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- Dane Badawcze 38 wyników po odfiltrowaniu
Wyniki wyszukiwania dla: AFFECT-ANNOTATED 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.
Dane BadawczeThis 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
Dane BadawczeThis 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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Ocena warunków nasłonecznienia i projektowanie elektrowni słonecznych z wykorzystaniem dedykowanego oprogramowania oraz baz danych
PublikacjaPrzytoczono 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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Dataset for systematic literature review about phosphorus magnetic resonance spectroscopy (31 P MRS).
Dane BadawczeThe 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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Geo-Questionnaire for Environmental Planning: The Case of Ecosystem Services Delivered by Trees in Poland
PublikacjaStudies 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
OsobyHanna Gawel is a Doctoral Student of the Doctoral School in the Social Sciences in the discipline of Social Communication and Media at Jagiellonian University. Hanna’s research focuses on knowledge, information management and the influence of well-served information in different formats on society. She is currently writing a PhD thesis about how information pollutants affect information regarding air quality in Polish metropolises....
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Piotr Krajewski dr
OsobyPiotr Krajewski pracuje jako starszy bibliotekarz w Bibliotece Politechniki Gdańskiej. Jako pracownik Sekcji Informacji Naukowo-Technicznej skupia się przede wszystkim na zagadnieniach związanych z ruchem Open Access oraz rolą repozytoriów instytucjonalnych w jego rozwoju. Jest także autorem artykułów poruszających kwestie standaryzacji statystyk wykorzystania zasobów elektronicznych jak również problematykę „drapieżnych wydawców”....
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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
Dane BadawczeThis 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.
OsobyMichał Wróbel, adiunkt na wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej, informatyk, specjalizujący się w Inżynierii Oprogramowania. Ukończył Wydział ETI w 2002 roku, jako magister inżynier ze specjalnością Inżynieria Systemów i Bazy Danych. Do 2006 roku pracował jako administrator systemów, m.in. w CI TASK. Od 2006 roku pracuje na wydziale ETI. W 2011 otrzymał stopień naukowy doktora w dziedzinie...
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Gdańsk University of Technology graduates’ assessment of individual elements of education in the completed field of study – years 2015-2016
Dane BadawczeThe 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
Dane BadawczeThe 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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Collaborative Data Acquisition and Learning Support
PublikacjaWith 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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DUABI - Business Intelligence Architecture for Dual Perspective Analytics
PublikacjaA 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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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
Dane BadawczeThe 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
PublikacjaIn 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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A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages
PublikacjaThese 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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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.
Dane BadawczeThe 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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Krzysztof Goczyła prof. dr hab. inż.
OsobyKrzysztof Goczyła, profesor zwyczajny Politechniki Gdańskiej, informatyk, specjalista z inżynierii oprogramowania, inżynierii wiedzy i baz danych. Ukończył studia wyższe na Wydziale Elektroniki Politechniki Gdańskiej w 1976 r. jako magister inżynier elektronik w specjalności automatyka. Na Politechnice Gdańskiej pracuje od 1976. Na Wydziale Elektroniki PG w 1982 r. uzyskał doktorat z informatyki, a w 1999 r. habilitację. W 2012...
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Macroeconomic Reports - Nowy
Kursy OnlineThis 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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Rural Design Studio
Kursy OnlineThis 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
Kursy OnlineThis 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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On Facial Expressions and Emotions RGB-D Database
PublikacjaThe 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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BIG PROBLEMS WITH BIG DATA
PublikacjaThe 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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Active Learning Based on Crowdsourced Data
PublikacjaThe 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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X-ray diffraction spectra of the NiCo2O4 modified by carbon
Dane BadawczeThis 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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Grzegorz Gołaszewski dr inż.
OsobyGrzegorz Gołaszewski, wykładowca na wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej, informatyk, specjalizujący się w Inżynierii Oprogramowania.Ukończył Wydział ETI PG w roku 2004 ze specjalnością Inżynieria Systemów i Bazy Danych. Pozostał związany z wydziałem po ukończeniu studiów. Uczestniczył w projektach badawczych PIPS oraz ANGEL. W 2017 roku uzyskał stopień doktora w dziedzinie nauk technicznych....
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Network-aware Data Prefetching Optimization of Computations in a Heterogeneous HPC Framework
PublikacjaRapid 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
Dane BadawczeThis 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
Dane BadawczeGraphene-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
PublikacjaThe 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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Photos and rendered images of LEGO bricks
PublikacjaThe 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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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis 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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Limitations of Emotion Recognition in Software User Experience Evaluation Context
PublikacjaThis 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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AUTOMATYCZNA KLASYFIKACJA MOWY PATOLOGICZNEJ
PublikacjaAplikacja 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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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Dane BadawczeThe 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
PublikacjaIn 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
PublikacjaThis 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...
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EvOLAP Graph – Evolution and OLAP-Aware Graph Data Model
PublikacjaThe objective of this paper is to propose a graph model that would be suitable for providing OLAP features on graph databases. The included features allow for a multidimensional and multilevel view on data and support analytical queries on operational and historical graph data. In contrast to many existing approaches tailored for static graphs, the paper addresses the issue for the changing graph schema. The model, named Evolution...
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Emotion Recognition Based on Facial Expressions of Gamers
PublikacjaThis article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analyzed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear. The approach presented in this...
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The generalization by simplification operator with Sester’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM
Dane BadawczeThe 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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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Gdańsk district - scale 1:10000. Data from OSM
Dane BadawczeThe 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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The generalization by simplification operator with Chrobak’s method of objects representing groups of buildings in Kartuzy district - scale 1:10000. Data from OSM.
Dane BadawczeThe 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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Effect of electrode resistance on admittance spectra of planar organic device carrying SCLC and on charge carrier mobility extracted from susceptance
PublikacjaThe work presents small signal admittance spectra of a sandwich system with thin organic layer carrying a space charge limited current. The effect of series resistance of electrodes on the spectra is discussed. Spectra of small signal capacitance are added to get more detailed insight. The analysis performed shows that the series resistance can affect both parts of small signal response within a whole range of frequency. Moreover,...
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Towards Emotion Acquisition in IT Usability Evaluation Context
PublikacjaThe paper concerns extension of IT usability studies with automatic analysis of the emotional state of a user. Affect recognition methods and emotion representation models are reviewed and evaluated for applicability in usability testing procedures. Accuracy of emotion recognition, susceptibility to disturbances, independence on human will and interference with usability testing procedures are...
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Gender Disparity in the FinTech Sector: Systematic Literature Review
PublikacjaThe main objective of this chapter is to identify research areas of FinTech activity in which gender disparity has been observed. In addition, we shall identify how the development of FinTech reduces the gender gap. A systematic literature review using the PRISMA concept is the preferred research method. Publications were searched in the following databases: Web of Science, Scopus and Google Scholar using the formula “FinTech AND...
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A study of nighttime vehicle detection algorithms
Dane BadawczeThis dataset is from my master's thesis "A study of nighttime vehicle detection algorithms". It contains both raw data and preprocessed dataset ready to use. In the pictures below you can see how images were annotated.
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PARAMETERS OF THE ELECTROPHORETIC DEPOSITION PROCESS AND ITS INFLUENCE ON THE MORPHOLOGY OF HYDROXYAPATITE COATINGS. REVIEW
PublikacjaMetallic materials intended for bone implants should exhibit not only appropriate mechanical properties, but also high biocompatibility. The surface treatment modifications, for example acidic treatment, laser treatment, ion implantation and deposition of highly biocompatible coatings, are practiced. One of the most popular methods of surface modification is to deposit hydroxyapatite (HAp) coatings. HAp naturally occurs in human...
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Semantic technologies based method of collection, processing and sharing information along food chain
PublikacjaIn the paper the method of collecting, processing and sharing information along food chain is presented. Innovative features of that method result from advantages of data engineering based on semantic technologies. The source to build ontology are standards and regulations related to food production, and data collected in databases owned by food chain participants. It allows food chain information resources can be represented in...
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Hierarchical random models in road transport safety
PublikacjaIn this paper multilevel approach to the issue of road safety level on the road network of European regions, classified as NUTS 2 in statistical databases of the EU, has been presented. The risk calculated as the number of death casualties in road accidents per 100,000 inhabitants of a given region has Poisson distribution. Therefore, generalized Poisson model has been assumed in the modelling process. Multilevel stochastic analysis...
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Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech
PublikacjaWe propose a weakly-supervised model for word-level mispronunciation detection in non-native (L2) English speech. To train this model, phonetically transcribed L2 speech is not required and we only need to mark mispronounced words. The lack of phonetic transcriptions for L2 speech means that the model has to learn only from a weak signal of word-level mispronunciations. Because of that and due to the limited amount of mispronounced...
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The data exchange between smart glasses and healthcare information systems using the HL7 FHIR standard
PublikacjaIn this study we evaluated system architecture for the use of smart glasses as a viewer of information, as a source of medical data (vital sign measurements: temperature, pulse rate, and respiration rate), and as a filter of healthcare information. All activities were based on patient/device identification procedures using graphical markers or features based on visual appearance. The architecture and particular use cases were implemented...
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Mask Detection and Classification in Thermal Face Images
PublikacjaFace masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify...
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LIDAR data from a survey conducted in the vicinity of the town of Lake Lednica
Dane BadawczeThe measurement data was obtained during research aimed at utilizing LiDAR observations to assess changes occurring in the shoreline of Lake Lednica. The collected information comes from a spatial survey conducted using a scanner mounted on an unmanned aerial vehicle (ALS, in the IR channel). This advanced measurement system allows for precise registration...
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Detection of the acoustic interferences during AFM operation
Dane BadawczeAtomic force microscopy is a particularly complicated surface imaging technique due to the large number of factors that affect the quality of the resulting images. They are obviously difficult and sometimes even impossible to control at the same time. One of such factors may even be the seismological location of the building or the influence of mechanical...
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The effects of selected factors on pedestrian crossings in urban areas
PublikacjaPedestrian crossings are designed to help pedestrians cross a road. There are at-grade pedestrian crossings with or without traffic lights and grade separated crossings such as subways and footbridges. Pedestrian crossings may be located next to a junction or on road sections between junctions. Where at-grade crossings are involved, pedestrians and motorists interact, which may lead to dangerous situations and road traffic conflicts....
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Cation sensing by diphenyl-azobenzocrowns
PublikacjaMetal cations complexation and proton binding by 13- and 16-membered diphenyl-azobenzocrowns and diphenyl-hydroxyazobenzocrowns were studied in acetonitrile using spectroscopic methods: UV–vis spectroscopy, spectrofluorimetry, and 1H NMR spectroscopy. Phenyl moieties in benzene rings were found to affect binding strength alkali and alkaline earth metal cations and hydrogen ion, and affect tautomeric equilibrium of hydroxyazobenzocrowns....
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Selected information technology tools supporting for maintenance and operation management electrical grids
PublikacjaThe paper presents the main issues of management of electrical grids. Selected information technology tools supporting for electrical grids maintenance are presented. In electrical infrastructure maintenance of power companies the geographic information systems are increasingly used to support the management of theirs resources. Their functionalities in terms creating comprehensive databases for electrical infrastructure of power...
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Analytical eco-scale for assessing the greenness of analytical procedures
PublikacjaWe propose the analytical eco-scale as a novel comprehensive approach to evaluating the greenness of analytical methodology. It is based on assigning penalty points to parameters of an analytical process that are not in agreement with the ideal green analysis. This approach compares different parameters and different steps of the analytical process. Traditional green chemistry metrics 9e.g. Atom Economy, E-factor and Reaction Mass...
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Increased inspiratory resistance alters the cardiac contribution to the dynamic relationship between blood pressure and pial artery pulsation oscillations in healthy subjects
PublikacjaThere is increasing evidence that heart performance directly influences cerebral perfusion. We hypothesised that increased inspiratory resistance will affect the cardiac contribution to the relationship between blood pressure and pial artery pulsation oscillations.
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[PP.17.01] INCREASED INSPIRATORY RESISTANCE AFFECTS THE CARDIAC CONTRIBUTION TO THE RELATIONSHIP BETWEEN BLOOD PRESSURE AND PIAL ARTERY PULSATION OSCILLATIONS
PublikacjaThere is increasing evidence that heart performance directly influences cerebral perfusion. We hypothesised that increased inspiratory resistance would affect the cardiac contribution to the relationship between blood pressure and pial artery pulsation oscillations.
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Open Access w naukach biomedycznych
PublikacjaOpen Access (OA) Movement to nazwa ruchu społecznego, którego celem jest zminimalizowanie przeszkód w upowszechnianiu wyników badań naukowych, a także bardziej efektywne wykorzystywanie nakładów na naukę. Jego historia sięga lat sześćdziesiątych XX wieku, kiedy pojawiły się pierwsze formy sieci rozległych, ale zasadniczy rozwój nastąpił w latach dziewięćdziesiątych wraz z nadejściem tzw. ery cyfrowej. Pojawiła się wówczas koncepcja...
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Information Extraction from Polish Radiology Reports using Language Models
PublikacjaRadiology reports are vital elements of directing patient care. They are usually delivered in free text form, which makes them prone to errors, such as omission in reporting radiological findings and using difficult-to-comprehend mental shortcuts. Although structured reporting is the recommended method, its adoption continues to be limited. Radiologists find structured reports too limiting and burdensome. In this paper, we propose...
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An Overview of the Development of a Real-Time System for Endoscopic Video Classification
PublikacjaThe article presents the results of improving endoscopic image classification algorithms in an effort towards applying them in a real-time diagnosis supporting system. Methods for the detection and removal of personal data are presented and discussed. The currently developed recognition algorithms have been improved in terms of accuracy and performance to make them suitable for a real-life implementation. Their test results are...
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Diagnostic system of wheeled tractors detecting four defect's categories
PublikacjaIn a classical approach to damage diagnosis, the technical condition of an analyzed machine is identified based on the measured symptoms, such as performance, thermal state or vibration parameters. In wheeled tractor the fundamental importance has monitoring and diagnostics during exploitation concerning technical inspection and fault element localizations. The main functions of a diagnostic system are: monitoring tractor components...
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The effect of full-cell impregnation of pine wood (Pinus Sylvestris L.) on the fine dust content during sawing on a frame sawing machine
PublikacjaIn this paper the results of the analysis of the effect of the impregnation treatment of pine wood on the granularity of sawdust from the sawing process on the frame sawing machine PRW 15M are presented. Granulometric analyses of chips from impregnated and unimpregnated pine wood implies that the impregnation of pine wood does not affect the size and structure of the sawdust produced. A major ≈ 95% share of the formed chips is...
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STRUCTURE AND ALGORITHMS OF A DIAGNOSTIC DEVICE IN A WHEELED TRACTOR
PublikacjaDiagnostic device monitors the tractor’s technical condition and identifies the location of damaged components during operation. The diagnostic device detects and identifies the following types of defects: functional defects (uf) which affect performance, exhaust defects (ue) which increase toxic emissions and fuel consumption, defects that jeopardize driving safety (us), defects that affect engine performance (ud). The key component...
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Impact of Volcanic Eruptions on the Occurrence of PAHs Compounds in the Aquatic Ecosystem of the Southern Part of West Spitsbergen (Hornsund Fjord, Svalbard)
PublikacjaThe paper presents changes in concentration levels of dioxin-like compounds that can be observed over the course of four study seasons in water samples collected from the Arctic watershed of Svalbard. The conducted analysis involved anthropogenic and natural factors that may affect the concentration of PAHs in the study samples of water. An attempt is made to indicate the emission source of the compounds being deposited and to...
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MODEL OF MULTILEVEL STOCHASTIC ANALYSIS OF ROAD SAFETY ON REGIONAL LEVEL
PublikacjaIn this paper multilevel approach to the issue of road safety level on the road network of European regions, classified as NUTS 2 in statistical databases of the European Union, has been presented. Following the pattern of many publications on road safety it has been assumed that the risk calculated as the number of death casualties in road accidents per 100,000 inhabitants of a given region has Poisson distribution. Therefore,...
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REALIZACJA USŁUGI DSR NA PRZYKŁADZIE DOMÓW JEDNORODZINNYCH
PublikacjaW artykule przedstawiono ideę usługi DSR, czyli reakcji strony popytowej, dla odbiorców rozproszonych. Polega ona na zmniejszeniu zapotrzebowania na energię elektryczną lub przesunięcia go w czasie. Wdrożenie usługi może w znaczny sposób wpłynąć na pracę systemu elektroenergetycznego – usługa DSR może wspomóc bilansowanie systemu elektroenergetycznego, a także pozytywnie oddziaływać na jego elastyczność, wydajność oraz stabilność....
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Agnieszka Szymik mgr
OsobyAgnieszka Szymik pracuje w Bibliotece Politechniki Gdańskiej w Sekcji Informacji Naukowo-Technicznej. Jest absolwentką informacji naukowej i bibliotekoznawstwa oraz filologii polskiej na Uniwersytecie Jagiellońskim, ukończyła także kulturoznawstwo na Uniwersytecie Gdańskim. Na studiach realizowała specjalizację zasoby cyfrowe i elektroniczne publikowanie. Na obecnym stanowisku odpowiada za zarządzanie bazami danych i zasobami elektronicznymi,...
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Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
PublikacjaAge prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age verification purposes. Research on these issues is usually carried out using high-resolution X-ray scans of parts of the body, such as images of the hands or images of the chest. In this...
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Self-Supervised Learning to Increase the Performance of Skin Lesion Classification
PublikacjaTo successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associated with the shortage of data, the most common of which is transfer learning. However, in many cases, the use of transfer learning as the only remedy is insufficient. In this study,...
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The chemical and mechanical pressure influence on chromium luminescence
Dane BadawczeIn this study, we aim to compare the changes in the luminescence properties of Ga2O3:Cr3+ modified by Al or Sc ion substitution (chemical pressure) and hydrostatic pressure. We find the same behavior for Ga2–xAlxO3:Cr3+ and different behavior for Ga2–xScxO3:Cr3+ in terms of the optical properties under chemical and mechanical pressure. We consider Al...
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Attitudes to tree removal on private property in rural and urban Polish municipalities.
Dane BadawczeThe urban-rural divide is an important factor known to affect public opinion on issues related to environmental protection and management. The present data set allows for a deeper understanding of this issue with respect to policies dealing with tree removal on private property in two municipalities located in southern Poland: Racibórz (an urban municipality)...
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The influence of external interference on AFM imaging, the use of a protective helmet
Dane BadawczeThis collection is of purely practical importance, showing how the presence of external disturbances can adversely affect the quality of imaging with an atomic force microscope. For this reason, it is also advisable to provide a link to a workshop-like study [1] as well as a huge number of commercial solutions available after entering the keyword "AFM...
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Emotions in Human-Computer Interaction Research Group (EMORG)
Zespoły Badawcze* rozpoznawanie emocji użytkownika (ang. emotion elicitation) * reprezentację informacji o emocjach użytkownika (ang. emotion representation/ affect modelling) i zarządzanie nimi * ekspresję emocji lub reakcję na emocje przez programy np. przez wirtualne postaci (ang. affect expression) * wybrane zastosowania to badanie użyteczności oprogramowania rozszerzone o aspekty emocjonalne * badania wzorców behawioralnych w połączeniu...
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PPAM 2022
WydarzeniaThe PPAM 2022 conference, will cover topics in parallel and distributed computing, including theory and applications, as well as applied mathematics.
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The complexity of bicriteria tree-depth
PublikacjaThe tree-depth problem can be seen as finding an elimination tree of minimum height for a given input graph G. We introduce a bicriteria generalization in which additionally the width of the elimination tree needs to be bounded by some input integer b. We are interested in the case when G is the line graph of a tree, proving that the problem is NP-hard and obtaining a polynomial-time additive 2b-approximation algorithm. This particular...
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Rapid Assays for Specific Detection of Fungi of Scopulariopsis and Microascus Genera and Scopulariopsis brevicaulis Species
PublikacjaPurpose Fungi of Scopulariopsis and Microascus genera cause a wide range of infections, with S. brevicaulis being the most prevalent aetiological agent of mould onychomycosis. Proper identification of these pathogens requires sporulating culture, which considerably delays the diagnosis. So far, sequencing of rDNA regions of clinical isolates has produced ambiguous results due to the lack of reference sequences in publicly available...
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The control software of the portable raman spectrometer
PublikacjaThe paper contains a description of the control software of a portable Raman spectrometer which was built in the Department of Optoelectronics and Electronic Systems Faculty of Electronics, Telecommunications and Informatics Gdansk University of Technology. The software has modular structure, which includes the laser control module and the spectrum acquisition module (laser power selection, working mode and data acquisition time)...
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Wroclaw University of Technology Knowledge Repository - project objectives
PublikacjaKnowledge Repository is a project created in the Library and Scientific Information Centre of Wroclaw University of Technology (WrUT). Its main task will be collecting, sharing, and promoting scientific publications of researchers, postgraduates and students of WrUT. It will be also used for bibliometric analysis and reporting research output of WrUT scientific community.Knowledge Repository will closely cooperate with other databases...
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A note on the affective computing systems and machines: a classification and appraisal
PublikacjaAffective computing (AfC) is a continuously growing multidisciplinary field, spanning areas from artificial intelligence, throughout engineering, psychology, education, cognitive science, to sociology. Therefore, many studies have been devoted to the aim of addressing numerous issues, regarding different facets of AfC solutions. However, there is a lack of classification of the AfC systems. This study aims to fill this gap by reviewing...
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Universities’ journey towards sustainability- systematic literature review
PublikacjaPurpose: This research aims to identify a sustainable university's key features. It is an essential step in tracing the topics discussed in the context of a sustainable university and their evolution in the scientific discourse. Design/methodology/approach: This paper relies on a systematic literature review (SLR) conducted using two scholarly databases: Emerald and Scopus. The timeframe selected by the authors for reviewing the...
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The aggregation of objects representing Gdańsk district buildings - scale 1:10000. Data from OSM.
Dane BadawczeThe 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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The aggregation of objects representing buildings in the Kartuzy district - scale 1:10000. Data from OSM.
Dane BadawczeThe 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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Parameters of land reference points in the Gdynia region and the Free-air anomaly grid of the South Baltic
Dane BadawczeThe data was registered during the campaign to verify the catalog value of the absolute point coordinates [point 5403 (POLREF-GORA DONAS)] of the national gravimetric control network. The data was recorded in two three-hour stationary measurement campaigns at the following points: Rozewie of the EUREF-POL network, Góra Donas POLREF, and mareograph points...
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Improving medical experts’ efficiency of misinformation detection: an exploratory study
PublikacjaFighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the involvement of medical expert annotators are required. Our work aims to optimize the utilization of medical experts’ time. We also equip them with tools for semi-automatic initial verification...
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Analysis-by-synthesis paradigm evolved into a new concept
PublikacjaThis 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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Medical Image Dataset Annotation Service (MIDAS)
PublikacjaMIDAS (Medical Image Dataset Annotation Service) is a custom-tailored tool for creating and managing datasets either for deep learning, as well as machine learning or any form of statistical research. The aim of the project is to provide one-fit-all platform for creating medical image datasets that could easily blend in hospital's workflow. In our work, we focus on the importance of medical data anonimization, discussing the...
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Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
PublikacjaIn the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...