信息工程最新文献

{"title":"Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies","authors":"Tian ZHENG ,&nbsp;Xinheng WANG ,&nbsp;Xiaolan PENG ,&nbsp;Ning SU ,&nbsp;Tianyi XU ,&nbsp;Xurong XIE ,&nbsp;Jin HUANG ,&nbsp;Lun XIE ,&nbsp;Feng TIAN","doi":"10.1016/j.vrih.2024.08.001","DOIUrl":"10.1016/j.vrih.2024.08.001","url":null,"abstract":"<div><div>The global trend of population aging poses significant challenges to society and healthcare systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD). In this context, artificial intelligence techniques have demonstrated promising potential for the objective assessment and detection of NCDs. Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. This paper systematically reviews the specific methods and applications of these technologies in the detection of NCDs using data collection paradigms, feature extraction, and modeling approaches. Additionally, the potential applications and future prospects of these technologies for the detection of cognitive and motor disorders are explored. By providing a comprehensive summary and refinement of the extant theories, methodologies, and applications, this study aims to facilitate an in-depth understanding of these technologies for researchers, both within and outside the field. To the best of our knowledge, this is the first survey to cover the use of speech-language processing, computer vision, and virtual reality technologies for the detection of NSDs.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 6","pages":"Pages 421-472"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143315199","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":"Previs-Real:Interactive virtual previsualization system for news shooting rehearsal and evaluation","authors":"Che Qu ,&nbsp;Shaocong Wang ,&nbsp;Chao Zhou ,&nbsp;Tongchen Zhao ,&nbsp;Rui Guo ,&nbsp;Cheng Wa Wong ,&nbsp;Chi Deng ,&nbsp;Bin Ji ,&nbsp;Yuhui Wen ,&nbsp;Yuanchun Shi ,&nbsp;Yong-Jin Liu","doi":"10.1016/j.vrih.2024.12.001","DOIUrl":"10.1016/j.vrih.2024.12.001","url":null,"abstract":"<div><h3>Background</h3><div>In the demanding field of live news broadcasting, the intricate studio production procedures and tight schedules pose significant challenges for physical rehearsals by cameramen. This paper explores the design and implementation of a lightweight virtual news previsualization system, leveraging virtual production technology and interaction design methods to address the lack of fidelity in presentations and manipulations, and the quantitative feedback of rehearsal effects in previous virtual approaches.</div></div><div><h3>Methods</h3><div>Our system, Previs-Real, is informed by user investigation with professional cameramen and studio technicians, and adheres to principles of high fidelity, accurate replication of actual hardware operations, and real-time feedback on rehearsal results. The system's software and hardware development are implemented based on Unreal Engine and accompanying toolsets, incorporating cutting-edge modeling and camera calibration methods.</div></div><div><h3>Results</h3><div>We validated Previs-Real through a user study, demonstrating superior performance in previsualization shooting tasks using the virtual system compared to traditional camera setups. The findings, supported by both objective performance metrics and subjective responses, underline Previs-Real's effectiveness and potential in transforming news broadcasting rehearsals.</div></div><div><h3>Conclusions</h3><div>Previs-Real eliminates the requirement for complex equipment interconnections and team coordination inherent in a physical studio by implementing methodologies complying the above principles, objectively resulting in a lightweight design of applicable version of virtual news previsualization system. It offers a novel solution to the challenges in news studio previsualization by focusing on key operational features rather than full environment replication. This design approach is equally effective in the process of designing lightweight systems in other fields.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 6","pages":"Pages 527-549"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143315910","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":"Navigating blockchain adoption: An examination of actor alignment with the Diffusion of Innovation principles","authors":"Shipra Chhina ,&nbsp;Mehmood Chadhar ,&nbsp;Selena Firmin ,&nbsp;Arthur Tatnall","doi":"10.1016/j.bcra.2024.100228","DOIUrl":"10.1016/j.bcra.2024.100228","url":null,"abstract":"<div><div>Blockchain technology has garnered substantial interest due to its capacity to transform numerous industries by amplifying transparency and bolstering security measures. Despite the increasing interest, there is a void in existing literature regarding the alignment of actors with the Diffusion of Innovation (DOI) principles in the context of blockchain adoption. This gap restricts comprehension of the factors influencing adoption. This research addresses this void by investigating how actors align with the DOI principles in making decisions about blockchain adoption. The DOI model is combined with the innovation translation concept derived from Actor-Network Theory (ANT) to explore these complex dynamics in more detail. The results indicate that the decision-making process for blockchain adoption corresponds to the knowledge, persuasion, and decision stages, mirroring the phases found in the innovation translation approach. This research offers theoretical insights and practical knowledge that can be beneficial to individuals and organisations looking to promote the successful implementation of blockchain technology.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100228"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176853","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}

{"title":"Corrigendum to “Effectiveness of chemical inactivation of infectious liquid biological waste: A randomized sample study of research laboratories in Switzerland” [J. Biosaf. Biosecur. 6(1) (2024) 16–26]","authors":"Alina C. Teuscher ,&nbsp;Charlotte Ruhnau ,&nbsp;Nicole Stöcklin ,&nbsp;Fabienne Wichmann ,&nbsp;Evelyn Ilg Hampe ,&nbsp;Claudia Bagutti","doi":"10.1016/j.jobb.2024.09.001","DOIUrl":"10.1016/j.jobb.2024.09.001","url":null,"abstract":"","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 4","pages":"Page 271"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160346","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":"Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach","authors":"Ebenezer Fiifi Emire Atta Mills ,&nbsp;Yuexin Liao ,&nbsp;Zihui Deng","doi":"10.1016/j.bcra.2024.100231","DOIUrl":"10.1016/j.bcra.2024.100231","url":null,"abstract":"<div><div>Due to recent fluctuations in cryptocurrency prices, Ethereum has gained recognition as an investment asset. Given its volatile nature, there is a significant demand for accurate predictions to guide investment choices. This paper examines the most influential features of the daily price trends of Ethereum using a novel approach that combines the Random Forest classifier and the ReliefF method. Integrating the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Short-Time Fourier Transform (STFT) results in high accuracy and performance metrics for Ethereum price trend predictions. This method stands out from prior research, primarily based on time series analysis, by enhancing pattern recognition across time and frequency domains. This adaptability leads to better prediction capabilities with accuracy reaching 76.56% in a highly chaotic market such as cryptocurrency. The STFT's ability to reveal cyclical trends in Ethereum's price provides valuable insights for the ANFIS model, leading to more precise predictions and addressing a notable gap in cryptocurrency research. Hence, compared to models in literature such as Gradient Boosting, Long Short-Term Memory, Random Forest, and Extreme Gradient Boosting, the proposed model adapts to complex data patterns and captures intricate non-linear relationships, making it well-suited for cryptocurrency prediction.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100231"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176856","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}

{"title":"Blockchain-enhanced hydrogen fuel production and distribution for sustainable energy management","authors":"Yash Madhwal ,&nbsp;Yury Yanovich ,&nbsp;Matteo Coveri ,&nbsp;Ninoslav Marina","doi":"10.1016/j.bcra.2024.100229","DOIUrl":"10.1016/j.bcra.2024.100229","url":null,"abstract":"<div><div>Renewable energy projects, particularly wind and solar farms, have garnered significant attention as a potential solution to global energy challenges. Despite the energy production obstacles, the steady availability of fossil fuels continues to compete due to established distribution systems, as societies increasingly rely on electricity. Hydrogen fuel has emerged as a promising avenue for energy production, storage, and distribution, involving converting surplus renewable electricity into hydrogen through electrolysis, storing it, and distributing it. Our novel approach leverages blockchain technology to enhance the efficiency and traceability of hydrogen fuel production, offering a unique synergy of transparency, security, and decentralized governance. We showcase its viability and effectiveness using the ERC-1155 token standard to tokenize renewable resources and convert them into hydrogen fuel. Within our tokenized fuel blockchain architecture, we simulate the forecasted growth in hydrogen production and vehicle demand, highlighting our approach's efficiency, traceability, and transparency. This integration showcases the potential for a sustainable hydrogen fuel ecosystem. The gas consumption data analysis indicates that the daily gas consumption remains below 194 million Gas for refilling 3245 vehicles (including the cost of one-time contract deployment), demonstrating the feasibility and efficiency of our approach.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100229"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176854","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}

{"title":"Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets","authors":"Hasan Dincer ,&nbsp;Serhat Yüksel ,&nbsp;Gabor Pinter ,&nbsp;Alexey Mikhaylov","doi":"10.1016/j.bcra.2024.100230","DOIUrl":"10.1016/j.bcra.2024.100230","url":null,"abstract":"<div><div>Significant improvements should be made to increase the market potential of crypto mining. However, it is not financially feasible to make too many improvements because all actions lead to cost increases. In this context, it is necessary to determine the factors that most affect this process. Accordingly, the purpose of this study is to understand the main indicators that can improve the market potential of crypto mining activities. Therefore, the main research question of this study is to identify which factors should be prioritized while generating appropriate strategies to increase these activities. In this context, a new model has been constructed to answer this question. First, significant indicators are identified based on the evaluation of the literature. After that, these factors are weighted via quantum picture fuzzy rough set-based M-SWARA. The main contribution of this study is the generation of a new decision-making model to understand the key issues related to the market potential of crypto mining activities. The M-SWARA model is taken into consideration for criteria weighting. Owing to this issue, the causal relationships between the items can be identified. The findings demonstrate that reducing energy costs emerges as the most important factor for improving the market potential of the crypto mining industry. Furthermore, technological developments also play an important role in this regard.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100230"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176855","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}

{"title":"MatStick: Changing the material sensation of objects upon impact","authors":"Songxian Liu,&nbsp;Jian He,&nbsp;Shengsheng Jiang,&nbsp;Ziyan Zhang,&nbsp;Mengfei Lv","doi":"10.1016/j.vrih.2024.11.001","DOIUrl":"10.1016/j.vrih.2024.11.001","url":null,"abstract":"<div><div>An increasing number of studies have focused on providing rich tactile feedback in virtual reality interactive scenarios. In this study, we addressed a tapping scenario in virtual reality by designing MatStick, a solution capable of offering diverse tapping sensations. MatStick utilizes a soft physical base to provide force feedback and modulates the instantaneous vibration of the base using a voice coil motor, thereby altering the perception of the base material. We conducted two psychophysical experiments and a subjective evaluation to assess the capabilities of MatStick. The results demonstrate that MatStick can deliver rich tapping sensations. Although users may find it challenging to directly correlate the tapping sensation with the actual physical material based solely on tactile feedback, in immersive scenarios combined with visual and auditory cues, MatStick significantly enhances the user's interaction experience.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 6","pages":"Pages 486-501"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143315200","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":"Integrating blockchain technology within an information ecosystem","authors":"Francesco Salzano ,&nbsp;Lodovica Marchesi ,&nbsp;Remo Pareschi ,&nbsp;Roberto Tonelli","doi":"10.1016/j.bcra.2024.100225","DOIUrl":"10.1016/j.bcra.2024.100225","url":null,"abstract":"<div><div><strong>Context:</strong> Blockchain-based information ecosystems (BBIEs) are a type of information ecosystem in which blockchain technology is used to provide a trust mechanism among parties and to manage shared business logic, breaking the traditional scheme of information ecosystems dominated by a leading company and leveraging the decentralization of data management, information flow, and business logic.</div><div><strong>Objective:</strong> In this paper, we'd like to propose an architecture and the technical aspects concerning creating a BBIE, underlining the supplied advantages and the logic decomposition among the business and storage components.</div><div><strong>Method:</strong> The requirements are derived from the current needs of the collaborative business and the data collected by surveying practitioners. To meet these needs, we followed the Grounded Theory research approach. We validate our architectural schema against a case study on managing a wine supply chain involving different companies and supervision authorities.</div><div><strong>Results:</strong> The proposed solution integrates blockchain-based applications with the existing information system as a module of the ecosystem, leveraging on the low costs, scalability, and high-level security because of the restricted access to the network.</div><div><strong>Conclusion:</strong> We must go a long way in deepening and refining the possibilities offered by technology in supporting innovative multi-organizational business models. BBIEs can contribute substantially to paving the way in such a direction.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100225"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176851","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}

{"title":"InputJump: Augmented reality-facilitated cross-device input fusion based on spatial and semantic information","authors":"Xin Zeng ,&nbsp;Xiaoyu Wang ,&nbsp;Tengxiang Zhang ,&nbsp;Yukang Yan ,&nbsp;Yiqiang Chen","doi":"10.1016/j.vrih.2024.10.001","DOIUrl":"10.1016/j.vrih.2024.10.001","url":null,"abstract":"<div><div>The proliferation of computing devices requires seamless cross-device interactions. Augmented reality (AR) headsets can facilitate interactions with existing computers owing to their user-centered views and natural inputs. In this study, we propose InputJump, a user-centered cross-device input fusion method that maps multi-modal cross-device inputs to interactive elements on graphical interfaces. The input jump calculates the spatial coordinates of the input target positions and the interactive elements within the coordinate system of the AR headset. It also extracts semantic descriptions of inputs and elements using large language models (LLMs). Two types of information from different inputs (e.g., gaze, gesture, mouse, and keyboard) were fused to map onto an interactive element. The proposed method is explained in detail and implemented on both an AR headset and a desktop PC. We then conducted a user study and extensive simulations to validate our proposed method. The results showed that InputJump can accurately associate a fused input with the target interactive element, enabling a more natural and flexible interaction experience.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 6","pages":"Pages 502-526"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143315912","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}