International Journal of Interdisciplinary Telecommunications and Networking最新文献_第2页

The Cell-Free Networks Enhancement by Relays Implementa-tion 通过中继实现的无蜂窝网络增强

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2023-04-01 DOI: 10.21608/ijt.2023.293231

引用次数: 0

Integration of Agricultural Wireless Sensor Networks to Web-of-Things Through an Edge-Computing-Enriched WSNs/WoT Gateway 通过边缘计算丰富的WSN/WoT网关将农业无线传感器网络与物联网集成

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2023-03-31 DOI: 10.4018/ijitn.309694

Chenrui Yu, Liang Gong, Rui Fang, Yixiang Huang, Wei Wu, Chengliang Liu

{"title":"Integration of Agricultural Wireless Sensor Networks to Web-of-Things Through an Edge-Computing-Enriched WSNs/WoT Gateway","authors":"Chenrui Yu, Liang Gong, Rui Fang, Yixiang Huang, Wei Wu, Chengliang Liu","doi":"10.4018/ijitn.309694","DOIUrl":"https://doi.org/10.4018/ijitn.309694","url":null,"abstract":"To connect agricultural wireless sensor networks (WSNs) to web services and applications, the agricultural WSNs/WoT gateway is empowered with local data management and network maintenance functions for downstream WSNs in addition to traditional upstream data collection. This work demonstrates a low-cost, highly scalable, rapidly deployable web of things (WoT) gateway with edge computing capabilities. First, an agricultural WSNs/WoT topology is architected, connecting a ZigBee WSNs to the Web for remote monitoring the local environmental and agronomical information, and simultaneously for managing the solar-powered WSNs for a prolonged lifespan according to the instant data scrawled from the cloud. Second, a WSNs/WoT gateway is designed with the hardware platform Raspberry Pi 3, which serves multiple needs for bidirectional information exchange and local WSNs management. Finally, experimentation demonstrates the proposed hardware platform and architecture can perform edge computing, and efficiently realize the up and down transmission and distribution of data stream.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42056639","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

Intelligent Reflecting Surfaces: Performance Simulation in Millimeter Wave Channels 智能反射面:毫米波通道的性能模拟

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2023-02-05 DOI: 10.21608/ijt.2023.284129

Mohamed Shalaby, Doaa Baioumy, Mina Hana, M. Shokair

引用次数: 1

Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks Alamouti编码5G网络中智能反射面辅助通信电磁干扰效应研究

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-11-29 DOI: 10.21608/ijt.2022.271689

Mohamed Shalaby, Doaa Helmy, Mina Wagih Lamie, M. Shokair

{"title":"Study of Electromagnetic Interference Effects in Intelligent Reflecting Surfaces Aided Communication in Alamouti Coded 5G Networks","authors":"Mohamed Shalaby, Doaa Helmy, Mina Wagih Lamie, M. Shokair","doi":"10.21608/ijt.2022.271689","DOIUrl":"https://doi.org/10.21608/ijt.2022.271689","url":null,"abstract":": The cooperative communication techniques, wherein several transmitters and one receiver are implemented, can greatly increase the performance of a communication system. In fact, the cooperative communication has been launched since the fourth generation mobile systems. The two competing cooperative techniques are; relays and intelligent reflecting surfaces (IRS). It is known that the electromagnetic interference (EMI) can degrade a radio system performance. In this paper, the EMI, affecting an IRS-based communication system, is mathematically modeled and simulated. The interference level can be affected by the channel parameters which are the 5G path loss models. In order to improve the communication system performance, Alamouti codes are applied. The gain, offered by diversity codes “Alamouti”, can reduce the degradation of the performance due to the EMI existence. The complete mathematical model is carried out as well as the simulation model. The simulation results show that the cooperative Alamouti-coded 5G radio systems have a satisfying performance even the EMI exists.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81604738","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

Brain Tumor Detection Using a Broadband Microstrip Anten-na with a Defected Ground Structure 基于缺陷接地结构的宽带微带天线的脑肿瘤检测

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-10-19 DOI: 10.21608/ijt.2022.266292

Laila T. Rakha, N. Areed, Hamdi Elmkati

引用次数: 1

Real-Time Facial Expression Recognition and Speech Tran-scripts over an on-premise Video Conference Application 实时面部表情识别和语音转录在一个内部部署视频会议应用程序

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-08-21 DOI: 10.21608/ijt.2022.266291

Sally Ahmed, N. Areed, M. Obayya, F. Khalifa

{"title":"Real-Time Facial Expression Recognition and Speech Tran-scripts over an on-premise Video Conference Application","authors":"Sally Ahmed, N. Areed, M. Obayya, F. Khalifa","doi":"10.21608/ijt.2022.266291","DOIUrl":"https://doi.org/10.21608/ijt.2022.266291","url":null,"abstract":": Since Covid-19 pandemic outbreak, organizations and individuals have had to use video conference applications increasingly. However, the commercial video conference applications are expensive, and feature limited. This paper discusses how to enable organizations to host on-premise video conference applications. Then, it explores assisting organization’s stakeholders with making decisions based on facial expressions of video conference attendees. Moreover, it facili-tates transcribing speech into text to enable deaf persons to participate in online conferences. Technologies and tools used in addressing these challenges respectively are: (i) Web Real Time Communication (WebRTC) project, (ii) Tensorflow.js library, (iii) and Web Speech Application Programming Interface (API). This paper depends on integration between a collection of technologies, libraries, standards, and protocols. Most of them can be managed using JavaScript framework. Hence, load of the performance is distributed on each client-side device. The proposed on-premise video conference application has been enhanced through including facial expression recognition with 66% high accuracy while the speech-into-text feature with Word Error Rates (WER) are 0 and 0.12 for British English and Egyptian Arabic, respectively .","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87665895","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

Performance Analysis of Improved Clutter-Map MTD Proces-sor for both Slowly & Tangential Moving Targets (STMT). 改进杂波映射MTD处理器对慢速和切向运动目标的性能分析。

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-06-16 DOI: 10.21608/ijt.2022.266473

Tamer H. M. Soliman, Hazem Z. Fahim, I. Metwally

{"title":"Performance Analysis of Improved Clutter-Map MTD Proces-sor for both Slowly & Tangential Moving Targets (STMT).","authors":"Tamer H. M. Soliman, Hazem Z. Fahim, I. Metwally","doi":"10.21608/ijt.2022.266473","DOIUrl":"https://doi.org/10.21608/ijt.2022.266473","url":null,"abstract":": D etection performance of slowly and tangential moving targets (STMT) is a considerable problem in modern radar systems, especially in unwanted reflected signals. These STMT produce zero/near-zero Doppler frequency shifts which the moving target indicator processor automatically removes. One popular solution is applying the received echo after passing through matched filer (MF) through a moving target detector (MTD) with a clutter map processor. In this paper, an improved clutter map MTD processor is considered. It relays on passing the output from MF through a sidelobe suppression optimum filter (SLS-OF) before clutter map MTD to relieve the detrimental effect of the clutter returns. The performance of the intended processor is evaluated compared with the traditional MTD using equal length Barker and polyphase coded waveforms. The evaluation process involves calculating the average peak signal to sidelobe ratio (PLSR) and evaluating the detection performance through the receiver operating characteristic (ROC) curve. The enhancement PLSR for the two scenarios are 4dB and 6dB, respectively, which improves the detection performance of the proposed processor by 2 dB.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72979996","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

Proposed Approaches for Brain Tumors Detection Techniques Using Convolutional Neural Networks 基于卷积神经网络的脑肿瘤检测方法

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-04-28 DOI: 10.21608/ijt.2022.266293

Somaya Feshawy, W. Saad, M. Shokair, M. Dessouky

{"title":"Proposed Approaches for Brain Tumors Detection Techniques Using Convolutional Neural Networks","authors":"Somaya Feshawy, W. Saad, M. Shokair, M. Dessouky","doi":"10.21608/ijt.2022.266293","DOIUrl":"https://doi.org/10.21608/ijt.2022.266293","url":null,"abstract":": A brain tumor is an intracranial mass consisting of irregular growth of brain tissue cells. Medical imaging plays a vital role in discovering and examining the precise performance of organs The performance of object detection has increased dramatically by taking advantage of recent advances in deep learning. This paper presents a Convolutional Neural Network (CNN) architecture model-based classification approach for brain tumor detection from Magnetic Resonance Imaging (MRI) images. The network training was carried out in both the original dataset and the augmented dataset. Whereas the whole brain MRI images were scaled to fit the input image size of each pre-trained CNN network. Moreover, a comparative study between the proposed model and other pre-trained models was made in terms of accuracy, precision, specificity, sensitivity, and F1-score. Finally, experimental results reveal that without data augmentation, the proposed approach achieves an overall accuracy rate of 96.35 percent for a split ratio of 80:20. While the addition of data augmentation boosted the accuracy to 97.78 percent for the same split ratio. Thus, the obtained results demonstrate the effectiveness of the proposed approach to assist professionals in Automated medical diagnostic services. Neural Networks; Data Augmentation.","PeriodicalId":42285,"journal":{"name":"International Journal of Interdisciplinary Telecommunications and Networking","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82416501","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: 2

Role of New Wireless Technologies in Achieving UN SDGs 新无线技术在实现联合国可持续发展目标中的作用

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-01-01 DOI: 10.4018/ijitn.309703

M. Pejanović-Djurišić

引用次数: 0

A Holistic Approach of Achieving Accurate Radio Location Estimation in Long Range Wide Area Network 一种实现远程广域网精确无线电位置估计的整体方法

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International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2022-01-01 DOI: 10.4018/ijitn.312256

U. Nwawelu, M. Ahaneku

引用次数: 0