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Wyniki wyszukiwania dla: UNRESCOARSE GRAINING
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Effects of concurrent heat and hypoxic training on cycling anaerobic capacity in men
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Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters
PublikacjaThis paper focuses on convolution neural network quantization problem. The quantization has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process of quantization is associated with the reduction of the matrix dimension via limited precision of the numbers. However, the training and inference stages of deep learning neural network are limited by the space of the memory and a...
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Exploration of Creativity Techniques in Software Engineering in Training-Application-Feedback Cycle
PublikacjaCreativity research has proposed about a hundred and fifty creativity techniques. The question is whether they can be applied in software engineering for creativity training or directing creativity in software projects. This paper aims at answering this question via a quasi-experiment conducted in Training-Application-Feedback cycle in which participants express their opinions about selected creativity techniques after training...
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Through the looking-glass of the grazing bifurcation
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Modeling and Simulation Method of Precision Grinding Processes
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Correlation between shape errors in flat grinding
PublikacjaW pracy przedstawiono wyniki badań eksperymentalnych i symulacyjnych związanych z wpływem błędów kształtu narzędzia na błędy ksztaltu przedmiotu szlifowanego w układzie docierarki jednotarczowej. Szlifowanie realizowane było z wykorzystaniem specjalnych narzędzi z możliwością regulacji przekroju promieniowego.
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Measurement and analysis of parameters of the precise grinding system
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Gaining knowledge through experience: developing decisional DNA applications in robotics
PublikacjaOmówiono nowatorskie podejscie do zastosowania wiedzy opartej na doświadczeniu i budowie decyzyjnego DNA w obszarach związanych z robotyką.In this article, we explore an approach that integrates Decisional DNA, a domain-independent, flexible, and standard knowledge representation structure, with robots in order to test the usability and suitability of this novel knowledge representation structure. Core issues in using this Decisional...
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The use of ICT tools in gaining knowledge about law in judicial decisions
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Leveraging Training Strategies of Artificial Neural Network for Classification of Multiday Electromyography Signals
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Maximizing Muscle Hypertrophy: A Systematic Review of Advanced Resistance Training Techniques and Methods
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METHOD OF TRAINING THE ENDOSCOPIC VIDEO ANALYSIS ALGORITHMS TO MAXIMIZE BOTH ACCURACY AND STABILITY
PublikacjaIn the article a new training and testing method of endoscopic video analysis algorithms is presented. Classical methods take into account only eciency of recognizing objects on single video frames. Proposed method additionally considers stability of classiers output for real video input. The method is simple and can be trained on data sets created for other solutions. Therefore, it is easily applicable to existing endoscopic video...
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The effects of nordic walking training on blood antioxidant defence in patients with intermittent claudication
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Project-Based Collaborative Research and Training Roadmap for Manufacturing Based on Industry 4.0
PublikacjaThe importance of the economy being up to date with the latest developments, such as Industry 4.0, is more evident than ever before. Successful implementation of Industry 4.0 principles requires close cooperation of industry and state authorities with universities. A paradigm of such cooperation is described in this paper stemming from university partners with partly overlapping and partly complementary areas of expertise in manufacturing....
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Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
PublikacjaIn the paper we provide thorough benchmarking of deep neural network (DNN) training on modern multi- and many-core Intel processors in order to assess performance differences for various deep learning as well as parallel computing parameters. We present performance of DNN training for Alexnet, Googlenet, Googlenet_v2 as well as Resnet_50 for various engines used by the deep learning framework, for various batch sizes. Furthermore,...
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Computer-assisted pronunciation training—Speech synthesis is almost all you need
PublikacjaThe research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...
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Grinding-induced functionalization of carbon-encapsulated iron nanoparticles
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Depression and anxiety in coronary artery bypass grafting patients
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Identification and characterization of the grinding burns by eddy current method
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Wear of Electroplated Tools Used for Flat Grinding of Ceramics
PublikacjaTwo methods for the abrasive properties evaluation, based on the image processing, are presented in the paper. Image processing analysis was developed to evaluate quickly the abrasive properties as the tool wears down. The coefficient based on the image brightness was calculated and additional analysis was based on the number of grains located on the active surface of the tool before and after machining. The active surfaces of...
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Monitoring of single-side lap grinding with electroplated tools
PublikacjaThe results presented in the paper show that utilising microphones as audible sound sensors is a suitable approach for monitoring a single-side lap grinding process due to the low levels of noise generated by the drives of a machine tool. The results confirm that sound signal analysis is a feasible and relatively simple method to monitor a lap grinding process with the use of an audible sound sensor. Proposed method can be used...
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Estimation of wear of electroplated tools used for surface grinding
PublikacjaW pracy dokonano ilościowej oceny zużycia narzędzi galwanicznych diamentowych i borazonowych. Wykorzystano analizę jasności obrazów narzędzi oraz badano liczność ziaren ściernych na czynnej powierzchni narzędzia.
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Topology of vibro-impact systems in the neighborhood of grazing
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Modeling of active fiber Bragg grating sensors
PublikacjaW artykule omówiono działanie przetwornika hydrofonu wykorzystującego profilowaną membranę sprzężoną z aktywną światłowodową siatką Bragga. W wyniku modelowania, wykonanego Metodą Elementów Skończonych, stwierdzono występowanie gradientów naprężeń wzdłuż siatki. Opracowano program do modelowania pasywnych i aktywnych światłowodowych siatek Bragga wykorzystujący metodę modów sprzężonych. Przedstawiono charakterystyki widmowe pasywnych...
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Vaccine versus infection – COVID-19-related loss of training time in elite athletes
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Can olfactory training support improvement of cognitive functioning in patients with mild cognitive impairment?
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The impact of military activities on the concentration of mercury in soils of military training grounds and marine sediments
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The Influence of Grip Width on Training Volume During the Bench Press with Different Movement Tempos
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Changes in Muscle Pattern Activity during the Asymmetric Flat Bench Press (Offset Training)
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Safety and Impact on Training of the Influenza Vaccines in Elite Athletes Participating in the Rio 2016 Olympics
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Vehicle detector training with labels derived from background subtraction algorithms in video surveillance
PublikacjaVehicle detection in video from a miniature station- ary closed-circuit television (CCTV) camera is discussed in the paper. The camera provides one of components of the intelligent road sign developed in the project concerning the traffic control with the use of autonomous devices being developed. Modern Convolutional Neural Network (CNN) based detectors need big data input, usually demanding their manual labeling. In the presented...
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublikacjaThis chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...
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Clinical Training during the COVID-19 Pandemic: Experiences of Nursing Students and Implications for Education
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Effects of Intermittent Hypoxic Training on Aerobic Capacity and Second Ventilatory Threshold in Untrained Men
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublikacjaArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Grinding specifics of plasma coatings melted with high-frequency currents
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Reduction of noise and rolling resistance by horizontal grinding of asphalt pavements
PublikacjaGrinding of cement concrete pavements to reduce unevenness and noise is common since a long time. Grinding is then made with wheels equipped with diamond blades rotating in the vertical plane. This creates narrow vertical/longitudinal grooves in the pavement. It is not applied to asphalt pavements. In this paper an alternative type of grinding is studied. In this case plates with diamond heads rotate in the same plane as the pavement,...
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POWER EFFICIENCY OF POWER PLANTS ON TRAILING SUCTION HOPPER DREDGERS
PublikacjaThis paper presents the notion of operational power efficiency and compares it with the classical definition of power efficiency. There are presented also calculation results of power efficiency for a selected suction hopper dredger and also influence of power system type of suction hopper dredger on magnitude of power efficiency of its power plant has been highlighted.
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Greening Higher Education in Europe. Institutional Transitions to Sustainable Development
PublikacjaThis book provides a comprehensive overview of the advances made in European higher education institutions (HEIs) over the last twenty years in response to the challenges of sustainable development. In recent years, there has been a visible shift toward sustainable development, and universities have been addressing their accountability to the public through corporate social responsibility. Greening Higher Education in Europe explores...
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Demand determination for electrical energy for trailing suction hopper dredgers
PublikacjaPrzedstawiono metodę określania obciążeń elektrowni w typowych stanach eksploatacji pogłębiarki ssącej nasiębiernej. Przedstawiono sposób określania średniego zapotrzebowania energii elektrycznej i jego odchylenia standardowego. Wykorzystano dane dokumentacji projektowych 10 pogłębiarek ssących nasiębiernych oraz wyniki badań eksploatacyjnych pogłębiarek zawarte w bazie danych DRAGA.
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Grating resonances as an alternative to plasmon resonances in nanophotonics applications
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A Comparison of Basic Training Variables in the Standard and Cambered Bar Bench Press Performed to Volitional Exhaustion
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Military Training Areas and Vegetation – the Effect of Explosion Craters on Species Diversity along a Moisture Gradient
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Key logistics processes in project management based on organisation of an international training session-case study
PublikacjaImprovement of processes, including the logistics processes forms one of the essential aspects of modern business entities functioning. Search for the solutions allowing for quicker and less costly method of realisation of particular activities in highly significant, especially in the conditions of a dynamically changing environment in which the organisations have to function. It is a natural field occuring principally both in...
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Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions
PublikacjaWith the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are...
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Daylight Appraisal Classes For Achitecture Students A Survey Combined With A Practical Assessment For Educational Training Recommendations
PublikacjaThe main objectives of this article are: (i) to present the relations between architecture students' subjective assessment of daylight in classrooms and the objective evaluation of daylit conditions using daylight simulations tools, (ii) to formulate guidelines and recommendations on daylight appraisal methods and tools which may be useful in architectural training. The methodology used includes an evaluation of the results of...
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Modeling and Simulation for Exploring Power/Time Trade-off of Parallel Deep Neural Network Training
PublikacjaIn the paper we tackle bi-objective execution time and power consumption optimization problem concerning execution of parallel applications. We propose using a discrete-event simulation environment for exploring this power/time trade-off in the form of a Pareto front. The solution is verified by a case study based on a real deep neural network training application for automatic speech recognition. A simulation lasting over 2 hours...
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To Survive in a CBRN Hostile Environment: Application of CAVE Automatic Virtual Environments in First Responder Training
PublikacjaThis paper is of a conceptual nature and focuses on the use of a specific virtual reality environment in civil-military training. We analyzed the didactic potential of so-called CAVE automatic virtual environments for First Responder training, a type of training that fills the gap between First Aid training and the training received by emergency medical technicians. Since real training involves live drills based on unexpected situations,...
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Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping
PublikacjaIn this paper we demonstrate that it is possible to obtain considerable improvement of performance and energy aware metrics for training of deep neural networks using a modern parallel multi-GPU system, by enforcing selected, non-default power caps on the GPUs. We measure the power and energy consumption of the whole node using a professional, certified hardware power meter. For a high performance workstation with 8 GPUs, we were...
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Creating neural models using an adaptive algorithm for optimal size of neural network and training set.
PublikacjaZaprezentowano adaptacyjny algorytm generujący modele neuronowe liniowych układów mikrofalowych, zdolny do oszacowania optymalnego rozmiaru zbiory uczącego i sieci neuronowej. Stworzono kilka modeli nieciągłości falowodowych i mokropaskowych, a następnie zweryfikowano ich poprawność porównując wyniki analiz metodą dopasowania rodzajów i metodą momentów filtrów pasmowo-przepustowych.