Carlos Alberto González Almaguer, Verónica Saavedra Gastélum, Alejandro Acuña López, Eduardo Caballero-Montes, Ángeles Carolina Aguirre Acosta, Claudia Zubieta Ramírez
This paper aims to improve the learning process of students of Engineering and Design on the Tecnologico de Monterrey through TEC VEP (Virtual Enterprise Planning), a virtual platform. In the Industrial Engineering and Design teamwork, we are using the play lab concepts to build academic activities with interactivity between the academic and the industry ecosystem using a virtual platform. The student performs a simulation from the home of the processes of a company that are parameterized by professors and training partners, in such a way that the student has an experience very close to reality through distance education. The design of this activity emulates an Enterprise Resource Planning (ERP) [1] system and facilitates students to design a company where the process and departments are fully linked. The simulation defines processes so that through real (VR) and augmented reality (AR) and 3D simulation the student can live the experience of working in a car assembly, the use of VR and AR in education will improve the learning process for students in the coronavirus edge.
{"title":"Distance Learning through Simulators and Virtual Platforms for the Teaching of Industrial Engineering within the Tec 21 Educational Model","authors":"Carlos Alberto González Almaguer, Verónica Saavedra Gastélum, Alejandro Acuña López, Eduardo Caballero-Montes, Ángeles Carolina Aguirre Acosta, Claudia Zubieta Ramírez","doi":"10.1145/3456146.3456161","DOIUrl":"https://doi.org/10.1145/3456146.3456161","url":null,"abstract":"This paper aims to improve the learning process of students of Engineering and Design on the Tecnologico de Monterrey through TEC VEP (Virtual Enterprise Planning), a virtual platform. In the Industrial Engineering and Design teamwork, we are using the play lab concepts to build academic activities with interactivity between the academic and the industry ecosystem using a virtual platform. The student performs a simulation from the home of the processes of a company that are parameterized by professors and training partners, in such a way that the student has an experience very close to reality through distance education. The design of this activity emulates an Enterprise Resource Planning (ERP) [1] system and facilitates students to design a company where the process and departments are fully linked. The simulation defines processes so that through real (VR) and augmented reality (AR) and 3D simulation the student can live the experience of working in a car assembly, the use of VR and AR in education will improve the learning process for students in the coronavirus edge.","PeriodicalId":269849,"journal":{"name":"Data Storage and Data Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601215","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}
Omar Flor, J. M. Fuentes, Diego Fernando Veintimilla, Franyelit Suárez, Milton Giovanny Moncayo
In this work, a low-cost hearing assistance system is presented with the use of conventional type skin-operated bone conduction headphone designs, created with technology by deposition of molten material in a 3D printer and use of an audio receiver from cellular devices. Sound is captured, processed and filtered for later transmission to the designed hearing aids. This alternative was created to assist children with moderate-grade conductive hearing loss. The system, for its use, uses an open source application "UYARINA". The characteristics of the system, the designed headphones, the application developed, the results and its performance tests in children between 8 and 12 years old are presented.
{"title":"Bone Conduction Hearing System And Open Source Application: One alternative for patients with hearing loss","authors":"Omar Flor, J. M. Fuentes, Diego Fernando Veintimilla, Franyelit Suárez, Milton Giovanny Moncayo","doi":"10.1145/3456146.3456167","DOIUrl":"https://doi.org/10.1145/3456146.3456167","url":null,"abstract":"In this work, a low-cost hearing assistance system is presented with the use of conventional type skin-operated bone conduction headphone designs, created with technology by deposition of molten material in a 3D printer and use of an audio receiver from cellular devices. Sound is captured, processed and filtered for later transmission to the designed hearing aids. This alternative was created to assist children with moderate-grade conductive hearing loss. The system, for its use, uses an open source application \"UYARINA\". The characteristics of the system, the designed headphones, the application developed, the results and its performance tests in children between 8 and 12 years old are presented.","PeriodicalId":269849,"journal":{"name":"Data Storage and Data Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123840888","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}
Inter-Planetary File System (IPFS) is a peer-to-peer distributed file system that has gained a wide interest recently. The IPFS network is public and its content can be accessed by any user in the Internet. IPFS can also be used as a file sharing system in an isolated private network. However, it has notable writing and reading performance drawbacks. The aim of this study is to evaluate the performance of IPFS writing and reading operations in private networks and to understand what factors affect it. In our performance evaluation approach, the File Transfer Protocol (FTP) is selected as the baseline measurement, a virtual network of three nodes (machines) is established, and nine random files with different sizes are transmitted among the network members, using both IPFS and FTP, while the latency and CPU time, as performance metrics, are recorded and analyzed. The analysis shows that IPFS writing and reading performance is much worser than FTP, the reading operations latency is getting worser as the file size increases, IPFS writing and reading performance bottleneck is in the local I/O disk operations, which increase as the number of the file data blocks increases (i.e. the file size increases), and the reading performance of IPFS degrades as the data become more popular in the network. The performance evaluation illustrates that using IPFS in private networks is not as good as using the client-server alternatives, and IPFS needs more improvements to compete with the existing client-server file sharing technologies.
{"title":"Performance Evaluation of IPFS in Private Networks","authors":"O. Lajam, T. Helmy","doi":"10.1145/3456146.3456159","DOIUrl":"https://doi.org/10.1145/3456146.3456159","url":null,"abstract":"Inter-Planetary File System (IPFS) is a peer-to-peer distributed file system that has gained a wide interest recently. The IPFS network is public and its content can be accessed by any user in the Internet. IPFS can also be used as a file sharing system in an isolated private network. However, it has notable writing and reading performance drawbacks. The aim of this study is to evaluate the performance of IPFS writing and reading operations in private networks and to understand what factors affect it. In our performance evaluation approach, the File Transfer Protocol (FTP) is selected as the baseline measurement, a virtual network of three nodes (machines) is established, and nine random files with different sizes are transmitted among the network members, using both IPFS and FTP, while the latency and CPU time, as performance metrics, are recorded and analyzed. The analysis shows that IPFS writing and reading performance is much worser than FTP, the reading operations latency is getting worser as the file size increases, IPFS writing and reading performance bottleneck is in the local I/O disk operations, which increase as the number of the file data blocks increases (i.e. the file size increases), and the reading performance of IPFS degrades as the data become more popular in the network. The performance evaluation illustrates that using IPFS in private networks is not as good as using the client-server alternatives, and IPFS needs more improvements to compete with the existing client-server file sharing technologies.","PeriodicalId":269849,"journal":{"name":"Data Storage and Data Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129792689","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}
Jonathan David Freire, J. Montenegro, H. Mejia, Franz Guzman, C. Bustamante, Ronny Velastegui, Lorena Guachi
The COVID-19 pandemic has had a “devastating” impact on public health and well-being around the world. Early diagnosis is a crucial step to begin treatment and prevent more infections. In this sense, early screening approaches have demonstrated that in chest radiology images, patients present abnormalities that distinguish COVID-19 cases. Recent studies based on Convolutional Neural Networks (CNNs), using radiology imaging techniques, have been proposed to assist in the accurate detection of COVID-19. Radiology images are characterized by the opacity produced by “ground glass” which might hide powerful information for feature analysis. Therefore, this work presents a methodology to assess the overall performance of Resnet-34, a deep CNN architecture, for COVID-19 detection when pre-processing histogram equalization and color mapping are applied to chest X-ray images. Besides, to enrich the available images related to COVID-19 studies, data augmentation techniques were also carried out. Experimental results reach the highest precision and sensitivity when applying global histogram equalization and pink color mapping. This study provides a point-of-view based on accuracy metrics to choose pre-processing techniques that can improve CNNs performance for radiology image classification purposes.
{"title":"The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection","authors":"Jonathan David Freire, J. Montenegro, H. Mejia, Franz Guzman, C. Bustamante, Ronny Velastegui, Lorena Guachi","doi":"10.1145/3456146.3456154","DOIUrl":"https://doi.org/10.1145/3456146.3456154","url":null,"abstract":"The COVID-19 pandemic has had a “devastating” impact on public health and well-being around the world. Early diagnosis is a crucial step to begin treatment and prevent more infections. In this sense, early screening approaches have demonstrated that in chest radiology images, patients present abnormalities that distinguish COVID-19 cases. Recent studies based on Convolutional Neural Networks (CNNs), using radiology imaging techniques, have been proposed to assist in the accurate detection of COVID-19. Radiology images are characterized by the opacity produced by “ground glass” which might hide powerful information for feature analysis. Therefore, this work presents a methodology to assess the overall performance of Resnet-34, a deep CNN architecture, for COVID-19 detection when pre-processing histogram equalization and color mapping are applied to chest X-ray images. Besides, to enrich the available images related to COVID-19 studies, data augmentation techniques were also carried out. Experimental results reach the highest precision and sensitivity when applying global histogram equalization and pink color mapping. This study provides a point-of-view based on accuracy metrics to choose pre-processing techniques that can improve CNNs performance for radiology image classification purposes.","PeriodicalId":269849,"journal":{"name":"Data Storage and Data Engineering","volume":"66 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122585929","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}
Quick and accurate diagnosis and maintenance on complex electronic devices important issue that needs to be resolved urgently. Based on the construction of some type complex electronic device fault tree model and calculation methods of minimal cut sets importance degree and top event probability, the paper introduced fault tree into fault diagnosis expert system and solved key issues related to the system design. The constructed system can solve the problems of poor commonly usability, low degree of automation and complex operation that of original test devices, which provides effective solution for fault diagnosis of complex electronic devices.
{"title":"Research on Fault Tree Based Complex Electronic Device Fault Diagnosis Expert System","authors":"Xiao-lin Liang, Qingjin Yang","doi":"10.1109/DSDE.2010.9","DOIUrl":"https://doi.org/10.1109/DSDE.2010.9","url":null,"abstract":"Quick and accurate diagnosis and maintenance on complex electronic devices important issue that needs to be resolved urgently. Based on the construction of some type complex electronic device fault tree model and calculation methods of minimal cut sets importance degree and top event probability, the paper introduced fault tree into fault diagnosis expert system and solved key issues related to the system design. The constructed system can solve the problems of poor commonly usability, low degree of automation and complex operation that of original test devices, which provides effective solution for fault diagnosis of complex electronic devices.","PeriodicalId":269849,"journal":{"name":"Data Storage and Data Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131052431","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}
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