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 |
A review and perspectives on predicting the performance and durability of electrical contacts in automotive applications
بررسی و دیدگاههایی در مورد پیشبینی عملکرد و دوام کنتاکتهای الکتریکی در کاربردهای خودرو-2021 This review reports the recent progress in predicting the performance and long-term durability of
electrical connectors in the automotive industry. The review features a short introduction to
electrical contacts as well as the validation process before product launch, followed by a study of
fretting wear and the latest mathematical models describing this phenomenon. We discuss approaches to numerical modeling in the micro- and macro-scale, including the identification of the
most promising research approaches to allow durability prediction of an electrical connector.
Finally, we address some gaps in the research which require further investigation. This would
allow further development of numerical models enabling the prediction of automotive connector
durability with regard to its electrical and mechanical performance, and hence, the performance
of the entire wire harness.
Keywords: Fretting | Modeling and simulation | Numerical modeling | Mechanics of materials | Electrical and electronic engineering | Modeling of degradation | LSR aging |
مقاله انگلیسی |
2 |
Development of people mass movement simulation framework based on reinforcement learning
توسعه چارچوب شبیه سازی حرکت جمعی مردم مبتنی بر یادگیری تقویتی-2020 Understanding individual and crowd dynamics in urban environments is critical for numerous
applications, such as urban planning, traffic forecasting, and location-based services. However,
researchers have developed travel demand models to accomplish this task with survey data that
are expensive and acquired at low frequencies. In contrast, emerging data collection methods
have enabled researchers to leverage machine learning techniques with a tremendous amount of
mobility data for analyzing and forecasting people’s behaviors. In this study, we developed a
reinforcement learning-based approach for modeling and simulation of people mass movement
using the global positioning system (GPS) data. Unlike traditional travel demand modeling approaches,
our method focuses on the problem of inferring the spatio-temporal preferences of
individuals from the observed trajectories, and is based on inverse reinforcement learning (IRL)
techniques. We applied the model to the data collected from a smartphone application and attempted
to replicate a large amount of the population’s daily movement by incorporating with
agent-based multi-modal traffic simulation technologies. The simulation results indicate that
agents can successfully learn and generate human-like travel activities. Furthermore, the proposed
model performance significantly outperforms the existing methods in synthetic urban
dynamics. Keywords: Travel demand modeling | Reinforcement learning | Mobility data | Citywide people mass movement simulation |
مقاله انگلیسی |
3 |
Stability-based Dynamic Bayesian Network method for dynamic data mining
روش شبکه بیزی پویا مبتنی بر پایداری برای داده کاوی پویا-2019 In this article we introduce a new stability-based dynamic Bayesian network method for dynamic systems
represented by their time series. Based on the Grow Shrink algorithm and the stability of the network through
time, new variables and arcs could be added to the network in order to generate missing data or predict future
values. The concept of stability in the network is maintained through a stability matrix which contains learned
values that indicate the strength of dependencies between variables along the time. Moreover, we present the
application of the proposed method to deal with the problem of prediction in a real-life air quality case study, in
which we try to predict the level of Carbon monoxide in the air, comparing between the results obtained using
the proposed method and those obtained using the Vector Autoregression model. Keywords: Dynamic data mining | Dynamic model | Stability | Dynamic Bayesian Network | Grow-Shrink algorithm | Modeling and simulation |
مقاله انگلیسی |
4 |
Large Scale Data-Driven Delay Distribution Models of European Air Traffic Flow Network
مدل های توزیع تاخیر داده محور در مقیاس بزرگ شبکه جریان ترافیک هوایی اروپا-2017 This work aims to build different types of data-driven approaches in modeling European ATM Network Flow to capture the behavior
of delay propagation over the network. To build proper network models and set their parameters, we have utilized historical flight
track data, which includes last filed flight plans and actual movements. Through their comparisons, actual delay profiles of the
airports and continental inflows/outflows were evaluated. In order to reduce the complexity of the models, most congested 103
European airports were held, and other airports were aggregated without considering their topological specs. Then, we have utilized
these models to simulate the impact of local disturbances on the whole network through real air traffic data of certain days that
disrupted due to capacity reductions issues such as heavy rain at an airport, an airline of controller strikes, runway construction,
industrial events, etc. The results of these comparisons that performed by the certain simulations are reviewed to provide the
performance assessment of the methods in demand-capacity balancing.
Keywords: Air Transportation | Air Traffic Modeling and Simulation |
مقاله انگلیسی |
5 |
Care HPS: A high performance simulation tool for parallel and distributed agent-based modeling
مراقبت HPS: یک ابزار شبیه سازی با کارایی بالا برای مدل سازی مبتنی بر عامل موازی و توزیع شده-2017 Parallel and distributed simulation is a powerful tool for developing complex agent-based simulation.
Complex simulations require parallel and distributed high performance computing solutions. It is
necessary because their sequential solutions are not able to give answers in a feasible total execution
time. Therefore, for the advance of computing science, it is important that High Performance Computing
(HPC) techniques and solutions be proposed and studied. In literature, we can find some agent-based
modeling and simulation tools that use HPC. However, none of these tools are designed to enable the
HPC expert to be able to propose new techniques and solutions without great effort. In this paper,
we introduce Care High Performance Simulation (HPS), which is a scientific instrument that enables
researchers to: (1) develop techniques and solutions of high performance distributed simulations for
agent-based models; and, (2) study, design and implement complex agent-based models that require
HPC solutions. Care HPS was designed to easily and quickly develop new agent-based models. It was also
designed to extend and implement new solutions for the main issues of parallel and distributed solutions
such as: synchronization, communication, load and computing balancing, and partitioning algorithms.
We conducted some experiments with the aim of showing the completeness and functionality of Care
HPS. As a result, we show that Care HPS can be used as a scientific instrument for the advance of the
agent-based parallel and distributed simulations field.
Keywords: Agent-based model | Agent-based modeling and simulation | High performance simulation | High performance computing | Parallel and distributed simulation |
مقاله انگلیسی |
6 |
Rethinking the role of partnerships in global supply chains: A risk-based perspective
بازاندیشی نقش مشارکت در زنجیره تامین جهانی: دیدگاه مبتنی بر ریسک-2017 Growing global operations on one hand drive cost down substantially but on the other hand make the supply
chain more vulnerable to numerous risks. Confronted with increased risks, companies are more inclined to form
partnerships and engage in supply chain collaboration consciously. Such inclination for partnerships simulates
thinking of its incentives behind in association with risk management. However, traditional literature, confining
its focus to individual enterprise, echoes inadequately on the role of partnerships in supply chain risk
management. To bridge this gap, this paper refines the notion of risk in supply chains and proposes a model of
supply chain risk system which is able to convey a risk-based view of partnerships in global supply chains.
Through analytical inference it is shown that the level of collaboration among partners contributes to the
resilience of supply chains. This implies that partnerships can positively affect the integration of supply chain
risk system, thus benefiting operations in supply chains. A simulation program has been developed with aim to
demonstrate the practical feasibility of the proposed model. Implemented in simulation, two sets of experiments
have been conducted for testing the model in actual business scenarios. The experimental results manifest high
consistence with the analytical prediction.
Keywords: Partnerships | Supply chain risk management | Resilience | Modeling and simulation |
مقاله انگلیسی |
7 |
Multi-level simulation of Internet of Things on smart territories
شبیه سازی چند سطحی از اینترنت اشیاء در سرزمین های هوشمند-2017 In this paper, a methodology is presented and employed for simulating the Internet of
Things (IoT). The requirement for scalability, due to the possibly huge amount of involved
sensors and devices, and the heterogeneous scenarios that might occur, impose resorting to sophisticated modeling and simulation techniques. In particular, multi-level simulation is regarded as a main framework that allows simulating large-scale IoT environments
while keeping high levels of detail, when it is needed. We consider a use case based on
the deployment of smart services in decentralized territories. A two level simulator is employed, which is based on a coarse agent-based, adaptive parallel and distributed simulation approach to model the general life of simulated entities. However, when needed a
finer grained simulator (based on OMNeT++) is triggered on a restricted portion of the simulated area, which allows considering all issues concerned with wireless communications.
Based on this use case, it is confirmed that the ad-hoc wireless networking technologies do
represent a principle tool to deploy smart services over decentralized countrysides. Moreover, the performance evaluation confirms the viability of utilizing multi-level simulation
for simulating large scale IoT environments.
Keywords: Simulation | Smart cities | Internet of Things | Multi-level simulation | Parallel And Distributed Simulation (PADS) |
مقاله انگلیسی |
8 |
SFCOMPO-2:0: An OECD NEA database of spent nuclear fuel isotopic assays, reactor design specifications, and operating data
SFCOMPO-2: 0: پایگاه داده OECD NEA آزمایشات ایزوتوپ سوخت هسته ای، مشخصات طراحی راکتور و داده های عملیاتی-2017 SFCOMPO-2.0 is the new release of the Organisation for Economic Co-operation and Development (OECD)
Nuclear Energy Agency (NEA) database of experimental assay measurements. These measurements are
isotopic concentrations from destructive radiochemical analyses of spent nuclear fuel (SNF) samples.
The measurements are supplemented with design information for the fuel assembly and fuel rod from
which each sample was taken, as well as with relevant information on operating conditions and charac
teristics of the host reactors. These data are necessary for modeling and simulation of the isotopic evo
lution of the fuel during irradiation. SFCOMPO-2.0 has been developed and is maintained by the OECD
NEA under the guidance of the Expert Group on Assay Data of Spent Nuclear Fuel (EGADSNF), which is
part of the NEA Working Party on Nuclear Criticality Safety (WPNCS). Significant efforts aimed at estab
lishing a thorough, reliable, publicly available resource for code validation and safety applications have
led to the capture and standardization of experimental data from 750 SNF samples from more than 40
reactors. These efforts have resulted in the creation of the SFCOMPO-2.0 database, which is publicly avail
able from the NEA Data Bank. This paper describes the new database, and applications of SFCOMPO-2.0
for computer code validation, integral nuclear data benchmarking, and uncertainty analysis in nuclear
waste package analysis are briefly illustrated.
Keywords: SFCOMPO | Spent nuclear fuel database | Radiochemical assay data | Experimental isotopic compositions| Nuclear fuel depletion | Nuclear fuel evolution | Code validation | Integral benchmarks |
مقاله انگلیسی |
9 |
پیشرفتهای مدلسازی محاسباتی دستگاههای الکترونیکی پایه گرافینی
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 27 امروزه دستگاههای الکترونیکی مانند دیودهای p-n، ترانزیستور اثر میدانی، گیتهای منطقی، میکسرها، نوسانگرهای حلقوی و حافظههابرپایه گرافین تک لایه، دولایه و یا سه لایه طراحی شدهاند. با این حال، کار زیادی باید جهت گنجاندن مدلهای ریاضی در شبیه سازهای جدید برای دستگاههای الکترونیکی برپایه نانومواد مانند دستگاههای برپایه نانوتیوب های کربنی، فولرن ها و گرافین صورت گیرد. مشارکتهای اصلی درمورد مدلسازی و شبیه سازی دستگاههای الکترونیکی پایه گرافینی و دستگاههای ساخته شده در سالهای پایانی در اینجا تجزیه و تحلیل میشوند. افزون براین، چشم اندازهای آینده مربوط به مدلسازی ریاضی دستگاههای الکترونیکی پایه گرافینی نیز بحث میشود.
کلیدواژه ها:نانوتیوب های کربنی | ترانزیستورهای اثر میدانی | گرافین | گیتهای منطقی | نانوالکترونیک | نانومواد |
مقاله ترجمه شده |
10 |
مدلسازی و شبیه سازی ابرخازن نامتقارن متشکل از کربن فعال / اکسید لیتیم منگنر
سال انتشار: 2015 - تعداد صفحات فایل pdf انگلیسی: 12 - تعداد صفحات فایل doc فارسی: 32 انتظار می رود ابرخازن های نامتقارن، نسل آتی ادوات ذخیره ساز انرژی باشند، زیرا اینها عملکرد مناسبی به لحاظ چگالی انرژی و چگالی توان دارند. این مقاله، نخست مدل ریاضی یک ابرخازن متقارن متشکل از یک الکترود LiMn2O4 و یک الکترود کربن فعال (AC) را ارائه می دهد. مدل دینامیک دربردارنده ی میدان های الکتریکی و تمرکزی، به منظور بررسی تأثیر ضخامت الکترود AC بر عملکرد ابرخازن در نرم افزار COMSOL Multiphysics مورد استفاده قرار می گیرد. جالب اینجاست که اثر ویژه ی آرام سازی در ابرخازن برای نخستین بار با شبیه سازی روند تولید، مصرف و انتقال یون های لیتیم مشاهده شد. مشخص شد که آرام سازی نقش مهمی در بازیابی ظرفیت و افزایش عمر مفید دارد. خطای نسبی چگالی انرژی و چگالی توان در نمودارهای راگون کمتر از 10% است، این را با نتایج تجربی مقایسه کنید که چگال جریان کمتر از 200 آمپر بر متر مربع را داریم. بطور گسترده تأکید شده که مدل ارائه شده، کارآمد است و با موفقیت روشی برای بهینه نمودن اندازه ی سلول در کاربردهای مختلف فراهم می آورد.
کلیدواژه ها: خازن نامتقارن | مدلسازی | شبیه سازی | اثر آرام سازی | نمودار راگون |
مقاله ترجمه شده |