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2022 IEEE Mexican International Conference on Computer Science (ENC)最新文献

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Detection of Atypical Data in Point Cloud of Technical Vision System using Digital Filtering 基于数字滤波的技术视觉系统点云非典型数据检测
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882955
Ivan Yeniseysk Alba Corpus, W. Flores-Fuentes, J. Rodríguez-Quiñonez, D. Hernández-Balbuena, F. F. González-Navarro, O. Sergiyenko, Ruben Alaniz-Plata
{"title":"Detection of Atypical Data in Point Cloud of Technical Vision System using Digital Filtering","authors":"Ivan Yeniseysk Alba Corpus, W. Flores-Fuentes, J. Rodríguez-Quiñonez, D. Hernández-Balbuena, F. F. González-Navarro, O. Sergiyenko, Ruben Alaniz-Plata","doi":"10.1109/ENC56672.2022.9882955","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882955","url":null,"abstract":"Most non-contact methods and systems for 3D spatial coordinate measurement are based on optical sensors and signal processing. Object surfaces are discretely detected to obtain their coordinates and generate a point cloud that can be processed to reconstruct the object's shape and dimensions. Optical sensor-based technologies are the most widely used because they are non-destructive and do not need to touch objects. One of their best properties is their fast measurement acquisition rate. However, one of their disadvantages is the presence of atypical values in their measurements due to their sensitivity to optical ambient noise. Filtering atypical values from point clouds allow the generation and reconstruction of mesh and geometrical models of objects with appearance and dimensions similar to reality. This work is focused on the point cloud post-processing of 3D spatial coordinates measurements obtained from a technical vision system to eliminate inaccuracies in the reconstruction models.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115766610","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: 2
Didactic Evaluation of Some Useful Predictive Methods in Neighborhood-Based Recommendation Systems 基于邻域推荐系统中一些有用预测方法的教学评价
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882912
Cupertino Lucero-Álvarez, P. M. Quintero-Flores, Carlos A. Ortiz-Ramírez, Patricia Mendoza-Crisóstomo, Juventino Montiel-Hernández, Maria Vázquez-Vázquez
{"title":"Didactic Evaluation of Some Useful Predictive Methods in Neighborhood-Based Recommendation Systems","authors":"Cupertino Lucero-Álvarez, P. M. Quintero-Flores, Carlos A. Ortiz-Ramírez, Patricia Mendoza-Crisóstomo, Juventino Montiel-Hernández, Maria Vázquez-Vázquez","doi":"10.1109/ENC56672.2022.9882912","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882912","url":null,"abstract":"This paper presents a didactic-experimental study of three ratings prediction techniques that have been widely used in neighborhood-based Recommender Systems. The process of calculating the predictions and estimating the error for academic purposes is exemplified. The results of experimentation based on a MovieLens Dataset are presented. The objective was to measure the quality of the recommendations generated by the prediction techniques studied, with respect to the density of the data. As a measure of similarity, to generate the neighborhood, the Pearson correlation coefficient was used. To measure the quality of the recommendations, the metrics were used: mean absolute error and mean square error. The results show that the best predictive technique is what we have called F3, and that as the density of the data decreases, the error in the predictions increases.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"39 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172747","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
Intervention of knowledge flows in software process mining projects 软件过程挖掘项目中知识流的介入
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882931
Silvia Jaqueline Urrea-Contreras, María Angélica Astorga Vargas, Brenda Leticia Flores Ríos, J. Esquer, F. F. González-Navarro
{"title":"Intervention of knowledge flows in software process mining projects","authors":"Silvia Jaqueline Urrea-Contreras, María Angélica Astorga Vargas, Brenda Leticia Flores Ríos, J. Esquer, F. F. González-Navarro","doi":"10.1109/ENC56672.2022.9882931","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882931","url":null,"abstract":"Knowledge flows permit to analyze the type and sources of knowledge, and the way in which knowledge flows or is managed within an organization. This paper presents how a knowledge flow approach implemented in a process mining project, which analyzes process instances, supports the categorization of the different types and assets of knowledge stored in the repositories of software development organizations. In addition, it provides information for the roles involved in improvement cycles to make strategic decisions based on the types of mining (process discovery, conformance checking and process improvement). We present the implementation of the intervention methodology for the identification of processes, flows and types of knowledge with the objective of strengthening and validating the compliance of software processes. These results were validated with an experience report on the analysis of knowledge flows in a Mexican software development company implementing a Process Mining project.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124619477","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
Metrics identification in the ISO/IEC 29110 standard implementation for the improvement of its work products: A case study ISO/IEC 29110标准实现中用于改进其工作产品的度量标识:一个案例研究
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882926
Octavio Zepeda Valero, J. Mejía
{"title":"Metrics identification in the ISO/IEC 29110 standard implementation for the improvement of its work products: A case study","authors":"Octavio Zepeda Valero, J. Mejía","doi":"10.1109/ENC56672.2022.9882926","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882926","url":null,"abstract":"Currently, the ISO/IEC 29110 standard has been released due to the importance it has taken to improve the quality of software products developed by small software development entities. However, even in many of the small software development entities there is a lack of knowledge of the correct application of the different processes and their respective quantitative evaluation. Therefore, the objective of this article is to analyze the documentation of a project presented by a company, to evaluate the implementation of the ISO/IEC 29110 standard, to identify metrics that can be applied to evaluate the status of the project and indicate recommendations.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125110461","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
Prototype to estimate breast cancer suspicion in a hospital of the Mexican public health system 用于估计墨西哥公共卫生系统医院的乳腺癌怀疑的原型
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882906
J. Valencia-Moreno, Everardo Gutiérrez-López, Asley Fernando Cruz González, J. González-Fraga, José Magaña Magaña
{"title":"Prototype to estimate breast cancer suspicion in a hospital of the Mexican public health system","authors":"J. Valencia-Moreno, Everardo Gutiérrez-López, Asley Fernando Cruz González, J. González-Fraga, José Magaña Magaña","doi":"10.1109/ENC56672.2022.9882906","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882906","url":null,"abstract":"Breast cancer is a public health problem because it is the type of cancer with the highest incidence and mortality in women. X-ray studies of the breasts, mammograms, represent one of the main tools used by doctors for the early detection of this disease. In this work, it is proposed to mitigate this problem using a system prototype for estimating the suspicion of breast cancer from the risk factors. The system prototype includes a gradient boosting decision tree model for cancer risk prediction and a web system that can be used in hospitals to speed up the consultation of breast cancer patients. The prototype was validated with stress tests, black box tests, white box tests and Iadov techniques for the satisfaction of end users. The results obtained lead us to conclude that the prototype can be incorporated into the daily consultations of Mexican hospitals as a support tool in the early detection of breast cancer, contributing to the decrease in the death rate caused by this disease in Mexico.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121940496","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
Anomaly Detection-based Spectrum Sensing using the k-Nearest Neighbors Algorithm 基于k近邻算法的异常检测频谱感知
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882909
Lizeth Lopez-Lopez, Á. G. Andrade, G. Galaviz
{"title":"Anomaly Detection-based Spectrum Sensing using the k-Nearest Neighbors Algorithm","authors":"Lizeth Lopez-Lopez, Á. G. Andrade, G. Galaviz","doi":"10.1109/ENC56672.2022.9882909","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882909","url":null,"abstract":"The efficient utilization of the scarce spectrum is essential to satisfy the requirements of future 6G mobile networks. Spectrum sensing allows secondary users to detect unused spectrum portions as a first stage to enable dynamic spectrum access. Artificial intelligence algorithms have been applied to solve the spectrum use (occupied or vacant) as a classification problem. However, they required vast information set for training. In this paper, spectrum sensing is addressed as an anomaly detection problem. The normal behavior is defined as the inactivity of the primary (licensed) user in a specific frequency band. Thus, an anomaly is the presence of the primary users’ signals. The k-nearest neighbors algorithm is implemented to detect the anomalies in the frequency band. The obtained results show an improvement in detection performance compared to the conventional energy-based spectrum sensing technique.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129159804","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
Homicide forecasting for the state of Guanajuato using LSTM and geospatial information 基于LSTM和地理空间信息的瓜纳华托州凶杀预测
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882957
Jorge García-gómez, S. Valdez, Hugo Carlos
{"title":"Homicide forecasting for the state of Guanajuato using LSTM and geospatial information","authors":"Jorge García-gómez, S. Valdez, Hugo Carlos","doi":"10.1109/ENC56672.2022.9882957","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882957","url":null,"abstract":"In the last years, intentional homicides have increased significantly in Mexico. A proven strategy to confront the problem is applying predictive methods used to anticipate the resources and logistics of the security corps. This work tackles the forecasting of intentional homicides using three forecasting methods: ARIMA, LSTM, and NeuralProphet, applied to the 16 municipalities of Guanajuato state with the highest count. The approach is replicable to all Mexico's municipalities since the same data are reported. We conducted an exhaustive search of optimal hyper-parameters of the LSTM and an exhaustive search for the optimal lag for NeuralProphet. In the same regard, different combinations of neighboring municipalities were tested to include geospatial information. The methods are compared via MAE, MSE, and bootstrap hypothesis tests. LSTM improved with geospatial data, so the best LSTM model showed a superior performance to the ARIMA by 23.1% in the MAE and 35.6% in the MSE. On the other hand, NeuralProphet showed a similar performance to the ARIMA according to the bootstrap hypothesis test, showing no statistically significant difference between them. The results show that the phenomenon is related to the spatial context and encourage the use of geospatial information in forecasting models.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130311771","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
FisicARtivo: Design of a learning tool for physics education using web-based XR technology FisicARtivo:使用基于web的XR技术设计物理教育学习工具
2022 IEEE Mexican International Conference on Computer Science (ENC) Pub Date : 2022-08-24 DOI: 10.1109/ENC56672.2022.9882930
B. A. Cárdenas-Sainz, Ramón Zataraín-Cabada, María Lucía Barrón Estrada, M. E. Chavez-Echeagaray, Rosalio Zatarain Cabada
{"title":"FisicARtivo: Design of a learning tool for physics education using web-based XR technology","authors":"B. A. Cárdenas-Sainz, Ramón Zataraín-Cabada, María Lucía Barrón Estrada, M. E. Chavez-Echeagaray, Rosalio Zatarain Cabada","doi":"10.1109/ENC56672.2022.9882930","DOIUrl":"https://doi.org/10.1109/ENC56672.2022.9882930","url":null,"abstract":"Currently, the development of educational technology seeks to improve the learning process of students through applications and platforms that offer interactive and intuitive experiences. This article presents the design of an interactive learning tool called FisicARtivo, which is focused on teaching physics with real-time simulations in extended reality (XR), using technologies such as augmented reality (AR) and virtual reality (VR) for the presentation of interactive learning environments. Preliminary results obtained in this work show that the use of extended reality technologies has a significant impact on physics learning.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123469549","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
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