Filters
total: 931
filtered: 725
Search results for: RECO
-
Daylight Appraisal Classes For Achitecture Students A Survey Combined With A Practical Assessment For Educational Training Recommendations
PublicationThe 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...
-
Chimeric Dr fimbriae with a Herpes Simplex virus type 1 epitope as a model for a recombinant vaccine.
PublicationBiałko adhezyny DraE uropatogennych szczepów E. coli Dr+ zostało wykorzystane jako nośnik 11a a determinanty antygenowej glikoproteiny D wirusa HSV ty-pu 1. Sekwencja kodująca epitop HSV została wklonowana do genu draE w obrębie regionu N- terminalnego eksponowanej powierzchniowo domeny 2. Ekspresjachimerycznych białek DraE-HSV została potwierdzona za pomocą mikroskopii immunofluorescencyjnej i elektronowej.
-
Efficient production of the Toxoplasma gondii GRA6, p35 and SAG2 recombinant antigens and their applications in the serodiagnosis of toxoplasmosis
PublicationSkonstruowano system ekspresji rekombinantowych białek antygenowych GRA6, p35 i SAG2 Toxoplasma gondii. Uzyskano miligramowe ilości białek fuzyjnych po zastosowaniu jednoetapowego oczyszczania z wykorzystaniem metody chromatografii metalopowinowactwa. Przydatność otrzymanych antygenów do konstrukcji serologicznego testu diagnostycznego oszacowano z wykorzystaniem testu ELISA, w którym zastosowano 99 surowic pobranych od pacjentów...
-
Dziedzictwo lokalne w kontekście programu Reconnecting With Your Culture Poland / UNESCO, prelekcje w ramach Pomorskiej Nocy Naukowców, prelekcje: "Rola dziedzictwa lokalnego" (AK), "Dzieci a rozumienie dziedzictwa: (PDŻ)
PublicationTematem prelekcji było lokalne dziedzictwo kulturowe oraz postawy obywatelskie, ponieważ tylko poznanie i pogłębienie dziedzictwa kulturowego pozwala docenić teraźniejszość i dobrze budować przyszłość.
-
Active dynamic thermography method for TRAM flap blood perfusion mapping in breast reconstruction
PublicationThis paper presents the new method of the transverse rectus abdominis musculocutaneous flap blood perfusion mapping based on the active dynamic thermography. The method is aimed at aiding a surgeon during breast reconstruction procedure. A pair of dTnorm and t90_10 parameters were used as parametric image descriptors of the flap blood perfusion. The method was tested on 38 patients that were subjected to breast reconstruction procedure....
-
Reconstruction of Ancient Lake after Peat Excavation—A Case Study about Water Quality
Publication -
Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering
Publication -
3D seafloor reconstruction using data from side scan and synthetic aperture sonar
PublicationSide scan and synthetic aperture sonars are widely used imaging systems in the underwater environment. They are relatively cheap and easy to deploy, in comparison with more powerful sensors, like multibeam echosounders. Although side scan and synthetic aperture sonars does not provide seafloor bathymetry directly, their records are finally related to seafloor images. Moreover, the analysis of such images performed by human eye...
-
Post‐Second World War Reconstruction of Polish Cities: The Interplay Between Politics and Paradigms
PublicationBy the end of the Second World War, many of the Polish cities—and especially their historic centres—were in ruins. This was caused by both bombings and sieges conducted by the Nazis and Soviets. The particular group of cities is associated with former German lands—now called the “Recovered Territories”—which were incorporated into the borders of Poland as compensation for its Eastern Borderlands lost to the Soviet Union. These...
-
Music Recommendation Based on Multidimensional Description and Similarity Measures . Rekomendacja muzyki na podstawie wielowymiarowego wektora cech i miar podobieństwa
PublicationThis study aims to create an algorithm for assessing the degree to which songs belong to genres defined a priori. Such an algorithm is not aimed at providing unambiguous classification-labelling of songs, but at producing a multidimensional description encompassing all of the defined genres. The algorithm utilized data derived from the most relevant examples belonging to a particular genre of music. For this condition to be met,...
-
On practical application of Shannon theory to character recognition and more
PublicationLet us consider an optical character recognition system, which in particular can be used for identifying objects that were assigned strings of some length. The system is not perfect, for example, it sometimes recognizes wrongly the characters "Y" and "V". What is the largest set of strings of given length for the system under consideration, which can be mutually correctly recognized, and the corresponding objects correctly identified?...
-
Examining Influence of Distance to Microphone on Accuracy of Speech Recognition
PublicationThe problem of controlling a machine by the distant-talking speaker without a necessity of handheld or body-worn equipment usage is considered. A laboratory setup is introduced for examination of performance of the developed automatic speech recognition system fed by direct and by distant speech acquired by microphones placed at three different distances from the speaker (0.5 m to 1.5 m). For feature extraction from the voice signal...
-
Music Genre Recognition in the Rough Set-Based Environment
PublicationThe aim of this paper is to investigate music genre recognition in the rough set-based environment. Experiments involve a parameterized music data-base containing 1100 music excerpts. The database is divided into 11 classes cor-responding to music genres. Tests are conducted using the Rough Set Exploration System (RSES), a toolset for analyzing data with the use of methods based on the rough set theory. Classification effectiveness...
-
Multidimensional Scaling Analysis Applied to Music Mood Recognition
PublicationThe paper presents two experiments aimed at categorizing mood associated with music. Two parts of a listening test were designed and carried out with a group of students, most of whom where users of online social music services. The initial experiment was designed to evaluate the extent to which a given label describes the mood of the particular music excerpt. The second subjective test was conducted to collect the similarity data...
-
Automatic recognition of therapy progress among children with autism
PublicationThe article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the basis of behavioural data gathered via five specially designed tablet games. Over 180 distinct parameters are calculated on the basis of raw data delivered via the game flow and tablet sensors - i.e. touch screen, accelerometer and gyroscope. The results obtained confirm the possibility...
-
An audio-visual corpus for multimodal automatic speech recognition
Publicationreview of available audio-visual speech corpora and a description of a new multimodal corpus of English speech recordings is provided. The new corpus containing 31 hours of recordings was created specifically to assist audio-visual speech recognition systems (AVSR) development. The database related to the corpus includes high-resolution, high-framerate stereoscopic video streams from RGB cameras, depth imaging stream utilizing Time-of-Flight...
-
Molecular Recognition in Complexes of TRF Proteins with Telomeric DNA
PublicationTelomeres are specialized nucleoprotein assemblies that protect the ends of linear chromosomes. In humans and many other species, telomeres consist of tandem TTAGGG repeats bound by a protein complex known as shelterin that remodels telomeric DNA into a protective loop structure and regulates telomere homeostasis. Shelterin recognizes telomeric repeats through its two major components known as Telomere Repeat-Binding Factors, TRF1...
-
Recognition of input items to the logistic operations in accommodation services
PublicationIn this study the authors set themselves the aim to analyze the elements of the entrance to the accommodation services in terms of logistics. Therefore, providers of this type of services were examined. This allowed to carry out analyses also with including the variety of accommodation services
-
A comparative study of English viseme recognition methods and algorithms
PublicationAn elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector construction...
-
Digits Recognition with Quadrant Photodiode and Convolutional Neural Network
PublicationIn this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...
-
Visual Lip Contour Detection for the Purpose of Speech Recognition
PublicationA method for visual detection of lip contours in frontal recordings of speakers is described and evaluated. The purpose of the method is to facilitate speech recognition with visual features extracted from a mouth region. Different Active Appearance Models are employed for finding lips in video frames and for lip shape and texture statistical description. Search initialization procedure is proposed and error measure values are...
-
Multiclass AdaBoost Classifier Parameter Adaptation for Pattern Recognition
PublicationThe article presents the problem of parameter value selection of the multiclass ``one against all'' approach of an AdaBoost algorithm in tasks of object recognition based on two-dimensional graphical images. AdaBoost classifier with Haar features is still used in mobile devices due to the processing speed in contrast to other methods like deep learning or SVM but its main drawback is the need to assembly the results of binary...
-
Buzz-based recognition of the honeybee colony circadian rhythm
Publication -
Recognition Dynamics of Cancer Mutations on the ERp57-Tapasin Interface
Publication -
Gait Recognition: A Challenging Task for MEMS Signal Identification
Publication -
Mutual recognition of certification systems: The case of SERMO and ACLES
Publication -
Towards Recognition of Spatial Relations between Entities for Polish
Publication -
Evaluation of Knowledge-Based Recognition of Spatial Expressions for Polish
Publication -
Camera angle invariant shape recognition in surveillance systems
PublicationA method for human action recognition in surveillance systems is described. Problems within this task are discussed and a solution based on 3D object models is proposed. The idea is shown and some of its limitations are talked over. Shape description methods are introduced along with their main features. Utilized parameterization algorithm is presented. Classification problem, restricted to bi-nary cases is discussed. Support vector...
-
Gesture recognition framework for multimedia content viewer controlling
PublicationIn the paper a system for controlling a multimedia content viewer by hand gestures is presented. First, selected methods used for gesture recognition are described. Two different application cases of the system, i.e. for multimedia presentation purposes and for multimedia content viewing are outlined. Moreover, a proposal of improvement of the system combining these approaches is also given. The system work cycle is reviewed. The...
-
Voice command recognition using hybrid genetic algorithm
PublicationAbstract: Speech recognition is a process of converting the acoustic signal into a set of words, whereas voice command recognition consists in the correct identification of voice commands, usually single words. Voice command recognition systems are widely used in the military, control systems, electronic devices, such as cellular phones, or by people with disabilities (e.g., for controlling a wheelchair or operating a computer...
-
Camera-based Automatic System for Tool Measurements and Recognition
Publication -
Machine learning applied to bi-heterocyclic drugs recognition
Publication -
Automatic Image and Speech Recognition Based on Neural Network
Publication -
Audiovisual speech recognition for training hearing impaired patients
PublicationPraca przedstawia system rozpoznawania izolowanych głosek mowy wykorzystujący dane wizualne i akustyczne. Modele Active Shape Models zostały wykorzystane do wyznaczania parametrów wizualnych na podstawie analizy kształtu i ruchu ust w nagraniach wideo. Parametry akustyczne bazują na współczynnikach melcepstralnych. Sieć neuronowa została użyta do rozpoznawania wymawianych głosek na podstawie wektora cech zawierającego oba typy...
-
Parameters optimization in medicine supporting image recognition algorithms
PublicationIn this paper, a procedure of automatic set up of image recognition algorithms' parameters is proposed, for the purpose of reducing the time needed for algorithms' development. The procedure is presented on two medicine supporting algorithms, performing bleeding detection in endoscopic images. Since the algorithms contain multiple parameters which must be specified, empirical testing is usually required to optimise the algorithm's...
-
A Framework for Training and Testing of Complex Pattern Recognition Systems
PublicationW pracy przedstawiono szkielet aplikacji stworzony po to, by uprościć konstruowanie systemów rozpoznawania obrazów oraz zapewnić środowisko testowe umożliwiające ocenę algorytmów przy użyciu dużych zestawów danych. Jasno zdefiniowana architektura wraz z wieloma gotowymi do użycia modułami pozwala skoncentrować się na implementacji najważniejszych algorytmów. Szkielet wspiera tworzenie modułów, który mogą być wielokrotnie używane,...
-
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...
-
Comparison of edge detection algorithms for electric wire recognition
PublicationEdge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line...
-
Graph Representation Integrating Signals for Emotion Recognition and Analysis
PublicationData reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images. Moreover, conducting experiments with a vast number of participants to build datasets for Affective Computing research is time-consuming and expensive. Therefore, it is extremely important to...
-
Mining inconsistent emotion recognition results with the multidimensional model
PublicationThe paper deals with the challenge of inconsistency in multichannel emotion recognition. The focus of the paper is to explore factors that might influence the inconsistency. The paper reports an experiment that used multi-camera facial expression analysis with multiple recognition systems. The data were analyzed using a multidimensional approach and data mining techniques. The study allowed us to explore camera location, occlusions...
-
Buzz-based recognition of the honeybee colony circadian rhythm
PublicationHoneybees are one of the highly valued pollinators. Their work as individuals is appreciated for crops pollination and honey production. It is believed that work of an entire bee colony is intense and almost continuous. The goal of the work presented in this paper is identification of bees circadian rhythm with a use of sound-based analysis. In our research as a source of information on bee colony we use their buzz that have been...
-
Bimodal Emotion Recognition Based on Vocal and Facial Features
PublicationEmotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...
-
A comparative study of English viseme recognition methods and algorithm
PublicationAn elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector...
-
Scoreboard Architectural Pattern and Integration of Emotion Recognition Results
PublicationThis paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under...
-
Versatile pattern recognition system based on Fisher criterion
PublicationZaprezentowano system rozpoznawania obrazów w postaci bitmap. Zaimplementowany algorytm ekstrakcji cech jest uniwersalny i może być używany do różnych obrazów. Cały system bazuje na kryterium Fishera.
-
Automatic recognition of the arterial input function in MRI studies
PublicationArtykuł prezentuje opis automatycznej metody detekcji tętniczej funkcji wejście (AIF). Metoda została porównana z klinicznie pomierzonymi seriami obrazów DSC-MRI.
-
Rozpoznawanie uszkodzeń w części przepływowej okrętowego turbinowego silnika spalinowego na podstawie wyników badania endoskopowego = Failures' recognising within the passages of a marine gas turbine engine on the basis of results of endoscopic investigation
PublicationThe paper deals with diagnostic issues concerning endoscopic examinations of marine gas turbine engines. There will be presented selected information about failures within the passages and accessible endoscopic methods and means enabling their detection. The author focuses on the endoscopic techniques and widely presents the possibilities of this quickly developed diagnostic method. There will be also presented representative results...
-
Heart Rate Asymmetry, Its Compensation, and Heart Rate Variability in Healthy Adults during 48-h Holter ECG Recordings
Publication -
Low and high energy explosive materials used in shale gas recovery
PublicationNowadays the explosives are widely used in many areas of life, including industry and mining. A wide range of explosive materials is used in the petroleum industry - from low to high explosives. Recently, as the unconventional oil and gas production became possible, explosives are also found to be used in perforators during the pre-completion stage of the fracturing process. This paper presents literature on theoretical and practical...