Wyniki wyszukiwania dla: RDF DATASET PROFILING
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UE regional state aid for territories with low standard of living
Dane BadawczeThe dataset encompassed a choice of important legal acts, a list of selected Polish bibliography and a list of important individual decisions issued on the topic of regional state aid ( for investment purposes) in Poland in the periods 2007- 2013 and 2014- 2020. Thanks to that the reader gets the possibility to acquire basic knowledge on the abovementioned...
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Horizon Europe proposals - Administrative Part
Dane BadawczeThe dataset contains data collected during the HE National Contact Point training on Oct. 12, 2022, reg. the administrative part of Horizon Europe grant proposals. The data set includes presentations concerning administrative forms of 2022 proposals and their content, including participant data; information about abstract writing, keyword choice and...
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Vehicle detector training with minimal supervision
PublikacjaRecently many efficient object detectors based on convolutional neural networks (CNN) have been developed and they achieved impressive performance on many computer vision tasks. However, in order to achieve practical results, CNNs require really large annotated datasets for training. While many such databases are available, many of them can only be used for research purposes. Also some problems exist where such datasets are not...
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Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method
PublikacjaHistoric 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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Forecasting risks and challenges of digital innovations
PublikacjaForecasting and assessment of societal risks related to digital innovation systems and services is an urgent problem, because these solutions usually contain artificial intelligence algorithms which learn using data from the environment and modify their behaviour much beyond human control. Digital innovation solutions are increasingly deployed in transport, business and administrative domains, and therefore, if abused by a malicious...
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Development of cluster analysis methodology for identification of model rainfall hyetographs and its application at an urban precipitation field scale
PublikacjaDespite growing access to precipitation time series records at a high temporal scale, in hydrology, and particularly urban hydrology, engineers still design and model drainage systems using scenarios of rainfall temporal distributions predefined by means of model hyetographs. This creates the need for the availability of credible statistical methods for the development and verification of already locally applied model hyetographs....
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Open porosity and oven-dry density of concretes containing magnetite aggregate (M0-M100) mixes
Dane BadawczeRaw data for determination of open porosity and oven-dry densities of concretes containing different amount of magnetite aggregate (M0-M100) mixes. Sample designation is related to the publication associated with dataset.
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Images revealing the effect of local femtosecond laser ablation of conductive poly(lactic acid) 3D printed electrodes
Dane BadawczeThe dataset reveals the images of the femtosecond laser (FSL) ablation at the surface of commercially available carbon black-filled poly(lactic acid) 3D printed electrode. The process is used for the increase of the charge transfer of this electrode in electrochemical studies.
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Case Study NEB Atlas / part I - 3D Models / King's Cross, London
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the King's Cross, London, UK. The students...
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Multi-task Video Enhancement for Dental Interventions
PublikacjaA microcamera firmly attached to a dental handpiece allows dentists to continuously monitor the progress of conservative dental procedures. Video enhancement in video-assisted dental interventions alleviates low-light, noise, blur, and camera handshakes that collectively degrade visual comfort. To this end, we introduce a novel deep network for multi-task video enhancement that enables macro-visualization of dental scenes. In particular,...
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Crowdsourcing-Based Evaluation of Automatic References Between WordNet and Wikipedia
PublikacjaThe paper presents an approach to build references (also called mappings) between WordNet and Wikipedia. We propose four algorithms used for automatic construction of the references. Then, based on an aggregation algorithm, we produce an initial set of mappings that has been evaluated in a cooperative way. For that purpose, we implement a system for the distribution of evaluation tasks, that have been solved by the user community....
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CNN Architectures for Human Pose Estimation from a Very Low Resolution Depth Image
PublikacjaThe paper is dedicated to proposing and evaluating a number of convolutional neural network architectures for calculating a multiple regression on 3D coordinates of human body joints tracked in a single low resolution depth image. The main challenge was to obtain a high precision in case of a noisy and coarse scan of the body, as observed by a depth sensor from a large distance. The regression network was expected to reason about...
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Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction
PublikacjaUnorganised point cloud dataset, as a transitional data model in several applications, usually contains a considerable amount of undesirable irregularities, such as strong variability of local point density, missing data, overlapping points and noise caused by scattering characteristics of the environment. For these reasons, further processing of such data, e.g. for construction of higher order geometric models of the topography...
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Material for Automatic Phonetic Transcription of Speech Recorded in Various Conditions
PublikacjaAutomatic speech recognition (ASR) is under constant development, especially in cases when speech is casually produced or it is acquired in various environment conditions, or in the presence of background noise. Phonetic transcription is an important step in the process of full speech recognition and is discussed in the presented work as the main focus in this process. ASR is widely implemented in mobile devices technology, but...
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INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY
PublikacjaIn recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...
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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublikacjaMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
PublikacjaTo this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...
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Global value chains and wages under different wage setting mechanisms
PublikacjaThis study examines whether, and how, differences in wage bargaining schemes shape the relationship between global value chains (GVCs) and the wages of workers while considering both GVC participation and position in GVC. Our dataset is derived from the European Structure of Earnings Survey (SES), containing employee–employer data from 18 European countries, merged with sectoral data from the World Input-Output Database (WIOD)....
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Intelligent Audio Signal Processing − Do We Still Need Annotated Datasets?
PublikacjaIn this paper, intelligent audio signal processing examples are shortly described. The focus is, however, on the machine learning approach and datasets needed, especially for deep learning models. Years of intense research produced many important results in this area; however, the goal of fully intelligent signal processing, characterized by its autonomous acting, is not yet achieved. Therefore, a review of state-of-the-art concerning...
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Focus on Misinformation: Improving Medical Experts’ Efficiency of Misinformation Detection
PublikacjaFighting medical disinformation in the era of the global pandemic is an increasingly important problem. As of today, automatic systems for assessing the credibility of medical information do not offer sufficient precision to be used without human supervision, and the involvement of medical expert annotators is required. Thus, our work aims to optimize the utilization of medical experts’ time. We use the dataset of sentences taken...
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A novel approach exploiting properties of convolutional neural networks for vessel movement anomaly detection and classification
PublikacjaThe article concerns the automation of vessel movement anomaly detection for maritime and coastal traffic safety services. Deep Learning techniques, specifically Convolutional Neural Networks (CNNs), were used to solve this problem. Three variants of the datasets, containing samples of vessel traffic routes in relation to the prohibited area in the form of a grayscale image, were generated. 1458 convolutional neural networks with...
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Methodology of Constructing and Analyzing the Hierarchical Contextually-Oriented Corpora
PublikacjaMethodology of Constructing and Analyzing the Hierarchical structure of the Contextually-Oriented Corpora was developed. The methodology contains the following steps: Contextual Component of the Corpora’s Structure Building; Text Analysis of the Contextually-Oriented Hierarchical Corpus. Main contribution of this study is the following: hierarchical structure of the Corpus provides advanced possibilities for identification of the...
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Visual Content Learning in a Cognitive Vision Platform for Hazard Control (CVP-HC)
PublikacjaThis work is part of an effort for the development of a Cognitive Vision Platform for Hazard Control (CVP-HC) for applications in industrial workplaces, adaptable to a wide range of environments. The paper focuses on hazards resulted from the nonuse of personal protective equipment (PPE). Given the results of previous analysis of supervised techniques for the problem of classification of a few PPE (boots, hard hats, and gloves...
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Long-term measurements from a photovoltaic power plant and meteorological stations at the Laboratory LINTE^2 of Gdańsk University of Technology
Dane Badawcze1) The Laboratory LINTE^2 is a large research infrastructure operated by the Faculty of Electrical and Control Engineering at Gdańsk University of Technology, to be found in Gdańsk, Poland (54.3690 N, 18.6130 E). 2) The measurements have been collected from a photovoltaic power plant located on the roof of the laboratory, having total capacity...
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EU state aid for fisheries and aquaculture in the perspective 2014-2020
Dane BadawczeThe dataset encompassed a choice of the most important legal acts, a list of selected Polish bibliography, and some examples of decisions issued by the EC on the topic of state aid for fisheries and aquaculture in Poland and in Germany. The data constitute a description of the basic state aid instruments used in practice in the period 2014-2020 for...
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Isothermal calorimetry data for cement pastes containing pristine Bi2O3/Gd2O3 and silica-coated Bi2O3/Gd2O3 structures
Dane BadawczeCsv file containing raw calorimetric data determined up to 168 h (Tam Air 3 8-channel isothermal calorimeter) of cement pastes containing Bi2O3+Gd2O3 amd silica-coated Bi2O3-Gd2O3 structures. Sample designation in the .csv file is in line with sample designation in the manuscript associated with dataset.
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state aid for projects on heritage conservation
Dane BadawczeThe dataset encompassed a choice of the most important legal acts in EU law, a list of selected bibliography, together with a list of some interesting individual EC decisions issued on the topic of state aid for heritage conservation in Poland and some UE countries in the period 2007-2013. The reader gets the possibility to acquire basic information...
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EU state aid - compatible with the internal market for social reasons
Dane BadawczeThe dataset encompasses a choice of Polish and foreign bibliography, together with a list of important individual EC decisions issued in the period 2007-2013 on state aid delivered to final consumers for social reasons ( in Poland and in selected UE member states), in form of different financial instruments. Thanks to this compilation the reader is...
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Output voltage, current and DC-link voltages under SVPWM, experimental results
Dane BadawczeThe dataset contains the experimental results of the project: A universal algorithm of space vector pulse width modulation for three-level three and multi-phase NPC inverters with DC-link voltage balancing. The output line-to-line voltage, output current and DC-link voltages were included. The comparison studies between proposed Space Vector Pulse-Width...
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Output voltage, current and DC-link voltages under SPWM, experimental results
Dane BadawczeThe dataset contains the experimental results of the project: A universal algorithm of space vector pulse width modulation for three-level three and multi-phase NPC inverters with DC-link voltage balancing. The output line-to-line voltage, output current and DC-link voltages were included. The Carrier-Based Pulse-Width Modulation (CBPWM) technique was...
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UAV Survey Images - 3D Model - Wielkopolska Crossroad
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Wielkopolska CrossroadLocation: Gdynia Orlowo, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Double GridTarget Product: 3D ModelDate: 25.11.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage dimensions:...
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Spatial distribution of CO2, O2, CO, NO and temperature within a biowaste composting pile
Dane BadawczeThe dataset contains the color-coded isophlets illustrating the spatial distribution of gas concentrations (CO, CO2, O2 and NO) and the temperature in biowaste composting pile during 6 weeks of process. Four cross sections and two longitudinal cross sections (the left and right sides of the pile) were made using Surfer 10 software (Golden Software,...
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Parameter values for topological chaos in the reduced Chialvo model
Dane BadawczeThe following dataset is connected with a map-based neuron model introduced by D. Chialvo (Chaos, Solitons & Fractals, 5 (3-4) 1995). The reduced version of this model is a one dimensional discrete system which describes the evolution of the membrane voltage when the value of the second variable, the recovery variable, is fixed. We have recently...
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Case Study NEB Atlas / part I - 3D Models / Brunnshög, Lund
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to create a digital model - a simplified digital twin - for selected parts of housing estates already realised in various cities in Europe. This group presents a model for a fragment of the Brunnshög district in Lund, Sweden....
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Enhancement of self-trapped excitons and near-infrared emission in Bi3+/Er3+ co-doped Cs2Ag0.4Na0.6InCl6 double perovskite
Dane BadawczeErbium (Er) complexes are used as optical gain materials for signal generation in the telecom C-band at 1540 nm, but they need a sensitizer to enhance absorption. Na+ substitution for Ag+ and Bi3+ doping at the In3+ site is a possible strategy to enhance the broadband emission of Cs2AgInCl6, which could be used as a sensitizer for energy transfer to...
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UAV Survey Images - 3D Model - Jastrzebia Gora Cliff 07.2017- MP1
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 06.07.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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UAV Survey Images - 3D Model - Trakt Sw Wojciecha Street - Orunia
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Street Trakt Sw Wojciecha - OruniaLocation: Gdansk Orunia, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Double GridTarget Product: 3D ModelDate: 17.11.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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UAV Survey Images - 3D Model - GUT Water Tower MP1
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Water Tower at Gdansk University Of Technology CampusLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: CircleTarget Product: 3D ModelDate: 13.05.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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UAV Survey Images - DTM - Sopot Tombolo (Salient) Measurement - MP2
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: littoral zone in SopotLocation: Sopot, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: Single GridTarget Product: Digital Terrain ModelDate: 23.11.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: YESGCP Quality: RTKCamera Name: Hasselblad L1D-20cModel type: PerspectiveImage...
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UAV Survey Images - 3D Model - Jastrzebia Gora Cliff 11.2017- MP1
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 05.11.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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UAV Survey Images - 3D Model - GUT Water Tower MP2
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Water Tower at Gdansk University Of Technology CampusLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 2Flight plan: CircleTarget Product: 3D ModelDate: 08.11.2019Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name: Hasselblad L1D-20cModel...
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Areas of Updraft Air Motion in an Idealised Weather Research and Forecasting Model Simulation of Atmospheric Boundary Layer Response to Different Floe Size Distributions
PublikacjaPresented dataset is part of a numerical modelling study focusing on the analysis of the influence of sea ice floe size distribution (FSD) on the horizontal and vertical structure of convection in the atmosphere. The total area and spatial arrangement of the up-drafts indicates that the FSD affects the total moisture content and the values of area averaged turbulent fluxes in the model domain. In fact, while convective updrafts...
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A Triplet-Learnt Coarse-to-Fine Reranking for Vehicle Re-identification
PublikacjaVehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep...
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Photoplethysmographic Time-Domain Heart Rate Measurement Algorithm for Resource-Constrained Wearable Devices and its Implementation
PublikacjaThis paper presents an algorithm for the measurement of the human heart rate, using photoplethysmography (PPG), i.e., the detection of the light at the skin surface. The signal from the PPG sensor is processed in time-domain; the peaks in the preprocessed and conditioned PPG waveform are detected by using a peak detection algorithm to find the heart rate in real time. Apart from the PPG sensor, the accelerometer is also used to...
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Investigating Feature Spaces for Isolated Word Recognition
PublikacjaThe study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...
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A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
PublikacjaIn this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...
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Ranking Speech Features for Their Usage in Singing Emotion Classification
PublikacjaThis paper aims to retrieve speech descriptors that may be useful for the classification of emotions in singing. For this purpose, Mel Frequency Cepstral Coefficients (MFCC) and selected Low-Level MPEG 7 descriptors were calculated based on the RAVDESS dataset. The database contains recordings of emotional speech and singing of professional actors presenting six different emotions. Employing the algorithm of Feature Selection based...
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Methods for quality improvement of multibeam and LiDAR point cloud data in the context of 3D surface reconstruction
PublikacjaPoint cloud dataset is the transitional data model used in several marine and land remote-sensing applications. During further steps of processing, the transformation of point cloud spatial data to more complex models containing higher order geometric structures like edges and facets may be possible, if an appropriate quality level of input data is provided. Point cloud datasets usually contain a considerable amount of undesirable...
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Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents
PublikacjaEnterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...
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Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG
PublikacjaEEG-based brain-computer interfaces are systems aiming to integrate disabled people into their environments. Nevertheless, their control could not be intuitive or depend on an active external stimulator to generate the responses for interacting with it. Targeting the second issue, a novel paradigm is explored in this paper, which depends on a passive stimulus by measuring the EEG responses of a subject to the primary colors (red,...