298 research outputs found

    Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People

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    This paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.This research was partially funded by Fundación Tecnalia Research & Innovation, and J.O.-M. also wants to recognise the support obtained from the EU RFCS program through project number 793505 ‘4.0 Lean system integrating workers and processes (WISEST)’ and from the grant PRX18/00036 given by the Spanish Secretaría de Estado de Universidades, Investigación, Desarrollo e Innovación del Ministerio de Ciencia, Innovación y Universidades

    Entangling non planar molecules via inversion doublet transition with negligible spontaneous emission

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    We analyze theoretically the entanglement between two non-planar and light identical molecules (e.g., pyramidal NH3) that present inversion doubling due to the internal spatial inversion of their nuclear conformations by tunneling. The peculiarity of this system lies in the simplicity of this type of molecular system in which two near levels can be connected by an allowed electric dipole transition with considerable value of the dipole moment transition and negligible spontaneous emission because the transition is in the microwave or far-infrared range. These properties give place to entanglement states oscillating by free evolution with frequency determined by the dipole-dipole interaction and negligible spontaneous decay, which allows consideration of an efficient quantum Zeno effect by frequent measurements of one of the entangled states. If the molecules are initially both in the upper (or lower) eigenstate, the system evolves under an external radiation field, which can induce oscillations of the generated entangled states, with frequency of the order of the Rabi frequency of the field. For a certain detuning, a symmetric entangled state, which is an eigenstate of the collective system, can be populated, and given its negligible spontaneous emission, could be maintained for a time limited only by external decoherence processes, which could be minimized. Although the data used are those of the NH3 molecule, other molecules could present the same advantageous features

    An IoT−based system that aids learning from human behavior: A potential application for the care of the elderly

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    The goal of this paper is to describe the way of taking advantage of the non-intrusive indoor air quality monitoring system by using data oriented modeling technologies to determine specific human behaviors. The specific goal is to determine when a human presence occurs in a specific room, while the objective is to extend the use of the existing indoor air quality monitoring system to provide a higher level aspect of the house usage. Different models have been trained by means of machine learning algorithms using the available temperature, relative humidity and CO2 levels to determine binary occupation. The paper will discuss the overall acceptable quality provided by those classifiers when operating over new data not previously seen. Therefore, a recommendation on how to proceed is provided, as well as the confidence level regarding the new created knowledge. Such knowledge could bring additional opportunities in the care of the elderly for specific diseases that are usually accompanied by changes in patterns of behavior

    Estrategias de desarrollo para la empresa Cal del Centro S.A.C.

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    Cal del Centro S.A.C. es una sociedad anónima cerrada cuyo negocio gira en torno a la actividad económica de la fabricación de cemento, cal y yeso. El objetivo del presente trabajo es evaluar la posibilidad de éxito de un proyecto de inversión en una planta de cal, a través de Cal del Centro S.A.C. –como empresa autosuficiente–, para asegurar el cien por ciento del suministro de óxido de calcio en cantidad y calidad para el procesamiento de concentrados de cobre y el tratamiento de aguas industriales de la empresa Minera Chinalco, así como a las otras industrias mineras localizadas en la zona central de la sierra del Perú

    Proyecto de edificio industrial con puente grúa de 5 toneladas dedicado a la fabricación de perfiles de acero laminado de 1872 m2 situado a Catarroja (Valencia)

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    [ES] En el presente trabajo se diseñará y calculará una nave industrial en el polígono El Bony de Catarroja (Valencia), destinada a la fabricación, tratamiento y almacenaje de perfiles de acero laminado. Dicha estructura ocupa una superficie de 1872 m2 con una luz de 24 metros y una crujía de 6 metros, dando una longitud de 78 metros. Además, está equipada con un puente grúa de 5 toneladas para el transporte de las cargas durante el proceso de fabricación. El diseño de la planta industrial se realiza haciendo uso de programas comerciales: CYPE 3D para el dimensionado de la estructura y la obtención de planos, AutoCAD para la modificación de los planos y Arquímedes para la obtención del presupuesto.Antón Yepes, MÁ. (2019). Proyecto de edificio industrial con puente grúa de 5 toneladas dedicado a la fabricación de perfiles de acero laminado de 1872 m2 situado a Catarroja (Valencia). http://hdl.handle.net/10251/126215TFG

    Disseny eficient de xarxes de transport públic col·lectiu en zones urbanes

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    Aquest treball presenta i valida un mètode de disseny de xarxes de transport públic d’altes prestacions. El mètode proposa diferents esquemes conceptuals de xarxes per idealitzacions geomètriques d'una ciutat particular, que després són adaptades a les condicions reals. Aquests esquemes conceptuals són caracteritzats per mitjà de quatre variables de decisió: la separació de línies, separació de parades, interval de pas i la grandària d’una zona central amb millor cobertura espaial. El millor esquema per a una aplicació específica es tria a través de l'optimització. La funció objectiu es compon de fórmules analítiques per al cost de l’operador i les prestacions als usuaris. El disseny òptim proposat per a la ciutat de Barcelona planteja la utilització d’un terç dels recursos per a oferir un menor temps de viatge en relació a la xarxa actual d’autobusos.Peer Reviewe

    Bus network structure and mobility pattern: a monocentric analytical approach on a grid street layout

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    This study discusses which transit network structure is the best option to serve urban mobility. As a consequence of the evolution of urban form, cities have undergone a process of dispersion of their activities that has caused a change in mobility needs in the last few decades. Mobility networks and services should progressively adapt to the new demand patterns, especially the bus transit network, which has more flexibility to absorb the changes. We compare four base transit network structures: a radial scheme, a direct trip-based network, and a transfer-based system by means of either a complete grid or a hybrid structure. An analytical model is used to estimate the behavior of these structures for idealized monocentric mobility patterns with several degrees of concentration. The purpose is to determine the right range of situations for the applicability of each bus transit structure, and to determine guidelines about the transit network planning process. It turns out that the best structure is not always the same, and depends on the mobility spatial pattern. A radial network is the best alternative in very concentrated cities; however, a direct trip-based system is more suitable for intermediate degrees of dispersion. A transfer-based structure is the best option when the activities are more decentralized. Nevertheless, the decentralization degree that justifies a specific transit structure is not constant. This degree depends on the characteristics of the city, transport technology and users.Peer ReviewedPostprint (author's final draft

    Reviewing and Discussing Graph Reduction in Edge Computing Context

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    Much effort has been devoted to transferring efficiently different machine-learning algorithms, and especially deep neural networks, to edge devices in order to fulfill, among others, real-time, storage and energy-consumption issues. The limited resources of edge devices and the necessity for energy saving to lengthen the durability of their batteries, has encouraged an interesting trend in reducing neural networks and graphs, while keeping their predictability almost untouched. In this work, an alternative to the latest techniques for finding these reductions in networks size is proposed, seeking to figure out a simplistic way to shrink networks while maintaining, as far as possible, their predictability testing on well-known datasets

    Modeling public transportation networks for a circular city: the role of urban subcenters and mobility density

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    The concentration of both employment and services in a specific area of a town generates positive effects, but also impacts (congestion, transit issues, and others). Urban subcenters seek to approach economic activities to residents in peripheral urban spaces. The objective of this research is to evaluate the contribution to the mobility of implementing urban subcenters in a city. The model has a total cost function (users and agency costs) on a circular city (ring and radial routes) formulated using the continuous approximation method. The model solution addresses with mathematical optimization. The model evaluates a BRT network applied to scenarios of urban subcenters. The results of the modeling show that the implementation of subcenters obtains savings of 3.5% in rush hour. Thus, this strategy of urban planning generates improvements in the functioning of a public transportation system. Moreover, the maximum benefits are obtained in medium-sized subcenters in comparison to the CBD, which allows balancing user and agency costs. Therefore, the outcomes may be better with an urban pattern with subcenters, and a transit scheme adapted to the demand needs.The authors are members of BIT-Barcelona Innovative Transportation research group at BarcelonaTech. The work of the first author was also supported by CONICYT PFCHA/BCH 72160291 scholarship. This study had support from the Project 061312MT of the Departamento de Investigaciones Científicas y Tecnológicas (DICYT) of the Vicerrectoría de Investigación, Desarrollo e Innovación of the Universidad de Santiago de Chile (USACH).Peer ReviewedPostprint (published version
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