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The example of how to create and organize the ETL process on isolated small scale database system which is the part of the larger information system is given in this paper. We have given short description of the database, ETL process and given directions on how to expand classic ETL process with intermediate steps in order to automatize complete process and prepare it for loading into main data warehouse...
Telecom Operators are going towards future of virtualization and cloud in order to provide new innovative services that are customer centric and to serve not so predictable Internet of Things (IoT). Transformation of Operation Support Systems (OSS) is recognized by TMForum as a key aspect in supporting upcoming technology changes and services agility. This article will show results of OSS transformation...
Contemporary e-learning solutions frequently used in educational institutions and companies are based on learning management systems (LMS). As they usually represent standalone solutions, tests (quizzes) represent the only interactive tool offered for evaluating the learner knowledge. Regardless todays LMS support almost all of question types, learner — system interaction is not at satisfactory level...
Big Data refers to data volumes in the range of Exabyte (1018) and beyond. Such volumes exceed the capacity of current on-line storage and processing systems. With characteristics like volume, velocity and variety big data throws challenges to the traditional IT establishments. Computer assisted innovation, real time data analytics, customer-centric business intelligence, industry wide decision making...
For the requisite of verifying the MIKME advanced microphone during serial production, an automated test system for hardware testing was developed. The system, that comprises a specially designed test fixture — bed-of-nails, the PXI instrumentation and a LabVIEW application, is presented in the paper with all of its features related to the MIKME product. The proposed solution is up to 20 times faster,...
This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Deep learning technique — Convolutional Neural Networks. Experimental results, obtained using a publicly available test database of 200 fingerprint images in two variations — with and without Gaussian noise, demonstrate that this method is competitive with Fourier coefficients and NN based method for fingerprint...
In this paper we propose a method for automatic collimation border rotation angle detection. Algorithm utilizes pooling of image gradients based on their orientations to form a histogram of oriented gradients (HOG) with the goal of determining the dominant gradient orientation in the image as collimation border rotation angle. To avoid accumulation of lower magnitude gradients only a percentage of...
Light fields captured by a new generation of digital photo cameras are processed in order to render different representation of the same scene. Evaluating the quality of experience in light field imaging applications requires publicly available databases in order to allow the research community to fairly compare the obtained results. This paper presents an open access database of light field images...
There are several methods to detect arrhythmia by analysis of the heartbeat rate. In practice, doctors follow a specific procedure to interpret if a particular RR interval as a premature heartbeat by analyzing the complex morphology of the ECG signal. We have tested several algorithms to determine premature heartbeats analyzing two neighboring RR intervals using different threshold values with a goal...
As radiographic imaging is one of the most used medical imaging modalities, it has been a subject of various research in the domains of image processing and computer vision. Expert annotated databases are needed to enable easier algorithm development, validation and verification. From algorithm development standpoint, image information such as the existence and position of collimation, existence of...
We propose a method for predicting low-value Laplacian pyramid details that can be used for radiographic image processing time reduction via reorganization of the Laplacian pyramid calculation process. High resolution low-value detail prediction is based on the value of coarser details. Low-value details are then omitted in Laplacian pyramid calculation as well as in the image enhancement process...
The paper reports on the objective evaluation and comparison of the two noise estimation algorithms for noisy speech signals. Both algorithms are based on observation that local minima in noisy speech spectrogram are close to the power level of the noise signal. The first algorithm directly searches spectrogram for the local minima and those values use to update noise power spectrum density (psd)...
The data about routes of ambulances in period of extensive number of days, extracted from the database connected to GPS system, are used in the calculations of coordinates related to the locations where these vehicles should be parked during „waiting for call” time. The mathematic problem known as „p-median” is resolved by apropriate algorithm implemanted in three steps. Defined optimisation method...
Speech quality assessment performed by speech therapists is to some extent subjective and affected by the human factors. In order to objectify the evaluation, significant effort is invested in solutions that are non-invasive, sufficiently reliable and in compliance with diagnostic and therapeutic procedures. In this paper, the development of a system for automatic assessment of articulatory deviations...
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