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    Wyświetlanie 1-6 z 6
    Tytuł:
    The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness
    Autorzy:
    Basyigit, Ibrahim Bahadir
    Dogan, Habib
    Powiązania:
    https://bibliotekanauki.pl/articles/226583.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electromagnetic shielding
    electromagnetic
    compatibility
    apertures
    multilayer perceptron
    radial basis
    function networks
    Opis:
    This paper presents that the effect of single aperture size of metallic enclosure on electrical shielding effectiveness (ESE) at 0 – 1 GHz frequency range has been investigated by using both Robinson’s analytical formulation and artificial neural networks (ANN) methods that are multilayer perceptron (MLP) networks and a radial basis function neural network (RBFNN). All results including measurement have been compared each other in terms of aperture geometry of metallic enclosure. The geometry of single aperture varies from square to rectangular shape while the open area of aperture is fixed. It has been observed that network structure of MLP 3-40-1 in modeling with ANN modeled with fewer neurons in the sense of overlapping of faults and data and modeled accordingly. In contrast, the RBFNN 3-150-1 is the other detection that the network structure is modeled with more neurons and more. It can be seen from the same network-structured MLP and RBFNN that the MLP modeled better. In this paper, the impact of dimension of rectangular aperture on shielding performance by using RBFNN and MLP network model with ANN has been studied, as a novelty.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 3; 359-365
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Head-Related Transfer Function Selection Using Neural Networks
    Autorzy:
    Yao, S.-N.
    Collins, T.
    Liang, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/176307.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    head-related transfer function
    neural networks
    localisation
    music
    audio
    anthropometry
    pinna
    Opis:
    In binaural audio systems, for an optimal virtual acoustic space a set of head-related transfer functions (HRTFs) should be used that closely matches the listener’s ones. This study aims to select the most appropriate HRTF dataset from a large database for users without the need for extensive listening tests. Currently, there is no way to reliably reduce the number of datasets to a smaller, more manageable number without risking discarding potentially good matches. A neural network that estimates the appropriateness of HRTF datasets based on input vectors of anthropometric measurements is proposed. The shapes and sizes of listeners’ heads and pinnas were measured using digital photography; the measured anthropometric parameters form the feature vectors used by the neural network. A graphical user interface (GUI) was developed for participants to listen to music transformed using different HRTFs and to evaluate the fitness of each HRTF dataset. The listening scores recorded were the target outputs used to train the neural networks. The aim was to learn a mapping between anthropometric parameters and listener’s perception scores. Experimental validations were performed on 30 subjects. It is demonstrated that the proposed system produces a much more reliable HRTF selection than previously used methods.
    Źródło:
    Archives of Acoustics; 2017, 42, 3; 365-373
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Verification of applicability of the Trimble RTX satellite technology with xFill function in establishing surveying control networks
    Weryfikacja przydatności technologii satelitarnej Trimble RTX z funkcją xFill do zakładania osnów pomiarowych
    Autorzy:
    Krzyżek, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/145376.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    osnowa geodezyjna
    technologia satelitarna
    Trimble RTX
    RTK GPS
    geodetic control network
    RTX
    Opis:
    The paper presents the results of real time measurements of test geodetic control network points using the RTK GPS and RTX Extended technologies. The Trimble RTX technology uses the xFill function, which enables real measurements without the need for constant connection with the ASG EUPOS system reference stations network. Comparative analyses of the results of measurements using the methods were performed and they were compared with the test control network data assumed to be error-free. Although the Trimble RTX technology is an innovative measurement method which is rarely used now, the possibilities it provides in surveying works, including building geodetic control networks, are satisfactory and it will certainly contribute to improving the organisation of surveying works.
    W pracy przedstawiono wyniki pomiarów w czasie rzeczywistym punktów osnowy testowej z wykorzystaniem technologii RTK GPS oraz RTX Extended. W technologii Trimble RTX wykorzystano funkcję xFill, która daje możliwości realnego wykonywania pomiaru bez konieczności stałej łączności z siecią stacji referencyjnych systemu ASG EUPOS. Wykonano analizy porównawcze wyników pomiaru między metodami oraz odniesiono je do danych osnowy testowej, przyjętych za bezbłędne. Choć technologia Trimble RTX jest innowacyjną metodą pomiaru i jeszcze rzadko stosowaną, to możliwości jakie daje w realizacjach prac geodezyjnych, w tym zakładaniu osnów pomiarowych, są bardzo zadawalające i z pewnością przyczyni się do jeszcze lepszej i bardziej ekonomicznej organizacji prac geodezyjnych.
    Źródło:
    Geodesy and Cartography; 2013, 62, 2; 217-233
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mathematical Model of Communication Delays in Wireless Networks
    Autorzy:
    Krupanek, B.
    Bogacz, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/226594.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    wireless networks
    delays
    mathematical modeling
    delta function
    Opis:
    The paper presents a new conception of building probabilistic models of communication delays in wireless networks that basis on using a delta function sequence to describe retransmissions between a transmitter and a receiver. It is assumed that the access time of the transmitter is described by a probability density function and the communication channel established in the wireless medium is disturbed by passive or active factors which cause that the transmission can be not correct and the sent data have to be retransmitted. Theoretical considerations have been verified by measurement results obtained by using the experimental system developed for investigating delays caused by external disturbances influencing the wireless transmission. A method of identification of the proposed model parameters and verification of the identified values has been presented.
    Źródło:
    International Journal of Electronics and Telecommunications; 2016, 62, 1; 61-64
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Theory I: Deep networks and the curse of dimensionality
    Autorzy:
    Poggio, T.
    Liao, Q.
    Powiązania:
    https://bibliotekanauki.pl/articles/200623.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    deep network
    shallow network
    convolutional neural network
    function approximation
    deep learning
    sieci neuronowe
    aproksymacja funkcji
    uczenie głębokie
    Opis:
    We review recent work characterizing the classes of functions for which deep learning can be exponentially better than shallow learning. Deep convolutional networks are a special case of these conditions, though weight sharing is not the main reason for their exponential advantage.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 761-773
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    N-Body Potential Interaction as a Cost Function in the Elastic Model for SANET Cloud Computing
    Autorzy:
    Chaczko, Z.
    Resconi, G.
    Chiu, C.
    Aslanzadeh, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/227216.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    elastic network model
    cloud computing
    Sensor-Actor networks
    matrix calculus
    N-Body interactions
    cost functions
    Opis:
    Given a connection graph of entities that send and receive a flow of data controlled by effort and given the parameters, the metric tensor is computed that is in the elastic relational flow to effort. The metric tensor can be represented by the Hessian of the interaction potential. Now the interaction potential or cost function can be among two entities: 3 entities or 'N' entities and can be separated into two main parts. The first part is the repulsion potential the entities move further from the others to obtain minimum cost, the second part is the attraction potential for which the entities move near to others to obtain the minimum cost. For Pauli's model [1], the attraction potential is a functional set of parameters given from the environment (all the elements that have an influence in the module can be the attraction of one entity to another). Now the cost function can be created in a space of macro-variables or macro-states that is less of all possible variables. Any macro-variable collect a set of micro-variables or microstates. Now from the hessian of the macro-variables, the Hessian is computed of the micro-variables in the singular points as stable or unstable only by matrix calculus without any analytical computation - possible when the macro-states are distant among entities. Trivially, the same method can be obtained by a general definition of the macro-variable or macro-states and micro-states or variables. As cloud computing for Sensor-Actor Networks (SANETS) is based on the bonding concept for complex interrelated systems; the bond valence or couple corresponds to the minimum of the interaction potential V and in the SANET cloud as the minimum cost.
    Źródło:
    International Journal of Electronics and Telecommunications; 2012, 58, 1; 63-70
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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