A Dynamic Hashing Algorithm Suitable for Embedded System

2013 ◽  
Vol 11 (6) ◽  
Author(s):  
Li Jianwei ◽  
Chen Huijie
Keyword(s):  
Embedded System ◽  
Hashing Algorithm ◽  
Dynamic Hashing

Data Mining Association Rules for Making Knowledgeable Decisions

2009 ◽  
pp. 43-53
Author(s):  
A.V. Senthil Kumar ◽  
R. S.D. Wahidabanu
Keyword(s):  
Data Mining ◽  
Directed Graph ◽  
Association Rules ◽  
Relational Databases ◽  
Minimum Support ◽  
Transaction Database ◽  
Mining Association Rules ◽  
The Cost ◽  
Hashing Algorithm ◽  
Dynamic Hashing

This chapter describes two techniques used to explore frequent large itemsets in the database. In the first technique called “closed directed graph approach,” the algorithm scans the database once making a count on possible 2-itemsets from which only the 2-itemsets with a minimum support are used to form the closed directed graph which explores possible frequent large itemsets in the database. In the second technique, dynamic hashing algorithm, large 3-itemsets are generated at an earlier stage which reduces the size of the transaction database after trimming and the cost of later iterations will be less. Furthermore the authors hope that these techniques help researchers not only to understand about generating frequent large itemsets, but also assist with the understanding of finding association rules among transactions within relational databases.

Implementation and Analysis of the File System Based on Metadata Dynamic Hashing

2012 ◽  
Vol 490-495 ◽  
pp. 1034-1038
Author(s):  
Si Ma ◽  
Tao Cai ◽  
Yong Zhao Zhan
Keyword(s):  
System Performance ◽  
File System ◽  
Storage System ◽  
Metadata Management ◽  
Mass Storage ◽  
Management Algorithm ◽  
Mass Storage System ◽  
Hashing Function ◽  
Hashing Algorithm ◽  
Dynamic Hashing

Metadata management algorithm plays an important role in file system performance and file system is the most common way of data accessing in mass storage systems, so metadata management algorithm is very important for the performance of mass storage system. In this paper we analyze current metadata management algorithms and bring in the metadata dynamic hashing algorithm to solve the problem of poor adaptability of them. We realize the prototype on Lustre. After testing system performance with common tools by adjusting the several parameters’ value of metadata dynamic hashing algorithm, we find that performance of the prototype I/O is superior to Lustre. Furthermore, we analyze impacts of the parameters of dynamic hashing function on I/O performance of prototype

Fault tolerant Automotive CAN Control Embedded System

2012 ◽  
Vol 2 (1) ◽  
pp. 57-59
Author(s):  
Balachandra Pattanaik ◽  
◽  
Dr S. Chandrasekaran Dr S. Chandrasekaran
Keyword(s):  
Embedded System ◽  
Fault Tolerant

Embedded System for Front Differential Drive of Rotational and Translational Vehicle Position Control

2017 ◽  
Vol 10 (4) ◽  
pp. 325
Author(s):  
Angie Julieth Valencia Castañeda ◽  
Mauricio Felipe Mauledoux Monroy ◽  
Oscar Fernando Avilés Sánchez ◽  
Paola Andrea Niño Suarez ◽  
Edgar Alfredo Portilla Flores
Keyword(s):  
Embedded System ◽  
Position Control ◽  
Differential Drive ◽  
Vehicle Position

Study on performance of PCI interface for embedded system

2014 ◽  
Author(s):  
Qingzhong Jia ◽  
Zuxi Huang ◽  
Yongshan Liu
Keyword(s):  
Embedded System ◽  
Pci Interface
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