600 research outputs found

    Limit theorems for number of diffusion processes which did not absorb by boundaries

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    We have random number of independent diffusion processes with absorption on boundaries in some region at initial time t=0t=0. The initial numbers and positions of processes in region is defined by Poisson random measure. It is required to estimate of number of the unabsorbed processes for the fixed time \~τ>0\tau>0. The Poisson random measure depends on τ\tau and τ\tau\to\infty

    Limit theorems for rarefaction of set of diffusion processes by boundaries

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    This paper is devoted to the study of the following problem. We have set of diffusion processes with absorption on boundaries in some region at initial time t=0t=0. It is required to estimate of number of the unabsorbed processes for the fixed time ~τ>0\tau>0. The number of initial processes is considered as function of τ\tau and τ\tau\to\infty.Comment: 11 page

    KALMAN FILTERS AND ARMA MODELS

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    The Kalman filter is the celebrated algorithm giving a recursive solution of the prediction problem for time series. After a quite general formulation of the prediction problem, the contributions of its solution by the great mathematicians Kolmogorov and Wiener are shorthly recalled and it is showed as Kalman filter furnishes the optimal predictor, in the sense of least squares, for processes which satisfy the linear models with a finite number of parameters, that are the ARMA models

    Heisenberg Uncertainty Relations as Statistical Invariants

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    For a simple set of observables we can express, in terms of transition probabilities alone, the Heisenberg Uncertainty Relations, so that they are proven to be not only necessary, but sufficient too, in order for the given observables to admit a quantum model. Furthermore distinguished characterizations of strictly complex and real quantum models, with some ancillary results, are presented and discussed.Comment: Enhanced and revised paper purged from a blunder as wel

    CRISTINA LA YEGUA La misoginia del poder masculino : La degradación de lo femenino en la política

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    El contexto histórico del surgimiento publico del calificativo de Cristina la yegua se sitúa a comienzos del 2008 cuando las cuatro organizaciones que reúnen al sector empresario de producción agro-ganadera en la argentina, protestaron con un paro o lock out o bloqueo de rutas, contra la resolución del gobierno de la reciente electa Presidenta de la Nación Sra. Cristina Fernández de Kirchner de incrementar las retenciones a las exportaciones de soja y girasol y establecer un sistema móvil mediante la resolución que se denomino la 125. La medida patronal se extendió por 129 días, desde el 11 de marzo hasta el 18 de julio del mismo año, y culminó con la derogación de la resolución. Durante este tiempo las patronales agropecuarias declararon una serie de medidas con el fin de interrumpir algunas actividades económicas de sus asociados, así como el transporte interurbano y las exportaciones agrarias, realizando cierres patronales (lock out), bloqueos de rutas y puertos y otras medidas de acción directa. Posteriormente, al conflicto se le sumó un paro de los empresarios transportistas con bloqueo de rutas, que agravó la situación y el abastecimiento de las ciudades. El proceso se politizó rápidamente y el oficialismo y sectores cercanos a éste, como la Federación Trabajo y Vivienda de la Central de los Trabajadores Argentinos (CTA), liderada por Luís D’Elía, y la Asociación Madres de Plaza de Mayo, acusaron a los dirigentes ruralistas, al ex-presidente Eduardo Duhalde y al multimedia Clarín de buscar la desestabilización del gobierno con el fin de provocar la caída de la presidenta Cristina Fernández de Kirchner. Dichas acusaciones fueron negadas por uno de los líderes del paro ruralista, Alfredo de Angeli, de la Federación Agraria Argentina, quien aseguró que las medidas de fuerza fueron pacíficas y que no buscaban desestabilizar al gobierno, Sosteniendo también que «el gobierno promueve un golpe porque no sabe cómo arreglar el país». El paro afectó el comercio nacional e internacional, principalmente de alimentos y combustible, y el abastecimiento de las ciudades. (Párrafo extraído del texto a modo de resumen)Eje 10: Corrientes en psicología y psicoanálisis con perspectiva de géneroFacultad de Humanidades y Ciencias de la Educació

    Contextual viewpoint to quantum stochastics

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    We study the role of context, complex of physical conditions, in quantum as well as classical experiments. It is shown that by taking into account contextual dependence of experimental probabilities we can derive the quantum rule for the addition of probabilities of alternatives. Thus we obtain quantum interference without applying to wave or Hilbert space approach. The Hilbert space representation of contextual probabilities is obtained as a consequence of the elementary geometric fact: cos\cos-theorem. By using another fact from elementary algebra we obtain complex-amplitude representation of probabilities. Finally, we found contextual origin of noncommutativity of incompatible observables

    A learning model for battery lifetime prediction of LoRa sensors in additive manufacturing

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    Today, an innovative leap for wireless sensor networks, leading to the realization of novel and intelligent industrial measurement systems, is represented by the requirements arising from the Industry 4.0 and Industrial Internet of Things (IIoT) paradigms. In fact, unprecedented challenges to measurement capabilities are being faced, with the ever-increasing need to collect reliable yet accurate data from mobile, battery-powered nodes over potentially large areas. Therefore, optimizing energy consumption and predicting battery life are key issues that need to be accurately addressed in such IoT-based measurement systems. This is the case for the additive manufacturing application considered in this work, where smart battery-powered sensors embedded in manufactured artifacts need to reliably transmit their measured data to better control production and final use, despite being physically inaccessible. A Low Power Wide Area Network (LPWAN), and in particular LoRaWAN (Long Range WAN), represents a promising solution to ensure sensor connectivity in the aforementioned scenario, being optimized to minimize energy consumption while guaranteeing long-range operation and low-cost deployment. In the presented application, LoRa equipped sensors are embedded in artifacts to monitor a set of meaningful parameters throughout their lifetime. In this context, once the sensors are embedded, they are inaccessible, and their only power source is the originally installed battery. Therefore, in this paper, the battery lifetime prediction and estimation problems are thoroughly investigated. For this purpose, an innovative model based on an Artificial Neural Network (ANN) is proposed, developed starting from the discharge curve of lithium-thionyl chloride batteries used in the additive manufacturing application. The results of experimental campaigns carried out on real sensors were compared with those of the model and used to tune it appropriately. The results obtained are encouraging and pave the way for interesting future developments

    Desarrollo de una herramienta de planificación del tiempo y aseguramiento de la calidad para la construcción de un edificio habitacional, en la Empresa Constructora Edificar S.A.

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    Proyecto de Graduación (Licenciatura en Ingeniería en Construcción). Instituto Tecnológico de Costa Rica. Escuela de Ingeniería en Construcción, 2014.This practice was developed in Torres de Flared, which consists of a residential building nine levels, each consisting of four apartments. The scope of the construction company contemplates gray work, electromechanical, metal finishing facilities and skies. This project will provide a solution to the problem of time and execution by the development of this work, which has an extensive workload within range, however budget within a very short period of time, which gives us the task of developing a tool to fulfill all activities at the deadline and hand with practices of high quality standards. Within the content is two main stages, the first sample much of the logistics of the project, in planning the execution time and site design. The second stage is shaped the development of tools based on external and internal company Build, allowing assess compliance with quality standards regulations. The development of these tools is to fill a need within the project Torres de Velarde, where for the first stage the critical or key implementation activities were determined and together with logistics site developed an initial strategic planning runtime, which led to weekly work programs that enable compliance with the milestones. Added to this assessment contemplate these weekly activities and these results has managed to define needs and strengths of the project, promoting the ideology of continuous improvement. Following that, in the second stage was wont to strengthen another important parameter in implementing the project, which is developing practices with high quality standards. For this major regulations governing the assessment of quality in projects of this size were investigated. With this information tools that facilitate the assessment of quality in major construction processes were created. Product of the analysis of this information, some recommendations that the Construction Build can be used to improve the remaining processes of the final stage of the project were made. Keywords: Lean Philosophy, Last Planner, Planning time, quality assurance, site design, manufacturing strategy, strategic planning, intermediate Planning, weekly planning, Causes of non-compliance, quality control, finishing of concrete.Instituto Tecnológico de Costa Rica. Escuela de Ingeniería en Construcción. Edificar S.A

    A Comprehensive Review on Time Sensitive Networks with a Special Focus on Its Applicability to Industrial Smart and Distributed Measurement Systems

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    The groundbreaking transformations triggered by the Industry 4.0 paradigm have dramati-cally reshaped the requirements for control and communication systems within the factory systems of the future. The aforementioned technological revolution strongly affects industrial smart and distributed measurement systems as well, pointing to ever more integrated and intelligent equipment devoted to derive accurate measurements. Moreover, as factory automation uses ever wider and complex smart distributed measurement systems, the well-known Internet of Things (IoT) paradigm finds its viability also in the industrial context, namely Industrial IoT (IIoT). In this context, communication networks and protocols play a key role, directly impacting on the measurement accuracy, causality, reliability and safety. The requirements coming both from Industry 4.0 and the IIoT, such as the coexistence of time-sensitive and best effort traffic, the need for enhanced horizontal and vertical integration, and interoperability between Information Technology (IT) and Operational Technology (OT), fostered the development of enhanced communication subsystems. Indeed, established tech-nologies, such as Ethernet and Wi-Fi, widespread in the consumer and office fields, are intrinsically non-deterministic and unable to support critical traffic. In the last years, the IEEE 802.1 Working Group defined an extensive set of standards, comprehensively known as Time Sensitive Networking (TSN), aiming at reshaping the Ethernet standard to support for time-, mission-and safety-critical traffic. In this paper, a comprehensive overview of the TSN Working Group standardization activity is provided, while contextualizing TSN within the complex existing industrial technological panorama, particularly focusing on industrial distributed measurement systems. In particular, this paper has to be considered a technical review of the most important features of TSN, while underlining its applicability to the measurement field. Furthermore, the adoption of TSN within the Wi-Fi technology is addressed in the last part of the survey, since wireless communication represents an appealing opportunity in the industrial measurement context. In this respect, a test case is presented, to point out the need for wirelessly connected sensors networks. In particular, by reviewing some literature contributions it has been possible to show how wireless technologies offer the flexibility necessary to support advanced mobile IIoT applications

    An IoT Measurement System Based on LoRaWAN for Additive Manufacturing

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    The Industrial Internet of Things (IIoT) paradigm represents a significant leap forward for sensor networks, potentially enabling wide-area and innovative measurement systems. In this scenario, smart sensors might be equipped with novel low-power and long range communication technologies to realize a so-called low-power wide-area network (LPWAN). One of the most popular representative cases is the LoRaWAN (Long Range WAN) network, where nodes are based on the widespread LoRa physical layer, generally optimized to minimize energy consumption, while guaranteeing long-range coverage and low-cost deployment. Additive manufacturing is a further pillar of the IIoT paradigm, and advanced measurement capabilities may be required to monitor significant parameters during the production of artifacts, as well as to evaluate environmental indicators in the deployment site. To this end, this study addresses some specific LoRa-based smart sensors embedded within artifacts during the early stage of the production phase, as well as their behavior once they have been deployed in the final location. An experimental evaluation was carried out considering two different LoRa end-nodes, namely, the Microchip RN2483 LoRa Mote and the Tinovi PM-IO-5-SM LoRaWAN IO Module. The final goal of this research was to assess the effectiveness of the LoRa-based sensor network design, both in terms of suitability for the aforementioned application and, specifically, in terms of energy consumption and long-range operation capabilities. Energy optimization, battery life prediction, and connectivity range evaluation are key aspects in this application context, since, once the sensors are embedded into artifacts, they will no longer be accessible
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