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Annual Allerton Conference on Communication, Control, and Computing

作者： Ahmed S. Alahmed Guido Cavraro Andrey Bernstein Lang Tong School of Electrical and Computer Engineering Cornell University Ithaca NY USA Power System Engineering Center National Renewable Energy Laboratory Golden CO USA

We propose an operating-envelope-aware, prosumer-centric, and efficient energy community that aggregates individual and shared community distributed energy resources and transacts with a regulated distribution system operator (DSO) under a generalized net energy metering tariff design. To ensure safe network operation, the DSO imposes dynamic export and import limits, known as dynamic operating envelopes, on end-users’ revenue meters. Given the operating envelopes, we propose an incentive-aligned community pricing mechanism under which the decentralized optimization of community members’ benefit implies the optimization of overall community welfare. The proposed pricing mechanism satisfies the cost-causation principle and ensures the stability of the energy community in a coalition game setting. Numerical examples provide insights into the characteristics of the proposed pricing mechanism and quantitative measures of its performance.

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Real-Time Switched Capacitor Based Power Side-Channel Attack Detection

Real-Time Switched Capacitor Based Power Side-Channel Attack...

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International Conference on Microelectronics, ICM

作者： Leen Younes Baker Mohammad Mahmoud Al-Qutayri Hani Saleh Dima Kilani Department of Electrical and Computer Engineering System on Chip Lab (SoC) Khalifa University Abu Dhabi UAE School of Engineering University of British Columbia Kelowna Canada

Side-channel attacks (SCAs) are regarded as significant risks to the hardware implementation of cryptographic systems. Side-channel information, such as timing, power, and electromagnetic radiation, is leaked through the system and can be exploited for secret key extraction. This work proposes a real-time and compatible detection method for power SCAs. The technique utilizes a switched capacitor DC-DC (SC-DCDC) converter in conjunction with a lightweight artificial intelligence engine for power SCA detection. The proposed system, referred to as EoH, possesses the capability to perform dynamic voltage scaling and learn the behaviors of the cryptographic system to identify potential attacks. The switching activities of the SC-DCDC converter can be viewed as measurements of the cryptographic function. Therefore, a recurrent neural network was chosen as it processes time-series data most effectively. The technique is system-specific, meaning that during the enrollment phase, the normal operation of the system is learned. Furthermore, the technique can be expanded to include other types of SCAs and is not limited to power.

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Enhancing Pulmonary Nodule Classification performance with TriCaps-RL: A Capsule Network Reinforcement Learning Approach

Journal of Network Intelligence

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Journal of Network Intelligence 2024年第3期9卷 1441-1459页

作者： Zheng, Guang-Yuan Zhang, Fu-Quan Cheng, Chen Shan, Hong-Tao Soomro, Nouman Qadeer Liu, Yi College of Information Technology Shanghai Jian Qiao University Shanghai201306 China School of Mathematics and Computer Science Yanan University Shaanxi 716000 China School of Computer and Data Science Minjiang University No.200 Xiyuangong Road Fuzhou University Town Fuzhou350108 China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu610021 China Fuzhou Technology Innovation Center of intelligent Manufacturing information System Minjiang University Fuzhou350108 China Fujian Province University Fuzhou350300 China College of Business Shanghai Jian Qiao University Shanghai201306 China College of Electronic and Electrical Engineering Shanghai University of Engineering Science Shanghai201620 China Software Department Mehran University of Engineering & Technology Sindh 76062 Pakistan

Distinguishing the manifestations of pulmonary nodules poses a significant challenge in the medical field, demanding the expertise of experienced radiologists. This complexity results in the high cost and inadequacy of sample labeling. In response, this study introduces a reinforcement learning approach, denoted as TriCaps-RL, for the classification of pulmonary nodules based on CT signs. This approach initially employs the Q-value loss to train a single CapsNet. When the performance of the CapsNet plateaus and further enhancement becomes challenging, the loss function is progressively replaced by a triplet metric to augment performance. Consequently, a more nuanced differentiation among various types of pulmonary nodules is achieved. The proposed method can improve its performance through interactions with radiologists during their CT image reading process, thereby mitigating the shortage of radiologists and addressing the time-consuming issue of training sample labeling in medical image research. This paper delves into the fine-grained classification of pulmonary nodules using deep reinforcement learning based on CT imaging signs. In comparison to previous studies that primarily concentrate on the benign/malignant classification of lung nodules, this fine-grained classification of nodules founded on CT imaging signs proves to be more valuable for medical practitioners in making accurate diagnostic decisions. © 2024, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Lung cancer

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Sensitivity Analysis for Stopping Criteria with Application to Organ Transplantations 23

Sensitivity Analysis for Stopping Criteria with Application ...

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Proceedings of the Winter Simulation Conference

作者： Xingyu Ren Michael C. Fu Steven I. Marcus Department of Electrical and Computer Engineering Institute for System Research University of Maryland College Park MD USA Robert H. Smith School of Business Institute for System Research University of Maryland College Park MD USA

ISBN: (纸本)9798350369663

We consider a stopping problem and its application to the decision-making process regarding the optimal timing of organ transplantation for individual patients. At each decision period, the patient state is inspected and a decision is made whether to transplant. If the organ is transplanted, the process terminates; otherwise, the process continues until a transplant happens or the patient dies. Under suitable conditions, we show that there exists a control limit optimal policy. We propose a smoothed perturbation analysis (SPA) estimator for the gradient of the total expected discounted reward with respect to the control limit. Moreover, we show that the SPA estimator is asymptotically unbiased.

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Design of a 28nm CMOS Self-Biased Ring Oscillator for Intrinsically Robust PVT TRNG

Design of a 28nm CMOS Self-Biased Ring Oscillator for Intrin...

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Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： João Cabacinho João Casaleiro Luís Oliveira Dept. of Electrical and Computer Engineering NOVA School of Science and Technology Caparica Portugal Center for Technologies and System (CTS) - UNINOVA Dept. Electrical Telecommunications and Computers Engineering ISEL Lisboa Portugal

In this paper we present a dynamic entropy generator based on the oscillator jitter, which uses a self-biasing technique to minimize process, voltage, and temperature (PVT) variations. The proposed circuit has the advantage of its intrinsic robustness due to self-biasing design, which eliminates the need of additional calibration steps and simplifies the circuit topology, with a negligible impact in area and power consumption. A frequency deviation below 15 % and a maximum jitter difference of 32 % under PVT variations, is obtained, in a 28 nm CMOS technology circuit prototype. For validation of the proposed circuit technique the IC prototype is compared with a standard ring oscillator and with traditional calibration techniques.

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Phase apodized silicon Bragg grating filter with varying sidewall ridge width

Phase apodized silicon Bragg grating filter with varying sid...

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OptoElectronics and Communications Conference, OECC

作者： Xinyu Zhang Wei Jiang Shuo Yuan Haipeng Liu Wenbo Ren Xincheng Xia Jijun Feng School of Mathematics and Physics China University of Geosciences Wuhan P.R. China Shanghai Key Laboratory of Modern Optical System Engineering Research Center of Optical Instrument and System (Ministry of Education) School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

ISBN: (数字)9798350308396

ISBN: (纸本)9798350308402

In this work, phase apodized silicon Bragg grating filters with varying sidewall ridge width and location were investigated, while the resonance wavelength, extinction ratio and rejection bandwidth can be tuned flexibly. The grating filters with a waveguide width of 500 nm and grating period of 400 nm were fabricated and characterized for a proof of concept. The presented sidewall ridge modulated apodized grating can be expected to have great application prospects for optical communications and semiconductor lasers.

关键词： Bragg gratings Bandwidth Waveguide lasers Extinction ratio Silicon photonics Resonance Optical fiber communication Semiconductor waveguides Gratings Optical waveguides

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Guest Editorial: Special Issue on Technology Trends in Control, Robotics and systems - For the 30th Anniversary of the Institute of Control, Robotics and systems -

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Journal of Institute of Control, Robotics and systems 2024年第4期30卷 295-295页

作者： Ko, Nak Yong Kang, Taesam Song, Jin Woo Lim, Myo Taeg Jo, Kang-Hyun Department of Electronic Engineering Interdisciplinary Program in IT-Bio Convergence System Chosun University Korea Republic of Department of Mechanical and Aerospace Engineering Konkuk University Korea Republic of Department of Intelligent Mechatronics Engineering Sejong University Korea Republic of School of Electrical Engineering Korea University Korea Republic of Department of Electrical Electronic and Computer Engineering University of Ulsan Korea Republic of

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Strength Assessment Procedure using Grid Strength Impedance Metric with PSCAD

Strength Assessment Procedure using Grid Strength Impedance ...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Deokki You Soseul Jeong Yeuntae Yoo Seungmin Jung Gilsoo Jang School of Electrical Engineering Korea University Seoul Republic of Korea Distributed Power System Research Center Korea Electrotechnology Research Institute (KERI) Gwangju Republic of Korea Depart. of Electrical Engineering Myongji University Gyeonggi Republic of Korea Depart. of Electrical and computer Engineering University of Seoul Seoul Republic of Korea

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

With the growing integration of inverter-based renewable energy sources, modern power systems face increasing challenges in maintaining grid strength across a wide frequency spectrum. Traditional indices, such as the short circuit ratio (SCR), primarily assess grid strength at the fundamental frequency, which is inadequate for evaluating the impact of dynamic, power electronics-based devices such as inverters on grid stability. This limitation poses significant risks to the performance and reliability of consumer electronics, which depend on a stable and robust grid connection for seamless operation across various frequencies. This paper proposes a comprehensive procedure to assess grid robustness using the grid strength impedance metric (GSIM), which analyzes system stability across all frequency ranges, particularly in the context of consumer electronics integration. Through detailed PSCAD-based simulations of the Jeju Island power grid, we extract frequency-dependent impedances and evaluate grid strength both with and without the connection of Grid-Following (GFL) inverters. The results demonstrate that while grid strength is high at the fundamental frequency, potential instability arises at higher frequencies, especially when inverter output is at its peak. These findings underscore the importance of robust, frequency-wide analysis to ensure the reliable operation of consumer electronics in modern power systems.

关键词： Electric potential Grid following Stability criteria Power system stability Robustness Circuit stability Power system reliability Impedance PSCAD Consumer electronics

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Full Field-of-View and Speckleless Dmd Holographic Near-Eye Display Based on Band-Limit Double-Step Diffraction with Binary Iteration Optimization

SSRN

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SSRN 2023年

作者： Ding, Xian Chang, Chenliang Dai, Bo Wang, Qi Zhang, Dawei Zhuang, Songlin School of Optical-Electrical and Computer Engineering Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Laboratory of Modern Optics System University of Shanghai for Science and Technology Shanghai200093 China

Digital Micromirror Devices, owing to their rapid refresh rates, are among the most commonly used spatial light modulators in holographic three-dimensional near-eye displays. However, the modulation of Digital Micromirror Devices is typically confined to binary amplitude modulation, resulting in a noticeable presence of zero-order and conjugate noise, which significantly occupies the spatial bandwidth of the display optics and limits the achievable maximum field of view of the spatial light modulator. To address these issues, we propose a novel computational framework for generating binary computer-generated holograms for Digital Micromirror Device-based holographic near-eye displays. Our framework employs an iterative-based optimization strategy within a band-limited double-step diffraction computation, thereby enhancing the display quality while achieving a considerable field of view by eliminating zero-order wave and conjugate noise. By combining with temporal multiplexing method, we also achieve a true three-dimensional holographic near-eye display featuring low speckle noise and high contrast. © 2023, The Authors. All rights reserved.

关键词： Holographic displays

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CONCRETIZER: MODEL INVERSION ATTACK VIA OCCUPANCY CLASSIFICATION AND DISPERSION CONTROL FOR 3D POINT CLOUD RESTORATION

arXiv

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arXiv 2025年

作者： Kim, Youngseok Hwang, Sunwook Kim, Hyung-Sin Bahk, Saewoong Department of Electrical and Computer Engineering Seoul National University Korea Republic of System LSI Samsung Electronics Korea Republic of Graduate School of Data Science Seoul National University Korea Republic of

The growing use of 3D point cloud data in autonomous vehicles (AVs) has raised serious privacy concerns, particularly due to the sensitive information that can be extracted from 3D data. While model inversion attacks have been widely studied in the context of 2D data, their application to 3D point clouds remains largely unexplored. To fill this gap, we present the first in-depth study of model inversion attacks aimed at restoring 3D point cloud scenes. Our analysis reveals the unique challenges, the inherent sparsity of 3D point clouds and the ambiguity between empty and non-empty voxels after voxelization, which are further exacerbated by the dispersion of non-empty voxels across feature extractor layers. To address these challenges, we introduce ConcreTizer, a simple yet effective model inversion attack designed specifically for voxel-based 3D point cloud data. ConcreTizer incorporates Voxel Occupancy Classification to distinguish between empty and non-empty voxels and Dispersion-Controlled Supervision to mitigate non-empty voxel dispersion. Extensive experiments on widely used 3D feature extractors and benchmark datasets, such as KITTI and Waymo, demonstrate that ConcreTizer concretely restores the original 3D point cloud scene from disrupted 3D feature data. Our findings highlight both the vulnerability of 3D data to inversion attacks and the urgent need for robust defense strategies. Copyright © 2025, The Authors. All rights reserved.

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