The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Extreme weather recognition using GoogLeNet can achieve excellent performance, which is far superior to the conventional methods. However, the complexity of GoogLeNet is relatively high. Furthermore, for the small scale data, GoogLeNet usually cannot achieve the performance as the large scale data does. In this paper, a novel dual fine-tuning strategy is proposed to train the GoogLeNet model. Firstly,...
Pedestrian detection for surveillance video, which is the basic of person re-identification, aims to capture the pedestrians in the monitors. However, the existing pedestrian detection algorithms still have two issues: (1) The recall and precision are not applicable for complicated scenes; (2) It is limited for processing the high-resolution video in real-time. Therefore, pedestrian detection algorithm...
In this paper, the economic viability of using behind-the-meter battery energy storage (BMBES) for time-of-use (ToU) energy arbitrage and demand charge (DC) reduction is compared. The study focuses on residential applications where the BMBES is installed at end-users premises and used for daily cycling under ToU and DC plans for saving on monthly electricity bills. Under the current U.S. electricity...
Salient object detection has been greatly boosted thanks to the deep convolutional neural networks (CNN), especially fully convolutional neural networks (FCN). Nowadays, it is possible to train an end-to-end deep model for salient object detection. However, the diverse scales of salient objects still pose major challenges for these state-of-the-art methods. In this paper, we investigate how different...
The 246 nm AlN-delta-GaN quantum well ultraviolet light-emitting diode was proposed and realized experimentally, with the dominant transverse electric-polarized emission been verified by both the k·p simulation and the room-temperature polarization-dependent electroluminescence measurements.
We experimentally demonstrate an effective hybrid equalizer with FFE and truncated Volterra filter for a 50-Gb/s PAM-4 over 50-km SSMF in a DML-based IM/DD system. The results show significant computational complexity savings without performance degradation.
This paper presents a digital repetitive control design on the basis of attracting law (AL). A control law, together with the disturbance compensation, can be derived by applying the AL which includes a measure of disturbance-rejection. Chattering is alleviated by a sign-function continuous approximation technique. To characterize the closed-loop performance, the steady-state error band, absolute...
This article examines the volatility spillover effects among USA and five East Asian stock markets using multivariate stochastic volatility with regime-switching model. The five East Asian stock markets are China, Hong Kong, Japan, Korea and Singapore respectively. We choose the most representative stock index in each area. Our empirical analysis of these indices daily data suggest that multivariate...
The photoelectric conversion efficiency of photovoltaic cells is mainly affected by two factors, two factors are the operating temperature of the photovoltaic cell and the irradiance of the sun. In order to improve the photoelectric conversion efficiency of photovoltaic cells, combining with the two factors that affect photoelectric conversion efficiency of photovoltaic cells and the merits and demerits...
This paper investigates the problem of finite-time extended dissipative analysis for a class of switched delay systems. By using average dwell-time and linear matrix inequality technique, sufficient conditions are proposed to guarantee the switched delay system is finite-time bounded and has finitetime extended dissipative performance, where the H∞, L2 — L∞, Passivity and (Q, S, Ä)-dissipativity performance...
Pt nanoflower with excellent catalytic activity towards H2O2 was deposited on the surface of a screen-printed carbon electrode using potentiostatic technique to fabricate a disposable sensor for point-of-care glucose testing. Glucose oxidase was embedded via Nafion film. Field Emission Scanning Electron Microscopy was used to characterize the microstructure and morphology of the enzymatic electrodes...
In cognitive radio network (CRN), secondary users (SUs) suffer from the spectrum sensing data falsification (SSDF) attack launched by malicious users (MUs). To deal with SSDF attack, one of the typical artificial neural networks (ANN): self-organizing map (SOM) neural network is recommended. SOM network possesses the ability of classifying the SUs into categories with different frequency of occurrence...
With the requirement of real-time and reliability on monitoring power transmission lines, this paper proposes a cooperative communication protocol with network coding in long-chain wireless sensor networks (WSN). The protocol makes full use of channel broadcast characteristics and cooperative communication. It applies the classical butterfly structure of network coding among the successive three hops...
With the emerging of the fifth generation (5G) mobile communication systems, millimeter wave transmissions are believed to be a promising solution for vehicular networks, especially in vehicle to vehicle (V2V) communications. In millimeter wave V2V communications, different vehicular networking services have different quality requirements for V2V multi-hop links. To evaluate the quality of different...
An Ad-hoc mobile cloud can be constructed upon local devices, where devices work together and share resources. However, the deployment of Ad-hoc mobile cloud is hindered by the limitation of mobile devices, such as storage capacities and relatively short battery lives. To overcome such problem, this paper proposes a task assignment algorithm based on particle swarm optimization and simulated annealing...
We propose and experimentally validate a compact and flexible structure of optical signal processing employing a polarization-dependent phase modulator (PM) based optoelectronic oscillator (OEO). The key point of the proposed design is to make good use of the polarization-dependent feature of the LiNbO3 crystal of the PM to realize special phase modulation to intensity modulation conversion. The phase...
Electrolytic Capacitor (E-cap) is one of the lifetime bottlenecks in power electronic converters. In the last two decades, various active power decoupling circuits have been proposed to improve the reliability of the DC link by eliminating the DC-link E-caps. However, additional active devices could change the stresses of the existing converters, whether the system reliability is improving or not...
A distributed energy management for a photovoltaic (PV) based electric vehicles (EVs) charging station is proposed and discussed in this paper. The PV-based charging station and EV owners are modeled as independent players with different preferences where the preferences of the players are described through linear and logarithmic functions. Then, a noncooperative power distribution game is set up...
The minimum mean square error (MMSE) algorithm can achieve the near-optimal detection performance in Massive MIMO system. However, it involves complicated matrix inversion. In this paper, a Chebyshev symmetrical successive over-relaxation iteration algorithm (CSSOR) based on the characteristic of channel hardening in massive MIMO system is proposed to avoid matrix inversion, whose the computational...
This paper mainly focuses on developing a joint cloud and wireless resource allocation algorithm based on evolutionary game (JRA-EG) considering mobile terminals' energy consumption and time delay as well as monetary cost in mobile edge computing environment. The mobile terminals (MTs) in different service areas form different populations. In addition, the competition among populations of MTs in different...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.