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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Mountain Passes And Saddle Points, James Bisgard
Mountain Passes And Saddle Points, James Bisgard
All Faculty Scholarship for the College of the Sciences
Variational methods find solutions of equations by considering a solution as a critical point of an appropriately chosen function. Local minima and maxima are well-known types of critical points. We explore methods for finding critical points that are neither local maxima or minima, but instead are mountain passes or saddle points. Criteria for the existence of minima or maxima are well known, but those for mountain passes or saddle points are less well known. We give an accessible treatment of some criteria for the existence of such points (including the mountain pass lemma), as well as describe a method that …
Analysis Of Spatial Variability Of Near-Surface Soil Moisture To Increase Rainfall-Runoff Modelling Accuracy In Sw Hungary, P. Hegedüs, S. Czigány, E. Pirkhoffer, L. Balatonyi, Robert Hickey
Analysis Of Spatial Variability Of Near-Surface Soil Moisture To Increase Rainfall-Runoff Modelling Accuracy In Sw Hungary, P. Hegedüs, S. Czigány, E. Pirkhoffer, L. Balatonyi, Robert Hickey
All Faculty Scholarship for the College of the Sciences
Between September 5, 2008 and September 5, 2009, near-surface soil moisture time series were collected in the northern part of a 1.7 km2 watershed in SWHungary at 14 monitoring locations using a portable TDR-300 soil moisture sensor. The objectives of this study are to increase the accuracy of soil moisture measurement at watershed scale, to improve flood forecasting accuracy, and to optimize soil moisture sensor density.
According to our results, in 10 of 13 cases, a strong correlation exists between the measured soil moisture data of Station 5 and all other monitoring stations; Station 5 is considered representative for the …
Using The Stable Carbon And Nitrogen Isotope Compositions Of Vervet Monkeys (Chlorocebus Pygerythrus) To Examine Questions In Ethnoprimatology, James E. Loudon, J. Paul Grobler, Matt Sponheimer, Kimberly Moyer, Joseph G. Lorenz, Trudy R. Turner
Using The Stable Carbon And Nitrogen Isotope Compositions Of Vervet Monkeys (Chlorocebus Pygerythrus) To Examine Questions In Ethnoprimatology, James E. Loudon, J. Paul Grobler, Matt Sponheimer, Kimberly Moyer, Joseph G. Lorenz, Trudy R. Turner
All Faculty Scholarship for the College of the Sciences
This study seeks to understand how humans impact the dietary patterns of eight free-ranging vervet monkey (Chlorocebus pygerythrus) groups in South Africa using stable isotope analysis. Vervets are omnivores that exploit a wide range of habitats including those that have been anthropogenically-disturbed. As humans encroach upon nonhuman primate landscapes, human-nonhuman primate interconnections become increasingly common, which has led to the rise of the field of ethnoprimatology. To date, many ethnoprimatological studies have examined human-nonhuman primate associations largely in qualitative terms. By using stable carbon (δ13C) and nitrogen (δ15N) isotope analysis, we use quantitative data …
Mapsnap System To Perform Vector-To-Raster Fusion, Boris Kovalerchuk, Peter Doucette, Gamal Seedahmed, Jerry Tagestad, Sergei Kovalerchuk, Brian Graff
Mapsnap System To Perform Vector-To-Raster Fusion, Boris Kovalerchuk, Peter Doucette, Gamal Seedahmed, Jerry Tagestad, Sergei Kovalerchuk, Brian Graff
All Faculty Scholarship for the College of the Sciences
As the availability of geospatial data increases, there is a growing need to match these datasets together. However, since these datasets often vary in their origins and spatial accuracy, they frequently do not correspond well to each other, which create multiple problems. To accurately align with imagery, analysts currently either: 1) manually move the vectors, 2) perform a labor-intensive spatial registration of vectors to imagery, 3) move imagery to vectors, or 4) redigitize the vectors from scratch and transfer the attributes. All of these are time consuming and labor-intensive operations. Automated matching and fusing vector datasets has been a subject …
How To Write A Good Paper In Computer Science And How Will It Be Measured By Isi Web Of Knowledge, Rǎzvan Andonie, Ioan Dzitac
How To Write A Good Paper In Computer Science And How Will It Be Measured By Isi Web Of Knowledge, Rǎzvan Andonie, Ioan Dzitac
All Faculty Scholarship for the College of the Sciences
The academic world has come to place enormous weight on bibliometric measures to assess the value of scientific publications. Our paper has two major goals. First, we discuss the limits of numerical assessment tools as applied to computer science publications. Second, we give guidelines on how to write a good paper, where to submit the manuscript, and how to deal with the reviewing process. We report our experience as editors of International Journal of Computers Communications & Control (IJCCC). We analyze two important aspects of publishing: plagiarism and peer reviewing. As an example, we discuss the promotion assessment criteria used …
Detecting Patterns Of Fraudulent Behavior In Forensic Accounting, Boris Kovalerchuk, Evgenii Vityaev
Detecting Patterns Of Fraudulent Behavior In Forensic Accounting, Boris Kovalerchuk, Evgenii Vityaev
All Faculty Scholarship for the College of the Sciences
Often evidence from a single case does not reveal any suspicious patterns to aid investigations in forensic accounting and other forensic fields. In contrast, correlation of sets of evidence from several cases with suitable background knowledge may reveal suspicious patterns. Link Discovery (LD) has recently emerged as a promising new area for such tasks. Currently LD mostly relies on deterministic graphical techniques. Other relevant techniques are Bayesian probabilistic and causal networks. These techniques need further development to handle rare events. This paper combines first-order logic (FOL) and probabilistic semantic inference (PSI) to address this challenge. Previous research has shown this …