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ردیف | عنوان | نوع |
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91 |
Failure mode and reliability study for Electrical Facility of the High Temperature Engineering Test Reactor
بررسی حالت خرابی و قابلیت اطمینان برای تاسیسات الکتریکی راکتور آزمایشی مهندسی دما بالا-2021 The first-of-a-kind commercial electricity and hydrogen cogeneration system is being designed by the Japan
Atomic Energy Agency (JAEA) to establish the industrial application of the High Temperature Gas-cooled
Reactors (HTGR). The High Temperature Engineering Test Reactor (HTTR) is expected to be coupled with a
test cogeneration plant to demonstrate its safety features and justify further HTGR technology development.
The aim of this work was to assess the frequency of the unplanned outages of such a plant due to the failures of
the HTTR Electrical Facility. The system analysis has been performed followed by the Failure Mode and Effect
Analysis (FMEA). The new FMEA-based Gradual Screening Approach has been proposed and applied in order
to select the most relevant failure modes. The initial calculation performed for the standard configuration of
the system indicated that the reliability may be insufficient for its long-term commercial operation, as planned
for about 20 years. Therefore, several modifications of the design have been proposed, aiming at the reliability
enhancement. However, the updated results are still below the industrial standards. This opens up a new field
of research in reliability engineering and creates a challenge for the HTGR-based cogeneration plants consisting
of the joint nuclear-chemical facilities.
Keywords: HTTR reactor | Electrical Facility | FMEA-based Gradual Screening | Nuc-Chem facility | Reliability |
مقاله انگلیسی |
92 |
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 |
مقاله انگلیسی |
93 |
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 |
مقاله انگلیسی |
94 |
Social movements, identity and disruption in organizational fields: Accounting for farm animal welfare
جنبش های اجتماعی، هویت و اختلال در زمینه های سازمانی: حسابداری برای رفاه حیوانات مزرعه-2021 In this study we provide evidence on how accounting disclosures can motivate social
movement organizations (SMOs) to create a new source of normativity in an
organizational field, to impact upon firms through identity, image and culture. The
source of normativity, the Business Benchmark on Farm Animal Welfare (BBFAW), was
created as a means of accounting for farm animal welfare by food companies. Working
at the intersection of theories relating to organizational fields, social movements and
organizational identity, we investigate how the SMOs create the conditions for change
through their framing of farm animal welfare, collective action and the mobilization of
resources. Ideas such as institutional agency and institutional control are introduced to
explain the power dynamics that enable change. By interpreting the organizational field
as a relational space, identity, self-interest and intermittently-active fields provide
further constructs to explain behaviour. Evidence from BBFAW reports and publications
demonstrates how the NGOs employed a multi-period strategy to effect change. A
longitudinal company case study provides an illustration of the cascade of the
movement, demonstrating that there is more than an alignment of accounting
disclosures. New business opportunities arise, requiring a realignment of strategy, a
redesign of organizational architecture and participation of stakeholders. We illustrate
our findings through the creation of a framework which could be employed more widely
to study of sources of normativity in a relational field. This paper shows that accounting
disclosures have a role to play in creating a new normativity that generates social change.
keywords: رفاه حیوانات | هویت | هنجار | فیلترهای سازمانی و جنبش های اجتماعی | Animal welfare | Identity | Normativity | Organizational fields and social movements |
مقاله انگلیسی |
95 |
Efficient and sustainable closed-loop supply chain network design: A two-stage stochastic formulation with a hybrid solution methodology
طراحی شبکه زنجیره تامین حلقه بسته کارآمد و پایدار: یک فرمول تصادفی دو مرحله ای با روش راه حل ترکیبی-2021 In recent years, consumers and legislators have pushed companies to design their supply chain networks to consider environmental and social impacts as an important performance outcome. Due to the role of resource utilization as a key component of logistics network design, another primary goal of design is ensuring available scarce resources are used as efficiently as possible across all facilities. To address efficiency issues in a sustainable closed-loop supply chain network, a stochastic integrated multi-objective mixed integer nonlinear programming model is developed in this paper, in which sustainability outcomes as well as efficiency of facility resource utilization are considered in the design of a sustainable supply chain network. In doing so, efficiency is assessed using a bi-objective output-oriented data envelopment analysis model. A hybrid three-step solution methodology is presented that creates a linear form of the original mixed integer nonlinear programming problem using piecewise McCormick envelopes approach. In the second step, an aggregated single objective programming model is derived by exploiting the multi-choice goal programming. Finally, a Lagrangian relaxation algorithm is developed to effectively solve the latter stochastic single objective mixed integer linear programming problem. The application of the proposed approach is investigated with data drawn from a case study in the electronics industry. This case study illustrates how firms may balance sustainability and efficiency in the supply chain network design problem. Further, it demonstrates the integration of efficiency results in improving economic aspects of sustainability as well as social responsibility outcomes, but also highlights the trade-offs that exist between efficiency and environmental impacts. Keywords: Closed-loop supply chain network | Sustainability | Data envelopment analysis | Stochastic programming | Multi-choice goal programming | Lagrangian relaxation |
مقاله انگلیسی |
96 |
Comparative educational outcomes of an active versus passive learning continuing professional development activity on self-management support for respiratory educators: A non-randomized controlled mixed-methods study
نتایج آموزشی مقایسهای فعالیت توسعه حرفهای مستمر یادگیری فعال در مقابل غیرفعال بر حمایت خودمدیریتی از مربیان تنفسی: یک مطالعه با روشهای ترکیبی کنترلشده غیرتصادفی-2021 Aim: We compared educational outcomes associated with an active vs. passive continuing professional development activity on self-management support for respiratory educators.
Background: There is a need to identify learning activities associated with the most successful continuing professional development programs for respiratory educators.
Design: This was a non-randomized controlled mixed-methods study recruiting respiratory educators attending a
continuing professional development activity on self-management support.
Methods: In the experimental group, active learning methods (role-play simulations) were employed, whereas
passive learning methods (lecture) were used in the comparison group. Educators were allocated to the comparison group (first 15 months of the study), then to the experimental group (last 17 months). Educators filled
questionnaires measuring pre-/post-activity knowledge about self-management support (score 0–25) and selfreported competence (score 1–10). Scores were compared using mixed-effect models. Interviews with educators were conducted and content analysis was performed.
Results: We recruited 94/94 educators (active: n = 51; passive: n = 43). Knowledge scores increased to a greater
extent in the active vs. passive learning group (adjusted difference-in-difference [aDID]=2.01; 95% confidence
interval [95%CI]: 0.14–3.88), although competence scores increased to a greater extent in the passive learning
group (aDID=− 0.38; 95%CI: − 1.56 to − 0.04). Reflecting on their competence, educators of the active learning
group identified the need to further improve their self-management support skills, whereas educators of the
passive learning group did not.
Conclusions: Our results show that an active learning continuing professional development activity on selfmanagement support could help educators to better apply knowledge and appears to engage them in a process of reflection on action.
keywords: Chronic obstructive pulmonary disease | Continuing education | Mixed methods | Patient education as topic | Self-management support |
مقاله انگلیسی |
97 |
A novel multi-lead ECG personal recognition based on signals functional and structural dependencies using time-frequency representation and evolutionary morphological CNN
تشخیص شخصی نوار قلب ECG مبتنی بر وابستگی های عملکردی و ساختاری سیگنالها با استفاده از نمایش فرکانس زمان و CNN مورفولوژیکی تکاملی-2021 Biometric recognition systems have been employed in many aspects of life such as security technologies, data protection, and remote access. Physiological signals, e.g. electrocardiogram (ECG), can potentially be used in biometric recognition. From a medical standpoint, ECG leads have structural and functional dependencies. In fact, precordial ECG leads view the heart from different axial angles, whereas limb leads view it from various coronal angles. This study aimed to design a personal biometric recognition system based on ECG signals by estimating these latent medical variables. To estimate functional dependencies, within-correlation and cross- correlation in time-frequency domain between ECG leads were calculated and represented in the form of extended adjacency matrices. CNN trees were then introduced through genetic programming for the automated estimation of structural dependencies in extended adjacency matrices. CNN trees perform the deep feature learning process by using structural morphology operators. The proposed system was designed for both closed-set identification and verification. It was then tested on two datasets, i.e. PTB and CYBHi, for performance evaluation. Compared with the state-of-the-art methods, the proposed method outperformed all of them. Keywords: Biometrics | Electrocardiogram | Functional dependencies | Structural dependencies | Genetic programming | Convolutional neural networks |
مقاله انگلیسی |
98 |
Chemical adsorption on 2D dielectric nanosheets for matrix free nanocomposites with ultrahigh electrical energy storage
جذب شیمیایی روی نانوصفحات دی الکتریک دوبعدی برای نانوکامپوزیت های بدون ماتریس با ذخیره انرژی الکتریکی فوق العاده بالا-2021 Relaxor ferroelectric polymers display great potential in capacitor dielectric applications because of their
excellent flexibility, light weight, and high dielectric constant. However, their electrical energy storage
capacity is limited by their high conduction losses and low dielectric strength, which primarily originates
from the impact-ionization-induced electron multiplication, low mechanical modulus, and low thermal
conductivity of the dielectric polymers. Here a matrix free strategy is developed to effectively suppress
electron multiplication effects and to enhance mechanical modulus and thermal conductivity of a dielectric polymer, which involves the chemical adsorption of an electron barrier layer on boron nitride
nanosheet surfaces by chemically adsorbing an amino-containing polymer. A dramatic decrease of leakage current (from 2.4 106 to 1.1 107 A cm2 at 100 MV m1) and a substantial increase of breakdown strength (from 340 to 742 MV m1) were achieved in the nanocompostes, which result in a
remarkable increase of discharge energy density (from 5.2 to 31.8 J cm3). Moreover, the dielectric
strength of the nanocomposites suffering an electrical breakdown could be restored to 88% of the original
value. This study demonstrates a rational design for fabricating dielectric polymer nanocomposites with
greatly enhanced electric energy storage capacity.
Keywords: Boron nitride nanosheets | Electron barrier layer | Relaxor ferroelectric polymers | Nanocomposites | Electrical energy storage |
مقاله انگلیسی |
99 |
Becoming a scholarly management practitioner – Entanglements between the worlds of practice and scholarship
تبدیل شدن به یک متخصص مدیریت علمی - درهم تنیدگی بین دنیای عمل و بورسیه-2021 Our contribution in this paper is to elucidate how doctoral education can enable professionals to
develop through an experiential pedagogy that is based on a theoretical model of scholarly
management practice. It will draw from our experience of designing and running a large online
DBA with participants from across the world. We present a model of Scholarly Management
Practice and explain how its use differentiates this approach to doctoral education from others in
that there is a clear focus on how holders of the DBA enact their management practice, charac-
terized by an orientation to problematization, inquiry, dialogue and critical reflection. We
describe the design and underlying theoretical and philosophical rationale for how the program
elements articulate together to stimulate the development of scholarly management practitioners.
The implications for teaching and learning are presented in the form of a description and ratio-
nale for the design of the program in its three stages. We illustrate the trajectory of potential
development as a doctoral practitioner through the vignette of one student’s journey. We also
reflect on the limitations and lessons learned of our own theorising and practice in the devel-
opment and delivery of this DBA. keywords: Doctoral education | Scholarly practice | Online learning | Management education | DBA |
مقاله انگلیسی |
100 |
Integrating corporate website information into qualitative assessment for benchmarking green supply chain management practices for the chemical industry
ادغام اطلاعات وب سایت شرکت ها در ارزیابی کیفی برای محک زدن شیوه های مدیریت زنجیره تامین سبز برای صنایع شیمیایی-2021 The China’s chemical industry has been endeavoring to promote sustainable development through practicing green supply chain management (GSCM). This paper proposes a multi-criteria decision framework with twenty practices to guide companies in the industry to enact GSCM effectively. The exploratory factor analysis (EFA) has been used to cluster the proposed practices. We found five aspects, including economic initiatives, environmental management, eco-design, resource recycling, and stakeholder and employee, constitute the underlying structure of GSCM. A mixed decision tool combining the entropy weight method (EWM) and the analytic hierarchy process (AHP) has been developed and applied to identify key factors. Official website information has been collected and used to analyse the website contents of five benchmarking companies in the China’s chemical industry. The results reveal that the aspects of environmental management, eco-design and resource recycling are the most important GSCM themes. Moreover, the top five practices are top management support, performing life cycle assessment, managing environmental risks, advancing recycling technologies and integrating reverse logistics. Conceptual and practical implications are discussed. Keywords: Environmental management | Eco-design | Resource recycling | Entropy weight | Analytic hierarchy process | Decision analysis |
مقاله انگلیسی |