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2023 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2023

作者： Abedi, Hajar Ansariyan, Ahmad Morita, Plinio P Wong, Alexander Boger, Jennifer Shaker, George University of Waterloo Electrical and Computer Engineering Waterloo Canada University of Waterloo School of Public Health Sciences Waterloo Canada University of Waterloo System Design Engineering Waterloo Canada

ISBN: (纸本)9798350328264

This paper presents a mm-Wave radar-based system to create a novel method of tracking seniors and monitoring them using ambient wireless signals. Radar sensors, coupled with deep learning models, facilitate the identification of various physical activities without requiring physical contact or the use of wearable devices. The system employs range-Doppler maps derived from a real-life in-home activities dataset for training deep learning networks. The gated recurrent units (GRU) model is chosen for real-time implementation due to its optimal trade-off between speed and accuracy. The system achieves an overall accuracy of 93% for trained subjects, with 86% accuracy for classifying the in-home physical activities of a new subject. Additionally, the system captures the frequency of washroom use, sedentary, duration of sleep, active and out-of-home periods, the level of activity performed by the subject over a period of time, current activity state, and gait parameters. © 2023 IEEE.

关键词： activity recognition aging mm-wave radar personalized care sequential deep learning

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Error Dependent Sampling to Reduce Transient Events in Event Based Control 3

Error Dependent Sampling to Reduce Transient Events in Event...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Miguel-Escrig, Oscar Romero-Perez, Julio-Ariel Sanchez-Moreno, Jose Dormido-Bencomo, Sebastian Universitat Jaume I Department of System Engineering and Design Castelló de la Plana Spain Department of Computer Science and Automatic Control Madrid Spain

ISBN: (纸本)9798331540319

One of the objectives of event-based control is the reduction of generated events to perform an appropriate process control. Among the event generation techniques used to this end, those quantifying the error signal can be found more frequently for its simplicity of implementation. However, they entail a drawback in the form of trade-off between event generation and performance. Aiming to reduce the number of events, specifically in the transient response, without degrading the performance, an error dependent sampling scheme is studied in this work. © 2024 IEEE.

关键词： Electromagnetic transients

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Uniaxial stretch-induced axonal injury thresholds for axonal dysfunction and disruption and strain rate effects on thresholds for mouse neuronal stem cells

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Journal of Biomechanical Science and engineering 2017年第1期12卷 16-00598页

作者： Kurtoglu, Evrim Nakadate, Hiromichi Kikuta, Kazuhiro Aomura, Shigeru Kakuta, Akira Graduate School of System Design Tokyo Metropolitan University Tokyo Japan Advanced Course of Mechanical and Computer Systems Engineering Tokyo National College of Technology 1220-2 Kunugida-machi Hachioji-shi Tokyo193-0997 Japan

In this paper, the proposed study aims to achieve a better understanding of neuronal tolerance and contribute to the prediction of the secondary degeneration of diffuse axonal injury (DAI). Therefore, a uniaxial stretching device which subjected cultured neurons to uniaxial stretch was employed to evaluate the effect of strain and strain rate along axon to realize the injury threshold. Neurons differentiated from mouse neuronal stem cells were injured and the morphology was observed before and after stretching with strains of 0.10, 0.12, 0.18, 0.23 at strain rates of 8, 11, 19, 26 s-1 respectively. Results suggest that the threshold for axonal dysfunction is around 0.18 strain whereas the threshold for axonal disruption is around 0.23 and the results of strain rate effect investigations on axonal dysfunction and disruption around these threshold values indicated that higher strain rate values such as 50 s-1 may have diminishing effects on threshold for axonal disruption. © 2017 The Japan Society of Mechanical Engineers.

关键词： Stem cells

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A Hybrid Temporal-Magnitude Based Sampling for Event-Based Control 3

A Hybrid Temporal-Magnitude Based Sampling for Event-Based C...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Miguel-Escrig, Oscar Sanchez-Moreno, Jose Romero-Perez, Julio-Ariel Dormido-Bencomo, Sebastian Universitat Jaume I Department of System Engineering and Design Castelló de la Plana Spain Department of Computer Science and Automatic Control Madrid Spain

ISBN: (纸本)9798331540319

In the current industrial environment, which is shifting towards an event-based control prone paradigm, sampling strategies in use must be revisited. Both temporal and magnitude dependent sampling strategies have been demonstrated to be suitable for control systems, reporting benefits in different categories. However, these sampling strategies also present some drawbacks, discussed in this contribution. Aiming to address some of these drawbacks, a new sampling strategy is proposed gathering characteristics of both predecessors. © 2024 IEEE.

关键词： Decentralized control

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On Simulation for Fuzzy Control on Oxygen Concentration of the Mixed Air Supplied by Breathing Adjuster 34

On Simulation for Fuzzy Control on Oxygen Concentration of t...

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第三十四届中国控制会议

作者： SUN Hao WANG Shou-jun SUN Qing-lin Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System The College of Mechanical Engineering Tianjin University of Technology The College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics

ISBN: (纸本)9781467374439

The breathing adjuster is the core component of life support system of an aircraft and it is very important to control the valve to make the breathing adjuster supply the pilot the mixed air with the suitable oxygen concentration. In this paper the mathematical model, which describes the relation between the opening degree of the valve of the breathing adjuster and the flight altitude of the aircraft, is set up through analyzing requirement of aviation physiology and working principles of the breathing adjuster. Then a fuzzy controller is designed to control the opening degree of the valve in order to make the breathing adjuster supply to the pilot the mixed air with suitable oxygen concentration. Finally MATLAB Simulink is employed to verify the feasibility and validity of the fuzzy controlling approach. The results of simulating experiments show that the fuzzy control approach proposed in this paper can make the breathing adjuster supply the mixed air with suitable oxygen concentration to the pilot boarded on an aircraft.

关键词： Breathing adjuster,Oxygen concentration,the opening degree of the valve,Fuzzy control,Simulation

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Modal-power-based haptic motion recognition

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IEEJ Transactions on Industry Applications 2010年第4期130卷 477-484+11页

作者： Kasahara, Yusuke Shimono, Tomoyuki Kuwahara, Hiroaki Sato, Masataka Ohnishi, Kouhei Department of System Design Engineering Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan Division of Electrical and Computer Engineering Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama 240-8501 Japan

Motion recognition based on sensory information is important for providing assistance to human using robots. Several studies have been carried out on motion recognition based on image information. However, in the motion of humans contact with an object can not be evaluated precisely by image-based recognition. This is because the considering force information is very important for describing contact motion. In this paper, a modal-power-based haptic motion recognition is proposed;Modal power is considered to reveal information on both position and force. Modal power is considered to be one of the defining features of human motion. A motion recognition algorithm based on linear discriminant analysis is proposed to distinguish between similar motions. Haptic information is extracted using a bilateral master-slave system. Then, the observed motion is decomposed in terms of primitive functions in a modal space. The experimental results show the effectiveness of the proposed method. © 2010 The Institute of Electrical Engineers of Japan.

关键词： Motion estimation

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Backward inference in Bayesian networks for distributed systems management

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Journal of Network and systems Management 2005年第4期13卷 409-427页

作者： Ding, Jianguo Krämer, Bernd Bai, Yingcai Chen, Hansheng Software Engineering Institute East China Normal University Shanghai 200062 China Department of Electrical Engineering and Information Engineering FernUniversität Hagen Germany Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China East-china Institute of Computer Technology Shanghai China IEEE FernUniversität Hagen Germany International Society for Process and Design Sciences Shanghai Jiao Tong University China Shanghai Engineering Center of GOLDEN Network Shanghai Computer Open System Association East-China Institute of Computer Technology

The growing complexity of distributed systems in terms of hardware components, operating system, communication and application software and the huge amount of dependencies among them have caused an increase in demand for distributed management systems. An efficient distributed management system needs to work effectively even in face of incomplete management information, uncertain situations, and dynamic changes. In this paper, Bayesian networks are proposed to model dependencies between managed objects in distributed systems. The strongest dependency route (SDR) algorithm is developed for backward inference in Bayesian networks. The SDR algorithm can track the strongest causes and trace the strongest routes between particular effects and its causes, the strongest dependency of causes can be also achieved by the algorithm. Thus, the backward inference provides an efficient mechanism in fault locating, and is beneficial for performance management. © 2005 Springer Science+Business Media, Inc.

关键词： computer networks

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RTL delay macro-modeling with Vt and Vdd variability

RTL delay macro-modeling with Vt and Vdd variability

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2011 IEEE 6th International design and Test Workshop, IDT 2011

作者： Koyagi, Tatsuya Majzoub, Sohaib Fukui, Masahiro Saleh, Resve Department of VLSI System Design Ritsumeikan University Siga Japan Department of Electrical and Computer Engineering American University in Dubai Dubai United Arab Emirates Department of Electrical and Computer Engineering University of British Columbia BC Canada

ISBN: (纸本)9781467304689

Recent low-power design utilizes a variety of approaches for Vdd and Vt control to reduce dynamic and leakage power. It is important to be able to explore various low-power design options at a high-level early in the design process. Furthermore, process variation is becoming large and greatly affects the power and delay results. In particular, the delay analysis becomes very complicated and time-consuming with existing tools. This paper proposes a new efficient RTL delay macro-model to address these recent problems. The goal is to provide transistor-level accuracy at the RTL level with Vt and Vdd variability. It also includes the ability to handle PVT variations. The validation of the model is demonstrated by comparison with a circuit simulator and a timing verification tool. The experiments show this macro-model predicts the delay for variable Vdd and Vt with an accuracy of ±5% against HSPICE and ±10% against PrimeTime for a number of ITC'99 benchmark circuits. © 2011 IEEE.

关键词： SPICE

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Prediction Analysis of Greeting Gestures based on Data Augmentation and LSTM 23

Prediction Analysis of Greeting Gestures based on Data Augme...

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23rd International Conference on Machine Learning and Cybernetics, ICMLC 2024

作者： Wibow, Angga Wahyu Sato-Shimokawara, Eri Kurnianingsih Graduate School of System Design Tokyo Metropolitan University Department of Computer Science Tokyo Japan Politeknik Negeri Semarang Department of Electrical Engineering Semarang Indonesia

ISBN: (纸本)9798331528041

The field of Human Activity Recognition (HAR) is growing significantly in several areas but little research focuses on cultural behavior. How machine learning can explain human activity as a promotional tool in understanding cultural differences in a region is very challenging. Studies using Recurrent Neural Network (RNN), especially Long Short-Term Memory (LSTM), require large data when used to research human activity recognition. Using small data is a challenge when using LSTM. This study aims to determine which data augmentation is most appropriate when used using LSTM to predict Japanese greeting gestures, namely eshaku, keirei, saikeirei, waving hands, and Indonesian greeting gestures, namely the movement of bringing both hands together in front of the chest with a slight bow of the head. This study proposes to compare several data augmentations, namely jittering, scaling, permutation, cropping, reverse, time shifting, frequency domain, and synthetic data generation. We evaluate model performance using the Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and coefficient of determination (R2) metrics. The experimental results show that Time Shifting has the best MSE, RMSE, and MAE values compared to others and Frequency Domain has the best R2 values compared to others. This study concludes that Time Shifting and Frequency Domain are the best data augmentation methods when using LSTM in predicting greeting gestures using small data. These findings provide valuable insights into the effectiveness of various data augmentation methods in motion prediction tasks with limited data sets, as well as the importance of selecting appropriate data augmentation methods in human motion analysis. Future work could use data from two or more people using model explanations generated by machine learning and developing a new method for cultural behavior. © 2024 IEEE.

关键词： Mean square error

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design of four rotor unmanned aerial vehicle based on open CV 6

Design of four rotor unmanned aerial vehicle based on open C...

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6th Annual International Conference on computer Science and Applications, CSA 2020

作者： Tang, Lili Huang, Wei Jiang, Hongyang Zeng, Teng College of Computer and Information Engineering Zhixing College of Hubei University Wuhan430011 China System Design Institute of Hubei Aerospace Technology Academy Wuhan China

This design is based on the OpenCV technology of the four rotor UAV, mainly by the control module and image module of two parts. The control module contains a STM32 micro controller, it can generate multiple PWM to control the motor to produce basic movements, while the body is equipped with three axis acceleration of three axis gyroscope MPU-6050 module, electronic compass, barometer and wireless communication module, and use STM32 to read sensor data for gesture calculation and control motor action;The image module is equipped with a ARM Cortex-A53 processor, running the Python-OpenCV operating system in the embedded Linux environment, OpenCV implementation of the UAV aerial features, in addition, the onboard Wifi module can be accessed by SSH remote desktop to obtain detection images, which can be widely used in security monitoring, exploration engineering, home security and other fields. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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