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1 |
In-situ optimization of thermoset composite additive manufacturing via deep learning and computer vision
بهینه سازی درجای تولید افزودنی کامپوزیت ترموست از طریق یادگیری عمیق و بینایی کامپیوتری-2022 With the advent of extrusion additive manufacturing (AM), fabrication of high-performance thermoset com-
posites without the need of tooling has become a reality. However, finding an optimal set of printing parameters
for these thermoset composites during extrusion requires tedious experimentation as composite ink properties
can vary significantly with respect to environmental parameters such as temperature and relative humidity.
Addressing this challenge, this study presents a novel optimization framework that utilizes computer vision and
deep learning (DL) to optimize the calibration and printing processes of thermoset composite AM. Unlike
traditional DL models where printing parameters are determined prior to printing, our proposed framework
dynamically and autonomously adjusts the printing parameters during extrusion. A novel DL integrated extrusion
AM system is developed to determine the optimal printing parameters including print speed, road width, and
layer height for a given composite ink. This closed loop system is consisted of a computer communicating with an
extrusion AM system, a camera to perform in-situ imaging and several high accuracy convolution neural net-
works (CNNs) selecting the ideal process parameters for composite AM. The results show that our proposed
process optimization framework was able to autonomously determine these parameters for a carbon fiber-
composite ink. Consequently, specimens with complex geometries could be fabricated without visible defects
and with maximum fiber alignment and thus enhancing the mechanical performance of the specimen’s com-
posite material. Moreover, our proposed framework minimizes a labor-intensive procedure required to additively
manufacture thermoset composites by optimizing the extrusion process without any user intervention. keywords: یادگیری عمیق | بینایی کامپیوتر | اکستروژن | پرینت سه بعدی کامپوزیت | Deep learning | Computer vision | Extrusion | Composite 3D printing |
مقاله انگلیسی |
2 |
A new road state information platform based on crowed sensing on challenged network environments
یک پلت فرم جدید اطلاعات وضعیت جاده مبتنی بر حسگر در محیط های شبکه چالش برانگیز-2022 In this paper, a new generation road state information platform based on IoT crowed sens-
ing technology is proposed. Various sensors are attached on vehicle to sample sensor data
and to determine the road state in reatime. Those sensor data and road state information
are transmitted to the neighbor vehicles and road side server using V2X communication
network. Driver can receive the sensor data and road surface state information from the
vehicle in opposite direction or road side server and eventually pay attentions to his/her
driving before encountering the dangerous location. A prototype system of this proposed
system is constructed and evaluated the functions and performance as a preliminary sys-
tem. keywords: اینترنت اشیا | سنسور | شبکه بی سیم | سنجش سطح جاده | رانندگی خودمختار | IoT | Sensor | V2V: V2R | Wireless network | Road surface sensing | Autonomous driving |
مقاله انگلیسی |
3 |
یک مدل برای شبیهسازی و طرحریزی پویای مسیر تعویض باند مبتنی بر تابع پارامتری جدید
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 16 - تعداد صفحات فایل doc فارسی: 22 مسألهی تعویض باند (LC) میتواند موجب تصادفات شدید شده و ترافیک آزاردهندهای را در جادههای چندبانده ایجاد نماید. مدل موجود برای شبیهسازی LC با یک سری محدودیتها (انطباق کم، فقدان مشخصههای سرعت و شتاب، انحنای زیاد) با استفاده از منحنی مسیرهای شناختهشدهای همچون منحنی مماس هایپربولیک (HTC)، منحنی مبتنی بر سینوس (SC)، و منحنی چندجملهای (PC) ایجاد شد. در این مقاله، یک منحنی پارامتری جدید با استفاده از دستگاه مختصات خمیدهخطی ارائه و با پایگاه دادهی واقعی شبیهسازی نسل آتی (NGSIM) انطباق داده شد. سپس مشخصههای جدید سرعت و شتاب با استفاده از منحنی مسیر LC پیشنهاد شدند. انحنای مدل پیشنهادی در هر دو نقطهی آغاز و پایان LC، انحنای مبتنی بر صفر بود. این انحنای پیشنهادی با دو مدل همانند HTC و SC مقایسه شد. خطای متوسط جذر میانگین مربعات مدل پیشنهادی در مقایسه با مدل HTC، برای LC چپ به میزان 1.84% و برای LC راست به میزان 15.48% و در مقایسه با مدل SC به میزان 1.74% برای LC چپ و به میزان 15.60% برای LC راست کاهش مییابد. بطور مشابه، مدل پیشنهادی برای مشخصههای سرعت و شتاب نسبت به مدل PC تا حد زیادی بهبود مییابد. منحنی پارامتری پیشنهادی، نقاط فاصله و برخورد خودروی LC با یک خودروی جلویی و خودروی پشتی در باند هدف را حل میکند و میتوان از آن در برنامهریزی مسیر LC واقعی استفاده کرد.
کلیدواژه ها: مشخصههای شتاب | منحنی پارامتری | سرعت | برنامهریزی مسیر |
مقاله ترجمه شده |
4 |
Road freight emission in China: From supply chain perspective
انتشار بار جاده ای در چین: از دیدگاه زنجیره تامین-2021 Freight emissions management has entered the deep-water zone. This study evaluated road freight emissions from supply chain perspective using China’s 2007, 2010 and 2012 multiregional input-output table. For the first time, we quantified road freight emission based on sectors in China. Heavy industries, mining, agriculture and light industry contributed 71%,14%, 12% and 3% of total NOx emissions in 2012 from production perspective. Construction was the largest consumption sector (43%) responsible for road freight emission from consumption perspective. Upstream transport and final product transport emitted 3.04 Tg (80%) and 0.77 Tg (20%) NOx in 2012. Huge disparities of road freight emissions flows and allocation patterns were found across provinces in China in terms of resource endowments, geographical position and economic development. The road freight emission increased rapidly from 2007 to 2012, and economic growth effect outpaced emission control effect caused by emission standard upgrade and thus dominated the emission growth. The production structure and consumption pattern changes also promoted the emission growth. It is thus important to mitigate freight emissions with different strategies based on a certain sector’s freight emissions features from the whole supply chain. Keywords: Road freight emission | Input-output analysis | Driving force | Supply chain |
مقاله انگلیسی |
5 |
An automated deep learning based anomaly detection in pedestrian walkways for vulnerable road users safety
یک تشخیص ناهنجاری مبتنی بر یادگیری عمیق در معابر پیاده برای ایمنی کاربران جاده ای آسیب پذیر-2021 Anomaly detection in pedestrian walkways is an important research topic, commonly used to improve the safety of pedestrians. Due to the wide utilization of video surveillance systems and the increased quantity of captured videos, the traditional manual examination of labeling abnormal events is a tiresome task. So, an automated surveillance system that detects anomalies becomes essential among computer vision researchers. Presently, the development of deep learning (DL) models has gained significant interest in different computer vision processes namely object classification and object detection, and these applications were depending on supervised learning that required labels. Therefore, this paper develops an automated deep learning based anomaly detectiontechnique in pedestrian walkways (DLADT-PW) for vulnerable road user’s safety. The goal of the DLADT-PWmodel is to detect and classify the various anomalies that exist in the pedestrian walkways such as cars, skating, jeep, etc. The DLADT-PW model involves preprocessing as the primary step, which is applied for removing the noise and raise the quality of the image. In addition, mask region convolutional neural network (Mask-RCNN) with densely connected networks (DenseNet) model is employed for the detection process. To ensure the better anomaly detection performance of the DLADT-PW technique, an extensive set of simulations were performed and the outcomes are investigated under distinct aspects. The obtained experimental values confirmed the superior characteristics of the DLADT-PW technique by achieving a maximum detection accuracy. Keywords: Anomaly detection | Pedestrian walkways | Deep learning | Safety | Mask RCNN |
مقاله انگلیسی |
6 |
The effects of Chile’s 2005 traffic law reform and in-country socioeconomic differences on road traffic deaths among children aged 0-14 years: A 12-year interrupted time series analysis
اثرات اصلاح قانون راهنمایی و رانندگی در سال 2005 شیلی و اختلافات اقتصادی و اجتماعی درون کشور در مورد مرگ و میر در جاده های کودکان در سن 0-14 سال: تجزیه و تحلیل قطع 12 ساله سری های زمانی -2020 Objectives: This study assessed the effect of Chile’s 2005 traffic law reform (TLR) on the rates of road traffic
deaths (RTD) in children aged 0–14 years, adjusting for socioeconomic differences among the regions of the
country.
Methods: Free-access sources of official and national information provided the data for every year of the study
period (2002–2013) and for each of the country’s 13 upper administrative divisions with respect to RTD in child
pedestrians and RTD in child passengers (dependent variables), and the following control variables: the number
of road traffic tickets processed, investment in road infrastructure, poverty, income inequality, insufficient
education, unemployment, population aged 0–14 years, and prevalence of alcohol consumption in the general
population. Interrupted time series analyses (level and slope change impact model), using generalized estimating
equation methods, were conducted to assess the impact of the TLR (independent variable) on the dependents
variables.
Results: There was a significant interaction between time and Chile’s 2005 TLR for a reduction in child pedestrians
(incidence rate ratio [IRR] 0.87, 95% confidence interval [CI] 0.79-0.96) and passengers RTD (IRR for
interaction 0.80, 95% CI 0.67-0.96) trends. In addition, in child pedestrians, RTD rates were affected by poverty
(IRR 1.04, 95% CI 1.02–1.05), income inequality (IRR 1.02, 95% CI 1.00–1.04), and unemployment (IRR 0.94,
95% CI 0.90-0.98), whereas in the case of child passengers, poverty (IRR 1.05, 95% CI 1.01–1.08) and income
inequality (IRR 0.93, 95% CI 0.91-0.95) were significant.
Conclusions: Large-scale legislative actions can be effective road safety measures if they are aimed at promoting
behavioral change in developing countries, improving the safety of children on the road. Additionally, regional
socioeconomic differences are associated with higher RTD rates in this population, making this an argument in
favor of road safety policies that consider these inequalities. The number of road traffic tickets processed and the
investment in road infrastructure were not significant. Keywords: Safety management | Child | Traffic accidents | Mortality | Socioeconomic factors |
مقاله انگلیسی |
7 |
A Non-Convex Control Allocation Strategy as Energy-Efficient Torque Distributors for On-Road and Off-Road Vehicles
یک استراتژی تخصیص کنترل غیر محدب به عنوان توزیع کننده گشتاور مقرون به صرفه برای وسایل نقلیه جاده ای و خارج از جاده-2020 A Vehicle with multiple drivetrains, like a hybrid electric one, is an over-actuated system that means there is
an infinite number of combinations of torques that individual drivetrains can supply to provide a given total
torque demand. Energy efficiency is considered as the secondary objective to determine the optimum solution
among these feasible combinations. The resulting optimisation problem, which is nonlinear due to the multimodal
operation of electric machines, must be solved quickly to comply with the stability requirements of the
vehicle dynamics. A theorem is developed for the first time to formulate and parametrically solve the energyefficient
torque distribution problem of a vehicle with multiple different drivetrains. The parametric solution is
deployable on an ordinary electronic control unit (ECU) as a small-size lookup table that makes it significantly
fast in operation. The fuel-economy of combustion engines, load transformations due to longitudinal and lateral
accelerations, and traction efficiency of the off-road conditions are integrated into the developed theorem.
Simulation results illustrate the effectiveness of the provided optimal strategy as torque distributors of on-road
and off-road electrified vehicles with multiple different drivetrains. Keywords: Traction efficiency | Control allocation | Energy management strategies | Hybrid electric vehicles | Power loss | Multiple drivetrains |
مقاله انگلیسی |
8 |
A causation mechanism for coal bursts during roadway development based on the major horizontal stress in coal: Very specific structural geology causing a localised loss of effective coal confinement and Newton’s second law
مکانیسم سببی برای انفجار زغال سنگ در حین توسعه جاده بر اساس فشار عمده افقی در زغال سنگ: زمین شناسی ساختاری بسیار خاص باعث از بین رفتن موضعی سلول زغال سنگ موثر و قانون دوم نیوتن-2020 In 2017, one of the international authorities on coal bursts, Mark Christopher, published a paper entitled
‘‘Coal bursts that occur during development: A rock mechanics enigma”, in which several relevant technical
issues were identified. This paper outlines what is considered to be a credible, first-principles,
mechanistic explanation for these three current development coal burst conundrums by reference to
early published coal testing work examining the significance of a lack of ‘‘constraint” to coal stability
and an understanding of how very specific structural geology and other geological features can logically
cause this to occur in situ, albeit on a statistically very rare basis. This basic model is examined by reference
to published information pertaining to the development coal-burst that occurred at the Austar Coal
Mine in New South Wales, Australia, in 2014 and from the Sunnyside District in Utah, the United States.
The ‘‘cause and effect” model for development of coal bursts presented also offers a meaningful explanation
for the statistical improbability for what are nonetheless potentially highly-destructive events, being
able to explain the statistical rarity being just as important to the credibility of the model as explaining
the local conditions associated with burst events. The model could also form the basis for a robust, riskbased
approach utilising a ‘‘hierarchy of controls”, to the operational management of the development
coal burst threat. Specifically, the use of pre-mining predictions for likely burst-prone and non-burstprone
areas, the use of the mine layout to avoid or at least minimise mining within burst-prone areas
if appropriate, and finally the development of an operational Trigger Action Response Plan (TARP) that
reduces the likelihood of inadvertent roadway development into a burst-prone area without suitable
safety controls already being in place. Keywords: Development coal burst | Wing-cracks | Austar Mine | Sunnyside Mine | Major horizontal stress in coal |
مقاله انگلیسی |
9 |
Effectiveness of implementing the criminal administrative punishment law of drunk driving in China: An interrupted time series analysis, 2004-2017
اثربخشی اجرای قانون مجازات اداری رانندگی در مستی در چین: تجزیه و تحلیل سری زمانی قطع شده ، 2004-2017-2020 In 2011, a more severe drunk driving law was implemented in China, which criminalized driving under the
influence of alcohol for the first time and increased penalties for drunk driving. The present study aimed to assess
effectiveness of the drunk driving law in China in reducing traffic crashes, injuries, and mortality. Data used in
this study was obtained from the Traffic Management Bureau of the Ministry of Public Security of the People’s
Republic of China. An interrupted time series analysis was conducted to analyze annual data from 2004 to 2017,
including the number of road traffic crashes, deaths, and injuries caused by drunk driving in China. The average
annual incidences of crashes, mortality, and injuries have decreased after the promulgation of drunk driving law
in 2011. In the post-intervention period, the increased slope for crashes, mortality and injury rates were, respectively,
-0.140 to -0.006, -0.052 to -0.005 and -0.150 to -0.008, indicating a weaker downward trend of
dependent variables. The more stringent drunk driving law is not as effective as expected. Drunk driving is still a
severe traffic safety problem to be addressed in China. Both legislation and other prevention programs should be
adopted to reduce road traffic injuries caused by drunk driving in China. Keywords: Drunk driving | Interrupted time series analysis | Road traffic law | Injury | Evaluation | China |
مقاله انگلیسی |
10 |
انتشار پیامهای امنیتی به خودروها و بررسی با استفاده از چک کردن مدل در VANETs
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 21 بررسی مدلی یکی از تکنیکهای تایید رسمی است که به طور گسترده برای تایید و اصلاح خطاهای طراحی پروتکلهای ارتباطی استفاده میشود . بررسی مدل از الگوریتمها برای تایید درستی سیستم استفاده میکند . این مقاله یک توصیف کامل از روششناسی تایید پروتکلهای ارتباطی vanet با استفاده از جستجوگر مدل SPIN ارائه میکند . اکثر پروتکلهای ارتباطی vanet از واحدهای طرف جاده برای انتقال اطلاعات مربوط به ایمنی / ترافیک مربوط به وسایل نقلیه دور استفاده میکنند . این سیستم پیشنهادی یک سیستم تایید برای بررسی خطاهای طراحی و طراحی پروتکلهای ارتباطی vanet با استفاده از کنترلکننده مدل ارائه میکند . در نهایت , نتایج شبیهسازی و تایید ارائه میشوند .
. واژهای کاربردی: پروتکل ارتباطی | واحدهای طرف جاده | تایید رسمی | کنترلکننده مدل SPIN | اطلاعات ایمن |
مقاله ترجمه شده |