Results 1 to 10 of about 771,051 (369)

How large of a grant size is appropriate? Evidence from the National Natural Science Foundation of China.

open access: yesPLoS ONE, 2022
Under the current universal trend towards larger grant sizes in research funding systems, we focus on how large of a grant size is appropriate. We study the directional returns to scale (RTS) to assess whether current grant sizes are the most productive.
Peixin Duan
doaj   +2 more sources

Research Hotspot Prediction and Regular Evolutionary Pattern Identification Based on NSFC Grants Using NMF and Semantic Retrieval [PDF]

open access: goldIEEE Access, 2019
Analyzing the research hotspots and regular evolutionary patterns of R&D projects can help researchers find potential information. This paper considers the titles of the National Natural Science Foundation of China (NSFC) grants that have been awarded in the past 20 years as the research objects.
Jinli Wang   +4 more
openaire   +4 more sources

The dominance of big teams in China’s scientific output

open access: yesQuantitative Science Studies, 2021
Modern science is dominated by scientific productions from teams. A recent finding shows that teams of both large and small sizes are essential in research, prompting us to analyze the extent to which a country’s scientific work is carried out by big or ...
Linlin Liu   +4 more
doaj   +2 more sources

Optimal Estimation Algorithm Design under Event-based Sensor Data Scheduling**The work of L. He was supported by Natural Science Foundation of China (NSFC) under Grant No. 61503337 and China Postdoctoral Science Foundation under Grant No. 2015M571870; The work of J. Chen was supported by NSFC under Grant No. U1401253.

open access: goldIFAC-PapersOnLine, 2016
Abstract: This paper investigates a remote state estimation problem over a communication channel, which is of theoretical and practical significance in the study of cyber-physical systems (CPS). In consideration of both bandwidth limitation and estimation quality, an event-based schedule is proposed to decide whether to transmit the current ...
Yifei Qi, Jiming Chen, Lidong He
openaire   +3 more sources

Sparse Contribution Plot for Fault Diagnosis of Multimodal Chemical Processes ★ ★This work was partially supported by the NSFC under grants 61210012, 61290324, 61490700, 61473164

open access: goldIFAC-PapersOnLine, 2015
Abstract Chemical processes usually work under different operating modes to meet the market demand and to achieve higher profits. This necessitates investigating related algorithms and alarm systems for multimodal chemical processes. Although some research effort has been made to monitor multimodal processes, little attention was paid to fault ...
Maoyin Chen, Donghua Zhou, Chao Ning
openaire   +3 more sources

A balanced method detecting differentially expressed genes for RNA-sequencing data**This work is supported by NSFC grant (No. 61472086) to Fei Wang

open access: goldIFAC-PapersOnLine, 2015
Abstract As RNA-seq becomes the main application for gene expression profiling, many computational methods have been developed for analysis of differential expression (DE) genes in RNA-seq data. However, most existing algorithms prefer to call long genes as DE.
Jinyang Tang, Fei Wang
openaire   +3 more sources

Recursive Identification of Hammerstein With Noisy Observations**The work was supported by the NSFC under Grants 61273193, 61120106011, 61134013, the 973 program of China under grant No.2014CB845301, and the National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences, and in part by the Army Research Office under grant W911NF-12-1-0223.http://www.hamecmopsys.ens2m.fr

open access: goldIFAC-PapersOnLine, 2015
Abstract The paper considers the recursive identification of Hammerstein systems with noisy output, while its input may or may not be corrupted by noise. The system in the latter case is usually called as EIV system. The conditions required in this paper are considerably weaker than those used in previous works, e.g., the orders of the linear ...
Biqiang Mu   +3 more
openaire   +3 more sources

Model based control and MFAC, which is better in simulation? * *Resrach supported by NSFC under granted No. 61120106009. Hou Zhongsheng is the corresponding author.

open access: bronzeIFAC Proceedings Volumes, 2013
Abstract This work presents a new data driven model free adaptive controller by virtue of the gradient information of the available plant model. Our approach is novel in the sense that we use the measured data to directly design the controller, and predict the system output using the plant model if the plant model is available.
Zhongsheng Hou, Yuanming Zhu
openaire   +3 more sources

Home - About - Disclaimer - Privacy