Electronics最新文献_第5页

Application of Genetic Algorithms for Strejc Model Parameter Tuning 遗传算法在 Strejc 模型参数调整中的应用

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-13 DOI: 10.3390/electronics13183652

Dawid Ostaszewicz, Krzysztof Rogowski

引用次数: 0

The Impact of Federated Learning on Improving the IoT-Based Network in a Sustainable Smart Cities 联盟学习对改进可持续智慧城市中基于物联网的网络的影响

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-13 DOI: 10.3390/electronics13183653

Muhammad Ali Naeem, Yahui Meng, Sushank Chaudhary

{"title":"The Impact of Federated Learning on Improving the IoT-Based Network in a Sustainable Smart Cities","authors":"Muhammad Ali Naeem, Yahui Meng, Sushank Chaudhary","doi":"10.3390/electronics13183653","DOIUrl":"https://doi.org/10.3390/electronics13183653","url":null,"abstract":"The caching mechanism of federated learning in smart cities is vital for improving data handling and communication in IoT environments. Because it facilitates learning among separately connected devices, federated learning makes it possible to quickly update caching strategies in response to data usage without invading users’ privacy. Federated learning caching promotes improved dynamism, effectiveness, and data reachability for smart city services to function properly. In this paper, a new caching strategy for Named Data Networking (NDN) based on federated learning in smart cities’ IoT contexts is proposed and described. The proposed strategy seeks to apply a federated learning technique to improve content caching more effectively based on its popularity, thereby improving its performance on the network. The proposed strategy was compared to the benchmark in terms of the cache hit ratio, delay in content retrieval, and energy utilization. These benchmarks evidence that the suggested caching strategy performs far better than its counterparts in terms of cache hit rates, the time taken to fetch the content, and energy consumption. These enhancements result in smarter and more efficient smart city networks, a clear indication of how federated learning can revolutionize content caching in NDN-based IoT.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Set Restabilization of Perturbed Boolean Control Networks 扰动布尔控制网络的集合重稳定

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-12 DOI: 10.3390/electronics13183624

Yanfang Hou, Hui Tian

引用次数: 0

Stage-by-Stage Adaptive Alignment Mechanism for Object Detection in Aerial Images 航空图像中物体检测的逐级自适应对齐机制

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-12 DOI: 10.3390/electronics13183640

Jiangang Zhu, Donglin Jing, Dapeng Gao

{"title":"Stage-by-Stage Adaptive Alignment Mechanism for Object Detection in Aerial Images","authors":"Jiangang Zhu, Donglin Jing, Dapeng Gao","doi":"10.3390/electronics13183640","DOIUrl":"https://doi.org/10.3390/electronics13183640","url":null,"abstract":"Object detection in aerial images has had a broader range of applications in the past few years. Unlike the targets in the images of horizontal shooting, targets in aerial photos generally have arbitrary orientation, multi-scale, and a high aspect ratio. Existing methods often employ a classification backbone network to extract translation-equivariant features (TEFs) and utilize many predefined anchors to handle objects with diverse appearance variations. However, they encounter misalignment at three levels, spatial, feature, and task, during different detection stages. In this study, we propose a model called the Staged Adaptive Alignment Detector (SAADet) to solve these challenges. This method utilizes a Spatial Selection Adaptive Network (SSANet) to achieve spatial alignment of the convolution receptive field to the scale of the object by using a convolution sequence with an increasing dilation rate to capture the spatial context information of different ranges and evaluating this information through model dynamic weighting. After correcting the preset horizontal anchor to an oriented anchor, feature alignment is achieved through the alignment convolution guided by oriented anchor to align the backbone features with the object’s orientation. The decoupling of features using the Active Rotating Filter is performed to mitigate inconsistencies due to the sharing of backbone features in regression and classification tasks to accomplish task alignment. The experimental results show that SAADet achieves equilibrium in speed and accuracy on two aerial image datasets, HRSC2016 and UCAS-AOD.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"58 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crowd Panic Behavior Simulation Using Multi-Agent Modeling 利用多代理建模模拟人群恐慌行为

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-12 DOI: 10.3390/electronics13183622

Cătălin Dumitrescu, Valentin Radu, Radu Gheorghe, Alina-Iuliana Tăbîrcă, Maria-Cristina Ștefan, Liliana Manea

{"title":"Crowd Panic Behavior Simulation Using Multi-Agent Modeling","authors":"Cătălin Dumitrescu, Valentin Radu, Radu Gheorghe, Alina-Iuliana Tăbîrcă, Maria-Cristina Ștefan, Liliana Manea","doi":"10.3390/electronics13183622","DOIUrl":"https://doi.org/10.3390/electronics13183622","url":null,"abstract":"This research introduces a novel approach to crisis management by implementing a multi-agent algorithm within a strategic decision system. The proposed system harnesses multiple agents’ collective intelligence and adaptive capabilities to enhance decision-making processes during critical situations. The study first investigates the theoretical foundations of crisis management and multi-agent systems, emphasizing the need for an integrated approach that combines strategic decision-making with autonomous agents. Subsequently, the research presents the design and implementation of the multi-agent algorithm, outlining its ability to gather, process, and analyze diverse data sources in real time. The multi-agent algorithm is specifically tailored to adapt to dynamic crisis scenarios, ensuring a resilient decision-making framework. Experimental simulations present the implementation of a panic simulator and prediction of evacuation and intervention routes using multi-agent artificial intelligence algorithms. The results demonstrate the multi-agent algorithm-driven decision system’s superiority in response time, resource allocation, and overall crisis mitigation. Furthermore, the research explores the system’s scalability and adaptability to different crisis types, illustrating its potential applicability across diverse domains.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"176 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142208975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on Data Quality Governance for Federated Cooperation Scenarios 联盟合作场景下的数据质量管理研究

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183606

Junxin Shen, Shuilan Zhou, Fanghao Xiao

{"title":"Research on Data Quality Governance for Federated Cooperation Scenarios","authors":"Junxin Shen, Shuilan Zhou, Fanghao Xiao","doi":"10.3390/electronics13183606","DOIUrl":"https://doi.org/10.3390/electronics13183606","url":null,"abstract":"Exploring the data quality problems in the context of federated cooperation and adopting corresponding governance countermeasures can facilitate the smooth progress of federated cooperation and obtain high-performance models. However, previous studies have rarely focused on quality issues in federated cooperation. To this end, this paper analyzes the quality problems in the federated cooperation scenario and innovatively proposes a “Two-stage” data quality governance framework for the federated collaboration scenarios. The first stage is mainly local data quality assessment and optimization, and the evaluation is performed by constructing a metrics scoring formula, and corresponding optimization measures are taken at the same time. In the second stage, the outlier processing mechanism is introduced, and the Data Quality Federated Averaging (Abbreviation DQ-FedAvg) aggregation method for model quality problems is proposed, so as to train high-quality global models and their own excellent local models. Finally, experiments are conducted in real datasets to compare the model performance changes before and after quality governance, and to validate the advantages of the data quality governance framework in a federated learning scenario, so that it can be widely applied to various domains. The governance framework is used to check and govern the quality problems in the federated learning process, and the accuracy of the model is improved.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"53 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AiMap+: Guiding Technology Mapping for ASICs via Learning Delay Prediction AiMap+：通过学习延迟预测指导 ASIC 技术映射

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183614

Junfeng Liu, Qinghua Zhao

{"title":"AiMap+: Guiding Technology Mapping for ASICs via Learning Delay Prediction","authors":"Junfeng Liu, Qinghua Zhao","doi":"10.3390/electronics13183614","DOIUrl":"https://doi.org/10.3390/electronics13183614","url":null,"abstract":"Technology mapping is an essential process in the Electronic Design Automation (EDA) flow which aims to find an optimal implementation of a logic network from a technology library. In application-specific integrated circuit (ASIC) designs, the non-linear delay behaviors of cells in the library essentially guide the search direction of technology mappers. Existing methods for cell delay estimation, however, rely on approximate simplifications that significantly compromise accuracy, thereby limiting the achievement of better Quality-of-Result (QoR). To address this challenge, we propose formulating cell delay estimation as a regression learning task by incorporating multiple perspective features, such as the structure of logic networks and non-linear cell delays, to guide the mapper search. We design a learning model that incorporates a customized attention mechanism to be aware of the pin delay and jointly learns the hierarchy between the logic network and library through a Neural Tensor Network, with the help of proposed parameterizable strategies to generate learning labels. Experimental results show that (i) our proposed method noticeably improves area by 9.3% and delay by 1.5%, and (ii) improves area by 12.0% for delay-oriented mapping, compared with the well-known mapper.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"23 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a High-Precision Deep-Sea Magnetic Survey System for Human-Occupied Vehicles 为载人飞行器开发高精度深海磁力勘测系统

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183611

Qimao Zhang, Keyu Zhou, Ming Deng, Qisheng Zhang, Yongqiang Feng, Leisong Liu

{"title":"Development of a High-Precision Deep-Sea Magnetic Survey System for Human-Occupied Vehicles","authors":"Qimao Zhang, Keyu Zhou, Ming Deng, Qisheng Zhang, Yongqiang Feng, Leisong Liu","doi":"10.3390/electronics13183611","DOIUrl":"https://doi.org/10.3390/electronics13183611","url":null,"abstract":"The high-precision magnetic survey system is crucial for ocean exploration. However, most existing systems face challenges such as high noise levels, low sensitivity, and inadequate magnetic compensation effects. To address these issues, we developed a high-precision magnetic survey system based on the manned submersible “Deep Sea Warrior” for deep-ocean magnetic exploration. This system incorporates a compact optically pumped cesium (Cs) magnetometer sensor to measure the total strength of the external magnetic field. Additionally, a magnetic compensation sensor is included at the front end to measure real-time attitude changes of the platform. The measured data are then transmitted to a magnetic signal processor, where an algorithm compensates for the platform’s magnetic interference. We also designed a deep pressure chamber to allow for a maximum working depth of 4500 m. Experiments conducted in both indoor and field environments verified the performance of the proposed magnetic survey system. The results showed that the system’s sensitivity is ≤0.5 nT, the noise level of the magnetometer sensor is ≤1 pT/√Hz at 1 Hz, and the sampling rate is 10 Hz. The proposed system has potential applications in ocean and geophysical exploration.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"11 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Algorithm for Detecting and Restoring Tampered Images Using Chaotic Watermark Embedding 利用混沌水印嵌入检测和恢复篡改图像的算法

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183604

Zijie Xu, Erfu Wang

{"title":"An Algorithm for Detecting and Restoring Tampered Images Using Chaotic Watermark Embedding","authors":"Zijie Xu, Erfu Wang","doi":"10.3390/electronics13183604","DOIUrl":"https://doi.org/10.3390/electronics13183604","url":null,"abstract":"In recent years, the advancement of digital image processing technology and the proliferation of image editing software have reduced the technical barriers to digital image processing, enabling individuals without professional training to modify and edit images at their discretion. Consequently, the integrity and authenticity of the original image content assume greater significance. The current techniques for detecting tampering in watermark embedding are inadequate in terms of security, efficiency, and image restoration quality. In light of the aforementioned considerations, this paper puts forth an algorithm for the detection and restoration of tampered images, which employs a chaotic watermark embedding technique. The algorithm employs a chaotic system to establish a mapping relationship between image sub-blocks, thereby ensuring the randomness of the watermark information with respect to the positioning of the original image block and enhancing the security of the algorithm. Furthermore, the detection algorithm utilizes layered tampering detection to enhance the overall accuracy of the detection process and facilitate the extraction of the fundamental information required for image restoration. The restoration algorithm partially designs a weight assignment function to distinguish between the original image block and the main restored image block, thereby enhancing restoration efficiency and quality. The experimental results demonstrate that the proposed algorithm exhibits superior tamper detection accuracy compared to traditional algorithms, and the quality of the restored images is also enhanced under various simulated tamper attacks.","PeriodicalId":11646,"journal":{"name":"Electronics","volume":"270 1","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142209066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Analog Integrated Multiloop LDO: From Analysis to Design 模拟集成多回路 LDO：从分析到设计

IF 2.9 3区工程技术

Electronics Pub Date : 2024-09-11 DOI: 10.3390/electronics13183602

Konstantinos Koniavitis, Vassilis Alimisis, Nikolaos Uzunoglu, Paul P. Sotiriadis

引用次数: 0