Xidian University

About: Xidian University is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Antenna (radio) & Computer science. The organization has 32099 authors who have published 38961 publications receiving 431820 citations. The organization is also known as: University of Electronic Science and Technology at Xi'an & Xīān Diànzǐ Kējì Dàxué.

A memetic algorithm for enhancing the robustness of scale-free networks against malicious attacks

Abstract: The robustness of the infrastructure of various real-life systems, which can be represented by networks and manifests the scale-free property, is of great importance. Thus, in this paper, a new memetic algorithm (MA), which is a type of effective optimization method combining both global and local searches, is proposed to enhance the robustness of scale-free (RSF) networks against malicious attacks (MA) without changing the degree distribution. The proposed algorithm is abbreviated as MA–RSF MA . Especially, with the intrinsic properties of the problem of optimizing network structure in mind, a crossover operator which can perform global search and a local search operator are designed. In the experiments, both synthetic scale-free networks and real-world networks, like the EU power grid network and the real Internet at the level of autonomous system (AS), are used. MA–RSF MA shows a strong ability in searching for the most robust network structure, and clearly outperforms existing local search methods.

Interfacial Voids Trigger Carbon-Based, All-Inorganic CsPbIBr2 Perovskite Solar Cells with Photovoltage Exceeding 1.33 V

Abstract: A novel interface design is proposed for carbon-based, all-inorganic CsPbIBr2 perovskite solar cells (PSCs) by introducing interfacial voids between TiO2 electron transport layer and CsPbIBr2 absorber. Compared with the general interfacial engineering strategies, this design exempts any extra modification layer in final PSC. More importantly, the interfacial voids produced by thermal decomposition of 2-phenylethylammonium iodide trigger three beneficial effects. First, they promote the light scattering in CsPbIBr2 film and thereby boost absorption ability of the resulting CsPbIBr2 PSCs. Second, they suppress recombination of charge carriers and thus reduce dark saturation current density (J0) of the PSCs. Third, interfacial voids enlarge built-in potential (Vbi) of the PSCs, awarding increased driving force for dissociating photo-generated charge carriers. Consequently, the PSC yields the optimized efficiency of 10.20% coupled with an open-circuit voltage (Voc) of 1.338 V. The Voc achieved herein represents the best value among CsPbIBr2 PSCs reported earlier. Meanwhile, the non-encapsulated PSCs exhibit an excellent stability against light, thermal, and humidity stresses, since it remains ~ 97% or ~ 94% of its initial efficiency after being heated at 85 °C for 12 h or stored in ambient atmosphere with relative humidity of 30–40% for 60 days, respectively.

Compact CPW-fed printed monopole antenna with triple-band characteristics for WLAN/WiMAX applications

Abstract: A novel triple-band CPW-fed antenna for WLAN and WiMAX applications is proposed, which can obtain impedance bandwidths of 2.34–2.50, 3.07–3.82, and 5.13–5.89 GHz with reflection coefficient less than −10 dB. The proposed antenna has a rectangular ring and an S-shaped strip attached to the feedline, with a crooked U-shaped strip and three straight strips on the bottom layer. The antenna has been successfully simulated, fabricated and measured. The measured results, which agree well with the simulated ones, show good impedance matching, nearly omnidirectional radiation patterns, and stable gains.

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

Abstract: In this paper, we present a robust global approach for point cloud registration from uniformly sampled points. Based on eigenvalues and normals computed from multiple scales, we design fast descriptors to extract local structures of these points. The eigenvalue-based descriptor is effective at finding seed matches with low precision using nearest neighbor search. Generally, recovering the transformation from matches with low precision is rather challenging. Therefore, we introduce a mechanism named correspondence propagation to aggregate each seed match into a set of numerous matches. With these sets of matches, multiple transformations between point clouds are computed. A quality function formulated from distance errors is used to identify the best transformation and fulfill a coarse alignment of the point clouds. Finally, we refine the alignment result with the trimmed iterative closest point algorithm. The proposed approach can be applied to register point clouds with significant or limited overlaps and small or large transformations. More encouragingly, it is rather efficient and very robust to noise. A comparison to traditional descriptor-based methods and other global algorithms demonstrates the fine performance of the proposed approach. We also show its promising application in large-scale reconstruction with the scans of two real scenes. In addition, the proposed approach can be used to register low-resolution point clouds captured by Kinect as well.