This thesis investigates an implementation of speech recognition front-end. It is an application specific integrated circuit (ASIC) solution. A Mel Cepstrum algorithm is implemented for the feature extraction. We present a new mixed split-radix and radix-2 Fast Fourier Transform (FFT) algorithm, which can effectively minimize the number of complex multiplications...
Identifying the most relevant items in an e-commerce site is becoming more and more
difficult nowadays because of the heavy overload of information. A Java Recommender
System that uses Collaborative Filtering techniques has been developed to reduce such
information overload and even personalize the information to the individual’s preference.
The...
"Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics.
These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for
which they do not have data. Ignoring these recommendations has provided numbers which do not
accurately represent the user experience. Qualitatively we have seen...
In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In...
Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications, personal web pages, and others. Increasingly, web-based information retrieval systems such as web-based search engines, library on-line catalog systems, and subscription-based federated search systems are...
This thesis describes the implementation of an interface for querying established correspondences between anatomical structures across species. I was the main developer of this query engine, called the Comparative Anatomy Information System. My work involved developing methods to query the knowledge base, perform the specified comparison, display the anatomical hierarchies...
XML is a very versatile data format that has been used to represent many different kinds of data, including web pages, books, business and accounting data, programming interfaces, vector graphics, system logs, and games. In a short span of time, it has gained wide acceptance as the document and data...
Using off-the-shelf search technology provides a single point of access into library resources,
but we found that such commercial systems are not entirely satisfactory for the academic library
setting. In response to this, Oregon State University (OSU) Libraries designed and deployed
LibraryFind, a metasearch system. We conducted a usability experiment...
With the development of high performance power electronic and semiconductor technologies, Adjustable Speed Drive (ASD) systems are increasingly applied in residential, commercial and industrial applications. Due to the advantages at higher power ratings, the three-level Neutral-Point-Clamped (NPC) Voltage Source Inverter (VSI) is being employed in industrial and traction applications, static...
In this project, we have investigated three different techniques for plagiarism detection and have compared its effectiveness against that of an unaided human grader. The techniques investigated were word frequency analysis, sentence inclusion analysis and sub string inclusion analysis. We found that a combination of word frequency analysis and sub...
Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
At Oregon State University (OSU), the School of Electrical Engineering and Computer Science (EECS) and the OSU Libraries are working together on a project to improve the effectiveness and accessibility of digital information created and collected by academic libraries. This project focuses on making digital resources more accessible through an...
Can collaborative filtering be successfully applied to digital
libraries in a manner that improves the effectiveness of the
library? Collaborative filtering systems remove the limitation of
traditional content-based search interfaces by using individuals to
evaluate and recommend information. We introduce an approach
where a digital library user specifies their need...
Collaborative filtering (CF)-based recommender systems predict what items a user will like or find useful based on the recommendations (active or implicit) of other members of a networked community. In spite of more than ten years of research, there is little consensus on state-of-the-art knowledge regarding CF predictive algorithms. There...
The project team surveyed and interviewed forty identified experts within the diverse tsunami community. The survey revealed that this community is a sophisticated user of Internet search engines and tools and is very familiar with existing information. The sites mentioned most frequently as being helpful were those of the National...
This narrative details the evolution of a collaborative teaching project into an educational Website about Bibliotherapy, which is the process of facilitating personal development or problem resolution through books. Working with a Counselor Education colleague, the Education librarian at Oregon State University helped develop a tool to evaluate books for...
This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research work conducted in the following three applications: FolderPredictor, Stacking Recommendation Engines, and Integrating Learning and Reasoning.
FolderPredictor is an intelligent desktop software tool that helps...