Industrial alarm systems inform the operator of abnormal plant behavior and are required to guarantee safety, quality, and productivity of the plant. However, modern alarm systems often produce large amounts of false or nuisance alarms which leads to alarm floods. Operators receive far more alarms than they can handle. To reduce these alarm floods, we developped an alarm system that performs Ro...

The authors examined false recognition of semantic associates in patients with probable Alzheimer's disease (AD), older adults, and young adults using a paradigm that provided rates of false recognition after single and multiple exposures to word lists. Using corrected false recognition scores to control for unrelated false alarms, the authors found that (a) the level of false recognition after...

Identifying new intrusions and developing effective signatures that detect them is essential for protecting computer networks. We present Nemean, a system for automatic generation of intrusion signatures from honeynet packet traces. Our architecture is distinguished by its emphasis on a modular design framework that encourages independent development and modification of system components and pr...

Up-down counters are commonly used in the aerospace industry for fault detection thresholding. This paper applies the up-down counter technique to detect wind turbine faults. The thresholding problem involves a tradeoff between false alarms and missed detections. Counter based thresholding can detect smaller faults with higher probability and lower false alarms than is possible using simple con...

This article focuses on the type of problems that lead to false or nonactionable clinical alarms and the type of data that can help identify which of these alarms are most prevalent in specific units in healthcare facilities. The process of identifying necessary data is first described, as this activity will drive later choices on capturing data. This article also discusses how to use the data ...

It is 17 years since Dorothy Denning proposed the first intrusion detection model. These systems have evolved rapidly from that model to present alarm correlation methods. Up to the moment, researchers have developed Intrusion Detection Systems (IDS) capable of detecting attacks in several environments. A boundlessness of methods for misuse detection as well as anomaly detection has been applie...

Can subjects avoid creating false memories as outlined in Roediger and McDermott's (1995) false recognition paradigm if they are forewarned about this memory illusion? We presented subjects with semantically related word lists, followed by a recognition test. The test was composed of studied words, semantically related nonstudied words (critical lures), and unrelated nonstudied words. One group...

Concurrent programs are difficult to debug due to the inherent concurrence and indeterminism. One of the problems is race conditions. Previous work on dynamic race detection includes fast but imprecise methods that report false alarms, and slow but precise ones that never report false alarms. Some researchers have combined these two methods. However, the overhead is still massive. This paper ex...

In Nuclear Safeguards, surveillance cameras monitor the correct processing of nuclear material. Nuclear inspectors are faced with tens of thousands of images to review, of which less than 1% is significant. The Safeguards authorized means of reducing the image set is, at present, a two-frame differencing change-detection filter. We further limit the set by tracking flasks thanks to the timing o...

Patient monitors in modern hospitals have become ubiquitous but they generate an excessive number of false alarms causing alarm fatigue. Our previous work showed that combinations of frequently co-occurring monitor alarms, called SuperAlarm patterns, were capable of predicting in-hospital code blue events at a lower alarm frequency. In the present study, we extend the conceptual domain of a Sup...