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.
Affordance learning in general, is to identify the purpose, use, and ways to interact with an object, based on information gained from observing the object. Most of the existing affordance learning approaches assume the object target has been cropped individually from images. However, the object could not be easily separated from others due to occlusion or noise. Actually, two or more neighboring...
In order to explore the mental retardation of patients with depression, the visual search paradigm was used in this study. The emotional expression (happy, sad) and neutral expression were used as interdependent or search targets in this paradigm. Subjects were asked to search the target face form a matrix containing 16 emotional faces after watching the target face. The measurement indices of the...
Depression detection using speech signal is becoming an attractive topic because it is fast, convenient and non-invasive. Many researches aimed at improving depression classification performance. This study investigated application of ensemble learners in depression detection and compared three speaking styles (interview, reading and picture description) in ensembles. A speech dataset collecting from...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
In this paper, matched-field localization with a single vector hydrophone is researched. In condition of ideal waveguide, the sound pressure field and vertical velocity were analyzed theoretically. The relationship between acoustic pressure field and vector field achieved that a vector hydrophone can be equivalent to vertical two element array with a certain vertical aperture. The depth of vector...
Islanding detection is an essential function of distributed grid-connected power generation systems, and an islanding detection method based on adaptive reactive power disturbance is proposed in this article. Importing the reactive power disturbance can make RLC loads generate the frequency shift when the power grid is disconnected for fault and the islanding will be detected. The reactive power disturbance...
In the part of geophysics researches, the method Double Beam Forming (DBF) was found for separating the surface waves from the seismic waves. According to one of the kernels of DBF : extraction of group velocity and phase velocity, this paper benefit from this idea and concentrate on the time delay estimation (TDE) which is one of the key techniques in the array signal processing. The sound velocity...
Blob detection and image denoising are fundamental, and sometimes related, tasks in computer vision. In this paper, we propose a blob reconstruction method using scale-invariant normalized unilateral second order Gaussian kernels. Unlike other blob detection methods, our method suppresses non-blob structures while also identifying blob parameters, i.e., position, prominence and scale, thereby facilitating...
Language models based on recurrent neural networks have dominated recent image caption generation tasks. In this paper, we introduce a language CNN model which is suitable for statistical language modeling tasks and shows competitive performance in image captioning. In contrast to previous models which predict next word based on one previous word and hidden state, our language CNN is fed with all...
The performance of router directly impacts the Network-on-Chip (NoC) performance. This paper focus on developing efficient microarchitecture of allocator in the router and proposed matrix-diagonal allocator with high matching quality and low packets latency. The allocator, taking advantage of the fact that each element in the diagonal doesn't share the same row or column, includes matrix-diagonal...
A robust nonlinear control strategy, based on back-stepping, is presented to adjust the dc-link voltage from the PV system and the current which is used to control the amount of injected active or reactive power into the grid. The control system is projected using an adaptive backstepping technique taking the unknown parameters into consideration. But many times, the problems of differential expansion...
A new topology of the energy router is proposed in this paper to achieve a richer power distribution scheme, which contains DC interface, DC energy storage, loads, photovoltaic power generation and other equipment. A power control algorithm based on droop control of the DC bus is proposed to solve the problem of frequent fluctuations of the power and unstable of the DC bus voltage caused by access...
Underwater target discrimination plays an important role in military defense and attack, this paper proceeds with the acoustic field wavenumber spectrum difference excitateded by the surface target and underwater target, a method of passive target classification based on mode energy difference characteristic of the wavenumber spectrum is proposed. Firstly, according to wavenumber integration acoustic...
Cloud computing data centers have become one of the most important infrastructures in the big-data era. When considering the security of data centers, distributed denial of service (DDoS) attacks are one of the most serious problems. Here we consider DDoS attacks leveraging TCP traffic, which are increasingly rampant but are difficult to detect. To detect DDoS attacks, we identify two attack modes:...
In cloud storage systems, the use of erasure coding results in high read latency and long recovery time when drive or node failure happens. In this paper, we design a parity independent array codes (PIT), a variation of STAR code, which is triple fault tolerant and nearly space-optimal, and also propose an efficient single-failure recovery scheme (PITR) for them to mitigate the problem. In addition,...
Automated valuation model (AVM) is a mathematical program to estimate the market value of real estates based on the analysis of locations, neighborhood characteristics, and relevant property characteristics. The most common AVMs em-ployed by the appraisal industry are based on multiple regression analysis. Other analytic tools such as statistical learning and fuzzy algorithms have become more popular...
This paper applies ultra-local models (also labeled intelligent PID) to Automatic Generation Control (AGC) for a Multi-Area power system in the presence of communication delay. The AGC model is built in Simulink/Matlab and co-simulated with Network Simulator 2 (NS2) through PiccSIM, a simulation platform for (wireless/wired) networked control systems. A careful comparison is made between the performance...
In recent years, many researchers take great interest on visible light communication (VLC), due to its rich spectrum resources, no electromagnetic interference, good confidentiality, etc. In the visible light communication system, the information is loaded into the LED, then the light is transmitted in the free space, and the detector receives the signal. As the result of the −3dB modulation bandwidth...
Reliability of GaN-based LEDs is attracting researchers to engage in actively. At present, evaluating the lifetime of GaN-based LEDs in a short testing duration is still open question. Thermal and humidity stresses are two main environmental stresses that LED products will suffer infield applications. At the level of devices, LEDs are non-sensitive to vibration. In order to evaluate the reliabilities...
This work develops a new iterative algorithm, which is called stochastic truncated amplitude flow (STAF), to recover an unknown signal × ∊ Rn from m "phaseless" quadratic equations of the form ψ1=|aτi x|, 1 ≤ i ≤ m. This problem is also known as phase retrieval, which is NP-hard in general. Building on an amplitude-based nonconvex least-squares formulation, STAF proceeds in two stages: s1)...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.