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Institution

Nanjing University of Science and Technology

EducationNanjing, China
About: Nanjing University of Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Control theory & Catalysis. The organization has 31581 authors who have published 36390 publications receiving 525474 citations. The organization is also known as: Nánjīng Lǐgōng Dàxué & Nánlǐgōng.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the distributed set-membership filtering problem is investigated for a class of discrete time-varying system with an event-based communication mechanism over sensor networks and a numerically attractive chaos algorithm is employed to solve the optimization problems.
Abstract: In this paper, the distributed set-membership filtering problem is investigated for a class of discrete time-varying system with an event-based communication mechanism over sensor networks. The system under consideration is subject to sector-bounded nonlinearity, unknown but bounded noises and sensor saturations. Each intelligent sensing node transmits the data to its neighbors only when certain triggering condition is violated. By means of a set of recursive matrix inequalities, sufficient conditions are derived for the existence of the desired distributed event-based filter which is capable of confining the system state in certain ellipsoidal regions centered at the estimates. Within the established theoretical framework, two additional optimization problems are formulated: one is to seek the minimal ellipsoids (in the sense of matrix trace) for the best filtering performance, and the other is to maximize the triggering threshold so as to reduce the triggering frequency with satisfactory filtering performance. A numerically attractive chaos algorithm is employed to solve the optimization problems. Finally, an illustrative example is presented to demonstrate the effectiveness and applicability of the proposed algorithm.

158 citations

Proceedings ArticleDOI
15 Jun 2019
TL;DR: Wang et al. as mentioned in this paper proposed a novel Pattern-Affinitive Propagation (PAP) framework to jointly predict depth, surface normal and semantic segmentation, which integrates cross-task affinity patterns to adapt to each task through the calculation on non-local relationships.
Abstract: In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) framework to jointly predict depth, surface normal and semantic segmentation. The motivation behind it comes from the statistic observation that pattern-affinitive pairs recur much frequently across different tasks as well as within a task. Thus, we can conduct two types of propagations, cross-task propagation and task-specific propagation, to adaptively diffuse those similar patterns. The former integrates cross-task affinity patterns to adapt to each task therein through the calculation on non-local relationships. Next the latter performs an iterative diffusion in the feature space so that the cross-task affinity patterns can be widely-spread within the task. Accordingly, the learning of each task can be regularized and boosted by the complementary task-level affinities. Extensive experiments demonstrate the effectiveness and the superiority of our method on the joint three tasks. Meanwhile, we achieve the state-of-the-art or competitive results on the three related datasets, NYUD-v2, SUN-RGBD and KITTI.

158 citations

Journal ArticleDOI
TL;DR: In this article, a planar magnet and 2D Dirac material based on first-principles calculations of arsenene and antimonene was reported. But the authors did not consider the effect of hydrogenation on the two-dimensional (2D) semiconductors.
Abstract: Arsenene and antimonene are predicted to have 249 and 228 eV band gaps, which have aroused intense interest in the two-dimensional (2D) semiconductors for nanoelectronic and optoelectronic devices Here, the hydrogenated arsenenes are reported to be planar magnet and 2D Dirac materials based on comprehensive first-principles calculations The semi-hydrogenated (SH) arsenene is found to be a quasi-planar magnet, while the fully hydrogenated (FH) arsenene is a planar Dirac material The buckling height of pristine arsenene is greatly decreased by the hydrogenation, resulting in a planar and relatively low-mass-density sheet The electronic structures of arsenene are also evidently altered after hydrogenating from wide-band-gap semiconductor to metallic material for SH arsenene, and then to Dirac material for FH arsenene The SH arsenene has an obvious magnetism, mainly contributed by the p orbital of the unsaturated As atom Such magnetic and Dirac materials modified by hydrogenation of arsenene may have potential applications in future optoelectronic and spintronic devices

158 citations

Journal ArticleDOI
TL;DR: A comprehensive overview on the recent progresses of carbon quantum dots with an emphasis on their applications in photocatalysis is presented in this paper, where strategies that have been employed to increase their photocatalytic activities are discussed in detail.
Abstract: Carbon quantum dots (CQDs), as a new class of carbon nanomaterials, have attracted considerable interest because of their low cost, low toxicity, chemical inertness, superiority in water solubility, ease of functionalization and simple synthetic routes. In recent years, the excellent light harvesting capability and unique photo-induced electron transfer ability have greatly inspired the perspectives of CQDs in photocatalysis applications. Herein, a comprehensive overview on the recent progresses of CQDs with an emphasis on their applications in photocatalysis is presented. Strategies that have been employed to increase their photocatalytic activities are discussed in detail, including doping, surface modulation, and design of composite structures. Moreover, some perspectives on the challenges and new directions are proposed to stimulate further research into this exciting and promising field.

158 citations

Journal ArticleDOI
TL;DR: Experimental analysis and density functional theory calculations suggest Pv can weaken the hybridization of Ni 3d and P 2p orbitals, enriching the electron density of Ni and P atoms nearby Pv, facilitating H* desorption process, contributing to outstanding HER activity and facile kinetics.
Abstract: Vacancy engineering is an effective strategy to manipulate the electronic structure of electrocatalysts to improve their performance, but few reports focus on phosphorus vacancies (Pv). Herein, the creation of Pv in metal phosphides and investigation of their role in alkaline electrocatalytic hydrogen evolution reaction (HER) is presented. The Pv-modified catalyst requires a minimum onset potential of 0 mV vs. RHE, a small overpotential of 27.7 mV to achieve 10 mA cm-2 geometric current density and a Tafel slope of 30.88 mV dec-1 , even outperforms the Pt/C benchmark (32.7 mV@10 mA cm-2 and 30.90 mV dec-1 ). This catalyst also displays superior stability up to 504 hours without any decay. Experimental analysis and density functional theory calculations suggest Pv can weaken the hybridization of Ni 3d and P 2p orbitals, enrich the electron density of Ni and P atoms nearby Pv, and facilitate H* desorption process, contributing to outstanding HER activity and facile kinetics.

158 citations


Authors

Showing all 31818 results

NameH-indexPapersCitations
Jian Yang1421818111166
Liming Dai14178182937
Hui Li1352982105903
Jian Zhou128300791402
Shuicheng Yan12381066192
Zidong Wang12291450717
Xin Wang121150364930
Xuan Zhang119153065398
Zhenyu Zhang118116764887
Xin Li114277871389
Zeshui Xu11375248543
Xiaoming Li113193272445
Chunhai Fan11270251735
H. Vincent Poor109211667723
Qian Wang108214865557
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022594
20214,309
20203,990
20193,920
20183,211