Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The transition effect ring oscillator (TERO) based true random number generator (TRNG) was proposed by Varchola and Drutarovsky in 2010. There were several stochastic models for this advanced TRNG based on ring oscillator. This paper proposed an improved TERO based TRNG and implements both on Altera Cyclone series FPGA platform and on a 0.13um CMOS ASIC process. FPGA experimental results show that...
In the study of complex networks, identifying important nodes in propagation contributes a lot to the control of diffusion. Since real-world networks are often closely interacted, it seems promising to generalize the ranking algorithms of nodes to multi-layer networks. In this paper, the iterative resource allocation method is extended to interconnected networks for the identification of influential...
In this paper, the critical point that is a coupling strength at which the model changes from desynchronization to synchronization is solved by the mean field method theoretically and the phenomenon that with the increase of the mean value in the Gaussian distribution, the corresponding critical point is reduced is explained. Based on simulation and the theoretical results, the threshold of the mean...
Spectral clustering is one of the most effective methods of data mining, in which the adjacency matrix is constructed by using the similarity matrix. In this paper, to extend spectral clustering method for uncertain data clustering, we propose a new spectral clustering method based on JS-divergence. In the proposed method, the JS-divergence is used to construct the adjacency matrix in the spectral...
The product quality of rice whitening process has largely dependent on operation experiences, which is a key problem for this type of food processing systems that might lead to variability in the final product quality. An intelligent automatic control system has been proposed for rice whitening machines based on expert database system. The new control system replaces the traditional mechanical actuators...
In this paper, based on the PEA equipment in our laboratory, the attenuation and dispersion of charge acoustic signals in the flat XLPE samples with the different thicknesses and under the different nanosecond pulse widths were studied through experiments and simulations. Then, through the extraction and extension of attenuation and dispersion coefficients of acoustic wave under different pulse frequencies,...
This paper investigates the region reaching control problem of networked multi-robot systems modeled by Lagrangian dynamics. The primary objective is to develop the concept of region reaching control for single robot for the study of networked multi-robot systems under directed topology graph. The distributed region reaching control protocols for such networked multi-robot systems are first proposed,...
Different from current researches on Flickr group recommendation approaches that recommend groups to either users or images, this work proposes a unified framework that recommends groups to both users and images. Four types of entities in the Flickr system (users, tags, images, and groups) are integrated into a tetradic model, and then we uses tetradic decomposition to discover the latent semantic...
Clustering is an important task in data mining area, especially in the area of continuous stream of data, i.e. ?data stream?. However, some characteristic of this kind of data is neglected during the existing clustering approaches. The similarity in temporal dimension between entities is underestimated. Forgetting mechanism is adopted to remove the old patterns to save computation resources. However,...
Uncertain data clustering is one significant research in data mining. Many similarity measurements of uncertain objects are proposed. Traditional clustering methods can be extended with these new similarity measurements. In this paper, we propose a new fuzzy c-medoids method for uncertain data clustering, named UFC-medoids. The JS-divergence is used as the similarity measurement between uncertain...
Broad Learning System [1] proposed recently demonstrates efficient and effective learning capability. This model is also proved to be suitable for incremental learning algorithms by taking the advantages of random vector flat neural networks. In this paper, a modified BLS structure based on the K-means feature extraction is developed. Compared with the original broad learning system, acceptable performance...
This paper is mainly concerned with the issues of two kinds of synchronization for a class of hyperchaotic systems, i.e., complete synchronization, and coexistence of synchronization and anti-synchronization. Two adaptive control laws with suitable state feedbacks are designed to realize the complete synchronization, and coexistence of synchronization and anti-synchronization for such hyperchaotic...
A tunable multiband FDD system is presented in this paper. For the first time, a tunable evanescent-mode cavity diplexer and a 65 nm CMOS self-interference-cancelling receiver are combined to provide high Tx-to-Rx isolation required in a multiband FDD system. Self-interference-cancellation reduces the required filter order for a given Tx-to-Rx isolation, reducing the loss associated with the tunable...
This demonstration presents a practical real-time full-duplex wireless link consisting of two full-duplex transceivers. Our prototyped full-duplex transceiver contains a custom-designed RF self-interference canceller and a National Instruments (NI) Universal Software Radio Peripheral (USRP). The discrete-component-based RF self-interference canceller emulates a compact RFIC implementation, which uses...
For the unstable output power of off-grid wind power system, Extensive use of pulsating power loads and the time-varying of user's demand, single battery energy storage have been unable to meet the demand. A charge discharge control strategy is proposed based on the research on the charging and discharging of battery-ultra-capacitor hybrid energy storage system combined with some characteristics of...
Many remote sensing applications require a high-resolution hyperspectral image. However, resolutions of most hyperspectral imagers are limited to tens of meters. Existing resolution enhancement techniques either acquire additional multispectral band images or use a pan band image. The former poses hardware challenges, whereas the latter has limited performance. In this paper, we present a new resolution...
A fundamental challenge of full-duplex (FD) wireless [1] is the implementation of low-cost, small-form-factor, integrated shared-antenna (ANT) interfaces with low loss, low noise, high TX-RX isolation, and large TX power handling. Providing more TX-RX isolation in the ANT interface that is robust to environmental variations lowers the self-interference cancellation (SIC) and dynamic range required...
Digital power amplifiers and transmitters have drawn significant interest in the recent past due to their reconfigurability, compatibility with CMOS technology scaling and DSP, and potential for automated design synthesis [1–5]. While significant progress has been made in achieving moderate output power levels in CMOS, wideband modulation, and high efficiency under back-off, out-of-band emissions...
Detection of protein complexes and functional modules plays a crucial role for strengthening the comprehension of cellular organization and biological functions on the dynamic protein-protein interaction network. In this article, we put forward a new strategy to identify temporal protein complexes. Integrating time-course gene expression data into static protein interaction data, a series of time-sequenced...
This paper summarizes our research results on local active noise reduction. Our aim is to create a small quiet zone for astronauts in noisy spacecraft environments. A novel approach is proposed. Extensive simulations and preliminary real-time experiments demonstrate the efficacy of the proposed system.
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.