engineering procedure for approximate analytical determination of describing function of nonlinear systems with odd static characteristics is presented in the paper. Generalized mathematical expressions for determinin...
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The goal of this research is to increase honeypot security through data analysis with Artificial Neural Network (ANN). Thus, first we present an approach to detection presence of computer malcode in the honeypot based...
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ISBN:
(纸本)9788988678206
The goal of this research is to increase honeypot security through data analysis with Artificial Neural Network (ANN). Thus, first we present an approach to detection presence of computer malcode in the honeypot based on ANN while using the computer's behavioral measures. Then, we identify significant features, which describe the activity of a malcode within a honeypot, by acquiring these from security experts. We suggest employing fisher's score, one of the feature selection techniques, for the dimensionality reduction and identification of the most prominent features to capture efficiently the computer behavior in content of malcode activity. Later on, we preprocess the dataset according to this technique and train the ANN model with preprocessed data. Finally, we evaluate the ability of the model to detect the presence of a malcode in the honeypot when honeypot is at risk.
Due to the increasing complexity of industrial production systems, there exists a need for the development of efficient formal approaches for their analysis and control. Various methods have been proposed and examined...
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Due to the increasing complexity of industrial production systems, there exists a need for the development of efficient formal approaches for their analysis and control. Various methods have been proposed and examined from researchers, without being widely adopted for direct industrial use. In general, an industrial production line can be modelled as a Discrete Event System, but a more accurate representation would result, if we considered it as a real-time system. This paper presents a new mathematical abstraction for modelling real-time systems. In comparison with the conventional methods, the proposed method introduces new formulation parameters and handles variables in a different manner. It gives the opportunity to handle both discrete and real valued variables as inputs, outputs or both. A formal definition of the method is given and some examples of computations or runs of two typical examples are also presented.
The mono-static Radar Cross Section (RCS) of a commercial Drone (IRIS) has been simulated and measured. For simulations, the electromagnetic CAD Microwave Studio by CST has been used. This software allows to accuratel...
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A novel nonlinear controller that inherently limits the RMS value of a three-phase grid-following inverter current is presented in this paper. Using the dynamic model of the inverter in the rotating dq reference frame...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). In this paper, we make use of an innovative junction technique, which allows the kingpin to slide along the axis of the leading vehicle, something that proved to be very effective in reducing off-tracking. We propose two controllers for the elimination of the off-tracking phenomenon, in both robotic and transportation multi-articulated vehicles; the one is heuristically derived while the other one is based on steady-state off-tracking when an n-trailer vehicle moves on a circular trajectory. Simulation results for various cases, without and with the sliding kingpin system, showed that significant off-tracking reduction or even elimination can be achieved.
In a MIMO a nonlinear system having the same number of inputs and outputs, if certain coefficients that characterize its normal form have a special structure, a number of relevant design problems can been successfully...
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In a MIMO a nonlinear system having the same number of inputs and outputs, if certain coefficients that characterize its normal form have a special structure, a number of relevant design problems can been successfully addressed. In this paper we consider the more general case of a system having more inputs than outputs, we show that such special structure implies the regularity of the algorithm for construction of a right-inverse, and we show how a recently developed design method for robust control can be implemented on this class of MIMO systems.
The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly th...
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The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly the first one that is the base of the Automated Highway Systems. This paper focuses on the advantages and disadvantages of both systems and introduces the main technical problems of them. The need for new traffic rules is examined in the case of truck train travels on a multi-lane highway. The kingpin sliding technique is also proposed to face the off-tracking phenomenon of multi-articulated vehicles. Some conclusions from the comparison of the two systems are also given
Vehicle-to-cloud is a network access model that aims to share computing resources for vehicles. In vehicle-to-cloud communication, reliable links are critical. Through multipath transmission, comprehensive utilization...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). This paper proposes an intelligent controller for the elimination of the off-tracking phenomenon, in both robotic and transportation multi- articulated vehicles. By using a sliding kingpin technique that allows articulated semi-trailers to follow closely the tractor's path, and taking into consideration the heuristic knowledge that stems from the driving practice and the tests' experience, a fuzzy rule-based controller has been developed to determine the sliding distance and the sliding rate of the kingpin mechanism. Simulation results for various cases, without and with the sliding kingpin system showed that off-tracking elimination is achieved to a significant degree through the use of intelligent controller.
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