Data Storage and Data Engineering最新文献

Distance Learning through Simulators and Virtual Platforms for the Teaching of Industrial Engineering within the Tec 21 Educational Model 在Tec 21教育模式下，通过模拟器和虚拟平台进行工业工程教学的远程学习

Data Storage and Data Engineering Pub Date : 1900-01-01 DOI: 10.1145/3456146.3456161

Carlos Alberto González Almaguer, Verónica Saavedra Gastélum, Alejandro Acuña López, Eduardo Caballero-Montes, Ángeles Carolina Aguirre Acosta, Claudia Zubieta Ramírez

{"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}

引用次数: 3

Bone Conduction Hearing System And Open Source Application: One alternative for patients with hearing loss 骨传导听力系统及开源应用:听力损失患者的一种选择

Data Storage and Data Engineering Pub Date : 1900-01-01 DOI: 10.1145/3456146.3456167

Omar Flor, J. M. Fuentes, Diego Fernando Veintimilla, Franyelit Suárez, Milton Giovanny Moncayo

引用次数: 0

Performance Evaluation of IPFS in Private Networks IPFS在专网中的性能评价

Data Storage and Data Engineering Pub Date : 1900-01-01 DOI: 10.1145/3456146.3456159

O. Lajam, T. Helmy

{"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}

引用次数: 12

The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection 直方图均衡化和颜色映射对ResNet-34 COVID-19检测整体性能的影响

Data Storage and Data Engineering Pub Date : 1900-01-01 DOI: 10.1145/3456146.3456154

Jonathan David Freire, J. Montenegro, H. Mejia, Franz Guzman, C. Bustamante, Ronny Velastegui, Lorena Guachi

{"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}

引用次数: 3

Research on Fault Tree Based Complex Electronic Device Fault Diagnosis Expert System 基于故障树的复杂电子设备故障诊断专家系统研究

Data Storage and Data Engineering Pub Date : 1900-01-01 DOI: 10.1109/DSDE.2010.9

Xiao-lin Liang, Qingjin Yang

引用次数: 3