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 |
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51 |
An intelligent semantic system for real-time demand response management of a thermal grid
یک سیستم معنایی هوشمند برای مدیریت پاسخ به تقاضای زمان واقعی یک شبکه حرارتی-2020 “Demand Response” energy management of thermal grids requires consideration of a wide range of factors at
building and district level, supported by continuously calibrated simulation models that reflect real operation
conditions. Moreover, cross-domain data interoperability between concepts used by the numerous hardware and
software is essential, in terms of Terminology, Metadata, Meaning and Logic. This paper leverages domain
ontology to map and align the semantic resources that underpin building and district energy management, with a
focus on the optimization of a thermal grid informed by real-time energy demand. The intelligence of the system
is derived from simulation-based optimization, informed by calibrated thermal models that predict the network’s
energy demand to inform (near) real-time generation. The paper demonstrates that the use of semantics helps
alleviate the endemic energy performance gap, as validated in a real district heating network where 36% reduction
on operation cost and 43% reduction on CO2 emission were observed compared to baseline operational
data. Keywords: Thermal grid | Demand response | Energy optimization | Operation cost | Data interoperability | Semantic ontology |
مقاله انگلیسی |
52 |
Using multi-criteria analysis the assess impacts of change in ecosystem-based fisheries management: The case of the Icelandic cod
با استفاده از تجزیه و تحلیل چند معیار ارزیابی اثرات تغییر در مدیریت شیلات مبتنی بر اکوسیستم: مورد COD ایسلندی-2020 This paper presents the outcome of one of the case-studies of the EU-funded FP7 research project MareFrame.
The project sought to remove the barriers preventing more widespread use of the ecosystem-based approach to
fisheries management by developing integrated ecosystem-based assessment methods and a decision support
framework for the management of marine resources. The findings are intended to support the implementation of
the Common Fisheries Policy (CFP) and Marine Strategy Framework Directive (MSFD). The case study focused on the
Icelandic cod fishery which is by far the most important fishery in Iceland, accounting for 43% of the country’s
total export values of seafood in 2016. Sound biological and economic management of the fishery is therefore
essential for both the nation as a whole as well as individual fisheries-dependent communities. The analysis is
done in two main steps. We first use the statistical multi-species model Gadget, developed by the Icelandic
Marine and Freshwater Research Institute, to estimate the development of catches by fleet segments (trawl, net
and longline) and stock size. Comparisons are made with two scenarios: a) adhering to the present harvest
control rule or b) changing the effort to a level corresponding to fishing mortality associated with maximum
sustainable yield (FMSY). In the second step, the two outcomes and their socio-economic effects are examined
using a three-stage analytic hierarchy process. The case study has been developed in close cooperation with
Icelandic stakeholders, and in this paper we describe how the co-creation approach was employed in an
ecosystem-based fisheries management framework. Keywords: Ecosystem-based fisheries management | Co-creation | Gadget | Multi-criteria analysis | Analytic hierarchy process | Cod |
مقاله انگلیسی |
53 |
Fisheries co-management in hilsa shad sanctuaries of Bangladesh: Early experiences and implementation challenges
مدیریت شیلات در پناهگاه های هیلسا از بنگلادش: تجربیات اولیه و چالش های اجرایی-2020 Community-based fisheries management has long been practiced in the management of the inland fisheries of
Bangladesh. However, formal coastal co-management has only been implemented recently in hilsa shad (Tenualosa
ilisha) sanctuaries. The study analysed the pre-implementation processes, institutional arrangements,
implementation activities, as well as challenges for fisheries co-management that are currently being implemented
in the Padma-Meghna riverine-estuarine system. As a first step in establishing a co-management system
in hilsa shad sanctuaries, communities (both fishing villages and fish landing centres) were selected for interventions.
Co-management committees were formed from the community-village to district level with the
defined tasks of developing plans and programs, implementing management rules and regulations, monitoring
compliance, and creating awareness in a cost-effective manner among various stakeholders. Still, the operationalization
of co-management in this large riverine-estuarine system is a challenging task. To overcome these
challenges, several issues had to be considered through lessons learned from previously implemented
community-based fisheries management projects in Bangladesh. To ensure that fisheries co-management is
functional, the institutional framework needs to be flexible with support from local government institutions and
NGOs. The boundary of the management unit needs to be clearly defined and community-based organization also
needs a clear legal status. To make co-management sustainable, a relationship of trust and respect among comanagement
partners needs to be developed and maintained. The effective implementation of fisheries comanagement
will require an inclusive compensation scheme that will motivate stakeholders to comply and
maintain fisheries management efforts through collective action. Keywords: Hilsa sanctuaries | Co-management | Small-scale fisheries | Implementation challenges |
مقاله انگلیسی |
54 |
A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment
یک روش یادگیری تقویتی عمیق چند عاملی مبتنی بر TD3 در محیط رقابتی و همکاری ترکیبی -2020 We explored the problem about function approximation error and complex mission adaptability in multiagent
deep reinforcement learning. This paper proposes a new multi-agent deep reinforcement learning
algorithm framework named multi-agent time delayed deep deterministic policy gradient. Our work
reduces the overestimation error of neural network approximation and variance of estimation result
using dual-centered critic, group target network smoothing and delayed policy updating. According to
experiment results, it improves the ability to adapt complex missions eventually. Then, we discuss that
there is an inevitable overestimation issue about existing multi-agent algorithms about approximating
real action-value equations with neural network. We also explain the approximate error of equations
in the multi-agent deep deterministic policy gradient algorithm mathematically and experimentally.
Finally, the application of our algorithm in the mixed cooperative competition experimental environment
further demonstrates the effectiveness and generalization of our algorithm, especially improving the
group’s ability of adapting complex missions and completing more difficult missions. Keywords: Reinforcement learning | Overestimation error | Dual-critic | MADDPG | MATD3 |
مقاله انگلیسی |
55 |
ساخت و جامعه - یک دانشجوی مقدماتی دوره مهندسی با مشارکت ساخت و علوم اجتماعی
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 10 - تعداد صفحات فایل doc فارسی: 38 برنامه درسی و آموزش مقدماتی دانشجوی دوره اول مهندسی در زمینه تولید و جامعه ارائه شده است. این دوره برای استفاده از پهپاد کوادکوپتر به عنوان نمونه برای آموزش دانش در فرایندها و سیستم های تولید ، نشان دادن تأثیرات بالقوه ساخت به جامعه و تحریک یادگیری در نوآوری ، کار گروهی و ارتباطات در یک محیط مهندسی دنیای واقعی وهمچنین برای یادگیری و نحوه نتیجه گیری بهتر دانش آموزان طراحی شده است. این دوره بر اساس دو پروژه تیمی ساخته شده است. دانشجویان مونتاژ یک هواپیمای بدون سرنشین پیشرفته ، DJI Spark را تمرین و زمان بندی کردند و یک ارائه پروژه میان مدت و گزارش برنامه خود را برای راه اندازی کارخانه مونتاژ در میشیگان برای این پهپاد ایجاد کردند. دانش آموزان طراحی خط مونتاژ ، تعادل زمان چرخه ، مطالعه زمان ، اتوماسیون ، رباتیک ، ارگونومی را انجام دادند. پروژه نهایی ، طراحی و ساخت پیوست به یک هواپیمای بدون سرنشین DJI F330 ، برای مأموریتی است که به نفع جامعه خواهد بود. دانش آموزان جنبه های اجتماعی ساخت ، طراحی به کمک رایانه ، ساخت مواد افزودنی ، مهارت های ساخت و فرایندهای ساخت را فرا گرفتند. هر تیم یک نیاز اجتماعی را شناسایی کرده ، ضمیمه ای را برای پهپاد DJI F330 ، با مهندسان باتجربه طراحی کرده ، قطعات ساخته شده ، پیوست را مونتاژ کرده و آنها را در پروازهای آزمایشی پهپاد ارزیابی کرده است. این دوره با همکاری نزدیک با یک کالج جامعه محلی برای به اشتراک گذاشتن سخنرانی و مواد آزمایشگاهی و همچنین آموزش در ساخت برای استفاده از همان گروه فارغ التحصیلان دبیرستان اجرا شد. این رویکرد علوم اجتماعی یکپارچه ، تولید ، و ارتباطات فنی برای آموزش ساخت با استفاده از هواپیماهای بدون سرنشین و ارتباط ساخت و جامعه نشان داده شده است که برای یک دوره مقدماتی مهندسی کارآمد است. دانشجویان مهندسی دوره اول اغلب در ترم اول خود تغییرات و فشار فوق العاده ای را تجربه می کنند. جلسه سخنرانی ، آزمایشگاه و بحث برای ارتباطات برای کمک به انتقال دانش آموزان در ترم اول مطالعه مهندسی تنظیم شد.
کلمات کلیدی: آموزش تولید | علوم اجتماعی | آموزش مبتنی بر نوآوری |
مقاله ترجمه شده |
56 |
Addressing AI ethics through codification
پرداختن به اخلاق هوش مصنوعی از طریق تدوین-2020 AI ethics rapidly becomes one of the most
significant issues in assessing the impact of AI on social
welfare and development. A technology that does not meet
the ethical criteria of a society is likely to face a long and
hard process of acceptance regardless of its potentially
tremendous positive potential for long-term socio-economic
development. The development of artificial intelligence (AI)
technologies is undoubtedly associated with the need to
answer ethical questions, and the perception of AI in society
will be largely determined by compliance with ethical
criteria, whether written or not. At the same time, AI as a
technological system itself does not have a natural ethical
content; the authors believe that in practice ethical concerns
may be addressed by means of ethical codes and compliance
rules that articulate what constitutes ethical behaviour in
specific areas of application of AI systems. Such a set of rules
(a code for AI ethics) could be followed by all actors
throughout the complete lifecycle of the system starting with
the design stage. The specification of general ethical
principles as industry-specific codes of practice would also
facilitate classification, evaluation and measurement of
systems, both at the technical level and at the level of public
perception and trust. The article considers examples of codification of ethical
principles and offers several approaches for practical use in
solving issues of ethics in the field of AI at the national and
international level. Keywords: ethics | AI | codification | regulation | standards | responsibility | bias | trustworthiness | personal data protection | international cooperation in AI | soft regulation |
مقاله انگلیسی |
57 |
Interorganizational cooperation and supplier performance in high-technology supply chains
همکاری بین سازمانی و عملکرد تأمین کننده در زنجیره های تأمین فن آوری بالا-2020 Never in history have global supply-chain relationships in high-tech electronics firms been more sophisticated, complicated, and almost always tied in some major aspect to China. This research examines how interorganizational (IO) cooperation impacts performance and what role relationship learning and information technology (IT) integration play in the value-creation process for Chinese suppliers in business-to-business (B2B) supply chains. We examine this issue using data collected from face-to-face interviews with supply chain managers and executives from 1,004 Chinese high-tech electronic component suppliers. The results strongly support the hypothesis that IO cooperation improves a suppliers performance regarding both its major customer and overall marketplace. Relationship learning and IT integration are important mediating variables that drive performance. The strongest effect in our study was the influence of IO cooperation on relationship learning. A unique aspect of this study is that it focuses on a large sample of a specific supplier type—high-tech Chinese suppliers. This, combined with the fact that the sampled companies were involved in manufacturing 13 different product groups, greatly increases the generalizability of the results. Keywords: Supply chain performance | Buyer-supplier relationships | Relationship marketing theory | Social exchange theory | Collaboration | Electronics industry | Global supply chain | Business | Globalization | Operations management | Technology adoption | Technology management |
مقاله انگلیسی |
58 |
Developing interagency collaboration to address the opioid epidemic: A scoping review of joint criminal justice and healthcare initiatives
در حال توسعه همکاری بین سازمانی برای رسیدگی به اپیدمی مواد مخدر: یک بررسی گسترده از ابتکارات مشترک کیفری و بهداشت و درمان-2020 Background: With the current opioid epidemic impacting well over half of all counties across the United States,
initiatives that encourage interagency collaboration between first responder organizations appear necessary to
comprehensively address this crisis. Police, fire, and emergency medical services (EMS) are in a unique position
to identify substance users and provide necessary resources to initiate treatment, yet there is not sufficient
evidence of joint collaborative programs between law enforcement/first responders and healthcare providers.
Methods: In this scoping review we examine the current state of joint criminal justice and healthcare interventions,
specifically, opioid and substance use pre-arrest initiatives via emergency first responders and police
officers. We relied on data from the last 10 years across three major databases to assess the extent of criminal
justice (CJ) and healthcare collaborations as a response to individuals with opioid use disorder (OUD). We
specifically focused on interventional programs between criminal justice first responders (pre-arrest) and
healthcare providers where specific outcomes were documented.
Results: We identified only a small number (6) of studies involving interventions that met this criteria, suggesting
very limited study of joint interagency collaboration between law enforcement first responders and
healthcare providers. Most had small samples, none were in the southern states, and all but one were initiated
within the last 5 years.
Conclusions: Although studies describing joint efforts of early intercept criminal justice responses and healthcare
interventions were few, existing studies suggest that such programs were effective at improving treatment referral
and retention outcomes. Greater resources are needed to encourage criminal justice and healthcare collaboration
and policies, making it easier to share data, refer patients, and coordinate care for individuals with
OUD. Keywords: Opioid use disorder | First responder | Interagency collaboration | Mortality |
مقاله انگلیسی |
59 |
Increasing collaboration on substance use disorder research with primary care practices through the National Drug Abuse Treatment Clinical Trials Network
افزایش همکاری در زمینه تحقیق اختلال در مصرف مواد با اقدامات مراقبت های اولیه از طریق شبکه ملی آزمایش های بالینی درمان سوء مصرف مواد-2020 Background: The National Drug Abuse Treatment Clinical Trials Network (CTN) called for its national nodes to
promote the translation of evidence-based interventions from substance use disorder (SUD) research into clinical
practices. This collaborative demonstration project engaged CTN-affiliated practice-based research networks
(PBRNs) in research that describes aspects of opioid prescribing in primary care.
Methods: Six PBRNs queried electronic health records from a convenience sample of 134 practices (84 participants)
to identify the percent of adult patients with an office visit who were prescribed an opioid medication
from October 1, 2015, to September 30, 2016, and, of those, the percent also prescribed a sedative in that year.
Seven PBRNs sent an e-mail survey to a convenience sample of 108 practices (58 participants) about their opioid
management policies and procedures during the project year.
Results: Of 561,017 adult patients with a visit to one of the 84 clinics in the project year, 22.9% (PBRN range
3.1%–25.4%) were prescribed opioid medications, and 52.1% (PBRN range 8.5%–60.6%) of those were prescribed
a sedative in the same year. Of the 58 practices returning a survey (45.3% response rate), 98.1% had
formal written treatment agreements for chronic opioid therapy, 68.5% had written opioid prescribing policies,
and 43.4% provided reports to providers with feedback on opioid management. Only 24.1% were providing
buprenorphine for OUD.
Conclusion: CTN-affiliated PBRNs demonstrated their ability to collaborate on a project related to opioid management;
results highlight the important role for PBRNs in OUD treatment, research, and the need for interventions
and additional policies addressing opioid prescribing in primary care practice. Keywords: Prescribing patterns | Opioids | Primary care | Electronic health records | Practice-based research |
مقاله انگلیسی |
60 |
A survey of feature modeling methods: Historical evolution and new development
مرور روشهای مدل سازی ویژگی ها: تکامل تاریخی و توسعه جدید-2020 Initially developed for geometric representation, feature modeling has been applied in product design and
manufacturing with great success. With the growth of computer-aided engineering (CAE), computer-aided
process planning (CAPP), computer-aided manufacturing (CAM), and other applications for product engineering,
the definitions of features have been mostly application-driven. This survey briefly reviews feature modeling
historical evolution first. Subsequently, various approaches to resolving the interoperability issues during product
lifecycle management are reviewed. In view of the recent progress of emerging technologies, such as
Internet of Things (IoT), big data, social manufacturing, and additive manufacturing (AM), the focus of this
survey is on the state of the art application of features in the emerging research fields. The interactions among
these trending techniques constitute the socio-cyber-physical system (SCPS)-based manufacturing which demands
for feature interoperability across heterogeneous domains. Future efforts required to extend feature
capability in SCPS-based manufacturing system modeling are discussed at the end of this survey. Keywords: Feature modeling | Feature ontology | Feature interoperability | Engineering informatics | Socio-cyber-physical system |
مقاله انگلیسی |