At radar frequencies below 2 GHz, the mismatch between the 5 to 15 cm sensing depth of classical time domain reflectometry (TDR) probe soil moisture measurements and the radar penetration depth can easily lead to unreliable in situ data. Accurate quantitative measurements of soil water contents at various depths by classical methods are cumbersome and usually highly invasive. We propose an impr...

Optical coherence domain reflectometry (OCDR) has emerged as an attractive method for obtaining high-spatial-resolution (<10 Am) reflectance measurements of fiber-optic, integrated-optic, and biological structures.` 8 Most previous OCDR systems have achieved high sensitivity and dynamic range by using narrow-band heterodyne detection by piezoelectric path-length modulation and lock-in amplifier...

Phase-sensitive optical time-domain reflectometry (Φ-OTDR) has attracted numerous attention due to its superior performance in detecting the weak perturbations along fiber. Relying on ultra-sensitivity of light phase tiny deformation fiber, Φ-OTDR been treated as a powerful technique with wide range applications. It is fundamental extract scattering wave accurately and methods include coherent ...

Cohesion-Model is a new Story Link Detection (SLD) System that is inspired by the relevance model of TDT. Task in hand is to detect whether given two documents are linked. Each document is expanded using corresponding relevant documents. Each term in the relevant document is weighted according to the cohesion factor. The two models then are compared using the modified fractional similarity. Per...

84.6% of touching digit strings have only two digits touching, 12.3% have three digits touching, and 3.1% have more than three digits touching. We present a multiexperts approach to recognize touching digit pairs (TDP) and touching digit triples (TDT). We combine holistic and traditional segmentation methods. 25,686 TDP training samples and 2778 TDP testing samples collected from USPS mail are ...

The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at a specific time and place, and the unavoidable consequences, it is conceivable that place information in a news article plays an important role in TDT. We analyzed news articles for their characteristics of place info...

We discuss Topic Detection, a sub-task of the Topic Detection and Tracking (TDT) Project, and present initial results for both a baseline system and a set of extensions that attempt to model events and reportage in the news domain. Moreover, we describe a system that clusters live news feeds and presents this data to the user in a variety of formats. We conclude that this system produces intere...

Abstract Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative concerned with finding groups of stories on the same topic (tdt, 1998). The goal is to build systems that can segment, detect, and track incoming news stories (possibly from multiple continuous feeds) with respect to pre-defined topics. While the detection task detects the first story on a particular topic, the tracking...