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49th International Universities Power engineering Conference, UPEC 2014

作者： Iudean, Dan Munteanu, Radu Dan Zaharia, Valentin Dobra, Mirela Faculty of Electrical Engineering Technical University of Cluj-Napoca Romania Faculty of Automation and Computer Science Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479965571

This paper studies the reliability of an industrial knitting machine, emphasizing the reliability value and the reliability indicators: failure rate and MTBF (Mean Time Between Failures). This study has been conducted on an industrial knitting machine and has duration of 4500 hours (approximately 6 months), after which preventive maintenance operations are planned. This study analyses the behavior of the reliability, failure rate and of the MTBF depending on the functioning environment and of the temperature to which the knitting machine was subjected. The last part presents an analysis of the top ten components that are most likely to malfunction. © 2014 IEEE.

关键词： Mean time between failures

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A parallel uncertain frequent itemset mining algorithm with spark 20

A parallel uncertain frequent itemset mining algorithm with ...

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20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

作者： Ding, Jiaman Li, Haibin Wang, Yuanyuan Jia, Lianyin You, Jinguo Yang, Yang Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China College of Engineering and Computer Science Australian National University Canberra Australia

ISBN: (纸本)9781728126166

Frequent Itemset Mining (FIM) from large-scale databases has emerged as an important problem in the data mining and knowledge discovery research community. However, FIM suffers from three important limitations with the rapidly expanding of big data in all domains. First, it assumes that all items have the same importance. Second, it ignores the fact that data collected in a real-life environment is often inaccurate. Third, it is also a data-intensive and computation-intensive process which makes the FIM algorithm very time-consuming over large datasets. To address these issues, we propose a Parallel uncertain frequent itemset mining algorithm with spark (Pufim). Pufim firstly expresses item uncertainty by considering both the probability and weight, and calculates the maximum probability weight value of 1-items. Next, a distributed Pufim-tree structure is designed inspiring by FP-Tree for reducing the times of scanning the databases. Each node of Pufim-tree stores an item and its maximum probability weight value. Finally, experiments on publicly available UCI datasets demonstrate that Pufim achieves more prominent results than other related approaches across various metrics. In addition, the empirical study also shows Pufim has a good scalability. © 2019 IEEE.

关键词： Data mining

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Microphytobenthos spatio-temporal dynamics across an intertidal gradient in a tropical estuary using Sentinel-2 imagery

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science of the Total Environment 2025年 963卷 178516页

作者： Haro, S. Mucheye, T. Caballero, I. Priego, B. Gonzalez, C.J. Gómez-Ramírez, E.H. Corzo, A. Papaspyrou, S. Department of Biology Faculty of Marine and Environmental Sciences University of Cádiz Cádiz Puerto Real11510 Spain Department of Natural Resources Management College of Agriculture and Environmental Science University of Gondar P.O. Box 196 Gondar Ethiopia Cádiz Puerto Real11510 Spain Department of Automation Engineering Electronics and Computer Architecture and Networks School of Engineering University of Cádiz Cádiz Puerto Real11510 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 Campus Universitario de Puerto Real Cadiz11510 Spain School of Freshwater Science University of Wisconsin-Milwaukee MilwaukeeWI53204 United States

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, offering a valuable tool for estimating ecosystem services provided by intertidal MPB, such as primary production, climate regulation, and nutrient cycling on a global scale. © 2025 Elsevier B.V.

关键词： Abiotic

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Target tracking method of Siamese networks based on the broad learning system

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 1043-1057页

作者： Dan Zhang C.L.Philip Chen Tieshan Li Yi Zuo Nguyen Quang Duy Navigation College Dalian Maritime UniversityDalianChina Innovation and Entrepreneurship Education College Dalian Minzu UniversityDalianChina Computer Science and Engineering College South China University of TechnologyGuangzhouChina Department of Computer and Information Science Faculty of Science and TechnologyUniversity of MacaoMacaoChina School of Automation Engineering University of Electronic Science and Technology of ChinaChengduChina Faculty of Navigation Vietnam Maritime UniversityHaiphongVietnam

Target tracking has a wide range of applications in intelligent transportation,real‐time monitoring,human‐computer interaction and other ***,in the tracking process,the target is prone to deformation,occlusion,loss,scale variation,background clutter,illumination variation,etc.,which bring great challenges to realize accurate and real‐time *** based on Siamese networks promotes the application of deep learning in the field of target tracking,ensuring both accuracy and real‐time ***,due to its offline training,it is difficult to deal with the fast motion,serious occlusion,loss and deformation of the target during ***,it is very helpful to improve the performance of the Siamese networks by learning new features of the target quickly and updating the target position in time *** broad learning system(BLS)has a simple network structure,high learning efficiency,and strong feature learning *** at the problems of Siamese networks and the characteristics of BLS,a target tracking method based on BLS is *** method combines offline training with fast online learning of new features,which not only adopts the powerful feature representation ability of deep learning,but also skillfully uses the BLS for re‐learning and re‐*** broad re‐learning information is used for re‐detection when the target tracking appears serious occlusion and so on,so as to change the selection of the Siamese networks search area,solve the problem that the search range cannot meet the fast motion of the target,and improve the *** results show that the proposed method achieves good results on three challenging datasets and improves the performance of the basic algorithm in difficult scenarios.

关键词： broad learning system siamese network target tracking

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Spectral Features of EEG Signals for the Automated Recognition of Negative Emotional States 28

Spectral Features of EEG Signals for the Automated Recogniti...

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28th International Scientific Conference Electronics, ET 2019 - Proceedings

作者： Feradov, Firgan Nihatov Ganchev, Todor Dimitrov Department of Electronic Equipment and Microelectronics Faculty of Computer Science and Automation 1 Studentska str. Varna9010 Bulgaria Department of Computer Sciences and Engineering Faculty of Computer Science and Automation Technical University of Varna 1 Studentska str. Varna9010 Bulgaria

ISBN: (纸本)9781728125749

In the presented paper we investigate the properties of spectral EEG features for the detection of negative emotional states. In particular, the proposed features represent the dynamics of energy distribution in the frequency range of 20-35 Hz, based on a time-frequency analysis of multichannel EEG signal. The experimental evaluation is based on data from the DEAP database. We report results with J48- and SMO-based classifiers, in terms of average classification accuracy, 94.3% and 96.8%, respectively. © 2019 IEEE.

关键词： Biomedical signal processing

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Display module for wireless embedded communication system

Display module for wireless embedded communication system

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作者： Demeter, Robert Automation Department Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov Brasov Romania

ISBN: (纸本)9781424473359

This paper presents a practical implementation of a custom wireless access point with display module to view the communication and configuration parameters. For the display module we design a hierarchy menu system, with control buttons that enable the user to scroll to specific types of information and select between parameters. The display module is very useful for embedded systems with limited resources because it offers status information about connected users, ROMIRAM usage, IP address, connection types, transfer rates, bandwidth, etc. without the need to enter the configuration menu using web interface.

关键词： Embedded systems

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A survey on set similarity search and join

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International Journal of Performability engineering 2018年第2期14卷 245-258页

作者： Jia, Lianyin Zhang, Lulu Yu, Guoxian You, Jinguo Ding, Jiaman Li, Mengjuan Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China College of Computer and Information Science Southwest University Chongqing400715 China Library Yunnan Normal University Kunming650500 China

Set similarity search and join operations have a wide range of applications, including e-commerce, information retrieval, bioinformatics, and so on. Although extensive techniques have been suggested for set similarity search and join, there is literature on systematically categorizing these techniques and comprehensively comparing them. To bridge this gap, this paper provides a comprehensive survey of set similarity search and join. The survey starts from the basic definitions, framework, ordering and similarity functions of set similarity search and join. Next, it discusses the main filtering techniques used in the state-of-the-art algorithms, and analyses the pros and cons of these algorithms in detail. For set similarity join algorithms, we divide them into 2 main categories based on the key underlying techniques they use: Prefix filtering based algorithms and partition based algorithms. Prefix filtering is the most dominant technique, so algorithms based on prefix filtering and their recent variants are analyzed thoroughly. Partition is also a promising technique as it can exploit comparisons between multiple partitions. Furthermore, some efforts on MapReduce based set similarity join algorithms are also discussed briefly. In the end, the open challenges and questions are presented for future pursue. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Surveys

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Recent Advances in Soft Computing 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Radek Matoušek

The MENDEL conference was established in 1995 and it bears the name of the scientist and Augustinian priest Gregor J. Mendel, who discovered the famous Laws of Heredity. The main aim of the conference was to create a ... 详细信息

ISBN: (数字)9783319978888

ISBN: (纸本)9783319978871

关键词： Computational Intelligence Artificial Intelligence

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Recent Advances in Soft Computing 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Radek Matoušek

ISBN: (数字)9783319580883

ISBN: (纸本)9783319580876

This proceeding book contains a collection of selected accepted papers of the Mendel conference held in Brno, Czech Republic in June 2016. The proceedings book contains three chapters which present recent advances in soft computing including intelligent image processing. The Mendel conference was established in 1995 and is named after the scientist and Augustinian priest Gregor J. Mendel who discovered the famous Laws of Heredity. The main aim of the conference is to create a regular possibility for students, academics and researchers to exchange ideas and novel research methods on a yearly basis.

关键词： Computational Intelligence Artificial Intelligence

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Analysis of RFID security and privacy by means of identification and authentication protocols

Analysis of RFID security and privacy by means of identifica...

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IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010

作者： Hurjui, Cristina Graur, Adrian Stefan Cel Mare University of Suceava Faculty of Electrical Engineering and Computer Science Department of Computers and Automation Suceava Romania

ISBN: (纸本)9781424474332

When analyzing the Radio Frequency Identification applications, one might think of two essential hierarchies: the structures aiming to offer security to an RFID system and the structures aiming to offer functionality means, with no security issues. One should know precisely the significance of these notions. Radio Frequency Identification represents an advanced wireless technology, which integrates an essential solution within the fields of intelligent chips and automation technologies. In this paper, four protocols based on updating the tags' identifiers by means of RFID readers will be compared, in order to carry out an analysis over the jeopardizing points that threaten the security and privacy of RFID systems. Cryptography signifies a way of creating RFID systems more secure. A chaotic matter is brought into discussion, by the following situations: to And out if it is a protocol of identification or authentication that is necessary, depending on various RFID applications or systems. Such analysis over RFID security has carried out wide thoughts. © 2010 IEEE.

关键词： Authentication

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