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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یادگیری عمیق برای تشخیص اشیا و درک صحنه در خودروهای خودران: نظرسنجی ، چالش ها و مسائل باز
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 20 - تعداد صفحات فایل doc فارسی: 82 این مقاله یک بررسی جامع از کاربرد های یادگیری عمیق برای تشخیص اشیا و درک صحنه در وسایل نقلیه خودران ارائه میکند. برخلاف مقالات مروری موجود ، ما تئوری زیربنایی وسایل نقلیه خودران را از منظر یادگیری عمیق و پیاده سازی های فعلی بررسی میکنیم وبه دنبال آن ارزیابی های انتقادی آن ها انجام میشود. یادگیری عمیق یکی از راه حل های بالقوه برای مشکلات تشخیص اشیا و درک صحنه است که میتواند خودروهای الگوریتم محور و داده محور را فعال کند. در این مقاله قصد داریم از طریق یک نظرسنجی جامع ، شکاف بین یادگیری عمیق و خودروهای خودران را پر کنیم. ما با مقدمه ای برماشین های خودران، یادگیری عمیق و بینایی کامپیوتری و سپس مروری بر هوش عمومی مصنوعی شروع میکنیم. سپس، کتابخانه های قدرتمند یادگیری عمیق موجود و نقش و اهمیت آنها در رشد یادگیری عمیق را طبقه بندی می کنیم. در نهایت، ما چندین تکنیک را مورد بحث قرار میدهیم که به مسائل مربوط به درک تصویر در رانندگی بلادرنگ میپردازد، و پیاده سازی ها و آزمایش های اخیر انجام شده بر روی خودروهای خودران را به طور انتقادی ارزیابی میکنیم. یافته ها و اقدامات در مراحل مختلف برای ارتباط بین تکنیک های رایج و آینده نگر، و کاربرد، مقیاس پذیری و امکان پذیری یادگیری عمیق در خودروهای خودران برای دستیابی به رانندگی ایمن بدون دخالت انسان خلاصه شده اند. بر اساس نظرسنجی فعلی، چندین توصیه برای تحقیقات بیشتر درپایان این مقاله موردبحث قرار گرفته است.
کلید واژه ها: ماشین ها ی خودران | سطوح اتوماسیون | یادگیری ماشین | یادگیری عمیق | شبکه های عصبی کانولوشنال | درک صحنه | تشخیص اشیا | همجوشی حسگر چند وجهی | LiDAR | بینایی ماشین | ابتکارات رانندگی مستقل |
مقاله ترجمه شده |
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Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
یادگیری عمیق برای تشخیص شی و درک صحنه در اتومبیل های خودران: بررسی ، چالش ها و مسائل باز-2021 This article presents a comprehensive survey of deep learning applications for object detection and scene
perception in autonomous vehicles. Unlike existing review papers, we examine the theory underlying self-driving
vehicles from deep learning perspective and current implementations, followed by their critical evaluations. Deep
learning is one potential solution for object detection and scene perception problems, which can enable algorithm driven and data-driven cars. In this article, we aim to bridge the gap between deep learning and self-driving cars
through a comprehensive survey. We begin with an introduction to self-driving cars, deep learning, and computer
vision followed by an overview of artificial general intelligence. Then, we classify existing powerful deep learning
libraries and their role and significance in the growth of deep learning. Finally, we discuss several techniques that
address the image perception issues in real-time driving, and critically evaluate recent implementations and tests
conducted on self-driving cars. The findings and practices at various stages are summarized to correlate prevalent
and futuristic techniques, and the applicability, scalability and feasibility of deep learning to self-driving cars for
achieving safe driving without human intervention. Based on the current survey, several recommendations for
further research are discussed at the end of this article.
Keywords: Self-driving cars | Levels of automation | Machine learning | Deep learning | Convolutional neural networks | Scene perception | Object detection | Multimodal sensor fusion | LiDAR | Computer vision | Autonomous driving initiatives |
مقاله انگلیسی |
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A Review of Food Fraud and Food Authenticity across the Food Supply Chain, with an Examination of the Impact of the COVID-19 Pandemic and Brexit on Food Industry
مروری بر تقلب غذایی و اصالت مواد غذایی در سراسر زنجیره تأمین مواد غذایی ، با بررسی تأثیر همه گیر COVID-19 و Brexit در صنایع غذایی-2021 Background
Food fraud is the deliberate and intentional act of substituting, altering or misrepresenting foodstuff for financial gain. Economical motivations for food fraud result in criminals focusing on opportunities to commit fraud rather than targeting specific products, thus reducing the probability of food fraud being detected. Although primarily for financial gain, food fraud can impact consumer wellbeing. Therefore, authenticating food is a key stage in protecting consumers and the supply chain. Food manufacturers, processors and retailers are increasingly fighting back as occurrences of food fraud become more prevalent, resulting in a greater focus on detection and prevention.
Scope and approach The aim of this review paper is to highlight and assess food fraud and authenticity throughout the food supply chain. Food fraud is a significant issue across the food industry, with many high-profile cases coming to public attention. Hence, this paper shall discuss the impact of food fraud on both consumers and manufacturers, the current and future trends in food fraud and methods of defence that are currently in use. Furthermore, emerging issues, such as the COVID-19 pandemic and Brexit, shall be discussed alongside the challenges they yield in terms of food fraud detection and prevention. Key findings and conclusions The incidence of food fraud is diverse across the sector, rendering it difficult to quantify and detect. As such, there are numerous food safety and traceability systems in use to ensure the safety and authenticity of food. However, as food fraud continues to diversify and evolve, current methods of detection for guaranteeing authenticity will be drastically challenged. Issues, such as the COVID-19 pandemic and Brexit, have instigated increased demand for food. This combined with reduced industry inspections, weakened governance, audits and ever-increasing pressure on the food industry has exposed greater weaknesses within an already complex system. KEYWORDS: Food Fraud | Food Authenticity | Food Supply Chain | COVID-19 Pandemic | Brexit | Traceability Systems |
مقاله انگلیسی |
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Review on performance assessment of phase change materials in buildings for thermal management through passive approach
مروری بر ارزیابی عملکرد مواد تغییر فاز در ساختمانها برای مدیریت حرارتی از طریق رویکرد غیرفعال-2020 Latent heat energy storage (LHES) systems using phase change materials (PCMs) are well known for its
excellent thermal energy storage and release during melting and solidifications respectively. PCMs can
be efficiently deployed in applications where significant temperature difference exists in the system
for intermittent thermal energy storage. Several research contributions has been made on integrating
PCMs in buildings for thermal management, as it enhances building thermal inertia, reduces maximum
heat flux, shifts peak energy demand, reduces temperature fluctuations of air, etc., owing to its isothermal
behavior and high energy storage density during phase change. Results of several research articles reveal
that incorporation of PCM in buildings could significantly improve indoor comfort conditions and reduce
energy demand of Heating ventilation and air conditioning (HVAC) systems, provided appropriate PCM
selection, encapsulation methods, location deployed etc. This review paper is devoted to elucidate various
facts attributing PCM integration in buildings for thermal management through passive approach.
The facts includes performance of PCMs in buildings in terms of heat gain reduction, temperature attenuation,
peak energy demand shifting and energy saving potential, encapsulation deployed, are discussed
and presented in order to expedite the interpretation for future researchers, who took their research work
in the field of building thermal energy management. Keywords: Phase change material | Passive approach | Thermal energy management | PCM Encapsulation | Buildings |
مقاله انگلیسی |
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Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review
شارژ هوشمند وسایل نقلیه برقی با توجه به تولید انرژی فتوولتائیک و مصرف برق: بررسی-2020 Photovoltaics (PV) and electric vehicles (EVs) are two emerging technologies often considered as cornerstones
in the energy and transportation systems of future sustainable cities. They both have to be
integrated into the power systems and be operated together with already existing loads and generators
and, often, into buildings, where they potentially impact the overall energy performance of the buildings.
Thus, a high penetration of both PV and EVs poses new challenges. Understanding of the synergies
between PV, EVs and existing electricity consumption is therefore required. Recent research has shown
that smart charging of EVs could improve the synergy between PV, EVs and electricity consumption,
leading to both technical and economic advantages. Considering the growing interest in this field, this
review paper summarizes state-of-the-art studies of smart charging considering PV power production
and electricity consumption. The main aspects of smart charging reviewed are objectives, configurations,
algorithms and mathematical models. Various charging objectives, such as increasing PV utilization and
reducing peak loads and charging cost, are reviewed in this paper. The different charging control configurations,
i.e., centralized and distributed, along with various spatial configurations, e.g., houses and
workplaces, are also discussed. After that, the commonly employed optimization techniques and rulebased
algorithms for smart charging are reviewed. Further research should focus on finding optimal
trade-offs between simplicity and performance of smart charging schemes in terms of control configuration,
charging algorithms, as well as the inclusion of PV power and load forecast in order to make the
schemes suitable for practical implementations. Keywords: Photovoltaics | Electric vehicles | Electricity consumption | Smart charging | Energy management system | Charging optimization |
مقاله انگلیسی |
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Safety management in construction: 20 years of risk modeling
مدیریت ایمنی در ساخت : 20 سال مدل سازی ریسک-2020 Construction industry has one of the highest rates of fatalities and injuries compared to other industries, despite
technological advancements and implementations of occupational health and safety initiatives. In this paper, a
systematic review has been conducted on the contemporary literature of safety risk management. The interface
with system modeling has been investigated to identify correlations between the two, and opportunities for
improving project performance metrics such as quality, productivity, and cost. Findings show that simulation
and optimization technics have advanced in the past 20 years but there is room for improvement when it comes
to modeling safety related risks. This review paper contributes to the literature of safety management by providing
insight into dynamics of different simulation and optimization modeling techniques. Future research
opportunities have been identified including the need for construction safety research on integrating multimethod
modeling approaches. Keywords: Health and safety management | Integrated system modeling | Optimization and Simulation | Quality management | Risk monitoring and control | Scientometric analysis |
مقاله انگلیسی |
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The praxis of studying interorganizational practices in B2B marketing and purchasing : A critical literature review
اهداف مطالعه شیوه های بین سازمانی در بازاریابی و خرید B2B: بررسی ادبیات انتقادی-2020 Practice has developed into a key concept in management research, including B2B marketing and purchasing
studies. However, the adoption of the term in B2B marketing and purchasing is characterized by some difficulties.
Research on B2B practices is growing, but seems marked by fragmentation, inconsistency, and lack of
precision among others. Without conceptual consistency and integrity, B2B practice studies are at risk of becoming
derailed, compromising the developments of future theory and practice within B2B. In this critical
review paper, we therefore seek to create an overview of B2B practice research as perceived through a practice
lens. Based on a review of 116 identified practice papers from key B2B journals, we map the topic areas where
the practice concept has been applied for investigations, and we also investigate how well the applied practice
conceptualization in these papers align with a recognized practice theory conceptualization. We find that the
majority of B2B studies align poorly with the three elements of practice: managerial action, habitual behavior,
and action-structure duality. Since many of the alignment issues in the review are caused by methodological
problems, we propose a series of methodological tools that can provide a more accurate understanding of B2B
practices in future research. Keywords: Practice | Managerial action | B2B marketing and purchasing | Interorganizational | Review paper |
مقاله انگلیسی |
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The role of government and key non-state actors in social entrepreneurship: A systematic literature review
نقش دولت و بازیگران اصلی غیر دولتی در کارآفرینی اجتماعی: مروری بر مقالات سیستماتیک-2019 Social entrepreneurship is recognized as a key tool for overcoming social problems in society and supporting
sustainable development. While social entrepreneurship is not a new phenomenon, the field has
experienced significant growth over the past 15 years, either when applied to social problem-solving in a
traditional way, or focused on private-sector entrepreneurship and large-scale transformation. However,
there is still a lack of scientific review papers examining various government regulatory mechanisms,
implemented on different government levels for stimulating social entrepreneurship and social entrepreneurship
ecosystems. This study aims to analyze the state-of-the-art of social entrepreneurship and
its relation with government and key non-state actors. Following Pittaway et al. (2014) and Cerchione
et al. (2018), a systematic literature review was carried out using the Scopus database, covering the
period from 2001 up to 20th of March 2018, which resulted in a corpus of 478 scientific articles. The
papers were ranked by the number of citations, according to the Web of Science® database, from which
were selected the 102 most representative works. The abstracts of these selected studies were organized
and submitted into an analysis of content via the 2015 edition of Alceste® software. Following the reading
of all sources, the papers were classified and a matrix of data was produced, which allowed the
descriptive analysis. The results show that there are at least six levels of government intervention to
facilitate the development of social entrepreneurship. It also identified 4 directions taken by the government
in support of social entrepreneurship, and 11 regulatory mechanisms, both of which could be
deepened in future studies. The role of key non-state actors in the social entrepreneurship field has also
been discussed. Based on the study, a future research agenda on the topic has been defined in the
following directions: (i) a combination and coordination of regulatory mechanisms for better stimulation
of social entrepreneurship, (ii) government policy oriented to the whole social entrepreneurship
ecosystem, (iii) social capital, (iv) business models for social entrepreneurship ecosystems and government
support. Keywords: Social entrepreneurship | Government | Non-state actors | Cooperation | Systematic literature review |
مقاله انگلیسی |
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A review of the fate of engineered nanomaterials in municipal solid waste streams
مروری بر سرنوشت نانومواد مهندسی شده در جریان های زباله ای جامد شهری-2018 Significant knowledge and data gaps associated with the fate of product-embedded engineered nanomaterials (ENMs) in waste management processes exist that limit our current ability to develop appropriate end-of-life management strategies. This review paper was developed as part of the activities of the IWWG ENMs in Waste Task Group. The specific objectives of this review paper are to assess the current knowledge associated with the fate of ENMs in commonly used waste management processes, including key processes and mechanisms associated with ENM fate and transport in each waste management process, and to use that information to identify the data gaps and research needs in this area. Literature associated with the fate of ENMs in wastes was reviewed and summarized. Overall, results from this literature review indicate a need for continued research in this area. No work has been conducted to quantify ENMs present in discarded materials and an understanding of ENM release from consumer products under conditions representative of those found in relevant waste management process is needed. Results also indicate that significant knowledge gaps associated with ENM behaviour exist for each waste management process investigated. There is a need for additional research investigating the fate of different types of ENMs at larger concentration ranges with different surface chemistries. Understanding how changes in treatment process operation may influence ENM fate is also needed. A series of specific research questions associated with the fate of ENMs during the management of ENM-containing wastes have been identified and used to direct future research in this area.
keywords: Engineered nanomaterials | Waste management | Landfills | Recycling | Incineration | Biological treatment |
مقاله انگلیسی |
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جایابی و اندازه بهینه جبران ساز استاتیکی توزیع (D-STATCOM) در شبکههای توزیع برق: یک بازنگری
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 75 - تعداد صفحات فایل doc فارسی: 27 با رشد و گسترش شبکه های برق، استفاده ی بهینه از شبکه های الکتریکی اهمیت بسیاری یافته است. به خاطر هزینه های بالای ساخت و گسترش شبکه های قدرت، کاهش مشکلات موجود، همچون تلفات بیش از اندازه ی توان، مسائل پروفیل ولتاژ، ناپایداری های ولتاژی، مسائل قابلیت اطمینان و مواردی از این دست، اجتناب ناپذیر است. برای رفع این مشکلات، می توان از جبرانساز استاتیک سنکرون توزیع (D-STATCOM) به عنوان یکی از ادوات جبرانسازی شانت در شبکه های توزیع برق استفاده کرد. اندازه و موقعیت بهینه ی D-STATCOM، بایستی براساس دوام اقتصادی، کیفیت مورد نیاز، قابلیت اطمینان و دسترس پذیری تعیین شود. در سالیان اخیر، چندین مقاله بر روش های مورد استفاده برای یافتن اندازه و موقعیت بهینه ی واحدهای D-STATCOM با در نظر گرفتن جنبه های مختلف تمرکز نموده اند. با اینحال تا به امروز هیچ مقاله ی مروری در این حوزه چاپ نشده است. این مقاله یک بررسی به روز از متون و مقالات مرتبط با مکانیابی بهینه-ی D-STATCOM در شبکه های توزیع است. کارهای پژوهشی موجود در 5 دسته جای می گیرند: روش-های تحلیلی، روش های مبتنی بر شبکه عصبی هوشمند، روش های ریاضیاتی، روش های حساسیت، و ترکیبی از روش های حساسیت و روش های ریاضیاتی. افزون بر این، مشخص شد که در مسأله ی مکانیابی D-STATCOM، توابع هدف می توانند کاهش افت توان، کاهش انحرافات ولتاژی، بهبود معیارهای قابلیت اطمینان و افزایش پایداری ولتاژ باشند. تمامی روش ها، اهداف و قیود به دقت مقایسه شده و مورد بحث و بررسی قرار گرفتند. نهایتاً، یک بررسی کلی بر روی کارهای بررسی شده انجام گرفت و جهت گیری هایی برای پژوهش های آتی پیشنهاد شدند.
کلیدواژه ها: شبکه های توزیع | D-STATCOM | جایابی بهینه | بهینه سازی | روش های فرااکتشافی |
مقاله ترجمه شده |