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ردیف | عنوان | نوع |
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1 |
A computer vision-based method for bridge model updating using displacement influence lines
یک روش مبتنی بر بینایی کامپیوتری برای بهروزرسانی مدل پل با استفاده از خطوط موثر جابجایی-2022 This paper presents a new computer vision-based method that simultaneously provides the moving vehicle’s
tire loads, the location of the loads on a bridge, and the bridge’s response displacements, based on which the
bridge’s influence lines can be constructed. The method employs computer vision techniques to measure the
displacement influence lines of the bridge at different target positions, which is then later used to perform
model updating of the finite element models of the monitored structural system.
The method is enabled by a novel computer vision-based vehicle weigh-in-motion method which the coauthors recently introduced. A correlation discriminating filter tracker is used to estimate the displacements at target points and the location of single or multiple moving loads, while a low-cost, non-contact weigh-in-motion technique evaluates the magnitude of the moving vehicle loads. The method described in this paper is tested and validated using a laboratory bridge model. The system was loaded with a vehicle with pressurized tires and equipped with a monitoring system consisting of laser displacement sensors, accelerometers, and cameras. Both artificial and natural targets were considered in the experimental tests to track the displacements with the cameras and yielded robust results consistent with the laser displacement measurements. The extracted normalized displacement influence lines were then successfully used to perform model updating of the structure. The laser displacement sensors were used to validate the accuracy of the proposed computer vision-based approach in deriving the displacement measurements, while the accelerometers were used to derive the system’s modal properties employed to validate the updated finite element model. As a result, the updated finite element model correctly predicted the bridge’s displacements measured during the tests. Furthermore, the modal parameters estimated by the updated finite element model agreed well with those extracted from the experimental modal analysis carried out on the bridge model. The method described in this paper offers a low-cost non-contact monitoring tool that can be efficiently used without disrupting traffic for bridges in model updating analysis or long-term structural health monitoring. keywords: Computer vision | Displacement influence line | Vehicle weigh-in-motion | Structural identification | Finite element method model | Model updating | Modal analysis | Bridge systems |
مقاله انگلیسی |
2 |
Computer vision-based illumination-robust and multi-point simultaneous structural displacement measuring method
روش اندازه گیری جابجایی ساختاری همزمان با روشنایی مبتنی بر بینایی کامپیوتری-2022 Computer vision-based techniques for structural displacement measurement are rapidly becoming
popular in civil structural engineering. However, most existing computer vision-based displace-
ment measurement methods require man-made targets for object matching or tracking, besides
usually the measurement accuracies are seriously sensitive to the ambient illumination variations.
A computer vision-based illumination robust and multi-point simultaneous measuring method is
proposed for structural displacement measurements. The method consists of two part, one is for
segmenting the beam body from its background, the segmentation is perfectly carried out by fully
convolutional network (FCN) and conditional random field (CRF); another is digital image cor-
relation (DIC)-based displacement measurement. A simply supported beam is built in laboratory.
The accuracy and illumination robustness are verified through three groups of elaborately
designed experiments. Due to the exploitation of FCN and CRF for pixel-wise segmentation,
numbers of locations along with the segmented beam body can be chosen and measured simul-
taneously. It is verified that the method is illumination robust since the displacement measure-
ments are with the smallest fluctuations to the illumination variations. The proposed method does
not require any man-made targets attached on the structure, but because of the exploitation of
DIC in displacement measurement, the regions centered on the measuring points need to have
texture feature. keywords: پایش سلامت سازه | اندازه گیری جابجایی | بینایی کامپیوتر | یادگیری عمیق | تقسیم بندی شی | همبستگی تصویر دیجیتال | Structural health monitoring | Displacement measurement | Computer vision | Deep learning | Object segmentation | Digital image correlation |
مقاله انگلیسی |
3 |
Towards automatic waste containers management in cities via computer vision: containers localization and geo-positioning in city maps
به سمت مدیریت خودکار ظروف زباله در شهرها از طریق بینایی کامپیوتری: محلی سازی ظروف و موقعیت جغرافیایی در نقشه های شهر-2022 This paper describes the scientific achievements of a collaboration between a research group and the waste
management division of a company. While these results might be the basis for several practical or commercial
developments, we here focus on a novel scientific contribution: a methodology to automatically generate geo-
located waste container maps. It is based on the use of Computer Vision algorithms to detect waste containers
and identify their geographic location and dimensions. Algorithms analyze a video sequence and provide an
automatic discrimination between images with and without containers. More precisely, two state-of-the-art
object detectors based on deep learning techniques have been selected for testing, according to their perfor-
mance and to their adaptability to an on-board real-time environment: EfficientDet and YOLOv5. Experimental
results indicate that the proposed visual model for waste container detection is able to effectively operate with
consistent performance disregarding the container type (organic waste, plastic, glass and paper recycling,…) and
the city layout, which has been assessed by evaluating it on eleven different Spanish cities that vary in terms of
size, climate, urban layout and containers’ appearance. keywords: Waste container localization | Deep Learning | Computer Vision | Object detection |
مقاله انگلیسی |
4 |
Memristor Crossbar Arrays Performing Quantum Algorithms
آرایه های ضربدری ممریستور که الگوریتم های کوانتومی را انجام می دهند-2022 There is a growing interest in quantum computers
and quantum algorithm development. It has been proved that
ideal quantum computers, with zero error rates and large
decoherence times, can solve problems that are intractable
for today’s classical computers. Quantum computers use two
resources, superposition and entanglement, that have no classical
analog. Since quantum computer platforms that are currently
available comprise only a few dozen of qubits, the use of quantum
simulators is essential in developing and testing new quantum
algorithms. We present a novel quantum simulator based on
memristor crossbar circuits and use them to simulate well-known
quantum algorithms, namely the Deutsch and Grover quantum algorithms. In quantum computing the dominant algebraic
operations are matrix-vector multiplications. The execution time
grows exponentially with the simulated number of qubits, causing
an exponential slowdown in quantum algorithm execution using
classical computers. In this work, we show that the inherent
characteristics of memristor arrays can be used to overcome this
problem and that memristor arrays can be used not only as independent quantum simulators but also as a part of a quantum computer stack where classical computers accelerators are
connected. Our memristive crossbar circuits are re-configurable
and can be programmed to simulate any quantum algorithm.
Index Terms— Memristors | memristor crossbars | quantum algorithms | quantum simulators. |
مقاله انگلیسی |
5 |
Examining the internet of educational things adoption using an extended unified theory of acceptance and use of technology
بررسی پذیرش اینترنت از اشیا آموزشی با استفاده از یک نظریه یکپارچه گسترده پذیرش و استفاده از فناوری-2022 The purpose of this study is to examine the adoption of IoT applications for educational purposes
by focusing on students’ perspectives. To validate the internet of educational things (IoET) ap-
plications’ acceptance and usage, the main constructs of UTAUT2 theory were integrated with
innovativeness and social support constructs. This study adopts a quantitated study method and
examined empirically through smart PLS-SEM software, an online questionnaire is established
and disseminated to Taibah university students. Results revealed that social support, facilitated
conditions, innovativeness, and effort expectancy of UTAUT2 constructs had the strongest effect
on IoET applications’ acceptance and usage respectively. Whereas performance expectancy, and
perceived usefulness had the weakest effect on IoET adoption respectively. On the other hand, the
relationship between perceived ease of use and IoET behavioral intention were not supported
because of insignificant relationships. The results demonstrated in this study potentially assist the
universities to understand the main determinists of using IoET applications acceptance and usage
from students’ perspectives to integrate the IoT concept in teaching and learning. keywords: اینترنت اشیا آموزشی | حمایت اجتماعی | نوآوری | عربستان سعودی | Internet of educational things | UTAUT2 | Social support | Innovativeness | Saudi Arabia |
مقاله انگلیسی |
6 |
Accounting constructs and economic consequences of IFRS adoption in India
سازه های حسابداری و پیامدهای اقتصادی IFRS پذیرش در هند-2021 In this study, we investigate the effects from the adoption of International Financial
Reporting Standards based Indian Accounting Standards (Ind-AS) on the quality and comparability of financial reporting by Indian firms. Further, we examine whether these
changes in reporting quality and comparability lead to improvement in a firm’s valuation,
liquidity, and return volatility. We find that the implementation of Ind-AS improves financial comparability. Further, we report that improvements in accounting comparability,
rather than reporting quality, had a more significant and relatively greater effect on economic outcomes for Indian firms around the time of Ind-AS adoption.
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مقاله انگلیسی |
7 |
A verb-frame frequency account of constraints on long-distance dependencies in English
یک حساب فرکانس فعل از محدودیتهای وابستگیهای فاصلهای طولانی در زبان انگلیسی-2021 Going back to Ross (1967) and Chomsky (1973), researchers have sought to understand what conditions permit
long-distance dependencies in language, such as between the wh-word what and the verb bought in the sentence
‘What did John think that Mary bought?’. In the present work, we attempt to understand why changing the main
verb in wh-questions affects the acceptability of long-distance dependencies out of embedded clauses. In
particular, it has been claimed that factive and manner-of-speaking verbs block such dependencies (e.g., ‘What
did John know/whisper that Mary bought?’), whereas verbs like think and believe allow them. Here we provide 3
acceptability judgment experiments of filler-gap constructions across embedded clauses to evaluate four types of
accounts based on (1) discourse; (2) syntax; (3) semantics; and (4) our proposal related to verb-frame frequency.
The patterns of acceptability are most simply explained by two factors: verb-frame frequency, such that de-
pendencies with verbs that rarely take embedded clauses are less acceptable; and construction type, such that
wh-questions and clefts are less acceptable than declaratives. We conclude that the low acceptability of filler-gap
constructions formed by certain sentence complement verbs is due to infrequent linguistic exposure. keywords: پردازش حکم | اثرات فرکانس | وابستگی های راه دور | جزایر نحوی | Sentence processing | Frequency effects | Long-distance dependencies | Syntactic islands |
مقاله انگلیسی |
8 |
Credit expansion, bank liberalization, and structural change in bank asset accounts
گسترش اعتبار، آزاد سازی بانک، و تغییر ساختاری در حسابهای دارایی بانک-2021 This paper studies the links among credit supply expansion, commercial bank asset ac-
count structures, and the housing boom preceding the 20 07–20 09 financial crisis. We
propose a real business cycle model with a housing market and financial intermediaries
(banks) subject to leverage constraints. In our model, banks channel funds to firms for
production and provide collateralized loans to mortgage borrowers; thus, banks determine
their asset account structures endogenously. We show that a credit supply expansion to
banks can account for four key facts that characterize the housing boom: (1) an increase
in real house prices; (2) an increase in the mortgage-to-GDP ratio; (3) a decrease in the
real mortgage interest rate; and (4) an increase in the ratio of mortgages to firm loans in
commercial bank asset accounts. In our model, a credit supply expansion to banks can also
generate a boom-bust cycle through the collateral value channel via mortgage borrowers.
Asset-side bank regulations that reduce excessive mortgage issuance during a credit boom
can help to dampen the subsequent economic downturn. keywords: گسترش اعتبار | لیبرال سازی بانک | ورق بانکی | چرخه کسب و کار | Credit expansion | Bank liberalization | Bank balance sheet | Business cycle |
مقاله انگلیسی |
9 |
Experimental investigation of structural system capacity with multiple fatigue cracks
بررسی تجربی ظرفیت سیستم ساختاری با ترک های خستگی متعدد-2021 Few experimental data sets exist in the literature to support the development and evaluation of digital twins predicting structural degradation. The literature is especially sparse for system tests where multiple failures occur and interact. In this work, a laboratory-level experiment is conducted to mimic many of the properties of larger and more complex marine structures with redundant load paths, failure interaction, and component-to-system level integration. In the experiment, such properties are reflected by a hexagon tension specimen with four propagating fatigue cracks tested under displacement-controlled loading. The applied loading cycles and corresponding crack lengths are recorded as the major time-varying data of degradation, with the resisting force at maximum extension used as the system capacity. A novel computer vision method is used to measure the crack length. Strain gauges are also used to monitor the structure’s status. The experimental data is presented and analyzed in this paper. The resulting data sets can be used to evaluate the performance of different digital twin updating approaches. Keywords: Fatigue test | Laboratory scale | Multi-degradation | Marine structures | Crack length measurement |
مقاله انگلیسی |
10 |
Appropriation of accounting information system use under the new IFRS: Impacts on accounting process performance
تخصیص استفاده از سیستم اطلاعات حسابداری تحت IFRS جدید: تاثیرات بر عملکرد پردازش حسابداری-2021 The newly issued International Financial Reporting Standards (IFRS) have significantly transformed the ac-
counting process and the accounting information system (AIS). Confronting the changes in information tech-
nologies (IT), using the AIS appropriately is crucial to derive accurate information from which to process
business transactions and report information in compliance with the new IFRS. Built on adaptive structuration
theory (AST), this study is aimed toward investigating how accounting regulatory changes influence AIS use,
which consequently affects accounting process performance. Data are collected through a questionnaire survey of
250 accountants from 36 countries currently using the IFRS as their accounting standards. The results show that
perceived system restrictiveness, IT professional support, and accountant’s self-efficacy significantly explain
faithfulness of appropriation (FOA) whereas perceived effectiveness of controls on IT use does not. FOA in-
fluences exploitive and exploratory task adaptations, which subsequently predict accounting process perfor-
mance under the new IFRS. This study enriches the AST literature and contributes to both the accounting and IT
domains. Our findings provide organizations with new insights into how to maintain the efficiency of accounting
practice and business operations under the new IFRS. keywords: سیستم اطلاعات حسابداری (AIS) | تئوری ساختار سازگاری (AST) | استانداردهای گزارشگری مالی بین المللی | (IFRS) | وفاداری تخصیص (FOA) | عملکرد پردازش حسابداری | Accounting information system (AIS) | Adaptive structuration theory (AST) | International financial reporting standards | (IFRS) | Faithfulness of appropriation (FOA) | Accounting process performance |
مقاله انگلیسی |