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One of the most critical challenges for today's and future data-intensive and big-data problems is data storage and analysis. This paper first highlights some challenges of the new born Big Data paradigm and shows that the increase of the data size has already surpassed the capabilities of today's computation architectures suffering from the limited bandwidth, programmability overhead, energy inefficiency,...
Long short-term memory (LSTM) is a specific recurrent neural network (RNN) architecture that is designed to model temporal sequences and their long-range dependencies more accurately than conventional RNNs. In this paper, we propose to use deep bidirectional LSTM (BLSTM) for audio/visual modeling in our photo-real talking head system. An audio/visual database of a subject's talking is firstly recorded...
Heterogeneous cellular networks use small base stations, such as femtocells and WiFi APs, to offload traffic from macrocells. While network operators wish to globally balance the traffic, users may selfishly select the nearest base stations and make some base stations overcrowded. In this paper, we propose to use an auction-based algorithm — Femto-Matching, to achieve both load balancing among base...
In this paper, we propose a partial sequence matching based symbolic search (SS) method for the task of language independent query-by-example spoken term detection. One main drawback of conventional SS approach is the high miss rate for long queries. This is due to high variations in symbol representation of query and search audios, especially in language independent scenario. The successful matching...
This paper presents a deep neural network-conditional random field (DNN-CRF) system with multi-view features for sentence unit detection on English broadcast news. We proposed a set of multi-view features extracted from the acoustic, articulatory, and linguistic domains, and used them together in the DNN-CRF model to predict the sentence boundaries. We tested the accuracy of the multi-view features...
In this paper, we propose a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) and multiple kernel learning (MKL) based multi-modal affect recognition scheme (LSTM-MKL). It takes the LSTM-RNN advantage to model the long range dependencies between successive observations, and uses the MKL power to model the non-linear correlations between the inputs and outputs. For each of the affect dimensions...
An appropriate tool to generate real network traffic plays an important role in testing network system. Traditionally, such a tool relies on software solutions that copies data back and forth between different part of memory to capture or replay network traffic. In this paper, we propose an FPGA-centric approach using parallel logic, which can ensure high accuracy of time and high throughput. We first...
Polar codes can be used to achieve secrecy capacity of degraded wiretap channels. In this paper, we propose a feedback-based secrecy coding scheme using polar code over non-degraded wiretap channels. With the feedback architecture, the proposed secrecy coding scheme can significantly obtain a positive secrecy rate. Moreover, polar codes have low complexity of encoding and decoding, which is good for...
In this paper, the outage probability of the uplink is analyzed for a land mobile satellite (LMS) cooperative system, which consists of a satellite (the destination), a mobile terminal (the source) and a relay node on the ground. It is assumed that the source-satellite (S-D) link and the relay-satellite (R-D) link experience independent shadowed Rician fading, and the source-relay (S-R) link experiences...
Object tracking in complex backgrounds with dramatic appearance variations is a challenging problem in computer vision. We tackle this problem by a novel approach that incorporates a deep learning architecture with an on-line AdaBoost framework. Inspired by its multi-level feature learning ability, a stacked denoising autoencoder (SDAE) is used to learn multi-level feature descriptors from a set of...
P-type copper-based oxide thin films are fabricated by DC reactive sputtering of copper at room temperature (RT) and studied as a function of oxygen partial pressure (OPP). Cu2O crystalline phase is observed at 10% OPP and it changes to CuO when OPP increases to 15%. The crystallinity of the deposited films decreases sharply when OPP increases to ≥20%. The p-type conductivity of the deposited films...
The impacts of substrate heating scheme on the characteristics of amorphous indium-gallium-zinc-oxide (a-IGZO) TFTs fabricated on flexible PEN substrate are investigated. For the a-IGZO TFTs fabrication, the substrate is heated during the a-IGZO deposition, pre-annealing in N2 is also conducted before passivation layer deposition, and post-annealing is done at last. The results show that the pre-annealing...
Virtual bass has drawn wide attention from consumer electronics manufacturers who demand good bass quality from small loundspeakers that have no low-frequency capability. Based on the missing fundamental phenomena, virtual bass aims to extend the low frequency bandwidth psychoacoustically by generating a series of harmonics in the mid-frequency range where loudspeakers can reproduce well. State-of-the-art...
Room reverberation and environment noise pose significant challenges for both speech enhancement and distant speech recognition (DSR). However, the rapid progresses achieved recently in the two fields are somehow ignored by each other. Thus it is important to examine the benefit of the state-of-the-art front-end speech enhancement can provide for a typical DSR system. In this paper, we employ a recently-reported...
The characteristics of the underwater acoustic communication, such as large propagation delay, high bit error rate and half-duplex, bring great challenges to traditional automatic repeat request (ARQ) schemes. In this paper, we propose two hybrid ARQ (HARQ) schemes, Type-I HARQ and Type-II HARQ, for the underwater acoustic system according to the specific characteristics of the underwater acoustic...
The data-link layer protocol is of great significance for the effectiveness and reliability of the transmission. In terrestrial wireless networks, there are three error control protocols in data-link layer, stop-wait ARQ, go-back-N ARQ and selective ARQ. Moreover, LT code, an advanced error control mechanism, is proposed and widely used in deep space communications or other erasure channels. However,...
We study the impact of the dynamics of the end-user playout buffer on the quality of experience (QoE) of the HTTP progressive video over wireless networks in this paper, especially the impact of the block size and the finite video length on the playback interruption during wireless video watching. The playout buffer at the end-user is formulated as a G/D/1 queue with arbitrary packet arrival and deterministic...
Energy saving in the Internet has become important since the massive new applications are increasing tremendously, along with their energy consumption. In this paper we propose an energy efficient algorithm based on multi-topology routing. Since traffic flow dynamically changed in actual IP network scenarios, the proposed algorithm has to adapt the network energy consumption to daily traffic scenarios...
Under limited maintenance resources, the optimal snow disposal operation to restore capacity of highway in time, is an important decision making problem of highway maintenance in winter. Based on fluidity of snow disposal teams, a time-space network model of snow disposal operation planning was designed, which can accommodate temporal and spatial moves of snow disposal teams. In term of time windows...
Due to their low frictional resistance, fast startup, low power consumption, and high mechanical efficiency, rolling bearings are widely used in medical apparatus, auto industry, mineral industry, aerospace industry, etc. It is necessary to monitor the running condition of them to prevent breakdown during their operation. This paper presents an approach for detecting the initial failure of rolling...
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