International Journal of Electronics and Telecommunications最新文献_第9页

Rotary Telemetry System for Temperature Measurements in Aircraft Component Testing 飞机部件测试中温度测量的旋转遥测系统

International Journal of Electronics and Telecommunications Pub Date : 2023-11-06 DOI: 10.24425/ijet.2022.141274

引用次数: 1

Precision Calculations of the Characteristic Impedance of Complex Coaxial Waveguides Used in Wideband Thermal Converters of AC Voltage and Current 宽带交流电压和电流热变换器中复杂同轴波导特性阻抗的精确计算

International Journal of Electronics and Telecommunications Pub Date : 2023-11-06 DOI: 10.24425/ijet.2022.141270

{"title":"Precision Calculations of the Characteristic Impedance of Complex Coaxial Waveguides Used in Wideband Thermal Converters of AC Voltage and Current","authors":"","doi":"10.24425/ijet.2022.141270","DOIUrl":"https://doi.org/10.24425/ijet.2022.141270","url":null,"abstract":"— The article presents precision and numerically stable method of calculation of the characteristic impedance of cylindrical multilayer waveguides used in high-precision wideband measuring instruments and standards, especially calculable thermal converters of AC voltage and precision wideband current shunts. Most of currently existing algorithms of characteristic impedance calculation of such waveguides are based upon approximations. Unfortunately, application of such methods is limited to waveguides composed of a specific, usually low number of layers. The accuracy of approximation methods as well as the number of layers is sometimes not sufficient, especially when the coaxial waveguide is a part of precision measurement equipment. The article presents the numerically stable matrix analytical formula using exponentially scaled modified Bessel functions to compute characteristic impedance and its components of the cylindrical coaxial multilayer waveguides. Results obtained with the developed method were compared with results of simulations made using the Finite Element Method (FEM) software simulations. Very good agreement between results of those two methods were achieved.","PeriodicalId":13922,"journal":{"name":"International Journal of Electronics and Telecommunications","volume":"21 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":"135684237","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

Development of Methodological, Hardware, and Software of the Incoherent Scatter Radar of Institute of Ionosphere (Kharkiv, Ukraine) 电离层研究所（乌克兰哈尔科夫）非相干散射雷达方法、硬件和软件的开发

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146510

Leonid Emelyanov

引用次数: 0

Novel Hybrid Model Investing in 5G Network Optimization Under Suzuki Fading Channel 铃木衰落信道下投资5G网络优化的新型混合模型

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146506

引用次数: 0

Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link 基于软件定义无线电的非相干OFDM无线链路性能研究

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146504

Nandana Narayana, Pallaviram Sure

{"title":"Performance of a Software Defined Radio based Non-Coherent OFDM Wireless Link","authors":"Nandana Narayana, Pallaviram Sure","doi":"10.24425/ijet.2023.146504","DOIUrl":"https://doi.org/10.24425/ijet.2023.146504","url":null,"abstract":"— With improved technological successions, wireless communication applications have been incessantly evolving. Owing to the challenges posed by the multipath wireless channel, radio design prototypes have become elemental in all wireless systems before deployment. Further, different signal processing requirements of the applications, demand a highly versatile and reconfigurable radio such as Software Defined Radio (SDR) as a crucial device in the design phase. In this paper, two such SDR modules are used to develop an Orthogonal Frequency Division Multiplexing (OFDM) wireless link, the technology triumphant ever since 4G. In particular, a non-coherent end-to-end OFDM wireless link is developed in the Ultra High Frequency (UHF) band at a carrier frequency of 470 MHz. The transmitter includes Barker sequences as frame headers and pilot symbols for channel estimation. At the receiver, pulse alignment using Max energy method, frame synchronization using sliding correlator approach and carrier offset correction using Moose algorithm are incorporated. In addition, wireless channel is estimated using Least Square (LS) based pilot aided channel estimation approach with denoising threshold and link performance is analyzed using average Bit Error Rate (BER), in different pilot symbol scenarios. In a typical laboratory environment, the results of BER versus receiver gain show that with 4 pilot symbols out of 128 carriers, at a gain of 20 dB, BER is 0.160922, which is reduced to 0.136884 with 16 pilot symbols. The developed link helps OFDM researchers to mitigate different challenges posed by the wireless environment and thereby strengthen OFDM technology.","PeriodicalId":13922,"journal":{"name":"International Journal of Electronics and Telecommunications","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48721707","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

Overcoming Overfitting Challenges with HOG Feature Extraction and XGBoost-Based Classification for Concrete Crack Monitoring 基于HOG特征提取和xgboost的混凝土裂缝监测分类克服过拟合挑战

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146509

I. Barkiah, Yuslena Sari

{"title":"Overcoming Overfitting Challenges with HOG Feature Extraction and XGBoost-Based Classification for Concrete Crack Monitoring","authors":"I. Barkiah, Yuslena Sari","doi":"10.24425/ijet.2023.146509","DOIUrl":"https://doi.org/10.24425/ijet.2023.146509","url":null,"abstract":"— This study proposes a method that combines Histogram of Oriented Gradients (HOG) feature extraction and Extreme Gradient Boosting (XGBoost) classification to resolve the challenges of concrete crack monitoring. The purpose of the study is to address the common issue of overfitting in machine learning models. The research uses a dataset of 40,000 images of concrete cracks and HOG feature extraction to identify relevant patterns. Classification is performed using the ensemble method XGBoost, with a focus on optimizing its hyperparameters. This study evaluates the efficacy of XGBoost in comparison to other ensemble methods, such as Random Forest and AdaBoost. XGBoost outperforms the other algorithms in terms of accuracy, precision, recall, and F1-score, as demonstrated by the results. The proposed method obtains an accuracy of 96.95% with optimized hyperparameters, a recall of 96.10%, a precision of 97.90%, and an F1-score of 97%. By optimizing the number of trees hyperparameter, 1200 trees yield the greatest performance. The results demonstrate the efficacy of HOG-based feature extraction and XGBoost for accurate and dependable classification of concrete fractures, overcoming the overfitting issues that are typically encountered in such tasks.","PeriodicalId":13922,"journal":{"name":"International Journal of Electronics and Telecommunications","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44646072","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

Students’ View of Quantum Information Technologies 学生对量子信息技术的看法

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146503

Lipiński, Adrian Z. Sarwiński, Arkadiusz Sowa, Jakub K. Turliński

引用次数: 0

Assessment of iPerf as a Tool for LAN Throughput Prediction iPerf作为局域网吞吐量预测工具的评估

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146501

Bartłomiej Zieliński

引用次数: 0

Local Generating Map System Using Rviz ROS and Kinect Camera for Rescue Robot Application 基于Rviz ROS和Kinect摄像头的局部生成地图系统在救援机器人中的应用

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146516

S. Muharom, R. A. Firmansyah

引用次数: 0

Toxic Gases Detection and Tolerance Level Classification Using Machine Learning Algorithms 使用机器学习算法的有毒气体检测和容忍等级分类

IF 0.7

International Journal of Electronics and Telecommunications Pub Date : 2023-09-01 DOI: 10.24425/ijet.2023.146498

S. Deepan, M. Saravanan

{"title":"Toxic Gases Detection and Tolerance Level Classification Using Machine Learning Algorithms","authors":"S. Deepan, M. Saravanan","doi":"10.24425/ijet.2023.146498","DOIUrl":"https://doi.org/10.24425/ijet.2023.146498","url":null,"abstract":"— with rapid population increases, people are facing the challenge to maintain healthy conditions. One of the challenges is air pollution. Due to industrial development and vehicle usage air pollution is becoming a high threat to human life. This air pollution forms through various toxic contaminants. This toxic contamination levels increase and cause severe damage to the living things in the environment. To identify the toxic level present in the polluted air various methods were proposed by the authors, But failed to detect the tolerance level of toxic gases. This article discusses the methods to detect toxic gasses and classify the tolerance level of gasses present in polluted air. Various sensors and different algorithms are used for classifying the tolerance level. For this purpose “Artificial Sensing Methodology” (ASM), commonly known as e-nose, is a technique for detecting harmful gases. SO2-D4, NO2-D4, MQ-135, MQ136, MQ-7, and other sensors are used in artificial sensing methods (e-nose). “Carbon monoxide, Sulfur dioxide, nitrogen dioxide, and carbon dioxide” are all detected by these sensors. The data collected by sensors is sent to the data register from there it is sent to the Machine learning Training module (ML) and the comparison is done with real-time data and trained data. If the values increase beyond the tolerance level the system will give the alarm and release the oxygen.","PeriodicalId":13922,"journal":{"name":"International Journal of Electronics and Telecommunications","volume":" ","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46573751","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