Minnan Normal University

Normal, China

Minnan Normal University

Normal, China
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Li S.,Minnan Normal University | Li S.,Fujian Normal University | Chen D.,Minnan Normal University | Zheng F.,Minnan Normal University | And 4 more authors.
Advanced Functional Materials | Year: 2014

Here, a new class of quantum dots, that is, sulphur quantum dots (SQDs), which are synthesized by the phase interfacial reaction, is reported. The prepared SQDs are monodisperse with a narrow size distribution (average 1.6 nm in size), excellent aqueous dispersibility, ultrahigh photostability, and lowly toxicity. Because of abundant oxidized sulphur species on the surface of SQDs, the incorporation of TiO2 with SQDs results in a synergistic effect for the TiO2-based photocatalysts offering more effective environmental applications. It is demonstrated that SQDs-TiO2 nanocomposite can enhance the photocatalytic activity of producing hydrogen (enhancement factor for 191) in methanol-water system. The SQDs also can used as fluorescent probe for highly selective quantitative detection Fe3+ in an aqueous solution contained various metal ions. © 2014 Wiley-VCH Verlag GmbH & Co. KGaA.

Liu S.,East China Normal University | Liu S.,Minnan Normal University | Liu M.,Shanghai JiaoTong University | Yang Z.,East China Normal University
2016 International Conference on Biometrics, ICB 2016 | Year: 2016

Latent fingerprints are the finger skin impressions left at the criminal scene unintentionally, which are important evidence for law enforcement agencies to identify criminals. Most of latent fingerprint images are of poor quality with unclear ridge structure and various non-fingerprint patterns. Segmentation is an important processing step to separate the fingerprint foreground from the background for more accurate and efficient feature extraction and identification. Traditional fingerprint segmentation methods are based on the information of gradients and local properties, which is sensitive to noise. This paper proposes a latent fingerprint segmentation algorithm based on linear density. First, a total variation (TV) image model is used to decompose a latent image into the cartoon and texture components. The texture component consisting of the latent fingerprint is used for further processing while the cartoon component is removed as noise. Second, we propose to detect a set of line segments from the texture image and compute the linear density map which can characterize the interleaved ridge and valley structure well. Finally, a segmentation mask is generated by thresholding the linear density map. The proposed method is tested on NIST SD27 latent fingerprint database. Experimental results and comparisons demonstrate the effectiveness of the proposed method. © 2016 IEEE.

Jiang S.,Xiamen University | Jiang S.,Trinity College Dublin | Lu H.,Xiamen University | Zhang Q.,Xiamen University | And 3 more authors.
Marine Pollution Bulletin | Year: 2015

As land-ocean interaction zones, mangrove systems receive substantial polycyclic aromatic hydrocarbons (PAHs) from sewage and combustion of fossil fuel. In this study, we investigated the relationship between dissolved inorganic nitrogen (DIN) availability and degradation rate of phenanthrene, a typical PAH compound, in mangrove plant-sediment systems, using Avicennia marina as a model plant. After 50. day incubation, phenanthrene removal ratios in sediments ranged from 53.8% to 97.2%. In non-rhizosphere sediment, increasing DIN accessibility increased microbial biomass and total microbial activity, while enhancements in population size of phenanthrene degradation bacteria (PDB) and phenanthrene degradation rates were insignificant. In contrast, the presence of excessive DIN in rhizosphere sediment resulted in a significantly large number of PDB, leading to a rapid dissipation rate of phenanthrene. The differences in degradation rates and abundances of degrader in sediment may be explained by the enhanced root activity due to the elevation in DIN accessibility. © 2015 Elsevier Ltd.

Deng L.,Chinese University of Hong Kong | Zhang W.,Minnan Normal University | Rui Y.,CAS Shanghai Advanced Research Institute | Chai Kiat Y.,Nanyang Technological University
EUCNC 2016 - European Conference on Networks and Communications | Year: 2016

Driven by green communications, energy efficiency (EE) has become a new important criterion for designing wireless communication systems. However, high EE often leads to low spectral efficiency (SE), which spurs the research on EE-SE tradeoff. In this paper, we focus on how to maximize the utility in physical layer for an uplink multi-user multiple-input multiple-output (MU-MIMO) system, where we will not only consider EE-SE tradeoff in a unified way, but also ensure user fairness. We first formulate the utility maximization problem, but it turns out to be non-convex. By exploiting the structure of this problem, we find a convexization procedure to convert the original non-convex problem into an equivalent convex problem, which has the same global optimum with the original problem. Then, we present a centralized algorithm to solve the utility maximization problem, but it requires the global information of all users. Thus we propose a primal-dual distributed algorithm which consumes a small amount of overhead. Furthermore, we have proved that the distributed algorithm can converge to the global optimum. Finally, the numerical results show that our approach can both capture user diversity for EE-SE tradeoff and ensure user fairness, and they also validate the effectiveness of our primal-dual distributed algorithm. © 2016 IEEE.

Zhang W.,Minnan Normal University | Deng L.,Chinese University of Hong Kong | Kiat Y.C.,Nanyang Technological University
IEEE Wireless Communications and Networking Conference, WCNC | Year: 2016

One important issue associated with spectrum management in heterogeneous cognitive radio network is: how to appropriately allocate the spectrum to the secondary senderdestination (S-D) pair for sensing and utilization. In this work, the authors investigate the spectrum allocation problem under a more practical scenario, taking the heterogeneous characteristics of both secondary S-D and PU channels into consideration. With the objective to maximize the achievable throughput for secondary S-D, we formulate the spectrum allocation problem as a linear integer optimization problem under spectrum availability constraint, spectrum span constraint and interference free constraint. This problem is NP-complete, and a recent result in theoretical computer science called randomized rounding algorithm with polynomial computational complexity is developed to find the ρ-Approximation solution. Evaluation results show that our proposed algorithm can achieve a close-To-optimal solution while keeping the complexity low. © 2016 IEEE.

Xiaowei L.,Minnan Normal University | Jianjun L.,Jiangxi Normal University
BioTechnology: An Indian Journal | Year: 2014

In order to solve some bottleneck problems such as slow countersign flow, inconvenient contract storage, high management costs in traditional contract, this paper defined the concept of digital contract from the two perspectives of technology and user experience. Analyzed the innovative features of digital contract which are different from the paper contract and the electronic contract. And then put forward the business architecture and system architecture of the digital contract countersign service platform oriented to supply chain market. Finally, discussed the key technologies for implementing the digital contract countersign service platform. © Trade Science Inc.

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