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International Conference on computer Supported Cooperative Work in Design

作者： Chundong Wang Yue Li Tianjin University of Technology Tianjin China National Engineering Laboratory for Virus Prevention and Control Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin China

Database watermarking plays an irreplaceable role in copyright authentication and data integrity protection, but the robustness of the watermark and the resulting data distortion are a pair of contradictory objects that cannot be ignored. To solve this problem, a reversible database watermarking method, named IGADEW, is proposed to balance the relationship between them. The biggest difference from previous research is that IGADEW synthesizes the optimization objects and obtain various parameters through genetic algorithm (GA). Second, the fitness function considers the weights of robustness and distortion, aiming to find the optimal balance between the two. IGADEW uses the Hash-based Message Authentication Code (HMAC) algorithm to encrypt the experimental parameters and uses the primary key hash algorithm for data grouping, both to ensure robustness. And the data distortion is limited with the help of threshold constraints. Finally, experiments using the UCI dataset demonstrate the effectiveness of IGADEW. Experimental results show that, compared with existing methods, IGADEW is more robust against common attacks, with lower data distortion.

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A NEW TWO-COMPONENT SASA–SATSUMA EQUATION: LARGE-TIME ASYMPTOTICS ON THE LINE

arXiv

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arXiv 2023年

作者： Zhao, Xiaodan Wang, Lei School of Control and Computer Engineering North China Electric Power University Beijing102206 China School of Mathematics and Physics North China Electric Power University Beijing102206 China

We consider the initial value problem for a new two-component Sasa–Satsuma equation associated with 4 × 4 Lax pair with decaying initial data on the line. By utilizing the spectral analysis, the solution of the new two-component Sasa–Satsuma system is transformed into the solution of a 4 × 4 matrix Riemann–Hilbert problem. Then the long-time asymptotics of the solution is obtained by means of the nonlinear steepest descent method of Deift and Zhou for oscillatory Riemann–Hilbert problems. We show that there are three main regions in the half-plane −∞ 0, where the asymptotics has qualitatively different forms: a left fast decaying sector, a central Painlevé sector where the asymptotics is described in terms of the solution of a new coupled Painlevé II equation which is related to a 4 × 4 matrix Riemann–Hilbert problem, and a right slowly decaying oscillatory sector. Copyright © 2023, The Authors. All rights reserved.

关键词： Steepest descent method

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Using the Pre-Large Concept for Maintaining High Fuzzy Utility Itemsets

Using the Pre-Large Concept for Maintaining High Fuzzy Utili...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Tzung-Pei Hong Wei-Teng Hung Yu-Chuan Tsai Wei-Ming Huang Department of Computer Science and Information Engineering National University of Kaohsiung Kaohsiung Taiwan Department of Computer Science and Engineering National Sun Yat-Sen University Kaohsiung Taiwan Library and Information Center National University of Kaohsiung Kaohsiung Taiwan Department of Electrical and Control China Steel Inc. Kaohsiung Taiwan

Utility mining is a popular research field in data mining. It uses item utilities and quantities to fit more into real applications. Fuzzy utility mining has also been proposed to reflect the linguistics of human perceptron for item association. In the past, we proposed a fast-up date-based (FUP-based) approach to maintain high fuzzy utility itemsets for continuously coming transaction data. This paper proposes an algorithm that applies the pre-large strategy on fuzzy utility mining to raise the maintenance performance. Nine cases are considered to maintain the current high fuzzy utility itemsets based on the fuzzy upper-bound utility. The results of the numerical experiments show that our proposed algorithm has better efficiency than the batch and the FUP-based approach in the execution time.

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Approximate state estimation with large-scale sensor networks under event-based sensor scheduling strategy

Approximate state estimation with large-scale sensor network...

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IEEE Conference on Decision and control

作者： Xinhui Liu Meiqi Cheng Dawei Shi Ling Shi MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing Institute of Technology Beijing China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

In this paper, we investigate the issues of real-time sensor scheduling and state estimator design within large-scale sensor network systems. Specifically, data redundancy sometimes occurs in large-scale sensor arrays due to the excessive proximity of sensing units in the spatial domain, leading to high similarity in their measurement data. Currently, it is difficult to account for such redundancy in sensor scheduling algorithms found in existing literature, where the optimal subset of sensors is generally selected by optimizing objective functions formulated from certain performance criteria. To tackle this problem, we introduce an event-based sensor scheduling strategy, the triggering condition of which is designed founded on the similarity of sensor data, so as to identify the most informative subset of sensors for state estimation. To evaluate the impact of the sensor scheduling protocol on system observability, we propose a new notion of $\mathscr{E}(\varepsilon)$-observability, based on which an observability criterion is derived. In addition, we have designed a set-valued state estimation algorithm, which takes into account the intricate measurement information structure inherent within the sensor selection mechanism. The performance enhancement of the proposed estimator is also investigated. Finally, numerical experiments are conducted to validate the effectiveness of the proposed estimation algorithm and to verify the performance improvement.

关键词： Protocols Event detection Scheduling algorithms Redundancy Approximation algorithms Real-time systems Sensors State estimation Observability Sensor arrays

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Physical and mental health of university staff during the Covid-19 pandemic

Physical and mental health of university staff during the Co...

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IEEE International Conference on Big Data

作者： Alessandra Colombelli Greta Temporin Francesco Serraino Tania Cerquitelli Department of Production and Management Engineering (DIGEP) Politecnico di Torino Turin Italy Department of Control and Computer Engineering (DAUIN) Politecnico di Torino Turin Italy

ISBN: (纸本)9781665480468

The 2020 Covid-19 pandemic caused a sudden and massive change in work organizations. One of the major consequences of the crisis was the acceleration towards teleworking, through the specific phenomenon of Mandatory Work From Home: the situations in which workers overnight found themselves to work seven days a week from their home environment, constantly online, often without adequate equipment and little to no preparation. Different workers reacted in different way to this important change, depending on age, gender, family characteristics and other impacting factors. Mandatory work from home and these other variables impacted employees’ physical and mental health, triggering or increasing symptoms of overwork and emotional exhaustion among others. This paper contributes to the literature on the impact of the pandemic on workers’ health by giving an overview of the effects of MWFH on university staff, using Politecnico di Torino as a case study.

关键词： COVID-19 Pediatrics Correlation Pandemics Teleworking Mental health Organizations

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A Novel Switching Asynchronous Sampled-Data Scheme: Implementations in Interconnected Feedback Systems

A Novel Switching Asynchronous Sampled-Data Scheme: Implemen...

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American control Conference (ACC)

作者： Xiaoyu Wang Feng Xiao Qian Feng State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

Sampled-data control is continually under research exploration and development to optimally coordinate the limited communication resources in networked control systems. In this paper, a novel switching asynchronous sampleddata framework with double-checking consisting of two distinct sampling schemes is proposed. An established method involves designing the switching sampling scheme with event-triggered and time-triggered mechanisms. We also introduce the concept of switching event-triggered control (SETC), by which a positive minimum sampling interval can be guaranteed effectively. By an integral method and Barbalat's Lemma, sufficient conditions that ensure the stability of interconnected linear systems are derived under the SETC. Numerical examples are presented to demonstrate the effectiveness of the proposed methodology.

关键词： Linear systems Sufficient conditions Networked control systems Delay effects Switches Trajectory Numerical stability

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HISTORIAE, history of socio-cultural transformation as linguistic data science. A humanities use case 3

HISTORIAE, history of socio-cultural transformation as lingu...

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3rd Conference on Language, Data and Knowledge, LDK 2021

作者： Armaselu, Florentina Apostol, Elena-Simona Khan, Anas Fahad Liebeskind, Chaya McGillivray, Barbara Truică, Ciprian-Octavian Oleškevičiene, Giedre Valūnaite University of Luxembourg Luxembourg Department of Computer Science and Engineering Faculty of Automatic Control and Computer University Politehnica of Bucharest Romania Institute for Computational Linguistics «A. Zampolli» National Research Council of Italy Pisa Italy Department of Computer Science Jerusalem College of Technology Israel Theoretical and Applied Linguistics Faculty of Modern and Medieval Languages and Linguistics University of Cambridge United Kingdom The Alan Turing Institute London United Kingdom Department of Computer Science and Engineering Faculty of Automatic Control and ComputerUniversity Politehnica of Bucharest Romania Institute of Humanities Mykolas Romeris University Vilnius Lithuania

ISBN: (纸本)9783959771993

The paper proposes an interdisciplinary approach including methods from disciplines such as history of concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative framework for detecting semantic change in multilingual historical corpora and generating diachronic ontologies as linguistic linked open data (LLOD). Initiated as a use case (UC4.2.1) within the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, the study will explore emerging trends in knowledge extraction, analysis and representation from linguistic data science, and apply the devised methodology to datasets in the humanities to trace the evolution of concepts from the domain of socio-cultural transformation. The paper will describe the main elements of the methodological framework and preliminary planning of the intended workflow. © Florentina Armaselu, Elena-Simona Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truică, and Giedre Valūnaite Oleškevičien e;licensed under Creative Commons License CC-BY 4.0

关键词： Linguistics

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Temperature Measurement of Circulating Fluidized Bed Based on Cloud Model Spatiotemporal Fusion

Temperature Measurement of Circulating Fluidized Bed Based o...

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第43届中国控制会议

作者： Yu Mo Yajie Hou Wenjun Wang Xiaojuan Han Guoneng Zhishen Control Technology Co. Ltd. State Nuclear Power Planning and Design Institute Co. Ltd. Ping An District Power Supply Company of Haidong State Grid Qinghai Electric Power Company School of Control and Computer Engineering North China Electric Power University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Accurate measurement of bed temperature is a prerequisite for ensuring the safe and stable operation of circulating fluidized beds.A temperature measurement method of circulating fluidized beds based on cloud model spatiotemporal fusion is proposed,according to the layout characteristics of measurement points in the circulating fluidized bed temperature measurement *** one-dimensional forward cloud generator is used to generate normal cloud droplet distribution curves for the bed temperature of the front and rear walls,after the gross errors are eliminated by data consistency testing,the bed temperature data of the front and rear walls in time and space is fused by the cloud model *** effectiveness of the method proposed in this paper is verified through simulation analysis of actual operating data of a circulating fluidized bed power *** simulation results show that the method proposed in this paper significantly improves the accuracy of circulating fluidized bed temperature measurement,which can effectively reduce the safety hazards caused by boiler bed temperature being too high or too low.

关键词： Circulating fluidized bed Spatiotemporal fusion Cloud model Consistency check

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Time series generator adversarial network with stochastic process for the degradation generation and prediction

Time series generator adversarial network with stochastic pr...

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Data Driven control and Learning Systems (DDCLS)

作者： Anqi Shangguan Nan Feng Lingxia Mu Rong Fei Xinhong Hei Guo Xie Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China School of computer science and Engineering Xi'an University of Technology Xi'an China

Since the cumbersome collection process and high cost, the collected degradation of the product is basically small samples, which will affect the accuracy of reliability evaluation. It is necessary to expand the degradation to improve the accuracy of later reliability assessment. Therefore, a degradation generation and prediction method is proposed combining the time series generator adversarial network (TimeGAN) and stochastic process. Firstly, the input degradation is expanded by the sliding window to improve the later training accuracy; Then, the construction of the generator in TimeGAN is linked with the stochastic process to make the generation data more realistic. Finally, the results of degradation prediction by the Gated Recurrent Unit (GRU) can be obtained. Two datasets and different generation methods are adopted to evaluate the effectiveness of the proposed method. The results shows that the Kullback-Leibler(KL) divergence is the smallest, and the prediction error is the smallest compared with the other methods. So, the proposed method is proved that it is valid in the degradation generation and prediction, and can be used for the further reliability assessment of the product in the industrial system.

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Learning of Nash Equilibria in Risk-Averse Games

Learning of Nash Equilibria in Risk-Averse Games

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American control Conference (ACC)

作者： Zifan Wang Yi Shen Michael M. Zavlanos Karl H. Johansson Division of Decision and Control Systems School of Electrical Enginnering and Computer Science KTH Royal Institute of Technology and also with Digital Futures Stockholm Sweden Department of Mechanical Engineering and Materials Science Duke University Durham NC USA

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This paper considers risk-averse learning in convex games involving multiple agents that aim to minimize their individual risk of incurring significantly high costs. Specifically, the agents adopt the conditional value at risk (CVaR) as a risk measure with possibly different risk levels. To solve this problem, we propose a first-order risk-averse leaning algorithm, in which the CVaR gradient estimate depends on an estimate of the Value at Risk (VaR) value combined with the gradient of the stochastic cost function. Although estimation of the CVaR gradients using finitely many samples is generally biased, we show that the accumulated error of the CVaR gradient estimates is bounded with high probability. Moreover, assuming that the risk-averse game is strongly monotone, we show that the proposed algorithm converges to the risk-averse Nash equilibrium. We present numerical experiments on a Cournot game example to illustrate the performance of the proposed method.

关键词： Reactive power Costs Estimation Games Nash equilibrium Numerical simulation Cost function

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