信息工程最新文献

{"title":"Automatic piano performance interaction system based on greedy algorithm for dexterous manipulator","authors":"Yufei Wang ,&nbsp;Junfeng Yao ,&nbsp;Yalan Zhou ,&nbsp;Zefeng Wang","doi":"10.1016/j.vrih.2024.09.001","DOIUrl":"10.1016/j.vrih.2024.09.001","url":null,"abstract":"<div><div>With continuous advancements in artificial intelligence (AI), automatic piano-playing robots have become subjects of cross-disciplinary interest. However, in most studies, these robots served merely as objects of observation with limited user engagement or interaction. To address this issue, we propose a user-friendly and innovative interaction system based on the principles of greedy algorithms. This system features three modules: score management, performance control, and keyboard interactions. Upon importing a custom score or playing a note via an external device, the system performs on a virtual piano in line with user inputs. This system has been successfully integrated into our dexterous manipulator-based piano-playing device, which significantly enhances user interactions.</div></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"6 6","pages":"Pages 473-485"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143315911","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":"Point clouds to as-built two-node wireframe digital twin: a novel method to support autonomous robotic inspection","authors":"Farzad Azizi Zade,&nbsp;Arvin Ebrahimkhanlou","doi":"10.1007/s43684-024-00082-w","DOIUrl":"10.1007/s43684-024-00082-w","url":null,"abstract":"<div><p>Previous studies have primarily focused on converting point clouds (PC) into a dense mech of 3D finite element models, neglecting the conversion of PCs into as-built wireframe models with two-node elements for line elements such as beams and columns. This study aims to demonstrate the feasibility of this direct conversion, utilizing building framing patterns to create wireframe models. The study also integrates the OpenSeesPy package for modal analysis and double integration for bending estimation to demonstrate the application of the presented method in robotic inspection. Results indicate the successful conversion of a 4-story mass timber building PC to a 3D structural model with an average error of 7.5% under simplified assumptions. Further, two complex mass timber shed PCs were tested, resulting in detailed wireframe models. According to resource monitoring, our method can process ∼593 points/second, mostly affected by the number of neighbors used in the first stage of sparse points removal. Lastly, our method detects beams, columns, ceilings (floors), and walls with their directions. This research can facilitate various structural modeling directly based on PC data for digital twinning and autonomous robotic inspection.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00082-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142737095","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":"Stabilization of nonlinear safety-critical systems by relaxed converse Lyapunov-barrier approach and its applications in robotic systems","authors":"Haoqi Li,&nbsp;Jiangping Hu,&nbsp;Xiaoming Hu,&nbsp;Bijoy K. Ghosh","doi":"10.1007/s43684-024-00081-x","DOIUrl":"10.1007/s43684-024-00081-x","url":null,"abstract":"<div><p>Combining safety objectives with stability objectives is crucial for safety-critical systems. Existing studies generally unified these two objectives by constructing Lyapunov-type barrier functions. However, insufficient analysis of key set relationships within the system may render the proposed safety and stability conditions conservative, and these studies also did not provide how to use such conditions to design safety-stability control strategies. This paper proposed a feasible and constructive design to achieve stabilization of safety-critical systems by a relaxed converse Lyapunov-barrier approach. By analyzing the relationships between a series of sets associated with the safety-critical system, the stability and safety conditions can be appropriately relaxed. Then, with the help of relaxed converse control Lyapunov-barrier functions (RCCLBFs), a theoretical result was obtained for the stability of affine nonlinear systems with safety constraints. Subsequently, a constructive method was developed for a second-order strict-feedback system to transform the process of solving RCCLBFs into a Lyapunov-like stabilization problem. Finally, the proposed safety-stability control method is exerted on a robotic system and demonstrated by simulations.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00081-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672387","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":"Pedestrian safety alarm system based on binocular distance measurement for trucks using recognition feature analysis","authors":"Tingting Bao,&nbsp;Ding Lin,&nbsp;Xumei Zhang,&nbsp;Zhiguo Zhou,&nbsp;Kejia Wang","doi":"10.1007/s43684-024-00080-y","DOIUrl":"10.1007/s43684-024-00080-y","url":null,"abstract":"<div><p>As an essential part of modern smart manufacturing, road transport with large and heavy trucks has in-creased dramatically. Due to the inside wheel difference in the process of turning, there is a considerable safety hazard in the blind area of the inside wheel difference. In this paper, multiple cameras combined with deep learning algorithms are introduced to detect pedestrians in the blind area of wheel error. A scheme of vehicle-pedestrian safety alarm detection system is developed via the integration of YOLOv5 and an improved binocular distance measurement method. The system accurately measures the distance between the truck and nearby pedestrians by utilizing multiple cameras and PP Human recognition, providing real-time safety alerts. The experimental results show that this method significantly reduces distance measurement errors, improves the reliability of pedestrian detection, achieves high accuracy and real-time performance, and thus enhances the safety of trucks in complex traffic environments.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00080-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600740","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":"Unraveling the potential of blockchain technology in enhancing supply chain traceability: A systematic literature review and modeling with ISM","authors":"Reza Payandeh ,&nbsp;Ahmad Delbari ,&nbsp;Fatemeh Fardad ,&nbsp;Javad Helmzadeh ,&nbsp;Sanaz Shafiee ,&nbsp;Ali Rajabzadeh Ghatari","doi":"10.1016/j.bcra.2024.100240","DOIUrl":"10.1016/j.bcra.2024.100240","url":null,"abstract":"<div><div>Supply chain traceability is a critical aspect of modern business operations, and blockchain technology has emerged as a promising solution to enhance traceability in supply chain management. However, the effective application of blockchain faces various challenges and limitations. This study aims to investigate how blockchain technology can address these challenges and improve traceability within supply chains. Employing a systematic literature review combined with interpretative structural modeling (ISM), we comprehensively assess and classify the literature on blockchain-enabled supply chain traceability. Our exploratory research approach delves into the contributions of blockchain technology and identifies key factors that enhance traceability. We adopt a mixed-methods approach, incorporating both secondary and primary data to ensure robust analysis. Our study addresses essential questions regarding the application, advantages, limitations, challenges, integration with other technologies, and future potential of blockchain in supply chain traceability. Through a systematic review and the ISM technique, we identify crucial levels and factors necessary for leveraging blockchain technology effectively. Our findings underscore the importance of a robust infrastructure, cutting-edge technology, and significant initial investment in implementing blockchain for supply chain traceability. This research offers a comprehensive understanding of the factors and their levels, providing valuable insights for industry professionals and academic researchers. By laying a solid foundation for informed decision-making and further exploration into the potential of blockchain-enhanced supply chain traceability, our study contributes to advancing knowledge in this crucial area of business operations.</div></div>","PeriodicalId":53141,"journal":{"name":"Blockchain-Research and Applications","volume":"6 1","pages":"Article 100240"},"PeriodicalIF":6.9,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100650","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":"Preparation of ZnO nanoparticles from Juglans regia dry husk extract for biomedical applications","authors":"Khetam Habeeb Rasool ,&nbsp;Wedian K. Abad ,&nbsp;Ahmed N. Abd","doi":"10.1016/j.jobb.2024.10.004","DOIUrl":"10.1016/j.jobb.2024.10.004","url":null,"abstract":"<div><div>The worldwide problem of antibiotic resistance threatens public health, necessitating the search for antimicrobial agents that are not only effective against antibiotic-resistant bacteria but also harmless to the environment. Metal nanoparticles and their oxides are promising agents for battling antibiotic-resistant bacteria, and nanoparticles (NPs) of any size or form can be manufactured in high quality using low-cost and simple-to-follow processes that are friendly to the<!--> <!-->environment. The purpose of this study was to evaluate the antimicrobial activity of zinc oxide nanoparticles (ZnO NPs) that were synthesized using the extract of Juglans regia dried husk, a waste product. Extract components were<!--> <!-->used as capping and reducing agents in reactions with zinc acetate salt. The properties of ZnO NPs were examined using Fourier-transform infrared spectroscopy (FTIR), UV–visible spectroscopy, scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray diffraction (XRD). The antibacterial activity ZnO NPs against Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, Klebsiella pneumoniae, and Candida albicans, which were isolated from patients with urinary tract infection, was assessed using the agar well diffusion method.<!--> <!-->ZnO NPs produced using the aqueous extract of Juglans regia dried husk had a band gap of 3.5 eV, which was determined using UV–visible spectra in the wavelength range of 200–1100 nm. The FTIR spectra of ZnO NPs, acquired in the range of 400–4000 cm⁻¹, contained bands corresponding to specific functional groups of biomolecules and metal oxides. X-ray patterns were acquired in the range of 2θ = 20° to 80°. The crystallite size of produced ZnO NPs, calculated using Scherrer’s formula, was 8.7 nm. The wurtzite hexagonal structure of ZnO NPs was confirmed by the presence of the wide band at 495 to 850 cm⁻¹. The peaks in the XRD pattern corresponded to the (100), (002), (101), (110), (103), and (201) planes. Prepared nanoparticles were semispherical, with a grain diameter of approximately 23 nm and mean roughness (Sa) of 1.65 nm. According to the results of antibacterial testing, ZnO NPs exhibited the greatest growth inhibition effect against Staphylococcus epidermidis, followed by Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, and Candida albicans (diameter of inhibition zones of 37 ± 0.89, 35.6 ± 0.52, 33.3 ± 1.36, and 35 ± 0.89 mm, respectively). ZnO NPs exhibited significant antibacterial activity owing to their distinct toxicity toward microorganisms. Hence, they can be applied as antimicrobial agents in medicine, surgery, diagnostics, and nanomedicine.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"7 1","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747010","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 targeted vaccination strategy: Integrating vaccines into biosafety, biosecurity, and one health initiatives","authors":"Laith N. AL-Eitan,&nbsp;Rabi A. Abu Khiarah,&nbsp;Diana L. Almahdawi","doi":"10.1016/j.jobb.2024.10.002","DOIUrl":"10.1016/j.jobb.2024.10.002","url":null,"abstract":"<div><div>Vaccination has saved millions of lives and is regarded as one of modern medicine’s most important successes. Effective vaccination programs should be based on risk assessment that considers demographic and occupational factors. When developing a vaccination program, it is essential to identify the target groups, including travelers, infants, high-risk workers, and those in critical roles such as farming and agriculture. In biosafety and biosecurity, vaccines are a key component of measures designed to protect laboratory personnel, the community, and the environment. Guidelines from global health organizations such as the Centers for Disease Control and Prevention are tailored to specific pathogens and depend on the type of work performed and the associated risk. These guidelines are continuously revised and updated to ensure the effectiveness of vaccination programs. Vaccines also play a role in One Health approaches that are focused on the interconnectedness of animals, humans, and the environment. Targeted vaccination strategies for both domestic animals and wildlife are necessary to maintain animal health, improve livestock productivity, and prevent the spread of zoonotic and foodborne diseases to humans. In this paper, we aimed to provide an overview regarding the crucial roles of vaccines in biosafety, biosecurity, and One Health approaches, as well as to highlight the importance of targeted and personalized strategies to improve the effectiveness of vaccination programs. Herein, we also discuss various vaccines aimed at specific target groups as recommended by global health organizations, with a particular emphasis on laboratory workers and the vaccines necessary to reduce laboratory-acquired infections. Finally, we discuss animal vaccines and targeted strategies for vaccinating domestic and wildlife populations.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"7 1","pages":"Pages 9-27"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747011","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":"Estimation methods of reproduction numbers for epidemics of varying strains of COVID-19","authors":"Siying Xiong ,&nbsp;Shaojian Cai ,&nbsp;Fengying Wei ,&nbsp;Guangmin Chen ,&nbsp;Kuicheng Zheng ,&nbsp;Jianfeng Xie","doi":"10.1016/j.jobb.2024.10.003","DOIUrl":"10.1016/j.jobb.2024.10.003","url":null,"abstract":"<div><div>The estimation methods of reproduction numbers and serial intervals are important in the early stages of infectious diseases. During the COVID pandemic, China implemented a dynamic zero-COVID policy on the Chinese mainland until the end of 2022. This study compares three estimation methods of basic reproduction numbers on small-scale, short-duration COVID-19 epidemics in Fujian Province. Basic reproduction numbers were investigated using a varying-strain model via a next-generation matrix method. Serial intervals were derived using the infector–infectee pairs of two epidemics from the Fujian Provincial Center for Disease Control and Prevention. Basic reproduction numbers were estimated using the maximum likelihood estimation method and the exponential growth method. The curves of the effective reproduction numbers of the three epidemics were plotted by utilizing daily cases and the EpiEstim R package. The spatial heterogeneity of infection cases was described using the Gini coefficient. This study provides significant insights on the estimation methods of reproduction numbers for policymakers in the local government. The results reveal that social contacts between infectors and susceptible individuals should be reduced to avoid an increase in deaths and to fight against the spread of infectious diseases.</div></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 4","pages":"Pages 265-270"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142704617","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":"Multi-objective optimal trajectory planning for manipulators based on CMOSPBO","authors":"Tingting Bao,&nbsp;Zhijun Wu,&nbsp;Jianliang Chen","doi":"10.1007/s43684-024-00077-7","DOIUrl":"10.1007/s43684-024-00077-7","url":null,"abstract":"<div><p>Feasible, smooth, and time-jerk optimal trajectory is essential for manipulators utilized in manufacturing process. A novel technique to generate trajectories in the joint space for robotic manipulators based on quintic B-spline and constrained multi-objective student psychology based optimization (CMOSPBO) is proposed in this paper. In order to obtain the optimal trajectories, two objective functions including the total travelling time and the integral of the squared jerk along the whole trajectories are considered. The whole trajectories are interpolated by quintic B-spline and then optimized by CMOSPBO, while taking into account kinematic constraints of velocity, acceleration, and jerk. CMOSPBO mainly includes improved student psychology based optimization, archive management, and an adaptive <i>ε</i>-constraint handling method. Lévy flights and differential mutation are adopted to enhance the global exploration capacity of the improved SPBO. The <i>ε</i> value is varied with iterations and feasible solutions to prevent the premature convergence of CMOSPBO. Solution density estimation corresponding to the solution distribution in decision space and objective space is proposed to increase the diversity of solutions. The experimental results show that CMOSPBO outperforms than SQP, and NSGA-II in terms of the motion efficiency and jerk. The comparison results demonstrate the effectiveness of the proposed method to generate time-jerk optimal and jerk-continuous trajectories for manipulators.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00077-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565895","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 multi-step regularity assessment and joint prediction system for ordering time series based on entropy and deep learning","authors":"Yichen Zhou,&nbsp;Wenhe Han,&nbsp;Heng Zhou","doi":"10.1007/s43684-024-00078-6","DOIUrl":"10.1007/s43684-024-00078-6","url":null,"abstract":"<div><p>Customer maintenance is of vital importance to the enterprise management. Valuable assessment and efficient prediction for customer ordering behavior can offer better decision-making and reduce business costs significantly. According to existing studies about customer behavior regularity segment and demand prediction most focus on e-commerce and other fields with large amount of data, making them not suitable for small enterprises and data features like sparsity and outliers are not mined when doing regularity quantification. Additionally, more and more complex network structures for demand prediction are proposed, which builds on the assumption that all the samples have predictive value, ignoring the fine-grained analysis of different time series regularity with high cost. To deal with the above issues, a multi-step regularity assessment and joint prediction system for ordering time series is proposed. For extracting features, comprehensive assessment of customer regularity based on entropy weight method with the result of predictability quantification using K-Means clustering algorithm, real entropy, LZW algorithm and anomaly detection adopting Isolation Forest algorithm not only gives an objective result to ‘how high the regularity of customers is’, filling the gap in the field of regularity quantification, but also provides a theoretical basis for demand prediction models selection. Prediction models: Random Forest regression, XGBoost, CNN and LSTM network are experimented with sMAPE and MSLE for performance evaluation to verify the effectiveness of the proposed regularity quantitation method. Moreover, a merged CNN-BiLSTM neural network model is established for predicting those customers with low regularity and difficult to predict by traditional machine leaning algorithms, which performs better on the data set compared to others. Random Forest is still used for prediction of customers with high regularity due to its high training efficiency. Finally, the results of prediction, regularity quantification, and classification are output from the intelligent system, which is capable of providing scientific basis for corporate strategy decision and has highly extendibility in other enterprises and fields for follow-up research.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00078-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142519061","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}