Sibyl 2002

https://digitalcommons.otterbein.edu/yearbooks/1010/thumbnail.jp

2006 Homecoming: There\u27s Room for Everyone Under the Big Top

The Program of Events and Activities for the 2006 Homecoming Weekend.https://digitalcommons.otterbein.edu/homecoming/1010/thumbnail.jp

Sibyl 2003

https://digitalcommons.otterbein.edu/yearbooks/1009/thumbnail.jp

Sibyl 2002

https://digitalcommons.otterbein.edu/yearbooks/1010/thumbnail.jp

Experimental Methodology for the Remote and Autonomous Monitoring of Oyster Reef Habitats and Oyster Reef Restoration

The development and execution of this project was made possible through varied professional and academic experiences from previous work in monitoring juvenile fish populations and water quality in the Chesapeake Bay to training in Geographical Information Systems, Spatial Statistics, Ecology, Hydrology and Water Resources, and Strategies in Watershed Management at Johns Hopkins as well as my partnership with Dr. Jim Blanchard of the Unmanned Autonomous Systems Academy (UASA). The assemblage of technical information and creation of procedural documents in this document represents the first attempt at monitoring of oyster reefs in this manner. As such, this is a working document and will attempt to accurately represent the experimental nature of it’s establishment. This project details the creation of an experimental habitat assessment protocol utilizing small Unmanned Aircraft Systems (sUAS) and Remotely Operated Vehicles (ROVs) for the monitoring of oyster reef habitats and oyster reef restoration projects. With as little as 43% of oyster restoration projects in the Chesapeake having monitoring data on record (Kramer and Sellner 2009) (Kennedy et al. 2011), this paper explores the feasibility of increasing the amount of monitored reefs through the utilization of this experimental autonomous method in place of traditional monitoring methods. The goal of this paper is to provide the procedural framework and background information needed to recreate this experimental design. Specifically, this paper is intended for organizations that are vested in the success of oyster reef restoration projects. Oyster reefs play an important role in the health of tidal habitats by providing ecosystem services such as water column filtration, increased substrate complexity, and shoreline erosion protection. The importance of developing this novel method of habitat assessment is to reduce the impact of observation in the system which is being studied and to increase the feasibility of oyster monitoring for the many restoration projects around the world. The many stages of this project provided valuable experience in project development, research design, field operations, geographical information systems (GIS), sUAS and ROV operations, as well as design and execution of sampling protocols

Annual reports town officers Tamworth, New Hampshire for the fiscal year ending December 31, 1975 vital statistics for 1975.

This is an annual report containing vital statistics for a town/city in the state of New Hampshire

Comprehensive Financial Plan - Clayton Cole Anderson

Case Study from FFP 595, the capstone course in the masters program for Family Financial Planning. Case study is submitted by Clayton Cole Anderson. Includes a comprehensive financial plan for fictional clients Tyler and Mia Bedo. Fictitious names being used throughout document

AI Stylist: What Do I Wear? Mobile Application

This thesis is an exploration of the process of getting dressed, and how it is incredibly complex. This paper identifies the multiple variables that go into the decisions and motives people have when styling a complete outfit. These variables will be explored through my expertise of being a personal stylist and shopper, and with expert consultations in different technology fields. The purpose of the What Do I Wear? mobile application is to assist people getting dressed by recommending an outfit that suits the users body shape, activity, represents their personal style, and is suitable for the weather. The final product is a mobile application that functions as a personal stylist, utilizing an artificial intelligence agent trained on using identified variables when styling an outfit