results than human raters. The focus is on the comparability of human and automated scor-ing of PCK for economics teachers. The answers of (prospective) teachers (N=852) to six open-response tasks from a standardized and validated test were scored by two trained human raters and the engine "Educational SCoRIng TOolkit" (ESCRITO). The average agreement between human and computer ratings, κw = .66, suggests a convergent …

Cell state prediction through distributed estimation of transmit power

2019

Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…