Implementing personality traits for storytelling through concept patterns

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (page 97).Personality traits such as "kind," "aggressive," and "brave" are integral to storytelling because they impart succinct descriptors of character personalities. Authors apply traits to characters, readers infer characters' traits from the narrative, and readers learn the meaning of new traits. For instance, a reader can learn the personality trait "vindictive" from Alexandre Dumas's novel The Count of Monte Cristo and then use this trait to predict or explain a character's behavior. The reader can also infer that a character from this novel, such as Edmond Dantes, is "vindictive" without needing Dumas to explicitly describe the character with this trait. With the goal of enabling computational storytelling systems to perform the abilities stated above, I present in this thesis a concept pattern-based approach to representing intentional personality traits. I articulate the processes of trait learning, application, and inference and provide steps and insights to how these processes can be computationally implemented. I also give examples of ten personality traits represented using concept patterns inside the Genesis system and show how these traits are discovered inside well-known historical narratives and works of fiction.by Susan S. Song.M. Eng

Roadmap on commercialization of metal halide perovskite photovoltaics

Perovskite solar cells (PSCs) represent one of the most promising emerging photovoltaic technologies due to their high power conversion efficiency. However, despite the huge progress made not only in terms of the efficiency achieved, but also fundamental understanding of the relevant physics of the devices and issues which affect their efficiency and stability, there are still unresolved problems and obstacles on the path toward commercialization of this promising technology. In this roadmap, we aim to provide a concise and up to date summary of outstanding issues and challenges, and the progress made toward addressing these issues. While the format of this article is not meant to be a comprehensive review of the topic, it provides a collection of the viewpoints of the experts in the field, which covers a broad range of topics related to PSC commercialization, including those relevant for manufacturing (scaling up, different types of devices), operation and stability (various factors), and environmental issues (in particular the use of lead). We hope that the article will provide a useful resource for researchers in the field and that it will facilitate discussions and move forward toward addressing the outstanding challenges in this fast-developing field

Generate randomized 3D objects for simulating its optics property

Our research goal is to develop a tool generate a 3D object with designated amount of random adherence and find how specific randomness influence light property of that object. More specifically, what we are doing is to trying to find how specific random ligand adhered to object, like cube at the top of image, will manipulate the electric field around object, shown at the bottom of picture. As well-know, our world consist of innumerable irregular things. We could seldom see and obtain some regular things. When it comes to experiment, idealized experimental object is also difficult to obtain. So experiment are usually done with randomized objects and result should be average of hundreds or even thousands of repeated experiments. It is time-consuming for us to do these works in reality. In this way, our tool make simulating experiment with randomized object in computer possible. Moreover, we are using our tool to do some real experiments now. We are trying find the relation between random ligand on the cube and electric field around cube, part of which is shown in the picture. For more information about the Image of Research--Undergraduate Edition go to: http://go.library.illinois.edu/imageofresearch_ureditionOpe