在現今低功耗行動裝置、及近臨界電壓計算的環境下，電壓緊急狀況正嚴重地威脅著先進電 路設計的雜訊邊界，電壓雜訊感測器則可被用來避免運行中的電壓完整性議題。在這份技術文章 中，採用了一種根據關聯性法則探勘來規劃及擺置雜訊感測器的新技術，這個方法可以考慮失誤 率(任何一個節點發生電壓緊急狀況， 而感測器沒有偵測出來的機率)，並同時最小化使用的感測 器數目。研究結果顯示，此技術著重於使用最少數量感測器的目標下，在收斂失誤率上是非常有 效的；在使用相同的測試資料下，與最新的感測器擺置技術作比較，此方法可以減少使用一半的 感測器數目， 又同時達到可比擬的失誤率， 甚至是更小的失誤率。

Due to low-power mobile device and near-threshold computing nowadays, voltage emergency is threatening our design margins very seriously. Noise sensors are inserted in order to prevent various integrity issues from happening during runtime. In this technical article, we use a new technique based on association rule mining to plan and place noise sensors. This new methodology can consider the miss rate (the probability of any node occurring voltage emergency without any detection by placed sensors) and simultaneously minimize the number of sensors utilized. The results show that our technique is very effective in converging the miss rate to zero by the least number of sensors. Compared with the state-of-the-art, we can reduce the number of sensors by half in benchmarks while the miss rate is comparable or even smaller than the prior work.