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Search results for: circular sawing machine
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Sawing of wood - mechanics of cutting process, tools and machines.
PublicationW pracy przedstawiono wpływ obciażenia piły na dokładnośc przecinania. Zaprezentowano pilarkę ramową z eliptyczną trajektorią ruchu pił i hybrydowym dynamicznie wyrównoważonym napędem ramy piłowej, jak również wizyjny kontroler ostrzy pił tarczowych.
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Predictions of cervical cancer identification by photonic method combined with machine learning
PublicationCervical cancer is one of the most commonly appearing cancers, which early diagnosis is of greatest importance. Unfortunately, many diagnoses are based on subjective opinions of doctors—to date, there is no general measurement method with a calibrated standard. The problem can be solved with the measurement system being a fusion of an optoelectronic sensor and machine learning algorithm to provide reliable assistance for doctors...
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Neural Networks, Support Vector Machine and Genetic Algorithms for Autonomous Underwater Robot Support
PublicationIn this paper, artificial neural networks, a classification technique called support vector machine and meta-heuristics genetic algorithm have been considered for development in autonomous underwater robots. Artificial neural networks have been used for seabed modelling as well as support vector machine has been applied for the obstacles classification to avoid some collision problems. Moreover, genetic algorithm has been applied...
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublicationThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
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Fundamentals of Machine Design I
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Fundamental of Machine Design III
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Fundamentals of Machine Design II
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Fundamentals of Machine Design III
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Fundamentals of Machine Design I
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Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
PublicationThe entire manufacturing spectrum is transforming with the advent of Industry 4.0. The features of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) were utilized for developing Virtual Engineering Objects (VEO), Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF), which in turn facilitate the creation of smart factories. In this study, DDNA based Machine Monitoring for Total Maintenance...
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Dangerous sound event recognition using Support Vector Machine classifiers
PublicationA method of recognizing events connected to danger based on their acoustic representation through Support Vector Machine classification is presented. The method proposed is particularly useful in an automatic surveillance system. The set of 28 parameters used in the classifier consists of dedicated parameters and MPEG-7 features. Methods for parameter calculation are presented, as well as a design of SVM model used for classification....
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Genetic Algorithm Approach for Gains Selection of Induction Machine Extended Speed Observer
PublicationThe subject of this paper is gains selection of an extended induction machine speed observer. A high number of gains makes manual gains selection difficult and due to nonlinear equations of the observer, well-known methods of gains selection for linear systems cannot be applied. A method based on genetic algorithms has been proposed instead. Such an approach requires multiple fitness function calls; therefore, using a quality index...
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Model-Based Adaptive Machine Learning Approach in Concrete Mix Design
PublicationConcrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete...
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SSFR Test of Synchronous Machine for Different Saturation Levels using Finite-Element Method
PublicationIn this paper the StandStill Frequency Response characteristics (SSFR) of saturated synchronous generator (SG) have been calculated using Finite Element Method (FEM) analysis. In order to validate proposed approach for unsaturated conditions FEM simulation from Flux2D software has been compared with the measurements performed on the 10 kVA, 4- poles synchronous machine ELMOR GCe64a of salient rotor construction, equipped with a...
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Non-Adaptive Rotor Speed Estimation of Induction Machine in an Adaptive Full-Order Observer
PublicationIn the sensorless control system of an induction machine, the rotor speed value is not measured but reconstructed by an observer structure. The rotor speed value can be reconstructed by the classical adaptive law with the integrator. The second approach, which is the main contribution of this paper, is the non-adaptive structure without an integrator. The proposed method of the rotor speed reconstruction is based on an algebraic...
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Designing acoustic scattering elements using machine learning methods
PublicationIn the process of the design and correction of room acoustic properties, it is often necessary to select the appropriate type of acoustic treatment devices and make decisions regarding their size, geometry, and location of the devices inside the room under the treatment process. The goal of this doctoral dissertation is to develop and validate a mathematical model that allows predicting the effects of the application of the scattering...
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Quantitative Risk Assessment in Construction Disputes Based on Machine Learning Tools
PublicationA high monetary value of the construction projects is one of the reasons of frequent disputes between a general contractor (GC) and a client. A construction site is a unique, one-time, and single-product factory with many parties involved and dependent on each other. The organizational dependencies and their complexity make any fault or mistake propagate and influence the final result (delays, cost overruns). The constant will...
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Nonadaptive estimation of the rotor speed in an adaptive full order observer of induction machine
PublicationThe article proposes a new method of reproducing the angular speed of the rotor of a cage induction machine designed for speed observers based on the adaptive method. In the proposed solution, the value of the angular speed of the rotor is not determined by the classical law of adaptation using the integrator only by an algebraic relationship. Theoretical considerations were confirmed by simulation and experimental tests.
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A Universal Gains Selection Method for Speed Observers of Induction Machine
PublicationProperties of state observers depend on proper gains selection. Each method of state estimation may require the implementation of specific techniques of finding those gains. The aim of this study is to propose a universal method of automatic gains selection and perform its verification on an induction machine speed observer. The method utilizes a genetic algorithm with fitness function which is directly based on the impulse response...
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Robust and Efficient Machine Learning Algorithms for Visual Recognition
PublicationIn visual recognition, the task is to identify and localize all objects of interest in the input image. With the ubiquitous presence of visual data in modern days, the role of object recognition algorithms is becoming more significant than ever and ranges from autonomous driving to computer-aided diagnosis in medicine. Current models for visual recognition are dominated by models based on Convolutional Neural Networks (CNNs), which...
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The application of a photopolymer material for the manufacture of machine elements using rapid prototyping techniques
PublicationThe paper discusses the application of polymer resin for 3D printing. The first section focuses on rapid prototyping technique and properties of the photopolymer, used as input material in the manufacture of machine components. Second part of the article was devoted to exemplary 3-D-printed elements for incorporation in machines. The article also contains detailed description of problems encountered in implementation of the selected...
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MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences
Publication—Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...
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Evaluation of Machine Learning Methods for the Experimental Classification and Clustering of Higher Education Institutions
PublicationHigher education institutions have a big impact on the future of skills supplied on the labour market. It means that depending on the changes in labour market, higher education institutions are making changes to fields of study or adding new ones to fulfil the demand on labour market. The significant changes on labour market caused by digital transformation, resulted in new jobs and new skills. Because of the necessity of computer...
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Machine Dynamics Research
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublicationMachine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...
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Machine-aided detection of SARS-CoV-2 from complete blood count
PublicationThe current gold standard for SARS-CoV-2 detection methods lacks the functionality to perform population screening. Complete blood count (CBC) tests are a cost-effective way to reach a wide range of people – e.g. according to the data of the Central Statistical Office of Poland from 2016, there are 3,000 blood diagnostic laboratories in Poland, and 46% of Polish people have at least one CBC test per year. In our work, we show...
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Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment
PublicationThe study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain...
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Specific cutting resistance while sawing of wood - the size effect
PublicationW artykule przedstawiono wyniki analiz zmian właściwego oporu skrawania, przy zastosowaniu współczesnej mechaniki pękania z uwzględnieniem wiązkości. Analizy wykonano dla procesu przecinania drewna na pilarce ramowej PRW15M drewna jesionu i jesionu modyfikowanego termicznie. Zastosowane podejście pozwala na wyjaśnienie zjawiska wzrostu właściwego powierzchniowego oporu skrawania dla niewielkich grubości warstwy skrawanej jako efektu...
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The original method of cutting power forecasting while wood sawing
PublicationEfekty energetyczne procesu przecinania drewna piłami (siły skrawania i moc skrawania) przy klasycznym podejściu do zagadnienia są określane na podstawie wartości właściwego powierzchniowego oporu skrawania. Z drugiej strony siły skrawania można rozważać z punktu widzenia współczesnej mechaniki pękania. Prognozowanie wartości kąta ścinania z zastosowaniem modeli uwzględniających wiązkość materiału obrabianego, ścinanie w płaszczyźnie...
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On some approaches to cutting power estimation while wood sawing
PublicationW niniejszym artykule przedstawiono i porównano metody, które mogą być stosowane do szacowania mocy skrawania przy przecinaniu drewna na pilarkach tarczowych. Przy klasycznym podejściu efekty energetyczne procesu przecinania drewna piłami są obliczane na bazie właściwego powierzchniowego oporu skrawania. W internecie dostępne są narzędzia do określania mocy skrawania w postaci oprogramowania dostępnego on-line, przykładowo "Horsepower...
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Wood structure constraints on sawing accuracy with narrow-kerf saws
PublicationW pracy przedstawiono analizę przyczyn i przykłady niedokładności przecinania wynikających z lokalnych zmian struktury drewna.
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Dimensional accuracy and roughness of lamellas when sawing frozen wood
PublicationPrzedstawiono wpływ obniżania temperatury drewna sosnowego (-5°C i -20°C) i prędkości posuwu na dokładność wymiarową deszczułek oraz chropowatość powierzchni po przecinaniu. Badania prowadzono na pilarce ramowej wielopiłowej PRW15M z użyciem cienkich pił z ostrzami stellitowanymi. Otrzymywane wyniki odnoszono do wyników przecinania drewna o temperaturze +18°C. Profil grubości określano metodą kontaktową z pomiarem ciągłym na długości...
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Determination of optimal rotational speeds of circular saws
PublicationW pracy przedstawiono możliwości diagnostyczne stanowiska HewSaw do badania zachowania się pił w funkcji prędkości obrotowej piły. Wykazano, ze wyznaczone wartości prędkości optymalnych badanych pił leżą poniżej wartości zalecanych przez producenta. Praca z prędkościami wyższymi od optymalnych może prowadzić do zwiększenia strat materiałowych, a także stwarzać zagrożenia dla obsługi.
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Analysis of circular cavity with tunable combline resonator
PublicationArtykuł prezentuje analizę rozpraszania fali elektromagnetycznej na obiekcie cylindrycznym umieszczonym we wnęce rezonansowej. Metodą analizy jest metoda dopasowania rodzajów.
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Dipole matrix for the 2D inclusions close to circular
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On the Absolute Stereochemistry of Tolterodine: A Circular Dichroism Study
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Chladni and circular saw disc vibrations visualisation
PublicationIn this paper are described some methods for saw disc vibration monitoring in march of time (chronology). Ernst Chaldni, the father of sound visualisation and his patternsis are mentioned. In the last partof article are introduced results received with authors measuring systems.
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Circular saw blade dynamics - the measurement method
PublicationW pracy przedstawiono przyczyny i efekty zmiany położenia ostrzy piły tarczowej w układzie przecinania. Przedstawiony sposób pomiaru dynamiki piły tarczowej umożliwia określenie przyczyn drgań, co stanowi podstawę skutecznej ich minimalizacji.
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Circular saw teeth control with vision method
PublicationOpisano automatyczne urządzenie do automatycznego sprawdzania geometrii pił tarczowych WKOPTar. Określono błędy pozycjonowania ostrzy piły, której obrót jest sterowany w sposób automatyczny z wykorzystaniem obrazu ostrzy z kamery rejestrującej obraz powierzchni przyłożenia. Zaprezentowano szereg wyników pomiarów dokładności wykonania ostrzy piły.
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Plane wave scattering by an array of circular cylinders
PublicationMetodę dopasowania rodzajów zastosowano do połączenia zastępczego pola rozproszonego od dowolnej konfiguracji dwuwarstwowych prętów ferrytowych i dielektrycznych z pobudzeniem falą płaską. Zaprezentowano charakterystyki rozpraszania zarówno w strefie dalekiej jaki i bliskiej dla kilku konfiguracji prętów przy pobudzeniu falą płaską.
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Assessment of radial run-out of circular saw.
PublicationW pracy przedstawiono ocenę bicia promieniowego pił tarczowych na podstawie analizy zróżnicowania przekrojów warstw skrawanych przez poszczególne ostrza piły
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Viscoplastic analysis of damped vibrations of circular plate
PublicationGłównym celem artykułu jest przedstawienie procedury do nieliniowej statycznej i dynamicznej analizy MES z lepkoplastycznym prawem Bodnera-Partoma. Przedstawione są podstawowe równania modelu konstytutywnego wraz z koncepcją implementacji do komercyjnego programu MSC.Marc przy użyciu procedury UVSCPL. Przedstawiono przykład analizy numerycznej płyty kołowej, zweryfikowany eksperymentalnie. Dodatkowo przedstawiono koncepcje wyznaczania...
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Noise profiling for speech enhancement employing machine learning models
PublicationThis paper aims to propose a noise profiling method that can be performed in near real-time based on machine learning (ML). To address challenges related to noise profiling effectively, we start with a critical review of the literature background. Then, we outline the experiment performed consisting of two parts. The first part concerns the noise recognition model built upon several baseline classifiers and noise signal features...
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Study of various machine learning approaches for Sentinel-2 derived bathymetry
PublicationIn recent years precise and up-to-date information regarding seabed depth has become more and more important for companies and institutions that operate on coastlines. While direct, in-situ measurements are performed regularly, they are expensive, time-consuming and impractical to be performed in short time intervals. At the same time, an ever-increasing amount of satellite imaging data becomes available. With these images, it...
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Predicting emotion from color present in images and video excerpts by machine learning
PublicationThis work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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Foundations and Trends in Machine Learning
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International Journal of Machine Intelligence
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Machine Learning and Knowledge Extraction
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