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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Slavíková, P. Mudrová, M. Procházka, A. Department of Computing and Control Engineering Institute of Chemical Technology Prague Czech Republic

ISBN: (纸本)9781424476527

Presented paper deals with processing of electron-microscope images of Picea Abies stomas. A stoma character strongly depends on the level of air pollution in the area where the tree grows - as the stoma epidermis covers with epiticular waxes to protect itself against the negative environmental influences. According to the level of incrustation it is possible to distinguish five classes of stoma structure. An automatic algorithm recognizing a degree of stoma damage, based on the microscopic image processing can be useful during the process of environmental assessment. This work is devoted to a solution of the problem of stoma evaluation by means of texture classification. There are two principles discussed in the paper: The first principle is based on gradient methods while the second one uses a wavelet transform. Possibilities of application of mentioned attitudes were investigated and the classification criteria distinguishing the stoma character were suggested, as well. The resulting algorithm was verified on a library of four hundred real images and achieved results were compared with an expert's sensual classification. Selected methods of image preprocessing as noise reduction, brightness correction and resampling were used as well. © 2010 IEEE.

关键词： Gradient methods

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Boundary-aware dynamic re-weighting for semi-supervised medial image segmentation

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Expert Systems with Applications 2025年 287卷

作者： Jiang, Weili Li, Jiawen Li, Yihao Wei, Xifei Huang, Jianping Quellec, Gwenolé Si, Weixin Ou, Chubin School of Computing and Artificial Intelligence Southwest Jiaotong University Sichuan Chengdu China Norla Institute of Technical Physics Chengdu China United Imaging Healthcare Shanghai China Weizhi Meditech Co. Ltd. Guangdong Foshan China LaTIM UMR 1101 Inserm Brest France Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology China Guangdong General Hospital Guangdong Guangzhou China

Different from traditional semi-supervised learning (SSL), semi-supervised medical image segmentation faces two significant challenges: (1) the imbalanced distribution of labeled data causes models to bias towards majority classes;(2) the distribution discrepancy between labeled and unlabeled samples induces confirmation bias in pseudo-labels. Inspired by clinical practice, where experienced doctors utilize intrinsic features from the interior of target organs to clarify ambiguous boundaries and focus on minority classes, we propose a novel boundary-aware dynamic re-weighting network (BDRN). First, we utilize edge filters to generate visually different but semantically aligned views, compelling two sub-networks to learn informative features from organ interiors and boundaries, respectively. Second, we extract the boundary and interior regions using morphological operators and introduce a shape constraint to enhance feature learning. Additionally, a conflict-adversarial module promotes segmentation consistency between different views. Finally, we propose a dynamic re-weighting strategy based on the effective number to improve attention to imbalanced classes. Experiments demonstrate that our method significantly improves segmentation performance, achieving state-of-the-art results on CT and MR images. Ablation studies further confirm the efficacy of boundary consistency constraints and dynamic re-weighting. The segmentation Dice score for minority organs (e.g., esophagus) on the Synapse dataset is improved by 17.1 %, 46.2 %, and 49.4 % using 10 %, 20 %, and 40 % labeled data, respectively. © 2025 Elsevier Ltd

关键词： Conflict-adversarial module Edge-conflict consistency Effective-number-based re-weighting Soft-boundarization

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Software for Small-scale Robotics: A Review

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International Journal of Automation and computing 2018年第5期15卷 515-524页

作者： Tobias Tiemerding Sergej Fatikow Department of Computing Science Division Microrobotics and Control Engineering (AMiR) University of Oldenburg OFFIS–Institute for Information Technology R&D Division Automation and Integration Technology (AIT)

In recent years, a large number of relatively advanced and often ready-to-use robotic hardware components and systems have been developed for small-scale use. As these tools are mature, there is now a shift towards advanced applications. These often require automation and demand reliability, efficiency and decisional autonomy. New software tools and algorithms for artificial intelligence（AI） and machine learning（ML） can help here. However, since there are many software-based control approaches for small-scale robotics, it is rather unclear how these can be integrated and which approach may be used as a starting point. Therefore, this paper attempts to shed light on existing approaches with their advantages and disadvantages compared to established requirements. For this purpose, a survey was conducted in the target group. The software categories presented include vendor-provided software, robotic software frameworks（RSF）, scientific software and in-house developed software（IHDS）. Typical representatives for each category are described in detail, including Smar Act precision tool commander, Math Works Matlab and national instruments Lab VIEW, as well as the robot operating system（ROS）. The identified software categories and their representatives are rated for end user satisfaction based on functional and non-functional requirements, recommendations and learning curves. The paper concludes with a recommendation of ROS as a basis for future work.

关键词： Robotic control software engineering micro/nano robotics artificial intelligence （AI） machine learning （ML） open

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Exploring Dynamics of Open Quantum Systems in Naturally Inaccessible Regimes

arXiv

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arXiv 2025年

作者： Gu, Xu-Ke Tan, Li-Zhou Nori, Franco You, J.Q. Zhejiang Key Laboratory of Micro-Nano Quantum Chips and Quantum Control School of Physics State Key Laboratory for Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China Theoretical Quantum Physics Laboratory Cluster for Pioneering Research RIKEN Saitama Wakoshi351-0198 Japan Center for Quantum Computing RIKEN Saitama Wakoshi351-0198 Japan Quantum Research Institute The University of Michigan Ann ArborMI48109-1040 United States College of Optical Science and Engineering Zhejiang University Hangzhou310027 China

Markovian open quantum systems are governed by the Lindblad master equation where the dissipation contains two parts, i.e., the anti-Hermitian operator and the quantum jumps, which share a common dissipation rate. We generalize the Lindblad master equation via postselection to a generalized Liouvillian formalism in which the effective damping rate of the anti-Hermitian operator can be different from the quantum jump rate. Our formalism provides a parameter space with regimes inaccessible in naturally-occurring systems. We explore these new regimes and find several interesting results including negative damping rates and generalized Liouvillian exceptional points. In a previously unexplored zero-damping Liouvillian regime where the damping rate is negligible, we investigate the effect only due to the quantum jumps and show an unusual polynomial decay of the excited state. This generalized Liouvillian formalism offers opportunities to explore novel phenomena and quantum technologies associated with the peculiar behavior of quantum jumps. Copyright © 2025, The Authors. All rights reserved.

关键词： Damping

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Distributed Adaptive Fault-Tolerant Output Regulation of Heterogeneous Multi-Agent Systems With Coupling Uncertainties and Actuator Faults

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1098-1106页

作者： Chao Deng Weinan Gao Weiwei Che the School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore the Department of Electrical and Computer Engineering Allen E.Paulson College of Engineering and ComputingGeorgia Southern UniversityStatesboroGA 30460 USA the State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou 310027 the Institute of Complexity Science Qingdao UniversityQingdao 266071China

In this paper, we consider the distributed adaptive fault-tolerant output regulation problem for heterogeneous multiagent systems with matched system uncertainties and mismatched coupling uncertainties among subsystems under the influence of actuator faults. First, distributed finite-time observers are proposed for all subsystems to observe the state of the exosystem. Then, a novel fault-tolerant controller is designed to compensate for the influence of matched system uncertainties and actuator faults. By using the linear matrix inequality technique, a sufficient condition is provided to guarantee the solvability of the considered problem in the presence of mismatched coupling uncertainties. Moreover, it is shown that the system in closed-loop with the developed controller can achieve output regulation by using the Lyapunov stability theory and cyclic-small-gain ***, a numerical example is given to illustrate the effectiveness of the obtained result.

关键词： Adaptive control cyclic-small-gain fault-tolerant control multi-agent systems(MASs)

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The propositional normal default logic and the finite/infinite injury priority method

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Science China(Information Sciences) 2017年第9期60卷 99-108页

作者： Wei LI Yuefei SUI Yuhui WANG State Key Laboratory of Software Development Environment Beihang University Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of Sciences School of Computer and Control Engineering University of Chinese Academy of Sciences

In propositional normal default logic, given a default theory(?, D) and a well-defined ordering of D, there is a method to construct an extension of(?, D) without any injury. To construct a strong extension of(?, D) given a well-defined ordering of D, there may be finite injuries for a default δ∈ D. With approximation deduction ?s in propositional logic, we will show that to construct an extension of(?, D) under a given welldefined ordering of D, there may be infinite injuries for some default δ∈ D.

关键词： default extension strong extension finite/infinite injury priority method recursively enumerable sets

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Research on UAV-Based Mars Topography Mapping and 3D Reconstruction System 11th

Research on UAV-Based Mars Topography Mapping and 3D Reconst...

引用

11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Chen, Long Zhao, Pin Chen, Huajun Liu, Xintan Beijing Institute of Control Engineering Beijing China North China Institute of Computing Technology Langfang China Beijing Institute of Spacecraft Environment Engineering Beijing China

ISBN: (纸本)9789819721153

The 3D reconstruction technology is of great significance for the research of Martian topography. In this paper, an unmanned aerial vehicle (UAV) based Mars topography mapping and 3D reconstruction system is proposed. In the system, an on-board range-visual-inertial odometry (on-board range-VIO) is applied to solve UAV navigation and flight path planning problems. The pictures of simulated Mars topography are photted. Images are processed and 3D model is reconstructed by applying high-performance computing unit (HPCU). By building an experimental system on the ground and conducting flight simulation and 3D reconstruction experiments, the effectiveness of the system was verified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Topography

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Expert control of Vacuum Pan Crystallization

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IEEE control Systems 1994年第5期14卷 28-34页

作者： Michal, Jan Kmínek, Milos Kmínek, Pavel Department of Computing and Control Engineering Prague Institute of Chemical Technology Technicka 5 166 28 Praha 6 Czech Republic

Vacuum pan crystallization is a process that is very difficult to control by classical means. This paper presents a method of using a rule-based expert system for the control of such a process. The structure of the expert controller for adjusting the characteristic conductivity is shown to consist of a diagnostic expert system and a discrete dynamic model that is used for conversion of semantic results into numeric output values. The expert controller was implemented in the sugar factory in Lovosice in 1993.< >

关键词： Crystallization Feeds Sugar industry Automatic control Diagnostic expert systems control systems Production facilities Crystals Solids Temperature measurement

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Soil-Available Potassium Content Measurement Based on Nernst Informed Neural Network With Electrical Signal

IEEE Transactions on AgriFood Electronics

引用

IEEE Transactions on AgriFood Electronics 2025年

作者： Sun, Mingchun Zhao, Rongqiang Liu, Hongfang Jin, Jing Liu, Jie Harbin Institute of Technology Faculty of Computing Harbin150001 China National Key Laboratory of Smart Farm Technologies and Systems Harbin150001 China Heilongjiang Academy of Agriculture Science Jiamusi154000 China Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China

Soil-available potassium content is essential for agricultural crop management. The electrochemical measurement method exhibits advantages of high speed, low cost, and simple operation. However, it encounters challenges, such as poor signal reproducibility, limited sample accessibility, and restrictions on measurement accuracy. To address these issues, the Nernst informed neural network (NINN)-based electrochemical measurement of soil-available potassium content is proposed. The framework for the electrochemical soil-available potassium content measurement is established. The proposed method is developed to exploit the nonlinear relationship between the electrical signal and the soil-available potassium content end-to-end with a single potassium ions-selective electrode. The NINN in the proposed method is developed to improve the measurement accuracy on the dataset with a limited number of samples by integrating Nernst mechanism into the network. The potassium-content dynamic estimation in the proposed method is developed to overcome the uncertainties of the dilution factor and influence of interfering ions. The practical measurement exhibits the mean absolute percentage error in a low range and the time within 10 min. Experimental results demonstrate that the proposed method improves the accuracy compared to purely data-driven models and reduces the electrochemical measurement costs. Furthermore, the proposed method also exhibits the superiority in terms of measurement speed;operational complexity compared to the commercial products relied on spectroscopy. The proposed method can contribute to the advancement of the measurement of soil nutrients. © 2023 IEEE.

关键词： Crops

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THE TEACHING OF ELECTRONIC engineering-RELATED SUBJECTS IN THE UKRAINE

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INTERNATIONAL JOURNAL OF ELECTRICAL engineering EDUCATION 1993年第1期30卷 28-32页

作者： SACHENKO, AA GIBSON, I Department of Information Computing Systems and Control Ternopol Institute of National Economy Ukraine Department of Manufacturing Engineering and Operations Management University of Nottingham England

The recent developments in Eastern Europe have allowed Western countries to influence the development of engineering in the Ukraine. This paper deals with the Department of Information computing Systems and control in the institute of National Economy, Ternopol. Their course structure is discussed along with plans for the future.

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