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This paper investigates the feasibility of using electrical resistance tomography (ERT) to visualize the surface deposit during a cleaning-in-place (CIP) process, which is a common problem in various industries. A pilot scale cleaning rig with a purposely designed ERT test section was used for monitoring the prerinse CIP stage of cleaning milk paste adhering to a test section. The ERT test section comprises a CIP-ERT multilinear sensor consisting of four planes of eight electrodes. The industrial tomography system, P2000 ERT system, was used to collect the voltage data that were processed in a MATLAB-based ERT toolkit. 3-D images were reconstructed using the L-curve Tikhonov method. A feasibility study was conducted to evaluate the performance of the CIP-ERT sensor. Image analysis showed that ERT is suitable for monitoring and visualizing the CIP process for the materials that foul similar to milk pastes. The success of this paper contributes to a time/energy efficient industrial process as the cleaning process can be visualized and over cleaning can be avoided. [ABSTRACT FROM AUTHOR]

This paper reports post-annealing of zinc oxide (ZnO) films on flexible foil substrates in order to improve the functional and acoustic wave sensing performance. ZnO films of 5 \mu \textm thick were deposited onto aluminum foils (50 \mu \textm thick) using magnetron sputtering and then annealed in air at different temperatures between 300 °C and 500 °C. Effects of post-annealing on structural, optical, and device properties of the ZnO films and ZnO/Al foil acoustic wave devices were investigated. A temperature of 350 °C was identified as the optimized annealing temperature, which resulted in good light transmission, improved crystallinity, reduced film stress/defects, and increased amplitude of reflection signals of both Lamb and Rayleigh waves. The annealed ZnO/Al acoustic wave devices demonstrated a large temperature coefficient of frequency and a good linearity, revealing the potential for precise temperature sensing. [ABSTRACT FROM AUTHOR]

The general purpose Dø collider detector, located at Fermi National Accelerator Laboratory, is operated In the high luminosity (L = 2 × 1032 cm-2 s-1) and high-collision-rate environment (396 ns between beam crossings) of the upgraded Tevatron proton anti-proton accelerator. Dø uses a three-tiered trigger system to select events for offline storage and analysis. This paper describes the architecture and performance of the Dø central track trigger (CTT) system based on the new central fiber tracker, central preshower and forward preshower detectors, with emphasis on the interface to and integration with the second tier L2 Trigger system. [ABSTRACT FROM AUTHOR]

An overview of the Dø Central Track Trigger (CTT) for the Tevatron Run 2 program is presented. This newly commissioned system uses information from the Dø Central Fiber Tracker and Preshower Detectors to generate trigger information for the first level of the three-tiered Dø Trigger. The system delivers tracking detector trigger decisions every 132 ns, based on input data flowing at a rate of 475 Gbit per second. Initial results indicate excellent performance of the CTT. First studies of efficiency and trigger performance of the CTT are presented. [ABSTRACT FROM AUTHOR]

An overview of the system architecture and algorithms used for the Dø Central Track Trigger (CTT) in the Run 2 of the Fermilab Tevatron Proton-Antiproton Collider is presented. This system uses information from the newly commissioned Central Fiber Tracker and Preshower Detectors to generate Level 1 trigger decisions. It also generates lists of seed tracks and preshower clusters that are sent to the Level 1 Muon Trigger, L2 Silicon Track Trigger, and Central and Forward Preshower Level 2 preprocessors. The system consists of modular boards which utilize field-programmable gate arrays (FPGAs) to implement trigger algorithms. The system delivers trigger decisions every 132 ns, based on input data flowing at a maximum sustained rate of 475 gigabits per second. The first results of trigger efficiency studies are presented. [ABSTRACT FROM AUTHOR]