Revista de Informatica Teorica e Aplicada最新文献_第2页

Chatbot Optimization using Sentiment Analysis and Timeline Navigation 使用情绪分析和时间线导航的聊天机器人优化

Revista de Informatica Teorica e Aplicada Pub Date : 2023-01-30 DOI: 10.22456/2175-2745.125825

Wagner da Silva Maciel Sodré, J. C. Duarte

引用次数: 0

Livestock Monitoring Prototype Implementation and Validation 牲畜监测原型的实施和验证

Revista de Informatica Teorica e Aplicada Pub Date : 2023-01-30 DOI: 10.22456/2175-2745.127207

Vitor M. T. Aleluia, V. Soares, João M. L. P. Caldeira, P. Gaspar

引用次数: 0

COVID-19 Detection Using Forced Cough Sounds and Medical Information 利用咳嗽声和医疗信息检测新冠肺炎

Revista de Informatica Teorica e Aplicada Pub Date : 2023-01-30 DOI: 10.22456/2175-2745.126016

Lucas Augusto Müller de Souza, H. Bernardino, Jairo Francisco de Souza, Alex Vieira

{"title":"COVID-19 Detection Using Forced Cough Sounds and Medical Information","authors":"Lucas Augusto Müller de Souza, H. Bernardino, Jairo Francisco de Souza, Alex Vieira","doi":"10.22456/2175-2745.126016","DOIUrl":"https://doi.org/10.22456/2175-2745.126016","url":null,"abstract":"The World Health Organization (WHO) has declared the novel coronavirus (COVID-19) outbreak a global pandemic in March 2020. Through a lot of cooperation and the effort of scientists, several vaccines have been created. However, there is no guarantee that the virus will shortly disappear, even if a large part of the population is vaccinated. Therefore, non-invasive methods, with low cost and real-time results, are important to detect infected individuals and enable earlier adequate treatment, in addition to preventing the spread of the virus. An alternative is using forced cough sounds and medical information to distinguish a healthy person from those infected with COVID-19 via artificial intelligence. An additional challenge is the unbalancing of these data, as there are more samples of healthy individuals than contaminated ones. We propose here a Deep Neural Network model to classify people as healthy or sick concerning COVID-19. We used here a model composed by an Convolutional Neural Network and two other Neural Networks with two full-connected layers, each one trained with different data from the same individual. To evaluate the performance of the proposed method, we combined two datasets from the literature: COUGHVID and Coswara. That dataset contains clinical information regarding previous respiratory conditions, symptoms (fever or muscle pain), and a cough record. The results show that our model is simpler (with fewer parameters) than those from the literature and generalizes better the prediction of infected individuals. The proposal presents an average Area Under the ROC Curve (AUC) equal to 0.885 with a confidence interval (0.881 - 0.888), while the literature reports 0.771 with (0.752 - 0.783).","PeriodicalId":53421,"journal":{"name":"Revista de Informatica Teorica e Aplicada","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46442474","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

Performance Assessment of a Wireless Mesh Network for Post-harvest Food Quality Traceability of Fruit Products: A Case Study 一种用于水果产品收获后食品质量追溯的无线网状网络的性能评估:一个案例研究

Revista de Informatica Teorica e Aplicada Pub Date : 2023-01-30 DOI: 10.22456/2175-2745.125567

Tiago Costa, Luís Santos, João M. L. P. Caldeira, V. Soares, P. Gaspar

{"title":"Performance Assessment of a Wireless Mesh Network for Post-harvest Food Quality Traceability of Fruit Products: A Case Study","authors":"Tiago Costa, Luís Santos, João M. L. P. Caldeira, V. Soares, P. Gaspar","doi":"10.22456/2175-2745.125567","DOIUrl":"https://doi.org/10.22456/2175-2745.125567","url":null,"abstract":"This paper presents the performance evaluation of a wireless sensor mesh network, for monitoring temperature and humidity in horticultural products when transported in truck galleys. For this purpose a software solution was proposed using ESP8266 devices powered by batteries. The mesh network was managed by the painlessMesh library. The proposed solution aims to minimize the energy consumption of the sensor nodes. The validation of the solution was performed in an area simulating a galley of a truck, where five sensor nodes and a root node were distributed. The tests were developed considering four different models involving variations in messages delivery confirmation, number of attempts until successful delivery and duty cycle duration of the nodes. The performance evaluation of the solution aimed to determine, connectivity rate, sending rate after connection and delivery rates of the first and second attempts. The results obtained show that the message delivery confirmation does not bring added value to the solution, contributing only to increase energy consumption. The use of synchronous duty cycles also showed worse results than the asynchronous use. These results allow the creation of a knowledge base for the use of this solution in a real context.","PeriodicalId":53421,"journal":{"name":"Revista de Informatica Teorica e Aplicada","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42118789","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

Investigación Exploratoria de Robots Agrícolas 农业机器人的探索性研究

Revista de Informatica Teorica e Aplicada Pub Date : 2023-01-20 DOI: 10.33936/isrtic.v6i2.5286

Andres Fernando Zambrano Caicedo, Karen Ivonne Briones Giler, Victor Joel Pinargote Bravo, Alfonso Tomás Loor Vera

引用次数: 0

SEGBEE: Mobile Application for Honey Segmentation in Apiary Boards SEGBEE：蜂房板中蜂蜜分割的移动应用程序

Revista de Informatica Teorica e Aplicada Pub Date : 2022-12-28 DOI: 10.22456/2175-2745.121425

Daniel W. S. Rocha, Eduardo Cardoso Melo, B. A. Oliveira

{"title":"SEGBEE: Mobile Application for Honey Segmentation in Apiary Boards","authors":"Daniel W. S. Rocha, Eduardo Cardoso Melo, B. A. Oliveira","doi":"10.22456/2175-2745.121425","DOIUrl":"https://doi.org/10.22456/2175-2745.121425","url":null,"abstract":"Beekeeping is one of the most important activities for humans. Since ancient times, honey has been used in the treatment of several diseases and is an extremely powerful antioxidant. The process of visual analysis of the apiary requires trained specialists who try to obtain relevant information to make a decision about what to do with the honeycomb. Since the process is performed manually, given the complexity of the task, opportunities arise for the application of automated systems that can assist the beekeeper's decision making. Thus, this paper presents the development of the application textit{SegBee}, a computational tool that performs the segmentation in the apiary plates, where there is the presence of honey, in an accessible, fast and practical way. To do this, the OpenCV library was used for the digital image processing part, and the Kivy library was used to develop the interface of the mobile application. The tests performed showed that the images were adequately segmented by textit{SegBee}, indicating where the honey is located on each analyzed plate. A visual comparison was made between results obtained by textit{SegBee} and another commercial application, demonstrating the effectiveness of the developed tool. The proposed solution contributes to the improvement of the beekeeping professionals' work, once the application is simple to use and fast to process, being able to help in the honey identification task in apiaries plates.","PeriodicalId":53421,"journal":{"name":"Revista de Informatica Teorica e Aplicada","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45831073","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

Autism Spectrum Disorder Diagnosis Assistance using Machine Learning 使用机器学习的自闭症谱系障碍诊断辅助

Revista de Informatica Teorica e Aplicada Pub Date : 2022-12-28 DOI: 10.22456/2175-2745.126309

Arthur Alexandre Artoni, C. Barbosa, Marcelo Morandini

引用次数: 0

Optimal Control and Adaptive Learning for Stabilization of a Quadrotor-type Unmanned Aerial Vehicle via Approximate Dynamic Programming 基于近似动态规划的四旋翼无人机最优控制与自适应学习

Revista de Informatica Teorica e Aplicada Pub Date : 2022-12-28 DOI: 10.22456/2175-2745.121388

Joelson Miller Bezerra De Souza, Patricia H. Moraes Rego, Guilherme Bonfim De Sousa, Janes Valdo Rodrigues Lima

引用次数: 0

Comparative Analysis of Blockchain-Based Platforms for Managing Electronic Health Records in the Public Healthcare System of Brazil 巴西公共医疗系统中基于区块链的电子病历管理平台的比较分析

Revista de Informatica Teorica e Aplicada Pub Date : 2022-12-28 DOI: 10.22456/2175-2745.125396

C. K. D. S. Rodrigues

引用次数: 0

Application of Profile Prediction for Proactive Scheduling 轮廓预测在主动调度中的应用

Revista de Informatica Teorica e Aplicada Pub Date : 2022-12-28 DOI: 10.22456/2175-2745.120399

Allan Matheus Marques Dos Santos, R. Pinto, J. C. Duarte, B. Schulze

引用次数: 0