Applied Sciences最新文献_第2页

BSTCA-HAR: Human Activity Recognition Model Based on Wearable Mobile Sensors BSTCA-HAR：基于可穿戴移动传感器的人类活动识别模型

Applied Sciences Pub Date : 2024-08-09 DOI: 10.3390/app14166981

Yan Yuan, Lidong Huang, Xuewen Tan, Fanchang Yang, Shiwei Yang

引用次数: 0

Product Demand Prediction with Spatial Graph Neural Networks 利用空间图神经网络预测产品需求

Applied Sciences Pub Date : 2024-08-09 DOI: 10.3390/app14166989

Jiale Li, Li Fan, Xuran Wang, Tiejiang Sun, Mengjie Zhou

{"title":"Product Demand Prediction with Spatial Graph Neural Networks","authors":"Jiale Li, Li Fan, Xuran Wang, Tiejiang Sun, Mengjie Zhou","doi":"10.3390/app14166989","DOIUrl":"https://doi.org/10.3390/app14166989","url":null,"abstract":"In the rapidly evolving online marketplace, accurately predicting the demand for pre-owned items presents a significant challenge for sellers, impacting pricing strategies, product presentation, and marketing investments. Traditional demand prediction methods, while foundational, often fall short in addressing the dynamic and heterogeneous nature of e-commerce data, which encompasses textual descriptions, visual elements, geographic contexts, and temporal dynamics. This paper introduces a novel approach utilizing the Graph Neural Network (GNN) to enhance demand prediction accuracy by leveraging the spatial relationships inherent in online sales data, named SGNN. Drawing from the rich dataset provided in the fourth Kaggle competition, we construct a spatially aware graph representation of the marketplace, integrating advanced attention mechanisms to refine predictive accuracy. Our methodology defines the product demand prediction problem as a regression task on an attributed graph, capturing both local and global spatial dependencies that are fundamental to accurate predicting. Through attention-aware message propagation and node-level demand prediction, our model effectively addresses the multifaceted challenges of e-commerce demand prediction, demonstrating superior performance over traditional statistical methods, machine learning techniques, and even deep learning models. The experimental findings validate the effectiveness of our GNN-based approach, offering actionable insights for sellers navigating the complexities of the online marketplace. This research not only contributes to the academic discourse on e-commerce demand prediction but also provides a scalable and adaptable framework for future applications, paving the way for more informed and effective online sales strategies.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"35 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924542","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

Parametric Analysis of Compliant End Face Gas Film Seals Considering Slip Flow Effects 考虑滑流效应的顺应式端面气膜密封件参数分析

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166953

Haitao Jiang, Shurong Yu, Xuexing Ding

{"title":"Parametric Analysis of Compliant End Face Gas Film Seals Considering Slip Flow Effects","authors":"Haitao Jiang, Shurong Yu, Xuexing Ding","doi":"10.3390/app14166953","DOIUrl":"https://doi.org/10.3390/app14166953","url":null,"abstract":"Aiming at the compliant end face gas film seal structure, based on the linearized Boltzmann equation, the Poiseuille flow coefficient is introduced, and the generalized Reynolds equation and the sealing performance parameter solution formula considering the boundary slip flow effect are established. Through Newton–Raphson iterative calculation, the degree of influence of the slip flow effect under different working conditions is analyzed, and the internal relationship between structural parameters and sealing performance is compared. The results show that the slip flow effect can have a large impact on the pressure distribution in the fluid field close to the low-pressure side. Due to the existence of the step phenomenon of boundary velocity, it is not conducive to increasing the gas film opening force and controlling the mass leakage rate, but it can play a positive role in reducing the viscous friction power consumption. In the case of a smaller sealing gas film thickness and lower medium pressure, the slip flow effect is significant, which will have a greater impact on the sealing performance, and at this time, the slip flow effect can not be ignored. In addition, the change in seal structure parameters will also have a large impact on the sealing performance. With an increase in the wave foil thickness, the compliant end face evolves towards the rigid end face, the fluid wedge effect is weakened, and the gas film opening force and mass leakage rate are reduced. The stiffness-to-leakage ratio shows a strong nonlinear decreasing trend with an increase in the wave foil chord length and pitch, which eventually tends to a stable value. The results of this paper provide a theoretical basis for the matching design of the structural parameters of compliant end-face gas film seals under different service conditions.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"18 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927040","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

Correction: Gao et al. A Thermal Error Prediction Method of High-Speed Motorized Spindle Based on Pelican Optimization Algorithm and CNN-LSTM. Appl. Sci. 2024, 14, 381 改正：基于鹈鹕优化算法和 CNN-LSTM 的高速电主轴热误差预测方法.应用科学，2024，14，381

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166942

Ying Gao, Xiaojun Xia, Yinrui Guo

引用次数: 0

From Customer’s Voice to Decision-Maker Insights: Textual Analysis Framework for Arabic Reviews of Saudi Arabia’s Super App 从客户声音到决策者洞察：沙特阿拉伯超级应用程序阿拉伯语评论的文本分析框架

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166952

Bodoor Alrayani, Manal Kalkatawi, M. Abulkhair, Felwa A. Abukhodair

{"title":"From Customer’s Voice to Decision-Maker Insights: Textual Analysis Framework for Arabic Reviews of Saudi Arabia’s Super App","authors":"Bodoor Alrayani, Manal Kalkatawi, M. Abulkhair, Felwa A. Abukhodair","doi":"10.3390/app14166952","DOIUrl":"https://doi.org/10.3390/app14166952","url":null,"abstract":"Recently, business sectors have focused on offering a wide variety of services through utilizing different modern technologies such as super apps in order to fulfill customers’ needs and create a satisfactory user experience. Accordingly, studying the user experience has become one of the most popular trends in the research field due to its essential role in business prosperity and continuity. Thus, many researchers have dedicated their efforts to exploring and analyzing the user experience across social media, blogs, and websites, employing a variety of research methods such as machine learning to mine users’ reviews. However, there are limited studies concentrated on analyzing super app users’ experiences and specifically mining Arabic users’ reviews. Therefore, this paper aims to analyze and discover the most important topics that affect the user experience in the super app environment by mining Arabic business sector users’ reviews in Saudi Arabia using biterm topic modeling, CAMeL sentiment analyzer, and doc2vec with k-means clustering. We explore users’ feelings regarding the extracted topics in order to identify the weak aspects to improve and the strong aspects to enhance, which will promote a satisfactory user experience. Hence, this paper proposes an Arabic text annotation framework to help the business sector in Saudi Arabia to determine the important topics with negative and positive impacts on users’ experience. The proposed framework uses two approaches: topic modeling with sentiment analysis and topic modeling with clustering. As a result, the proposed framework reveals four important topics: delivery and payment, customer service and updates, prices, and application. The retrieved topics are thoroughly studied, and the findings show that, in most topics, negative comments outweigh positive comments. These results are provided with general analysis and recommendations to help the business sector to improve its level of services.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926072","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

Evaluation of Selected Artificial Aging Protocols for Dental Composites Including Fatigue and Fracture Tests 评估牙科复合材料的特定人工老化协议，包括疲劳和断裂测试

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166964

A. Szczesio-Włodarczyk, M. Fronczek, K. Ranoszek-Soliwoda, Jerzy Sokołowski, K. Bociong

{"title":"Evaluation of Selected Artificial Aging Protocols for Dental Composites Including Fatigue and Fracture Tests","authors":"A. Szczesio-Włodarczyk, M. Fronczek, K. Ranoszek-Soliwoda, Jerzy Sokołowski, K. Bociong","doi":"10.3390/app14166964","DOIUrl":"https://doi.org/10.3390/app14166964","url":null,"abstract":"The durability and performance of dental composites are essential for ensuring long-lasting dental restorations. However, there is a lack of a standardized procedure for evaluating the lifespan of dental materials. Our proposal assumed that dental materials should be tested under aggressive aging conditions to accelerate materials’ degradation in vitro and such an approach should simulate prolonged material usage in the oral cavity. A comprehensive examination of the impacts of three aging methodologies on various mechanical properties, including the flexural strength (FS), diametral tensile strength (DTS), hardness (HV), fracture toughness (FT), flexural fatigue limit (FFL), and microstructure of selected dental materials (Resin F, Flow-Art and Arkon), was conducted. The findings revealed that preformed aging results in an average reduction of 30% in the mechanical strength properties of the dental composites when compared to the control. Notably, a strong correlation was identified between FS and FFL post-aging whereas no such relationship was observed between these parameters and FT. This paper highlights the significance of aging tests for new dental composites and recommends a focus on flexural strength and fracture toughness to optimize costs and time efficiency. Furthermore, the establishment of a standardized test for fracture toughness in dental composites is recommended. It is proposed that a minimum flexural strength of more than 32–48 MPa after aging should be maintained. A more extensive analysis of commercially available materials is suggested to refine the proper evaluation methods for composite materials.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"30 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141926963","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 Multi-Format, Multi-Wavelength Erbium-Doped Fiber Ring Laser Using a Tunable Delay Line Interferometer 使用可调谐延迟线干涉仪的多格式、多波长掺铒光纤环形激光器

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166933

C. Yao, A. Dehnaw, Peng Peng

引用次数: 0

Measurement of Water Drop Sizes Generated by a Dripping Rainfall Simulator with Drippers in the Form of Hypodermic Needles 测量带有皮下注射针形式滴水器的滴水降雨模拟器产生的水滴大小

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166969

Vukašin Rončević, Nikola Živanović, John H. van Boxel, T. Iserloh, Nevena Antić, C. Ferreira, Marko Spasić

{"title":"Measurement of Water Drop Sizes Generated by a Dripping Rainfall Simulator with Drippers in the Form of Hypodermic Needles","authors":"Vukašin Rončević, Nikola Živanović, John H. van Boxel, T. Iserloh, Nevena Antić, C. Ferreira, Marko Spasić","doi":"10.3390/app14166969","DOIUrl":"https://doi.org/10.3390/app14166969","url":null,"abstract":"Dripping rainfall simulators (DRS) for soil research generate water drops with different types of drippers, but metal tubes are most commonly used, often in the form of hypodermic needles. However, scientific papers using dripping rainfall simulators are often incomplete in terms of data on hypodermic needle characteristics, as well as data on drops produced by hypodermic needles under different water pressures. This study determines which drop sizes and dripping speeds are generated by various hypodermic needles at different water pressures. For the purpose of this study, a dripping rainfall simulator was designed and constructed for laboratory use. Water drops were generated with 11 different needles, ranging in size from 16 G to 32 G (tube gauge number), at different water pressures. Measured water drop sizes ranged from 1.42 to 3.69 mm at a dripping speed between 10 and 360 drops per minute and water head from 14 to over 1970 mm. Measured drop sizes, supplemented with data from previous studies, provided information on the relation between drop sizes and the size of the hypodermic needles. Van Boxel’s numerical model provided estimations of the fall velocity for different drop diameters and their kinetic energy for falling heights up to 11.5 m. The results of this research can be used to design dripping rainfall simulators for soil research.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927263","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

FN-GNN: A Novel Graph Embedding Approach for Enhancing Graph Neural Networks in Network Intrusion Detection Systems FN-GNN：在网络入侵检测系统中增强图神经网络的新型图嵌入方法

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166932

Dinh-Hau Tran, Minho Park

{"title":"FN-GNN: A Novel Graph Embedding Approach for Enhancing Graph Neural Networks in Network Intrusion Detection Systems","authors":"Dinh-Hau Tran, Minho Park","doi":"10.3390/app14166932","DOIUrl":"https://doi.org/10.3390/app14166932","url":null,"abstract":"With the proliferation of the Internet, network complexities for both commercial and state organizations have significantly increased, leading to more sophisticated and harder-to-detect network attacks. This evolution poses substantial challenges for intrusion detection systems, threatening the cybersecurity of organizations and national infrastructure alike. Although numerous deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and graph neural networks (GNNs) have been applied to detect various network attacks, they face limitations due to the lack of standardized input data, affecting model accuracy and performance. This paper proposes a novel preprocessing method for flow data from network intrusion detection systems (NIDSs), enhancing the efficacy of a graph neural network model in malicious flow detection. Our approach initializes graph nodes with data derived from flow features and constructs graph edges through the analysis of IP relationships within the system. Additionally, we propose a new graph model based on the combination of the graph neural network (GCN) model and SAGEConv, a variant of the GraphSAGE model. The proposed model leverages the strengths while addressing the limitations encountered by the previous models. Evaluations on two IDS datasets, CICIDS-2017 and UNSW-NB15, demonstrate that our model outperforms existing methods, offering a significant advancement in the detection of network threats. This work not only addresses a critical gap in the standardization of input data for deep learning models in cybersecurity but also proposes a scalable solution for improving the intrusion detection accuracy.","PeriodicalId":502388,"journal":{"name":"Applied Sciences","volume":"30 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925981","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

In Situ Monitoring and Analysis of the Development Characteristics of Separation in Internal Overburden 现场监测和分析内部覆盖层分离的发展特征

Applied Sciences Pub Date : 2024-08-08 DOI: 10.3390/app14166935

Jianlin Xie, Xiaozhen Wang, Wei Qiao

引用次数: 0