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https://purl.org/pe-repo/ocde/ford#2.02.04
47
Rendimiento académico
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https://purl.org/pe-repo/ocde/ford#2.00.00
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https://purl.org/pe-repo/ocde/ford#5.02.04
15
http://purl.org/pe-repo/ocde/ford#2.02.04
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Automatización y Sistemas de Control
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http://purl.org/pe-repo/ocde/ford#2.02.03
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1
objeto de conferencia
Publicado 2017
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The present study proposes a method of automatic detection of tuberculosis (TB) bacilli from digital images of Ziehl Neelsen sputum smear baciloscopy. The method is based on an algorithm that aims to automate the interpretation of optical microscopic images of sputum smears. According to the World Health Organization (WHO), a specialist can not analyze and process more than 20 samples per day (in order to not affect the analysis sensitivity and commit errors in diagnosis). Therefore, an automated tool as the proposed here, is an important contribution to the current efforts to fight tuberculosis. The algorithm is based on geometric eccentricity of ellipses and improvement of RGB component tones. Correspondence functions adjusted to sample preparation conditions were applied in order to improve the RGB primary component tones of the image. This allows to obtain an adequate segmentation of...
2
artículo
Publicado 2019
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When we refer to pain, we are faced with an unpleasant sensation that causes certain reactions in the human body that prevent its production, so it is of vital importance to understand what the symptomatology of pain is, how it is produced and how it can be avoided. production, there are cases where the pain becomes pathological where found in the patient's thoughts, therefore the present work tries to demonstrate that its production can be avoided in the face of intense painful situations that occur when working in the recovery of the mobility of the patient. articulation of the knee, which by its nature is painful, added to the fear of feeling pain on the part of the patient does not help the patient's recovery, the experimentation consists of taking the pain from the approach of not thinking about it and relaxing and evaluating it by an environment of cerebral analysis through the lev...
3
artículo
Publicado 2020
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
4
artículo
Publicado 2020
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In this paper, a three-dimensional numerical solution for the bending study of laminated composite doubly-curved shells is presented. The partial differential equations are solved analytically by the Navier summation for the midsurface variables; this method is only valid for shells with constant curvature where boundary conditions are considered simply supported. The partial differential equations present different coefficients, which depend on the thickness coordinates. A semi-analytical solution and the so-called Differential Quadrature Method are used to calculate an approximated derivative of a certain function by a weighted summation of the function evaluated in a certain grin domain. Each layer is discretized by a grid point distribution such as: Chebyshev-Gauss-Lobatto, Legendre, Ding and Uniform. As part of the formulation, the inter-laminar continuity conditions of displacement...
5
artículo
Publicado 2020
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This paper deals with the automation of psychological assessments to help to select the right candidate for the organization during the recruitment process on a human resources consulting firm. The solution was developed with Kanban Method and cloud computing, such as Amazon Web Services (AWS), where it was integrated and launched with other services to improve security and operativity. Experiments were divided into functionalities: (1) an interface for mobile phones and (2) notifying recruiter by SMS and Email when candidate finalize the tests. The results show improved recruiter response time to analyze test results and prepare psychological reports in two and a half months. The recruiter's performance increased by up to 5% in person-hours.
6
artículo
The current study relates to designing a swarming computational paradigm to solve the influenza disease system (IDS). The nonlinear system’s mathematical form depends upon four classes: susceptible ndividuals, infected people, recovered individuals and cross-immune people. The solutions of the IDS are provided by using the artificial neural networks (ANNs) together with the swarming computational paradigm-based particle swarm optimization (PSO) and interior-point scheme (IPA) that are the global and local search approaches. The ANNs-PSO-IPA has never been applied to solve the IDS. Instead a merit function in the sense of mean square error is constructed using the differential form of each class of the IDS and then optimized by the PSOIPA. The correctness and accuracy of the scheme are observed to perform the comparative analysis of the obtained IDS results with the Adams solutions (ref...
7
artículo
Publicado 2023
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This work was carried out by the importance of providing insights into the nano-based drug delivery of anticancers. To this aim, a representative model of aluminum nitride (AN) nanocage scaffold and two of its boron and gallium doped forms (BAN and GAN) were investigated towards the adsorption of thiotepa (Tep) anticancer. Density functional theory (DFT) calculations were performed to evaluate the stabilized structures and their corresponding electronic features. The results indicated the contribution of N-head and S-head of Tep to interactions with each scaffold resulting six complexes; NTep@AN and STep@AN, NTep@BAN and STep@BAN, NTep@GAN and STep@GAN. In each complex model, the characteristic features were obtained based on the interactions details and frontier molecular orbitals related features. In this regard, the investigated scaffolds were found suitable for adsorbing the Tep subs...
8
artículo
Publicado 2023
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Inertial kinetics and kinematics have substantial influences on human biomechanical function. A new algorithm for Inertial Measurement Unit (IMU)-based motion tracking is presented in this work. The primary aims of this paper are to combine recent developments in improved biosensor technology with mainstream motion-tracking hardware to measure the overall performance of human movement based on joint axis-angle representations of limb rotation. This work describes an alternative approach to representing three-dimensional rotations using a normalized vector around which an identified joint angle defines the overall rotation, rather than a traditional Euler angle approach. Furthermore, IMUs allow for the direct measurement of joint angular velocities, offering the opportunity to increase the accuracy of instantaneous axis of rotation estimations. Although the axis-angle representation requi...
9
artículo
Publicado 2023
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Inertial kinetics and kinematics have substantial influences on human biomechanical function. A new algorithm for Inertial Measurement Unit (IMU)-based motion tracking is presented in this work. The primary aims of this paper are to combine recent developments in improved biosensor technology with mainstream motion-tracking hardware to measure the overall performance of human movement based on joint axis-angle representations of limb rotation. This work describes an alternative approach to representing three-dimensional rotations using a normalized vector around which an identified joint angle defines the overall rotation, rather than a traditional Euler angle approach. Furthermore, IMUs allow for the direct measurement of joint angular velocities, offering the opportunity to increase the accuracy of instantaneous axis of rotation estimations. Although the axis-angle representation requi...
10
Publicado 2020
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El objetivo principal de este trabajo de investigaciòn es dar a conocer que la computación en la nube brinda servicios a través de Internet y su modelo de servicio, como infraestructura, plataforma, software, funciones existentes y capacidades de desarrollo, brinda a los usuarios, empresas e instituciones gubernamentales servicios relativamente completos en términos de calidad y velocidad. Los proveedores del mercado han demostrado que la aceleración de la nube depende de nuestras necesidades, de las necesidades de los usuarios o clientes, y de factores como capacidad, seguridad, servicios, etc., que los clientes consideren suficientes. De hecho, es un modelo innovador que implica compartir múltiples recursos, creando nuevos desafíos para la seguridad y la privacidad, permitiendo a las empresas proteger su información y administrar los sistemas de información en Internet. La imp...
11
artículo
Publicado 2022
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Infectious bursal disease is a pathology of viral origin that affects poultry, causing a high mortality rate. Existing vaccines face the problem of the appearance of new strains, so searches are made for molecules with potential binding affinity to viral proteins. Withania somnifera extract is involved in the replication of infectious bursitis virus, but the possible mechanism of action is not well understood. The aim of this study was to identify, through in silico methods, the phytoconstituents of W. somnifera with binding affinity to the active site of viral protein 1 (VP1) of infectious bursal disease virus. Molecular docking assays were performed between VP1 and 27 phytoconstituents described in W. somnifera. The binding energy data obtained were analysed with the Kruskal-Wallis test and Dunn’s test (p<0.05). The results showed that the compounds somniferin, withanolide A, with...
12
artículo
Publicado 2019
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Earth's behavior comprehension can be achieved by the analysis of Remote Sensing data, but considering the unprecedented volumes of information currently provided by different satellites sensors, the problem can be regarded as a big data problem. Machine learning techniques have the potential to improve the analysis of this type of data; however, most current machine learning algorithms are unable to properly process such huge volumes of data. In the attempt to overcome the computational limitations related to Remote Sensing Big Data analysis, we implemented the K-Means algorithms, a clustering technique, as distributed solution, exploiting the capabilities of cloud computing infrastructure for processing very large datasets. The solution was developed over the InterCloud Data Mining Package, which is a suite of distributed classification methods, previously employed in hyperspectral ima...
13
artículo
Publicado 2022
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From the covariant formulation of radiation intensity of Hartemann-Kerman model entirely constructed in the classical electrodynamics scenario, a formulation of coherent states has been obtained in an explicit manner represented by the infinite sum of integer-order Bessel functions. Both linear and nonlinear Compton scattering are included, suggesting that Compton processes can be perceived as coherent states of lightmatter interaction.
14
objeto de conferencia
Usability is nowadays an aspect that determines the success of any software product, and the embedded systems in the Automated Teller Machines (ATMs) are not the exception. This fact represents a challenge for the software developers that are forced to guarantee the design of usable interfaces. Some attempts to achieve the required degree of usability in a software of this domain, involve the application of user-centered techniques in the elaboration process of the design proposals for the functionality of the ATMs. However, there is a lack of a formal methodological procedure. In this research, a systematic review was conducted to identify the approaches that are used to guide the design process of ATM interfaces. From a total of 492 studies, only 10 were selected as relevant. Although usability is an important aspect, only a small number of authors report the use of frameworks, that ar...
15
tesis de grado
Publicado 2025
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El presente trabajo tiene como objetivo el desarrollo e implementación de un sistema web de ventas e integrada de manera implícita la facturación electrónica utilizando tecnología o computación en la nube para las micro y pequeñas empresas (MYPES) del sector comercio de Lima Metropolitana. El uso de tecnologías digitales se ha vuelto indispensable para las empresas puedan mantenerse en competencia en el mercado y este proyecto busca ofrecer una herramienta eficiente y escalable cumpliendo las normas vigentes establecidas por la SUNAT en el Perú. El proyecto se centra en el proceso operativo comercial de las MYPES, identificando los principales problemas en el control del negocio, en infraestructura, emisión de comprobantes electrónicos y gestión de ventas. La solución propuesta ofrece funcionalidades clave para el seguimiento y control del proceso de ventas, integrando los m...
16
artículo
Publicado 2024
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Business sustainability has become a global imperative in response to the environmental, social, and economic challenges facing our world. In this context, the measurement and evaluation of business sustainability have become crucial to guide the actions of organizations towards more responsible and sustainable practices. However, the lack of specific measurement instruments for specific regional contexts may limit the ability of companies to evaluate and improve their sustainability performance. In this paper, we present the design of a business sustainability measurement method adapted to the context of Tarma, Peru. Tarma, a region located in the heart of the Peruvian Andes, is characterized by its cultural, environmental, and economic diversity, making it a unique context to address business sustainability. This article proposes a method for measuring business sustainability based on ...
17
tesis de grado
Publicado 2017
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The main challenge for Peruvian SMEs is obtaining information for decision making. In this context, the use of data analysis technologies such as Business Intelligence and Analytics are not very accessible to companies, due to economic and human capital limitations. The main objective of the project is the implementation of a technological model that combines Business Intelligence and Analytics with Cloud Computing, to allow retail SMEs to integrate and process their data to make informed and timely decisions regarding inventory planning and management, with a low cost of implementation and deployment. For the development of the project, a preliminary investigation is carried out about Business Intelligence, Analytics and Cloud Computing technologies, where the applications of each one is studied and success cases of retail SMEs worldwide. Then, the technological model oriented to the ne...
18
artículo
Publicado 2023
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The video game industry has undergone one of the most significant transformations in recent times. This is reflected not only in the economic aspect but also in the increasing number of players who want to explore and interact in the world of video games in recent years. As for the Real-Time Strategy (RTS) genre, which reached its peak in the early 2000s, it did not continue to see the same trend in game development, and the population of active players has been declining [1]. The primary reason for this continuous decline is the competition from games in other genres such as First Person Shooter (FPS), Multiplayer Online Battle Arena (MOBA), and other genres with attractive characteristics that set them apart. In response to this, a solution is offered, which involves the development of a multiplayer RTS video game for Windows operating systems (PC), with the aim of generating greater i...
19
tesis de grado
Publicado 2022
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En los últimos años, la necesidad de análisis sobre grandes volúmenes de datos se ha vuelto cada vez más importante. Esto llega a ser sumamente útil en la toma de decisiones estratégicas sobre diferentes aplicaciones. De esta manera, se deben diseñar mecanismos apropiados para realizar el tratamiento de datos y su integración con diferentes plataformas para aprovechar las ventajas que éstas nos brindan. En el presente trabajo, se muestra una arquitectura que trabaja sobre servicios cloud para realizar una migración de datos almacenados en Big Query a un motor de analítica como Elasticsearch y aprovechar su potencial en operaciones de consulta, inserción y despliegue de visualizaciones. Esto se logra por medio del uso de Cloud Functions y Pub/Sub. La integración de estas plataformas mediante la arquitectura propuesta, mostró una efectividad del 100% al trasladar los datos d...
20
artículo
Publicado 2019
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The task of elaborating accurate test suites for program testing can be an extensive computational work. Mutation testing is not immune to the problem of being a computational and time-consuming task so that it has found relief in the use of heuristic techniques. The use of Genetic Algorithms in mutation testing has proved to be useful for probing test suites, but it has mainly been enclosed only in the field of imperative programming paradigms. Therefore, we decided to test the feasibility of using Genetic Algorithms for performing mutation testing in functional programming environments. We tested our proposal by making a graph representations of four different functional programs and applied a Genetic Algorithm to generate a population of mutant programs. We found that it is possible to obtain a set of mutants that could find flaws in test suites in functional programming languages. Ad...
