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Image Super-Resolution Reconstruction Model Based on Multi-Feature Fusion 基于多特征融合的图像超级分辨率重建模型
Q4 Engineering Pub Date : 2024-01-23 DOI: 10.1142/s0129156424400032
Zemiao Dai
Due to the limitations of imaging equipment and image transmission conditions on daily image acquisition, the images acquired are usually low-resolution images, and it will cost a lot of time and economic costs to increase image resolution by upgrading hardware equipment. In this paper, we propose an image super-resolution reconstruction algorithm based on spatio-temporal-dependent residual network MSRN, which fuses multiple features. The algorithm uses the surface feature extraction module to extract the input features of the image, and then uses the deep residual aggregation module to adaptively learn the deep features, and then fuses multiple features and learns the global residual. Finally, the high-resolution image is obtained through the up-sampling module and the reconstruction module. In the model structure, different convolution kernels and jump connections are used to extract more high-frequency information, and spatio-temporal attention mechanism is introduced to focus on more image details. The experimental results show that compared with SRGAN, VDSR and Laplacian Pyramid SRN, the proposed algorithm finally achieves better reconstruction effect, and the image texture details are clearer under different scaling factors. In objective evaluation, the peak signal-to-noise ratio (PSNR) and structure similarity (SSIM) of the proposed algorithm are improved compared with SRGAN.
由于日常图像采集受成像设备和图像传输条件的限制,采集到的图像通常都是低分辨率图像,通过升级硬件设备来提高图像分辨率将耗费大量的时间和经济成本。本文提出了一种基于时空相关残差网络 MSRN 的图像超分辨率重建算法,该算法融合了多种特征。该算法利用表面特征提取模块提取图像的输入特征,然后利用深度残差聚合模块自适应学习深度特征,再融合多个特征并学习全局残差。最后,通过上采样模块和重构模块得到高分辨率图像。在模型结构上,使用不同的卷积核和跳转连接来提取更多的高频信息,并引入时空注意力机制来关注更多的图像细节。实验结果表明,与 SRGAN、VDSR 和 Laplacian Pyramid SRN 相比,所提出的算法最终达到了更好的重建效果,在不同的缩放因子下,图像纹理细节更加清晰。在客观评价方面,与 SRGAN 相比,所提算法的峰值信噪比(PSNR)和结构相似度(SSIM)都有所提高。
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引用次数: 0
Data-Driven Detection of Video Forgery for Secured Microcontrollers: Dataset and Method 数据驱动的安全微控制器视频伪造检测:数据集和方法
Q4 Engineering Pub Date : 2024-01-23 DOI: 10.1142/s0129156424400044
Ran Li, Juan Dai
The microcontrollers in a camera often capture videos at a low frame rate due to limited processing capability. To satisfy the requirement of high quality of service, low-frame-rate videos are often forged as the high-frame-rate ones by the Frame Rate Up-Conversion (FRUC) operation. Therefore, detecting the existence of FRUC has become a necessary job for secured microcontrollers. In this paper, we propose a data-driven detection to identify whether a video is forged by FRUC. The core of detection is the creation of a large-scale video dataset VifFRUC (Videos forged by FRUC). Various types of forged videos can continue to be added into VifFRUC, making the detection more universal and robust. To match with VifFRUC, we have also designed a neural network, which trains a number of Long Short Term Memory (LSTM) units in parallel to learn the data-driven detection. The parallel LSTM structure of network can continually adapt to the newly added FRUC methods in VifFRUC. Extensive experiments on VifFRUC demonstrate the effectiveness of data-driven detection for FRUC, resulting in the security improvement of microcontrollers.
由于处理能力有限,摄像机中的微控制器通常以较低的帧速率捕获视频。为了满足高质量服务的要求,低帧频视频往往会通过帧频上变频(FRUC)操作伪造成高帧频视频。因此,检测 FRUC 的存在已成为安全微控制器的一项必要工作。在本文中,我们提出了一种数据驱动的检测方法,以识别视频是否由 FRUC 伪造。检测的核心是创建一个大规模视频数据集 VifFRUC(由 FRUC 伪造的视频)。各种类型的伪造视频可以继续添加到 VifFRUC 中,从而使检测更具通用性和鲁棒性。为了与 VifFRUC 相匹配,我们还设计了一个神经网络,通过并行训练多个长短期记忆(LSTM)单元来学习数据驱动检测。网络的并行 LSTM 结构可以不断适应 VifFRUC 中新增的 FRUC 方法。在 VifFRUC 上进行的大量实验证明了数据驱动检测对 FRUC 的有效性,从而提高了微控制器的安全性。
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引用次数: 0
Design of Low Power Analog/RF Signal Processing Circuits Using 22 nm Silicon-on-Insulator Schottky Barrier Nano-Wire MOSFET 使用 22 纳米硅绝缘体肖特基势垒纳米线 MOSFET 设计低功耗模拟/射频信号处理电路
Q4 Engineering Pub Date : 2024-01-23 DOI: 10.1142/s0129156424500034
Jitender Kumar, A. N. Mahajan, S. Deswal, Amit Saxena, R. S. Gupta
The gate-all-around (GAA) silicon-on-insulator (SOI) Schottky barrier (SB) nano-wire (NW) MOSFET was recently proposed for low-power and high-frequency analog and radio frequency (RF) circuits. But their use in low-power and high-frequency analog/RF circuits is still under investigation. In this work, basic analog signal processing circuits using gate-all-around SOI-SB-NW MOSFETs are designed for low-power and high-frequency applications. These basic and necessary analog processing circuits are designed for ± 0.3 V and ± 0.25 V power supplies to work on frequencies up to 10 GHz. The analog/RF characteristics of the GAA SOI-SB MOSFET are compared with those of the GAA SB NW MOSFET. The SOI-SB NW MOSFET shows improvements in early voltage, output resistance, and transconductance generation factor. The Silvaco TCAD simulator is used to obtain the results and perform numerical simulations. Simulation results show good analog/RF performance of the analog processing circuits.
最近提出的全栅极(GAA)硅绝缘体(SOI)肖特基势垒(SB)纳米线(NW)MOSFET 可用于低功耗、高频模拟和射频(RF)电路。但它们在低功耗和高频模拟/射频电路中的应用仍在研究之中。在这项工作中,设计了使用全栅极 SOI-SB-NW MOSFET 的基本模拟信号处理电路,用于低功耗和高频应用。这些基本和必要的模拟处理电路设计用于 ± 0.3 V 和 ± 0.25 V 电源,工作频率高达 10 GHz。GAA SOI-SB MOSFET 的模拟/射频特性与 GAA SB NW MOSFET 的特性进行了比较。SOI-SB NW MOSFET 在早期电压、输出电阻和跨导生成因子方面均有改进。我们使用 Silvaco TCAD 仿真器获取结果并进行数值模拟。仿真结果显示模拟处理电路具有良好的模拟/射频性能。
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引用次数: 0
A Hybrid Optimization-Based Artificial Neural Network Model for Wireless Power Transfer in Electric Vehicles 基于优化的混合人工神经网络模型用于电动汽车的无线电力传输
Q4 Engineering Pub Date : 2023-12-09 DOI: 10.1142/s0129156424500022
Pranjal Jog, R. K. Kumawat
Electric Vehicles (EVs) are powered by a battery mounted in the vehicle, which powers the motor and drives the wheels. Most commercial EVs can be charged by plugging them into a charging station. Such conductive recharging has various drawbacks, including physical plugging of the cable, safety concerns, and charging time. Manually charging EVs might be dangerous due to the chance of an electric spark or disaster. Advances in Wireless Power Transfer (WPT) demonstrate the capacity to transfer significant amounts of electricity over short and medium-range distances. The ultimate purpose of this paper is to improve the efficacy of electric car wireless charging systems. Here, a hybrid optimization-based Artificial Neural Network (ANN) model is applied to improve the efficacy of the WPT model in EVs. To optimize the weights of the ANN classifier, a hybrid approach termed as Grasshopper-Assisted Elephant Herd Optimization (GA-EHO) method is proposed. The GA-EHO is derived through the hybridization of Elephant Herd Optimization (EHO) Algorithm and the Grasshopper Optimization Algorithm (GOA) techniques. Finally, the experimental study reveals that at 70% learning rate, the proposed ANN system achieves a minimal MSE value of 0.0528, which is lower than other current classifiers, such as SVM, LSTM, and CNN.
电动汽车(EV)由安装在车内的电池提供动力,电池为电机提供动力并驱动车轮。大多数商用电动汽车可以通过插入充电站进行充电。这种传导式充电方式有各种缺点,包括电缆的物理插入、安全问题和充电时间。由于可能产生电火花或灾难,手动为电动汽车充电可能很危险。无线电力传输(WPT)技术的进步证明了在中短距离内传输大量电力的能力。本文的最终目的是提高电动汽车无线充电系统的效率。本文采用基于混合优化的人工神经网络(ANN)模型来提高电动汽车 WPT 模型的功效。为了优化 ANN 分类器的权重,本文提出了一种称为 "蚱蜢辅助象群优化(GA-EHO)"的混合方法。GA-EHO 是通过象群优化算法(EHO)和草蜢优化算法(GOA)技术的混合而产生的。最后,实验研究表明,在学习率为 70% 的情况下,所提出的 ANN 系统的最小 MSE 值为 0.0528,低于 SVM、LSTM 和 CNN 等其他现有分类器。
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引用次数: 0
Ultra-Short Pulse-Train Generation of 30-GHz Repetition Rate Using Rational Harmonic Mode Locking and Nonlinear Polarization Rotation 利用有理谐波锁模和非线性极化旋转产生重复频率为30GHz的超短脉冲串
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500246
A. F. M. Moshiur Rahman, S. Fan, N. Dutta
A 30-GHz pulse-train is generated using the rational harmonic mode-locking technique, experimentally, using a Mach–Zehnder Lithium Niobate modulator. The width of the pulses is then reduced from 5.8-ps to 1.9-ps by incorporating nonlinear polarization rotation. This phenomenon arises due to the very high nonlinear behavior of the photonic crystal fiber (PCF) added to the ring laser cavity. Numerically solving the Generalized Nonlinear Schrödinger Equation provided insights into the pulse evolution behavior. The relative polarization angle and length of the PCF were varied to study their effects on the pulse-width.
30 GHz脉冲串是使用有理谐波锁模技术产生的,实验上使用马赫-曾德尔铌酸锂调制器。然后通过结合非线性偏振旋转将脉冲的宽度从5.8-ps减小到1.9-ps。这种现象是由于添加到环形激光腔中的光子晶体光纤(PCF)的非常高的非线性行为而产生的。对广义非线性薛定谔方程的数值求解为脉冲演化行为提供了见解。改变PCF的相对偏振角和长度,以研究它们对脉冲宽度的影响。
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引用次数: 0
Hybrid Mode-Locked Fiber Ring Laser Using Graphene Saturable Absorbers to Generate 20 and 50-GHz Pulse Trains 使用石墨烯可饱和吸收材料产生20和50GHz脉冲串的混合锁模光纤环形激光器
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500106
A. Rahman, S. Fan, N. Dutta
Optical pulses at high repetition rates are generated using rational harmonic mode locking and saturable absorber made of graphene nanoparticles in a fiber laser. The pulse generation from the fiber laser is modeled by solving the Generalized Nonlinear Schrodinger Equation. The computation involved varying the various saturable absorption parameters, such as linear and nonlinear absorption coefficients. Experimentally stable pulse trains at 20 GHz and 50 GHz are generated with a pulse width of ∼ 2.7 ps. This result agrees with the simulation.
在光纤激光器中使用由石墨烯纳米颗粒制成的合理谐波锁模和可饱和吸收体来产生高重复率的光脉冲。通过求解广义非线性薛定谔方程,对光纤激光器产生的脉冲进行了建模。计算包括改变各种可饱和吸收参数,例如线性和非线性吸收系数。在20 GHz和50 GHz下产生了实验稳定的脉冲串,脉冲宽度为~2.7 ps。这一结果与模拟结果一致。
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引用次数: 0
Heating Effects on Nanofabricated Plasmonic Dimers with Interconnects 纳米互连等离子体二聚体的加热效应
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500040
R. Raman, J. Grasso, B. Willis
Plasmonic nanostructures with electrical connections have potential applications as new electro-optic devices due to their strong light–matter interactions. Plasmonic dimers with nanogaps between adjacent nanostructures are especially good at enhancing local electromagnetic (EM) fields at resonance for improved performance. In this study, we use optical extinction measurements and high-resolution electron microscopy imaging to investigate the thermal stability of electrically interconnected plasmonic dimers and their optical and morphological properties. Experimental measurements and finite difference time domain (FDTD) simulations are combined to characterize temperature effects on the plasmonic properties of large arrays of Au nanostructures on glass substrates. Experiments show continuous blue shifts of extinction peaks for heating up to 210°C. Microscopy measurements reveal these peak shifts are due to morphological changes that shrink nanorods and increase nanogap distances. Simulations of the nanostructures before and after heating find good agreement with experiments. Results show that plasmonic properties are maintained after thermal processing, but peak shifts need to be considered for device design.
具有电连接的等离子体纳米结构由于其强烈的光-物质相互作用而具有作为新型电光器件的潜在应用。在相邻纳米结构之间存在纳米间隙的等离子体二聚体在共振时能够增强局部电磁场,从而提高性能。在这项研究中,我们使用光学消光测量和高分辨率电子显微镜成像来研究电互连等离子体二聚体的热稳定性及其光学和形态学性质。实验测量和时域有限差分(FDTD)模拟相结合,表征了温度对玻璃基板上大型金纳米结构阵列等离子体特性的影响。实验表明,当加热到210°C时,消光峰出现连续的蓝移。显微镜测量显示,这些峰移是由于纳米棒收缩和纳米间隙距离增加的形态变化。加热前后纳米结构的模拟结果与实验结果吻合较好。结果表明,热处理后的等离子体特性保持不变,但器件设计时需要考虑峰移。
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引用次数: 1
Threshold Inverter Quantizer (TIQ)-Based 2-Bit Comparator Using Spatial Wavefunction Switched (SWS) FET Inverters 基于阈值反相器量化器(TIQ)的空间波函数开关FET反相器2位比较器
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500258
W. Alamoudi, B. Saman, R. Gudlavalleti, A. Almalki, J. Chandy, E. Heller, F. Jain
A Threshold Inverter Quantizer (TIQ)-based voltage comparator is used to quantize analog input signal in flash ADC designs. This quantizer is based on the systematic sizing of CMOS inverter thus eliminating resistor array which is used for conventional comparator array. Such an implementation removes static power during quantization of analog input signal. This paper presents a simulation of TIQ 2-bit-based comparator using spatial wavefunction switched (SWS) field effect transistor (FET)-based CMOS inverters. The inverters use 4-state SWSFETs. Unlike conventional FETs, SWSFETs consist of two or more vertical coupled arrays of either quantum dot or quantum well channels, where the spatial location of carriers within these channels is used to encode the logic states (00), (01), (10), and (11). The TIQ-based comparator circuit presented here is based on the 2-bit SWS-CMOS inverter. The schematic of the ADC comparator circuit is demonstrated as well as the 2-bit ADC configuration cascading two 2-bit SWSFET-based inverters in CMOS-X. The circuit simulation was done in Cadence and SWSFET was modeled by integrating Berkeley Short-Channel IGFET Model (BSIM) and the Analog Behavioral Model (ABM). The 2-bit comparator circuit provides a four-state logic output voltage for any given analog input signal.
在flash ADC设计中,采用基于阈值逆变量化器(TIQ)的电压比较器对模拟输入信号进行量化。该量化器基于CMOS逆变器的系统尺寸,从而消除了传统比较器阵列所使用的电阻阵列。这样的实现消除了模拟输入信号量化期间的静态功率。本文利用空间波函数开关(SWS)场效应晶体管(FET) CMOS逆变器对TIQ 2位比较器进行了仿真。逆变器使用4态swsfet。与传统的场效应管不同,swsfet由两个或多个量子点或量子阱通道的垂直耦合阵列组成,其中这些通道内载流子的空间位置用于编码逻辑状态(00)、(01)、(10)和(11)。本文提出的tiq比较器电路是基于2位SWS-CMOS逆变器。演示了ADC比较器电路的原理图以及在CMOS-X中级联两个2位swsfet逆变器的2位ADC配置。采用Cadence软件对电路进行仿真,并结合Berkeley短通道IGFET模型(BSIM)和模拟行为模型(ABM)对swfet进行建模。2位比较器电路为任何给定的模拟输入信号提供四态逻辑输出电压。
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引用次数: 0
Filtration Methods for Microplastic Removal in Wastewater Streams — A Review 去除废水流中微塑料的过滤方法综述
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500192
U. Salahuddin, J. Sun, Chun Jiang Zhu, P. Gao
Microplastics are commonly recognized as environmental and biotic contaminants. The prevalent presence of microplastics in aquatic settings raises concerns about plastic pollution. Therefore, it is critical to develop methods that can eliminate these microplastics with low cost and high effectiveness. This review concisely provides an overview of various methods and technologies for removing microplastics from wastewater and marine environments. Dynamic membranes and membrane bioreactors are effective in removing microplastics from wastewater. Chemical methods such as coagulation and sedimentation, electrocoagulation, and sol-gel reactions can also be used for microplastic removal. Biological methods such as the use of microorganisms and fungi are also effective for microplastic degradation. Advanced filtration technologies like a combination of membrane bioreactor and activated sludge method show high microplastic removal efficiency.
微塑料通常被认为是环境和生物污染物。水生环境中普遍存在的微塑料引发了人们对塑料污染的担忧。因此,开发能够以低成本和高效率消除这些微塑料的方法至关重要。这篇综述简要介绍了从废水和海洋环境中去除微塑料的各种方法和技术。动态膜和膜生物反应器可有效去除废水中的微塑料。化学方法,如混凝沉淀、电凝和溶胶-凝胶反应也可用于去除微塑料。使用微生物和真菌等生物方法也能有效降解微塑料。先进的过滤技术,如膜生物反应器和活性污泥法相结合,显示出高的微塑料去除效率。
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引用次数: 0
Propagation Delay and Power Dissipation Analysis for a 2-Bit SRAM Using Multi-State SWS Inverter 基于多态SWS逆变器的2位SRAM传输延迟和功耗分析
Q4 Engineering Pub Date : 2023-07-20 DOI: 10.1142/s0129156423500234
A. Husawi, R. Gudlavalleti, B. Saman, A. Almalki, J. Chandy, E. Heller, F. Jain
This paper presents a study on the propagation delay and power dissipation of a 2-bit static random-access memory (SRAM) with two cross-coupled multi-state spatial wave function switching (SWS) CMOS inverters. The proposed SRAM design utilizes the advantages of the CMOS-SWS inverter, such as its small area, low power consumption, and high speed. The 2-bit SRAM circuit simulations were carried out in Cadence to analyze the power dissipation and propagation delay. An Analog Behavioral Model (ABM) and the Berkeley Short-channel IGFET Model (BSIM4.6) in 0.18-μm technology were combined to create this model. The analysis of the propagation delay shows that the multi-state CMOS-SWS SRAM significantly reduces the delay compared to other multi-state 6T SRAM memories. Additionally, the analysis of the power dissipation shows that the multi-state SWS-SRAM is comparable to conventional SRAMs. These results demonstrate the potential of multi-state SWS-SRAM for improving the performance of memory circuits and provide valuable insights for future design optimization.
本文研究了具有两个交叉耦合多态空间波函数开关(SWS) CMOS逆变器的2位静态随机存取存储器(SRAM)的传输延迟和功耗。所提出的SRAM设计利用了CMOS-SWS逆变器的优点,如小面积、低功耗和高速度。在Cadence中对2位SRAM电路进行了仿真,分析了其功耗和传播延迟。将模拟行为模型(ABM)和0.18 μm工艺的Berkeley短通道IGFET模型(BSIM4.6)相结合,建立了该模型。对传输延迟的分析表明,与其他多态6T SRAM相比,多态CMOS-SWS SRAM显著降低了传输延迟。此外,功耗分析表明,多状态SWS-SRAM与传统sram相当。这些结果证明了多态SWS-SRAM在提高存储电路性能方面的潜力,并为未来的设计优化提供了有价值的见解。
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引用次数: 0
期刊
International Journal of High Speed Electronics and Systems
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