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Search results for: CLASSIFICATION , POLARIMETRIC DECOMPOSITION , SYNTHETIC APERTURE RADAR (SAR) , SPECKLE FILTERING , WETLANDS
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Approximate Cramér–Rao bound on Doppler error in correlation-processing relatively narrowband noise radar
PublicationThe paper studies limitations on accuracy of Doppler estimation in continuous-wave noise radar with correlation processing. Second order properties of output of the correlation receiver are evaluated and an approximate Cram´er-Rao bound on errors of Doppler measurement is derived. The accuracy of Doppler measurements is found to be affected by the following factors: power spectral density of noise signal, frequency response of the...
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The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation
PublicationAvoiding collisions with other objects is one of the most basic safety tasks undertaken in the operation of floating vehicles. Addressing this challenge is essential, especially during unmanned vehicle navigation processes in autonomous missions. This paper provides an empirical analysis of the surface target detection possibilities in a water environment, which can be used for the future development of tracking and anti-collision...
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A Multichannel Receiver of the Experimental FM Based Passive Radar Using Software Defined Radio Technology
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Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models
PublicationThis work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...
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Spatiotemporal dynamics of the active perirheic zone in a natural wetland floodplain
PublicationAbstract The ecologically and biogeochemically significant perirheic zone is a part of the floodplain where waters originating from both the river and adjacent floodplain are present. In this study, we investigate the spatiotemporal dynamics of the active perirheic zone, i.e. river and floodplain waters and their transient mixing extent. This is achieved by using the Hydraulic Mixing-Cell method, a complement to a fully integrated...
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Present state and future of wetland technology in environmental protection in Poland
Publication: Polish experience with implementation and operation of constructed wetland systems are presented. Wetland technology can be applied for the removal of contaminants from aerial sources, point sources and for utilization of sewage sludge.From 1994-2002 monitoring of three different facilities for water protection was carried out. Substantial im-provement of water quality after implementation of the facilities was observed.From...
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30 years of treatment wetland application in poland- progress and reserch
PublicationThe experiences with design and operation of constructed wetlands in the Pommerania region during last 30 years followed by carried out investigations of treatment processes lead to the following conclusions:First applications of constructed wetlands for biological sewage treatment were made in 1984-92. The later implementations of multi-stage constructed wetlands in the individual household and local scale enable wastewater treatment...
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Protection of surface water against contamination by wetland systems in Poland
PublicationOpisano systemy hydrofitowe stosowane do usuwania zanieczyszczeń z wód powierzchniowych zasilanych wodami opadowymi. Po wprowadzeniu systemów stwierdzono znaczną poprawę jakości wód analizowanych cieków.
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The removal of biogenic compounds and suspended solids in a constructed wetland system
PublicationW celu ochrony ujęcia powierzchniowego wody pitnej dla m. Gdańska w 1997 roku został wybudowany obiekt hydrofitowy na cieku spływającym ze wsi Bielkowo. System hydrofitowy jest zbiornikiem retencyjnym złożonym z dwóch części: - część ''mokra'' tzn. stale wypełniona wodą stanowiąca system grobli z wewnętrznym drenażem, która miała pełnić rolę oczyszczających złóż korzeniowych, - część ''sucha'' wypełniająca się wodą okresowo i przeznaczona...
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Evaluation of respiration capacity of VF in hybrid constructed wetland systems.
PublicationThree VF-beds operating in hybrid constructed wetlands in configuration HF-VF-HF were analysed. These hybrid constructed wetlands provide the II stage biological treatment. They are located in Pommerania voivodship, in Sarbsk, Wiklino and Wieszyno, and their capacities are 29.5, 14.2 and 21.6 m3/d, respectively. The article focuses on performance and operation of VF-CW plants during one year. Based on removal of organic matter...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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Fragmentation of public space - an attempt at recomposition
PublicationPrzedmiotem rozważań jest miasto i przestrzeń publiczna jako obszary nieciągłych funkcji i zbiory luźno powiązanych fragmentów. Celem artykułu jest próba pokazania współczesnych wysiłków scalania miejskiej przestrzeni w poszukiwaniu nowych realacji między użytkownikami i otoczeniem.
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The complexity of minimum-length path decompositions
PublicationWe consider a bi-criteria generalization of the pathwidth problem, where, for given integers k, l and a graph G, we ask whether there exists a path decomposition P of G such that the width of P is at most k and the number of bags in P, i.e., the length of P, is at most l. We provide a complete complexity classification of the problem in terms of k and l for general graphs. Contrary to the original pathwidth problem, which is fixed-parameter...
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Vocalic Segments Classification Assisted by Mouth Motion Capture
PublicationVisual features convey important information for automatic speech recognition (ASR), especially in noisy environment. The purpose of this study is to evaluate to what extent visual data (i.e. lip reading) can enhance recognition accuracy in the multi-modal approach. For that purpose motion capture markers were placed on speakers' faces to obtain lips tracking data during speaking. Different parameterizations strategies were tested...
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Identification, Assessment and Automated Classification of Requirements Engineering Techniques
PublicationSelection of suitable techniques to be used in requirements engineering or business analysis activities is not easy, especially considering the large number of new proposals that emerged in recent years. This paper provides a summary of techniques recommended by major sources recognized by the industry. A universal attribute structure for the description of techniques is proposed and used to describe 33 techniques most frequently...
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Bi-criteria Data Reduction for Instance-Based Classification
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Methodology of semiconductor devices classification into groups of differentiated quality
PublicationZaproponowano klasyfikację przyrządów półprzewodnikowych do grup o zróżnicowanej jakości na podstawie ich szumów własnych z zakresu małych częstotliwości. Przedstawiono metodologię umożliwiającą stwierdzenie, czy zaproponowany parametr szumowy X dla danego typu przyrządu półprzewodnikowego może być stosowany do określenia jakości. Sprecyzowano przebieg badań wstępnych bazujących na ocenie wyników pomiarów szumów własnych z zakresu...
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Using similar classification tasks in feature extractor learning
PublicationThe article presents and experimentally verify the idea of automatic construction of feature extractors in classification problems. The extractors are created by genetic programming techniques using classification examples taken from other problems then the problem under consideration.
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Built-in Test Scheme for detection, classification and evaluation of nonlinearities
PublicationW artykule przedstawiono koncepcję testera wbudowanego (BIST) przeznaczonego do detekcji nieliniowości, klasyfikacji rodzaju nieliniowości i oceny zniekształceń nieliniowych sygnału testowanego, bez użycia drogiego systemu automatycznego testowania. Tester bazuje na modulatorze sigma-delta umieszczonym na pakiecie testowanym i sztucznej sieci neuronowej zaimplementowanej w komputerze osobistym. Koncepcję testera zweryfikowano poprzerz...
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Classification of high-voltage varistors into groups of differentiated quality
PublicationThe research was aimed on defining a factor of quality for high-voltage varistors using Non-Destructive Testing (NDT) techniques, which could be applied during the production testing. The newly proposed parameter Q determined on the basis of the lowest resonant frequency fr measured within the preselected frequency range was taken into account. The parameter Q was defined for ZnO structures after firing, without metallized contacts....
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Classification of submandibular salivary stones based on ultrastructural studies
PublicationIntroduction: Sialolithiasis remains a clinical problem with unclear etiopathogenesis, lack of prevention methods, and only surgical treatment. Materials and methods: An ultrastructure examination of submandibular sialoliths obtained from patients with chronic sialolithiasis was conducted using a scanning electron microscope and X-ray photoelectron...
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Selection of Relevant Features for Text Classification with K-NN
PublicationIn this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...
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Basic Hand Gestures Classification Based on Surface Electromyography
PublicationThis paper presents an innovative classification system for hand gestures using 2-channel surface electromyography analysis. The system developed uses the Support Vector Machine classifier, for which the kernel function and parameter optimisation are conducted additionally by the Cuckoo Search swarm algorithm. The system developed is compared with standard Support Vector Machine classifiers with various kernel functions. The average...
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Parametrization and Correlation Analysis Applied to Music Mood Classification .
PublicationThe paper presents a study on music mood categorization. First, a review of music mood models is presented. Then, the preparation of a set of music excerpts to be used in the experiments and music parametrization is described. Next, some listening tasks performed to obtain mood descriptors are introduced. Finally,the correlation between mood descriptors and features extracted from parameters is discussed. The paper concludes with...
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Entropy analysis of surface EMG for classification of face movements
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RFM-based repurchase behavior for customer classification and segmentation
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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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Towards Cancer Patients Classification Using Liquid Biopsy
PublicationLiquid biopsy is a useful, minimally invasive diagnostic and monitoring tool for cancer disease. Yet, developing accurate methods, given the potentially large number of input features, and usually small datasets size remains very challenging. Recently, a novel feature parameterization based on the RNA-sequenced platelet data which uses the biological knowledge from the Kyoto Encyclopedia of Genes and Genomes, combined with a classifier...
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Classification of submandibular salivary stones based on ultrastructural studies
PublicationIntroduction: Sialolithiasis remains a clinical problem with unclear etiopathogenesis, lack of prevention methods, and only surgical treatment. Materials and methods: An ultrastructure examination of submandibular sialoliths obtained from patients with chronic sialolithiasis was conducted using a scanning electron microscope and X‐ray photoelectron spectroscopy. Results: Based on the results, we divided sialoliths into three types:...
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CLASSIFICATION OF RESTRAINTS IN THE OPTIMIZATION PROBLEM OF A COLD-FORMED PROFILE
PublicationThis work describes the restraints in the optimization problem. This is an important and complicated issue because it requires taking into account a vast range of information related to the design and production. In order to describe the relations of a specific optimization problem, it is essential to adopt appropriate criteria and to collect information on all kinds of restraints, i.e. boundary conditions. The following paper...
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Endoscopy images classification with kernel based learning algorithms.
PublicationPrzedstawiono zastosowanie algorytmów opartych na wektorach wspierających zbudowanych na dwóch różnych funkcjach straty do klasyfikacji obrazów endoskopowych przełyku. Szczegółowo omówiono sposób ekstrakcji cech obrazów oraz algorytm klasyfikacji. Klasyfikator został zastosowany do problemu rozpoznawania zdjęć guzów złośliwych i łagodnych.
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Comparative Analysis of Text Representation Methods Using Classification
PublicationIn our work, we review and empirically evaluate five different raw methods of text representation that allow automatic processing of Wikipedia articles. The main contribution of the article—evaluation of approaches to text representation for machine learning tasks—indicates that the text representation is fundamental for achieving good categorization results. The analysis of the representation methods creates a baseline that cannot...
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The Use of Electronic Nose for Sunflower and Rapeseed Oil Classification
PublicationThe electronic nose is an analytical device often used in food industries to examine the authenticity of their products. The use of the electronic nose allows for a rapid assessment of the quality of food. The oil samples from sunflower and rapeseed were used in this study. Both oil samples were kept inside the thermostat incubator at different ranging from 20oC to 180oC with increment of 40oC. Principal Component Analysis (PCA)...
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The Use of Electronic Nose for Sunflower and Rapeseed Oil Classification
PublicationThe electronic nose is an analytical device often used in food industries to examine the authenticity of their products. The use of the electronic nose allows for a rapid assessment of the quality of food. The oil samples from sunflower and rapeseed were used in this study. Both oil samples were kept inside the thermostat incubator at different ranging from 20oC to 180oC with increment of 40oC. Principal Component Analysis (PCA)...
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How to Sort Them? A Network for LEGO Bricks Classification
PublicationLEGO bricks are highly popular due to the ability to build almost any type of creation. This is possible thanks to availability of multiple shapes and colors of the bricks. For the smooth build process the bricks need to properly sorted and arranged. In our work we aim at creating an automated LEGO bricks sorter. With over 3700 different LEGO parts bricks classification has to be done with deep neural networks. The question arises...
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A note on the affective computing systems and machines: a classification and appraisal
PublicationAffective 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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An Analysis of Neural Word Representations for Wikipedia Articles Classification
PublicationOne of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...
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Ranking Speech Features for Their Usage in Singing Emotion Classification
PublicationThis 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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Displacement piles - classification and methods for the calculation of bearing capacity.
PublicationDisplacement piles belong to a group of technologies whose main idea is to install or make a pile without extracting ground material. According to definition, contained in PN-EN:1997-1:2008, displacement piles should be considered as driven, pressed in using vibrators and made with the use of spread augers. The classification of piles used so far with regard to the technology of execution is modified. An additional element is the...
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Hybrid constructed wetlands for the National Parks in Poland - a case study, requirements, dimensioning, preliminary results
PublicationWater and wastewater management, especially in rural areas, greatly affects loads of nutrients discharged to the Baltic Sea. In Poland, this management is unbalanced because of the dispersed development and in many locations con struction of sewerage system is uneconomic or even impossible. For this reason, a significant part of sewage from single-family houses in rural areas must be discharged into domestic sewage systems. The...
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Partitioning of heavy metals in sub-surface flow treatment wetlands receiving high-strength wastewater
PublicationThe retention of heavy metals at two pilot-scale treatment wetlands (TWs), consisting of two vertical flow beds (VSSF) followed by a horizontal flow bed (HSSF) was studied. The TWs received highstrength wastewater: reject waters from sewage sludge centrifugation (RW) and landfill leachate (LL). The concentrations of metals: Fe, Mn, Zn, Al, Pb, Cu, Cd, Co, Ni were measured in treated wastewater, substrate of the beds and in plant...
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Nitrogen removal in vertical flow constructed wetlands: influence of bed depth and high nitrogen loadings
PublicationThe aim of the study was to evaluate the nitrogen removal and its effects on the plant’s growth and leaves morphology. using two subsurface vertical flow (VF bed), with different depths (0.24 m2 × 0.70 m; 0.24 m2 × 0.35 m) and nitrogen load increments. The VF bed were planted with Vetiveria zizanioides, filled with light expanded clay aggregates (Leca®NR 10/20) and fed in parallel mode with synthetic wastewater. High ammonium nitrogen...
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Removal of selected sulfonamides and sulfonamide resistance genes from wastewater in full-scale constructed wetlands
PublicationSulfonamides are high-consumption antibiotics that reach the aquatic environment. The threat related to their presence in wastewater and the environment is not only associated with their antibacterial properties, but also with risk of the spread of drug resistance in bacteria. Therefore, the aim of this work was to evaluate the occurrence of eight commonly used sulfonamides, sulfonamide resistance genes (sul1–3) and integrase genes...
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Waveform design for fast clutter cancellation in noise radars
PublicationCanceling clutter is an important, but computation-ally intensive part of signal processing in noise radars. It is shown that considerable improvements can be made to a simple least squares canceler if minor constraints are imposed onto noise waveform. The proposed scheme is potentially capable of canceling clutter in real-time, even for high sampling rates.
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What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods
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Synthesis, single crystal growth and properties of Sr 5 Pb 3 ZnO 12
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublicationInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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Thermal decomposition of polyurethane pressure-sensitive adhesives dispersions
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Carbon-coated anatase: adsorption and decomposition of phenol in water
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The inflence of TiO2 structure on the complete decomposition of acetaldehyde gas
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