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https://purl.org/pe-repo/ocde/ford#3.03.03
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https://purl.org/pe-repo/ocde/ford#5.02.04
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ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades
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https://purl.org/pe-repo/ocde/ford#5.03.01
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http://purl.org/pe-repo/ocde/ford#5.03.00
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https://purl.org/pe-repo/ocde/ford#2.02.04
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https://purl.org/pe-repo/ocde/ford#3.02.08
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validation process » vaccination process (Expander búsqueda), evaluation process (Expander búsqueda), filiation process (Expander búsqueda)
data validation » data calibration (Expander búsqueda), total validation (Expander búsqueda), a validation (Expander búsqueda)
validation process » vaccination process (Expander búsqueda), evaluation process (Expander búsqueda), filiation process (Expander búsqueda)
data validation » data calibration (Expander búsqueda), total validation (Expander búsqueda), a validation (Expander búsqueda)
1
artículo
Publicado 2024
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This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.S Turbo. The system enhances operational efficiency through rigorous data preprocessing and specialized fine-tuning, validated on a simulated mining dataset. Results show significant improvements: data extraction time reduced by 94 % and visualization time by 97.6%. These improvements indicate a transformation in efficiency, usability, and user satisfaction. Despite limitations in data variability and complexity, this pioneering approach highlights the potential of NLP and machine learning in modernizing the mining industry and supporting data-driven decision-making.
2
artículo
Publicado 2015
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Today it is difficult for an SME to apply the Quality Models and proposed tests such as CMMI, TMMi,, TMap, IEEE Standard referring to the process of V & V, this primarily by: 1) the degree of complexity,; 2) cost constraints that SMEs do not have enough money to hire market specialists that can provide the directives they need or 3) simply because of the ignorance that exists about the benefits obtained. The present research has as main objective to develop a methodological framework Process Verification and Validation adjusted for socioeconomic reality of SME. The framework was applied to the project Inventory Control System of the Company QBOSS SAC, the initial situation of the company was analyzed, then the methodological framework developed was applied, and finally the results were positive for the organization.
3
artículo
Publicado 2015
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Today it is difficult for an SME to apply the Quality Models and proposed tests such as CMMI, TMMi,, TMap, IEEE Standard referring to the process of V & V, this primarily by: 1) the degree of complexity,; 2) cost constraints that SMEs do not have enough money to hire market specialists that can provide the directives they need or 3) simply because of the ignorance that exists about the benefits obtained. The present research has as main objective to develop a methodological framework Process Verification and Validation adjusted for socioeconomic reality of SME. The framework was applied to the project Inventory Control System of the Company QBOSS SAC, the initial situation of the company was analyzed, then the methodological framework developed was applied, and finally the results were positive for the organization.
4
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
5
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
6
artículo
Publicado 2023
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Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic process of type 2 diabetes mellitus and to offer a tool that facilitates the diagnosis of the dis-ease quickly and easily. Different machine learning models were designed and compared, being random forest was the algorithm that generated the model with the best performance (90.43% accuracy), which was integrated into a web platform, working with the PIMA dataset, which was validated by specialists from the Peruvian League for the Fight against Diabetes organization. The result was a decrease of (A) 88.28% in the information collection time, (B) 99.99% in the diagnosis time, (C) 44.42% in the diagnosis cost, and (D) 100% in the level of difficulty, concluding that the appl...
7
artículo
Publicado 2023
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Currently, type 2 diabetes mellitus is one of the world's most prevalent diseases and has claimed millions of people's lives. The present research aims to know the impact of the use of machine learning in the diagnostic process of type 2 diabetes mellitus and to offer a tool that facilitates the diagnosis of the dis-ease quickly and easily. Different machine learning models were designed and compared, being random forest was the algorithm that generated the model with the best performance (90.43% accuracy), which was integrated into a web platform, working with the PIMA dataset, which was validated by specialists from the Peruvian League for the Fight against Diabetes organization. The result was a decrease of (A) 88.28% in the information collection time, (B) 99.99% in the diagnosis time, (C) 44.42% in the diagnosis cost, and (D) 100% in the level of difficulty, concluding that the appl...
8
artículo
Publicado 2025
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This study develops and empirically validates an integrated conceptual model that investigates the causal relationships among Total Productive Maintenance (TPM), Jidoka, and economic sustainability (ECSU) within the manufacturing industry. Based on Resource and Capability Theory as well as Systems Theory, the model posits that TPM directly influences both jidoka and ECSU, while jidoka acts as a mediator in the relationship between TPM and ECSU. Utilizing structural equation modeling (SEM-PLS) and data collected from 357 surveys of the maquiladora industry in Ciudad Juárez, Mexico, the analysis confirms that TPM positively affects jidoka (β=,632, p<0,001) and ECSU (β=0,340, p<0,001). Furthermore, jidoka contributes significantly to ECSU (β=0,358, p<0,001) and mediates the effect of TPM on ECSU (β=0,226), resulting in an increased total effect of β=0,566. The researchers con...
9
artículo
Publicado 2019
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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.
10
artículo
Publicado 2017
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In the sustainable tourist sector today, there is a wide margin of loss in small and medium-sized enterprise (SMEs) because of a poor control in logistical expenses. In other words, acquired goods are note being sold, a scenario which is very common in tourism SMEs. These SMEs buy a number of travel packages to big companies and because of the lack of demand of said packages, they expire and they become an expense, not the investment it was meant to be. To solve this problem, we propose a Predictive model based on sentiment analysis of a social networks that will help the sales decision making. Once the data of the social network is analyzed, we also propose a prediction model of tourist destinations, using this information as data source it will be able to predict the tourist interest. In addition, a case study was applied to a real Peruvian tourist enterprise showing their data before ...
11
objeto de conferencia
Publicado 2017
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The aim of this work is to design, implement and validate a primary communication system based on a brain-computer interface. There are people who-for various reasons-are affected in their ability to externalize their communication, however, they receive and process information from different sources. This system would allow basic communication-allowing the user to answer closed questions-through thought. The system was implemented by analyzing and interpreting electrical signals from brain activity, collected through electrodes attached to the scalp. The analog electrical signals were received by a data acquisition system and digitized for computer analysis. We implemented different signal processing techniques, pattern analysis, and classification and discrimination methods. By analyzing these signals and interpreting the electrical patterns, was achieved understand answers to simple q...
12
artículo
In this paper, we propose an optimization model for medical services processes to reduce waiting time using process mining. In medical services, there is a high percentage of dissatisfaction with medical care due to the processes related to appointment booking and waiting time for medical consultation. As a result, patients change medical services due to the urgency of the symptoms they suffer, generating distrust in health services in Peru. Through a medical information system, events of medical care processes are collected for analysis using the Celonis tool. The process mining discipline uses the discovery of the study process to identify existing bottlenecks in the process and violations that are included when monitoring process events. The proposed model is based on identifying the existing bottlenecks in the processes, which are appointment booking and office care, as these process...
13
artículo
The purpose of this instrumental study was to show how to conduct an RStudio process to obtain a content validity visual representation through the alluvial function of the ggplot2 package to Condom Use Self-Efficacy Scale (This paper explains the stages to analyze content validity using a visual representation of an interrater agreement and item – factor belonging and focused mainly on qualitative aspects to evaluate the judge’s behavior and items’ weight. Furthermore, the paper discusses classical criteria to obtain content validity and its representation. The visual representation used shows high relevance to present the qualitative data associated with the content validity analysis since it allows to visualize in a differential way the weight of the dimensions in each item, the content validity coefficient in the set of dimensions, and the behavior of the judges in the overall ...
14
artículo
Publicado 2020
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Objective. To construct and validate questionnaires on reflective practice and practicing teacher professional development. Method. It was a psychometric study of content validity and reliability through the application of a pilot test. 20 expert judges participated in the first measure. Data were processed by Aiken's V coefficient, confirming values by dimensions. Results. For the professional development variable, the values were: pedagogical = 0.97, social personal = 0.96, and institutional = 0.98. For the reflective practice variable, the values were: reflection in practice = 0.98, reflection on practice = 0.97 and reflection for practice = 0.98. Similarly, for the pilot test, 18 subjects participated according to the profile required by the research, obtaining reliability results alfa = 0.901 on 30 items of the professional development construct, and alfa = 0.948 on 20 items of the ...
15
artículo
Publicado 2018
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The present investigation has focused on the analysis of the uncertainty of geospatial data in the initial stage of oil exploration. Through the evaluation of reliability indices of different data processing methods, a method has been developed that considers Voluntary Geographical Information (VGI) as a new data source and Geodatabase (GDB) as the repository where this information has been validated. With the creation of “Uncertainty Sphere” artifact that has been based on the algorithms of Guide for the Expression of Uncertainty and Measurement (GUM) and the recommendations of ISO 19157: 2013, Geographic Data Quality, Uncertainty Space has been delimited from data collected. The application of a Geographic Information System (GIS) has managed input data (IGV), geospatial processing (artifacts), storage (GDB) and information products (maps). As a case of study, geopositioning uncert...
16
artículo
Publicado 2021
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Objective. The objective of the current study was to evaluate critical nutrients of industrialized foods and compare them with the technical parameters established in the Peruvian regulations, in its two stages of implementation, referring to front-of-package labeling before the beginning of its validity in June 2019. Methods. Cross-sectional study in which the critical nutrients of sodium, total sugar, saturated fat and transfat were analyzed from data declared in the nutritional labels of 511 processed and ultra-processed foods that were part of the products purchased for the consumption of 88 families of students from one private university in Lima. The technical parameters used to evaluate the critical nutrients are those established in the Regulation of Law 30021. All analyses were carried out with Excel and SPSS version 21, Student’s t-statistics and McNemar’s test were used. R...
17
artículo
Publicado 2020
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J. Manrique thanks the financial support of the Proyecto Concytec - Banco Mundial, through its executing unit Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (Fondecyt), for its research work Dynamic Modeling and Validation of a Refrigeration System and Cold Room for Fruit Preservation..
18
artículo
Publicado 2023
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SMBs have been crucial to the Colombian economy thanks to their contribution to job creation and their positive impact on production. Thus, this research aimed to identify the key categories and variables that influence SMB internationalization, based on the Uppsala model and the theory of dynamic capabilities. The methodology followed was structural equation modeling. The sample included 100 SMBs of the textile-dressmaking sector, geographically located around the city of Medellín, Colombia, in Valle de Aburrá. To define the theoretical relationships, among categories, variables, and hypotheses, was created a path diagram as a strategy to better observe causal relationships between dependent and independent variables. To determine the instrument’s reliability, we analyzed the data using SPSS and then ran the structural equations on the LISREL software. The results allowed us to iden...
19
artículo
Publicado 2024
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Currently, in various fields, the demonstration of soft skills by individuals is highly valued, which is why university training processes must aim to enhance these skills among students. In this regard, a cross-sectional analytical study was developed under a holistic approach, aiming to analyze the alignment between university teaching practices and the promotion of students' soft skills. A survey-type instrument was created to capture students' perceptions regarding this relationship. The validation process of the instrument, which was completed by 1,677 participants from various undergraduate programs at a university center in western Mexico, is presented. The content validity index obtained from expert judges was 0.837, while Cronbach's alpha was 0.907. Bartlett’s test of sphericity and the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy were applied for exploratory facto...
20
tesis de grado
Publicado 2023
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El presente proyecto referencia la estrategia digital, atención al ciudadano y la aplicación de las medidas correctivas a fin del cumplimiento de los marcos normativos gubernamentales que dictan medidas extraordinarias para garantizar el acceso a la información farmacéutica del mercado peruano a través de recursos informativos bajo administración de la Dirección General de Medicamentos, Insumos y Drogas – DIGEMID, es necesario la mejora de los procesos e implementación de una nueva plataforma tecnológica que permita el acopio de información en tiempo real de los productos farmacéuticos del sector a través de la correcta validación de datos y un nivel de confiabilidad conforme a la estructura normativa, dicha información será mostrada en el observatorio de precios para la opinión pública, interesados y unidades gubernamentales, todo el proceso se realizará manteniendo ...
