检索结果-内蒙古大学图书馆

Nonlinearity, Information and robotics, (NIR) International Conference

作者： Vadim Grubov Vladimir Maksimenko Semen Kurkin Marina Khramova Natalya Aleksandrova Alexander Hramov Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Russia Faculty of Computer Science Saratov State University Saratov Russia

ISBN: (数字)9781728187631

ISBN: (纸本)9781728187648

We have analyzed EEG signals of children during cognitive load of specific type in order to estimate level of attention during this task. EEG signals were recorded in accordance with proposed design of experiment. For obtained EEG data we have analyzed behavioral characteristics as well as EEG-related characteristics. We have found that behavioural characteristic changes through the task, so may the attention level. We have also found that cognitive task completion is accompanied by appearance of spatial structure - specific distribution of wavelet energy across cortex, which partially changes during completion of the task as well. We believe that changes in attention level are tied to changes in energy distribution, so we suggest this distribution to be used as the marker for attention state estimation.

关键词： Time-frequency analysis Education Wavelet analysis Electroencephalography Task analysis State estimation Robots

来源：评论

学校读者我要写书评

暂无评论

Radiation detectors fabricated by secondary students 38

Radiation detectors fabricated by secondary students

引用

38th International Cosmic Ray Conference, ICRC 2023

作者： Tanaka, K.S. Abe, H. Enomoto, H. Hoashi, R. Kimura, M. Kita, R. Kobayashi, N. Kono, R. Kumagai, K. Maruta, K. Nakagawa, R. Nose, C. Saito, R.J. Sasaki, M. Takanashi, M. Accel Kitchen LLC 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Waseda University Faculty of Science and Engineering 3-4-1 Okubo Shinjuku-ku Tokyo Japan Tohoku University Department of Mechanical and Aerospace Engineering 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tokyo Institute of Technology Department of Earth and Planetary Science 2-12-1 Ookayama Meguro-ku Tokyo Japan Tohoku University Department of Physics 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tokyo Denki University Department of Robotics and Mechatronics 5 Senju Asahi-cho Adachi-ku Tokyo Japan University of Tokyo Natural Sciences I 3-8-1 Komaba Meguro-ku Tokyo Japan Tohoku University Department of Quantum Science and Energy Engineering 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tohoku University Department of Chemistry 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tohoku University Department of Earth Sciences 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tohoku University Planetary Plasma and Atmospheric Research Center 6-3 Aramaki Aza-Aoba Aoba-ku Sendai Japan Tohoku University Department of Health Sciences 2-1 Seiryo-machi Aoba-ku Miyagi Sendai Japan 1-5-1 Chofugaoka Chofu Tokyo Japan

Accel Kitchen LLC offers online support to over 150 high school and junior high school students in their personal radiation research. Many of these students have fabricated original detectors, such as a depth of interaction (DOI) detector comprising multiple scintillator layers for particle identification and positional sensitivity measurement, a Cherenkov detector made from an acrylic block and Silicon photomultiplier, and a time-of-flight detector capable of sub-nanosecond resolution using a Red Pitaya ADC board. Thus, students not only conduct their measurements with given detectors but also assemble and modify them for their own research purposes. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Silicon detectors

来源：评论

学校读者我要写书评

暂无评论

Analysis of gradient descent algorithms: Discrete to continuous domains and circuit equivalents

引用

Systems and Control Letters 2025年 203卷

作者： Hao, He Silvestre, Daniel Silvestre, Carlos Institute for Systems and Robotics Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Department of Electrical and Computer Department Faculty of Science and Technology University of Macau China 2829-516 Caparica Caparica Portugal UNINOVA – CTS and LASI Campus de Caparica 2829-516 Caparica Portugal

In recent years, there have been several advances in iterative optimization algorithms seen as closed-loop control systems in discrete-time that solve unconstrained optimization problems. In this paper, we extend these advances to the continuous setting and leverage circuit equivalence to present a possible implementation of such controllers. Next, we address constrained Quadratic Programming (QP) challenges within a primal–dual framework that appears in many controller definitions. By drawing parallels between second-order ODEs and circuit dynamics, our study bridges theoretical optimization with practical electrical analogues that can be designed and implemented for problems in systems engineering, robotics, and autonomous vehicles that could benefit from the low power and latency of these optimization-based controllers. © 2025 The Authors

关键词： Closed loop control systems

来源：评论

学校读者我要写书评

暂无评论

Using Machine Learning Approaches to Localization in an Embedded System on RobotAtFactory 4.0 Competition: A Case Study

Using Machine Learning Approaches to Localization in an Embe...

引用

IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Luan C. Klein João Braun Felipe N. Martins Heinrich Wörtche Andre Schneider de Oliveira João Mendes Vítor H. Pinto Paulo Costa José Lima Universidade Tecnológica Federal do Paraná Campus Curitiba UTFPR/PR Brasil Research Centre in Digitalization and Intelligent Robotics (CeDRI) Instituto Politécnico de Braganca Campus de Santa Apolonia Portugal Laboratory for Sustainability and Technology in Mountain Regions (SusTEC) Instituto Politécnico de Bragança Bragança Portugal Faculty of Engineering of University of Porto Portugal INESC Technology and Science Porto Portugal Sensors and Smart Systems Group Institute of Engineering Hanze University of Applied Sciences The Netherlands Department of Electrical Engineering Eindhoven University of Technology The Netherlands SYSTEC (DIGI2) ARISE & ECE Dept. Fac. de Engenharia Universidade do Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on the feasibility of using machine learning in a Raspberry Pi 4 Model B, solving the localization problem using images and fiducial markers (ArUco markers) in the context of the RobotAtFactory 4.0 competition. The approaches were validated using a realistically simulated scenario. Three algorithms were tested, and all were shown to be a good solution for a limited amount of data. Results also show that when the amount of data grows, only Multi-Layer Perception (MLP) is feasible for the embedded application due to the required training time and the resulting size of the model.

关键词： Location awareness Training Embedded systems Machine learning algorithms Navigation Decision making Machine learning

来源：评论

学校读者我要写书评

暂无评论

Characterization of ultrasonic communication channel in swimming pool

Characterization of ultrasonic communication channel in swim...

引用

2019 Signal Processing Symposium, SPSympo 2019

作者： Brulinski, Konrad Rudzinski, Adam Stefani, Alexander Institute of Electronic Systems Warsaw University of Technology Warsaw Poland A.R.f. Warsaw Poland AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Kraków Poland

ISBN: (纸本)9781728117157

The aim of the paper is to present results of measurements performed to characterize the ultrasonic communication channel in a swimming pool. The paper describes the most important relevant properties of ultrasonic waves in water and of the used measurement setup, as well as characteristics of the ultrasonic channel. The obtained results reveal very significant contribution of reflected waves. Potential problems related to such environment with strong multipath propagation are discussed. The conclusions from this work can be used for design of a system using ultrasounds for transfer of information in a swimming pool. © 2019 IEEE.

关键词： Lakes

来源：评论

学校读者我要写书评

暂无评论

A discrete-time reputation-based resilient consensus algorithm for synchronous or asynchronous communications

arXiv

引用

arXiv 2021年

作者： Ramos, Guilherme Silvestre, Daniel Silvestre, Carlos The Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Portugal NOVA University of Lisbon The Institute for Systems and Robotics Instituto Superior Técnico University of Lisbon Lisbon1049-001 Portugal The Dep. of Electrical and Computer Engineering The Faculty of Science and Technology The University of Macau China Instituto Superior Técnico Technical University of Lisbon Lisbon Portugal

We tackle the problem of a set of agents achieving resilient consensus in the presence of attacked agents. We present a discrete-time reputation-based consensus algorithm for synchronous and asynchronous networks by developing a local strategy where, at each time, each agent assigns a reputation (between zero and one) to each neighbor. The reputation is then used to weigh the neighbors' values in the update of its state. Under mild assumptions, we show that: (i) the proposed method converges exponentially to the consensus of the regular agents;(ii) if a regular agent identifies a neighbor as an attacked node, then it is indeed an attacked node;(iii) if the consensus value of the normal nodes differs from that of any of the attacked nodes' values, then the reputation that a regular agent assigns to the attacked neighbors goes to zero. Further, we extend our method to achieve resilience in the scenarios where there are noisy nodes, dynamic networks and stochastic node selection. Finally, we illustrate our algorithm with several examples, and we delineate some attacking scenarios that can be dealt by the current proposal but not by the state-of-the-art approaches. Copyright © 2021, The Authors. All rights reserved.

关键词： Stochastic systems

来源：评论

学校读者我要写书评

暂无评论

Improving energy detection performance using segment of primary user signal energy in wide-band cognitive radio systems

引用

AIP Conference Proceedings 2023年第1期2579卷

作者： Khaled BaAli Mohammed Abo-Zahhad Mohammed Farrag Sabah Ahmed Phaklen Ehkan Department of Electronics and Communication Engineering Hadhramout University Mukalla Yemen Department of Electronics and Communication Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Faculty of Engineering King Khalid University Asir – Abha Saudi Arabia Department of Mechatronics and Robotics Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Advanced Computing CoE Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Pauh Putra Campus Arau Perlis Malaysia

Energy detection based cognitive radio has gained remarkable attention. This is because of its simple implementation and it does not involve any prior knowledge of the detecting signal. Although, it is prone to noise uncertainty. Recently, the use of compressed measurements improved the performance of energy detection. In this paper, we investigate the effect of using a segment of primary user signal energy ƞE on detection performance regarding compression ratios. The simulation results show the detector performance becomes better as ƞE increased. However, increasing ƞE should be bounded, so it does not involve sacrificing the use of the compressed measurement system as a suggestion to improve energy detection performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Adaptive Inference through Bayesian and Inverse Bayesian Inference with Symmetry-Bias in Nonstationary Environments

arXiv

引用

arXiv 2025年

作者： Shinohara, Shuji Morita, Daiki Hirai, Hayato Kuribayashi, Ryosuke Manome, Nobuhito Moriyama, Toru Nakajima, Yoshihiro Gunji, Yukio-Pegio Chung, Ung-Il School of Science and Engineering Tokyo Denki University Saitama Japan Department of Bioengineering Graduate School of Engineering The University of Tokyo Tokyo Japan Department of Research and Development SoftBank Robotics Group Corp. Tokyo Japan Faculty of Textile Science Shinshu University Ueda Japan Graduate School of Economics Osaka City University Osaka Japan Department of Intermedia Art and Science School of Fundamental Science and Technology Waseda University Tokyo Japan

This study introduces a novel inference framework, designated as Bayesian and inverse Bayesian (BIB) inference, which concurrently performs both conventional and inverse Bayesian updates by integrating symmetry bias into Bayesian inference. The effectiveness of the model was evaluated through a sequential estimation task involving observations sampled from a Gaussian distribution with a stochastically time-varying mean. Conventional Bayesian inference entails a fundamental trade-off between adaptability to abrupt environmental shifts and estimation accuracy during stable intervals. The BIB framework addresses this limitation by dynamically modulating the learning rate through inverse Bayesian updates, thereby enhancing adaptive flexibility. The BIB model generated spontaneous bursts in the learning rate during sudden environmental transitions, transiently entering a high-sensitivity state to accommodate incoming data. This intermittent burst-relaxation pattern functions as a dynamic mechanism that balances adaptability and accuracy. Further analysis of burst interval distributions demonstrated that the BIB model consistently produced power-law distributions under diverse conditions. Such robust scaling behavior, absent in conventional Bayesian inference, appears to emerge from a self-regulatory mechanism driven by inverse Bayesian updates. These results present a novel computational perspective on scale-free phenomena in natural systems and offer implications for designing adaptive inference systems in nonstationary environments. © 2025, CC BY-NC-ND.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

DSR: Direct Simultaneous Registration for Multiple 3D Images?

arXiv

引用

arXiv 2021年

作者： Mao, Zhehua Zhao, Liang Huang, Shoudong Fan, Yiting Lee, Alex P.W. Robotics Institute Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia Department of Cardiology Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai China Division of Cardiology Department of Medicine and Therapeutics Prince of Wales Hospital Laboratory of Cardiac Imaging and 3D Printing Li Ka Shing Institute of Health Science Faculty of Medicine The Chinese University of Hong Kong Hong Kong

This paper presents a novel algorithm named Direct Simultaneous Registration (DSR) that registers a collection of 3D images in a simultaneous fashion without specifying any reference image, feature extraction and matching, or information loss or reuse. The algorithm optimizes the global poses of local image frames by maximizing the similarity between a predefined panoramic image and local images. Although we formulate the problem as a Direct Bundle Adjustment (DBA) that jointly optimizes the poses of local frames and the intensities of the panoramic image, by investigating the independence of pose estimation from the panoramic image in the solving process, DSR is proposed to solve the poses only and proved to be able to obtain the same optimal poses as DBA. The proposed method is particularly suitable for the scenarios where distinct features are not available, such as Transesophageal Echocardiography (TEE) images. DSR is evaluated by comparing it with four widely used methods via simulated and in-vivo 3D TEE images. It is shown that the proposed method outperforms these four methods in terms of accuracy and requires much fewer computational resources than the state-of-the-art accumulated pairwise estimates (APE). Codes of DSR are available at https://***/ZH-Mao/DSR. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Investigation of the process of grinding of a char coal obtained from tires waste pyrolysis

Investigation of the process of grinding of a char coal obta...

引用

Mineral Engineering Conference 2019, MEC 2019

作者： Sidor, J. Budzyń, S. Czosnek, C. Kozub-Budzyń, G. Tora, B. Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Mickiewicza 30 Av. Krakow30-059 Poland Faculty of Energy and Fuels AGH University of Science and Technology Mickiewicza 30 Av. Krakow30-059 Poland Faculty of Geology Geophysics and Environmental Protection AGH University of Science and Technology Mickiewicza 30 Av. Krakow30-059 Poland Faculty of Mining and Geoengineering AGH University of Science and Technology Mickiewicza 30 Av. Krakow30-059 Poland

The paper contains results of examinations of grinding of char obtained from waste car tires. The grinding of the char was conducted in a laboratory vibratory mill of low vibration frequency. The examinations concerned the possibility of using a char as raw material in industry, particularly as a substitute for carbon black applied for the production of rubber. One of the basic parameters characterizing carbon black is particle size distribution as well as specific surface area. In the examinations, the char was obtained with following characteristic sizes of particles: d50 = 2.5 ÷ 9.3 μm, d90 = 13.3 ÷ 35.0 μm and specific surface area 74 ÷ 163 m2/g matching the particle size distribution and specific surface area characteristic of carbon black, which means that in order to grind a char, the vibratory mill can be used. Komentarz [D1]: This terminology is not clear to use in the paper. © Published under licence by IOP Publishing Ltd.

关键词： Carbon black

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：