Wyniki wyszukiwania dla: AUTOMATIC SPEECH RECOGNITION, WHISPER, MEDICAL LANGUAGE RECOGNITION, SPEECH PROCESSING - MOST Wiedzy

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Wyniki wyszukiwania dla: AUTOMATIC SPEECH RECOGNITION, WHISPER, MEDICAL LANGUAGE RECOGNITION, SPEECH PROCESSING

Wyniki wyszukiwania dla: AUTOMATIC SPEECH RECOGNITION, WHISPER, MEDICAL LANGUAGE RECOGNITION, SPEECH PROCESSING

  • Detecting Apples in the Wild: Potential for Harvest Quantity Estimation

    Publikacja
    • A. Janowski
    • R. Kaźmierczak
    • C. Kowalczyk
    • J. Szulwic

    - Sustainability - Rok 2021

    Knowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...

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  • An electronic nose based on the semiconducting and electrochemical gas sensors

    The practical application of human nose for fragrance recognition is severely limited by the fact that our sense of smell is subjective and gets tired easily. Consequently, there is a significant need for an instrument that can be a substitution of the human sense of smell. Development of an electronic nose devices is an active area of research starting from pioneering research of Dodd and Persuad in the mid-1980s. Such systems...

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  • Selection of an artificial pre-training neural network for the classification of inland vessels based on their images

    Publikacja

    - Zeszyty Naukowe Akademii Morskiej w Szczecinie - Rok 2021

    Artificial 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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  • Identification of regions of interest in video for a traffic monitoring system

    Publikacja

    - Rok 2008

    A system for automatic event detection in the camera image is presented in this paper. A method of limiting a region of interest to relevant parts of the image using a set of processing procedures is proposed. Image processing includes object detection with shadow removal performed in the modified YCbCr color space instead of RGB. The proposed procedures help to reduce the complexity of image processing algorithm and result in...

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  • Molecular Targets for Anticandidal Chemotherapy

    Publikacja

    - Rok 2017

    A relatively small number of anticandidal chemotherapeutics used in clinical practice is at least in part consequence of a limited number of their molecular targets: ergosterol in the membrane, lanosterol demethylase, b(1!3) glucan synthase, and DNA/RNA biosynthesis. Much more potential novel targets have been revealed by the comparative genomic studies identifying essential genes unique for Candida albicans or resulted from recognition...

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  • Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation

    Publikacja

    - Rok 2018

    This work is part of an effort for the development of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. This paper focuses on hazards resulted from the non-use of personal protective equipment (PPE), and examines a few supervised learning techniques to compose the proposed system for the purpose of recognition of three protective...

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  • Tomasz Maria Boiński dr inż.

    Z uczelnią jestem związany już od 2000r kiedy to rozpocząłem studia na kierunku Informatyka wydziału Elektroniki, Telekomunikacji i Informatyki. Po ich ukończeniu z wyróżnieniem, w 2005 roku rozpocząłem studia doktoranckie. W trakcie studiów i bezpośrednio po ich zakończeniu zaangażowany byłem, we współpracy z firmą Hogart z Warszawy, we wdrażanie rozwiązań biznesowych w gdyńskiej firmie Elektronia S.A. (Infor FMS SunSystems) oraz...

  • Jan Cudzik dr inż. arch.

    Jan Cudzik (dr inż. arch.) jest adiunktem w Katedrze Architektury Miejskiej i Przestrzeni Nadwodnych na Wydziale Architektury Politechniki Gdańskiej oraz kierownikiem Laboratorium Cyfrowych Technologii i Materiałów Przyszłości. Prowadzi badania nad architekturą kinetyczną, technikami cyfrowymi w projektowaniu architektonicznym, fabrykacją cyfrową oraz formami sztucznej inteligencji w architekturze i sztuce. Jego badania nad automatyzacją...

  • Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical Synchrosqueezing

    Publikacja

    - IEEE SIGNAL PROCESSING LETTERS - Rok 2017

    This letter introduces new chirp rate and instantaneous frequency estimators designed for frequency-modulated signals. These estimators are first investigated from a deterministic point of view, then compared together in terms of statistical efficiency. They are also used to design new recursive versions of the vertically synchrosqueezed short-time Fourier transform, using a previously published method (D. Fourer, F. Auger, and...

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  • Distributed Representations Based on Geometric Algebra: the Continuous Model

    Publikacja

    - Informatica - Rok 2011

    Authors revise the concept of a distributed representation of data as well as two previously developed models: Holographic Reduced Representation (HRR) and Binary Spatter Codes (BSC). A Geometric Analogue (GAc - ''c'' stands for continuous as opposed to its discrete version) of HRR is introduced - it employs role-filler binding based on geometric products. Atomic objects are real-valued vectors in n-dimensional Euclidean space...

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  • Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

    Publikacja

    - Information - Rok 2018

    The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...

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  • Validating data acquired with experimental multimodal biometric system installed in bank branches

    An experimental system was engineered and implemented in 100 copies inside a real banking environment comprising: dynamic handwritten signature verification, face recognition, bank client voice recognition and hand vein distribution verification. The main purpose of the presented research was to analyze questionnaire responses reflecting user opinions on: comfort, ergonomics, intuitiveness and other aspects of the biometric enrollment...

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  • A novel in vivo approach to assess strains of the human abdominal wall under known intraabdominal pressure

    The study concerns mechanical behaviour of a living human abdominal wall. A better mechanical understanding of a human abdominal wall and recognition of its material properties is required to find mechanically compatible surgical meshes to significantly improve the treatment of ventral hernias. A non-invasive methodology, based on in vivo optical measurements is proposed to determine strains of abdominal wall corresponding to...

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  • Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals

    Publikacja

    A method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...

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  • Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment

    Publikacja
    • E. Sanchez
    • W. Peng
    • C. Toro
    • C. Sanin
    • M. Grana
    • E. Szczerbicki
    • E. Carrasco
    • F. Guijarro
    • L. Brualla

    - NEUROCOMPUTING - Rok 2014

    Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence...

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  • Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends

    Publikacja

    - Information Fusion - Rok 2022

    Semantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...

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  • Akustyczna analiza natężenia ruchu drogowego dla systemów zarządzania ruchem

    Publikacja

    - Rok 2019

    W pracy przybliżono wybrane zagadnienia z dziedziny zarządzania transportem drogowym w Polsce i na świecie. W tym kontekście pzredstawiono potrzeby rynkowe, wymagania jak i możliwości w zakresie pozyskiwania informacji o aktualnym stanie sieci drogowych. Zaproponowano akustyczną metodę nadzorowania ruchu drogowego i jej możliwości w kontekście systemów zarządzania ruchem. Przedstawiono schemat akwizycji sygnału wraz z danymi odniesienia....

  • Julita Wasilczuk dr hab.

    Urodzona 5 kwietnia 1965 roku w Gdańsku. W latach 1987–1991 odbyła studia na Wydziale Ekonomiki Transportu Uniwersytetu Gdańskiego (obecnie Wydział Ekonomii). Od 1993 roku zatrudniona na nowo utworzonym Wydziale Zarządzania i Ekonomii, Politechniki Gdańskiej, na stanowisku asystenta. W 1997 roku uzyskała stopień doktora nauk ekonomicznych na WZiE, a w 2006 doktora habilitowanego nauk ekonomicznych w dyscyplinie nauki o zarządzaniu,...

  • Using Synchronously Registered Biosignals Dataset for Teaching Basics of Medical Data Analysis – Case Study

    Publikacja

    - Rok 2022

    Medical data analysis and processing strongly relies on the data quality itself. The correct data registration allows many unnecessary steps in data processing to be avoided. Moreover, it takes a certain amount of experience to acquire data that can produce replicable results. Because consistency is crucial in the teaching process, students have access to pre-recorded real data without the necessity of using additional equipment...

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  • Biometryczna kontrola dostępu

    Opisano szczegółowo algorytm detekcji oraz identyfikacji człowieka na podstawie punktów nodalnych twarzy. Zdefiniowano pojęcia: biometria, proces pomiaru biometrycznego, metody biometrycznej identyfikacji oraz kontrola dostępu. Przedstawiono opis opracowanego systemu biometrycznej identyfikacji wykorzystującego sztuczne sieci neuronowe. Podano wyniki badań oraz przeprowadzono ich wnikliwą dyskusję.Biometrics is the study of automated...

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  • Activated Sludge Process Development

    Publikacja

    - Rok 2014

    This paper summarizes the most significant steps in the activated sludge process development and recognizes key contributors. Recognition of the roles of oxygen and living organisms was the first step (1882-1914). Ardern and Lockett (1914) named the accumulated olids "activated sludge". The process was rapidly accepted and applied in the period 1914-1930. The most dramatic changes in the activated sludge process understanding and...

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  • AUGMENTATION OF THE CRITICAL HEAT FLUX IN WATER-Al2O3, WATER-TiO2 AND WATER-Cu NANOFLUIDS

    Publikacja

    The main aim of the proposed study is therefore recognition of the phenomena accompanying nucleate boiling crisis of selected nanofluids during boiling on horizontal tubes of various outside diameters. Of particular interest is impact of contact angle and tube diameter on the value of critical heat flux. The results obtained should give more light on the nature of nucleate boiling crisis and will serve as a basis for future theoretical...

  • Ultrawideband transmission in physical channels: a broadband interference view

    The superposition of multipath components (MPC) of an emitted wave, formed by reflections from limiting surfaces and obstacles in the propagation area, strongly affects communication signals. In the case of modern wideband systems, the effect should be seen as a broadband counterpart of classical interference which is the cause of fading in narrowband systems. This paper shows that in wideband communications, the time- and frequency-domain...

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  • Determining Pronunciation Differences in English Allophones Utilizing Audio Signal Parameterization

    Publikacja

    - Rok 2017

    An allophonic description of English plosive consonants, based on audio-visual recordings of 600 specially selected words, was developed. First, several speakers were recorded while reading words from a teleprompter. Then, every word was played back from the previously recorded sample read by a phonology expert and each examined speaker repeated a particular word trying to imitate correct pronunciation. The next step consisted...

  • Towards Contactless, Hand Gestures-Based Control of Devices

    Publikacja

    Gesture-based intuitive interactions with electronic devices can be an important part of smart home systems. In this paper, we adapt the contactless linear gesture sensor for the navigation of smart lighting system. Set of handled gestures allow to propose two methods of active light source selection, continuous dimming, and turning on and off based on discrete gestures. The average gesture recognition accuracy was 97.58% in the...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Robust Object Detection with Multi-input Multi-output Faster R-CNN

    Publikacja

    Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual recognition is model ensembling. However, recently it was shown that similarly competitive results could be achieved with a much smaller cost, by using multi-input multi-output architecture (MIMO). In this work,...

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  • Color transformation methods for dichromats

    Color blindness is a serious perception problem. Suffering individuals cannot understand messages, which are carrying by many images, especially those, distributed by WWW. In this paper we are proposing three image processing methods to enhance image recognition and understanding by persons with dichromacy. Color difference image is introduced to represent color perception dissimilarity. Two color transformation methods are presented....

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  • Sensing Direction of Human Motion Using Single-Input-Single-Output (SISO) Channel Model and Neural Networks

    Publikacja

    - IEEE Access - Rok 2022

    Object detection Through-the-Walls enables localization and identification of hidden objects behind the walls. While numerous studies have exploited Channel State Information of Multiple Input Multiple Output (MIMO) WiFi and radar devices in association with Artificial Intelligence based algorithms (AI) to detect and localize objects behind walls, this study proposes a novel non-invasive Through-the-Walls human motion direction...

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  • Affective reactions to playing digital games

    Publikacja

    The paper presents a study of emotional states during a gameplay. An experiment of two-player Tetris game is reported, followed by the analysis of the results - self-reported emotional states as well as physiological signals measurements interpretation. The study reveals the diversity of emotional reactions and concludes, that a representative player's emotional model is hard to define. Instead, an adaptive approach to emotion...

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  • Information retrieval with semantic memory model

    Publikacja

    Psycholinguistic theories of semantic memory form the basis of understanding of natural language concepts. These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. Combining this network with a vector-based object-relation-feature value representation of concepts that includes also weights for confidence and support, allows for recognition of concepts...

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  • The Bridge to Knowledge – Open Access to Scientific Research Results on Multidisciplinary Open System Transferring Knowledge Platform

    Publikacja

    The European policy of Open Access to scientific research is now one of the key issues discussed in public debates on the future development of scientific communication. The implementation of Open Access tools has significant impact on scientific and economic growth. On the one hand, Open Access accelerates disseminating new research findings and facilitates recognition of authors on a more global scale. On the other hand, Open...

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  • Layered background modeling for automatic detection of unattended objects in camera images

    Publikacja

    - Rok 2011

    An algorithm for automatic detection of unattended objects in video camera images is presented. First, background subtraction is performed, using an approach based on the codebook method. Results of the detection are then processed by assigning the background pixels to time slots, based on the codeword age. Using this data, moving objects detected during a chosen period may be extracted from the background model. The proposed approach...

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  • Quality Evaluation of Novel DTD Algorithm Based on Audio Watermarking

    Publikacja

    Echo cancellers typically employ a doubletalk detection (DTD) algorithm in order to keep the adaptive filter from diverging in the presence of near-end speech signal or other disruptive sounds in the microphone signal. A novel doubletalk detection algorithm based on techniques similar to those used for audio signal watermarking was introduced by the authors. The application of the described DTD algorithm within acoustic echo cancellation...

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  • TspGWI, a thermophilic class-IIS restriction endonuclease from Thermus sp.,recognizes novel asymmetric sequence 5´-ACGGA(N11/9)-3

    Publikacja
    • A. Żylicz-Stachula
    • R. I. Harasimowicz-Słowińska
    • I. Sobolewski
    • P. Skowron

    - NUCLEIC ACIDS RESEARCH - Rok 2002

    A novel prototype class-IIS restriction endonuclease, TspGWI, was isolated from the thermophilic bacterium Thermus sp. GW. The recognition sequence and cleavage positions have been established: TspGWI recognizes the non-palindromic 5-bp sequence 5′-ACGGA-3′ and cleaves the DNA 11 and 9 nt downstream in the top and bottom strand, respectively. In addition, an accompanying endonuclease, TspGWII, an isoschizomer of Pst I, was found...

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  • Several notes on technical modernization of a historical building

    Publikacja

    - Rok 2013

    This paper describes methods and means used during the renovation process of several elements of a building – the assembly hall, inner courtyards and attics of the main building at Gdansk University of Technology, both in design and construction domains. A tissue of a historic building required special approach to these tasks, with special emphasis on good recognition of problems, careful planning and consistent implementing of...

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  • Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier

    Publikacja

    - Healthcare - Rok 2023

    In recent years, a lot of attention has been paid to using radiology imaging to automatically find COVID-19. (1) Background: There are now a number of computer-aided diagnostic schemes that help radiologists and doctors perform diagnostic COVID-19 tests quickly, accurately, and consistently. (2) Methods: Using chest X-ray images, this study proposed a cutting-edge scheme for the automatic recognition of COVID-19 and pneumonia....

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  • A Study on Audio Signal Processed by "Instant Mastering"

    Publikacja

    - Rok 2018

    An increasing amount of music produced in home- and project-studios results in development and growth of "automatic mastering services". The presented investigation explores changes introduced to audio signal by various online mastering platforms. A music set consisting of 10 songs produced in small facilities was processed by eight on-line automatic mastering services. Additionally, some laboratory-constructed signals were tested....

  • Elgold partial: Automotive blogs

    Dane Badawcze

    The dataset contains 34 English texts scrapped from automotive blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and...

  • Elgold partial: Movie reviews

    Dane Badawcze

    The dataset contains 37 English texts with movie reviews. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: Job offers

    Dane Badawcze

    The dataset contains 34 English texts scrapped from the web portals offering job offers. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity...

  • Elgold partial: Scientific papers' abstracts

    Dane Badawcze

    The dataset contains 87 Scientific papers' abstracts in English randomly chosen from the folowing scientific disciplines: Biomedicine, Life Sciences, Mathematics, Medicine, Science, Humanities, Social Science.

  • Elgold partial: Amazon product reviews

    Dane Badawcze

    The dataset contains 34 Amazon product reviews in English. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: History blogs

    Dane Badawcze

    The dataset contains 13 texts from English history blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Towards automation of IT systems repairs

    Publikacja

    - SOFTWARE QUALITY JOURNAL - Rok 2016

    Monitoring and repair are two sides of the on-the-fly maintenance of IT systems.Monitoring is well supported by automatic tools. In contrast, repairs involve much higherhuman intervention which negatively affects reliability and efficiency. The paper intro-duces a method of automating repairs of IT systems which can be integrated with any ofthe existing monitoring mechanisms. The method is described as a collection of modelsand...

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  • IMAGE CORRELATION AS A TOLL FOR TRACKING FACIAL CHANGES CAUSING BY EXTERNAL STIMULI

    Publikacja

    - Rok 2015

    Expressions of the human face bring a lot of information, which are a valuable source in the areas of computer vision, remote sensing and affective computing. For years, by analyzing the movement of the skin and facial muscles scientists are trying to create the perfect tool, based on image analysis, allowing the recognition of emotional states of human beings. To create a reliable algorithm, it is necessary to explore and examine...

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  • A calibration model for gas sensor array in varying environmental conditions

    Abstract: Gas-analyzing systems based on gas sensors, commonly referred to as electronic noses, are the systems which enable the recognition of volatile compounds in their working environment and provide the on-line results of analysis. The most commonly used type of sensors in such systems is semiconductor gas sensors. They are considered to be the most reliable in the long-term applications (more than 1 year), however,...

  • A calibration model for gas sensor array in varying environmental conditions

    Abstract: Gas-analyzing systems based on gas sensors, commonly referred to as electronic noses, are the systems which enable the recognition of volatile compounds in their working environment and provide the on-line results of analysis. The most commonly used type of sensors in such systems is semiconductor gas sensors. They are considered to be the most reliable in the long-term applications (more than 1 year), however,...

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  • Normalization of face illumination using basic knowledge and information extracted from a single image

    Publikacja

    This paper presents a method for face image normalization that can be applied to the extraction of illumination invariant facial features or used to remove bad lighting effects and produce high-quality, photorealistic results. Most of the existing approaches concentrate on separating the constant albedo from the variable light intensity; that concept, however, is based on the Lambertian model, which fails in the presence of specularities...

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  • THE POSSIBILITIES OF ESTIMATING THE RELIABILITY OF SHIP PIPELINES’ ELEMENTS INCLUDING DESTRUCTIVE PHENOMENA ACTING ON THEM

    Publikacja

    In the article an approach to the problem of estimating reliability data based on physical models is proposed. The possibility of reliability assessment for selected elements of ship pipelines, based on the recognition of the destructive physical phenomena taking place in them, is discussed. To do this, an overview of these phenomena has been made. In addition, a preliminary review of existing measures of destruction of materials...

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