Res. Comput. Sci.最新文献_第4页

Reducción de la dimensión de registros de evaluaciones académicas aplicando el algoritmo K-means 应用K-means算法减少学术评估记录的维度

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-39

V. Padilla-Morales, Saturnino Job Morales Escobar, Maricela Quintana, J. Albino, Oscar Herrera-Alcántara

引用次数: 0

Towards Personalized Summaries in Spanish based on Learning Styles Theory 基于学习风格理论的西班牙语个性化摘要研究

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/RCS-148-5-13

Uriel Ramírez, Yasmín Hernández, A. Martínez

引用次数: 1

Comunicación política en Twitter y su análisis automático mediante el uso de datos ordenados y visualización de información Twitter上的政治沟通及其通过使用有序数据和可视化信息的自动分析

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-24

Rocío Abascal-Mena

引用次数: 0

Algoritmo basado en reglas de asociación para la extracción de relaciones no taxonómicas en corpus de dominio 基于关联规则的域语料库非分类学关系提取算法

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-21

Irvin Yair Cabrera Moreno, Mireya Tovar, José de Jesús Lavalle-Martínez, M. González

引用次数: 1

Automated Fault Detection and Diagnostics for Aluminum Threads Using Statistical Computer Vision 基于统计计算机视觉的铝螺纹自动故障检测与诊断

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-4-3

Luis Alberto Arróniz Alcántara, Carlos Juárez Toledo, Irma Martínez Carrillo

{"title":"Automated Fault Detection and Diagnostics for Aluminum Threads Using Statistical Computer Vision","authors":"Luis Alberto Arróniz Alcántara, Carlos Juárez Toledo, Irma Martínez Carrillo","doi":"10.13053/rcs-148-4-3","DOIUrl":"https://doi.org/10.13053/rcs-148-4-3","url":null,"abstract":"The present work describes the use of statistical computer vision to detect presence-absence of aluminum threads in automotive parts, the vision system is based on a Keyence IV 500 camera and its statistical software. A real case of detection of an industrial aluminum thread was used to demonstrate the effectiveness of the non-invasive machine developed. The results show that using three sequenced tools: brightness adjustment, position reference and area calculation, the repeatability improves by 38%. The study verified the usefulness of the statistical computer vision for fault detection and diagnostics in aluminum threads, a standard statistical analysis of the results presented in the study demonstrates that parts with threads have a punctual performance and, the parts without threads or even without the hole have a statistical normal behavior. The developed method has the ability to automate the correct segregation of good parts with enhanced accuracy avoiding damage to the part, normal in conventional manual methods. The used camera and its brightness compensation demonstrated that environmental light has no effect to the results.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Speed Bump Detection on Roads using Artificial Vision 基于人工视觉的道路减速带检测

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-9-6

A. L. Ballinas-Hernández, Iván Olmos, J. A. Olvera-López

引用次数: 4

Clasificador de plantas medicinales por medio de Deep Learning

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-5

Juan Monroy-de-Jesús, A. Reyes-Nava, Fernando Olmos

引用次数: 2

Selection of IoT Platform with Multi-Criteria Analysis: Defining Criteria and Experts to Interview 用多标准分析选择物联网平台:定义标准和专家访谈

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-11-1

Roberto A. Contreras-Massé, C. A. O. Zezzatti, Vicente García, M. Elizondo-Cortés

{"title":"Selection of IoT Platform with Multi-Criteria Analysis: Defining Criteria and Experts to Interview","authors":"Roberto A. Contreras-Massé, C. A. O. Zezzatti, Vicente García, M. Elizondo-Cortés","doi":"10.13053/rcs-148-11-1","DOIUrl":"https://doi.org/10.13053/rcs-148-11-1","url":null,"abstract":"Industry 4.0 is having a great impact in all industries. This is not a unique product, but is composed of several technologies. IoT is a key intelligent factor that allows factories to act intelligently. By adding sensors and actuators to the objects, the object becomes intelligent because it can interact with people, other objects, generate data, generate transactions and react to the environment data. Currently there are very varied implementation options offered by several companies, and this imposes a new challenge to companies that want to implement IoT in their processes. The decision processes that companies must follow should not be free will or by hunches, since this contradicts a methodology and would make the decision process unrepeatable and unjustifiable. Decisions must be supported by methods that consider pros and cons of plural points of view that affect the decision process. With a wide range of IoT platforms, which are not directly comparable to each other, it seems that Multi-Criteria Decision Analysis (MCDA) can be useful to help companies make a decision on what platform to implement, depending on the circumstances prevailing in each company at the time to make the choice. This article shows the complexity of selecting an IoT platform and provides the key decision criteria that must be taken into account when evaluating IoT Platforms alternatives.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115275022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Determinación de los parámetros de la curva de brillo de nanocristales de óxidos de itrio por el método de los tres puntos 用三点法测定氧化钇纳米晶体的亮度曲线参数

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-1-3

F. Sánchez, M. Sosa

引用次数: 0

Impact of Managers and Human Resources on Supply Chain Performance 管理者和人力资源对供应链绩效的影响

Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-4-5

J. Mendoza-Fong, J. García-Alcaráz, Liliana Avelar Sosa, J. Díaz-Reza

{"title":"Impact of Managers and Human Resources on Supply Chain Performance","authors":"J. Mendoza-Fong, J. García-Alcaráz, Liliana Avelar Sosa, J. Díaz-Reza","doi":"10.13053/rcs-148-4-5","DOIUrl":"https://doi.org/10.13053/rcs-148-4-5","url":null,"abstract":"Current competitive, complex, and uncertain markets push companies toward increasing active collaboration on the part of all human resources (HR) involved in the supply chain (SC), because increasing employee participation and SC collaboration among partners increase SC performance, competitiveness, and, consequently, financial and social success. In this article, we propose a structural equation model to measure the impact of human resources (independent latent variables) on SC efficiency (dependent latent variable). As data gathering instrument, we designed a survey that is responded in a Likert scale and then administered it to 284 participants, including company managers, SC managers, and operators in the Mexican manufacturing sector. For measure the dependence among variables, a structural equation model (SEM) integrates four latent variables: Role of Managers, Learning Environment, Employee Competencies, and Supply Chain Performance. The model is evaluated using Partial Least Squares (PLS) integrated in WarpPLS 6.0 software. Our findings revealed a positive interrelation among the four latent variables, yet in terms of magnitude, the Role of Managers reported the largest effect on the SC Learning Environment.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1