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arXiv 2024年

作者： Li, Zhiyuan Zhao, Wenshuai Wu, Lijun Pajarinen, Joni Department of Electrical Engineering and Automation Aalto University Finland School of Computer Science and Engineering University of Electronic Science and Technology of China China

In multi-agent reinforcement learning, centralized training with decentralized execution (CTDE) methods typically assume that agents make decisions based on their local observations independently, which may not lead to a correlated joint policy with coordination. Coordination can be explicitly encouraged during training and individual policies can be trained to imitate the correlated joint policy. However, this may lead to an asymmetric learning failure due to the observation mismatch between the joint and individual policies. Inspired by the concept of correlated equilibrium, we introduce a strategy modification called AgentMixer that allows agents to correlate their policies. AgentMixer combines individual partially observable policies into a joint fully observable policy non-linearly. To enable decentralized execution, we introduce Individual-Global-Consistency to guarantee mode consistency during joint training of the centralized and decentralized policies and prove that AgentMixer converges to an ϵ-approximate Correlated Equilibrium. In the Multi-Agent MuJoCo, SMAC-v2, Matrix Game, and Predator-Prey benchmarks, AgentMixer outperforms or matches state-of-the-art methods. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Fast Foothold Planning for Quadruped Robot Locomotion Using Topological Perception

Fast Foothold Planning for Quadruped Robot Locomotion Using ...

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International electronics Symposium (IES)

作者： Azhar Aulia Saputra Masaya Shoji Fernando Ardilla Naoyuki Kubota Department of Mechanical Systems Engineering Graduate School of System Design Tokyo Metropolitan University Japan Department of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Indonesia

ISBN: (数字)9798350391992

ISBN: (纸本)9798350392005

Recent advancements in legged robot locomotion systems have led to significant improvements in their agility and overall performance. However, for these systems to effectively handle sudden obstacles, especially in foothold areas, real-time integration of external information is crucial. In this paper, we introduce a rapid integration approach between perception and action in legged robot locomotion to address such unexpected external obstacles. We utilize depth sensors to capture external data in the form of pointclouds. We have developed a fast surface perception model based on topological information, employing dynamic sparsity through the growing neural gas algorithm. This model addresses several key challenges in 3D point cloud extraction: 1) Extracting object features from a smaller portion of data. 2) Controlling granularity in unsupervised learning using a topological structure. 3) Controlling granularity with only 3D positional point cloud information. To evaluate the effectiveness of our proposed method, we conducted a series of progressive experiments. Initially, we compared the performance of our topological perception model with similar approaches. Subsequently, we carried out qualitative and quantitative experiments using a real, low-cost quadruped robot

关键词： Point cloud compression Legged locomotion Solid modeling Three-dimensional displays Heuristic algorithms Feature extraction Sensors

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Deployment of RIS in MIMO OFDM Dual-Function Radar-Communication System

Deployment of RIS in MIMO OFDM Dual-Function Radar-Communica...

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IEEE Southeastcon

作者： Nihad A. A. Elhag Sharief F. Babikir Liang Liu Ping Wei Department of Electronic Engineering University of Gezira Wadmadani Sudan College of Engineering and Computer Science University of Tennessee at Chattanooga Chattanooga USA School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

ISBN: (数字)9798331504847

ISBN: (纸本)9798331504854

Dual-function radar-communication (DFRC) system is considered one of the most promising technologies in wireless communication systems. By using orthogonal frequency division multiplexing (OFDM), the system can sense several spatial directions while serving multiple users concurrently. Multi-input multi-output (MIMO) DFRC with the aid of a reconfigurable intelligent surface (RIS) is examined in this paper. Using genetic algorithms, this paper optimizes the mutual information (MI) performance metric for the targets while ensuring a minimum error rate for the users. For the scenarios considered in this paper, it is shown that the proper RIS deployment can improve the system performance by 20%.

关键词： Wireless communication Power measurement Error analysis Radar measurements OFDM System performance Radar Reconfigurable intelligent surfaces Mutual information Genetic algorithms

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Design of a Wi-Fi-Compatible Common-Mode Noise Filter Using Dual-Band Matching Network

Design of a Wi-Fi-Compatible Common-Mode Noise Filter Using ...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Cheng-Yi Zhuang Ting-Yu Lee Ding-Bing Lin Yen-Hao Chen Department of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Signal Integrity Engineering Department Inventec Corporation Taoyuan Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

Modern digital signal transmission heavily relies on differential-mode signals. However, challenges such as asymmetrical routing, bending, and timing skew can compromise their symmetry, leading to common-mode noise issues. To address this challenge, we propose a dual-band absorptive common-mode noise suppression filter incorporating a series unified dual-band matching network. This approach effectively maintains the integrity of differential signals while suppressing common-mode noise. The proposed architecture has been verified to achieve an absorption efficiency of over 80% in the target frequency bands of 2.4-2.48 GHz and 5.18-5.32 GHz. They are furthermore, adding the dual-band matching network results in only a slight increase in the overall footprint. This implementation presents a promising solution for mitigating electromagnetic interference (EMI) challenges in digital signal transmission.

关键词： Matched filters Absorption Noise Electromagnetic interference Noise reduction Dual band Electromagnetic compatibility

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Drivers Real time Drowsiness, Attention Detection and Alarm System using Eye Aspect Ratio(EAR) Analysis

Drivers Real time Drowsiness, Attention Detection and Alarm ...

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International Conference on Advancement in Electrical and electronic engineering (ICAEEE)

作者： Nawshad Ahmed Sk Niyaz Romiz Rohul Amin Mahe Shahriar Shan Masroor Mahmud Department of Electrical and Electronic Engineering Bangladesh Army University of Science and Technology Dinajpur Bangladesh Department of Electrical and Electronic Engineering Bangladesh Army University of Science and Technology Satkhira Bangladesh Department of Computer Science and Engineering Bangladesh Army University of Science and Technology Tangail Bangladesh Department of Electrical and Electronic Engineering Bangladesh Army University of Science and Technology Dhaka Bangladesh Department of Computer Science and Engineering Bangladesh Army University of Science and Technology Satkhira Bangladesh

ISBN: (数字)9798350388282

ISBN: (纸本)9798350388299

There is an immediate threat to the highway transportation system from road accidents, which can cause death, serious injury, and property damage. Accidents involving motor vehicles cause significant injury or death to a large number of individuals annually. Fatigue, lack of focus, and lethargy are key contributors to vehicle collisions. In order to identify driver inattention or exhaustion in real-time, this research lays forth a system that combines an emergency alarm system with Eye Aspect Ratio (EAR), which is based on facial landmarks. The method's strength is that it can accurately differentiate between closed eyes and inattention, even in low-light conditions. The experimental results demonstrate the efficacy of the proposed method in resolving these critical issues, offering a practical means to enhance road safety.

关键词： Road accidents Ear Alarm systems Fatigue Real-time systems Road safety Safety

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FDTD Simulation of Reconfigurable Intelligent Surfaces with GSTCs

FDTD Simulation of Reconfigurable Intelligent Surfaces with ...

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USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

作者： Yu Cheng Xingqi Zhang School of Electrical and Electronic Engineering University College Dublin Dublin Ireland Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

ISBN: (数字)9789463968119

ISBN: (纸本)9798350359497

In the evolving landscape of wireless communication, controlling electromagnetic (EM) waves has become increasingly crucial with the next generation of networks. Reconfigurable intelligent surfaces (RISs) lead a new era in adaptive communication systems. These surfaces, engineered with arrays of metallic and dielectric elements, from focusing to redirecting signals, offer precise manipulation of EM waves. However, accurately modeling these surfaces, given their complex element arrangements, remains a formidable challenge.

关键词： Wireless communication Surface waves Electromagnetic scattering Focusing Reconfigurable intelligent surfaces Lead Time-domain analysis

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Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification

Late Breaking Results: Weight Decay is ALL You Need for Neur...

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Design Automation Conference

作者： Xizi Chen Rui Pan Xiaomeng Wang Fengshi Tian Chi-Ying Tsui College of Informatics Huazhong Agricultural University China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong China

The heuristic iterative pruning strategy has been widely used for neural network sparsification. However, it is challenging to identify the right connections to remove at each pruning iteration with only a one-shot evaluation of weight magnitude, especially at the early pruning stage. The erroneously removed connections, unfortunately, can hardly be recovered. In this work, we propose a weight decay strategy as a substitute for pruning, which let the "insignificant" weights moderately decay instead of being directly clamped to zero. At the end of the training, the vast majority of redundant weights will naturally become close to zero, making it easier to identify which connections could be removed safely. Experimental results show that the proposed weight decay method can achieve an ultra-high sparsity of 99%. Compared to the current pruning strategy, the model size is further reduced by 34%, improving the compression rate from 69× to 106× at the same accuracy.

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Prediction of Range Error and Correction in Single Frequency Navigational Receivers Based on GPS Satellite Data During Solar Flare Days

Prediction of Range Error and Correction in Single Frequency...

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2022 International Conference on Digital Transformation and Intelligence, ICDI 2022

作者： Kiruthiga, S. Mythili, S. Mukesh, R. Vijay, M. Jeyabalan, S. Dass, Sarat Asirvadam, Vijanth Sagayan Saranathan College of Engineering Department of Ece Trichy India Psna College of Engineering and Technology Department of Ece Dindigul India Acs College of Engineering Department of Aerospace Engineering Bangalore India Rajarajeswari College of Engineering Department of Cse Bangalore India School of Mathematical and Computer Sciences Heriot Watt University Malaysia Universiti Teknologi Petronas Department of Electrical & Electronic Engineering Malaysia

ISBN: (纸本)9798350397000

The geomagnetic storms and solar flares are a threat to the Global Navigation Satellite Systems, especially GPS. Investigation of prediction ability of Ordinary Kriging built Meta-Model (OKMM) and the consequence on the positional accuracy of GPS throughout the Solar Fare (SF) X1.3 and X1, which occurred on 28-10-2021and 30-03-2022 was done in this work. GPS TEC data is obtained from the HYDE (Hyderabad) IGS station. GPS TEC data is predicted for ten days, including five days before and five days after the SF using four primary input parameters namely Kp, SSN, Ap and F10.7. The performance of the OKMM is assessed using statistical parameters such as RMSE, NRMSE and Correlation Coefficient (CC). The results show that the developed model has average performance metrics of 7.12, 0.1613, and 0.9852 TECU in terms of RMSE, NRMSE & CC during the X 1.3 SF and the model has average performance metrics of 5.82, 0.2339 and 0.9559 TECU in terms of RMSE, NRMSE & CC during the X 1 SF. The range error during the SF times ranges from 3-10 m. In this range, the OKMM prediction is estimated to have a very high percentile of accuracy in predicting this error. Thus, justifying that the prediction evaluated by this model will be a great aid for ensuring seamless working of satellite and navigation applications © 2022 IEEE.

关键词： Global positioning system

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Approximate EFX and Exact tEFX Allocations for Indivisible Chores: Improved Algorithms

arXiv

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arXiv 2024年

作者： Afshinmehr, Mahyar Ansaripour, Matin Danaei, Alireza Mehlhorn, Kurt Department of Computer Engineering Sharif University of Technology Iran Computer and Communications Sciences Department EPFL Switzerland Max Planck Institute for Informatics SIC Germany

We explore the fair distribution of a set of m indivisible chores among n agents, where each agent’s costs are evaluated using a monotone cost function. Our focus lies on two fairness criteria: envy-freeness up to any item (EFX) and a relaxed notion, namely envy-freeness up to the transfer of any item (tEFX). We demonstrate that a 2-approximate EFX allocation exists and is computable in_polynomial time for three agents with subadditive cost functions, improving upon the previous (2 + √6) approximation for additive cost functions. This result requires extensive case analysis. Christoforidis and Santorinaios (2024) independently claim the same approximation for additive cost functions;however, we provide a counter-example to their algorithm. We expand the number of agents to any number to get the same approximation guarantee with the assumption of partially identical ordering (IDO) for the cost functions. Additionally, we establish that a tEFX allocation is achievable for three agents if one has an additive 2-ratio bounded cost function, while the others may have general monotone cost functions. This is an improvement from the prior requirement of two agents with additive 2-ratio bounded cost functions. This allocation can also be extended to agent groups with identical valuations. Further, we show various analyses of EFX allocations for chores, such as the relaxations for additive α-ratio-bounded cost functions. © 2024, CC BY-NC-SA.

关键词： Cost functions

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A layer-sensitivity based artificial neural network for characterization of oil palm fruitlets

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International Journal of Applied Science and engineering 2021年第1期18卷 1-7页

作者： Adedayo, Ojo Onibonoje, Moses Isa, Maryam Department of Electrical Electronic and Computer Engineering College of Engineering Afe Babalola University Ado Ekiti Ekiti Nigeria Department of Electrical and Electronic Engineering Universiti Putra Malaysia Serdang Selangor Malaysia

This paper presents an intelligent means of addressing characterization and grading problems in the oil palm industry for the purpose of quality control. A Layer-Sensitivity Based Artificial Neural Network (LSB_ANN) which updates its layer weights based on sensitivity analysis was designed to predict the oil content and dielectric constant of mature oil palm fruitlets. The LSB_ANN was designed, optimized and trained with 604 data points obtained from laboratory microwave coaxial sensor measurements within 2- 4 GHz. The performance evaluation of the model when tested with a separate set of data showed that the properties of the fruitlets were accurately modeled. To further investigate the generalization ability of the trained neural network, three other neural network training algorithms were deployed for the same dataset. A multi-criteria evaluation of the performances of the networks showed that the proposed LSB_ANN outperformed the other three in generalization accuracy, time and computing resources. The LSB_ANN therefore represents a handy tool for rapid and intelligent characterization of oil palm fruitlets for quality control and research purposes. © Copyright: The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted distribution provided the original author and source are cited.

关键词： Artificial neural network Dielectric properties Oil palm fruitlets Open-ended coaxial sensor Sensitivity analysis Training algorithms

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