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Technology, Systems and Applications (VLSI-TSA/VLSI-DAT), International VLSI Symposium on

作者： Yao-Hung Tsai Shen-Iuan Liu Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan

A 10-bit 100-MS/s asynchronous successive approximation register (SAR) analog-to-digital converter (ADC) is presented by using the digital place-and-route (DPR) tools. The floorplan and blockage constraint for the bootstrapped switch and the comparator are presented to improve the parasitic capacitances caused by the DPR tools, respectively. The redundancy in the capacitive digital-to-analog converter (CDAC) and the on-chip reference buffer are presented to relieve the CDAC settling error. This calibration-free SAR ADC is fabricated in 40-nm CMOS technology and its active area is 0.0072 mm 2 . To compare with the full-custom method, the DPR flow has speeded up by a factor of 76 to complete the interconnection wires. Its power dissipation is $418-\mu\mathrm{W}$ at 100-MS/s and the calculated Walden FoM is 10.9-fJ/c. step at Nyquist frequency.

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DEEP-LEARNING-BASED MAGNETIC RESONANCE SIMULTANEOUS MULTISLICE IMAGING USING HOLOGRAPHIC IMAGE DECODING

arXiv

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arXiv 2024年

作者： Ito, Satoshi Sato, Yuki Endo, Naoya Ouchi, Shohei Graduate Program in Information Electrical and Electronic Systems Engineering Utsunomiya University Japan Department of Innovative Electrical and Electronic Engineering National Institute of Technology Oyama Japan

Simultaneous multislice (SMS) imaging is a one of the acceleration technique of magnetic resonance imaging. SMS requires accurate sensitivity distributions in the slice plane for each receiving coil. This requirement is difficult to satisfy in practice, limiting the applications of this imaging technique. Here, images are reconstructed by applying deep learning and amplitude modulation to each slice image. Simulation experiments show that image reconstruction can be achieved for both real- and complex-valued images. Image quality tends to decrease with increasing number of simultaneously acquired images. It is also shown that a larger difference in the phase modulation coefficients between slices tends to increase the quality of the reconstructed images. Simulation experiments and initial MR imaging experiments show promising results for this method. Copyright © 2024, The Authors. All rights reserved.

关键词： Holography

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An Improved I-V model for Resistive Random Access Memory

An Improved I-V model for Resistive Random Access Memory

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2022 IEEE International Conference on electrical, Computer, and Energy Technologies, ICECET 2022

作者： Chung, Harry Shin, Hyungsoon Sun, Wookyung Park, Jisun Graduate Program in Smart Factory Ewha Womans University Dept. of Electronic and Electrical Engineering Seoul Korea Republic of Seoul National University Department of Electrical and Computer Engineering Seoul Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul Korea Republic of

ISBN: (数字)9781665470872

ISBN: (纸本)9781665470872

In this paper, we performed a simulation for a physical resistive random-access device (RRAM) to propose an improved model representing its electrical characteristics. Voltage ThrEshold Adaptive Memristor (VTEAM) model that operates based on the voltage threshold of the device adapted for the RRAM simulation. We applied some physical features to the model to adjust the internal state variable to improve the simulation results. The internal state variable used in the model was designed after the physical feature such as the distance between the end of the filament and the electrode of the device. Therefore, applying some of these physical conditions affects the simulation results. Simulation results with the newly applied model showed optimized I-V characteristics that resemble the physical device's behavior more than the existing model. © 2022 IEEE.

关键词： Memristors

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Analysis of Cutter Wear Conditions in CNC Machine Tools with Wavelet Packet Transform 14

Analysis of Cutter Wear Conditions in CNC Machine Tools with...

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14th International Conference on electrical and electronics engineering, ELECO 2023

作者： Göllü, Mehmet Yilmaz, Alper Bayrak, Gökay Erbab Machinery Spare Parts Ind. Trade Hosab 3rd St. No:5/a Bursa16120 Turkey Bursa Technical University Graduate School of Natural and Applied Sciences Department of Electrical Engineering Bursa16330 Turkey Bursa Technical University Faculty of Engineering and Natural Sciences Department of Electrical and Electronics Engineering Bursa16330 Turkey

ISBN: (纸本)9798350360493

Cutter wear and breakages in CNC machines lead to financial losses ranging from 5% to 10% of annual revenue for companies. Especially in the production of automotive and defense industry products, there are high expectations for precision and uninterrupted production within the scope of industry 4.0. Therefore, minimizing cutter breakages and monitoring their conditions in CNC machines is of great importance. In recent years, research using smart methods to solve these problems has increased. In this study, the current of the servo motor operating in a CNC machine is measured during its operation. The obtained current signals are decomposed using the wavelet packet transform (WPT), and an attempt is made to determine the status of the cutter on the relevant axis. The use of WPT is proposed to ensure high noise immunity. The developed system aims to provide operators with real-time notifications about the condition of cutters, enabling rapid intervention. Thus, the goal is to reduce additional costs resulting from cutter breakages and minimize downtime that negatively affects production continuity. The results obtained using WPT are expected to make a significant contribution to increasing efficiency and minimizing errors in the metalworking industry. © 2023 IEEE.

关键词： Wear of materials

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Dual-band Split-ring Antenna with High-gain Endfire Radiation Characteristics for 5G mm-wave Applications

Dual-band Split-ring Antenna with High-gain Endfire Radiatio...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Aboualalaa, Mohamed Mansour, Islam Pokharel, Ramesh K. Electronics Research Institute Microstrip Department Cairo11843 Egypt Benha University Faculty of Engineering Shoubra Electrical Engineering Department Cairo11629 Egypt Kyushu University Graduate School of Information Science and Electrical Engineering Fukuoka819-0385 Japan

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

A dual-frequency band high-gain split-ring antenna is proposed for 5G mm-wave applications. The antenna consists of three split ring resonators (SRRs), one is the main SRR which radiates at the first resonant frequency (f1=24.5 GHz). The other two resonators are parasitic SRRs which act as directors to get end-fire radiation characteristics for the proposed antenna at f1. In addition, the two parasitic SRRs are fed by capacitive coupling with the main SRR to radiate at the second resonant frequency (f2=28.5 GHz). The antenna has better radiation characteristics. It has high gain values of 7.9, and 7.5 dBi with radiation efficiencies of 92% and 95% at f1, and f2, respectively. The proposed antenna is a good candidate for MIMO array at 5G frequency bands utilizing the antenna high gain to improve the system performance. © 2022 IEEE.

关键词： Natural frequencies

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Three-dimensional inter-layer optical signal transmission realized by a monolithically integrated semiconductor-based carrier transport structure

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Optics Express 2023年第7期31卷 11820-11828页

作者： Wei, Yu-Chien Mao, Ming-Hua Graduate Institute of Electronics Engineering National Taiwan University No. 1 Roosevelt Rd. Sec. 4 Taipei10617 Taiwan Department of Electrical Engineering National Taiwan University No. 1 Roosevelt Rd. Sec. 4 Taipei10617 Taiwan Graduate Institute of Photonics and Optoelectronics National Taiwan University No. 1 Roosevelt Rd. Sec. 4 Taipei10617 Taiwan

In this study, we proposed and demonstrated a brand new type of monolithic photonic devices which realizes the three-dimensional (3D) all-optical switching for inter-layer signal transmission. This device is composed of a vertical Si microrod which serves as optical absorption material within a SiN waveguide in one layer and as an index modulation structure within a SiN microdisk resonator lying in the other layer. The ambipolar photo-carrier transport property in the Si microrod was studied by measuring the resonant wavelength shifts under continuous-wave laser pumping. The ambipolar diffusion length can be extracted to be 0.88 µm. Based on the ambipolar photo-carrier transport in a Si microrod through different layers, we presented a fully-integrated all-optical switching operation using this Si microrod and a SiN microdisk with a pump-probe technique through the on-chip SiN waveguides. The switching time windows for the on-resonance operation mode and the off-resonance operation mode can be extracted to be 439 ps and 87 ps, respectively. This device shows potential applications for the future all-optical computing and communication with more practical and flexible configurations in monolithic 3D photonic integrated circuits (3D-PICs). © 2023 Optica Publishing Group.

关键词： Pumping (laser)

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Study on Electromagnetic Resonance Antennas in the Vicinity of Human Body

Study on Electromagnetic Resonance Antennas in the Vicinity ...

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2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

作者： Hiramoto, Toshiya Hirabayashi, Koichi Noguchi, Keisuke Kanazawa Institute of Technology Graduate Program in Electrical Engineering and Electronics Ishikawa Nonoichi Japan Fukuvi Chemical Industry Co Ltd Equipment Engineering Section Fukui Fukui City Japan Kanazawa Institute of Technology Depertment of Electrical and Electronic Engineering Ishikawa Nonoichi Japan

ISBN: (数字)9781665432382

ISBN: (纸本)9781665432382

In this study, we investigate a directional electromagnetic resonance antenna (EMRA) for application to wearable antennas. We designed an EMRA in free space and confirmed its unidirectional pattern through simulations and prototype experiments. We also analyze the characteristics of EMRA when it is in close to the surface of a human phantom. As a result, EMRA in the vicinity of human body resulted in a gain reduction of up to 2 dB compared to the free-space condition. However, when the distance from the surface of the human phantom was more than 10 mm, the gain was confirmed to be close to that in free space. © 2022 IEEE.

关键词： Phantoms

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Fuzzy Classifier Based Colorimetric Quantification Using a Smartphone

Fuzzy Classifier Based Colorimetric Quantification Using a S...

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International Conference on Intelligent and Fuzzy Systems, INFUS 2020

作者： Mercan, Öykü Berfin Kılıç, Volkan Electrical and Electronics Engineering Graduate Program Izmir Katip Celebi University Izmir Turkey

ISBN: (纸本)9783030511555

The recent advances in smartphone technology have led to the emergence of simple, low-cost and portable platforms that aim reliable qualitative and quantitative analysis of colored solutions. In this paper, we present a new approach based on fuzzy classification for quantitative detection of peroxide relying on color change due to concentration level. The proposed fuzzy classification algorithm was integrated with a smartphone via a cloud system. Our custom-designed Android application was developed with a user-friendly interface to allow the users to capture the image of peroxide strips and crop the region of interest on the image for quantification. Average RGB (Red-Green-Blue) values in the cropped region were calculated to transfer these values to our proposed fuzzy logic classifier via a cloud system to quantify the peroxide content. The proposed fuzzy classifier evaluates the concentration value based on RGB values and sends back to the Android application via the cloud system. Experimental investigations show the advantage of the proposed system for the quantification of peroxide. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smartphones

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Object detection of Train Line Equipment using SSD and YOLOv7

Object detection of Train Line Equipment using SSD and YOLOv...

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Information Technology and Digital Applications (ICITDA), IEEE International Conference on

作者： Daisuke Majima Nico Surantha Department of Electrical Engineering and Chemistry Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Department of Electrical Electronics and Communication Engineering Tokyo City University Faculty of Science and Engineering Tokyo Japan

ISBN: (数字)9798331510732

ISBN: (纸本)9798331510749

In modern society, the early detection of damage to train line equipment and regular inspections were essential for ensuring the safe operation of trains. Traditionally, inspections of train line equipment were conducted manually at night. However, this method posed issues such as the need for significant labor and limited mobility. To address these problems, efforts were made to improve mobility by installing cameras on the roofs of test vehicles. However, the analysis of the images captured by these cameras was still conducted manually. In recent years, the use of drones, high-resolution cameras, and AI for inspections had been explored. This paper reported on a preliminary study concerning damage detection of train line equipment using deep learning and its application to autonomous drones. In this study, two models were used for object detection of train line equipment. The target equipment in this study included three components: hanger, connector, and insulator. The dataset contained a total of 2,400 images, with 800 images each for the hanger, connector, and insulator. To evaluate the training progress of the models, the mean Average Precision (mAP) was used for both the training and test datasets. The training was conducted on a Windows PC with CUDA support. The object detection models used were the Single Shot multibox Detector (SSD) and You Only Look Once (YOLOv7). After simulations, the following results were obtained. For the training data, the SSD model achieved an mAP of 73.51%, while the YOLOv7 model achieved an mAP of 97.5%. For the test data, the SSD model achieved an mAP of 53.74%, while the YOLOv7 model achieved an mAP of 76.30%.

关键词： Training Connectors Deep learning YOLO Visualization Inspection Insulators Cameras Data models Drones

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Integrity of Cyber-Physical Discrete Event Systems under covert actuator attacks

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IFAC-PapersOnLine 2024年第1期58卷 198-203页

作者： Samuel Oliveira André B. Leal Marcelo Teixeira Yuri K. Lopes Department of Exact and Technological Sciences Federal University of Amapá (UNIFAP) Macapá/AP Brazil Graduate Program in Electrical Engineering Santa Catarina State University (UDESC) Joinville/SC Brazil Graduate Program in Electrical Engineering Federal University of Technology (UTFPR) Pato Branco/PR Brazil Graduate Program in Applied Computing Santa Catarina State University (UDESC) Joinville/SC Brazil

The connectivity requirements brought by Industry 4.0 pose new challenges for cyber-physical systems (CPS), such as the strengthening of their resilience against cyberattacks. In this paper, we use the discrete event systems (DES) formalism to develop an approach that aims to protect CPS from covert actuator attacks using event permutation maps. In this approach, properly selected controllable events are permuted on the plant's site so that attacks on actuators do not have the impact on the plant as expected by the intruder and unsafe states are avoided. Furthermore, a property termed AE-protectability is presented to characterize the necessary and sufficient conditions for the system to be protected against such attacks through event permutations. The proposed approach is applied to a case study where the Identification of the attack is done without causing damage while maintaining the integrity of the system.

关键词： Cyber-security Supervisory Control Theory Diagnosis

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