4,442 research outputs found
Tool for fast mismatch analysis of analog circuits
A tool is presented that evaluates statistical deviations in performance characteristics of analog circuits, starting from statistical deviations in the technological parameters of MOS transistors. Performance is demonstrated via the analysis of a Miller OTA in two different configurations and a linearized CMOS transconductor. The CPU time is reduced by a factor of 25 to 90 with respect to conventional Monte Carlo simulation, while maintaining similar accuracy in the computations
An advanced symbolic analyzer for the automatic generation of analog circuit design equations
A tool for symbolic analysis of analog integrated circuits is presented featuring accurate simplification, pole/zero extraction, and tools for parametric AC circuit characterization. The program, called ASAP, uses signal flowgraph methods and has been written in C for portability. In its current version, ASAP is able to deal with the complexity levels arising in typical analog building blocks when described by device-level models. The ASAP inputs and outputs, the architecture, and the graphical interface are discussed
Diavideos: a Diabetes Health Video Portal
Diavideos1 is a web platform that collects trustworthy
diabetes health videos from YouTube and offers them in a easy
way. YouTube is a big repository of health videos, but good
content is sometimes mixed with misleading and harmful
videos such as promoting anorexia [1].Diavideos is a web
portal that provides easy access to a repository of trustworthy
diabetes videos. This poster describes Diavideos and explains
the crawling method used to retrieve these videos from trusted
channels
Benchmarking Particle Filter Algorithms for Efficient Velodyne-Based Vehicle Localization
Keeping a vehicle well-localized within a prebuilt-map is at the core of any autonomous vehicle navigation system. In this work, we show that both standard SIR sampling and rejection-based optimal sampling are suitable for efficient (10 to 20 ms) real-time pose tracking without feature detection that is using raw point clouds from a 3D LiDAR. Motivated by the large amount of information captured by these sensors, we perform a systematic statistical analysis of how many points are actually required to reach an optimal ratio between efficiency and positioning accuracy. Furthermore, initialization from adverse conditions, e.g., poor GPS signal in urban canyons, we also identify the optimal particle filter settings required to ensure convergence. Our findings include that a decimation factor between 100 and 200 on incoming point clouds provides a large savings in computational cost with a negligible loss in localization accuracy for a VLP-16 scanner. Furthermore, an initial density of ∼2 particles/m 2 is required to achieve 100% convergence success for large-scale (∼100,000 m 2 ), outdoor global localization without any additional hint from GPS or magnetic field sensors. All implementations have been released as open-source software
Brain oscillations in a random neural network
[EN] It is well-known that rhythmic patterns of neural activity appear both in the normal and abnormal function of the brain. Apart from the standard bands of electric oscillations found in the electroencephalogram (EEG): from alpha (8-12 Hz) to delta waves (1-4 Hz), synchronized firing of neural populations characterize some complex cognitive functions such as memory, attention and consciousness. In the case of electrocardiogram (ECG) it is usually recognized that oscillations can be understood as the limit cycle of an underlying non-linear process in heart dynamics. However, the situation is not so clear for EEG and the origin and purpose of neural oscillations are still the subject of a heated debate.
Our model is a version of the standard SIRS model from epidemiology in which susceptible, infected and recovered sites represent quiescent, firing and refractory neurons, respectively. Here we show that, in a SIRS random network epidemic model for neural activity, self-sustained oscillations appear in a restricted parameter region of the transition probabilities. This could explain the role of synchronized oscillations as a discriminant process for internal or external stimuli in brain dynamics. (C) 2011 Elsevier Ltd. All rights reserved.This work was supported by grant from the Universidad Politecnica de Valencia PAID-06-09 ref: 2588 and FIS Research Grant PI10/01433 from the Instituto de Salud Carlos III.Acedo Rodríguez, L.; Moraño Fernández, JA. (2013). Brain oscillations in a random neural network. Mathematical and Computer Modelling. 57(7-8):1768-1772. https://doi.org/10.1016/j.mcm.2011.11.02817681772577-
Global design of analog cells using statistical optimization techniques
We present a methodology for automated sizing of analog cells using statistical optimization in a simulation based approach. This methodology enables us to design complex analog cells from scratch within reasonable CPU time. Three different specification types are covered: strong constraints on the electrical performance of the cells, weak constraints on this performance, and design objectives. A mathematical cost function is proposed and a bunch of heuristics is given to increase accuracy and reduce CPU time to minimize the cost function. A technique is also presented to yield designs with reduced variability in the performance parameters, under random variations of the transistor technological parameters. Several CMOS analog cells with complexity levels up to 48 transistors are designed for illustration. Measurements from fabricated prototypes demonstrate the suitability of the proposed methodology
Participación de los actores sociales en el presupuesto participativo año 2017, del distrito de Sabandía, Arequipa Perú
La presente tesis analiza la participación de los Actores Sociales en el proceso
de formulación del Presupuesto Participativo 2017 del distrito de Sabandía,
provincia y región de Arequipa; en el marco del proceso que refuerza las
relaciones entre la sociedad organizada en actores sociales y el Estado, a partir
del marco normativo de leyes y regulaciones administrativas. Sabandía, forma
parte del territorio de la macro región sur del país; distribuida en áreas urbanas y
rurales, donde el ejercicio de sus derechos ciudadanos y el impacto gravitante
que tienen sobre el desarrollo local, hace de ella un espacio idóneo para realizar
el presente trabajo de investigación; utilizó un enfoque cualitativo, basado en el
análisis de experiencias de incidencia; forma tres categorías integradas por
organizaciones sociales de la sociedad civil, actores gubernamentales y actores
privados, lo que facilita el entendimiento del aporte de los actores sociales
atreves de los espacios de participación y acción pública constituidos por los
Consejos de Coordinación Local Distrital - CCL, Comité de vigilancia del
Presupuesto Participativo, las juntas de delegados vecinales y los grupos de
iniciativa ciudadana. Se realizaron 73 entrevistas a profundidad y el análisis de
10 experiencias de participantes en 2 focus group; lo que posibilito a partir de
sus historias de vida estudiar las diferentes condicionantes sociales tales como
los económicos, políticos y culturales; y su impacto en el desarrollo local. El
análisis permite concluir que existe un interés entre los actores sociales de
participar activamente de los procesos de formulación en el presupuesto
participativo; el poco acceso a información y a las capacitaciones son una
limitante importante para una participación eficiente y efectiva, con el objetivo de
aportar a una gestión municipal eficaz; razón para contar con un proceso de
capacitación anual continuo sobre temas de participación, desarrollo,
gobernabilidad y presupuesto, así impulsar la participación ciudadana del distrito.Tesi
Material culture and rural society.Tierra de Campos 1600-1850
[ES] El análisis de los bienes materiales-culturales relativos a las condiciones de vida que
registran los inventarios post-mortem posibilita el acercamiento a las pautas de consumo y a la propia
estructura social de las comunidades rurales durante la Edad Moderna. Dentro de esta cultura de las cosas
cotidianas, los distintivos materiales observados en la comarca de Tierra de Campos, en torno a Melgar de
Arriba (Valladolid), nos muestran las claves de la estratificación de la sociedad y las distintas velocidades
por las que transita el proceso civilizatorio en el mundo rural castellano, donde por encima de la gran masa
popular que vive más anclada en la tradición siempre encontramos una minoritaria élite que exhibe un
estilo de vida mucho más abierto e innovador.[EN] The analysis of the material and cultural assets relating to living conditions that record
post-mortem inventories makes possible to know the consumption patterns and the social structure of rural
communities during the Modern Age. In this culture of daily things, the most common assets observed in the
region of Tierra de Campos, around Melgar de Arriba (Valladolid), show us the keys of the stratification of the
society, and the different times in the process of civilization in the Castilla’s rural communities, where above
the popular crowd, that is more traditional, we always find a minority elite that has a more advanced lifestyle
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