A Contextual Approach to Real Time, Interactive Narrative Generation

Oral story telling has become a lost art of family histories because social media and technology have taken over the personal interactions that once passed on the important stories and facts from generation to generation. This dissertation presents and evaluates a method of generating a narrative with input from the listener without actually forcing him or her to become an actual character in the narrative. This system is called CAMPFIRE Story Telling System (STS) and employs a contextual approach to story generation. This system uses the Cooperating Context Method (CCM) to generate and tell dynamic stories in real time and can be modified by the listener. CCM was created to overcome the weaknesses found in other contextual approaches during story generation while still meeting the design criteria of 1) being able to plan out a story; 2) being able to create a narrative that is entertaining to the listener; and 3) being able to modify the story that could incorporate the listener\u27s request in the story. The CCM process begins by creating a list of tasks by analyzing the current situation. A list of contexts is narrowed down through a series of algorithms into two lists: high priority and low priority lists. These lists are analyzed and a set of context best suited to handle the tasks are selected. The CAMPFIRE STS was rigorously assessed for its functionality, novelty, and user acceptance as well as the time needed to modify the knowledge base. These evaluations showed that the CAMPFIRE STS has the ability to create novel stories using the same knowledge base. A group of 38 test subjects used and evaluated CAMPFIRE STS with respect to its use for children, story entertainment, story creativity and the system\u27s ease of use answering a extensive survey of 54 questions. The survey showed that CAMPFIRE STS can create stories appropriate for bedtime stories with some minor modifications and that the generated stories are novel and entertaining stories, and that it was an easy system to use

Modeling the Spread of Disease

Mathematically modeling the spread of disease in a population is a focus among epidemiologists. Using an SIR model (susceptible, infected, and recovered), we can create a system of differential equations to help better understand how a disease spreads in a simple environment. However, if we are to create a more realistic environment, computer simulations may be necessary. We can use the results from these simulations to try and find ways to eradicate the disease as efficiently as possible. In this poster, we will present the SIR model, present a system of differential equations that describe the movement of disease in the SIR model, configure and analyze the results of a computer simulation which models and extends the SIR model to create a more realistic environment for the disease to spread, and discuss limitations and future research for this topic. Class: Math 488 – Senior Capstonehttps://commons.und.edu/es-showcase/1012/thumbnail.jp

The Role of the Head Resident as Perceived by Head Residents Student Personnel Staff and Faculty at Central Washington State College

The major aim in undertaking the study was to examine the position of Head Resident by soliciting the views of student Personnel officials, Head Residents, and faculty persons, Further, it was the author\u27s hope that a result of the study might be a clarification of the Head Resident position, based upon a composite viewpoint of the respondents of the study

Georgia Newspaper Coverage Discovering Conventional Practices of the \u27Cherokee Question\u27: Prelude to the Removal, 1828-1832

This thesis analyzes the specific journalistic conventional practices of newspapers in Georgia as they focused on the “Cherokee Question” in 1828-1832, the critical period during which the state considered the removal of the Cherokees from Georgia. The research compares news and opinion texts in five Georgia newspapers with news and opinion texts in the newspaper launched by the Cherokee nation in 1828,the Cherokee Phoenix. While the conventional practices in the white-owned press tended to legitimize removal, the Phoenix adopted some of the same conventions in order to defend and negotiate Cherokee culture and issues

EINO The Answer

This study investigated the various methods involved in creating an intelligent tutor for the University of Central Florida Web Applets (UCF Web Applets), an online environment where student can perform and/or practice experiments.  After conducting research into various methods, two major models emerged.  These models include: 1) solving the problem for the student 2) helping the student when they become stymied and unable to solve the problem.  A storyboard was created to show the interactions between the student and system along with a list of features that were desired to be included in the tutoring system.  From the storyboard and list of features, an architecture was created to handle all of the interactions and features.  After the initial architecture was designed, the development of the actual system was started.  The architecture underwent a several iterations to conclude with a working system, EINO.   EINO is an intelligent tutoring system integrated into the UCF Web Applets.  The final architecture of EINO incorporated a case-based reasoning system to perform pattern recognition on the student’s input into the UCF Web Applets.  The interface that the student interacts with was created using Flash™.  EINO was implemented in three of the experiments from the UCF Web Applets.  A series of tests were performed on the EINO tutoring system to determine that the system could actually perform each and every one of the features listed initially.  The final test was a simulation of how the EINO would perform in “real life.”  Test subjects with the same educational level as the target group were chosen to spend an unlimited time using each of the three experiments.  A single experiment is designed to reinforce a topic currently being covered by the book.  Each of the test subjects filled out a survey on every lab to determine if the EINO system produced a helpful output

Eino: An Intelligent Tutor For The University Of Central Florida Infinity Web Applets

This study investigated the various methods involved in creating an intelligent tutor for the University of Central Florida Infinity Web Applets (UCF Infinity Web Applets). After conducting research into various methods, two major methods emerged and they are: solving the problem for the student and helping the student when they become stymied and unable to solve the problem. A storyboard was created to show the interactions of the student and system along with a list of features that were desired to be included in the tutoring system. From the storyboard and list of features, an architecture was created to handle all of the interactions and features. After the initial architecture was designed, the development of the actual system was started. The architecture underwent a multitude of changes to conclude with a working system, EINO. The final architecture of EINO incorporated a case based reasoning system to perform pattern recognition on the student\u27s input into the UCF Infinity Web Applets. The interface that the student interacts with was created using flash. EINO was implemented in three of the labs from the UCF Infinity Web Applets. A series of tests were performed on the EINO tutoring system to prove that the system could actually perform each and every one of the features listed initially. The final test was a simulation of how the EINO would perform under a set of given cases. Test subjects with the same educational level as the target group were chosen to spend an unlimited time using each of the three labs. Each of the test subjects filled out a survey on every lab to determine if the EINO system produced a helpful output

The cryomechanical design of MUSIC: a novel imaging instrument for millimeter-wave astrophysics at the Caltech Submillimeter Observatory

MUSIC (Multicolor Submillimeter kinetic Inductance Camera) is a new facility instrument for the Caltech Submillimeter Observatory (Mauna Kea, Hawaii) developed as a collaborative effect of Caltech, JPL, the University of Colorado at Boulder and UC Santa Barbara, and is due for initial commissioning in early 2011. MUSIC utilizes a new class of superconducting photon detectors known as microwave kinetic inductance detectors (MKIDs), an emergent technology that offers considerable advantages over current types of detectors for submillimeter and millimeter direct detection. MUSIC will operate a focal plane of 576 spatial pixels, where each pixel is a slot line antenna coupled to multiple detectors through on-chip, lumped-element filters, allowing simultaneously imaging in four bands at 0.86, 1.02, 1.33 and 2.00 mm. The MUSIC instrument is designed for closed-cycle operation, combining a pulse tube cooler with a two-stage Helium-3 adsorption refrigerator, providing a focal plane temperature of 0.25 K with intermediate temperature stages at approximately 50, 4 and 0.4 K for buffering heat loads and heat sinking of optical filters. Detector readout is achieved using semi-rigid coaxial cables from room temperature to the focal plane, with cryogenic HEMT amplifiers operating at 4 K. Several hundred detectors may be multiplexed in frequency space through one signal line and amplifier. This paper discusses the design of the instrument cryogenic hardware, including a number of features unique to the implementation of superconducting detectors. Predicted performance data for the instrument system will also be presented and discussed

The Status of MUSIC: The Multiwavelength Sub/millimeter Inductance Camera

The Multiwavelength Sub/millimeter Inductance Camera (MUSIC) is a four-band photometric imaging camera operating from the Caltech Submillimeter Observatory (CSO). MUSIC is designed to utilize 2304 microwave kinetic inductance detectors (MKIDs), with 576 MKIDs for each observing band centered on 150, 230, 290, and 350 GHz. MUSIC’s field of view (FOV) is 14′ square, and the point-spread functions (PSFs) in the four observing bands have 45′′, 31′′, 25′′, and 22′′ full-widths at half maximum (FWHM). The camera was installed in April 2012 with 25% of its nominal detector count in each band, and has subsequently completed three short sets of engineering observations and one longer duration set of early science observations. Recent results from on-sky characterization of the instrument during these observing runs are presented, including achieved map- based sensitivities from deep integrations, along with results from lab-based measurements made during the same period. In addition, recent upgrades to MUSIC, which are expected to significantly improve the sensitivity of the camera, are described