Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chuang Zuo"'
Publikováno v:
The Journal of Engineering (2019)
This study analysed the influence of bearing preload on the stiffness of spindle bearings. MATLAB/Simulink is used to calculate the vibration of simplified spindle system. The vibration of the simplified spindle system decreases with the increase of
Externí odkaz:
https://doaj.org/article/0c7b3425c02d4a588829707719780bc4
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 8, Pp 934-941 (2021)
To study the variation characteristic of supercavity shape and gas-leaking mode in the initial generation and development process of a ventilated supercavity, a 3-D numerical model considering the compressibility of the ventilated gas and gravity eff
Publikováno v:
DEStech Transactions on Materials Science and Engineering.
The bearing preload has significant influence on dynamic performance of motorized spindle. The dynamic performance and the life of bearing can be significant improve if the bearing preload can change according to the different conditions. The main pu
Publikováno v:
2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA).
Frequent Itemset Mining is one of the most investigated fields of data mining. It is expensive to mine frequent itemsets for a large scale data set. Especially when some data is added into the data set, it is still time-consuming from the scratch to
Publikováno v:
International Journal of Grid and Distributed Computing. 6:71-82
MapReduce is an effective programming model for large-scale data-intensive computing applications. Hadoop, an open-source implementation of MapReduce, has been widely used. The communication overhead from the big data sets’ transmission affects the
Publikováno v:
Cloud Computing and Big Data ISBN: 9783319284293
CloudCom-Asia
CloudCom-Asia
MapReduce is a programming model widely used in big data processing. Reduce tasks scheduling in MapReduce is a key issue which affect the performance significantly. Unfortunately, because of the complication of reduce tasks scheduling, there are no a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7b97bb04691c014d636771e552328e
https://doi.org/10.1007/978-3-319-28430-9_17
https://doi.org/10.1007/978-3-319-28430-9_17
Publikováno v:
2014 IEEE 5th International Conference on Software Engineering and Service Science.
The computations in MapReduce are composed of map and reduce tasks. Although performance of map tasks has been investigated extensively, most researches ignore the scheduling of reduce tasks. This paper proposes a divisible load scheduling model for