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Search results for: musical information retrieval
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Spectral Clustering Wikipedia Keyword-Based search Results
PublicationThe paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...
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Sound quality metrics applied to road noise evaluation
PublicationRoad noise monitoring systems typically measure sound levels in specific time periods. The more insightful approach suggests to measure also the nature of noise. Sound quality of sounds such as car noise can be objectively evaluated by several parameters. One of them is psychoacoustic annoyance, described by loudness, tone color, and the temporal structure of sound. In this paper the assessment of several sound quality parameters, such...
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Z informacji naukowej – rossica i sovietica w bibliografii piśmiennictwa polskiego. Bibliograficzna baza danych za lata 1862–2015 [On scholarly information – Rossica and Sovietica in the bibliography of Polish writings. Bibliographical database fo the years 1862–2015]
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Approaching Secure Industrial Control Systems
PublicationThis study presents a systematic approach to secure industrial control systems based on establishing a business case followed by the development of a security programme. To support these two fundamental activities the authors propose a new method for security cost estimation and a security assessment scheme. In this study they explain the cost evaluation technique and illustrate with a case study concerning the assessment of the...
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Robert Piotrowski dr hab. inż.
PeopleRobert Piotrowski jest absolwentem Wydziału Elektrotechniki i Automatyki (2001r., kierunek: Automatyka i Robotyka) oraz Wydziału Zarządzania i Ekonomii (2002r., kierunek: Organizacja Systemów Produkcyjnych) Politechniki Gdańskiej. Od 2005 roku jest zatrudniony na Wydziale Elektrotechniki i Automatyki, aktualnie w Katedrze Inteligentnych Systemów Sterowania i Wspomagania Decyzji. W 2005 roku obronił rozprawę doktorską (Automatyka...
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Information Assurance Group (IAG)
Research TeamsGrupa koncentruje się na zarządzaniu ryzykiem i zaufaniem w odniesieniu do różnych cech oprogramowania i systemów informatycznych, np. Bezpieczeństwa, niezawodności i prywatności. Szczególnie interesujące jest pojęcie Trust Case i powiązanej metodologii Trust-it.
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Design and Evaluation of the Platform for Weight-Shifting Exercises with Compensatory Forces Monitoring
PublicationDetails of a platform for the rehabilitation of people with severe balance impairment are discussed in the paper. Based upon a commercially available static parapodium, modified to fit force sensors, this device is designed to give a new, safe tool to physiotherapists. It is designed for the patients who cannot maintain equilibrium during a bipedal stance and need to hold to or lean on something during the rehabilitation. Visual,...
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Music genre classification applied to bass enhancement for mobile technology
PublicationThe aim of this paper is to present a novel approach to the Virtual Bass Synthesis (VBS) algorithms applied to portable computers. The proposed algorithm is related to intelligent, rule-based setting of synthesis parameters according to music genre of an audio excerpt. The classification of music genres is automatically executed employing MPEG 7 parameters and the Principal Component Analysis method applied to reduce information...
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Cezary Orłowski prof. dr hab. inż.
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User Trust Levels and Their Impact on System Security and Usability
PublicationA multilateral trust between a user and a system is considered. First of all we concentrate on user trust levels associated with the context-oriented CoRBAC model. Consequently, there were computed user profiles on the basis of its implementation in the information processing system “My GUT”. Furthermore, analysis of these profiles and the impact of user trust levels on system security and usability have been discussed.
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STUDIA INFORMATICA. SYSTEMS AND INFORMATION TECHNOLOGY. SYSTEMY I TECHNOLOGIE INFORMACYJNE
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Proceedings of the Romanian Academy Series A-Mathematics Physics TechnicalSciences Information Science
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Information based integration for complex systems. W: Knowledge and infor-mation technology management in the 21st century organizations. Ed. A. Gu- nasekaran, O. Khalil, M.R. Syed. London: Idea**2002 s. 89-104 Informacyjna integracja systemów złożonych.
PublicationW rozdziale zaproponowano strukturę inteligentnego systemu wspomagania pro-cesu integracji dla złożonych systemów wytwarzania. System wspomagania opar-to na bazie wiedzy, w której wiedza modelowana jest regulami produkcji. Zbu-dowano również iteracyjny algorytm integracji. Samą ideę integracji opartona przepływach informacyjnych.
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Marek Czachor prof. dr hab.
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Speech Analytics Based on Machine Learning
PublicationIn this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...
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Maciej Łuszczek dr hab. inż.
PeopleMaciej Łuszczek born in 1967 in Gdynia. He received the M.Sc. degree in Applied Physics in 1991, the Ph.D. degree in 1999, and the D.Sc. (‘habilitation’) degree in 2015, all from the Gdańsk University of Technology. Since 1991 he has been with the above university, initially at the Faculty of Applied Physics and Mathematics, Department of Solid State Physics, and currently (since 2015) at the Faculty of Electrical and Control Engineering,...
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Nonlinear Modeling in Time Domain Numerical Analysis of Stringed Instrument Dynamics
PublicationMusical instruments are very various in terms of sound quality with their timbre shaped by materials and geometry. Materials' impact is commonly treated as dominant one by musicians, while it is unclear whether it is true or not. The research proposed in the study focuses on determining influence of both these factors on sound quality based on their impact on harmonic composition. Numerical approach has been chosen to allowed independent...
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Testing a Variety of Features for Music Mood Recognition. Testowanie zestawu parametrów w celu rozpoznawania nastroju w muzyce
PublicationMusic collections are organized in a very different way depending on a target, number of songs or a distribution method, etc. One of the high-level feature, which can be useful and intuitive for listeners, is “mood”. Even if it seems to be the easiest way to describe music for people who are non-experts, it is very difficult to find the exact correlation between physical features and perceived impressions. The paper presents experiments...
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Ocena efektywności monitoringu obiektów inżynierskich za pomocą sieci Bayesa
PublicationW swojej pracy autorzy zaproponowali zastosowanie sieci Bayesa do projektowania monitoringu i podejmowania decyzji w działaniach eksploatacyjnych. Ponadto pokazano dwie metody oceny wartości informacji diagnostycznych. Pierwszą z nich jest wartość oczekiwana EVSI (ang. Expected Value of Sample Information), która stanowi podstawę do wyboru spośród alternatywnych obserwacji symptomów zmiennej diagnostycznej. Natomiast drugą metodą...
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Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method
PublicationHistoric buildings, due to their architectural, cultural, and historical value, are the subject of preservation and conservatory works. Such operations are preceded by an inventory of the object. One of the tools that can be applied for such purposes is Light Detection and Ranging (LiDAR). This technology provides information about the position, reflection, and intensity values of individual points; thus, it allows for the creation...
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Discovering interactions between applications with log analysis
PublicationApplication logs record the behavior of a system during its runtime and their analysis can provide useful information. In this article, we propose a method of automated log analysis to discover interactions taking place between applications in an enterprise. We believe that such an automated approach can greatly support enterprise architects in building an up-to-date view of a governed system in a modern, fast-paced development...
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Self Organizing Maps for Visualization of Categories
PublicationVisualization of Wikipedia categories using Self Organizing Mapsshows an overview of categories and their relations, helping to narrow down search domains. Selecting particular neurons this approach enables retrieval of conceptually similar categories. Evaluation of neural activations indicates that they form coherent patterns that may be useful for building user interfaces for navigation over category structures.
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Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition
PublicationThe idea that synchronous neural activity underlies cognition has driven an extensive body of research in human and animal neuroscience. Yet, insufficient data on intracranial electrical connectivity has precluded a direct test of this hypothesis in a whole-brain setting. Through the lens of memory encoding and retrieval processes, we construct whole-brain connectivity maps of fast gamma (30-100 Hz) and slow theta (3-8 Hz) spectral...
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Analysis-by-synthesis paradigm evolved into a new concept
PublicationThis work aims at showing how the well-known analysis-by-synthesis paradigm has recently been evolved into a new concept. However, in contrast to the original idea stating that the created sound should not fail to pass the foolproof synthesis test, the recent development is a consequence of the need to create new data. Deep learning models are greedy algorithms requiring a vast amount of data that, in addition, should be correctly...
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Top k Recommendations using Contextual Conditional Preferences Model
PublicationRecommender systems are software tools and techniques which aim at suggesting to users items they might be interested in. Context-aware recommender systems are a particular category of recommender systems which exploit contextual information to provide more adequate recommendations. However, recommendation engines still suffer from the cold-start problem, namely where not enough information about users and their ratings is available....
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Automatic detection and correction of detuned singing system for use with query-by-humming applications
PublicationThe aim of the paper is to present an idea of using the automatic detection and correction of detuned singing as a subsystem in query-by-humming (QBH) applications. The common approach to searching for a requested song basing on the melody retrieved from hummed pattern usually employs the so-called Parsons code or melody contour. In such a case information about sound pitch is discarded. It was thought out that an additional module...
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Introduction to the special issue on intelligent systems to aid the handicapped.
PublicationWśród wielu zastosowań sztucznej inteligencji i technologii bazodanowych pojawiają się zastosowania wspierające osoby niepełnosprawne. Z chwilą pojawienia są każdej nowej technologii komputerowej świat naukowy proponuje zastosowania tej technologii do celu poprawy komunikacji z osobami niepełnosprawnymi bądź technologie wspierające te osoby bezpośrednio. Niniejsze wydanie specjalne czasopisma Journal of Intelligent Information...
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublicationThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
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Dynamic Bayesian Networks for Symbolic Polyphonic Pitch Modeling
PublicationSymbolic pitch modeling is a way of incorporating knowledge about relations between pitches into the process of an- alyzing musical information or signals. In this paper, we propose a family of probabilistic symbolic polyphonic pitch models, which account for both the “horizontal” and the “vertical” pitch struc- ture. These models are formulated as linear or log-linear interpo- lations of up to fi ve sub-models, each of which is...
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International Workshop on Multimedia Data Storage, Retrieval, Integration and Applications
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Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
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Zdzisław Kowalczuk prof. dr hab. inż.
PeopleZdzislaw Kowalczuk received his M.Sc. degree in 1978 and Ph.D. degree in 1986, both in Automatic Control from Technical University of Gdańsk (TUG), Gdańsk, Poland. In 1993 he received his D.Sc. degree (Dr Habilitus) in Automatic Control from Silesian Technical University, Gliwice, Poland, and the title of Professor from the President of Poland in 2003. Since 1978 he has been with Faculty of Electronics, Telecommunications and Informatics...
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Extending loophole-free nonlocal correlations to arbitrarily large distances
PublicationQuantum theory allows spatially separated observers to share nonlocal correlations, which enable them to accomplish classically inconceivable information processing and cryptographic feats. However, the distances over which nonlocal correlations can be realized remain severely limited due to their high fragility to noise and high threshold detection efficiencies. To enable loophole- free nonlocality across large distances, we introduce...
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A conceptual framework for digital tax administration - A systematic review
PublicationTax administrations worldwide have become highly digitised with a diverse and sophisticated array of e-services to enhance the taxpayer experience. Nevertheless, given the high rates of failure of e-government services, it is critical to understand the factors that are essential to the success of a digital tax system. Drawing on a systematic review of ninety-six publications across the digital taxation, taxation, and information...
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Las pełen muzyki:Unikatowe walory architektury Opery Leśnej w Sopocie, dawniej i obecnie
PublicationZakończona sukcesem współczesna modernizacja architektury , konstrukcji i elementów nowej estetyki kultowego obiektu Opery Leśnej w Sopocie daje podstawę do snucia optymistycznych wniosków na temat przyszłości rozwoju kultury muzycznej w szerokim tego słowa znaczeniu Cała.przestrzeń nowoczesnego funkcjonalnego obiektu o innowacyjnej konstrukcji zadaszenia nad sceną i powiększoną 5000 miejs- widownią ,jest nową atrakcja...
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Traffic Noise Analysis Applied to Automatic Vehicle Counting and Classification
PublicationProblems related to determining traffic noise characteristics are discussed in the context of automatic dynamic noise analysis based on noise level measurements and traffic prediction models. The obtained analytical results provide the second goal of the study, namely automatic vehicle counting and classification. Several traffic prediction models are presented and compared to the results of in-situ noise level measurements. Synchronized...
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A detector of sleep disorders for using at home
PublicationObstructive sleep apnea usually requires all-ni ght examination in a specialized clinic, under the supervision of a medical staff. Because of those requirements it is an expensive and a non-widely utilized test. Moving the examination procedure to patients’ home with automatic analysis algorithms involved will decrease the costs and make it available for larger group of patients. The developed device allows all-night recordings...
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Digital government evolution: From transformation to contextualization
PublicationThe Digital Government landscape is continuously changing to reflect how governments are trying to find innovative digital solutions to social, economic, political and other pressures, and how they transform themselves in the process. Understanding and predicting such changes is important for policymakers, government executives, researchers and all those who prepare, make, implement or evaluate Digital Government decisions. This...
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Call and Connections Times in ASON/GMPLS Architecture
PublicationIt is assumed that demands of information soci- ety could be satisfied by architecture ASON/GMPLS comprehended as Automatically Switched Optical Network (ASON) with Generalized Multi-Protocol Label Switching (GMPLS) protocols. Introduction this solution must be preceded by performance evaluation to guarantee society expectations. Call and connections times are in ASON/GMPLS architecture important for real-time applications. Practical...
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Jakub Miler dr inż.
PeopleAcademic career: 2000: Master of Science - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "Computer system for supporting risk management in a software engineering project", supervisor prof. Janusz Górski 2005: PhD - Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, thesis "A Method of Software Project Risk Identification and Analysis",...
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Jerzy Balicki dr hab. inż.
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Fast collaborative graph exploration
PublicationWe study the following scenario of online graph exploration. A team of k agents is initially located at a distinguished vertex r of an undirected graph. At every time step, each agent can traverse an edge of the graph. All vertices have unique identifiers, and upon entering a vertex, an agent obtains the list of identifiers of all its neighbors. We ask how many time steps are required to complete exploration, i.e., to make sure...
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Applying Web 2.0 Concepts to Creating Energy Planning Portal
PublicationCommunity authorities in Europe are tasked to create Advanced Local Energy Plans (ALEP), which encompasses collecting local data on current energy use and generation, as well as generating future development scenarios. Both the data and the development scenarios must be publicly accessible as a basis for energy-related decisions taken by residents, local companies and other local institutions. The data must partially be collected...
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Data governance: Organizing data for trustworthy Artificial Intelligence
PublicationThe rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements....
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Agnieszka Szymik mgr
PeopleAgnieszka Szymik is an e-resources librarian at Gdańsk University of Technology Library in Scientific Information Services. Agnieszka graduated from Jagiellonian University in Cracow with a major in Information and Library Science, specializing in Digital Resources and Electronic Publishing. Currently, she is responsible for managing online resources and databases and teaches an e-learning course on Information Literacy. Agnieszka...
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Remote learning among students with and without reading difficulties during the initial stages of the COVID-19 pandemic
PublicationThis article presents the results of a survey on yet under-researched aspects of remote learning and learning difficulties in higher education during the initial stage (March – June 2020) of the COVID-19 pandemic. A total of 2182 students from University of Warsaw in Poland completed a two-part questionnaire regarding academic achievements in the academic year 2019/2020, living conditions and stress related to learning and pandemic,...
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Management of Textual Data at Conceptual Level
PublicationThe article presents the approach to the management of a large repository of documents at conceptual level. We describe our approach to representing Wikipedia articles using their categories. The representation has been used to construct groups of similar articles. Proposed approach has been implemented in prototype system that allows to organize articles that are search results for a given query. Constructed clusters allow to...
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Zanieczyszczenie obecne w próbkach śniegu pobranego z warstw jako źródło informacji o stanie środowiska w dużej aglomeracji miejskiej = Pollutants present in snow samples collected from various layers of snow cover as a source of information about the state of environment in a big urban agglomeration
PublicationPróbki śniegu pobierano przez okres około miesiąca z 12 miejsc zlokalizowanych na terenie Trójmiasta. Sześć z nich znajdowało się w pobliżu dróg komunikacyjnych o różnym natężeniu ruchu. Każde z nich miało swój punkt odniesienia oddalony od niego o około 200 m. W próbkach śniegu oznaczano pH, przewodność, zawartość wybranych anionów i kationów. Wartości pH wyznaczono przy użyciu elektrody szklanej połączonej z pH/tlenomierzem mikrokomputerowym,...
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Melody Harmonization with Interpolated Probabilistic Models
PublicationMost melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric structure, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation....
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Multimedia System for Environmental Noise Monitoring. [Multimedialny System Monitorowania Hałasu Środowiskowego]
PublicationIntroductionNumerous reports relating to noise threats in Poland indicate that they occur commonly. The noise has an enormous impact on the health and life quality of the human beings. Noise pollution in Poland is greater than in others UE countries, moreover it has been increased recently. Taking into account 2002/49/WE directive related to the control and assessment of environmental noise a necessity of monitoring these threats...