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computer network » computer networks (Expander búsqueda), complex networks (Expander búsqueda)
network function » network addiction (Expander búsqueda), network selection (Expander búsqueda)
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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...
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objeto de conferencia
The work has been partly funded by the European Union Horizon 2020 research and innovation program under grant agreement No. 761745, the Government of Taiwan and by Cienciactiva-CONCYTEC of the Peruvian government
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objeto de conferencia
Presentado en el Congreso Internacional Students Conference on Electrical, Electronics and Computer Science, SCEECS 2016, Bhopal - India, del 05 al 06 de agosto.
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artículo
Publicado 2002
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El proyecto de la cuenta de desarrollo de las Naciones Unidas busca articular estrategias holísticas que integren las dimensiones económicas, ambientales y sociales del desarrollo sostenible en países que dependen de sus recursos naturales comercializables (minerales, gas, petróleo) de América Latina y el Caribe (LAC). El presente informe técnico es el resultado de una exploración detenida de las páginas web y redes existentes sobre temas sociales, ambientales, culturales y económicos, vinculados al aprovechamiento sostenible de recursos naturales no renovables y plantea la factibilidad de establecer una Red de trabajo integrada basados en la necesidad de un acercamiento multidisciplinario al tema. Dicha red de comunicación informática diseminará los conocimientos y temas relativos a la educación, investigación, diseño de políticas e intercambio de experiencias; empleando...
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artículo
Publicado 2002
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The project of the United Nations development account seeks to articulate holistic strategies that integrate the economic, environmental and social dimensions of sustainable development in countries that depend on their marketable natural resources (minerals, gas, oil) from Latin America and the Caribbean ( LAC). This technical report is the result of a careful exploration of the web pages and existing networks on social, environmental, cultural and economic issues, linked to the sustainable use of non-renewable natural resources, and raises the feasibility of establishing an integrated work network based on the need for a multidisciplinary approach to the subject. This computer communication network will disseminate knowledge and issues related to education, research, policy design and exchange of experiences; initially using the web servers of the Universidad Nacional Mayor de San Marc...
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artículo
Publicado 2023
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Drug design has significantly benefited from advancements in computational chemistry and neural networks. In this article, we explore the pivotal role played by computational chemistry techniques such as Density Functional Theory (DFT), Molecular Docking, and Molecular Dynamics (MD) in understanding and optimizing atomic and molecular-level interactions. Furthermore, we examine how the integration of neural networks has enhanced precision and efficiency in drug design. We present specific examples of research projects showcasing the synergy between these methods and highlighting substantial advances in the quest for effective medical solutions. Additionally, we discuss challenges and key considerations for continuing to progress in this multidisciplinary field.
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artículo
The general goal of this research is to address the way in which the twenty-five first Spanish publishers in literature publication manage their social networks. For this, through the PRGS model, the weight of the main social networks (Facebook, Twitter and Instagram) in the digital marketing strategy of these Spanish publishing companies is analysed from a triple dimension: a) the attraction of users, b) content generation, and c) users' engagement to the brand. The study conducted on these twenty-five Spanish publishers concludes that Facebook is the one that generates the most fans, compared to Twitter and Instagram. Nonetheless, Twitter is the network most used to generate content. Finally, in terms of engagement, the results point out Instagram as the network where better results are obtained
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artículo
Publicado 2017
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With the aim of understanding humor functioning through internet and social network, we will approach memes through a determinate topic: memes about philosophers and thinkers in general since they define a very specific meaning community. We won´t adjust to a single theory, because memes´ multiplicity and their comicalness can´t be submitted by only one way of working or by specific purpose, therefore we will work from different comical concepts, from Baudelaire´s comical and caricature notions, Bajtin´s carnival grotesque concept, passing through Freud´s theories about jokes and laugh, till Bergson, Pirandello and Koestler humor definitions. From the discursive analysis we will try an explanation of how humor works in order to create, to keep and to reinforce social links.
9
artículo
Publicado 2019
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A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided. Moreover, a Convolutional Neural Network (CNN) is a type of neural network that has shown to efficiently learn tasks related to the area of image analysis, such as image segmentation, whose main purpose is to find regions or separable objects within an image. A more specific type of segmentation, called semantic segmentation, guarantees that each region has a semantic meaning by giving it a label or class. Since CNNs can automate the task of image semantic segmentation, they have been very useful for the medical area, applying them to the segmentation of organs or abnormalities (tumors). This work aims to improve the task of binary semantic segmentation of volumetric medical images acquired by Magnetic Resonance Imaging (MRI) usi...
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artículo
Publicado 2024
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THE PURPOSE OF THIS STUDY IS TO MEASURE THE LEVEL OF AIR POLLUTION IN THE DISTRICT OF VENTANILLA AND MI PERU, IN PERU. THE CONCENTRATIONS OF SUSPENDED PARTICLES RANGE FROM 2.5 G TO 10 G, ALSO KNOWN AS PM10, AND THE CONCENTRATIONS OF SUSPENDED PARTICLES LESS THAN 2.5 G, ALSO KNOWN AS PM2.5. THE TASK IS TO MEASURE CO2, PM2.5 AND PM10 POLLUTION TO PROTECT THE HEALTH OF PEOPLE LIVING IN THE REGION UNDER STUDY. A SYSTEM WAS IMPLEMENTED TO MEASURE THE CONCENTRATIONS OF PM10 AND PM2.5 POLLUTANTS IN CO2 POLLUTED AIR. THE MEASUREMENT SYSTEM INCLUDES A DUST AND CO2 SENSOR, AS WELL AS AN AMBIENT TEMPERATURE AND HUMIDITY SENSOR, A DHT11 SENSOR FOR THESE MEASUREMENTS, AND AN ESP8266 MODULE FOR WIRELESS RECORDING AND CLOUD RECORDING. AN ARDUINO UNO R3 AND ESP8266 BOARD USE WIFI TO PROCESS THE SENSOR VALUES. A GOOGLE SHEETS SPREADSHEET AND A PAAS CLOUD COMPUTING SERVICE PROVIDED BY GOOGLE. AN ANN WAS C...
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artículo
Publicado 2019
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The automatic characterization and classification of plant species is an important task for plant taxonomists. On this work, we propose the use of well-known pre-trained Deep Convolutional Neural Networks (DCNN) for the characterization of plants based on their leaf midrib. The samples studied are microscope images of leaf midrib cross-sections taken from different specimens under varying conditions. Results with traditional handcrafted image descriptors demonstrate the difficulty to effectively characterize these samples. Our proposal is to use DCNN as a feature extractor through Global Average Pooling (GAP) over the raw output of its last convolutional layers without the application of summarizing functions such as ReLU and local poolings. Results indicate considerably performance improvements over previous approaches under different scenarios, varying the image color-space (gray-level...
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artículo
The need to develop a BCI brain- computer interface system for the control of a robotic arm in Peru arises from the possibility of interconnecting the human nervous system with a robotic or mechatronic system, and using this concept to recover some motor function. Brain Computer Interface (BCI) is a communication system based on the recording of brain signals (EEG). The electroencephalogram is the basis and support of the BCI technology. It is a novel technology that allows human-machine interaction in a virtual or physical environment, through a communication channel between the central nervous system and a robotic device. In recent years, the aforementioned systems have caused the interest of important research centers worldwide.
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artículo
Publicado 2022
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The robotic mobile system Robotino, developed by FESTO, is a robotic platform oriented towards research and education, which is why it has a reduced amount of actuators of limited real functionality. This article proposes the integration of a Raspberry Pi 4 to a Robotino FESTO with the purpose of expanding the number of digital inputs this robot has, in addition to allow the input of analog signals by serving as a communication interface between devices through an ethernet connection. In this way, the installation of robotic arm Lynxmotion AL5 with 5 degrees of freedom to the Robotino through the Raspberry Pi 4 is proposed so that it performs additional functions and applications without interfering with the digital inputs of the Robotino, that are already used by the sensors and accessories installed by default. By establishing the connection between both devices (Robotino and Lynxmotio...
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artículo
Publicado 2024
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THIS RESEARCH PROJECT IS CARRIED OUT TO MEASURE THE CONTAMINATED AIR AND THE CONCENTRATION OF SUSPENDED PARTICLES RANGING BETWEEN 2.5ΜG AND 10ΜG ALSO KNOWN AS PM10 AND SUSPENDED PARTICLES SMALLER THAN 2.5ΜG KNOWN AS PM2.5, IN THE, DISTRICT OF VENTANILLA AND MI PERU, IN PERU. THE WORK CONSISTS OF MEASURING CO2 AND PM2.5 AND PM10 POLLUTION TO PREVENT THE HEALTH OF THE INHABITANTS OF THE AREA UNDER STUDY. THE IMPLEMENTATION OF A SYSTEM TO MEASURE THE CO2 CONTAMINATED AIR AND THE CONCENTRATION OF PM10 AND PM2.5 POLLUTANTS IS CARRIED OUT. THE MEASUREMENT SYSTEM CONSISTS OF A DUST AND CO2 SENSOR, THE SYSTEM ALSO INCLUDES AN AMBIENT TEMPERATURE AND HUMIDITY SENSOR, A DHT11 SENSOR FOR THE MEASUREMENT OF AMBIENT TEMPERATURE AND HUMIDITY, AND AN ESP8266 MODULE FOR WIRELESS RECORDING AND CLOUD RECORDING. THE SENSOR VALUES ARE PROCESSED BY AN ARDUINO UNO R3 CARD AND ESP8266 VIA WIFI. A CLOUD COMP...
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artículo
Publicado 2022
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The current work aims to design a computational framework based on artificial neural networks (ANNs) and the optimization procedures of global and local search approach to solve the nonlinear dynamics of the spread of COVID-19, i.e., the SEIR-NDC model. The combination of the Genetic algorithm (GA) and active-set approach (ASA), i.e., GA-ASA, works as a global-local search scheme to solve the SEIR-NDC model. An error-based fitness function is optimized through the hybrid combination of the GA-ASA by using the differential SEIR-NDC model and its initial conditions. The numerical performances of the SEIR-NDC nonlinear model are presented through the procedures of ANNs along with GA-ASA by taking ten neurons. The orrectness of the designed scheme is observed by comparing the obtained results based on the SEIR-NDC model and the reference Adams method. The absolute error performances are perf...
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artículo
Publicado 2019
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The purpose of this research is to identify an artificial intelligence tool based on neural networks to predict the behavior of performance and risk of the set of financial assets based on actions that more accurately reflect the stock market movement of the Peruvian stock market. The research initially identified the most appropriate financial asset to estimate the performance and risk values of the 50% most liquid share portfolio in the Peruvian market in the 2010-2016 period. From the selected asset, the technique of artificial neural networks with a multilayer perceptron with regression configured with 3 layers (21,85,2) was used, using a logistic activation function with an LBFGS optimizer at a learning rate of 0.01 to establish the financial, operational, commercial or corporate governance patterns that can explain and / or predict the behavior of the same in the market. The resear...
17
tesis de grado
Publicado 2024
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Si bien el Completely Fair Scheduler (CFS) de Linux es capaz de proporcionar equidad entre procesos y de manejar la ubicación y migración de estos a través de un load balancer, existen trabajos previos que proponen la integración de Machine Learning (ML) como una herramienta potencial para refinar las decisiones del kernel. En este trabajo, se analiza un caso específico de migración de tareas, donde algunas son migradas forzosamente entre cores. Este escenario es subóptimo especialmente cuando, por condiciones específicas, se migra una tarea que se encuentra “caliente” en cache. Como solución a este problema proponemos el uso de ML de manera similar al trabajo [1] con el fin de predecir incidencias de migraciones forzadas. Para esto implementamos un sistema capaz de recolectar datos de migraciones en llamadas a la función can_migrate_task () y utilizamos estos datos para (i...
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tesis de grado
Publicado 2022
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This document details how my professional career has validated the fulfillment of the Systems Engineering career’s educational objectives I studied between 1996 and 2001. It describes how, despite not having dedicated myself exclusively to any of the most important career's branches - such as networking or software development - the knowledge acquired and professional training allowed me to participate in multidisciplinary projects, and propose, from a systems perspective, solutions for a variety of problems, multifaceted and that implied understanding, not only technical, but management. Likewise, the fundamental role that the systems professional fulfills by serving as a “translator” of the functional requirements of users and what is reflected in technological solutions is evidenced. Towards the end of the report, lessons learned and recommendations are identified that could ser...
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artículo
Publicado 2019
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Small and medium-sized enterprises (SME) are the driving force of economic expansion and employment creation in any country. Therefore, it is critical to promote the creation of new SMEs and maximize their chances of survival, especially in the first three critical years of their lives. Recognizing this, governments often 54 develop and implement diverse policies aimed at boosting entrepreneurship and supporting the creation of business initiatives, particularly those that helping SMEs in the early stages of life From a sponsor’s (e.g. the government or private business incubators) standpoint, it is important to understand the probability of survival that of new companies. Developing a model that attempts to explain the success or failure in a company from a quantitative and qualitative perspective is a research area to which significant resources have been devoted in recent times. Suc...
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artículo
Publicado 2023
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This article proposes the design of an autonomous navigation system intended for Unmanned Surface Vehicles (USVs) in the form of catamarans with differential propulsion, whose primary function is the collection of plastic waste in aquatic environments such as seas and lakes. The fundamental goal of this system is to optimize the operational capabilities of the USVs by increasing their navigational autonomy, consequently reducing the costs associated with their operation and production. In this context, the vehicle has been mathematically modeled, and a navigation system composed of four essential components has been established. The first component involves heading control, which utilizes GPS and IMU to estimate the orientation of the USV. The second component is the obstacle avoidance system, which employs a lidar sensor. The third component is a collection system that relies on a compu...
