信息工程最新文献

{"title":"Adherence to biosafety and biosecurity protocols: An assessment of biomedical and veterinary laboratories in Benin","authors":"Philippe Sessou ,&nbsp;Nestor Noudeke ,&nbsp;Yves Eric Denon ,&nbsp;Aretas Tonouhewa ,&nbsp;Alban Zohoun ,&nbsp;Nassirou Boukary ,&nbsp;Désirée Metodakou ,&nbsp;Brian Samuelson ,&nbsp;Dana Hag Hamed ,&nbsp;Jenny Zhao ,&nbsp;Sumegha Asthana ,&nbsp;Mohammed Abid ,&nbsp;Erin M. Sorrell","doi":"10.1016/j.jobb.2024.11.001","DOIUrl":"10.1016/j.jobb.2024.11.001","url":null,"abstract":"<div><div>Diagnostic laboratories play a crucial role in surveillance and epidemic preparedness. However, gaps in adherence to biosecurity and biosafety protocols in managing, isolating, storing, and disposing of infectious pathogens in these facilities pose a serious risk to the laboratory, local populations, and the surrounding environment. In this study, we evaluated adherence to biosecurity and biosafety protocols in 96 public and private biomedical and veterinary laboratories in Benin to identify and address such gaps. We followed a cross-sectional study design. We used the Biosafety and Biosecurity in Laboratory Tool to assess biomedical laboratories and the Laboratory Mapping Tool to assess veterinary laboratories. Data were collected using KoBoCollect and analyzed with R software version 4.0.5. Descriptive analysis, the chi-squared test, and logistic regression were used to analyze the data. The findings revealed that most laboratories did not comply with established guidelines. Of all laboratories surveyed, 42% presented a very high risk, 38% a high risk, 15% moderate risk, and 5% were low risk. Overall, 80% of biomedical laboratories and 100% of veterinary laboratories were rated high risk. To improve effective biosecurity practices in laboratories in Benin to an acceptable standard, it is essential to implement robust biosecurity and biosafety policies. Additionally, capacity-building sessions should be conducted for laboratory staff and managers to educate them on the latest biosecurity protocols.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"7 1","pages":"Pages 28-37"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096735","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":"Coordinating REST interactions in service choreographies using blockchain","authors":"Francesco Donini ,&nbsp;Alessandro Marcelletti ,&nbsp;Andrea Morichetta ,&nbsp;Andrea Polini","doi":"10.1016/j.bcra.2024.100241","DOIUrl":"10.1016/j.bcra.2024.100241","url":null,"abstract":"<div><div>In Service Oriented Computing (SOC), different services interact and exchange information to reach specific objectives. To model interorganizational SOC systems, choreography modeling languages have emerged to represent the distributed coordination among the involved organizations. From the realization perspective, blockchain technology is emerging as a promising run-time supporting peer-to-peer communication technology without the need for a central coordinator, thanks to its intrinsic security, trust, and decentralization characteristics. However, while blockchain can bring many advantages, technological barriers still limit its adoption in organizations, due to the costly and time-consuming learning process. For this reason, we propose RESTChain, a framework that automatically enables the interactions that take place among the participants in a service choreography exploiting blockchain technology. Starting from a choreography specification, the framework provides a set of mediators and automatically generates a smart contract that coordinates the service interactions. The mediators are software components that are directly connected with the smart contracts and expose REpresentational State Transfer (REST) APIs in compliance with the role played by the organizations in the choreography. In this way, the services deployed by one organization can communicate with the services made available by another organization through the blockchain in a secure and transparent manner. The proposed approach has been implemented on the Layer 2 Polygon blockchain and validated in a market retail case study analyzing its efficiency in terms of time and cost.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 1","pages":"Article 100241"},"PeriodicalIF":6.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100649","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":"An intelligent surface roughness prediction method based on automatic feature extraction and adaptive data fusion","authors":"Xun Zhang,&nbsp;Sibao Wang,&nbsp;Fangrui Gao,&nbsp;Hao Wang,&nbsp;Haoyu Wu,&nbsp;Ying Liu","doi":"10.1007/s43684-024-00083-9","DOIUrl":"10.1007/s43684-024-00083-9","url":null,"abstract":"<div><p>Machining quality prediction based on cutting big data is the core focus of current developments in intelligent manufacturing. Presently, predictions of machining quality primarily rely on process and signal analyses. Process-based predictions are generally constrained to the development of rudimentary regression models. Signal-based predictions often require large amounts of data, multiple processing steps (such as noise reduction, principal component analysis, modulation, etc.), and have low prediction efficiency. In addition, the accuracy of the model depends on tedious manual parameter tuning. This paper proposes a convolutional neural network quality intelligent prediction model based on automatic feature extraction and adaptive data fusion (CNN-AFEADF). Firstly, by processing signals from multiple directions, time-frequency domain images with rich features can be obtained, which significantly benefit neural network learning. Secondly, the corresponding images in three directions are fused into one image by setting different fusion weight parameters. The optimal fusion weight parameters and window length are determined by the Particle Swarm Optimization algorithm (PSO). This data fusion method reduces training time by 16.74 times. Finally, the proposed method is verified by various experiments. This method can automatically identify sensitive data features through neural network fitting experiments and optimization, thereby eliminating the need for expert experience in determining the significance of data features. Based on this approach, the model achieves an average relative error of 2.95%, reducing the prediction error compared to traditional models. Furthermore, this method enhances the intelligent machining level.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00083-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142811308","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":"Safe motion planning and formation control of quadruped robots","authors":"Zongrui Ji,&nbsp;Yi Dong","doi":"10.1007/s43684-024-00084-8","DOIUrl":"10.1007/s43684-024-00084-8","url":null,"abstract":"<div><p>This paper introduces a motion planning and cooperative formation control approach for quadruped robots and multi-agent systems. First, in order to improve the efficiency and safety of quadruped robots navigating in complex environments, this paper proposes a new planning method that combines the dynamic model of quadruped robots and a gradient-optimized obstacle avoidance strategy without Euclidean Signed Distance Field. The framework is suitable for both static and slow dynamic obstacle environments, aiming to achieve multiple goals of obstacle avoidance, minimizing energy consumption, reducing impact, satisfying dynamic constraints, and ensuring trajectory smoothness. This approach differs in that it reduces energy consumption throughout the movement from a new perspective. Meanwhile, this method effectively reduces the impact of the ground on the robot, thus mitigating the damage to its structure. Second, we combine the dynamic control barrier function and the virtual leader-follower model to achieve efficient and safe formation control through model predictive control. Finally, the proposed algorithm is validated through both simulations and real-world scenarios testing.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00084-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142778519","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":"A review on deep anomaly detection in blockchain","authors":"Oussama Mounnan ,&nbsp;Otman Manad ,&nbsp;Larbi Boubchir ,&nbsp;Abdelkrim El Mouatasim ,&nbsp;Boubaker Daachi","doi":"10.1016/j.bcra.2024.100227","DOIUrl":"10.1016/j.bcra.2024.100227","url":null,"abstract":"<div><div>The last few years have witnessed the widespread use of blockchain technology in several works because of its effectiveness in terms of privacy, security, and trustworthiness. However, the challenges of cyber-attacks represent a real threat to systems based on this technology. The resort to the systems of anomaly detection focused on deep learning, also called deep anomaly detection, is an appropriate and efficient means to tackle cyber-attacks on the blockchain. This paper provides an overview of the blockchain technology concept, including its characteristics, challenges and limitations, and its system taxonomy. Numerous blockchain cyber-attacks are discussed, such as 51% attacks, selfish mining attacks, double spending attacks, and Sybil attacks. Furthermore, we survey an overview of deep anomaly detection systems with their challenges and unresolved issues. In addition, this article gives a glimpse of various deep learning approaches implemented for anomaly detection in the blockchain environment and presents several methods that enhance the security features of anomaly detection systems. Finally, we discuss the benefits and drawbacks of these recent advanced approaches in light of three categories—discriminative learning, generative learning, and hybrid learning—with other methods based on graphs, and we highlight the ability of the proposed approaches to perform real-time anomaly detection.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100227"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175465","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":"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":"Blockchain-enabled secure and authentic Nash equilibrium strategies for heterogeneous networked hub of electric vehicle charging stations","authors":"Desh Deepak Sharma ,&nbsp;S.N. Singh ,&nbsp;Jeremy Lin","doi":"10.1016/j.bcra.2024.100223","DOIUrl":"10.1016/j.bcra.2024.100223","url":null,"abstract":"<div><div>In the networked enlarged electric vehicle (EV) charging infrastructures, the security and authenticity of the stakeholders involved in the EV energy market pool are prime important. This paper proposes an EV network hub (EVNH) comprising EVs, EV aggregators (EVAs), and charging nodes in the networked EV energy market pool. The various EVAs implement different heterogeneous blockchains. The EVNH facilitates blockchain-based secure and resilient energy trading under grid to vehicle and vehicle to grid systems. The paper emphasizes interoperability challenges involving different blockchains to communicate and transfer assets or data between them. We suggest secure and trustworthy energy trading across various EVAs using multiple EV tokens for EV energy trading through cross-chain communications. The EVAs consider a Nash equilibrium-seeking strategy to find the Nash equilibrium in the noncooperative game of EVAs. The effectiveness of the proposed EVNH is tested using MATLAB, Solidity, and Python software.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"5 4","pages":"Article 100223"},"PeriodicalIF":6.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848055","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":"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":"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":"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}