797 research outputs found
Extracting Multiword Expressions with a Semantic Tagger
No full textAutomatic extraction of multiword expressions (MWE) presents a tough challenge for the NLP community and corpus linguistics. Although various statistically driven or knowledge-based approaches have been proposed and tested, efficient MWE extraction still remains an unsolved issue. In this paper, we present our research work in which we tested approaching the MWE issue using a semantic field annotator. We use an English semantic tagger (USAS) developed at Lancaster University to identify multiword units which depict single semantic concepts. The Meter Corpus (Gaizauskas et al., 2001; Clough et al., 2002) built in Sheffield was used to evaluate our approach. In our evaluation, this approach extracted a total of 4,195 MWE candidates, of which, after manual checking, 3,792 were accepted as valid MWEs, producing a precision of 90.39 % and an estimated recall of 39.38%. Of the accepted MWEs, 68.22 % or 2,587 are low frequency terms, occurring only once or twice in the corpus. These results show that our approach provides a practical solution to MWE extraction
Playing tag in the dark: diagnosing slowness in library response time
No full textIn this article the author explores how the systems department at the Auraria Library (which serves more than thirty thousand primarily commuting students at the University of Colorado-Denver, the Metropolitan State College of Denver, and the Community College of Denver) diagnosed and analyzed slow response time when querying proprietary databases. Issues examined include vendor issues, proxy issues, library network hardware, and bandwidth and network traffic
Nul op de meter: hoe verder met energierenovatie?: Rol van gemeenten voor energierenovaties in wijken
No full textInterview in project rapport 'Nul op de meter: hoe verder met energierenovatie?', p. 44-48Housing Managemen
Comparison of water velocity profiles through morphologically dissimilar seagrasses measured with a simple and inexpensive current meter
No full textThe influence of seagrass morphology on water flow was studied by measuring water velocity profiles through natural seagrass meadows. An array of eight solid-state electronic current meters was used to obtain profiles through meadows of Amphibolis griffithii (Cymodoceaceae), a seagrass which possesses a profusely-branched erect stem with terminal leaf clusters, and two strap-like seagrasses, Posidonia australis and P. sinuosa (Posidoniaceae). Significant differences were observed in the shapes of velocity profiles of the different seagrass species; in particular, a region of high water velocity was observed beneath the leafy canopy of Amphibolis, but not in the Posidonia canopy. There is a strong correlation between the water velocity profile of Amphibolis plants and the distribution of leaf biomass, highlighting the influence of the 'stem-and-leaf cluster' morphology on the velocity profile. The unusual velocity profile of Amphibolis has implications for the ecology of these ecosystems, and sediment stability in particular. The solid-state electronic current meters used in this study were found to be an effective and inexpensive means of measuring water velocity profiles in seagrass canopies
Dynamic Time Warping Clustering to Discover Socioeconomic Characteristics in Smart Water Meter Data
No full textSocioeconomic characteristics are influencing the temporal and spatial variability of water demand, which are the biggest source of uncertainties within water distribution system modeling. Improving current knowledge of these influences can be utilized to decrease demand uncertainties. This paper aims to link smart water meter data to socioeconomic user characteristics by applying a novel clustering algorithm that uses a dynamic time warping metric on daily demand patterns. The approach is tested on simulated and measured single-family home data sets. It is shown that the novel algorithm performs better compared with commonly used clustering methods, both in finding the right number of clusters as well as assigning patterns correctly. Additionally, the methodology can be used to identify outliers within clusters of demand patterns. Furthermore, this study investigates which socioeconomic characteristics (e.g., employment status and number of residents) are prevalent within single clusters and, consequently, can be linked to the shape of the cluster’s barycenters. In future, the proposed methods in combination with stochastic demand models can be used to fill data gaps in hydraulic models.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Water ResourcesSanitary Engineerin
Effects of musical training and culture on meter perception
No full textWestern music is characterized primarily by simple meters, but a number of other musical cultures, including Turkish, have both simple and complex meters. In Experiment 1, Turkish and American adults with and without musical training were asked to detect metrical changes in Turkish music with simple and complex meter. Musicians performed significantly better than nonmusicians, and performance was significantly better on simple meter than on complex meter, but Turkish listeners performed no differently than American listeners. In Experiment 2, members of Turkish classical and folk music clubs who were tested on the same materials exhibited comparable sensitivity to simple and complex meters, unlike the American and Turkish listeners in Experiment 1. Together, the findings reveal important effects of musical training and culture on meter perception: trained musicians are generally more sensitive than nonmusicians, regardless of metrical complexity, but sensitivity to complex meter requires sufficient exposure to musical genres featuring such meters
PERFORMANCE OF A TWO-METER GRILL SPECTROMETER
No full textAuthor Institution: Office National d'\'{E}tudes et de Recherches A\'{e}ronautiquesCurrent work will be reported using an infrared spectrometer which employs a set of two-dimensional transparent and non-transparent zones in place of standard slits. The two-meter spectrometer is in a Littrow mounting using gratings of 300 grooves per mm with a ruled area of . The wavelength coverage of the instrument is from 0.7 to 40 microns. Resolution of 0.05 to has been obtained with gains of luminosity of 130 times over those of conventional spectrometers for this region. The instrument is used in a single beam single-passed mode
A WAVELENGTH METER FOR INFRARED DIODE LASER
No full text1. K. Nagi, K. Kawaguchi, C. Yamada, K. Hayakawa, Y. Takagi, and E. Hirota, J. Mol. Spectrosc. 84, 197 (1980).Author Institution: The Graduate University for Advanced Studies; Shizuoka Institute of Science and Technology; Research Institute for Scientific Measurements, Tohoku University; Research Institute for Scientific Measurements, Optoelectronics Technology Research LaboratoryIn order to facilitate spectroscopy using infrared diode lasers as sources, we have constructed a wavelength meter which readily allows us to determine the wavenumber of a laser line to an accuracy of . This accuracy makes correspondence with reference spectra much easier. The meter is essentially a Michelson interferometer similar to that reported , but its structure has been simplified by employing a liner encoder as a wavelength standard. Counting fringes in this way resulted in wavenumbers with the expected accuracy. We also showed by Fourier transformation of the fringe pattern that we might diagnose the multimode oscillation of a laser diode
Stratigraphic analyses from Lateglacial to late Holocene from sediment core MLC from Moss Lake, Washington, USA
No full textMagnetic susceptibility was measured at room temperature and low frequency (0.47 kHz) using the MS2C scanner of a Bartington Instruments Ltd MS2 meter to determine allochthonous inputs. The measurements were taken for 10 seconds for each 1 cm section.
Organic matter content were estimated via loss-on-ignition (LOI) (heating 550 °C for the organic content
Scaling Up Soft Robotics: A Meter-Scale, Modular, and Reconfigurable Soft Robotic System
No full textToday's use of large-scale industrial robots is enabling extraordinary achievement on the assembly line, but these robots remain isolated from the humans on the factory floor because they are very powerful, and thus dangerous to be around. In contrast, the soft robotics research community has proposed soft robots that are safe for human environments. The current state of the art enables the creation of small-scale soft robotic devices. In this article we address the gap between small-scale soft robots and the need for human-sized safe robots by introducing a new soft robotic module and multiple human-scale robot configurations based on this module. We tackle large-scale soft robots by presenting a modular and reconfigurable soft robotic platform that can be used to build fully functional and untethered meter-scale soft robots. These findings indicate that a new wave of human-scale soft robots can be an alternative to classic rigid-bodied robots in tasks and environments where humans and machines can work side by side with capabilities that include, but are not limited to, autonomous legged locomotion and grasping.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this workLearning & Autonomous Contro
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