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Forensic Science: A neural network helps hunt for serial killers
King County, Wash., detective Robert Keppel was hunting a serial murderer in 1974. Working from the leanest of clues, his staff assembled some 30 lists of potential suspects. One named 4,000 University of Washington classmates of a female victim. Another, every patient released from the state's mental wards in the preceding decade. Using a punch-card computer, the investigators compared the lists. Among the 25 that turned up most often was one now-infamous name: Ted Bundy.
Keppel, currently chief criminal investigator with the Washington State attorney general's office, says that rudimentary program was the first ever written to catch a killer. Today, Keppel is again helping to pioneer crime-fighting computing by testing a new system developed at the Pacific Northwest National Laboratory in Richland, Wash. Called Computer Aided Tracking and Characterization of Homicides (CATCH), it uses a neural network to discover unseen patterns in the state's computerized murder-investigation records.
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Manufacturing in the United States is in trouble. That's bad news not just for the country's economy but for the future of innovation.
This document is part of the “How-To Guide for Most Common Measurements” centralized resource portal. This tutorial provides a detailed guide for measurement and device considerations to take temperature measurements using thermocouples. Get an introduction to thermocouples, which are inexpensive sensing devices widely used with PC-based data acquisition systems. Also review some specific thermocouple examples and learn how thermocouples work and ways to integrate them into a data acquisition measurement system.
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