Technologies最新文献_第7页

Adapting the H.264 Standard to the Internet of Vehicles H.264标准在车联网中的应用

Technologies Pub Date : 2023-08-03 DOI: 10.3390/technologies11040103

Y. Wiseman

引用次数: 2

Modern DC–DC Power Converter Topologies and Hybrid Control Strategies for Maximum Power Output in Sustainable Nanogrids and Picogrids—A Comprehensive Survey 可持续纳米网格和皮网格中最大功率输出的现代DC-DC功率转换器拓扑和混合控制策略综述

Technologies Pub Date : 2023-08-01 DOI: 10.3390/technologies11040102

Anupama Ganguly, P. Biswas, Chiranjit Sain, T. Ustun

{"title":"Modern DC–DC Power Converter Topologies and Hybrid Control Strategies for Maximum Power Output in Sustainable Nanogrids and Picogrids—A Comprehensive Survey","authors":"Anupama Ganguly, P. Biswas, Chiranjit Sain, T. Ustun","doi":"10.3390/technologies11040102","DOIUrl":"https://doi.org/10.3390/technologies11040102","url":null,"abstract":"Sustainable energy exhibited immense growth in the last few years. As compared to other sustainable sources, solar power is proved to be the most feasible source due to some unanticipated characteristics, such as being clean, noiseless, ecofriendly, etc. The output from the solar power is entirely unpredictable since solar power generation is dependent on the intensity of solar irradiation and solar panel temperature. Further, these parameters are weather dependent and thus intermittent in nature. To conquer intermittency, power converters play an important role in solar power generation. Generally, photovoltaic systems will eventually suffer from a decrease in energy conversion efficiency along with improper stability and intermittent properties. As a result, the maximum power point tracking (MPPT) algorithm must be incorporated to cultivate maximum power from solar power. To make solar power generation reliable, a proper control technique must be added to the DC–DC power converter topologies. Furthermore, this study reviewed the progress of the maximum power point tracking algorithm and included an in-depth discussion on modern and both unidirectional and bidirectional DC–DC power converter topologies for harvesting electric power. Lastly, for the reliability and continuity of the power demand and to allow for distributed generation, this article also established the possibility of integrating solar PV systems into nanogrids and picogrids in a sustainable environment. The outcome of this comprehensive survey would be of strong interest to the researchers, technologists, and the industry in the relevant field to carry out future research.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83062492","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

Cleaning Big Data Streams: A Systematic Literature Review 清理大数据流:系统文献综述

Technologies Pub Date : 2023-07-26 DOI: 10.3390/technologies11040101

Obaid Alotaibi, E. Pardede, Sarath Tomy

引用次数: 0

Comparative Analysis of Image Classification Models for Norwegian Sign Language Recognition 挪威语手语识别图像分类模型的比较分析

Technologies Pub Date : 2023-07-15 DOI: 10.3390/technologies11040099

Benjamin Svendsen, Seifedine Kadry

{"title":"Comparative Analysis of Image Classification Models for Norwegian Sign Language Recognition","authors":"Benjamin Svendsen, Seifedine Kadry","doi":"10.3390/technologies11040099","DOIUrl":"https://doi.org/10.3390/technologies11040099","url":null,"abstract":"Communication is integral to every human’s life, allowing individuals to express themselves and understand each other. This process can be challenging for the hearing-impaired population, who rely on sign language for communication due to the limited number of individuals proficient in sign language. Image classification models can be used to create assistive systems to address this communication barrier. This paper conducts a comprehensive literature review and experiments to find the state of the art in sign language recognition. It identifies a lack of research in Norwegian Sign Language (NSL). To address this gap, we created a dataset from scratch containing 24,300 images of 27 NSL alphabet signs and performed a comparative analysis of various machine learning models, including the Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Convolutional Neural Network (CNN) on the dataset. The evaluation of these models was based on accuracy and computational efficiency. Based on these metrics, our findings indicate that SVM and CNN were the most effective models, achieving accuracies of 99.9% with high computational efficiency. Consequently, the research conducted in this report aims to contribute to the field of NSL recognition and serve as a foundation for future studies in this area.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86008340","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

Impact of Post-Process Heat Treatments Performed on Ti6Al4V Titanium Alloy Specimens Obtained Using LPBF Technology 对LPBF技术获得的Ti6Al4V钛合金试样进行后处理的影响

Technologies Pub Date : 2023-07-15 DOI: 10.3390/technologies11040100

S. Gaiani, Elisa Ferrari, Marica Gozzi, Maria Teresa Di Giovanni, M. Lassinantti Gualtieri, E. Colombini, P. Veronesi

{"title":"Impact of Post-Process Heat Treatments Performed on Ti6Al4V Titanium Alloy Specimens Obtained Using LPBF Technology","authors":"S. Gaiani, Elisa Ferrari, Marica Gozzi, Maria Teresa Di Giovanni, M. Lassinantti Gualtieri, E. Colombini, P. Veronesi","doi":"10.3390/technologies11040100","DOIUrl":"https://doi.org/10.3390/technologies11040100","url":null,"abstract":"Additive manufacturing technology has emerged over the past decade as one of the best solutions for building prototypes and components with complex geometries and reduced thicknesses. Its application has rapidly spread to various industries, such as motorsport, automotive, aerospace, and biomedical. In particular, titanium alloy Ti-6Al-4V, due to its exceptional mechanical properties, low density, and excellent corrosion resistance, turns out to be one of the most popular for the production of parts with additive manufacturing technology across all the market segments listed above. However, when producing components using Laser Powder Bed Fusion (LPBF) technology, it is always necessary to perform appropriate heat treatments whose main purpose is to reduce the residual stresses typically generated during the manufacturing process. Post-process heat treatments on Ti6Al4V components obtained by way of additive technology have been extensively studied in the literature, with the aim of identifying optimal thermal cycles, which may allow for the effective reduction of residual stresses combined with proper microstructural conditions. However, despite the usual target of maximizing relevant mechanical properties, it is mandatory for industrial production to achieve a robust process, i.e., minimizing the sensitivity to noise-induced variation. Therefore, the aim of the present work is to compare several post-process heat treatment strategies by performing different thermal cycles in the temperature range of 750–955 °C and investigating how these affect the average mechanical properties and their variance. The treated samples are then analyzed running a complete mechanical and microstructural characterization, and the latter particularly focused on the determination of the typical microstructure present in the treated samples by using the XRD technique.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81024438","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

Quantum Effects in General Relativity: Investigating Repulsive Gravity of Black Holes at Large Distances 广义相对论中的量子效应:研究远距离黑洞的排斥性引力

Technologies Pub Date : 2023-07-14 DOI: 10.3390/technologies11040098

P. Chiarelli

引用次数: 0

Segmentation of Retinal Blood Vessels Using Focal Attention Convolution Blocks in a UNET 在UNET中使用焦点注意卷积块分割视网膜血管

Technologies Pub Date : 2023-07-13 DOI: 10.3390/technologies11040097

Rafael Ortiz-Feregrino, S. Tovar-Arriaga, J. Pedraza-Ortega, J. Rodríguez-Reséndíz

{"title":"Segmentation of Retinal Blood Vessels Using Focal Attention Convolution Blocks in a UNET","authors":"Rafael Ortiz-Feregrino, S. Tovar-Arriaga, J. Pedraza-Ortega, J. Rodríguez-Reséndíz","doi":"10.3390/technologies11040097","DOIUrl":"https://doi.org/10.3390/technologies11040097","url":null,"abstract":"Retinal vein segmentation is a crucial task that helps in the early detection of health problems, making it an essential area of research. With recent advancements in artificial intelligence, we can now develop highly reliable and efficient models for this task. CNN has been the traditional choice for image analysis tasks. However, the emergence of visual transformers with their unique attention mechanism has proved to be a game-changer. However, visual transformers require a large amount of data and computational power, making them unsuitable for tasks with limited data and resources. To deal with this constraint, we adapted the attention module of visual transformers and integrated it into a CNN-based UNET network, achieving superior performance compared to other models. The model achieved a 0.89 recall, 0.98 AUC, 0.97 accuracy, and 0.97 sensitivity on various datasets, including HRF, Drive, LES-AV, CHASE-DB1, Aria-A, Aria-D, Aria-C, IOSTAR, STARE and DRGAHIS. Moreover, the model can recognize blood vessels accurately, regardless of camera type or the original image resolution, ensuring that it generalizes well. This breakthrough in retinal vein segmentation could improve the early diagnosis of several health conditions.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90483234","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

Field Performance Monitoring of Energy-Generating High-Transparency Agrivoltaic Glass Windows 发电高透明农业光伏玻璃窗的现场性能监测

Technologies Pub Date : 2023-07-12 DOI: 10.3390/technologies11040095

M. Vasiliev, Victor Rosenberg, Jamie Lyford, D. Goodfield

{"title":"Field Performance Monitoring of Energy-Generating High-Transparency Agrivoltaic Glass Windows","authors":"M. Vasiliev, Victor Rosenberg, Jamie Lyford, D. Goodfield","doi":"10.3390/technologies11040095","DOIUrl":"https://doi.org/10.3390/technologies11040095","url":null,"abstract":"Currently, there are strong and sustained growth trends observed in multi-disciplinary industrial technologies such as building-integrated photovoltaics and agrivoltaics, where renewable energy production is featured in building envelopes of varying degrees of transparency. Novel glass products can provide a combination of thermal energy savings and solar energy harvesting, enabled by either patterned-semiconductor thin-film energy converters on glass substrates, or by using luminescent concentrator-type approaches to achieve high transparency. Significant progress has been demonstrated recently in building integrated solar windows featuring visible light transmission of up to 70%, with electric power outputs of up to Pmax ~ 30–33 Wp/m2. Several slightly different designs were tested during 2021–2023 in a greenhouse installation at Murdoch University in Perth, Western Australia; their long-term energy harvesting performance differences were found to be on the scale of ~10% in wall-mounted locations. Solar greenhouse generated electricity at rates of up to 19 kWh/day, offsetting nearly 40% of energy costs. The objective of this paper is to report on the field performance of these PV windows in the context of agrivoltaics and to provide some detail of the performance differences measured in several solar window designs related to their glazing structure materials. Methods for the identification and quantification of long-term field performance differences and energy generation trends in solar windows of marginally different design types are reported. The paper also aims to outline the practical application potential of these transparent construction materials in built environments, focusing on the measured renewable energy figures and seasonal trends observed during the long-term study.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87807011","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

A Deep Reinforcement Learning Method for Economic Power Dispatch of Microgrid in OPAL-RT Environment OPAL-RT环境下微电网经济调度的深度强化学习方法

Technologies Pub Date : 2023-07-12 DOI: 10.3390/technologies11040096

F. Lin, Chao-Fu Chang, Yu-Cheng Huang, Tzu-Ming Su

{"title":"A Deep Reinforcement Learning Method for Economic Power Dispatch of Microgrid in OPAL-RT Environment","authors":"F. Lin, Chao-Fu Chang, Yu-Cheng Huang, Tzu-Ming Su","doi":"10.3390/technologies11040096","DOIUrl":"https://doi.org/10.3390/technologies11040096","url":null,"abstract":"This paper focuses on the economic power dispatch (EPD) operation of a microgrid in an OPAL-RT environment. First, a long short-term memory (LSTM) network is proposed to forecast the load information of a microgrid to determine the output of a power generator and the charging/discharging control strategy of a battery energy storage system (BESS). Then, a deep reinforcement learning method, the deep deterministic policy gradient (DDPG), is utilized to develop the power dispatch of a microgrid to minimize the total energy expense while considering power constraints, load uncertainties and electricity price. Moreover, a microgrid built in Cimei Island of Penghu Archipelago, Taiwan, is investigated to examine the compliance with the requirements of equality and inequality constraints and the performance of the deep reinforcement learning method. Furthermore, a comparison of the proposed method with the experience-based energy management system (EMS), Newton particle swarm optimization (Newton-PSO) and the deep Q-learning network (DQN) is provided to evaluate the obtained solutions. In this study, the average deviation of the LSTM forecast accuracy is less than 5%. In addition, the daily operating cost of the proposed method obtains a 3.8% to 7.4% lower electricity cost compared to that of the other methods. Finally, a detailed emulation in the OPAL-RT environment is carried out to validate the effectiveness of the proposed method.","PeriodicalId":22341,"journal":{"name":"Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85652117","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

Optical Properties of AgInS2 Quantum Dots Synthesized in a 3D-Printed Microfluidic Chip 3d打印微流控芯片合成AgInS2量子点的光学特性

Technologies Pub Date : 2023-07-12 DOI: 10.3390/technologies11040093

Konstantin Baranov, I. Reznik, S. Karamysheva, J. Swart, S. Moshkalev, A. Orlova

引用次数: 1