Tópicos Sugeridos dentro de su búsqueda.
Tópicos Sugeridos dentro de su búsqueda.
1
artículo
Publicado 2020
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The investigation examines the culture, politics, and image of political parties in the extraordinary electoral process for Congress, held in January of this year in Peru; from a political communication perspective. The objective is to demonstrate the level of articulation of the factors that build a democratic society in an electoral process, the relations between culture and politics have a long history, however, the levels of articulation in political language have their expression in the image they project to society, that being the fundamental reason for the article. The applied descriptive methodology combines techniques for analyzing image observation formats with interviews, generating qualitative and quantitative results. The conclusions show a disarticulation of concomitant elements in the consolidation of the democratic political order, the perception of a mono-culture aimed a...
2
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
3
artículo
Publicado 2023
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Style transfer is a natural language processing generation task, it consists of substituting one given writing style for another one. In this work, we seek to perform informal-to-formal style transfers in the English language by using a style transfer model that takes advantage of the GPT-2. This process is shown in our web interface where the user input a informal message by text or voice. Our target audience are students and professionals in the need to improve the quality of their work by formalizing their texts. A style transfer is considered successful when the original semantic meaning of the message is preserved after the independent style has been replaced with a formal one with a high degree of grammatical correctness. This task is hindered by the scarcity of training and evaluation datasets alongside the lack of metrics. To accomplish this task, we opted to utilize OpenAI’s G...
4
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...
5
artículo
Publicado 2018
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This work was supported by a Paul G. Allen Family Foundation Distinguished Investigator Award and the Moore Foundation Data-Driven Discovery Investigator program. The second author gratefully acknowledges CONCYTEC for a scholarship in support of graduate studies.
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7
artículo
Publicado 2020
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La investigación realizada examina el símbolo, la cultura política, así como la imagen de los candidatos y partidos políticos en el proceso electoral extraordinario al Congreso de la Republica, realizado en enero del presente año en Perú; lo hace desde una perspectiva de la comunicación política. El objetivo es demostrar el nivel de articulación de los factores que construyen una sociedad democrática en un proceso electoral, reconociendo que las relaciones entre cultura y política tienen larga data, sin embargo, los niveles de articulación en el lenguaje político tienen su expresión en la imagen que proyectan a la sociedad, siendo esa la razón fundamental del artículo. La metodología descriptiva aplicada combina técnicas de análisis de formatos de observación de la imagen con entrevistas Delphi, generando resultados cuali-cuantitativos. Las conclusiones muestran una ...
8
artículo
Publicado 2020
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La investigación realizada examina el símbolo, la cultura política, así como la imagen de los candidatos y partidos políticos en el proceso electoral extraordinario al Congreso de la Republica, realizado en enero del presente año en Perú; lo hace desde una perspectiva de la comunicación política. El objetivo es demostrar el nivel de articulación de los factores que construyen una sociedad democrática en un proceso electoral, reconociendo que las relaciones entre cultura y política tienen larga data, sin embargo, los niveles de articulación en el lenguaje político tienen su expresión en la imagen que proyectan a la sociedad, siendo esa la razón fundamental del artículo. La metodología descriptiva aplicada combina técnicas de análisis de formatos de observación de la imagen con entrevistas Delphi, generando resultados cuali-cuantitativos. Las conclusiones muestran una ...
9
artículo
Publicado 2020
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Transfer Learning has emerged as one of the main image classification techniques for reusing architectures and weights trained on big datasets so as to improve small and specific classification tasks. In Natural Language Processing, a similar effect is obtained by reusing and transferring a language model. In particular, the Universal Language Fine-Tuning (ULMFiT) algorithm has proven to have an impressive performance on several English text classification tasks. In this paper, we aim at improving current state-of-the-art algorithms for Spanish Sentiment Analysis of short texts. In order to do so, we have adapted a ULMFiT algorithm to this setting. Experimental results on benchmark datasets show the potential of our approach. © Springer Nature Switzerland AG 2020.
10
artículo
Publicado 2020
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In order to evaluate the forms of interaction in the main Instagramers from Peru and Colombia, an exploratory analysis of their profiles was carried out on the Instagram audiovisual platform during 2019. For this reason, firstly, the Heepsy tool was used to establish the influencers with greater impact within the platform in both countries and then, through the monitoring tools Fan Page Karma and Social Blade, to determine a set of variables and parameters regarding their interaction. The results show that the audience index is higher for Instagramers from Colombia than for the ones from Peru. In addition, there is a clear trend among digital audiences to value content through likes as a sign of interaction with it, but on the other hand, there is a representative decrease in expressing their impressions with words and comments regarding what they observe; this is also established by the...
11
artículo
Publicado 2007
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In this project, image recognition will be applied through neural networks for facial identification, which will be used for the implementation of systems computerized access control of people, where the identification of faces of people, which will be captured in real time with cameras located at points Strategic access in restricted areas. Based on this experience, the solution to the facial identification problem, based on the facial recognition problem patterns. It is worth mentioning that this research, in addition to solving the problem of Facial identification also considers the creation of software in the form of libraries or modules that can be used for future applications in commonly used language like C++ in any of its presentations and with this it is hoped to create a base for the development of commercial software And finally we also intend to analyze the general problem of...
12
artículo
Publicado 2017
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New equipment was designed and developed to evaluate the physical characteristics of animal fibres, based on an automatic digital analysis system (ADAS) that allows the capture of a series of real-time images. In the development of the mechanical component, a design tool was used that allows visualization, simulation, and documentation of the product.
13
artículo
Publicado 2021
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Acknowledgments Mr. Jordán-Suárez thanks the financial support given by the Ministry of Education of Peru (MINEDU) through the project 179-2015-FONDECYT-DE for doctoral studies in Food Sciences at UNALM. The authors acknowledge the facilities provided by the Center of Spectroscopy and Electron Microscopy (CESMI) of the University of Concepcion and the support provided by Dr. Gladys Ocharan for the SEM-EDS images analysis in Lima.
14
objeto de conferencia
Publicado 2019
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This work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science,Technology and Technological Innovation (CONCYTEC-PERU).
15
objeto de conferencia
Publicado 2017
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Pneumonia is one of the major causes of child mortality, but it is curable if one can achieves early diagnostics. Unfortunately, in developing countries there is a lack of infrastructure and medical experts in rural areas to provide the required diagnostics opportunely. Lung ultrasound echography has proved to be an important tool to detect lung consolidates as evidence of pneumonia. The use of ultrasound to detect pneumonia is limited by the image analysis for interpretation, which is carried by human experts. Pattern recognition and image analysis is a potential tool to facilitate recognition of pneumonia consolidates in absence of medical experts for automatic diagnostics. To perform an automatic analysis of lung ultrasound images for pneumonia detection, the noise introduced by the image portion of the skin, notably complicates the processing and interpretation. This paper presents a...
16
objeto de conferencia
Publicado 2018
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The authors would like to thank Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnol ´ ogica ´ , Peru (CONCYTEC), Fondo Nacional de Desarrollo Cient´ıfico y Tecnologico ´ , Peru (FONDECYT) for the financial support; and Autoridad Nacional del Agua, Peru (ANA) for providing the satellite images.
17
artículo
Publicado 2020
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This work proposes an algorithm for scalpel region detection using color segmentation and edge detection. The input images are obtained with a fixed camera that has a line of view perpendicular to the scalpel plane. Three squares of red, green and blue colors were added to the scalpel in order to serve as fiducials. For the detection of those marks, the use of two methods was evaluated: One based on the application of thresholds to the color components, and the other based on the use of a fuzzy rule machine. The experimentation shows that both approaches provide similar results. Some morphological operations are then applied in order to detect the scalpel region. The algorithm was successfully tested in several cases, and some examples of the results are presented and analyzed. © 2020 IEEE.
18
artículo
Publicado 2024
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This project focuses on developing an NLP-based text analysis tool to evaluate Android app user feedback, specifically collected from F-Droid. The lack of an automated solution to analyze and understand these opinions, classifying them into specific topics, motivates research. The goal is to provide developers, users, and data analysts with a detailed view of user preferences and perceptions. Using data sets in English between 2014 and 2017, the proposal is implemented in Python with the Pandas library. The BERT model is used for classification, with a specific focus on the comparison of different models. The graphical interface is built in Visual Studio, allowing users to enter comments and obtain topic rankings, along with word cloud visualizations.
19
artículo
Publicado 2021
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For social robots, knowledge regarding human emotional states is an essential part of adapting their behavior or associating emotions to other entities. Robots gather the information from which emotion detection is processed via different media, such as text, speech, images, or videos. The multimedia content is then properly processed to recognize emotions/sentiments, for example, by analyzing faces and postures in images/videos based on machine learning techniques or by converting speech into text to perform emotion detection with natural language processing (NLP) techniques. Keeping this information in semantic repositories offers a wide range of possibilities for implementing smart applications. We propose a framework to allow social robots to detect emotions and to store this information in a semantic repository, based on EMONTO (an EMotion ONTOlogy), and in the first figure or table...
20
artículo
Publicado 2019
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Imaging of musculoskeletal tissue dynamics is currently an exploratory field with the goal of aiding rehabilitation and performance evaluation of pathological or asymptomatic patients. In this pilot study, initial elasticity assessments of the biceps brachii were conducted in a novel crawling wave sonoelastography (CWS) system implemented on a research ultrasound instrument with graphical processing unit capabilities, displaying quantitative elasticity values at 4 frames per second. The CWS system computes the tissue stiffness with the generation of an interference pattern from external vibrators, which can overcome depth limitations of imaging systems with internal excitation sources. Validation on gelatin-based phantoms reported low bias of elasticity values (4.7%) at low excitation frequencies. Preliminary results on in vivo muscle characterization are in accordance with average elast...
