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Current methods that use hyperspectral remote sensing imagery in the detection and extraction of marine oil spills are quite popular. Because the mixed pixels exist broadly in the hyperspectral images, the automatic and accurate end member extraction technology plays most essential role in the hyperspectral unmixing. This paper proposed a data field-spectral preprocessing module prior to end member...
In the era of Big Data, more data can be potentially found in transit at any given moment than in storage. In this paper we discuss the feasibility of applying certain forms of processing on the wire, i.e., while data is in flight through the network. In a similar manner to cybersecurity processes and exploiting software defined networking concepts, we seek to design a framework for Analysis on the...
Influence maximization is an optimization problem that aims at finding a small set of nodes as seed nodes to maximize the spread of influence in a social network. In this paper, we introduce a new technique called Non-backtracking Random Walk into the influence maximization problem. An optimized algorithm, called NBRW, is devised through sampling nodes when applying restricted non-backtracking walk...
Researches on the application of sets increasingly attract many scholars, like encryption technique, experimental design, algorithm improving, program design, artificial intelligence, the security of image processing and so on. Given that, studies on set theory seem more necessary. In this paper, we discuss a kind of set named anti-average set, which is derived from the graceful labellings of graphs...
Channel coding for the next generation communication system needs to support higher data throughput and transmission rate. Due to the inherent parallel feature, low density parity check (LDPC) codes comply with the target. In this paper, we propose a complete channel coding scheme based on structured LDPC codes. In our design, the correlation among different parity check matrices for different code...
Traditional handover algorithms are based on received signal strength indicator (RSSI) and traffic load intensity in orthogonal frequency division multiple access (OFDMA) systems, in order to guarantee all UEs' Quality of Service (QoS) and handover success ratio, a transceiver is activated even if there is only one low date rate activated user in its coverage area. In this paper, we propose an energy...
Owning to the advantage of an increase in spectral efficiency by reducing the transmitted pilot tones, compressed sensing has been widely applied to pilot-aided sparse channel estimation in OFDM systems. In this paper, we focus on increasing the accuracy of channel estimation and propose a novel sparse channel estimation method that takes the effect of the additive noise into consideration. In the...
A new method is proposed in this paper for SVC streams transmission over IEEE 802.11e network. Our method combines the concept of SVC Quality Layers (QL), which provides good extraction of H.264/SVC streams in adaption, with an adaptive cross-layer significance-based early detection (SBED) algorithm to improve the video quality in wireless network. Experimental results show that the method achieves...
Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
In this paper we propose a denoising method under the powerful framework-non local means (NL-means), in conjunction with regression analysis. First, the conception and development of NL-means is proposed. Second, an image important area map (IIAM) is calculated for the protection of edge and structure regions during denoising. Therefore, improved version of NL-means is carried out, which uses a novel...
Evolutionary Monte Carlo (EMC) algorithm is an effective and powerful method to sample complicated distributions. Short adjacent repeats identification problem (SARIP), i.e., searching for the common sequence pattern in multiple DNA sequences, is considered as one of the key challenges in the field of bioinformatics. A recently proposed Markov chain Monte Carlo (MCMC) algorithm has demonstrated its...
A new cross-layer architecture is employed in this paper for the transmission of scalable H.264 video over IEEE 802.11e networks. The architecture enables flexible using of access categories (ACs) for video transmitting based on information of both application and MAC layer. A novel significance-based early detection (SBED) algorithm is proposed, which maximizes the transmission of significant SVC...
Invasive weed optimization (IWO), which is inspired from the invasive habits of growth of weeds in nature, is a population-based intelligence algorithm. In this paper, the IWO is embedded into cultural framework as a population space of a cultural algorithm (CA), called cultural IWO. CA is mechanisms that incorporate generic knowledge sources obtained during the evolutionary process, which increases...
DNA tile self-assembly is a promising paradigm for nanotechnology. Recently, many researches show that computation by DNA tile self-assembly maybe scalable. In this paper, we propose the algorithm for elliptic curve Diffie-Hellman key exchange based on DNA tile self-assembly. First we give the DNA tile self-assembly model to compute the scalar multiplication, then we can successfully implement the...
To overcome the defects of precocity and the time for initial population building is too long in traditional augment ant colony algorithm for mobile robot global path planning, an improved augment ant colony algorithm is presented in this paper. The operations of crossover and mutation of genetic algorithm (GA) are used in augment ant colony optimization, and the heuristic probability function is...
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