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The ecological interrelationships between the habitat composition, habitat quality and abundance of three wild ungulate species, viz. Chital (Axis axis), Sambar (Cervus unicolor) and Nilgai (Boselaphus tragocamelus) were investigated in three National Parks in India. The study sites differ in the structure and composition of the habitat and also occur along a rainfall gradient. The study incorporates a new approach of using forest compartments for gathering baseline ecological data. The significance of these compartments in serving as ecological bench-marks for monitoring habitat condition has been demonstrated. Toe-point transect, a modification of the point-intercept method has been extensively used to obtain rapid, reliable but coarse ecological data on ground and aerial cover and the results obtained are compared with those from the visual estimation method. Motorcycle and foot-based line transects have been used to obtain data on animal abundance. The significance of the results indicating that motorcycle transects are an efficient and reliable means of estimating the abundance of Chital and Nilgai, while foot transects provide more reliable estimates of Sambar abundance is discussed. Data on 22 habitat variables were gathered in the summer and winter seasons from all the study sites and were statistically analysed using Generalized Linear Interactive Modelling (GLIM) procedures. The habitat requirements of the three ungulate species have been determined, which enhance our understanding of the complex herbivore-habitat relationships. Analyses of habitat selection, central to the understanding of animal ecology, has been done to understand the mechanisms which permit species to co-exist. The results indicate that the three species are ecologically separated and that resource partitioning is achieved primarily by habitat partitioning. Sambar, a forest ungulate, largely occurs in the forest-woodland habitats; Chital, a species of the habitat 'edge', occurs in the woodland-grassland habitats while Nilgai prefers the miscellaneousopen and grassland habitats. The three ungulate species together contribute more than 78% to the total wild ungulate biomass. This is presumably because these species are by nature generalist and are able to exploit the unpredictable resources more efficiently than specialist species. The differential biomass/rainfall relationships of three species observed in the study have been explained on the basis of habitat requirements and feeding strategies adopted by these species. The ecological biogeography of the three ungulate species has been discussed and their ecological equivalents in Africa have been examined. The significance of above in enhancing our understanding of evolutionary biology is discussed. The study has shown that habitat composition is an all-important factor in large herbivore biology and that animal density may be used as an indicator of habitat quality.

This paper describes a data acquisition system developed for an intermediate energy nuclear scattering experiment. Equipment standards of CAMAC and NIM were used together with a 12K minicomputer and an industry compatible magnetic tape driver. The higher level languages of BASIC and FORTRAN were equipped with subroutines that allow input/output communication with the CAMAC data acquisition system. The BASIC-CAMAC system proved to be most useful to the experimenter only taking second place to the FORTRAN-CAMAC system when data handling speed was of paramount importance. / Science, Faculty of / Physics and Astronomy, Department of / Graduate

International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada / This paper addresses the development requirements for a digital recorder to be used for fighter environment and attack Helicopter applications. This development is focused on triservice requirements to allow for a common system to meet the needs of various test centers.

Thesis (Ph. D.)--Case Western Reserve University, 2007. / [School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.

Thesis (M.S.)--Ohio University, November, 1984. / Title from PDF t.p.

Thesis (M.C.E.)--University of Delaware, 2008. / Principal faculty advisors: Harry Shenton and Michael J. Chajes, Dept. of Civil & Environmental Engineering. Includes bibliographical references.

AN ABSTRACT OF THE THESIS OF Kirsten Dvorak, for the Master's of Science degree in Behavior Analysis and Therapy, presented on *October 17, 2014, at Southern Illinois University Carbondale. TITLE: AN EVALUATION OF THE USE OF BST TO TEACH A DATA COLLECTION PROCEDURE TO PARENTS OF CHILDREN WITH DISABILITIES MAJOR PROFESSOR: Dr. Joel Ringdahl Behavioral skills training (BST) has been utilized with many different populations for a variety of purposes. This training package has been employed for the purposes of either behavior reduction or skill acquisition and has been successfully employed with staff, parents, and individuals with intellectual disabilities. This present study utilized a BST training package to teach ABC data collection to three parents of children with disabilities. This study extended Shand and Miltenberger's (2013) study by including a post-BST component where the parents collected data on their own children. This study included this component to help determine if the skills learned during BST could be generalized. Two week follow-up sessions were conducted as well. Results indicated that the percentage of correct ABC data forms increased post-BST, and were maintained at follow-up. The study suggested that the skills were generalized to the parent's own children. These results propose that behavioral skills training is an effective method to teach parents to collect data on their children. Future research should be conducted to include longer follow up sessions, and future research should also replicate the study. Replication with similar results would further prove that the skills were generalized to children of the participants following the BST training package.

This thesis explores the concept of using sensors found in normal vehicles, also known as probe vehicles, to collect road infrastructure data. This concept was demonstrated by measuring vertical acceleration using in-vehicle sensors in order to describe road ride quality. Data collection was performed at the Virginia Smart Road using two instrumented vehicles. The gathered information was compared to road profile data collection, which is the current state-of-the-practice in ride quality assessment. Following the concept validation, the acceleration measurements were further analyzed for repeatability and effect of various independent variables (vehicle speed and type). A network-level simulation was completed using the robust set of measurements from the experiment. In addition, methodology for identifying rough sections and locations were established. Results show that under controlled testing conditions, roadway profile can accurately be estimated using probe vehicle acceleration data and may provide a more practical way to measure road smoothness. The analysis also showed that vertical acceleration data from a fleet of probe vehicles can successfully identify poorly-conditioned pavement areas. This suggests that instrumented probe vehicles might be a viable and effective way of implementing a network level roadway health monitoring program in the near future. / Master of Science

A before and after comparison of vehicle occupancy distributions for the Atlanta, GA I-85 HOV to High Occupancy Toll (HOT) lane conversion scheduled for summer 2011, will assess the changes in vehicle and passenger throughput associated with lane conversion. The field deployment plans and data collection methodologies developed for the HOT evaluation were the result of a comprehensive literature review, an examination of previous data collection methods, an evaluation of the physical characteristics of the I-85 corridor, and the testing of a variety of equipment/manpower strategies. The case study in this thesis evaluates the established vehicle occupancy methodology for consistency across multiple observers during parallel data collection efforts. The differences noted in exact matches and consistency across the use of the "uncertain" values developed for field implementation is specifically assessed. Results from this study are the first step in assessing the validity of the data collection methods used on the HOT corridor and will yield recommendations for improving the methodology for future occupancy studies. A separate assessment of the accuracy of the methodology is also being conducted by the research team and will be published under a separate cover.