Beijing, China

Ren, Guoyu; Ren, Zhiqiang

doi:10.4135/9781412973816.n9

Cited by 39 publications

(61 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And the overall accuracy of the proposed ensemble is given in equation (6). In the equation, n is the total number of layers of the propose ensemble.…”

Section: Analysis Of Experiments Resultsmentioning

confidence: 99%

See 1 more Smart Citation

A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services

Peng¹,

Yue²,

Li³

et al. 2016

INT J COMPUT COMMUN

View full text Add to dashboard Cite

Cloud services provide Internet users with various services featured with data fusion through the dynamic and expandable virtual resources. Because a large amount of data runs in different modules of the cloud service systems, it will inevitably produce all kinds of failures when the data is processed in and transferred between modules. Therefore the job of rapid fault location has an important role in improving the quality of cloud services. Because of the features of large scale and data fusion of data in the cloud service system, it is difficult to use the conventional fault locating method to locate the faults quickly. Taking the requirements on the speed of locating faults into account, we will make a clear division to all possible failure causes according to the business phases, and quickly locate the faults by implementing a cascading structure of the neural network ensemble. At last, we conducted an experiment of locating faults in a cloud service system runned by a telecom operator, comparing the proposed hybird classifier ensemble with neural networks trained by separated data subsets and a conventional neural network ensemble based on bagging algorithm. The experiment proved that the neural network ensemble based on dimension separation is effective for locating faults in cloud services.

show abstract

“…And the overall accuracy of the proposed ensemble is given in equation (6). In the equation, n is the total number of layers of the propose ensemble.…”

Section: Analysis Of Experiments Resultsmentioning

confidence: 99%

“…There are many classification algorithms, such as artificial neural network, support vector machine and wavelet analysis [6]. In general, for the problem of locating faults in cloud service systems, neural network (shown in Fig.1) is commonly used [7].…”

Section: Pattern Recognition Based On Artificial Intelligencementioning

confidence: 99%

A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services

Peng¹,

Yue²,

Li³

et al. 2016

INT J COMPUT COMMUN

View full text Add to dashboard Cite

show abstract

“…The efficiency increases from 26.5% to 48.4% to have the increment of 21.9%. The annual amount of deposition reaches 2.68 million m 3 . By contrast, the time series from 2025 to 2037 can be called the high sediment release period.…”

Section: Discussionmentioning

confidence: 99%

“…It can be more appropriately applied to the other reservoirs, especially for the range of capacity inflow ratio between 0.01 and 0.1. to have the increment of 21.9%. The annual amount of deposition reaches 2.68 million m 3 . By contrast, the time series from 2025 to 2037 can be called the high sediment release period.…”

Section: Discussionmentioning

confidence: 99%

“…As the world's population increases, reservoir sedimentation will pose more challenges in the utilization of water resources. In an effort to reduce reservoir sedimentation and the impacts of sediment deficit downstream from dams, various measures have been applied for sediment reduction such as the turbidity current venting technique implemented in Lake Mead, USA [2][3][4], Guanting Reservoir, China [5,6], or the sediment bypass tunnel built at the Asahi Reservoir, Japan [7]. Recently, the reservoir sedimentation problem is receiving increasing attention worldwide; for example, Taiwan also has serious sedimentation problems in its reservoirs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Physical Model-Based Investigation of Reservoir Sedimentation Processes

Huang

Lai

Lee

et al. 2018

Water

View full text Add to dashboard Cite

Sedimentation is a serious problem in the operations of reservoirs. In Taiwan, the situation became worse after the Chi-Chi Earthquake recorded on 21 September 1999. The sediment trap efficiency in several regional reservoirs has been sharply increased, adversely affecting the operations on water supplies. According to the field record, the average annual sediment deposition observed in several regional reservoirs in Taiwan has been increased. For instance, the typhoon event recorded in 2008 at the Wushe Reservoir, Taiwan, produced a 3 m sediment deposit upstream of the dam. The remaining storage capacity in the Wushe Reservoir was reduced to 35.9% or a volume of 53.79 million m 3 for flood water detention in 2010. It is urgent that research should be conducted to understand the sediment movement in the Wushe Reservoir. In this study, a scale physical model was built to reproduce the flood flow through the reservoir, investigate the long-term depositional pattern, and evaluate sediment trap efficiency. This allows us to estimate the residual life of the reservoir by proposing a modification of Brune's method. It can be presented to predict the lifespan of Taiwan reservoirs due to higher applicability in both the physical model and the observed data.

show abstract

Highly Selective Conversion of HMF to 1‐hydroxy‐ 2,5‐hexanedione on Pd/MIL‐101(Cr)

et al. 2019

View full text Add to dashboard Cite

Saturated cyclohexene water was used as the reductant for the preparation of Pd/MIL‐101(Cr). The catalysts were characterized by XRD, N2 adsorption/desorption isotherms, XPS, TEM, FTIR, ICP‐AES and in‐situ FTIR spectra of adsorbed pyridine. The water saturated by cyclohexene was proved to be an effective reductant to produce metallic Pd catalyst. The texture of MIL‐101(Cr) was kept well after the introduction of Pd to MIL‐101(Cr). The hydrogenation of HMF to 1‐hydroxy‐2,5‐hexanedione (HHD) was conducted in water using Pd/MIL‐101(Cr) as catalyst. After reacted for 6 h at 413 K 4 MPa H2, up to 82% yield of HHD was achieved without acid additives. The MIL‐101(Cr) acted both as support and acid catalyst generated from the open Cr3+. The stability of the catalyst was investigated to find that the TOFs decreased slightly after the catalyst was used. The decline in the catalytic activity was discussed and ascribed to the condensation of intermediates on the active sites and the partly aggregate of Pd.

show abstract

Beijing, China

Cited by 39 publications

References 0 publications

A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services

A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services

Physical Model-Based Investigation of Reservoir Sedimentation Processes

Highly Selective Conversion of HMF to 1‐hydroxy‐ 2,5‐hexanedione on Pd/MIL‐101(Cr)

Contact Info

Product

Resources

About