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text processing » meat processing (Expander búsqueda), event processing (Expander búsqueda), fruit processing (Expander búsqueda)
1
artículo
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently.
2
artículo
Publicado 2018
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Disruptive technologies and their impact on journalism and communication force us to assume challenges in learning new techniques for data and information processing. Interdisciplinary knowledge is evident in the teaching of new professional profiles. Data journalism is an example of this, so the immersion into a data culture must be preceded by awareness in the learning of news applications, algorithms or the treatment of Big Data, elements that configure new paradigms among journalists of the media on the Internet. With the revision of texts, direct observation of selected applications and case study, some conclusions are established that contain a growing demand in the knowledge of new techniques. The results show the use of technological resources and the proposal of changes in the curricula of the communication faculties.
3
artículo
Publicado 2018
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Disruptive technologies and their impact on journalism and communication force us to assume challenges in learning new techniques for data and information processing. Interdisciplinary knowledge is evident in the teaching of new professional profiles. Data journalism is an example of this, so the immersion into a data culture must be preceded by awareness in the learning of news applications, algorithms or the treatment of Big Data, elements that configure new paradigms among journalists of the media on the Internet. With the revision of texts, direct observation of selected applications and case study, some conclusions are established that contain a growing demand in the knowledge of new techniques. The results show the use of technological resources and the proposal of changes in the curricula of the communication faculties.
4
artículo
This paper reviews the most recent literature on experiments with different Machine Learning, Deep Learning and Natural Language Processing techniques applied to predict judicial and administrative decisions. Among the most outstanding findings, we have that the most used data mining techniques are Support Vector Machine (SVM), K Nearest Neighbours (K-NN) and Random Forest (RF), and in terms of the most used deep learning techniques, we found Long-Term Memory (LSTM) and transformers such as BERT. An important finding in the papers reviewed was that the use of machine learning techniques has prevailed over those of deep learning. Regarding the place of origin of the research carried out, we found that 64% of the works belong to studies carried out in English-speaking countries, 8% in Portuguese and 28% in other languages (such as German, Chinese, Turkish, Spanish, etc.). Very few works of...
5
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...
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 2019
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The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a ...
9
artículo
Publicado 2024
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Electoral processes are one of the most important pillars of democracy. Transparent, fair and representative elections are the basis of the Western democracies. However, holding electoral processes does not necessarily guarantee the establishment and exercise of the democracy. Elections based on intimidation, threats, insecurity, fear, violence, harassment, fraud, vote buying, abuse, manipulation and exploitation of vulnerable conditions are threats to democracy and an expression of the exercise of corruption. Latin America in recent years has been characterized by adopting democratic governments. In recent decades, almost all countries in the region have managed to overthrow authoritarian, military and dictatorial governments. However, the democratic exercise of citizens in local, regional and national elections is often questioned due to the lack of integrity and transparency of the pr...
10
artículo
Publicado 2023
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The aim of this study was to conduct a bibliometric analysis of the literature on advance customs clearance published in Scopus between 2006 and 2023. It was a bibliometric data study to measure scientific production through indicators. Keywords in English (advance, customs, clearance) were used to select 74 Scopus documents relevant to the study. According to the results, scientific production peaked in 2018, 2016 and 2012 (n=22; 29.7%). In addition, the United States accounted for 28.1% of all publications (n=32), 9 papers were published in Journal of International Economics and the most cited author was Manova, K. (481 citations; n=2 papers). The vast majority of these publications (92%) were research papers in the fields of economics, econometrics and finance (43%), social sciences (20%) and business, management and accounting (14%). It is concluded that the study conducted on advanc...
11
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.
12
artículo
Publicado 2023
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Understanding why users continue or discontinue using specific technology is vital for its providers. Existing literature has explored the reasons for continuance and discontinuance by taking into account both rational and emotional factors. However, one question remains unanswered: Why do some users depend more on rational factors for decision-making, while others rely more on emotional factors? This study addresses this question by integrating cognitive decision-making styles and the fear of making incorrect decisions into traditional continued usage models. Data were gathered from 285 TV users and analyzed using structural equation modeling. The results demonstrate that the introduced constructs moderated the direct effects of rational and emotional factors. The contribution of the study lies in incorporating the underlying cognitive processes of decision-making. It presents two actio...
13
artículo
Publicado 2023
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A dissatisfied customer with a product and/or service is motivated to express a complaint. Classifying complaints manually is a process that represents high costs in human and material resources. Artificial Intelligence (AI) allows the use of various algorithms to perform tasks that can simulate human intelligence, a branch of this is Natural Language Processing (NLP), its objective is that machines have the capacity to understand human language, allowing, for example, to classify and categorize data automatically. This article provides a systematic review of the literature addressing challenges in the classification of complaint texts, such as the lack of class balance, the presence of unlabeled data, and the interpretation of model results. Preprocessing techniques are explored, such as tokenization, stopword removal, and lemmatization, which influence model performance. Additionally, ...
14
artículo
Publicado 2023
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Precision agriculture brought with it the implementation of new digital technologies, mainly autonomous vehicles, satellite images, IoT and artificial intelligence, to provide economic, productive, and environmental benefits in the agricultural field. However, the main applications are focused on data management and monitoring of crop fields, so agricultural processes such as planting and harvesting are not yet fully automated. A clear example of this occurs in the cultivation of rice, which despite being one of the most important agricultural products in the world, the manual production method continues to predominate in developing countries. This work presents a design of an autonomous terrestrial vehicle capable of carrying out the rice transplantation process, having as its main characteristics its ability to move in the field of cultivation at a speed of 0.75m/s, transport a payload...
15
artículo
Publicado 2022
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The aim of this study was to reveal formative assessments as being a component of the teaching-learning process in the university context in post-COVID-19 times. This study has focused on the qualitative approach through the interpretive phenomenological method. The data gathering tool used was that of a semi-structured interview with seven professors from the education and engineering programs at the Universidad Nacional José María Arguedas, Peru. The methodological procedure involved the organization through the Atlas.ti computer program and the transcription of the information through content analysis, resulting in the emergence of validated categories through the triangulation process reflecting the phenomenological reduction. The results showed there to be three categories: the role of the professor in the formative assessment, socio-emotional bonding, and learning feedback. In co...
16
artículo
Publicado 2024
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This study aims to improve the fabric-cutting process of cotton garment-exporting micro and small businesses by identifying and eliminating waste, defined as the processes that do not add value in cutting area of a textile company. In addition, the lean manufacturing approach is applied by employing tools such as value stream mapping (VSM), single-minute exchange of dies (SMED), and work standardisation. The proposed philosophy is based on data analysis, economic validation, and simulation using the historical data from the company under study. Consequently, a decline in default rework and delayed processes along with an increase in the productivity index is expected.
17
artículo
Publicado 2020
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Research on graphic organizers and reading comprehension has taken up new reins in the knowledge about the reader's mental processes, but it has been avoided to understand the levels in the reading process. The importance of organizers often focuses on the power they demonstrate to allow the reader to analyze and map ideas, especially concept maps and mind maps. In this study, we propose to determine the effects of graphic organizers on text comprehension at the school stage. The study is quantitative of quasi-experimental design. It was developed in 42 students from the primary level of Callao, Peru. The results allow concluding that the graphic organizers improved the comprehension of texts in general. The evidences remit significant differences with scores compared at the literal level. The results of inferential understanding presented data that revealed improvement, although it was ...
18
artículo
Publicado 2025
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The purpose of this study is to check the intellectual capital's role in shaping green process innovation. This article contends the company's capacity to create, possess, incorporate, and implement environmentally friendly intellectual assets in its activities will result in a higher degree of performance in terms of innovative green processes. This performance serves as an indicator of the company's enduring dedication to an environmentally conscious strategy. The industries chosen for this studycomprised textile, chemical, pharmaceutical, and steel based in Mexico. The random sampling technique was used to gather data. Upon analyzing the gathered data, we used only 253 questionnaires for analysis, representing a response rate of 42.7%. Findings indicate green strategic intent significantly influences three components of intellectual capital: human, relational, and organizational capit...
19
artículo
Publicado 2022
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This study aimed to analyze the effect of problem-based learning on metacognitive abilities in the conjecturing process of junior high school students. To reach this purpose, a mixed-methods design, which is a combination of quantitative and qualitative methods, was used. +e quantitative method was used to analyze the metacognitive abilities of the students’ conjecturing process, while the qualitative method was used to explore observation and interview data. +e subjects of this study consisted of 60 eighthgrade students. Two learning models were compared, namely the problem-based learning model and the conventional learning model. +e metacognitive abilities of students’ conjecturing process were measured by a pattern generalization problem-solving test. After collecting the data and analyzing them through the independent-samples t-test, it was revealed that the PBL had a significant...
20
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.
