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The unsupervised algorithm for the calculation of semantic similarity are essential in many areas of modern natural language processing. One of the most promising methods for the calculation of semantic similarity is neural network algorithm "word2vec. This method has been tested for most European languages, namely English, German, French and Russian. This paper presents the results of numerical...
In the present study a borohydride/peroxide fuel cell/Li-ion battery hybrid system was developed. Output power of DBPFC was controlled and kept constant by MPPT algorithm. The voltage ripples of the fuel cell were prevented. Moreover, Li-ion battery was charged with a stable power of direct borohydride/peroxide fuel cell.
In this study, we implemented orthogonal frequency division multiplexing (OFDM) based communication with universal serial peripheral device known USRP. We aim to study synchronization related problems of OFDM based system in real environment. The timing, phase and channel estimation are done. Their effects to the system performance are discussed. The results show that by using right tools, synchronization...
Automatic license plate recognition (ALPR) is the technology for identification of license plate numbers from a video stream or an image without human interaction. ALPR has many applications such as registration or accounting (toll roads, checkpoints, and parking lots), search and tracking (recovery of stolen vehicles, capture of offenders, and other regulations of traffic laws), etc. There are many...
Algorithms of finding polynomials roots have been proposed and they are continuously suggesting in different works [5] which are devoted for solving as theoretical so application problems because of theirs complexity and sufficient perfection (accuracy) in series of certain situations. A method of finding polynomials roots which is reduced to obtaining analytical representation of polynomial roots,...
We study the following discrete facility location game. Two players, a leader and a follower, open facilities and compete to attract clients from a given market. Each player has a budget and maximizes own market share. Each client splits own demand probabilistically over all opened facilities by the gravity rule. The goal is to find the location and design of the leader facilities to maximize his...
This work examines transients neoclassical growth model with multiple equilibrium states, which is an important issue for the development of methods of determining the stability of the economic system. An attempt to study the behavior of the integral curves of nonlinear model for the development of administrative decisions on the definition of macroeconomic indicators of the country.
This work presents development of a prototype for the automatic engraving machine. The proposed system controlled using computer, by setting drawing for engrave. Constructed prototype consists of XYZ coordinates table (working area), where XY for position in the engraving area and Z axis for establish little driller. Arduino board has been chosen as a controller. Movements of the machine are generated...
This article considers voiced reading. It is written with help of Android (java) program. In order to read text in Kazakh language its phonetic was researched. The best program for making this project from English programs is FBReader.
In describing the process of functioning of the irrigation system used a linear model of water movement. On the basis of model seeks to hold levels at certain points of the irrigation system within the prescribed limits. The problem is solved hold in the theory of differential games.
Epilepsy is common disorder of the brain that affects the cerebral cortex. EEG is one of the main tools for diagnosis neuron activities and brain disorders. EEG signals store important information that is useful for diagnosis neural diseases. In this work, implementation of epilepsy classifier using neural network was employed. Identification of three classes EEG signals: seizure free, pre-seizure...
Today, the term Big Data is already widely distributed in many areas, and one of the efficient tools to handle this amount of data is a young, but rapidly growing data warehousing technology. This article reviews general data warehousing understanding and its areas of usage and application in order to understand and implement data integration solutions. Traditional design and concept model of data...
In today's environment, in which digital data is continuously increasing, it is of prime importance for students to find data appropriate for their readability level. In this study, our aim is to classify educational data in Turkish based on their readability level. Three readability formulas and new syllable and word level features are used in this study. K12 level Turkish Language course textbooks...
We compare three anatomical sheep models to assess possible heating effects of magnetic resonance imaging. We generate i) homogenous, ii) three-layered, and iii) seven-tissue models and compute specific absorption rate (SAR) and temperature increase on those models. We conclude that the homogenous model overestimates both SAR and heating whereas the three-tissue model underestimates those (although...
Issues related to a properly collection, management and analysis of data are the very first ones to be solved while working with any data source. Especially, it's true for the data sources, which have a property to grow very rapidly and without any clear structure underneath, and such behavior is very typical for the data generated by mobile devices. Thus, current work suggest an principle architecture...
This paper presents the design optimization and analysis of Matching Circuits (MCs) composed of identical Composite Right/Left-Handed (CRLH) transmission cells in the balanced conditions. For this purpose, noise matching is considered as the Feasible Design Target (FDT) throughout the available bandwidth for a chosen low-noise microwave transistor which is BPF640 and the L, C element values, number...
The given paper describes modern approach to the task of sentiment analysis of movie reviews by using deep learning recurrent neural networks and decision trees. These methods are based on statistical models, which are in a nutshell of machine learning algorithms. The fertile area of research is the application of Google's algorithm Word2Vec presented by Tomas Mikolov, Kai Chen, Greg Corrado and Jeffrey...
As much of data and information are performed over time they are represented in a form of time series. The amount of information increases with tremendous speed that should be stored and analyzed. Extracting meaningful information from the stock of data is called time series data mining. Important part of time series data mining is similarity search of time series. The new method is developed for...
The conventional LMS algorithm has been successfully used in adaptive filtering for system identification (SI) problem. In telecommunications, acoustic echo SI problems usually have relatively large filter lengths that take a long time to be estimated. To overcome this problem, the block least-mean-square algorithm (BLMS) has been proposed. In BLMS, the filter coefficients are updated for blocks of...
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