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8th IEEE International Conference on advanced Robotics and Mechatronics, ICARM 2023

作者： Han, Zhicheng Gu, Jason Feng, Ying Institute of Advanced Technology University of Science and Technology of China Hefei230031 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNS Canada College of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350300178

The task of safely navigating outdoor environ-ments presents significant difficulties for people with visual impairments. This paper aims to address this issue by proposing a wearable assistance system for visually impaired individuals in blind lane detection and following scenarios. The system consists of two stages: the first stage employs a fully convolutional network to detect blind lanes and an object detection network to identify obstacles. The second stage utilizes an improved artificial potential field method to achieve real-time path following based on the detection results. Our experiments involving subjects in dynamic outdoor environments demonstrate the robustness of our proposed method in navigating and avoiding obstacles under challenging outdoor conditions. © 2023 IEEE.

关键词： Object detection

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Mitigating Voltage Fluctuations in Grid-Tied PV Systems: Power Quality Enhancement 3

Mitigating Voltage Fluctuations in Grid-Tied PV Systems: Pow...

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3rd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Khan, Sheena Tahira Joshi, Vilas Ramrao Bhardwaj, Deepak Sharma, Surender Kumar Waheed, Shaikh Abdul Sharma, Deepak K. Poornima University Department of Electrical Engineering Jaipur India ISBM College of Engineering Department of Computer Engineering Maharashtra Pune India Dr. Akhilesh Das Gupta Institute of Professional Studies Department of Mechanical Engineering New Delhi India GH Raisoni College of Engineering and Management Pune India Savitribai Phule Pune University Department of Artificial Intelligence and Data Science Maharashtra Pune India

ISBN: (纸本)9798350361391

This paper investigates voltage fluctuations in grid-tied Photovoltaic (PV) systems, employing advanced methodologies within a 10 kW experimental setup that incorporates SunTech STP330-24/Vfw panels, an advanced Power Electronics Inverter, and real-time monitoring, supported by MAT-LAB/Simulink simulations. Robust data collection utilizes real-time monitoring, data loggers, and a power quality analyzer, with calibration against simulated outputs. The integration of smart inverters, advanced control algorithms, real-time monitoring, energy storage, grid-interactive power electronics, and Hardware in the Loop simulation showcases substantial enhancements in power quality, stability, and response times. Key findings include minimal voltage fluctuations (0.25 V), a power quality index of 0.92, and rapid response times (12 ms). Comparative analyses validate proposed methodologies, emphasizing implications for heightened reliability, potential widespread adoption of advanced PV technologies, and informed policymaking for cleaner energy. This study makes a significant contribution to renewable energy goals, with suggested avenues for future research focusing on adaptability, buffering enhancement, iterative testing, and economic feasibility assessments, ensuring the continuous evolution of resilient and eco-friendly energy solutions. © 2024 IEEE.

关键词： Hardware-in-the-loop simulation

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Brain organoids in motor cortex involved in motor output 24

Brain organoids in motor cortex involved in motor output

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9th International Conference on Biomedical Signal and Image Processing, ICBIP 2024

作者： Fan, Xiaoman Xu, Yuchen Xu, Shibo Yang, Yuqi Shi, Lufeng Liu, Yan Zhang, Shaomin Qiushi Academy for Advanced Studies Department of Biomedical Engineering Zhejiang University China Center of Excellence in Biomedical Research on Advanced Integrated-on-Chips Neurotechnologies School of Engineering Westlake University China State Key Laboratory of Reproductive Medicine Institute for Stem Cell and Neural Regeneration Nanjing Medical University China Qiushi Academy for Advanced Studies Department of Computer Science and Technology Zhejiang University China Department of Neurosurgery Sir Run Run Shaw Hospital Medical College Zhejiang University China

ISBN: (纸本)9798400717970

Motor function is essential in daily life while brain damage in motor system such as stroke would lead to long term motor function deficits. Brain organoids, a novel in vitro stem cell culture technology, offer a new idea for motor function recovery. In this study, we pumped out the motor cortex of forelimbs to mimic brain injury in mice and implanted human brain organoids into the cavity combined with microwire electrodes to simultaneously record neural signals from both the organoids and the host animals. Our findings indicate that the brain organoids can be involved in motor output and the involvement can be improved through behavioral training. © 2024 Copyright held by the owner/author(s).

关键词： Stem cells

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Multiple-Masks Error Correction Code Transformer for Short Block Codes

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IEEE Journal on Selected Areas in Communications 2025年

作者： Park, Seong-Joon Kwak, Hee-Youl Kim, Sang-Hyo Kim, Sunghwan Kim, Yongjune No, Jong-Seon Institute of Artificial Intelligence Pohang37673 Korea Republic of University of Ulsan Department of Electrical Electronic and Computer Engineering Ulsan44610 Korea Republic of Sungkyunkwan University Department of Electrical and Computer Engineering Suwon16419 Korea Republic of Kyonggi University School of Electronic Engineering Suwon16227 Korea Republic of Department of Electrical Engineering Pohang37673 Korea Republic of Yonsei University Institute for Convergence Research and Education in Advanced Technology Seoul03722 Korea Republic of Seoul National University Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

With the broadening applications of deep learning, neural decoders have emerged as a key research focus, specifically aimed at improving the decoding performance of conventional decoding algorithms. In particular, error correction code transformer (ECCT), which utilizes the transformer architecture, has achieved state-of-the-art performance among neural network-based decoders. We present three technical contributions to significantly enhance the performance of ECCT. First, we propose a novel transformer architecture of ECCT, termed the multiple-masks ECCT (MM ECCT). We employ multiple masked self-attention blocks with different mask matrices in a parallel manner to learn diverse relationships among the codeword bits. Second, we discover that constructing mask matrices based on systematic parity check matrices (PCMs) can make the attention maps sparse, which not only enhances the decoding performance but also reduces computational complexity. Finally, we propose using complementary mask matrices derived from cyclic permutations of the systematic PCM. These complementary mask matrices are specifically designed to enhance the decoding of cyclic codes. Our extensive simulation results show that the proposed MM ECCT architecture with carefully designed mask matrices outperforms the original ECCT by a large margin, achieving state-of-the-art decoding performance among neural decoders. The source code is available at https://***/iil-postech/mm-ecct. © 1983-2012 IEEE.

关键词： Decoding

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FMCW Monopulse Radar with an Orthogonally Polarized Dual-Beam Dielectric Resonator Antenna

FMCW Monopulse Radar with an Orthogonally Polarized Dual-Bea...

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International Symposium on Antennas and Propagation (ISAP)

作者： Chanhee Lee Kyeong-Han Shin Ji-Hoon Lee Hyo-Won Lee Jeong-Wook Kim Jong-Won Yu School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea Department of Electrical and Computer Engineering Ajou University Suwon Republic of Korea

ISBN: (数字)9798350364774

ISBN: (纸本)9798350364781

In this paper, frequency-modulated continuous-wave (FMCW) radar system using dielectric resonator antenna (DRA), which has two beams with orthogonal linear polarization to each other, is introduced to function as a monopulse radar. The DRA operates at 24.3 GHz with a 16.8% bandwidth and provides over 40 dB isolation between V-pol and H-pol ports. Simulations demonstrate effective target detection and advanced directional information extraction, similar to monopulse radar, using a signal processing technique to address overlapping beam regions.

关键词： Polarization Resonant frequency Radar detection Radar Object detection Radar antennas Information retrieval Dielectric resonator antennas Radar signal processing Dielectrics

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Analyzing the Futuristic Scope of Artificial Intelligence in the Healthcare Sector in India 2

Analyzing the Futuristic Scope of Artificial Intelligence in...

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2nd International Conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Joshi, Rahul Pandey, Krishna Kumari, Suman Gupta, Shashi Kant Mohanty, Mitali Salau, Ayodeji Olalekan Manav Rachna International Institute of Research & Studies Department of Journalism & Mass Communication Smeh Haryana India Haryana India Eudoxia Research University New CastleDE United States Afe Babalola University Department of Electrical/Electronics and Computer Engineering Ado-Ekiti Nigeria

ISBN: (纸本)9798350364699

With the use of enormous databases, artificial intelligence (AI) methods are transforming the evaluation of illnesses by recognizing trends and building trustworthy systems. This method, along with the availability of large healthcare records enables physicians in India to establish more reliable diagnostic instruments, optimizing the outcomes of patients. The study examines the application of AI on information associated with liver and cardiac illnesses. A novel nutcracker search- driven kernelized support vector machine (NS-KSVM) framework is presented in this work to effectively analyze liver and cardiac illnesses. In the framework, the NS optimization strategy is employed to enhance the KSVM's parameters. To train the NS-KSVM method, datasets are initially collected from public sources. Then, a min-max scalar is applied to raw data samples for normalizing purposes. After that, linear discriminant analysis (LDA) is employed to extract the significant features from the normalized data. Then, the illness prediction process is carried out by the proposed method. This research is implemented in a Python tool to analyze the NS- KSVM's performance in terms of various metrics. It demonstrated that our proposed method achieved better performance in the healthcare sector than other existing methodologies. © 2024 IEEE.

关键词： Support vector machines

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A universal infrared absorption analysis system using deep learning

A universal infrared absorption analysis system using deep l...

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2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

作者： Nakgawa, Eito Sasaki, Hiroto Nishijima, Yoshiaki Department of Electrical and Computer Engineering Graduate School of Engineering Japan Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan Institute of Advanced Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan Institute for Multidisciplinary Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan

We focused on reducing the experimental cost of obtaining mid-infrared absorption spectra using machine learning techniques. The large amount of spectral data from HITRAN and quantum scientific calculations can be a u... 详细信息

关键词： Adversarial machine learning

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Thermal radiation control by MIM metasurfaces

Thermal radiation control by MIM metasurfaces

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2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

作者： Kawaida, Tsuyoshi Tanaka, Megumi Sekiya, Kazuma Nishijima, Yoshiaki Department of Electrical and Computer Engineering Graduate School of Engineering Japan Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan Institute of Advanced Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan Institute for Multidisciplinary Sciences Yokohama National University 79-5 Tokiwadai Hodogaya-ku Japan

We have realized the thermal radiation control of MIM metasurface using the concept of metalens. The reflection phase was obtained FDTD simulation and fabricated the metasurface by electron beam lithography. The focal... 详细信息

关键词： Electron beam lithography

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Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs

arXiv

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arXiv 2023年

作者： Kalhor, Ghazal Zeraati, Tanin Bahrak, Behnam School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Tehran Institute for Advanced Studies Tehran Iran

Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due to biases. Extensive research has been conducted on detecting partiality patterns in the academic community. However, in the last few decades, limited research has focused on assessing gender and nationality biases in graduate admission results of universities. In this study, we collected a novel and comprehensive dataset containing information on approximately 14,000 graduate students majoring in computer science (CS) at the top 25 North American universities. We used statistical hypothesis tests to determine whether there is a preference for students' gender and nationality in the admission processes. In addition to partiality patterns, we discuss the relationship between gender/nationality diversity and the scientific achievements of research teams. Consistent with previous studies, our findings show that there is no gender bias in the admission of graduate students to research groups, but we observed bias based on students' nationality. © 2023, CC BY.

关键词： Students

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On Achieving High-Fidelity Grant-Free Non-Orthogonal Multiple Acces

SSRN

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SSRN 2024年

作者： Peng, Limei Mei, Haoran Ho, Pin-Han The School of Computer Science and Engineering Kyungpook National University Deagu Korea Republic of Shenzhen Institute for Advanced Study UESTC Department of Electrical and Computer Engineering University of Waterloo WaterlooON Canada

Grant-free access (GFA) has been envisioned to play an active role in massive Machine Type Communication (mMTC) under 5G and Beyond mobile systems, which targets at achieving significant reduction of signaling overhead and access latency in the presence of sporadic traffic and small-size data. The paper focuses on a novel K-repetition GFA (K-GFA) scheme by incorporating Reed-Solomon (RS) code with the contention resolution diversity slotted ALOHA (CRDSA), aiming to achieve high-reliability and low-latency access in the presence of massive uncoordinated MTC devices (MTCDs). We firstly defines a MAC layer transmission structure at each MTCD for supporting message-level RS coding on a data message of Q packets, where a RS code of KQ packets is generated and sent in a super time frame (STF) that is composed of Q time frames. The access point (AP) can recover the original Q packets of the data message if at least Q out of the KQ packets of the RS code are successfully received. The AP buffers the received MTCD signals of each resource block (RB) within an STF and exercises the CRDSA based multi-user detection (MUD) by exploring signal-level inter-RB correlation via iterative interference cancellation (IIC). With the proposed CRDSA based K-GFA scheme, we provide the complexity analysis, and derive a closed-form analytical model on the access probability for each MTCD as well as its simplified approximate form. Extensive numerical experiments are conducted to validate its effectiveness on the proposed CRDSA based K-GFA scheme and gain deep understanding on its performance regarding various key operational parameters. © 2024, The Authors. All rights reserved.

关键词： Multiuser detection

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