In this paper we describe a design and implementation of an on-line scheduling algorithm for controller area network (CAN) messages that exploits properties of genetic algorithms (GA) to achieve global message through...
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In this paper we describe a design and implementation of an on-line scheduling algorithm for controller area network (CAN) messages that exploits properties of genetic algorithms (GA) to achieve global message throughput optimization. The use of GA-based scheduler has been found effective even in time-critical distributed control systems, such as the considered control system that encompasses several control subsystems at the fire fighting vehicle. The experimental results show that the GA-optimized CAN message scheduler considerably decreased the average message queuing time.
This paper concerns the application of a parallel multi-model switched control (PMMSC) scheme for integrated fin and rudder roll stabilization (INFERS). The PMMSC algorithm uses a two-level hierarchical control strate...
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We investigate two-way and one-way single-photon quantum key distribution (QKD) protocols in the presence of loss introduced by the quantum channel. Our analysis is based on a simple precondition for secure QKD in eac...
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We investigate two-way and one-way single-photon quantum key distribution (QKD) protocols in the presence of loss introduced by the quantum channel. Our analysis is based on a simple precondition for secure QKD in each case. In particular, the legitimate users need to prove that there exists no separable state (in the case of two-way QKD), or that there exists no quantum state having a symmetric extension (one-way QKD), that is compatible with the available measurements results. We show that both criteria can be formulated as a convex optimization problem known as a semidefinite program, which can be efficiently solved. Moreover, we prove that the solution to the dual optimization corresponds to the evaluation of an optimal witness operator that belongs to the minimal verification set of them for the given two-way (or one-way) QKD protocol. A positive expectation value of this optimal witness operator states that no secret key can be distilled from the available measurements results. We apply such analysis to several well-known single-photon QKD protocols under losses.
In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N...
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In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N' beats and premature ventricular 'V' beats. Some of the tested methods represent the state of the art in pattern analysis, while others are novel algorithms developed by us. All the algorithms were tested on the same datasets, namely the MIT-BIH and the AHA databases. The results for all the employed methods are compared and evaluated using the measures of sensitivity and specificity.
The Brain Computer Interface technology allows the communication between people and mechanical devices controlled by microprocessors [1] [8]. It translates the human mental activity into device commands. The kernel of...
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ISBN:
(纸本)0889865787
The Brain Computer Interface technology allows the communication between people and mechanical devices controlled by microprocessors [1] [8]. It translates the human mental activity into device commands. The kernel of this technology is an algorithm that takes samples, filters and classifies the electro-encephalographic signal [2] [3] [4] [5]. In this paper, different types of filtering windows are considered, the main objective is to determine the type of window with best results in the discrimination stage, when the user is thinking about different activities;as secondary result the most relevant features are extracted. With an earlier and better discrimination the classifier would be easier to implement, faster and more reliable[14].
Agent is an active, permanent computer entity which is able to perceive, to behave "reasonably" towards its environment, to actuate on them (agents) and which is able to communicate with other agents. For mu...
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ISBN:
(纸本)8086059456
Agent is an active, permanent computer entity which is able to perceive, to behave "reasonably" towards its environment, to actuate on them (agents) and which is able to communicate with other agents. For mutual communication, negotiation, cooperation, coordination and collaboration among agents the higher-level language ACL (Agent Communication Language) is used. Agents may also help in fault detection and diagnostics. Simple model equations rewriten on discretized residual form, compare measurement values from process with calculated simple model equations. Exception handling is a critical element for achieving long-term success in batch production. Correct handling of exceptions is a key element in process safety, consistent product quality, and production cost minimalization. In Exception handling Agents represent Agent with the equipment-state machine and Agent with the procedure-state machine. Jadex is a Java based, FIPA compliant agent environment, and allows to develop goal oriented agents following the BDI model. Jadex provides a framework and a set of development tools to simplify the creation and testing of agents. Visual Paradigm for the Unified Modeling Language (VP-UML) is a UML CASE tool. Visual Paradigm for UML is a professional but easy-to-use UML modeling tool that supports complete software life-cycle - analysis, design, implementation, testing and deployment.
Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions a...
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Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions and adequate fitness function it is possible to change the music composing into an optimization problem. This paper proposes a new genetic algorithm for composing music. Considering entropy of the notes distribution as a factor of fitness function and developing mutation and crossover functions based on harmonic rules and trying to keep the melodies intact during these processes would result in a musical piece pleasant to human ears and interesting for human mind. This algorithm does not have the constraints of the previous algorithms. Restraining mutation and crossover functions with a goal of producing melodies based on acceptable melodies composed by humans, this algorithm is not bound to any genre, instrument or melody. The experimental results of this approach show that it is near to the human composing and the results produced from it are more acceptable than the ones produced by its predecessors.
A new nonlinear minimum-variance adaptive proportional integral derivative (PID) based multiple controller, incorporating a multi-layered neural network learning submodel, is presented. The unknown non-linear plant is...
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A new nonlinear minimum-variance adaptive proportional integral derivative (PID) based multiple controller, incorporating a multi-layered neural network learning submodel, is presented. The unknown non-linear plant is represented by an equivalent stochastic model consisting of a linear least-squares-based submodel plus a non-linear multi-layered back propagation (BP) neural network-based learning submodel. The proposed multiple controller methodology provides the designer with a choice of using either a conventional PID self-tuning controller, a PID structure-based pole-placement controller, or a newly proposed PID structurebased pole-zero placement controller through simple switching. The novel PID structure based pole-zero placement controller employs an adaptive mechanism, which ensures that the closedloop poles and zeros are located at their prespecified positions. The switching decision between the different nonlinear fixed structure controllers is made manually in the present case but can be automated using fuzzy logic or stochastic learning automata techniques. Simulation results using a nonlinear plant model demonstrate the effectiveness of the proposed multiple controller with respect to tracking set-point changes. The aim is to achieve a desired speed of response while penalizing excessive control action, for applications in nonminimum phase and unstable systems.
This paper elaborates the present stage and predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best c...
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This paper elaborates the present stage and predictable direction of future development of Sine Wave Calculator (SWC), a simple method for signal analysis in time domain that provides accuracy comparable to the best classical methods (relative errors about few times 10-6). The main SWC advantages are extreme simplicity, possibility of selection of samples and straightforward calculations, which makes it preferable solution for quick implementation. The main shortage is still unknown mathematical analysis of errors, which are probably unequal for different signal parameters.
Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step f...
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Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step further and besides visualization, we monitor all measurable states in the real system and use active 3D models in-the-loop for real-time supervisory control. Such concept enables an event detection not possible with conventional sensors, including the ability to predict possible outcomes in the system operation. A virtual environment simulator and the way it can be connected to other simulators (e.g., Matlab/Simulink), is presented. The examples of virtual sensors, and collision free-based trajectory planning for robotic manipulators are demonstrated
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