Using Large Shared Displays to Create a Collaborative Classroom Learning Environment Abstract

Our goal in this work is to create a more collaborative learning environment in the classroom, by designing and implementing a system infrastructure to support easy use and management of a large shared (tiled) display. Through this shared display space, instructor and student interaction is facilitated. This large display space provides the primary means of presentation of lecture material, allowing the lecturer to keep multiple screens of material in view of the students for reference and reuse. Additionally, students can download any portion of the tiled display they find relevant, enabling them to go back at any time to previous screens of the presentation. Students can also use this display to present their work, ideas, or questions to the class. The instructor allocates a portion (or all) of the display to students, enabling student presentation and the sharing of student work, or their responses to in-class exercises, in support of interactive group problem solving. Via their individual laptop computers, instructors and students can thus present material and interact via this tiled display, all enabled to be interactive participants, enhancing interaction and collaboration between students and instructors. Background The primary motivation for this work came from the first author’s experience in teaching engineering courses, particularly those in the general area of “signals and systems ” and including data communications

Zero-Delay Broadcasting Protocols for Video-on-Demand

Broadcasting protocols for video-on-demand continuously retransmit videos that are watched simultaneously by many viewers. Nearly all broadcasting protocols assume that the client set-top box has enough storage to store between 48 and 60 minutes of video. We propose to use this storage to anticipate the customer requests and to preload, say, the first 3 minutes of the top 16 to 20 videos. This would provide instantaneous access to these videos and also eliminate the extra bandwidth required to handle compressed video signal. We present two broadcasting protocols using partial preloading to eliminate this extra bandwidth. The first of these protocols, Polyharmonic Broadcasting with Partial Preloading (PHB-PP), partitions each video into between 20 and 160 segments of equal duration and allocates a separate data stream to each individual segment. Our second protocol, the Mayan Temple Broadcasting protocol, uses fewer data streams but requires more overall bandwidth. Keywords: video-on-..

REINAS: A Real-time System for Managing Environmental Data

Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysis System (REINAS) is an attempt to develop an operational solution to the problem of collecting and distributing environmental data in a realtime context, as well as supporting data acquisition, verification, retrieval, visualization and long-term data maintenance. The system is built around one or more databases and has been developed to support both realtime and retrospective regional scale environmental science. Continuous real-time data is acquired from dispersed sensors and input to a logically integrated but physically distributed system. In such a system, the database can provide a powerful structure to handle data management, but current database technology has difficulty meeting the performance requirements that a large realtime environmental system demands. This discussion will describe the REINAS a..

REINAS: A Real-time System for Managing Environmental Data y

Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysis System (REINAS) is an operational solution to the problem of collecting and distributing environmental data in a real-time context, as well as supporting data acquisition, retrieval, visualization and long-term data maintenance. The system is built around one or more databases and has been developed to support both real-time and retrospective regional scale environmental science. Continuous real-time data is acquired from dispersed sensors and input to a logically integrated but physically distributed system. The database engine provides a powerful structure to handle data management, but current database technology can have difficulty meeting the performance requirements that a large real-time environmental system demands. The REINAS architecture and current status is described in detail, including the challenges that were addressed in the construction of an operational system which includes a regional wireless instrumentation network comprised of over 70 instrument platforms and 220 sensor streams producing real-time data of interest to thousands of users in 1996

Abstract REINAS: the Real-Time Environmental Information Network and Analysis System

and Analysis System (REINAS) is a distributed system supporting the conduct of regional environmental science research at the desk top. Continuous real-time data acquired from dispersed sensors is stored in a logically integrated but physically distributed data base. An integrated problemsolving environment is under development which supports visualization and modeling. REINAS is intended to provide insight into historical, current, and predicted oceanographic and meteorological conditions. REINAS permits both collaborative and single-user scientific work in a distributed environment

REINAS: A Real-time System for Managing Environmental Data

Managing scientific data is a challenging task, and many of the problems it presents have yet to be adequately solved. The Real-time Environmental Information Network and Analysis System (REINAS) is an operational solution to the problem of collecting and distributing environmental data in a real-time context, as well as supporting data acquisition, retrieval, visualization and long-term data maintenance. The system is built around one or more databases and has been developed to support both real-time and retrospective regional scale environmental science. Continuous real-time data is acquired from dispersed sensors and input to a logically integrated but physically distributed system. The database engine provides a powerful structure to handle data management, but current database technology can have difficulty meeting the performance requirements that a large real-time environmental system demands. The REINAS architecture and current status is described in detail, including the chall..

An Architecture Supporting Real-Time and Retrospective Environmental Data Management

The Real-Time Environmental Information Network and Analysis System (REINAS) is a distributed database environment supporting both real-time and retrospective regional scale environmental science. Continuous real-time data is acquired from dispersed sensors and input to a logically integrated but physically distributed database. An integrated problem-solving environment supports visualization and modeling by users requiring insight into historical, current, and predicted oceanographic and meteorological conditions. REINAS supports both collaborative and single-user scientific work in a distributed environment. The goals and design of key data management aspects of REINAS are described