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Search results for: marine robotics
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Clamping precision of a cilcular saw blade on a spindle of a sawing machine
PublicationW 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
PublicationW 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
PublicationOpisano 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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2D Mathematical Model of the Commutator Sliding Contact of an Electrical Machine
PublicationW 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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Automatic Marking of Allophone Boundaries in Isolated English spoken Words
PublicationThe work presents a method that allows delimiting the borders of allophones in isolated English words. The described method is based on the DTW algorithm combining two signals, a reference signal and an analyzed one. As the reference signal, recordings from the MODALITY database were used, from which the words were extracted. This database was also used for tests, which were described. Test results show that the automatic determination...
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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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Machine learning applied to acoustic-based road traffic monitoring
PublicationThe 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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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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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid 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-based prediction of preplaced aggregate concrete characteristics
PublicationPreplaced-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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Textile wastewater treatment by AOPs for brine reuse
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Cyfrowa wewnątrzsamolotowa magistrala komunikacyjna ARINC 429
PublicationW artykule przedstawiono standard cyfrowej magistrali komunikacyjnej ARINC 429 przeznaczonej do współpracy urządzeń na pokładzie samolotów. Skupiono się na warstwie fizycznej i protokolarnej tego standardu.
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Non‐Proteasomal Urine Activity in Bladder Cancer
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Three-Dimensional Thematic Map Imaging of the Yacht Port on the Example of the Polish National Sailing Centre Marina in Gdańsk
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Chemical structures, rheological and physical properties of biopolyols prepared via solvothermal liquefaction of Enteromorpha and Zostera marina biomass
PublicationIn this work, liquefied biomass from the Baltic Sea was used for the preparation of rigid polyurethane (PUR) foams. The biomass contained 10 wt% of Enteromorpha macroalgae and 90 wt% of Zostera marina seagrass characterized by a high content of cellulose. The influence of time, temperature and the type of solvent on the efficiency of the liquefaction process and properties of biopolyols was determined. Obtained materials were analyzed...
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A model of fuel combustion process in the marine reciprocating engine work space taking into account load and wear of crankshaft-piston assembly and the theory of semi-Markov processes
PublicationThe ar ticle analyses the operation of reciprocal internal combu stion engines, with mar ine engines u sed a s an example. The analysis takes into account types of energy conversion in the work spaces (cylinders) of these engines, loads of their crankshaft-piston assemblies, and types of fuel combustion which can take place in these spaces during engine operation. It is highlighted that the analysed time-dependent loads of marine...
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Learning and memory processes in autonomous agents using an intelligent system of decision-making
PublicationThis paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...
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Learning and memory processes in autonomous agents using an intelligent system of decision-making
PublicationThis paper analyzes functions and structures of the memory that is an indispensable part of an Intelligent System of Decision-making (ISD), developed as a universal engine for autonomous robotics. A simplified way of processing and coding information in human cognitive processes is modelled and adopted for the use in autonomous systems. Based on such a knowledge structure, an artificial model of reality representation and a model...
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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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Selection of form factors of machine carrying systems in reliance on the process duty
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Features of Machine Cyclogram Optimization with the Account of Interaction of Mechanism Links with Stops
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Determination of the rigidity and deformation energy of the technological machine load-carrying systems
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Efficient sampling of high-energy states by machine learning force fields
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ELECTROCHEMOTHERAPY COMBINED WITH STANDARD AND CO2 LASER SURGERIES IN CANINE ORAL MELANOMA
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Analysis of the applicability of laser scanning to making an inventory of swimming pool facilities
Publication3D scanning can be used in many branches of economy, e.g. reverse and prototype engineering, industrial design, quality control, pros-thetics, orthodontics, archiving of historic objects and archeological findings, examination of a scene of crime, making films and comput-er games. The technology of terrestrial laser scanning has a bright fu-ture as we are living in the time of blooming measurement tech-niques, which can provide...
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ELECTRON-IMPACT IONIZATION CROSS SECTIONS CALCULATIONS FOR PURINE AND PYRIMIDINE MOLECULES
PublicationCross sections for electron-impact ionization of purine and pyrimidine molecules have been calculated using binary-encounter-Bethe method for electron energies ranging from the ionization threshold up to 5 keV. Ionization cross section for purine molecules is 1.4 times higher than for pyrimidine molecules. Acceptable agreement between experimental and theoretical ionization data for pyrimidine molecule has been found.
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Acceleration of decision making in sound event recognition employing supercomputing cluster
PublicationParallel processing of audio data streams is introduced to shorten the decision making time in hazardous sound event recognition. A supercomputing cluster environment with a framework dedicated to processing multimedia data streams in real time is used. The sound event recognition algorithms employed are based on detecting foreground events, calculating their features in short time frames, and classifying the events with Support...
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Modular machine learning system for training object detection algorithms on a supercomputer
PublicationW pracy zaprezentowano architekturę systemu służącego do tworzenia algorytmów wykorzystujących metodę AdaBoost i służących do wykrywania obiektów (np. twarzy) na obrazach. System został podzielony na wyspecjalizowane moduły w celu umożliwienia łatwej rozbudowy i efektywnego zrównoleglenia implementacji przeznaczonej dla superkomputera. Na przykład, system może być rozszerzony o nowe cechy i algorytmy ich ekstrakcji bez konieczności...
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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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Multi-criterion decision making in distributed systems by quantum evolutionary algorithms
PublicationDecision making by the AQMEA (Adaptive Quantum-based Multi-criterion Evolutionary Algorithm) has been considered for distributed computer systems. AQMEA has been extended by a chromosome representation with the registry of the smallest units of quantum information. Evolutionary computing with Q-bit chromosomes has been proofed to characterize by the enhanced population diversity than other representations, since individuals represent...
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Application of decision–making parametric structures in the analysis of a compound planetary gear
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The immunological, biochemical and molecular bases of canine senescence and carcinogenesis: a review
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Making digital TV smarter: capturing and resusing experience in digital TV
PublicationZaproponowano inteligentny system wspomagania funkcjonowania telewizji cyfrowej opraty na decyzyjnym DNA oraz formalizacji wiedzy w postaci zbioru doswiadczen.
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Molecular Diffusion Simulation on ARUZ – Massively-parallel FPGA-based Machine
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Caring for Children with Dravet Syndrome: Exploring the Daily Challenges of Family Caregivers
PublicationWhile Polish studies focus on the symptoms, causes and treatment of people suffering from Dravet syndrome (DS), much less is known about the situation of the family caregivers of DS children. This study was designed to explore the experiences, daily challenges and needs related to caring for DS children. An anonymous self-administered online questionnaire was developed. Thesurvey was completed by 75 family caregivers affiliated...
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Modified Ventral Femoral Head and Neck Ostectomy: A Canine Cadaver Study
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Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making
PublicationThis paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering...
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Research on a permanent magnet assisted synchronous reluctance machine with hybrid excitation
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Stacking and rotation-based technique for machine learning classification with data reduction
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POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS
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Calculation of self and mutual inductances of the switched reluctance machine mathematical model.
PublicationA mathematical model of the switched reluctance machine (SRM) in a drive system obtained using Lagrange's energy method and a method of calculation of self and mutual inductances of the SRM are presented in the paper. The self and mutual inductances are elements of Lagrange's function in generalised coordinates and have been calculated using the finite element method (FEM). Selected calculation results for the particular machine...
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Defect in Mitochondrial NADH-Dehydrogenase Genes in Canine Mast Cell Tumours
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Kinetics and Mechanism of Potassium Persulphate/L-Serine Initiated Polymerization of Methylmethacrylate
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Kult obrazów według Reformatorów: Marcina Lutra i Jana Kalwina
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The use of tamping machine for diagnosising the longitudinal forces in rails of CWR track
PublicationW pracy przedstawiono przebieg prowadzonych od kilkunastu lat w Politechnice Gdańskiej badań nad wyznaczaniem sił podłużnych w szynach toru bezstykowego. Opisano skonstruowaną aparaturę pomiarową. Badania eksperymentalne polegały na podnoszeniu, a następnie poprzecznym nasuwaniu rusztu torowego za pomocą podbijarki. Rejestrowano przy tym wartości przemieszczeń toru oraz odkształcenia siłowników hydraulicznych. W rezultacie ostatnich...
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Tests on lateral resistance in railway track during operation of tamping machine
PublicationArtykuł prezentuje koncepcję prowadzenia badań oporów poprzecznych w trakcie procesu regulacji geometrycznej toru kolejowego za pomocą podbijarki. Jest to zatem kontynuacja badań nad zastosowaniem podbijarki torowej w diagnostyce toru bezstykowego; wcześniej zajmowano się kwestią określania sił podłużnych w szynach. Przedstawiono sposób wyznaczania oporów poprzecznych polegający na ciągłej rejestracji przemieszczenia oraz siły...
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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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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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Evaluation of aspiration problems in L2 English pronunciation employing machine learning
PublicationThe approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...
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Technology and democracy: the who and how in decision-making. The cases of Estonia and Catalonia
PublicationThis paper focuses on the use of technology to improve democracy, comparing the cases of Estonia and Catalonia. Both examples are closely related in their use of technology to further democratize the decision-making processes but have opposite starting points. Estonia’s internet voting system is an offshoot of the comprehensive e-governance system developed by the Estonian government. It is meant to make it more convenient for...