Applied Sciences最新文献_第9页

Hybrid Artificial Protozoa-Based JADE for Attack Detection 基于混合人工原生动物的攻击检测 JADE

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188280

Ahmad k. Al Hwaitat, Hussam N. Fakhouri

{"title":"Hybrid Artificial Protozoa-Based JADE for Attack Detection","authors":"Ahmad k. Al Hwaitat, Hussam N. Fakhouri","doi":"10.3390/app14188280","DOIUrl":"https://doi.org/10.3390/app14188280","url":null,"abstract":"This paper presents a novel hybrid optimization algorithm that combines JADE Adaptive Differential Evolution with Artificial Protozoa Optimizer (APO) to solve complex optimization problems and detect attacks. The proposed Hybrid APO-JADE Algorithm leverages JADE’s adaptive exploration capabilities and APO’s intensive exploitation strategies, ensuring a robust search process that balances global and local optimization. Initially, the algorithm employs JADE’s mutation and crossover operations, guided by adaptive control parameters, to explore the search space and prevent premature convergence. As the optimization progresses, a dynamic transition to the APO mechanism is implemented, where Levy flights and adaptive change factors are utilized to refine the best solutions identified during the exploration phase. This integration of exploration and exploitation phases enhances the algorithm’s ability to converge to high-quality solutions efficiently. The performance of the APO-JADE was verified via experimental simulations and compared with state-of-the-art algorithms using the 2022 IEEE Congress on Evolutionary Computation benchmark (CEC) 2022 and 2021. Results indicate that APO-JADE achieved outperforming results compared with the other algorithms. Considering practicality, the proposed APO-JADE was used to solve a real-world application in attack detection and tested on DS2OS, UNSW-NB15, and ToNIoT datasets, demonstrating its robust performance.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181132","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

Enhancing E-Government Services through State-of-the-Art, Modular, and Reproducible Architecture over Large Language Models 通过先进的、模块化和可复制的大型语言模型架构增强电子政务服务

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188259

George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

{"title":"Enhancing E-Government Services through State-of-the-Art, Modular, and Reproducible Architecture over Large Language Models","authors":"George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis","doi":"10.3390/app14188259","DOIUrl":"https://doi.org/10.3390/app14188259","url":null,"abstract":"Integrating Large Language Models (LLMs) into e-government applications has the potential to improve public service delivery through advanced data processing and automation. This paper explores critical aspects of a modular and reproducible architecture based on Retrieval-Augmented Generation (RAG) for deploying LLM-based assistants within e-government systems. By examining current practices and challenges, we propose a framework ensuring that Artificial Intelligence (AI) systems are modular and reproducible, essential for maintaining scalability, transparency, and ethical standards. Our approach utilizing Haystack demonstrates a complete multi-agent Generative AI (GAI) virtual assistant that facilitates scalability and reproducibility by allowing individual components to be independently scaled. This research focuses on a comprehensive review of the existing literature and presents case study examples to demonstrate how such an architecture can enhance public service operations. This framework provides a valuable case study for researchers, policymakers, and practitioners interested in exploring the integration of advanced computational linguistics and LLMs into e-government services, although it could benefit from further empirical validation.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181098","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

Study on the Effects of Influence Factors on the Stress and Deformation Characteristics of Ultra-High CFRDs 影响因素对超高 CFRD 的应力和变形特性的影响研究

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188268

Hongmei Li, Jianxin Wang, Yanyuan Lv, Chengming Feng

{"title":"Study on the Effects of Influence Factors on the Stress and Deformation Characteristics of Ultra-High CFRDs","authors":"Hongmei Li, Jianxin Wang, Yanyuan Lv, Chengming Feng","doi":"10.3390/app14188268","DOIUrl":"https://doi.org/10.3390/app14188268","url":null,"abstract":"A sensitivity analysis was conducted to evaluate several factors, including dam height, bank slope gradient, water storage times, and phased panel filling, on concrete-faced rockfill dams (CFRDs). The analysis identified the three most significant factors to examine their impacts on the stress-deformation characteristics of CFRDs. The results show that the order of influence on the dam body’s stress and deformation characteristics is as follows: dam height > bank slope gradient > water storage times > panel phased construction. From the perspective of stress-deformation of the face slab, water storage times predominantly affect tensile stress, while the bank slope gradient exerts the greatest influence on compressive stress. As the bank slope gradient decreases, the panel’s lateral restraint diminishes, leading to a decrease in the panel’s extrusion efficacy. Consequently, there are notable variations in the panel’s compressive stresses. An increase in dam height correlates with escalating stress and deformation in both the dam and face slab. As the bank slope gradient decreases, the deformation of the dam and face slab, as well as the range of tensile stress of the face slab, also increase. In contrast to a single water storage scenario, the face slab has experienced greater stress and deformation during the initial impoundment under multiple impoundment conditions. Therefore, multiple water storage schemes result in reduced deflection, axial horizontal displacement, and tensile stresses both along the slope and axial in the face slab. Furthermore, the tensile area at the bottom of the face slab transitions into a compressive area.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181109","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

Examining the Relationship between Psychological and Functional Status after a Sports Musculoskeletal Injury 研究运动性肌肉骨骼损伤后心理和功能状态之间的关系

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188258

Konstantinos Parlakidis, Dimitrios Krokos, Maria-Louiza Sagredaki, Lazaros Alexandros Kontopoulos, Anna Christakou

{"title":"Examining the Relationship between Psychological and Functional Status after a Sports Musculoskeletal Injury","authors":"Konstantinos Parlakidis, Dimitrios Krokos, Maria-Louiza Sagredaki, Lazaros Alexandros Kontopoulos, Anna Christakou","doi":"10.3390/app14188258","DOIUrl":"https://doi.org/10.3390/app14188258","url":null,"abstract":"The purpose of the present study was to investigate the relationship between re-injury worry, confidence, and attention and athletes’ functional status upon returning to sport after an injury. The sample consisted of 28 amateur-level male football players, aged 18 to 35 years, with a previous lower-limb injury. The athletes followed a physiotherapy rehabilitation program and completed three valid questionnaires examining re-injury worry, sport confidence, and attention returning to sport. The sample also performed three functional tests: (a) single-leg hop for distance, (b) side hop, and (c) the vertical jump. The results showed high correlations between the psychological factors between the functional tests. Physiotherapy duration was positively highly correlated with the time of absence from sport and severity of injury. The severity of the injury was also positively highly correlated with the time of absence from sport. The factors “Functional Attention” and “Distraction Attention” showed a positive and negative correlation with the single-leg hop for distance and the vertical jump, respectively. Athletes with a grade II severity injury showed greater attention compared to grade III severity injury. The increased level of re-injury worry was positively related to “Distraction Attention” and negatively related to the functional ability of the injured limb. The psychological readiness was partially related to the athletes’ functional status. The present study reports the importance of psychological readiness and its relationship with athletes’ functional status of returning to sport following a musculoskeletal sport injury.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181097","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

Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy 基于子空间和序列策略的高速永磁电机多物理场优化

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188267

Honglin Yan, Guanghui Du, Wentao Gao, Yanhong Chen, Cunlong Cui, Kai Xu

{"title":"Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy","authors":"Honglin Yan, Guanghui Du, Wentao Gao, Yanhong Chen, Cunlong Cui, Kai Xu","doi":"10.3390/app14188267","DOIUrl":"https://doi.org/10.3390/app14188267","url":null,"abstract":"In the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. Ten optimization parameters of stator and rotor are determined firstly. Then, using finite element analysis of rotor stress and rotor dynamics, the range of values for critical parameters of the rotor is established. Next, in the electromagnetic optimization, the process is divided into rotor parameter subspace and stator parameter subspace according to the subspace optimization strategy. The temperature field is also checked based on the optimization results. Finally, a prototype is manufactured and the comprehensive performance is tested to validate the multiphysics optimization process.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181121","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

Carbon Emission Analysis of Low-Carbon Technology Coupled with a Regional Integrated Energy System Considering Carbon-Peaking Targets 考虑碳排放目标的低碳技术与区域综合能源系统的碳排放分析

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188277

Yipu Zeng, Yiru Dai, Yiming Shu, Ting Yin

{"title":"Carbon Emission Analysis of Low-Carbon Technology Coupled with a Regional Integrated Energy System Considering Carbon-Peaking Targets","authors":"Yipu Zeng, Yiru Dai, Yiming Shu, Ting Yin","doi":"10.3390/app14188277","DOIUrl":"https://doi.org/10.3390/app14188277","url":null,"abstract":"Analyzing the carbon emission behavior of a regional integrated energy system (RIES) is crucial for aligning with carbon-peaking development strategies and ensuring compliance with carbon-peaking implementation pathways. This study focuses on a building cluster area in Shanghai, China, aiming to provide a comprehensive analysis from both macro and micro perspectives. From a macro viewpoint, an extended STIRPAT model, incorporating the environmental Kuznets curve, is proposed to predict the carbon-peaking trajectory in Shanghai. This approach yields carbon-peaking implementation pathways for three scenarios: rapid development, stable development, and green development, spanning the period of 2020–2040. At a micro scale, three distinct RIES system configurations—fossil, hybrid, and clean—are formulated based on the renewable energy penetration level. Utilizing a multi-objective optimization model, this study explores the carbon emission behavior of a RIES while adhering to carbon-peaking constraints. Four scenarios of carbon emission reduction policies are implemented, leveraging green certificates and carbon-trading mechanisms. Performance indicators, including carbon emissions, carbon intensity, and marginal emission reduction cost, are employed to scrutinize the carbon emission behavior of the cross-regional integrated energy system within the confines of carbon peaking.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181128","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

Fast Fault Line Selection Technology of Distribution Network Based on MCECA-CloFormer 基于 MCECA-CloFormer 的配电网络快速故障选线技术

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188270

Can Ding, Pengcheng Ma, Changhua Jiang, Fei Wang

{"title":"Fast Fault Line Selection Technology of Distribution Network Based on MCECA-CloFormer","authors":"Can Ding, Pengcheng Ma, Changhua Jiang, Fei Wang","doi":"10.3390/app14188270","DOIUrl":"https://doi.org/10.3390/app14188270","url":null,"abstract":"When a single-phase grounding fault occurs in resonant ground distribution network, the fault characteristics are weak and it is difficult to detect the fault line. Therefore, a fast fault line selection method based on MCECA-CloFormer is proposed in this paper. Firstly, zero-sequence current signals were converted into images using the moving average filter method and motif difference field to construct fault data set. Then, the ECA module was modified to MCECA (MultiCNN-ECA) so that it can accept data input from multiple measurement points. Secondly, the lightweight model CloFormer was used in the back end of MCECA module to further perceive the feature map and complete the establishment of the line selection model. Finally, the line selection model was trained, and the information such as model weight was saved. The simulation results demonstrated that the pre-trained MCECA-CloFormer achieved a line selection accuracy of over 98% under 10 dB noise, with a remarkably low single fault processing time of approximately 0.04 s. Moreover, it exhibited suitability for arc high-resistance grounding faults, data-missing cases, neutral-point ungrounded systems, and active distribution networks. In addition, the method was still valid when tested with actual field recording data.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181122","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

Azimuthal Solar Synchronization and Aerodynamic Neuro-Optimization: An Empirical Study on Slime-Mold-Inspired Neural Networks for Solar UAV Range Optimization 方位太阳同步和空气动力神经优化：用于太阳能无人飞行器航程优化的 Slime-Mold 激励型神经网络实证研究

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188265

Graheeth Hazare, Mohamed Thariq Hameed Sultan, Dariusz Mika, Farah Syazwani Shahar, Grzegorz Skorulski, Marek Nowakowski, Andriy Holovatyy, Ile Mircheski, Wojciech Giernacki

{"title":"Azimuthal Solar Synchronization and Aerodynamic Neuro-Optimization: An Empirical Study on Slime-Mold-Inspired Neural Networks for Solar UAV Range Optimization","authors":"Graheeth Hazare, Mohamed Thariq Hameed Sultan, Dariusz Mika, Farah Syazwani Shahar, Grzegorz Skorulski, Marek Nowakowski, Andriy Holovatyy, Ile Mircheski, Wojciech Giernacki","doi":"10.3390/app14188265","DOIUrl":"https://doi.org/10.3390/app14188265","url":null,"abstract":"This study introduces a novel methodology for enhancing the efficiency of solar-powered unmanned aerial vehicles (UAVs) through azimuthal solar synchronization and aerodynamic neuro-optimization, leveraging the principles of slime mold neural networks. The objective is to broaden the operational capabilities of solar UAVs, enabling them to perform over extended ranges and in varied weather conditions. Our approach integrates a computational model of slime mold networks with a simulation environment to optimize both the solar energy collection and the aerodynamic performance of UAVs. Specifically, we focus on improving the UAVs’ aerodynamic efficiency in flight, aligning it with energy optimization strategies to ensure sustained operation. The findings demonstrated significant improvements in the UAVs’ range and weather resilience, thereby enhancing their utility for a variety of missions, including environmental monitoring and search and rescue operations. These advancements underscore the potential of integrating biomimicry and neural-network-based optimization in expanding the functional scope of solar UAVs.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181108","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-Scale Graph Attention-Based Transformer for Occluded Person Re-Identification 基于多尺度图注意的变换器，用于模糊人物再识别

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188279

Ming Ma, Jianming Wang, Bohan Zhao

{"title":"A Multi-Scale Graph Attention-Based Transformer for Occluded Person Re-Identification","authors":"Ming Ma, Jianming Wang, Bohan Zhao","doi":"10.3390/app14188279","DOIUrl":"https://doi.org/10.3390/app14188279","url":null,"abstract":"The objective of person re-identification (ReID) tasks is to match a specific individual across different times, locations, or camera viewpoints. The prevalent issue of occlusion in real-world scenarios affects image information, rendering the affected features unreliable. The difficulty and core challenge lie in how to effectively discern and extract visual features from human images under various complex conditions, including cluttered backgrounds, diverse postures, and the presence of occlusions. Some works have employed pose estimation or human key point detection to construct graph-structured information to counteract the effects of occlusions. However, this approach introduces new noise due to issues such as the invisibility of key points. Our proposed module, in contrast, does not require the use of additional feature extractors. Our module employs multi-scale graph attention for the reweighting of feature importance. This allows features to concentrate on areas genuinely pertinent to the re-identification task, thereby enhancing the model’s robustness against occlusions. To address these problems, a model that employs multi-scale graph attention to reweight the importance of features is proposed in this study, significantly enhancing the model’s robustness against occlusions. Our experimental results demonstrate that, compared to baseline models, the method proposed herein achieves a notable improvement in mAP on occluded datasets, with increases of 0.5%, 31.5%, and 12.3% in mAP scores.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181134","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 Machine Learning Approach for Predicting and Mitigating Pallet Collapse during Transport: The Case of the Glass Industry 预测和缓解运输过程中托盘倒塌的机器学习方法：玻璃行业案例

Applied Sciences Pub Date : 2024-09-13 DOI: 10.3390/app14188256

Francisco Carvalho, João Manuel R. S. Tavares, Marta Campos Ferreira

{"title":"A Machine Learning Approach for Predicting and Mitigating Pallet Collapse during Transport: The Case of the Glass Industry","authors":"Francisco Carvalho, João Manuel R. S. Tavares, Marta Campos Ferreira","doi":"10.3390/app14188256","DOIUrl":"https://doi.org/10.3390/app14188256","url":null,"abstract":"This study explores the prediction and mitigation of pallet collapse during transportation within the glass packaging industry, employing a machine learning approach to reduce cargo loss and enhance logistics efficiency. Using the CRoss-Industry Standard Process for Data Mining (CRISP-DM) framework, data were systematically collected from a leading glass manufacturer and analysed. A comparative analysis between the Decision Tree and Random Forest machine learning algorithms, evaluated using performance metrics such as F1-score, revealed that the latter is more effective at predicting pallet collapse. This study is pioneering in identifying new critical predictive variables, particularly geometry-related and temperature-related features, which significantly influence the stability of pallets. Based on these findings, several strategies to prevent pallet collapse are proposed, including optimizing pallet stacking patterns, enhancing packaging materials, implementing temperature control measures, and developing more robust handling protocols. These insights demonstrate the utility of machine learning in generating actionable recommendations to optimize supply chain operations and offer a foundation for further academic and practical advancements in cargo handling within the glass industry.","PeriodicalId":8224,"journal":{"name":"Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142181126","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