IEEE Access最新文献

Corrections to “Fuzzy Logic-Based Substitution-Box for Robust Medical Image Encryption in Telemedicine”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-04-01 DOI: 10.1109/ACCESS.2025.3553991

Abdul Razaq;Louai A. Maghrabi;Musheer Ahmad;Farrah Aslam;Wei Feng

引用次数: 0

Corrections to “SSDWSN: A Scalable Software-Defined Wireless Sensor Networks”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-04-01 DOI: 10.1109/ACCESS.2025.3554084

Mohammed Alsaeedi;Mohd Murtadha Mohamad;Anas Al-Roubaiey

引用次数: 0

Corrections to “An Integrated Queuing Network Model for Optimizing Multi-Level AVS/RS Performance in Multi-Floor Manufacturing Environments”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-04-01 DOI: 10.1109/ACCESS.2025.3552249

Xuanrui Chen;Xiao-Peng Liu;Ai-Lin Yu

引用次数: 0

Corrections to “On the In Vivo Recognition of Kidney Stones Using Machine Learning”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-04-01 DOI: 10.1109/ACCESS.2025.3554065

Francisco Lopez-Tiro;Vincent Estrade;Jacques Hubert;Daniel Flores-Araiza;Miguel Gonzalez-Mendoza;Gilberto Ochoa-Ruiz;Christian Daul

引用次数: 0

Corrections to “Pest Identification Based on Fusion of Self-Attention With ResNet”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-04-01 DOI: 10.1109/ACCESS.2025.3553995

SK Mahmudul Hassan;Arnab Kumar Maji

引用次数: 0

Proximal LSSVR of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-03-31 DOI: 10.1109/ACCESS.2025.3555580

Ting Zhou;Shiguang Zhang

{"title":"Proximal LSSVR of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting","authors":"Ting Zhou;Shiguang Zhang","doi":"10.1109/ACCESS.2025.3555580","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3555580","url":null,"abstract":"Proximal least squares support vector regression (PLSSVR) is a novel regression machine that combines the advantages of proximal support vector regression (PSVR) and least squares support vector regression (LSSVR). It possesses the traits of high efficiency, simplicity, and good generalization ability. This article establishes a new regression model by utilizing the above model frameworks, called PLSSVR model of heteroscedastic Gauss-Laplacian with mixed-noise-characteristics (PLSSVR-GLMH). The least square method is introduced and the regularization terms <inline-formula> <tex-math>${(1/2)}cdot b_{t} ^{2}$ </tex-math></inline-formula> are added in model PLSSVR-GLMH respectively. It converts inequality constraint problems into simpler equality constraint problems and employs the Augmented Lagrange multiplier method to solve the proposed model. This not only improves the training speed and generalization ability, but also effectively enhances the prediction accuracy. Because the wind-speed forecasting error approximately conforms to the Gauss-Laplacian mixture noise distribution, in the real-world wind-speed dataset, the prediction accuracy of the PLSSVR-GLM model was significantly improved compared to the PLSSVR and LSSVR-GLM models. The experimental results validate the efficacy and practicality of the proposed method.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"56946-56957"},"PeriodicalIF":3.4,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10945315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proposal of Applying Transaction Server to Each Shard in Ethereum

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-03-31 DOI: 10.1109/ACCESS.2025.3556616

Hiroshi Matsuura;Takayuki Fujii

{"title":"Proposal of Applying Transaction Server to Each Shard in Ethereum","authors":"Hiroshi Matsuura;Takayuki Fujii","doi":"10.1109/ACCESS.2025.3556616","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3556616","url":null,"abstract":"A sharding framework has been proposed by Ethereum 2.0, and researchers have tried to enhance its applicability and scalability to real blockchain networks. Each shard can execute transactions requested by users, so the number of transactions dealt with by the shard-based blockchain grows as the number of shards increases. Dealing with cross-shard transactions, however, is a major hindrance to blockchain performance, because each such transaction requires cooperation among different shard validators in the network. Given this background, this paper proposes a novel cross-shard architecture in which each shard has its own transaction server (TS) and each TS has the role of dealing with transaction requests/results coming from different users or different shards. In this architecture, it is possible for each validator to concentrate on dealing with the transactions in its own shard, so there is no need to multicast transaction information to the other shard validators. We describe the proposed cross-shard framework in detail and demonstrate how a cross-shard transaction can be executed using the hierarchically connected smart contract functions. In the proposed architecture, the interactions among different shard validators can be reduced by having each validator select its neighbors from among members of its own shard after each epoch. This frequent change of neighbors for each validator makes it robust against eclipse attacks. In addition, this architecture speeds up the validation process of transactions/blocks in each shard; we show the effect by measuring the block transmission delays in the proposed architecture in a simulation environment.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"56994-57008"},"PeriodicalIF":3.4,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10946172","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BS-BGM: Leveraging Vision Language Models and Shot Boundary for Beat-Synced Video Background Music Generation

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-03-31 DOI: 10.1109/ACCESS.2025.3555297

Yuji Sun;Yunbin Luo;Hao Chen

{"title":"BS-BGM: Leveraging Vision Language Models and Shot Boundary for Beat-Synced Video Background Music Generation","authors":"Yuji Sun;Yunbin Luo;Hao Chen","doi":"10.1109/ACCESS.2025.3555297","DOIUrl":"https://doi.org/10.1109/ACCESS.2025.3555297","url":null,"abstract":"Short videos have emerged as a powerful medium for self-expression and background music (BGM) plays a crucial role in enhancing audience immersion. Existing video-to-audio generation methods struggle to achieve precise alignment with beat-synced dynamic rhythms tailored to video content. To address this challenge, we introduce BS-BGM500, a curated dataset comprising 500 short videos with meticulous synchronization between shot boundaries and audio rhythm changes. This dataset includes comprehensive annotations such as shot boundaries, captions, and rhythm information. Additionally, we propose BS-BGM, a diffusion-based model designed for generating BGMs. By integrating visual and textual features while leveraging shot boundary information as a Boundary Rhythm Bias (BRB), the model achieves dynamic rhythm transitions and ensures seamless alignment with video content. Extensive evaluations on BS-BGM500 and the widely-used BGM909 dataset demonstrate that our method significantly outperforms previous approaches in terms of audio quality, emotional alignment, and beat-synced consistency. This work represents a substantial advancement in automated BGM generation for short videos, bridging the gap between video dynamics and music generation.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"57241-57254"},"PeriodicalIF":3.4,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10945856","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrections to “PMUT and CMUT Devices for Biomedical Applications: A Review”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-03-31 DOI: 10.1109/ACCESS.2025.3554027

Elisabetta Moisello;Lara Novaresi;Eshani Sarkar;Piero Malcovati;Tiago L. Costa;Edoardo Bonizzoni

引用次数: 0

Corrections to “New Power Interface Based on Multi-Dimensional Golden Section Search Algorithm for Power-Hardware-in-the-Loop Applications”

IF 3.4 3区计算机科学

IEEE Access Pub Date : 2025-03-31 DOI: 10.1109/ACCESS.2025.3553774

Juan Constantine;Kuo Lung Lian;You Fang Fan;Chu Ying Xiao;Zhao-Peng He

引用次数: 0