Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we describe the LFM-1b User Genre Profile dataset. It provides detailed information on musical genre preferences for more than 120,000 listeners and links to the LFM-1b dataset. We created the dataset by exploiting social tags, indexing them using two genre term sets, and aggregating the resulting annotated listening events on the user level. We foresee several applications of the dataset...
Biomarkers have tremendous potential in different phases of treatment such as risk assessment, screening/detection, diagnosis and patient's response prediction. In this paper, we present an approach for development of a generic tool for an end to end analysis of expression data to identify the probable biomarkers. We follow machine learning as well as network analysis approaches in parallel. We use...
In this paper, we address the issue of profiling users over the Internet using meta-data logs derived from network flow data (hence preserving a high degree of privacy). In this broader context, we specifically aim to empirically demonstrate that Internet volume and time of usage of humans do exhibit repeatable behavior over time. In our experimental study, Internet usage statistics of octets and...
The significant number of fails and dropouts in computing undergraduate courses, especially in mathematics and programming, remains a challenge. Although the motivation can be directly related to the success of the student, it has only been addressed by a few studies. The purpose in this paper is to assess the impact of factors prior to university on the performance and motivation of undergraduate...
Wind speed prediction has been used in various fields such as Satellite launch, Air traffic control, Weather forecasting etc. Wind speed can be calculated by various atmospheric variables such as temperature, humidity, pressure, wind direction, etc. A number of methods have been proposed by various researchers to predict the wind speed. During the last few years a lot of research has been carried...
In this study, we use wearable devices to monitor the health and physiological indicators of the elderly, and analyze the effects of the elderly's walking steps and sleep as the measurable health and physiological indexes. Eighteen cases of the elderly who received health management services are selected. We establish the generalized linear mixed model, and Pearson correlation analysis result shows...
The task of minimizing the costs of providing IT services, as a task of optimizing control actions on quality indicators, was solved. An Statistical Aggregation and Decomposition approach was developed to study the quality of IT services on the basis of multiple regression and autoregression of the integrated moving average, in which these methods were jointly used to predict the components of the...
Educational environments are different in each country, though the subjects are almost the same: students, families, teachers, schools, school systems, government supervision — ministry. The system parameters' relationships are determined using similar factors: the overall economic situation, the organization of the education system, the financial support of the state, and others. But still, the effectiveness...
With the introduction of several new coding tools and technology for depth maps in 3D-HEVC, the coding efficiency is improved at the expense of computational complexity. Meanwhile, the inter-view correlation is not considered and used well for depth maps, while it is developed maturely in texture video coding. Therefore, in this paper, we propose an early determination scheme for the best prediction...
Statistical inference has been usually used for medical data analysis, however in many cases it appears not to be efficient enough. Cluster analysis enables finding out groups of similar instances, for which statistical models can be built more effectively. In the paper a feature selection method for finding clustering attributes, which are supposed to improve performance of statistical analysis,...
Here we describe an approach for the dynamic selection of test cases in continuous integration test environments. By correlating historical test case results with product source code changes, we are able to construct a simple model that enables us to dynamically and automatically create test suites that are customized for each individual product software delivery. Using this technique, we are able...
In this paper, we analyze the variation tolerance of time-shared Twin Memristor Crossbar (TMC) for various inter-correlation and intra-correlation parameters. Here the percentage variation in memristance is increased from 0% to 40%. The statistical analysis performed here indicates the original TMC and the time-shared TMC show almost the same tolerance to memristance variation when the variation of...
Several situations require the reliability of hand grasp in different relative positions of the shoulder-elbow system, like handling control elements of working equipment, sporting devices for athletes or rehabilitation supports for temporary or permanently lower limbs impaired people. Therefore the paper presents an experimental method of determining the variation of both anatomical and physiological...
Big Data impose new research challenges in power system industry. Volume and variety of Big Data are crucial parameters for the validation of data processing techniques. Due to the rapid augmentation of Photovoltaics (PVs) installations in many countries the volume of the collected on-site data continually increases. The scope of the present paper is to provide an analysis on an amount of PV power...
The paper offers a detailed statistical analysis of random current fluctuations of the electric arc in the electric arc steel-making furnace EAF-120 using the technology of Consteel continuous feeding of metallic charge. The main aim of this analysis is to define the sections where the random process has stationary and ergodic character, which is a necessary condition for application of the mathematical...
The statistical technique for detecting outliers in multivariate non-Gaussian data on the basis of normalizing transformations and the Mahalanobis squared distance (MSD) is proposed. Application of the technique is considered for detecting outliers in the data of four-variate measurements.
This technical briefing provides an overview of how quantitative empirical research methods can be combined with qualitative ones generating the family of empirical software engineering approaches known as mixed-methods. The ultimate aim of such mixed-methods is supporting cause-effect claims combining multiple data types, sources and analyses that provide software practitioners and academicians solid...
The onset and progression of immune-mediated inflammatory arthritis, such as rheumatoid arthritis and spondyloarthritis, are linked to the IL23-IL17 immune axis, so that many therapeutic strategies aim at modulating this pathway. However, there is so far no possibility of an in vivo direct monitoring, without a biopsy, of the specific T cells involved in this modulation. Synovial perfusion, and thus...
We consider regression testing of safety-critical systems consisting of black-box components. This scenario is common for automotive electronic systems where testing time is expensive and should be reduced without uncontrolled reduction of reliability. This requires a methodology to select test cases from a larger test suite for which a defined quality level of the resulting regression test cycle...
Parkinson disease (PD) is a neurological diseaseoccurring because of the loss or impairment of the cells that produce dopamine present in the substantia nigra of the brain. This insufficiency affects the movement of the muscles and hence people with Parkinson develop speech impairments related to phonation subsystem which influences the voice features, Jitter and Shimmer. The analysis of these parameters...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.