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International Symposium on Intelligent Signal Processing and Communication Systems

作者： Yan-Xing Wang Yi-Gang Cen Lie-Quan Liang Ming Zeng Vladimir Mladenovic Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing School of Computer and Information Technology Beijing Jiaotong University Beijing Guangdong key laboratories on e-commerce market application technology Guangdong university of finance and economics Guangzhou China School of Automation Science and Engineering South China University of Technology Guangzhou China Faculty of Technical Sciences Cacak University of Kragujevac Cacak Serbia

In this paper, we propose an automated surface inspection approach based on generalized low-rank approximations of matrices(GLRAM). The GLRAM uses a series of low-rank matrices to approximate the structural texture backgrounds of the original defective images. Then the difference images obtained by the original defective images and the low-rank approximations will retain the defect areas. Finally, we can easily segment the defect area from the original image using a simple threshold segmentation method. Experimental results show that our proposed method can extract defect areas well from the structurally textured image.

关键词： Defect inspection Structural textures Machine vision Generalized low-rank approximations of matrices

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Influence of CNC milling strategies on complex surface machining

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IOP Conference Series: Materials science and engineering 2020年第1期776卷

作者： T Dodok N Čuboňová M Císar V Ivanov D Wiecek Department of Automation and Production systems Faculty of Mechanical Engineering University of Žilina Univerzitná 1 010 26 Žilina Slovak Republic Department of Manufacturing Engineering Machines and Tools Sumy State University 2 Rymskogo-Korsakova St. Sumy 40007 Ukraine Faculty of Mechanical Engineering and Computer Science University of Bielsko-Biala ul. Willowa 2 43-309 Bielsko-Biała Poland

Milling strategies are an integral part of CAD/CAM systems. Every CAD/CAM system offers unique strategies to differentiate itself from the competition. The article deals with analysis of CNC milling strategies in CAD/CAM system Edgecam 2017 R2. Analysis is divided into two parts. In first part are analysed roughing strategies with focus based on time necessary for removal of material. Second part is focused on finishing strategies and achieving the highest quality of surface. In conclusion, the article deals with the analysis of existing milling strategies and the creation of a database for the assignment of optimal roughing and finishing strategies for specified components.

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Atrial Fibrillation Detection from Compressed ECG Measurements for Wireless Body Sensor Network

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ACM Transactions on Internet Technology 1000年

作者： Yongyong Chen Junxin Chen Shuang Sun Jingyong Su Qiankun Li Zhihan Lyu School of Computer Science and Technology Harbin Institute of Technology (Shenzhen) China School of Software Dalian University of Technology China College of Medicine and Biological Information Engineering Northeastern University China Department of Automation University of Science and Technology of China China Department of Game Design Faculty of Arts Uppsala University Sweden

Recent years have witnessed an increasing prevalence of wearable devices in the public, where atrial fibrillation (AF) detection is a popular application in these devices. Generally, AF detection is performed on cloud whereas this paper describes an on-device AF detection method. Technically, compressed sensing (CS) is first used for electrocardiograph (ECG) acquisition. Then QRS detection is proposed to be performed directly on the compressed CS measurements, rather than on the reconstructed signals on the powerful cloud server. Based on the extracted QRS information, AF is determined by quantitatively analyzing the (RR, dRR) plot. Databases with ECG samples collected from both medical-level (MIT-BIH afdb) and wearable ECG devices (Physionet Challenge 2017) are introduced for performance validation. The experiment results well demonstrate that our on-device AF detection algorithm can approach the performance of those implemented on the raw signals. Our proposal is suitable for AF screening directly on the wearable devices, without the support of the data center for signal reconstruction and intelligent analysis.

关键词： Atrial fibrillation on-device detection compressed sensing wireless body sensor network

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Microphytobenthos Spatio-Temporal Dynamics Across an Intertidal Gradient in a Tropical Estuary Using Sentinel-2 Imagery

SSRN

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SSRN 2024年

作者： Haro, Sara Mucheye, Tadesse Caballero, Isabel Priego, Blanca Gonzalez, Carlos Jose Gómez-Ramírez, Eddy H. Corzo, Alfonso Papaspyrou, Sokratis Department of Biology Faculty of Marine and Environmental Sciences University of Cádiz Puerto Real Cádiz11510 Spain Department of Natural Resources Management College of Agriculture and Environmental Science University of Gondar P.O. Box 196 Gondar Ethiopia Puerto Real Cádiz11510 Spain Department of Automation Engineering Electronics and Computer Architecture and Networks School of Engineering University of Cádiz Puerto Real Cádiz11510 Spain Division of Naval Support Marine Hydrographic Institute Spanish Navy Cadiz Spain Universidad de Costa Rica Escuela de Química y CIMAR San Pedro Montes de Oca San José11501-2060 Costa Rica

Intertidal mudflats are among the most productive coastal ecosystems, largely because of the activity of the photosynthetic microbial community on the sediment surface, known as microphytobenthos (MPB). While the dynamics of MPB have been extensively studied in temperate estuaries, there is limited research in tropical estuaries. To address this knowledge gap, we investigated the spatio-temporal dynamics of MPB in the Nicoya Gulf (Costa Rica), one of the world's most productive tropical estuaries, using Sentinel-2 images at 10 m spatial resolution from 2018 to 2022. We used Normalized Difference Vegetation Index (NDVI) values ranging from 0 to 0.4 to monitor MPB cover and growth rates (µNDVI, days-1). Analysis of data using Generalized Additive Models (GAM) showed that up to 62% of the temporal variability in average MPB NDVI, peaking in late wet and early dry seasons (November-December), can be explained by years and months. The high temperatures and irradiance during the dry season (December to April) in the Nicoya estuary may inhibit MPB growth, contrasting with patterns observed in temperate estuaries. We observed higher MPB NDVI in the upper intertidal zone (mean sea level > 0.5 m) as usually occurs in temperate estuaries. This research highlights the importance of high-resolution satellite imagery for long-term monitoring of MPB dynamics in tropical tidal flats, crucial for accurate evaluation of global carbon cycling and ecosystem services. © 2024, The Authors. All rights reserved.

关键词： Remote sensing

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Preface

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Advances in Intelligent Systems and Computing 2017年 617卷 v-vi页

作者： Vittorini, Pierpaolo Gennari, Rosella Di Masciow, Tania Rodríguez, Sara De la Prieta, Fernando Ramos, Carlos Silveira, Ricardo Azambuja Department of Life Health and Environmental Sciences University of L’Aquila L’Aquila Italy Computer Science Faculty Free University of Bozen-Bolzano Bolzano Italy Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy Department of Computer Science and Automation Control University of Salamanca Salamanca Spain Politécnico do Porto GECAD Instituto Superior de Engenharia do Porto Porto Portugal Department of Computer Science and Statistics Federal University of Santa Catarina FlorianópolisSC Brazil

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automation of the lamination process for automotive applications

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IOP Conference Series: Materials science and engineering 2019年第1期591卷

作者： L Popa V Popa Transilvania University Faculty of Electrical Engineering and Computer Science Department of Automation and Information Technologies Mihai Viteazul No.5 500036 Brasov Romania National Defence University Department of Defence Resources Management Studies Mihai Viteazul No. 160 500183 Brasov Romania

The article addresses the design of an automation system for the lamination process of the cars, which has as inputs different types of transducers, and as outputs the command of a linear pneumatic motor. The layered and self-supporting laminated structures of motor vehicles are manufactured from a thermoplastic substrate and a flexible sheet material in one direction rolling and cutting operation. The installation for producing these laminates is a casting press having two casting plates, each of which comprises a component of a pair of cutting means. It is used a CPU 315-2 PN / DP, which is a medium-sized program memory processor and it is often used in automation structures. This processor can also be used as distributed intelligence (master or slave). The implementation of the code sequence to work on this processor is done in one of the specific languages to the programmable machines. The software used in programming is STEP 7. The stored information is not erased when the processor is disconnected. The usefulness of programmable machines has simplified the approach of an automated system.

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Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions

IEEE Journal on Indoor and Seamless Positioning and Navigati...

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IEEE Journal on Indoor and Seamless Positioning and Navigation 2024年 2卷 92-129页

作者： Potorti, Francesco Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jimenez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Alvarez Polo, Fernando Jesus Aranda Rodriguez, Felipe Parralejo Moreira, Adriano Pendao, Cristiano Silva, Ivo Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valerie Wei, Dongyan Ji, Xinchun Zhang, Wenchao Wang, Yan Ding, Longyang Kuang, Jian Zhang, Xiaobing Dou, Zhi Yang, Chaoqun Kram, Sebastian Stahlke, Maximilian Mutschler, Christopher Coene, Sander Li, Chenglong Venus, Alexander Leitinger, Erik Tertinek, Stefan Witrisal, Klaus Wang, Yi Wang, Shaobo Jin, Beihong Zhang, Fusang Su, Chang Wang, Zhi Li, Siheng Li, Xiaodong Li, Shitao Pan, Mengguan Zheng, Wang Luo, Kai Ma, Ziyao Gao, Yanbiao Chang, Jiaxing Ren, Hailong Guo, Wenfang Torres-Sospedra, Joaquin Pisa56124 Italy Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of Beijing University of Posts and Telecommunications School of Computer Science National Pilot Software Engineering School Beijing100876 China Chinese Academy of Sciences Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Beijing100190 China Universitat Oberta de Catalunya Faculty of Computer Sciences Multimedia and Telecommunication Barcelona08035 Spain Arganda del Rey28500 Spain Huawei Technologies Company Ltd. Shenzhen100015 China IMEC-WAVES/Ghent University Department of Information Technology Gent9052 Belgium Nanjing University of Aeronautics and Astronautics College of Automation Nanjing210016 China University of Extremadura Badajoz06006 Spain University of Trás-os-Montes and Alto Douro Department of Engineering School of Sciences and Technology Vila Real5000-801 Portugal Universidade Do Minho Centro Algoritmi Guimarães4800-058 Portugal Ame Department of the University Gustave Eiffel Geoloc Laboratory Bouguenais44344 France Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China Wuhan University Gnss Research Center Wuhan430072 China AutoNavi Software Company Ltd. China Fraunhofer Institute for Integrated Circuits Iis Fraunhofer Iis Nuremberg90411 Germany Erlangen91058 Germany Graz University of Technology Christian Doppler Laboratory for Location-Aware Electronic Systems Graz8010 Austria Institute of Software Chinese Academy of Sciences Beijing100190 China Purple Mountain Laboratories Pervasive Communication Research Center Nanjing210000 China Beijing University of Posts and Telecommunications Beijing100876 China

Indoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations;ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site tracks. In contrast with on-site tracks where competitors bring their systems on-site - which were impossible to organize during 2021 and 2022 - in off-site tracks competitors download prerecorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem. © 2023 CCBY.

关键词： Smartphones

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An Efficient Evolutionary Algorithm for High-Speed Train Rescheduling Under a Partial Station Blockage

SSRN

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SSRN 2023年

作者： Wang, Rongsheng Zhang, Qi Dai, Xuewu Yuan, Zhiming Zhang, Tao Ding, Shuxin Jin, Yaochu China Academy of Railway Sciences Corporation Limited Beijing100081 China Signal and Communication Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Train Operation Control Laboratory for High-Speed Railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit Beijing100081 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Faculty of Technology Bielefeld University BielefeldD-33615 Germany Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom

This paper investigates the high-speed train rescheduling (HSTR) problem under a partial station blockage and proposes an efficient problem-specific strengthen elitist genetic algorithm (PS-SEGA) for HSTR. An HSTR model that is subject to train operation constraints is established to minimize the total train delay. The PS-SEGA framework consists of the following main steps. Firstly, a permutation-based encoding method is developed to define an efficient search space based on a train departure sequence. A decoding method is employed to output the rescheduled timetable and objective value based on the departure sequence. Moreover, a hybrid initialization method involving an efficient heuristic strategy (EHS) is put forward to accelerate the convergence speed of Evolutionary algorithms (EAs). Using problem-specific knowledge, EHS generates an efficient and feasible solution for the initial population. Finally, a restart strategy is presented to maintain genetic diversity. Compared with other advanced EAs and their improved variants also using the PS-SEGA framework, experimental results demonstrate the effectiveness of the proposed PS-SEGA for addressing HSTR scenarios under the partial station blockage. As for the scenarios that CPLEX can not obtain optimal solutions within 10 minutes, PS-SEGA can all provide quasi-optimal solutions in real-time. Furthermore, compared with the other two strategies (i.e., First-Scheduled-First-Served and EHS), PS-SEGA can find the best departure sequence that can output the timetable with a quasi-optimal solution. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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Simulation of wood biomass combustion in hot water boiler

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IOP Conference Series: Materials science and engineering 2020年第1期776卷

作者： I Klačková I Zajačko R Lenhard I Gritsuk D Wiecek Department of Automation and Production systems Faculty of Mechanical Engineering University of Žilina Univerzitná 1 010 26 Žilina Slovak Republic Department of Power Engineering Faculty of Mechanical Engineering University of Žilina Univerzitná 1 010 26 Žilina Slovak Republic Center RUDN University 117198 Moscow Miklukho-Maklaya str.6 Moscow Russia Faculty of Mechanical Engineering and Computer Science University of Bielsko-Biala ul. Willowa 2 43-309 Bielsko-Biala Poland

Calculation methods based on finite volume methods (CFD method) have proven to be very useful in optimizing (efficiency, emission) heat sources for wood burning. Such heat sources also include gasification hot-water boilers for the combustion of dry wood. One of the important parts of the entire process of converting the primary energy contained in the fuel to the transfer of heat to the heat carrier is the gasification of the fuel in the feed chamber and the subsequent burning of wood gas. The paper presents CFD simulation of wood gasification process in the filling chamber and subsequent burning of wood gas on a model heat source. As a model heat source, was selected a hot-water boiler with lower fuel firing with a flue gas-water heat exchanger tubular heat exchanger. It is a gasification hot water boiler for the combustion of dry wood. The interior of the boiler consists of a filling chamber where the fuel is dried and fused. The wood gas then passes through the nozzle to the combustion chamber, where it burns with the aid of secondary air. The flue gases pass their heat in the heat exchanger through the walls of the pipes into the water.

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Corrigendum to “Realistic acceleration of neural networks with fine-grained tensor decomposition” [Neurocomputing 512 (2022) 52–68]

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Neurocomputing 2023年 527卷 47-47页

作者： Rui Lv Dingheng Wang Jiangbin Zheng Yefan Xie Zhao-Xu Yang School of Computer Science Northwestern Polytechnical University Xi’an Shaanxi China Northwest Institute of Mechanical & Electrical Engineering Xianyang Shaanxi China School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an Shaanxi China State Key Laboratory for Strength and Vibration of Mechanical Structures Shaanxi Key Laboratory of Environment and Control for Flight Vehicle and School of Aerospace Engineering Xi’an Jiaotong University Xi’an Shaanxi China

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