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In this paper, we focus on the problem of energy-efficient power allocation for secure transmission in massive multiple-input multiple-output (MIMO) systems, where an active multi-antennas eavesdropper sends pilot signals as that of destination receiver to transmitter simultaneously in the uplink training phase. Our aim is to maximize the energy efficiency (EE) of the system by considering the power...
This paper describes a fast interconnect scheme and the optimized circuit for FPGA programmable interconnects to achieve great performance and static power reduction. The fast interconnect scheme including fast connection between logic blocks and optimization of wire segments are proposed to reduce path delay and increase connectivity. Furthermore, non-minimum channel length technology is applied...
Pseudo-high-order group-velocity-locked vector dissipative soliton (GVLVDS) from a normal-dispersion fiber laser is achieved. It has a two-humped temporal profile along one polarization direction, while single-humped along the orthogonal polarization. The contribution of the strong frequency chirp for the structure is first experimentally demonstrated.
Microseismic monitoring has been a key technology in the exploitation of unconventional reservoirs. Numerical simulation of various types of microseismic sources is the foundation for source location and source mechanism inversion. In this paper, equations of equivalent body forces with stress components and particle velocity components are derived, then they are included in the finite difference...
In this paper we present a kind of phononic crystals(PCs) with magnetorheological fluids(MRFs) and its band gaps can be tuned by the magnetic field for the reason that modulus of MRFs can be changed by means of the magnetic field. Finite element method and experimental method are applied to study the propagation of acoustic waves in the PC. Firstly, we obtain the variety of the shear storage modulus...
The dynamics of dissipative solitons (DSs) are explored in a high repetition rate normal-dispersion erbium-doped fiber laser for the first time. Despite of the high fundamental repetition rate of 129 MHz and thus the low pulse energy, a DS train with a dechirped pulse width of 418 fs, period-doubling of single and dual DSs, as well as 258 MHz 2nd-order harmonic mode-locking of DSs can be observed...
Combined TL AC direct converter with input and output sharing the same ground combined by two AC direct converters is presented in the paper. The operation principle in steady state of the proposed converter is investigated. Voltage-united control strategy for the converter is also presented and analyzed. And key parameter design is given. The circuit topology and the feasibility of the voltage-united...
Television industry lately started to provide viewers with ultra-HD (UHD) TV programs, which considerably increases the transmission bandwidth requirements, in particular in satellite TV broadcasting systems. This paper proposes a hybrid broadcast & multicast channel transmission scheme for the next generation satellite TV systems, which according to the simulation results can effectively decrease...
With the fast development of Social Networking Services, there has been increasingly vast amount of information published by massive network users. Given this information explosion, how to analyze the quality of User Generated Contents (UGC) automatically becomes a challenging task for researchers. To solve the problem, we need to build an effective UGC quality evaluation system. In the light of our...
Along with popular of academic social media, academic blogs are one of the user generated academic information that can be annotated using social tags for user's information retrieval and organization. In order to improve the existing social tagging system to satisfy the users' needs, users' tagging behavior need to be understood. However, there is no researches on characterizing user tagging behaviors...
This paper presents the state of art research progress on Chinese single document summarization. Our method utilizes hLDA(hierarchical Latent Dirichlet Allocation) algorithm to model the documents first. A new feature is proposed from the hLDA modeling results, which can reflect some semantic information. Then it combines different traditional features to extract summary sentences from the documents...
Dual Energy Computed Tomography (DECT) has recently gained significantly research interest because of its ability of object separation, contrast enhancement, artifact reduction and material composition assessment. Aiming for the nonlinear projection decomposition problem in DECT image reconstruction, a hybrid projection decomposition algorithm is proposed with combination of iterative method and isotransmission...
Fuzzy time series has been utilized to solve the problem of time series prediction in diverse fields. In the fuzzy time series prediction, the fuzzy logical relations have great impacts on the prediction performance. To obtain the exact and complex fuzzy logical relations between the fuzzy variables for the time series prediction, we propose to extract them from the historical data and model them...
This paper aims to provide a model for evaluate the quality of diesel engine using radial basis function(RBF) neural network based on the trial run data. Quality evaluation in the manufacturing process is the key link to improve the quality of the diesel engine. However, it has not been fully researched especially that the quality evaluation of diesel engine based on the trial run data. Therefore,...
Vehicle identification is one of the frequently studied problems in video surveillance. Commonly, identifying an unknown vehicle object requires a large amount of training instances. Unfortunately, in the large parking scenario, the cost may be prohibitively expensive because of the finitely waiting time from the car owners. In this paper, we show that it is possible to identify a registered vehicle...
The problem of judging direction of the road is a tough problem in navigation system. This paper presents a image-based approach to address the direction problem in the road using Support Vector Machine(SVM) and Bayesian rules. Established localization or orientation algorithm is infeasible in the direction problem due to its time and space complexity. SVM is employed as an effective model for classification...
The purpose of this study is to investigate the relations among organizational learning, supply chain collaboration and service innovation performance. We use Structure Equation Model and Amos 20.0 to test the influence among constructs. Through an empirical survey of 243 samples in South China, the results show that: (1) Different dimensions of organizational learning have different effects on different...
In view of the deficiency of the existing risk assessment method for subway operation, the new risk assessment method based on cloud model is studied. Firstly, risk assessment indicator system of the subway operation is improved from five aspects: safety management, operating management, equipment and facilities, environment factors and occupational adaptability. Secondly, three key problems are considered:...
Automatic facial expression recognition (FER) plays an important role in many fields. However, most existing FER techniques are devoted to the tasks in the constrained conditions, which are different from actual emotions. To simulate the spontaneous expression, the number of samples in acted databases is usually small, which limits the ability of facial expression classification. In this paper, a...
The paper addresses the delay-dependent stability problem for linear systems with time-varying delay. Novel delay-dependent stability criteria in terms of linear matrix inequalities for systems with state time-varying delay are derived by the newly proposed augmented Lyapunov-Krasovski (L-K) functional. A matrix-type quadratic convex combination approach is introduced to prove the negative definiteness...
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