Material parameter extraction in THz-TDS using a converging beam transfer function

We demonstrate a parameter extraction algorithm based on a theoretical transfer function, which takes into account a converging THz beam. Using this, we successfully extract material parameters from data obtained for a quartz sample with a THz time domain spectrometer. © 2010 IEEE.

Language model combination and adaptation using weighted finite state transducers

In speech recognition systems language model (LMs) are often constructed by training and combining multiple n-gram models. They can be either used to represent different genres or tasks found in diverse text sources, or capture stochastic properties of different linguistic symbol sequences, for example, syllables and words. Unsupervised LM adaptation may also be used to further improve robustness to varying styles or tasks. When using these techniques, extensive software changes are often required. In this paper an alternative and more general approach based on weighted finite state transducers (WFSTs) is investigated for LM combination and adaptation. As it is entirely based on well-defined WFST operations, minimum change to decoding tools is needed. A wide range of LM combination configurations can be flexibly supported. An efficient on-the-fly WFST decoding algorithm is also proposed. Significant error rate gains of 7.3% relative were obtained on a state-of-the-art broadcast audio recognition task using a history dependently adapted multi-level LM modelling both syllable and word sequences. ©2010 IEEE.

Saludo a los participantes del Curso de la Rota Romana; procesos matrimoniales, hoy, del 11 al 14 de agosto en la Facultad

Querido hermano: Próximamente tendrá lugar, en esa Pontificia Universidad Católica Argentina, y bajo la dirección del Decano de la Rota Romana, Mons. Pio Vito Pinto, un curso sobre los procesos matrimoniales...

Enhanced transduction methods for electrostatically driven MEMS resonators

Electrically addressed silicon bulk acoustic wave microresonators offer high Q solutions for applications in sensing and signal processing. However, the electrically transduced motional signal is often swamped by parasitic feedthrough in hybrid technologies. With the aim of enhancing the ratio of the motional to feedthrough current at nominal operating voltages, this paper benchmarks a variety of drive and detection principles for electrostatically driven square-extensional mode resonators operating in air and in a foundry MEMS process utilizing 2μm gaps. A new detection technique, combining second harmonic capacitive actuation and piezoresistive detection, outperforms previously reported methods utilizing voltages as low as ± 3V in air providing a promising solution for low voltage CMOS-MEMS integration. ©2009 IEEE.

Enhancing parametric sensitivity using mode localization in electrically coupled mems resonators

We use vibration localization as a sensitive means of detecting small perturbations in stiffness in a pair of weakly coupled micromechanical resonators. For the first time, the variation in the eigenstates is studied by electrostatically coupling nearly identical resonators to allow for stronger localization of vibrational energy due to perturbations in stiffness. Eigenstate variations that are orders of magnitude greater than corresponding shifts in resonant frequency for an induced stiffness perturbation are experimentally demonstrated. Such high, voltagetunable parametric sensitivities together with the added advantage of intrinsic common mode rejection pave the way to a new paradigm of mechanical sensing. ©2009 IEEE.

Automatic transcription of conversational telephone speech

This paper discusses the Cambridge University HTK (CU-HTK) system for the automatic transcription of conversational telephone speech. A detailed discussion of the most important techniques in front-end processing, acoustic modeling and model training, language and pronunciation modeling are presented. These include the use of conversation side based cepstral normalization, vocal tract length normalization, heteroscedastic linear discriminant analysis for feature projection, minimum phone error training and speaker adaptive training, lattice-based model adaptation, confusion network based decoding and confidence score estimation, pronunciation selection, language model interpolation, and class based language models. The transcription system developed for participation in the 2002 NIST Rich Transcription evaluations of English conversational telephone speech data is presented in detail. In this evaluation the CU-HTK system gave an overall word error rate of 23.9%, which was the best performance by a statistically significant margin. Further details on the derivation of faster systems with moderate performance degradation are discussed in the context of the 2002 CU-HTK 10 × RT conversational speech transcription system. © 2005 IEEE.

Revista de Psicología, Vol. 11, Nº 21, 2015

Contenido: Clima emocional, inseguridad y miedo al delito : percepciones diferenciales en función del auto-posicionamiento ideológico / M. Muratori ; E. M. Zubieta -- Análisis de la relación entre optimismo, calidad de vida y estabilidad emocional en personas con cáncer / A. M. Massone ; D. M. Llull -- La carpeta escolar : muestrario de actividades y espejo del esfuerzo asociado a los aprendizajes escolares en jóvenes y adultos / M. C. Facciola ; M. C. Aguilar Rivera -- Autoeficacia académica, burnout académico y desgranamiento universitario / Irene Noemí Karpiuk Chub ; Ricardo Omar Opazo ; Andrea Ivette Gómez -- Incidencia de la matriz de creencias compartidas y la centralidad sociocognitiva en la construcción de significados y formación de consensos / Jorge R. Vivas -- Recensión bibliográfica

Scaling the iHMM: Parallelization versus Hadoop

This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facility computing clouds. The probabilistic model under study is the infinite HMM [1], in which parameters are learnt using an instance blocked Gibbs sampling, with a step consisting of a dynamic program. We apply this model to learn part-of-speech tags from newswire text in an unsupervised fashion. However our focus here is on runtime performance, as opposed to NLP-relevant scores, embodied by iteration duration, ease of development, deployment and debugging. © 2010 IEEE.

Temas de historia argentina y americana, 2007, n° 11 (número completo)

Jansenismo e ilustración católica en Hispanoamérica / Edberto Oscar Acevedo -- El temor brasileño a Rosas y a Oribe / Adriana Mirel Clavijo -- Estado, Universidad y política en la modernización argentina, 1927-1930. El aporte de lo regional al proceso nacional / Miguel Ángel De Marco (h) -- Entre la bilateralidad y las estrategias regionales de política económica. La Argentina y el Cono Sur durante la Segunda Guerra Mundial, 1940-1941 / Beatriz Figallo -- Educación socialista, modernización, modernización científica y organización sindical durante el gobierno de lázaro Cárdenas en México (1934-1940) / Ana María Kapelusz-Poppi -- La universidad y la política en la modernización argentina, 1918-1930 / Hebe Carmen Pelosi -- Los aportes de los investigadores pioneros a la arqueología del Noroeste Argentino / Paola Silva Ramundo -- Reseñas Bibliográficas -- Índices de Temas de Historia Argentina y Americana Números 1 a 10