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total: 833
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Catalog
Search results for: AFFECT-ANNOTATED DATABASES
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Workshop on Real-Time Databases
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Mobility in Databases and Distributed Systems
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Deductive and Object-Oriented Databases
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International Workshop on Temporal Databases
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Knowledge Representation Meets Databases
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Dataset of bibliometric data for a research study on tax research retrived from Web of Science.
Open Research DataThis dataset was created for the purpose of research study on taxation research. Analytical data come from the Web of Science (WoS) databases provided by Clarivate Analytics and was retrived in March 2021.
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Jan Franz dr hab.
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DES - polarity, pH and antioxidant potential
Open Research DataThis physicochemical properties of selected deep eutectic solvents (DES) were tested. Polarity is important for extraction efficiency. The values of pH can importantly affect growing of bacteria and yeasts strains. Total phenolic content, DPPH and FRAP methods were used for determination of antioxidant potential of the extract produced with DES.
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Dataset for systematic literature review about phosphorus magnetic resonance spectroscopy (31 P MRS).
Open Research DataThe file contains the publications retrived for systematic literature review from sleceted databases: Web of Science Core Collection, Scopus, Chochrane Library, and Pubmed. Records were identified by using nesting technique. Our search log stated as follow: "phosphorus" AND ("mri spectroscopy" OR "31P MRS").
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International Conference on Very Large Databases
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ACM International Workshop On Multimedia Databases
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Ocena warunków nasłonecznienia i projektowanie elektrowni słonecznych z wykorzystaniem dedykowanego oprogramowania oraz baz danych
PublicationPrzytoczono typowe dla obszaru Polski wartości nasłonecznienia. Zaprezentowano sposoby dokładniejszego określenia wartości nasłonecznienia w oparciu o bazy danych o nasłonecznieniu i aplikacje komputerowe. Narzędzia te pozwalają w pełniejszy sposób uwzględnić kąt nachylenia i azymut modułów fotowoltaicznych, linię horyzontu i zacienienie oraz zmienność nasłonecznienia w ciągu roku na podstawie statystycznych wartości nasłonecznia...
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Geo-Questionnaire for Environmental Planning: The Case of Ecosystem Services Delivered by Trees in Poland
PublicationStudies on society and the environment interface are often based on simple questionnaires that do not allow for an in-depth analysis. Research conducted with geo-questionnaires is an increasingly common method. However, even if data collected via a geo-questionnaire are available, the shared databases provide limited information due to personal data protection. In the article, we present open databases that overcome those limitations....
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Hanna Gaweł
PeopleHanna is a PhD student at the Doctoral School in Social Sciences in the discipline of Social Communication and Media Sciences at the Jagiellonian University and is employed as an Assistant at the Institute of Information Studies of the said university. She received her Master's degree from Jagiellonian University, where she studied Information Management at the Faculty of Management and Social Sciences. Her Bachelor's degree was...
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International Baltic Conference on Databases and Information Systems
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Australian Workshop on Mobile Computing, Databases and Applications
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Database Programming Languages (Databases and Programming Language)
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Development of factors and measurement of personnel risk in the marketing services of four Polish pharmaceutical companies
Open Research DataThis text contains the presentation and analysis of research results in relation to four companies (A, B, C, D), according to the adopted case study method.Further considerations should be preceded by the assumption that personal risk factors often affect the level of this risk in various directions, so their final impact is the result of the shaping...
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Michał Wróbel dr inż.
PeopleMichał Wróbel, Assistant Professor of Gdańsk University of Technology, computer scientist, a specialist in software engineering. I graduated from the Faculty of Electronics Technical University of Gdansk in 2002 with a degree in Computer Science, with specialization in Software Engineering and Databases. Until 2006 I worked as system administrator in several companies, including CI TASK. Since 2006 I have been working at the Faculty...
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Gdańsk University of Technology graduates’ assessment of individual elements of education in the completed field of study – years 2015-2016
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2015-2016 on their assessment of individual elements of education in the completed field of study. The survey was conducted in the period from 2017 to 2018, two years after the respondents obtained graduate status. The research sample included...
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Gdańsk University of Technology graduates’ assessment of individual elements of education in the completed field of study – years 2017-2018
Open Research DataThe dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2017-2018 on their assessment of individual elements of education in the completed field of study. The survey was conducted in the period from 2019 to 2020, two years after the respondents obtained graduate status. The research sample included...
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Knowledge Discovery and Data Mining in Biological Databases Meeting
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IEEE International Workshop on Databases for Next-Generation Researchers
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DUABI - Business Intelligence Architecture for Dual Perspective Analytics
PublicationA significant expansion of Big Data and NoSQL databases made it necessary to develop new architectures for Business Intelligence systems based on data organized in a non-relational way. There are many novel solutions combining Big Data technologies with Data Warehousing. However, the proposed solutions are often not sufficient enough to meet the increasing business demands, such as low data latency while still maintaining high...
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Collaborative Data Acquisition and Learning Support
PublicationWith the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...
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The generalization by simplification operator with the Simplify Building tool of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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NLP Questions Answering Using DBpedia and YAGO
PublicationIn this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answering class 1 and class 2 questions (out of 5 classes defined by Moldovan for TREC conference). Our method uses dependency trees generated from the user query. The trees are browsed for paths leading from the root of the tree to the question...
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The generalization of objects representing groups of buildings in the Kartuzy district by simplification operator with the Simplify Building tool - scale 1:10000. Data from OSM.
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages
PublicationThese days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...
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Krzysztof Goczyła prof. dr hab. inż.
PeopleKrzysztof Goczyła, full professor of Gdańsk University of Technology, computer scientist, a specialist in software engineering, knowledge engineering and databases. He graduated from the Faculty of Electronics Technical University of Gdansk in 1976 with a degree in electronic engineering, specializing in automation. Since then he has been working at Gdańsk University of Technology. In 1982 he obtained a doctorate in computer science...
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Piotr Krajewski dr
PeoplePiotr Krajewski is a librarian at the Library of Gdańsk University of Technology (GUT) and a PhD student at the Medical University of Gdańsk. His research interests focus on the standardization of the e-resources usage data and Open Access publishing, especially the role of institutional repositories in the development of the OA initiative and the phenomenon of “predatory publishers”. He works at Scientific and Technical Information...
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Macroeconomic Reports - Nowy
e-Learning CoursesThis course intends to teach and train students in their analytical skills. Students are supposed to search data and information through international databases and then, using various analytical techniques, prepare a macroeconomic report in selected topic.
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On Facial Expressions and Emotions RGB-D Database
PublicationThe goal of this paper is to present the idea of creating reference database of RGB-D video recordings for recognition of facial expressions and emotions. Two different formats of the recordings used for creation of two versions of the database are described and compared using different criteria. Examples of first applications using databases are also presented to evaluate their usefulness.
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Rural Design Studio
e-Learning CoursesThis design studio aims to ensure that new development in the countryside does not detrimentally affect its setting and is appropriate in terms of design, scale, siting and character.The workshop aims to promote development which compliments rural landscape character; reconciling the requirements of a modern lifestyle with the principles underpinning traditional rural development while promoting “distinctive”, good quality, contemporary...
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Rural Design Studio - 2023
e-Learning CoursesThis design studio aims to ensure that new development in the countryside does not detrimentally affect its setting and is appropriate in terms of design, scale, siting and character.The workshop aims to promote development which compliments rural landscape character; reconciling the requirements of a modern lifestyle with the principles underpinning traditional rural development while promoting “distinctive”, good quality, contemporary...
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BIG PROBLEMS WITH BIG DATA
PublicationThe article presents an overview of the most important issues related to the phenomenon called big data. The characteristics of big data concerning the data itself and the data sources are presented. Then, the big data life cycle concept is formulated. The next sections focus on two big data technologies: MapReduce for big data processing and NoSQL databases for big data storage.
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X-ray diffraction spectra of the NiCo2O4 modified by carbon
Open Research DataThis dataset comprises XRD results for NiCo2O4 modified with carbon, varying according to the amount of carbon. In this context, the XRD data provide insights into the crystalline structure and phase composition of the NiCo2O4 material as it is modified with varying quantities of carbon. This investigation is valuable for understanding how the presence...
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Active Learning Based on Crowdsourced Data
PublicationThe paper proposes a crowdsourcing-based approach for annotated data acquisition and means to support Active Learning training approach. In the proposed solution, aimed at data engineers, the knowledge of the crowd serves as an oracle that is able to judge whether the given sample is informative or not. The proposed solution reduces the amount of work needed to annotate large sets of data. Furthermore, it allows a perpetual increase...
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Grzegorz Gołaszewski dr inż.
PeopleGrzegorz Gołaszewski, lecturer at Gdańsk University of Technology, computer scientist, a specialist in software engineering.Graduated from the Faculty of Electronics, Telecomunications and Informatics of Gdańsk University of Technology in 2004 with a degree in Computer Science, with specialization in Software Engineering and Databases. Affiliated with the faculty since graduation. Praticipated in PIPS and ANGEL research projects....
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Network-aware Data Prefetching Optimization of Computations in a Heterogeneous HPC Framework
PublicationRapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting of multiple collections of nodes with different types of computing devices. The execution engine of the system is open for...
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New 3D printable filaments with nanodiamonds, physicochemical additives characteristics and electrochemical activity
Open Research DataThis dataset contains the physicochemical analyses (XRD, Raman spectroscopy, BET analyses) and electrochemical analyses (CV, EIS) for a new 3D-printable composite has been developed dedicated to electroanalytical applications. Two types of diamondised nanocarbons - detonation nanodiamonds (DNDs) and boron-doped carbon nanowalls (BCNWs) - were added...
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Electrical responses of Graphene-Silicon Schottky diodes toward nitrogen dioxide and tetrahydrofuran under irradiation
Open Research DataGraphene-Silicon Schottky junctions were utilized as gas sensors toward inorganic (nitrogen dioxide) and organic (tetrahydrofuran) gas qualitative and quantitative detection. The electrical responses of the sensors were collected in the form of current-voltage characteristics and measurements of current in time domain for a selected voltage bias. The...
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Wikipedia and WordNet integration based on words co-occurrences
PublicationThe article presents a method for automatic integration of two lexical resources: semantic dictionary WordNet and electronic encyclopaedia Wikipedia. Our goal is to add automatically an semantic tags - a WordNet synset identifier to the title of the Wikipedia article. We've analyze several different ap-proaches to these problem and implement our own solution, based on word occurrences in synsets descriptions and the article body....
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublicationThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
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Photos and rendered images of LEGO bricks
PublicationThe paper describes a collection of datasets containing both LEGO brick renders and real photos. The datasets contain around 155,000 photos and nearly 1,500,000 renders. The renders aim to simulate real-life photos of LEGO bricks allowing faster creation of extensive datasets. The datasets are publicly available via the Gdansk University of Technology “Most Wiedzy” institutional repository. The source files of all tools used during...
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AUTOMATYCZNA KLASYFIKACJA MOWY PATOLOGICZNEJ
PublicationAplikacja przedstawiona w niniejszym rozdziale służy do automatycznego wykrywania mowy patologicznej na podstawie bazy nagrań. W pierwszej kolejności przedstawiono założenia leżące u podstaw przeprowadzonych badan wraz z wyborem bazy mowy patologicznej. Zaprezentowano również zastosowane algorytmy oraz cechy sygnału mowy, które pozwalają odróżnić mowę niezaburzoną od mowy patologicznej. Wytrenowane sieci neuronowe zostały następnie...
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Limitations of Emotion Recognition in Software User Experience Evaluation Context
PublicationThis paper concerns how an affective-behavioural- cognitive approach applies to the evaluation of the software user experience. Although it may seem that affect recognition solutions are accurate in determining the user experience, there are several challenges in practice. This paper aims to explore the limitations of the automatic affect recognition applied in the usability context as well as...
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Open Research DataThe process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the Open Street Map databases (OSM) [1].
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BIG DATA SIGNIFICANCE IN REMOTE MEDICAL DIAGNOSTICS BASED ON DEEP LEARNING TECHNIQUES
PublicationIn this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential...
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Musical Instrument Separation Applied to Music Genre Classification . Separacja instrumentów muzycznych w zastosowaniu do rozpoznawania gatunków muzycznych
PublicationThis paper outlines first issues related to music genre classification and a short description of algorithms used for musical instrument separation. Also, the paper presents proposed optimization of the feature vectors used for music genre recognition. Then, the ability of decision algorithms to properly recognize music genres is discussed based on two databases. In addition, results are cited for another database with regard to...