Sensors最新文献_第8页

Masked Feature Residual Coding for Neural Video Compression. 神经视频压缩的掩码残差编码。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144460

Chajin Shin, Yonghwan Kim, KwangPyo Choi, Sangyoun Lee

{"title":"Masked Feature Residual Coding for Neural Video Compression.","authors":"Chajin Shin, Yonghwan Kim, KwangPyo Choi, Sangyoun Lee","doi":"10.3390/s25144460","DOIUrl":"10.3390/s25144460","url":null,"abstract":"In neural video compression, an approximation of the target frame is predicted, and a mask is subsequently applied to it. Then, the masked predicted frame is subtracted from the target frame and fed into the encoder along with the conditional information. However, this structure has two limitations. First, in the pixel domain, even if the mask is perfectly predicted, the residuals cannot be significantly reduced. Second, reconstructed features with abundant temporal context information cannot be used as references for compressing the next frame. To address these problems, we propose Conditional Masked Feature Residual (CMFR) Coding. We extract features from the target frame and the predicted features using neural networks. Then, we predict the mask and subtract the masked predicted features from the target features. Thereafter, the difference is fed into the encoder with the conditional information. Moreover, to more effectively remove conditional information from the target frame, we introduce a Scaled Feature Fusion (SFF) module. In addition, we introduce a Motion Refiner to enhance the quality of the decoded optical flow. Experimental results show that our model achieves an 11.76% bit saving over the model without the proposed methods, averaged over all HEVC test sequences, demonstrating the effectiveness of the proposed methods.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12299318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Agreement Between a Pre-Markered T-Shirt and Manual Marker Placement for Opto-Electronic Plethysmography (OEP) Measures. 预先标记的t恤和手动标记放置光电体积描记（OEP）措施的协议。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144464

Nayani G Adhikari, Eugénie Hunsicker, Matthew T G Pain, John W Dickinson, Samantha L Winter

{"title":"Agreement Between a Pre-Markered T-Shirt and Manual Marker Placement for Opto-Electronic Plethysmography (OEP) Measures.","authors":"Nayani G Adhikari, Eugénie Hunsicker, Matthew T G Pain, John W Dickinson, Samantha L Winter","doi":"10.3390/s25144464","DOIUrl":"10.3390/s25144464","url":null,"abstract":"Opto-electronic plethysmography (OEP) is used to measure chest wall compartment volumes and their synchronisation. Breathing pattern disorder (BPD) can be distinguished using the phase angles between these chest wall compartments during exercise. However, the time taken to manually place the standard OEP model involving 89 reflective markers is high during clinical application. The purpose of this study was to investigate the use of a pre-markered T-shirt instead of markers applied directly to the skin at rest, during different exercise intensities and recovery. Thirty-nine healthy participants (24 male, 15 female) aged 18-40 years performed an incremental cycling test with the skin-mounted OEP marker set. Participants then repeated the same cycling test with a pre-markered T-shirt. Across all test conditions, the T-shirt showed a strong level of agreement (Intraclass correlation coefficient (ICC) ≥ 0.9) with the standard breath-by-breath (BbB) gas analyser. Moreover, ICC values exceeded 0.8 for compartment contributions across all test conditions, indicating excellent agreement with the skin-mounted markers. The phase angles between compartments showed the best agreement during the moderate exercise level (0.6 < ICC < 0.8). In conclusion, the pre-markered T-shirt presents a viable solution for the quick monitoring of breathing patterns, as well as an effective tool in diagnosing BPD during exercise.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Airflow Dynamics for Micro-Wind Environment Optimization and Human Comfort Improvement: Roadshow Design for Theater Stage Spaces. 微风环境优化与人体舒适度改善的气流动力学：剧场舞台空间路演设计。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144456

Yiheng Liu, Menglong Zhang, Wenyang Han, Yufei He, Chang Yi, Yin Zhang, Jin Li

{"title":"Airflow Dynamics for Micro-Wind Environment Optimization and Human Comfort Improvement: Roadshow Design for Theater Stage Spaces.","authors":"Yiheng Liu, Menglong Zhang, Wenyang Han, Yufei He, Chang Yi, Yin Zhang, Jin Li","doi":"10.3390/s25144456","DOIUrl":"10.3390/s25144456","url":null,"abstract":"The optimization of ventilation strategies in high-ceiling theater stage spaces is crucial for improving thermal comfort and energy efficiency. This study addresses the challenge of uneven temperature distribution and airflow stagnation in stage environments by employing computational fluid dynamics (CFD) simulations to evaluate the effectiveness of different ventilation modes, including natural, mechanical, and hybrid systems. Six airflow organization scenarios were designed based on modifications to structural layout, equipment settings, and mechanical disturbances (e.g., fan integration). Key evaluation indicators such as temperature uniformity coefficient, airflow velocity, and exhaust efficiency were used to assess performance. The results show that a multi-dimensional optimization approach combining spatial adjustments and mechanical disturbances significantly reduced the average temperature from 26 °C to 23 °C and the temperature uniformity coefficient from 2.79 to 1.49. This study contributes a comprehensive design strategy for stage ventilation that improves comfort while minimizing energy consumption, offering practical implications for performance space design and HVAC system integration.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300029/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pixel 5 Versus Pixel 9 Pro XL-Are Android Devices Evolving Towards Better GNSS Performance? Pixel 5 vs . Pixel 9 Pro xl——Android设备是否朝着更好的GNSS性能发展？

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144452

Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák

{"title":"Pixel 5 Versus Pixel 9 Pro XL-Are Android Devices Evolving Towards Better GNSS Performance?","authors":"Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák","doi":"10.3390/s25144452","DOIUrl":"10.3390/s25144452","url":null,"abstract":"Smartphone GNSS technology has advanced significantly, but its performance varies considerably among Android devices due to differences in hardware and software. This study compares the GNSS capabilities of the Google Pixel 5 and Pixel 9 Pro XL (Google LLC, Mountain View, CA, USA) using five-hour static measurements under three environmental conditions: open area, canopy, and indoor. Complete raw GNSS data and the tools used for positioning are freely available. The analysis focuses on signal quality and positioning accuracy, derived using raw GNSS measurements. Results show that the Pixel 9 Pro XL provides better signal completeness, a higher carrier-to-noise density (C/N0), and improved L5 frequency reception. However, this enhanced signal quality does not always translate to superior positioning accuracy. In single-point positioning (SPP), the Pixel 5 outperformed the Pixel 9 Pro XL in open conditions when considering mean positional errors, while the Pixel 9 Pro XL performed better under canopy conditions. The precise point positioning results are modest compared to the current state of the art, only achieving accuracies of a few meters. The static method achieved sub-decimeter accuracy for both devices in optimal conditions, with Pixel 9 Pro XL demonstrating a higher fix rate. Findings highlight ongoing challenges in smartphone GNSS, particularly related to the limited quality of signals received by smartphone GNSS receivers. While newer devices show improved signal reception, precise positioning remains limited. Future research should explore software enhancements and the use of various external correction sources to optimize GNSS accuracy for mobile users. Generally, a shift from research to user-ready applications is needed.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology. 通过网络物理工作流程增强肿瘤诊断：整合形态学、形态测量学和基因组多模态数据分析和数字病理学可视化。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144465

Marianna Dimitrova Kucarov, Niklolett Szakállas, Béla Molnár, Miklos Kozlovszky

{"title":"Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology.","authors":"Marianna Dimitrova Kucarov, Niklolett Szakállas, Béla Molnár, Miklos Kozlovszky","doi":"10.3390/s25144465","DOIUrl":"10.3390/s25144465","url":null,"abstract":"The rapid advancement of genomic technologies has significantly transformed biomedical research and clinical applications, particularly in oncology. Identifying patient-specific genetic mutations has become a crucial tool for early cancer detection and personalized treatment strategies. Detecting tumors at the earliest possible stage provides critical insights beyond traditional tissue analysis. This paper presents a novel cyber-physical system that combines high-resolution tissue scanning, laser microdissection, next-generation sequencing, and genomic analysis to offer a comprehensive solution for early cancer detection. We describe the methodologies for scanning tissue samples, image processing of the morphology of single cells, quantifying morphometric parameters, and generating and analyzing real-time genomic metadata. Additionally, the intelligent system integrates data from open-access genomic databases for gene-specific molecular pathways and drug targets. The developed platform also includes powerful visualization tools, such as colon-specific gene filtering and heatmap generation, to provide detailed insights into genomic heterogeneity and tumor foci. The integration and visualization of multimodal single-cell genomic metadata alongside tissue morphology and morphometry offer a promising approach to precision oncology.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300765/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preliminary Analysis of Atmospheric Front-Related VHF Propagation Enhancements for Navigation Aids. 大气前相关VHF助航传播增强的初步分析。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144455

Tomasz Aleksander Miś, Wojciech Kazubski, Mikołaj Zieliński

引用次数: 0

A Taxonomy of Pressure Sensors for Compression Garment Development. 用于压缩服装开发的压力传感器分类。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144445

Gabriella Schauss, Allison P A Hayman

引用次数: 0

How to Talk to Your Classifier: Conditional Text Generation with Radar-Visual Latent Space. 如何与分类器对话：使用雷达视觉潜在空间的条件文本生成。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144467

Julius Ott, Huawei Sun, Lorenzo Servadei, Robert Wille

引用次数: 0

Reliable QoE Prediction in IMVCAs Using an LMM-Based Agent. 基于lmm Agent的imvca QoE可靠预测。

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144450

Michael Sidorov, Tamir Berger, Jonathan Sterenson, Raz Birman, Ofer Hadar

引用次数: 0

Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11. 基于改进YOLOv11的ELS-YOLO轻量化模型增强微光条件下无人机目标检测

IF 3.5 3区综合性期刊

Sensors Pub Date : 2025-07-17 DOI: 10.3390/s25144463

Tianhang Weng, Xiaopeng Niu

{"title":"Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11.","authors":"Tianhang Weng, Xiaopeng Niu","doi":"10.3390/s25144463","DOIUrl":"10.3390/s25144463","url":null,"abstract":"Drone-view object detection models operating under low-light conditions face several challenges, such as object scale variations, high image noise, and limited computational resources. Existing models often struggle to balance accuracy and lightweight architecture. This paper introduces ELS-YOLO, a lightweight object detection model tailored for low-light environments, built upon the YOLOv11s framework. ELS-YOLO features a re-parameterized backbone (ER-HGNetV2) with integrated Re-parameterized Convolution and Efficient Channel Attention mechanisms, a Lightweight Feature Selection Pyramid Network (LFSPN) for multi-scale object detection, and a Shared Convolution Separate Batch Normalization Head (SCSHead) to reduce computational complexity. Layer-Adaptive Magnitude-Based Pruning (LAMP) is employed to compress the model size. Experiments on the ExDark and DroneVehicle datasets demonstrate that ELS-YOLO achieves high detection accuracy with a compact model. Here, we show that ELS-YOLO attains a mAP@0.5 of 74.3% and 68.7% on the ExDark and DroneVehicle datasets, respectively, while maintaining real-time inference capability.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300599/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144744745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0