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Internet of Things experimental platform for real-time water monitoring: a case study of the Araranguá River estuary 物联网水实时监测实验平台——以阿拉纳古格<e:1>河口为例
4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-09-27 DOI: 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.
物联网(IoT)是一种可用于监控多个部门的技术,主要是精准农业,其中环境数据可用于更好地管理资源,降低成本并改善自然资源的使用。本研究提出了基于云的物联网技术在稻田灌溉用水监测中的应用。巴西南部被选为案例研究,因为它受到城市活动、煤矿开采和咸水流入阿拉纳古格河口造成的水污染问题的困扰。这些因素都会影响灌溉用水的水质。灌溉水中盐的存在会影响水稻的生长,因此对其进行监测对成功种植至关重要。目前,稻农需要前往河岸使用手动传感器评估水质。这个过程需要时间和资源,而且并不总是有效的。这项技术有助于表明水的质量是否适合灌溉作物,帮助农民决定是否使用这些水来灌溉他们的田地。该解决方案基于低成本的无线传感器网络设备,随后使用网络移动电话云从网关传输数据。智能手机还可以通过移动应用程序访问收集的数据。该系统在巴西圣卡塔琳娜州南部的araranguu河河口进行了测试。此外,对于需要监测作物水渠质量的农民来说,它似乎是一个选择,从而避免作物产量的损失和降低,因为该系统可以持续监测并向用户显示通知。这项工作的亮点是一个完整的解决方案原型,以帮助农民使用智能手机应用程序。
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引用次数: 0
Mixture Design of Experiments as Strategy for Portfolio Optimization 组合优化策略中的实验混合设计
4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-09-27 DOI: 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.
投资组合分析被金融投资者广泛用于寻找在各种经济条件下产生有效结果的投资组合。马科维茨通过均值方差法开始了投资组合优化方法,其目标是使风险最小化,收益最大化。这项研究被称为马科维茨平均方差理论(MVP)。最优的投资组合除了具有良好的分散性外,还具有良好的回报和低风险。本文提出了一种获得期望收益最高、风险最低的最优投资组合的方法。该方法使用混合实验设计(MDE)作为建立投资组合优化中风险和收益非线性模型的策略;MDE中的计算副本捕捉序列的动态演化;利用香农熵指数更好地进行投资组合分散;期望函数对多个变量进行优化,使期望收益最大,风险最低。为了说明这一建议,用ARMA-GARCH模型模拟了一些时间序列。结果与传统的马科维茨均值方差(MVP)理论生成的有效边界进行了比较。结果表明,该方法有利于决策,因为投资组合是在非主导区域以唯一组合获得的。使用该方法的优点是副本提高了模型的精度。
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引用次数: 0
A modified mode shape data-based method for beams structural damage detection 基于改进模态振型数据的梁结构损伤检测方法
4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-09-27 DOI: 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).
与其他方法相比,基于变模态参数的损伤检测方法具有较好的检测效果和较低的成本,在工程应用中受到了广泛的关注。基于模态振型数据的指标(MSDBI)是一种可在文献中找到的损伤指标,用于在研究单元的未损伤和损坏配置中,从模态振型、模态振型斜率和模态振型曲率来识别梁结构的损伤。然而,在某些情况下,与受损结构相比,未损伤结构的第i模态的位移模态振型的构型呈现镜像。当这些情况发生时,损伤识别算法可能是一个更好的指标。因此,本文提出了一种改进该方法的建议,称为MSDBIM。将本文提出的改进方法(MSDBIM)和传统方法(MSDBI)分别应用于有限元商业软件中阐述的简支混凝土梁和固定端钢梁两种不同单一和多重损伤情景的数值算例中,并进行了灵敏度研究。对固定端梁进行了新的离散化,以评估是否存在直接影响损伤识别方法。结果表明,所提方法(mssdbim)的性能优于传统方法(MSDBI)。
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引用次数: 0
Pesticide residues detected in Colossoma macropomum by the modified QuEChERS and GC-MS/MS methods 改进的QuEChERS和GC-MS/MS法检测巨形巨像中农药残留
4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-09-27 DOI: 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。
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引用次数: 0
Geotechnologies applied to geographic information system (GIS) of Fish farming in Rondônia state, Western Amazon 地理技术在亚马逊西部Rondônia州养鱼地理信息系统中的应用
4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-09-27 DOI: 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%。
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引用次数: 0
Validation of mathematical models as a tool for prediction of α-amylase production by Coprinus comatus in a low-cost culture medium 数学模型在低成本培养基中预测鸡鸡α-淀粉酶产量的验证
IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-05-05 DOI: 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.
研究新的微生物来源和评估其生长动力学行为对预测大规模生产至关重要。此外,由于需要降低酶的生产成本,低成本培养基的研究也引起了人们的兴趣。关于利用大型菌体作为淀粉酶的来源,并应用数学模型来预测其行为的文献很少。本试验研究了4种培养基在不同培养基组成下的生长动力学,其中2种培养基使用不同浓度的低品质面粉(LGF), 1种培养基使用小麦磨副产物,2种培养基使用合成培养基。在动力学方面,采用数学模型来评价生物过程及其规模化可行性。数学模型,如改良Logistic、改良Gompertz、Baranyi和Roberts、改良Luedeking-Piret,被用于预测菌丝生长、酶产量和底物消耗。结果表明,该模型能够预测菌丝生长(生物量)和底物消耗(淀粉浓度)。另一方面,由于鸡腿菇合成的生物分子的复杂性和多样性,数学模型只能有效地描述最大酶活性(α-淀粉酶),而不能描述过程的其他参数。小麦碾磨副产物可作为培养基组成的有效成分。结果表明,B2配方(含48.5 g/L LGF的培养基)是产α-淀粉酶的最佳配方,且该工艺在工业规模上的推广潜力最大。这项研究对科学界来说是重要和有效的,因为文献中对大型真菌的建模研究很少。
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引用次数: 0
Economic analysis of a cosmetic initiative addressing stochastic aspects and risk quantification 解决随机方面和风险量化的美容计划的经济分析
IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-04-28 DOI: 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.
本文评估了一个典型的巴西城市的中小型化妆品倡议的经济可行性。巴西化妆品行业对投资者来说是非常有前途的,尤其是在设计电子商务平台的情况下,因为虚拟销售是该行业的新趋势。因此,考虑实施电子商务平台所需的成本,以保证工厂的生产能力需求。虽然确定性分析可能提供经济可行性的初步概述,但与制造相关的固有风险。这些风险可能会对经济评估结果产生相当大的影响,因此,基于软件Oracle水晶球®进行随机分析。拟议的方法保证了准确和详细的评估,以及关于巴西化妆品倡议的经济可行性的可靠结论。结果表明,这样的举措是非常有利可图的。
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引用次数: 0
Performance evaluation of urban drainage systems: an analytic hierarchy process approach for the Jaracati basin in Brazil 城市排水系统性能评价:巴西Jaracati流域的层次分析法
IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-04-28 DOI: 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.
城市中心及其周边地区排水系统的效率值得越来越多的特别关注,因为它们与社会和环境方面的相互关系与排水基础设施的性能有关。综合城市水管理是影响城市排水系统有效性的一个主要因素。在大城市中,无序城市化进程所带来的负面影响,特别是与雨水径流相关的负面影响日益显现。利用系统脆弱性指标(IFS)和层次分析法(AHP)对巴西马拉南州贾拉卡蒂河流域的城市排水系统进行排序,建立了城市排水系统评价模型。指标是通过评价系统和排水系统专家的经验来衡量的。所获得的结果允许巩固一个模型,以支持在减轻流域城市排水所涉及的社会环境影响的措施的评估过程中的规划和决策,其绩效指标能够保证对模型的支持,并对城市排水系统的绩效参数进行测量。
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引用次数: 0
Dorsal hand vein biometrics with a novel deep learning approach for person identification 基于深度学习的手背静脉生物识别技术
IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-04-28 DOI: 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.
本研究提出的手背生物特征识别系统在基于深度学习的卷积神经网络(CNN)模型中结合了手背静脉生物特征区域的信息强度。该方法将每个背图像划分为五个重叠的区域;因此,每个图像获得五个不同的训练和测试集,在只使用一个特征的情况下建模一个多模态生物识别系统。测试输出通过分数级融合进行组合。在FYO、Bosphorus和Badawi数据集上的实验结果表明了该方法的有效性和与其他识别系统的可比性。结果还与最先进的手背静脉识别系统进行了比较,以显示所提出的生物识别架构在不同条件下表现良好的能力,这些条件可能会影响手背静脉模式的获取,并对识别系统的效率产生相应的影响。
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引用次数: 0
Classifying the physical activity indicator using machine learning and direct measurements: a feasibility study 使用机器学习和直接测量对体力活动指标进行分类:可行性研究
IF 0.8 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Pub Date : 2023-04-28 DOI: 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.
低水平的身体活动(PA)与死亡、高血压、冠心病、中风、糖尿病和抑郁症的风险增加有关。然后,评估一个人的PA水平对于制定有助于预防此类风险的培训计划至关重要。然而,目前的PA测量主要是主观的,往往低估或高估一个人的PA水平。本文旨在通过直接和客观的测量对PA水平进行分类的试点横断面可行性研究的结果。为此,获得了15名参与者(8名男性和7名女性)的人体测量学和姿势摇摆(PS)特征等直接测量结果。采用支持向量机(SVM)的机器学习技术预测PA的水平。该分类器的F1、查全率和准确率均在80%左右,经过特征重要性选择和超参数调整后达到100%。结果表明,使用直接测量来分类PA水平是可行的,并且直接测量与IPAQ-SF之间存在相关性,IPAQ-SF是通常用于评估PA水平的间接测量。该分类器旨在成为一种工具,帮助教练和医生认可或调整他们的身体训练和康复程序的基础上,客观评价的病人。
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