2018 LACCEI - Lima, Perú

Permanent URI for this collectionhttps://axces.info/handle/10.18687/56

"Innovation, Education, and Inclusion"

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Author: Nieto-Chaupis, Huber

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Now showing 1 - 8 of 8
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    Using the Diffusion’s Equation For Modeling Biological Anomalies in the Human Kidney: When Physics Faces Global Diseases at the Nano Level
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    We use Physics ideas and equations to explain and to provide quantitative results of a possible measurement of the charges of albumin in the human kidney. Basically we use the diffusion equation and it is interpreted as a charge density fluxing through out the last layers of the kidney in the urine formation space. This study is a combination of Physics ideas to solve and face concrete problems of global diseases by which the presence of novel and alternatives ideas would serve to tackle the possible complications of type-2 diabetes progress. Therefore the comprehension of the why of the progress of certain diseases might be seen from the Physics angle and thus to provide new alternatives to improve the quality of life of people.
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    Identificando el Riesgo en Obesidad y Depresión en Escuelas Públicas de Lima Norte: Midiendo los Efectos de Intervención Temprana
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    Los estilos de vida de una persona pueden variar en el tiempo debido a factores sociales y económicos. En Lima Norte, el auge económico es traducido como un incremento de los ingresos por familia, lo que también significaría un cambio en los hábitos de los estilos de alimentación. Claramente, estos cambios podrían afectar a niños que adquieren cierta solvencia para adquirir comidas con altos contenidos en grasa y azúcares. En este trabajo nos centramos en el rol del profesional de enfermería y de Psicología quién serían los profesionales idóneos para las intervenciones basadas en el control permanente en las formas diaria o interdiaria en las instituciones educativas primarias de Lima norte. Esto tendría importantes efectos en mejora de la salud grupal así como también atenuar los casos eventuales de obesidad que podrían causar depresión en niños obesos y con un temprano diagnóstico de enfermedades relacionadas al sobrepeso.
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    Understanding Dynamics of Combined Cycles in Energy Plants with Theories of Variables Interaction: A pedagogical Approach to the Undergraduate Level of Engineering
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    In this note we present a pedagogical approach of variable interactions applied to a 2×2 MIMO system and its confrontation to acquired data from a combined cycle power plant, is studied. The Laplace space is used as a scenario to compute basic operations and subsequently the resulting relations are transformed in convolution integrals. The term responsible of interaction is then simulated and confronted to acquired data from dynamics variable of the power plant. Concretely, attention is paid to the drum level which turns out to be the variable of most importance inside the combined cycle power plant. Our approach is as a pedagogical introduction with a theoretical model sustained even for those cases where the temporal evolution of the drum level is notably affected by intrinsic fluctuations. Thus, a discrepancy between model and data results to be of order of 5%. It would suggest that the interaction variable formalism might be of interest to design model-based control theories which could be applied to those MIMO systems which are plagued of intrinsic and stochastic fluctuations.
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    The Usage of Google-SketchUp as a Pedagogical Tool For Teaching of Signal Path-Loss Models in the Networking Engineeering Program
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    A study of the applicability of the well-known Google SketchUp as to model the signal path-loss in mid-sized urban areas is presented. From the fundamental power equation and the usage of Dirac distributions arriving to nonlinear input/output (I/O) integrals with unknown parameters applied. We use this scheme to optimize antenna deployment in an urban zone containing buildings and delimited areas. The modeling assumes that the Delta function contains a polynomial argument and unknown parameters. The extracted parameters through Monte Carlo steps, would serve to measure the signal intensity degradation over the mid-sized urban areas assisted with the Google-SketchUp version 8.
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    Optimizing the Telemedicine Services and Health Informatics From System Identification of the Risk Level in Peruvian Northwestern Cities
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    We use the so-called nonlinear system identification methodology to model the level of risk in those Peruvian Peri urban zones along the northwestern cities and which are under an imminent thread of being flooded due to climate changes. In this paper we evaluate the prospective role of the eHealth services which might be relevant in the sense of providing effective assistance in times of flooding particularly in those vulnerable human groups. To this end we use a mathematical formalism that identifies the system to extract the main system parameters of the system for a subsequent usage of them in the modeling of Telemedicine services and eHealth dynamics. We present some simulations of how these electronic services can be useful to attenuate critic consequences. This paper evaluates the fact of deploying ehealth services in areas of risk in the city of Piura.
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    Prospective Usage of the Internet of Bio-Nano Things For Very Anticipated Detection of Proteins in Type-2 Diabetes Patients: Stopping the Progress of Diabetic Nephropathy with Nanomedicine
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    A natural upgrade of the Internet of Things (IoT) and the Internet of Nano-Things (IoNT) is the so-called Internet of Bio-Nano Things by the which the organs of the human body would be part of a communication’s network and emitting signals continuously. In this paper we have paid attention to the prospective scheme of surveillance that aims to measure the charged bunches of proteins which are fluxing through the renal glomerulus. We propose the idea that these bunches of albumin might have anomalous displacements out the glomerulus due to the presence of dipoles of glucose. Our theoretical formulation consists essentially in a physics model. Under this view, the electrodynamics of albumin is governed by repulsive and attractive forces that pushes out theses proteins to the spaces of urine formation. For this end, we apply electrodynamics to calculate the electric potential and fields. All these processes might be seen as the very beginning of the well-known diabetes kidney disease. Under the assumption that the presence of a nanodevice contains capabilities for sensing the bunches of albumin, we estimated the efficiencies of charge detection using the Monte Carlo method. We present simulations about the possible tracks of albumin after of their interaction with others charged negatively cells like podocytes. The present analysis has considered others charged proteins which would play the role of noise or background. This methodology is embedded in the framework of the IoBNT and the respective quality of service is estimated as well.
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    Sustainable Schemes For Healthy Growth of Colossoma Macropomum and Its Prospective Impact on the Local Economy of Northeastern Peruvian Cities
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber; Campomanes, Carlos
    We report the results of the application of a study based on a statistical scheme based on continuous measurement of the properties of the {\it Colossoma Macropomum} from an initial phase up to the first 5 months, resulting in an optimal quality as seen in their weight, size and conservation of total number of cultivated species at a Peruvian Norteastern city. The methodology have consisted in applying successive measurements on physical properties, such as size, weight, pH and food over the first 20 weeks. All information is incorporated in a statistic framework in order to extract and interpret the most sensitive parameters. The results have shown that the Logarithm shape of fitted histograms would express to some extent the healthy and highly quality of Gamitana fish meat as demanded by human consume and other uses.
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    Educational Usage of the Delta Functions as Possible Software Model and Piezoelectric Sensors to Measure Fast Signal in Cracks
    (LACCEI Inc., 2018-09) Nieto-Chaupis, Huber
    We review the importance of using a Delta function which can be used as a tool to model instantaneous response signals such as the identification of cracks in piezoelectric materials. We claim that these functions can be part of an interface software-hardware aimed to identify anomalies in large pipes from the fact that the Delta functions under a convolution mechanism having as output a degraded signal that differs notably from the input.A possible application of this formalism would that of the design of algorithms for identifying and measuring cracks properties in metallic pipes by using piezoelectric sensors. We found that the usage of the Delta function would be useful to reconstruct a spectrum indicating the possible locations of cracks within certain range of systematic error. This methodology might also be exploited in the analysis of super fast signals which need to be measure with acceptable resolutions.