Search results for: QUANTIZATION AWARE TRAINING - Bridge of Knowledge

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Search results for: QUANTIZATION AWARE TRAINING

Search results for: QUANTIZATION AWARE TRAINING

  • Development and test of fex, a fingers extending exoskeleton for rehabilitation and regaining mobility

    Publication

    - International Journal of Mechanics and Control - Year 2018

    This paper presents the design process of an exoskeleton for executing human fingers' extension movement for the rehabilitation procedures and as an active orthosis purposes, together with its first clinical usability tests of a robotic exoskeleton. Furthermore, the Fingers Extending eXoskeleton (FEX) is a serial, under-actuated mechanism capable of executing fingers' extension. FEX is based on the state-of-art FingerSpine serial...

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  • Creating new voices using normalizing flows

    Publication
    • P. Biliński
    • T. Merritt
    • A. Ezzerg
    • K. Pokora
    • S. Cygert
    • K. Yanagisawa
    • R. Barra-Chicote
    • D. Korzekwa

    - Year 2022

    Creating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities. Firstly, we create an approach for TTS...

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  • Narzędzia treningu twórczości jako pomoc w kształceniu projektantów

    Publication

    - Year 2016

    Kreatywność rozwijać. Na tym założeniu opiera się międzynarodowy program edukacyjny Odyssey of the Mind (Odyseja Umysłu). W programie zespoły młodych osób pracują metodą projektową, wykorzystując różnorodne techniki treningu twórczości, nad rozwiązaniem abstrakcyjnego problemu rozbieżnego. Część absolwentów programu wybiera kierunki kreatywne jako naturalną kontynuację procesu edukacji. Elementy treningu twórczości można wykorzystać...

  • Akcelerator transformacji DCT do kompresji obrazu w sensorach wizyjnych

    W komunikacie przedstawiono konfigurowalny cyfrowy akcelerator transformacji DCT przeznaczony dla enkodera wideo standardu H.264. Akcelerator realizuje także odwrotnątransformacjęDCT oraz kwantyzacjęi dekwantyzację. Akcelerator początkowo zaimplementowano w układzie FPGA. Zostałon pomyślnie zweryfikowany, a następnie zaimplementowany w układzie ASIC w technologii UMC 90 nm. Szczegółowe wyniki testów akceleratora ASIC zostały...

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  • Immersive Technologies that Aid Additive Manufacturing Processes in CBRN Defence Industry

    Publication
    • M. Gawlik-Kobylińska
    • P. Maciejewski
    • J. Lebiedź
    • A. Kravcov

    - International Journal on Information Technologies and Security - Year 2021

    Testing unique devices or their counterparts for CBRN (C-chemical, B-biological, R-radiological, N-nuclear) defense relies on additive manufacturing processes. Immersive technologies aid additive manufacturing. Their use not only helps understand the manufacturing processes, but also improves the design and quality of the products. This article aims to propose an approach to testing CBRN reconnaissance hand-held products developed...

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  • Paweł Rościszewski dr inż.

    People

    Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

  • Time travel without paradoxes: Ring resonator as a universal paradigm for looped quantum evolutions

    Publication

    A ring resonator involves a scattering process where a part of the output is fed again into the input. The same formal structure is encountered in the problem of time travel in a neighborhood of a closed timelike curve (CTC). We know how to describe quantum optics of ring resonators, and the resulting description agrees with experiment. We can apply the same formal strategy to any looped quantum evolution, in particular to the...

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  • Physics augmented classification of fNIRS signals

    Publication
    • F. Orihuela-Espina
    • M. Rojas-Cisneros
    • S. A. Montero-Hernández
    • J. S. Garcia Salinas
    • B. Cuervo-Soto
    • J. Herrera-Vega

    - Year 2022

    Background. Predictive classification favours performance over semantics. In traditional predictive classification pipelines, feature engineering is often oblivious to the underlying phenomena. Hypothesis. In applied domains such as functional Near Infrared Spectroscopy (fNIRS), the exploitation of physical knowledge may improve the discriminative quality of our observation set. Aims. Give exemplary evidence that intervening the...

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  • Leszek Ziemczonek dr

    People

    University education 1973-1978 – Nicolaus Copernicus University in Toruń, University of Gdańsk in Gdańsk, Mathematical Physics, M. Sc. 1979 – Diploma of Postgraduate Studies, Pedagogics 1989 – Institute of Physics, Polish Academy of Sciences in Warsaw, Theoretical Physics, Ph. D. 2010-2012 – Diploma of Postgraduate Studies, Mathematics Training: ·         09.1983 – Trieste (Italy) – International Centre for Theoretical Physics...

  • Towards bees detection on images: study of different color models for neural networks

    Publication

    This paper presents an approach to bee detection in videostreams using a neural network classifier. We describe the motivationfor our research and the methodology of data acquisition. The maincontribution to this work is a comparison of different color models usedas an input format for a feedforward convolutional architecture appliedto bee detection. The detection process has is based on a neural...

  • Automated detection of pronunciation errors in non-native English speech employing deep learning

    Publication

    - Year 2023

    Despite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...

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  • Zastosowanie metody studium przypadku w kształceniu menedżerów

    Publication

    Kształcenie z wykorzystaniem metod rozwiązywania problemów (problem-based learning) staje się coraz bardziej popularne na wszystkich poziomach kształcenia, również w edukacji biznesowej. Przykładem takiej metody jest studium przypadku (case study). Metoda studium przypadku pozwala na rozwijanie umiejętności i kompetencji wykorzystywanych przez menedżerów w ich pracy, np. umiejętności syntezy, identyfikacji problemów, czy podejmowania...

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  • Computer-assisted assessment of learning outcomes in the laboratory of metrology

    Publication

    - Year 2015

    In the paper, didactic experience with broad and rapid continuous assessment of students’ knowledge, skills and competencies in the Laboratory of Metrology, which is an example of utilisation of assessment for learning, is presented. A learning management system was designed for manage, tracking, reporting of learning program and assessing learning outcomes. It has ability to provide with immediate feedback, which is used by the...

  • PROJEKTOWANIE STANOWISK LABORATORYJNYCH WSPIERAJĄCYCH PROCES SZKOLENIA PRAKTYCZNEGO KADR MORSKICH DZIAŁU MASZYNOWEGO W ŻEGLUDZE MIĘDZYNARODOWEJ, PRZYBRZEŻNEJ I KRAJOWEJ

    Within the article a design offer of the Department of Ship and Power Plants of the Faculty of Ocean Engineering And Ship Technology at the Gdansk University of Technology has been presented. The offer concerns designing laboratory stations which might stand for the equipment of a didactic base of maritime educational centers i.e. maritime (naval) academies and schools as well as maritime affairs' professional training centers,...

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  • Generalization of Phylogenetic Matching Metrics with Experimental Tests of Practical Advantages

    Publication

    - JOURNAL OF COMPUTATIONAL BIOLOGY - Year 2023

    The ability to quantify a dissimilarity of different phylogenetic trees is required in various types of phylogenetic studies, for example, such metrics are used to assess the quality of phylogeny construction methods and to define optimization criteria in supertree building algorithms. In this article, starting from the already described concept of matching metrics, we define three new metrics for rooted phylogenetic trees. One...

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  • Strategie treningu neuronowego estymatora częstotliwości tonu krtaniowego z użyciem generatora syntetycznych samogłosek

    W wielu zastosowaniach telekomunikacyjnych pojawia się problem przetwarzania lub analizy sygnału mowy, w ramach którego, często w obszarze podstawowych algorytmów, stosuje się estymator częstotliwości tonu krtaniowego. Estymator rozpatrywany w tej pracy bazuje na neuronowym klasyfikatorze podejmującym decyzje na podstawie częstotliwości oraz mocy chwilowej wyznaczanych w podpasmach analizowanego sygnału mowy. W pracy rozważamy...

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  • Elements of six sigma methodoloygy in polish smes. the pomeranian region context

    Publication

    - Year 2012

    In this article, it has been suggested that the effectiveness of the design and implementation of the process approach in the SMEs sector affects the effectiveness and efficiency of the application of elements of the Six Sigma ™ concept. The selected results of the research have been presented to answer the question to what extent small and medium-sized manufacturing, service and production - service companies in Pomeranian region...

  • Performance of FAN conception of traffic control in IP QoS networks

    Publication

    - Year 2008

    In this paper we present the architectural implementation of Flow Aware Networking (FAN), a new approach for realizing QoS guarantees in the Internet. We also propose FAN traffic control algorithm which performs traffic control on flow level. Using the proposed FAN node model, we conduct simulation research to prove if FAN can be a new approach for realizing QoS guarantees. The basis of this research is finding a way to guarantee...

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  • Euro 2012 economic impact on host cities in Poland

    Publication

    - Year 2013

    The UEFA European Championship (Euro) is among the world's most important sporting events staged nowadays. Apart from tremendous excitement among football fans, such a major event has a number of other implications, above all of economic nature. This study, as one of the few concerned with the Polish circumstances, is intended to determine what significance should be attributed to stage the Euro 2012 in Polish host cities. aware...

  • INFLUENCE OF DATA NORMALIZATION ON THE EFFECTIVENESS OF NEURAL NETWORKS APPLIED TO CLASSIFICATION OF PAVEMENT CONDITIONS – CASE STUDY

    In recent years automatic classification employing machine learning seems to be in high demand for tele-informatic-based solutions. An example of such solutions are intelligent transportation systems (ITS), in which various factors are taken into account. The subject of the study presented is the impact of data pre-processing and normalization on the accuracy and training effectiveness of artificial neural networks in the case...

  • Assessment of Therapeutic Progress After Acquired Brain Injury Employing Electroencephalography and Autoencoder Neural Networks

    Publication

    A method developed for parametrization of EEG signals gathered from participants with acquired brain injuries is shown. Signals were recorded during therapeutic session consisting of a series of computer assisted exercises. Data acquisition was performed in a neurorehabilitation center located in Poland. The presented method may be used for comparing the performance of subjects with acquired brain injuries (ABI) who are involved...

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  • Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

    Publication

    - Year 2021

    This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...

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  • Justyna Signerska-Rynkowska dr inż.

    I am currently an assistant professor (adjunct) at Gdansk University of Technology (Department of Differential Equations and Mathematics Applications). My scientific interests include dynamical systems theory, chaos theory and their applications to modeling of biological phenomena, especially to neurosciences. In June 2013 I completed PhD in Mathematics at the Institute of Mathematics of Polish Academy of Sciences (IMPAN) (thesis...

  • Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning

    Publication
    • F. Szatkowski
    • M. Pyła
    • M. Przewięźlikowski
    • S. Cygert
    • B. Twardowski
    • T. Trzciński

    - Year 2024

    In this work, we investigate exemplar-free class incremental learning (CIL) with knowledge distillation (KD) as a regularization strategy, aiming to prevent forgetting. KDbased methods are successfully used in CIL, but they often struggle to regularize the model without access to exemplars of the training data from previous tasks. Our analysis reveals that this issue originates from substantial representation shifts in the teacher...

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  • Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech

    Publication
    • D. Piotrowski
    • R. Korzeniowski
    • A. Falai
    • S. Cygert
    • K. Pokora
    • G. Tinchev
    • Z. Zhang
    • K. Yanagisawa

    - Year 2023

    In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To-Speech (TTS) model. The proposed framework consists of 4 stages. In the first two stages, we use a VC model to convert utterances in the target locale to the voice of the target speaker. In the third stage, the converted data is combined with the linguistic features and durations...

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  • Federated Learning in Healthcare Industry: Mammography Case Study

    The paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...

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  • Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

    Publication
    • A. G. Pereira
    • A. Ojo
    • C. Edward
    • L. Porwol

    - Year 2020

    There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...

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  • On Guard for Lighting Quality. The establishment of the first association of professional lighting designers

    Not many people in the lighting community are aware of the fact, that after electricity was invented and in general use in the United States from the late nineteenth century, only electrical engineers were responsible for the illumination of architecture. After 1906, when the Illuminating Engineering Society of North America (IESNA) was established in the USA, companies and individuals professionally involved in the field of gas...

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  • Improving Re-rankCCP with Rules Quality Measures

    Publication

    - Year 2022

    Recommender Systems are software tools and techniques which aim at suggesting new items that may possibly be of interest to a user. Context-Aware Recommender Systems exploit contextual information to provide more adequate recommendations. In this paper we described a modification of an existing contextual post-filtering algorithm which uses rules-like user representation called Contextual Conditional Preferences. We extended the...

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  • Start_V.AR Opracowanie i ewaluacja spójnego zestawu narządzi do innowacyjnego szkolenia pracowników za pomocą rzeczywistości wirtualnej i rozszerzonej

    Projects

    Project manager: prof. dr hab. inż. Marcin Sikorski   Financial Program Name: International Cooperation in Education and Research

    Project realized in Faculty of Management and Economics according to 01DS18034 agreement

  • Muneer Ahmed Mr

    People

    Looking for an organization where I can better utilize my scientific and technical skills in the arena of research or work as a faculty person. Besides, I am also willing to work as professional engineer with dedication and diligence in dynamic environment. Likewise, I've been a committed and tenacious candidate throughout my career. I am aware of the level of commitment, dedication and strength required. Despite the fact that...

  • Horizon Europe proposals - Administrative Part

    The dataset contains data collected during the HE National Contact Point training on Oct. 12, 2022, reg. the administrative part of Horizon Europe grant proposals. The data set includes presentations concerning  administrative forms of 2022 proposals and their content, including participant data; information about abstract writing, keyword choice and...

  • Playback detection using machine learning with spectrogram features approach

    Publication

    - Year 2017

    This 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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  • Multiobjective Aerodynamic Optimization by Variable-Fidelity Models and Response Surface Surrogates

    Publication

    - AIAA JOURNAL - Year 2016

    A computationally efficient procedure for multiobjective design optimization with variable-fidelity models and response surface surrogates is presented. The proposed approach uses the multiobjective evolutionary algorithm that works with a fast surrogate model, obtained with kriging interpolation of the low-fidelity model data enhanced by space-mapping correction exploiting a few high-fidelity training points. The initial Pareto...

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  • MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences

    Publication
    • S. R. Gupte
    • D. S. Jain
    • A. Srinivasan
    • R. Aduri

    - Year 2020

    —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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  • Automated Classifier Development Process for Recognizing Book Pages from Video Frames

    One of the latest developments made by publishing companies is introducing mixed and augmented reality to their printed media (e.g. to produce augmented books). An important computer vision problem that they are facing is classification of book pages from video frames. The problem is non-trivial, especially considering that typical training data is limited to only one digital original per book page, while the trained classifier...

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  • Lean Startup as a New Way of Managing Technology Ventures Illustrated by the Example of Wlcome App

    Publication

    The dot-com bubble in the 1990s made the technology industry aware that even excellent ideas backed by amazing teams are not sufficient to ensure a startup’s success. The biggest risk of startups is that they have to operate within many uncertainties, their market and customers are unknown, and their business model is not yet validated. Therefore, successful execution of such a venture requires a rigorous process that would validate...

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  • Resilience of 5G Mobile Communication Systems to Massive Disruptions

    Publication

    - Year 2020

    This chapter discusses vital techniques to enhance the resilience of 5G systems. It starts with dependability assessment of 5G networks. Next, it describes (a) the frequency fallback technique to improve availability and survivability of 5G services, (b) segment interleaving scheme to enhance communications resilience between base stations and the remaining part of the network and (c) multi-operator protection to address the resilience...

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  • Gdańsk University of Technology graduates’ forms of raising qualifications – years 2017-2018

    Open Research Data
    open access

    The dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2017-2018 on the forms of raising their qualifications. The survey was conducted in the period from 2019 to 2020, two years after the respondents obtained graduate status. The research sample included 2909 respondents. To summarize, the most common...

  • Gdańsk University of Technology graduates’ forms of raising qualifications – years 2011-2016

    Open Research Data
    open access

    The dataset includes data from the survey on the Gdańsk University of Technology graduates' from the years 2011-2016 on the forms of raising their qualifications. The survey was conducted in the period from 2013 to 2018, two years after the respondents obtained graduate status. The research sample included 9525 respondents. To summarize, the most common...

  • Video of LEGO Bricks on Conveyor Belt Dataset Series

    Publication

    - Year 2022

    The dataset series titled Video of LEGO bricks on conveyor belt is composed of 14 datasets containing video recordings of a moving white conveyor belt. The recordings were created using a smartphone camera in Full HD resolution. The dataset allows for the preparation of data for neural network training, and building of a LEGO sorting machine that can help builders to organise their collections.

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  • Two-spinors, oscillator algebras, and qubits: aspects of manifestly covariant approach to relativistic quantum information

    Publication

    The first part of the paper reviews applications of 2-spinor methods to relativistic qubits (analogies between tetrads in Minkowski space and 2-qubit states, qubits defined by means of null directions and their role for elimination of the Peres-Scudo-Terno phenomenon, advantages and disadvantages of relativistic polarization operators defined by the Pauli-Lubanski vector, manifestly covariant approach to unitary representations...

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  • COLLABORATIVE LEARNING ENVIRONMENT FOR ENGINEERING EDUCATION (COLED)

    Publication

    - Year 2020

    Collaborative Learning Environment for Engineering Education is a European project implemented under the Erasmus + program, The main goal of 5 partners from 4 different European countries – Bulgaria, Poland, Portugal and Romania is to develop an innovative collaborative training approach, encompassing curricula related to the introduction of enterprise automation. Project activities are carried out in the period from Dctober 2018...

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  • The instantaneous flicker sensation level measured in the industrial power system supplying the rolling mill motors

    The dataset presents the instantaneous flicker sensation level measured on the bus bars of the main switchgear of the industrial power network for the supply of rolling mills. The data were obtained during an experiment whose purpose was to determine a level of short-term and long-term flicker caused by voltage fluctuations. In the virtual application...

  • Discrimination of workers aged 55+ in companies in Poland

    Publication

    The problem of discrimination on the grounds of age in the workplace is particularly topical not only in Poland but also in Europe as a whole. The paper presents the essence of the discrimination and its most common manifestations. The results of own research on the youngPoles' perception of the discrimination on grounds of age in the workplace, intergenerational competition in the labour market and some of the factors shaping...

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  • Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition

    Publication

    In this paper KinectRecorder comprehensive tool is described which provides for convenient and fast acquisition, indexing and storing of RGB-D video streams from Microsoft Kinect sensor. The application is especially useful as a supporting tool for creation of fully indexed databases of facial expressions and emotions that can be further used for learning and testing of emotion recognition algorithms for affect-aware applications....

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  • AITP - AI Thermal Pedestrians Dataset

    Open Research Data
    open access
    • A. Górska
    • P. Guzal
    • I. Namiotko
    • A. Wędołowska
    • M. Włoszczyńska
    • J. Rumiński

    AITP is a pedestrian detection dataset consisting of 9178 annotated thermal images. The training set contains 7801 images on which15448 pedestrians were labeled.  The test set has 1377 images on which 2731 objects were marked. All images are in PNG file format (120x160) captured with FLIR Lepton Thermal Camera on the streets of Gdańsk, Poland. All pedestrians...

  • Problemy w szkoleniu i egzaminowaniu rowerzystów w Polsce

    Artykuł przedstawia diagnozę problemów, które wpływają na jakość poziomu szkolenia i egzaminowania rowerzystów w Polsce. W pierwszej części zaprezentowano statystyki dotyczące wypadków z udziałem rowerzystów w Polsce, mających miejsce na przestrzeni ostatnich lat. Kolejno opisano obowiązujący system szkolenia oraz egzaminowania rowerzystów, a także nauczycieli i instruktorów. Dodatkowo ukazano przykłady dobrej praktyki, które stosują...

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  • What defines excellent lighting design for humans and animals?

    Publication
    • K. M. Zielińska

    - Year 2009

    What defines excellent lighting design for humans and animals? The answer to the above question is more than com­plex. It is not enough nowadays to design a project to make it aesthetically pleasing. Nor is it sufficient to create nicely lit environments, or simply to achieve the light levels required by the lighting norms or stan­dards. With the new scientific research of the last few de­cades that relates directly or indirectly...

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  • Ellipticity in couple-stress elasticity

    We discuss ellipticity property within the linear couple-stress elasticity. In this theory, there exists a deformation energy density introduced as a function of strains and gradient of macrorotations, where the latter are expressed through displacements. So the couple-stress theory could be treated as a particular class of strain gradient elasticity. Within the micropolar elasticity, the model is called Cosserat pseudocontinuum...

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