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2012 6th IEEE International Conference Intelligent systems, IS 2012

作者： Ojleska, Vesna Kolemishevska-Gugulovska, Tatjana Dymirkovsky, Gyorgyi SS Cyril and Methodius University in Skopje Faculty of Electrical Eng. and Information Technologies Institute of Automation and Systems Engineering 1000 Skopje R. Macedonia Faculty of Engineering Depts. of Computer and of Control Engineering Dogus University of Istanbul Acibadem TR-34722 Istanbul R. Turkey

ISBN: (纸本)9781467327824

This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas of switched fuzzy systems, the comparative study is aimed in introducing the diverse approaches in their model construction, as well as the challenges related with the stability analysis and stabilization of such systems. The last includes the issue of stability analysis and finding conditions for existence of switched fuzzy controllers which will stabilize the nonlinear system. © 2012 IEEE.

关键词： Hybrid systems

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Towards a robust and fault-tolerant multicast discovery architecture for global computing grids

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Scalable Computing 2005年第2期6卷 23-33页

作者： Juhasz, Zoltan Andics, Arpad Kuntner, Krisztian Pota, Szabolcs Department of Information Systems University of Veszprem Egyetem u 10. Veszprem8200 Hungary Department of Computer Science University of Exeter United Kingdom Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

Global grid systems with potentially millions of services require a very effective and efficient service discov- ery/location mechanism. Current grid environments, due to their smaller size, rely mainly on centralised service directories. Large-scale systems need a decentralised service discovery system that operates reliably in a dynamic and error-prone environment. Work has been done in studying flat, decentralised discovery architectures. In this paper, we propose a hierarchical discovery archi- tecture that provides a more scalable and efficient approach. We describe our design rationale for a k-ary tree-based fault-tolerant discovery architecture that also acts as an intelligent routing network for client requests. We show that it is possible to provide ad hoc multicast discovery of services even without end-to-end multicast availability. The system provides clients with the ability to search for services with incomplete information using descriptive service attributes. Our results demonstrate that this approach is well suited to wide-area discovery if fast discovery, high availability, scalability and good performance are crucial requirements. © 2005 SWPS.

关键词： Network architecture

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An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates 2

An experimental system for optical detection of layout error...

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2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992

作者： Szolgay, P. Kispál, I. Kozek, T. Dual and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 BudapestH-1502 Hungary Department of Information Technology Faculty of Engineering University of Veszprém Egyetem u. 10 VeszprémH-8201 Hungary

ISBN: (纸本)0780308751

Cellular neural networks (CNNs) are considered here as cellular analog programmable multidimensional processing arrays with distributed logic and memory. The interconnecting weights between the neighbouring processing elements are defined by the template *** the paper a new systematic way is presented to find robust templates. Using the new learning algorithm some templates were found for a CNN based layout design rule checking algorithm. The algorithm has been tested in our experimental system with real life examples. A typical design rule checking of a 432×164 pixels area takes 8s computation time on our CNN hardware accelerator board. © 1992 IEEE.

关键词： Cellular neural networks

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The chordal graph polytope for learning decomposable models 8

The chordal graph polytope for learning decomposable models

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8th International Conference on Probabilistic Graphical Models, PGM 2016

作者： Studeny, Milan Cussens, James Department of Decision-Making Theory Institute of Information Theory and Automation CAS Pod Vod renskou v 4 Prague18208 Czech Republic Department of Computer Science York Centre for Complex Systems Analysis University of York YorkYO10 5GH United Kingdom

This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the structure of decomposable models. We intend to represent decomposable models by special zeroone vectors, named characteristic imsets. Our approach leads to the study of a special polytope, defined as the convex hull of all characteristic imsets for chordal graphs, named the chordal graph polytope. We introduce a class of clutter inequalities and show that all of them are valid for (the vectors in) the polytope. In fact, these inequalities are even facet-defining for the polytope and we dare to conjecture that they lead to a complete polyhedral description of the polytope. Finally, we propose an LP method to solve the separation problem with these inequalities for use in a cutting plane approach. 2016 Microtome Publishing. All rights reserved.

关键词： Integer programming

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Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency

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Ecological Informatics 2025年 90卷

作者： Qi Shao Chao Huang Yuanjun Xiao Li Liu Weiwei Liu Ran Huang Chang Zhou Wei Weng Jingfeng Huang Key Laboratory of Environmental Remediation and Ecological Health Ministry of Education Zhejiang University Hangzhou 310058 China State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou 310058 China Institute of Applied Remote Sensing and Information Technology Zhejiang University Hangzhou 310058 China Key Laboratory of Agricultural Remote Sensing and Information Systems Hangzhou 310058 China Key Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed College of Forestry Jiangxi Agricultural University Nanchang 330045 China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering College of Computer and Information Technology China Three Gorges University Yichang 443002 China Department of Geography and Spatial Information Techniques Ningbo University Ningbo 315211 China School of Automation Hangzhou Dianzi University Xiasha Higher Education Zone Hangzhou 310058 China

Global phenological field observations play a crucial role in validating remote sensing products and algorithms. However, due to the spatial mismatch and scale effect between the field observations and the pixels of remote sensing phenology products, a direct comparison often leads to scale errors and increased uncertainty. Therefore, evaluating the spatial representativeness of field observations for remote sensing product validation is essential. This study developed a novel “bottom-up” evaluation framework named MSPT ( M ain land cover type, S patial heterogeneity, P oint-area consistency and T emporal consistency), which comprehensively assesses the spatial representativeness of forest phenological field observations within the coarse spatial scale. Based on MSPT method, the capability of global forest phenological field observations to support coarse-scale remote sensing validation was evaluated. Compared with the general method, MSPT significantly improved validation performance. For the start of the growing season (SOS), the root mean square error (RMSE) decreased from 49.70 to 33.75 days, and the percent bias (PBIAS) changed from −0.14 to 0.03. For the end of the growing season (EOS), the RMSE was reduced from 83.42 to 42.53 days, and the PBIAS decreased from 0.15 to 0.08. These findings demonstrate that MSPT enhances the reliability of validation datasets and effectively reducing uncertainty in the evaluation of coarse AVHRR-derived forest phenology products. The framework offers new insights into resolving the scale mismatch between field observations and the pixels of remote sensing products.

关键词： Forest phenology Field observations Spatial representativeness Spatial mismatch Satellite product AVHRR Advanced Very High Resolution Radiometer CERN Chinese Ecosystem Research Network CNW Canada nature watch DBF Deciduous Broadleaf Forests DOY Date of year EBF Evergreen Broadleaf Forests ENF Evergreen Needleleaf Forest EOS The end of the growing season GEE Google Earth Engine GPP Gross primary productivity HBEF Hubbard Brook Experimental Forest HF Harvard Forest IPS Instantaneous Phase Synchrony MAD Mean Absolute Deviation MCD12Q1 MODIS Collection 6.1 (C61) Land Cover Type Product MF Mixed Forests MIPS Mean Instantaneous phase synchrony MLCTP Main Land Cover Type Proportion MSPT Main land cover type - Spatial heterogeneity - Point-area consistency - Temporal consistency NC Nature's Calendar PBIAS Percent bias PEP725 Pan European Phenology Project RAE Relative absolute error RMSE Root mean square error sd standard deviation SOS The start of the growing season USA-NPN USA National Phenology Network VIPPHEN Vegetation Index and Phenology (VIP) Phenology Dataset WI Willmott's Index of Agreement

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GSLB: The Graph Structure Learning Benchmark 37

GSLB: The Graph Structure Learning Benchmark

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37th Conference on Neural information Processing systems, NeurIPS 2023

作者： Li, Zhixun Wang, Liang Sun, Xin Luo, Yifan Zhu, Yanqiao Chen, Dingshuo Luo, Yingtao Zhou, Xiangxin Liu, Qiang Wu, Shu Yu, Jeffrey Xu Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong Center for Research on Intelligent Perception and Computing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China Department of Automation University of Science and Technology of China China School of Cyberspace Security Beijing University of Posts and Telecommunications China Department of Computer Science University of California Los Angeles United States Heinz College of Information Systems and Public Policy Machine Learning Department School of Computer Science Carnegie Mellon University United States

ISBN: (纸本)9781713899921

Graph Structure Learning (GSL) has recently garnered considerable attention due to its ability to optimize both the parameters of Graph Neural Networks (GNNs) and the computation graph structure simultaneously. Despite the proliferation of GSL methods developed in recent years, there is no standard experimental setting or fair comparison for performance evaluation, which creates a great obstacle to understanding the progress in this field. To fill this gap, we systematically analyze the performance of GSL in different scenarios and develop a comprehensive Graph Structure Learning Benchmark (GSLB) curated from 20 diverse graph datasets and 16 distinct GSL algorithms. Specifically, GSLB systematically investigates the characteristics of GSL in terms of three dimensions: effectiveness, robustness, and complexity. We comprehensively evaluate state-of-the-art GSL algorithms in node- and graph-level tasks, and analyze their performance in robust learning and model complexity. Further, to facilitate reproducible research, we have developed an easy-to-use library for training, evaluating, and visualizing different GSL methods. Empirical results of our extensive experiments demonstrate the ability of GSL and reveal its potential benefits on various downstream tasks, offering insights and opportunities for future research. The code of GSLB is available at: https://***/GSL-Benchmark/GSLB. © 2023 Neural information processing systems foundation. All rights reserved.

关键词： Graphic methods

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Multi-Agent System Enhanced Supervision of Process automation

Multi-Agent System Enhanced Supervision of Process Automatio...

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IEEE Workshop on Distributed Intelligent systems: Collective Intelligence and Its Applications (DIS)

作者： T. Pirttioja A. Halme A. Pakonen I. Seilonen K. Koskinen Automation Technology Laboratory Helsinki University of Technology Finland Centre of Finland VTT Technical Research Center of Finland Finland Information and Computer Systems in Systems in Helsinki University of Technology Finland

This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario

关键词： Multiagent systems Application software Office automation Intelligent systems Laboratories computerized monitoring Personnel Production information processing Testing

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Intelligent Flow Meter on Acoustic Multivibrator

Intelligent Flow Meter on Acoustic Multivibrator

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2019 IEEE East-West Design and Test Symposium, EWDTS 2019

作者： Sukhinets, Z.A. Gulin, A.I. Bureneva, O.I. Prokopenko, N.N. Valiamova, O.O. Department of Telecommunication Systems Ufa State Aviation Technical University Ufa Russia Department of Automation of Technological Processes and Production Ufa State Petroleum Technological University Ufa Russia Department of Computer Engineering Saint-Petersburg State Electrotechnical University LETI Saint-Petersburg Russia Department Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

ISBN: (纸本)9781728110035

The article deals with the construction of intelligent flow meters, in which primary detector, sensors, analog-To-digital converters, and microprocessors for solving the problem of distribution of functions between the elements of measurement, conversion and calculation systems are integrated. The flow meter contains a jet generator, which is an acoustic multivibrator. Jet generator converts the flow rate into acoustic vibrations, which are converted into a polyharmonic electrical by piezoelectric transducer. An adaptive line enhancer contains an electronically controlled filter on the varicap and allocates an informative first harmonic and functionally processes it in accordance with the analytical expression of the flow rate from the frequency. The microprocessor processes all information from the adaptive line enhancer and measurement channels from the inert gas concentration sensors, which are impedance biological sensors, and from the integral temperature sensor. The measurement results are displayed on the flow meter display and transmitted via digital communication channels to the dispatcher console. © 2019 IEEE.

关键词： Flow of gases

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Intelligent sensor measurement of gte gas temperature with thermistors

Intelligent sensor measurement of gte gas temperature with t...

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2019 IEEE East-West Design and Test Symposium, EWDTS 2019

作者： Sukhinets, Zh. A. Gulin, A.I. Safyannikov, N.M. Prokopenko, N.N. Valiamova, O.O. Bureneva, O.I. Department of Telecommunication Systems Ufa State Aviation Technical University Ufa Russia Department of Automation of Technological Processes and Production Ufa State Petroleum Technological University Ufa Russia Department of Computer Engineering Saint-Petersburg State Electrotechnical University 'Leti' Saint-Petersburg Russia Department Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

ISBN: (纸本)9781728110035

Based on the analysis of the existing schemes and measuring instruments of high temperatures GTE, the article proposes an intelligent system using the developed design of a thermistor made of tungsten-rhenium wire, allowing its installation on the jacks of previously used thermocouples. The calculations of the thermistor, taking into account the dependence of the resistivity change and temperature coefficient of resistance on temperature. Using the conversion functions, the optimal value of the output frequency of the measurement system for transmission over a two-wire communication line with high noise immunity is calculated. © 2019 IEEE.

关键词： Microcontrollers

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Intelligent multi sensor fusion system for advanced situation awareness in urban environments

Intelligent multi sensor fusion system for advanced situatio...

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7th Future Security Research Conference 2012

作者： Hummel, Georg Russ, Martin Stütz, Peter Soldatos, John Rossi, Lorenzo Knape, Thomas Utasi, Ákos Kovács, Levente Szirányi, Tamás Doulaverakis, Charalampos Kompatsiaris, Ioannis Institute of Flight Systems Bundeswehr University Munich Germany Athens Information Technology 08Km Markopoulo Ave Athens Greece Vitrociset Spa Via Tiburtina Roma 1020 Italy Data Fusion International Dublin Ireland Computer and Automation Research Institute Hungarian Academy of Sciences Hungary Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece

ISBN: (纸本)9783642331602

This paper presents a distributed multi sensor data processing and fusion system providing sophisticated surveillance capabilities in the urban environment. The system enables visual/non-visual event detection, situation assessment, and semantic event-based reasoning for force protection and civil surveillance applications. The novelties lie in the high level system view approach, not only concentrating on data fusion methodologies per se, but rather on a holistic view of sensor data fusion that provides both lower (sensor) level and higher level (semantic) fusion. At the same time, we concentrate on easy and quick extensibility with new sensors and processing capabilities. The system also makes provisions for visualizing and processing space-time alerts from sensor detections up to high level alerts based on rule-based semantic reasoning over sensor data and fusion events. The proposed architecture has been validated in a number of different synthetic and live urban scenarios. © 2012 Springer-Verlag.

关键词： Unmanned aerial vehicles (UAV)

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