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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11 |
Computer vision model for estimating the mass and volume of freshly harvested Thai apple ber ( Ziziphus mauritiana L:) and its variation with storage days
مدل بینایی کامپیوتری برای تخمین جرم و حجم سیب تازه برداشت شده تایلندی (Ziziphus mauritiana L:) و تغییرات آن با روزهای نگهداری-2022 The physical properties of fruits are proportional to their mass and volume; this connection is used to determine
the fruit qualities and in designing the novel postharvest machinery. The present study aimed to forecast the
mass and volume of Thai apple ber (Ziziphus mauritiana L.) as a function of its physical properties measured using
image processing techniques at different stages of ripening (1st day, 4th day, 7th day, and 10th day). The mass
and volume models developed and analyzed the single variable regression, multilinear regressions, and mass
regression based on volume. Among these models, linear support vector machine (SVM) was found appropriate.
The experimental data analysis showed that the R2 of the linear SVM model for mass and volume of the projected
area were 0.955 and 0.965, respectively. In contrast, for the multilinear regression model, R2 values were 0.967
and 0.972, respectively. For the mass prediction model, the R2 was 0.970 based on calculated volume showing a
linear relationship. Thus, it was concluded that real-time measurement of physical properties of Thai apple ber
using an image-processing technique to estimate the mass and volume is a precise and accurate approach. keywords: بینایی کامپیوتر | پردازش تصویر | فراگیری ماشین | پسرفت | ماشین بردار پشتیبانی | Computer vision | Image processing | Machine learning | Regression | Support vector machine |
مقاله انگلیسی |
12 |
Human perception of color differences using computer vision system measurements of raw pork loin
درک انسان از تفاوتهای رنگی با استفاده از اندازهگیریهای سیستم بینایی کامپیوتری گوشت خوک خام-2022 In the food industry, product color plays an important role in influencing consumer choices. Yet, there remains
little research on the human ability to perceive differences in product color; therefore, preference testing is
subjective rather than based on quantitative colors. Using a de-centralized computer-aided systematic discrim-
ination testing method, we ascertain consumers’ ability to discern between systematically varied colors. As a case
study, the colors represent the color variability of fresh pork as measured by a computer vision system. Our
results indicate that a total color difference (ΔE) of approximately 1 is discriminable by consumers. Furthermore,
we ascertain that a change in color along the b*-axis (yellowness) in CIELAB color space is most discernable,
followed by the a*-axis (redness) and then the L*-axis (lightness). As developed, our web-based discrimination
testing approach allows for large scale evaluation of human color perception, while these quantitative findings
on meat color discrimination are of value for future research on consumer preferences of meat color and beyond. keywords: تست تبعیض | تست مثلث | ترجیح رنگ | ظاهر غذا | رنگ گوشت | Discrimination testing | Triange test | Color preference | Food appearance | Meat color |
مقاله انگلیسی |
13 |
The application of computer vision systems in meat science and industry – A review
کاربرد سیستم های بینایی کامپیوتری در علم و صنعت گوشت – مروری-2022 Computer vision systems (CVS) are applied to macro- and microscopic digital photographs captured using digital
cameras, ultrasound scanners, computer tomography, and wide-angle imaging cameras. Diverse image acquisi-
tion devices make it technically feasible to obtain information about both the external features and internal
structures of targeted objects. Attributes measured in CVS can be used to evaluate meat quality. CVS are also used
in research related to assessing the composition of animal carcasses, which might help determine the impact of
cross-breeding or rearing systems on the quality of meat. The results obtained by the CVS technique also
contribute to assessing the impact of technological treatments on the quality of raw and cooked meat. CVS have
many positive attributes including objectivity, non-invasiveness, speed, and low cost of analysis and systems are
under constant development an improvement. The present review covers computer vision system techniques,
stages of measurements, and possibilities for using these to assess carcass and meat quality. keywords: سیستم بینایی کامپیوتری | گوشت | محصولات گوشتی | لاشه | Computer vision system | Meat | Meat products | Carcass |
مقاله انگلیسی |
14 |
Guesswork of a Quantum Ensemble
حدس و گمان یک گروه کوانتومی-2022 The guesswork of a quantum ensemble quantifies
the minimum number of guesses needed in average to correctly
guess the state of the ensemble, when only one state can be
queried at a time. Here, we derive analytical solutions of the
guesswork problem subject to a finite set of conditions, including
the analytical solution for any qubit ensemble with uniform
probability distribution. As explicit examples, we compute the
guesswork for any qubit regular polygonal and polyhedral
ensemble.
Index Terms: Guesswork | quantum states | quantum measurements | quantum state discrimination. |
مقاله انگلیسی |
15 |
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 |
16 |
High-Stability Cryogenic System for Quantum Computing With Compact Packaged Ion Traps
سیستم برودتی با پایداری بالا برای محاسبات کوانتومی با تله های یونی بسته بندی شده فشرده-2022 Cryogenic environments benefit ion trapping experiments by offering lower motional heating
rates, collision energies, and an ultrahigh vacuum (UHV) environment for maintaining long ion chains
for extended periods of time. Mechanical vibrations caused by compressors in closed-cycle cryostats can
introduce relative motion between the ion and the wavefronts of lasers used to manipulate the ions. Here,
we present a novel ion trapping system where a commercial low-vibration closed-cycle cryostat is used
in a custom monolithic enclosure. We measure mechanical vibrations of the sample stage using an optical
interferometer, and observe a root-mean-square relative displacement of 2.4 nm and a peak-to-peak displacement of 17 nm between free-space beams and the trapping location. We packaged a surface ion trap
in a cryopackage assembly that enables easy handling while creating a UHV environment for the ions. The
trap cryopackage contains activated carbon getter material for enhanced sorption pumping near the trapping
location, and source material for ablation loading. Using 171Yb+ as our ion, we estimate the operating
pressure of the trap as a function of package temperature using phase transitions of zig-zag ion chains as a
probe. We measured the radial mode heating rate of a single ion to be 13 quanta/s on average. The Ramsey
coherence measurements yield 330-ms coherence time for counter-propagating Raman carrier transitions
using a 355-nm mode-locked pulse laser, demonstrating the high optical stability.
INDEX TERMS: Optomechanical design | quantum computing | trapped ions. |
مقاله انگلیسی |
17 |
Hybrid CV-DV Quantum Communications and Quantum Networks
ارتباطات کوانتومی ترکیبی CV-DV و شبکه های کوانتومی-2022 Quantum information processing (QIP) opens new opportunities for high-performance
computing, high-precision sensing, and secure communications. Among various QIP features, the entanglement is a unique one. To take full advantage of quantum resources, it will be necessary to interface quantum
systems based on different encodings of information both discrete and continuous. The goal of this paper
is to lay the groundwork for the development of a robust and efficient hybrid continuous variable-discrete
variable (CV-DV) quantum network, enabling the distribution of a large number of entangled states over
hybrid DV-CV multi-hop nodes in an arbitrary topology. The proposed hybrid quantum communication
network (QCN) can serve as the backbone for a future quantum Internet, thus providing extensive longterm impacts on the economy and national security through QIP, distributed quantum computing, quantum
networking, and distributed quantum sensing. By employing the photon addition and photon subtraction
modules we describe how to generate the hybrid DV-CV entangled states and how to implement their
teleportation and entanglement swapping through entangling measurements. We then describe how to
extend the transmission distance between nodes in hybrid QCN by employing macroscopic light states,
noiseless amplification, and reconfigurable quantum LDPC coding. We further describe how to enable
quantum networking and distributed quantum computing by employing the deterministic cluster state
concept introduced here. Finally, we describe how the proposed hybrid CV-DV states can be used in an
entanglement-based hybrid QKD.
INDEX TERMS: Entanglement | photon addition | photon subtraction | hybrid CV-DV entangled states | teleportation | entanglement swapping | entanglement distribution | hybrid quantum communication networks | entanglement-based hybrid QKD. |
مقاله انگلیسی |
18 |
Learning Quantum Circuits of Some T Gates
آموزش مدارهای کوانتومی برخی از T Gates-2022 In this paper, we study the problem of learning
an unknown quantum circuit of a certain structure. If the
unknown target is an n-qubit Clifford circuit, we devise an
efficient algorithm to reconstruct its circuit representation by
using O(n2) queries to it. For decades, it has been unknown how
to handle circuits beyond the Clifford group since the stabilizer
formalism cannot be applied in this case. Herein, we study
quantum circuits of T -depth one on the computational basis.
We show that the output state of a T -depth one circuit can
be represented by a stabilizer pseudomixture with a specific
algebraic structure. Using Pauli and Bell measurements on copies
of the output states, we can generate a hypothesis circuit that is
equivalent to the unknown target circuit on computational basis
states as input. If the number of T gates of the target is of
the order O(log n), our algorithm requires O(n2) queries to it
and produces its equivalent circuit representation on the computational basis in time O(n3). Using further additional O(43n)
classical computations, we can derive an exact description of the
target for arbitrary input states. Our results greatly extend the
previously known facts that stabilizer states can be efficiently
identified based on the stabilizer formalism.
Index Terms: Stabilizer formalism | Clifford circuits | T -depth | stabilizer pseudomixture. |
مقاله انگلیسی |
19 |
PortiK: A computer vision based solution for real-time automatic solid waste characterization – Application to an aluminium stream
PortiK: یک راه حل مبتنی بر بینایی کامپیوتری برای شناسایی خودکار زباله جامد در زمان واقعی - کاربرد در جریان آلومینیوم-2022 In Material Recovery Facilities (MRFs), recyclable municipal solid waste is turned into a precious commodity.
However, effective recycling relies on effective waste sorting, which is still a challenge to sustainable develop-
ment of our society. To help the operations improve and optimise their process, this paper describes PortiK, a
solution for automatic waste analysis. Based on image analysis and object recognition, it allows for continuous,
real-time, non-intrusive measurements of mass composition of waste streams. The end-to-end solution is detailed
with all the steps necessary for the system to operate, from hardware specifications and data collection to su-
pervisory information obtained by deep learning and statistical analysis. The overall system was tested and
validated in an operational environment in a material recovery facility.
PortiK monitored an aluminium can stream to estimate its purity. Aluminium cans were detected with 91.2%
precision and 90.3% recall, respectively, resulting in an underestimation of the number of cans by less than 1%.
Regarding contaminants (i.e. other types of waste), precision and recall were 80.2% and 78.4%, respectively,
giving an 2.2% underestimation. Based on five sample analyses where pieces of waste were counted and weighed
per batch, the detection results were used to estimate purity and its confidence level. The estimation error was
calculated to be within ±7% after 5 minutes of monitoring and ±5% after 8 hours. These results have demon-
strated the feasibility and the relevance of the proposed solution for online quality control of aluminium can
stream. keywords: امکانات بازیابی مواد | شناسایی مواد زائد جامد | یادگیری عمیق | شبکه عصبی عمیق | بینایی کامپیوتر | Material recovery facilities | MRF | Solid waste characterization | Deep-learning | Deep neural network | Computer vision |
مقاله انگلیسی |
20 |
Measurement-Induced Boolean Dynamics for Open Quantum Networks
دینامیک بولی ناشی از اندازه گیری برای شبکه های کوانتومی باز-2022 In this paper, we study the recursion corresponding
to the measurement outcomes for open quantum networks
under sequential measurements. Open quantum networks are
networked quantum subsystems (e.g., qubits) with the state evolutions described by a continuous Lindblad master equation. When
measurements are performed sequentially along such continuous
dynamics, the quantum network states undergo probabilistic
jumps and the corresponding measurement outcomes can be
described by a vector of probabilistic Boolean variables. The
induced recursion of the Boolean vectors forms a probabilistic
Boolean network. First of all, we show that the state transition
of the induced Boolean network can be explicitly represented
through a real version of the master equation. Next, when the
open quantum dynamics are relaxing in the sense that they
possess a unique equilibrium as a global attractor, structural
properties including absorbing states, reducibility, and periodicity for the induced Boolean network are direct consequences
of this relaxing property. Particularly, we show that generically,
relaxing quantum dynamics lead to irreducible and aperiodic
chains for the measurement outcomes. Finally, we show that for
quantum consensus networks which are a type of non-relaxing
open quantum network dynamics, the communication classes of
the measurement-induced Boolean networks are encoded in the
quantum Laplacian of the underlying interaction graph.
Index Terms: quantum networks | open quantum systems | quantum measurements | Boolean networks |
مقاله انگلیسی |