信息工程最新文献

{"title":"Distant supervision knowledge extraction and knowledge graph construction method for supply chain management domain","authors":"Feiyue Huang,&nbsp;Lianglun Cheng","doi":"10.1007/s43684-024-00064-y","DOIUrl":"10.1007/s43684-024-00064-y","url":null,"abstract":"<div><p>As the core competitiveness of the national industry, large-scale equipment such as ships, high-speed rail and nuclear power equipment, their production process involves in-depth personalization. It includes complex processes and long manufacturing cycles. In addition, the equipment’s supply chain management is extremely complex. Therefore, the development of a supply chain management knowledge graph is of significant strategic significance. It not only enhances the synergistic effect of the supply chain management but also upgrades the level of intelligent management. This paper proposes a distant supervision knowledge extraction and knowledge graph construction method in the supply chain management of large equipment manufacturing, which achieves digital and structured management and efficient use of supply chain management knowledge in the industry. This paper presents an approach to extract entity-relation knowledge using limited samples. We achieve this by establishing a distant supervision model. Furthermore, we introduce a fusion gate mechanism and integrate ontology information, thereby enhancing the model’s capability to effectively discern sentence-level semantics. Subsequently, we promptly modify the weights of input features using the gate mechanism to strengthen the model’s resilience and address the issue of vector noise diffusion. Finally, an inter-bag sentence attention mechanism is introduced to integrate different sentence bag information at the sentence bag level, which achieves more accurate entity-relation knowledge extraction. The experimental results prove that compared with the latest distant supervision method, the accuracy of relation extraction is improved by 2.8%, and the AUC value is increased by 3.9%, effectively improving the quality of knowledge graph in supply chain management.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00064-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141112358","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":"Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model","authors":"Mohammad Ghani,&nbsp;Dwi Rantini,&nbsp;Maryamah","doi":"10.1016/j.jobb.2024.04.001","DOIUrl":"10.1016/j.jobb.2024.04.001","url":null,"abstract":"<div><p>In this paper, we study the dynamics of the CoVid-19 outbreak in Semarang, Indonesia, using a fractional CoVid-19 model. We first determine the effects of the isolation rate <span><math><mrow><mi>∊</mi></mrow></math></span> and infection rate <span><math><mrow><mi>β</mi></mrow></math></span> on the reproduction number <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></math></span> and infected number <em>V</em>. We find that <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></mrow></math></span> is directly proportional to <span><math><mrow><mi>β</mi></mrow></math></span> and inversely proportional to <span><math><mrow><mi>∊</mi></mrow></math></span>. For <em>V</em>, the effect of physical distancing is not as significant as changing <span><math><mrow><mi>∊</mi></mrow></math></span>. As <span><math><mrow><mi>∊</mi></mrow></math></span> increases, <em>V</em> decreases, the number of susceptible individuals increases, the number of quarantined individuals decreases sharply, and the number of recovered individuals decreases. Moreover, the effect of vaccination is also considered. The combination of physical distancing, isolation, and vaccination has a significant impact on reducing the number of infected individuals. Analysis of dynamical systems allows us to understand the characteristics of our model, such as its boundedness and non-negativity, the existence of equilibrium points, the existence and uniqueness of solutions, and the local and global stability. To validate our fractional CoVid-19 model, we introduce the fractional extended Kalman filter (FracEKF) as a prediction method and compare the results against reported CoVid-19 data. FracEKF is a modified version of the basic extended Kalman filter with a time-fractional memory effect. The prediction results illustrate the accuracy of this model in terms of the root mean square error (<em>RMSE</em>), normalized root mean square error (<em>NRMSE</em>), and mean absolute percentage error (<em>MAPE</em>) for each fractional-order. Varying <span><math><mrow><mi>∊</mi></mrow></math></span> reproduces the trends observed in the reported data for the number of infected individuals, i.e., when <span><math><mrow><mi>∊</mi></mrow></math></span> increases, the infected number decreases. Moreover, a higher fractional-order results in higher model accuracy. Furthermore, higher values of the process noise <span><math><mrow><msub><mrow><mi>Q</mi></mrow><mrow><mi>f</mi></mrow></msub></mrow></math></span> give smaller errors, whereas higher values of the observation noise <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mi>f</mi></mrow></msub></mrow></math></span> produce higher errors. <span><math><mrow><msub><mrow><mi>Q</mi></mrow><mrow><mi>f</mi></mrow></msub></mrow></math></span> and the fractional-order <span><math><mrow><mi>α</mi></mrow></math></span> are inversely proportional to <span><math><mrow><mi>RMSE</mi><mo>,</mo><mi>NRMSE","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 2","pages":"Pages 76-98"},"PeriodicalIF":0.0,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588933824000189/pdfft?md5=2065ed2bd4837d3db0e2355e9ccfeaa7&pid=1-s2.0-S2588933824000189-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141048701","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":"The simple economics of an external shock to a bug bounty platform","authors":"Aviram Zrahia, Neil Gandal, Sarit Markovich, Michael Riordan","doi":"10.1093/cybsec/tyae006","DOIUrl":"https://doi.org/10.1093/cybsec/tyae006","url":null,"abstract":"We first provide background on the “nuts and bolts” of a bug bounty platform: a two-sided marketplace that connects firms and individual security researchers (“ethical” hackers) to facilitate the discovery of software vulnerabilities. Researchers get acknowledged for valid submissions, but only the first submission of a distinct vulnerability is rewarded money in this tournament-like setting. We then empirically examine the effect of an exogenous external shock (COVID-19) on Bugcrowd, one of the leading platforms. The shock presumably reduced the opportunity set for many security researchers who might have lost their jobs or been placed on a leave of absence. We show that the exogenous shock led to a huge rightward shift in the supply curve and increased the number of submissions and new researchers on the platform. During the COVID period, there was a significant growth in duplicate (already known) valid submissions, leading to a lower probability of winning a monetary reward. The supply increase resulted in a significant decline in the equilibrium price of valid submissions, mostly due to this duplicate submission supply-side effect. The results suggest that had there been a larger increase in the number of firms and bug bounty programs on the platform, many more unique software vulnerabilities could have been discovered.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"75 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140928704","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":"序","authors":"","doi":"10.1360/ssi-2024-0139","DOIUrl":"https://doi.org/10.1360/ssi-2024-0139","url":null,"abstract":"","PeriodicalId":52316,"journal":{"name":"Scientia Sinica Informationis","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141032080","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":"Distributed gradient-free and projection-free algorithm for stochastic constrained optimization","authors":"Jie Hou,&nbsp;Xianlin Zeng,&nbsp;Chen Chen","doi":"10.1007/s43684-024-00062-0","DOIUrl":"10.1007/s43684-024-00062-0","url":null,"abstract":"<div><p>Distributed stochastic zeroth-order optimization (DSZO), in which the objective function is allocated over multiple agents and the derivative of cost functions is unavailable, arises frequently in large-scale machine learning and reinforcement learning. This paper introduces a distributed stochastic algorithm for DSZO in a projection-free and gradient-free manner via the Frank-Wolfe framework and the stochastic zeroth-order oracle (SZO). Such a scheme is particularly useful in large-scale constrained optimization problems where calculating gradients or projection operators is impractical, costly, or when the objective function is not differentiable everywhere. Specifically, the proposed algorithm, enhanced by recursive momentum and gradient tracking techniques, guarantees convergence with just a single batch per iteration. This significant improvement over existing algorithms substantially lowers the computational complexity. Under mild conditions, we prove that the complexity bounds on SZO of the proposed algorithm are <span>(mathcal{O}(n/epsilon ^{2}))</span> and <span>(mathcal{O}(n(2^{frac{1}{epsilon}})))</span> for convex and nonconvex cases, respectively. The efficacy of the algorithm is verified on black-box binary classification problems against several competing alternatives.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00062-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141049164","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":"Behavioral models of drivers in developing countries with an agent-based perspective: a literature review","authors":"Vishal A. Gracian,&nbsp;Stéphane Galland,&nbsp;Alexandre Lombard,&nbsp;Thomas Martinet,&nbsp;Nicolas Gaud,&nbsp;Hui Zhao,&nbsp;Ansar-Ul-Haque Yasar","doi":"10.1007/s43684-024-00061-1","DOIUrl":"10.1007/s43684-024-00061-1","url":null,"abstract":"<div><p>The traffic in developing countries presents its own specificity, notably due to the heterogeneous traffic and a weak-lane discipline. This leads to differences in driver behavior between these countries and developed countries. Knowing that the analysis of the drivers from developed countries leads the design of the majority of driver models, it is not surprising that the simulations performed using these models do not match the field data of the developing countries. This article presents a systematic review of the literature on modeling driving behaviors in the context of developing countries. The study focuses on the microsimulation approaches, and specifically on the multiagent paradigm, that are considered suitable for reproducing driving behaviors with accuracy. The major contributions from the recent literature are analyzed. Three major scientific challenges and related minor research directions are described.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00061-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140654630","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":"Distributed optimization via dynamic event-triggered scheme with metric subregularity condition","authors":"Xin Yu,&nbsp;Xi Chen,&nbsp;Yuan Fan,&nbsp;Songsong Cheng","doi":"10.1007/s43684-024-00063-z","DOIUrl":"10.1007/s43684-024-00063-z","url":null,"abstract":"<div><p>In this paper, we present a continuous-time algorithm with a dynamic event-triggered communication (DETC) mechanism for solving a class of distributed convex optimization problems that satisfy a metric subregularity condition. The proposed algorithm addresses the challenge of limited bandwidth in multi-agent systems by utilizing a continuous-time optimization approach with DETC. Furthermore, we prove that the distributed event-triggered algorithm converges exponentially to the optimal set, even without strong convexity conditions. Finally, we provide a comparison example to demonstrate the efficiency of our algorithm in communication resource-saving.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-024-00063-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140671897","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":"Dynamic evolution of an SVEIR model with variants and non-pharmaceutical interventions for controlling COVID-19","authors":"Ruiyang Zhou ,&nbsp;Shaojian Cai ,&nbsp;Guangmin Chen ,&nbsp;Senzhong Huang ,&nbsp;Zhen Jin ,&nbsp;Zhihang Peng ,&nbsp;Weichuan Lin ,&nbsp;Fengying Wei ,&nbsp;Kuicheng Zheng","doi":"10.1016/j.jobb.2024.02.002","DOIUrl":"10.1016/j.jobb.2024.02.002","url":null,"abstract":"<div><p>The epidemiological characteristics and distributions of two epidemics in Fujian Province of Southeast China were attributed to the complex interactions among variant, host, and non-pharmaceutical interventions (NPIs). All reported cases in the Putian epidemic (September 8–October 2, 2021, Delta variant B.1.617.2) and Fuzhou epidemic (October 22–November 18, 2022, Omicron variant BA.5.2) were classified by sex, age group, occupation, and location in this study. Using surveillance data from the Fujian Provincial Center for Disease Control and Prevention, we established a virus-oriented SVEIR (Susceptible–Vaccinated–Exposed–Infected–Recovered) model to investigate the dynamic evolution features of these two variants and the effects of NPIs. The optimal simulations were carried out with variants and scenario investigations. The scenario investigations showed that NPIs significantly reduced the transmission risk and infection scales of COVID-19, and that the Omicron variant was more infectious than the Delta variant. Moreover, the dynamic investigations revealed the increasing tendencies from Delta to Omicron, such as the basic reproduction number, infection rate, percentage of high-risk cases, and the growth rate. Decreasing tendencies were also identified, such as the average recovery period, the awareness delay, and the percentage of symptomatic cases. This study highlighted that NPIs played critical roles in successfully containing the two epidemics. Such interventions are strongly recommended to public health policymakers.</p></div>","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 2","pages":"Pages 67-75"},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588933824000050/pdfft?md5=e840458e0acbd9719fcb4c3a34a02694&pid=1-s2.0-S2588933824000050-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140792741","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":"TMAS: A transaction misbehavior analysis scheme for blockchain","authors":"","doi":"10.1016/j.bcra.2024.100197","DOIUrl":"10.1016/j.bcra.2024.100197","url":null,"abstract":"<div><p>Blockchain-based cryptocurrencies, such as Bitcoins, are increasingly popular. However, the decentralized and anonymous nature of these currencies can also be (ab)used for nefarious activities such as money laundering, thus reinforcing the importance of designing tools to effectively detect malicious transaction misbehaviors. In this paper, we propose TMAS, a transaction misbehavior analysis scheme for blockchain-based cryptocurrencies. Specifically, the proposed system includes ten features in the transaction graph, two heuristic money laundering models, and an analysis method for account linkage, which identifies accounts that are distinct but controlled by an identical entity. To evaluate the effectiveness of our proposed indicators and models, we analyze 100 million transactions and compute transaction features, and are able to identify a number of suspicious accounts. Moreover, the proposed methods can be applied to other cryptocurrencies, such as token-based cryptocurrencies (e.g., Bitcoins) and account-based cryptocurrencies (e.g., Ethereum).</p></div>","PeriodicalId":6,"journal":{"name":"ACS Applied Nano Materials","volume":"5 3","pages":"Article 100197"},"PeriodicalIF":6.9,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2096720924000101/pdfft?md5=0bb3bae5cba1c0b9cda4f64742a45a28&pid=1-s2.0-S2096720924000101-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140757228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biosafety and biosecurity in the Iraqi Kurdistan Region: Challenges and necessities","authors":"Karzan Qurbani,&nbsp;Safin Hussein,&nbsp;Sirwan Khalid Ahmed,&nbsp;Hanaw Darwesh,&nbsp;Seenaa Ali,&nbsp;Haider Hamzah","doi":"10.1016/j.jobb.2024.03.004","DOIUrl":"https://doi.org/10.1016/j.jobb.2024.03.004","url":null,"abstract":"","PeriodicalId":52875,"journal":{"name":"Journal of Biosafety and Biosecurity","volume":"6 2","pages":"Pages 65-66"},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2588933824000104/pdfft?md5=7a33b5fa3f2627872bd208fe2551e5fe&pid=1-s2.0-S2588933824000104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140550976","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}