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Wyniki wyszukiwania dla: marine propulsors
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From evil demiurge to caring hero: images of geneticists in the movies
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Parental experiences and needs of caring for a child with 22q11.2 deletion syndrome
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Hybrid-Excited Permanent Magnet-Assisted Synchronous Reluctance Machine
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Performance Evaluation of an Axial Flux Machine with a Hybrid Excitation Design
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Hybrid Excited Synchronous Machine with Wireless Supply Control System
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Clamping precision of a cilcular saw blade on a spindle of a sawing machine
PublikacjaW pracy przedstawiono analizę dokładności mocowania piły tarczowej na wrzecionie pilarki, w której uwzgledniono jedynie tolerancje wykonania układu wrzeciona pilarki i piły tarczowej.
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Portable computer measurement system of machine tools in wood industry
PublikacjaW pracy przedstawiono przenośny system diagnostyczny przeznaczony do oceny pracy obrabiarek skrawających i urządzeń przemysłu drzewnego. Ocena procesu obróbczego odbywa się na podstawie pomiaru wielkości mechanicznych, takich jak: prędkość obrotowa , przemieszczenia oraz przyspieszenia. Korzystanie z programów komputerowych, w które system jest wyposażony, pozwala użytkownikowi maszyn na przeprowadzanie szczegółowych analiz, dzięki...
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The methods of fretting wear prevention in machine elements : chapter 9
PublikacjaOpisano skutki procesu frettingu w elementach maszyn i warunki ich wystąpienia. Przedstawiono przegląd metod zapobiegania zużyciu frettingowemu i jego ograniczania. Opisano laboratoryjne badania zużywania frettingowego wybranych skojarzeń w warunkach umożliwiających ograniczanie zużycia.
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublikacjaPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile...
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Simplified, serine‐rich theta‐defensin analogues as antitumour peptides
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Biofilms in the gravity sewer interfaces: making a friend from a foe
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Antenna Optimization Using Machine Learning with Reduced-Dimensionality Surrogates
PublikacjaIn modern times, antenna design has become more demanding than ever. The escalating requirements for performance and functionality drive the development of intricately structured antennas, where parameters must be meticulously adjusted to achieve peak performance. Often, global adjustments to geometry are necessary for optimal results. However, direct manipulation of antenna responses evaluated with full-wave electromagnetic (EM)...
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Cognitive motivations and foundations for building intelligent decision-making systems
PublikacjaConcepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in...
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A Universal Gains Selection Method for Speed Observers of Induction Machine
PublikacjaProperties 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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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublikacjaThis study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...
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2D Mathematical Model of the Commutator Sliding Contact of an Electrical Machine
PublikacjaW artykule przedstawiono model matematyczny 2D komutatorowego zestyku ślizgowego z wieloma stopniami swobody. W modelu uwzględniono zmienne wymuszenia działające na szczotkę. Wymuszenia te są wynikiem falistości wirującego komutatora. Szczotka została zamodelowana jako system wielu mas, elementów sprężystych i tłumików rozłożonych w kierunku stycznym i promieniowym. Zamodelowano wszystkie oddziaływania lepkosprężyste pomiędzy komutatorem...
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Sensorless Control of Induction Machine Supplied by Current Source Inverter
PublikacjaThe paper describes the voltage control technique of induction machines supplied by a current source inverter. The control system is based on proposed new multi-scalar variables, which are named “r.” The control system contains the output filter capacitor's model. In the sensorless control system the Z type backstepping speed observer was applied. The mathematical dependences are confirmed by simulation and experimental research.
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Broken rotor bar impact on sensorless control of induction machine
PublikacjaThe aim of the research is analysis of the sensorless control system of induction machine with broken rotor for diagnostic purposes. Increasing popularity of sensorless controlled variable speed drives requires research in area of reliability, range of stable operation, fault symptoms and application of diagnosis methods. T transformation (Cunha et al.,2003) used for conversion of instantaneous rotor currents electrical circuit...
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The Influence of Abrasive Machine on Temperature During One Side Lapping
PublikacjaPrzedstawiono wyniki badań temperatury układu wykonawczego docierarki jednotarczowej. Analizowano temperaturę trzech pierścieni prowadzących separatory przy wykorzystaniu kamery termograficznej V-20 II firmy VIGO System S.A.
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Multi-criterion, evolutionary and quantum decision making in complex systems
PublikacjaMulti-criterion, evolutionary and quantum decision making supported by the Adaptive Quantum-based Multi-criterion Evolutionary Algorithm (AQMEA) has been considered for distributed complex systems. AQMEA had been developed to the task assignment problem, and then it has been applied to underwater vehicle planning as another benchmark three-criterion optimization problem. For evaluation of a vehicle trajectory three criteria have...
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Noise profiling for speech enhancement employing machine learning models
PublikacjaThis 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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Machine learning applied to acoustic-based road traffic monitoring
PublikacjaThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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Machine learning-based prediction of preplaced aggregate concrete characteristics
PublikacjaPreplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublikacjaLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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Machine learning applied to acoustic-based road traffic monitoring
PublikacjaThe motivation behind this study lies in adapting acoustic noise monitoring systems for road traffic monitoring for driver’s safety. Such a system should recognize a vehicle type and weather-related pavement conditions based on the audio level measurement. The study presents the effectiveness of the selected machine learning algorithms in acoustic-based road traffic monitoring. Bases of the operation of the acoustic road traffic...
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The methodology of design of satellite working mechanism of positive displacement machine
PublikacjaIn this paper is described a methodology of design of satellite mechanism consisting of two noncircular gears (externally toothed rotor and internally toothed curvature) and circular gears (satellites). In the presented methodology is assumed that the rotor pitch line is known, and the curvature pitch line is necessary to designate. The presented methodology applies to mechanisms for which the number of the curvature humps is at...
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Designing acoustic scattering elements using machine learning methods
PublikacjaIn 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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Experience-Driven Model of Decision-Making Processes in Project Teams
PublikacjaThis article presents a model of decision-making processes in project teams. Project teams constitute a specific type of organization appointed to implement a project. Decisions made by project teams result from the methods of project management and best management practices. The authors have undertaken the task of formalizing these processes using the classical method of constructing decision trees. It has been established that...
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Experimental analysis of chip removing system in circular sawing machine
PublikacjaPaper presents analysis of the process of removing the wood chips generated during the cutting of the material on the circular sawing machine. The attention is focused on the upper cover of the chip removing system. Within the framework of the work a systematic experimental study of pressure distribution in the cover during operation of the selected rotational speed of saw blade with a diameter of 300 mm and 450 mm was carried...
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Optimization of chip removing system operation in circular sawing machine
PublikacjaThe paper presents the optimization of the wood chips removing system in the sliding table saw. Chips are generated during the cutting of the material. The attention was focused on the upper casing of mentioned system. The methodical experimental studies of the pressure distribution inside the casing during the wood chip removing operation for the selected rotational speed of saw blade with a diameter of 300 mm and 450 mm were...
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DECISION - MAKING IN VIRTUAL SOFTWARE TEAMS USING CLOUD PLATFORMS
PublikacjaSoftware development projects are usually realized by traditional or virtual IT teams using computing clouds. Team collaboration requires decision - making regarding essential aspects of a project progress. The article concerns methods of decision – making process in the case of traditional and virtual teams’ work. The research results conducted in a group of IT specialists are presented, and to analyze their preferences in decision-making...
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Playback detection using machine learning with spectrogram features approach
PublikacjaThis paper presents 2D image processing approach to playback detection in automatic speaker verification (ASV) systems using spectrograms as speech signal representation. Three feature extraction and classification methods: histograms of oriented gradients (HOG) with support vector machines (SVM), HAAR wavelets with AdaBoost classifier and deep convolutional neural networks (CNN) were compared on different data partitions in respect...
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Profile irregularities of turned surfaces as a result of machine tool interactions
PublikacjaThe paper describes the influence of the machining operation on a surface, which disturbs the projection of the tool profile in the form of its relative movements with respect to the object. The elements of the machine tool undergo constant wear during the machining process, it is therefore important to recognize the effects of their influence on the surface's irregularities. Amplitude-frequency analysis of lateral profiles has...
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Decision Making in Manufacturing and Services
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Journal of Machine Construction and Maintenance
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Multiple Criteria Decision Making
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Cinemas d Amerique Latine
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Foundations and Trends in Machine Learning
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Fuzzy Optimization and Decision Making
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International Journal of Machine Intelligence
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Journal of Physical Education (Maringa)
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International Journal of Caring Sciences
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JOURNAL OF MACHINE LEARNING RESEARCH
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International Journal of Care and Caring
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Machine Learning and Knowledge Extraction
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Machine Learning-Science and Technology
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JOURNAL OF BEHAVIORAL DECISION MAKING
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International Journal for Human Caring
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SCANDINAVIAN JOURNAL OF CARING SCIENCES
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Textile wastewater treatment by AOPs for brine reuse
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