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Search results for: RDF DATASET PROFILING
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An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks
PublicationHandwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the...
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Enabling Deeper Linguistic-based Text Analytics – Construct Development for the Criticality of Negative Service Experience
PublicationSignificant progress has been made in linguistic-based text analytics particularly with the increasing availability of data and deep learning computational models for more accurate opinion analysis and domain-specific entity recognition. In understanding customer service experience from texts, analysis of sentiments associated with different stages of the service lifecycle is a useful starting point. However, when richer insights...
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Data regarding a new, vector-enzymatic DNA fragment amplification-expression technology for the construction of artificial, concatemeric DNA, RNA and proteins, as well as biological effects of selected polypeptides obtained using this method
PublicationApplications of bioactive peptides and polypeptides are emerging in areas such as drug development and drug delivery systems. These compounds are bioactive, biocompatible and represent a wide range of chemical properties, enabling further adjustments of obtained biomaterials. However, delivering large quantities of peptide derivatives is still challenging. Several methods have been developed for the production of concatemers –...
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The Verification of the Usefulness of Electronic Nose Based on Ultra-Fast Gas Chromatography and Four Different Chemometric Methods for Rapid Analysis of Spirit Beverages
PublicationSpirit beverages are a diverse group of foodstuffs. They are very often counterfeited which cause the appearance of low quality products or wrongly labelled products on the market. It is important to find a proper quality control and botanical origin method enabling the same time preliminary check of the composition of investigated samples, which was the main goal of this work. For this purpose, the usefulness of electronic nose...
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Clothes Detection and Classification Using Convolutional Neural Networks
PublicationIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...
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Optimization algorithm and filtration using the adaptive TIN model at the stage of initial processing of the ALS point cloud
PublicationAirborne laser scanning (ALS) provides survey results in the form of a point cloud. The ALS point cloud is a source of data used primarily for constructing a digital terrain model (DTM). To generate a DTM, the set of ALS observations must be first subjected to the point cloud processing methodology. A standard methodology is composed of the following stages: acquisition of the ALS data, initial processing (including filtration),...
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Application of multivariate statistics in assessment of green analytical chemistry parameters of analytical methodologies
PublicationThe study offers a multivariate statistical analysis of a dataset, including the major metrological, “greenness” and methodological parameters of 43 analytical methodologies applied for aldrin determination (a frequently analyzed organic compound) in water samples. The variables (parameters) chosen were as follows: metrological (LOD, recovery, RSD), describing the “greenness” (amount of the solvent used, amount of waste generated)...
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A Perspective on Missing Aspects in Ongoing Purification Research towards Melissa officinalis
PublicationMelissa officinalis L. is a medicinal plant used worldwide for ethno-medical purposes. Today, it is grown everywhere; while it is known to originate from Southern Europe, it is now found around the world, from North America to New Zealand. The biological properties of this medicinal plant are mainly related to its high content of phytochemical (bioactive) compounds, such as flavonoids, polyphenolic compounds, aldehydes, glycosides...
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Tax rates for the payroll and profit tax for financial institutions Israel 2002-2015
Open Research DataThe following dataset presents the historical tax rates for the payroll and profit tax paid by financial institutions (non-VAT taxation) in Israel. The data presented in the dataset concerns 2002-2015.
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The TPO oxidation profile of CeO2/10wt.%Co with BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Mn with BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Ni with BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Cu with BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Fe with BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Fe. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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THERMION-C2S_10 Ionic thermoelectri effect in the phase transition in Cu2Se
Open Research DataThe dataset contains results of measurements of the ionic thermoelectric effect in copper selenide with Cu1.99Se and Cu1.8Se compositions. X-Ray diffraction data, SEM images and EDX spectra of the samples are also in the dataset.
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Increasing the conductivity of v2o5-teo2 glass by crystallization: structure and charge transfer studies
Open Research DataThis is the dataset concerning the publication titled: Increasing the conductivity of V2O5-TeO2 glass by crystallization: structure and charge transfer studies. In this dataset raw data and origin project concerning this article can be found.
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The TPO oxidation profile of CeO2/10wt.%Cu without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Mn without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Co without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The TPO oxidation profile of CeO2/10wt.%Ni without BCD - prereduced
Open Research DataThe dataset includes the TPO oxidation profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes oxidation profile of the prereduced sample.
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The XRD pattern of CeO2/10wt.%Co prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Co. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement.
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Outdoor photographic documentation of the Castle in Oświęcim (Małopolskie Voivodeship)
Open Research DataThis dataset contains outdoor images of the Castle in Oświęcim (Małopolskie Voivodeship). Retrieved documentation dates from the 19th to 21st centuries. The castle consists of an early Gothic bergfried tower, built at the end of the 13th century, a two-story basement building built on a rectangular plan, and an annexe. The latest image in the dataset...
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The TPR reduction profile of CeO2/10wt.%Cu with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Mn with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Co with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Ni with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Fe with BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Fe. The samples of nanoCeO2 impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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Going all in or spreading your bet: a configurational perspective on open innovation interaction channels in production sectors
PublicationUsing different interaction channels within open innovation partnerships holds the potential to enhance the chance of success in production sectors. However, our comprehension of how open innovation partnerships are affected by varying combinations of interaction channels, and how this corelates with their level of open innovation output, remains limited. There are discrepancies in the current literature regarding the individual...
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A comprehensive review of open data platforms, prevalent technologies, and functionalities
PublicationOpen data can play a crucial role in different sectors of the world,such as government, science, research, technology, culture, andfinance. There are several necessary measures that every organiza-tion needs to consider before opening data. There are three majorsteps to opening the data: (1) Preparation stage, and (2) launchingthe open data initiative (3) In this case, the feedback mechanismstudy such as expand and sustain stage,...
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Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data
PublicationThis paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult financial situation that may lead to consumer bankruptcy. In the face of the current global pandemic crisis, the future of household finances...
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Urban scene semantic segmentation using the U-Net model
PublicationVision-based semantic segmentation of complex urban street scenes is a very important function during autonomous driving (AD), which will become an important technology in industrialized countries in the near future. Today, advanced driver assistance systems (ADAS) improve traffic safety thanks to the application of solutions that enable detecting objects, recognising road signs, segmenting the road, etc. The basis for these functionalities...
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublicationMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift
PublicationWhile recent computer vision algorithms achieve impressive performance on many benchmarks, they lack robustness - presented with an image from a different distribution, (e.g. weather or lighting conditions not considered during training), they may produce an erroneous prediction. Therefore, it is desired that such a model will be able to reliably predict its confidence measure. In this work, uncertainty estimation for the task...
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Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives
PublicationLong-term Web archives comprise Web documents gathered over longer time periods and can easily reach hundreds of terabytes in size. Semantic annotations such as named entities can facilitate intelligent access to the Web archive data. However, the annotation of the entire archive content on this scale is often infeasible. The most efficient way to access the documents within Web archives is provided through their URLs, which are...
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Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
PublicationIn 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...
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Investigating Feature Spaces for Isolated Word Recognition
PublicationMuch attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...
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Towards application of uncertainty quantification procedure combined with experimental procedure for assessment of the accuracy of the DEM approach dedicated for granular flow modeling
PublicationThere is a high demand for accurate and fast numerical models for dense granular flows found in many industrial applications. Nevertheless, before numerical model can be used its need to be always validated against experimental data. During the validation, it is important to consider how the measurement data sets, as well as the numerical models, are affected by errors and uncertainties. In this study, the uncertainty quantification...
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The TPR reduction profile of CeO2/10wt.%Co without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Co. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Ni without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Ni. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Cu without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Cu. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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The TPR reduction profile of CeO2/10wt.%Mn without BCD - 2 cycles
Open Research DataThe dataset includes the TPR reduction profiles of CeO2/10wt.%Mn. The samples of nanoCeO2 impregnated without BCD-assisted precursor solution (betacyclodextrin). The dataset includes two cycles of reduction (samples oxidized in between)
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Electrochemical studies of Boron-Doped Diamond enriched Laser Induced Graphene structures
Open Research DataThis dataset contains electrochemical studies aimed to evaluate the capability of the utilization of laser-induced graphene (LIG) with incorporated boron-doped diamond nanowall (BDNW) hybrid nanostructures for microsupercapacitors. Selected results from this dataset were published in Advanced Functional Materials journal: https://doi.org/10.1002/adfm.202206097
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Change of exhaust gases concentration for LSCNT modified SOFC fueled by biogas mixture at 750 C
Open Research DataThe dataset changes of exhaust gases concentrations (CH4,CO,CO2,H2) over working time for SOFC with La0.27Sr0.54Ce0.09Ni0.1Ti0.9O3-s layer. Concentrations were calculated based on the FTIR measurements and calibration files presented in coupled dataset.
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The XRD pattern of CeO2/10wt.%Ni prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4h in air.
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A study of nighttime vehicle detection algorithms
Open Research DataThis 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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The XRD pattern of CeO2/10wt.%Mn prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Mn. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Fe prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Fe. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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The XRD pattern of CeO2/10wt.%Ni with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Ni. The samples of nanoCeO2 were impregnated with BCD-assisted precursor nitrate solution (betacyclodextrin). The dataset includes 5-90 2 theta degree measurement. Nonreduced. Sintered at 400oC for 4h.
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The XRD pattern of CeO2/10wt.%Cu prepared with BCD
Open Research DataThe dataset includes the XRD pattern of CeO2/10wt.%Cu. The samples of nanoCeO2 were impregnated with BCD-assisted precursor solution (betacyclodextrin). The dataset includes the 5-90 2theta degree measurement. Nonreduced. Sintered at 400oC for 4 h in air.
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Testing high impedance analyzer in the field on high-voltage line pylon cell 1 exposition 2
Open Research DataThe dataset presents impedance spectrum of anticorrosion coating on high-voltage line pylon presented in the figure below. This object was used to test high-impedance analyzer for diagnostic of anticorossion coatings (HIADAC) realized in the frame of Eureka project E!3174. The dataset contains comparative measurements with Atlas-Sollich ATLAS98HI analyser....