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Fractional Order Ultra-Local Model-Based Sliding-Mode-Assissted Disturbance Observer and Model-Free Control

Fractional Order Ultra-Local Model-Based Sliding-Mode-Assiss...

引用

2024 International Conference Automatics and Informatics, ICAI 2024

作者： Zhang, Liuchang Wang, Haoping Tian, Yang Zhuang, Xincheng Azar, Ahmad Taher Ahmed, Saim Nanjing University of Science and Technology Dept. School of Automation Nanjing China Prince Sultan University Dept. Automated Systems & Soft Computing Lab Riyadh Saudi Arabia Prince Sultan University Dept. College of Computer and Information Sciences Riyadh Saudi Arabia

ISBN: (纸本)9798350353907

This paper puts forward a fractional order sliding-mode-assisted disturbance observer-based model-free control (FO-SAMDOMFC) methodology for fractional order system with disturbance. First, the system dynamic model is rewritten as a fractional order ultra-local model (ULM), and a SMADO is designed to estimate the lumped disturbance term. Then, A closed-loop control law is proposed on the basis of the ULM with the objective of guaranteeing the convergence of the tracking error. Next, a proof of the stability of the closed-loop system is given based on the fractional extension of Lyapunov's direct method. Finally, the simulation compared with other controllers based on MATLAB/Simulink is realized, and the simulation results validate the proposed method. © 2024 IEEE.

关键词： Sliding mode control

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A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning 11th

A Novel Multi-objective Evolutionary Algorithm Based on Spac...

引用

11th International Symposium on Intelligence Computation and Applications, ISICA 2019

作者： Wu, Xiaofang Li, Changhe Zeng, Sanyou Yang, Shengxiang School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Computer Science and Informatics De Montfort University LeicesterLE1 9BH United Kingdom

ISBN: (纸本)9789811555763

To design an effective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs;2) the loss of diversity due to paying so much attention to the convergence on domination-based MOEAs;3) the curse of dimensionality for many-objective optimization problems on grid-based MOEAs. This paper proposes an MOEA based on space partitioning (MOEA-SP) to address the above issues. In MOEA-SP, subspaces, partitioned by a k-dimensional tree (kd-tree), are sorted according to a bi-indicator criterion defined in this paper. Subspace-oriented and Max-Min selection methods are introduced to increase selection pressure and maintain diversity, respectively. Experimental studies show that MOEA-SP outperforms several compared algorithms on a set of benchmarks. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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The Influence of Knowledge Management Capabilities on Hospital Services Performance

The Influence of Knowledge Management Capabilities on Hospit...

引用

International Conference on information Management and Technology (ICIMTech)

作者： Johan Yohannes Kurniawan Sudiana Diego Fernando Cabezas Tapia Information Systems Department Systems Bina Nusantara University Jakarta Indonesia Interdepartmental Center of Embedded Systems of Automation and Computer Sciences Peter the Great St. Petersburg Polytechnic University Russia

Currently healthcare is one of the main problems in Indonesia, particularly with the primary care provided by hospitals. Problems that often occur at hospitals in Indonesia was shown from the high malpractice rate in Indonesia, this problem made public confidence to the hospital was decline, this is indicated by the increasing number of Indonesian citizens who choose to seek the treatment at the hospital in neighboring countries. The suspected problems related to the knowledge management capability of the hospital. This study aims to reveal the role of knowledge management capabilities on the performance of hospital services and provide a prototype system that can improve the knowledge management capabilities of the hospital. The sample for this study are hospitals located in Jakarta. Where the respondent is the head of the hospital. The research method that will be used in this research is qualitative and quantitative method. This research generated a framework strategy to improve knowledge management capability at hospital by looking at factors influencing knowledge management capability of hospital in Indonesia, especially Jakarta.

关键词： Hospitals Medical diagnostic imaging Knowledge management Personnel Organizations information systems

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Structural Health Monitoring in Wireless Sensor Networks by the Embedded Goertzel Algorithm

Structural Health Monitoring in Wireless Sensor Networks by ...

引用

IEEE/ACM International Conference on Cyber-Physical systems (ICCPS)

作者： Maurizio Bocca Janne Toivola Lasse M. Eriksson Jaakko Hollmén Heikki Koivo Department of Automation and Systems Technology School of Electrical Engineering Aalto University Helsinki Finland Department of Automation and Systems Technology School of Electrical Engineering Department of Information and Computer Science School of Science Aalto University Helsinki Finland

Structural health monitoring aims to provide an accurate diagnosis of the condition of civil infrastructures during their life-span by analyzing data collected by sensors. To this purpose, detection and localization of damages are fundamental tasks. This paper introduces a wireless sensor network for structural damage detection and localization in which the sensor nodes, in order to estimate the energies of specific frequency bands, process the acceleration data locally in real-time using the Goertzel algorithm. The nodes then share their results inside the network and exploit them to compute transmissibility functions, which can be exploited as damage indicators and for correctly localizing damages within the monitored structure. The use of the embedded Goertzel algorithm prevents the nodes from transmitting large volumes of acceleration data to the sink node for off-line analysis, reducing the latency and increasing the life time of the cyber-physical system by 80 % and 52 %, respectively. The tests performed on a truss structure confirm the capability of the distributed approach in correctly detecting and localizing structural damages.

关键词： Monitoring Wireless sensor networks Algorithm design and analysis Acceleration Accelerometers Real time systems Random access memory

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An intelligent system for Aerial image Retrieval and Classification

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3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Gasteratos, Antonios Zafeiridis, Panagiotis Andreadis, Ioannis Laboratory of Robotics and Automation Section of Production Systems Department of Production and Management Engineering Democritus University of Thrace Building of University’s Library Kimmeria XanthiGR-671 00 Greece Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Vassilisis Sophias 12 XanthiGR-671 00 Greece

ISBN: (纸本)3540219374

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy systems

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Adaptive nonlinear auto-associative modeling through manifold learning

引用

9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005

作者： Zhang, Junping Li, Stan Z. Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences China National Laboratory of Pattern Recognition Center for Biometrics and Security Research Institute of Automation Beijing 100080 China

ISBN: (纸本)3540260765

We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike traditional supervised manifold learning algorithm, the proposed ANAM algorithm has several advantages: 1) it implicitly embodies discriminant information because the suboptimal parameters of ANAM are determined based on error rate of the validation set. 2) it avoids the curse of dimensionality without loss accuracy because recognition is completed in the original space. Experiments on character and digit databases show that the advantages of the proposed ANAM algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Learning systems

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NutFrame: Frame-based Conceptual Structure Induction with LLMs 30

NutFrame: Frame-based Conceptual Structure Induction with LL...

引用

Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Guo, Shaoru Chen, Yubo Liu, Kang Li, Ru Zhao, Jun School of Computer and Information Technology Shanxi University Taiyuan China The Laboratory of Cognition and Decision Intelligence for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Shanghai Artificial Intelligence Laboratory Shanghai China

ISBN: (纸本)9782493814104

Conceptual structure is fundamental to human cognition and natural language understanding. It is significant to explore whether Large Language Models (LLMs) understand such knowledge. Since FrameNet serves as a well-defined conceptual structure knowledge resource, with meaningful frames, fine-grained frame elements, and rich frame relations, we construct a benchmark for coNceptual structure induction based on FrameNet, called NutFrame. It contains three sub-tasks: Frame Induction, Frame Element Induction, and Frame Relation Induction. In addition, we utilize prompts to induce conceptual structure of Framenet with LLMs. Furthermore, we conduct extensive experiments on NutFrame to evaluate various widely-used LLMs. Experimental results demonstrate that FrameNet induction remains a challenge for LLMs. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Frame Element Induction Frame Induction Frame Relation Induction FrameNet

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Stability analysis of network data flow control for dynamic link capacity case

引用

作者： Yang, Yuequan Li, Yaqin Tan, Min Yi, Jianqiang Wen, John T. Guo, Xuewu College of Information Engineering Yangzhou University Yangzhou 225009 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States Shanxi Jinyao Coking Co. Ltd. Shanxi 030001 China

ISBN: (纸本)3540372555

Much attention has been paid upon network data flow control in recent years. The main problem in this field is how to design good algorithm or control law for flow rate of network data flow sources and for updated price of communication links. Base on Lyapunov stability theory, this paper makes a deep analysis of stability of such network data flow control systems with the consideration of dynamic link capacity case. Simulations show that the stability analysis of dynamic link capacity of network data flow control system provided in the paper is enlightening and meaningful to further understand and design good control strategy of network data flow control problem. © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Flow control

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Signal Strength Based Ranging for Livestock Localization for Smart Farms 11

Signal Strength Based Ranging for Livestock Localization for...

引用

2023 IEEE 11th International Conference on information, Communication and Networks, ICICN 2023

作者： Tu, Chunling Du, Shengzhi Tong, Jigang Wang, Lushuo Plessis, Deon Du Tshwane University of Technology Department of Computer Systems Engineering Pretoria South Africa Tshwane University of Technology Department of Electrical Engineering Pretoria South Africa Tianjin University of Technology Electrical Engineering and Automation Tianjin China Tshwane University of Technology Department of Information Technology Pretoria South Africa

ISBN: (纸本)9798350314014

An intelligent livestock monitoring system has become increasingly popular for monitoring and managing animals in smart farms. Various technologies have been developed to localize the animals with wearable sensors. This paper addresses ranging from Received Signal Strength Indicator (RSSI). ESP32C3-Mini chips are used to construct the localization system, where both ear tags and base stations are built on these chips. Based on the distances captured by multiple base stations, triangulation is employed to estimate the position of the concerned tags. To improve the positioning accuracy, a weighted triangulation method is used. The advantage and distances of the proposed RSSI-based ranging method are discussed using real data. © 2023 IEEE.

关键词： Triangulation

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A Holistic Digital Twin Based on Semantic Web Technologies to Accelerate Digitalization 1st

A Holistic Digital Twin Based on Semantic Web Technologies t...

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1st European Advances in Digital Transformation Conference, EADTC 2018 and the 2nd European Advances in Digital Transformation Conference, EADTC 2019

作者： Moder, Patrick Ehm, Hans Jofer, Eva Am Campeon 1-15 Neubiberg85579 Germany Department of Mechanical Engineering Institute of Automation and Information Systems Technical University of Munich Boltzmannstr. 15 Garching85748 Germany Faculty of Electrical Engineering and Computer Science Technische Hochschule Ingolstadt Esplanade 10 Ingolstadt85049 Germany

ISBN: (纸本)9783030486013

This proposed research is concerned with the development of a Semantic Web representation of supply chains deploying and manufacturing semiconductors. The so-called digital twin is a prototype for virtualizing the electronic component supplier (ECS) value chain, aiming for a holistic digitalization across the entire product life cycle. With its unique advantages, Semantic Web will contribute to overcoming current Big Data issues and to getting one step closer to smart factories. This includes enhanced smart collaboration between both business and project partners. Furthermore, it is shown in first business use cases how the developed ontology is supporting selected applications to manage data more efficiently and to build a comprehensive knowledge representation. © The Author(s) 2020.

关键词： Big data

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