Abstract: Detection of data anomalies resulting from maintenance activities on semiconductor processing equipment. Time-series representation of the key indicators for equipment performance is cleaned then segmented according to sharp breaks in the data. The cleaned and segmented data is modeled, for example, by determining a linear fit for each segment. The slope and intercept of each modeled segment linear fit are compared and evaluated to identify anomalies in the data.

Abstract: QoS is built into a peer network within existing Internet infrastructure itself lacking QoS, by enabling a network peer to continuously discern the network's ability to deliver to that peer a particular Content Object (distributed in groups of component Packages among neighboring VOD peers) within predetermined times. Content Objects are divided into groups of component Packages and distributed to Clusters of neighboring network peers, enhancing QoS upon subsequent retrieval. Tracking Files (lists of network peers storing Package groups) and Tracking Indexes (lists of network peers storing Tracking Files) are generated to facilitate “on demand” Content Objects retrieval. Dynamically monitoring network traffic (including VOD functionality, bandwidth and reliability) creates “distributed closed-loop feedback,” and in response, attributes of individual network peers (e.g., Trust Level and membership within a particular Cluster) are modified, and “content balancing” functions performed (e.g.

Abstract: The present invention relates to ABA agonist compounds which increase plant stress resistance. The invention also relates to methods of using these compounds. The invention further relates to compositions and formulations comprising the ABA agonist compounds, and uses thereof.