Implementación de las nuevas técnicas de levantamiento en el sistema BIM (Building Information Modeling)

Los modelos infográficos 3D han facilitado en gran medida la visualización y el análisis de la arquitectura, permitiendo que tanto el diseñador como el usuario puedan explorar el modelo de manera virtual. Actualmente lo que se persigue es implantar una nueva metodología más eficiente basada en un modelo de información del edificio representado, que facilite la gestión interdisdiciplinar y la transmisión de datos. Este procedimiento es internacionalmente conocido como Tecnología BIM. El sector AEC (Architecture Engineering Construction) se mueve actualmente en un entorno cambiante en el cual se nos exige trabajos mejores coordinados y productivos. La tecnología BIM puede contribuir a que el técnico desempeñe su trabajo de manera más eficaz en un campo tecnológico de continuos avances y que requiere de equipos multidisciplinares especializados. Por otro lado, las últimas técnicas de levantamiento arquitectónico y de manipulación de la imagen digital que están a nuestro alcance hacen que nos replanteemos una metodología de trabajo distinta a la actual. El uso de los últimos avances en técnicas de medición es fundamental tanto para la correcta representación del edificio construido, como para el análisis y diagnóstico en los trabajos de intervención y mantenimiento. Teniendo en cuenta las consideraciones anteriores, la comunicación pretende mostrar trabajos de auscultación y toma de medidas de edificios existentes para generar un modelo de información o BIM, empleando las tecnologías existentes más innovadoras para la adquisición de información geométrica del edificio existente: la fotogrametría y el escaneo por tecnología láser.The models infográficos 3D have facilitated to a great extent the visualization and the analysis of the architecture, allowing that both the designer and the user could explore the model of a virtual way. Currently if the aim is to introduce a new efficient methodology based on a building information model represented interdisdiciplinar to facilitate the management and transmission of data. This has been internationally established with Terms of BIM technology. The AEC (Architecture Engineering Construction) is currently moving in a changing environment in which we are required coordinated and productive work best. The BIM technology can help the technician to perform their work more effectively in a technical field of continuous progress and requires specialized multidisciplinary teams. Moreover, recent architectural survey techniques and digital image manipulation that are within our reach make us rethink a work methodology different from today. Using the latest advances in measurement techniques is essential for the correct representation of the purpose built for the analysis and diagnosis in the intervention and maintenance work. 2 Given the above considerations , communication aims to show work auscultation and taking measurements of existing buildings to generate an information model or BIM using existing innovative for the acquisition of geometric information of the existing building technologies : the photogrammetry and laser scanning technology

Energy solvency. A new concept to prevent energy poverty in Spain.

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A Hybrid Parameterization Technique for Speaker Identification

Classical parameterization techniques for Speaker Identification use the codification of the power spectral density of raw speech, not discriminating between articulatory features produced by vocal tract dynamics (acoustic-phonetics) from glottal source biometry. Through the present paper a study is conducted to separate voicing fragments of speech into vocal and glottal components, dominated respectively by the vocal tract transfer function estimated adaptively to track the acoustic-phonetic sequence of the message, and by the glottal characteristics of the speaker and the phonation gesture. The separation methodology is based in Joint Process Estimation under the un-correlation hypothesis between vocal and glottal spectral distributions. Its application on voiced speech is presented in the time and frequency domains. The parameterization methodology is also described. Speaker Identification experiments conducted on 245 speakers are shown comparing different parameterization strategies. The results confirm the better performance of decoupled parameterization compared against approaches based on plain speech parameterization

AMISEC: Leveraging Redundancy and Adaptability to Secure AmI Applications

Security in Ambient Intelligence (AmI) poses too many challenges due to the inherently insecure nature of wireless sensor nodes. However, there are two characteristics of these environments that can be used effectively to prevent, detect, and confine attacks: redundancy and continuous adaptation. In this article we propose a global strategy and a system architecture to cope with security issues in AmI applications at different levels. Unlike in previous approaches, we assume an individual wireless node is vulnerable. We present an agent-based architecture with supporting services that is proven to be adequate to detect and confine common attacks. Decisions at different levels are supported by a trust-based framework with good and bad reputation feedback while maintaining resistance to bad-mouthing attacks. We also propose a set of services that can be used to handle identification, authentication, and authorization in intelligent ambients. The resulting approach takes into account practical issues, such as resource limitation, bandwidth optimization, and scalability

Glottal Biometric Features: Are Pathological Voice Studies appliable to Voice Biometry?

The purpose of the present paper is to introduce a methodology successfully used already in voice pathology detection for its possible adaptation to biometric speaker characterization as well. For such, the behavior of the same GMM classifiers used in the detection of pathology will be exploited. The work will show specific cases derived from running speech typically used in NIST contests against a Universal Background Model built from the population of normophonic subjects in specific vs general evaluation paradigms. Results are contrasted against a set of impostors derived from the same population of normophonic subjects. The relevance of the parameters used in the study will also be discusse

Estimating tremor in Vocal Fold Biomechanics for Neurological Disease characterisation

Neurological Diseases (ND) are affecting larger segments of aging population every year. Treatment is dependent on expensive accurate and frequent monitoring. It is well known that ND leave correlates in speech and phonation. The present work shows a method to detect alterations in vocal fold tension during phonation. These may appear either as hypertension or as cyclical tremor. Estimations of tremor may be produced by auto-regressive modeling of the vocal fold tension series in sustained phonation. The correlates obtained are a set of cyclicality coefficients, the frequency and the root mean square amplitude of the tremor. Statistical distributions of these correlates obtained from a set of male and female subjects are presented. Results from five study cases of female voice are also given

Red maca (Lepidium meyenii) reduced prostate size in rats

BACKGROUND: Epidemiological studies have found that consumption of cruciferous vegetables is associated with a reduced risk of prostate cancer. This effect seems to be due to aromatic glucosinolate content. Glucosinolates are known for have both antiproliferative and proapoptotic actions. Maca is a cruciferous cultivated in the highlands of Peru. The absolute content of glucosinolates in Maca hypocotyls is relatively higher than that reported in other cruciferous crops. Therefore, Maca may have proapoptotic and anti-proliferative effects in the prostate. METHODS: Male rats treated with or without aqueous extracts of three ecotypes of Maca (Yellow, Black and Red) were analyzed to determine the effect on ventral prostate weight, epithelial height and duct luminal area. Effects on serum testosterone (T) and estradiol (E2) levels were also assessed. Besides, the effect of Red Maca on prostate was analyzed in rats treated with testosterone enanthate (TE). RESULTS: Red Maca but neither Yellow nor Black Maca reduced significantly ventral prostate size in rats. Serum T or E2 levels were not affected by any of the ecotypes of Maca assessed. Red Maca also prevented the prostate weight increase induced by TE treatment. Red Maca administered for 42 days reduced ventral prostatic epithelial height. TE increased ventral prostatic epithelial height and duct luminal area. These increases by TE were reduced after treatment with Red Maca for 42 days. Histology pictures in rats treated with Red Maca plus TE were similar to controls. Phytochemical screening showed that aqueous extract of Red Maca has alkaloids, steroids, tannins, saponins, and cardiotonic glycosides. The IR spectra of the three ecotypes of Maca in 3800-650 cm (-1) region had 7 peaks representing 7 functional chemical groups. Highest peak values were observed for Red Maca, intermediate values for Yellow Maca and low values for Black Maca. These functional groups correspond among others to benzyl glucosinolate. CONCLUSIONS: Red Maca, a cruciferous plant from the highland of Peru, reduced ventral prostate size in normal and TE treated rats

BioMet®Tools: from modeling and simulation to product design and development

BioMet®Tools is a set of software applications developed for the biometrical characterization of voice in different fields as voice quality evaluation in laryngology, speech therapy and rehabilitation, education of the singing voice, forensic voice analysis in court, emotional detection in voice, secure access to facilities and services, etc. Initially it was conceived as plain research code to estimate the glottal source from voice and obtain the biomechanical parameters of the vocal folds from the spectral density of the estimate. This code grew to what is now the Glottex®Engine package (G®E). Further demands from users in medical and forensic fields instantiated the development of different Graphic User Interfaces (GUI’s) to encapsulate user interaction with the G®E. This required the personalized design of different GUI’s handling the same G®E. In this way development costs and time could be saved. The development model is described in detail leading to commercial production and distribution. Study cases from its application to the field of laryngology and speech therapy are given and discussed

BioMet®Phon: A system to monitor phonation quality in the clinics

BioMet®Phon is a software application developed for the characterization of voice in voice quality evaluation. Initially it was conceived as plain research code to estimate the glottal source from voice and obtain the biomechanical parameters of the vocal folds from the spectral density of the estimate. This code grew to what is now the Glottex®Engine package (G®E). Further demands from users in laryngology and speech therapy fields instantiated the development of a specific Graphic User Interface (GUI’s) to encapsulate user interaction with the G®E. This gave place to BioMet®Phon, an application which extracts the glottal source from voice and offers a complete parameterization of this signal, including distortion, cepstral, spectral, biomechanical, time domain, contact and tremor parameters. The semantic capabilities of biomechanical parameters are discussed. Study cases from its application to the field of laryngology and speech therapy are given and discussed. Validation results in voice pathology detection are also presented. Applications to laryngology, speech therapy, and monitoring neurological deterioration in the elder are proposed