Resumes
Resumes
Chun Xue Phones & Addresses
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2904 Wren Ln, Richardson, TX 75082 (972) 235-9986
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100 N Central Expy STE 407, Richardson, TX 75080
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1520 Richardson Dr, Richardson, TX 75080 (972) 680-3288
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2200 Waterview Pl, Richardson, TX 75080 (972) 761-0822
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2700 Waterview Pl, Richardson, TX 75080 (972) 234-9661
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McKinney, TX
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Plano, TX
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Allen, TX
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Arlington, TX
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Carrollton, TX
Business Records
Name / Title
Company / Classification
Phones & Addresses
President, Director
ALLTIMEPRINT.COM, INC
Whol Printing/Writing Paper
Whol Printing/Writing Paper
100 N Central Expy STE 407, Richardson, TX 75080
2904 Wren Ln, Richardson, TX 75082
PO Box 850782, Richardson, TX 75085
(972) 235-9986
2904 Wren Ln, Richardson, TX 75082
PO Box 850782, Richardson, TX 75085
(972) 235-9986
Publications
Us Patents
Parallel Variable Length Pattern Matching Using Hash Table
View pageUS Patent:
20070204344, Aug 30, 2007
Filed:
Feb 26, 2006
Appl. No.:
11/307864
Inventors:
Chun Xue - Richardson TX, US
International Classification:
G06F 12/14
US Classification:
726024000
Abstract:
Fast pattern matching is the heart of Network Intrusion Detection. A method that applies hash function to pattern matching for variable length patterns is proposed. Pattern matching always can be completed in O (log M) steps where M is the longest pattern length.
Minimize Energy Consumption Using Optimal Voltage Assignment Algorithm
View pageUS Patent:
20070204179, Aug 30, 2007
Filed:
Feb 28, 2006
Appl. No.:
11/307924
Inventors:
Meikang Qiu - Richardson TX, US
Edwin Sha - Richardson TX, US
Chun Xue - Richardson TX, US
Qingfeng Zhuge - Richardson TX, US
Edwin Sha - Richardson TX, US
Chun Xue - Richardson TX, US
Qingfeng Zhuge - Richardson TX, US
International Classification:
G06F 1/32
US Classification:
713320000
Abstract:
Low energy consumptions are extremely important in real-time embedded systems. Due to the uncertainties in execution time of some tasks, this paper models each varied execution time as a probabilistic random variable and incorporating applications' performance requirements to explore real-time embedded systems and avoid over-designing them. We propose a practical algorithm to minimize the expected value of total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm achieves an average improvement of 61.2% on total energy consumption compared with the algorithm in previous work.