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Tensors were introduced into the circuit theory by G. Kron in the 1940s and 1950s. At that time, Kron's monograph entitled “Tensors for Circuits” was very well known. The theory presented therein is however a little bit forgotten now. Here, we recall it and show how it can be usable in solving the current research problems of circuits and systems theory. We consider also here application of tensors...
Underwater acoustic communication channels are characterized by a large variety of propagation conditions. Designing a reliable communication system requires knowledge of the transmission parameters of the channel, namely multipath delay spread, Doppler spread, coherence time, and coherence bandwidth. However, the possibilities of its estimation in a real-time underwater communication system are limited,...
In this paper, we present a new strategy for automatic classification of weld defects in radiographs based on Gentle Adaboost algorithm. Radiographic images were segmented and moment-based features were extracted and given as input to Gentle Adaboost classifier. The performance of our classification system is evaluated using hundreds of radiographic images. The classifier is trained to classify each...
The Fourier transform is undoubtedly one of the best known integral transforms. It has found uses in numerous applications and has become a fundamental tool in engineering science. The fractional Fourier transform (FRFT) can be viewed as the generalisation of the aforementioned transform with the order parameter. By exploiting the potential of an additional degree of freedom, it is possible to give...
The behaviour of a dynamical system can provide data for applications in various domains. A classification in term of observability will give the answer for the selection of the instrument which will fit the application. In cryptography the cipher is built with instruments with left-inversibility properties and the observability coefficient is a step further to achieve this purpose.
Evaluating aesthetic value of digital photographs is a challenging task, mainly due to numerous factors that need to be taken into account and subjective manner of this process. In this paper, we propose to approach this problem using deep convolutional neural networks. Using a dataset of over 1.7 million photos collected from Flickr, we train and evaluate a deep learning model whose goal is to classify...
In this paper, we propose a filtering algorithm that can extract lesions by using lesion feature points based on medical images. We use representative feature extraction methods for lesion recognition based on extraction of shape features and feature points from lesion patterns. I suggest. The preprocessing process of medical image processing removes unnecessary noise from complex medical images and...
Pedestrian detection is a very important application of embedded real-time vision systems. It is essential in Advanced Driver Assistance Systems (ADAS) and Advanced Video Surveillance Systems (AVSS). The most widely used method involves a combination of Histogram of Oriented Gradients (HOG) features and Support Vector Machine (SVM) classifier. It offers quite high detection accuracy at the cost of...
Accurate and efficient assessment of barley quality is crucial for brewery industry. Currently, such the assessment is performed by a qualified expert, is expensive, time-consuming and may yield unreproducible results. We introduce a barley ontology (BO) to formalize the expert's knowledge and to involve information from industry standards. The BO specifies quality classes of malting barley, their...
A malt is one of intermediate ingredients for a brewing industry. The quality of barley used for malting have essential impact on the final product flavor. An automatic system for a barley grains inspection, utilizing computer vision methods, can provide an objective quality assessment. We present image preprocessing steps of grain inspection system. Main preprocessing steps are: segmentation of grain...
The paper presents an approach to localize human body joints in 3D coordinates based on a single low resolution depth image. First a framework to generate a database of 80k realistic depth images from a 3D body model is described. Then data preprocessing and normalization procedure, and DNN and MLP artificial neural networks architectures and training are presented. The robustness against camera distance...
An estimation of a resected cancer lodge localization after breast tumor surgery is a challenging task during radiotherapy planning. Knowledge about the tumor lodge position and shape could improve the radiation dose distribution. However, the tumor no longer exists after the surgery, but information about its position is available in the 3D image acquired before the surgery. Therefore, image registration...
This paper presents a recent result of the study on efficient 3GPP compliant method to simulate multiple independent multipath fading radio channels in multi-UE (User Equipment) software defined Evolved Universal Terrestrial Radio Access Network (E-UTRAN) traffic generator. In the previous research [1], authors discussed Digital Fourier Transform (DFT) based frequency domain simulation models of a...
In this paper two approaches to upscaling of low resolution bitmaps created using pixel art digital form are proposed. The methods are aimed to deal with limitations of classical and dedicated algorithms typically used in gaming applications. The proposed spatial methods, proximity-based coefficient correction and transition area restriction, lead to no limitations in scale factor in comparison to...
In this paper we propose a novel efficient method of characteristic image point detection based on the fractional order derivative. The concept of this approach called (FSIFT: Fractional-SIFT) is inspired by the Scale-Invariant Feature Transform (SIFT) proposed by Lowe and can be viewed as a certain generalization of this formula. The classical SIFT detector is implemented efficiently by using a difference...
This paper presents a series of experiments on the classification of emergency phone conversation records using artificial neural networks (ANNs). Input data which were processed by ANNs were the features of callers and events taken from emergency phone calls. The authors analyzed four variants of classification: the groups of callers which have specified features, the groups of events which have...
Neonatal death can be prevented by early prediction of pre-term labor. During the last decade, uterine electrohysterography (EHG) signal has been considered as a noninvasive method for this aim. There is a wide range of researches which investigated EHG signals for diagnosis of pre-term labor. In this article, features have been extracted by Discrete Wavelet Transform (DWT) from EHG signals then Support...
As the first batch of intangible cultural heritage of China, Tujia brocade craft is facing the danger of losing, and it is extremely urgent to conduct digital protection for Tujia brocade by using information technology solutions. The multi-touch Tujia brocade virtual weaving system was designed and implemented with the multi-touch technology based on this situation. It displays the tools and key...
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