International Journal of Electronics and Communication Engineering最新文献

Interactive CBIR System for Various Similarity Metrics Based on Colour Content of Image 基于图像颜色内容的各种相似度量的交互式 CBIR 系统

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-28 DOI: 10.14445/23488549/ijece-v11i2p101

Shaheen Fatima, Raibagkar R L

引用次数: 0

Leveraging Machine Learning to Predict COVID-19 Vaccination Adoption among Healthcare Professionals in Somalia: A Comparative Analysis 利用机器学习预测索马里医护人员对 COVID-19 疫苗接种的采用情况：比较分析

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p111

Mohamed Abdirahman Addow, Abdikadir Hussein Elmi

引用次数: 0

A Comprehensive Stop-Word Compilation for Kannada Language Processing 用于卡纳达语处理的综合停顿词汇编

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p108

Sowmya M.S, Panduranga Rao M.V

{"title":"A Comprehensive Stop-Word Compilation for Kannada Language Processing","authors":"Sowmya M.S, Panduranga Rao M.V","doi":"10.14445/23488549/ijece-v11i2p108","DOIUrl":"https://doi.org/10.14445/23488549/ijece-v11i2p108","url":null,"abstract":"- In this work, a vital aspect of Kannada Natural Language Processing (NLP) takes the stage, with the construction of a standardized stop-word list emerging as a pioneering endeavor. This essential list serves as a foundation for improving language comprehension and processing activities. The work offers a rigorous technique that includes data gathering, tokenization, and TF-IDF score computation using the IndicCorp Kannada dataset. The study innovatively pioneers the construction of a stop-word list exclusively designed for the Kannada language, a first in this domain. The findings highlight the significance of these stop words and their prospective applications in diverse NLP endeavors, providing the framework for the upcoming construction of a Kannada-specific text summarizing work. The human refinement procedure ensures precision in stop-word compilation while considering inherent subjectivity and dataset-specific restrictions. Importantly, this study not only gives valuable insights into linguistic characteristics but also pioneers an innovative approach for stop-word generation in Kannada, establishing itself as a pioneering effort in this specific area of research. Furthermore, the study goes beyond its immediate findings by offering methodologies for the automated compilation and validation of stop words, thus laying the groundwork for further research. This foresight adds to the ongoing advancement of Kannada NLP methods.","PeriodicalId":289221,"journal":{"name":"International Journal of Electronics and Communication Engineering","volume":"36 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462606","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

Prediction of Crime Rate in Diverse Environs Using Hybrid Classifier 使用混合分类器预测多样化环境中的犯罪率

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p109

Santhosh S, Sugitha N

{"title":"Prediction of Crime Rate in Diverse Environs Using Hybrid Classifier","authors":"Santhosh S, Sugitha N","doi":"10.14445/23488549/ijece-v11i2p109","DOIUrl":"https://doi.org/10.14445/23488549/ijece-v11i2p109","url":null,"abstract":"- Crime is the fear and terror among the populace worldwide. Crime is an inherent component of the hazards we encounter daily. In recent times, the mass media has extensively covered numerous criminal incidents, including theft, rape and sexual offenses, robbery, murder, and kidnappings. Various works have been produced to understand the factors that lead to an individual committing a criminal act, the potential dangers involved, and strategies to prevent it. The crime computation technique aims to forecast crime rates, enabling police officers to avoid such incidents effectively. Based on this, a novel prediction approach utilizing a hybrid classifier is suggested. An evaluation of the proposed method was conducted using several criteria. The performance of this recently constructed hybrid prediction model is evaluated by comparing it with established models such as Genetic Algorithm, Particle Swarm Optimization, and Firefly Algorithm. Various performance measures, including error rate, sensitivity, specificity, precision, and execution time, are used for the comparison. Based on the results, this hybrid model is the most optimal crime prediction model compared to the other current models. The suggested approach is executed using the JAVA programming language.","PeriodicalId":289221,"journal":{"name":"International Journal of Electronics and Communication Engineering","volume":"82 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140461999","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 Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT 利用掩码 R-CNN、RNN 和 MHT 在遮挡情况下揭示人体运动的混合视觉器

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p110

J. Cheltha, Chirag Sharma

{"title":"A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT","authors":"J. Cheltha, Chirag Sharma","doi":"10.14445/23488549/ijece-v11i2p110","DOIUrl":"https://doi.org/10.14445/23488549/ijece-v11i2p110","url":null,"abstract":"- Addressing the intricate challenges of Human Motion Detection (HMD), this research presents a pioneering hybrid methodology integrating advanced computer vision and deep learning techniques. Focused primarily on mitigating the impact of occlusion in visual data, the proposed approach employs a Mask Region-based Convolutional Neural Network (Mask R-CNN) for precise motion segmentation. The dual challenges of self-occlusion and partial-occlusion are specifically targeted. The three-fold strategy encompasses motion segmentation, object classification, and tracking algorithms to discern and identify human motion accurately. Motion segmentation involves isolating the moving object within video frames, followed by object classification utilizing a Recurrent Neural Network (RNN) to determine the human presence and to tune the parameter of RNN; this work introduced a novel hybrid Whale Optimization Algorithm and Red Deer Algorithm (WOA-RDA), which gives better convergence speed with high accuracy. To tackle the persistence of occlusion, particularly self-occlusion, Multiple Hypothesis Tracking (MHT) is introduced for robustly tracking human gestures. An innovative aspect of the proposed approach lies in the integration of an RNN trained with 2D representations of 3D skeletal motion, enhancing the model’s understanding of complex human movements. The proposed methodology is rigorously evaluated on diverse datasets, incorporating scenarios with and without occlusion. Experimental results underscore the effectiveness of the hybrid approach, showcasing its ability to accurately identify human motion under varying conditions, thereby advancing the field of human motion detection.","PeriodicalId":289221,"journal":{"name":"International Journal of Electronics and Communication Engineering","volume":"49 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462412","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

Improved Grid System Control Using Chaotic PSO-Based PR Controller and Modified SEPIC Topology 利用基于混沌 PSO 的 PR 控制器和改进的 SEPIC 拓扑改进电网系统控制

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p112

K. R, Boopathy K

{"title":"Improved Grid System Control Using Chaotic PSO-Based PR Controller and Modified SEPIC Topology","authors":"K. R, Boopathy K","doi":"10.14445/23488549/ijece-v11i2p112","DOIUrl":"https://doi.org/10.14445/23488549/ijece-v11i2p112","url":null,"abstract":"- To meet the increasing demand for electricity, it is necessary to use both conventional and unconventional power sources. One type of Renewable Energy Source that turns solar radiation into electricity is a PV system. However, a combination of low irradiance and bad weather prevents installed Photovoltaic (PV) sources from being used to their maximum capacity. PV systems connected to the utility grid supply power to the grid or receive power from the grid depending on the demand and availability of solar energy. As a significance, this research offers an MPPT technique based on ANN to acquire PV power quickly and to the maximum amount possible with zero oscillation tracking. Moreover, a modified SEPIC converter is used to increase the voltage from PV reduced switch 21 level Multi Level Inverter (MLI) changes the DC output of PV modules into alternating current with an increased number of output levels that is compatible with the grid. A chaotic Particle Swarm Optimization (PSO) Proportional Resonant (PR) controller is used to control MLI efficiently, leading to improved AC supply and efficient grid synchronization. MATLAB validation demonstrates the intended system’s performance, which reveals enhanced converter efficiency with a lower Total Harmonic Distortion (THD) in contrast to state-of-the-art techniques.","PeriodicalId":289221,"journal":{"name":"International Journal of Electronics and Communication Engineering","volume":"38 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462576","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

Multiport Shared Radiator for Signal Transmission of 5G Millimeter Wave Application 用于 5G 毫米波应用信号传输的多端口共享辐射器

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p105

Neetu Agrawal, Sanjay Chouhan, Manish Gupta

引用次数: 0

Analysis of Copy Move Forgery Detection Process by Applying Fuzzy C Means Algorithm Based on Deep Learning in Digital Image Processing 基于深度学习的模糊 C 均值算法在数字图像处理中的应用对复制移动伪造检测过程的分析

International Journal of Electronics and Communication Engineering Pub Date : 2024-02-02 DOI: 10.14445/23488549/ijece-v11i2p106

V. P. Nampoothiri, Sugitha N

{"title":"Analysis of Copy Move Forgery Detection Process by Applying Fuzzy C Means Algorithm Based on Deep Learning in Digital Image Processing","authors":"V. P. Nampoothiri, Sugitha N","doi":"10.14445/23488549/ijece-v11i2p106","DOIUrl":"https://doi.org/10.14445/23488549/ijece-v11i2p106","url":null,"abstract":"- The popularity of digital photos has developed due to technological advancements in the digital environment. Image alteration has become more manageable thanks to powerful and user-friendly photo editing software programs. Therefore, there was a prerequisite to detect the forged part of the image efficiently. Hence, this work emphasizes passive forgery recognition on images tampered by the copy move method, better called Copy Move Forgery Detection (CMFD). Copy Move Forgery (CMF) was fundamentally concerned with covering or repeating one area in a picture by pasting certain regions of a similar picture. Initially, the input digital images were preprocessed through a Gaussian filter to blur the picture to decrease noise. After preprocessing, Multi-Kernel Fuzzy C-Means clustering (MKFCM) was performed to divide the images into numerous clusters to extract the features based on distinctive attributes using the SIFT method. Lastly, with the deep learning technique, the forged parts of the images were detected. The experimental analysis demonstrates that the method was efficient and robust in identifying the forged part of the digital picture, and the performance of the proposed strategy was established on numerous forged pictures.","PeriodicalId":289221,"journal":{"name":"International Journal of Electronics and Communication Engineering","volume":"294 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462430","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

Enhancing Parkinson’s Disease Prognosis with LSTM-Based Deep Learning for Precision Diagnosis and Symptom Trajectory Analysis 利用基于 LSTM 深度学习的精准诊断和症状轨迹分析提高帕金森病预后能力

International Journal of Electronics and Communication Engineering Pub Date : 2024-01-10 DOI: 10.14445/23488549/ijece-v11i1p105

Venu Gopal S V V D, Sanam Siva Ramaraja, Kalli Srinivasa Nageswara Prasad, Viswaprasad Kasetti

引用次数: 0

5G MIMO Antenna Design with Microstrip Patch Antenna 采用微带贴片天线的 5G MIMO 天线设计

International Journal of Electronics and Communication Engineering Pub Date : 2024-01-10 DOI: 10.14445/23488549/ijece-v11i1p103

Neera Agrawal, Kalyan Acharjya, Ramendra Singh

引用次数: 0