Technologies最新文献_第10页

Cross-Tier Interference Mitigation for RIS-Assisted Heterogeneous Networks ris辅助异构网络的跨层干扰缓解

Technologies Pub Date : 2023-06-09 DOI: 10.3390/technologies11030073

Abdel Nasser Soumana Hamadou, Ciira wa Maina, M. M. Soidridine

{"title":"Cross-Tier Interference Mitigation for RIS-Assisted Heterogeneous Networks","authors":"Abdel Nasser Soumana Hamadou, Ciira wa Maina, M. M. Soidridine","doi":"10.3390/technologies11030073","DOIUrl":"https://doi.org/10.3390/technologies11030073","url":null,"abstract":"With the development of the next generation of mobile networks, new research challenges have emerged, and new technologies have been proposed to address them. On the other hand, reconfigurable intelligent surface (RIS) technology is being investigated for partially controlling wireless channels. RIS is a promising technology for improving signal quality by controlling the scattering of electromagnetic waves in a nearly passive manner. Heterogeneous networks (HetNets) are another promising technology that is designed to meet the capacity requirements of the network. RIS technology can be used to improve system performance in the context of HetNets. This study investigates the applications of reconfigurable intelligent surfaces (RISs) in heterogeneous downlink networks (HetNets). Due to the network densification, the small cell base station (SBS) interferes with the macrocell users (MUEs). In this paper, we utilise RIS to mitigate cross-tier interference in a HetNet via directional beamforming by adjusting the phase shift of the RIS. We consider RIS-assisted heterogeneous networks consisting of multiple SBS nodes and MUEs that utilise both direct paths and reflected paths. Therefore, the aim of this study is to maximise the sum rate of all MUEs by jointly optimising the transmit beamforming of the macrocell base station (MBS) and the phase shift of the RIS. An efficient RIS reflecting coefficient-based optimisation (RCO) is proposed based on a successive convex approximation approach. Simulation results are provided to show the effectiveness of the proposed scheme in terms of its sum rate in comparison with the scheme HetNet without RIS and the scheme HetNet with RIS but with random phase shifts.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86777908","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

Jordan Canonical Form for Solving the Fault Diagnosis and Estimation Problems 解决故障诊断与估计问题的Jordan规范形式

Technologies Pub Date : 2023-06-03 DOI: 10.3390/technologies11030072

O. Sergiyenko, A. Zhirabok, Paolo Mercorelli, A. Zuev, V. Filaretov, Vera V. Tyrsa

引用次数: 0

Validation of Aerobic Capacity (VO2max) and Lactate Threshold in Wearable Technology for Athletic Populations 运动人群可穿戴技术中有氧能力(VO2max)和乳酸门槛的验证

Technologies Pub Date : 2023-05-26 DOI: 10.3390/technologies11030071

Bryson Carrier, Macy M. Helm, Kyle Cruz, Brenna Barrios, J. Navalta

{"title":"Validation of Aerobic Capacity (VO2max) and Lactate Threshold in Wearable Technology for Athletic Populations","authors":"Bryson Carrier, Macy M. Helm, Kyle Cruz, Brenna Barrios, J. Navalta","doi":"10.3390/technologies11030071","DOIUrl":"https://doi.org/10.3390/technologies11030071","url":null,"abstract":"As wearable technology (WT) has evolved, devices have developed the ability to track a range of physiological variables. These include maximal aerobic capacity (VO2max) and lactate threshold (LT). With WT quickly growing in popularity, independent evaluation of these devices is important to determine the appropriate use-cases for the devices. Therefore, the purpose of this study was to determine the validity of WT in producing estimates of VO2max and LT in athletic populations. METHODS: 21 participants completed laboratory LT and VO2max testing, as well as an outdoor testing session guided by the WT being tested (Garmin fēnix 6® watch and accompanying heart rate monitor). Statistical analysis was completed, using hypothesis testing (ANOVA, t-test), correlation analysis (Pearson’s r, Lin’s Concordance Correlation [CCC]), error analysis (mean absolute percentage error [MAPE]), equivalence testing (TOST test), and bias assessment (Bland–Altman analysis). RESULTS: The Garmin watch was found to have acceptable agreement for VO2max when compared to the 1 min averaged values (MAPE = 6.85%, CCC = 0.7) and for LT and the onset of blood lactate accumulation (OBLA), (MAPE = 7.52%, CCC = 0.79; MAPE = 8.20%, CCC = 0.74, respectively). Therefore, the Garmin fēnix 6® produces accurate measurements of VO2max and LT in athletic populations and can be used to make training decisions among athletes.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89982465","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

Utilization of Artificial Neural Networks for Precise Electrical Load Prediction 人工神经网络在电力负荷精确预测中的应用

Technologies Pub Date : 2023-05-26 DOI: 10.3390/technologies11030070

C. Pavlatos, E. Makris, G. Fotis, V. Vita, V. Mladenov

{"title":"Utilization of Artificial Neural Networks for Precise Electrical Load Prediction","authors":"C. Pavlatos, E. Makris, G. Fotis, V. Vita, V. Mladenov","doi":"10.3390/technologies11030070","DOIUrl":"https://doi.org/10.3390/technologies11030070","url":null,"abstract":"In the energy-planning sector, the precise prediction of electrical load is a critical matter for the functional operation of power systems and the efficient management of markets. Numerous forecasting platforms have been proposed in the literature to tackle this issue. This paper introduces an effective framework, coded in Python, that can forecast future electrical load based on hourly or daily load inputs. The framework utilizes a recurrent neural network model, consisting of two simpleRNN layers and a dense layer, and adopts the Adam optimizer and tanh loss function during the training process. Depending on the size of the input dataset, the proposed system can handle both short-term and medium-term load-forecasting categories. The network was extensively tested using multiple datasets, and the results were found to be highly promising. All variations of the network were able to capture the underlying patterns and achieved a small test error in terms of root mean square error and mean absolute error. Notably, the proposed framework outperformed more complex neural networks, with a root mean square error of 0.033, indicating a high degree of accuracy in predicting future load, due to its ability to capture data patterns and trends.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"183 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85079653","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: 10

Corrosion Resistance of Steel S355MC in Crude Glycerol S355MC钢在粗甘油中的耐腐蚀性

Technologies Pub Date : 2023-05-21 DOI: 10.3390/technologies11030069

M. Palcut, Ž. Gerhátová, Patrik Šulhánek, Peter Gogola

{"title":"Corrosion Resistance of Steel S355MC in Crude Glycerol","authors":"M. Palcut, Ž. Gerhátová, Patrik Šulhánek, Peter Gogola","doi":"10.3390/technologies11030069","DOIUrl":"https://doi.org/10.3390/technologies11030069","url":null,"abstract":"Corrosion is the degradation of materials in oxidizing environments. In aqueous solutions, it is initiated by the surface reaction of the metallic material with the surrounding electrolyte. The corrosion rate of metals can be significantly reduced by the presence of organic compounds. Crude glycerol is an organic by-product of biodiesel, soap, and fatty acid production. It is produced in substantial amounts through transesterification. Crude glycerol contains several impurities and has low economic value. Its disposal in the environment is unwanted and potential applications need to be explored. In the present short communication, steel corrosion in crude glycerol has been investigated for the first time. The corrosion behavior of low-alloy structural steel S355MC in non-purified crude glycerol was studied by electrochemical methods. The results were compared with the use of tap water. The open-circuit potential (OCP) of S355MC in crude glycerol was more negative compared with that of tap water. The OCP was stable over time, indicating the rapid passivation of the steel substrate. The corrosion resistance was further studied by electrode polarization. On the polarization curve of S355MC in crude glycerol, a wide passivation region was found. Furthermore, the corrosion rate was 2.2 times smaller compared with that of tap water. The surface exposed to tap water was significantly degraded by red rust. The surface of S355MC after exposure to crude glycerol, on the other hand, was less affected by corrosion and covered with a protective layer. The results demonstrate a significant corrosion-inhibiting activity of crude glycerol that could be utilized in various technologies.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83028073","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

Preprocessing Selection for Deep Learning Classification of Arrhythmia Using ECG Time-Frequency Representations 基于心电时频表征的心律失常深度学习分类预处理选择

Technologies Pub Date : 2023-05-11 DOI: 10.3390/technologies11030068

Rafael Holanda, R. Monteiro, C. Bastos-Filho

{"title":"Preprocessing Selection for Deep Learning Classification of Arrhythmia Using ECG Time-Frequency Representations","authors":"Rafael Holanda, R. Monteiro, C. Bastos-Filho","doi":"10.3390/technologies11030068","DOIUrl":"https://doi.org/10.3390/technologies11030068","url":null,"abstract":"The trend of using deep learning techniques to classify arbitrary tasks has grown significantly in the last decade. Such techniques in the background provide a stack of non-linear functions to solve tasks that cannot be solved in a linear manner. Naturally, deep learning models can always solve almost any problem with the right amount of functional parameters. However, with the right set of preprocessing techniques, these models might become much more accessible by negating the need for a large set of model parameters and the concomitant computational costs that accompany the need for many parameters. This paper studies the effects of such preprocessing techniques, and is focused, more specifically, on the resulting learning representations, so as to classify the arrhythmia task provided by the ECG MIT-BIH signal dataset. The types of noise we filter out from such signals are the Baseline Wander (BW) and the Powerline Interference (PLI). The learning representations we use as input to a Convolutional Neural Network (CNN) model are the spectrograms extracted by the Short-time Fourier Transform (STFT) and the scalograms extracted by the Continuous Wavelet Transform (CWT). These features are extracted using different parameter values, such as the window size of the Fourier Transform and the number of scales from the mother wavelet. We highlight that the noise with the most significant influence on a CNN’s classification performance is the BW noise. The most accurate classification performance was achieved using the 64 wavelet scales scalogram with the Mexican Hat and with only the BW noise suppressed. The deployed CNN has less than 90k parameters and achieved an average F1-Score of 90.11%.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86206712","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: 1

Identifying Growth Patterns in Arid-Zone Onion Crops (Allium Cepa) Using Digital Image Processing 利用数字图像处理识别干旱地区洋葱作物的生长模式

Technologies Pub Date : 2023-05-10 DOI: 10.3390/technologies11030067

D. Duarte-Correa, J. Rodríguez-Reséndíz, Germán Díaz-Flórez, C. Olvera-Olvera, J. M. Álvarez-Alvarado

引用次数: 0

A Deeper Look into Exercise Intensity Tracking through Mobile Applications: A Brief Report 通过移动应用程序更深入地研究运动强度跟踪:简要报告

Technologies Pub Date : 2023-05-01 DOI: 10.3390/technologies11030066

Alexie Elder, Gabrielle S. Guillen, Rebecca Isip, Ruben Zepeda, Zakkoyya H. Lewis

引用次数: 0

Digital Interaction with Physical Museum Artifacts 数字互动与实体博物馆文物

Technologies Pub Date : 2023-04-25 DOI: 10.3390/technologies11030065

Andreas Pattakos, Emmanouil Zidianakis, Michalis Sifakis, Michalis Roulios, Nikolaos Partarakis, C. Stephanidis

{"title":"Digital Interaction with Physical Museum Artifacts","authors":"Andreas Pattakos, Emmanouil Zidianakis, Michalis Sifakis, Michalis Roulios, Nikolaos Partarakis, C. Stephanidis","doi":"10.3390/technologies11030065","DOIUrl":"https://doi.org/10.3390/technologies11030065","url":null,"abstract":"In the digital information world, visualizing information in public spaces has been implemented in various formats and for application contexts such as advertisement, useful information provision, and provision of critical information in the cases of accidents, natural disasters, etc. Among the different types of information displays, in this research work, the focus is given to the ones that extend the experience of people visiting cultural heritage institutions. To this end, the design and implementation of an interactive display case that aims to overcome the “non-touch policy” of museums are presented. This novel display allows visitors to get engaged with artifacts and information through touch-based interaction with the ambition to extend the target audience and impact of museum content. The conducted study demonstrates that the interactive display case is an effective solution for providing relevant information to visitors, enhancing their engagement with exhibits, and improving their overall experience. The proposed solution is user-friendly, engaging, and informative, making it ideal for museums and other public exhibit spaces.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87425620","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: 1

Towards Safe Visual Navigation of a Wheelchair Using Landmark Detection 利用地标检测实现轮椅的安全视觉导航

Technologies Pub Date : 2023-04-25 DOI: 10.3390/technologies11030064

C. Sevastopoulos, Mohammad Zaki Zadeh, Michail Theofanidis, Sneh Acharya, Nishit Patel, F. Makedon

引用次数: 0