Pub Date : 2023-09-27DOI: 10.4025/actascitechnol.v45i1.63130
Analúcia Schiaffino Morales, Carla de Abreu D´Aquino, Rauan Bernardo Pires Klaus, Gustavo da Silva Vargas, Marcos Antonio Martins Giassi, Fabrício de Oliveira Ourique
The Internet of Things (IoT) is a technology that can be employed to monitor several sectors, mostly precision agriculture, where environmental data can be used to better manage resources, reduce costs, and improve the use of natural resources. This work proposes the application of cloud-based IoT for monitoring irrigation water in rice fields. Southern Brazil was chosen as a case study because it suffers from water pollution problems due to urban activities, coal mining, and the inflow of saline water into the Araranguá River estuary. All these factors can compromise the water quality for irrigation. The presence of salt in irrigation water can compromise rice growth, making its monitoring essential for successful cultivation. Currently, the rice farmer needs to travel to the riverbank to assess the water quality using a manual sensor. This procedure demands time and resources and is not always efficient. The technology helps indicate whether the water is of quality to irrigate crops, helping the farmers decide whether to use that water to irrigate their fields. The solution is based on low-cost wireless sensor network devices, with subsequent transmission of data from the gateway using the network mobile phone cloud. Data collected were also accessed by the smartphone through a mobile application. This system was implemented for testing in the Araranguá River estuary, southern Santa Catarina, Brazil. Also, it appears as an option for farmers who need to monitor the quality of the water channel of the crop, thus avoiding the loss and reduction in crop productivity because the system can be continuously monitored and show notifications to the user. The highlights of this work were prototyping a complete solution to help the farmer using a smartphone application.
{"title":"Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary","authors":"Analúcia Schiaffino Morales, Carla de Abreu D´Aquino, Rauan Bernardo Pires Klaus, Gustavo da Silva Vargas, Marcos Antonio Martins Giassi, Fabrício de Oliveira Ourique","doi":"10.4025/actascitechnol.v45i1.63130","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63130","url":null,"abstract":"The Internet of Things (IoT) is a technology that can be employed to monitor several sectors, mostly precision agriculture, where environmental data can be used to better manage resources, reduce costs, and improve the use of natural resources. This work proposes the application of cloud-based IoT for monitoring irrigation water in rice fields. Southern Brazil was chosen as a case study because it suffers from water pollution problems due to urban activities, coal mining, and the inflow of saline water into the Araranguá River estuary. All these factors can compromise the water quality for irrigation. The presence of salt in irrigation water can compromise rice growth, making its monitoring essential for successful cultivation. Currently, the rice farmer needs to travel to the riverbank to assess the water quality using a manual sensor. This procedure demands time and resources and is not always efficient. The technology helps indicate whether the water is of quality to irrigate crops, helping the farmers decide whether to use that water to irrigate their fields. The solution is based on low-cost wireless sensor network devices, with subsequent transmission of data from the gateway using the network mobile phone cloud. Data collected were also accessed by the smartphone through a mobile application. This system was implemented for testing in the Araranguá River estuary, southern Santa Catarina, Brazil. Also, it appears as an option for farmers who need to monitor the quality of the water channel of the crop, thus avoiding the loss and reduction in crop productivity because the system can be continuously monitored and show notifications to the user. The highlights of this work were prototyping a complete solution to help the farmer using a smartphone application.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134903150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.4025/actascitechnol.v45i1.63500
André Rodrigues Monticeli, Pedro Paulo Balestrassi, Antônio Carlos Zambroni de Souza, Eduardo Gomes Carvalho, Lázaro Eduardo da Silva, Paulo César Mappa
Portfolio analysis is widely used by financial investors to find portfolios producing efficient results under various economic conditions. Markowitz started the portfolio optimization approach through mean-variance, whose objective is to minimize risk and maximize the return. This study is called Markowitz Mean-Variance Theory (MVP). An optimal portfolio has a good return and low risk, in addition to being well diversified. In this paper, we proposed a methodology for obtaining an optimal portfolio with the highest expected return and the lowest risk. This methodology uses Mixture Design of Experiments (MDE) as a strategy for building non-linear models of risk and return in portfolio optimization; computational replicas in MDE to capture dynamical evolution of series; Shannon entropy index to handle better portfolio diversification; and desirability function to optimize multiple variables, leading to the maximum expected return and lowest risk. To illustrate this proposal, some time series were simulated by ARMA-GARCH models. The result is compared to the efficient frontier generated by the traditional theory of Markowitz Mean-Variance (MVP). The results show that this methodology facilitates decision making, since the portfolio is obtained in the non-dominated region, in a unique combination. The advantage of using the proposed method is that the replicas improve the model precision.
{"title":"Mixture Design of Experiments as Strategy for Portfolio Optimization","authors":"André Rodrigues Monticeli, Pedro Paulo Balestrassi, Antônio Carlos Zambroni de Souza, Eduardo Gomes Carvalho, Lázaro Eduardo da Silva, Paulo César Mappa","doi":"10.4025/actascitechnol.v45i1.63500","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63500","url":null,"abstract":"Portfolio analysis is widely used by financial investors to find portfolios producing efficient results under various economic conditions. Markowitz started the portfolio optimization approach through mean-variance, whose objective is to minimize risk and maximize the return. This study is called Markowitz Mean-Variance Theory (MVP). An optimal portfolio has a good return and low risk, in addition to being well diversified. In this paper, we proposed a methodology for obtaining an optimal portfolio with the highest expected return and the lowest risk. This methodology uses Mixture Design of Experiments (MDE) as a strategy for building non-linear models of risk and return in portfolio optimization; computational replicas in MDE to capture dynamical evolution of series; Shannon entropy index to handle better portfolio diversification; and desirability function to optimize multiple variables, leading to the maximum expected return and lowest risk. To illustrate this proposal, some time series were simulated by ARMA-GARCH models. The result is compared to the efficient frontier generated by the traditional theory of Markowitz Mean-Variance (MVP). The results show that this methodology facilitates decision making, since the portfolio is obtained in the non-dominated region, in a unique combination. The advantage of using the proposed method is that the replicas improve the model precision.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134903154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.4025/actascitechnol.v45i1.63847
Will José de Lima Júnior, Wayne Santos de Assis
Damage detection methods based on changing modal parameters have received considerable attention in engineering applications due to the satisfactory results and the low associated cost compared with other techniques. The Mode Shape Data Based Indicator (MSDBI) is a damage indicator available in the literature, being used to identify damage in beam structures from the mode shape, mode shape slope and mode shape curvature, in the undamaged and damaged configurations of the element under study. However, in some situations, the configuration of the displacement mode shape of the ith mode, of the undamaged structure compared to the damaged one, presents mirroring. The damage identification algorithm could be a better indicator when these situations occur. Them, this paper presents a proposal to modify this method, called MSDBIM. The proposed modified method (MSDBIM) and the traditional method (MSDBI) were applied in two numerical examples that were elaborated in commercial software of finite elements, namely a simply supported concrete beam and a fixed-end steel beam in different single and multiple damage scenarios with sensitivity studies. A new discretization for the fixed-end beam was performed to assess whether there is a direct influence on the damage identification method. The results show that the proposed method (MSDBIM) performs better than the traditional method (MSDBI).
{"title":"A modified mode shape data-based method for beams structural damage detection","authors":"Will José de Lima Júnior, Wayne Santos de Assis","doi":"10.4025/actascitechnol.v45i1.63847","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63847","url":null,"abstract":"Damage detection methods based on changing modal parameters have received considerable attention in engineering applications due to the satisfactory results and the low associated cost compared with other techniques. The Mode Shape Data Based Indicator (MSDBI) is a damage indicator available in the literature, being used to identify damage in beam structures from the mode shape, mode shape slope and mode shape curvature, in the undamaged and damaged configurations of the element under study. However, in some situations, the configuration of the displacement mode shape of the ith mode, of the undamaged structure compared to the damaged one, presents mirroring. The damage identification algorithm could be a better indicator when these situations occur. Them, this paper presents a proposal to modify this method, called MSDBIM. The proposed modified method (MSDBIM) and the traditional method (MSDBI) were applied in two numerical examples that were elaborated in commercial software of finite elements, namely a simply supported concrete beam and a fixed-end steel beam in different single and multiple damage scenarios with sensitivity studies. A new discretization for the fixed-end beam was performed to assess whether there is a direct influence on the damage identification method. The results show that the proposed method (MSDBIM) performs better than the traditional method (MSDBI).","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134903157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.4025/actascitechnol.v45i1.63831
Ezequiel Ferreira Barbosa, Patrícia Conceição Amaral Pereira, Francisco Carlos da Silva, Átila Bezerra de Mira, Jerônimo Vieira Dantas Filho, Sandro de Vargas Schons
This study aimed to detect pesticides in the muscle tissue of farmed tambaqui (Colossoma macropomum), in relation to good management practices (GMP) and prophylaxis and biosecurity measures. There were 54 fish farms randomly selected from the 138 found in the Microregion of Zona da Mata, RO - Brazil, for visits and collection of epidemiological data. There were extracted 24 muscle fragments were extracted from dorsolateral portion of the tail of five specimens tambaqui per fish farming. The methods of detection and quantification of pesticide residues were modified QuEChERS and GC-MS/MS. Most fish farms are small businesses and their production areas are smaller than a rural module. These ventures are an income alternative for rural producers, this information is confirmed in percentage of 88.89% (48/54) of the rural properties visited have livestock and agriculture as their main productive activity. Water monitoring was carried out in 70.37% of fish farms. However, with frequency of two water analyzes per year. Preventive and prophylactic measures taken were performed in 30% (17/54). In addition, 7% (4/54) of fish farmers reported using sodium chloride and/or using formalin as a secondary preventive measure. It is also important to mention that there was a report of administration of potassium permanganate in a fish farm, 2% (1/54). There were 12.49% (3/54) positive for at least one pesticide. The chemical compounds found Azosxystrobin (
本研究旨在对养殖的大斑鲷(Colossoma macropomum)肌肉组织中的农药进行检测，并与良好管理规范(GMP)、预防和生物安全措施相关。从巴西罗罗州Zona da Mata微区发现的138个渔场中随机选择54个渔场进行访问和收集流行病学数据。每个养殖场共从5条坦巴鱼尾部背外侧提取24块肌肉碎片。农药残留的检测和定量方法分别为改进的QuEChERS和GC-MS/MS。大多数养鱼场都是小型企业，其生产面积小于农村模块。这些企业是农村生产者的另一种收入选择，这一信息在88.89%(48/54)的受访农村财产中得到证实，这些财产以畜牧业和农业为主要生产活动。70.37%的养鱼场开展了水质监测。然而，以每年两次水分析的频率。采取预防和预防措施的占30%(17/54)。此外，7%(4/54)的养鱼户报告使用氯化钠和/或福尔马林作为二级预防措施。同样重要的是，有一份报告称，在一个养鱼场施用高锰酸钾，2%(1/54)。至少1种农药阳性检出率为12.49%(3/54)。化合物中发现偶氮虫胺(LOQ)、环氧康唑(LOQ)和毒死蜱(LOQ)。在坦巴蚊肌肉组织样本中检测到的氮唑虫胺、环氧康唑和毒死蜱的含量超过了PNCRC的可接受限度。
{"title":"Pesticide residues detected in Colossoma macropomum by the modified QuEChERS and GC-MS/MS methods","authors":"Ezequiel Ferreira Barbosa, Patrícia Conceição Amaral Pereira, Francisco Carlos da Silva, Átila Bezerra de Mira, Jerônimo Vieira Dantas Filho, Sandro de Vargas Schons","doi":"10.4025/actascitechnol.v45i1.63831","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63831","url":null,"abstract":"This study aimed to detect pesticides in the muscle tissue of farmed tambaqui (Colossoma macropomum), in relation to good management practices (GMP) and prophylaxis and biosecurity measures. There were 54 fish farms randomly selected from the 138 found in the Microregion of Zona da Mata, RO - Brazil, for visits and collection of epidemiological data. There were extracted 24 muscle fragments were extracted from dorsolateral portion of the tail of five specimens tambaqui per fish farming. The methods of detection and quantification of pesticide residues were modified QuEChERS and GC-MS/MS. Most fish farms are small businesses and their production areas are smaller than a rural module. These ventures are an income alternative for rural producers, this information is confirmed in percentage of 88.89% (48/54) of the rural properties visited have livestock and agriculture as their main productive activity. Water monitoring was carried out in 70.37% of fish farms. However, with frequency of two water analyzes per year. Preventive and prophylactic measures taken were performed in 30% (17/54). In addition, 7% (4/54) of fish farmers reported using sodium chloride and/or using formalin as a secondary preventive measure. It is also important to mention that there was a report of administration of potassium permanganate in a fish farm, 2% (1/54). There were 12.49% (3/54) positive for at least one pesticide. The chemical compounds found Azosxystrobin (<LOQ), Epoxiconazole (<LOQ) and Chlorpyrifos (<LOQ). The presence of Azosxystrobin, Epoxiconazol and Chlorpyrifos in tambaqui muscle tissue samples was detected above acceptable limits by the PNCRC.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134902103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-27DOI: 10.4025/actascitechnol.v45i1.64103
Paulo de Tarso da Fonseca Albuquerque, Ricardo Henrique Bastos de Souza, Daiane de Oliveira Rocha, Jucilene Cavali, Alex Mota dos Santos, Jerônimo Vieira Dantas Filho
This research demonstrated a Geographic Information System (GIS) of licensed fish farms in Rondônia state, Brazil. Based on structuring of the GIS, spatial analyzes of location and distribution of fish farms were carried out in relation to highway network; to drainage; to microregions of Rondônia and the verification of the density. Methodological procedure consisted of modeling the Database (DB), whose information was obtained from Secretaria do Estado de Rondônia para Desenvolvimento Ambiental (SEDAM/RO), which holds the references of licensed fish farms processed in SPRING and ARCGIS 9 Arcmap 9.3 software. For spatial statistics, the Kernel density estimator was applied. The main result is the fact that GIS made it quick and easy to search for data and information about the fish farms studied. The highest density was 4937.64 fish farms per unit area in Ji-Paraná microregion, which is located in the Central region of Rondônia state. In thematic mapping, the fish farms showed some spatial dependencies, as follows: I – They depend on main access, highway BR 364. II – The cluster of fish farms is arranged where there is greater availability of water, that is, they depend on water courses. Therefore, positioning and distribution of fish farms take place in the three main microregions, Ji-Paraná 40.30% of licensed fish farms, followed by microregions of Cacoal 16.02% and Ariquemes 15.87%.
本研究演示了巴西Rondônia州许可养鱼场的地理信息系统(GIS)。在构建GIS的基础上，结合公路网对养鱼场的位置和分布进行了空间分析;排水;到Rondônia微区，并对密度进行验证。方法学程序包括对数据库(DB)进行建模，数据库的信息来自于Rondônia para Desenvolvimento Ambiental秘书处(SEDAM/RO)，该数据库包含在SPRING和ARCGIS 9 Arcmap 9.3软件中处理的许可养鱼场的参考资料。对于空间统计，采用核密度估计。主要的结果是，地理信息系统使搜索有关所研究的养鱼场的数据和信息变得快捷和容易。位于Rondônia州中部地区的冀巴拉微区密度最高，为4937.64个/单位面积。在主题图中，养鱼场表现出一定的空间依赖性，主要表现在:1 .养鱼场依赖于主要通道br364高速公路。II -鱼群被安排在水源较充足的地方，也就是说，它们依赖于水道。因此，养鱼场的定位和分布主要集中在三个微区，其中ji - parar微区占40.30%，Cacoal微区占16.02%，Ariquemes微区占15.87%。
{"title":"Geotechnologies applied to geographic information system (GIS) of Fish farming in Rondônia state, Western Amazon","authors":"Paulo de Tarso da Fonseca Albuquerque, Ricardo Henrique Bastos de Souza, Daiane de Oliveira Rocha, Jucilene Cavali, Alex Mota dos Santos, Jerônimo Vieira Dantas Filho","doi":"10.4025/actascitechnol.v45i1.64103","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.64103","url":null,"abstract":"This research demonstrated a Geographic Information System (GIS) of licensed fish farms in Rondônia state, Brazil. Based on structuring of the GIS, spatial analyzes of location and distribution of fish farms were carried out in relation to highway network; to drainage; to microregions of Rondônia and the verification of the density. Methodological procedure consisted of modeling the Database (DB), whose information was obtained from Secretaria do Estado de Rondônia para Desenvolvimento Ambiental (SEDAM/RO), which holds the references of licensed fish farms processed in SPRING and ARCGIS 9 Arcmap 9.3 software. For spatial statistics, the Kernel density estimator was applied. The main result is the fact that GIS made it quick and easy to search for data and information about the fish farms studied. The highest density was 4937.64 fish farms per unit area in Ji-Paraná microregion, which is located in the Central region of Rondônia state. In thematic mapping, the fish farms showed some spatial dependencies, as follows: I – They depend on main access, highway BR 364. II – The cluster of fish farms is arranged where there is greater availability of water, that is, they depend on water courses. Therefore, positioning and distribution of fish farms take place in the three main microregions, Ji-Paraná 40.30% of licensed fish farms, followed by microregions of Cacoal 16.02% and Ariquemes 15.87%.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134903158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-05DOI: 10.4025/actascitechnol.v45i1.63415
Luana Cristina Paludo, Ana Paula Biz, Kamilla Marques Gonçalves, C. Strobel, Michelle Rossana Ferreira Vaz, M. R. Spier
Studying new microbial sources and evaluating the growth kinetics behavior to predict large-scale production become essential. Besides, research with low-cost culture media has gained interest due to the need to decrease enzyme production costs. The literature concerning the use of macromycetes as a source of amylases, and applying mathematical models to predict their behavior is scarce. In this study, four growth kinetics in different compositions of culture media were carried out: two of them using different concentrations of Low-Grade Flour (LGF), one wheat mill by-product and two synthetic ones. In the kinetics mathematical models were used to evaluate the bioprocesses and their scaling feasibility. Mathematical models, such as modified Logistic, modified Gompertz, Baranyi, and Roberts, and modified Luedeking-Piret, were applied to predict mycelial growth, enzyme production, and substrate consumption. The results showed the model’s capability to predict mycelial growth (biomass) and substrate consumption (starch concentration). On the other hand, the mathematical models efficiently describe only the maximum enzymatic activity (α-amylase), not the process's other parameters, because of the complexity and diversity of biomolecules synthesized by Coprinus comatus. The wheat mill by-product was efficient as an ingredient in the culture media composition. Furthermore, it was concluded that B2 formulation (culture medium with 48.5 g/L of LGF) is the batch with the highest potential for the α-amylase production from C. comatus and the expansion of this process on an industrial scale. This study is important and valid for the scientific community since modeling studies for macromycetes are scarce in the literature.
{"title":"Validation of mathematical models as a tool for prediction of α-amylase production by Coprinus comatus in a low-cost culture medium","authors":"Luana Cristina Paludo, Ana Paula Biz, Kamilla Marques Gonçalves, C. Strobel, Michelle Rossana Ferreira Vaz, M. R. Spier","doi":"10.4025/actascitechnol.v45i1.63415","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63415","url":null,"abstract":"Studying new microbial sources and evaluating the growth kinetics behavior to predict large-scale production become essential. Besides, research with low-cost culture media has gained interest due to the need to decrease enzyme production costs. The literature concerning the use of macromycetes as a source of amylases, and applying mathematical models to predict their behavior is scarce. In this study, four growth kinetics in different compositions of culture media were carried out: two of them using different concentrations of Low-Grade Flour (LGF), one wheat mill by-product and two synthetic ones. In the kinetics mathematical models were used to evaluate the bioprocesses and their scaling feasibility. Mathematical models, such as modified Logistic, modified Gompertz, Baranyi, and Roberts, and modified Luedeking-Piret, were applied to predict mycelial growth, enzyme production, and substrate consumption. The results showed the model’s capability to predict mycelial growth (biomass) and substrate consumption (starch concentration). On the other hand, the mathematical models efficiently describe only the maximum enzymatic activity (α-amylase), not the process's other parameters, because of the complexity and diversity of biomolecules synthesized by Coprinus comatus. The wheat mill by-product was efficient as an ingredient in the culture media composition. Furthermore, it was concluded that B2 formulation (culture medium with 48.5 g/L of LGF) is the batch with the highest potential for the α-amylase production from C. comatus and the expansion of this process on an industrial scale. This study is important and valid for the scientific community since modeling studies for macromycetes are scarce in the literature.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80613673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-28DOI: 10.4025/actascitechnol.v45i1.59725
V. Costa, V. Valerio, R. D. C. Miranda
This paper evaluates the economic feasibility of a small/medium-scale cosmetic initiative in a typical Brazilian city. The Brazilian cosmetic sector is very promising for investors, particularly when e-commerce platforms are designed, as virtual sales are the new trend in the sector. Therefore, the required costs to implement an e-commerce platform are considered to guarantee demand for the factory’s productive capacity. While deterministic analysis might provide initial overviews of economic feasibility, there are inherent risks associated with manufacturing. These risks are likely to influence considerably the outcome of economic evaluation, hence, stochastic analysis is performed based on the software Oracle Crystal Ball®. The proposed approach guarantees an accurate and detailed evaluation, as well as solid conclusions regarding the economic feasibility of cosmetic initiatives in Brazil. Results show that such initiatives are highly profitable.
{"title":"Economic analysis of a cosmetic initiative addressing stochastic aspects and risk quantification","authors":"V. Costa, V. Valerio, R. D. C. Miranda","doi":"10.4025/actascitechnol.v45i1.59725","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.59725","url":null,"abstract":"This paper evaluates the economic feasibility of a small/medium-scale cosmetic initiative in a typical Brazilian city. The Brazilian cosmetic sector is very promising for investors, particularly when e-commerce platforms are designed, as virtual sales are the new trend in the sector. Therefore, the required costs to implement an e-commerce platform are considered to guarantee demand for the factory’s productive capacity. While deterministic analysis might provide initial overviews of economic feasibility, there are inherent risks associated with manufacturing. These risks are likely to influence considerably the outcome of economic evaluation, hence, stochastic analysis is performed based on the software Oracle Crystal Ball®. The proposed approach guarantees an accurate and detailed evaluation, as well as solid conclusions regarding the economic feasibility of cosmetic initiatives in Brazil. Results show that such initiatives are highly profitable.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89181900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-28DOI: 10.4025/actascitechnol.v45i1.63176
Rafael Fabrício Silva Pereira, N. Figueiredo, Lúcio Carlos Pinheiro Campos Filho
The efficiency of drainage systems in urban centers and especially in their peripheral regions has deserved more and more special attention since their interrelationship with social and environmental aspects is associated with the performance of drainage infrastructures. Integrated urban water management is a major factor in the effectiveness of an urban drainage system. In large cities, negative effects caused by the disorderly urbanization process, especially those related to rainwater runoff, are increasingly present. An evaluation model of urban drainage systems was generated using System Fragility Indicators (IFS) and their ranking via Analytic Hierarchy Process (AHP), in the Jaracati River basin, Maranhão State, Brazil. Indicators were measured through the evaluation of the system and the experience of specialists in drainage systems. The results obtained allowed for the consolidation of a model to support planning and decision-making in the assessment processes of measures to mitigate socio-environmental impacts involved in the urban drainage of a watershed, with performance indicators capable of guaranteeing the support of a model being verified measurement of performance parameters of urban drainage systems.
{"title":"Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil","authors":"Rafael Fabrício Silva Pereira, N. Figueiredo, Lúcio Carlos Pinheiro Campos Filho","doi":"10.4025/actascitechnol.v45i1.63176","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.63176","url":null,"abstract":"The efficiency of drainage systems in urban centers and especially in their peripheral regions has deserved more and more special attention since their interrelationship with social and environmental aspects is associated with the performance of drainage infrastructures. Integrated urban water management is a major factor in the effectiveness of an urban drainage system. In large cities, negative effects caused by the disorderly urbanization process, especially those related to rainwater runoff, are increasingly present. An evaluation model of urban drainage systems was generated using System Fragility Indicators (IFS) and their ranking via Analytic Hierarchy Process (AHP), in the Jaracati River basin, Maranhão State, Brazil. Indicators were measured through the evaluation of the system and the experience of specialists in drainage systems. The results obtained allowed for the consolidation of a model to support planning and decision-making in the assessment processes of measures to mitigate socio-environmental impacts involved in the urban drainage of a watershed, with performance indicators capable of guaranteeing the support of a model being verified measurement of performance parameters of urban drainage systems.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79844241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-28DOI: 10.4025/actascitechnol.v45i1.61948
F. O. Babalola, Y. Bi̇ti̇ri̇m, Önsen Toygar
Hand dorsal biometric recognition system proposed in this study combines the strength of information in regions of dorsal vein biometric trait in a deep learning based Convolutional Neural Networks (CNN) model. The approach divides each dorsal image into five overlapping regions; consequently, five different training and test sets are obtained for each image, modeling a multi-modal biometric system while using only one trait. The test outputs are combined by score-level fusion. Experimental results on FYO, Bosphorus and Badawi datasets indicate the efficiency of the proposed method and its comparability with other recognition systems. The results are also compared with the state-of-the-art dorsal hand vein recognition systems to show the ability of the proposed biometric architecture to perform well in different conditions that may affect dorsal vein pattern acquisition and have con-sequent effect on the efficiency of the recognition system.
{"title":"Dorsal hand vein biometrics with a novel deep learning approach for person identification","authors":"F. O. Babalola, Y. Bi̇ti̇ri̇m, Önsen Toygar","doi":"10.4025/actascitechnol.v45i1.61948","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.61948","url":null,"abstract":"Hand dorsal biometric recognition system proposed in this study combines the strength of information in regions of dorsal vein biometric trait in a deep learning based Convolutional Neural Networks (CNN) model. The approach divides each dorsal image into five overlapping regions; consequently, five different training and test sets are obtained for each image, modeling a multi-modal biometric system while using only one trait. The test outputs are combined by score-level fusion. Experimental results on FYO, Bosphorus and Badawi datasets indicate the efficiency of the proposed method and its comparability with other recognition systems. The results are also compared with the state-of-the-art dorsal hand vein recognition systems to show the ability of the proposed biometric architecture to perform well in different conditions that may affect dorsal vein pattern acquisition and have con-sequent effect on the efficiency of the recognition system.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81743331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-28DOI: 10.4025/actascitechnol.v45i1.61317
Oswaldo Rivera, O. Avilés, E. Castillo-Castañeda
Low levels of physical activity (PA) are related to an increased risk of death, hypertension, coronary disease, stroke, diabetes, and depression. Then, assessing the level of PA of a person is essential to create training programs that help prevent such risks. However, current measurements of PA are mainly subjective and tend to underestimate or overestimate the PA level of a person. This article intends the result of a pilot cross-sectional feasibility study that pretends to classify the PA level through direct and objective measurements. For this, direct measurements such as anthropometric and postural sway (PS) features from fifteen participants (8 Male and 7 Women) were obtained. To predict the level of PA machine learning technique of Support Vector Machines SVM was used. The classifier showed high F1, recall, and precision scores around 80%, and after feature importance selection and hyperparameter were tunned, they reached 100%. Results suggest that the use of direct measurements to classify the PA level is feasible and that there is a correlation between direct measurements and the IPAQ-SF, an indirect measurement that is typically used to assess the level of PA. This classifier intends to be a tool that helps trainers and physicians to endorse or adjust their physical training and rehabilitation procedures based on the objective evaluation of patients.
{"title":"Classifying the physical activity indicator using machine learning and direct measurements: a feasibility study","authors":"Oswaldo Rivera, O. Avilés, E. Castillo-Castañeda","doi":"10.4025/actascitechnol.v45i1.61317","DOIUrl":"https://doi.org/10.4025/actascitechnol.v45i1.61317","url":null,"abstract":"Low levels of physical activity (PA) are related to an increased risk of death, hypertension, coronary disease, stroke, diabetes, and depression. Then, assessing the level of PA of a person is essential to create training programs that help prevent such risks. However, current measurements of PA are mainly subjective and tend to underestimate or overestimate the PA level of a person. This article intends the result of a pilot cross-sectional feasibility study that pretends to classify the PA level through direct and objective measurements. For this, direct measurements such as anthropometric and postural sway (PS) features from fifteen participants (8 Male and 7 Women) were obtained. To predict the level of PA machine learning technique of Support Vector Machines SVM was used. The classifier showed high F1, recall, and precision scores around 80%, and after feature importance selection and hyperparameter were tunned, they reached 100%. Results suggest that the use of direct measurements to classify the PA level is feasible and that there is a correlation between direct measurements and the IPAQ-SF, an indirect measurement that is typically used to assess the level of PA. This classifier intends to be a tool that helps trainers and physicians to endorse or adjust their physical training and rehabilitation procedures based on the objective evaluation of patients.","PeriodicalId":7140,"journal":{"name":"Acta Scientiarum-technology","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79160675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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