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Shape Estimation of Travel Path Using Reservoir computing for Water-Driven Soft Robot 11

Shape Estimation of Travel Path Using Reservoir Computing fo...

引用

11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Mieno, Junya Sumioka, Hidenobu Takuma, Takashi Osaka Institute of Technology Department of Electrical and Electric Systems Engineering Osaka Japan Atr Kyoto Japan

ISBN: (纸本)9798331509293

A soft robot has a significant advantage regarding its locomotion that it can change its shape passively based on its path shape variations. In this study, we adopt reservoir computing (RC), a kind of recurrent neural network, to classify five types of path shapes based on the inner pressure in the flexible chambers of the developed robot. By using small sets of the time-varying pressure waveform, we found that RC with an appropriate number of neurons could accurately classify the path shapes. © 2025 IEEE.

关键词： Industrial robots

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A Physiological control for Artificial Heart Pump based on Adaptive Regulation of Heart Rate and the improved BAS Algorithm Optimization 3

A Physiological Control for Artificial Heart Pump based on A...

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2023 3rd international conference on electrical, Electronics, and computing Technology, EECT 2023

作者： Liu, Xin Qu, Hongyi Meng, Lingwei Huang, Chuangxin Ma, Pengfei Wang, Cong Wang, Qiuliang Ganjiang Innovation Academy Chinese Academy of Sciences Jiangxi Ganzhou341000 China University of Science and Technology of China Anhui Hefei230026 China Institute of Electrical Engineering Chinese Academy of Science Haidian Beijing100190 China

In order to solve the problem that the traditional artificial heart pump has poor dynamic bionic performance and cannot respond to blood perfusion in real time according to the patient's state, this paper proposes a new physiological control method based on adaptive adjustment of heart rate. Firstly, a coupled model of the cardiovascular circulatory system and artificial heart pump was established, and the correctness of the model is verified by hemodynamic simulation. Secondly, according to the model-free adaptive control theory, the artificial heart pump physiological control strategy for adaptive regulation of heart rate is designed, including pseudo partial derivative estimation algorithm and adaptive control law. Then, the parameters of the adaptive controller are optimized by the improved beetle antennae search algorithm. Finally, the auxiliary effect and dynamic performance of the adaptive control strategy are studied by numerical methods. The results show that the physiological control method based on adaptive regulation of heart rate realizes the adaptive modulation of heart rate and blood flow, which can meet the needs of blood perfusion in different states and help to promote the recovery of damaged heart. © Published under licence by IOP Publishing Ltd.

关键词： control theory

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Shallow Sleep control Management for Low-Power Rockets 9

Shallow Sleep Control Management for Low-Power Rockets

引用

9th international conference on Advances in Machinery, Materials science and engineering Applications, MMSE 2023

作者： Zhang, Ying Sun, Kai Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9781643684383

In this paper, a control method for shallow sleep management of low-power rockets is studied, and three sleep modes are verified for shallow sleep, and the optimal adaptation of shallow sleep of rockets with minimum power consumption of 16 watts is confirmed In different application environments, multi-mode operation with low power consumption is realized, so as to achieve the goal of long life under the requirements of long-term power up. The low-power mode can make the system run more stably, help reduce system losses, effectively reduce the volume and weight of power supply equipment, and improve the carrying capacity of the rocket. In order to achieve the purpose of low power consumption, based on the principle of 'high and low matching', the performance matching of chips of different performance levels at their optimal working points is analyzed, and the low-power chip architecture design under different computing power requirements is realized, and experimental verification is carried out. © 2023 The Authors.

关键词： Electric power supplies to apparatus

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Construct a Network Security Vulnerability Knowledge Graph Based on HPO-BiLSTM-CRF 8th

Construct a Network Security Vulnerability Knowledge Graph B...

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8th international conference on computing, control and Industrial engineering, CCIE 2024

作者： Sun, Ruihan Zhuang, Yi School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9789819769360

In order to solve the problems of scattered vulnerability information and weak correlation in current vulnerability analysis technology, this paper proposes a method based on HPO-BiLSTM-CRF, which uses the unique relational data structure of the knowledge graph to provide the ability to analyze problems from a relational perspective. Method for constructing network security vulnerability knowledge graph. Based on the public vulnerability data collected from relevant databases in the field of cyberspace security, an optimized bidirectional long short-term memory network and conditional random field fusion model HPO-BiLSTM-CRF was constructed to realize knowledge extraction and store the results in the Neo4j graph database. Comparative experimental results show that the knowledge graph construction method based on HPO-BiLSTM-CRF proposed in this article has the advantages of high efficiency and high accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Knowledge graph

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An adjustable active noise control algorithm based on Bark scale 6

An adjustable active noise control algorithm based on Bark s...

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2022 6th international conference on electrical, Mechanical and Computer engineering, ICEMCE 2022

作者： Su, Haitao Hu, Chunjing Chen, Jiaxuan Hu, Hongzhi Xu, Cuifeng School of Electronic Engineering and Automation Guilin University of Electronic Technology Guilin Guangxi China Guangxi Key Laboratory of Automatic Detecting Technology and Instruments Guili N University of Electronic Technology China

An adjustable active noise control algorithm is proposed based on human auditory perception. Because of the FELMS algorithm, the Bark scale decomposition is used for simulating the decomposition of the human ears to the acoustic signal, and the real time response of the human ears to the noise is calculated. Residual filter is designed based on this real-time response so that the noise reduction effect is more in line with the human beings auditory perception. In the meantime, the adjustment parameter is set to adjust the amplitude-frequency response of the designed residual filter so that the noise reduction effect can be adjusted artificially under the condition of preserving the noise characteristics. Computer simulation results show that, match with the convention FXLMS algorithm, the algorithm put forward in this paper makes the residual noise, and the original noise has a similar energy change trend in Barks. This algorithm makes the noise reduction effect more aligned with the human auditory perception. It can retain the noise characteristics and artificially adjust the noise reduction effect. © Published under licence by IOP Publishing Ltd.

关键词： Active noise control

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Integration and refinement of electrical power acquisition and marketing based on the Internet of Things 1

Integration and refinement of Electrical power acquisition a...

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1st IEEE international conference on Emerging Research in Computational science, ICERCS 2023

作者： Hussam, Ragheed Alkhafaji, Mohammed Ayad Rahim Alatba, Sura Hussain Ajeel Allami, Kadum Mohammed Al-Tahee, Mustafa Al-Farahidi University Medical Instruments Engineering Techniques Baghdad Iraq National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Al-Turath University College Computer Technologies Engineering Baghdad Iraq Al-Kitab University Department of Computer Engineering Technologies Kirkuk Iraq

ISBN: (纸本)9798350359756

In this age of rapid economic expansion and pervasive intelligence, intelligence collection regarding a country's energy grid is encouraged. The article proposes a system for gathering IoT device energy consumption data. Through investigating Power IoT and its connection to the Smart Grid, a data gathering system has three parts: smart metering, concentrators, and data management systems. The paper explains how the authors streamlined business processes by integrating the control terminal with the technical architecture and IT technologies underlying a cutting-edge cloud-based customer electrical power acquisition (EPA) construction. electrical power acquisition and marketing based on the Internet of Things (EPAM-IoT) proposes a method to alleviate the major data center's processing, storage, and handling of massive amounts of data by leveraging the Internet of Things (IoT). By optimizing the local processing of information and timely data management, this architecture can assist in lightening the data transfer burden over the channel. The proposed approach takes into account multiple factors while determining performance. IoT application energy efficiency can be improved using the GA method. The outcomes were achieved via the C++ programming methodology. The simulations show that the proposed EPAM-IoT system, which consists of an IoT module, a cloud computing model, and improved learning performance, outperforms the state-of-the-art methods. © 2023 IEEE.

关键词： Internet of things

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Asymmetrical Current Source Multilevel Inverter with Multicarrier PWM Strategies 1st

Asymmetrical Current Source Multilevel Inverter with Multica...

引用

1st international conference on Renewable Energy, Green computing, and Sustainable Development, REGS 2023

作者： Muruganandham, N. Suresh Padmanabhan, T. Department of Electrical Engineering Anna University Tamil Nadu Chennai India Department of EEE E.G.S. Pillay Engineering College Tamil Nadu Nagapattinam India

ISBN: (纸本)9783031586064

Because of lower stress in terms of rate of voltage, current, and harmonic content, most Inverters which include Multilevel are frequently used in applications like different power converters. This study primarily focuses on a new parallel H-bridge Current Source Multilevel Inverter (CSMLI) circuit arrangement for power system applications. The suggested circuit operates by coupling a DC source to the H-bridge CSI to produce the multi-level output current waveform. Othered power device count, inverter losses, and other novel features can be found in the suggested circuit. The effectiveness of the selected nine-level H-bridge CSI is evaluated through the MATLAB/Simulink program and a Multicarrier PWM control approach. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： MATLAB

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Enhancing Lightweight Face Information Detection Network with Multi-Clue Interaction and Part-Aware Supervision 25

Enhancing Lightweight Face Information Detection Network wit...

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25th international conference on Digital Image computing: Techniques and Applications, DICTA 2024

作者： Liu, Jing-Hong Chen, Yi Lee, Zer-Wei Hsu, Chih-Yuan Yen, Yu-Lun Hsiao, Pei-Yung Fu, Li-Chen National Taiwan University Department of Computer Science and Information Engineering Taipei Taiwan Automotive Research and Testing Center Taiwan National University of Kaohsiung Department of Electrical Engineering Kaohsiung Taiwan

ISBN: (纸本)9798350379037

In recent years, technologies related to intelligent vehicles have seen rapid development, making the design of driver monitoring systems that can operate on vehicles a critical area of focus. These systems analyze drivers' facial information to assess their attention status and ability to control the vehicle. In this paper, we propose a lightweight, multitask deep learning model for detecting head pose, gaze direction, and eye state from facial images. This model is specifically designed for integration into driver monitoring systems, aiming to determine whether the driver is focused on the road. To facilitate deployment on embedded vehicle devices, our approach leverages multitask learning with carefully designed task branches to create an efficient and lightweight system. Each task is supported by dedicated branches to ensure the extraction of necessary features, with part-aware supervision enhancing the focus on relevant facial regions. Additionally, clue features encode part-specific implicit knowledge, improving task-specific feature initialization and overall model performance. We evaluate our model using the AFLW2000, BIWI, Gaze360, and CEW datasets, demonstrating that our method achieves competitive performance with reduced parameter costs. Our results show superior performance under lightweight conditions compared to existing methods, demonstrating the effectiveness of our approach in real-world applications. © 2024 IEEE.

关键词： Face recognition

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Adaptive Tracking control for Nonlinear Time-Varying Input Delay System with Output Constraints 13

Adaptive Tracking Control for Nonlinear Time-Varying Input D...

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13th IEEE international conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Chen, Shuzong Wang, Shuaiting Jia, Cheng Hua, Changchu Yanshan University Department of Electrical Engineering China

ISBN: (纸本)9798350315196

In this paper, the thickness control problem of adaptive output feedback for the hydraulic automatic gague control (HAGC) system is studied. Firstly, a mathematical model of HAGC system of the cold rolling mill with time-varying measurement delay, output constraints and unknown external disturbances is established. Then time-varying measurement delay is converted into time-varying input delay, and auxiliary systems are constructed to compensate for the impacts of input delay. In addition, an asymmetric barrier Lyapunov function (BLF) is constructed for output constraints to improve transient performance. By utilizing backstepping technique and Lyapunov Krasovskii functional (LKF) stability theorem, it can be obtained that stability of the original system with adaptive output feedback controller and the auxiliary system separately. The proposed controller can ensure that all signals are semi-global ultimately uniformly bounded. Simulation results verify the effectiveness of the proposed control strategy. © 2023 IEEE.

关键词： Backstepping

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Cow’s Back Surface Segmentation of Point-Cloud Image Using PointNet++ for Individual Identification 16th

Cow’s Back Surface Segmentation of Point-Cloud Image Using ...

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16th international conference on Genetic and Evolutionary computing, ICGEC 2024

作者： Kyaw, Pyae Phyo Tin, Pyke Aikawa, Masaru Kobayashi, Ikuo Zin, Thi Thi Graduate School of Engineering Miyazaki Japan Organization for Learning and Student Development Miyazaki Japan Sumiyoshi Livestock Science Station Field Science Center Faculty of Agriculture University of Miyazaki 1-1 Gakuen Kibanadai-Nishi Miyazaki889-2192 Japan

ISBN: (纸本)9789819615308

An automatic cow health monitoring and management system cannot function effectively without an identification system in livestock farming. While 2D image-based computer vision currently achieves high accuracy in cow identification, its effectiveness can be significantly decreased by changes in lighting, environmental factors, and other limitations. To address these limitations, an identification system based on point-cloud images will be developed by using a combination of 3D TOF camera and 2D RGB camera. This system includes detection and segmentation stage, feature extraction stage, and identification stage. In this study, I focus on detecting and segmenting of cow back surface region from a point-cloud image using the PointNet+ + algorithm. Two segmentation models are trained and compared based on single-scale grouping (SSG) and multi-scale grouping (MSG) features. The extracted cow back surface region offers a rich set of features valuable for several applications, including individual cow identification, lameness detection, and body condition scoring. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image segmentation

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