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Search results for: mining machines
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Accelerated Parameter Tuning of Antenna Structures by Means of Response Features and Principal Directions
PublicationPopularity of numerical optimization has been steadily on the rise in the design of modern antenna systems. Resorting to mathematically rigorous parameter tuning methods is a matter of practical necessity as interactive techniques (e.g., parameter sweeping) are no longer adequate when handling several performance figures over multi-dimensional parameter spaces. The most common design scenarios involve local tuning since decent...
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A Colorimetric Microplate Assay for DNA-Binding Activity of His-Tagged MutS Protein
PublicationA simple microplate method was designed for rapid testing DNA-binding activity of proteins. The principle of the assay involves binding of tested DNA by his-tagged protein immobilized on a nickel-coated ELISA plate, following colorimetric detection of biotinylated DNA with avidin conjugated to horseradish peroxidase. The method was used to compare DNA mismatch binding activities of MutS proteins from three bacterial species. The...
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Prediction of Overall In Vitro Microsomal Stability of Drug Candidates Based on Molecular Modeling and Support Vector Machines. Case Study of Novel Arylpiperazines Derivatives
PublicationOther than efficacy of interaction with the molecular target, metabolic stability is the primary factor responsible for the failure or success of a compound in the drug development pipeline. The ideal drug candidate should be stable enough to reach its therapeutic site of action. Despite many recent excellent achievements in the field of computational methods supporting drug metabolism studies, a well-recognized procedure to model...
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The forecasted values of cutting power for sawing on band sawing machines for Polish Scots pine wood (Pinus sylvestris L.) in a function of its provenance.
PublicationIn this paper the predicted values of cutting power for band sawing machine (EB 1800, f. EWD), which is used in the Polish sawmills, were showed. The values of cutting power were forecasted for Scots pine (Pinus sylvestris L.) wood of five provenances from Poland. These values were determined using an innovative method of predicting the cutting power, which takes into account of elements of fracture mechanics. The resulting predictions...
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The Perception and Attitudes toward COVID-19 Vaccines: A Cross-Sectional Study in Poland
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Cost minimization of locating construction machinery park with the use of simulation and optimization algorithms
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Selected problems of planning machinery and devices location in a ship´s engine room.
PublicationPrzedstawiono podstawowe zasady rozplanowania maszyn i urządzeń w przedziale maszynowym na statku. Podano warunki i kryteria wpływające na proces projektowania rozmieszczenia maszyn i urządzeń w siłowni. Przedstawiono główne warunki i zasady dotyczące rozplanowania głównego układu napędowego, elektrowni, kotłowni pomocniczych oraz innych instalacji siłownianych.
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Maritime Communication and Sea Safety of the Future - Machnine-type 5G Communication Concept
PublicationThe article presents the concept of a system based on 5G network and M2M communication increasing maritime safety. Generally, the focus was on presenting a proposal for a hierarchical, hybrid, cooperative system with M2M communication coordinated with BAN networks. The possi-ble applications of M2M communication at sea were also presented.
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Active Control of Highly Autocorrelated Machinery Noise in Multivariate Nonminimum Phase Systems
PublicationIn this paper, a novel multivariate active noise control scheme, designed to attenuate disturbances with high autocorrelation characteristics and preserve background signals, is proposed. The algorithm belongs to the class of feedback controllers and, unlike the popular feedforward FX-LMS approach, does not require availability of a reference signal. The proposed approach draws its inspiration from the iterative learning control...
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Ming Studies
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Analysis of the instantaneous power signal for bearing diagnostics - bearing undamaged
Open Research DataThe attached dataset contains the measurement results of the instantaneous values of current and voltage, recorded during the diagnostics of an undamaged bearing. Bearing diagnostics can be carried out based on the method, which relies on the measurement and analysis of the variability of the signal instantaneous power, defined as the product of instantaneous...
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Integrated Processing: Quality Assurance Procedure of the Surface Layer of Machine Parts during the Manufacturing Step "Diamond Smoothing"
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Presentation of Novel Architecture for Diagnosis and Identifying Breast Cancer Location Based on Ultrasound Images Using Machine Learning
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
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Molecular Simulations Using Boltzmann’s Thermally Activated Diffusion - Implementation on ARUZ – Massively-parallel FPGA-based Machine
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The Influence of Permanent Magnet Length and Magnet Type on Flux-control of Axial Flux Hybrid Excited Electrical Machine
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The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
PublicationRubbers combine the flexibility with mechanical strength, supporting myriad applications, but suffer from inherent flammability. Formulation and production of flame-retardant rubber composites (FRRCs) have intensively been practiced over years, but not comprehensively reviewed. This necessity has outlined collecting, analyzing, screening, classifying, and interpreting the literature with the aim of classifying the FRRCs. We quantified...
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Improving platelet‐RNA‐based diagnostics: a comparative analysis of machine learning models for cancer detection and multiclass classification
PublicationLiquid biopsy demonstrates excellent potential in patient management by providing a minimally invasive and cost-effective approach to detecting and monitoring cancer, even at its early stages. Due to the complexity of liquid biopsy data, machine-learning techniques are increasingly gaining attention in sample analysis, especially for multidimensional data such as RNA expression profiles. Yet, there is no agreement in the community...
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Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
PublicationEfficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced...
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Development of advanced machine learning for prognostic analysis of drying parameters for banana slices using indirect solar dryer
PublicationIn this study, eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting (LightGBM) algorithms were used to model-predict the drying characteristics of banana slices with an indirect solar drier. The relationships between independent variables (temperature, moisture, product type, water flow rate, and mass of product) and dependent variables (energy consumption and size reduction) were established. For energy consumption,...
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Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
PublicationExamining the game-changing possibilities of explainable machine learning techniques, this study explores the fast-growing area of biochar production prediction. The paper demonstrates how recent advances in sensitivity analysis methodology, optimization of training hyperparameters, and state-of-the-art ensemble techniques have greatly simplified and enhanced the forecasting of biochar output and composition from various biomass...
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Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Network
PublicationDesigning microwave components involves managing multiple objectives such as center frequencies, impedance matching, and size reduction for miniaturized structures. Traditional multi-objective optimization (MO) approaches heavily rely on computationally expensive population-based methods, especially when exe-cuted with full-wave electromagnetic (EM) analysis to guarantee reliability. This paper introduces a novel and cost-effective...
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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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A pilot study to assess manufacturing processes using selected point measures of vibroacoustic signals generated on a multitasking machine
PublicationThe article presents the method for the evaluation of selected manufacturing processes using the analysis of vibration and sound signals. This method is based on the use of sensors installed outside the machining zone, allowing to be used quickly and reliably in real production conditions. The article contains a developed measurement methodology based on the specific location of microphones and vibration transducers mounted on...
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A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublicationComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
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THE EFFECT OF WOOD DRYING METHOD ON THE GRANULARITY OF SAWDUST OBTAINED DURING THE SAWING PROCESS USING THE FRAME SAWING MACHINE
PublicationThe experimental results of the study focused on the effect of drying processes of warm air drying at the temperature of 6580°C and warm air-steam mixture drying at the temperature of 105°C of pine and beech wood to the size of sawdust grains created by cutting using RPW 15M frame saw is presented in the paper. Particle size analysis of dry sawdust was performed using two methods - screening method and optical method based on...
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Multiple intermodal-vectorial four-wave mixing bands generated by selective excitation of orthogonally polarized LP01 and LP11 modes in a birefringent fiber
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Jacek Tejchman prof. dr hab. inż.
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Modélisation d'ordre non entier des machines synchrones. Modèle fréquentiel non linéaire, identification des paramètres, calcul de la réponse temporelle.
PublicationDans les réseaux d'énergie électrique contemporains, on assiste à une diversification considérable des différentes sources d'énergie. L'énergie produite est transformée par une grande quantité de dispositifs électriques pour être finalement acheminée à diverses installations électriques. Il devient donc primordial d'améliorer les modèles des différents composants électriques afin de pouvoir prévoir les interactions entre eux et...
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Advanced coating of interior of tanks for rising environmental safety of tankers - novel applications of polyurethanes
PublicationOpisano technologię nanoszenia ciekłego systemu poliuretanowego na niewygrzewane elementy stalowe i stalowo-betonowe oraz sposób łączenia powłoki poliuretanowej z wymienionymi materiałami, a także między sobą przy użyciu odpowiednich środków adhezyjnych. Scharakteryzowano metodę utylizacji i odzysku polioli z zużytych w badaniach powłok poliuretanowych w recyklingu surowcowym poprzez zastosowanie małoczšsteczkowych glikoli jako...
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Advanced coating of Tank Interior as means of Rising Environmental Safety of Tankers/RIM technology
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Linking the diversity of native flora to land cover heterogeneity and plant invasions in a river valley
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Chemical and Mechanical Pressure-Induced Photoluminescence Tuning via Structural Evolution and Hydrostatic Pressure
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Tuning the Wettability of a Thin Polymer Film by Gradually Changing the Geometry of Nanoscale Pore Edges
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Adipocyte Fatty Acid‐Binding Protein as a Novel Marker of Psoriasis and Clinical Response to Acitretin
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The effect of topical treatment and psoriasis severity on serum retinol-binding protein-4 levels
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Inhibition Ability of Natural Compounds on Receptor-Binding Domain of SARS-CoV2: An In Silico Approach
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Exploring the meaning of night shift placement in nursing education: A European multicentre qualitative study
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Studies on Aryl-Substituted Phenylalanines: Synthesis, Activity, and Different Binding Modes at AMPA Receptors
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Risk-averse decision-making to maintain supply chain viability under propagated disruptions
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Impact of the addition of dolomite to cream‐firing clays on the technological and color properties of sintered ceramics
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502 - Diagnosis of dementia and post-diagnostic support – voice of people with dementia living in Poland
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Proteomic-Biostatistic Integrated Approach for Finding the Underlying Molecular Determinants of Hypertension in Human Plasma
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Novel thermostable single-stranded DNA-binding protein (SSB) from Deinococcus geothermalis
PublicationW celu zbadania właściwości biochemicznych białka wiążącego się do jednoniciowego DNA (SSB) pochodzącego z Deinococcus geothermalis (DgeSSB), sklonowano gen ssb otrzymany w reakcji PCR, a następnie uzyskano wydajną biosyntezę białka DgeSSB. Gen składa się z 900 par zasad, kodujących białko złożone z 300 reszt aminokwasowych, o wyliczonej masie molekularnej równej 32.45 kDa. Sekwencja aminokwasowa wykazuje 43, 44% i 75% identyczności...
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On a method of modelling and simulation of vibration surveillance during ball end milling of flexible details
PublicationPraca dotyczy nadzorowania drgań podczas frezowania przedmiotów podatnych smukłym frezem kulistym, z uwzględnieniem zgodności parametrów modelu modalnego. Przeprowadzono analizę dynamiki procesu frezowania. Następnie przedstawiono analizę niestacjonarnego układu drgającego, w którym wyodrębniono podukłady: modalny, strukturalny i łączący. Do minimalizacji poziomu drgań zastosowano dopasowanie prędkości obrotowej wrzeciona do optymalnego...
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Modelling and investigation of vibration surveillance during ball end milling of curved flexible details
PublicationPraca dotyczy nadzorowania drgań podczas frezowania zakrzywionych przedmiotów podatnych smukłym frezem kulistym, z uwzględnieniem zgodności parametrów modelu modalnego. Dokonano analizy dynamiki niestacjonarnego układu drgającego, w którym wyodrębniono podukłady: modalny, strukturalny i łączący. Do minimalizacji poziomu drgań zastosowano dopasowanie prędkości obrotowej wrzeciona do optymalnego kąta przesunięcia fazowego. Zasadność...
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Combining tight-binding and molecular dynamics methods to model the behaviour of metals in the plastic regime
PublicationOpisujemy zastosowanie metody dwuskalowej (kwantowo-klasycznej) w zastosowaniu do metali. Region energetycznie najważniejszy jest traktowany kwantowo, podczas gdy reszta układu jest traktowana klasycznie. Wprowadzamy własną implementację metody oraz przedstawiamy uzyskane wyniki dla metali.
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Prediction of cutting forces during micro end milling considering chip thickness accumulation
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The Evaluation of Quality of the Co-Firing Process of Glycerine Fraction with Coal in the High Power Boiler
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Tool Life and Process Dynamics in High Speed Ball End Milling of Hardened Steel
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