信息工程最新文献

{"title":"Advanced driver assistance system (ADAS) and machine learning (ML): The dynamic duo revolutionizing the automotive industry","authors":"Harsh SHAH ,&nbsp;Karan SHAH ,&nbsp;Kushagra DARJI ,&nbsp;Adit SHAH ,&nbsp;Manan SHAH","doi":"10.1016/j.vrih.2025.01.002","DOIUrl":"10.1016/j.vrih.2025.01.002","url":null,"abstract":"<div><div>The advanced driver assistance system (ADAS) primarily serves to assist drivers in monitoring the speed of the car and helps them make the right decision, which leads to fewer fatal accidents and ensures higher safety. In the artificial Intelligence domain, machine learning (ML) was developed to make inferences with a degree of accuracy similar to that of humans; however, enormous amounts of data are required. Machine learning enhances the accuracy of the decisions taken by ADAS, by evaluating all the data received from various vehicle sensors. This study summarizes all the critical algorithms used in ADAS technologies and presents the evolution of ADAS technology. Initially, ADAS technology is introduced, along with its evolution, to understand the objectives of developing this technology. Subsequently, the critical algorithms used in ADAS technology, which include face detection, head-pose estimation, gaze estimation, and link detection are discussed. A further discussion follows on the impact of ML on each algorithm in different environments, leading to increased accuracy at the expense of additional computing, to increase efficiency. The aim of this study was to evaluate all the methods with or without ML for each algorithm.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"7 3","pages":"Pages 203-236"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144491471","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}

{"title":"Graph neural network-based transaction link prediction method for public blockchain in heterogeneous information networks","authors":"Zening Zhao ,&nbsp;Jinsong Wang ,&nbsp;Jiajia Wei","doi":"10.1016/j.bcra.2024.100265","DOIUrl":"10.1016/j.bcra.2024.100265","url":null,"abstract":"<div><div>Public blockchain has outstanding performance in transaction privacy protection because of its anonymity. The data openness brings feasibility to transaction behavior analysis. At present, the transaction data of the public chain are huge, including complex trading objects and relationships. It is difficult to extract attributes and predict transaction behavior by traditional methods. To solve these problems, we extract transaction features to construct an Ethereum transaction heterogeneous information network (HIN) and propose a graph neural network (GNN)-based transaction prediction method for public blockchains in HINs, which can divide the network into subgraphs according to connectivity and increase the accuracy of the prediction results of transaction behavior. Experiments show that the execution time consumption of the proposed transaction subgraph division method is reduced by 70.61% on average compared with that of the search method. The accuracy of the proposed behavior prediction method also improves compared with that of the traditional random walk method, with an average accuracy of 83.82%.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 2","pages":"Article 100265"},"PeriodicalIF":6.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human joint motion data capture and fusion based on wearable sensors","authors":"Hua Wang","doi":"10.1007/s43684-025-00098-w","DOIUrl":"10.1007/s43684-025-00098-w","url":null,"abstract":"<div><p>The field of human motion data capture and fusion has a broad range of potential applications and market opportunities. The capture of human motion data for wearable sensors is less costly and more convenient than other methods, but it also suffers from poor data capture accuracy and high latency. Consequently, in order to overcome the limitations of existing wearable sensors in data capture and fusion, the study initially constructed a model of the human joint and bone by combining the quaternion method and root bone human forward kinematics through mathematical modeling. Subsequently, the sensor data calibration was optimized, and the Madgwick algorithm was introduced to address the resulting issues. Finally, a novel human joint motion data capture and fusion model was proposed. The experimental results indicated that the maximum mean error and root mean square error of yaw angle of this new model were 1.21° and 1.17°, respectively. The mean error and root mean square error of pitch angle were maximum 1.24° and 1.19°, respectively. The maximum knee joint and elbow joint data capture errors were 3.8 and 6.1, respectively. The suggested approach, which offers a new path for technological advancement in this area, greatly enhances the precision and dependability of human motion capture, which has a broad variety of application possibilities.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-025-00098-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145171149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “A deep decentralized privacy-preservation framework for online social networks”","authors":"Samuel Akwasi Frimpong ,&nbsp;Mu Han ,&nbsp;Emmanuel Kwame Effah ,&nbsp;Joseph Kwame Adjei ,&nbsp;Isaac Hanson ,&nbsp;Percy Brown","doi":"10.1016/j.bcra.2025.100299","DOIUrl":"10.1016/j.bcra.2025.100299","url":null,"abstract":"","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 2","pages":"Article 100299"},"PeriodicalIF":6.9,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antibacterial and anticancer potentials of graphene-silicon nitride nanomaterials-enhanced polymer nanocomposites: advanced characterization and optical behavior insights","authors":"Rawaa A. Abdul-Nabi ,&nbsp;Ehssan Al-Bermany","doi":"10.1016/j.jobb.2025.04.001","DOIUrl":"10.1016/j.jobb.2025.04.001","url":null,"abstract":"<div><div>Hybrid nanomaterials (HNMs) have become more interesting to researchers for various optoelectronic and biological applications. In response, this investigation focuses on the impact of loading ratios of (0, 1 %, 3 %, and 5 %) of HNMs from graphene oxide (GO) and silicon nitride (Si₃N₄). HNMs are utilized to reinforce blended polymers, including polyethylene oxide (PEO), carboxymethyl cellulose (CMC), and nano-polyaniline (PANI) to fabricate (PEO_100K–CMC–PANI/GO–Si₃N₄) using the developed sol–gel-ultrasonic procedure. X-ray diffraction revealed semi-crystalline behavior among all samples, while Fourier transform infrared spectroscopy showed strong physical interfacial interactions among the sample components. Meanwhile, field emission scanning electron and transmission electron microscopies showed a fine dispersion and a homogeneous matrix with significant changes. The optical absorption behavior revealed continuous high absorption peaks at 200–280-nm wavelengths, which strongly impacts (GO–Si₃N₄). Increases in concentration also strongly impact (GO–Si₃N₄), which results in an improved optical energy gap for the allowed and forbidden transitions from 3.5 eV for the blended polymer to 3 and 2.9 eV by increasing the HNM content. The contributions of HNMs notably enhance the ability to reduce the zones of the bacteria, especially <em>Escherichia coli</em>, from 18 to 26 mm. In effect, HNMs with a concentration higher than 5 % assist in inhibiting the growth of lung cancer (A549) cells. As such, these NCs present good optical behavior for multi-applications, such as biosensors and biological and optoelectronic devices.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"7 2","pages":"Pages 55-68"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106954","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}

{"title":"Frequency-informed transformer for real-time water pipeline leak detection","authors":"Fengnian Liu,&nbsp;Ding Wang,&nbsp;Junya Tang,&nbsp;Lei Wang","doi":"10.1007/s43684-025-00094-0","DOIUrl":"10.1007/s43684-025-00094-0","url":null,"abstract":"<div><p>Water pipeline leaks pose significant risks to urban infrastructure, leading to water wastage and potential structural damage. Existing leak detection methods often face challenges, such as heavily relying on the manual selection of frequency bands or complex feature extraction, which can be both labour-intensive and less effective. To address these limitations, this paper introduces a Frequency-Informed Transformer model, which integrates the Fast Fourier Transform and self-attention mechanisms to enhance water pipe leak detection accuracy. Experimental results show that FiT achieves 99.9% accuracy in leak detection and 98.7% in leak type classification, surpassing other models in both accuracy and processing speed, with an efficient response time of 0.25 seconds. By significantly simplifying key features and frequency band selection and improving accuracy and response time, the proposed method offers a potential solution for real-time water leak detection, enabling timely interventions and more effective pipeline safety management.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-025-00094-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear optimal control for the five-axle and three-steering coupled-vehicle system","authors":"G. Rigatos,&nbsp;M. Abbaszadeh,&nbsp;K. Busawon,&nbsp;P. Siano,&nbsp;M. Al Numay,&nbsp;G. Cuccurullo,&nbsp;F. Zouari","doi":"10.1007/s43684-025-00097-x","DOIUrl":"10.1007/s43684-025-00097-x","url":null,"abstract":"<div><p>Transportation of heavy loads is often performed by multi-axle multi-steered heavy duty vehicles In this article a novel nonlinear optimal control method is applied to the kinematic model of the five-axle and three-steering coupled vehicle system. First, it is proven that the dynamic model of this articulated multi-vehicle system is differentially flat. Next. the state-space model of the five-axle and three-steering vehicle system undergoes approximate linearization around a temporary operating point that is recomputed at each time-step of the control method. The linearization is based on Taylor series expansion and on the associated Jacobian matrices. For the linearized state-space model of the five-axle and three-steering vehicle system a stabilizing optimal (H-infinity) feedback controller is designed. This controller stands for the solution of the nonlinear optimal control problem under model uncertainty and external perturbations. To compute the controller’s feedback gains an algebraic Riccati equation is repetitively solved at each iteration of the control algorithm. The stability properties of the control method are proven through Lyapunov analysis. The proposed nonlinear optimal control approach achieves fast and accurate tracking of setpoints under moderate variations of the control inputs and minimal dispersion of energy by the propulsion and steering system of the five-axle and three-steering vehicle system.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-025-00097-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143861351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cybersecurity challenges in blockchain-based social media networks: A comprehensive review","authors":"Muhammad Hasnain ,&nbsp;Imran Ghani ,&nbsp;David Smith ,&nbsp;Ali Daud ,&nbsp;Seung Ryul Jeong","doi":"10.1016/j.bcra.2025.100290","DOIUrl":"10.1016/j.bcra.2025.100290","url":null,"abstract":"<div><div>Blockchain is a disruptive technology that has attracted considerable attention from scholars. The blockchain underlies cryptocurrencies and has rapidly expanded to other areas, including financial transactions and social media networks. However, concerns regarding the information security of social media users still exist regarding blockchain technology. The literature on blockchain online social media (BOSM) networks is growing rapidly because of their critical role in securing users’ information privacy and security. Cybersecurity remains a challenge faced by users on social media networks. Since the publication of BOSM, blockchain has become a widely discussed method for users’ information security. This comprehensive review identifies peer-reviewed articles on BOSM that underpin smart contracts, social media challenges, and research gaps. In this work, Kitchenham’s review guidelines are followed to conduct an in-depth review of the use of blockchain technology in the social media network literature published between January 2016 and March 2024, which reveals a significant increase in publications over the last eight years. A search of major academic databases, including Springer, ScienceDirect, ACM, IEEE Xplore, World Scientific, Taylor &amp; Francis, and Wiley Online, yielded a final pool of 158 articles. The findings of the review indicate key insights concerning the techniques and applications of blockchain technology and challenges for the public via social media networks such as Twitter, Facebook, and Google+. This paper identifies important challenges such as deploying smart contracts, user information privacy, a lack of platform support, users’ reactions to blockchain technology, privacy protection and compensation, security system validation, online disinformation, scalability, and miscellaneous challenges to blockchain technology. Additionally, this review suggests several future research directions to improve the role of blockchain technology in overcoming the challenges of privacy, security, reliability, scalability, and trust in the area of social media networks.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 3","pages":"Article 100290"},"PeriodicalIF":5.6,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multidimensional image morphing-fast image-based rendering of open 3D and VR environments","authors":"Simon Seibt ,&nbsp;Bastian Kuth ,&nbsp;Bartosz von Rymon Lipinski ,&nbsp;Thomas Chang ,&nbsp;Marc Erich Latoschik","doi":"10.1016/j.vrih.2023.06.007","DOIUrl":"10.1016/j.vrih.2023.06.007","url":null,"abstract":"<div><h3>Background</h3><div>In recent years, the demand for interactive photorealistic three-dimensional (3D) environments has increased in various fields, including architecture, engineering, and entertainment. However, achieving a balance between the quality and efficiency of high-performance 3D applications and virtual reality (VR) remains challenging.</div></div><div><h3>Methods</h3><div>This study addresses this issue by revisiting and extending view interpolation for image-based rendering (IBR), which enables the exploration of spacious open environments in 3D and VR. Therefore, we introduce multimorphing, a novel rendering method based on the spatial data structure of 2D image patches, called the image graph. Using this approach, novel views can be rendered with up to six degrees of freedom using only a sparse set of views. The rendering process does not require 3D reconstruction of the geometry or per-pixel depth information, and all relevant data for the output are extracted from the local morphing cells of the image graph. The detection of parallax image regions during preprocessing reduces rendering artifacts by extrapolating image patches from adjacent cells in real-time. In addition, a GPU-based solution was presented to resolve exposure inconsistencies within a dataset, enabling seamless transitions of brightness when moving between areas with varying light intensities.</div></div><div><h3>Results</h3><div>Experiments on multiple real-world and synthetic scenes demonstrate that the presented method achieves high \"VR-compatible\" frame rates, even on mid-range and legacy hardware, respectively. While achieving adequate visual quality even for sparse datasets, it outperforms other IBR and current neural rendering approaches.</div></div><div><h3>Conclusions</h3><div>Using the correspondence-based decomposition of input images into morphing cells of 2D image patches, multidimensional image morphing provides high-performance novel view generation, supporting open 3D and VR environments. Nevertheless, the handling of morphing artifacts in the parallax image regions remains a topic for future research.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"7 2","pages":"Pages 155-172"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864788","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}

{"title":"STDNet: Improved lip reading via short-term temporal dependency modeling","authors":"Xiaoer Wu ,&nbsp;Zhenhua Tan ,&nbsp;Ziwei Cheng ,&nbsp;Yuran Ru","doi":"10.1016/j.vrih.2024.07.003","DOIUrl":"10.1016/j.vrih.2024.07.003","url":null,"abstract":"<div><h3>Background</h3><div>Lip reading uses lip images for visual speech recognition. Deep-learning-based lip reading has greatly improved performance in current datasets; however, most existing research ignores the significance of short-term temporal dependencies of lip-shape variations between adjacent frames, which leaves space for further improvement in feature extraction.</div></div><div><h3>Methods</h3><div>This article presents a spatiotemporal feature fusion network (STDNet) that compensates for the deficiencies of current lip-reading approaches in short-term temporal dependency modeling. Specifically, to distinguish more similar and intricate content, STDNet adds a temporal feature extraction branch based on a 3D-CNN, which enhances the learning of dynamic lip movements in adjacent frames while not affecting spatial feature extraction. In particular, we designed a local–temporal block, which aggregates interframe differences, strengthening the relationship between various local lip regions through multiscale convolution. We incorporated the squeeze-and-excitation mechanism into the Global-Temporal Block, which processes a single frame as an independent unitto learn temporal variations across the entire lip region more effectively. Furthermore, attention pooling was introduced to highlight meaningful frames containing key semantic information for the target word.</div></div><div><h3>Results</h3><div>Experimental results demonstrated STDNet's superior performance on the LRW and LRW-1000, achieving word-level recognition accuracies of 90.2% and 53.56%, respectively. Extensive ablation experiments verified the rationality and effectiveness of its modules.</div></div><div><h3>Conclusions</h3><div>The proposed model effectively addresses short-term temporal dependency limitations in lip reading, and improves the temporal robustness of the model against variable-length sequences. These advancements validate the importance of explicit short-term dynamics modeling for practical lip-reading systems.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"7 2","pages":"Pages 173-187"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864853","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}