6,076 research outputs found
Critical edge statistics for deformed GinUEs
For an additive perturbation of the complex Ginibre ensemble under a
deterministic matrix , under certain assumption on we prove that
there are only two types of local statistical patterns at the spectral
edge--GinUE statistics and critical statistics, which corresponds to regular or
quadratic vanishing spectral points. The latter, as a non-Hermitian analogue of
Pearcey statistics in random matrix theory, characterizes a new point process
on the complex plane and will be our major goal in this paper.Comment: 55 page
Optimal Power Control Model of Direct Driven PMSG
AbstractIn order to analyze the performances of direct driven PMSG, an optimal power control model which includes maximum power extraction control model under low wind speed and pitch angle control model under high wind speed is established. The concept of the model is analyzed in a 1.5 MW direct drive variable speed permanent magnet synchronous generator (D-PMSG) WECS with back-to-back IGBT frequency converter. Vector control of the generator side rectifier is realized in the grid voltage vector reference frame. Confirmation of models and control schemes is demonstrated by using the EMTDC/PSCAD environment
Recommended from our members
Towards universal health coverage: lessons from 10 years of healthcare reform in China.
Universal health coverage (UHC) is driving the global health agenda. Many countries have embarked on national policy reforms towards this goal, including China. In 2009, the Chinese government launched a new round of healthcare reform towards UHC, aiming to provide universal coverage of basic healthcare by the end of 2020. The year of 2019 marks the 10th anniversary of China's most recent healthcare reform. Sharing China's experience is especially timely for other countries pursuing reforms to achieve UHC. This study describes the social, economic and health context in China, and then reviews the overall progress of healthcare reform (1949 to present), with a focus on the most recent (2009) round of healthcare reform. The study comprehensively analyses key reform initiatives and major achievements according to four aspects: health insurance system, drug supply and security system, medical service system and public health service system. Lessons learnt from China may have important implications for other nations, including continued political support, increased health financing and a strong primary healthcare system as basis
On the Thermally Induced Interfacial Behavior of Thin Two-Dimensional Hexagonal Quasicrystal Films with an Adhesive Layer
The mechanical response of a quasicrystal thin film is strongly affected by an adhesive layer along the interface. In this paper, a theoretical model is proposed to study a thin two-dimensional hexagonal quasicrystal film attached to a half-plane substrate with an adhesive layer, which undergoes a thermally induced deformation. A perfect non-slipping contact condition is assumed at the interface by adopting the membrane assumption. An analytical solution to the problem is obtained by constructing governing integral–differential equations for both single and multiple films in terms of interfacial shear stresses that are reduced to a linear algebraic system via the series expansion of Chebyshev polynomials. The solution is compared to that without adhesive layers, and the effects of the aspect ratio of films, material mismatch, and the adhesive layer, as well as the interaction between films, are discussed in detail. It is found that the adhesive layer can soften the localized stress concentration. This study is instructive to the accurate safety assessment and functional design of a quasicrystal film system
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network
This paper investigates the zero-shot object goal visual navigation problem.
In the object goal visual navigation task, the agent needs to locate navigation
targets from its egocentric visual input. "Zero-shot" means that the target the
agent needs to find is not trained during the training phase. To address the
issue of coupling navigation ability with target features during training, we
propose the Class-Independent Relationship Network (CIRN). This method combines
target detection information with the relative semantic similarity between the
target and the navigation target, and constructs a brand new state
representation based on similarity ranking, this state representation does not
include target feature or environment feature, effectively decoupling the
agent's navigation ability from target features. And a Graph Convolutional
Network (GCN) is employed to learn the relationships between different objects
based on their similarities. During testing, our approach demonstrates strong
generalization capabilities, including zero-shot navigation tasks with
different targets and environments. Through extensive experiments in the
AI2-THOR virtual environment, our method outperforms the current
state-of-the-art approaches in the zero-shot object goal visual navigation
task. Furthermore, we conducted experiments in more challenging cross-target
and cross-scene settings, which further validate the robustness and
generalization ability of our method. Our code is available at:
https://github.com/SmartAndCleverRobot/ICRA-CIRN
Automated Synthesis of Architecture of Avionic Systems
The Architecture Synthesis Tool (AST) is software that automatically synthesizes software and hardware architectures of avionic systems. The AST is expected to be most helpful during initial formulation of an avionic-system design, when system requirements change frequently and manual modification of architecture is time-consuming and susceptible to error. The AST comprises two parts: (1) an architecture generator, which utilizes a genetic algorithm to create a multitude of architectures; and (2) a functionality evaluator, which analyzes the architectures for viability, rejecting most of the non-viable ones. The functionality evaluator generates and uses a viability tree a hierarchy representing functions and components that perform the functions such that the system as a whole performs system-level functions representing the requirements for the system as specified by a user. Architectures that survive the functionality evaluator are further evaluated by the selection process of the genetic algorithm. Architectures found to be most promising to satisfy the user s requirements and to perform optimally are selected as parents to the next generation of architectures. The foregoing process is iterated as many times as the user desires. The final output is one or a few viable architectures that satisfy the user s requirements
Isolation and characterization of α-amylase from marine Pseudomonas sp. K6-28-040
The α-amylase of marine Pseudomonas sp. K6-28-040 was purified through a series of three steps and the purity of enzymes was checked by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The results showed that, the enzyme was purified 4.7-fold with a specific activity of 134.6 U/mg protein and a yield of 44%. When it was subjected to SDS-PAGE, a single band near 58 kDa appeared. The optimum temperature and pH were 50°C and 7.0, respectively. The addition of Ca2+, Mn2+ and Co2+ could improve the enzyme activity, while Cu2+, Hg2+, Fe3+ and Al3+ decreased the activity. The enzyme was inhibited by ethylenediaminetetraacetic acid (EDTA), ethylenebis(oxonitrilo)]tetra-acetate (EGTA), SDS and dimethyl sulfoxide (DMSO), but was not affected by phenylmethane-sulfonyl fluoride (PMSF) and 1,4-dithiothreitol (DTT). Km and Vmax values of the purified enzyme for soluble starch were 1.73 ± 0.3 mg/ml and 1.24 ± 0.02 mg/ml/min, respectively. The degradation ability of wild type α amylase on starch granules was examined by thin layer chromatography. The final purified enzyme had an isoelectric point of 7.5-7.8 and α-helix of 28%, β-sheet of 32% and random coil of 40%.Keywords: α-Amylase; Pseudomonas sp., purification, enzyme characterizatio
- …