EAI Endorsed Transactions on Industrial Networks and Intelligent Systems最新文献_第2页

Intelligent Raspberry-Pi-Based Parking Slot Identification System 基于树莓派的智能车位识别系统

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-11-06 DOI: 10.4108/eetinis.v10i4.4294

Raghav Agarwal, Gaurav Sharma, Nirdesh Singh, Hrishikesh S Nair, Yash Daga, D Venkata Lakshmi

{"title":"Intelligent Raspberry-Pi-Based Parking Slot Identification System","authors":"Raghav Agarwal, Gaurav Sharma, Nirdesh Singh, Hrishikesh S Nair, Yash Daga, D Venkata Lakshmi","doi":"10.4108/eetinis.v10i4.4294","DOIUrl":"https://doi.org/10.4108/eetinis.v10i4.4294","url":null,"abstract":"A growing population necessitates more transportation, which pressures car parking spots. Parking is a problem for public places in cities, such as theatres, malls, parks, and temples. Even though several techniques have been suggested in publications, manual parking systems are still used in most places. For large locations where it is challenging to find open spaces, traditional parking arrangements need to be more archaic and convoluted. This might lead to heavy traffic, minor mishaps, and widespread accidents. In the modern era of sophisticated parking management systems, an automatic parking spot-detecting system has been introduced in an innovative format. Experts in computer vision are drawn to this emerging field to contribute. The system could tell if the automobile was fully or partially parked. Neither during the process nor afterward, human oversight is required. As parking management enters the modern era, computer vision is becoming increasingly critical. The parking system will not only make it easier for drivers to identify parking spaces but also enhance parking administration and monitoring. Vehicles will be able to observe available parking spots due to technology that monitors parking spaces. India and other emerging nations, as well as industrialized ones, have recently shown interest in smart cities. This article's smart auto parking system was conceived and implemented utilizing a Raspberry Pi and cameras placed in various parking spaces. Using a website and an Android app, this project creates and deploys a real-time system that enables vehicles to efficiently find and reclaim open parking spaces.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135636439","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

Context-Aware Device Classification and Clustering for Smarter and Secure Connectivity in Internet of Things 面向物联网中更智能、更安全连接的环境感知设备分类和聚类

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-10-02 DOI: 10.4108/eetinis.v10i3.3874

Priyanka More, None Sachin Sakhare

{"title":"Context-Aware Device Classification and Clustering for Smarter and Secure Connectivity in Internet of Things","authors":"Priyanka More, None Sachin Sakhare","doi":"10.4108/eetinis.v10i3.3874","DOIUrl":"https://doi.org/10.4108/eetinis.v10i3.3874","url":null,"abstract":"With the increasing prevalence of the Internet of Things (IoT), there is a growing need for effective access control methods to secure IoT systems and data. Traditional access control models often prove inadequate when dealing with the specific challenges presented by IoT, characterized by a variety of heterogeneous devices, ever-changing network structures, and diverse contextual elements. Managing IoT devices effectively is a complex task in maintaining network security.This study introduces a context-driven approach for IoT Device Classification and Clustering, aiming to address the unique characteristics of IoT systems and the limitations of existing access control methods. The proposed context-based model utilizes contextual information such as device attributes, location, time, and communication patterns to dynamically establish clusters and cluster leaders. By incorporating contextual factors, the model provides a more accurate and adaptable clustering mechanism that aligns with the dynamic nature of IoT systems. Consequently, network administrators can configure dynamic access policies for these clusters.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135834934","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

Multi-objective optimization model for sustainable production planning in textile MSMEs 纺织中小微企业可持续生产计划的多目标优化模型

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Pub Date : 2023-09-27 DOI: 10.4108/eetinis.v10i3.3752

Pablo Flores-Siguenza, Jose Antonio Marmolejo-Saucedo, Rodrigo Guamán

{"title":"Multi-objective optimization model for sustainable production planning in textile MSMEs","authors":"Pablo Flores-Siguenza, Jose Antonio Marmolejo-Saucedo, Rodrigo Guamán","doi":"10.4108/eetinis.v10i3.3752","DOIUrl":"https://doi.org/10.4108/eetinis.v10i3.3752","url":null,"abstract":"Textile MSMEs are characterized by their high influence on the economy of the countries, both for their contribution to the gross domestic product as well as for the generation of employment, in recent years the complexity of their operations, instability and lack of balance between economic, environmental and social factors, axes of sustainable development, stand out. It is necessary to implement approaches such as sustainable manufacturing and production planning, which seeks the creation of products with minimal environmental impact, safe for workers, and economically robust. In this context, this study aims to develop a multi-objective optimization model that enhances sustainable production planning in textile MSMEs. The methodology is based on two phases, the first one focused on the acquisition of information and the second one dedicated to the mathematical formulation of the model, where three objective functions focused on economic, environmental and social factors are proposed. The model is validated with real data from a textile MSME in Ecuador and different production alternatives are generated by proposing the implementation and use of photovoltaic energy as well as a greater use of personal protective equipment. One of the relevant conclusions of the study is the contribution to the textile industry with a sustainable decision support tool, where different scenarios for production planning and their respective economic, environmental and social consequences are shown.","PeriodicalId":33474,"journal":{"name":"EAI Endorsed Transactions on Industrial Networks and Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135538093","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

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