Bulletin of Electrical Engineering and Informatics最新文献_第6页

Exploratory analysis on the natural language processing models for task specific purposes 针对特定任务的自然语言处理模型探索性分析

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6360

G. Shidaganti, Rithvik Shetty, Tharun Edara, Prashanth Srinivas, Sai Chandu Tammineni

{"title":"Exploratory analysis on the natural language processing models for task specific purposes","authors":"G. Shidaganti, Rithvik Shetty, Tharun Edara, Prashanth Srinivas, Sai Chandu Tammineni","doi":"10.11591/eei.v13i2.6360","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6360","url":null,"abstract":"Natural language processing (NLP) is a technology that has become widespread in the area of human language understanding and analysis. A range of text processing tasks such as summarisation, semantic analysis, classification, question-answering, and natural language inference are commonly performed using it. The dilemma of picking a model to help us in our task is still there. It’s becoming an impediment. This is where we are trying to determine which modern NLP models are better suited for the tasks set out above in order to compare them with datasets like SQuAD and GLUE. For comparison, BERT, RoBERTa, distilBERT, BART, ALBERT, and text-to-text transfer transformer (T5) models have been used in this study. The aim is to understand the underlying architecture, its effects on the use case and also to understand where it falls short. Thus, we were able to observe that RoBERTa was more effective against the models ALBERT, distilBERT, and BERT in terms of tasks related to semantic analysis, natural language inference, and question-answering. The reason is due to the dynamic masking present in RoBERTa. For summarisation, even though BART and T5 models have very similar architecture the BART model has performed slightly better than the T5 model.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357849","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

Mathematics for 2D face recognition from real time image data set using deep learning techniques 利用深度学习技术从实时图像数据集中识别二维人脸的数学方法

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5424

Ambika G. N., Yeresime Suresh

{"title":"Mathematics for 2D face recognition from real time image data set using deep learning techniques","authors":"Ambika G. N., Yeresime Suresh","doi":"10.11591/eei.v13i2.5424","DOIUrl":"https://doi.org/10.11591/eei.v13i2.5424","url":null,"abstract":"The recognition of human faces poses a complex challenge within the domains of computer vision and artificial intelligence. Emotions play a pivotal role in human interaction, serving as a primary means of communication. This manuscript aims to develop a robust recommendation system capable of identifying individual faces from rasterized images, encompassing features such as eyes, nose, cheeks, lips, forehead, and chin. Human faces exhibit a wide array of emotions, with some emotions, including anger, sadness, happiness, surprise, fear, disgust, and neutrality, being universally recognizable. To achieve this objective, deep learning techniques are leveraged to detect objects containing human faces. Every human face exhibits common characteristics known as Haar features, which are employed to extract feature values from images containing multiple elements. The process is executed through three distinct stages, starting with the initial image and involving calculations. Real-time images from popular social media platforms like Facebook are employed as the dataset for this endeavor. The utilization of deep learning techniques offers superior results, owing to their computational demands and intricate design when compared to classical computer vision methods using OpenCV. The implementation of deep learning is carried out using PyTorch, further enhancing the precision and efficiency of face recognition.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352591","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

Secure Euclidean random distribution for patients’ magnetic resonance imaging privacy protection 保护患者磁共振成像隐私的安全欧氏随机分布

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5989

Ali Jaber Tayh Albderi, Lamjed Ben Said

引用次数: 0

A review of deep learning models (U-Net architectures) for segmenting brain tumors 用于分割脑肿瘤的深度学习模型（U-Net 架构）综述

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6015

Mawj Abdul-Ameer Al-Murshidawy, O. Al-Shamma

{"title":"A review of deep learning models (U-Net architectures) for segmenting brain tumors","authors":"Mawj Abdul-Ameer Al-Murshidawy, O. Al-Shamma","doi":"10.11591/eei.v13i2.6015","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6015","url":null,"abstract":"Highly accurate tumor segmentation and classification are required to treat the brain tumor appropriately. Brain tumor segmentation (BTS) approaches can be categorized into manual, semi-automated, and full-automated. The deep learning (DL) approach has been broadly deployed to automate tumor segmentation in therapy, treatment planning, and diagnosing evaluation. It is mainly based on the U-Net model that has recently attained state-of-the-art performances for multimodal BTS. This paper demonstrates a literature review for BTS using U-Net models. Additionally, it represents a common way to design a novel U-Net model for segmenting brain tumors. The steps of this DL way are described to obtain the required model. They include gathering the dataset, pre-processing, augmenting the images (optional), designing/selecting the model architecture, and applying transfer learning (optional). The model architecture and the performance accuracy are the two most important metrics used to review the works of literature. This review concluded that the model accuracy is proportional to its architectural complexity, and the future challenge is to obtain higher accuracy with low-complexity architecture. Challenges, alternatives, and future trends are also presented.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353109","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 survey to build framework for optimize and secure migration and transmission of cloud data 为建立优化和安全迁移及传输云数据的框架而进行的调查

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5181

Ravinder Bathini, Naresh Vurukonda

引用次数: 0

A novel energy-efficient dynamic programming routing protocol in wireless multimedia sensor networks 无线多媒体传感器网络中的新型节能动态编程路由协议

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5855

E. H. Putra, Muhammad Haikal Satria, Hamid Azwar, Rendy Rianda, Muhammad Saputra, R. S. Darwis

{"title":"A novel energy-efficient dynamic programming routing protocol in wireless multimedia sensor networks","authors":"E. H. Putra, Muhammad Haikal Satria, Hamid Azwar, Rendy Rianda, Muhammad Saputra, R. S. Darwis","doi":"10.11591/eei.v13i2.5855","DOIUrl":"https://doi.org/10.11591/eei.v13i2.5855","url":null,"abstract":"Wireless multimedia sensor networks (WMSNs) have characteristics that may influence the routing decisions, such as limited energy resources, storage and computing capacity. Therefore, a routing optimization needs to be done to match the characteristics of the WMSNs. Existing routing protocols only consider energy efficiency regardless of energy threshold, maximum energy, and link cost collectively as the primary basis of routing. In this work, the energy-efficient dynamic programming (EEDP) protocol is proposed to optimize routing decisions that take into account the energy threshold, the maximum energy, and the link cost. Then, the protocol is compared with the dynamic programming (DP), and the ant colony optimization (ACO) protocol. The simulation results show that the EEDP protocol can improve energy efficiency of nodes and network lifetime of the WMSNs. Then, the EEDP protocol is also implemented into a network topology of 10 NodeMCU ESP32 devices. As a result, the EEDP protocol can work very well by selecting routes based on nodes that have the remaining energy above 50 and has the shortest distance. The average delay in sending data for the entire route for the 10 iterations of sending data is 3.99 seconds.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140354529","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 novel cost-effective power supply model for industrial appliances based on triangular magnetic shunt transformer design 基于三角形磁性并联变压器设计的新型经济高效工业电器电源模型

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6459

M. Lahame, H. Outzguinrimt, R. Oumghar, B. Bahani, M. Chraygane

{"title":"A novel cost-effective power supply model for industrial appliances based on triangular magnetic shunt transformer design","authors":"M. Lahame, H. Outzguinrimt, R. Oumghar, B. Bahani, M. Chraygane","doi":"10.11591/eei.v13i2.6459","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6459","url":null,"abstract":"This paper presents a new design of a magnetic shunt transformer for use in industrial microwave generators. The proposed transformer has a triangular shape and offers several advantages over existing transformer designs, including reduced volume and maintenance costs. We provide a detailed analysis of the transformer's dimensions and an equivalent model of the three-phase high voltage power supply system. The results of this study have significant implications for the field of industrial microwave generator design and could lead to the development of more efficient and costeffective systems. The resulting model is comprised of saturable inductors capable of accounting for the non-linear phenomena of saturation. The power supply is simulated using MATLAB/Simulink with a neuro-fuzzy ANFIS approach. The results are compared to experimental validations of a single-phase reference power supply for a magnetron, validating the proposed power supply. Additionally, the simulation results demonstrate the effectiveness of the proposed design, which outperforms existing transformers in terms of volume, energy efficiency and maintenance costs.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356597","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 the medical diagnosis of COVID-19 with learning based decision support systems 利用基于学习的决策支持系统加强对 COVID-19 的医疗诊断

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6293

Mohammed Berrahal, Mohammed Boukabous, Mimoun Yandouzi, Mounir Grari, Idriss Idrissi

{"title":"Enhancing the medical diagnosis of COVID-19 with learning based decision support systems","authors":"Mohammed Berrahal, Mohammed Boukabous, Mimoun Yandouzi, Mounir Grari, Idriss Idrissi","doi":"10.11591/eei.v13i2.6293","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6293","url":null,"abstract":"Since late December 2019, the COVID-19 pandemic has had substantial impact and long-lasting impact on numerous lives. The surge in patients has overwhelmed hospitals and exhausted essential resources such as masks and gloves. However, in response to this crisis, we have developed a robust solution that can ease the burden on emergency services and manage the influx of patients. Our proposed framework comprises deep learning and machine learning models that can predict and manage patient demand with high accuracy. The first model, is specifically designed to classify computed tomography (CT) scan images for COVID or non-COVID cases. We trained multiple convolutional neural network (CNN) models on a large dataset of CT scan images and evaluated their performance on a separate test set. Our evaluation showed that the ResNet50 model was the most effective, achieving an accuracy of 93.28%. The second model uses patient measurements dataset to predict the likelihood of intensive care unit (ICU) admission for COVID-19 patients. We experimented with the XGBoost machine learning algorithm and found that the accuracy score achieved 88.40%.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140357535","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

IoT-based health information system using MitApp for abnormal electrocardiogram signal monitoring 利用 MitApp 监测异常心电图信号的物联网健康信息系统

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5205

B. Utomo, Triwiyanto Triwiyanto, Sari Luthfiyah, Wahyu Caesarendra, Vijay Anant Athavale

{"title":"IoT-based health information system using MitApp for abnormal electrocardiogram signal monitoring","authors":"B. Utomo, Triwiyanto Triwiyanto, Sari Luthfiyah, Wahyu Caesarendra, Vijay Anant Athavale","doi":"10.11591/eei.v13i2.5205","DOIUrl":"https://doi.org/10.11591/eei.v13i2.5205","url":null,"abstract":"Information systems are currently developing very rapidly, and this is inseparable from the role of internet of things (IoT) technology, especially in the world of telemedicine. MitApp is an open-source application that can be used to monitor electrocardiogram (ECG) signals in real-time. The aim of this study is to develop an IoT-based ECG signal monitoring system that utilizes the MitApp application to detect abnormal ECG signals that are characterized by symptoms of cardiac arrhythmias. To process ECG signal data obtained from lead electrode results, the research method utilizes Arduino Uno as a microcontroller. The result is then displayed on the thin film transistor (TFT) layer using the Nextion module. The ESP32 module is used as a Wi-Fi module to send data to the MitApp app on a smartphone. The results showed that the results of the comparison test of ECG signal module data with ECG simulator tools with beats per minute values of 60, 80, 100, 120, and 140 obtained an error rate of 0.05. Based on these results, there is potential to develop this feature and integrate the system with the patient management system to improve the effectiveness of remote monitoring.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353122","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

Mobile application: awareness of the population on the environmental impact 移动应用程序：提高人们对环境影响的认识

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6131

L. Andrade-Arenas, Margarita Giraldo-Retuerto, Pedro Molina-Velarde, Cesar Yactayo-Arias

{"title":"Mobile application: awareness of the population on the environmental impact","authors":"L. Andrade-Arenas, Margarita Giraldo-Retuerto, Pedro Molina-Velarde, Cesar Yactayo-Arias","doi":"10.11591/eei.v13i2.6131","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6131","url":null,"abstract":"Nowadays, pollution keeps increasing due to social, political, economic, cultural, and environmental factors. Environmental awareness is close to zero because people prioritize personal activities. In that sense, the objective of this investigation is to raise environmental awareness in the population regarding the impact of pollution and support this through a mobile application (APP) that helps reduce pollution. The methodology used was the cascade, and through its phases, it was developed the prototype design of the mobile APP. The results obtained from this hybrid research were through a survey using ATLAS.ti 22; it concluded that environmental awareness begins at home and is taught by the parents, also it should be promoted from elementary school to high school and even in college. Moreover, in a survey, the users stated by 89% that the use of this mobile APP can help reduce the environmental impact. Also, in the validation through expert judgment, all the attributes were accepted with an average of 81%, that of functionality was the lowest, and the highest was that of consistency and integration with 83%. Finally, environmental education should be a priority policy in any country, as this will benefit its population.","PeriodicalId":37619,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353236","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