Bulletin of Electrical Engineering and Informatics最新文献_第4页

Exploiting channel state information of WiFi signal for human activity detection: an experimental study 利用 WiFi 信号的信道状态信息检测人类活动：一项实验研究

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6344

Hicham Boudlal, Mohammed Serrhini, Ahmed Tahiri

{"title":"Exploiting channel state information of WiFi signal for human activity detection: an experimental study","authors":"Hicham Boudlal, Mohammed Serrhini, Ahmed Tahiri","doi":"10.11591/eei.v13i2.6344","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6344","url":null,"abstract":"Ubiquitous computing aims to seamlessly integrate computing into our daily lives, and requires reliable information on human activities and state for various applications. In this paper, we propose a device-free human activity recognition system that leverages the rich information behind WiFi signals to detect human activities in indoor environments, including walking, sitting, and standing. The key idea of our system is to use the dynamic features of activities, which we carefully examine and analyze through the characteristics of channel state information. We evaluate the impact of location changes on WiFi signal distribution for different activities and design an activity detection system that employs signal processing techniques to extract discriminative features from wireless signals in the frequency and temporal domains. We implement our system on a single off-the-shelf WiFi device connecting to a commercial wireless access point and evaluate it in laboratory and conference room environments. Our experiments demonstrate the feasibility of using WiFi signals for device-free human activity recognition, which could provide a practical and non-intrusive solution for indoor monitoring and ubiquitous computing applications.","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":"140355924","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

Feature importance for software development effort estimation using multi level ensemble approaches 利用多级集合方法估算软件开发工作量的特征重要性

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5531

K. E. Rao, Pandu Ranga, Vital Terlapu, Paidi Annan Naidu, Tammineni Ravi Kumar, Bala Murali Pydi

{"title":"Feature importance for software development effort estimation using multi level ensemble approaches","authors":"K. E. Rao, Pandu Ranga, Vital Terlapu, Paidi Annan Naidu, Tammineni Ravi Kumar, Bala Murali Pydi","doi":"10.11591/eei.v13i2.5531","DOIUrl":"https://doi.org/10.11591/eei.v13i2.5531","url":null,"abstract":"Feature importance strategy that substantially impacts software development effort estimation (SDEE) can help lower the dimensionality of dataset size. SDEE models developed to estimate effort, time, and wealth required to accomplish a software product on a limited budget are used more frequently by project managers as decision-support tool effort estimation algorithms trained on a dataset containing essential elements to improve their estimation accuracy. Earlier research worked on creating and testing various estimation methods to get accurate. On the other hand, ensemble produces superior prediction accuracy than single approaches. Therefore, this study aims to identify, develop, and deploy an ensemble approach feasible and practical for forecasting software development activities with limited time and minimum effort. This paper proposed a collaborative system containing a multi-level ensemble approach. The first level grabs the optimal features by adopting boosting techniques that impact the decided target; this subset features forward to the second level developed by a stacked ensemble to compute the product development effort concerning lines of code (LOC) and actual. The proposed model yields high accuracy and is more accurate than distinct models.","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":"140356315","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

Golden jackal optimization for economic load dispatch problems with complex constraints 针对具有复杂约束条件的经济负荷调度问题的金豺优化法

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6572

Ramamoorthi Ragunathan, Balamurugan Ramadoss

{"title":"Golden jackal optimization for economic load dispatch problems with complex constraints","authors":"Ramamoorthi Ragunathan, Balamurugan Ramadoss","doi":"10.11591/eei.v13i2.6572","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6572","url":null,"abstract":"This research paper uses the golden jackal optimization (GJO), a novel meta-heuristic algorithm, to address power system economic load dispatch (ELD) problems. The GJO emulates the hunting behavior of golden jackals. GJO algorithm uses the cooperative attacking behavior of golden jackals to tackle complicated optimization problems efficaciously. The objective of ELD problem is to distribute power system load requirement to the different generators with a minimum total fuel cost of generation. ELD problems are highly complex, non-linear, and non-convex optimization problems while considering constraints namely valve point loading effect (VPL) and prohibited operating zones (POZs). The proposed GJO algorithm is applied to solve complex, non-linear, and non-convex ELD problems. Six different test systems having 6, 10, 13, 40, and 140 generators with various constraints are used to validate the usefulness of the suggested GJO method. Simulation outcomes of the test system are compared with various algorithms reported in the algorithms such as particle swarm optimization (PSO), ant colony optimization (ACO), and backtracking search algorithm (BSA). Results show that the proposed GJO algorithm produces minimal fuel cost and has good convergence in solving ELD problems of power system engineering.","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":"140352973","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

Reliability evaluation of non-isolated high gain interleaved DC-DC converter 非隔离式高增益交错直流-直流转换器的可靠性评估

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6585

Subbulakshmy Ramamurthi, P. Ramasamy

引用次数: 0

A novel modified mountain gazelle optimizer for tuning parameter proportional integral derivative of DC motor 用于调整直流电机参数比例积分导数的新型改良瞪羚优化器

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5575

Widi Aribowo, L. Abualigah, Diego Oliva, Aditya Prapanca

引用次数: 0

Image quality evaluation: evaluation of the image quality of actual images by using machine learning models 图像质量评估：利用机器学习模型评估实际图像的图像质量

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5947

Shiva Shankar Reddy, V. R. Maheswara Rao, Kalidindi Sravani, Silpa Nrusimhadri

{"title":"Image quality evaluation: evaluation of the image quality of actual images by using machine learning models","authors":"Shiva Shankar Reddy, V. R. Maheswara Rao, Kalidindi Sravani, Silpa Nrusimhadri","doi":"10.11591/eei.v13i2.5947","DOIUrl":"https://doi.org/10.11591/eei.v13i2.5947","url":null,"abstract":"Evaluating image features is a significant step in image processing in applications like number plate detection, vehicle tracking and many image processing-based applications. Image processing-based applications need accurate parts to get the best outcomes. Feature detection is done based on various feature detection techniques. The proposed system aims to get the best feature detector based on the input images by evaluating the image features. For assessing the image features, the proposed system worked on various descriptors like oriented FAST and rotated brief (ORB), learned arrangements of three patch codes (LATCH), binary robust independent elementary features (BRIEF), and binary robust invariant scalable keypoints (BRISK) to extract and evaluate the features using K-nearest neighbor (KNN)-matching and retrieve the inliers of the matching. Each descriptor produces different matching features and inliers; with the matchings and inliers, the inlier ratio calculates to show the analysis. To increase performance, we also examine adding depth information to descriptors.","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":"140356184","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

Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC 利用自适应迭代学习控制与 PI ABAC 提高活性污泥法的能效

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5095

Maimun Huja Husin, Mohamad Faizrizwan Mohd Sabri, Kismet Anak Hong Ping, Norazlina Bateni, S. Suhaili

引用次数: 0

Elitism-crossover barnacle mating optimization and its application to PID controller design for a buck converter 精选-交叉藤壶配对优化及其在降压转换器 PID 控制器设计中的应用

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.5481

Ahmad Nor Kasruddin Nasir, Mohd Redzuan Ahmad, Muhammad Almaa Anwari Roslan

引用次数: 0

Effective privacy preserving in cloud computing using position aware Merkle tree model 利用位置感知梅克尔树模型在云计算中有效保护隐私

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6636

Shruthi Gangadharaiah, Purohit Shrinivasacharya

{"title":"Effective privacy preserving in cloud computing using position aware Merkle tree model","authors":"Shruthi Gangadharaiah, Purohit Shrinivasacharya","doi":"10.11591/eei.v13i2.6636","DOIUrl":"https://doi.org/10.11591/eei.v13i2.6636","url":null,"abstract":"In this research manuscript, a new protocol is proposed for predicting the available space in the cloud and verifying the security of stored data. The protocol is utilized for learning the available data, and based on this learning, the available storage space is identified, after which the cloud service providers allow for data storage. The Integrity verification separates the private and the public data, which avoids privacy issues. The integration of the private data is done with the help of cloud service providers with respect to the third-party auditing (TPA). Earlier, public key cryptography and bilinear map technologies have been combined by the researchers, but the computation time and costs were high. To secure the integrity of the data storage, the client should execute several computations. Therefore, this research suggests a reliable and effective method called position-aware Merkle tree (PMT), which is implemented for ensuring data integrity. The proposed system uses a PMT that enables the TPA to perform multiple auditing tasks with high efficiency, less computational cost and computation time. Simulation results clearly shows that the developed PMT method consumed 0.00459 milliseconds of computation time, which is limited when compared to the existing models.","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":"140353832","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

Sentiment analysis with hotel customer reviews using FNet 使用 FNet 对酒店客户评论进行情感分析

Bulletin of Electrical Engineering and Informatics Pub Date : 2024-04-01 DOI: 10.11591/eei.v13i2.6301

Shovan Bhowmik, Rifat Sadik, Wahiduzzaman Akanda, Juboraj Roy Pavel

引用次数: 0