EAI Endorsed Transactions on Industrial Networks and Intelligent Systems最新文献_第3页

Attention ConvMixer Model and Application for Fish Species Classification 注意:ConvMixer模型及其在鱼类分类中的应用

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-09-06 DOI: 10.4108/eetinis.v10i3.3562

Thanh Viet Le, Hoang-Minh-Quang Le, Van Yem Vu, Thi-Thao Tran, Van-Truong Pham

引用次数: 0

Availability of Free-Space Laser Communication Link with the Presence of Clouds in Tropical Regions 热带地区有云时自由空间激光通信链路的可用性

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-08-23 DOI: 10.4108/eetinis.v10i3.3327

Thang V. Nguyen, Hoa T. Le, H. Pham, N. Dang

{"title":"Availability of Free-Space Laser Communication Link with the Presence of Clouds in Tropical Regions","authors":"Thang V. Nguyen, Hoa T. Le, H. Pham, N. Dang","doi":"10.4108/eetinis.v10i3.3327","DOIUrl":"https://doi.org/10.4108/eetinis.v10i3.3327","url":null,"abstract":"Free-space laser communication (lasercom), a great application of using free-space optics (FSO) for satellite communication, has been gaining significant attraction. However, despite of great potential of lasercom, its performance is limited by the adverse effects of atmospheric turbulence and cloud attenuation, which directly affect the quality and availability of lasercom links. The paper, therefore, concentrates on evaluating the cloud attenuation in the FSO downlinks between satellite and ground stations in tropical regions. The meteorological ERA-Interim database provided by the European Center for Medium-Range Weather Forecast (ECMWF) from 2015 to 2020 is used to get the cloud database in several areas in tropical regions. This study proposed a novel probability density function of cloud attenuation, which is validated by using a well-known curve-fitting method. Moreover, we derive a closed-form of satellite-based FSO link availability by applying the site diversity technique to improve the system performance. Numerical results, which demonstrate the urgency of the paper, reveal that the impact of clouds on tropical regions is more severe than in temperate regions.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"10 1","pages":"e1"},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70857623","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-Constraints Routing Scheme for MANET-assisted IoT in Smart Cities 智慧城市中无线网络辅助物联网的多约束路由方案

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-08-17 DOI: 10.4108/eetinis.v10i2.3388

Quy Vu Khanh, Ban Nguyen Tien, Quy Nguyen Minh, Van-Hau Nguyen

引用次数: 0

Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops 灵活的基于HTTP的视频自适应流在带宽突然下降时提供良好的QoE

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-06-09 DOI: 10.4108/eetinis.v10i2.2994

Nguyen Viet Hung, Trinh Dac Chien, Nam Pham Ngoc, T. Truong

{"title":"Flexible HTTP-based Video Adaptive Streaming for good QoE during sudden bandwidth drops","authors":"Nguyen Viet Hung, Trinh Dac Chien, Nam Pham Ngoc, T. Truong","doi":"10.4108/eetinis.v10i2.2994","DOIUrl":"https://doi.org/10.4108/eetinis.v10i2.2994","url":null,"abstract":"We have observed a boom in video streaming over the Internet, especially during the Covid-19 pandemic, that could exceed the network resource availability. In addition to upgrading the network infrastructure, finding a way to smartly adapt the streaming system to the network and users’ conditions to satisfy clients’ perceptions is exceptionally critical, too. This paper proposes a new QoE-aware adaptive streaming scheme over HTTP - ABRA - to make flexible adaptations based on the network and the client’s current status. Besides, we propose a technique that can keep the buffer at an average high for more than 10s. We were limiting the phenomena of rebuffering due to unexpected and unpredictable bandwidth changes. The algorithm keeps the quality of subsequent versions’ quality constant even when the average bitrate decreases, increasing the QoE. Experimental results show that our method can improve QoE from 7.86% to 20.41% compared to state-of-the-art methods. ABRA can provide better performance in terms of QoE score in all buffer conditions compared to the existing solutions while maintaining a minimum secured buffer level for the worst case.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44372879","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

Joint Clustering and Routing Optimisation for Low-power Wireless Sensor Networks 低功耗无线传感器网络的联合聚类和路由优化

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-06-09 DOI: 10.4108/eetinis.v10i2.2997

Thanh Le Viet, Minh-Phung Bui, Thanh-Minh Phan, Thanh-Dung Tran

引用次数: 0

Transforming Data with Ontology and Word Embedding for an Efficient Classification Framework 基于本体和词嵌入的数据转换高效分类框架

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-06-01 DOI: 10.4108/eetinis.v10i2.2726

Thi Thanh Sang Nguyen, P. M. T. Do, Thanh Tuan Nguyen, T. Quan

引用次数: 0

Enhancing Single-Image Super-Resolution using Patch-Mosaic Data Augmentation on Lightweight Bimodal Network 基于轻量级双峰网络的补丁拼接数据增强单幅图像超分辨率

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-05-25 DOI: 10.4108/eetinis.v10i2.2774

Quoc Toan Nguyen, Tang Quang Hieu

{"title":"Enhancing Single-Image Super-Resolution using Patch-Mosaic Data Augmentation on Lightweight Bimodal Network","authors":"Quoc Toan Nguyen, Tang Quang Hieu","doi":"10.4108/eetinis.v10i2.2774","DOIUrl":"https://doi.org/10.4108/eetinis.v10i2.2774","url":null,"abstract":"With the advancement of deep learning, single-image super-resolution (SISR) has made significant strides. However, most current SISR methods are challenging to employ in real-world applications because they are doubtlessly employed by substantial computational and memory costs caused by complex operations. Furthermore, an efficient dataset is a key factor for bettering model training. The hybrid models of CNN and Vision Transformer can be more efficient in the SISR task. Nevertheless, they require substantial or extremely high-quality datasets for training that could be unavailable from time to time. To tackle these issues, a solution combined by applying a Lightweight Bimodal Network (LBNet) and Patch-Mosaic data augmentation method which is the enhancement of CutMix and YOCO is proposed in this research. With patch-oriented Mosaic data augmentation, an efficient Symmetric CNN is utilized for local feature extraction and coarse image restoration. Plus, a Recursive Transformer aids in fully grasping the long-term dependence of images, enabling the global information to be fully used to refine texture details. Extensive experiments have shown that LBNet with the proposed data augmentation with zero-free additional parameters method outperforms the original LBNet and other state-of-the-art techniques in which image-level data augmentation is applied.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45584408","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

A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation 基于瀑布形空间池化和局部活动轮廓损失的全卷积网络在鱼类分割中的应用

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-04-20 DOI: 10.4108/eetinis.v10i1.2942

Thanh Viet Le, Van Yem Vu, Van-Truong Pham, Thi-Thao Tran

{"title":"A Fully Convolutional Network with Waterfall Atrous Spatial Pooling and Localized Active Contour Loss for Fish Segmentation","authors":"Thanh Viet Le, Van Yem Vu, Van-Truong Pham, Thi-Thao Tran","doi":"10.4108/eetinis.v10i1.2942","DOIUrl":"https://doi.org/10.4108/eetinis.v10i1.2942","url":null,"abstract":"Accurate measurements and statistics of fish data are important for sustainable development of aqua-enviroment and marine fisheries. For data measurements and statistics, automatic segmentation of fish is one of key tasks. The fish segmentation however is a challenging task due to arterfacts in underwater images. In this study, we introduce a deep-learning approach, namely FCN-WRN-WASP for automatic fish segmentation from the underwater images. In particular, we introduce a computational-efficient variation called Waterfall Atrous Spatial Pooling (WASP) module into a Fully convolutional network with Wide ResNet baseline. We also proposed a loss function inspired from active contour approach that can exploit the local intensity information from the input image. The approach has been validated on the DeepFish data and the SIUM data set. The results are promissing for fish segmentation, with higher Intersection over Union (IoU) scores compared to state of the arts. The evaluation results showed that the incorporation of the image based active contour loss helps increase the segmentation performance. In addition, the use of the WASP in the architecture is effective especially for forground fish segmentation.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"106 1","pages":"e4"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80961213","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

Sub-optimal Deep Pipelined Implementation of MIMO Sphere Detector on FPGA MIMO球面检测器在FPGA上的次优深度流水线实现

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-03-29 DOI: 10.4108/eetinis.v10i1.2630

Minh Le Nguyen, X. Tran, Vu-Duc Ngo, Quang-Kien Trinh, Duc-Thang Nguyen, Tien Anh Vu

引用次数: 0

AgFAB - A Farmer-centered Agricultural Bower AgFAB -以农民为中心的农业凉亭

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-02-08 DOI: 10.4108/eetinis.v10i1.2714

M. Iqbal, Brianna B. Posadas, Fudi Qin, Bohan Liu, Ali Siddique

引用次数: 0