Journal of Applied Research and Technology最新文献_第2页

Energy harvesting system using broadband textile antennas 使用宽带纺织天线的能量收集系统

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI: 10.22201/icat.24486736e.2024.22.1.1979

J. Porras, A. Acosta, A. Corona, G. Puerto

引用次数: 0

effect of hybrid ratio on the flexural properties of Arenga Pinnata fiber/E-glass fiber/polyester hybrid composites 混合比对桄榔纤维/玻璃纤维/聚酯混合复合材料弯曲性能的影响

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI: 10.22201/icat.24486736e.2024.22.1.2176

S. Sudarisman, S. Hamdan, H. Sosiati, K. Krisdiyanto

引用次数: 0

Detection and classification of progressive supranuclear palsy from MRI images using deep learning 利用深度学习从磁共振成像中检测进行性核上性麻痹并对其进行分类

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI: 10.22201/icat.24486736e.2024.22.1.2228

N. A. Sait, J. Kathirvelan

{"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}

引用次数: 0

Health assessment of welding by-products in a linear welding automation: Temperature and smoke concentration measurements 线性焊接自动化系统中焊接副产品的健康评估：温度和烟雾浓度测量

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI: 10.22201/icat.24486736e.2024.22.1.2206

A. K. Gupta, V. K. Chouksey, A. Pandey

引用次数: 0

matlab based graphical user interface for the monitoring and early detection of keratoconus 基于 Matlab 的监控和早期检测角膜病的图形用户界面

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI: 10.22201/icat.24486736e.2024.22.1.2103

I. Kallel Fourati, S. Kammoun

{"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}

引用次数: 0

Registration and follow-up of people with suspected COVID-19 by means of mobile applications: A mapping study 利用移动应用程序对疑似COVID-19患者进行登记和随访:一项地图研究

Journal of Applied Research and Technology Pub Date : 2023-06-30 DOI: 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

{"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}

引用次数: 0

Predictive models in pandemic times and their impact on the analysis of crime 流行病时期的预测模型及其对犯罪分析的影响

Journal of Applied Research and Technology Pub Date : 2023-06-29 DOI: 10.22201/icat.24486736e.2023.21.3.1944

Gabriel Silva Atencio, M. Umaña-Ramírez

{"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}

引用次数: 0

Multi-input fuzzy inference system based model to predict the cutting temperature when milling AISI 1060 steel 基于多输入模糊推理系统的aisi1060钢铣削温度预测模型

Journal of Applied Research and Technology Pub Date : 2023-06-29 DOI: 10.22201/icat.24486736e.2023.21.3.1818

F. Abdelkrim, M. Abdelkrim, A. Belloufi, Catalin Tampu, Chiriță Bogdan, B. Gheorghe

{"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}

引用次数: 0

Heavy metals and sulfate removal from acid mine drainage using steel mill slag in a rotational mixing device 在旋转混合装置中用钢渣从酸性矿井排水中去除重金属和硫酸盐

Journal of Applied Research and Technology Pub Date : 2023-06-27 DOI: 10.22201/icat.24486736e.2023.21.3.1870

Nicolás Rojas Arias, Cesar René Blanco-Zuñiga, Carol Natalia Orjuela-Fajardo

{"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}

引用次数: 0

On the prediction of source code design problems: A systematic mapping study 关于源代码设计问题的预测：一个系统映射研究

Journal of Applied Research and Technology Pub Date : 2023-06-27 DOI: 10.22201/icat.24486736e.2023.21.3.1749

R. Silva, Kleinner Silva Farias, Rafael Kunst

{"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}

引用次数: 0