369 research outputs found
BIMBOT (Inteligencia artificial aplicada al diseño con BIM)
No full text[EN] BIMBOT is an intelligent design assistant for AEC industry. Its toolset runs on a BIM modelling software and produces a series of design solutions through optimised BIM models. It works with the use of advanced artificial intelligence (AI) methods (soft computing optimisation and machine learning) and supported by NoSQL databases. BIMBOT works in several stages:First, the definition of constraints/priorities established by the user runs a generative design process boosted by several AI methods. It creates different solutions on BIM models stored and refined from a catalogue of intelligent objects. So, an interactive process begins in which the users may import BIM models with proposed designs, create or edit them on-the-fly and get assisted by a series of configurable metrics that drive the quality of the design according to the initial preferences. So, we get a complete BIM project as a result of the iterative process. Finally, the continuous training of the algorithms will improve the efficiency in future designs.BIMBOT is conceived to extend the skills designers through software development BIM allowing them to be more productive in complex tasks in their design process.BIMBOT is funded by the European Eureka/Eurostars program (E!12863).[ES] BIMBOT es un asistente de diseño inteligente para la industria AEC. Sus herramientas se ejecutan sobre un software de modelado BIM y producen varias soluciones de diseño con modelos BIM optimizados. Funciona con el uso de métodos avanzados de Inteligencia Artificial (optimización soft computing y Machine Learning) y es compatible con bases de datos NoSQL. Contempla varias etapas: La definición por el usuario de restricciones / prioridades establecidas ejecuta un proceso de diseño generativo impulsado por varios métodos de IA. Éste crea diferentes soluciones en modelos BIM almacenados y refinados a partir de un catálogo de objetos inteligentes. Con ello, los usuarios pueden interactuar importando modelos BIM con diseños propuestos, crearlos o editarlos in situ y recibir asistencia de una serie de métricas configurables que dan calidad al diseño de acuerdo con las preferencias iniciales. Así, obtenemos un Modelo BIM completo como resultado del proceso iterativo. Finalmente, el entrenamiento continuo de los algoritmos mejorará la eficiencia en futuros diseños. BIMBOT está concebido para extender las habilidades de los diseñadores a través del desarrollo de software BIM, permitiéndoles ser más productivos en tareas complejas del proceso de diseño. BIMBOT está financiado por el programa europeo Eureka / Eurostars (E! 12863).BIMBOT is funded by the European Eureka/Eurostars program (E!12863)Frías, C.; Peña, JM.; Sánchez, É.; Almeida, L. (2020). BIMBOT-(Artificial intelligence applied to BIM design). EGE Revista de Expresión Gráfica en la Edificación. 0(12):45-60. https://doi.org/10.4995/ege.2020.13942OJS456001
LES PROGRAMMES EXPERIMENTAUX AUPRES DU SYNCHROCYCLOTRON D'ORSAY
No full textLes programmes expérimentaux auprès du S.C. d'Orsay ont commencé il y a un an environ. L'accélérateur est une machine stable mais présentant quelques défauts de jeunesse. De nombreuses voies de recherches amorcées avec un certain succès sont décrites ci-dessous
A bin-per-bin dead-time control technique for time-of-flight measurements in the G0 experiment: The differential buddy
No full textPHASEThe general principle is presented. The application to the G0 experiment [1] was enabled by the specificity of the time encoding ASIC component. On the poster, some encountered difficulties are exposed, together with a possible software remedy. An internal report is in preparation [2
Segmenting DNA sequence into words based on statistical language model
No full textThis paper presents a novel method to segment/decode DNA sequences based on n-gram statistical language model. Firstly, we find the length of most DNA “words” is 12 to 15 bps by analyzing the genomes of 12 model species. The bound of language entropy of DNA sequence is about 1.5674 bits. After building an n-gram biology languages model, we design an unsupervised ‘probability approach to word segmentation’ method to segment the DNA sequences. The benchmark of segmenting method is also proposed. In cross segmenting test, we find different genomes may use the similar language, but belong to different branches, just like the English and French/Latin. We present some possible applications of this method at last
Text independent speaker identification on noisy environments by means of self organizing maps
No full textWe propose an architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on self organizing maps (SOM) (T. Kohonen, 1984). We compare the performance of this architecture for different parametrizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic harmonic spherity measure on covariance matrices (F. Bimbot and L. Mathan, 1993; J. Hernando et al., 1994)Peer Reviewe
Text independent speaker identification on noisy environments by means of self organizing maps
No full textWe propose an architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on self organizing maps (SOM) (T. Kohonen, 1984). We compare the performance of this architecture for different parametrizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic harmonic spherity measure on covariance matrices (F. Bimbot and L. Mathan, 1993; J. Hernando et al., 1994)Peer ReviewedPostprint (published version
CURRENT STATUS OF THE G0 PARITY VIOLATION EXPERIMENT CARRIED OUT AT JEFFERSON LABORATORY
No full textAmong experiments looking for strangeness in nuclear systems, electron scattering Parity-Violation (PV) type experiments aim mainly at measuring the strange quark contributions to the form factors of the proton. They can be accessed by measuring the asymmetry in longitudinally polarized electron elastic scattering. The PV asymmetry is measured at the 10-7 level of accuracy, and when combined with the electromagnetic form factors of the nucleon, the strange form factors can be determined. The full separation of form factors according to quark flavour requires measurements at forward angles on hydrogen and at backward angles on hydrogen and deuterium. The experimental setup used for G0 in the two different configurations is described. The status of the analysis and the current results are presented and discussed in relation with other experiments past and planned. A few comments are also made regarding some other aspects of physics accessible in simultaneous measurements: neutral currents in NΔ transitions, parity violation in inclusive π- production and 2γ contributions to elastic scattering
CURRENT STATUS OF THE G0 PARITY VIOLATION EXPERIMENT CARRIED OUT AT JEFFERSON LABORATORY
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