A deducing-based reliability optimization for electrical equipment with constant failure rate components duration their mission profile
یک بهینه سازی قابلیت اطمینان مبتنی بر استنتاج برای تجهیزات الکتریکی با اجزای نرخ خرابی ثابت در طول مدت مشخصات ماموریت آنها-2021
Recently, with the rapid development of electrical industries, the R&D on electrical equipment has made a massive progress. However, high integration of multiple functions like isolationcircuit breaking, data collection and intelligent control results in low reliabilities. Therefore, a deducing-based reliability optimization for electrical equipment is proposed to enhance the reliability of electrical equipment. The Integrated Isolation Circuit Breaker (IICB), a classical device of power switch, is taken as the object in this research, and the reliability analysis is carried out by building the equipment description model of IICB, bringing forth the deduced method, and taking the constant failure rate components duration their mission profiles as indices for reliability increases. Next, on the basis of the deduced method, the unit to increase the system reliability can be determined. With the guidance of the above method, three kinds of reliability optimization schemes are studied, which are formed in accordance with the topologies of devices, component configurations and redundancy respectively. Finally, the comparing, analyzing and deducing of the three improving schemes are presented respectively. And an example is given to prove that the proposed method is feasible and can effectively improve equipment reliabilities, with valuable guidance for equipment reliability design as well.
Keywords: Reliability optimization | Deduced method | Electrical equipment | Topological structures | Reliability increase
Beyond intentionality in accounting regulation: Habitual strategizing by the IASB
فراتر از قصد در مقررات حسابداری: استراتژی معمولی توسط IASB-2021
Adopting critical discourse analysis and Bourdieu’s theorization of dispositional use of language, the present study challenges a common assumption in the accounting standard-setting literature, namely, that regulators’ discourse is purposely and deliberately deployed. I draw on cognitive sociolinguistics to empirically explore the specific manifestations of habitual, that is, pre-reflexive legitimation rhetoric in IASB regulatory texts. My analysis shows how taken-for-granted discursive rationalizations and linguistic forms are operationalized. I then argue that the language observed in regulatory texts, which can be considered as examples of ‘collective thinking artefacts’, enacts standard setters’ institutionalized patterns of reasoning associated with their social position. This critical perspective on the subconscious use of rhetoric generates a series of further questions regarding the lack of reflexivity in accounting regulatory processes.
keywords: تجزیه و تحلیل گفتمان انتقادی | بوردیو | جامعه شناسی شناختی | مشروعیت | Critical discourse analysis | Bourdieu | Cognitive sociolinguistics | Legitimacy
Nurses perspectives on pain management practices during newborn blood sampling in China
دیدگاه های پرستاران در مورد شیوه های مدیریت درد در طی نمونه گیری خون نوزادان در چین-2021
Introduction: Nurses’ use of evidence-based pain treatments for newborns during needle-related procedures in China was unknown. This study aimed to ascertain knowledge and use of pain management strategies and usefulness of a publicly accessible ’BSweet2Babies’ video, produced in Mandarin, demonstrating the use of breastfeeding, skin-to-skin care (SSC), and sweet solutions during painful procedures. Methods: An online survey was conducted during six nursing conferences in China ascertaining nurses’ previous viewing of the video and knowledge and use of the demonstrated strategies. Results: 221 nurses participated. Only 25 (11.3%) had previously seen the video. Over half knew that breast- feeding (n = 138, 62.4%) and SSC (n = 173, 78.3%) reduced pain, and 89 (40.3%) knew that sucrose reduced pain, but these strategies were infrequently used. Most intended to use the strategies in the future. Discussion: A knowledge-to-action gap for newborn pain management was identified. Future research is needed to improve the implementation of effective pain treatment for newborns.
keywords: نوزاد | درد رویه ای | مدیریت درد | تمرین مبتنی بر شواهد | نظر سنجی | Neonate | Procedural pain | Pain management | Evidence-based practice | Survey
Developing and solving an integrated model for production routing in sustainable closed-loop supply chain
توسعه و حل یک مدل یکپارچه برای مسیر یابی تولید در زنجیره تأمین حلقه بسته پایدار-2021
Social and environmental sustainability has gained increasing importance in today’s complex supply chains. Accordingly, an integrated model for production routing in the sustainable closed-loop supply chain is presented in the current study. A three-objective mathematical model is also proposed to minimize supply chain costs, maximize social responsibility or social beneﬁts, and ﬁnally, minimize environmental emissions. Sample trial problems are solved in three groups of the small, medium, and large size using the BCO algorithm. To prove the efﬁciency of this algorithm, its results are compared with the results using the NSGA-II algorithm in terms of comparative metrics such as quality, diversity, and spacing, as well as the runtime to the solution. According to the results, in all cases, the BCO algorithm outperformed the NSGA-II algorithm as it achieved more qualitative and near-optimal solutions. Also, the diversity metric values showed that the BCO algorithm is stronger in the exploration and extraction of the solution feasible region. The results of the metric of spacing and runtime to solution also showed that the NSGA-II algorithm achieves the solution in lower runtime than the BCO algorithm and searches solutions space in a more uniform manner.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Closed-loop supply chain | Sustainability | Production routing
Trustworthy authorization method for security in Industrial Internet of Things
روش مجوز معتبر برای امنیت در اینترنت اشیا صنعتی-2021
Industrial Internet of Things (IIoT) realizes machine-to-machine communication and human–computer inter- action (HCI) through communication network, which makes industrial production automatic and intelligent. Security is critical in IIoT because of the interconnection of intelligent industrial equipment. In IIoT environment, legitimate human–computer interaction can only be performed by authorized professionals, and unauthorized access is not tolerated. In this paper, a reliable authentication method based on biological information is proposed. Specifically, the complete local binary pattern (CLPB) and the statistical local binary pattern (SLPB) are introduced to describe the local vein texture characteristics. Meanwhile, the contrast energy and frequency domain information are regarded as auxiliary information to interpret the finger vein. The distance between the features of the registration image and the test image is used to recognize the finger vein image, so as to realize identity authentication. The experiments are carried out on SDUMLA-FV database and FV-USM database, and results show that the presented method has achieved high recognition accuracy.
Keywords: Industrial Internet of Things (IIoT) | Human–computer interaction (HCI) | Biometric recognition | Comprehensive texture | Security system
Total fractional-order variation regularization based image reconstruction method for capacitively coupled electrical resistance tomography
روش بازسازی تصویر مبتنی بر تنظیم تغییرات مرتبه کسری کل برای توموگرافی مقاومت الکتریکی جفت شده خازنی-2021
Compared with electrical resistance tomography, capacitively coupled electrical resistance tomography (CCERT) is preferred since it avoids problems of electrode corrosion and electrode polarization. However, reconstruction of conductivity distribution is still a great challenge for CCERT. To improve reconstruction quality, this work proposes a novel image reconstruction method based on total fractional-order variation regularization. Simulation work is conducted and reconstruction of several typical models is studied. Robustness of the proposed method to noise is also conducted. Additionally, the performance of the proposed reconstruction method is quantitatively evaluated. We have also carried out phantom experiment to further verify the effectiveness of the proposed method. The results demonstrate that the quality of reconstruction has been largely improved when compared with the images reconstructed by Land weber, Newton-Raphson and Tikhonov methods. The inclusion is more accurately reconstructed and the background is much clearer even under the impact of noise.
Keywords: Capacitively coupled electrical resistance | tomography | Image reconstruction | Total fractional-order variation regularization
Accounting research and the significance test crisis
تحقیقات حسابداری و بحران آزمون اهمیت-2021
The emerging or at least threatening ‘‘significance test crisis” in accounting has been prompted by a chorus across multiple physical and social sciences of dissatisfaction with conventional frequentist statistical research methods and behaviors, particularly the use and abuse of p-levels. There are now hundreds of published papers and statements, echoing what has been said behind closed doors for decades, namely that much if not most empirical research is unreliable, simply wrong or at worst fabricated. The problems are a mixture of flawed statistical logic (as Bayesians have claimed for decades), ‘‘phacking” by way of fishing for significant results and publications, selective reporting or ‘‘the file drawer problem”, and ultimately the ‘‘agency problem” that researchers charged by funding bodies (their Universities, governments and taxpayers) with conducting disinterested ‘‘objective science” are motivated more by the personal need to publish and please other researchers. Expanding on that theme, the supply of empirical research in the ‘‘market for statistical significance” is described in terms of ‘‘market failure” and ‘‘the market for lemons”.
keywords: تحقیق حسابداری تجربی | آزمایشات | بحران تکثیر | سطحی | گزارش های ثبت شده | Empirical accounting research | Signiﬁcance tests | Replication crisis | p-levels | p-hacking | Registered reports
Evaluation of six commercial SARS-CoV-2 rapid antigen tests in nasopharyngeal swabs: Better knowledge for better patient management?
ارزیابی شش تست آنتی ژن سریع SARS-COV-2 در سواب های نازوفارنکس: دانش بهتر برای مدیریت بهتر بیمار؟-2021
Robust antigen point-of-care SARS-CoV-2 tests have been proposed as an efficient tool to address the COVID-19 pandemic. This requirement was raised after acknowledging the constraints that are brought by molecular biology. However, worldwide markets have been flooded with cheap and potentially underperforming lateral flow assays. Herein we retrospectively compared the overall performance of five qualitative rapid antigen SARS- CoV-2 assays and one quantitative automated test on 239 clinical swabs. While the overall sensitivity and specificity are relatively similar for all tests, concordance with molecular based methods varies, ranging from 75,7% to 83,3% among evaluated tests. Sensitivity is greatly improved when considering patients with higher viral excretion (Ct≤33), proving that antigen tests accurately distinguish infectious patients from viral shedding. These results should be taken into consideration by clinicians involved in patient triage and management, as well as by national authorities in public health strategies and for mass campaign approaches.
keywords: SARS-DONE-2 | تست های آنتی ژن سریع | rt-pcr | کووید -19 | SARS-CoV-2 | Rapid antigen tests | RT-PCR | COVID-19
Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions
در حال توسعه یک مدل دو مرحله ای برای یک زنجیره تامین حلقه بسته پایدار با تصمیمات قیمت گذاری و تبلیغات-2021
Closed-Loop Supply Chain (CLSC) has become a critical problem due to its effects on various factors including economic motivations, environmental concerns, and social impacts. Moreover, there are coordination tools, such as pricing and advertising, which impact its performance. In this paper, we offer a two-stage approach to model and solve a sustainable CLSC, taking into account pricing, green quality, and advertising. In the first stage, optimal decisions on pricing, greening, and advertising are made, while in the second stage, a fuzzy multi- objective Mixed Integer Linear Programming (MILP) model is used to maximize the total profit, reduce CO2 emissions, and improve social impacts. Suitable solution methods are introduced according to the scale of the problem. For small-scale instances, an augmented ϵ-constraint method is used to solve the problem. For large-scale instances, approximations are required, and a Lagrangian relaxation algorithm solves the problem in polynomial time. The performance of the proposed model is evaluated through various numerical examples. The results illustrate the applicability and efficiency of the model, while confirming significant improvements in sustainable objectives under optimal pricing, green quality, and advertising. Besides, the proposed Lagrangian relaxation method significantly reduces the computational time for large-scale instances, with only a 2.308% deviation from the optimal results.
Keywords: Sustainable closed-loop supply chain | Multi-objective programming | Supply chain pricing | Augmented ϵ-constraint | Lagrangian relaxation | CO2 emissions
Efficient biometric-based identity management on the Blockchain for smart industrial applications
مدیریت هویت مبتنی بر بیومتریک کارآمد در Blockchain برای کاربردهای صنعتی هوشمند-2021
In this work, we propose a new Blockchain-based Identity Management system for smart industry. First, we describe an efficient biometric-based anonymous credential scheme, which supports selective disclosure, suspension/thaw and revocation of credentials/entities. Our system provides non-transferability through a freshly computed hidden biometric attribute, which is generated using a secure fuzzy extractor during each authentication. This mechanism combined with offchain storage guarantees GDPR compliance, which is required for protecting user’s data. We define blinded (Brands) DLRep scheme to provide multi-show unlinkability, which is a lacking feature in Brands’ credential based systems. For larger organizations, we re-design the system by replacing the Merkle Tree with an accumulator to improve scalability. The new system enables auditing by adapting the standard Industrial IoT (IIoT) Identity Management Lifecycle to Blockchain. Finally, we show that the new proposal outperforms BASS, i.e. the most recent blockchain-based anonymous credential scheme designed for smart industry. The computational cost at the user-side (can be a weak IoT device) of our scheme is 8-times less than that of BASS. Thus, our system is more suitable for IIoT.© 2020 Elsevier B.V. All rights reserved.
Keywords: Identity management | Smart industry | Blockchain | Non-transferability | Biometrics | DLRep | Multi-show unlinkability | Selective disclosure | Accumulators