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...
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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 ...
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ISBN:
(数字)9783319978888
ISBN:
(纸本)9783319978871
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 regular opportunity for students, academics and researchers to exchange their ideas and novel research methods.
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 ...
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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.
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 ...
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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 i...
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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...
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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.
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...
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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 c...
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作者:
Marinova, GinkaTodorova, MayaTechnical 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
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 ...
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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 appropriatel...
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