This paper proposes a novel audiovisual presentation system, called PhotoSense, to enrich photo navigation experience by associating emotionally harmonic music with a given photo collection. Different from many conventional photo visualization systems which predominantly focus on the visual elements for presentation, we explore both visual and aural perspectives which can enhance the browsing experience from each other. This is achieved by building an emotion space shared by visual and aural domains, and a set of emotion classifiers which can associate each visual and aural element with this space. Furthermore, we design a sequence matching algorithm to associate a set of music with a photo collection by maximizing similarity in the emotion space. Photo-Sense represents one of the first mash-up applications which build a natural connection between the ever increasing personal photo collections on the Web and music-sharing sites. Experiments show that PhotoSense provides better browsing experience for photo collections.

Power consumption is an important issue in nanoscale circuits. The multiple supply voltages (MSV) technique, where non-critical parts are supplied with the lower supply voltage, can be used to balance power and performance, as both dynamic and leakage power are reduced with the lower supply voltage. However, level converting circuits must be inserted between different voltage domains to avoid leakage current. In this paper, we present three scan flip-flop designs that support a low-power mechanism, including level converting and sleep mode operation. The designs provide tradeoff between power and speed, and thus provide a simple and efficient way to design low-power high-testability circuits.

SUMMARY: We have developed U-PRIMER, a primer design program, to compute a minimal primer set (MPS) for any given set of DNA sequences. The U-PRIMER algorithm, which uses automatic variable fixing and automatic redundant constraint elimination to tackle the binary integer programming problem associated with the MPS selection problem. The program has been tested successfully with 32 adipocyte development-related genes and 9 TB-specific genes to obtain their respective MPSs. AVAILABILITY: A free copy of U-PRIMER implemented in C++ programming language is available from http://www.u-vision-biotech.com