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    Wyświetlanie 1-12 z 12
    Tytuł:
    Effect of Heating Rate on Accelerated Carbide Spheroidisation (ASR) in 100CrMnSi6-4 Bearing Steel
    Wpływ szybkości grzania na przyspieszoną sferoidyzację węglików (ASR) w stali łożyskowej 100CrMnSi6-4
    Autorzy:
    Hauserova, D.
    Dlouhy, J.
    Novy, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/351803.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    carbide spheroidisation
    bearing steel
    annealing
    induction heating
    węgliki
    ASR
    wyżarzanie
    stal łożyskowa
    grzanie indukcyjne
    Opis:
    Typical processing routes for bearing steels include a soft annealing stage, the purpose of which is to obtain a microstructure containing globular carbides in ferritic matrix. A newly developed process called ASR cuts the carbide spheroidisation times several fold, producing considerably finer globular carbides than conventional soft annealing. The present paper explores the effect of the heating rate and temperature on the accelerated carbide spheroidisation process and on the resulting hardness. Accelerated spheroidisation was achieved by thermal cycling for several minutes around various temperatures close to the transformation temperature at various heating rates applied by induction heating.
    Proces obróbki stali łożyskowych obejmuje wyżarzanie zmiękczajace, którego celem jest uzyskanie mikrostruktury zawierającej kuliste węgliki w osnowie ferrytycznej. Nowo opracowana obróbka zwana ASR polega na wielokrotnym przerywaniu procesu sferoidyzacji, co prowadzi do wytworzenia węglików kulistych o znacznie mniejszych rozmiarach w porównaniu do tych, jakie powstają w konwencjonalnym procesie wyżarzania zmiękczającego. Niniejsza praca analizuje wpływ szybkości grzania i temperatury na proces przyspieszonej sferoidyzacji węglików i na uzyskana twardość. Przyspieszona sferoidyzacje węglików uzyskano dzięki zastosowaniu cyklicznych zmian temperatury trwających kilka minut wokół określonych temperatur bliskich temperaturze przemiany za pomocą grzania indukcyjnego z różnymi prędkościami.
    Źródło:
    Archives of Metallurgy and Materials; 2014, 59, 3; 1199-1203
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    FEM model of flexible coupling ASR type
    Model MES sprzęgła podatnego typu ASR
    Autorzy:
    Sładkowski, A.
    Opasiak, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/374483.pdf
    Data publikacji:
    2007
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    modelowanie matematyczne
    metoda elementów skończonych
    MES
    sprzęgło
    mathematical modelling
    finite elements method
    FEM
    coupling
    Opis:
    Main load in operation of flexible coupling in a drive system is concentrated on elastomer part. The paper presents modeling of contact operation of the hub claws and elastomer teeth in a single insert flexible coupling ASR type.
    Na elemencie elastomerowym sprzęgła podatnego kumulują się główne obciążenia w czasie pracy sprzęgła w układzie napędowym. W artykule przedstawiono sposób modelowania współpracy kontaktowej łącznika podatnego z występami zębatymi w sprzęgle jednowkładkowym podatnym typu ASR.
    Źródło:
    Transport Problems; 2007, 2, 3; 109-114
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Intelligent manufacturing systems - automatic speech recognition system
    Autorzy:
    Gregor, M.
    Michulek, T
    Powiązania:
    https://bibliotekanauki.pl/articles/117839.pdf
    Data publikacji:
    2009
    Wydawca:
    Polskie Towarzystwo Promocji Wiedzy
    Tematy:
    manufacturing processes
    IMS
    ASR
    Opis:
    The University of Žilina and the Central European Institute of Competitiveness have been conducting research in development of Intelligent Manufacturing System. One of areas researched was Automatic Speech Recognition (ASR) and control of manufacturing processes through voice control. This paper presents chosen results from research done at the University of Zilina and at the Central European Institute of Technology.
    Źródło:
    Applied Computer Science; 2009, 5, 1; 55-68
    1895-3735
    Pojawia się w:
    Applied Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Water softening using caustic soda: privileges and restrictions
    Autorzy:
    Zadghaffari, R.
    Asr, S. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/779753.pdf
    Data publikacji:
    2013
    Wydawca:
    Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
    Tematy:
    water softening
    lime
    sodium carbonate
    caustic soda
    Opis:
    The aims of the current study is to investigate the constraint of using caustic soda in water treatment and evaluating its performance in water softening, compared to other chemical group, including lime and sodium carbonate. Based on mass balance of reactants in the caustic softening process, a mathematical relation for expressing the constraint of using caustic soda in water softening was derived. To evaluate caustic soda performance in water softening and proving the derived relation as well, some experimental works on some water sources including well water and clarifier’s inlet water in two oil refineries were performed. The results showed that compared to lime- sodium carbonate, the caustic soda is the best choice for water softening, however, using caustic soda in water softening, while restrictive mathematical relation doesn’t verify the chemical characteristics of water, could lead to an extreme increase in alkalinity.
    Źródło:
    Polish Journal of Chemical Technology; 2013, 15, 2; 116-121
    1509-8117
    1899-4741
    Pojawia się w:
    Polish Journal of Chemical Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of Hardware Requirements for Isolated Speech Recognition on an Embedded Systems
    Autorzy:
    Kłobucki, K.
    Mąka, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/227186.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    isolated speech recognition
    ASR
    resources estimation
    Opis:
    In recent years, speech recognition functionality is increasingly being added in embedded devices. Because of limited resources in these devices, there is a need to assess whether the defined speech recognition system is feasible within given constraints, as well as estimating how many resources the system needs. In this paper, an attempt has been taken to define a technique for estimating hardware resources usage in the speech recognition task. To determine the parameters and their dependencies in this task, the two systems were tested. The first system utilized Dynamic Time Warping pattern matching technique, the second used Hidden Markov Models. For each case, the measurement of recognition rate and time, vocabulary database size and learning time has been performed. Obtained results have been exploited to define linear and polynomial regression models, and finally, an estimation algorithm has been developed using these models. After testing proposed approach, it was observed that even low-end mobile phones have sufficient hardware resources for realisation of isolated speech recognition system.
    Źródło:
    International Journal of Electronics and Telecommunications; 2011, 57, 4; 483-488
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of sodium and potassium formate on the ASR reactivity of granite aggregate
    Wpływ mrówczanu sodu i potasu na podatność kruszywa granitowego na reakcję alkaliczną
    Autorzy:
    Antolik, Aneta
    Powiązania:
    https://bibliotekanauki.pl/articles/2142746.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Świętokrzyska w Kielcach. Wydawnictwo PŚw
    Tematy:
    granite aggregate
    alkali-silica reaction
    ASR
    sodium formate
    potassium formate
    alkali-silica gel
    microstructure
    kruszywo granitowe
    reakcja alkaliczno-krzemionkowa
    mrówczan sodu
    mrówczan potasu
    żel alkaliczno-krzemionkowy
    mikrostruktura
    Opis:
    Use of de-icing agents is necessary in winter to maintain appropriate quality of road and airport surfaces. Formate or acetate de-icing agents are safer for aircraft and the environment than the commonly used sodium chloride, but may cause an alkali-silica reaction in concrete. The study investigated the influence of sodium formate and potassium formate on the occurrence of ASR (alkali-silica reaction) in mortars with granite aggregate. Accelerated mortar-bar tests at 80°C using various de-icing agents were performed and detailed studies of the SEM-EDS microstructure were carried out.
    Stosowanie środków odladzających jest niezbędne do zimowego utrzymania odpowiedniej jakości betonowych nawierzchni drogowych i lotniskowych. Środki odladzające na bazie mrówczanów lub octanów są bezpieczniejsze zarówno dla środowiska, jak i statków powietrznych niż powszechnie stosowany chlorek sodu, jednak mogą wywoływać reakcję alkaliczno-krzemionkową kruszywa w betonie. W pracy analizowano wpływ mrówczanu sodu i mrówczanu potasu na potencjał wystąpienia ASR (alkali-silica reaction) w zaprawach z kruszywem granitowym. Przeprowadzono badania ekspansji w 80°C z zastosowaniem różnych środków odladzających oraz przeprowadzono szczegółowe badania mikrostruktury SEM-EDS.
    Źródło:
    Structure and Environment; 2022, 14, 3; 69--75
    2081-1500
    Pojawia się w:
    Structure and Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrid CNN-Ligru acoustic modeling using sincnet raw waveform for hindi ASR
    Autorzy:
    Kumar, Ankit
    Aggarwal, Rajesh Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/1839250.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    automatic speech recognition
    CNN
    CNN-LiGRU
    DNN
    Opis:
    Deep neural networks (DNN) currently play a most vital role in automatic speech recognition (ASR). The convolution neural network (CNN) and recurrent neural network (RNN) are advanced versions of DNN. They are right to deal with the spatial and temporal properties of a speech signal, and both properties have a higher impact on accuracy. With its raw speech signal, CNN shows its superiority over precomputed acoustic features. Recently, a novel first convolution layer named SincNet was proposed to increase interpretability and system performance. In this work, we propose to combine SincNet-CNN with a light-gated recurrent unit (LiGRU) to help reduce the computational load and increase interpretability with a high accuracy. Different configurations of the hybrid model are extensively examined to achieve this goal. All of the experiments were conducted using the Kaldi and Pytorch-Kaldi toolkit with the Hindi speech dataset. The proposed model reports an 8.0% word error rate (WER).
    Źródło:
    Computer Science; 2020, 21 (4); 397-417
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Two-Microphone Dereverberation for Automatic Speech Recognition of Polish
    Autorzy:
    Kundegorski, M.
    Jackson, P. J. B.
    Ziółko, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/176431.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    speech enhancement
    reverberation
    automatic speech recognition
    ASR
    Polish
    Opis:
    Reverberation is a common problem for many speech technologies, such as automatic speech recogni- tion (ASR) systems. This paper investigates the novel combination of precedence, binaural and statistical independence cues for enhancing reverberant speech, prior to ASR, under these adverse acoustical con- ditions when two microphone signals are available. Results of the enhancement are evaluated in terms of relevant signal measures and accuracy for both English and Polish ASR tasks. These show inconsistencies between the signal and recognition measures, although in recognition the proposed method consistently outperforms all other combinations and the spectral-subtraction baseline.
    Źródło:
    Archives of Acoustics; 2014, 39, 3; 411-420
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Gender recognition using neural networks and ASR techniques
    Autorzy:
    Sas, J.
    Sas, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/333972.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
    Tematy:
    artificial neural networks
    speech recognition
    gender recognition
    sztuczne sieci neuronowe
    rozpoznawanie mowy
    rozpoznawanie płci
    Opis:
    The paper presents the simple technique of speaker gender recognition that uses MFCC features typically applied in automatic speech recognition. Artificial neural network is used as a classifier. The speech signal is first divided into 20 ms frames. For each frame, Mel-Frequency Cepstral Coefficients are extracted and the created feature vector is provided into a neural network classifier, which individually classifies each frame as male or female sample. Finally, the whole utterance is classified by selecting the class, for which the sum of corresponding neural network outputs is greater. The advantage of the method is that it can be easily combined with speech recognition, because both processes (gender recognition and speech recognition) are based on the same features. This way, no additional logic and no extra computational power is needed to extract features necessary for gender recognition. The method was experimentally evaluated using speech samples in English and in Polish. The comparison with other methods described in literature based on other feature extraction methods shows the superiority of the proposed approach, especially in cases where the recognition is carried out in noisy environment or using poor audio equipment.
    Źródło:
    Journal of Medical Informatics & Technologies; 2013, 22; 179-187
    1642-6037
    Pojawia się w:
    Journal of Medical Informatics & Technologies
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Study on the Impact of Lombard Effect on Recognition of Hindi Syllabic Units Using CNN Based Multimodal ASR Systems
    Autorzy:
    Uma Maheswari, Sadasivam
    Shahina, A.
    Rishickesh, Ramesh
    Nayeemulla Khan, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/176415.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    Lombard speech
    multimodal ASR
    throat microphone
    visual speech
    Convolutional Neural Network
    Hidden Markov Model
    late fusion
    intermediate fusion
    Opis:
    Research work on the design of robust multimodal speech recognition systems making use of acoustic, and visual cues, extracted using the relatively noise robust alternate speech sensors is gaining interest in recent times among the speech processing research fraternity. The primary objective of this work is to study the exclusive influence of Lombard effect on the automatic recognition of the confusable syllabic consonant-vowel units of Hindi language, as a step towards building robust multimodal ASR systems in adverse environments in the context of Indian languages which are syllabic in nature. The dataset for this work comprises the confusable 145 consonant-vowel (CV) syllabic units of Hindi language recorded simultaneously using three modalities that capture the acoustic and visual speech cues, namely normal acoustic microphone (NM), throat microphone (TM) and a camera that captures the associated lip movements. The Lombard effect is induced by feeding crowd noise into the speaker’s headphone while recording. Convolutional Neural Network (CNN) models are built to categorise the CV units based on their place of articulation (POA), manner of articulation (MOA), and vowels (under clean and Lombard conditions). For validation purpose, corresponding Hidden Markov Models (HMM) are also built and tested. Unimodal Automatic Speech Recognition (ASR) systems built using each of the three speech cues from Lombard speech show a loss in recognition of MOA and vowels while POA gets a boost in all the systems due to Lombard effect. Combining the three complimentary speech cues to build bimodal and trimodal ASR systems shows that the recognition loss due to Lombard effect for MOA and vowels reduces compared to the unimodal systems, while the POA recognition is still better due to Lombard effect. A bimodal system is proposed using only alternate acoustic and visual cues which gives a better discrimination of the place and manner of articulation than even standard ASR system. Among the multimodal ASR systems studied, the proposed trimodal system based on Lombard speech gives the best recognition accuracy of 98%, 95%, and 76% for the vowels, MOA and POA, respectively, with an average improvement of 36% over the unimodal ASR systems and 9% improvement over the bimodal ASR systems.
    Źródło:
    Archives of Acoustics; 2020, 45, 3; 419-431
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Microstructural Analysis of Concrete Using Cow Bone Ash for Alkali-Silica Reaction (ASR) Suppression
    Autorzy:
    Adanikin, Ariyo
    Falade, Funsho
    Olutaiwo, Adewale
    Powiązania:
    https://bibliotekanauki.pl/articles/106963.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    petrographic analysis
    Scanning Electron Microscopy
    Cow Bone Ash
    Alkali-Silica Reaction
    concrete pavement
    Opis:
    Concrete pavements are prone to microstructural changes and deterioration when exposed to Alkali-Silica Reaction (ASR). ASR results in strength reduction, cracking, spalling and other defects in the concrete if left unchecked. Supplementary Cementitious Materials (SCMs) such as Cow Bone Ash (CBA) however can be used to improve concrete performance, hence its use in this study. Concrete samples were prepared at replacement levels of 0%, 5%, 10%, 15%, 20% and 30% of cement with Cow Bone Ash. The concrete samples were then subjected to petrographic and Scanning Electron Microscopy (SEM) analysis. Petrographic examination shows that the minimal and least amount of ASR gels and micro cracking were observed at 15% CBA replacement of cement in the concrete samples. Scanning Electron Microscopy (SEM) analysis shows that changes in the elemental composition of the concrete samples is related to the effect of CBA which enhances adhesion in the concrete. SEM analysis show that, in general, the change in microstructure in the concrete was mainly due to the change in the arrangement of the C-H-S compounds. The microstructure analysis indicates that CBA in concrete influences the densification of the concrete at the transition zone, resulting in a much lower porosity. This results in the concrete having a tightly bound layer that repels ingress of water and thereby inhibiting cracks and gel formation as water is a contributing factor to the ASR in concrete.
    Źródło:
    Journal of Casting & Materials Engineering; 2020, 4, 2; 34-40
    2543-9901
    Pojawia się w:
    Journal of Casting & Materials Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Phonetic Segmentation using a Wavelet-based Speech Cepstral Features and Sparse Representation Classifier
    Autorzy:
    Al-Hassani, Ihsan
    Al-Dakkak, Oumayma
    Assami, Abdlnaser
    Powiązania:
    https://bibliotekanauki.pl/articles/2058484.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    Arabic speech corpus
    ASR
    F1-score
    phonetic segmentation
    sparse representation classifier
    TTS
    wavelet packet
    Opis:
    Speech segmentation is the process of dividing speech signal into distinct acoustic blocks that could be words, syllables or phonemes. Phonetic segmentation is about finding the exact boundaries for the different phonemes that composes a specific speech signal. This problem is crucial for many applications, i.e. automatic speech recognition (ASR). In this paper we propose a new model-based text independent phonetic segmentation method based on wavelet packet speech parametrization features and using the sparse representation classifier (SRC). Experiments were performed on two datasets, the first is an English one derived from TIMIT corpus, while the second is an Arabic one derived from the Arabic speech corpus. Results showed that the proposed wavelet packet decomposition features outperform the MFCC features in speech segmentation task, in terms of both F1-score and R-measure on both datasets. Results also indicate that the SRC gives higher hit rate than the famous k-Nearest Neighbors (k-NN) classifier on TIMIT dataset.
    Źródło:
    Journal of Telecommunications and Information Technology; 2021, 4; 12--22
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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