Pub Date : 2024-02-29DOI: 10.22201/icat.24486736e.2024.22.1.1979
J. Porras, A. Acosta, A. Corona, G. Puerto
Taking advantage of the benefits provided by the energy harvesting from ambient radio frequency sources, a multiband receiver is designed and manufactured using broadband antennas constructed with textile materials to be adapted into a Tshirt. The antennas connected to the rectifier allow to capture energy from the environment from four mobile bands: 1700, 1800, 1900 and 2100 MHz, and from the 2400 MHz WiFi band.
利用从环境射频源采集能量所带来的好处，设计并制造了一个多频段接收器，使用纺织材料制成的宽带天线，可安装在 T 恤衫上。与整流器相连的天线可以从环境中采集四个移动频段的能量：1700、1800、1900 和 2100 MHz，以及 2400 MHz WiFi 频段。
{"title":"Energy harvesting system using broadband textile antennas","authors":"J. Porras, A. Acosta, A. Corona, G. Puerto","doi":"10.22201/icat.24486736e.2024.22.1.1979","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2024.22.1.1979","url":null,"abstract":"Taking advantage of the benefits provided by the energy harvesting from ambient radio frequency sources, a multiband receiver is designed and manufactured using broadband antennas constructed with textile materials to be adapted into a Tshirt. The antennas connected to the rectifier allow to capture energy from the environment from four mobile bands: 1700, 1800, 1900 and 2100 MHz, and from the 2400 MHz WiFi band.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":"43 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140411548","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 : 2024-02-29DOI: 10.22201/icat.24486736e.2024.22.1.2176
S. Sudarisman, S. Hamdan, H. Sosiati, K. Krisdiyanto
Hybrid ratio effect on flexural properties of sugar palm/E-glass fiber hybrid-reinforced polyester composites has been investigated. Before being embedded, the sugar palm fiber was taken off from its original mesh, washed, alkali-treated, and chopped into ~10 mm long. The specimens were cut from composite plates having different hybrid ratios, fabricated using cold pressed technique. The total fiber volume fraction was kept at ~0.21, where four hybrid ratios, and two span-to-depth ratios were used. The E-glass was arranged unidirectionally and placed right on the surface of a bottom mold and wetted using the matrix, and the SPF was then evenly poured on the wet E-glass arrangement in randomly oriented pattern. Specimen preparation and testing were carried out according to the ASTM D790 standard, where the E-glass sides were placed in tension sides of the beams. It was found that flexural strength, and strain at maximum stress significantly increase with the increase of hybrid ratio.
研究了混合比对糖棕榈/玻璃纤维混合增强聚酯复合材料弯曲性能的影响。在嵌入之前，先将糖棕纤维从原来的网孔中取出，洗净，碱处理，然后切成 ~10 mm 长。试样从采用冷压技术制造的不同混合比的复合板上切割下来。纤维的总体积分数保持在约 0.21，其中使用了四种混合比和两种跨度-深度比。将单向排列的 E 玻璃直接放置在底模表面并用基质润湿，然后将 SPF 以随机取向的方式均匀地浇注在润湿的 E 玻璃排列上。试样的制备和测试按照 ASTM D790 标准进行，其中 E 玻璃侧置于梁的拉伸侧。结果发现，随着混合比的增加，抗弯强度和最大应力应变都明显增加。
{"title":"effect of hybrid ratio on the flexural properties of Arenga Pinnata fiber/E-glass fiber/polyester hybrid composites","authors":"S. Sudarisman, S. Hamdan, H. Sosiati, K. Krisdiyanto","doi":"10.22201/icat.24486736e.2024.22.1.2176","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2024.22.1.2176","url":null,"abstract":"Hybrid ratio effect on flexural properties of sugar palm/E-glass fiber hybrid-reinforced polyester composites has been investigated. Before being embedded, the sugar palm fiber was taken off from its original mesh, washed, alkali-treated, and chopped into ~10 mm long. The specimens were cut from composite plates having different hybrid ratios, fabricated using cold pressed technique. The total fiber volume fraction was kept at ~0.21, where four hybrid ratios, and two span-to-depth ratios were used. The E-glass was arranged unidirectionally and placed right on the surface of a bottom mold and wetted using the matrix, and the SPF was then evenly poured on the wet E-glass arrangement in randomly oriented pattern. Specimen preparation and testing were carried out according to the ASTM D790 standard, where the E-glass sides were placed in tension sides of the beams. It was found that flexural strength, and strain at maximum stress significantly increase with the increase of hybrid ratio.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":"11 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140413713","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 : 2024-02-29DOI: 10.22201/icat.24486736e.2024.22.1.2228
N. A. Sait, J. Kathirvelan
A timely and reliable computer aided MR image-based evaluations is required for the detection and classification of Progressive supranuclear palsy (PSP). It is a neurodegenerative ailment that is clinically very difficult to identify due to a high degree of overlap in characterized symptoms. Unlike other ailments, the primary constraint regarding PSP is the limited research work in this area. The main aim of our study is to establish a generalized model by comparing traditional custom CNN and transfer learning models such as DenseNet121, ResNet50, InceptionV3, VGG16, EfficientNetB0, Xception, MobileNet and InceptionResNetV2 which are fine tuned for the detection and classification of PSP with higher accuracy rates. Existing research has primarily focused on reducing the time complexity of neural networks and has only had success with low-level features. Furthermore, obtaining a significant volume of distributed labelled data is difficult. In our research, 125 T1 protocol based high resolution MRI images of 65 PSP and 60 normal control patients were considered. The image dataset is pre-processed, normalized and augmented before deploying them to the respective networks. The results propose that ‘InceptionResNetV2’ model can be considered as a generalised model for the detection and classification of PSP. The network offered a classification accuracy of 95%, Precision of 100%, Sensitivity of 92.8%, F1 score of 96.2% and a Specificity of 100% which is significantly higher compared to other models considered in the study and also the existing conventional ML models, thereby providing a prerequisite for significant diagnostic implementation.
{"title":"Detection and classification of progressive supranuclear palsy from MRI images using deep learning","authors":"N. A. Sait, J. Kathirvelan","doi":"10.22201/icat.24486736e.2024.22.1.2228","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2024.22.1.2228","url":null,"abstract":"A timely and reliable computer aided MR image-based evaluations is required for the detection and classification of Progressive supranuclear palsy (PSP). It is a neurodegenerative ailment that is clinically very difficult to identify due to a high degree of overlap in characterized symptoms. Unlike other ailments, the primary constraint regarding PSP is the limited research work in this area. The main aim of our study is to establish a generalized model by comparing traditional custom CNN and transfer learning models such as DenseNet121, ResNet50, InceptionV3, VGG16, EfficientNetB0, Xception, MobileNet and InceptionResNetV2 which are fine tuned for the detection and classification of PSP with higher accuracy rates. Existing research has primarily focused on reducing the time complexity of neural networks and has only had success with low-level features. Furthermore, obtaining a significant volume of distributed labelled data is difficult. In our research, 125 T1 protocol based high resolution MRI images of 65 PSP and 60 normal control patients were considered. The image dataset is pre-processed, normalized and augmented before deploying them to the respective networks. The results propose that ‘InceptionResNetV2’ model can be considered as a generalised model for the detection and classification of PSP. The network offered a classification accuracy of 95%, Precision of 100%, Sensitivity of 92.8%, F1 score of 96.2% and a Specificity of 100% which is significantly higher compared to other models considered in the study and also the existing conventional ML models, thereby providing a prerequisite for significant diagnostic implementation.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":"2009 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416271","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 : 2024-02-29DOI: 10.22201/icat.24486736e.2024.22.1.2206
A. K. Gupta, V. K. Chouksey, A. Pandey
Due to its potential to improve production and weld quality, automated welding systems are growing in popularity in industrial applications. However, these technologies generate potentially dangerous by-products like welding gases and fumes. By evaluating the temperature range and smoke concentration near the welding area, this study intends to assess the health parameters of welding by-products in linear welding automation. A four-wheeled robot system equipped with joint detection and referencing technologies will be the research subject, which will also improve welding conditions to match industrial standards. Also, the study will look into how welding factors affect smoke concentration and temperature range. The findings of this study will shed light on the health risks posed by automated welding systems and guide the creation of safety regulations that will shield workers from hazardous consequences.
{"title":"Health assessment of welding by-products in a linear welding automation: Temperature and smoke concentration measurements","authors":"A. K. Gupta, V. K. Chouksey, A. Pandey","doi":"10.22201/icat.24486736e.2024.22.1.2206","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2024.22.1.2206","url":null,"abstract":"Due to its potential to improve production and weld quality, automated welding systems are growing in popularity in industrial applications. However, these technologies generate potentially dangerous by-products like welding gases and fumes. By evaluating the temperature range and smoke concentration near the welding area, this study intends to assess the health parameters of welding by-products in linear welding automation. A four-wheeled robot system equipped with joint detection and referencing technologies will be the research subject, which will also improve welding conditions to match industrial standards. Also, the study will look into how welding factors affect smoke concentration and temperature range. The findings of this study will shed light on the health risks posed by automated welding systems and guide the creation of safety regulations that will shield workers from hazardous consequences.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":"25 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140408992","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 : 2024-02-29DOI: 10.22201/icat.24486736e.2024.22.1.2103
I. Kallel Fourati, S. Kammoun
The rapid and extensive growth in medical imaging modalities and their applications is creating a pressing need for computers and computing in image processing, visualization, archival, and analysis. In this article, a Matlab-based graphical user interface (GUI) program is proposed for the monitoring and early detection of keratoconus. The findings show the efficiency of the proposed to detect the early stage of keratoconus. The proposed neural network model produces accuracy, ranging from 96% to 92%. It considers, respectively, 2 classes (normal cornea and keratoconus) and 3 classes (keratoconus, suspected keratoconus or normal) which will increase to 99% with respect to the 2 classes of keratoconus and 94% to the 3 classes when combining topography parameters with OCT image corneal pachymetry measurements and clinical judgments. The compatibility of the graphical interface components with common medical data and image analysis tools facilitates the involvement of the ophthalmologist in the digitization of the medical records, the image processing and the conception of multimodal artificial intelligence applications for medical imaging.
{"title":"matlab based graphical user interface for the monitoring and early detection of keratoconus","authors":"I. Kallel Fourati, S. Kammoun","doi":"10.22201/icat.24486736e.2024.22.1.2103","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2024.22.1.2103","url":null,"abstract":" The rapid and extensive growth in medical imaging modalities and their applications is creating a pressing need for computers and computing in image processing, visualization, archival, and analysis. In this article, a Matlab-based graphical user interface (GUI) program is proposed for the monitoring and early detection of keratoconus. The findings show the efficiency of the proposed to detect the early stage of keratoconus. The proposed neural network model produces accuracy, ranging from 96% to 92%. It considers, respectively, 2 classes (normal cornea and keratoconus) and 3 classes (keratoconus, suspected keratoconus or normal) which will increase to 99% with respect to the 2 classes of keratoconus and 94% to the 3 classes when combining topography parameters with OCT image corneal pachymetry measurements and clinical judgments. \u0000The compatibility of the graphical interface components with common medical data and image analysis tools facilitates the involvement of the ophthalmologist in the digitization of the medical records, the image processing and the conception of multimodal artificial intelligence applications for medical imaging.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":"14 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140409286","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 : 2023-06-30DOI: 10.22201/icat.24486736e.2023.21.3.1860
M. J. Flores Calero, José Carrillo, Patricio Espinel, Alexander Arcos, Ivone Arias-Almeida, Cristian F. Cabezas, Alexandra Corral
In December 2020 will be two years since the firstcase of COVID-19 was reported by the OMS. Many strategies andpolicies of isolation and social distancing have been put in placearound the world since this event to avoid contagion. At the sametime, many mobile applications started to develop to register andtrace people with suspected coronavirus in order to avoid the chainof COVID-19 infections. In this work we propose a systematicreview of mobile applications to registration and tracing of peoplewith suspected coronavirus. To develop this research, threecitation databases were used: Scopus, Web of Science and PudMed.Sixteen articles have been identified proposing the implementationof this type of applications, which were validated in differentcommunities and/or regions. The main results obtained was first-hand knowledge of the reality of how the COVID-19 diseaseexpands, evolves and is registered. On the one hand, theseapplications offer a solution that allows social contact with adultsand young people, on the other hand, they could guarantee quickand timely action for decision making. Those types of applicationscan be considered as a real-time population health surveillancesystem, with this approach would have the ability to convert datainto usable information to initiate appropriate and localized publichealth actions in a community and/or institution that are trying toavoid the chain of COVID-19 contagions.
2020年12月是OMS报告首例新冠肺炎病例的两年。自这一事件以来，世界各地都制定了许多隔离和保持社交距离的策略和政策，以避免传染。与此同时，为了避免新冠肺炎感染链，许多移动应用程序开始开发，用于登记和追踪疑似冠状病毒感染者。在这项工作中，我们建议对用于登记和追踪疑似冠状病毒患者的移动应用程序进行系统审查。为了开展这项研究，使用了三个引文数据库：Scopus、Web of Science和PudMed。已经确定了16篇文章，建议实施这类应用程序，并在不同的社区和/或地区进行了验证。获得的主要结果是对新冠肺炎疾病如何扩展、演变和登记的现实的第一手知识。一方面，这些应用程序提供了一种解决方案，可以与成年人和年轻人进行社交接触，另一方面，它们可以保证决策的快速及时。这些类型的应用程序可以被视为一个实时的人口健康监测系统，这种方法将能够将数据转换为可用信息，以便在试图消除新冠肺炎传染链的社区和/或机构中启动适当和本地化的公共卫生行动。
{"title":"Registration and follow-up of people with suspected COVID-19 by means of mobile applications: A mapping study","authors":"M. J. Flores Calero, José Carrillo, Patricio Espinel, Alexander Arcos, Ivone Arias-Almeida, Cristian F. Cabezas, Alexandra Corral","doi":"10.22201/icat.24486736e.2023.21.3.1860","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1860","url":null,"abstract":"In December 2020 will be two years since the firstcase of COVID-19 was reported by the OMS. Many strategies andpolicies of isolation and social distancing have been put in placearound the world since this event to avoid contagion. At the sametime, many mobile applications started to develop to register andtrace people with suspected coronavirus in order to avoid the chainof COVID-19 infections. In this work we propose a systematicreview of mobile applications to registration and tracing of peoplewith suspected coronavirus. To develop this research, threecitation databases were used: Scopus, Web of Science and PudMed.Sixteen articles have been identified proposing the implementationof this type of applications, which were validated in differentcommunities and/or regions. The main results obtained was first-hand knowledge of the reality of how the COVID-19 diseaseexpands, evolves and is registered. On the one hand, theseapplications offer a solution that allows social contact with adultsand young people, on the other hand, they could guarantee quickand timely action for decision making. Those types of applicationscan be considered as a real-time population health surveillancesystem, with this approach would have the ability to convert datainto usable information to initiate appropriate and localized publichealth actions in a community and/or institution that are trying toavoid the chain of COVID-19 contagions.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41651534","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 : 2023-06-29DOI: 10.22201/icat.24486736e.2023.21.3.1944
Gabriel Silva Atencio, M. Umaña-Ramírez
Through the descriptive analysis on the Open Data of the Costa Rican Judicial Power, alarming results are reflected in the number of complaints imposed in the Judicial Investigation Organism (OIJ), exceeding fifty thousand complaints in 2019. Based on those numbers, the objective for this research is to generate a data analysis model that allows to potentiate these statistics and to indicate in advance the regions with the most remarkable propensity to suffer crimes in the next five years, to promote the proactivity of both the citizen and the police to be alerted and to avoid upcoming crimes. Statistical prediction models are used to prove mathematical methods applicable to the data obtained and their behavior during 2015-2019. The analysis reflects the need to apply the simple linear regression algorithm to the developed solution available to all Costa Ricans on the Tableau Public website. The results show pessimistic predictions for the country, especially in the Greater Metropolitan Area (GAM); the behavior of crimes will significantly impact this area, which indicates the need to establish police strengthening programs improvements in education and employment to counter the potential crimes projected for the next five years
{"title":"Predictive models in pandemic times and their impact on the analysis of crime","authors":"Gabriel Silva Atencio, M. Umaña-Ramírez","doi":"10.22201/icat.24486736e.2023.21.3.1944","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1944","url":null,"abstract":"Through the descriptive analysis on the Open Data of the Costa Rican Judicial Power, alarming results are reflected in the number of complaints imposed in the Judicial Investigation Organism (OIJ), exceeding fifty thousand complaints in 2019. Based on those numbers, the objective for this research is to generate a data analysis model that allows to potentiate these statistics and to indicate in advance the regions with the most remarkable propensity to suffer crimes in the next five years, to promote the proactivity of both the citizen and the police to be alerted and to avoid upcoming crimes. Statistical prediction models are used to prove mathematical methods applicable to the data obtained and their behavior during 2015-2019. The analysis reflects the need to apply the simple linear regression algorithm to the developed solution available to all Costa Ricans on the Tableau Public website. The results show pessimistic predictions for the country, especially in the Greater Metropolitan Area (GAM); the behavior of crimes will significantly impact this area, which indicates the need to establish police strengthening programs improvements in education and employment to counter the potential crimes projected for the next five years","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44340572","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 : 2023-06-29DOI: 10.22201/icat.24486736e.2023.21.3.1818
F. Abdelkrim, M. Abdelkrim, A. Belloufi, Catalin Tampu, Chiriță Bogdan, B. Gheorghe
The increase in the cutting temperature during milling has harmful effects which negatively affect the technical and economic machining characteristics such as: residual stresses, dimensions of machined parts and tools life. The nature of milling operations and the tool geometry make it difficult to predict or measure the temperature during the machining process, which is why great attention has been paid to measurement and prediction methodologies of cutting temperature during milling. In this work, a new intelligent identification technique of the cutting temperature based on the fuzzy set theory has been proposed to replace the strategy based on the operator qualification. This technique uses a fuzzy multiple input inference system to determine the influence of the cutting parameters on the cutting temperature. The fuzzy modeling is based on an experimental database resulting from the non-contact measurement of cutting temperature using an infrared camera with an emissivity setting adapted to the material. The results of the fuzzy system show that the fuzzy model is able to specify results providing a very good correlation between the experimental data and those predicted. The average error of the model was approximately 2.242%. The parameters used for the validation of the model were different from the data used for the construction of the fuzzy rules. The results showed that the most important parameter on the cutting temperature is depth of cut. The results obtained in this paper show that the developed model can be applied to predict the cutting temperature with precision during the milling process.
{"title":"Multi-input fuzzy inference system based model to predict the cutting temperature when milling AISI 1060 steel","authors":"F. Abdelkrim, M. Abdelkrim, A. Belloufi, Catalin Tampu, Chiriță Bogdan, B. Gheorghe","doi":"10.22201/icat.24486736e.2023.21.3.1818","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1818","url":null,"abstract":"The increase in the cutting temperature during milling has harmful effects which negatively affect the technical and economic machining characteristics such as: residual stresses, dimensions of machined parts and tools life. The nature of milling operations and the tool geometry make it difficult to predict or measure the temperature during the machining process, which is why great attention has been paid to measurement and prediction methodologies of cutting temperature during milling. In this work, a new intelligent identification technique of the cutting temperature based on the fuzzy set theory has been proposed to replace the strategy based on the operator qualification. This technique uses a fuzzy multiple input inference system to determine the influence of the cutting parameters on the cutting temperature. The fuzzy modeling is based on an experimental database resulting from the non-contact measurement of cutting temperature using an infrared camera with an emissivity setting adapted to the material. The results of the fuzzy system show that the fuzzy model is able to specify results providing a very good correlation between the experimental data and those predicted. The average error of the model was approximately 2.242%. The parameters used for the validation of the model were different from the data used for the construction of the fuzzy rules. The results showed that the most important parameter on the cutting temperature is depth of cut. The results obtained in this paper show that the developed model can be applied to predict the cutting temperature with precision during the milling process.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45430194","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 : 2023-06-27DOI: 10.22201/icat.24486736e.2023.21.3.1870
Nicolás Rojas Arias, Cesar René Blanco-Zuñiga, Carol Natalia Orjuela-Fajardo
The steel mill slag (SMS) production in converter furnaces is one of the main by-products generated during steel production. This waste material is usually composed of different metal oxides that include basic cations such Ca, Mn, and Mg. These cations can favor alkalinity and a heavy metals removal when they are partially dissolved in a contaminant solution such as acid mine drainage (AMD). This work aims to study the potential use of SMS produced in converter furnaces in the mining-steel region of Boyacá- Colombia as an alternative to pre-treat AMD produced by coal mining in the zone. The SMS were separated into two particle sizes by screening, and these were put in contact with AMD samples in a rotational mixing system for 36h. The pH, total Fe (Fe2+, 3+), SO42-, and heavy metals concentration were analyzed at 0h, 12h, 24h, and 36h time intervals. The final results show that SMS produced in the region is an optimal low-cost alternative to treat AMD, allowing complete heavy metals removal in the firsts 12h of treatment. Furthermore, Fe and SO42- removal were observed, reaching 99.9% and 85%, respectively, at 36h. The application of rotational mixing allows complete mixing between AMD and SMS, reducing the possible precipitates adhesion on the surface, limiting the reactivity losses. This mixing treatment device favors a continuous use, avoiding the application of cleaning stages that could be required in the future for optimal functioning.
{"title":"Heavy metals and sulfate removal from acid mine drainage using steel mill slag in a rotational mixing device","authors":"Nicolás Rojas Arias, Cesar René Blanco-Zuñiga, Carol Natalia Orjuela-Fajardo","doi":"10.22201/icat.24486736e.2023.21.3.1870","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1870","url":null,"abstract":"The steel mill slag (SMS) production in converter furnaces is one of the main by-products generated during steel production. This waste material is usually composed of different metal oxides that include basic cations such Ca, Mn, and Mg. These cations can favor alkalinity and a heavy metals removal when they are partially dissolved in a contaminant solution such as acid mine drainage (AMD). This work aims to study the potential use of SMS produced in converter furnaces in the mining-steel region of Boyacá- Colombia as an alternative to pre-treat AMD produced by coal mining in the zone. The SMS were separated into two particle sizes by screening, and these were put in contact with AMD samples in a rotational mixing system for 36h. The pH, total Fe (Fe2+, 3+), SO42-, and heavy metals concentration were analyzed at 0h, 12h, 24h, and 36h time intervals. The final results show that SMS produced in the region is an optimal low-cost alternative to treat AMD, allowing complete heavy metals removal in the firsts 12h of treatment. Furthermore, Fe and SO42- removal were observed, reaching 99.9% and 85%, respectively, at 36h. The application of rotational mixing allows complete mixing between AMD and SMS, reducing the possible precipitates adhesion on the surface, limiting the reactivity losses. This mixing treatment device favors a continuous use, avoiding the application of cleaning stages that could be required in the future for optimal functioning.","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49099913","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 : 2023-06-27DOI: 10.22201/icat.24486736e.2023.21.3.1749
R. Silva, Kleinner Silva Farias, Rafael Kunst
Context: Nowadays, the prediction of source code design problems plays an essential role in the software development industry, identifying defective architectural modules in advance. For this reason, some studies explored this subject in the last decade. Researchers and practitioners often need to create an overview of such studies considering the predictors of design problems, their main contributions, the used prediction techniques and research methods. Problem: However, the current literature remains scarce of studies proposing a detailed mapping of studies already published. Objective: This article, therefore, focuses on classifying the current literature and pinpointing trends and challenges worth investigating in this research field. Method: A systematic mapping of the literature was designed and performed based on well-established practical guidelines. In total, 35 primary studies were selected, analyzed, and categorized after applying a careful filtering process from a corpus of 894 candidate studies to answer six research questions. Results: The main results are that a majority of the primary studies (1) explore Bloater bad smells, (2) use code complexity and size as predictors, (3) apply machine learning techniques to generate predictions, and (4) present a prediction proposal without an extensive empirical assessment. Conclusions: Predicting design problems is still in its infancy, showing that there is plenty of room for future work. Finally, this study can serve as a starting point for the research community
{"title":"On the prediction of source code design problems: A systematic mapping study","authors":"R. Silva, Kleinner Silva Farias, Rafael Kunst","doi":"10.22201/icat.24486736e.2023.21.3.1749","DOIUrl":"https://doi.org/10.22201/icat.24486736e.2023.21.3.1749","url":null,"abstract":"Context: Nowadays, the prediction of source code design problems plays an essential role in the software development industry, identifying defective architectural modules in advance. For this reason, some studies explored this subject in the last decade. Researchers and practitioners often need to create an overview of such studies considering the predictors of design problems, their main contributions, the used prediction techniques and research methods. Problem: However, the current literature remains scarce of studies proposing a detailed mapping of studies already published. Objective: This article, therefore, focuses on classifying the current literature and pinpointing trends and challenges worth investigating in this research field. Method: A systematic mapping of the literature was designed and performed based on well-established practical guidelines. In total, 35 primary studies were selected, analyzed, and categorized after applying a careful filtering process from a corpus of 894 candidate studies to answer six research questions. Results: The main results are that a majority of the primary studies (1) explore Bloater bad smells, (2) use code complexity and size as predictors, (3) apply machine learning techniques to generate predictions, and (4) present a prediction proposal without an extensive empirical assessment. Conclusions: Predicting design problems is still in its infancy, showing that there is plenty of room for future work. Finally, this study can serve as a starting point for the research community","PeriodicalId":15073,"journal":{"name":"Journal of Applied Research and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49065284","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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