International Journal of Reliability Quality and Safety Engineering最新文献_第9页

Innovative Research on English Teaching Model Based on Artificial Intelligence and Wireless Communication 基于人工智能和无线通信的英语教学模式创新研究

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-30 DOI: 10.1142/s0218539322400071

Yuan Wang, Kew Si Na

{"title":"Innovative Research on English Teaching Model Based on Artificial Intelligence and Wireless Communication","authors":"Yuan Wang, Kew Si Na","doi":"10.1142/s0218539322400071","DOIUrl":"https://doi.org/10.1142/s0218539322400071","url":null,"abstract":"It is a network system for teaching English through a wireless communication (WC) premised distance teaching system. This is a process of education that is capable of encouraging students’ concerns to acquire knowledge voluntarily. The paper is designed to develop and implement an online intelligent English training system using artificial intelligence (AI) that helps students improve their English learning efficiency in line with knowledge and personality. The system’s numerous sensor nodes may create a variety of topologies. The gathered information is transmitted over the global system for mobile communication (GSM) network to the user interface. The operator can manage the remote sensor node via the GSM network. Nevertheless, there are certain derivative aspects such as the absence of verbal judgment, the actual evaluation and signaling system, the interactive educational platform teachers and learners need. The paper is based on the above issues. It contains a whole talk-based system where teachers, students, and English teaching can be revised together — AIWC (ET-AIWC) systems are designed to improve and advance the genetic algorithm based on an encoding technique for dynamic parameter adjustment of the iterative process based on these problems. In combination with an AI expert system, suitable learning techniques were created to enable students to double the learning effect by half the amount of work. An online teaching assistant system was designed to monitor, regulate, and engage with students throughout the learning process and a modified scoring system that provides real-time evaluation of student speakers to improve students’ oral competence in English better and more efficiently, achieving 95.2%.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90261604","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}

引用次数: 2

Shock-Loading-Based Reliability Modeling with Dependent Degradation Processes and Random Shocks 基于依赖退化过程和随机冲击的冲击载荷可靠性建模

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-27 DOI: 10.1142/s0218539322500024

Rui Wang, Mengmeng Zhu

引用次数: 1

Advances in Intelligent Expert Systems for Risk Analysis in a Complex Business Environment with Appropriate Solutions 复杂商业环境中风险分析的智能专家系统及其解决方案研究进展

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-27 DOI: 10.1142/s0218539322400058

Honglei Zhang, Zhenbo Zang, Hongjun Zhu, C. Vignesh

{"title":"Advances in Intelligent Expert Systems for Risk Analysis in a Complex Business Environment with Appropriate Solutions","authors":"Honglei Zhang, Zhenbo Zang, Hongjun Zhu, C. Vignesh","doi":"10.1142/s0218539322400058","DOIUrl":"https://doi.org/10.1142/s0218539322400058","url":null,"abstract":"Today’s commonly used risk management procedures allow the planning team to focus on sensitive areas. It focuses the project team’s attention on activities and resources when a great risk threat exists or when the most time- and effective-engineering solutions can achieve expense reductions. Industrial security issues have worsened dramatically over the last decade. Over time, the risks in the sector rose as limited, single-train or batch operations shifted to massive multi-train operations. Often an accident leads to detrimental effects: shutting down the operation, loss of life, environmental disruption, and loss of business. The reparation of losses from the budget is unwelcome since the government’s reserve will not cope with these needs. This paper has a definitive comparative edge for company sponsors for project risk management (PRM) strategy. The sponsors who knowingly take chances, forecast unfavorable developments, defend themselves against unforeseen incidents and gain experience in price danger take the lead. However, this market benefit is largely dependent on the method to initially identify risks in the architecture of extensive multidisciplinary capital ventures. This paper explores how a sustainable market strategy works in reality. Using the market model, the business issues that need to be considered during the implementation or expansion of urban strategies are discussed. The PRM strategy shows a better-quality assurance ratio of 97.2%, probability ratio of 95.3%, safety rate of 97.5%, reduced risk management rate of 22.6%, an accident rate of 17.4%, cost management of 25.1% and fuel consumption ratio of 23.7% when compared to existing strategies.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84742392","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}

引用次数: 0

A Hierarchical Framework for Spares-Driven Maintenance Tasks’ Reviewing, Planning and Scheduling 备件驱动维修任务评审、计划和调度的分层框架

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-27 DOI: 10.1142/s0218539322500048

R. Manzini, R. Accorsi, Emilio Ferrari, A. Gallo, S. Penazzi

{"title":"A Hierarchical Framework for Spares-Driven Maintenance Tasks’ Reviewing, Planning and Scheduling","authors":"R. Manzini, R. Accorsi, Emilio Ferrari, A. Gallo, S. Penazzi","doi":"10.1142/s0218539322500048","DOIUrl":"https://doi.org/10.1142/s0218539322500048","url":null,"abstract":"This paper explores the impacts of reviewing the time to replace of spare parts under the lenses of reliability- and cost-based optimization with the attempt to reduce the cost of a maintenance plan within a harshly constrained maintenance tasks’ scheduling problem. A hierarchical procedure for a robust reliability prediction and scheduling of maintenance tasks is introduced to this purpose. This study takes inspiration from real applications of the preventive maintenance (PM) scheduling process on high-throughput packing and manufacturing lines counting hundreds of functional groups and thousands of components subject to failures and replacements. We investigate the role and the criticality of data entry in the not polynomial (NP)-hard cost-based and reliability-based scheduling problem proposed by Manzini et al. (R. Manzini, R. Accorsi, T. Cennerazzo, E. Ferrari and F. Maranesi, The scheduling of maintenance. A resource-constraints mixed-integer linear programming (MILP) model, Comput. Ind. Eng. 87 (2015) 561–568). The proposed reliability-based analysis aids the setting of proper time to failures for spare parts and combines with an analytical single-component and cost-based model to set which maintenance tasks are the most sensitive to the overall cost reduction of a maintenance plan.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72901330","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}

引用次数: 1

Predicting Cyberattacks with Destination Port Through Various Input Feature Scenario 基于不同输入特征场景的目的端口网络攻击预测

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-17 DOI: 10.1142/s0218539322500036

R. Zuech, John T. Hancock, T. Khoshgoftaar

{"title":"Predicting Cyberattacks with Destination Port Through Various Input Feature Scenario","authors":"R. Zuech, John T. Hancock, T. Khoshgoftaar","doi":"10.1142/s0218539322500036","DOIUrl":"https://doi.org/10.1142/s0218539322500036","url":null,"abstract":"When analyzing cybersecurity datasets with machine learning, researchers commonly need to consider whether or not to include Destination Port as an input feature. We assess the impact of Destination Port as a predictive feature by building predictive models with three different input feature sets and four combinations of web attacks from the CSE-CIC-IDS2018 dataset. First, we use Destination Port as the only (single) input feature to our models. Second, all features (from CSE-CIC-IDS2018) are used without Destination Port to build the models. Third, all features plus (including) Destination Port are used to train and test the models. All three of these feature sets obtain respectable classification results in detecting web attacks with LightGBM and CatBoost classifiers in terms of Area Under the Receiver Operating Characteristic Curve (AUC) scores, with AUC scores exceeding 0.90 for all scenarios. We observe the best classification performance scores when Destination Port is combined with all of the other CSE-CIC-IDS2018 features. Although, classification performance is still respectable when only using Destination Port as the only (single) input feature. Additionally, we validate that Botnet attacks also have respectable AUC with Destination Port as the only input feature to our models. This highlights that practitioners must be mindful of whether or not to include Destination Port as an input feature if it experiences lopsided label distributions as we clearly identify in this study. Our brief survey of existing CSE-CIC-IDS2018 literature also discovered that many studies incorrectly treat Destination Port as a numerical input feature with machine learning models. Destination Port should be treated as a categorical input value to machine learning models, as its values do not represent numerical values which can be used in mathematical equations for the models.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90922246","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}

引用次数: 0

A Text Classification Algorithm for Power Equipment Defects Based on Random Forest 基于随机森林的电力设备缺陷文本分类算法

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-17 DOI: 10.1142/s0218539322400010

Longzhu Zhu, Nuo Tian, Wei Li, J. Yang

引用次数: 1

Availability and Maintenance Analysis for Multi-Failure System Modeled by Alternating Renewal Processes Subject to M/E2/1 Queue M/E2/1队列下交替更新多故障系统的可用性与维护分析

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-17 DOI: 10.1142/s021853932250005x

Shweta Agarwal, S. B. Singh

引用次数: 0

A machine learning study on the role of behavioral and demographic factors in mining injuries 行为和人口因素在采矿伤害中的作用的机器学习研究

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-16 DOI: 10.1142/s0218539322500073

Appani Ravikumar, G. Raju, Suprakash Gupta

引用次数: 0

Optimal Inspection Policies to Minimize Expected Cost Rates 最小化预期成本率的最优检验策略

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-06-11 DOI: 10.1142/s0218539322500012

Satoshi Mizutani, Xufeng Zhao, T. Nakagawa

引用次数: 0

Managing Editor’s remarks 总编辑评论

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-04-03 DOI: 10.1080/09617353.2022.2139424

Jacqueline Ward

引用次数: 0