A hierarchical, fuzzy inference approach to data filtration and feature prioritization in the connected manufacturing enterprise

In manufacturing, the technology to capture and store large volumes of data developed earlier and faster than corresponding capabilities to analyze, interpret, and apply it. The result for many manufacturers is a collection of unanalyzed data and uncertainty with respect to where to begin. This paper examines big data as both an enabler and a challenge for the connected manufacturing enterprise and presents a framework that sequentially tests and selects independent variables for training applied machine learning models. Unsuitable features are discarded, and each remaining feature receives a crisp numeric output and a linguistic label, both of which are measures of the feature’s suitability. The framework is tested using three datasets employing time series, binary, and continuous input data. Results of filtered models are compared to results obtained by base, unfiltered sets of features using a proposed metric of performance-size ratio. Framework results outperform base feature sets in all tested cases, and the proposed future research will be to implement it in a case study in the electronic assembly manufacture

Neurophysiology

Contains reports on four research projects

La indagación científica como enfoque pedagógico: estudio sobre las prácticas innovadoras de docentes de ciencia en EM (Región de Valparaíso)

RESUMEN: El presente trabajo refiere los resultados de un estudio cualitativo cuyo objetivo fue describir y comprender las prácticas de seis docentes de ciencia en Educación Secundaria que han logrado transformar su enseñanza, aproximándose a un enfoque indagatorio. El enfoque metodológico empleado fue Grounded Theory, el cual se aplicó a la observación de 54 horas (cr.) de clase. El estudio aporta con información descriptiva y comprensiva sobre las características de las prácticas observadas, así como las condiciones que las permiten y las consecuencias que conllevan. Se finaliza discutiendo el impacto que este estudio tiene sobre la formación inicial y continua de docentes de ciencia de Educación Secundaria. ABSTRACT: This research refers the results of a qualitative study which purpose was to describe and understand the teaching practices of six secondary science teachers who have transformed their teaching practice by applying an inquiry approach. The method used was Grounded Theory applied to the observation of 54 class hours (cr.). This research contributes with descriptive and comprehensive information about characteristics of the observed practices, as well as the conditions that allow them and their consequences. Finally, we discuss the implications that this study has on pre-service and in-service secondary science teacher education

Towards Autopoietic Computing

A key challenge in modern computing is to develop systems that address complex, dynamic problems in a scalable and efficient way, because the increasing complexity of software makes designing and maintaining efficient and flexible systems increasingly difficult. Biological systems are thought to possess robust, scalable processing paradigms that can automatically manage complex, dynamic problem spaces, possessing several properties that may be useful in computer systems. The biological properties of self-organisation, self-replication, self-management, and scalability are addressed in an interesting way by autopoiesis, a descriptive theory of the cell founded on the concept of a system's circular organisation to define its boundary with its environment. In this paper, therefore, we review the main concepts of autopoiesis and then discuss how they could be related to fundamental concepts and theories of computation. The paper is conceptual in nature and the emphasis is on the review of other people's work in this area as part of a longer-term strategy to develop a formal theory of autopoietic computing.Comment: 10 Pages, 3 figure

Recent developments and future trends of industrial agents

The agent technology provides a new way to design and engineer control solutions based on the decentralization of control over distributed structures, addressing the current requirements for modern control systems in industrial domains. This paper presents the current situation of the development and deployment of agent technology, discussing the initiatives and the current trends faced for a wider dissemination and industrial adoption, based on the work that is being carried out by the IEEE IES Technical Committee on Industrial Agents

Inference of proto-neutron star properties in core-collapse supernovae from a gravitational-wave detector network

The next Galactic core-collapse supernova (CCSN) will be a unique opportunity to study within a fully multi-messenger approach the explosion mechanism responsible for the formation of neutron stars and stellar-mass black holes. State-of-the-art numerical simulations of those events reveal the complexity of the gravitational-wave emission which is highly stochastic. This challenges the possibility to infer the properties of the compact remnant and of its progenitor using the information encoded in the waveforms. In this paper we take further steps in a program we recently initiated to overcome those difficulties. In particular we show how oscillation modes of the proto-neutron star, highly visible in the gravitational-wave signal, can be used to reconstruct the time evolution of their physical properties. Extending our previous work where only the information from a single detector was used we here describe a new data-analysis pipeline that coherently combines gravitational-wave detectors' data and infers the time evolution of a combination of the mass and radius of the compact remnant. The performance of the method is estimated employing waveforms from 2D and 3D CCSN simulations covering a progenitor mass range between 11$\mathrm{M_{\odot}}$\, and 40$\mathrm{M_{\odot}}$\, and different equations of state for both a network of up to five second-generation detectors and the proposed third-generation detectors Einstein Telescope and Cosmic Explorer. Our study shows that it will be possible to infer PNS properties for CCSN events occurring in the vicinity of the Milky Way, up to the Large Magellanic Cloud, with the current generation of gravitational-wave detectors

Ensayos para rehabilitación de obras de tierra (adobe, tapial)

Resulta patente la necesidad de instaurar una serie de criterios generales que permitan afrontar de un modo normalizado la rehabilitación y construcción de obras ejecutadas con muros de tierra, principalmente adobe y tapial. Con el fin de fomentar la correcta ejecución de estos sistemas constructivos que han dado lugar a notables monumentos a lo largo de la Historia y reconducir procesos anárquicos de autoconstrucción como los que se producen en numerosas zonas de Hispanoamérica. Se pretende desarrollar un estudio de los ensayos geotécnicos que pueden ser aplicables a esta condición estructural de la tierra. Seleccionando aquellos que permitan obtener datos eficientes para una posterior modelización del edificio, calculado mediante programas informáticos de elementos finitos. Basándonos en experiencias previas y en estudios experimentales propios, como el efectuado en la “Hacienda del Quinto”, ubicada en Dos Hermanas (Sevilla). Pretendemos aportar nuevos criterios que completen la elaboración de una futura “Guía para construcción y rehabilitación de obras de tierra”, con el fin de sentar las bases germinales de una normativa nacional sobre muros de tierra, actualmente inexistente.Universidad de Las Palmas de Gran CanariaColegio Oficial de Ingenieros Industriales de CanariasAgencia Canaria de Investigación, Innovación y Sociedad de la Informació