Bulletin of Electrical Engineering and Informatics最新文献_第2页

Palembang songket fabric motif image detection with data augmentation based on ResNet using dropout 基于 ResNet 的 Palembang songket 织物图案图像检测与使用 dropout 的数据增强技术

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6883

Ermatita Ermatita, Handrie Noprisson, Abdiansah Abdiansah

{"title":"Palembang songket fabric motif image detection with data augmentation based on ResNet using dropout","authors":"Ermatita Ermatita, Handrie Noprisson, Abdiansah Abdiansah","doi":"10.11591/eei.v13i3.6883","DOIUrl":"https://doi.org/10.11591/eei.v13i3.6883","url":null,"abstract":"A good way to spread knowledge about Palembang songket woven cloth patterns is to use information technology, especially artificial intelligence technology. This study's main goal is to develop a ResNet model with dropout regularization methods and find out how dropout regularization affects the ResNet model for detecting Palembang songket fabric motif with more data. Data was collected in places like tujuh saudara songket, Zainal songket, songket PaSH, AMS songket, and batik, Ernawati songket, Nabilah collections, Ilham songket, and Marissa songket. We used eight class of data for this research. A dataset of 7,680 data for training, 960 data for validation, and 960 data for testing is a dataset that has been prepared to be implemented in experiments. In the final results, the experimental results for DResNet demonstrated that accuracy at the training stage was 92.16%, accuracy at the validation stage was 78.60%, and accuracy at the submission stage was 80.3%. The experimental results also show that dropouts are able to increase the accuracy of the ResNet model by adding +1.10% accuracy in the training process, adding +1.80% accuracy in the validation process, and adding +0.40% accuracy in the testing process.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"2 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229070","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

System interactive reader using eye-tracker technology in ebook reader 在电子书阅读器中使用眼动跟踪技术的系统交互式阅读器

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.5877

Herry Sujaini, Novi Safriadi, Dian Khairiyah

{"title":"System interactive reader using eye-tracker technology in ebook reader","authors":"Herry Sujaini, Novi Safriadi, Dian Khairiyah","doi":"10.11591/eei.v13i3.5877","DOIUrl":"https://doi.org/10.11591/eei.v13i3.5877","url":null,"abstract":"Interest in using ebooks by the academic community is very high. Still, there is a problem when readers are reading through screens, tend to read fast, only scan the necessary parts, and don't focus on paying attention to the content they read, so this reduces the quality of reading because readers don't study the overall meaning of the sentence. Hence, this research aims to build an interactive reader system by integrating eye tracker technology with a webcam which is expected to solve the problem of decreasing the quality of reading through the screen by helping readers stay focused on their reading and providing an interactive system that makes it easier for readers to control the computer while reading. This research adopts the waterfall method and is divided into six stages. The system is designed using class diagrams, use case diagrams, and activity diagrams. Also, the system is built using the Python language with the Django framework. Then, the interactive reader system was tested using black box testing and usability testing methods. Based on the test results, it is shown that the interactive reader system that was built can help improve the quality and concentration when reading activities take place.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"7 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229352","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 discernment of round-robin vs SD-WAN load-balancing performance for campus area network 校园区域网络轮循与 SD-WAN 负载平衡性能对比分析

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.5945

Anazel P. Gamilla, Anjela C. Tolentino, Reina T. Payongayong

{"title":"A discernment of round-robin vs SD-WAN load-balancing performance for campus area network","authors":"Anazel P. Gamilla, Anjela C. Tolentino, Reina T. Payongayong","doi":"10.11591/eei.v13i3.5945","DOIUrl":"https://doi.org/10.11591/eei.v13i3.5945","url":null,"abstract":"Efficient load balancing is crucial for optimizing network performance and ensuring seamless connectivity in modern campus area networks (CANs). With the proliferation of data-intensive applications and the increasing reliance on cloud-based services, organizations are seeking effective load-balancing solutions to distribute network traffic evenly across available resources. The continuous improvement of devices, tools, and techniques to cater a large amount of network traffic, started to be employed on different campuses. Understanding the best approach to maximize the utilization of the network resources is crucial in order to stabilize and maintain the network. The study aims to discern the round-robin and software defined-wide area network (SD-WAN) techniques based on defined metrics and conducted with a predefined payload for commonly used application conditions. The analysis shows that SD-WAN delivers a much superior performance than round-robin based on the criteria. The local area network (LAN) test shows difference between the two types of technology for the three given metrics. The WAN test shows that the round-robin has higher packet loss, latency, and jitter than the SD-WAN technology. While round-robin may suffice for small-scale deployments with relatively homogeneous traffic patterns, SD-WAN offers more sophisticated capabilities for larger CANs with diverse application workloads and distributed locations.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"6 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230220","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

Compact dual-band antenna design for sub-6 GHz 5G application 用于 6GHz 以下 5G 应用的紧凑型双频天线设计

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.7521

Mahesh Kadu, Ramesh Pawase, Pankaj Chitte, V. Ubale

引用次数: 0

Long-term performance analysis of operational efficiency of a grid-connected solar power plant under Mauritania climate 毛里塔尼亚气候条件下并网太阳能电站运行效率的长期性能分析

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.7092

Issa Cheikh Elhassene, Bamba El Heiba, Teyeb Med Mahmoud, Zoubir Aoulmi, Issakha Youm, Abdelkader Mahmoud

{"title":"Long-term performance analysis of operational efficiency of a grid-connected solar power plant under Mauritania climate","authors":"Issa Cheikh Elhassene, Bamba El Heiba, Teyeb Med Mahmoud, Zoubir Aoulmi, Issakha Youm, Abdelkader Mahmoud","doi":"10.11591/eei.v13i3.7092","DOIUrl":"https://doi.org/10.11591/eei.v13i3.7092","url":null,"abstract":"This work examines a solar power plant connected to the Nouakchott electricity grid in Mauritania. Operating since 2013, the 15 MWp plant's reliability and energy yield have been evaluated using a performance index. The assessment involves three phases. First, the plant's meteorological environment and technical indicators are presented. In the second phase, mathematical performance models specified by the International Energy Agency (IEA) are applied to calculate performance indices using data from the data acquisition system (SCADA). The third phase compares actual production data for 2015, 2017, and 2020 with results simulated for PVsyst for the same years. The obtained results are thoroughly analyzed to highlight relevant physical phenomena. The analysis focuses on the plant's 7-year operating period and its impact on performance indicators for electricity production fed into the grid. This study provides insights into the solar power plant's reliability and energy yield, aiding future operational enhancements. It underscores the importance of performance monitoring and assessment in optimizing solar power generation systems.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"47 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141231544","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

Bangla handwritten word recognition using YOLO V5 使用 YOLO V5 识别孟加拉语手写单词

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6953

Md. Anwar Hossain, A. Abadin, Md. Omar Faruk, Iffat Ara, Mirza Afm Rashidul Hasan, Nafiul Fatta, Md Asraful, Ebrahim Hossen

{"title":"Bangla handwritten word recognition using YOLO V5","authors":"Md. Anwar Hossain, A. Abadin, Md. Omar Faruk, Iffat Ara, Mirza Afm Rashidul Hasan, Nafiul Fatta, Md Asraful, Ebrahim Hossen","doi":"10.11591/eei.v13i3.6953","DOIUrl":"https://doi.org/10.11591/eei.v13i3.6953","url":null,"abstract":"This research paper presents an innovative solution for offline handwritten word recognition in Bengali, a prominent Indic language. The complexities of this script, particularly in cursive writing, often lead to overlapping characters and segmentation challenges. Conventional methodologies, reliant on individual character recognition and aggregation, are error-prone. To overcome these limitations, we propose a novel method treating the entire document as a coherent entity and utilizing the efficient you only look once (YOLO) model for word extraction. In our approach, we view individual words as distinct objects and employ the YOLO model for supervised learning, transforming object detection into a regression problematic to predict spatially detached bounding boxes and class possibilities. Rigorous training results in outstanding performance, with remarkable box_loss of 0.014, obj_loss of 0.14, and class_loss of 0.009. Furthermore, the achieved mAP_0.5 score of 0.95 and map_0.5:0.95 score of 0.97 demonstrates the model’s exceptional accuracy in detecting and recognizing handwritten words. To evaluate our method comprehensively, we introduce the Omor-Ekush dataset, a meticulously curated collection of 21,300 handwritten words from 150 participants, featuring 141 words per document. Our pioneering YOLO-based approach, combined with the curated Omor-Ekush dataset, represents a significant advancement in handwritten word recognition in Bengali.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"32 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234293","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

Smart irrigation with crop recommendation using machine learning approach 利用机器学习方法推荐作物的智能灌溉

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6103

Anitha Palakshappa, Sowmya Kyathanahalli Nanjappa, Punitha Mahadevappa, Sinchana Sinchana

引用次数: 0

A novel method of detecting malware on Android mobile devices with explainable artificial intelligence 利用可解释人工智能检测安卓移动设备恶意软件的新方法

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6986

S. Vanjire, Mohandoss Lakshmi

{"title":"A novel method of detecting malware on Android mobile devices with explainable artificial intelligence","authors":"S. Vanjire, Mohandoss Lakshmi","doi":"10.11591/eei.v13i3.6986","DOIUrl":"https://doi.org/10.11591/eei.v13i3.6986","url":null,"abstract":"The increasing prevalence of malware targeting android mobile devices has raised significant concerns regarding user privacy and security. In response, effective methods for malware classification and detection are crucial to protect users from malicious applications. This paper presents an approach that leverages deep learning techniques and explainable artificial intelligence (XAI) for android mobile malware classification and detection. Convolutional neural networks (CNNs) are deep learning model that has shown impressive performance in several application areas, including image and text classification. In the context of android mobile malware, CNNs have shown promising results in capturing intricate patterns and features inherent in malware samples. By training these models on large datasets of benign and malicious applications, accurate classification can be achieved. To enhance transparency and interpretability, XAI techniques are integrated into the classification process. These techniques provide insights into the decision-making process of the deep learning models, enabling the identification of critical features and characteristics that contribute to the classification results. This research, by combining deep learning and XAI methods, presents a fresh strategy for identifying and categorizing Android malware. This research paper will focus on a fascinating CNN-based malware categorization technique.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"31 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234789","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

Refining disparity maps using deep learning and edge-aware smoothing filter 利用深度学习和边缘感知平滑滤波器完善差异图

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6480

Shamsul Fakhar Abd Gani, M. F. Miskon, R. A. Hamzah, M. Hamid, A. F. Kadmin, A. I. Herman

{"title":"Refining disparity maps using deep learning and edge-aware smoothing filter","authors":"Shamsul Fakhar Abd Gani, M. F. Miskon, R. A. Hamzah, M. Hamid, A. F. Kadmin, A. I. Herman","doi":"10.11591/eei.v13i3.6480","DOIUrl":"https://doi.org/10.11591/eei.v13i3.6480","url":null,"abstract":"Stereo matching algorithm is crucial for applications that rely on three-dimensional (3D) surface reconstruction, producing a disparity map that contains depth information by computing the disparity values between corresponding points from a stereo image pair. In order to yield desirable results, the proposed stereo matching algorithm must possess a high degree of resilience against radiometric variation and edge inconsistencies. In this article convolutional neural network (CNN) is employed in the first stage to generate the raw matching cost, which is subsequently filtered with a bilateral filter (BF) and applied with cross-based cost aggregation (CBCA) during the cost aggregation stage to enhance precision. Winner-take-all (WTA) strategy is implemented to normalise the disparity map values. Finally, the resulting output is subjected to an edge-aware smoothing filter (EASF) to reduce the noise. Due to its resistance to high contrast and brightness, the filter is found to be effective in refining and eliminating noise from the output image. Despite discontinuities like adiron's lost cup handle or artl's shattered rods, this approach, based on experimental research utilizing a Middlebury standard validation benchmark, yields a high level of accuracy, with an average non-occluded error of 6.79%, comparable to other published methods.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"7 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141234116","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

An extreme gradient boost based classification and regression tree for network intrusion detection in IoT 基于极端梯度提升的分类和回归树，用于物联网网络入侵检测

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-06-01 DOI: 10.11591/eei.v13i3.6843

Silpa Chalichalamala, Niranjana Govindan, Ramani Kasarapu

{"title":"An extreme gradient boost based classification and regression tree for network intrusion detection in IoT","authors":"Silpa Chalichalamala, Niranjana Govindan, Ramani Kasarapu","doi":"10.11591/eei.v13i3.6843","DOIUrl":"https://doi.org/10.11591/eei.v13i3.6843","url":null,"abstract":"Nowadays, modern technology includes various devices, networks, and apps from the internet of things (IoT), which consist of both positive and negative impacts on social, economic, and industrial effects. To address these issues, IoT applications and networks require lightweight, quick, and adaptable security solutions. In this sense, solutions based on artificial intelligence and big data analytics can yield positive outcomes in the realm of cyber security. This study presents a method called extreme gradient boost (XGBoost) based classification and regression tree to identify network intrusions in the IoT. This model is ideally suited for application in IoT networks with restricted resource availability because of its distributed structure and builtin higher generalization capabilities. This approach is thoroughly tested using botnet internet of things (BoT-IoT) new-generation IoT security datasets. All trials are conducted in a range of different settings, and a number of performance indicators are used to evaluate the effectiveness of the proposed method. The suggested study's findings provide recommendations and insights for situations involving binary classes and numerous classes. The suggested XGBoost model achieved 99.53% of accuracy in attack detection and 99.51% in precision for binary class and multiclass classifications, respectively.","PeriodicalId":502860,"journal":{"name":"Bulletin of Electrical Engineering and Informatics","volume":"42 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141232728","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