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Iranian Conference on electrical engineering (ICEE)

作者： Danial Abyazi Dadfar Abyazi Mehran Yazdi Department of Computer Engineering Institute for Advanced Studies in basic Science University Zanjan Iran Department of Electrical and Computer Engineering Shiraz University Shiraz Iran School of Electrical and Computer Engineering Shiraz Uniersity Shiraz Iran

Object detection, while being a key step in many applications, has remained challenging, mainly due to the different resolutions of objects in an image. On the other hand, Super-Resolution (SR) approaches have recently been developed to improve the resolution of an image. In this paper, we utilize SR to enhance the quality of images before applying them to a detection model and propose a structure where the detection performance is improved. Furthermore, we remove the image noises by SR methods. Comparisons depict the superior visual performance of the proposed method compared to the conventional detection models. We evaluate our proposed method for detection of solar panels in two countries. To this aim, we created a dataset of satellite images needed for implementing detection models. As a result, we can simply evaluate the usage of solar panels in countries.

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Blind Lane Detection and Following for Assistive Navigation of Vision Impaired People 8

Blind Lane Detection and Following for Assistive Navigation ...

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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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uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?

arXiv

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arXiv 2024年

作者： Sadeghi, Pouya Abaskohi, Amirhossein Yaghoobzadeh, Yadollah Department of Electrical and Computer Engineering University of Tehran Iran Department of Computer Science University of British Columbia Canada Tehran Institute for Advanced Studies Khatam University Tehran Iran

Inspired by human cognition, Jiang et al. (2023c) create a benchmark for assessing LLMs' lateral thinking-thinking outside the box. Building upon this benchmark, we investigate how different prompting methods enhance LLMs' performance on this task to reveal their inherent power for outside-the-box thinking ability. Through participating in SemEval-2024, task 9, Sentence Puzzle sub-task, we explore prompt engineering methods: chain of thoughts (CoT) and direct prompting, enhancing with informative descriptions, and employing contextualizing prompts using a retrieval augmented generation (RAG) pipeline. Our experiments involve three LLMs including GPT-3.5, GPT-4, and Zephyr-7B-β. We generate a dataset of thinking paths between riddles and options using GPT-4, validated by humans for quality. Findings indicate that compressed informative prompts enhance performance. Dynamic in-context learning enhances model performance significantly. Furthermore, fine-tuning Zephyr on our dataset enhances performance across other commonsense datasets, underscoring the value of innovative thinking. © 2024, CC BY.

关键词： Benchmarking

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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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New EVENODD+ Codes with More Flexible Parameters and Lower Complexity

New EVENODD+ Codes with More Flexible Parameters and Lower C...

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IEEE International Symposium on Information Theory

作者： Panyu Zhu Jingjie Lv Yunghsiang S. Han Linqi Song Hanxu Hou Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China School of Electrical Engineering & Intelligentization Dongguan University of Technology Department of Computer Science City University of Hong Kong

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

EVENODD+ codes are binary maximum distance separable (MDS) array codes for correcting double disk failures in RAID-6 with asymptotically optimal encoding/decoding/update complexities. However, the number of bits stored in each disk of EVENODD+ codes should be an odd number minus one. In this paper, we present a new construction of EVENODD+ codes that have more flexible parameters. The number of bits stored in each disk of our codes is an odd minus one times any positive integer. Moreover, our codes not only have asymptotically optimal encoding/decoding/update complexities but also have lower encoding/decoding/update complexities than the existing EVENODD+ codes.

关键词： Codes Complexity theory

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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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Energy Consumption Prediction of a CNC Machining Process With Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2021年第5期8卷 987-1000页

作者： Jian Pan Congbo Li Ying Tang Wei Li Xiaoou Li the State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China the Department of Electrical and Computer Engineering Rowan UniversityGlassboroNJ 08028 USA the Computer Science Department The Research and Advanced Studies Centre of the National Polytechnic InstituteMexico City 07360Mexico

Energy consumption prediction of a CNC machining process is important for energy efficiency optimization *** improve the generalization abilities,more and more parameters are acquired for energy prediction *** the data collected from workshops may be incomplete because of misoperation,unstable network connections,and frequent transfers,*** work proposes a framework for energy modeling based on incomplete data to address this ***,some necessary preliminary operations are used for incomplete data ***,missing values are estimated to generate a new complete data set based on generative adversarial imputation nets(GAIN).Next,the gene expression programming(GEP)algorithm is utilized to train the energy model based on the generated data ***,we test the predictive accuracy of the obtained *** experiments are designed to investigate the performance of the proposed framework with different rates of missing *** results demonstrate that even when the missing data rate increases to 30%,the proposed framework can still make efficient predictions,with the corresponding RMSE and MAE 0.903 k J and 0.739 k J,respectively.

关键词： Energy consumption prediction incomplete data generative adversarial imputation nets(GAIN) gene expression programming(GEP)

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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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Measurement of Synthetic-Dimension Band Structures in Silicon Coupled Ring Resonators 16

Measurement of Synthetic-Dimension Band Structures in Silico...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Zhang, Ruming Li, Liucun Kamata, Mikiya Baba, Toshihiko Ozawa, Tomoki Ota, Yasutomo Iwamoto, Satoshi Research Center for Advanced Science and Technology The University of Tokyo Tokyo153-8904 Japan Yokohama National University Department of Electrical and Computer Engineering Yokohama240-8501 Japan Advanced Institute for Materials Research Tohoku University Sendai980-8577 Japan Keio University Department of Applied Physics and Physico-Informatics Yokohama223-8533 Japan

We fabricated integrated silicon coupled-ring resonators and measured photonic band structures for synthetic frequency lattices with different configurations. A phase difference between two modulation signals introduc... 详细信息

ISBN: (纸本)9798350372076

关键词： Silicon photonics

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