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Journal articles on the topic 'Metal oxide semiconductors, complementary Algorithms'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Saggese, Gerardo, Mattia Tambaro, Elia A. Vallicelli, et al. "Comparison of Sneo-Based Neural Spike Detection Algorithms for Implantable Multi-Transistor Array Biosensors." Electronics 10, no. 4 (2021): 410. http://dx.doi.org/10.3390/electronics10040410.

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Real-time neural spike detection is an important step in understanding neurological activities and developing brain-silicon interfaces. Recent approaches exploit minimally invasive sensing techniques based on implanted complementary metal-oxide semiconductors (CMOS) multi transistors arrays (MTAs) that limit the damage of the neural tissue and provide high spatial resolution. Unfortunately, MTAs result in low signal-to-noise ratios due to the weak capacitive coupling between the nearby neurons and the sensor and the high noise power coming from the analog front-end. In this paper we investigat

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Moses, C. John, D. Selvathi, and V. M. Anne Sophia. "VLSI Architectures for Image Interpolation: A Survey." VLSI Design 2014 (May 19, 2014): 1–10. http://dx.doi.org/10.1155/2014/872501.

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Image interpolation is a method of estimating the values at unknown points using the known data points. This procedure is used in expanding and contrasting digital images. In this survey, different types of interpolation algorithm and their hardware architecture have been analyzed and compared. They are bilinear, winscale, bi-cubic, linear convolution, extended linear, piecewise linear, adaptive bilinear, first order polynomial, and edge enhanced interpolation architectures. The algorithms are implemented for different types of field programmable gate array (FPGA) and/or by different types of

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Dendouga, Abdelghani, Slimane Oussalah, Damien Thienpont, and Abdenour Lounis. "Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics." Advances in Electrical Engineering 2014 (August 13, 2014): 1–5. http://dx.doi.org/10.1155/2014/374741.

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The design of an interface to a specific sensor induces costs and design time mainly related to the analog part. So to reduce these costs, it should have been standardized like digital electronics. The aim of the present work is the elaboration of a method based on multiobjectives genetic algorithms (MOGAs) to allow automated synthesis of analog and mixed systems. This proposed methodology is used to find the optimal dimensional transistor parameters (length and width) in order to obtain operational amplifier performances for analog and mixed CMOS-(complementary metal oxide semiconductor-) bas

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Lyu, Hong-Kun, Chi-Ho Park, Dong-Hee Han, Seong Kwak, and Byeongdae Choi. "Orchard Free Space and Center Line Estimation Using Naive Bayesian Classifier for Unmanned Ground Self-Driving Vehicle." Symmetry 10, no. 9 (2018): 355. http://dx.doi.org/10.3390/sym10090355.

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In the case of autonomous orchard navigation, researchers have developed algorithms that utilize features, such as trunks, canopies, and sky in orchards, but there are still various difficulties in recognizing free space for autonomous navigation in a changing agricultural environment. In this study, we applied the Naive Bayesian classification to detect the boundary between the trunk and the ground and propose an algorithm to determine the center line of free space. The naïve Bayesian classification requires a small number of samples for training and a simple training process. In addition, it

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Gao, Zhenyi, Bin Zhou, Xiang Li, Lei Yang, Qi Wei, and Rong Zhang. "A Digital-Analog Hybrid System-on-Chip for Capacitive Sensor Measurement and Control." Sensors 21, no. 2 (2021): 431. http://dx.doi.org/10.3390/s21020431.

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Sensors based on capacitance detection are common in the field of inertial measurement and have the potential for miniaturization and low power consumption. In order to control and process such sensors, a novel digital-analog hybrid system-on-chip (SoC) is designed and implemented. The system includes a capacitor to voltage (C/V) conversion circuit and a band-pass sigma-delta modulator (BPSDM) as the analog-to-digital converter (ADC). The digital signal is processed by the dedicated circuit module based on the least mean square error demodulation (LMSD) algorithm on the chip. The low-power Cor

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Zhang, Shaohui, Guocheng Zhou, Ying Wang, Yao Hu, and Qun Hao. "A Simply Equipped Fourier Ptychography Platform Based on an Industrial Camera and Telecentric Objective." Sensors 19, no. 22 (2019): 4913. http://dx.doi.org/10.3390/s19224913.

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Fourier ptychography microscopy (FPM) is a recently emerged computational imaging method, which combines the advantages of synthetic aperture and phase retrieval to achieve super-resolution microscopic imaging. FPM can bypass the diffraction limit of the numerical aperture (NA) system and achieve complex images with wide field of view and high resolution (HR) on the basis of the existing microscopic platform, which has low resolution and wide field of view. Conventional FPM platforms are constructed based on basic microscopic platform and a scientific complementary metal–oxide–semiconductor (s

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7

Gao, Zhenyi, Bin Zhou, Xiang Li, Lei Yang, Qi Wei, and Rong Zhang. "A Digital-Analog Hybrid System-on-Chip for Capacitive Sensor Measurement and Control." Sensors 21, no. 2 (2021): 431. http://dx.doi.org/10.3390/s21020431.

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Sensors based on capacitance detection are common in the field of inertial measurement and have the potential for miniaturization and low power consumption. In order to control and process such sensors, a novel digital-analog hybrid system-on-chip (SoC) is designed and implemented. The system includes a capacitor to voltage (C/V) conversion circuit and a band-pass sigma-delta modulator (BPSDM) as the analog-to-digital converter (ADC). The digital signal is processed by the dedicated circuit module based on the least mean square error demodulation (LMSD) algorithm on the chip. The low-power Cor

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8

Zhang, Yu, Guangyi Wang, and Jiangtao Xu. "Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples." Sensors 18, no. 7 (2018): 2276. http://dx.doi.org/10.3390/s18072276.

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Parameter estimation of Poisson-Gaussian signal-dependent random noise in the complementary metal-oxide semiconductor/charge-coupled device image sensor is a significant step in eliminating noise. The existing estimation algorithms, which are based on finding homogeneous regions, acquire the pair of the variances of noise and the intensities of every homogeneous region to fit the linear or piecewise linear curve and ascertain the noise parameters accordingly. In contrast to the existing algorithms, in this study, the Poisson noise samples of all homogeneous regions in every block image are pie

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Ou, Qiao-Feng, Bang-Shu Xiong, Lei Yu, Jing Wen, Lei Wang, and Yi Tong. "In-Memory Logic Operations and Neuromorphic Computing in Non-Volatile Random Access Memory." Materials 13, no. 16 (2020): 3532. http://dx.doi.org/10.3390/ma13163532.

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Recent progress in the development of artificial intelligence technologies, aided by deep learning algorithms, has led to an unprecedented revolution in neuromorphic circuits, bringing us ever closer to brain-like computers. However, the vast majority of advanced algorithms still have to run on conventional computers. Thus, their capacities are limited by what is known as the von-Neumann bottleneck, where the central processing unit for data computation and the main memory for data storage are separated. Emerging forms of non-volatile random access memory, such as ferroelectric random access m

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Li, Qingyang, Ruofei Zhong, and Ya Wang. "A Method for the Destriping of an Orbita Hyperspectral Image with Adaptive Moment Matching and Unidirectional Total Variation." Remote Sensing 11, no. 18 (2019): 2098. http://dx.doi.org/10.3390/rs11182098.

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The Orbita hyperspectral satellite (OHS) is the first hyperspectral satellite with surface coating technology for sensors in the world. It includes 32 bands from visible to near-infrared wavelengths. However, technology such as the fabricating process of complementary metal–oxide–semiconductor (CMOS) sensors makes the image contain a lot of random and unsystematic stripe noise, which is so bad that it seriously affects visual interpretation, object recognition and the application of the OHS data. Although a large number of stripe removal algorithms have been proposed, very few of them take int

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Saxena, Vishal, Xinyu Wu, Ira Srivastava, and Kehan Zhu. "Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency." Journal of Low Power Electronics and Applications 8, no. 4 (2018): 34. http://dx.doi.org/10.3390/jlpea8040034.

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The ongoing revolution in Deep Learning is redefining the nature of computing that is driven by the increasing amount of pattern classification and cognitive tasks. Specialized digital hardware for deep learning still holds its predominance due to the flexibility offered by the software implementation and maturity of algorithms. However, it is being increasingly desired that cognitive computing occurs at the edge, i.e., on hand-held devices that are energy constrained, which is energy prohibitive when employing digital von Neumann architectures. Recent explorations in digital neuromorphic hard

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12

Abecassis, Úrsula, Davies de Lima Monteiro, Luciana Salles, Carlos de Moraes Cruz, and Pablo Agra Belmonte. "Impact of CMOS Pixel and Electronic Circuitry in the Performance of a Hartmann-Shack Wavefront Sensor." Sensors 18, no. 10 (2018): 3282. http://dx.doi.org/10.3390/s18103282.

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This work presents a numerical simulation of a Hartmann-Shack wavefront sensor (WFS) that assesses the impact of integrated electronic circuitry on the sensor performance, by evaluating a full detection chain encompassing wavefront sampling, photodetection, electronic circuitry and wavefront reconstruction. This platform links dedicated C algorithms for WFS to a SPICE circuit simulator for integrated electronics. The complete codes can be easily replaced in order to represent different detection or reconstruction methods, while the circuit simulator employs reliable models of either off-the-sh

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Bhaduri, Aritra, Amitava Banerjee, Subhrajit Roy, Sougata Kar, and Arindam Basu. "Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis." Neural Computation 30, no. 3 (2018): 723–60. http://dx.doi.org/10.1162/neco_a_01045.

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We present a neuromorphic current mode implementation of a spiking neural classifier with lumped square law dendritic nonlinearity. It has been shown previously in software simulations that such a system with binary synapses can be trained with structural plasticity algorithms to achieve comparable classification accuracy with fewer synaptic resources than conventional algorithms. We show that even in real analog systems with manufacturing imperfections (CV of 23.5% and 14.4% for dendritic branch gains and leaks respectively), this network is able to produce comparable results with fewer synap

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14

Guan, Weipeng, Xinjie Zhang, Yuxiang Wu, Zekun Xie, Jingyi Li, and Jieheng Zheng. "High Precision Indoor Visible Light Positioning Algorithm Based on Double LEDs Using CMOS Image Sensor." Applied Sciences 9, no. 6 (2019): 1238. http://dx.doi.org/10.3390/app9061238.

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Visible Light Positioning (VLP) is widely recognized as a cost-effective solution for indoor positioning with increasing demand. However, the nonlinearity and highly complex relationship between three-dimensional world coordinate and two-dimensional image coordinate hinders the good performance of image-sensor-based VLP. Therefore, there is a need to develop effective VLP algorithms to locate the positioning terminal using image sensor. Besides, due to the high computational cost of image processing, most existing VLP systems do not achieve satisfactory performance in terms of real-time abilit

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Rothberg, Jonathan M., Tyler S. Ralston, Alex G. Rothberg, et al. "Ultrasound-on-chip platform for medical imaging, analysis, and collective intelligence." Proceedings of the National Academy of Sciences 118, no. 27 (2021): e2019339118. http://dx.doi.org/10.1073/pnas.2019339118.

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Over the past half-century, ultrasound imaging has become a key technology for assessing an ever-widening range of medical conditions at all stages of life. Despite ultrasound’s proven value, expensive systems that require domain expertise in image acquisition and interpretation have limited its broad adoption. The proliferation of portable and low-cost ultrasound imaging can improve global health and also enable broad clinical and academic studies with great impact on the fields of medicine. Here, we describe the design of a complete ultrasound-on-chip, the first to be cleared by the Food and

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16

Toriumi, Akira. "0.1μm complementary metal–oxide–semiconductors and beyond". Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 14, № 6 (1996): 4020. http://dx.doi.org/10.1116/1.588635.

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17

Saha, H., and C. Chaudhuri. "Complementary Metal Oxide Semiconductors Microelectromechanical Systems Integration." Defence Science Journal 59, no. 6 (2009): 557–67. http://dx.doi.org/10.14429/dsj.59.1560.

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18

Hu, Changmiao, Yang Bai, and Ping Tang. "DENOISING ALGORITHM FOR THE PIXEL-RESPONSE NON-UNIFORMITY CORRECTION OF A SCIENTIFIC CMOS UNDER LOW LIGHT CONDITIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 17, 2016): 749–53. http://dx.doi.org/10.5194/isprsarchives-xli-b3-749-2016.

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We present a denoising algorithm for the pixel-response non-uniformity correction of a scientific complementary metal–oxide–semiconductor (CMOS) image sensor, which captures images under extremely low-light conditions. By analyzing the integrating sphere experimental data, we present a pixel-by-pixel flat-field denoising algorithm to remove this fixed pattern noise, which occur in low-light conditions and high pixel response readouts. The response of the CMOS image sensor imaging system to the uniform radiance field shows a high level of spatial uniformity after the denoising algorithm has bee

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Hu, Changmiao, Yang Bai, and Ping Tang. "DENOISING ALGORITHM FOR THE PIXEL-RESPONSE NON-UNIFORMITY CORRECTION OF A SCIENTIFIC CMOS UNDER LOW LIGHT CONDITIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 17, 2016): 749–53. http://dx.doi.org/10.5194/isprs-archives-xli-b3-749-2016.

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We present a denoising algorithm for the pixel-response non-uniformity correction of a scientific complementary metal–oxide–semiconductor (CMOS) image sensor, which captures images under extremely low-light conditions. By analyzing the integrating sphere experimental data, we present a pixel-by-pixel flat-field denoising algorithm to remove this fixed pattern noise, which occur in low-light conditions and high pixel response readouts. The response of the CMOS image sensor imaging system to the uniform radiance field shows a high level of spatial uniformity after the denoising algorithm has bee

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20

Shaikh, Aatef, MukeshK Sharma, MS Kulkarni, Jis Romal, Ashutosh Gupta, and Probal Chaudhury. "Development of cluster count algorithm for radiation measurement using complementary metal oxide semiconductor camera." Radiation Protection and Environment 40, no. 3 (2017): 116. http://dx.doi.org/10.4103/rpe.rpe_21_17.

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21

Wickramasinghe, Thushan E., Gregory Jensen, Ruhi Thorat, Miles Lindquist, Shrouq H. Aleithan, and Eric Stinaff. "Complementary growth of 2D transition metal dichalcogenide semiconductors on metal oxide interfaces." Applied Physics Letters 117, no. 21 (2020): 213104. http://dx.doi.org/10.1063/5.0027225.

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Janesick, James. "Lux transfer: Complementary metal oxide semiconductors versus charge-coupled devices." Optical Engineering 41, no. 6 (2002): 1203. http://dx.doi.org/10.1117/1.1476692.

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23

Miranda, Enrique, and Jordi Suñé. "Memristors for Neuromorphic Circuits and Artificial Intelligence Applications." Materials 13, no. 4 (2020): 938. http://dx.doi.org/10.3390/ma13040938.

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Artificial Intelligence has found many applications in the last decade due to increased computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses in the so-called Deep Neural Networks (DNNs). Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. As far as the training is concerned, we can distinguish between supervised and unsupervised learning. The former requires labelled data and is based

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Manjula, S., R. Karthikeyan, S. Karthick, N. Logesh, and M. Logeshkumar. "Optimized Design of Low Power Complementary Metal Oxide Semiconductor Low Noise Amplifier for Zigbee Application." Journal of Computational and Theoretical Nanoscience 18, no. 4 (2021): 1327–30. http://dx.doi.org/10.1166/jctn.2021.9387.

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An optimized high gain low power low noise amplifier (LNA) is presented using 90 nm CMOS process at 2.4 GHz frequency for Zigbee applications. For achieving desired design specifications, the LNA is optimized by particle swarm optimization (PSO). The PSO is successfully implemented for optimizing noise figure (NF) when satisfying all the design specifications such as gain, power dissipation, linearity and stability. PSO algorithm is developed in MATLAB to optimize the LNA parameters. The LNA with optimized parameters is simulated using Advanced Design System (ADS) Simulator. The LNA with optim

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Huang, Shih-Chia, Quoc-Viet Hoang, Trung-Hieu Le, et al. "An Advanced Noise Reduction and Edge Enhancement Algorithm." Sensors 21, no. 16 (2021): 5391. http://dx.doi.org/10.3390/s21165391.

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Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios. Numerous approaches have been developed to solve the problem of image noise removal. However, producing natural and high-quality denoised images remains a crucial challenge. To meet this challenge, we introduce a novel approach for image denoising with the following three main contributions. First, we devise a deep image prior-based module that can produce a noise-reduced image as well as a contrast-enhanced denoised

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Guan, Weipeng, Shangsheng Wen, Lizhao Liu, and Hanlin Zhang. "High-precision indoor positioning algorithm based on visible light communication using complementary metal–oxide–semiconductor image sensor." Optical Engineering 58, no. 02 (2019): 1. http://dx.doi.org/10.1117/1.oe.58.2.024101.

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Masoumi, Massoud, Farshid Raissi, Mahmoud Ahmadian, and Parviz Keshavarzi. "Design and evaluation of basic standard encryption algorithm modules using nanosized complementary metal–oxide–semiconductor–molecular circuits." Nanotechnology 17, no. 1 (2005): 89–99. http://dx.doi.org/10.1088/0957-4484/17/1/015.

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28

Jung, Seungmin. "Image Processor and RISC MCU Embedded Single Chip Fingerprint Sensor." Journal of Sensor and Actuator Networks 9, no. 4 (2020): 51. http://dx.doi.org/10.3390/jsan9040051.

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In this paper, we propose a single chip fingerprint sensor with the algorithm processor and 16-bit MCU. The algorithm processor is a logic circuit that implements the GABOR filter and the THINNING step, which occupies 80% of the fingerprint image processing time. The rest of the algorithm is processed by embedded 16-bit MCU with small circuit volume, so all steps of the algorithm can be processed on the single chip without an external CPU. The capacitive sensing circuit was designed by applying the parasitic-insensitive integrator with the variable clock generator. The function was verified by

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Song, Kai-Tai, and Chen-Chu Chlen. "Visual tracking of a moving person for a home robot." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 219, no. 4 (2005): 259–69. http://dx.doi.org/10.1243/095965105x9597.

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This paper presents a visual tracking system for a home robot to pursue a person. The system works by detecting a human face and tracking a person via controlling a two-degree-of-freedom robot head and the robot body. An image processing system has been developed to extract facial features using a complementary metal-oxide semiconductor (CMOS) web camera. An algorithm is proposed to recognize a human face by using skin colour and elliptical edge information of a human face. A digital signal processing (DSP)-based motor control card is designed and implemented for robot motion control. The visu

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Fang, Yuan, Ningmei Yu, and Yuquan Jiang. "Super-Resolution Lensless Imaging of Cells Using Brownian Motion." Applied Sciences 9, no. 10 (2019): 2080. http://dx.doi.org/10.3390/app9102080.

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The lensless imaging technique, which integrates a microscope into a complementary metal oxide semiconductor (CMOS) digital image sensor, has become increasingly important for the miniaturization of biological microscope and cell detection equipment. However, limited by the pixel size of the CMOS image sensor (CIS), the resolution of a cell image without optical amplification is low. This is also a key defect with the lensless imaging technique, which has been studied by a many scholars. In this manuscript, we propose a method to improve the resolution of the cell images using the Brownian mot

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Tesfaye, T., M. S. Mohammed, and K. Ki-Seong. "Mapping of ultrasonic thickness measurements using laser grid projection and image processing." Insight - Non-Destructive Testing and Condition Monitoring 61, no. 11 (2019): 643–49. http://dx.doi.org/10.1784/insi.2019.61.11.643.

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A three-dimensional surface mapping method for ultrasonic thickness measurements is proposed to enable the dimensions and positions of measured values obtained by the conventional ultrasonic thickness gauges and flaw detectors on curved surfaces to be determined. The proposed system consists of a laser pattern generator and image processing methods. The laser grid produced by the pattern generator is projected onto the surface of the item to be inspected, mathematical relationships are developed to localise the grid nodes on the inspection surface and images are then captured using a complemen

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Lačević, Amela, and Edina Vranić. "Different digital imaging techniques in dental practice." Bosnian Journal of Basic Medical Sciences 4, no. 2 (2004): 37–40. http://dx.doi.org/10.17305/bjbms.2004.3412.

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Different imaging techniques are used to pick up the signal of interest in digital sensors, including charge-coupled devices (CCD), complementary metal-oxide semiconductors (CMOS), photostimulable phosphors plates (PSP) and tuned-aperture computed tomography (TACT) Digital radiography sensors are divided into: storage phosphor plates (SPP) called photostimulable phosphor plates (PSP), silicon devices such as charge-coupled devices (CCD) or complementary metal oxide semiconductors (CMOS).Relatively new type of imaging that may hold advantage over current radiographic modalities is tuned-apertur

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Charbon, E. "Single-photon imaging in complementary metal oxide semiconductor processes." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2012 (2014): 20130100. http://dx.doi.org/10.1098/rsta.2013.0100.

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This paper describes the basics of single-photon counting in complementary metal oxide semiconductors, through single-photon avalanche diodes (SPADs), and the making of miniaturized pixels with photon-counting capability based on SPADs. Some applications, which may take advantage of SPAD image sensors, are outlined, such as fluorescence-based microscopy, three-dimensional time-of-flight imaging and biomedical imaging, to name just a few. The paper focuses on architectures that are best suited to those applications and the trade-offs they generate. In this context, architectures are described t

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Li, Shouping, Jianjun Chen, Bin Liang, and Yang Guo. "Low Power SAR ADC Design with Digital Background Calibration Algorithm." Symmetry 12, no. 11 (2020): 1757. http://dx.doi.org/10.3390/sym12111757.

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This paper proposed a digital background calibration algorithm with positive and negative symmetry error tolerance to remedy the capacitor mismatch for successive approximation register analog-to-digital converters (SAR ADCs). Compensate for the errors caused by capacitor mismatches and improve the ADC performance. Combination with a tri-level switching scheme based on the common-mode voltage Vcm to achieve capacitor reduction and high switching energy efficiency. The proposed calibration algorithm significantly improves capacitor mismatch without resorting to extensive computation or dedicate

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Li, Shouping, Yang Guo, Jianjun Chen, and Bin Liang. "A 12-bit 30 MS/s Successive Approximation-Register Analog-to-Digital Converter with Foreground Digital Calibration Algorithm." Symmetry 12, no. 1 (2020): 165. http://dx.doi.org/10.3390/sym12010165.

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This paper presents a foreground digital calibration algorithm based on a dynamic comparator that aims to reduce comparator offset and capacitor mismatch, as well as improve the performance of the successive approximation analog-to-digital converter (SARADC). The dynamic comparator is designed with two preamplifiers and one latch to facilitate high speed, high precision, and low noise. The foreground digital calibration algorithm provides high speed with minimal area consumption. This design is implemented on a 12-bit 30 MS/s SARADC with a standard 0.13 μm Complementary Metal Oxide Semiconduct

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Shang, Yuanyuan, Yong Guan, Weigong Zhang, Xumin Liu, Shudong Zhang, and Yongxiang Zhang. "A high dynamic range complementary metal-oxide-semiconductor (CMOS) camera using multi-slope response and an image reconstruction algorithm." Measurement Science and Technology 20, no. 10 (2009): 104005. http://dx.doi.org/10.1088/0957-0233/20/10/104005.

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Song, Hang, Afreen Azhari, Xia Xiao, Eiji Suematsu, Hiromasa Watanabe, and Takamaro Kikkawa. "Microwave Imaging Using CMOS Integrated Circuits with Rotating 4 × 4 Antenna Array on a Breast Phantom." International Journal of Antennas and Propagation 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6757048.

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A digital breast cancer detection system using 65 nm technology complementary metal oxide semiconductor (CMOS) integrated circuits with rotating 4 × 4 antenna array is presented. Gaussian monocycle pulses are generated by CMOS logic circuits and transmitted by a 4 × 4 matrix antenna array via two CMOS single-pole-eight-throw (SP8T) switching matrices. Radar signals are received and converted to digital signals by CMOS equivalent time sampling circuits. By rotating the 4 × 4 antenna array, the reference signal is obtained by averaging the waveforms from various positions to extract the breast p

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Garcia-Bosque, Miguel, Guillermo Díez-Señorans, Adrián Pérez-Resa, Carlos Sánchez-Azqueta, Concepción Aldea та Santiago Celma. "A 1 Gbps Chaos-Based Stream Cipher Implemented in 0.18 μm CMOS Technology". Electronics 8, № 6 (2019): 623. http://dx.doi.org/10.3390/electronics8060623.

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In this work, a novel chaos-based stream cipher based on a skew tent map is proposed and implemented in a 0.18 μm CMOS (Complementary Metal-Oxide-Semiconductor) technology. The proposed ciphering algorithm uses a linear feedback shift register that perturbs the orbits generated by the skew tent map after each iteration. This way, the randomness of the generated sequences is considerably improved. The implemented stream cipher was capable of achieving encryption speeds of 1 Gbps by using an approximate area of ~ 20 , 000 2-NAND equivalent gates, with a power consumption of 24.1 mW. To test the

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Castañeda-Aviña, Perla Rubi, Esteban Tlelo-Cuautle, and Luis Gerardo de la Fraga. "Single-Objective Optimization of a CMOS VCO Considering PVT and Monte Carlo Simulations." Mathematical and Computational Applications 25, no. 4 (2020): 76. http://dx.doi.org/10.3390/mca25040076.

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The optimization of analog integrated circuits requires to take into account a number of considerations and trade-offs that are specific to each circuit, meaning that each case of design may be subject to different constraints to accomplish target specifications. This paper shows the single-objective optimization of a complementary metal-oxide-semiconductor (CMOS) four-stage voltage-controlled oscillator (VCO) to maximize the oscillation frequency. The stages are designed by using CMOS current-mode logic or differential pairs and are connected in a ring structure. The optimization is performed

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Hwang, Gwan Beom, Kwon Neung Cho, Chang Yeop Han, Hyun Woo Oh, Young Hyun Yoon, and Seung Eun Lee. "Lossless Decompression Accelerator for Embedded Processor with GUI." Micromachines 12, no. 2 (2021): 145. http://dx.doi.org/10.3390/mi12020145.

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The development of the mobile industry brings about the demand for high-performance embedded systems in order to meet the requirement of user-centered application. Because of the limitation of memory resource, employing compressed data is efficient for an embedded system. However, the workload for data decompression causes an extreme bottleneck to the embedded processor. One of the ways to alleviate the bottleneck is to integrate a hardware accelerator along with the processor, constructing a system-on-chip (SoC) for the embedded system. In this paper, we propose a lossless decompression accel

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Pühringer, Gerald, and Bernhard Jakoby. "Highly Selective CMOS-Compatible Mid-Infrared Thermal Emitter/Detector Slab Design Using Optical Tamm-States." Materials 12, no. 6 (2019): 929. http://dx.doi.org/10.3390/ma12060929.

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In this work, we propose and evaluate a concept for a selective thermal emitter based on Tamm plasmons suitable for monolithic on-chip integration and fabrication by conventional complementary metal oxide semiconductor (CMOS)-compatible processes. The original design of Tamm plasmon structures features a purely one-dimensional array of layers including a Bragg mirror and a metal. The resonant field enhancement next to the metal interface corresponding to optical Tamm states leads to resonant emission at the target wavelength, which depends on the lateral dimensions of the bandgap structure. We

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Ker, Ming-Dou, Hsin-Chyh Hsu, and Jeng-Jie Peng. "Novel Implantation Method to Improve Machine-Model Electrostatic Discharge Robustness of Stacked N-Channel Metal-Oxide Semiconductors (NMOS) in Sub-Quarter-Micron Complementary Metal-Oxide Semiconductors (CMOS) Technology." Japanese Journal of Applied Physics 41, Part 2, No. 11B (2002): L1288—L1290. http://dx.doi.org/10.1143/jjap.41.l1288.

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Ye, Heqing, Hyeok-Jin Kwon, Xiaowu Tang, Dong Yun Lee, Sooji Nam, and Se Hyun Kim. "Direct Patterned Zinc-Tin-Oxide for Solution-Processed Thin-Film Transistors and Complementary Inverter through Electrohydrodynamic Jet Printing." Nanomaterials 10, no. 7 (2020): 1304. http://dx.doi.org/10.3390/nano10071304.

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The solution-processed deposition of metal-oxide semiconducting materials enables the fabrication of large-area and low-cost electronic devices by using printing technologies. Additionally, the simple patterning process of these types of materials become an important issue, as it can simplify the cost and process of fabricating electronics such as thin-film transistors (TFTs). In this study, using the electrohydrodynamic (EHD) jet printing technique, we fabricated directly patterned zinc-tin-oxide (ZTO) semiconductors as the active layers of TFTs. The straight lines of ZTO semiconductors were

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Min, Kim, Song, and Kim. "A G-Fresnel Optical Device and Image Processing Based Miniature Spectrometer for Mechanoluminescence Sensor Applications." Sensors 19, no. 16 (2019): 3528. http://dx.doi.org/10.3390/s19163528.

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This paper presents a miniature spectrometer fabricated based on a G-Fresnel optical device (i.e., diffraction grating and Fresnel lens) and operated by an image-processing algorithm, with an emphasis on the color space conversion in the range of visible light. The miniature spectrometer will be cost-effective and consists of a compact G-Fresnel optical device, which diffuses mixed visible light into the spectral image and a μ-processor platform embedded with an image-processing algorithm. The RGB color space commonly used in the image signal from a complementary metal–oxide–semiconductor (CMO

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Steindl, Bernhard, Reinhard Enne та Horst Zimmermann. "Thick detection zone single-photon avalanche diode fabricated in 0.35 μ m complementary metal-oxide semiconductors". Optical Engineering 54, № 5 (2015): 050503. http://dx.doi.org/10.1117/1.oe.54.5.050503.

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Schmidt, Jan-Uwe. "Amorphous TiAl films for micromirror arrays with stable analog deflection integrated on complementary metal oxide semiconductors." Journal of Micro/Nanolithography, MEMS, and MOEMS 7, no. 2 (2008): 021012. http://dx.doi.org/10.1117/1.2945230.

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Roh, Il Pyo, Sang Hyeon Kim, Yun Heub Song, and Jin Dong Song. "Uniformly strained AlGaSb/InGaSb/AlGaSb quantum well on GaAs substrates for balanced complementary metal-oxide-semiconductors." Current Applied Physics 17, no. 3 (2017): 417–21. http://dx.doi.org/10.1016/j.cap.2017.01.003.

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Anusha, N., and T. Sasilatha. "Performance Analysis of Wide AND OR Structures Using Keeper Architectures in Various Complementary Metal Oxide Semiconductors Technologies." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6999–7008. http://dx.doi.org/10.1166/jctn.2016.5660.

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Power dissipation and area are the important constraints in VLSI design. Various techniques are employed in reducing the power dissipation of the logic circuits. Dynamic CMOS circuits are one of the techniques in VLSI to lower the power dissipation. All gates can be designed using dynamic CMOS to lower the power dissipation. In this paper wide AND OR gates are implemented using Dynamic circuits, where keeper architecture is employed in order to prevent leakage current and to ensure that correct output is obtained. The performance analysis of Wide AND OR structures implemented in dynamic CMOS w

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Stemmer, Susanne. "Thermodynamic considerations in the stability of binary oxides for alternative gate dielectrics in complementary metal–oxide–semiconductors." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 22, no. 2 (2004): 791. http://dx.doi.org/10.1116/1.1688357.

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Lee, Seungwan, and Youngjin Lee. "Performance evaluation of median-modified Wiener filter algorithm in high-resolution complementary metal–oxide–semiconductor radio-magnetic X-ray imaging system: An experimental study." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1010 (September 2021): 165509. http://dx.doi.org/10.1016/j.nima.2021.165509.

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