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Social and Behavioral Sciences Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Measuring Face Familiarity And Its Application To Face Recognition, Ce Zhan, Wanqing Li, Philip O. Ogunbona
Measuring Face Familiarity And Its Application To Face Recognition, Ce Zhan, Wanqing Li, Philip O. Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
The familiarity of faces is one of the key factors that come into play during human face analysis. However, there is very little research that studies face familiarity. In this paper, two methods are proposed to quantitatively measure the degree of familiarity of a face with respect to a known set. The methods are in accordance with the psychological study. In particular, non-negative matrix factorization (NMF) is extended to learn a localized non-overlapping subspace representation of commonly experienced facial patterns from known faces. The familiarity of a given face is then measured based on its reconstruction error after being projected …
Application Of Multi-Agent System For Preventing Power Interruption In A Large Power System, S R. Islam, Darmawan Sutanto, K M. Muttaqi
Application Of Multi-Agent System For Preventing Power Interruption In A Large Power System, S R. Islam, Darmawan Sutanto, K M. Muttaqi
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents an emergency control approach for preventing wide spread power interruption using multi-agent system. The proposed control algorithm is based on decentralized architecture of intelligent agents to achieve fast and accurate response when a catastrophic disturbance is identified in the system. By dividing the network into several areas, the voltage instability problem can be localized and countermeasures can be directed to the most affected area by the authorized local agent. This facilitates quick decision making within the system. The effectiveness of the proposed technique has been proved by a simulation of IEEE 57 bus test power system.