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A survey on set similarity search and join

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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Geometric algebras for uniform colour spaces

Geometric algebras for uniform colour spaces

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作者： Hrdina, Jaroslav Vašík, Petr Matoušek, Radomil Návrat, Aleš Institute of Mathematics Institute of Automation and Computer Science Faculty of Mechanical Engineering Brno University of Technology Brno Czech Republic

We show the advantages and disadvantages of specific geometric algebras and propose practical implementations in colorimetry. The colour space CIEL∗a∗b∗ is endowed by an Euclidean metric;the neighbourhood of a point is therefore a sphere, and the choice of a conformal geometric algebra is thus obvious. For the colour space CMC(l:c), the neighbourhood is an ellipsoid and thus we choose the quadric geometric algebra to linearize the metric by means of the scalar product. We discuss the distance problems in colour spaces with these particular geometric algebras applied. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Colorimetry

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Adaptive control for an uncertain robotic manipulator with input saturations

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Control Theory and Technology 2016年第2期14卷 113-121页

作者： Trong-Toan TRAN Shuzhi Sam GE Wei HE Center for Robotics and School of Automation Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Faculty of Electronic Technology Industrial University of rio Chi Minh City Ho Chi Minh City Vietnam School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

In this paper, we address the control problem of an uncertain robotic manipulator with input saturations, unknown input scalings and disturbances. For this purpose, a model reference adaptive control like （MRAC-like） is used to handle the input saturations. The model reference is input to state stable （ISS） and driven by the errors between the required control signals and input saturations. The uncertain parameters are dealt with by using linear-in-the-parameters property of robotic dynamics, while unknown input scalings and disturbances are handled by non-regressor based approach. Our design ensures that all the signals in the closed-loop system are bounded, and the tracking error converges to the compact set which depends on the predetermined bounds of the control inputs. Simulation on a planar elbow manipulator with two joints is provided to illustrate the effectiveness of the proposed controller.

关键词： Robotic manipulator adaptive control uncertain parameter input saturation trajectory tracking

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Windows XP issues for real-time temperature monitoring

Windows XP issues for real-time temperature monitoring

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IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference

作者： Marcu, Marius Moldovan, Horatiu Zilahi, Mihai Tomescu, Victor Ionas, Mihai Department of Computer and Software Engineering Politehnica University of Timisoara Faculty of Automation Control and Computer Science 2 V. Parvan Timisoara Romania

ISBN: (纸本)0780388798

Windows operating systems (NT, 2000, XP, 2003) were not designed for real-time and time-critical applications. But, due to the market requirements, many of the monitoring and control applications are to use Windows NT based operating systems. One of the most important parameter in almost all applications is temperature. Therefore, this article addresses the problem of temperature monitoring using a non real-time operating system, like Windows. A number of three solutions for thermal sensors connecting to PC's interfaces are presented. © 2005 IEEE.

关键词： Real time systems

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Towards a real-time control of robotic ultrasound using haptic force feedback

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Current Directions in Biomedical engineering 2022年第1期8卷 81-84页

作者： Schreiter, J. Semshchikov, V. Hanses, M. Elkmann, N. Hansen, C. University of Magdeburg Faculty of Computer Science & Research Campus Stimulate Magdeburg Germany University of Magdeburg Faculty of Electrical Engineering and Information Technology Magdeburg Germany Fraunhofer Institute for Factory Operation and Automation Iff Magdeburg Germany

Ultrasound is a widely used imaging technique and is appreciated for its non-invasiveness, absence of radiation, widespread availability, and compact equipment. Ergonomic difficulties in manual handling of the probe could be enhanced by a robotic controlled ultrasound. The paper addresses the development of such a system which enables remote operation of a ultrasound probe and includes haptic force feedback as well as video conferencing components for visual feedback. The development process followed a user-centered approach by investigating needs of potential end-users. Preliminary results demonstrated the functionality of the developed system for generating medical image data under laboratory conditions. © 2022 by Walter de Gruyter Berlin/Boston.

关键词： Probes

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Classification Tasks Solving with Machine Learning Methods 29

Classification Tasks Solving with Machine Learning Methods

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29th International Scientific Conference Electronics, ET 2020

作者： Marinova, Ginka Todorova, Maya Technical University of Varna Faculty of Faculty of Computer Sciences and Automation Department of Computer Science and Engineering Department of Software and Internet Technologies 1 Studentska str Varna9010 Bulgaria

ISBN: (纸本)9781728174266

The subject of analysis and research is data in the field of medical oncology through machine learning methods. The types of classification in machine learning are presented, and three methods are described-K-Nearest Neighbors, Naive Bayes Classifier, Support Vector Machines. Two classification tasks in the field of medicine have been formulated, implemented, and researched. Classifiers are created and trained with the methods KNN, SVM, and NBC. The solved classification tasks aim to support patients and clinical psycho-oncologists. © 2020 IEEE.

关键词： Support vector machines

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Identification of a stable model for a flexible plate using frequency domain subspace methods

Identification of a stable model for a flexible plate using ...

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作者： Ahmadizadeh, Saeed Montazeri, Allahyar Poshtan, Javad Electrical Engineering Department Iran University of Science and Technology Tehran Iran Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany

ISBN: (纸本)9783902661937

having a suitable model is one of the most important steps in active noise and vibration control systems. There are many applications in which the derived numerical model does not show the system behavior appropriately. In such cases, obtaining a model using system identification methods can play a special role. To this aim, in this paper the problem of identification of a flexible plate which is attached to upper side of an enclosure is addressed. The frequency response of the plate is measured between the two specific points and the data are applied to the several subspace-based frequency domain identification algorithms with and without Instrumental Variable method. Since the real system, by nature, is stable and the models identified in all cases are unstable, in the next step stabilization algorithm with different initial values is used to extract the stable part of the system. Finally, the qualities of the stabilized identified models are evaluated by calculating the RMS error between the measured and identified models. © 2011 IFAC.

关键词： Frequency response

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