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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Discovering patterns from big data attracts a lot of attention due to its importance in discovering accurate patterns and features that are used in predictions of decision making. The challenges in big data analytics are the high dimensionality and complexity in data representation. Granular computing and feature selection are among the challenge to deal with big data analytics that is used for Decision...
The presentation discusses the entanglement of control and information and communication technologies (ICT) in the 21st Century as the basis of intelligent systems. An assessment of the past is presented, discussing the profound technological changes that have taken place during the last 2 decades, especially the changes observed in manufacturing industries. The emerging paradigms of big data and...
In this study we introduce a Linear Parameter Varying (LPV) based controller design possibility for LPV systems with state and input uncertainties. Through the LPV framework the developed method can be used for the nonlinear system belongs to the given LPV system. The controller design approach effectively exploits the combination of the classical state feedback and matrix similarity theorems in order...
Software maintenance has been recognized by academicians and practitioners from industry as the most challenging and expensive part in software life cycle. The complexity and high costs of maintenance activities require systematic evidence of all maintenance activities and accurate models for planning and managing them. A common way for analyzing practice in software engineering is based on trend...
There is an increasing demand for applications in which users can easily browse different events organized by different institutions or organizations in a single place. Among these events are the following: theater or movie shows, cultural programs, presentations, meetups, etc. Most of the institutions (e.g. theaters) have their own web pages, where the programs along with the related news and pieces...
Nowadays face recognition plays a central role in surveillance, biometrics and security. In this paper a Field-Programmable Gate Array (FPGA) based low-cost real-time architecture for face recognition is presented. The face recognition module receives the detected faces from a video stream and processes the data with the widely used Eigenfaces, also known as the Principal Component Analysis (PCA)...
Higher education faces many challenges today, primarily those concerning the actual needs of the labor market. There is a high percentage of people with the university degree but considerably smaller percentage of those who are competent for solving actual problems that business world faces. This fact has been recognized as one of the drawbacks of Bologna process, more precisely of its traditional...
Although acoustical features can be extracted directly from time series, more relevant and more precise features can be collected from a higher processing level, namely, the frequency domain. Physicians prefer thin peaks in the frequency space, which can be usually achieved by windowing and wavelet analysis. In a bio-inspirited way, the human brain can determine an object from the area of the region...
In the interest of recent accomplishments in the development of deep convolutional neural networks (CNNs) for face detection and recognition tasks, a new deep learning based face recognition attendance system is proposed in this paper. The entire process of developing a face recognition model is described in detail. This model is composed of several essential steps developed using today's most advanced...
The authors of this paper analyze the necessity and possibility of constructing and implementing world sustainability model. The starting point of the research is the fact that nature — society — humanity represent unique system elements which are built up on each other. Due to the aforementioned, world management in terms of securing stable and sustainable development is not possible without comprehending...
Identification of acoustic events is a challanging field of signal processing. Fast identification algorithms would be applicable for real-time event detection in industrial projects. Event detection is usually done by classifying a specific feature of windows of time series. This paper studies the application of the novel skeleton method for feature extraction. We compare it with traditional feature...
This paper presents a decision support system for classification of hotel guests in the terms of additional spending. The research is conducted on three stars medium-sized hotel. Guests are classified on arrival, during check-in, in one of the two groups: low spending group or high spending group. A low spending group consists of visitors that are anticipated to spend less than 25 Euros per day for...
The number of diabetic people is constantly growing across the globe including Hungary. According to the WHO diabetes is a future endemic problem. Beside the social problems, diabetes causes a serious economic impact as well; hence, it is important to draw attention on it together with its impacts. The paper discusses about this question, introducing the types of diabetes, its indicators, complications...
In the classical measure theory, the distance between two m-integrable functions f1 and f2 can be defined as L1 norm of |f1 − f2|, i.e. d(f1, f2) = ∫X |f1 − f2|dm. Instead of the Lebesgue integral, the g-integrals with respect to the interval-valued ⊕-measure [μl, μr], where g is an increasing function, is considered, and instead of the distance |f1 − f2|, the function d⊕(f1, f2) is considered. The...
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