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 |
---|---|---|
1 |
IoT-based Prediction Models in the Environmental Context: A Systematic Literature Review
مدلهای پیشبینی مبتنی بر اینترنت اشیا در زمینه محیطی: مروری بر ادبیات سیستماتیک-2022 Undoubtedly, during the last years climate change has alerted the research community of the natural environment sector. Furthermore, the advent of Internet of Things (IoT) paradigm has enhanced the research activity in the environmental field offering low-cost sensors. Moreover, artificial
intelligence and more specifically, statistical and machine learning methodologies have proved their predictive power in many disciplines and various
real-world problems. As a result of the aforementioned, many scientists of
the environmental research field have performed prediction models exploiting
the strength of IoT data. Hence, insightful information could be extracted
from the review of these research works and for this reason, a Systematic
Literature Review (SLR) is introduced in the present manuscript in order to
summarize the recent studies of the field under specific rules and constraints.
From the SLR, 54 primary studies have been extracted during 2017-2021.
The analysis showed that many IoT-based prediction models have been applied the previous years in 10 different environmental issues, presenting in
the majority of the primary studies promising results.
keywords: Natural Environment | Internet of Things | Prediction Models | Systematic Literature Review |
مقاله انگلیسی |
2 |
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 |
3 |
انتخاب چاه برای طراحی بهینه شبکه پایش آب های زیرزمینی بر اساس نقشه اولویت پایش: مطالعه موردی جزیره کیش
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 14 - تعداد صفحات فایل doc فارسی: 25 این مقاله یک رویکرد جدید، یعنی ترکیبی از آزمایش گاما و نقشه اولویت پایش، برای طراحی بهینه شبکه پایش آب زیرزمینی (GMN) با در نظر گرفتن اثرات تجمعی صنایع، فعالیتهای انسانی و عوامل طبیعی بر کیفیت آبهای زیرزمینی ارائه میکند. روش پیشنهادی طراحی شبکه بهینه برای پایش شوری آب زیرزمینی در جزیره کیش خلیج فارس با موفقیت به کار گرفته شد. نقشه اولویت پایش شوری آب های زیرزمینی بر اساس شاخص GALDIT و دو عامل جدید شامل میانگین نوسان هدایت الکتریکی آب های زیرزمینی (F) و فاصله از صنایع تخلیه کننده پساب شور (P) به دست آمد. تعداد بهینه چاه های پایش با استفاده از تجزیه و تحلیل داده ها بر اساس روش آزمون گاما تعیین شد. سپس الگوریتمی کاربردی برای تعیین مکان بهینه چاه های پایش ارائه شد. بر اساس نتایج، تعداد بهینه چاه های پایش 110 حلقه است و موقعیت آنها در کل جزیره دارای توزیع عادلانه است.
کلیدواژه ها: شبکه پایش آب زیرزمینی | مدیریت آب | GALDIT | نقشه اولویت پایش | آزمایش گاما | پایش محیطی |
مقاله ترجمه شده |
4 |
Simultaneous Estimation of Parameters and the State of an Optical Parametric Oscillator System
تخمین همزمان پارامترها و وضعیت یک سیستم نوسان ساز پارامتری نوری-2022 In this article, we consider the filtering problem of an optical parametric oscillator (OPO).
The OPO pump power may fluctuate due to environmental disturbances, resulting in uncertainty in the
system modeling. Thus, both the state and the unknown parameter may need to be estimated simultaneously.
We formulate this problem using a state-space representation of the OPO dynamics. Under the assumption
of Gaussianity and proper constraints, the dual Kalman filter method and the joint extended Kalman filter
method are employed to simultaneously estimate the system state and the pump power. Numerical examples
demonstrate the effectiveness of the proposed algorithms. keywords: Optical parametric oscillator (OPO) | OPO system | parameter estimation | quantum state estimation | simultaneous estimation. |
مقاله انگلیسی |
5 |
بیوپلیمر: ماده ای پایدار برای کاربردهای غذایی و پزشکی
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 22 - تعداد صفحات فایل doc فارسی: 48 پلیمرهای زیستی یک گروه پیشرو از مواد کاربردی مناسب برای کاربردهای با ارزش بالا هستند که مورد توجه محققان و متخصصان در رشتههای مختلف قرار گرفته اند. برای درک جنبه های اساسی و کاربردی بیوپلیمرها برای رسیدگی به چندین مشکل پیچیده مرتبط با سلامت و رفاه مهم به تحقیقات بین رشته ای نیاز است. برای کاهش اثرات زیست محیطی و وابستگی به سوخت های فسیلی، تلاش زیادی برای جایگزینی پلیمرهای مصنوعی با مواد زیست تخریب پذیر، به ویژه آنهایی که از منابع طبیعی به دست می آیند، انجام شده است. در این راستا، بسیاری از انواع پلیمرهای طبیعی یا زیستی برای رفع نیازهای کاربردهای روزافزون توسعه یافته اند. این بیوپلیمرها در حال حاضر در مصارف غذایی مورد استفاده قرار می گیرند و به دلیل خواص منحصر به فردشان در حال گسترش در صنایع دارویی و پزشکی هستند. این بررسی بر روی کاربردهای مختلف پلیمرهای زیستی در صنایع غذایی و پزشکی تمرکز دارد و چشم انداز آینده را برای صنعت بیوپلیمر ارائه می دهد.
واژگان کلیدی: پلیمرهای زیستی | کاربردهای پزشکی و غذایی | مواد زیست تخریب پذیر | پلی ساکاریدهای میکروبی | کیتوزان |
مقاله ترجمه شده |
6 |
A new DTN routing strategies ensuring high message delivery ratio while keeping low power consumption
یک استراتژی جدید مسیریابی DTN با تضمین نسبت تحویل پیام بالا و مصرف کم انرژی-2022 This study proposes Delay/Disruption Tolerant Networking (DTN) routing strategies for disaster
information delivery under the existence of obstacles that are based on the message relay
decision (MRD) method. The proposed methods include a new added obstacle detection
procedure to deliver messages to destinations while bypassing the obstacles. Efficient and
precise relief activities are required immediately after disasters, and it is well known that
obstacles appearing after a disaster will degrade message forwarding performance. Hence, the
proposed schemes maintain communication performance by using a node to detect the existence
of obstacles around itself. If there are obstacles, the message strategy is altered to bypass
the obstacle. In this study, human-beings are the main mobile nodes and mobile phones are
the creators and forwarders of messages. A multiple obstacle model is used to evaluate the
schemes in terms of obstacle-resistance. Three routing schemes are proposed: MRD with area
increase (MRDAI), Sub-Relay Station (SRS), and Adapted Predict Obstacle (APO). This model
tests MRDAI and SRS at the macro level and APO under the existence of concave obstacles. The
MRDAI scheme could autonomously perceive the existence of a huge obstacle and intelligently
enlarge the original message relay area. The SRS scheme could re-establish sub-relay areas
based on MRDAI. The APO scheme demonstrated resistance to concave obstacles, stability
(less affected by environmental changes), and a high delivery ratio while ensuring low energy
consumption. These proposed strategies for information delivery in a disaster area can be used
to launch rescue activities more quickly.
Keywords: DTN | Routing strategy | Disaster information | Avoiding obstacles |
مقاله انگلیسی |
7 |
An integrated solution of software and hardware for environmental monitoring
راه حل یکپارچه نرم افزاری و سخت افزاری برای نظارت محیطی-2022 With the expansion of the Internet of Things (IoT), several monitoring solutions are available
in the market. However, most solutions use proprietary software, which is costly and do not
provide online monitoring, hampering data access and hindering preventive actions. This article
presents LimnoStation, a low-cost integrated hardware and software solution that employs IoT
concepts with LoRaWan, whose main objective is to monitor environmental and oceanographic
data from surface and submerged sensors, which can be accessed online and has low-power
consumption. Long-distance transmission tests were performed analyzing battery consumption
and readings taken by the LimnoStation sensors. The results show that the average error of
sensor readings was 0.51%, with a battery life of more than 2900 days and costing about 100
times less compared to commercial sensors. The evaluation of the LimnoStation showed that it
is viable not only for academic use, but also as a replacement for presenting lower cost, high
reliability, greater integration, and more functionality than most solutions found on the market.
Keywords: IoT | LoRaWan | LoRa | Environmental monitoring |
مقاله انگلیسی |
8 |
A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory
شبیه ساز مقیاس پذیر برای تبدیل فوریه کوانتومی با استفاده از چند FPGA با حافظه با پهنای باند بالا-2022 Quantum computing is regarded as the future of computing that hopefully provides exponentially large processing power compared to the conventional digital computing. However, current quantum
computers do not have the capability to correct errors caused by environmental noise, so that it is difficult
to run useful algorithms that require deep quantum circuits. Therefore, emulation of quantum circuits in
digital computers is essential. However, emulation of large quantum circuits requires enormous amount of
computations, and leads to a very large processing time. To reduce the processing time, we propose an FPGA
emulator with high-bandwidth-memory to emulate quantum Fourier transform (QFT), which is a major
part of many quantum algorithms. The proposed FPGA emulator is scalable in terms of both processing
speed and the number of qubits, and extendable to multiple FPGAs. We performed QFT emulations up
to 30 qubits using two FPGAs. According to the measured results, we have achieved 23:6 ∼ 24:5 times
speed-up compared to a fully optimized 24-core CPU emulator.
INDEX TERMS: Quantum computing | quantum circuits | high-bandwidth memory | FPGA | quantum Fourier transform. |
مقاله انگلیسی |
9 |
FANETs in Agriculture - A routing protocol survey
FANETs در کشاورزی - مرور پروتکل مسیریابی-2022 Breakthrough advances on communication technology, electronics and sensors have led to
integrated commercialized products ready to be deployed in several domains. Agriculture
is and has always been a domain that adopts state of the art technologies in time, in order
to optimize productivity, cost, convenience, and environmental protection. The deployment
of Unmanned Aerial Vehicles (UAVs) in agriculture constitutes a recent example. A timely
topic in UAV deployment is the transition from a single UAV system to a multi-UAV system.
Collaboration and coordination of multiple UAVs can build a system that far exceeds the
capabilities of a single UAV. However, one of the most important design problems multi-
UAV systems face is choosing the right routing protocol which is prerequisite for the co-
operation and collaboration among UAVs. In this study, an extensive review of Flying Ad-
hoc network (FANET) routing protocols is performed, where their different strategies and
routing techniques are thoroughly described. A classification of UAV deployment in agri-
culture is conducted resulting in six (6) different applications: Crop Scouting, Crop Survey-
ing and Mapping, Crop Insurance, Cultivation Planning and Management, Application of
Chemicals,and Geofencing. Finally, a theoretical analysis is performed that suggests which
routing protocol can serve better each agriculture application, depending on the mobility
models and the agricultural-specific application requirements.
keywords: کشاورزی هوشمند | کشاورزی دقیق | وسایل نقلیه هوایی بدون سرنشین (UAV) | شبکه های ادوک پرنده (FANET) | پروتکل های مسیریابی | مدل های تحرک | smart farming | precision agriculture | unmanned aerial vehicles (UAVs) | flying adhoc networks (FANETs) | routing protocols | mobility models |
مقاله انگلیسی |
10 |
Implementation and Calibration of an IoT Light Attenuation Turbidity Sensor
پیاده سازی و کالیبراسیون سنسور مه آلود تضعیف نور اینترنت اشیا-2022 Turbidity is an important characteristic of water quality that can indicate the presence of un-
desirable suspended particulate matter. Having access to an inexpensive and effective turbidity
sensor unlocks numerous Internet of Things (IoT) possibilities for remote environmental moni-
toring. Optical light attenuation turbidity sensors operate on the premise of detecting signal
degradation from a light source due to scattering from particles in a solution. This approach is
technologically unpretentious and only requires a handful of inexpensive electronic components
to construct. However, while this method is touted as “simple”, a significant challenge lies in
sensor calibration. That is, converting an analogue signal into a meaningful and accurate digital
reading in a known turbidity measurement standard (e.g., Nephelometric Turbidity Units (NTU)).
This paper presents an IoT light attenuation turbidity sensor design and explores the calibration
process to determine the sensor’s range and accuracy. Sensor calibration is undertaken using
Formazin turbidity standards and is cross-checked against a commercial turbidimeter. We provide
a step-by-step procedure for determining the correct signal strength to use and a functional form
for the sensor response to the Formazin standard. Finally, we specify an estimate of the accuracy
of the sensor and suggest the next steps in the proposed turbidity sensor’s development. Results
indicate that the sensor achieves within 2%-10% of accuracy at higher ranges (100–4000 NTU),
but its performance becomes significantly less reliable in low NTU ranges (< 100 NTU) where the
error rate increases to 26%. The turbidity sensor is used as part of an IoT remote aquatic envi-
ronmental monitoring platform. keywords: Internet of underwater things | Turbidity | Affordable sensors | Calibration | attenuation turbidimeter |
مقاله انگلیسی |