This paper examines the sectoral and intertemporal impacts of international emigrant remittances by using a vector auto-regression (VAR) estimation focusing on Cambodia, Lao PDR, Myanmar and Vietnam (CLMV countries). The reason for targeting the CLMV countries is that they have still depended largely on remittance-earnings from their emigrant workers in their economies, and that the macroeconom...

Efficient and robust fault detection and diagnosis (FDD) can potentially play an important role in developing building management systems (BMS) for high performance buildings. Our research indicates that, in comparison to traditional model-based or data-driven methods, the combination of time series modeling and machine learning techniques produces higher accuracy and lower false alarm rates in...

This paper develops a technique that unfolds public mood on social issues from real-time social media for sector index prediction. We first propose a low-dimensional support vector machine (SVM) classifier using surrounding information for twitter sentiment classification. Then, we generate public mood time series by aggregating message-level weighted daily mood (WDM) based on the sentiment cla...