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5th International Conference on Next Generation Mobile Applications, Services, and Technologies, NGMAST 2011

作者： Gonçalves, Alex Garcia De Martino, José Mario Dept. of Computer Engineering and Industrial Automation University of Campinas Campinas Brazil

ISBN: (纸本)9780769544960

This document presents the development of an extension to the SMS Service for Android smart phones, which adds audio and visual characteristics to this widely used communication service. With this solution, when a SMS message is received, it is read by a 3D avatar, who performs the liparticulatory movements and the emotional facial expressions synchronized with the audio corresponding to the content of the message. © 2011 IEEE.

关键词： Smartphones

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Data Efficient Safe Reinforcement Learning

Data Efficient Safe Reinforcement Learning

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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

作者： Padakandla, Sindhu Prabuchandran, J.K. Ganguly, Sourav Bhatnagar, Shalabh Indian Institute of Science Dept. of Computer Science and Automation India Iit Dharwad Dept. of Computer Science Engineering India

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Applying reinforcement learning (RL) methods for real world applications pose multiple challenges - the foremost being safety of the system controlled by the learning agent and the learning efficiency. An RL agent learns to control a system by exploring the available actions in various operating states. In some states, when the RL agent exercises an exploratory action, the system may enter unsafe operation, which can lead to safety hazards both for the system as well as for humans supervising the system. RL algorithms thus must learn to control the system respecting safety. In this work, we formulate the safe RL problem in the constrained off-policy setting that facilitates safe exploration by the RL agent. We then develop a sample efficient algorithm utilizing the cross-entropy method. The proposed algorithm's safety performance is evaluated numerically on benchmark RL problems. © 2022 IEEE.

关键词： Reinforcement learning

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Classification of brain ischemia and hemorrhagic stroke using a hybrid method 4

Classification of brain ischemia and hemorrhagic stroke usin...

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4th International Conference on Data Analytics for Business and Industry, ICDABI 2023

作者： Cinar, Necip Kaya, Buket Kaya, Mehmet Dicle University Dept. of Computer Engineering Diyabakir Turkey Firat University Dept. of Electronics and Automation Elaziǧ Turkey Firat University Dept. of Computer Engineering Elaziǧ Turkey

ISBN: (纸本)9798350369786

The availability of artificial intelligence applications has expanded with the development of extremely powerful computers. This speeds up the diagnosis of many ailments and allows for the application of effective treatments. This facilitates the work of numerous experts in the field of health, and more trustworthy outcomes are attained. Many researchers have started working in this topic as a result of how swiftly artificial intelligence has entered human life and the promising outcomes that have been obtained. The detection of brain strokes from CT images, which are the most prevalent in the world and a major threat to human life, is a field that is currently seeing a flurry of deep learning and machine learning-based approaches. This study attempted to distinguish between ischemic and hemorrhagic brain stroke types using CT images. Utilizing a hybrid methodology, multi-classification was carried out utilizing EfficientNetB0 and SVM model from ischemic, hemorrhagic, and normal brain CT images in our dataset. The purpose of this study is to demonstrate a higher classification performance by combining the feature extraction skills of deep learning networks with the classification capability of machine learning models. The ischemic, hemorrhagic, and normal CT images in our dataset were used to train the EfficientNet-B0 + SVM, EfficientNet-B0 + KNN, ResNet50 + SVM, ResNet50 + KNN, ResNet50, VGG19 + SVM, VGG19 + KNN, and VGG19 models. There was a triple classification. According to the study, the hybrid EfficientNet-B0 + SVM architecture had the highest load success rate. The model had 95.13%, 94.93, 95.06, and 94.94% accuracy, recall, precision, and F1 values, respectively. These findings demonstrated that the EfficientNet-B0 + SVM architecture is a highly effective method for classifying different types of brain strokes from CT images. © 2023 IEEE.

关键词： computerized tomography

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Towards an integration of different specification methods by using the viewpoint framework

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Journal of Integrated Design and Process Science 2002年第2期6卷 1-23页

作者： Enders, Bettina E. Heverhagen, Torsten Goedicke, Michael Tröpfner, Peter Tracht, Rudolf Specification of Software Systems Dept. of Mathematics and Computer Science Germany Automation Technology Dept. of Mechanical Engineering University of Essen Germany

In industrial interdisciplinary projects where engineers of different sorts have to work together, a framework is necessary in order to support such an interdisciplinary development process. For example, the design information created by the production automation engineer has to be set into relation to the software architecture the software designer has to produce which will control the automation plant. Such requirements result in the need to consistently integrate various specification methods and development processes performed during the various development stages. This contribution shows that such an integration of heterogeneous specification methods concerning the various heterogeneous components of production automation systems can be achieved using the ViewPoint framework. This framework provides an intuitive understanding of different specifications involved in the development process, on the one side. On the other side the ViewPoint framework allows for a consistent and correct integration of these specifications due to its existing formalization by distributed graph transformation. © 2001 Society for Design and Process Science.

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Improvement of Petzval field curvature in projector lens optimization design

Improvement of Petzval field curvature in projector lens opt...

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2012 International Symposium on Photonics and Optoelectronics, SOPO 2012

作者： Tsai, Cheng-Mu Fang, Yi-Chin Dept. of Computer and Communication KSU Tainan Taiwan Dept. of Mechanical and Automation Engineering NKFUST Kaohsiung Taiwan

ISBN: (纸本)9781457709111

This paper focuses on the improvement of the Petzval field curvature aberration that is induced by the lens curvature and refractive index. Most primary aberrations can be effectively corrected by using aspherical lens while the Petzval filed curvature regarded as intrinsic to an optical system cannot easy be corrected through the high order coefficient of aspherical lens. With the global optimization of the genetic algorithm (GA), this study applies the basic selection, crossover and mutation operator to optimize a group of lens curvatures and thicknesses so that not only the Petzval field curvature aberration is effectively improved but also the specification requirement is met in a projector system. © 2012 IEEE.

关键词： Ray tracing

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Using Mixed Reality for Development of Instruction for Industrial Unit Maintenance 24

Using Mixed Reality for Development of Instruction for Indus...

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24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Denisov, Maxim O. Yakovina, Irina N. Burov, Ilya O. Novosibirsk State Technical University Dept. of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798350336870

In modern complex manufacturing always rely on skilled workers. But training new specialists in complex tasks is an actual problem. In virtual simulation training can be done multiple times and without life risk. Nevertheless, training on the computer is not the same as in the physical world. Blend both ways of training can Mixed Reality. In this paper one of the variants of developing application-instruction for industrial unit maintenance in the form of Mixed Reality application is shown in detail. Used instruments and platforms, where key components were created, are presented. Software structure of the application is described as well as implementation of The State Machine design pattern. This pattern was adapted for application needs, code snippets are shown. The application software was written in the C sharp programming language. The instruction is an immersive training for future specialists. Operator is following the steps of the instructions using the user interface - main virtual panel. Virtual panel design prototype, its features and realization in application are demonstrated. To create an interface related design task was solved including functional components. The connection between essential components is described. Operator's work in application is also demonstrated. © 2023 IEEE.

关键词： Machine design

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An Algorithm for Developing a Digital Twin Model of an Industrial Facility Segment 24

An Algorithm for Developing a Digital Twin Model of an Indus...

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24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Karabanov, Dmitry O. Karabanova, Julia O. Yakovina, Irina N. Osipenko, Ivan V. Burov, Ilya O. Pronushkina, Anna N. Novosibirsk State Technical University Dept. of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798350336870

The article describes an algorithm for developing predictive models for a digital twin of a feedstock enrichment plant. The main results are summarized in this paper. The results obtained include: a generalized algorithm for the development of forecasting models, which can be used to create predictive models for digital twins using machine learning methods;the result of applying mathematical methods of preliminary selection of features for predictive models;the main results of the conducted experiments on the creation of predictive models based on linear regression without regularization, Lasso regression and random forest for regression;as well as predictive models obtained on a reduced feature space. The results of the experiments showed that the reducing number of features method taking into account the degree of their contribution to obtaining the predicted indicator, leads to a slight decrease in the quality of the model in accordance with the selected quality metrics;after screening out more than 70% of the initial features, it is possible to obtain interpreted models with a different composition of parameters and high accuracy. © 2023 IEEE.

关键词： E-learning

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An adaptive reliable transport protocol based on Automatic reSend reQuest(ASQ) technique for wireless sensor networks

An adaptive reliable transport protocol based on Automatic r...

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25th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2011

作者： Gilesh, M.P. Hansdah, R.C. Dept. of Computer Science and Engineering Government Engineering College Wayanad Kerala India Dept. of Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)9780769543383

There are many wireless sensor network(WSN) applications which require reliable data transfer between the nodes. Several techniques including link level retransmission, error correction methods and hybrid Automatic Repeat re- Quest(ARQ) were introduced into the wireless sensor networks for ensuring reliability. In this paper, we use Automatic resend request(ASQ) technique with regular acknowledgement to design reliable end-to-end communication protocol, called Adaptive Reliable Transport(ARTP) protocol, for WSNs. Besides ensuring reliability, objective of ARTP protocol is to ensure message stream FIFO at the receiver side instead of the byte stream FIFO used in TCP/IP protocol suite. To realize this objective, a new protocol stack has been used in the ARTP protocol. The ARTP protocol saves energy without affecting the throughput by sending three different types of acknowledgements, viz. ACK, NACK and FNACK with semantics different from that existing in the literature currently and adapting to the network conditions. Additionally, the protocol controls flow based on the receiver's feedback and congestion by holding ACK messages. To the best of our knowledge, there has been little or no attempt to build a receiver controlled regularly acknowledged reliable communication protocol. We have carried out extensive simulation studies of our protocol using Castalia simulator, and the study shows that our protocol performs better than related protocols in wireless/wire line networks, in terms of throughput and energy efficiency. © 2011 IEEE.

关键词： Reliability

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Federated TD Learning in Heterogeneous Environments with Average Rewards: A Two-timescale Approach with Polyak-Ruppert Averaging 63

Federated TD Learning in Heterogeneous Environments with Ave...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Naskar, Ankur Thoppe, Gugan Koochakzadeh, Abbasali Gupta, Vijay Indian Institute of Science Dept. of Computer Science and Automation Bengaluru India Purdue University Dept. of Electrical and Computer Engineering IN United States

ISBN: (纸本)9798350316339

Federated Reinforcement Learning (FRL) provides a promising way to speedup training in reinforcement learning using multiple edge devices that can operate in parallel. Recently, it has been shown that even when these edge devices have access to different dynamic models, an optimal convergence rate that has a linear speedup proportional to the number of devices is achievable. However, this result requires that the stepsize in the algorithm be chosen in a manner dependent on the unknown model parameters. Also, it applies only to a discounted setting, which has been argued to fit episodic tasks better than continuing control tasks. In this paper, we obtain finite-time bounds for heterogeneous FRL with average rewards. We show that the optimal convergence rate with a linear speedup is possible even with a universal stepsize choice, independent of the underlying dynamics. To achieve our result, we modify the existing one-timescale FRL method to a novel two-timescale variant that additionally incorporates iterate averaging. © 2024 IEEE.

关键词： Federated learning

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Robust fault detection and diagnosis for uncertain nonlinear systems

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Journal of Systems engineering and Electronics 2009年第5期20卷 1031-1036页

作者： Wang Wei Tahir Hameed Ren Zhang Zhou Kemin School of Automation Science and Electrical Engineering Beihang Univ. Beijing 100191 P. R. China Dept. of Electrical and Computer Engineering Louisiana State Univ. Baton Rouge LA 70803 USA

This paper considers robust fault detection and diagnosis for input uncertain nonlinear systems. It proposes a multi-objective fault detection criterion so that the fault residual is sensitive to the fault but insensitive to the uncertainty as much as possible. Then the paper solves the proposed criterion by maximizing the smallest singular value of the transformation from faults to fault detection residuals while minimizing the largest singular value of the transformation from input uncertainty to the fault detection residuals. This method is applied to an aircraft which has a fault in the left elevator or rudder. The simulation results show the proposed method can detect the control surface failures rapidly and efficiently.

关键词： nonlinear system robust fault detection and diagnosis singular value flight control system.

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