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Discusses automated trading systems modeling and trading algorithm structure from the perspective of system analysis and automatic control theory principles. We consider various modifications of trading algorithm implementation based on order book imbalance. Using computer simulation of the trading process we demonstrate various ideas and approaches to on- and off-line trading algorithm optimization,...
Modern information technologies has changed our world dramatically during last years. We see how a number of traditional professions were died, and how a number of new specialities and workplaces were born under pressure of new technologies. Technologies are moving so quickly, and in so many directions, that it becomes challenging to even keep in mind a general picture. In this article, we shortly...
Recently, the factorized hidden layer (FHL) adaptation method is proposed for speaker adaptation of deep neural network (DNN) acoustic models. An FHL contains a speaker-dependent (SD) transformation matrix using a linear combination of rank-1 matrices and an SD bias using a linear combination of vectors, in addition to the standard affine transformation. On the other hand, full-rank bases are used...
The proposed approach is based on the use of the heteroscedasticity effect, which is widely known in econometrics. The authors believe that it can give significant positive results for the detection of changes of network traffic states while analyzing the dispersion of the random errors in the regression equations. This method will allow to solve the problem of the definition of supply and demand...
A method of a control system synthesis for the separate UR thruster is developed. A special non-linear correcting device and adaptive adjustment on reference model are applied for non-linearity compensating and required quality of control processes saving at change of thruster parameters in a given range. A new approach to forming a self-adjustment signal ensuring activity in a linear zone of the...
This paper presents an approach for modelling and control of fed-batch yeast growth which requires extensive calculation without the need of off-line measurements and model training. The main aim of the presented approach is to provide a methodology with high flexibility towards a varying process. The process model represents essential system behaviour. Based on this model, an adapted predictive control...
For automatic speech recognition (ASR) of lectures, texts of presentation slides are expected to be useful for adapting a language model, while slide texts are not always available in a machine-readable form. In this paper, we propose a language model adaptation framework that uses character recognition results of slide images in a lecture video. Since character recognition results contain many errors,...
With the advances of networking and cloud computing technologies, many web services are often implemented as cloud services by different service providers, and some SPs compose those services to create an end-to-end network service. In this service-oriented network virtualization environment, two important but somehow contradictory technical challenges are 1) how to select an optimal service path...
Solar power plants should collect any available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessary shutdowns and start-ups. Fast and well damped linguistic equation (LE) controllers have been tested in Spain at a collector field, which uses parabolic-trough collectors...
This paper proposes an adaptive mutation method which changes a mutation rate depending on the program size in the asynchronous program evolution unlike the synchronous program evolution such as genetic programming. An intensive experiment with an evolution of calculation programs has revealed that the proposed adaptive mutation method can generate the correct and short programs in comparison with...
In a heterogeneous multisensor environment, data fusion can help to improve the reliability of the sensor data. With respect to classification of tracked objects, features detected by different types of sensors can supplement each other, creating more reliable classifications results. This paper presents an idea of adapting the classification rules in a learning process without "known good"...
Methodology for advanced design and modeling and some practical results of development of distributed mechatronic environment are presented based on robotic contact systems with technological adaptation. Some practical results and examples of 3D virtual models of such kind of mechatronic systems are suggested as well.
Due to the dynamic nature of environment in service computing, it becomes more important to make the Web service composition able to self-adapt to changes in its environment. Achieving this goal is a challenging task, as the performance of a composite Web service will be decreased if the adaptation happens frequently in runtime. In this paper, we improve adaptation of Web service composition by predicting...
The aim of this paper is to propose a nonlinear control algorithm that is able to stabilize the attitude and altitude of a quadrotor vehicle, and then to compare it with the classical techniques, such as PID and LQR. The nonlinear algorithm is based on the backstepping methodology integrated with the integral and adaptation schemes. It's called “Adaptive Integral Backstepping Controller” (AIBC). The...
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