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).
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1 |
Plant leaf disease detection using computer vision and machine learning algorithms
تشخیص بیماری برگ گیاه با استفاده از بینایی کامپیوتری و الگوریتم های یادگیری ماشین-2022 Agriculture provides food to all the human beings even in case of rapid increase in the population. It is recom-
mended to predict the plant diseases at their early stage in the field of agriculture is essential to cater the food to
the overall population. But it unfortunate to predict the diseases at the early stage of the crops. The idea behind
the paper is to bring awareness amongst the farmers about the cutting-edge technologies to reduces diseases in
plant leaf. Since tomato is merely available vegetable, the approaches of machine learning and image processing
with an accurate algorithm is identified to detect the leaf diseases in the tomato plant. In this investigation, the
samples of tomato leaves having disorders are considered. With these disorder samples of tomato leaves, the farm-
ers will easily find the diseases based on the early symptoms. Firstly, the samples of tomato leaves are resized to
256 × 256 pixels and then Histogram Equalization is used to improve the quality of tomato samples. The K-means
clustering is introduced for partitioning of dataspace into Voronoi cells. The boundary of leaf samples is extracted
using contour tracing. The multiple descriptors viz., Discrete Wavelet Transform, Principal Component Analysis
and Grey Level Co-occurrence Matrix are used to extract the informative features of the leaf samples. Finally,
the extracted features are classified using machine learning approaches such as Support Vector Machine (SVM),
Convolutional Neural Network (CNN) and K-Nearest Neighbor (K-NN). The accuracy of the proposed model is
tested using SVM (88%), K-NN (97%) and CNN (99.6%) on tomato disordered samples. keywords: شبکه های عصبی کانولوشنال | تبدیل موجک گسسته | تجزیه و تحلیل مؤلفه های اصلی | نزدیکترین همسایه | بیماری برگ | Convolutional Neural Networks | Discrete Wavelet Transform | Principal Component Analysis | Nearest Neighbor | Leaf disease |
مقاله انگلیسی |
2 |
A Modified Key Sifting Scheme With Artificial Neural Network Based Key Reconciliation Analysis in Quantum Cryptography
یک طرح غربال کلید اصلاح شده با تحلیل آشتی کلید مبتنی بر شبکه عصبی مصنوعی در رمزنگاری کوانتومی-2022 Quantum Cryptography emerged from the limitations of classical cryptography. It will play a
vital role in information security after the availability of expected powerful quantum computers. Still many
quantum primitives like quantum money, blind quantum computation, quantum copy protection, etc. are
theoretical as they require a completely functional quantum computer for their implementation. But one
prominent quantum cryptographic primitive, the Quantum Key Distribution (QKD) is possible with current
technology. The QKD is a key establishment system having several stages namely raw key generation, key
sifting, key reconciliation, and privacy amplification. In this paper, an efficient key sifting scheme has been
developed. Successful simulation has shown that the proposed modified key sifting scheme requires less
time to build the sifted key compared to the sifted key in conventional BB84 protocol in most cases. This
paper also represents Tree Parity Machine (TPM) based key reconciliation analysis using different learning
algorithms such as Hebbian, Anti-Hebbian, and Random-Walk. This reconciliation analysis helps to choose
the optimum learning algorithm for Artificial Neural Network (ANN) based key reconciliation in future
Quantum Key Distribution systems.
INDEX TERMS: Artificial neural network | BB84 protocol | key sifting | key reconciliation | learning algorithms | quantum key distribution | quantum cryptography. |
مقاله انگلیسی |
3 |
Efficiency assessment in co-production systems based on modified emergy accounting approach
ارزیابی کارایی در سیستم های تولید مشترک بر اساس رویکرد حسابداری اضطراری اصلاح شده-2021 Emergy accounting in a system with co-production branch is of great scientific interest since each branch cor-
responds to a different transformity value. In previous studies, limitations associated with emergy accounting in
co-production systems have been highlighted where some “inputs” have to be added to obtain a “useful” product
from a “co-product” – giving rise to inaccuracies in the emergy accounting process. To address these method-
ological aspects of emergy assessment in co-production systems, a modified physical quantity method (MPQM) –
that goes in line with the standard emergy algebra – has been proposed in order to provide a different perspective
for accounting co-products efficiency. The robustness of MPQM has been verified by taking the case study of
Eucalyptus pulp production and a comparison is made against conventional and energy/exergy weighting
methods. As per the results, MPQM was able to provide accurate results for co-production systems as compared
with other emergy accounting methods. However, the case of Eucalyptus pulp production was found to be
“inefficient” following the MPQM approach. These findings are expected to strengthen the methodological as-
pects of emergy accounting based on the physical quantity criterion. keywords: ظهور | سیستم تولید همکاری | روش فیزیکی اصلاح شده | دگرگونی | ارزیابی کارایی | Emergy | Co-production system | Modified physical quantity method | Transformity | Efficiency assessment |
مقاله انگلیسی |
4 |
Revised notched coating adhesion test to account for plasticity and 3D behaviour
تست چسبندگی پوشش بریدگی اصلاح شده برای محاسبه انعطاف پذیری و رفتار سه بعدی-2021 Specialized polyamide-imide coating on a CuSn10Pb10 substrate, a material combination utilized often in
modern bearing applications, is fabricated using the solvent casting method. The coating adhesion is studied
using the well-known notched coating adhesion (NCA) test. Conventionally, the critical strain required to cause
the debond propagation is determined by visual observation and indirectly linked to measured strain data to
calculate fracture toughness. Here, digital image correlation (DIC) is used to systemically study the coating
deformations during testing that enables quantitative determination of the instantaneous debond length. With
the introduced method, the critical strain to induce the debond of the coating and the propagation of the
debond can be determined for non-elastically behaving specimens reliably. The coating’s debond onset is
studied with virtual crack closure technique (VCCT) here. The method can take 3D effects into account in
detail and provides a sophisticated method to determine the critical energy release rate. Additionally, cohesive
zone modelling (CZM) is used to simulate debond progression. Nonlinear stress–strain responses are observed
taking place both with the coating and the substrate materials. The results emphasize that the coating plasticity
has a remarkable role in the test behaviour which needs to be taken into account in the revised analysis.
Keywords: Notched coating adhesion | Fracture toughness | Digital image correlation | Polyamide-imide | Virtual crack closure technique | Cohesive zone model |
مقاله انگلیسی |
5 |
Prediction of perforation into concrete accounting for saturation ratio influence at high confinement
پیش بینی سوراخ شدن در بتن برای تأثیر نسبت اشباع در محصور شدن بالا-2021 This paper provides both an analytical and a finite element models aiming at better predicting possible perfo-
ration of reinforced concrete slabs submitted to impacts. Both models account for free water saturation ratio and
high triaxial stress induced into concrete by the impact. Finite element simulations are performed with Abaqus
explicit code using a revised constitutive model for concrete; this coupled damage plasticity model (PRM) ac-
counts for strain rate effects and the influence of saturation ratio on the triaxial behavior. Complementary
original analytical predictions of ballistic limit and residual velocities are provided for both hard and soft im-
pacts. These predictions depend on a recent deviatoric stress-based formulation of compressive strength of
concrete. Numerical and analytical results are consistent with bending and punching experimental tests. keywords: اثرات نرم و سخت | سرعت باقی مانده | بتن آرمه | ظرفیت سوراخ کردن | نسبت اشباع | Soft and hard impacts | Residual velocity | Reinforced concrete | Perforation capacity | Saturation ratio |
مقاله انگلیسی |
6 |
بهبود سرمایه گذاری پویا در زمینه ارتقا و حفظ فناوری مدیریت فهرست موجودی از طریق الگوریتم اصلاح شده گرده افشانی گل
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 16 - تعداد صفحات فایل doc فارسی: 33 نرخ سرمایه گذاری پویا در تبلیغاتبر حسب دامنه قیمت مختلف و سرمایه گذاری بهینه در فناوری نگهداری برای محصولات مد روز به ازای طول عمر آنها تعیین می گردد. مدل فهرست موجودی میزان سفارش برای اقلام از بین رفتنی با قیمت تبلیغاتی و میزان نقاضا نوع ذوزنقه ای برای بشینه سازی سود خرده فروش به کار می رود. میزان از بین رفتگی به فناوری نگهداری بستگی دارد به عبارتی هر چه سرمایه گذاری در نگه داری بیشتر باشد، میزان از بین رفتگی کمتر خواهد بود. هدف این مقاله دستیابی به سرمایه گذاری پویا بهینه برای تبلیغات است. نظریه کنترل بهینه برای دستیابی به میزان سرمایه گذاری پویا همراه با الگوریتم گرده افشانی گل برای یافتن طرح قیمت گذاری، زمان بندی پرکردن مجدد انبار به کار می رود. تحلیل حساسیت با توجه به پارامترهای اصلی انجام شده است تا تازگی الگوریتم ثابت گردد و نگرش های مدیریتی مدل مطرح شده بررسی گرد.مطالعات عددی نشان می دهند سرمایه گذاری پویا برای مدیریت انبار مزیت بخش است.
واژگان کلیدی: سرمایه گذاری پویا | الگوریتم گرده افشانی گل | فناوری نگه داری | تبلیغات | تقاضا نوع ذوزنقه ای | بازاریابی |
مقاله ترجمه شده |
7 |
Pain management in the older adult: The relationship between nurses knowledge, attitudes and nurses practice in Ireland and Jordan
مدیریت درد در بزرگسالان سالخورده: رابطه بین دانش پرستاران، نگرش ها و تمرین پرستاران در ایرلند و اردن-2021 Background: Research studies regarding nurses’ knowledge attitudes and practice in the older adult are limited.
Furthermore, none of these studies attempted to investigate the relationship between knowledge attitudes and
practice. Furthermore, little studies compared nurses’ knowledge, attitudes and practice between Eastern and
Western countries.
Aim: To describe the factors associated with nurses’ acute pain management practice in the context of caring for
older adult patients.
Method: A quantitative, correlational, comparative and cross-sectional survey approach.
Data collection: Data were collected using survey questionnaire.
Sample: A sample of 267 registered nurses from Ireland and Jordan (one private hospital in each country).
Results: A multiple linear regression analysis revealed that nurses’ general knowledge and attitude towards pain
management was associated with their pain management practice, with a regression coefficient of 0.14 (p =
0.002). However, knowledge of pain in the elderly failed to reach a statistically significant relationship with pain
management practice. In regards to country and gender, Irish nurses had an average score that was 2.61 points
higher than Jordanian nurses (p < 0.001), female nurses had an average score that was 0.67 points higher than
male nurses (p = 0.025). The overall regression model was significant (p < 0.001) with an R2 value of 43.2%,
indicating that 43.2% of the variation in scores was explained by knowledge, attitude and practice.
Conclusion: More research studies combining the three concepts (knowledge, attitude and practice) are recom-
mended in the area of pain management. keywords: ارزیابی درد | مدیریت درد | تمرین درد | بزرگسالان قدیمی تر | Pain assessment | Pain management | Pain practice | Older adult |
مقاله انگلیسی |
8 |
Comparative life cycle analysis of a biodegradable multilayer film and a conventional multilayer film for fresh meat modified atmosphere packaging – and effectively accounting for shelf-life
تجزیه و تحلیل چرخه زندگی مقایسهای یک فیلم چند لایه زیست تخریبپذیر و یک فیلم چند لایه معمولی برای بستهبندی با اتمسفر اصلاحشده گوشت تازه - و به طور موثری برای محاسبه مدت ماندگاری-2021 Life cycle analyses of novel food packaging materials do not often account for the environmental impact of a
change in shelf-life, which can result in misleading comparisons. This paper established a methodology for
comparative life cycle analyses, whereby the direct effects of the lidding films were compared whilst ensuring the
indirect effects of the wasted food portion remained stable. Global warming potential and non-renewable energy
use were analysed for a conventional (low-density polyethylene/ethylene vinyl alcohol) versus a biodegradable
(polyhydroxyalkanoate/butenediol vinyl alcohol) multilayer lidding film for modified atmosphere packaging of
minced beef. Two methodologies were investigated. The first (metric one) changed the barrier layer thickness in
the biodegradable film to match the carbon dioxide transmission rate with that of a conventional film. The
second (metric two) changed the barrier layer thickness to match a carbon dioxide transmission rate predicted by
a mathematical model to ensure the same shelf-life as the conventional film. Using metric two over metric one
resulted in 1) a thinner film 2) 2.3 times lower global warming potential. When using sugar beet as the
biopolymer feedstock and the current UK disposal system, the biodegradable film had 135% higher global
warming potential than the conventional film. By incorporating waste products and better farming practices, the
global warming potential of the biodegradable film could be up to 92% lower than that of the conventional film.
This work demonstrates how shelf-life can be incorporated into life cycle analyses and the importance of ac-
counting for it, in particular when evaluating biodegradables which often have higher permeabilities. keywords: تجزیه و تحلیل چرخه زندگی | لایه مانع | فیلم لجن | بسته بندی گوشت | عمر مفید | زباله های مواد غذایی | Life cycle analysis | Barrier layer | Lidding film | Meat packaging | Shelf-life | Food waste |
مقاله انگلیسی |
9 |
The development of complex and controversial innovations. Genetically modified mosquitoes for malaria eradication
توسعه نوآوری های پیچیده و بحث برانگیز. پشه های اصلاح شده ژنتیکی برای ریشه کن کردن مالاریا-2020 When there is significant uncertainty in an innovation project, research literature suggests that strictly sequencing
actions and stages may not be an appropriate mode of project management. We use a longitudinal
process approach and qualitative system dynamics modelling to study the development of genetically modified
(GM) mosquitoes for malaria eradication in an African country. Our data were collected in real time, from early
scientific research to deployment of the first prototype mosquitoes in the field. The gene drive technology for
modifying the mosquitoes is highly complex and controversial due to risks associated with its characteristics as a
living, self-replicating technology. We show that in this case the innovation journey is linear and highly
structured, but also embedded within a wider system of adoption that displays emergent behaviour. Although
the need to control risks associated with the technology imposes a linearity to the NPD process, there are
possibilities for deviation from a more structured sequence of stages. This arises from the effects of feedback
loops in the wider system of evidence creation and learning at the population and governance levels, which
cumulatively impact on acceptance of the innovation. The NPD and adoption processes are therefore closely
intertwined, meaning that the endpoint for R&D and beginning of mainstream adoption and diffusion are unclear.
A key challenge for those responsible for NPD and its regulation is to plan for the adoption of the technology
while simultaneously conducting its scientific and technical development. Keywords: New product development | Adoption | Genetically modified mosquitoes | Living technology | Gene drive | Malaria |
مقاله انگلیسی |
10 |
A symbolic computational approach to finding solutions and conservation laws for (3 + 1)-dimensional modified BBM models
یک روش محاسباتی نمادین برای یافتن راه حل ها و قوانین حفاظت از مدل های BBM اصلاح شده بعدی (3 + 1)-2020 In this work three recently introduced (3 + 1)-dimensional nonlinear modified
Benjamin-Bona-Mahony equations are studied from the modern group-theoretical analysis standpoint.
The (3 + 1)-dimensional nonlinear differential equations are considered to be more realistic
equations compared to the (1 + 1) and (2 + 1)-dimensional equations. Here we construct soliton
and Jacobi elliptic function solutions of these three underlying equations and compute their conservation
laws by employing Noether’s approach. The obtained solutions are presented graphically.
2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria. KEYWORDS : (3 + 1)-dimensional modified | BBM equations | Jacobi elliptic function solutions | Noether symmetries | Conservation laws |
مقاله انگلیسی |