با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
31 |
A Quantum Mechanics-Based Framework for EEG Signal Feature Extraction and Classification
یک چارچوب مبتنی بر مکانیک کوانتومی برای استخراج و طبقهبندی ویژگی سیگنال EEG-2022 Quantum machine learning (QML) is an emerging research field, which is devoted to devising
and implementing quantum algorithms that could enable machine learning faster than that of classical computers. In this article, a hierarchic quantum mechanics-based framework is investigated to implement both
the feature extraction and classification in the electroencephalogram (EEG) signal. First, the classical EEG
signal dataset is prepared as a quantum state while the sign of the data point is preserved. The prepared quantum state is then evolved with the quantum wavelet packet transformation (QWPT) and the wavelet packet
energy entropy (WPEE) feature is extracted as the input of the subsequent quantum classifier. We finally propose the improved quantum support vector machine with the arbitrary nonlinear kernel, which is employed to
predict the label of the EEG signal. The complexity analysis indicates that the proposed framework provides
exponential speedup over the same structured classical counterpart. Besides, the quantitative experimental
results verify the feasibility and validity.
INDEX TERMS: Quantum machine learning | feature extraction | classification | EEG signal |
مقاله انگلیسی |
32 |
Capacities of Gaussian Quantum Channels With Passive Environment Assistance
ظرفیت های کانال های کوانتومی گاوسی با کمک محیط غیرفعال-2022 Passive environment-assisted communication takes
place via a quantum channel modeled as a unitary interaction
between the information carrying system and an environment,
where the latter is controlled by a passive helper, who can
set its initial state such as to assist sender and receiver, but
not help actively by adjusting her behaviour depending on
the message. Here we investigate the information transmission
capabilities in this framework by considering Gaussian unitaries
acting on Bosonic systems. We consider both quantum communication and classical communication with helper, as well as
classical communication with free classical coordination between
sender and helper (conferencing encoders). Concerning quantum
communication, we prove general coding theorems with and
without energy constraints, yielding multi-letter (regularized)
expressions. In the search for cases where the capacity formula is computable, we look for Gaussian unitaries that are
universally degradable or anti-degradable. However, we show
that no Gaussian unitary yields either a degradable or antidegradable channel for all environment states. On the other hand,
restricting to Gaussian environment states, results in universally
degradable unitaries, for which we thus can give single-letter
quantum capacity formulas. Concerning classical communication,
we prove a general coding theorem for the classical capacity
under an energy constraint, given by a multi-letter expression.
Furthermore, we derive an uncertainty-type relation between
the classical capacities of the sender and the helper, helped
respectively by the other party, showing a lower bound on the
sum of the two capacities. Then, this is used to lower bound the
classical information transmission rate in the scenario of classical
communication between sender and helper.
Index Terms: Quantum Gaussian channels | quantum Gaussian capacity | super-activation. |
مقاله انگلیسی |
33 |
Introducing an application of an industry 4:0 solution for circular supply chain management
معرفی کاربرد راه حل صنعت 4:0 برای مدیریت حلقه تأمین دایره ای-2021 In recent years, sustainable supply chain management practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. Within this perspective, a circular approach has been developed in the supply chain literature. Circular economy models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. In this paper an industry 4.0 waste-to- energy solution is developed and applied in a pilot case study comprised by a real-world supply chain to evaluate the sustainability performance of circular supply chain management (CSCM). The findings show that redesigning supply chains for circular economy with the use of Industry 4.0 technologies, can enable circular supply chain management. Clear benefits are provided linking the proposed solution to the six circular economy dimensions of the ReSOLVE model i.e. regenerate, share, optimize, loop, virtualise, and exchange. Improved availability of personnel (5% and 15%) and fleet resources (15%) are identified as some of the key quantitative benefits, while supply chain traceability through the full visibility and automation offered by the proposed solution, are some of the key non-quantifiable out- comes. The present work seeks to contribute to the existing literature by providing empirical evidence of how industry 4.0 and circular economy are applied in practice. Implications for managers and policy makers, along with the study limitations and further research paths are also presented.© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/). Keywords: Circular economy | Circular supply chain management (CSCM) | Industry 4.0 | Waste-to-energy | ReSOLVE model |
مقاله انگلیسی |
34 |
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 |
35 |
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 |
مقاله انگلیسی |
36 |
Towards resilient and sustainable supply of critical elements from the copper supply chain: A review
به سمت تأمین انعطاف پذیر و پایدار عناصر حیاتی از زنجیره تامین مس: یک مرور-2021 The highly specialized materials needed for the de-carbonization of energy, smart devices and the internet of things have created supply concerns of critical elements used in these applications. Several critical elements are produced as by-products from base metal mining and processing. Increasing the capture of critical elements from existing operations should lead to a more resilient and sustainable supply of these elements. Towards this goal, this paper presents a review of the distribution behavior of five critical elements (selenium, tellurium, arsenic, antimony and bismuth) through the primary copper pyrometallurgical supply chain. This review identifies gaps in the distribution/concentration data of these elements in deposits and during mineral processing. Smelter dusts, refinery slimes and electrolyte are points of enrichment that can be targeted for additional recovery of these elements. Using published data, copper smelter dusts appear to contain enough arsenic and bismuth to meet the world’s supply needs. Industrial data collected from 29 refineries and represents ~46% of the worlds electrorefining production was extrapolated to examine the contained annual content of these five elements. Copper anodes contain 7900 tones/yr of selenium, 2300 tonnes/yr of tellurium, 24,000 tones/yr arsenic, 7100tonnes/yr of antimony and 5100 tones/yr of bismuth. The selenium and tellurium contents are 2–3 times and 4–5 times more than the current world’s annual production of these elements, respectively. While technology development in the processing of smelter dusts and refinery slimes could provide important breakthroughs, government and corporate collaboration are likely needed to encourage increased recovery of selenium, tellurium, arsenic, antimony and bismuth from the primary copper pyrometallurgical supply chain. Keywords: Critical elements | Copper | Ore | Flotation | Smelting | Refining |
مقاله انگلیسی |
37 |
Reconfiguration of electrical distribution network-based DG and capacitors allocations using artificial ecosystem optimizer: Practical case study
پیکربندی مجدد تخصیص DG و خازن مبتنی بر شبکه توزیع الکتریکی با استفاده از بهینه ساز اکوسیستم مصنوعی: مطالعه موردی عملی-2021 In this article, a new implementation of Artificial Ecosystem Optimizer (AEO) technique
is developed for distributed generators (DGs) and capacitors allocation considering the Reconfiguration of Power Distribution Systems (RPDS). The AEO is inspired from three energy transfer
mechanisms involving production, consumption, and decomposition in an ecosystem. In the production mechanism, the production operator allows AEO to produce a new individual randomly,
whereas the search space exploration can be improved as illustrated in the consumption mechanism
and exploitation can be performed in the decomposition. A practical case study of 59-bus Cairo distribution system in Egypt is simulated with different loading percentages. For optimizing the performance of that practical network, the AEO algorithm is employed for different scenarios. Besides,
the results obtained by recent optimization techniques which are Jellyfish Search Optimizer (JFS),
Supply Demand Optimizer (SDO), Crow Search Optimizer (CSO), Particle Swarm Optimization
(PSO), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA) are compared
with the developed AEO. The simulation results demonstrate the efficacies and superiority of the
AEO compared to the others. It surpasses the other algorithms in terms of obtaining the best, mean,
worst, and standard deviations. After optimal RPDS and DGs placements, the power losses are
decreased by 78.4, 77.84 and 71.4% at low, nominal and high levels, respectively. However, the best
scenario with its application prospects is mentioned after optimal RPDS, DGs, and capacitors
where the power losses are decreased by 68.8, 85.87 and 89.91% at low, nominal and high levels,
respectively.
KEYWORDS: Artificial ecosystem optimizer | Distributed generators | Electrical systems | Power losses | Reconfiguration |
مقاله انگلیسی |
38 |
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 |
39 |
The choice of cooperation mode in the bioenergy supply chain with random biomass feedstock yield
انتخاب حالت همکاری در زنجیره تأمین انرژی زیستی با عملکرد خوراک زیست توده تصادفی-2021 A successful cooperation mode between bioenergy producers and farmers can effectively promote the supply of biomass feedstock, which plays an important role in the bioenergy industry. In this study, we examine two prevailing cooperation modes in bioenergy supply chain, namely contract farming (CF) and land as shares (LS). This study assesses how each cooperation mode influences the planting acreage, the feedstock quality and the profits of supply chain participants. Under CF, the farmer and the bioenergy producer sign a contract in which the bioenergy producer purchases all feedstock produced by the farmer. Under LS, the farmer converts their land use rights into company shares, so that the bioenergy producer will share part of sales revenue with the farmer. First, we find that the optimal planting scale of biomass feedstock under LS is larger than that under CF when the bioenergy market size is sufficiently large. If the market size is relatively small, the supply quantity of biomass feedstock under LS depends on the marginal value of feedstock quality. Second, when the bioenergy market is sufficiently large, the farmer and the bioenergy producer under LS can achieve a win-win situation, which improves the reliability of the bioenergy supply chain. Third, we extend our model to the case where the government implements subsidies for biomass feedstock. We find that when the subsidy is high enough, the biomass feedstock quantity under LS will be larger. In addition, government subsidy does not necessarily improve the profit of all supply chain participants and excessive government subsidy may adversely affect the reliability of the bioenergy supply chain. Keywords: Bioenergy supply chain | Contract farming | Land as shares | Government subsidy |
مقاله انگلیسی |
40 |
Comparison of electrical energy and power of PV with different cells materials in clear sky day condition
مقایسه انرژی الکتریکی و توان PV با مواد سلول های مختلف در شرایط روز آسمان صاف-2021 In present study, a comparison has been made on the basis of gain of the electrical energy and power
from solar cells or photovoltaic module. To evaluate the electrical energy and power, five different materials or cases have been considered, which are named as: case (i): c-Si, case (ii): p-Si, case (iii): a-Si, case
(iv): CdTe and case (v): CIGS. Each PV module has been considered for the analysis which dimension is
0.6051 m2. For case (i): PV cells are made of silicon crystalline, which is having 0.5 Volts and 4 Amp
and 36 cells are connected in series, which are producing 72 W. Such analysis has been studied for a clear
sky day condition, New Delhi, India. The comparative study is attempted to choose best for generating
electrical energy and power when high electrical enrgy demands in our society. It is also observed that
the maximum electrical energy and power have been found for case (i), whereas minimum for case
(iii), due to high PV cell temperature. The electrical energy and power have been 1.8 times higher in case
(i), than case (iii).
Keywords: Silicon materials | PV | Composite climate | Energy and power |
مقاله انگلیسی |