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    Wyświetlanie 1-14 z 14
    Tytuł:
    Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
    Autorzy:
    Schimmack, M.
    Mercorelli, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/226940.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    noise detection
    wavelet packet transform
    wavelet analysis
    Daubechies wavelet
    linux-based embedded system
    ARM processor platform
    Opis:
    This article deals with the noise detection of discrete biosignals using an orthogonal wavelet packet. In specific, it compares the usefulness of Daubechies wavelets with different vanishing moments for the denoising and compression of the digitalised biosignals in case of surface electromyography (sEMG) signals. The work is based upon the discrete wavelet transform (DWT) version of wavelet package transform (WPT). A noise reducing algorithm is proposed to detect unavoidable noise in the acquired data in a model independent way. The noise of a signal sequence will be defined by a seminorm. This method was developed for a possible observation during a fracture healing period. The proposed method is general for signal processing and its design was based upon the wavelet packet.
    Źródło:
    International Journal of Electronics and Telecommunications; 2016, 62, 1; 15-21
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Study on Packet Scheduling Algorithms for Healthcare Contents over Fifth Generation (5G) Mobile Cellular Network
    Autorzy:
    Ramli, Huda Adibah Mohd
    Powiązania:
    https://bibliotekanauki.pl/articles/1844466.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    packet scheduling
    5G
    flexible frame structure
    transmission reliability
    scalable TTI
    Opis:
    This paper models the downlink Fifth Generation (5G) network that supports a flexible frame structure and a shorter Round-Trip Time (RTT) for Hybrid Automatic Repeat Request (HARQ). Moreover, the design of the renowned Time Division Multiple Access (TDMA) packet scheduling algorithms is revised to allow these algorithms to support packet scheduling in the downlink 5G. Simulation results demonstrate that the Proportional Fair provides a comparable performance to the delay–aware Maximum-Largest Weighted Delay First for simultaneously providing the desired transmission reliability of the Guaranteed Bit Rate (GBR) and Non-Guaranteed Bit Rate (Non - GBR) healthcare contents whilst maximizing the downlink 5G performance.
    Źródło:
    International Journal of Electronics and Telecommunications; 2020, 66, 4; 729-735
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors
    Autorzy:
    Sun, P.
    Qin, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/177782.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    speech enhancement
    speech presence probability
    wavelet packet transform
    two-dimensional Teager energy operator
    Opis:
    Despite various speech enhancement techniques have been developed for different applications, existing methods are limited in noisy environments with high ambient noise levels. Speech presence probability (SPP) estimation is a speech enhancement technique to reduce speech distortions, especially in low signalto-noise ratios (SNRs) scenario. In this paper, we propose a new two-dimensional (2D) Teager-energyoperators (TEOs) improved SPP estimator for speech enhancement in time-frequency (T-F) domain. Wavelet packet transform (WPT) as a multiband decomposition technique is used to concentrate the energy distribution of speech components. A minimum mean-square error (MMSE) estimator is obtained based on the generalized gamma distribution speech model in WPT domain. In addition, the speech samples corrupted by environment and occupational noises (i.e., machine shop, factory and station) at different input SNRs are used to validate the proposed algorithm. Results suggest that the proposed method achieves a significant enhancement on perceptual quality, compared with four conventional speech enhancement algorithms (i.e., MMSE-84, MMSE-04, Wiener-96, and BTW).
    Źródło:
    Archives of Acoustics; 2016, 41, 3; 579-590
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Light Weight Clustered Trust Sensing Mechanism for Internet of Things Network
    Autorzy:
    Rajendra Prasad, M.
    Krishna Reddy, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/2055236.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    internet of things
    trust sensing
    clustering
    mobility
    packet forwarding factor
    malicious detection rate
    packet delivery ratio
    Opis:
    Internet of Things (IoT) is the new research paradigm which has gained a great significance due to its widespread applicability in diverse fields. Due to the open nature of communication and control, the IoT network is more susceptible to several security threats. Hence the IoT network requires a trust aware mechanism which can identify and isolate the malicious nodes. Trust Sensing has been playing a significant role in dealing with security issue in IoT. A novel a Light Weight Clustered Trust Sensing (LWCTS) model is developed which ensures a secured and qualitative data transmission in the IoT network. Simulation experiments are conducted over the proposed model and the performance is compared with existing models. The obtained results prove the effectiveness when compared with existing approaches.
    Źródło:
    International Journal of Electronics and Telecommunications; 2022, 68, 1; 5--12
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle
    Autorzy:
    Liang, Linyuan
    Chen, Shuming
    Li, Peiran
    Powiązania:
    https://bibliotekanauki.pl/articles/2141688.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    rattle signals
    wavelet packet decomposition
    mathematical morphology filter
    critical frequency band
    information entropy
    Opis:
    Buzz, squeak and rattle (BSR) noise has become apparent in vehicles due to the significant reductions in engine noise and road noise. The BSR often occurs in driving condition with many interference signals. Thus, the automatic BSR detection remains a challenge for vehicle engineers. In this paper, a rattle signal denoising and enhancing method is proposed to extract the rattle components from in-vehicle background noise. The proposed method combines the advantages of wavelet packet decomposition and mathematical morphology filter. The critical frequency band and the information entropy are introduced to improve the wavelet packet threshold denoising method. A rattle component enhancing method based on multi-scale compound morphological filter is proposed, and the kurtosis values are introduced to determine the best parameters of the filter. To examine the feasibility of the proposed algorithm, synthetic brake caliper rattle signals with various SNR ratios are prepared to verify the algorithm. In the validation analysis, the proposed method can well remove the disturbance background noise in the signal and extract the rattle components with well SNR ratios. It is believed that the algorithm discussed in this paper can be further applied to facilitate the detection of the vehicle rattle noise in industry.
    Źródło:
    Archives of Acoustics; 2022, 47, 1; 43-55
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Speech emotion recognition using wavelet packet reconstruction with attention-based deep recurrent neutral networks
    Autorzy:
    Meng, Hao
    Yan, Tianhao
    Wei, Hongwei
    Ji, Xun
    Powiązania:
    https://bibliotekanauki.pl/articles/2173587.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    speech emotion recognition
    voice activity detection
    wavelet packet reconstruction
    feature extraction
    LSTM networks
    attention mechanism
    rozpoznawanie emocji mowy
    wykrywanie aktywności głosowej
    rekonstrukcja pakietu falkowego
    wyodrębnianie cech
    mechanizm uwagi
    sieć LSTM
    Opis:
    Speech emotion recognition (SER) is a complicated and challenging task in the human-computer interaction because it is difficult to find the best feature set to discriminate the emotional state entirely. We always used the FFT to handle the raw signal in the process of extracting the low-level description features, such as short-time energy, fundamental frequency, formant, MFCC (mel frequency cepstral coefficient) and so on. However, these features are built on the domain of frequency and ignore the information from temporal domain. In this paper, we propose a novel framework that utilizes multi-layers wavelet sequence set from wavelet packet reconstruction (WPR) and conventional feature set to constitute mixed feature set for achieving the emotional recognition with recurrent neural networks (RNN) based on the attention mechanism. In addition, the silent frames have a disadvantageous effect on SER, so we adopt voice activity detection of autocorrelation function to eliminate the emotional irrelevant frames. We show that the application of proposed algorithm significantly outperforms traditional features set in the prediction of spontaneous emotional states on the IEMOCAP corpus and EMODB database respectively, and we achieve better classification for both speaker-independent and speaker-dependent experiment. It is noteworthy that we acquire 62.52% and 77.57% accuracy results with speaker-independent (SI) performance, 66.90% and 82.26% accuracy results with speaker-dependent (SD) experiment in final.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e136300
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Speech emotion recognition using wavelet packet reconstruction with attention-based deep recurrent neutral networks
    Autorzy:
    Meng, Hao
    Yan, Tianhao
    Wei, Hongwei
    Ji, Xun
    Powiązania:
    https://bibliotekanauki.pl/articles/2090711.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    speech emotion recognition
    voice activity detection
    wavelet packet reconstruction
    feature extraction
    LSTM networks
    attention mechanism
    rozpoznawanie emocji mowy
    wykrywanie aktywności głosowej
    rekonstrukcja pakietu falkowego
    wyodrębnianie cech
    mechanizm uwagi
    sieć LSTM
    Opis:
    Speech emotion recognition (SER) is a complicated and challenging task in the human-computer interaction because it is difficult to find the best feature set to discriminate the emotional state entirely. We always used the FFT to handle the raw signal in the process of extracting the low-level description features, such as short-time energy, fundamental frequency, formant, MFCC (mel frequency cepstral coefficient) and so on. However, these features are built on the domain of frequency and ignore the information from temporal domain. In this paper, we propose a novel framework that utilizes multi-layers wavelet sequence set from wavelet packet reconstruction (WPR) and conventional feature set to constitute mixed feature set for achieving the emotional recognition with recurrent neural networks (RNN) based on the attention mechanism. In addition, the silent frames have a disadvantageous effect on SER, so we adopt voice activity detection of autocorrelation function to eliminate the emotional irrelevant frames. We show that the application of proposed algorithm significantly outperforms traditional features set in the prediction of spontaneous emotional states on the IEMOCAP corpus and EMODB database respectively, and we achieve better classification for both speaker-independent and speaker-dependent experiment. It is noteworthy that we acquire 62.52% and 77.57% accuracy results with speaker-independent (SI) performance, 66.90% and 82.26% accuracy results with speaker-dependent (SD) experiment in final.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e136300, 1--12
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Effect of Voice over IP Transmission Degradations on MAP-EM-GMM Speaker Verification Performance
    Autorzy:
    Maciejko, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/177874.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    automatic speaker verification
    packet loss
    speech compression
    voice over IP
    Opis:
    Despite the growing importance of packet switching systems, there is still a shortage of thorough analyses of VoIP transmission effect on speech and speaker recognition performance. Voice over IP transmission systems use packet switching. There is no guarantee of delivery. The main disadvantage of VoIP is a packet loss which has a major impact on the performance experienced by the users of the network. There are several techniques to mask the effects of a packet loss, referred to as packet loss concealment. In this study, the effect of voice transmission over IP on automatic speaker verification system performance was investigated. The analyzed system was based on MAP-EM-GMM modelling methods. Four various speech codecs of H.323 standard were investigated with special emphasis placed on the packet loss phenomenon and various packet loss concealment techniques.
    Źródło:
    Archives of Acoustics; 2015, 40, 3; 407-417
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Tracedump : a novel single application IP packet sniffer
    Tracedump : nowatorskie narzędzie typu sniffer pozwalające na zapis ruchu IP pojedynczej aplikacji
    Autorzy:
    Foremski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/375815.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    computer networks
    traffic monitoring
    traffic classification
    ptrace
    code injection
    Linux
    Opis:
    The article introduces a novel Internet diagnosis utility - an open source IP packet sniffer which captures TCP and UDP packets sent and received by a single Linux process only. Preliminary evaluation results are presented. The utility can be applied in the field of IP traffic classification.
    Artykuł prezentuje nowatorskie narzędzie open source służące do analizy ruchu internetowego należącego wyłacznie do jednej aplikacji działającej pod kontrola˛ systemu operacyjnego Linux. Program pozwala na zapis w postaci pliku PCAP wszystkich pakietów protokołów TCP i UDP, które zostały odebrane i wysłane przez wybraną aplikację w dowolnym momencie jej działania. W szczególności wynikowy plik PCAP zawiera wszystkie wykonane zapytania DNS. Implementacja narzędzia tego typu jest problematyczna, gdyż system Linux nie dostarcza mechanizmów śledzenia ruchu IP, które pozwalałyby na wystarczające ograniczenie zakresu monitorowanych zasobów w systemie. Z tego powodu w programie tracedump zostały zastosowane zaawansowane funkcje systemu Linux - wywołanie systemowe ptrace(2), wstrzykiwanie kodu maszynowego oraz filtry gniazd sieciowych BPF. Architektura programu oparta jest o 3 wątki - wątek śledzący otwierane porty TCP i UDP, wątek przechwytujący i filtrujący ruch IP w systemie oraz wątek wykrywający zakończone połączenia. Ponadto w artykule w sposób skrócony przedstawiono przykład praktycznego zastosowania narzędzia w celu oceny narzutu protokołu BitTorrent w sytuacji pobierania obrazu płyty CD z Internetu.
    Źródło:
    Theoretical and Applied Informatics; 2012, 24, 1; 23-31
    1896-5334
    Pojawia się w:
    Theoretical and Applied Informatics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The influence of the data packet size on positioning parameters of UWB system for the purpose of tagging smart city infrastructure
    Autorzy:
    Hanzel, K.
    Paszek, K.
    Grzechca, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/200391.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    UWB
    positioning
    V2I
    smart city
    infrastructure
    Opis:
    The paper presents a concept of the vehicle/road infrastructure in vehicle-to-infrastructure (V2I) communication for tagging and informing vehicles about the surrounded environment. A frame analysis and the influence of the data packet size on Ultra-wideband (UWB) were investigated. The authors have determined the distance that could be traveled by a vehicle at the given speed in relation to the amount of data that has to be transmitted during the ranging procedure. The authors propose a data frame format (using the IEEE 802.15.4a protocol) for coding/encoding the information about the road infrastructure efficiently during the positioning procedure. It affects to minimum the time that is required to exchange messages during the ranging and communication process. The whole system is an efficient and reliable element that enhances/extends the existing components of advanced driver-assistance systems (ADAS), which will facilitate validation of the information obtained from devices such as lidar, radar or video. The impact of the transmitted payload to the distance traveled by car opens the door to future research on the possibility of implementing efficient vehicle-to-vehicle (V2V) communication for autonomous driving or and other smart city solutions.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 857-868
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The choice of optimal 3-rd order polynomial packet dropping function for NLRED in the presence of self-similar traffic
    Autorzy:
    Domańska, J.
    Augustyn, D.
    Domański, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/201691.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    self-similarity
    active queue management
    non-linear RED
    dropping packets
    Opis:
    Algorithms of queue management in IP routers determine which packet should be deleted when necessary. The article investigates the influence of the self-similarity on the optimal packet rejection probability function in a special case of NLRED queues. This paper describes another approach to the non-linear packet dropping function. We propose to use the solutions based on the polynomials with degree equals to 3. The process of obtaining the optimal dropping packets function has been presented. Our researches were carried out using the Discrete Event Simulator OMNET++. The AQM model was early verified using the discrete-time Markov chain. The obtained results show that the traffic characteristic has the great impact on the network node behavior, but self-similarity of network traffic has no influence on the choosing of the optimal dropping packet function.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 4; 779-786
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on islanding detection of solar distributed generation based on best wavelet packet and neural network
    Autorzy:
    Xi, Zhongmei
    Zhao, Faqi
    Zhao, Xiangyang
    Peng, Hong
    Xi, Chuanxin
    Powiązania:
    https://bibliotekanauki.pl/articles/141157.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    active distribution network
    islanding detection
    neural network
    solar distributed generation
    wavelet pocket transform
    Opis:
    The active distribution network (ADN) represents the future development of distribution networks, whether the islanding phenomenon occurs or not determines the control strategy adopted by the ADN. The best wavelet packet has a better time-frequency characteristic than traditional wavelet analysis in the different signal processing, because it can extract better and more information from the signal effectively. Based on wavelet packet energy and the neural network, the islanding phenomenon of the ADN can be detected. Firstly, the wavelet packet is used to decompose current and voltage signals of the public coupling point between the distributed photovoltaic (PV) system and power grid, and calculate the energy value of each decomposed frequency band. Secondly, the network is trained using the constructed energy characteristic matrix as a neural network learning sample. At last, in order to achieve the function of identification for islanding detection, lots of samples are trained in the neural network. Based on the actual circumstance of PV operation in the ADN, the MATLAB/SIMULINK simulation model of the ADN is established. After the simulation, there are good output results, which show that the method has the characteristics of high identification accuracy and strong generalization ability.
    Źródło:
    Archives of Electrical Engineering; 2019, 68, 4; 703-717
    1427-4221
    2300-2506
    Pojawia się w:
    Archives of Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    City Backbone Network Traffic Forecasting
    Autorzy:
    Serikov, Tansaule
    Zhetpisbayeva, Ainur
    Аkhmediyarova, Аinur
    Mirzakulova, Sharafat
    Aigerim, Kismanova
    Tolegenova, Aray
    Wójcik, Waldemar
    Powiązania:
    https://bibliotekanauki.pl/articles/1844529.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    time series
    packet intensity
    Dickey-Fuller test
    Kwiatkowski-Phillips-Perron-Shin-Schmitt test
    forecasting
    integrated moving average autoregression model
    Opis:
    The work considers a one-dimensional time series protocol packet intensity, measured on the city backbone network. The intensity of the series is uneven. Scattering diagrams are constructed. The Dickie Fuller test and Kwiatkowski-Phillips Perron-Shin-Schmitt test were applied to determine the initial series to the class of stationary or non-stationary series. Both tests confirmed the involvement of the original series in the class of differential stationary. Based on the Dickie Fuller test and Private autocorrelation function graphs, the Integrated Moving Average Autoregression Model model is created. The results of forecasting network traffic showed the adequacy of the selected model.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 3; 319-324
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of The Effectiveness of Online Electronic Learning System Using Data Traffic Network Performance Management to Succeed Merdeka Learning : Merdeka Campus During the Covid-19 Pandemic
    Autorzy:
    Budiyanto, Setiyo
    Silalahi, Lukman Medriavin
    Silaban, Freddy Artadima
    Sitorus, Henry Binsar Hamonangan
    Rochendi, Agus Dendi
    Ismail, Mochamad Furqon
    Powiązania:
    https://bibliotekanauki.pl/articles/2055225.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    delay
    throughput
    packet loss
    education
    Opis:
    The problems in the Covid-19 pandemic have a major influence on the field of education with the use of technology to support the teaching and learning process to facilitate students who do home learning activities. The proposed concept of freedom of learning is a more comprehensive concept such as portfolio and assignments such as group assignments, writings, and so on that are done in full online by adding additional features such as Teaching and Learning Activities and Assessment through information technology media. (E-Learning / Learning Management System). The method proposed in this research is the Peer Connection Queue (PCQ) method on mikrotik operating systems. PCQ method is a program to manage network traffic in Quality of Services (QoS). Bandwidth management methods. The hypothesis formulated is to create bandwidth management with PCQ so that bandwidth sharing is automatically and evenly distributed to multi clients. Therefore, in this research finally formulated into the goal of E-Learning effectiveness analysis using bandwidth management analysis method, which will be measured and analyzed in this research is throughput, delay, jitter, and packet loss. So that the final result of this research obtained the feasibility of the teaching and learning process that is carried out effectively.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 4; 595--601
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-14 z 14

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