Science Panel Discussion presentation: You Want to Do What? Managing and Distributing Identifying Data without Running Afoul of Your Research Sponsor, Your IRB, or Your Office of Counsel

Patrick Flynn, PhD, is Professor, Department of Computer Science and Engineering, University of Notre Dame. He discussed the data management for his university\u27s biometric data sampling projects, including human subjects issues, data distribution, and infrastructure

Computer Imaging to Determine Seed Quality and Performance

Author Institution (McDonald and Bennett): Department of Horticulture and Crop Science, The Ohio State University; Author Institution (Ling): Department of Food, Agricultural and Biological Engineering, The Ohio State University; Author Institution (Fujimura): Department of Computer Science and Engineering, The Ohio State Universit

Improving information retrieval with dialogue mapping and concept mapping tools : training university teachers to use a new method and integrate information searching exercises into their own instruction

The Library of Helsinki University of Technology (TKK) has almost 40 years' experience in teaching information retrieval, but has recently revised its training methods. During autumn 2006 the library and the Department of Computer Science and Engineering started an interesting co-operation. New software for making mind maps, concept maps and dialogue maps are being used for structuring information retrieval. This project got a warm reception because it can be adapted throughout the university and will benefit several departments. Teachers can also update their knowledge of information searching and retrieval skills

Cognitive robotics in a soccer game domain: a proposal for the e-league competition

In this work, we will discuss the design of a team of robots to play soccer at RoboCup E-League. This task is being carried out in the Cognitive Robotics group of the Laboratory of Research and Development in Artificial Intellgence (LIDIA), Department of Computer Science and Engineering, Universidad Nacional del Sur. The RoboCup competition provides a great opportunity to develop a multi-agent system in which we can test and apply new ideas and results. In the following sections, we will briefly describe the league in which we will participate, and our proposal for the implementation of a team.Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computaciónRed de Universidades con Carreras en Informática (RedUNCI

Cognitive robotics in a soccer game domain: a proposal for the e-league competition

In this work, we will discuss the design of a team of robots to play soccer at RoboCup E-League. This task is being carried out in the Cognitive Robotics group of the Laboratory of Research and Development in Artificial Intellgence (LIDIA), Department of Computer Science and Engineering, Universidad Nacional del Sur. The RoboCup competition provides a great opportunity to develop a multi-agent system in which we can test and apply new ideas and results. In the following sections, we will briefly describe the league in which we will participate, and our proposal for the implementation of a team.Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computaciónRed de Universidades con Carreras en Informática (RedUNCI

A Case Study in Data Sharing: 211 Helplink and the AIRS XSD

The Coordinated Assistance Network (CAN) helps communities prepare for and respond to disasters. The ability to exchange up‐to‐date information about resources and clients is central to effective response. To facilitate the exchange of resource data, CAN has been working with information & referral organizations, namely 2‐1‐1s, to ensure that their existing data about community services may be easily and quickly shared with CAN in the event of disaster. CAN has been working with 211 Helplink (San Francisco, California) to develop an exchange using the data standard developed by the Alliance of Information and Referral Systems, AIRS XSD 2.07. The data exchange has failed. The University of Nebraska Public Policy Center and the University of Nebraska‐Lincoln Department of Computer Science and Engineering agreed to analyze the exports, determine the failure points, and make recommendations for this and future data exchanges

Computer Science Collection Development Policy

The computer science collection supports the teaching, research, and service activities of the entire university community; although its primary audience is the faculty, staff, and students of the Department of Computer Science and Engineering, and secondary audience is the faculty, staff, and students in Computer Science. Its primary focus is support for the undergraduate and graduate curricula for computer science; its secondary focus is support for research and teaching in engineering. Specific and transient research needs of computer science faculty and graduate students should be supplemented through Interlibrary Loan. Materials are not purchased for the general public, though they may benefit from the collection. While the collection focuses on works classified in Mathematics (QA), curriculum and research support is also provided by works classified as belonging to, for example, Statistics (HA), and Engineering and Technology (T-TA)