Tópicos Sugeridos dentro de su búsqueda.
Tópicos Sugeridos dentro de su búsqueda.
1
tesis de grado
Publicado 2019
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RESUMEN El presente informe de tesis tiene como enfoque principal, poder analizar de qué manera influye la implementación de una red social en el desarrollo profesional de los egresados de las carreras relacionadas a la Association for Computing Machinery en el período 2015 - 2017. Para esta investigación se utilizó un diseño experimental, de tipo pre- experimental, ya que se ha manipulado una variable experimental, aplicando un pre test y post test, que ha permitido realizar una comparación cuantitativa en un momento previo y posterior. Se utilizó como instrumento tres encuestas, dos a los egresados en diferentes momentos de la investigación y una encuesta a un especialista que mida la calidad de la red social; así como un análisis documental y bibliográfico para la revisión de información. Los resultados obtenidos son trascendentales, pues permitieron recopilar el nivel d...
2
artículo
Publicado 2020
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The present live study is proposed with the objective of investigating the influence of negative emotions (i.e., stress) in the efficiency for verifying conceptual models. To conduct this study, we use a Model-driven Testing tool, named CoSTest, and our own version of stress detector within a competition setting. The experiment design, overview of the empirical procedure, instrumentation and potential threats are presented in the proposal. © 2020 ACM.
3
objeto de conferencia
Publicado 2018
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The nature of the software requirements is subjective and varied. For this reason the level of complexity increases according to the volume, especially when the requirements are made in a natural language. Therefore obtain quality software requirements that are understandable and unambiguous in the Spanish language becomes a necessity.
4
artículo
An Approach to Temporal Phase Classification on Videos of the Volleyball's Basic Reception Technique
Publicado 2020
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In this paper we provide an approach on sports analysis using Deep learning techniques. As part of a current project, the volleyball's basic reception technique has been divided into temporal phases. We performed an evaluation over our own labelled dataset consisting in 14814 frames from 69 videos depicting the desired reception technique. A model based on the YOLO algorithm was trained to locate the player region and trim the frames. Two time fusion methods over the frames wereproposed and evaluated with CNN models which were created based on the ResNet models and a transfer learning approach was used to train them. The results show that these models were able of classifying the frames with their corresponding phase with an accuracy of 92.21% in our best model. Also it can be seen that the RGB merging method shown in this paper helps to slightly improve the performance of the models. Fu...
5
objeto de conferencia
Publicado 2018
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This research was supported by CIENCIACTIVA, CONCYTEC and the National University of San Agustin (UNSA). We thank all professors who collaborate in the research.
6
objeto de conferencia
Publicado 2018
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The authors would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovacíón Tecnológica), FONDECYT (Fondo Nacional de Desarrollo Científico y Tecnológico) and UNSA (Universidad Nacional SanAgustín) of Perú.
7
artículo
Publicado 2021
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Nowadays, diffusion and preservation of cultural heritage are being supported by technology on the Web. Thus, the online availability of urban tourism information, as part of cultural heritage, has been of enormous relevance to activate the tourism in many countries. The necessity of a well-defined and standard model for representing this knowledge is being managed by semantic web technologies, such as ontologies. However, current proposals represent partial knowledge of cultural heritage. In this context, this work proposes an ontology for indoor and outdoor environments of a city to represent the cultural heritage knowledge based on the UNESCO definitions. This ontology has a three-level architecture (Upper, Middle, and Lower ontologies) in accordance with a purpose of modularity and levels of specificity. To demonstrate the utility and suitability of our proposal, we have developed a ...
8
objeto de conferencia
The authors would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica), FONDECYT (Fondo Nacional de Desarrollo Científico y Tecnológico) for supporting this project and also Ph.D. Jose Antonio Pow-Sang for his interest in the project.
9
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) and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
10
objeto de conferencia
Thanks to CIENCIACTIVA, CONCYTEC, UNSA and the pilot educational institutions San Antonio María Claret and Republica Federal Alemania, for the financing and support in the project called “Plataforma interactiva de programación visual con interfaces tangibles, con aplicación en la enseñanza de matemática en educación básica regular No. 18367-2016”, allowing the improvement of scientific research for the development of the country
11
artículo
Twitter is one of the most popular information source available on the Web. Thus, there exist many studies focused on analyzing the credibility of the shared information. Most proposals use either Twitter API or web scraping to extract the data to perform such analysis. Both extraction techniques have advantages and disadvantages. In this work, we present a study to evaluate their performance and behavior. The motivation for this research comes from the necessity to know ways to extract online information in order to analyze in real-time the credibility of the content posted on the Web. To do so, we develop a framework which offers both alternatives of data extraction and implements a previously proposed credibility model. Our framework is implemented as a Google Chrome extension able to analyze tweets in real-time. Results report that both methods produce identical credibility values, w...
12
artículo
Publicado 2020
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Autonomous robots are playing important roles in academic, technological, and scientific activities. Thus, their behavior is getting more complex, particularly, in tasks related to mapping an environment and localizing themselves. These tasks comprise the Simultaneous Localization and Mapping (SLAM) problem. Representation of knowledge related to the SLAM problem with a standard, flexible, and well-defined model, provides the base to develop efficient and interoperable solutions. As many existing works demonstrate, Semantic Web seems to be a clear approach, since they have formulated ontologies, as the base data model to represent such knowledge. In this article, we survey the most popular and recent SLAM ontologies with our aim being threefold: (i) propose a classification of SLAM ontologies according to the main knowledge needed to model the SLAM problem; (ii) identify existing ontolog...
13
artículo
Publicado 2020
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Ensuring the quality of user experience is very important for increasing the acceptance likelihood of software applications, which can be affected by several contextual factors that continuously change over time (e.g., emotional state of end-user). Due to these changes in the context, software continually needs to adapt for delivering software services that can satisfy user needs. However, to achieve this adaptation, it is important to gather and understand the user feedback. In this paper, we mainly investigate whether physiological data can be considered and used as a form of implicit user feedback. To this end, we conducted a case study involving a tourist traveling abroad, who used a wearable device for monitoring his physiological data, and a smartphone with a mobile app for reminding him to take his medication on time during four days. Through the case study, we were able to identi...
14
artículo
Publicado 2020
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Representation of the knowledge related to any domain with flexible and well-defined models, such as ontologies, provides the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. It is necessary to define how to compare such ontologies to decide which one is the most suitable for specific needs of users/developers. Since the emerging developing of ontologies, several studies have proposed criteria to evaluate them. Nevertheless, there is still a lack of practical and reproducible guidelines to drive a comparative evaluation of ontologies as a systematic process. In this paper, we propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural, and Domain Knowledge levels, considering Correctness and Quality perspectives. Since the evaluation methods of our proposal are base...
15
artículo
Publicado 2020
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Los robots autónomos están desempeñando un papel importante en las actividades académicas, tecnológicas y científicas. Por lo tanto, su comportamiento es cada vez más complejo. Las principales tareas de los robots autónomos incluyen mapear un entorno y localizarse a sí mismos. Estas tareas comprenden el problema de localización y mapeo simultáneos (SLAM). La representación del conocimiento de SLAM (p. ej., características del robot, información del entorno, información de mapeo y ubicación), con un modelo estándar y bien definido, proporciona la base para desarrollar soluciones eficientes e interoperables. Sin embargo, hasta donde sabemos, no existe una clasificación común de tales conocimientos. Muchos trabajos existentes basados en la Web Semántica han formulado ontologías para modelar información relacionada solo con algunos aspectos de SLAM, sin un arreglo...
16
objeto de conferencia
This material is based upon work supported in part by the U.S. Department of Energy, Ofce of Science, Ofce of Advanced Scientifc Computing Research, under contract number DE-AC05-00OR22725. Research sponsored in part by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Ofce of Science User Facility supported under Contract DE-AC05-00OR22725. We would like to thank the MINERvA collaboration for the use of their simulated data and for many useful and stimulating conversations. MINERvA is supported by the Fermi National Accelerator Laboratory under US Department of Energy contract No. DE-AC02-07CH11359 which included the MINERvA construction project. MINERvA construction support was also granted ...
17
artículo
Publicado 2018
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Nowadays people use mobile devices in different ways to make a profit. In this paper we present a literature review to know the use of the mobile devices as a learning tool, the factors that influence their use, and the advantages and disadvantages of the use of mobile applications that strengthen learning. Researchers seek to dispel doubts about the possibility of choosing mobile devices as tools for learning. As a result of this study it was found that the factors that influence the adoption of these tools are relevant, the advantages are really beneficial, and that students' academic performance can increase relatively.
18
artículo
Publicado 2017
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Current methods focus on the aspects related to the lessons learned, feedback and information sharing, however many organizations do not establish feedback mechanisms for organizational learning with the lessons learned as a result of process deployment initiatives participation. This paper describes the steps in order to identify the lessons learned as a result to put in practice the processes. It also provides a practical analysis of lessons learned identified in software process deployment initiatives in order to improve the knowledge in the organizations.
19
objeto de conferencia
Publicado 2016
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The Evolutionary Algorithms have main features like: population, evolutionary operations (crossover, mate, mutation and others). Most of them are based on randomness and follow a criteria using fitness like selector. The FP-AK-QIEA-R uses probability density function according to best of initial population to sample new population and uses rewarding criteria to sample around the best of every iteration using cumulative density function estimated for Akima interpolation, it was used for mono-objective problems showing good results. The proposal uses the algorithm FP-AK-QIEA-R and add Pareto dominance to experiment with multi-objective problems. The performed experiments use some benchmark functions from the literature and initial results shows a promissory way for the algorithm.
20
artículo
Publicado 2017
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Several theories of adoption models have been developed. All of them have different constructs depending on their application. Select a model is a difficult task because all of them have strong behavioural elements. In this paper a method of model selection is presented. The method was applied in order to select the most suitable model for an application related to device "Mobile Cash" technology. The method is based on four steps that are described in detail. The adoption models were evaluated based on eight criterions. In this article, shall be discussed each behavioral model such as TAM, IDT, TPB among others, and as a result the TAM model was selected. Finally, a model for Mobile Cash Adoption using TAM is present.
