2022 11th International Conference On Software Process Improvement (CIMPS)最新文献_第4页

Unraveling the establishment of residual risk in cybersecurity 破解网络安全剩余风险的建立

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035673

I. D. Sánchez-García, T. S. Feliu, J. Calvo-Manzano

引用次数: 0

Creation of serverless applications in the cloud 在云中创建无服务器应用程序

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035685

Mario Negrete Rodríguez, Felipe Uriel Infante Martínez

引用次数: 0

Scrumban-Ex Methodology Applied to the Development of Artificial Vision Tools for Repository Generation: Human Pose Case Scrumban-Ex方法在人工视觉库生成工具开发中的应用:人体姿势案例

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035693

Alberto Nolasco, Salvador Cervantes, José Antônio, A. Mexicano

{"title":"Scrumban-Ex Methodology Applied to the Development of Artificial Vision Tools for Repository Generation: Human Pose Case","authors":"Alberto Nolasco, Salvador Cervantes, José Antônio, A. Mexicano","doi":"10.1109/CIMPS57786.2022.10035693","DOIUrl":"https://doi.org/10.1109/CIMPS57786.2022.10035693","url":null,"abstract":"This paper proposes a methodology called Scrumban- Ex for the development of software with uncertainty, which combines the agile Scrumban methodology and the experimental method. The characteristics of the agile methodology allow periodic deliveries of valuable versions of the software with the aim of receiving feedback from customers and in the same way, it allows efficient coordination of the activities to be carried out by the members of the development team. On the other hand, the experimental method is applied in requirements wherethe use of algorithms or novel technology is required and whose results can vary unexpectely,so the experimental method is applied to understand the behavior of the algorithms and reduce the present uncertainty. The Scrumban-Ex methodology is applied in the development of an artificial vision system dedicated to the extraction of the pose of human beings in a sequence of images. The Scrumban-Ex methodology was able to successfully satisfy the client's needs and was able to limit the development of the software to the period of time establishedat the beginning of the project.","PeriodicalId":205829,"journal":{"name":"2022 11th International Conference On Software Process Improvement (CIMPS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094386","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

Database Modeling for the Cloud: A Systematic Review of the Literature 面向云的数据库建模:文献系统综述

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035682

Naomi Garcia, R. Aguilar, J. Díaz, Brenda L. Flores

引用次数: 0

Introduction to scientific video game design 科学电子游戏设计入门

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035698

David Bonilla Carranza, Adriana Peña Pérez Carranza

引用次数: 0

Smart Contract Application on Blockchain Technology in the Software Industry 基于区块链技术的智能合约在软件行业中的应用

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035690

Wilson Soto

引用次数: 0

Systematic mapping: Use of neural networks for analysis in transmission electron microscopy micrographs 系统制图:利用神经网络分析透射电子显微镜显微照片

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035667

Diego Alejandro Morales Bravo, Miguel De-la-Torre, B. Acevedo-Juárez, Gabriella Mireles

{"title":"Systematic mapping: Use of neural networks for analysis in transmission electron microscopy micrographs","authors":"Diego Alejandro Morales Bravo, Miguel De-la-Torre, B. Acevedo-Juárez, Gabriella Mireles","doi":"10.1109/CIMPS57786.2022.10035667","DOIUrl":"https://doi.org/10.1109/CIMPS57786.2022.10035667","url":null,"abstract":"Microscopy techniques have been prominently part of advances in fields such as biology, medicine, and the study and development of materials over the last decade. The characteriza- tion of nanoparticles from distinct materials is challenging due to differences in morphology, size and shape. In order to evaluate these properties, tools such as the optical microscope, the atomic force microscope and the transmission electron microscope are essential. However, even an apparently simple measurement such as the size of a particle can be a challenge, this task becomes more difficult if you are working with materials for which particles are far from the ideal shape. In recent years, artificial neural networks (RNA) and especially convolutional neural networks (RNC) have been showing an enormous capacity for complex vision tasks such as detection, segmentation and classification.In this paper, we show the results of a mapping study on the work related to implementations of RNA for the analysis of electron transmission microscope micrographs. In addition to reviewing the techniques and tools most commonly used in RNA implementations. Results indicate a growing interest of the scientific community to propose related solutions, with RNC as the leader technique in micrograph analysis.","PeriodicalId":205829,"journal":{"name":"2022 11th International Conference On Software Process Improvement (CIMPS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131033419","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

Deep Learning for Nanoparticle Classification in SEM Micrographs: Systematic Mapping 扫描电镜显微图中纳米粒子分类的深度学习:系统映射

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035714

Iker Toscano, Miguel De-la-Torre, Brenda Acevedo Juárez, Gabriel Alberto García Mireles

{"title":"Deep Learning for Nanoparticle Classification in SEM Micrographs: Systematic Mapping","authors":"Iker Toscano, Miguel De-la-Torre, Brenda Acevedo Juárez, Gabriel Alberto García Mireles","doi":"10.1109/CIMPS57786.2022.10035714","DOIUrl":"https://doi.org/10.1109/CIMPS57786.2022.10035714","url":null,"abstract":"In recent years the microscopy industry has had significant technological advances.Today these advances allow us to obtain micrographs taken by microscopes with a high resolution at very small scales that allow us to observe nanoparticles, an example of this is the scanning electron microscope (SEM). The analysis of nanoparticles contained within these micrographs is necessary in order to improve manufacturing methods, purification systems, improvements in the medical industry, among others. In this article, a systematic mapping study of the literature on the use of deep learning techniques for the detection and classificationof nanoparticles contained in SEM micrographs is presented. An analysis is made of the main neural networks used and the methods implemented for the generation of an input training database for the neural networks. Results show that convolutional neural networks (CNN) are themost common techniques to analyze micrographs, obtaining a high accuracy in the projects developed in the reviewed publications.In order to create a framework and methodology that allows us to detect, classify and count, the mapping study allows us to identify the most efficient technologies to develop systems capable of performing these tasks in an automated way with the help of deep learning.","PeriodicalId":205829,"journal":{"name":"2022 11th International Conference On Software Process Improvement (CIMPS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122079821","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

Design of a mobile application to assess work stress by implementing the MBI and OIT-OMS questionnaires using the NOM-035-STPS-2018 standard 设计一个移动应用程序，通过使用nom -035- stp -2018标准实施MBI和OIT-OMS问卷来评估工作压力

2022 11th International Conference On Software Process Improvement (CIMPS) Pub Date : 2022-10-19 DOI: 10.1109/CIMPS57786.2022.10035669

Roberto Lidio Garcés Tello, Luis Ángel Reyes Hernández, Celia Romero Torres, Ignacio López Martínez, A. L. Chau

引用次数: 0