On-line popularity monitoring method based on bloom filters and hash tables for differentiated traffic

2016 ◽  
Vol 13 (Supplement 1) ◽  
pp. 72-86
Author(s):  
Guo Zhang ◽  
Jianhui Zhang ◽  
Binqiang Wang ◽  
Zhen Zhang
Keyword(s):  
Bloom Filters ◽  
Hash Tables ◽  
Monitoring Method ◽  
On Line

Development of On-Line Monitoring System and Aging Characteristics Research of Switchgear

2013 ◽  
Vol 330 ◽  
pp. 364-367
Author(s):  
Shu Xin Liu ◽  
Yun Dong Cao ◽  
Chun Guang Hou ◽  
Yang Liu ◽  
Xiao Ming Liu
Keyword(s):  
Epoxy Resin ◽  
Monitoring System ◽  
Estimation Method ◽  
Current Transformer ◽  
Insulation Material ◽  
Electrical Characteristics ◽  
Infrared Transmission ◽  
Lifetime Estimation ◽  
Monitoring Method ◽  
On Line

For improving reliable operation of switchgear in power system, an approach for on-line monitoring the insulation characteristic and bus-bar temperature rising of the switchgear is proposed in this paper. Through comparing several existing temperature measurement methods for monitoring temperature rising elevation at bus-bas, a new design of temperature monitoring method is proposed. It adopts quick-magnetic saturated current transformer, temperature sensor and infrared transmission to solve the problem of high voltage isolation. The epoxy resin insulation material which is commonly used in switchgear its aging mechanism data is not complete, seriously restrict on-line monitoring for switchgear, so thousands hours of aging experiment is done on switchgear, systematic study various electrical characteristics variation law on the gradual aging process of epoxy resin insulation materials. Therefore, study on the aging characteristics of switchgearinsulation and its lifetime estimation method is the key technology to understand agingmechanism better, search for new fault diagnostic method and the way to extend theuseful lifetime of switchgear. At last, the system runs in real system and the result shows the on-line monitoring system is stable and reliable which can be provide reference for on-line monitoring system design of switchgear.

scholarly journals Efficient Lookup Solutions for Named Data Networks

2019 ◽  
Vol 9 (2S) ◽  
pp. 621-626
Keyword(s):  
Data Security ◽  
Bloom Filters ◽  
Data Networks ◽  
Hash Tables ◽  
Survey Paper ◽  
Memory Efficiency ◽  
Memory Overhead ◽  
Efficient Data ◽  
Longest Prefix Matching ◽  
Routing Tables

Named Data Networking (NDN) is afast growing architecture, which is proposed as an alternative to existing IP. NDN allows users to request the data identified by a unique name without any information of the hosting entity. NDN supports in-network caching of contents, multi-path forwarding, and data security. In NDN, packet-forwarding decisions are driven by lookup operations on content name of the NDN packets. An NDN node maintains set of routing tables that aid in forwarding decisions. Forwarding the NDN packets depend on lookup of these NDN tables and performing Longest Prefix Matching (LPM) against these NDN tables. The NDN names are unbounded and of variable length. These features along with large and dynamic NDN tables pose several challenges that include increased memory requirement and delayed lookup operations. To this end, there is a need for an efficient data structure that support fast lookup operations with low memory overhead. Several lookup techniques are proposed in this direction. Traversing trie structures would be slow since every level of trie require a memory access. Hash tables incur additional hash computations on names and suffer from collisions. Bloom filters suffer from false positives and do not support deletions. Improving the performance of these structures can lead to a better lookup solution.This survey paper explores different lookup structures for NDN networks. Performance is measured with respect to lookup rate and memory efficiency.

Method for Evaluating Machining Toolholder-Spindle Unbalance Due to Chips at the Toolholder Interface

2010 ◽  
Author(s):  
John Agapiou
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Diagnostic System ◽  
Machining Process ◽  
Monitoring Method ◽  
Spindle System ◽  
On Line

Machining process monitoring method is developed for detecting and diagnosis of the presence of chips at the toolholder-spindle interface. Although toolholders can be simply balanced before they are placed in the spindle, there can be some balancing problems remaining when one or more loose machining chips are attached at the toolholder-spindle interface(s) during a tool change. A method is developed by considering the natural and geometric unbalances of the toolholder-spindle system combined with an analysis of the toolholder tilt due to the presence of loose machining chips around the spindle. The method can be integrated on-line as a real-time expert diagnostic system for toolholder tilt due to the presence of loose machining chips at the spindle nose. The expert diagnostic system makes intelligent decisions on toolholder unbalance and concerns with chips at the interface that result in unwanted tilting and vibrations. The tool unbalance algorithm was able to monitor the toolholder tilting according to the results of this study.

scholarly journals Investigation on on-line monitoring method for lubricating oil deterioration

2017 ◽  
Vol 18 (4) ◽  
pp. 402
Author(s):  
Ying Du ◽  
Tonghai Wu ◽  
Longxin Wang ◽  
Renjie Gong
Keyword(s):  
Lubricating Oil ◽  
Monitoring Method ◽  
Oil Deterioration ◽  
On Line

Study of Acoustic Emission of Wheel Passivation for Cermet Based on Super-Speed Grinding

2011 ◽  
Vol 328-330 ◽  
pp. 796-800
Author(s):  
Li Guo ◽  
Hou Bin Du ◽  
Xiao Min Sheng ◽  
Ke Li Peng ◽  
Tan Jin ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Wavelet Analysis ◽  
Monitoring Method ◽  
Wavelet Energy ◽  
Grinding Conditions ◽  
Nonlinear Relation ◽  
Relation Model ◽  
On Line ◽  
Viable Method ◽  
Table Speed

In this paper, there are two kinds of material (cermet and cemented carbide) to be used. Different grinding conditions were performed for evaluation of RMS of acoustic emission(AE) signals and understanding the effect of each grinding parameter on AE RMS during grinding process. A kind of on-line monitoring method based on wavelet analysis and acoustic emission was raised and the nonlinear relation model between AE RMS,wavelet energy coefficients and wheel passivation state was built. During the process,the wavelet analysis method was used to decompose the original signals for extracting wavelet energy coefficients. The results of experiments indicates that AE RMS increases with increasing table speed;The corresponding relation between AE RMS and table speed is good and could take the table speed as the main parameter for studying wheel passivation state. As a result, the nonlinear relation model can monitor the wheel passivation degree on-line accurately through training. This provides a kind of viable method which has very high practical value for confirming the wheel dressing cycle.

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