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1 |
Polar Codes for Quantum Reading
کدهای قطبی برای خواندن کوانتومی-2022 Quantum readout provides a general framework
for formulating statistical discrimination of quantum channels.
Several paths have been taken for such this problem. However,
there is much to be done in the avenue of optimizing channel
discrimination using classical codes. At least two open questions
can be pointed out: how to construct low complexity encoding
schemes that are interesting for channel discrimination and,
more importantly, how to develop capacity-achieving protocols.
This paper aims at presenting a solution to these questions
using polar codes. Firstly, we characterize the information rate
and reliability parameter of the channels under polar encoding.
We also show that the error probability of the scheme proposed
decays exponentially with the square root of the code length.
Secondly, an analysis of the optimal quantum states to be used
as probes is given. keywords: Quantum reading | polar codes | capacity achieving protocols. |
مقاله انگلیسی |
2 |
A brief review on recent development of multidisciplinary engineering in fermentation of Saccharomyces cerevisiae
مروری کوتاه بر توسعه اخیر مهندسی چند رشته ای در تخمیر ساکارومایسس سرویزیه-2021 Fermentation technology has unprecedented potential to upgrade state-of-art biotechnology and refine the
processes used in existing ones, taking into account of complex technical, economic and environmental factors.
Given the economic importance and ongoing challenges of biotech sector, multidisciplinary engineering technologies is poised to become an increasingly important tool along with the emergence of modern technology and
innovation. This article reviews recent technology advancement in the field of fermentation using Saccharomyces
cerevisiae. Interesting research progress has been made by leveraging multiple engineering fields such as electrical engineering, information engineering, electrochemical engineering and new material development, leading
to recent development of novel real-time probes (electronic nose technology, analysis of yeast morphology and
metabolites, timely control of glucose feed), improved understanding of electro-fermentation (enhanced electronic transfer provision), as well as application of cost-effective and sustainable materials (bioreactor vessel
manufactured from textile, and yeast immobilization support matrix made from abundant natural biomass). To
the best of our knowledge, the subject is reviewed for the first time in recent years. Furthermore, this review also
constitutes a futuristic S. cerevisiae fermentation process based on the recent advancement discussed.
Keywords: Probes | Bioprocess | Electro-fermentation | Materials | Process analytical technology |
مقاله انگلیسی |
3 |
Related variety as a driver of regional innovation and entrepreneurship: A moderated and mediated model with non-linear effects
تنوع مرتبط به عنوان محرک نوآوری و کارآفرینی منطقه ای: مدل تعدیل شده و واسطه ای با تأثیرات غیرخطی-2020 The notion of related variety has proved to be an important contribution to the literature on innovation-en- hancing regional knowledge externalities in different industry structures. Related variety provides a disen- tangled view of diversification based on the technological and cognitive proximity of different industries. The core hypothesis of this concept, which states that related variety fosters innovation and employment growth by facilitating knowledge spillovers, has gained increasing empirical support. To date, a relatively modest number of empirical studies have explicitly linked related variety to enhanced regional innovative output. The role of entrepreneurship has also received little attention in the literature, even though economic theory emphasizes that entrepreneurs have an important role in transforming spillovers of knowledge into innovation and growth. The purpose of this paper is to contribute to the extant literature on regional innovation with an analysis that probes deeper into the mechanism by which related variety fosters innovation, and to examine how knowledge appropriation mechanisms affects the entrepreneurial opportunities that external knowledge presents. Our empirical analysis employs a moderated and mediated model with non-linear knowledge spillover effects of related variety. We use panel data on 60 Swedish functional analysis regions for the years 2008–2016 and estimate fixed effects models to examine the relationships between related variety, regional innovation and entrepreneurship. Conceptually, our results disentangle the effects of regional knowledge stocks and related variety on the rate at which new ideas are commercialized through entrepreneurship. We find a substantial direct effect of knowledge stocks, and an important indirect effect via knowledge spillovers between cognitively similar firms. A key contribution of this paper is that we show that this effect is conditional on the extent towhich knowledge appropriation mechanisms are implemented, which has not been adressed in the literature on knowledge spillover effects of related variety before. Another novel contribution of this paper is that we find evidence of diminishing marginal returns to related variety with respect to innovation and entrepreneurship. Keywords: Related variety | Knowledge externalities | Entrepreneurship | Innovation |
مقاله انگلیسی |
4 |
تشخیص چهره عمیق با استفاده از داده های ناقص صورت
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 13 - تعداد صفحات فایل doc فارسی: 39 امروزه تشخیص چهره مبتنی بر کامپیوتر یک مکانیسم بالغ و قابل اطمینان است که به طور عمده برای بسیاری از سناریوهای کنترل دسترسی مورد استفاده قرار می گیرد. به این ترتیب که تشخیص چهره یا احراز هویت عمدتا با استفاده از داده های کامل از تصاویر جلوی صورت انجام می شود. اگرچه ممکن است در عمل کمتر این مورد پیش بیاید، اما موقعیت های متعددی وجود دارد که ممکن است تصاویر کامل جلوی صورت در دسترس نباشد - تصاویر چهره ناقص که اغلب از دوربین های مدار بسته می آیند، شامل این موارد هستند. از این رو، مسئله تشخیص چهره مبتنی بر رایانه با استفاده از اطلاعات جزئی به عنوان شاخص هنوز هم تا حد زیادی یک حوزه تحقیق ناشناخته است. با توجه به این که به طور ذاتی انسانها و رایانه ها در تشخیص چهره و احراز هویت متفاوت هستند، باید جالب و جذاب باشد که بدانند یک رایانه زمانی که با یک چالش تشخیص چهره روبرو می شود چگونه به اجرای مختلف صورت توجه می کند. در این کار، ما این پرسش را بررسی میکنیم که ایده تشخیص چهره با استفاده از اطلاعات جزئی صورت را در بر می گیرد. ما این مسئله را با استفاده از آزمایش های جدید برای تست عملکرد یادگیری ماشین با استفاده از تصاویر جزئی چهره و دستکاری های دیگر در تصاویر چهره مانند چرخش و زوم، که به عنوان سرنخهای آموزش و تشخیص استفاده شده است، مورد بررسی قرار دادیم. به طور ویژه، ما میزان تشخیص را با توجه به قسمت های مختلف صورت مانند چشم ها، دهان، بینی و گونه مطالعه می کنیم. ما همچنین به بررسی تشخیص چهره با چرخش صورت و بزرگنمایی تصویر صورت پرداختیم. آزمایشات ما بر اساس استفاده از معماری مبتنی بر شبکه عصبی پیچشی پیشرفته با مدل VGG-Face آموزش دیده از قبل است که از طریق آن ویژگی ها را برای یادگیری ماشین استخراج می کنیم. سپس از دو طبقه بند، يعني شباهت کوسینوسی و ماشین های بردار برای بررسی نرخهای تشخیص استفاده مي شود. ما آزمایش های ما را روی دو مجموعه داده عمومی که شامل FEI کنترل شده برزیل و مجموعه داده کنترل نشده LFW هستند انجام دادیم. نتایج ما نشان می دهد که بخش های منحصر به فرد چهره مانند چشم ها، بینی ها و گونه ها دارای نرخ تشخیص کم هستند، اما زمانی که بخش های فردی صورت ترکیب شده به عنوان شاخص معرفی می شوند، میزان تشخیص به سرعت در حال افزایش است.
کلمات کلیدی: تشخیص چهره | شبکه های عصبی کانولوشنال | یادگیری عمیق | شباهت کسینوسی |
مقاله ترجمه شده |
5 |
The role of stock market and banking sector development, and renewable energy consumption in carbon emissions: Insights from G-7 and N-11 countries
نقش توسعه بازار سهام و بخش بانکی و مصرف انرژی تجدید پذیر در انتشار کربن: بینش کشورهای G-7 و N-11-2019 This study probes the role of disaggregated financial development and renewable energy in carbon emissions by
incorporating gross fixed capital formation and economic growth in the function of carbon emissions. The financial
development is measured through the stock market and banking sector development. We also examine
the validity of the EKC hypothesis, using the data of G-7 and N-11 countries spanning from 1990 to 2016. The
integration properties of the considered variables are examined through second generation unit roots tests. The
Lagrange Multiplier (LM) bootstrap panel cointegration method has confirmed the long-run equilibrium relationship
among the variables for all the four models used. The long-run elasticity results suggest that renewable
energy increases environmental quality by reducing carbon emission intensity for both groups of panel
countries. Banking development index decreases carbon emissions in G-7 countries, while increases carbon
emissions in N-11 countries. Similarly, stock market development index increases carbon emissions in G-7
countries, while decreases in N-11 countries. Overall, economic growth and fixed capital formation impede
environmental quality by accelerating the intensity of carbon emissions. This study suggests policy implications
based on the empirical results for both groups of countries. Keywords: Carbon emissions | Stock market | Banking development | Renewable energy | Economic growth |
مقاله انگلیسی |
6 |
DNA-MnO2 nanosheets as washing- and label-free platform for array-based differentiation of cell types
نانوذرات DNA-MnO2 به عنوان سکوی شستشو و بدون برچسب برای تمایز مبتنی بر آرایه انواع سلول-2019 Accurate and facile differentiation of cell types is essential for accurate diagnosis and therapy of diseases.
However, it remains challenging due to low specificity, requirement of sophisticated instruments, and
tedious operation steps. Herein, a simple, washing- and label-free chemical tongue was constructed for
differentiation of cell types. In the array-based sensing platform, DNA-ligand ensembles adsorbed on the
surface of MnO2 nanosheets were used as sensing probes. Instead of aptamers from cell-SELEX, the
randomly designed DNA strands were used, offering versatile interactions with cells. The property that
MnO2 nanosheets can be degraded by intracellular glutathione makes the platform avoid the washing
step. Eight types of cell lines were distinguished from each other after the data were treated with
principal component analysis (PCA). In addition, a 95% of identification accuracy for the randomly
selected unknown samples was achieved. The strategy shows an excellent performance not only in
distinguishing cell lines but also in the identification of unknown cell samples. Keywords: Cell types | Pattern recognition | DNA-MnO2 nanosheets | Washing-free | Label-free |
مقاله انگلیسی |
7 |
Listening without ears: Artificial intelligence in audio mastering
گوش دادن بدون گوش: هوش مصنوعی در تسلط بر صدا-2018 Since the inception of recorded music there has been a need for standards and reliability across sound formats and
listening environments. The role of the audio mastering engineer is prestigious and akin to a craft expert combining
scientific knowledge, musical learning, manual precision and skill, and an awareness of cultural fashions and creative
labour. With the advent of algorithms, big data and machine learning, loosely termed artificial intelligence in this creative
sector, there is now the possibility of automating human audio mastering processes and radically disrupting mastering
careers. The emergence of dedicated products and services in artificial intelligence-driven audio mastering poses profound questions for the future of the music industry, already having faced significant challenges due to the digitalization of
music over the past decades. The research reports on qualitative and ethnographic inquiry with audio mastering engineers on the automation of their expertise and the potential for artificial intelligence to augment or replace aspects of
their workflows. Investigating audio mastering engineers’ awareness of artificial intelligence, the research probes the
importance of criticality in their labour. The research identifies intuitive performance and critical listening as areas where
human ingenuity and communication pose problems for simulation. Affective labour disrupts speculation of algorithmic
domination by highlighting the pragmatic strategies available for humans to adapt and augment digital technologies.
Keywords: Algorithmic cultures| artificial intelligence | audio post-production | criticality | machine learning | music technology |
مقاله انگلیسی |
8 |
آنتن پچ پهن باند نسل پنجم (5G) با تغذیه های پروب نامتقارن L شکل
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 5 - تعداد صفحات فایل doc فارسی: 19 آنتن پچ دو قطبشی که به وسیله ی جفت پروب های نامتقارن L شکل تغذیه می شود، ارائه شده است. ساختار دوقلو تغذیه پروب L شکل می تواند ظرفیت تغذیه را به آنتن برای کارکرد پهن باند ارائه کند. طول های دو تغذیه پروب L شکل یکسان هستند اما تغذیه ها نامتقارن هستند. این طراحی تغذیه می تواند تشعشع ناخواسته از پروب را کاهش دهد. آنتن دو قطبشی می تواند در باند فرکانسی 1580-2750 مگاهرتز عمل کند که سیستم های مخابراتی سیار ، 3G و 4G و فرکانس های باند بالاتر را در بر می گیرد. نمونه اولیه این آنتن با قطبش±〖45〗^0 مایل دوگانه برای اعتبارسنجی ساخته شده است. هر دو نتایج شبیه سازی و اندازه گیری نشان می دهد که آنتن پیشنهادی دارای پهنای باند وسیع 54٪ (SWR <2) با پترن های تشعشعی مطلوب جهتی در صفحات عمودی و افقی، و همچنین جداسازی بالای خیلی بهتر از -30 dB بین دو پورت ورودی است.
کلمات کلیدی: آنتن | آنتن تغذیه | آنتن باند پهن | دو قطبی | پچ آنتن | الگوهای تابش |
مقاله ترجمه شده |
9 |
Development of a machine vision system for determination of mechanical properties of onions
توسعه یک سیستم بینایی ماشین برای تعیین خواص مکانیکی پیاز-2017 In this research, a machine vision system was developed to measure the contact area and dimensions of agricultural samples in mechanical properties testing. Two probes were made of aluminum and round glass panes. The Universal Testing Machine was equipped with these probes. One camera was positioned inside the probe to monitor the contact area between probe and samples. Other camera was located out- side of probe to measure dimension of samples during the test. Onions were selected as study products and those mechanical properties were measured using this machine vision system. Also, to verify the results of this system, the mechanical properties were calculated using conventional methods. The effects of onion cultivars (red and yellow), loading direction (polar and equatorial) and loading speed (15 and 25 mm/min) on the size of contact area, the stress and strain, elasticity modulus and Poisson’s ratio were examined. The results showed that there was no any statistically significant differences between conven- tional method and our presented method at 99% confidence level. Therefore, a machine vision system can be replaced with conventional method. It was possible to assimilate the shape of contact area to a near perfect circle. The effect of loading direction on Poisson’s ratio and the loading speed on stress and elas- ticity modulus were significant. Red onions under polar loading with speed 15 mm/min had maximum Poisson’s ratio, stress and modulus of elasticity. The stress was obtained as 0.281 ± 0.044 MPa. The values of elasticity modulus were obtained as 2.56 ± 1.4 and 2.77 ± 1.8 MPa for yellow and red onions, respec- tively. The Poisson’s ratio along x and y axis were obtained as 0.393 ± 0.05 and 0.375 ± 0.07, respectively. Polar loading samples were easy to deform laterally compared to equatorial loading samples. The contact area, stress and Poisson’s ratio increased with increasing deformation while the modulus of elasticity decreased.© 2017 Elsevier B.V. All rights reserved. Keywords:Contact area | Image analysis | Machine vision | Modulus of elasticity | Onion | Poisson’s ratio |
مقاله انگلیسی |
10 |
A study on information sharing for supply chains with multiple suppliers
مطالعه در مورد به اشتراک گذاری اطلاعات برای زنجیره های عرضه با چند تامین کننده-2017 This study considers the coordination of a two-echelon supply chain with multiple suppliers, with which
information sharing is essential, since it can often enhance the performance of the supply chain, but may
also intensify the competition among members in the chain. In general, information sharing among chan
nel members can improve the efficiency of inventory holding by achieving better quality predictions of
demand. Nevertheless, sharing perfect information may often result in the problem of double marginal
ization; while sharing partial information may result in the problem of distortion between demand and
inventory, i.e., the bullwhip effect. This study probes into the impacts of information sharing on inventory
reduction and profit gains with consideration of possible promotion activities performed by the retailer,
which hinders the suppliers from accurately forecasting the market demand. It is found that, as the
demand of successive periods is more correlated, information sharing would have more impact on the
reduction of inventory level and total costs of the suppliers, i.e., information sharing is more valuable
as the correlation coefficient on successive demand increases.
Keywords: Supply chain coordination |Information sharing |
مقاله انگلیسی |