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

作者： Fuscaldo, Walter Galli, Alessandro Jackson, David R. Institute for Microelectronics and Microsystems National Research Council Rome00133 Italy Sapienza University of Rome Dept. Information Engineering Electronics and Telecommunications Rome00184 Italy University of Houston Dept. of Electrical and Computer Engineering HoustonTX77204-4005 United States

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

The properties of one-dimensional (1-D) unidirectional leaky-wave antennas (LWAs) based on partially reflecting sheets (PRS) are analyzed here. In particular, we derive conditions for maximizing the gain and provide analytical formulas to determine the pattern bandwidth. Design equations are finally obtained to optimize the gain of a practical PRS-based 1-D unidirectional LWA propagating a TE mode. © 2022 IEEE.

关键词： Traveling wave antennas

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Raising Compute Density of Molecular Dynamics Simulation Through Approximate Memoization

Raising Compute Density of Molecular Dynamics Simulation Thr...

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International Conference on Application Specific Systems (ASAP), Architectures and Processors

作者： Salim Khemira Xinyuan Wang Anh Nguyen Yutaka Tamiya Makoto Taiji Takahide Yoshikawa Jason H. Anderson Dept. of Electrical and Computer Engineering University of Toronto Toronto Canada Fujitsu Laboratories Kawasaki Japan RIKEN Center for Biosystems Dynamics Research Kobe Japan

ISBN: (数字)9798350349634

ISBN: (纸本)9798350349641

Molecular dynamics (MD) simulation involves simulating the interactions of particles. MD has many applications in basic biological sciences, drug discovery, materials science, and other fields. Simulating $1\mu \mathrm{s}$ of a 100K-atom system can take hours or days 1 1 https://***/en/research/labs/***, where the compute-heavy aspect of MD is calculating the long-range forces between pairs of particles. In this paper, we explore the application of approximate computing in MD as a means to improve compute density. Specifically, we employ approximate memoization, where previously computed forces (and more) are stored in a table, and are retrieved in subsequent force calculations, provided the inputs to the force calculation are the same or similar. If the prior-computed table values can be used, significant computational work is avoided. In an experimental study, we apply software simulation to understand the degree to which approximation is feasible. We then propose a hardware implementation of memoization to be used within an ASIC MD simulator, MDGRAPE-4A [18]. We show that compute density, measured as $\text{pair-interactions}/(s\cdot\mu m^{2})$ is improved substantially, between 40 % and 70 % for the studied cases. This is contingent on the particular system being simulated, the table size, and permitted level of approximation.

关键词： Materials science and technology Program processors Density measurement Force Dynamics Systems architecture Software

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Wideband Circularly Polarized FOWLP Antenna in Package for Satellite Communications

Wideband Circularly Polarized FOWLP Antenna in Package for S...

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Electronic Components and Technology Conference (ECTC)

作者： Kai Bo Zheng Mei Sun Yong Xin Guo IME attached student from Dept. of Electrical and Computer Engineering National University of Singapore (NUS) Singapore A*STAR (Agency for Science Technology and Research) Institute of Microelectronics (IME) Singapore Electrical and Computer Engineering Dept. National University of Singapore Singapore

This paper presents a wideband circularly-polarized Antenna-in-Package (AiP) element implemented in Fan-Out Wafer-Level-Packaging (FOWLP) technology for satellite communication. The AiP element features a meta-surface radiator with a single-ended aperture coupled feeding structure to achieve a wideband and circular polarization performance. By stacking a top mold of 500μm, a middle mold of 90μm and a 42μm RDL layer at the bottom, with a size of 10 mm×10 mm×0.652 mm, the AiP element achieves a Return Loss > 17.95 dB, an Axial Ratio < 2.67 dB, and a Gain of 7.19-7.88 dBi over 27–31 GHz. The antenna design concept is further confirmed using printed circuit board (PCB) technology for fast prototyping and evaluation.

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A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events

A Decision-Dependent Chance-Constrained Planning Model for D...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Zhou, Anping Sun, Hongbo Kitamura, Shoichi Nikovski, Daniel Dept. of Electrical and Computer Engineering Southern Methodist University DallasTX75205 United States Data Analytics Group Mitsubishi Electric Research Laboratories CambridgeMA02139 United States Advanced Technology R&D Center Mitsubishi Electric Corporation Amagasaki661-8661 Japan

ISBN: (纸本)9798350396782

Extreme weather events have posed tremendous challenges to the operation of distribution networks. In this paper, we propose a decision-dependent chance-constrained model for the optimal planning of diesel generators, renewable distributed generations (RDGs), energy storage systems, and switches under contingency. A promising moment-based ambiguity set that incorporates the information of decision variables is employed to depict the uncertainty arising from RDGs. By leveraging effective approximation methods such as the Bonferroni approximation method to handle the considered joint chance constraints, the proposed model is transformed into a tractable mixed-integer second-order conic programming problem, which means it can easily be implemented. Numerical experiments are put forward on the IEEE 33-bus test system to validate the effectiveness of the developed approach. © 2023 IEEE.

关键词： Chance constraint contingency distribution network distributionally robust optimization renewable energy

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Self-Supervised Motion Segmentation with Confidence-Aware Loss Functions for Handling Occluded Pixels and Uncertain Optical Flow Predictions

Self-Supervised Motion Segmentation with Confidence-Aware Lo...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Chung-Yu Chen Bo-Yun Lai Ying-Shiuan Huang Wen-Chieh Lin Chieh-Chih Wang Dept. of Computer Science National Yang Ming Chiao Tung Univ. College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Mechanical and Mechatronics Systems Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In driving scenarios, motion segmentation is a crucial and fundamental component that is needed for many tasks. Recently, a self-supervised multitasking framework was proposed for driving scenarios. It simultaneously trains motion segmentation, optical flow, dept., and ego-motion models without annotated data. The self-supervised architecture derives training signals from training data via loss functions. If these loss functions lack robustness, they may result in model inaccuracies. To reduce the bad influences of occlusion and optical flow estimation errors on motion segmentation, we propose two loss functions: (1) Soft-Per-Pixel-Minimum (Soft-PPM) loss that excludes occluded pixels while balancing the contribution of each frame on the loss function temporally; (2) Flow difference loss that excludes pixels with unclear motion states to diminish the effect of optical flow estimation errors. Our loss function design is based on the key insight that information such as dept. and optical flow can be used to train motion segmentation models and act as a reliable measure for pixels during training. Our approach can improve segmentation accuracy for both moving and static objects and has achieved IoU scores on moving and static classes comparable to the state-of-the-art methods on the KITTI dataset.

关键词： Optical losses Training computer vision Estimation error Motion segmentation Training data Loss measurement Data models Robustness Optical flow

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Optimum Gain Conditions for 1-D Unidirectional Leaky-Wave Antennas

Optimum Gain Conditions for 1-D Unidirectional Leaky-Wave An...

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2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Fuscaldo, Walter Galli, Alessandro Jackson, David R. National Research Council Institute for Microelectronics and Microsystems Rome00133 Italy Sapienza University of Rome Dept. Information Engineering Electronics and Telecommunications Rome00184 Italy University of Houston Dept. Electrical and Computer Engineering HoustonTX77204-4005 United States

ISBN: (纸本)9781728146706

The optimization of the radiating performance for finite-length 1-D unidirectional leaky-wave antennas (LWAs) is first treated in the general case, i.e., assuming that the phase and attenuation constants can be varied freely. In this general case, an approximate analytical formula is derived to calculate the gain from the beamwidth, improving the accuracy of previous existing formulas. When a particular class of 1-D LWAs is considered, design equations are required to relate the geometrical parameters to the relevant LWA wavenumber. Leaky rectangular waveguides and other LWAs based on partially reflecting sheets (PRS) are two important classes of LWAs for which approximate expressions are available. Design procedures for optimizing the gain are given here for general 1-D LWAs, including leaky rectangular waveguides and other PRS-based LWAs. © 2021 IEEE.

关键词： Traveling wave antennas

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Non-monolithic fabrication of thin-film microelectrode arrays on PMUT transducers as a bimodal neuroscientific investigation tool*

Non-monolithic fabrication of thin-film microelectrode array...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Andrada I. Velea Joshua Wilson Astrid Gollhardt Cyril B. Karuthedath Abhilash S. Thanniyil Vasiliki Giagka Bioelectronics Section Dept. of Microelectronics Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology the Netherlands Fraunhofer Institute for Reliability and Microintegration IZM VTT Technical Research Centre of Finland Ltd.

Ultrasound (US)-based neuromodulation has recently emerged as a spatially selective yet non-invasive alternative to conventional electrically-based neural interfaces. However, the fundamental mechanisms of US neuromodulation are not yet clarified. Thus, there is a need for in-vitro bimodal investigation tools that allow us to compare the effect of US versus electrically-induced neural activity in the vicinity of the transducing element. To this end, we propose a MicroElectrode-MicroTransducer Array (MEMTA), where a dense array of electrodes is co-fabricated on top of a similarly dense array of US *** this paper, we test the proof of concept for such co-fabrication using a non-monolithic approach, where, at its most challenging scenario, desired topologies require electrodes to be formed directly on top of fragile piezoelectric micromachined ultrasound transducer (PMUTs) membranes. On top of the PMUTs, a thin-film microelectrode array was developed utilizing microfabrication processes, including metal sputtering, lithography, etching and soft encapsulation. The samples were analysed through focused ion beam–scanning electron microscopy (FIB-SEM), and the results have shown that damage to the membranes does not occur during any of the process steps. This paper proves that the non-monolithic development of a miniaturised bimodal neuroscientific investigation tool can be achieved, thus, opening up a series of possibilities for further understanding and investigation of the nervous system.

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Measuring and Clustering Network Attackers using Medium-Interaction Honeypots

arXiv

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arXiv 2022年

作者： Shamsi, Zain Zhang, Daniel Kyoung, Daehyun Liu, Alex Applied Research Laboratories University of Texas AustinTX United States Dept. of Electrical and Computer Engineering University of Texas AustinTX United States

Network honeypots are often used by information security teams to measure the threat landscape in order to secure their networks. With the advancement of honeypot development, today's medium-interaction honeypots provide a way for security teams and researchers to deploy these active defense tools that require little maintenance on a variety of protocols. In this work, we deploy such honeypots on five different protocols on the public Internet and study the intent and sophistication of the attacks we observe. We then use the information gained to develop a clustering approach that identifies correlations in attacker behavior to discover IPs that are highly likely to be controlled by a single operator, illustrating the advantage of using these honeypots for data collection. © 2022, CC BY-SA.

关键词： Network security

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Predicting Stress and Providing Counterfactual Explanations: A Pilot Study on Caregivers

Predicting Stress and Providing Counterfactual Explanations:...

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International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Kei Shibuya Zachary D King Maryam Khalid Han Yu Yufei Shen Khadija Zanna Ryan L Brown Marzieh Majd Christopher P Fagunders Akane Sano Dept. of Electrical and Computer Engineering Rice University Houston U.S. Biometrics Research Laboratories. NEC Corporation Tokyo Japan Dept. of Electrical and Computer Engineering The University of Texas Austin U.S Dept. of Psychiatry and Behavioral Sciences University of California San Francisco San Francisco U.S Dept. of Psychiatry Harvard Medical School Boston U.S Dept. of Psychiatry Mood and Psychosis Research Program Brigham and Women’s Hospital Boston U.S Dept. of Psychological Science Rice University Houston U.S

Caregiving for spouses with Alzheimer’s disease or related dementias (ADRD) is one of the most stressful experiences. Evidence-based treatments for caregivers who have a high risk of mental health issues are needed. In this study, we designed models for predicting changes in perceived stress scale (PSS) (increase/not increase) in one week and generated some examples of counterfactual (’what-if’) explanations to change the stress state for helping manage stress. Using self-report (positive and negative affect and sleep quality) and sensor data (heart rate, sleep, and steps) collected in 132 week-long study sessions from 57 participants, we compared explainable PSS change prediction models (Random Forest, XGBoost, LightGBM, EBM, and Neural Network) along with ’what-if’ explanations. First, we developed machine learning models for classifying the change in PSS scores before and after the session period. Second, we identified feature importance using our explainable models. Our results showed that XGBoost performed the best with an accuracy of 0.79 and an F1 score of 0.78 for predicting changes in perceived stress. Our results also showed that minimum heart rate, mean steps per day, and negative affect are the most predictive features. Our preliminary counterfactual examples about sleep parameters would be able to provide suggestions for improving one’s health. We discussed our ideas to provide better suggestions using DiCE.

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RF Performance of FOWLP to PCB Board Transition

RF Performance of FOWLP to PCB Board Transition

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Electronics Packaging Technology Conference (EPTC)

作者： K. B. Zheng Sun Mei Sharon Lim Pei Siang Jong Ming Chinq Lau Boon Long Zhou Lin Lim Teck Guan IME attached student from Dept. of Electrical and Computer Engineering National University of Singapore (NUS) Innovis Tower Singapore Institute of Microelectronics (IME) A*STAR (Agency for Science Technology and Research)

ISBN: (纸本)9798350398861

Fan-Out Wafer-Level-Packaging (FOWLP) to PCB transition enables the scaling of an antenna element into an array at a PCB level. This paper presents key design steps ensuring the FOWLP package-to-board transition structure's performance. The back-to-back package-to-board transition structure has a maximum simulated insertion loss of 0.88 dB and a minimum return loss of 11.73 dB over 20 to 35 GHz. A prototype was also fabricated for further characterization.

关键词： Radio frequency 5G mobile communication Wireless networks System performance Web and internet services Prototypes Insertion loss

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