作者:
Tarbă, NicolaeIrimescu, Ionela N.Pleavă, Ana M.Scarlat, Eugen N.Mihăilescu, MonaDoctoral School
Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology POLITEHNICA Bucharest Romania Applied Sciences Doctoral School
National University of Science and Technology POLITEHNICA Bucharest Romania CAMPUS Research Center
National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept
National University of Science and Technology POLITEHNICA Bucharest Romania Physics Dept
Research Center for Applied Sciences in Engineering National University of Science and Technology POLITEHNICA Bucharest Romania
We introduce a method to evaluate the similarities between classes of objects based on the confusion matrices coming from the multi-class machine learning (ML) predictors that operate in the vector space generated by ...
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Quantum computing is progressing at a fast rate and there is a real threat that classical cryptographic methods can be compromised and therefore impact the security of blockchain networks. All of the ways used to secu...
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Sampled data provided by a process are usually corrupted by various noises. Although data are required to be denoised before applying any further processing, the corrupting noises could encode a part of desired inform...
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Sampled data provided by a process are usually corrupted by various noises. Although data are required to be denoised before applying any further processing, the corrupting noises could encode a part of desired information. A partial denoising is suitable in this case, as part of pre-processing procedure. Another requirement frequently used in data pre-processing is to compress the useful information in a smaller number of data. Partial denoising and compression are gathered in the concept of "signal compaction". The paper introduces an original method for providing compacted preliminary data, relied on the concept of "verisimilitude" and requiring no synchronization signal accompanying the acquired data.
This work presents a simulation study of an event-based selective control strategy for a raceway reactor. The control system aims are to maintain simultaneously a pH and dissolved oxygen within specific limits. In the...
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In this paper we address the question of "Why is it that a mobile robot, programmed in a certain way and placed in some environment to execute a program, behaves in the way it does?". We present three real w...
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This work describes the development and implementation of a single-camera SLAM system, introducing a novel data validation algorithm. A 6-DOF monocular SLAM method developed is based on the Delayed Inverse-depth (DI-D...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods...
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Magnetic measurement is a typical inverse problem in Biomedical field. In this kind of problem we always need to locate the positions and moments of one or more magnetic dipoles. Although using the traditional methods to solve this kind of inverse problem has all kinds of shortcomings, BPNN (Back Propagation Neural Networks) method can be used to solve this typical inverse problem fast enough for real time measurement. In the traditional BPNN method, gradient descent search method is performed for error propagation. In this paper the authors propose a new algorithm that Newton method is performed for error propagation. For the cost function is highly nonconvex in the magnetic measurement problem, the new kind of BPNN can get convergent results quickly and precisely. A simulation result for this method is also presented.
Document Clustering is one of the popular techniques that can unveil inherent structure in the underlying data. Two successful models of unsupervised neural networks, Self-Organizing Map (SOM) and Adaptive Resonance T...
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Web Laboratories (WebLabs) are essential resources for engineering education. Within this type of laboratory, a new Sharable Content Object Reference Model (SCORM) package design model is shown in this work. The propo...
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At runtime, an embedded control system can switch between alternative functional modes. In each mode, the system operates by using a schedule and controllers that exploit the available computation and communication re...
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ISBN:
(纸本)9781605584973
At runtime, an embedded control system can switch between alternative functional modes. In each mode, the system operates by using a schedule and controllers that exploit the available computation and communication resources to optimize the control performance in the running mode. The number of modes is usually exponential in the number of control loops, which means that all controllers and schedules cannot be produced in affordable design-time and stored in memory. This paper addresses synthesis of multi-mode embedded control systems. Our contribution is a method that trades control quality with optimization time, and that efficiently selects the schedules and controllers to be synthesized and stored in memory. Copyright 2009 ACM.
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