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Full-Text Articles in Physical Sciences and Mathematics
City Of Newport News, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel Schatt, Dave Weiss
City Of Newport News, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel Schatt, Dave Weiss
Reports
This shoreline inventory is developed as a tool for assessing conditions along the tidal shoreline in the City of Newport News. Field data were collected during July and September 2002, and data were updated using VBMP 2006/2007 imagery. Conditions are reported for three zones within the immediate riparian river area: riparian land use, bank and buffers, and the shoreline. A series of maps and tabular data are published to illustrate and quantify results of an extensive shoreline survey. Shorelines of the James River, Skiffes Creek, Warwick River and Deep Creek, including small tributaries, were surveyed. Some sections were coded using …
2009 York County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
2009 York County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Reports
The data inventory developed for the Shoreline Inventory is based on a three tiered shoreline assessment approach. In most cases this assessment characterizes conditions that can be observed from a small boat navigating along the shoreline. The three tiered shoreline assessment approach divides the shorezone into three regions: 1) the immediate riparian zone, evaluated for land use; 2) the bank, evaluated for height, stability, cover and natural protection; and 3) the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes.
The 2009 Inventory for York County was updated using on-screen, digitizing techniques in ArcMap v10.0 while …
The Representation Of Context In Computer Software, Hisham Assal, Kym Pohl, Jens G. Pohl
The Representation Of Context In Computer Software, Hisham Assal, Kym Pohl, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
Computers do not have the equivalent of a human cognitive system and therefore store data simply as the numbers and words that are entered into the computer. For a computer to interpret data it requires an information structure that provides at least some level of context. This can be accomplished utilizing an ontology of objects with characteristics, semantic behavior, and a rich set of relationships to create a virtual version of real world situations and provide the context within which intelligent logic (e.g., agents) can automatically operate.
This paper discusses the process of developing ontologies that serve to …
Theory Of Planned Behavior Model Fit Using Atod Prevention Program Data, Ying Jin
Theory Of Planned Behavior Model Fit Using Atod Prevention Program Data, Ying Jin
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
This report is to test the Theory of Planned Behavior (TpB) model fit using the data collected from the ATOD Prevention Program conducted by the Operation Snowball Program from year 2004 to 2007 in Naperville, Illinois. Measurement Model and Structural Equation Modeling are used as principal modeling methods to test internal consistency of assigned measures for each construct and the dependency between constructs respectively. The results show that the ATOD Prevention Program data does not fit the TpB model perfectly. Extra paths should be added to the original theoretical model in order to obtain a satisfactory model fit.
Data For Cybersecurity Research: Process And ‘Wish List’, Jean Camp, Lorrie Cranor, Nick Feamster, Joan Feigenbaum, Stephanie Forrest, David Kotz, Wenke Lee, Patrick Lincoln, Vern Paxson, Mike Reiter, Ron Rivest, William Sanders, Stefan Savage, Sean Smith, Eugene Spafford, Sal Stolfo
Data For Cybersecurity Research: Process And ‘Wish List’, Jean Camp, Lorrie Cranor, Nick Feamster, Joan Feigenbaum, Stephanie Forrest, David Kotz, Wenke Lee, Patrick Lincoln, Vern Paxson, Mike Reiter, Ron Rivest, William Sanders, Stefan Savage, Sean Smith, Eugene Spafford, Sal Stolfo
Other Faculty Materials
This document identifies data needs of the security research community. This document is in response to a request for a “data wish list”. Because specific data needs will evolve in conjunction with evolving threats and research problems, we augment the wish list with commentary about some of the broader issues for data usage.
Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Tamia Rudnicky, Daniel E. Schatt, Karinna Nunez, Karen Reay, David Weiss
Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Tamia Rudnicky, Daniel E. Schatt, Karinna Nunez, Karen Reay, David Weiss
Reports
The data inventory developed for the Shoreline Situation Reports are based on a three-tiered shoreline assessment approach. This assessment characterizes conditions in the shorezone observed from a small boat moving along the shoreline. Handheld GPS units record data observations in the field. The three tiered shoreline assessment approach divides the shorezone into three regions:
-
the immediate riparian zone, evaluated for land use
-
the bank, evaluated for height, stability and natural protection
-
the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes.
Three GIS coverages are generated from the collection technique. The Mathews_lubc coverage are features related …
Optimal Candidate Generation In Spatial Co-Location Mining, Zhongshan Lin
Optimal Candidate Generation In Spatial Co-Location Mining, Zhongshan Lin
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Existing spatial co-location algorithms based on levels suffer from generating extra, nonclique candidate instances. Thus, they require cliqueness checking at every level. In this thesis, a novel, spatial co-location mining algorithm that automatically generates co-located spatial features without generating any nonclique candidates at any level is proposed. Subsequently, this algorithm generates fewer candidates than other existing level-wise, co-location algorithms without losing any pertinent information. The benefits of this algorithm have been clearly observed at early stages in the mining process.
Ma, Connecticut River, Holyoke Dam, Brett Towler
Ma, Connecticut River, Holyoke Dam, Brett Towler
Fish Passage Data Archive
No abstract provided.
2009 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2009 Chesapeake Bay Bridge Tunnel Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2009 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2009 Hampton Roads Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2009 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2009 Gloucester Point Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
2009 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
2009 Wachapreague Station Tide Prediction Calendars, Virginia Institute Of Marine Science, David A. Evans
Miscellaneous
These calendars are produced monthly using David Evans' Tidecal.
Gis Data: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Gis Data: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Data
The data inventory developed for the Shoreline Situation Reports are based on a three-tiered shoreline assessment approach. This assessment characterizes conditions in the shorezone observed from a small boat moving along the shoreline. Handheld GPS units record data observations in the field. The three tiered shoreline assessment approach divides the shorezone into three regions:
-
the immediate riparian zone, evaluated for land use
-
the bank, evaluated for height, stability and natural protection
-
the shoreline, describing the presence of shoreline structures for shore protection and recreational purposes.
Three GIS coverages are generated from the collection technique. The Mathews_lubc coverage are features related …
The Most Effective Statistical Approach To Correct Environmental Satellite Data, Md Zahidur Rahman, Leonid Roytman
The Most Effective Statistical Approach To Correct Environmental Satellite Data, Md Zahidur Rahman, Leonid Roytman
Publications and Research
The proposed paper apply novel statistical approach to correct radiometric data measured by Advanced Very High Resolution Radiometers (AVHRR) onboard the National Oceanic and Atmospheric Administration (NOAA) Polar Orbiting Environmental Satellites (POES). This paper investigates Normalized Difference Vegetation Index (NDVI) stability in the NOAA/NESDIS Global Vegetation Index (GVI) data during 1982-2003. AVHRR weekly data for the five NOAA afternoon satellites for the China dataset is studied, for it includes a wide variety of different ecosystems represented globally. It was found that data for the years 1988, 1992, 1993, 1994, 1995 and 2000 are not stable enough compared to other years …
Explicit Connections Between Longitudinal Data Analysis And Kernel Machines, N D. Pearce, M. P. Wand
Explicit Connections Between Longitudinal Data Analysis And Kernel Machines, N D. Pearce, M. P. Wand
Faculty of Informatics - Papers (Archive)
Two areas of research - longitudinal data analysis and kernel machines - have large, but mostly distinct, literatures. This article shows explicitly that both fields have much in common with each other. In particular, many popular longitudinal data fitting procedures are special types of kernel machines. These connections have the potential to provide fruitful cross-fertilization between longitudinal data analytic and kernel machine methodology.
Clustering, Classification And Explanatory Rules From Harmonic Monitoring Data, Ali Asheibi, David A. Stirling, Danny Sutanto, D A. Robinson
Clustering, Classification And Explanatory Rules From Harmonic Monitoring Data, Ali Asheibi, David A. Stirling, Danny Sutanto, D A. Robinson
Faculty of Informatics - Papers (Archive)
A method based on the successful AutoClass (Cheeseman & Stutz, 1996) and the Snob research programs (Wallace & Dowe, 1994); (Baxter & Wallace, 1996) has been chosen for our research work on harmonic classification. The method utilizes mixture models (McLachlan, 1992) as a representation of the formulated clusters. This research is principally based on the formation of such mixture models (typically based on Gaussian distributions) through a Minimum Message Length (MML) encoding scheme (Wallace & Boulton, 1968). During the formation of such mixture models the various derivative tools (algorithms) allow for the automated selection of the number of clusters and …
Learning Pattern Classification Tasks With Imbalanced Data Sets, Son Lam Phung, Abdesselam Bouzerdoum, Giang Hoang Nguyen
Learning Pattern Classification Tasks With Imbalanced Data Sets, Son Lam Phung, Abdesselam Bouzerdoum, Giang Hoang Nguyen
Faculty of Informatics - Papers (Archive)
This chapter is concerned with the class imbalance problem, which has been recognised as a crucial problem in machine learning and data mining. The problem occurs when there are significantly fewer training instances of one class compared to another class.
Error Correlation Between Co2 And Co As Constraint For Co2 Flux Inversions Using Satellite Data, H Wang, D J. Jacob, M Kopacz, D B. A Jones, P Suntharalingam, J A. Fisher, R Nassar, S Pawson, J E. Nielsen
Error Correlation Between Co2 And Co As Constraint For Co2 Flux Inversions Using Satellite Data, H Wang, D J. Jacob, M Kopacz, D B. A Jones, P Suntharalingam, J A. Fisher, R Nassar, S Pawson, J E. Nielsen
Faculty of Science - Papers (Archive)
Inverse modeling of CO2 satellite observations to better quantify carbon surface fluxes requires a chemical transport model (CTM) to relate the fluxes to the observed column concentrations. CTM transport error is a major source of uncertainty. We show that its effect can be reduced by using CO satellite observations as additional constraint in a joint CO2-CO inversion. CO is measured from space with high precision, is strongly correlated with CO2, and is more sensitive than CO2 to CTM transport errors on synoptic and smaller scales. Exploiting this constraint requires statistics for the CTM transport error correlation between CO2 and CO, …
Data Report: Clast Counts And Petrography Of Gravels From Site C0007, Iodp Expedition 316, Nankai Trough, Christopher L. Fergusson
Data Report: Clast Counts And Petrography Of Gravels From Site C0007, Iodp Expedition 316, Nankai Trough, Christopher L. Fergusson
Faculty of Science - Papers (Archive)
Gravel beds drilled during Integrated Ocean Drilling Program Expedition 316 at Site C0007 in the eastern Nankai Trough, ~100km offshore from the Kii Peninsula of Honshu, southwest Japan, have been investigated using 26 samples from two horizons (Cores 316-C0007C/C-17H and 316-C0007D-12R). The gravel from Core 316-C0007c-17H is from a 1.7m thick layer, whereas the gravel from Core 316-C0007D-12R is from a layer 4.55m thick. The upper parts of both layers are normally graded. The gravel is clast-supported, polymictic, of granule to pebble size, moderately to poorly sorted, and with subrounded to angular fragments. Clast types are similar from both cores …
Ordway Weather And Water Data 2009, Macalester College
Ordway Weather And Water Data 2009, Macalester College
Ordway Weather Data
Contains daily readings for the year indicated. The values include: PAR umol/s/m2, avg wind dir degree, avg windspeed mph, Avg Max Windspeed mph, Avg airtemp C, Avg RH %, Avg BP mmHg, Avg DailyRain in, Avg Rain Duration sec, Avg RainIntensity in/h, Avg Water Temp F, Avg sp cond mS/cm, avg pH, Avg Turb NTU+, Avg ODOSat %, Avg ODO mg/L, Water station PAR umol/s/m2, Avg Water Level m. File format: CSV.
Summary Tables: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Summary Tables: Mathews County, Virginia Shoreline Inventory Report Methods And Guidelines, Marcia Berman, Harry Berquist, Sharon Killeen, Carl Hershner, Karinna Nunez, Karen Reay, Tamia Rudnicky, Daniel E. Schatt, David Weiss
Reports
The Shoreline Inventory Summary Tables quantify observed conditions based on river systems, such as the combined length of linear features (e.g. shoreline miles surveyed, miles of bulkhead and revetment), the total number of point features (e.g. docks, boathouses, boat ramps) & total acres of polygon features (tidal marshes).