نشریه صنایع الکترونیک
سال سیزدهم شماره 2 (پیاپی 50، تابستان 1401)

Vibratory gyroscopes with hemispherical resonators are among the new electromechanical gyroscopes that have advantage of bias stability and insensitive to external environmental perturbations like vibrations, accelerations and shocks.Due to the dynamic model, symmetrical structure and high quality coefficient of the oscillator, one of the challenges of vibrating gyroscopes with symmetrical oscillator is the limitation of the dynamic opening of the input frequency. In this paper, by limiting the design of the filter, the dynamic opening limitation of the input frequency is removed by an innovative method. Then, by processing the output signal of the filter, a model for measuring the rotational speed is designed. This design shows the effect of the bottom receiving filter on the size line. By designing the filter, the dynamic range of the input frequency in the gyroscope has been increased from 3 to 100 Hz. With the proper design of the lower filter, the accuracy of the rotation speed measurement line increases to 0.05%.

The drift phenomenon is manifested as instability in the operating point of the H+-sensitive (pH-sensitive) ion-selective field effect transistor as well as that of the organic light-emitting diode. Specifically, in the pH-sensitive ion-selective field effect transistor, drift is observed as a slow temporal and unidirectional change in the threshold voltage, and hence, the dc bias current of the device. In the organic light-emitting diode, on the other hand, drift is detected as a decrease in luminance with time. The operating point drift in both devices has been modeled based on a diffusion mechanism, known as dispersive diffusion, which involves hopping between trap energy states. Notably, the similarity between the time dependence of drift in these devices is due to the characteristic temporal behavior of the dispersive diffusion coefficient, which obeys a power law characterized by a time dependence of the form 〖(t)〗^(β-1), where β is the dispersion parameter, which satisfies 0<β<1.

In this paper, we have presented a compact ultra-fast photonic crystal-based half adder with optimized parameters. The design is proposed according to a linear structure that includes combines and improves AND and XOR PhC-based logic gates. We have situated the Si rod at the cross-connect point of the input waveguides and then determined the optimum radius for a high ON/OFF ratio. By optimizing structural parameters, we have achieved the high value of the ON/OFF ratio with the amounts of 12.36 dB and 6.17 dB for outputs of carry and sum, respectively. Also, the response time has been reduced to 0.22 ps which is very low compared with other structures. This device with a compact size of 190 µm2 can be used as a key element for designing all-optical integrated circuits in the future. We use plane wave expansion (PWE) and finite difference time domain (FDTD) methods to simulate the design.

 In this paper, we apply a filtering scheme to encode motional information from style of human walking into single template. This filtering process utilizes bio-inspired basis kernels which are constructed from two separable spatial and temporal basis functions. To extract opponent motions from gait in a walking cycle, wefusethese kernels together to have spatiotemporal kernels and thenconvolve itwith gait stancesThis paradigm has been repeatedineach frame of gait in a cycle and motional information is highlighted as salient regions inthe sequence of images. To make gait features (salient regions)distinctive enough within different individuals, the responses of gait filtering are aggregated together to get final Gait Salient Image (GSI). Our proposed model provides more representative gait feature since conventional gait templates such as Gait Energy Image (GEI) does not rely on any motion model. Extensive experiments on popular gait databases reveal that, our GSI-based features provides more competitive performance compared with recent published gait recognition approaches with efficiency and accuracy

This article offers a novel approach to separate luminance and chrominance information that leads to better results in image denoising. Unlike usual methods, the luminance -chrominance channels created in this approach are not fixed channels that fit the dimensions of the original image but are three-dimensional arrays that are made up of groups of similar blocks in a local neighborhood. luminance -chrominance information of each group were extracted in all three RGB channels using PCA. In fact, using the PCA converter makes it possible to transfer similar parts to the luminance -chrominance space with coefficients specific to those areas, instead of transferring the entire image to the luminance -chrominance space with fixed and predetermined coefficients and then these channels participate in denoising operation directly. Image denoising in this approach, like the BM3D method, is based on two stages of initial and final reconstruction. So image denoising will be done by applying 3D wavelet transform and hard thresholding in the first stage and applying Wiener filter in the final stage. The innovation of this approach removes noise effectively. Moreover, it can improve the perception of luminance and chrominance information. Experimental results show that the proposed method can achive better performance compared to other methods such that the proposed technique improves the results by about 1dB in a low-noise situation and 3dB in a high-noise situation.

The use of cloud computing to meet the needs of the Internet of Things (IoT) has created a cloud computing technology. Today, fog-computing environments are a good platform for cyber physical system networks. However, fog calculations also suffer from significant challenges. One of these challenges is achieving energy efficiency and meeting green energy standards. The realization of the green energy framework in this technology ensures that this new technology is environmentally friendly and makes data transfers feasible with less energy consumption and less carbon dioxide emissions. Therefore, in this article, while studying the existing methods, by presenting a new optimal architecture and applying it to the existing methods; we will present a new method to reduce energy consumption in fog networks. The new method, which is based on proper linear programming, is called Optimal Power-Rate Routing Solution (OPRRS) and minimizes energy consumption in data transmission path and processing units. Computer examples show that the new method reduces energy consumption in cyber physical systems compared to previous methods.