SCIENTIFIC MEASUREMENT DEVICES

Brand Owner (click to sort) Address Description
E-CHEM Fluidion US, INC. 396 S San Marino Ave Pasadena CA 91107 Scientific measurement devices, namely, automated water quality analyzers;
RIVERSURVEYOR YSI Incorporated 1700/1725 Brannum Lane Yellow Springs OH 45387 Scientific measurement devices, namely, a system for obtaining river-discharge measurements from a moving boat comprised of an acoustic water current profiler, a compass/tilt sensor, a digital signal processor, and computer software for providing real-time displays of data as it is gathered and running calculations of discharge data; and Computer software for use in collecting, analyzing, and producing high-resolution river discharge data;RIVER SURVEYOR;
RIVERSURVEYOR SonTek/YSI, Incorporated 1700/1725 Brannum Lane P.O. Box 279 Yellow Springs OH 45387 Scientific measurement devices, namely, a system for obtaining river-discharge measurements from a moving boat comprised of an acoustic water current profiler, a compass/tilt sensor, a digital signal processor, and computer software for providing real-time displays of data as it is gathered and running calculations of discharge data; and Computer software for use in collecting, analyzing, and producing high-resolution river discharge data;RIVER SURVEYOR;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A network performance (e.g., latency and bandwidth) measurement infrastructure for large scale networks based on self-organized probing groups of devices. Each group of devices has a lead device that measures network characteristics, and then shares the measurement information with other devices. This grouping method reduces the amount of network bandwidth needed for adequate measurements, while still providing necessary information to individual devices. The system utilizes a novel multicast-based algorithm that is adopted for both intra-group and inter-group performance measurement. The measurement groups (MeGroups) are dynamic and self-forming, and use a set of heuristic algorithms to optimize the dynamic groupings.