Imagine that this system were to be utilised in a long-term, battery-operated monitoring application where pattern detection is performed for 5 minutes once every hour for 24 hours a day for 2 weeks.
The collected data is reviewed at the end of this period. Disregarding for a moment any issues with energy expenditure associated with the generation signal itself, in a short exposition discuss potential issues in terms of power consumption and reliable data storage.
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Abstract
This study aims to identify the daily rainfall pattern over a 20 year period (1994–2013) using data from 89 stations positioned throughout Malaysia by applying Principal Component Analysis (PCA). Six components were retained using PCA with total variance of 53.43%. The first and the second component encompassed regions that show characteristics of Northeast and Southwest monsoons respectively. The fourth component, which covers the northern regions of peninsular Malaysia, shows two peaks in rainfall amount received per year. The third, fifth and sixth components show distinction between regions that mostly cover Sabah and Sarawak.
