Pub Date : 2022-03-30DOI: 10.5747/ce.2022.v14.n1.e382
Hélio Monteiro da SILVA FILHO, Francisco Assis da Silva, Leandro Luiz de Almeida, Danillo Roberto Pereira, Mário Augusto Pazoti, A. O. Artero, M. A. Piteri
The world population grows every year, however, the arable lands of the planet are practically all in use or protected by environmental laws. Humanity needs to find ways to increase productivity in the countryside, and one of the ways is by making use of technology. This paper uses computational resources to detect failures in planting lines, through the analysis of plantation images obtained by UAVs. In the developed methodology, CNN, morphological operators and an algorithm were used to draw the planting lines. With the detected failures, the aim is to help rural producers to make better decisions, increase their production and reduce losses. The results obtained were satisfactory, but are closely linked to the quality of the image classification by CNN, which presented an F1 Score around 92%.
{"title":"DETECÇÃO DE FALHAS EM LINHAS DE PLANTIO EM IMAGENS OBTIDAS POR VANT UTILIZANDO CNN E OPERADORES MORFOLÓGICOS","authors":"Hélio Monteiro da SILVA FILHO, Francisco Assis da Silva, Leandro Luiz de Almeida, Danillo Roberto Pereira, Mário Augusto Pazoti, A. O. Artero, M. A. Piteri","doi":"10.5747/ce.2022.v14.n1.e382","DOIUrl":"https://doi.org/10.5747/ce.2022.v14.n1.e382","url":null,"abstract":"The world population grows every year, however, the arable lands of the planet are practically all in use or protected by environmental laws. Humanity needs to find ways to increase productivity in the countryside, and one of the ways is by making use of technology. This paper uses computational resources to detect failures in planting lines, through the analysis of plantation images obtained by UAVs. In the developed methodology, CNN, morphological operators and an algorithm were used to draw the planting lines. With the detected failures, the aim is to help rural producers to make better decisions, increase their production and reduce losses. The results obtained were satisfactory, but are closely linked to the quality of the image classification by CNN, which presented an F1 Score around 92%.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81862942","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n4.e376
R. Nunes, W. Maia
The present work brings a numerical, non-linear physical and geometric analysis using the Finite Element Method, of asymmetrical stiff angles, using the Ansys software. The simulations employed two magnitudes of initial imperfections, and aimed to find the critical buckling loads and failure modes, observing local, global instabilities and the interaction between both. The results obtained were compared with experimental tests, performed by Young and Chen (2008), and with the values proposed by the brazilian standard ABNT NBR 14762: 2010, using the Direct Resistance Method. The procedure adopted for the simulations proved to be quite efficient, producing very interesting results compared to the experimental ones, showing the reliability of this method for the analysis of cold-formed steel asymmetrical angles. The initial imperfections adopted demonstrated that, for the same profile, it was not the same magnitude that produced the best results, emphasizing the importance of your choice. The calculation procedure of ABNT NBR 14762: 2010, using the Direct Resistance Method, proved to be coherent for bars up to 1000 mm, but very conservative for those of greater length, with the increase of slenderness.
{"title":"ANÁLISE NUMÉRICA DE CANTONEIRAS ENRIJECIDAS ASSIMÉTRICAS DE AÇO FORMADAS A FRIO SUBMETIDAS À COMPRESSÃO CENTRADA","authors":"R. Nunes, W. Maia","doi":"10.5747/ce.2021.v13.n4.e376","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n4.e376","url":null,"abstract":"The present work brings a numerical, non-linear physical and geometric analysis using the Finite Element Method, of asymmetrical stiff angles, using the Ansys software. The simulations employed two magnitudes of initial imperfections, and aimed to find the critical buckling loads and failure modes, observing local, global instabilities and the interaction between both. The results obtained were compared with experimental tests, performed by Young and Chen (2008), and with the values proposed by the brazilian standard ABNT NBR 14762: 2010, using the Direct Resistance Method. The procedure adopted for the simulations proved to be quite efficient, producing very interesting results compared to the experimental ones, showing the reliability of this method for the analysis of cold-formed steel asymmetrical angles. The initial imperfections adopted demonstrated that, for the same profile, it was not the same magnitude that produced the best results, emphasizing the importance of your choice. The calculation procedure of ABNT NBR 14762: 2010, using the Direct Resistance Method, proved to be coherent for bars up to 1000 mm, but very conservative for those of greater length, with the increase of slenderness.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86811143","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n3.e366
Maria Eduarda Ribeiro Martins, F. P. Souza, Renato Silva
The sugarcane borer (Diatraea Saccharalis) is considered the main pest in the sugarcane crop due to the great damage it causes to the crop. Its permanence can portray significant losses in productivity and affect the quality of sugar and ethanol production. One of the methods used to manage the borer is through biological control through the insertion of the parasitoid Trichogramma Galloi. Mathematical modeling helps to understand biological control, as it allows us to carry out a qualitative analysis. In this article, we analyze a mathematical model, based on systems of ordinary differential equations, of the interaction between the sugarcane borer, which is represented by the egg and larval stages, and its parasitoid, which is considered in terms of parasitized eggs. In this model, we find equilibrium points and conditions for the stability of each one of them. Numerical simulations show a good approximation for stability.
{"title":"ANÁLISE MATEMÁTICA DO MODELO DE INTERAÇÃO ENTRE A BROCA DA CANA DE AÇUCAR (DIATRAEA SACCHARALIS) E O SEU PARASITOIDE TRICHOGRAMMA GALLOI","authors":"Maria Eduarda Ribeiro Martins, F. P. Souza, Renato Silva","doi":"10.5747/ce.2021.v13.n3.e366","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n3.e366","url":null,"abstract":"The sugarcane borer (Diatraea Saccharalis) is considered the main pest in the sugarcane crop due to the great damage it causes to the crop. Its permanence can portray significant losses in productivity and affect the quality of sugar and ethanol production. One of the methods used to manage the borer is through biological control through the insertion of the parasitoid Trichogramma Galloi. Mathematical modeling helps to understand biological control, as it allows us to carry out a qualitative analysis. In this article, we analyze a mathematical model, based on systems of ordinary differential equations, of the interaction between the sugarcane borer, which is represented by the egg and larval stages, and its parasitoid, which is considered in terms of parasitized eggs. In this model, we find equilibrium points and conditions for the stability of each one of them. Numerical simulations show a good approximation for stability.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"177 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86225000","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n3.e364
Leila Maria Couto Esturaro
The management of solid waste are practices provided for in the articles of Law No. 12,305 / 10, entitled National Solid Waste Policy. The objective of this work was to analyze whether solid waste management is efficient in small rural properties in the city of Tupi Paulista - SP. For this, it was necessary to: carry out the mapping of rural properties that practiced selective collection between the years 2019 and 2020; work in environmental education; collect recyclable materials and, finally, quantify the waste generated in the period analyzed, and then compare between 2019 and 2020. This study concludes that, even with the increase in rural properties that joined selective collection, there was a constant in the relationship for the average amount of waste generated per property, this was possible due to the environmental education work developed throughout the study, enabling the population to participate in the planning and management of waste. It is also observed that this work made it possible to improve the quality of the local environment, with a reduction in the volume of solid waste in rural properties through selective collection.
{"title":"ANÁLISE DA EFICIÊNCIA DO GERENCIAMENTO DE RESÍDUOS SÓLIDOS EM PROPRIEDADES RURAIS DE PEQUENO PORTE EM TUPI PAULISTA - SP","authors":"Leila Maria Couto Esturaro","doi":"10.5747/ce.2021.v13.n3.e364","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n3.e364","url":null,"abstract":"The management of solid waste are practices provided for in the articles of Law No. 12,305 / 10, entitled National Solid Waste Policy. The objective of this work was to analyze whether solid waste management is efficient in small rural properties in the city of Tupi Paulista - SP. For this, it was necessary to: carry out the mapping of rural properties that practiced selective collection between the years 2019 and 2020; work in environmental education; collect recyclable materials and, finally, quantify the waste generated in the period analyzed, and then compare between 2019 and 2020. This study concludes that, even with the increase in rural properties that joined selective collection, there was a constant in the relationship for the average amount of waste generated per property, this was possible due to the environmental education work developed throughout the study, enabling the population to participate in the planning and management of waste. It is also observed that this work made it possible to improve the quality of the local environment, with a reduction in the volume of solid waste in rural properties through selective collection.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86034604","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n3.e369
A. Moreira, Mário Augusto Pazoti, Robson Augusto Siscoutto
Intelligent systems are mainly linked to the act of bringing more and more support to people. Currently, there is a growing use of elements related to the machine learning capacity, that is, Artificial Intelligence (AI). In AI, chatbots stand out, personalized and virtual agents with a certain emotional and cognitive level, usually employed in collaborative, social or learning systems, in order to offer some service with persistent and strongly relational interaction to users. Developing such an agent is not trivial. A chatbot that provides consistent and immersive communication requires several techniques, sometimes even complex,related to natural language processing, understanding and generation, which involve classification of entities, objectives, among others; also self-healing to avoid conversation inconsistencies and loss of context. Therefore, this work presents a web tool that allows the user to develop, train and customize their chatbot virtual agent. This agent uses two training and response models based on recovery and generative models, built on neurais networks that manipulate a database defined by the user. The tool was tested and evaluated in order to qualify its accuracy, which proved to reach its goals, as well as allow the creation of a personalized chatbot.
{"title":"EASY ASSISTANT: UMA FERRAMENTA DE AUXÍLIO PARA O DESENVOLVIMENTO DE CHATBOTS DE DOMÍNIO ESPECÍFICO","authors":"A. Moreira, Mário Augusto Pazoti, Robson Augusto Siscoutto","doi":"10.5747/ce.2021.v13.n3.e369","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n3.e369","url":null,"abstract":"Intelligent systems are mainly linked to the act of bringing more and more support to people. Currently, there is a growing use of elements related to the machine learning capacity, that is, Artificial Intelligence (AI). In AI, chatbots stand out, personalized and virtual agents with a certain emotional and cognitive level, usually employed in collaborative, social or learning systems, in order to offer some service with persistent and strongly relational interaction to users. Developing such an agent is not trivial. A chatbot that provides consistent and immersive communication requires several techniques, sometimes even complex,related to natural language processing, understanding and generation, which involve classification of entities, objectives, among others; also self-healing to avoid conversation inconsistencies and loss of context. Therefore, this work presents a web tool that allows the user to develop, train and customize their chatbot virtual agent. This agent uses two training and response models based on recovery and generative models, built on neurais networks that manipulate a database defined by the user. The tool was tested and evaluated in order to qualify its accuracy, which proved to reach its goals, as well as allow the creation of a personalized chatbot.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88379572","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n4.e378
Luiz Paulo Souza Rodrigues, Danilo Roberto Pereira
This article presents an approach through models based on ML (Machine Learning) applied to NDVI (Normalized Difference Vegetation Index) images to estimate productivity in the sugarcane crop. The use of human techniques based on cognitive experiences is predominant to anticipate productivity. The images used were provided by the NDVI Sentinel-2 satellite, since the datasets were obtained from two georeferenced points, two plots and applied to the images for extraction and processing. Two predictive algorithms are used for the models: (i) CNN (Convolution Neural Network), (ii) KNN (K-Nearest Neighbors), (iii) RF (Random Forest), (iv) SVM (Support Vector Machie) , (v) AdaBoost (Adaptive Boost). The RF algorithm was presented or more efficient, so that the results for the DP (Standard Deviation) and the formula for the MSE (Mean Square Error) obtained 30.71 tons (t) and the MAE (Mean Absolute Error) obtained 3.73(t). Regarding the estimates, the DP formula for the MSE obtains 34.71 (t) and the MAE of 3.97 (t). The EM (Mean Error) for the estimates was -8.80% and the RF algorithm was 0.012%. The results will show consistency for the productivity estimates in the sugarcane crop.
{"title":"APRENDIZADO DE MÁQUINA APLICADO EM IMAGEM NDVI PARA PREVISÃO DA PRODUTIVIDADE DA CANA-DE-AÇÚCAR","authors":"Luiz Paulo Souza Rodrigues, Danilo Roberto Pereira","doi":"10.5747/ce.2021.v13.n4.e378","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n4.e378","url":null,"abstract":"This article presents an approach through models based on ML (Machine Learning) applied to NDVI (Normalized Difference Vegetation Index) images to estimate productivity in the sugarcane crop. The use of human techniques based on cognitive experiences is predominant to anticipate productivity. The images used were provided by the NDVI Sentinel-2 satellite, since the datasets were obtained from two georeferenced points, two plots and applied to the images for extraction and processing. Two predictive algorithms are used for the models: (i) CNN (Convolution Neural Network), (ii) KNN (K-Nearest Neighbors), (iii) RF (Random Forest), (iv) SVM (Support Vector Machie) , (v) AdaBoost (Adaptive Boost). The RF algorithm was presented or more efficient, so that the results for the DP (Standard Deviation) and the formula for the MSE (Mean Square Error) obtained 30.71 tons (t) and the MAE (Mean Absolute Error) obtained 3.73(t). Regarding the estimates, the DP formula for the MSE obtains 34.71 (t) and the MAE of 3.97 (t). The EM (Mean Error) for the estimates was -8.80% and the RF algorithm was 0.012%. The results will show consistency for the productivity estimates in the sugarcane crop.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89950710","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n4.e379
Bruno Maciel Ricce, Cristiani Aparecida Maciel Ricce, Robson Augusto Siscoutto
With the evolution of information technologies, the applicability in basic education in Brazilian public schools has been discussed, but few projects were, in fact, implemented, because they are difficult to implement, due to the lack of technological resources in schools and the complexity of the Portuguese language. . Information technologies are present in the daily lives of new generations and the tendency is to increase, since their use is directly related to the multiple tools of social media, games and in the various methods of internet research. However, the student environment still uses traditional teaching methods, not consistent with the student's reality, generating conflicts that can hinder learning. Therefore, this work presents a virtual reality tool that provides gamified, immersive and interactive three-dimensional virtual environments performed individually, in order to assist and facilitate the appropriation of knowledge and the teaching/learning process of Brazilian elementary school students. of the Portuguese 7Language course. This tool is aimed at improving school performance in understanding and interpreting verbal and non-verbal language, making students autonomous, supportive and competent. The virtual environments were evaluated by the project researchers through a specific usability questionnaire for this type of environment, obtaining a final average of 4.93 out of 5.0, being considered suitable for future use in classrooms.
{"title":"PORTUGAMESVR: O ENSINO DE PORTUGUÊS NAS ESCOLAS DE ENSINO FUNDAMENTAL ESTADUAL PAULISTA AUXILIADO POR REALIDADE VIRTUAL","authors":"Bruno Maciel Ricce, Cristiani Aparecida Maciel Ricce, Robson Augusto Siscoutto","doi":"10.5747/ce.2021.v13.n4.e379","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n4.e379","url":null,"abstract":"With the evolution of information technologies, the applicability in basic education in Brazilian public schools has been discussed, but few projects were, in fact, implemented, because they are difficult to implement, due to the lack of technological resources in schools and the complexity of the Portuguese language. . Information technologies are present in the daily lives of new generations and the tendency is to increase, since their use is directly related to the multiple tools of social media, games and in the various methods of internet research. However, the student environment still uses traditional teaching methods, not consistent with the student's reality, generating conflicts that can hinder learning. Therefore, this work presents a virtual reality tool that provides gamified, immersive and interactive three-dimensional virtual environments performed individually, in order to assist and facilitate the appropriation of knowledge and the teaching/learning process of Brazilian elementary school students. of the Portuguese 7Language course. This tool is aimed at improving school performance in understanding and interpreting verbal and non-verbal language, making students autonomous, supportive and competent. The virtual environments were evaluated by the project researchers through a specific usability questionnaire for this type of environment, obtaining a final average of 4.93 out of 5.0, being considered suitable for future use in classrooms.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"299 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79660030","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n4.e377
Maria Irene Teodoro Lopes, Maria do Socorro Ribeiro Hortegal Filha
In this work, Pearson's linear correlation method was used to assess the influence of socioeconomic indicators on Per capita water consumption in the state of Ceará. For this, data from the 2010 Census were used for the municipal human development index (HDI), as well as data on the Gross Domestic Product (GDP) per capita and the per capita consumption of water from 2013 to 2018 for the 184 municipalities in the state of Ceará. To facilitate the analysis, the municipalities were analyzed according to the state's mesoregions, which are 7. The results obtained demonstrate a weak correlation between the HDI the Per capita water consumption, which can be explained by the various influencing factors in the HDI result. And in relation to the correlation between GDP per capita and water consumption, weak correlations were also found according to the division into mesoregions, but with a large amplitude for the municipalities in the same mesoregion. Observing the individuality of the municipalities, a strong or moderate correlation was obtained in 47.7% of the municipalities in Ceará. The methodology used is easy to analyze and understand and proves to be very useful for planning water supply systems.
{"title":"UTILIZAÇÃO DO COEFIECIENTE LINEAR DE PEARSON PARA AVALIAR A INFLUÊNCIA DOS INDICADORES PIB E IDH NO CONSUMO PER CAPITA DE ÁGUA NO ESTADO DO CEARÁ","authors":"Maria Irene Teodoro Lopes, Maria do Socorro Ribeiro Hortegal Filha","doi":"10.5747/ce.2021.v13.n4.e377","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n4.e377","url":null,"abstract":"In this work, Pearson's linear correlation method was used to assess the influence of socioeconomic indicators on Per capita water consumption in the state of Ceará. For this, data from the 2010 Census were used for the municipal human development index (HDI), as well as data on the Gross Domestic Product (GDP) per capita and the per capita consumption of water from 2013 to 2018 for the 184 municipalities in the state of Ceará. To facilitate the analysis, the municipalities were analyzed according to the state's mesoregions, which are 7. The results obtained demonstrate a weak correlation between the HDI the Per capita water consumption, which can be explained by the various influencing factors in the HDI result. And in relation to the correlation between GDP per capita and water consumption, weak correlations were also found according to the division into mesoregions, but with a large amplitude for the municipalities in the same mesoregion. Observing the individuality of the municipalities, a strong or moderate correlation was obtained in 47.7% of the municipalities in Ceará. The methodology used is easy to analyze and understand and proves to be very useful for planning water supply systems.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82558502","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n3.e368
M. Furuya, Danielle Elis Garcia Furuya, Lucas Prado Osco, A. Ramos
The urbanization process exposes the urban landscape to rapid and constant transformations. The change in land use and land cover patterns directly impacts the quality of life in cities. Therefore, monitoring the urban territorial composition becomes essential for urban management. To gain access to these data, studies have been applying remote sensing techniques combined with machine learning. Satellite images provide large-scale data with high temporal resolution, making it easier to detect changes in the landscape. Machine learning algorithms, on the other hand, provide classifications with greater accuracy compared to traditional methods. From this context and the available techniques, the study aims to evaluate the performance of the Support Vector Machine (SVM) algorithm in quantifying impervious areas in the urban perimeter of Presidente Prudente from a Planet image. The classification process was done using ArcGIS Pro software. The results demonstrate high performance for the SVM when applied in classification of impervious areas in urban territory. The accuracy of 94% shows that the method proposed in the work is useful as a tool for urban planning.
{"title":"CLASSIFICAÇÃO DE SUPERFÍCIES IMPERMEÁVEIS EM IMAGEM MULTIESPECTRAL COM ALGORITMO DE MACHINE LEARNING","authors":"M. Furuya, Danielle Elis Garcia Furuya, Lucas Prado Osco, A. Ramos","doi":"10.5747/ce.2021.v13.n3.e368","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n3.e368","url":null,"abstract":"The urbanization process exposes the urban landscape to rapid and constant transformations. The change in land use and land cover patterns directly impacts the quality of life in cities. Therefore, monitoring the urban territorial composition becomes essential for urban management. To gain access to these data, studies have been applying remote sensing techniques combined with machine learning. Satellite images provide large-scale data with high temporal resolution, making it easier to detect changes in the landscape. Machine learning algorithms, on the other hand, provide classifications with greater accuracy compared to traditional methods. From this context and the available techniques, the study aims to evaluate the performance of the Support Vector Machine (SVM) algorithm in quantifying impervious areas in the urban perimeter of Presidente Prudente from a Planet image. The classification process was done using ArcGIS Pro software. The results demonstrate high performance for the SVM when applied in classification of impervious areas in urban territory. The accuracy of 94% shows that the method proposed in the work is useful as a tool for urban planning.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84789188","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}
Pub Date : 2021-12-20DOI: 10.5747/ce.2021.v13.n3.e370
Joaquim Rodrigues de Oliveira Neto, Natan Cabral Murro, C. Nascimento, Maíra Rodrigues Uliana, Patrícia Alexandra Antunes
The phytoremediation is an alternative in the decontamination of the environment, in which plants capable of absorbing contaminating ions are used. Thereby, the scientific research aims to verify if the corn can phytoextract, accumulate, hyperaccumulate and tolerate toxic metals in the plant biomass in anthropically contaminated soils. The experimental design was completely randomized, consisting of four treatments with four replications, totaling sixteen portions for each contaminant. The application of metals and EDTA were carried out in the form of a solution, contaminating the soil 46 days after maize maturation in pots. The concentrations were above the intervention values of CETESB. Soil and plant tissues analyzes were performed by the Atomic Absorption Spectrometer, which resulted in significant concentrations. The results of the Analysis of Variance and post-hoc Tukey's Test, suffered a reduction in dry biomass and an increase in the accumulated amount. Corn was tolerant to the highest dose of lead, but it was intolerant to the highest doses of cadmium and chromium. Thus, the results indicated that the maize phytoextracted contaminants efficiently, but it cannot be used as a phytoremediator in contaminated sites because they cause food poisoning for the living beings, once corn is used in Brazil and worldwide for animal feed and for the food industry of high nutritional and energy qualities.
{"title":"EXTRAÇÃO DE METAIS TÓXICOS EM SOLOS CONTAMINADOS UTILIZANDO O MILHO COMO POSSÍVEL FITORREMEDIADOR","authors":"Joaquim Rodrigues de Oliveira Neto, Natan Cabral Murro, C. Nascimento, Maíra Rodrigues Uliana, Patrícia Alexandra Antunes","doi":"10.5747/ce.2021.v13.n3.e370","DOIUrl":"https://doi.org/10.5747/ce.2021.v13.n3.e370","url":null,"abstract":"The phytoremediation is an alternative in the decontamination of the environment, in which plants capable of absorbing contaminating ions are used. Thereby, the scientific research aims to verify if the corn can phytoextract, accumulate, hyperaccumulate and tolerate toxic metals in the plant biomass in anthropically contaminated soils. The experimental design was completely randomized, consisting of four treatments with four replications, totaling sixteen portions for each contaminant. The application of metals and EDTA were carried out in the form of a solution, contaminating the soil 46 days after maize maturation in pots. The concentrations were above the intervention values of CETESB. Soil and plant tissues analyzes were performed by the Atomic Absorption Spectrometer, which resulted in significant concentrations. The results of the Analysis of Variance and post-hoc Tukey's Test, suffered a reduction in dry biomass and an increase in the accumulated amount. Corn was tolerant to the highest dose of lead, but it was intolerant to the highest doses of cadmium and chromium. Thus, the results indicated that the maize phytoextracted contaminants efficiently, but it cannot be used as a phytoremediator in contaminated sites because they cause food poisoning for the living beings, once corn is used in Brazil and worldwide for animal feed and for the food industry of high nutritional and energy qualities.","PeriodicalId":30414,"journal":{"name":"Colloquium Exactarum","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85821882","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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