Program Highlights
1: Keynotes
2.USA NSF delegation, NSFC delegation, IBM special session, and Sun Microsystems industrial session
At UCLA's WINMEC (Wireless Internet for the Mobile Enterprise Consortium), the Wireless "Internet of Artifacts" notion is being explored via a project called WinRFID (http://winmec.ucla.edu/rfid) -- which is the first generation of our implementation of this idea. RFID or Radio Frequency Identification is a technology that can embody the identity and other related information of an artifact within a chip called a tag that has no power source and make such information available to an RFID transceiver when the tag receives the RF transmission and its coupled energy. RFID tags are expected to eventually be embedded into every daily-life artifact. At UCLA, we are developing the WinRFID Middleware that allows efficient, intelligent and optimized networking and management of RFID readers, tags and sensors at the edge of the network. The WinRFID middleware is currently being used for several research and industrial-led projects at UCLA-WINMEC that include securing assets, asset tracking, managing object shipments in supply chains, factory wireless networks, etc.
Hierarchical and Consensus PCA are multiblock techniques that are useful when data come from different subunits and the effects of the subunits are of interest. For example, if in the manufacturing of a part there are various stages that must be executed before the product is completed, one may wish to understand the effects of each subunit on the product. Multiblock PCA may prove helpful. Hierarchical and Consensus produce a PCA-like models of the data for each subunit and a supermodel for the combined effects.
This talk with introduce the trilinear and multiblock concepts and illustrate
their application with an example from data on a batch chemical process.
The purpose of this study was to determine the utility of trilinear and
hierarchical methods for automatic outlier identification of process data.
Safeguarding customer privacy builds trust and serves as a competitive differentiator. Failing to be a responsible data steward puts a company at risk, both legal risk and reputational risk. This presentation provides an overview of the current legal landscape for data privacy. The discussion includes specific challenges for companies with a global presence and it provides concrete steps service providers can take to bolster their data privacy practices.