IEEE Transactions on Consumer Electronics最新文献_第2页

Harnessing Multimodal Data and Deep Learning for Comprehensive Gait Analysis in Pediatric Cerebral Palsy

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-10-17 DOI: 10.1109/TCE.2024.3482689

Jing Yang;Liangyu Li;Lip Yee Por;Sami Bourouis;Sami Dhahbi;Abdullah Ayub Khan

{"title":"Harnessing Multimodal Data and Deep Learning for Comprehensive Gait Analysis in Pediatric Cerebral Palsy","authors":"Jing Yang;Liangyu Li;Lip Yee Por;Sami Bourouis;Sami Dhahbi;Abdullah Ayub Khan","doi":"10.1109/TCE.2024.3482689","DOIUrl":"https://doi.org/10.1109/TCE.2024.3482689","url":null,"abstract":"Cerebral palsy (CP) is a leading cause of motor dysfunction in children, significantly impacting gait and mobility. Accurate and early diagnosis of gait abnormalities in pediatric CP patients is crucial for effective intervention and management. However, making an early-stage CP diagnosis based only on a single vision modality such as an MRI has many difficulties. Because of the baby’s obstinate movements, the possibility of early recovery, the lack of a single vision modality, and the noisy or absent brain magnetic resonance imaging (MRI) slices, the task is getting harder and harder. This study employed a robust framework that leverages data from multiple sensor modalities, including wearable inertial measurement units (IMUs), pressure-sensitive mats, and motion capture systems integrated with MRI to generate multimodal data. This multimodal data was then processed using convolutional neural networks (CNNs) and long short-term memory (LSTM) networks to capture both spatial and temporal dynamics of gait patterns. In the experimentation, we achieved remarkable results with an accuracy of 95.33%, an AUC of 96.2%, an F1 score of 95.28%, and a misclassification rate of 0.0467. Also, the comparative analysis with state-of-the-art demonstrates that the proposed approach significantly outperforms traditional methods in identifying subtle gait abnormalities, providing a more detailed and accurate assessment of gait deviations in pediatric cerebral palsy patients.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5401-5410"},"PeriodicalIF":4.3,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Image Security via Block Cyclic Construction and DNA-Based LFSR

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-10-15 DOI: 10.1109/TCE.2024.3481260

Subhrajyoti Deb;Abhilash Das;Bhaskar Biswas;Joy Lal Sarkar;Surbhi Bhatia Khan;Saeed Alzahrani;Shalli Rani

{"title":"Enhancing Image Security via Block Cyclic Construction and DNA-Based LFSR","authors":"Subhrajyoti Deb;Abhilash Das;Bhaskar Biswas;Joy Lal Sarkar;Surbhi Bhatia Khan;Saeed Alzahrani;Shalli Rani","doi":"10.1109/TCE.2024.3481260","DOIUrl":"https://doi.org/10.1109/TCE.2024.3481260","url":null,"abstract":"The rapidly growing multimedia image data driven by real-time messaging technologies is particularly evident in applications such as autonomous vehicle tracking, smart cities, surveillance systems and many more. Considering images, data privacy and security are of paramount importance. Yet, many existing methods need to pay more attention to the specific challenges posed by chaotic maps, such as limited parameter coverage and insufficient chaotic behaviour. We present a novel method for image encryption that combines a cyclic block function during the confusion phase and a DNA-based Linear Feedback Shift Register (LFSR) in the diffusion phase to render the final cipher image. This process involves diagonal cyclic shifting and swapping of pixel blocks to minimize pixel correlation. DNA cryptography-based LFSR is particularly efficacious in high-quality pseudorandom number generation due to its robust statistical effects. Besides that, DNA-based operations improve the encryption speed, making the process more efficient. The proposed cryptosystem is validated through several methods, including histogram analysis, correlation assessment, entropy measurement, key sensitivity evaluation, and \u0000<inline-formula> <tex-math>$chi ^{2}$ </tex-math></inline-formula>\u0000 testing. Our algorithm offers superior security and efficiency, outperforming established schemes in terms of security and robustness.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5516-5523"},"PeriodicalIF":4.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Twins and Blockchain Fusion for Security in Metaverse-Driven Consumer Supply Chains 数字孪生和区块链融合促进元宇宙驱动的消费供应链安全

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-10-09 DOI: 10.1109/TCE.2024.3477297

Pushpita Chatterjee;Debashis Das;Danda B. Rawat;Uttam Ghosh;Sourav Banerjee;Mohammed S. Al-Numay

{"title":"Digital Twins and Blockchain Fusion for Security in Metaverse-Driven Consumer Supply Chains","authors":"Pushpita Chatterjee;Debashis Das;Danda B. Rawat;Uttam Ghosh;Sourav Banerjee;Mohammed S. Al-Numay","doi":"10.1109/TCE.2024.3477297","DOIUrl":"https://doi.org/10.1109/TCE.2024.3477297","url":null,"abstract":"In the rapidly growing consumer electronics industry, continuous innovation drives increasing demand for smart devices and advanced gadgets. However, this sector faces changing demands and complex supply chains due to the management of rapid technological advancements and consumer expectations. Seamless communication between suppliers and consumers is essential to optimize production processes, minimize waste, and enhance overall customer satisfaction. In response to these demands, this paper presents a solution that combines Digital Twins (DT) and blockchain to improve security and efficiency in metaverse-inspired consumer-oriented supply chains. Herein, DT is used to represent products in virtual spaces and blockchain secures sensitive information using encryption and access controls. Our objective is to create a transparent, secure, and user-friendly system where consumers and suppliers can interact in real-time to verify product details and access important information of featured tasks like warranties and payment settlement. Smart contracts automates these tasks to make processes faster and more reliable. Through experiments, we tested how well the system maintains product integrity, authenticates transactions, and supports consumer-oriented supply chain (CSC) operations. Comparative analysis shows that our approach improves security, performance, and scalability over existing methods. Furthermore, the proposed system not only enhances security, trust, and transparency in CSC but also sets a higher standard for consumer demands and satisfaction. The findings point to the potential solution for future innovations in metaverse-driven CSC management systems.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5688-5697"},"PeriodicalIF":4.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

6GTelMED: Resources Recommendation Framework on 6G-Enabled Distributed Telemedicine Using Edge-AI

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-10-07 DOI: 10.1109/TCE.2024.3473291

Syed Thouheed Ahmed;Kiran Kumari Patil;Sreedhar Kumar S.;Rajesh Kumar Dhanaraj;Surbhi Bhatia Khan;Saeed Alzahrani;Shalli Rani

{"title":"6GTelMED: Resources Recommendation Framework on 6G-Enabled Distributed Telemedicine Using Edge-AI","authors":"Syed Thouheed Ahmed;Kiran Kumari Patil;Sreedhar Kumar S.;Rajesh Kumar Dhanaraj;Surbhi Bhatia Khan;Saeed Alzahrani;Shalli Rani","doi":"10.1109/TCE.2024.3473291","DOIUrl":"https://doi.org/10.1109/TCE.2024.3473291","url":null,"abstract":"Telemedicine infrastructure is enhanced in recent times and applications developed have adopted base-line networking standards according to 4G/5G and LTE. The major challenge in exiting infrastructural setups is higher-latency and exposed privacy of resources and sensitive information. In this manuscript, we have proposed a 6G enabled resource recommendation framework for telemedicine. The framework is developed on the Edge-AI computational principles to cater the needs and demands of medical devices associated in telemedicine. The approach is to customize the network via Distributed Telemedicine Network (DTN) protocol for edge-devices such IoT/IoMT and medical consumers’ calibration on an existing TelMED protocol of dynamic resource allocation. The DTN aims to generate a resource recommendation stack for incoming user demand via 6G spectrum. The edge-AI framework supports resources allocation with minimal latency and delay and improved privacy of data under the operations. The framework further interfaces the Industry 5.0 applications and consumer demands for effective resources allocation, scheduling and monitoring.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5524-5532"},"PeriodicalIF":4.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142844292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain-Based Secure 5G/6G Communication for Internet of Things Devices in Consumer Electronic Systems 基于区块链的安全 5G/6G 通信，用于消费电子系统中的物联网设备

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-23 DOI: 10.1109/TCE.2024.3454299

Lulwah M. Alkwai;Kusum Yadav

引用次数: 0

LALDM: A Multimodal Aspect Level Text Analysis Method and Its Application in Online Consumer Electronics LALDM：一种多模态方面级文本分析方法及其在在线消费电子产品中的应用

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-17 DOI: 10.1109/tce.2024.3456792

Rui Li, Liwei Shao, Lei La, Yi Yang

引用次数: 0

ECCPM: An Efficient Internal Data Migration Scheme for Flash Memory Systems ECCPM：闪存系统的高效内部数据迁移方案

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-13 DOI: 10.1109/tce.2024.3459892

Haihua Hu, Guojun Han, Wenhua Wu, You Zhou, Chang Liu

引用次数: 0

Improved Shunt Active Filter for Non-Ideal Grid Using Model Predictive and Sliding Mode Control 利用模型预测和滑模控制改进非理想电网并联有源滤波器

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-13 DOI: 10.1109/tce.2024.3460736

Abinash Rath, Bhanu Pratap Behera, Basant Kumar Sethi

引用次数: 0

Modeling and Evaluating the Performance of a Split-Gate T-Shape Channel DM DPDG-TFET Biosensor for Label-Free Detection 为用于无标签检测的分路栅极 T 形通道 DM DPDG-TFET 生物传感器建模并评估其性能

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-13 DOI: 10.1109/tce.2024.3459959

Kondavitee Girija Sravani, Rapolu Anil Kumar, Karumuri Srinivasa Rao, Damodar Reddy Edla, Srikanth Jannu, Ahmed Alkhayyat, Anand Kumar Mishra

引用次数: 0

Co-Training-Based Personalized Federated Learning With Generative Adversarial Networks for Enhanced Mobile Smart Healthcare Diagnosis 基于协同训练的个性化联合学习与生成式对抗网络，用于增强型移动智能医疗诊断

IF 4.3 2区计算机科学

IEEE Transactions on Consumer Electronics Pub Date : 2024-09-13 DOI: 10.1109/TCE.2024.3460469

Arikumar K. Selvaraj;Sahaya Beni Prathiba;A. Deepak Kumar;R. Dhanalakshmi;Thippa Reddy Gadekallu;Gautam Srivastava

{"title":"Co-Training-Based Personalized Federated Learning With Generative Adversarial Networks for Enhanced Mobile Smart Healthcare Diagnosis","authors":"Arikumar K. Selvaraj;Sahaya Beni Prathiba;A. Deepak Kumar;R. Dhanalakshmi;Thippa Reddy Gadekallu;Gautam Srivastava","doi":"10.1109/TCE.2024.3460469","DOIUrl":"10.1109/TCE.2024.3460469","url":null,"abstract":"The widespread implementation of Artificial Itelligence (AI) has led to significant advancements in disease diagnosis. Personalized Federated Learning (FL) trains models tailored to each patient’s needs but often overlooks model architecture heterogeneity. We propose a novel Co-training-based personalized FL with Generative Adversarial Networks (GANs) for Smart Healthcare Diagnosis (CFG-SHD). This approach allows privacy-preserving participation in FL by enabling patients to keep their model architectures and parameters private. Key contributions include integrating co-training into FL for leveraging multiple data views and using GANs to generate synthetic data, ensuring data privacy. By addressing model architecture heterogeneity our approach offers a robust solution for personalized healthcare diagnostics, aligning with the diverse needs of modern healthcare systems and advancing patient-centric AI applications. CFG-SHD enhances personalized diagnosis accuracy, achieving 97.16%, 98.04%, and 97.88% on the PAD-UFES-20, HAM10000, and PH2 datasets, respectively.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"6131-6139"},"PeriodicalIF":4.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142258684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0