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2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012

作者： Wu, Bing-Fei Huang, Hao-Yu Wang, Jenq-Haur Chen, Yen-Lin Dept. of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Dept. of Computer Science and Information Engineering National Taipei University of Technology Taipei Taiwan

ISBN: (纸本)9783037856123

In this paper, a block-edge based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method is proposed and implemented on the DSP-based platform. SPPEZC combines two novel compression concepts which are Block-Edge Detection (BED) and Low-Complexity and Low-Memory Entropy Coder (LLEC) for the coding efficiency and quality. Besides, the proposed SPPEZC is implemented as fixed-point version and optimized on the DSP-based platform based on both the presented platform-independent and platform-dependent optimization technologies. The performance including compression quality and efficiency is validated by experimental results. © (2013) Trans Tech Publications, Switzerland.

关键词： Image compression

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Computing in cortical columns: Curve inference and stereo correspondence 1st

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1st IEEE International Workshop on Biologically Motivated computer Vision, BMCV 2000

作者： Zucker, Steven W. Center for Computational Vision and Control Dept. of Computer Science and Electrical Engineering Yale University New HavenCT United States

ISBN: (纸本)3540675604

In stereoscopic images, the behavior of a curve in space is related to the appearance of the curve in the left and right image planes. Formally, this relationship is governed by the projective geometry induced by the stereo camera configuration and by the differential structure of the curve in the scene. We propose that the correspondence problem- matching corresponding points in the image planes can be solved by relating the differential structure in the left and right image planes to the geometry of curves in space. Specifically, the compatibility between two pairs of corresponding points and tangents at those points is related to the local approximation of a space curve using an osculating helix. This builds upon earlier work on co-circularity, or the transport of tangents along the osculating circle. To guarantee robustness against small changes in the camera parameters, we select a specific osculating helix. A relaxation labeling network demonstrates that the compatibilities can be used to infer the appropriate correspondences in a scene. Examples on which standard approaches fail are demonstrated. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Cameras

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A multi-temporal classification of multi-spectral images using a neural network 12

A multi-temporal classification of multi-spectral images usi...

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12th IAPR International Conference on Pattern Recognition - Conference B: Pattern Recognition and Neural Networks, ICPR 1994

作者： Kamata, Sei-Ichiro Niimi, Michiharu Kawaguchi, Eiji Dept. of Computer Engineering Kyushu Institute of Technology Kitakyushu804 Japan Computer Science and Control Engr. Course Nagasaki Institute of Applied Science Nagasaki851-01 Japan

ISBN: (纸本)0818662700

The classification of remotely sensed multispectral data using classical statistical methods has been worked on for several decades. Recently there have been many new developments in neural network (NN) research, and many new applications have been studied. It is well known that NN approaches have the ability to classify without assuming a distribution. We have proposed an NN model to combine the spectral and spacial information of LANDSAT TM images. In this paper, we apply the NN approach with a normalization method to classify multi-temporal LANDSAT TM images in order to investigate the robustness of our approach. From our experiments, we confirmed that our approach is more effective for the classification of multi-temporal data than the original NN approach and maximum likelihood approach. © 1994 IEEE.

关键词： Maximum likelihood

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Enhanced Robustness for Pitch Pointing Flight Using Sliding Mode control

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IFAC Proceedings Volumes 1991年第1期24卷 369-374页

作者： M.E. Penati G. Bertoni C. Chen Electronics Computer Science and System Theory Dept. University of Bologna Viale Risorgimento 2 40136 Bologna Italy Dept. of Automatic Control Nanjing Aeronautical Institute Nanjing PRC

This paper proposes a methodology of combining eigenstructure assignment, feedforward gain with sliding mode control technique to realize an enhanced robust pitch pointing flight control system. This control system can track step input commands without error and it turns out to be consistently robust against parameter variations and external disturbances. The design methodology is illustrated by application to an AFTI/F-16 aircraft.

关键词： C.C.V. (A.C.T.) V.S.S. Sliding Mode Decoupling Robustness

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Fostering automatic control students to become innovators 19

Fostering automatic control students to become innovators

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19th IFAC World Congress on International Federation of automatic control, IFAC 2014

作者： Johnsson, Charlotta Yang, Qinmin Nilsson, Carl-Henric Jin, Jun Larsson, Andreas Warell, Anders Dept. of Automatic Control Lund University Lund Sweden Control Science and Engineering ZheJiang University Hangzhou China Business Adminstration Lund University Lund Sweden School of Management ZheJiang University Hangzhou China Dept. of Design Sciences Lund University Lund Sweden

ISBN: (纸本)9783902823625

Today, innovation is a key word for many universities, as it constitutes an important part of most universities' public and scientific outreach task. Many universities are striving to increase the number of innovations generated at the university. A common method is to provide various support for research projects e.g.;providing researchers with information about international patent rights (IPR), offering administrative or financial help concerning patent applications, giving entrepreneurship and start-up support, etc. However, fostering innovators and entrepreneurs can start already in undergraduate/graduate courses, i.e. long before a student potentially reaches the research level. We believe that key factors for success in this matter are diversity and freedom. A course that strives to promote innovation capability must allow for students with different backgrounds and different curricula to meet and work together, and must allow for students to freely use their current knowledge within new contexts. This is generally not a setting provided in traditional undergraduate/graduate courses. This article describes the execution and outcome of an graduate course "international Market-Driven Engineering (iMDE)" in which diversity and freedom are key factors. The course is international and multi-disciplinary in terms of students, teachers and subjects. Graduate students with prior knowledge in automatic control constitute one important part of the course population. We believe that the diversity amongst the students, and their freedom when it comes to both innovation process and product, provides a promising platform in which seeds of ideas can grow into conceptual prototypes that build a solid foundation for full-scale innovations. On of the iMDE-projects, the Elderly Accessible Chair, or EA Chair, with its automated scanning and automatic seat-provider functionality, is one concrete example of this. © IFAC.

关键词： Students

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Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions

arXiv

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arXiv 2022年

作者： Terpin, Antonio Lanzetti, Nicolas Yardim, Batuhan Dörfler, Florian Ramponi, Giorgia Automatic Control Laboratory ETH Zürich Switzerland Dept. of Computer Science ETH Zürich Switzerland Dept. of Computer Science ETH AI Center Switzerland

Policy Optimization (PO) algorithms have been proven particularly suited to handle the high-dimensionality of real-world continuous control tasks. In this context, Trust Region Policy Optimization methods represent a popular approach to stabilize the policy updates. These usually rely on the Kullback-Leibler (KL) divergence to limit the change in the policy. The Wasserstein distance represents a natural alternative, in place of the KL divergence, to define trust regions or to regularize the objective function. However, state-of-the-art works either resort to its approximations or do not provide an algorithm for continuous state-action spaces, reducing the applicability of the method. In this paper, we explore optimal transport discrepancies (which include the Wasserstein distance) to define trust regions, and we propose a novel algorithm – Optimal Transport Trust Region Policy Optimization (OT-TRPO) – for continuous state-action spaces. We circumvent the infinite-dimensional optimization problem for PO by providing a one-dimensional dual reformulation for which strong duality holds. We then analytically derive the optimal policy update given the solution of the dual problem. This way, we bypass the computation of optimal transport costs and of optimal transport maps, which we implicitly characterize by solving the dual formulation. Finally, we provide an experimental evaluation of our approach across various control tasks. Our results show that optimal transport discrepancies can offer an advantage over state-of-the-art approaches. Copyright © 2022, The Authors. All rights reserved.

关键词： Approximation algorithms

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Tuning the Feedback controller Gains is a Simple Way to Improve Autonomous Driving Performance

Tuning the Feedback Controller Gains is a Simple Way to Impr...

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UKACC International Conference on control (control)

作者： Wenyu Liang Pablo R. Baldivieso Ross Drummond Donghwan Shin Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. of Computer Science University of Sheffield Sheffield UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Typical autonomous driving systems are a combination of machine learning algorithms (often involving neural networks) and classical feedback controllers. Whilst significant progress has been made in recent years on the neural network side of these systems, only limited progress has been made on the feedback controller side. Often, the feedback control gains are simply passed from paper to paper with little re-tuning taking place, even though the changes to the neural networks can alter the vehicle's closed loop dynamics. The aim of this paper is to highlight the limitations of this approach; it is shown that re-tuning the feedback controller can be a simple way to improve autonomous driving performance. To demonstrate this, the PID gains of the longitudinal controller in the TCP autonomous vehicle algorithm are tuned. This causes the driving score in CARLA to increase from 73.21 to 77.38, with the results averaged over 16 driving scenarios. Moreover, it was observed that the performance benefits were most apparent during challenging driving scenarios, such as during rain or night time, as the tuned controller led to a more assertive driving style. These results demonstrate the value of developing both the neural network and feedback control policies of autonomous driving systems simultaneously, as this can be a simple and methodical way to improve autonomous driving system performance and robustness.

关键词： Machine learning algorithms Neural networks control systems Robustness Feedback control control theory Adaptive control

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Dengue Vector control Mobile Application: Architecture and Features 8

Dengue Vector Control Mobile Application: Architecture and F...

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8th International Conference on Business and Information Management, ICBIM 2024

作者： Jitnupong, Boonchoo Suraseing, Jaruwan Gumseda, Teerayuth Dept. of Computer Science and Information Faculty of Science at Sriracha Kasetsart University Sriracha Campus Chonburi Thailand The Office of Disease Prevention and Control 6 Chonburi Department of Disease Control Chonburi Thailand

ISBN: (纸本)9798350379099

Mobile applications have been developed for many domains, including the public health sector. They can be used to track disease outbreaks and provide real-time information. Herein, we present a mobile application integrated with a dengue fever surveillance initiative in Thailand called Dengue Manager Application. Smartphone-specific characteristics such as communication, location-based services, and notification systems are used with appropriate vector control such as insecticide spraying. The architecture and features of the app, for instance its scalability and maintainability, and its implementation are explained in detail. Model-View-controller was used in its development. Another important feature is the data layer comprising an on-premises database and cloud storage to collect the necessary data. The controller API that plays an essential role along with the user interface are also covered. We also make some suggestions concerning how to bundle the proposed application into a Thai Ministry of Public Health super app by its development into an API that another application can connect to. © 2024 IEEE.

关键词： Vector control (Electric machinery)

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Identification of Cancer Biomarkers for Multi-class Diagnostics through Network Analysis of RNAseq Data of Tumor-Educated Platelets

Identification of Cancer Biomarkers for Multi-class Diagnost...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Toccacieli, Ali Petti, Manuela Sapienza University of Rome MSc Program in Engineering in Computer Science Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9781665468190

Tumor-educated platelets (TEPs) are circulating blood cells with a distinct tumor-driven phenotype and act as carriers and protectors of metastases. To date, some studies have shown that the TEPs transcriptome can be used for cancer diagnostics. The objective of this study is to propose a procedure based on differential gene expression and differential gene co-expression analyses to identify a set of key genes for multi-class cancer diagnostics. To reach this aim, we analyzed RNA-seq data (57736 genes) of 130 subjects, of whom 40 patients with glioblastoma multiforme (GBM), 35 patients with pancreatic adenocarcinoma (PAAD), and 55 healthy donors (HC). We focused our analysis on the subset of differentially expressed genes (DEGs), and we used these genes to build and analyze the differential co-expression networks, identifying the hub genes. With this procedure, we obtained a restricted set of DEGs that maximize the accuracy in classifying patients according to their conditions (GBM, PAAD, or HC). Indeed, we validated our results by comparing the achieved classification accuracy with that resulting from random selections of DEGs and we obtained that genes selected by differential co-expression (DCE) network analysis have greater predictive power than any other set of differentially expressed genes, including using all of them. © 2022 IEEE.

关键词： Platelets

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State feedback optimal control with singular solution for a class of nonlinear dynamics 15

State feedback optimal control with singular solution for a ...

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15th International Conference on Informatics in control, Automation and Robotics, ICINCO 2018

作者： Giamberardino, Paolo Di Iacoviello, Daniela Dept. Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy Institute for Systems Analysis and Computer Science Antonio Ruberti Rome Italy

ISBN: (纸本)9789897583216

The paper studies the problem of determining the optimal control when singular arcs are present in the solution. In the general classical approach the expressions obtained depend on the state and the costate variables at the same time, so requiring a forward-backward integration for the computation of the control. In this paper, sufficient conditions on the dynamics structure are provided and discussed in order to have both the control and the switching function depending on the state only, so simplifying the computation avoiding the necessity of the backward integration. The approach has been validated on a classical SIR epidemic model. Copyright © 2018 by SCITEPRESS – science and Technology Publications, Lda. All rights reserved

关键词： State feedback

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