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1
artículo
Publicado 2015
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Over the past years, a change of feedback data in terms of quantity, quality, and timeliness could be observed in production. The generation of high resolution production feedback data enables producing companies to apply big data analytics in order to create competitive advantages. This paper describes how logistical models can be used to conduct big data analytics. It will be explained how such logistic-oriented big data analyses can be applied to improve the logistical performance of producing companies. The results will be illustrated with the help of a best practice project.
2
artículo
Nowadays information systems are struggling to achieve the desired success, because one of its components is the development of web application struggle to be done, this is it because it takes a while for the creation of programming and once separately to create the data model, there is no technique that integrates both. Recent studies have shown that there are several programming techniques such as object oriented programming, aspect‐ oriented programming and programming targeted agents, and the creation of the data model are also techniques such as database connection object‐oriented entity, The this research aims to develop a web development technique based on database modeling object‐oriented model using entity relationship. Consequently, this study proposes two measures to validate the performance of web application development using analysis of variance, first the number of l...
3
artículo
Nowadays information systems are struggling to achieve the desired success, because one of its components is the development of web application struggle to be done, this is it because it takes a while for the creation of programming and once separately to create the data model, there is no technique that integrates both. Recent studies have shown that there are several programming techniques such as object oriented programming, aspect‐ oriented programming and programming targeted agents, and the creation of the data model are also techniques such as database connection object‐oriented entity, The this research aims to develop a web development technique based on database modeling object‐oriented model using entity relationship. Consequently, this study proposes two measures to validate the performance of web application development using analysis of variance, first the number of l...
4
artículo
Publicado 2018
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La competitividad proporciona mayores niveles de productividad, eficiencia y calidad, de ahí su importancia para medirla. Este trabajo presenta un modelo DEA para medir la competitividad de las manufactureras del sector textil peruano. El modelo propuesto consta de dos fases: la primera fase, mide los niveles de desarrollo de la calidad, innovación y eficiencia de las empresas; la segunda fase la competitividad de las empresas considerando su calidad innovación y eficiencia. Para ilustrar el modelo propuesto se usó el software SIAD aplicado a 16 empresas del sector de manufactura textil, y se muestra el ranking de las empresas por cada factor y por la competitividad.
5
artículo
Publicado 2016
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The present work has as objective to apply data mining techniques to develop a predictive model to forecast the chance of passing that will have a college student at the time of enrolling in a particular subject. Given that the academic record of the student can be known, and based on that information, we propose an Artificial Neural Network (ANN) that allows, using various configurations, to predict and assess our goal. The model has been applied to a compulsory subject of higher education of a University and given the results obtained. This model can be applied to any other subject analogous with satisfactory results.
6
artículo
Publicado 2005
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A software was implemented in visual environment that carries out the analysis of covering of a BTS of cellular telephony, starting from parameters provided by the maker of the antenna and of the digital data corresponding to the topography of the place. The implemented software has graphic interfaces to enter the parameters of the antenna, radiation pattern, etc. and coordinated of the location. The program presents a visual report of the covering by means of a code of colors, indicating the different reception levels and the report on the obtained data of the calculation of covering of a station bases, using mathematical models for systems outdoor. The data for the validation of the present work were obtained of the implementation of a station it bases cellular of tests, consistent in a transmitter of cellular telephony in the band of 800 MHz, sectoral antenna, was carried out the mens...
7
artículo
Publicado 2023
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Within the commercial sector, SMEs represent more than 90% of all companies; they are responsible for 50% of GDP and generate between 60% and 70% of employment worldwide, which is why they are critical in the Peruvian economy. However, through an exhaustive review of the literature and sectoral analysis, we concluded they have a high risk of failure in the short term due to various problems, such as poor inventory management. In Peru, the provisions for carrying out inventories usually have a ratio of between 1% and 1.4% of the total inventory stock; thus, SMEs belonging to the hardware sector more frequently present this problem that affects the profitability of their companies. For this reason, the need arises to design an inventory control model that increases the productivity of hardware SMEs. After the pilot implementation of the first component, an increase in distribution efficien...
8
artículo
ABSTRACT This paper presents a new approach for determining the functional business model required for the data model of the future automated system. The scope of this new scheme covers the typical business that requires information systems for business decision making. Patterns of functional areas of any enterprise are analyzed, reaching present standard schemes for each. These patterns are displayed and properly supported. Information Systems for life undergo a series of adjustments via maintenance. These changes generate many costs in time and money. The strategy to avoid this situation is to build on standard business models, which can be customized according to parameters in particular. In order to find the standard business model there are four basic functions Macro universally must be present in all areas of business. These macro functions are pr...
9
artículo
This paper presents a new approach for determining the functional business model required for the data model of the future automated system. The scope of this new scheme covers the typical business that requires information systems for business decision making. Patterns of functional areas of any enterprise are analyzed, reaching present standard schemes for each. These patterns are displayed and properly supported. Information Systems for life undergo a series of adjustments via maintenance. These changes generate many costs in time and money. The strategy to avoid this situation is to build on standard business models, which can be customized according to parameters in particular. In order to find the standard business model there are four basic functions Macro universally must be present in all areas of business. These macro functions are presented a...
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
documento de trabajo
Ever since the inception of brand values, these have become a benchmark for many data-driven strategies, eventually providing a basis for vertical/horizontal integrations, as well. In recent decades, brands have become comparable across the industries, based on their value derived either from the customer perception or in terms of the firm financials. Numerous models have been developed in time to measure the customer-based brand equity; nevertheless, they all evaluate brand equity in an absolute sense. The present research paper provides an avenue to measure the customer-based brand equity in a relative sense using a satisficing DEA model. The information for this model has been collected through a customer-based survey questionnaire in line with predefined brand equity dimensions, which have been verified through a confirmatory factor analysis. We demonstrate the approach by means of a...
12
artículo
Publicado 2023
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“Investing in children's well-being and supporting high-quality pre-school education is a significant component of its promotion (ECE). All children have the right to participate. ECE teachers' thoughts about children's participation were examined to see if they were linked to children's perceptions of their participation. On the other hand, current studies focus on a single categorization method with lower overall accuracy. The findings of this study provided the basis for the development of an ensemble machine learning (ML) approach for measuring the participation of children with learning disabilities in educational situations that were specifically developed for them. Visual and auditory data are collected and analyzed to determine whether or not the youngster is engaged during the robot-child interaction in this manner. It is proposed that an ensemble ML technique (Enhanced Deep N...
13
artículo
Publicado 2021
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This study aims to evaluate the future of confirmed cases of Covid-19 in Peru, using the Gompertz nonlinear regression model. The data were obtained from official reports of the Peru Ministry of Health (MINSA). The accumulated value of fatal cases was subjected to iterative analysis by the non-linear least-squares method to achieve a model. Given the first-order derivative of the predictive model was obtained the daily fatal cases curve. Using the fatality rate as the proportion between infected and fatal cases, both of them would also provide days average lag to estimate the epidemic curve. For the moment, the predictive model suggests that Peru would be in a slow descent in the epidemic curve, moving away from the peak of contagions per day. The trend of reaching about 550 thousand infected and 19 thousand deaths until the end of the year 2020. The predictions of the mathematical model...
14
artículo
Publicado 2021
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This article proposes a data quality evaluation model developed on the primary basis of the ISO/IEC 25012 standard, applied to a University Academic Management System, to improve data quality. The proposed model is developed from the perspective of the data consumer and the vision of inherent data quality. The sample consisted of the data stored in the Academic Management System of the Universidad Nacional Micaela Bastidas, Apurímac, Perú, with 22 tables, 154 attributes, and 319 685 records. The model begins with data quality requirements as the primary input for its evaluation and ends with an improvement plan, automatically implemented using data cleaning tools and SQL code. The characteristics that affect data quality problems are accuracy, consistency, compliance, and timeliness. Finally, I conclude that it is possible to improve the quality of data by applying the proposed model, ...
15
artículo
Estimation of nitrogen content in sugarcane based on vegetation indices derived from Sentinel-2 data
Publicado 2025
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Sugarcane occupies a large territorial scale in the world and is constantly searching for mechanisms to monitor nutrients in the crop production cycle, using non-destructive methods. The study aimed to estimate the nitrogen content in the sugarcane leaf was developed in the 2021/2022 harvest on two commercial fields of dryland cultivars (RB867515 = 50.75 ha) and (CVSP7870 = 48.56 ha) at the Serranópolis-Goiás mill, evaluating the efficiency of the biochemical vegetation indices Fraction of Absorbed Photosynthetically Active Radiation (fAPAR) and Canopy Chlorophyll Content (CCC) processed using the radiation transfer model RTM PROSAIL, compared to the Normalized Difference Vegetation Index (NDVI) and Green Normalized Difference Vegetation Index (GNDVI), processed using mathematical band ratio models. Both were based on a time series of Sentinel-2 data as input variables. The validation ...
16
artículo
Publicado 2024
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Activations of streams, known as Landslide, are natural events that cause considerable damage to property and infrastructure, causing losses of around 5 billion dollars, which negatively impacts the economic stability of the country and the people. In this work, a predictive analysis model based on machine learning is proposed to predict the occurrence of Landslide in Chosica, Peru. The model was trained with data from hydrological and meteorological sensors and was able to identify behavioral patterns of the landslide with an accuracy of 85%. This study demonstrates that the proposed model is a viable tool that can perform an acceptable prediction rate with low error control.
17
tesis doctoral
Publicado 2018
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Busca realizar predicciones y ajustes de datos longitudinales y de supervivencia usando modelos jerárquicos dinámicos. Modelos para datos longitudinales y tiempo hasta ocurrir un evento de interés son propuestos en el contexto de modelaje conjunta. Estructuras de regresión diferentes para los datos longitudinales son presentadas con evolución basada en modelo linear dinámico jerárquico generalizado. La función de riesgo asume forma paramétrica y semiparamétrica. El procedimiento de inferencia es desenvuelto usando abordaje bayesiano. Cuatro conjuntos de datos son usados para ilustrar las metodologías propuestas.
18
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.
19
objeto de conferencia
Water resources availability in the southern Andes of Peru is being affected by glacier and snow retreat. This problem is already perceived in the Vilcanota river basin, where hydro-climatological information is scarce. In this particular mountain context, any water plan represents a great challenge. To cope with these limitations, we propose to assess the space-time consistency of 10 satellite-based precipitation products (CMORPH–CRT v.1, CMORPH–BLD v.1, CHIRP v.2, CHIRPS v.2, GSMaP v.6, GSMaP correction, MSWEP v.2.1, PERSIANN, PERSIANN–CDR, TRMM 3B42) with 25 rain gauge stations in order to select the best product that represents the variability in the Vilcanota basin. For this purpose, through a direct evaluation of sensitivity analysis via the GR4J parsimonious hydrological model over the basin. GSMap v.6, TRMM 3B42 and CHIRPS were selected to represent rainfall spatial variabi...
20
artículo
Publicado 2018
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The information that flows in the justice system, particularly in Peru, is not shared in real time due to the heterogeneity of its information systems and platforms, generating excessive delay in the judicial process. For this reason, they have been developing interoperability models for this sector for more than a decade, highlighting the European model e-CODEX that integrates fourteen countries with diverse and heterogeneous systems and platforms. However, these models generate information duplication and present difficulty in their implementation due to the legal regulations and standards required. Here, we propose an interoperability model based on data federation for the Peruvian justice sector, this will allow to have information in real time, distributed, without duplicity, transparent to the user and easy to implement for heterogeneous and inherited systems and platforms. The pro...
