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Search results for: SOIL CLASSIFICATION
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Simplified probabilistic analysis of settlement of cyclically loaded soil stratum using point estimate method
PublicationThe paper deals with the probabilistic analysis of settlement of a non-cohesive soil layer subjected to cyclic loading. Originally, the settlement assessment is based on deterministic compaction model which requires integration of a set of differential equations. However, making use of the Bessel functions the settlement of the soil stratum can be calculated by means of simplified algorithm. The compaction model parameters were...
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Determination of environmental pollutants in soil and sediments - some aspects of sample clean-up and GC analysis
PublicationPrzedstawiono wstępne wyniki badań nowej procedury analitycznej przeznaczonej do badań próbek i osadów dennych na zawartość związków organicznych (WWAPCB). Procedura składa się z następujących etapów: - ekstrakcji analitów z wykorzystaniem techniki ASE, - oczyszczania ekstraktów (kolumienki), - chromatograficznego rozdzielania i oznaczania analitów.
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Numerical Modelling for Prediction of Compression Index from Soil Index Properties in Jimma town, Ethiopia
PublicationIn this study, correlations are developed to predict compression index (Cc) from index parameters so that one can be able to model Jimma soils with compression index using simple laboratory tests. Undisturbed and disturbed soil samples from twelve different locations in Jimma town were collected. Laboratory tests like specific gravity, grain size analysis, Atterberg limit, and one-dimensional consolidation test for a total of twenty-four...
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublicationPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Seismic gap between buildings founded on different soil types experiencing pounding during earthquakes
PublicationSeveral formulas have been suggested in the literature to evaluate the minimum seismic gap that would prevent collisions between adjacent buildings during earthquakes, including those based on the absolute sum of the peak displacements (ABS), square root of the sum of the squares (SRSS), the double difference method (DDC), Australian code, and approach proposed by Naderpour et al. The aim of the present study is to evaluate the...
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Shaking table experimental study on pounding between adjacent structures founded on different soil types
PublicationThe aim of this study is to extensively investigate the effect of the soil type on the response of colliding structures based on shaking table experimental tests. Two single-storey models of steel buildings with different dynamic parameters were considered in this study. Three pounding scenarios were taken into account by applying different seismic gaps (0.5 cm, 1 cm and 1.5 cm as well as the no pounding case). First, the effect...
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Pore Water Pressure Development in Soft Soil due to Installation and Loading of Controlled Modulus Columns
PublicationExcess pore water pressure (EPWP) development and decay due to the installation and static loading tests of controlled modulus columns (CMC) in soft soil was measured with piezometers equipped with low air entry (LAE) filters and a piezocone (CPTU) equipped with a high air entry (HAE) filter. The HAE filter allows for detailed detection of EPWP in short time intervals during construction of CMC. The influence zone due to the installation...
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Quality of groundwater contaminated by leachates from seven Polish landfills - chemical and ecotoxicological classifications
PublicationArtykuł prezentuje rezultaty badań toksyczności ostrej i chronicznej próbek wód podziemnych pobranych spod składowisk odpadów komunalnych. Uzyskane wyniki porównano z wynikami badań parametrów fizykochemicznych. Jednocześnie dokonano klasyfikacji jakości badanych próbek w oparciu o zalecenia Komisji Helsińskiej, system oparty na wyznaczaniu parametru pT i kryteria ustanowione przez Persoone'a i współpracowników.
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Molecular profiles of thyroid cancer subtypes: Classification based on features of tissue revealed by mass spectrometry imaging
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Klasyfikacja osadów ściekowych na podstawie analizy elementarnej = sewage sludge classification based on elementary analysis
PublicationPrzedmiotem pracy jest analiza osadów ściekowych z oczyszczalni ścieków ze Swarzewa oraz Dębogórza. Analizy elementarne osadów na rożnym etapie przeróbki pozwoliły na znalezienie ich obrazu w systematyce Kempy, Van Krevelena oraz Jurkiewicza. Osady ściekowe charakteryzowane są prze szereg parametrów fizycznych, chemicznych i biologicznych. E. Kempa opracował podstawy systematyki osadów w oparciu o systematykę Van Krevelena oraz...
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Challenges of Comparing Marine Microbiome Community Composition Data Provided by Different Commercial Laboratories and Classification Databases
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Rotor broken bar diagnostics in induction motor drive using Wavelet packet transform and ANFIS classification
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Real-Time Facial Features Detection from Low Resolution Thermal Images with Deep Classification Models
PublicationDeep networks have already shown a spectacular success for object classification and detection for various applications from everyday use cases to advanced medical problems. The main advantage of the classification models over the detection models is less time and effort needed for dataset preparation, because classification networks do not require bounding box annotations, but labels at the image level only. Yet, after passing...
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A Framework of A Ship Domain-Based Near-Miss Detection Method Using Mamdani Neuro-Fuzzy Classification
PublicationSafety analysis of navigation over a given area may cover application of various risk measures for ship collisions. One of them is percentage of the so called near- miss situations (potential collision situations). In this article a method of automatic detection of such situations based on the data from Automatic Identification System (AIS), is proposed. The method utilizes input parameters such as: collision risk measure based...
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Evaluation of sound event detection, classification and localization in the presence of background noise for acoustic surveillance of hazardous situations
PublicationAn evaluation of the sound event detection, classification and localization of hazardous acoustic events in the presence of background noise of different types and changing intensities is presented. The methods for separating foreground events from the acoustic background are introduced. The classifier, based on a Support Vector Machine algorithm, is described. The set of features and samples used for the training of the classifier...
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Authentication of whisky due to its botanical origin and way of production by instrumental analysis and multivariate classification methods
PublicationHeadspacemass-spectrometry (HS-MS), mid infrared (MIR) and UV–vis spectroscopywere used to authenticate whisky samples from different origins and ways of production ((Irish, Spanish, Bourbon, TennesseeWhisky and Scotch). The collected spectra were processed with partial least-squares discriminant analysis (PLS-DA) to build the classification models. In all cases the five groups ofwhiskieswere distinguished, but the best resultswere...
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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models
PublicationBreast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...
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Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network
PublicationCOVID-19, also known as the Coronavirus disease-2019, is an transferrable disease that spreads rapidly, affecting countless individuals and leading to fatalities in this worldwide pandemic. The precise and swift detection of COVID-19 plays a crucial role in managing the pandemic's dissemination. Additionally, it is necessary to recognize COVID-19 quickly and accurately by investigating chest x-ray images. This paper proposed a...
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Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-Learned Features
PublicationNematodes Caenorhabditis elegans (C. elegans) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understanding of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed...
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Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs
PublicationIn the paper we investigate the problem of food classification from images, for the Food-101 dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer learning and firstly measured training times for models such as MobileNet, MobileNetV2, ResNet50, ResNet50V2, ResNet101, ResNet101V2, InceptionV3, InceptionResNetV2, Xception, NasNetMobile and DenseNet, for systems with NVIDIA Tesla V100 (Volta) and...
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Effect of sol composition on the properties of TiO2 powders obtained by the sol-gel method
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Polish Journal of Soil Science
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Bożena Kostek prof. dr hab. inż.
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Methods of quality characterization of foil-based capacitors
PublicationJakość kondensatorów wykonanych z folii aluminiowej jest zależna od wielu parametrów podczas ich produkcji. Istniejące metody oceny ich jakości nie są doskonałe. Stąd istnieje potrzeba propozycji nowych metod. W pracy przedstawiono wyniki badań zawartości trzeciej harmonicznej oraz emisji akustycznej występującej pod wpływem naprężenia mechanicznego zwijek foliowych z jakością wytworzenia tych zwijek.
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Predicting mobility of alkylimidazolium ionic liquids in soils
PublicationCiecze jonowe są nową grupą związków chemicznych stanowiących idealne, nielotne medium reakcyjne dla wielu procesów technologicznych jak synteza organiczna i biokataliza, będące alternatywnymi elektrolitrami, fazami reakcyjnymi lub modyfikatorami faz oraz smarami. Ich implementacja na szeroką skalę pociągnie za sobą zastosowania w rozmaitych procesach przemysłowych. Biorąc pod uwagę ich dużą stabilność, mogą one przedostać się...
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Quality testing methods of foil-based capacitors
PublicationKondensatory foliowe są powszechnie stosowanymi elementami pasywnymi w ukłądach zasilania. Dotychczasowe metody oceny ich jakości są długotrwałe oraz zużywają energię. W pracy przedstawiono propozycje szeregu nowych, bardziej efektywnych metod, które mogą być z sukcesem stosowane podczas ich produkcji.
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Research on Linear Actuators for Active Foil Bearings
PublicationActive foil bearings are a kind of gas foil bearing. They contain actuators which allow for modification of the bearing sleeve size and the shape of the lubrication gap. Rotor vibrations can be actively controlled by these changes. It is possible, among other things, to reduce the starting torque, control the vibration amplitude at different speeds and improve operational safety. Prototypes of active foil bearings are being developed...
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Design of septic tanks placed on cohesive soils
PublicationThe paper presents a short review of literature with regard to design and erection of the reinforced concrete and concrete tanks. The authors investigated the underground septic tank with of 10 m3 capacity placed on cohesive soils. The authors compared the values of internal forces for soils in drained and undrained conditions with different geotechnical parameters: loamy sand of liquidity index IL = 0.1 and IL = 0.7 and clay with...
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Modelling the time-dependent behaviour of soft soils
PublicationTime-dependence of soft soils has already been thoroughly investigated. The knowledge on creep and relaxation phenomena is generally available in the literature. However, it is still rarely applied in practice. Regarding the organic soils, geotechnical engineers mostly base their calculations on the simple assumptions. Yet, as presented within this paper, the rate-dependent behaviour of soft soils is a very special and important...
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THE COMPARATIVE ANALYSIS OF PREPARED MIXTURES OF CRAMBE ABYSSINICA SEED OIL WITH MINERAL AND SYNTHETIC OIL
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Flavonoids and Essential Oil of Bidens cernua of Polish Origin and in Vitro Antimicrobial Activity of the Oil
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Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools
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Soil pH effects on the comparative toxicity of dissolved zinc, non-nano and nano ZnO to the earthwormEisenia fetida
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Significance of cement-stabilised soil grain size distribution in determining the relationship between strength and resilient modulus
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Investigating the potential influence of biochar and traditional organic amendments on the bioavailability and transfer of Cd in the soil–plant system
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Effect of Nitrogen Fertilization in the Sour Cherry Orchard on Soil Enzymatic Activities, Microbial Population, and Fruit Quality
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Occurrence, contamination evaluation and health risks of trace metals within soil, sediments and tailings in southern Tunisia
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Possibility of New Active Substrates (ASs) to Be Used to Prevent the Migration of Heavy Metals to the Soil and Water Environments
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Effect of Natural Aging of Biochar on Soil Enzymatic Activity and Physicochemical Properties in Long-Term Field Experiment
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Preliminary Results of Effect of Rotational Grazing of Farmed Red Deer (Cervus elaphus) on the Biochemical Status of Soil
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THE ECONOMIC EFFICIENCY OF GROWING SWEET POTATO (IPOMOEA BATATAS L. [LAM.]) IN POLISH SOIL AND CLIMATE CONDITIONS
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Earthquake-induced pounding between equal height multi-storey buildings considering soil-structure interaction
PublicationThe present paper investigates the coupled effect of the supporting soil flexibility and pounding between neighbouring, insufficiently separated equal height buildings under earthquake excitation. Two adjacent three-storey structures, modelled as inelastic lumped mass systems with different structural characteristics, have been considered in the study. The models have been excited using a suit of ground motions with different peak...
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A study on the interaction of rhodamine B with methylthioadenosine phosphorylase protein sourced from an Antarctic soil metagenomic library.
PublicationThe presented study examines the phenomenon of the fluorescence under UV light excitation (312 nm) of E. coli cells expressing a novel metagenomic-derived putative methylthioadenosine phosphorylase gene, called rsfp, grown on LB agar supplemented with a fluorescent dye rhodamine B. For this purpose, an rsfp gene was cloned and expressed in an LMG194 E. coli strain using an arabinose promoter. The resulting RSFP protein was purified...
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Homogeneity study of candidate reference material (contaminated soil) based on determination of selected metals, PCBs and PAHs
PublicationReference materials (RMs) are an indispensable part of QA/QC system and have played a critical role in the continual expansion of analytical capabilities of the analytical laboratories. The homogeneity study of the candidate for reference material is essential for the quality of reference material (certified reference material) used in quality assurance activities. The homogeneity study of candidate for reference materials of contaminated...
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Non-Destructive Testing of the Longest Span Soil-Steel Bridge in Europe—Field Measurements and FEM Calculations
PublicationThe article describes interdisciplinary and comprehensive non-destructive diagnostic tests of final bridge inspection and acceptance proposed for a soil-steel bridge made of corrugated sheets, being the European span length record holder (25.74 m). As an effect of an original concept a detailed and precise information about the structure short-term response was collected. Periodic diagnostics of bridge deformations was done one...
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Balal Yousaf Dr.
PeopleBalal Yousaf currently works as a Professor at the Silesian University of Technology, Gliwice, Poland. He has an academic background in Environmental Geochemistry & Pollution. His research interests include Soil and Water Remediation, Transformation Mechanism and Fate of Environmental Contaminants, Minerals Interaction with Environmental Contaminants, Green Synthesis, Biowaste Conversion, Bioenergy and Environmental Pollution...
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Optimal Selection of Input Features and an Acompanying Neural Network Structure for the Classification Purposes - Skin Lesions Case Study
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Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps
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Optimal selection of input features and an acompanying neural network structure for the classification purposes - skin lesions case study
PublicationMalignant melanomas are the most deadly type of skin cancers however detected early enough give a high chances for successful treatment. The last years saw the dynamic growth of interest of automatic computer-aided skin cancer diagnosis. Every month brings new research results on new approaches to this problem, new methods of preprocessing, new classifiers, new ideas to follow etc. In particular, the rapid development of dermatoscopy,...