Aiming at the complex changes of the working rollers and rolled pieces in the rolling process of a cold rolling mill, this paper built a finite element model of the working rollers and rolled pieces based on ANSYS, an...
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Based on SMIC 0.18um CMOS process model, the operation amplifier designed in the thesis is simulated in the simulation software Cadence. In the regular environment, it has DC gain of 107dB, unity gain bandwidth of 57....
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To improve the quality of threshing and re-drying production, a method fused by random forest and orthogonal experiment scheme are presented to optimal the process parameters. Random forest performed regression modell...
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The process of achieving appropriate routing is a major crisis in network modeling where Mobile ad-hoc Networks (MANETs) possess an adversarial network because of the lack in appropriate infrastructure, transmission n...
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A HV energy harvesting circuit with ACC/CV mode and MPPT control is proposed for a 20 V/5 W solar panel. By considering the CC/CV charging process of the Liion battery and the changing maximum power point of the solar...
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In the process of acquisition, compression, transmission and storage, digital images are often interfered by imaging equipment and the external environment, resulting in image distortion. Image denoising aims to truly...
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ISBN:
(纸本)9781665407656
In the process of acquisition, compression, transmission and storage, digital images are often interfered by imaging equipment and the external environment, resulting in image distortion. Image denoising aims to truly reconstruct the image from the observation data contaminated by noise to provide more accurate and reliable information for the subsequent processing of the image. Therefore, image noise reduction is the most basic and most important link in the field of image processing research. In the past decade or so, the application of theories and methods of partial differential equations (PDEs) in various fields of image processing has attracted more and more attention. This article researches and analyzes the image processing methods based on partial differential equations. First, it introduces the research background of this article, the development history, principles of partial differential equations and the status quo of image processing; then, it summarizes and analyzes the application of partial differential equations to images Classical model of denoising. Through the analysis of the classic model, it can be known that the image noise reduction algorithm based on partial differential equations can be based on the structural characteristics of the image. This method adopts a corresponding smoothing strategy, and it can achieve satisfactory image denoising effects.
This paper mainly discusses the application of virtual reality technology in home design. Through virtual reality technology, we can have more realistic experience and switch freely in each space, so that customers ca...
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Automatic handwritten recognition is a simulation of the human reading process by converting a handwritten input to an editable typed form. A successful deployment of such a system requires a robust character handwrit...
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Automatic handwritten recognition is a simulation of the human reading process by converting a handwritten input to an editable typed form. A successful deployment of such a system requires a robust character handwritten recognition module. Research papers conducted on the Arabic language are scarce compared to other languages due to the complexity and cursive nature of the Arabic language where characters are written in a conjoined and owing manner. We propose two deep learning models based on a Convolutional Neural Network (CNN) to classify Arabic handwritten characters using two publicly available datasets AIA9K and AHCD. Pre-processing and data augmentation have been successfully utilized to improve performance. We employed an Arabic word segmentation algorithm to disassemble a word into its letters, which makes the input to the classification system. The experimental results demonstrate solid performance with an average accuracy of 96.72% and 98.21% on AIA9k and AHCD datasets, respectively. The performance is boosted to 97.54% and 98.82%, with data augmentation on the respective datasets. Furthermore, the two augmented datasets were merged to build a generalized model that achieved outstanding accuracy of 98.27% using a modified approach of LeNet-5.
The integrity of the solder joint is critical to ensure long-term reliability of power-LEDs under harsh environmental conditions. Many studies have focused on prediction of the lifetime for different lead-free solder ...
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ISBN:
(纸本)9781665413732;9781665413749
The integrity of the solder joint is critical to ensure long-term reliability of power-LEDs under harsh environmental conditions. Many studies have focused on prediction of the lifetime for different lead-free solder joints in temperature cycling tests especially Ball Grid Arrays (BGA), flip chip, SMD, etc [1]. However, physics-of-failure (PoF) based solder fatigue modelling is an on-going struggle for microelectronics and microsystems industry since it heavily depends on the geometry of the solder solder (i.e. package type and therefore, correct implementation of the thermo-mechanical response) and, precise knowledge of valid process dependent material properties, above all for the solder material. Further, a comparison of lifetime data between different package types depends on a stringent definition of a suitable failure criterion and evaluation of the local failure parameter. This makes it challenging to establish a reliable and universal lifetime model for a specific solder material across package types. In LEDs L2 bonding by solder attach, due to thermal management requirements the use of Insulated Material Substrates (IMS) is compulsory. The combination of Metal-Core-PCB boards and the ceramic substrate in LEDs introduces a complexity factor caused by the large E-modulus and CTE mismatch which must be *** this paper, a model is developed to predict the lifetime of SAC305 solder joint in a LED on board setup using accelerated tests and finite element modelling where crack length is the failure criterion and the accumulated creep strain is the computational failure parameter to quantify damage. Moreover, influence of geometrical factors on reliability of LED is investigated. Moreover, it was observed that process uncertainties such as void could largely impact the lifetime which leads us to dive further in robustness evaluation within a physics of failure reliability paradigm.
The article is devoted to mathematical modeling of gas exchange processes. The features of modeling gas exchange processes based on gas dynamics equations are shown. The parameters of the gas flow are calculated by th...
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The article is devoted to mathematical modeling of gas exchange processes. The features of modeling gas exchange processes based on gas dynamics equations are shown. The parameters of the gas flow are calculated by three conservation laws obtained by applying the general laws of physics to the elementary mass released in the flow, followed by a transition to the limit when the volume occupied by this mass tends to zero: momentum, mass, and energy. A mathematical model of the working process in the engine cylinder is created by the necessary conditions for calculating the entire gas exchange. Using a computer allows for a more accurate and complete description of all the main features. In the foreground is not the complexity and volume of calculations, but the accuracy of approximating the processes of fresh charge entering the engine cylinders, the air flow in the intake tract, the possibility of a comprehensive study of the effect on the filling process of each of the parameters of the intake tract design and gas distribution, and the features of the engine operation mode under study. Filling dynamic phenomena in the intake system has the main goal of optimizing engine design parameters.
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