170,402 research outputs found
): A new, user‐friendly R package for analyses of wildlife telemetry data
No full textAnalyzing wildlife tracking data frequently involves the estimation of home ranges. However, home range studies frequently lack important analytical steps, or only insufficiently report results. This makes it difficult for other researchers to evaluate, compare, and reproduce results from published home-range studies. To facilitate more thorough home-range analyses and reporting of analytical details, we developed a package for the statistical software package R that offers a user-friendly platform for comprehensive home-range analyses. Importantly, the package automatically generates a summary report that contains all analytical parameters used during analyses, and lists the main findings. To improve usability of the package, we also provide a graphical user interface that can be called from R without any programming skills. We currently implemented the calculation of site fidelity, time to statistical independence, minimum convex polygon, kernel density estimation, Brownian Bridge Movement Model, Jennrich-Turner Ellipses, local convex hull, estimation of home range asymptote, and area-independent core-area estimation. (C) 2015 The Wildlife Society
A Concealed t-out-of-n Signer Ambiguous Signature Scheme with a Variety of Keys
No full text[[abstract]]In 2004, Abe et al. proposed a threshold signer-ambiguous signature scheme from variety of keys. Their scheme is a generalized case of the ring signature scheme, and it allows the key types to be based on the trapdoor one-way permutations (TOWP) or sigma-protocols including Schnorr's signature scheme. However, the signed message is public for all, which may result in disputes. In this paper, we present a novel threshold signer-ambiguous signature scheme, having the signed message concealed and keeping who the receivers are secret from variety of keys
The 'auto cannibal'
No full textThe relentless triumph of technology is increasingly dismissive of the human desire for interaction; we are deprived of experiences with the ordinary and become less aware of the potential such objects contain. The author primarily considers art as a means of understanding the world and his practice is based on personal observations and autonomous processes. This can often lead to an over-analysis of the mundane, which is directly confronted in each of my projects through an enthusiasm for the objects we not only take for granted, but do so to the extent that we barely notice their existence. Drawing inspiration from literature, philosophy and ideas which surround permanence in a society which is frequently considered throwaway, the author is influenced by personal insecurities and have developed a creative style that not only explores construction - in the obsessive means by which a work is made; but also one that celebrates the process of destruction - in that the materials the author uses have the potential to instigate their own demise in a process I generally refer to as autocannibalism
A Personal Assistant for Web Database Caching Beat Signer, Antonia Erni, and Moira C. Norrie
No full textTo improve the performance of web database access for regular users, we have developed a client caching agent, referred to as a personal assistant. In addition to caching strategies based on data characteristics and user specification, the personal assistant dynamically prefetches information based on previously monitored user access patterns
Generating data for signer adaptation
No full textIn sign language recognition (SLR), one of the problems is signer adaptation. Different from spoken language, there are lots of 'phonemes' in sign language. It is not convenient to collect enough data to adapt the system to a new signer. A method of signer adaptation with little data for continuous density hidden Markov models (HMMs) is presented. Firstly, hand shapes, positions and orientations that compose all sign words are extracted with clustering algorithm. They are regarded as basic units. Based on a small number of sign words that include these basic units, the adaptation data of all sign words are generated. Statistics are gathered from the generated data and used to calculate a linear regression-based transformation for the mean vectors. To verify the effectiveness of the proposed method, some experiments are carried out on a vocabulary with 350 sign words in Chinese Sign Language (CSL). All basic units of hand shape, position and orientation are found. With these units, we generate the adaptation data of 350 sign words. Experimental results demonstrate that the proposed method has similar performance compared with that using the original samples of 350 sign words as adaptation data. ? 2009 Springer Berlin Heidelberg.EI
[Letter from C. B. Stewart, signer of the Texas Declaration of Independence, to Jesse Grimes, August 22, 1850]
No full textPapers of Jesse Grimes. Letter from C. B. Stewart, signer of the Texas Declaration of Independence, to Jesse Grimes, expressing anti-war sentimen
SEEHEAR: signer diarisation and a new dataset
No full textIn this work, we propose a framework to collect a large-scale, diverse sign language dataset that can be used to train automatic sign language recognition models.The first contribution of this work is SDTrack, a generic method for signer tracking and diarisation in the wild. Our second contribution is SeeHear, a dataset of 90 hours of British Sign Language (BSL) content featuring more than 1000 signers, and including interviews, monologues and debates. Using SDTrack, the SeeHear dataset is annotated with 35K active signing tracks, with corresponding signer identities and subtitles, and 40K automatically localised sign labels. As a third contribution, we provide benchmarks for signer diarisation and sign recognition on SeeHear
Je compte sur vous pour signer ma pétition pour l\u27abolition de la peine de mort ...
No full textSeries: Les Philantropes Du Jour
Published in Le Charivari
Original text: Je compte sur vous pour signer ma pétition pour l\u27abolition de la peine de mort... C\u27est pas assez, m\u27sieu... moi j\u27veux signer une pétition pour l\u27abolition d\u27toutes les punitions.https://commons.und.edu/daumier-prints/1056/thumbnail.jp
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
R Code and Output Supporting "Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation"
No full textSee readme.txt for a description of the files in this repository.This repository contains data and R code (along with associated output from running the code) for fitting resource-selection functions and step-selection functions with random effects, supporting all results reported in:
Muff, S., Signer, J. and Fieberg, J., 2018. Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation. bioRxiv, p.411801.Muff, Stefanie; Signer, Johannes; Fieberg, John R. (2019). R Code and Output Supporting "Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/8bhv-dz98
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