International Journal on Communications Antenna and Propagation最新文献

Automatic Detection of Modulation Scheme Using Convolutional Neural Networks 基于卷积神经网络的调制方案自动检测

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.22746

Blessy Babu, V. S. Hari

{"title":"Automatic Detection of Modulation Scheme Using Convolutional Neural Networks","authors":"Blessy Babu, V. S. Hari","doi":"10.15866/irecap.v13i3.22746","DOIUrl":"https://doi.org/10.15866/irecap.v13i3.22746","url":null,"abstract":"Automatic Modulation Classification (AMC) assumes a pivotal role in wireless communication systems. This paper presents an innovative intelligent modulation scheme detection approach utilizing a Convolutional Neural Network (CNN). The primary objective is to accurately identify the modulation schemes in the incoming signals without the need for selective feature extraction. The methodology involves transforming raw modulated signals into a 2D format and training a specialized CNN architecture. This novel approach eliminates the manual feature extraction process, simplifying the overall procedure and reducing computational complexity. The CNN learns intricate patterns and variations within the signals, enabling precise classification. Rigorous testing and validation demonstrate the high effectiveness of the CNN, achieving a remarkable prediction accuracy of 87.39%. The simulation results unequivocally substantiate the exceptional performance of the proposed. Furthermore, the system's robustness against noise is extensively evaluated and modelled, ensuring its reliability in real-world scenarios where signals are frequently corrupted by various forms of interference. The unique training methodology, well-designed CNN architecture and comprehensive evaluation of noise performance contribute to the novelty and efficacy of the proposed system.","PeriodicalId":38104,"journal":{"name":"International Journal on Communications Antenna and Propagation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365280","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

Towards an Improved Approach for Extracting Spatial Association Rules: an Empirical Study in Algeria 对提取空间关联规则的改进方法:在阿尔及利亚的实证研究

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.23289

Khadidja Belbachir, Redouane Tlemsani

{"title":"Towards an Improved Approach for Extracting Spatial Association Rules: an Empirical Study in Algeria","authors":"Khadidja Belbachir, Redouane Tlemsani","doi":"10.15866/irecap.v13i3.23289","DOIUrl":"https://doi.org/10.15866/irecap.v13i3.23289","url":null,"abstract":"The increasing production of geographical charts generates large volumes of data that exceed human capacities for analysis. From where is it interesting to apply the extraction techniques of knowledge, such as Data mining, to the geographical (spatial) databases to discover models or hidden rules? Much research was conducted on the discovery of knowledge in relational databases. However, some work treats the extracted knowledge in the spatial databases as particular data because they have a spatial component describing the objects or phenomena located on the ground. In this article, we present a method for extracting Association Rules (AR) from a spatial database. The proposed approach improves ARGIS in the direction of considering several reference layers instead of one. Moreover, the rules discovered connect several layers or objects; the latter have spatial and non-spatial properties. The method was tested on a spatial database including four layers: Population, Hypsography, Surface Water, and underground water in Algeria. Where the generated rules give new information that cannot be extracted by the traditional methods of spatial analysis.","PeriodicalId":38104,"journal":{"name":"International Journal on Communications Antenna and Propagation","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365131","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 Thermal Imaging Model for Roads Cracks Width Detection 道路裂缝宽度检测的热成像模型

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.23001

Moath Alsafasfeh, Abdullah Alhasanat, Saud Althunibat, Mohanad Alhasanat, Khaled Matrouk, Ahmad Hasan

{"title":"A Thermal Imaging Model for Roads Cracks Width Detection","authors":"Moath Alsafasfeh, Abdullah Alhasanat, Saud Althunibat, Mohanad Alhasanat, Khaled Matrouk, Ahmad Hasan","doi":"10.15866/irecap.v13i3.23001","DOIUrl":"https://doi.org/10.15866/irecap.v13i3.23001","url":null,"abstract":"Many roads have a punch of defects that negatively affect driving safety. The most popular defects on the roads are the cracks which need to be detected and estimated to determine the proper required action in order to provide safer road conditions. This paper aims to provide an algorithm to improve the Inspection process of roads which has difficulties in how to detect cracks and estimate their widths and therefore evaluate their effects on roads. In this paper, a novel algorithm has been developed to detect cracks on the roads and to estimate their width. The developed algorithm is based on locating cracks via horizontal and vertical pixels scan and then estimating the width of the cracks based on the real dimensions of the tested area. A thermal imaging tool was used in order to get an appropriate inspection process, where the Canny Edge Detector is applied to detect the cracks accurately. Such a model would be used by authorities that care about roads and transportation. The results show a promising detection and estimation of road cracks in real measurements which gives an indication of the effect of the cracks on the whole of the tested area.","PeriodicalId":38104,"journal":{"name":"International Journal on Communications Antenna and Propagation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365130","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

Microstrip Resonant and Non-Resonant Antenna for 5 GHz Indoor and Outdoor Band Applications 用于5 GHz室内和室外波段应用的微带谐振和非谐振天线

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.22428

Valsalam Reji, C. T. Manimegalai

引用次数: 0

Fingerprint Classification Using Double k-Means Clustering 基于双k均值聚类的指纹分类

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.22903

Alaa Sameer Ali, Enas Khalid Adnan, Hussain Falih Mahdi

引用次数: 0

Electromagnetic Field Screening on a Limited Antenna Arranger Located on a Multilayer Dielectric 多层介质上有限天线排布的电磁场屏蔽

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.23320

Marian Tadeusz Wnuk

引用次数: 0

Wavelet-Based Relevance Vector Machines for Identification of Diseased Patterns in Plethysmographic Observations in Wrist Pulse 基于小波相关向量机的腕部脉搏体积特征病变模式识别

International Journal on Communications Antenna and Propagation Pub Date : 2023-06-30 DOI: 10.15866/irecap.v13i3.23233

Sunil Karamchandani, Pranav H. Panicker, V. Venkataramanan

{"title":"Wavelet-Based Relevance Vector Machines for Identification of Diseased Patterns in Plethysmographic Observations in Wrist Pulse","authors":"Sunil Karamchandani, Pranav H. Panicker, V. Venkataramanan","doi":"10.15866/irecap.v13i3.23233","DOIUrl":"https://doi.org/10.15866/irecap.v13i3.23233","url":null,"abstract":"The morphology of the radial pulse enshrouds several patterns which correlate to normal and diseased conditions in the human body. This study explores the use of the Impedance Cardiovasography technique to bare the existence of eight such morphological contours from plethysmography observations on the radial pulse. Wavelet-based parallel Relevance Vector Machine (mRVM) architecture with Gaussian kernel achieves the highest accuracy of 87.27% as compared with Cauchy and spline kernels and also with principal components of the morphological patterns in the higher order space using an assortment of similar kernels. The results of the genotype are ably supported by several statistical parameters, including the Matthews Correlation Coefficient (MCC), Generalized Correlation Coefficient (GCC) and Kappa Coefficient, which provide the basis for the better performance of wavelet mRVM in comparison to the PCA technique. The higher sparsity achieved due to the wavelet features due to the reduction in the hyperparameters by 30% seals the fate of wavelets as the ideal classifier for radial pulse data. The morphological patterns are observed in normal subjects and those with heart, liver and lung diseases.","PeriodicalId":38104,"journal":{"name":"International Journal on Communications Antenna and Propagation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136365279","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

Probabilistic Reputation-Based Authentication Approach in VANET VANET中基于信誉的概率认证方法

International Journal on Communications Antenna and Propagation Pub Date : 2023-04-30 DOI: 10.15866/irecap.v13i2.22900

Tamara Al-Zyoud, Ramzi R. Saifan

引用次数: 0

A Microstrip on Planar Antenna Designs for Cognitive Radio Applications 认知无线电应用中的微带平面天线设计

International Journal on Communications Antenna and Propagation Pub Date : 2023-04-30 DOI: 10.15866/irecap.v13i2.22277

O. J. Ibrahim, Mohammad Zidan, Bilal Al-Doori, M. Taha, N. Islam

引用次数: 0

Simulation Design of Different Rectangular Horn Antenna Shapes Operating at 28 GHz Using CST and HFSS Techniques 基于CST和HFSS技术的28 GHz不同矩形喇叭天线仿真设计

International Journal on Communications Antenna and Propagation Pub Date : 2023-04-30 DOI: 10.15866/irecap.v13i2.22857

Skala Hatam Mohammed, M. M. Ameen, S. O. Hasan

引用次数: 0