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On the Performance of a Simple Packet Rate Estimator
Get PDFThis paper proposes a simple packet rate estimator that can be very useful in predicting the rate of network traffic. The quality and performance of the estimator is evaluated and compared with three popular rate estimators that were originally designed for estimating bit rate. The proposed estimator is highly cost effective as its computation is not carried out upon the arrival of each incoming packet. In addition, the computation is simple and does not depend on the measurement of interarrival times of packets. We evaluate and compare the quality and performance in terms of agility, stability, accuracy and cost. The performance evaluation is conducted using discrete-event simulation that produces synthesized bursty traffic with empirical packet sizes
Efficient Test Compression Technique Based on Block Merging
Get PDFTest data compression is an effective methodology for reducing test data volume and testing time. The author presents a new test data compression technique based on block merging. The technique capitalises on the fact that many consecutive blocks of the test data can be merged together. Compression is achieved by storing the merged block and the number of blocks merged. It also takes advantage of cases where the merged block can be filled by all 0s or all 1s. Test data decompression is performed on chip using a simple circuitry that repeats the merged block the required number of times. The decompression circuitry has the advantage of being test-dataindependent. Experimental results on benchmark circuits demonstrate the effectiveness of the proposed technique compared with other coding-based compression techniques
ENERGY-EFFICIENT WINDOW DESIGN THROUGH THE INTEGRATION OF DAYLIGHTING AND ARTIFICIAL LIGHTING IN OFFICE BUILDINGS
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A cost effective development of an ultrasonic A-scans database for high-temperature hydrogen attack
No full textSuccessful application of the rich collection of classification algorithms to non-destructive testing signals depends heavily on the availability of adequate and representative sets of training examples, whose acquisition can often be very expensive and time consuming. In this paper, an out-of-service pressure vessel known to have lots of high-temperature hydrogen attack defects is used to develop in a cost effective manner a database of ultrasonic A-scan signals. To test how adequate and representative these sets of A-scan signals are, a basic feature extraction method coupled with a primitive classifier is shown to distinguish accurately the hydrogen attack from geometrically similar defects