URE-Kaiem Frink-ECSU-Alumnus

Kaiem L. Frink

Alumnus
of
Elizabeth City State University

Purdue University Summer 2008
Interdisciplinary Geosciences Research Kaiem L. Frink[1], Gilbert L. Rochon[2], Larry Biehl[2], Larry Theller[3], Cliff Robinson [2,3] 1Purdue Research Opportunities Program (PROP), West Lafayette, IN, USA 2Purdue University-Information Technology, Rosen Center for Advanced Computing, Purdue Terrestrial Observatory 3Purdue University, Department of Agricultural & Biological Engineering, W. Lafayette, IN, USA Poster (JPEG) The aim of this Interdisciplinary Geosciences Research is to bring together an array of related disciplines that could benefit from both analysis of remotely sensed multispectral data and high performance computing. The specific titles & abstracts for the presentations, proposals, & publications that were developed are as follows: “Overcoming Bandwidth and Satellite Communications Limitations to Accelerate Applications of Remote Sensing and High Performance Computing For Sustainable African Development: Contributions From Egypt, Nigeria and South Africa” submitted for oral presentation at IEEE IGARSS 2008, Boston, MA July 6-12 “Early Warning & Mitigation Systems For Vector-Borne & Zoonotic Diseases” submitted for oral presentation at African Association of Remote Sensing of the Environment (AARSE) conference October 2008, Accra, Ghana “High Performance Computing Applications to Real-Time Remote Sensing Life Cycle” submitted to NASA Applied Information Systems Research (AISR) Award Range: 100K to $1Million “Monitoring the 2008 Spring Flood in Indiana” submitted to IEEE IGARSS 2008 for poster presentation, Boston, MA July 6-12 “Deploying Multi-Core Computational Technology for Rapid Analysis, Intelligent Archiving & Dissemination of Heterogenous Data” submitted to NASA Research Opportunities in Space and Earth Science (ROSES) Advanced Information Systems Technology (AIST)

Purdue University Summer 2008 MONITORING THE 2008 SPRING FLOOD IN INDIANA
Co-Authors:Guofan Shao, Jie Shan, Ejaz Hussain, KyoHyouk Kim, Lina Tang, Larry Biehl, Chris Johannsen, Kaiem Frink, Cliff Robinson, Jean Pierre Antelo, Gilbert Rochon, Bernard Engel, Larry Theller

Poster (JPEG)
Regional Scale MODIS Images The flooding was monitored daily with NASA MODIS satellite images at regional scale, 250 - 500 meters spatial resolution, received by the Purdue Terrestrial Observatory (PTO, http://www.itap.purdue.edu/pto/). The images below represent channels 6 (middle IR), 2 (near infrared) and 1 (red) displayed as red-green-blue. Water including flooded areas are displayed as blue to black. Greenish colors below represent forested and grassy areas. The browns and oranges represent bare ground or newly planted crop areas. Note the increase in the river flooding between June 8 and June 10.
Summary •The use of Landsat images for assisting in the documentation of croplands flooded by the June 2008 floodwaters in Indiana is still being evaluated. •Federal and State Agencies responsible for relief funds to Indiana citizens that had property damaged by the floods need documentation that the flood is what caused the damage. •The cropland numbers shown in our initial analysis are estimates since we do not have reference information available for 2008 but the use of the USDA National Agriculture Statistics Service (NASS) data from 2007 is a good guide. •Farmland in the bottomland areas next to major streams and rivers have a higher percentage of corn vs. soybeans planted due to the higher possibility of corn to withstand flooding. •All of the counties shown in our example have been requested by the Indiana Governor to be declared by the Federal Government as “flood disaster counties”. •The authors are continuing to share the results of the analyses of this data with all the agencies that can benefit from having all relevant land use data and information available in making their decisions.
Forward Looking Flood Impacts Using FEMA’s HAZUS Model
In order to enhance preparedness and damage assessment for future flood disasters, the Federal Emergency Management Agency (FEMA) has contracted with the Polis Center of Indiana University Purdue University at Indianapolis (IUPUI) to develop 100 YR Flood Digital Maps using FEMA's HAZUS modeling software, which has modules to assess damage from floods, hurricanes and earthquakes. A subsequent subcontract to Purdue University-West Lafayette entails development of such 100 YR maps for 785 countries in the USA. Given the recent devastating recent floods in the Midwest, discussions are now underway to expand the initiative to include an additional 100+ counties at risk, as well as to develop 500 year flood maps for 300+ counties in Iowa, Illinois and Missouri. The image to the right represents an output map from HAZUS illustrating expected flooded areas from a “100 year” flood (actually a 1-in-100 chance that a flood this size will happen during any given year).
Purdue University Summer 2008 EARLY WARNING & MITIGATION SYSTEMS FOR VECTOR-BORNE & ZOONOTIC DISEASES
CO-AUTHORS: Joseph E. Quansah1&2, Gilbert L. Rochon1, Larry L. Biehl1, Bereket Araya1&2, Souleymane Fall1&5, Chetan Maringanti1&2, Cliff Robinson1&2 , Bertin Hilaire Mbongo2, Lova Rakotomalala 3, Akilah Martin4, Angel Torres Valcarcel5, Emile Saul Rochon6, Kaiem Frink7, Jean Pierre Antelo7, Jarrard Smith-Hopkins7, Julie Nelson7 and Milton Flournoy IV7
1Purdue University-Purdue Terrestrial Observatory;
2Purdue U., Dept. of Agricultural & Biological Engineering;
3Purdue U. Cytometry for Life-Africa (C4L);
4DePaul University School for New Learning-Chicago, IL;
5Purdue U. Dept. of Earth & Atmospheric Sciences;
6University of Pennsylvania Post-Baccalaureate Pre-Health Program;
7Purdue Research Opportunities Program (PROP)]
SUBMITTED FOR PRESENTATION AT THE 7TH ASSOCIATION FOR REMOTE SENSING OF ENVIRONMENT (AARSE) CONFERENCE, TO BE HELD IN ACCRA, GHANA, OCTOBER 27-31, 2008.
ABSTRACT: The authors review the current state-of-the-science with respect to remote sensing applications for infectious disease vector habitat identification, as well as for enabling early warning and mitigation of epidemics, epizootics and anticipated pandemic zoonoses. Current methodologies build upon prior progress made by USAID and by UNFAO’s Africa Real-Time Environmental Monitoring Information System (ARTEMIS), in famine early warning systems (FEWS) and in monitoring vulnerability to desert locust (Schistocerca gregaria) infestations, respectively. The potential is investigated for incorporating epidemiological modeling software (e.g. IBM’s open source Spatio-Temporal Epidemiological Modeler-STEM) with data from remote sensing, in situ sensing and field investigations, so as to facilitate early warning and mitigation initiatives for an array of infectious diseases within Africa. Moreover, the constraints with respect to cyberinfrastructure, bandwidth and telecommunications in Africa are examined, with respect to effectively supporting time-critical data dissemination for disaster management, particularly as relates to public health and safety. Finally, the details of a NATO Science for Peace (SfP) supported Planning Grant are described for development of a plan for university-based real-time remote sensing ground stations in Egypt for early warning and mitigation of anthropogenic and biogenic disasters, including epidemics and epizootics.

Purdue University Summer 2008 "Overcoming Bandwidth and Satellite Communications Limitations to Accelerate Applications of Remote Sensing and High Performance Computing for African Development: Contributions from Egypt, Nigeria and South Africa"
CO-AUTHORS: Gilbert L. Rochon1, Magdy Wahab2, Gad El Qady3, Gamal El Afandi4, Ado Dan-Isa5, Happy Sithole6, Khomotso Kganyago6, Souleymane Fall7, Joseph Quansah8, Akilah Martin9, Bereket Araya10, Chetan Maringanti10, Kaiem Frink11 and Jean Pierre Antelo12
Research Paper (Word)
1	Purdue University-Information Technology; Chief Scientist, Rosen Center for Advanced Computing, Director, Purdue Terrestrial Observatory & Associate Vice President for Collaborative Research. West Lafayette, Indiana, USA Contact: rochon@purdue.edu
2	Cairo University-Faculty of Science; Professor & Chair, Dept. of Astronomy & Meteorology, Cairo, Egypt
3	National Research Institute for Astronomy & Geophysics-Cairo, Egypt
4	Al Ahzar University- Assoc. Professor of Meteorology & Astronomy, Cairo, Egypt
5	Bayero University- Chair, Dept. of Computer Engineering- Kano, Nigeria
6	Center for High Performance Computing (CHCP)- Capetown, South Africa
7	Doctoral Student, Dept. of Earth & Atmospheric Sciences, Purdue University- West Lafayette, Indiana, USA
8	Post-Doc, Department of Agricultural & Biological Engineering, Purdue University- West Lafayette, Indiana USA
9	DePaul University, School for New Learning, Chicago, IL, USA
10	Graduate Student, Department of Agricultural & Biological Engineering, Purdue University- West Lafayette, Indiana, USA
11	Elizabeth City State University, NC and Scholar, Purdue Research Opportunities Program (PROP) West Lafayette, IN, USA
12	University of Florida, Gainesville, FL and Scholar, Purdue Research Opportunities Program (PROP) West Lafayette, IN, USA
Elizabeth CIty State Univeristy Polar Grid/Polycom Team :: Mr. Je'aime Powell, Mentor Vernon Brown, Michael Jefferson Jr., Kaiem Frink Title: Implementation of a Polycom VSX 8000 Teleconferencing System: Developing Standards and Practices for Participating in Virtual Conferences
Website Research Paper-(PDF) Poster Powerpoint
Carnegie Mellon University Information Systems Internship Severed as Assistant Project Manager of the A-Team. Where we developed an Website Information Systems for a Non profit Organization in the community WPDI.
Mentors: Dr. Jennifer Foster, Dr. Randy Weinberg, Dr. Larry Heimann Jeronna G. Pope-Savannah State University Richard Osei-Langston University Bruce E. Davis-Lincoln University Tiffany D. Francis-Lincoln University Melissa O. Elliott-Hampton University Lisa M. Hall-Oakwood College Ryan C. Lowe-Oakwood College Kaiem L. Frink-Elizabeth City State University Phase Report One-(Word) Phase Report Two-(Word) Phase Report Three -(Word) Power Point Power Point -(PDF)
Undergraduate Research 2006-2007 A Study to Determine Groundwater Quality in Pasquotank County using GIS
Mentors: Joseph Ausby, Keisha Wilkins Research Team Members Lee Smalls Jr, Akeem Archer, Kaiem L. Frink Research Paper-(PDF) Research Poster(JPG) Power Point Ground water is the water beneath the surface of the ground. It consist largely of surface water that has seeped down and is the source of water in springs and wells. Groundwater makes up about twenty percent of the world’s fresh water supply, which is about 0.61 percent of the entire world’s water supply (Environment Canada Website). Because it is a source for well water it is important to monitor the waters quality to insure that it is safe for consumption. Several factors can cause groundwater pollution including septic systems, small disposal pits, house and garden chemicals, stream infiltration, landfills, underground storage tanks, and pipelines. The 2006-07 research team will investigate the effects that a sanitary septic systems has on groundwater, in addition to other potential sources of groundwater contamination in Pasquotank County. A database will be created using ArcGIS and Visual Basic Applications to input existing and captured groundwater data. This database will be used to conduct analyzes on contamination levels, nutrient levels, and to compare residents within a certain area who have septic systems instead of wells. This study will help to identify the quality of groundwater in Pasquotank County. To accomplish this project ArcGIS and Visual Basic Application will be utilized. Existing data will be collected from the public health department and other public agencies. Data will also be collected through ground truthing by sampling groundwater from a monitoring well.
URE OMS 2006 Undergraduate Research Experience in Oceanic and Marine Science Antarctic Temperature Mapping
Mentor Dr. Malcolm LeCompte Team member Lee Smalls Jr. Research Paper-(PDF) Research Poster(JPG) Power Point Estimating Antarctic Firn Average Emissivity Trends at the Ski Hi Automatic Weather Station Firn is compacted, near-surface snow enduring for more than one season not yet compressed into glacial ice. Knowledge of firn surface temperature trends across the Antarctic ice sheet is useful for documenting and quantifying change and providing a temporal and spatial context for research during the Antarctic International Polar Year (IPY). Satellite passive microwave radiometer data can provide surface temperature trend estimates across limited temporal and spatial gaps in Automatic Weather Station (AWS) coverage. Techniques to derive surface temperatures from passive microwave data have been pioneered by Jezek et al., (1993) and. Shuman et al., (1995). Using the methods of previous researchers, the Summer 2006 Undergraduate Research Experience (URE) Antarctic Temperature Mapping Team, is comparing archived surface temperature data from an AWS on the West Antarctic Ice Sheet with coincident daily brightness temperature data collected by the Special Sensor Microwave Imager (SSM/I) aboard the Defense Meteorology Satellite Program (DMSP) polar orbiting meteorology satellite series. The ratio of passive microwave brightness temperature and AWS in-situ near surface temperature provides the firn emissivity estimate necessary to extrapolate surface temperature trends across temporal and spatial gaps in either the AWS or SSM/I record. The relationship between emissivity and surface temperature is generally known as the ‘Rayleigh-Jeans Approximation’ (Hall and Martinec, 1985). The spatial and temporal variability of firn emissivity is not well understood but known to be much less variable than daily temperature.
2005-2006 Multimedia Research Team Automated Approach of Cataloguing TeraScan Images utilizing Exchangeable Image File Format (EXIF) Data
Team member: Shaquera Mosley,Danielle Wright, Garry Cameron, Lee Smalls, Jr - Mentor: Jeff Wood Research Paper-PDF Research Poster(JPG) Power Point ABSTRACT Automated Approach of Cataloguing TeraScan Images utilizing Exchangeable Image File Format (EXIF) Data The Center of Excellence in Remote Sensing Education and Research (CERSER) on the campus of Elizabeth City State University is currently tasked with the responsibility of receiving remotely sensed Advanced Very High Resolution Radiometer (AVHRR) and Sea Wide Field-of-View Sensor (SeaWiFS) data for research projects year round. This data is collected, processed, annotated, and transformed into images in the Tagged Image File Format (tiff). These tiff images are then uploaded to the CERSER archive library server located at http://cerser.ecsu.edu. Once uploaded, they are converted into various resolutions and their information is added to a tracking database maintained with Microsoft Access software. This database provides a searchable means for retrieving satellite image data through various parameters. The conversion of the tiff file to its various resolutions and the entry of data into the tracking database are currently done manually by the CERSER webmaster. The amount of time to enter one image into the system is approximately ten minutes. The process is also limited by the requirement that the webmaster be located at one computer terminal located on the campus to perform these tasks. The goal of the 2005 ONR Multimedia Team (MMT) is to automate this process utilizing data captured from the tiff files Exchangeable Image File Format (EXIF) data. This data contains the capture time and date along with file resolution and file size. Utilizing this information will allow various scripts to be written eliminating the necessity for the manual conversions and data input to be made resulting in a more up to date and accurate archiving system of the images. Various methods and languages will be utilized including Java, JavaScript, and Adobe Photoshop Action Scripts to complete this process.
Undergraduate Research Experience in Oceanic, Marine and Space Sciences Summer 2005 Beaufort Stock Assessment
Research Paper-PDF Research Poster (JPG) Power Point Research Paper-Word Team Member: Anthony Anderson-- Mentor: Dr. M. Prager-Resume Abstract This internship involved the development of a graphical user interface between two software packages, AD Model Builder (ADMB) and the statistics package R. The ADMB software was used to fit models and then R was used to graph them. ADMB generates a large amount of data that must be graphed in order to obtain representative results. The interface developed allows an ADMB program to output data in a format readable by R. The interface also contains a set of graphic functions in R that formulate many common graphs. The benefits to NOAA and the Population Dynamics Team is an improved graphics function. This internship increased familiarity in general with scientific programming and particularly with the R language.

A Comparative Study of Energy Forms Used by the G-8 Between the Years 1980-2006

Mentor Dr. Andrea Lawerence
Co-Authors: Martin O. Arienmughare1, Brandi R. Brehon2, Kaiem L. Frink3, April J. Harry4, Kenneth A. Joyner5
1Lincoln University, Lincoln University, Pennsylvania
2 Elizabeth City State University, Elizabeth City, North Carolina
3 Elizabeth City State University, Elizabeth City, North Carolina
4Xavier University of Louisiana, New Orleans, Louisiana
5Elizabeth City State University, Elizabeth City, North Carolina

Research Paper-(Word)
Power Point
Abstract – The objective for the 2007 Elizabeth City State University-National Association of Mathematicians Computational Science and Scientific Visualization Summer Institute research project is to compare the various major types of energy sources used by the G-8 countries—Canada, France, Germany, Italy, Japan, Russia, United Kingdom, and United States—with the assistance of data for the years 1980-2006 from reliable online resources. Comparisons will determine specifically what types of energy sources are used by these countries and any concerns that they may produce (environmental or otherwise). This project will evaluate uses of energy for each G-8 country by using regression analysis to predict the energy consumption for each country in 2010. Lines of Regression will be displayed by graphs created in Minitab and MathCAD. Ultimately, we intend to conclude that the consumption of energy for each country will increase by the year 2010.

Graph Theory Applications in Relation to the Study of the Ecosystem and DNA Sequencing

Course: Discrete Methods Spring 2007
Group Project 2007
Erika Mizelle, Kaiem L. Frink
Research Paper-(Word)
Power Point

Abstract - The word graph (graf) comes from the Greek word graphein and is a noun. It is a diagram indicating any sort of relationship between two or more things by means of a system of dots, curves, bars, or lines. The word ecosystem (e’ko sis’tem) is from the Greek word oikos meaning habitat + system. It is defined as a community of organisms and their nonliving environment.

Elizabeth City State University GIS Map

GEOL 460-Summer 2006
Mentor: Elizabeth Noble
Title: Elizabeth City State University GIS Map
Objective: To generate an interactive map of Elizabeth State University Using GIS technologies. Using the GIS technologies the follow goals are set forth for the Elizabeth City State University GIS Map.

Determining the shortest path to the buildings on campus.
Shortest path for Motor Vehicles-Drop off Services
Incorporating Elizabeth City Bus Routes-Prior Project conducted by (Heather)
Technologies: Basin Pro
ArcView GIS Version 3.1
Image Remote Sensing
Product: GIS Map & Database to be used university.

Acadmic year 2004-2005 Multimedia Research Team
Study on Implementation of Macromedia ColdFusion as a Web Application ServerStudy on Implementation of Macromedia ColdFusion as a Web Application Server

Team member: Joanelle Baptiste-- Mentor: Jeff Wood
Research Paper-PDF
Research Poster-JPG
Power Point
Abstract
The ONR 2004-2005 Multimedia Research Team studied the implementation of Macromedia’s ColdFusion Server software as a web application server for small scale online databases. ColdFusion is utilized by the ECSU staff and integrates with the current Macromedia tools employed by the ONR media developers. The team’s goal was to utilize the University server's ColdFusion software for the implementation of a small, startup site. This site involved documenting the Submerged Aquatic Vegetation (SAV) Herbarium of Northeast North Carolina waters for the ECSU Geological, Environmental, and Marine Sciences (GEMS) department. The team developed the initial site with database files in place to begin the recording of information. The future phases of will include the insertion, manipulation, and retrieval of actual gathered data. This project sought to research the learning curve, integration, and ease of use of the ColdFusion software in comparison with other web application software.