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Subitizing (i.e., instant judgement on the number) and detection of salient objects are human inborn abilities. These two tasks influence each other in the human visual system. In this paper, we delve into the complementarity of these two tasks. We propose a multi-task deep neural network with weight prediction for salient object detection, where the parameters of an adaptive weight layer are dynamically...
Image captioning has recently received much attention. Existing approaches, however, are limited to describing images with simple contextual information, which typically generate one sentence to describe each image with only a single contextual emphasis. In this paper, we address this limitation from a user perspective with a novel approach. Given some keywords as additional inputs, the proposed method...
Virtualization is a key technology in research fields such as cloud computing, big data and new networks. A lot of cloud computing platforms, data centers, intranets and test environments of networks developed in recent years all depend on virtualization. Virtualization technology has become a hot research focus in computer industry because of its flexibility and wide application. By analyzing the...
In order to overcome the defects of shuffled frog leaping algorithm (SFLA) such as slow searching speed in the late evolution and easily trapping into local extremum, an Opposition-based Chaos Shuffled Frog Leaping Algorithm (OCSFLA) was originally proposed in this paper. It utilized the opposition strategy to generate initial population, adopted a modified frog leaping updating formula, and combined...
3D city map has been well studied in recent years. Ground laser scanner or airborne lidar are often used to collect 3D information in traditional 3D city map generation methods. As these systems are specially designed, they are usually expensive and complicate for mass marketing. This paper proposes a simple and fast 3D city map generation method, which relies on image-based reconstruction algorithms...
Virtualization is one of the key technologies in the evolution of computer networks. Recently, many research institutes, universities and companies are building Cloud computing platforms or networked testbed environment based on virtualization technologies. The reliability of virtual networks has become a hot topic, which has been attracting significant attentions in the network research community...
Target detection is an important task in hyper-spectral image processing. Traditional methods usually impose a stringent assumption on the spectrum distribution of the background and targets, which cannot hold for all the practical situations. This problem can be avoided by sparsity-based method in which each test pixel is represented by a linear combination of a few samples from an overcomplete dictionary...
A novel tunnel recombination junction (TRJ) consisted of n type hydrogenated microcrystalline silicon oxide (n-µc-SiOx:H) layer and p type hydrogenated nanocrystalline silicon oxide (p-nc-SiOx:H) layer was proposed in hydrogenated amorphous silicon/microcrystalline silicon (a-Si:H/µc-Si:H) tandem solar cell. The absence of n-µc-Si:H compared to conventional n-µc-SiOx:H/n-µc-Si:H/p-nc-SiOx:H TRJ reduced...
Demand management has been one popular topic in supply chain management, but there is little attention on the demand forecasting in customized items. This study determines customized levels and proposes the ordering policies of standard and customized material, respectively. Furthermore, the model is tested to be reasonable using real demand data collected from a manufacturing firm in the last three...
Available network bandwidth is one of the important indicators for evaluating network performance. However, the measurement accuracy of many measurement tools is lack of effective evaluation under different network environments at present, resulting in the shortage of selection basis. This study constructed a scalable network measurement platform to analyze and evaluate the main network measurement...
The non-smooth problem for the semi-supervised support vector machine optimization model is studied. Since the objective function of the unstrained semi-supervised vector machine model is a non-smooth function. Most fast optimization algorithms can not be applied to solve the semi-supervised vector machine model. We propose a full smooth cubic spline function to approximate the symmetric hinge loss...
Wireless data rates are prodicted to increase 1000 fold by 2020 and likely go up to 10,000 times by 2025. To meet the explosive growth in traffic during the next fifteen years, significant improvement in spectral efficiency is required. One of the promising innovative technologies to meet the above requirements is the massive MIMO technology adopting in large-scale antenna array system. The MIMO channel...
Based on Hidden Markov Support Vector Machines (SVM-HMM) we present a novel dynamic fault diagnosis approach, in which the dynamic of chemical process is considered through augmenting each observation vector by using mean value and variance of the previous observations. Herein, SVM-HMM is a good method for dynamic continuous data which indentifies multiple kinds of faults with only one uniform discriminative...
In this paper, a random amplitude weighting approach is proposed to guarantee the security at physical layers for distributed wireless sensor networks. Each sensor estimates the channels by training symbols sending from the expected receiver. Then the collaborative sensors cooperate in transmission signals to the receiver with weightings. Weighting coefficients with random amplitudes and fixed phases...
The performance of a-Si:H/μc-Si:H tandem solar cell was improved by optimizing the a-Si:H top cell and μc-Si:H bottom cell, respectively. For the a-Si:H top cell, we focused on opto-electrical and structural properties of phosphorous-doped hydrogenated silicon (Si:H) films and their effect on the open circuit voltage (Voc). The experimental results indicated that when nanosized silicon crystalline...
In this paper, we consider a cognitive relay network, in which multiple pairs of secondary users (SUs) share the unlicensed spectrum by the overlay mode, and for each SU pair, the two ends exchange data via a common relay node that senses the spectrum and allocates the unused bandwidth. Here, we formulate the spectrum allocation problem as a multi-object auction and introduce the mechanisms of sequential...
In this paper, interference alignment (IA) achieved from one side is considered in the K-user constant multiple-input multiple-output (MIMO) interference channel (IC). Different from most existing algorithms which need alternating between the transmitter and receiver, our algorithm runs at transmitters only, thereby avoiding vast information exchanged between the transmitter and receiver. The essential...
Though thin film silicon has evolved into an important technology for photovoltaic industry, further increasing its conversion efficiency remains to be a key task. In this work, we report the progress we have made in developing compatible nanocrystalline Si (nc-Si) technology with our existing amorphous silicon germanium (a-SiGe) based multi-junction solar cell manufacturing lines. We have conducted...
Reverse Time Migration is a precise migration methods, however, RTM spends too long computer time which impedes its development. In the paper, the aim is to save the computer time based on analyzing the reason of it, and the Huffman coding is employed into RTM for saving the memory consumption which reduce the computer time. Marmousi model is used and the migration results illustrate that the method...
A new kind of fuzzy adaptive method is proposed to transfer the multi-objective function to single objective function under the same constraint conditions. Based on multiple dynamic programming models, an improved dynamic programming method with different step-length to the solution for an optimal distribution of generators in an electrical power plant has been developed. This method overcomes the...
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