International Journal of Reliability Quality and Safety Engineering最新文献_第7页

Process Capability Cp Assessment for Auto-Correlated Data in the Presence of Measurement Errors 存在测量误差的自相关数据过程能力Cp评价

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-16 DOI: 10.1142/s0218539322500103

M. Z. Anis, Kuntal Bera

引用次数: 1

A Flexible Two-Dimensional Warranty in Optimizing the Dealer and Customer Satisfaction 优化经销商和客户满意度的柔性二维保修

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-10 DOI: 10.1142/s0218539322500097

A. Salmasnia, Ali Doroudi, Fatemeh Kohan

引用次数: 0

Research on Secure Encryption and Transmission of Disaster Backup of Massive Data Based on Cloud Computing 基于云计算的海量数据灾难备份安全加密与传输研究

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-10 DOI: 10.1142/s0218539322500085

Jinhua Ha, Xu Chen

{"title":"Research on Secure Encryption and Transmission of Disaster Backup of Massive Data Based on Cloud Computing","authors":"Jinhua Ha, Xu Chen","doi":"10.1142/s0218539322500085","DOIUrl":"https://doi.org/10.1142/s0218539322500085","url":null,"abstract":"In order to ensure the protection of important data in the face of natural and man-made disasters in data centers in cloud computing services, sufficient backups of the data are required. This paper briefly introduced the security encryption measures for disaster backup of data under cloud computing. The transmission performance during disaster backup was improved by the intelligent ant colony algorithm. Simulation experiments were performed to compare the encryption performance of two encryption algorithms, the Rivest, Shamir, and Adleman (RSA) algorithm and the Advanced Encryption Standard (AES) algorithm, in disaster backup, and the transmission performance of the intelligent ant colony algorithm and the maximum network flow algorithm. The results showed that the asymmetric encryption algorithm and the RSA algorithm had better encryption performance than the AES algorithm in terms of disaster backup; with the increase of backup data volume, the transmission performance of both route assignment algorithms decreased, but the intelligent ant colony algorithm always outperformed the maximum network flow algorithm.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83098863","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

Renewals in Systems with Two Serially Connected Components 具有两个串行连接组件的系统的续订

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-07 DOI: 10.1142/s0218539322500127

Guanchen Li, D. Kagaris

引用次数: 1

Designing of Integrated Tactical Production-Quality Planning in a Rolling Horizon Under Demand Uncertainty: Case Study in the Automotive Wire Harness Industry 需求不确定性下滚动视界下综合战术生产质量计划设计——以汽车线束行业为例

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-07 DOI: 10.1142/s0218539322500115

Samiha Mansouri, Latifa Ouzizi, Y. Aoura, M. Douimi

引用次数: 0

Modelling of NHPP Based Software Reliability Growth Model from the Perspective of Testing Coverage, Error Propagation and Fault Withdrawal Efficiency 基于NHPP的软件可靠性增长模型的测试覆盖率、错误传播和故障提取效率建模

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-11-04 DOI: 10.1142/s0218539322500139

Shozab Khurshid, Javaid Iqbal, I. Malik, Basrah Yousuf

{"title":"Modelling of NHPP Based Software Reliability Growth Model from the Perspective of Testing Coverage, Error Propagation and Fault Withdrawal Efficiency","authors":"Shozab Khurshid, Javaid Iqbal, I. Malik, Basrah Yousuf","doi":"10.1142/s0218539322500139","DOIUrl":"https://doi.org/10.1142/s0218539322500139","url":null,"abstract":"This paper presents a software reliability growth model framework modeled from a non-homogenous poisson process (NHPP). Invariably, software testing continues to be a paramount measure for validating the standard of software. Test coverage measures appraise and estimate the proportion and gradation of testing in software. Therefore, presenting a correct picture of the test coverage becomes a prime requisite to guarantee software reliability. As an enhancement over the existing models, the proposed model integrates testing coverage (TC), error propagation, and fault withdrawal efficiency while keeping the number of parameters restrained to make the framework more reliable for parameter estimation. A relative analysis to assess the efficacy of the proposed model and some existing models has been carried out on the failure data obtained from three real-world software applications using six comparison criteria. Finally, the weighted criteria rank method has been used to rank the models and assess their performance. In addition, sensitivity analysis has been carried out to demonstrate the effect of the parameters of the proposed model on the mean value function.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89003861","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

Artificial Intelligence Technologies for Teaching and Learning in Higher Education 高等教育教学中的人工智能技术

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-10-25 DOI: 10.1142/s021853932240006x

Qi Chang, Xiajie Pan, N. Manikandan, S. Ramesh

{"title":"Artificial Intelligence Technologies for Teaching and Learning in Higher Education","authors":"Qi Chang, Xiajie Pan, N. Manikandan, S. Ramesh","doi":"10.1142/s021853932240006x","DOIUrl":"https://doi.org/10.1142/s021853932240006x","url":null,"abstract":"The term “Artificial Intelligence” (AI) refers to the simulation of human intelligence on a computer. Higher education can benefit from AI because it is a computationally efficient paradigm. Learning adapted to the changing demands of students is one of the key educational advantages of AI. Students can modify the pace of a course to better competency. Poor faculty and teaching quality and a general lack of motivation and interest among students are among the difficulties facing higher education. An artificial intelligence-assisted integrated teaching–learning framework (AL-ITLF) for higher education is proposed in this research. Multiple tutoring services are also involved in the curriculum, which is skill-based. The extreme learning machine (ELM) technique evaluates designs integrated into the suitable student monitoring model weighted score (WS) and exam results. An educational model that is more efficient, adaptable, and effective than current traditional education has been developed due to AI research in higher education. Higher education’s use of AI has resulted in a more efficient, adaptive, and effective educational model than traditional schooling. High accuracy, higher performance, lower processing costs, and a high prediction and low error rate are advantages of the suggested AI-ITLF approach. The WS and exam results were evaluated using an ELM algorithm as part of a proper student monitoring model.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91044407","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

Research on Hotel Management Based on Internet of Things and Big Data Analysis 基于物联网和大数据分析的酒店管理研究

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-10-25 DOI: 10.1142/s0218539322400046

Hongyan Jiang

{"title":"Research on Hotel Management Based on Internet of Things and Big Data Analysis","authors":"Hongyan Jiang","doi":"10.1142/s0218539322400046","DOIUrl":"https://doi.org/10.1142/s0218539322400046","url":null,"abstract":"With one-tap check-ins, digital concierge services, voice-activated gadgets, chatbots, smart in-room technology, and advanced analytics, the hotel sector has been quickly embracing new technologies to meet and exceed consumer expectations and digitize the customer experiences. The traditional hotel management with internet-based customer service could not handle dynamic real-time data efficiently due to increased data volume. Thus, this work analyzes hotel management practices with the internet of things (IoT) and big data. The IoT and big data significantly impact the guest experience since businesses can provide consumers with unique services to their needs. Automated check-in and checkout, pre-booking, registration, and user-chosen payment methods are just a few self-services that improve the visitor experience. For enhancing visitor satisfaction and offering tailored services, this paper looks at how IoT and big data analytics can help the hotel sector. It moreover examines how IoT can be used within the business. This extended research finds excellent results in hotel management through IoT and big data. A client occupancy detection model (CODM) simulation scenario finds the best detection accuracy of 97.51%.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89129537","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

Managing Editor’s remarks 总编辑评论

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-10-02 DOI: 10.1080/09617353.2022.2187143

Jacqueline A. Ward

引用次数: 0

STPA enabled safety assessment in the architecting of complex systems STPA允许在复杂系统的架构中进行安全评估

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International Journal of Reliability Quality and Safety Engineering Pub Date : 2022-10-02 DOI: 10.1080/09617353.2022.2145647

Sergio Jimeno Altelarrea, A. Riaz, M. Guenov

{"title":"STPA enabled safety assessment in the architecting of complex systems","authors":"Sergio Jimeno Altelarrea, A. Riaz, M. Guenov","doi":"10.1080/09617353.2022.2145647","DOIUrl":"https://doi.org/10.1080/09617353.2022.2145647","url":null,"abstract":"Abstract STPA is a hazard assessment technique that represents systems as hierarchical control structures composed of feedback control loops. Existing computational support focuses on creating the diagrams that depict these hierarchies. However, the elements in the loops and the signals exchanged must be determined manually. This impedes safety assessment, thus reducing the number of designs that can potentially be explored. Furthermore, the manual approach does not guarantee the correct update of the architecture with changes resulting from safety assessment, which can make the architecture inconsistent with the safety assessment. To overcome these limitations, proposed for the first time are two methods that automate the creation of: (1) hierarchical control structures and (2) detailed control loops. The methods create STPA models by analysing the architecture, which is modelled as a graph. The concept is illustrated with a representative example of a wheel brake system. The resulting models are compared with those obtained manually by the authors of STPA. The automation is shown to significantly reduce the required time and effort. It was also found to ensure consistency among the safety analysis and the architecture definition as it requires safety features to be included in the architecture before being considered in STPA analysis.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80657407","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