The Development of an Interactive Videodisc System

The thesis traces the development of interactive videodisc from origins based on early automatic machines through large-scale computer assisted learning (CAL) to microcomputer-based multi-media CAL. A comprehensive discussion of the interactive videodisc medium is provided, in terms of its features, advantages, problems, authoring and production processes, and educational applications. The requirements for interactive systems, and essential elements of video and videodisc technology are described. A relatively low-cost demonstration interactive videodisc system is developed in three phases, based on a BBC 'B' microcomputer and a Pioneer LD1100 videodisc player. In the first phase, software interfacing routines are developed in assembly language to control the player from the versatile interface adaptor (VIA) of the BBC micro. The signal control codes are based on a pulse code modulated format with uni-directional synchronous transmission. The interfacing routines are linked to, and driven by, a Basic program which provides full manual control of all player functions using the microcomputer keyboard. In the second phase, the interfacing routines are further extended to provide control linkage for interactive video application programs. Using a pilot videodisc, these Basic programs demonstrate interactive video techniques, including still frame access and the presentation of video sequences and sub-sequences. In the third phase, the application programs are converted to the authoring language, Microtext. The assembly language interfacing routines are developed into a corresponding Microtext extension command module. A mixer/genlock unit is used to provide graphics overlay of video still frames. An evaluation of the demonstration system is provided, in terms of developmental difficulties, its hardware and software features and capabilities, and its potential as a base for further suggested research work

Special Libraries, December 1954

Volume 45, Issue 10https://scholarworks.sjsu.edu/sla_sl_1954/1009/thumbnail.jp

Preface

In the current information era, most aspects of life depend on and are driven by data, information, knowledge, user experience, and culture. The infrastructure of an information-dependent society relies on the quality of data, information and analysis of such entities for short to long term as well as past to future activities. Information Visualisation, Visual Analytics, Business Intelligence, Machine Learning and Application domains are just a few of the current state of the art developments that effectively enhance understanding of these driving forces

Text in Visualization: Extending the Visualization Design Space

This thesis is a systematic exploration and expansion of the design space of data visualization specifically with regards to text. A critical analysis of text in data visualizations reveals gaps in existing frameworks and the use of text in practice. A cross-disciplinary review across fields such as typography, cartography and technical applications yields typographic techniques to encode data into text and provides the scope for the expanded design space. Mapping new attributes, techniques and considerations back to well understood visualization principles organizes the design space of text in visualization. This design space includes: 1) text as a primary data type literally encoded into alphanumeric glyphs, 2) typographic attributes, such as bold and italic, capable of encoding additional data onto literal text, 3) scope of mark, ranging from individual glyphs, syllables and words; to sentences, paragraphs and documents, and 4) layout of these text elements applicable most known visualization techniques and text specific techniques such as tables. This is the primary contribution of this thesis (Part A and B). Then, this design space is used to facilitate the design, implementation and evaluation of new types of visualization techniques, ranging from enhancements of existing techniques, such as, extending scatterplots and graphs with literal marks, stem & leaf plots with multivariate glyphs and broader scope, and microtext line charts; to new visualization techniques, such as, multivariate typographic thematic maps; text formatted to facilitate skimming; and proportionally encoding quantitative values in running text – all of which are new contributions to the field (Part C). Finally, a broad evaluation across the framework and the sample visualizations with cross-discipline expert critiques and a metrics based approach reveals some concerns and many opportunities pointing towards a breadth of future research work now possible with this new framework. (Part D and E)

Multilingual sentiment analysis in social media.

252 p.This thesis addresses the task of analysing sentiment in messages coming from social media. The ultimate goal was to develop a Sentiment Analysis system for Basque. However, because of the socio-linguistic reality of the Basque language a tool providing only analysis for Basque would not be enough for a real world application. Thus, we set out to develop a multilingual system, including Basque, English, French and Spanish.The thesis addresses the following challenges to build such a system:- Analysing methods for creating Sentiment lexicons, suitable for less resourced languages.- Analysis of social media (specifically Twitter): Tweets pose several challenges in order to understand and extract opinions from such messages. Language identification and microtext normalization are addressed.- Research the state of the art in polarity classification, and develop a supervised classifier that is tested against well known social media benchmarks.- Develop a social media monitor capable of analysing sentiment with respect to specific events, products or organizations

Multilingual sentiment analysis in social media.

252 p.This thesis addresses the task of analysing sentiment in messages coming from social media. The ultimate goal was to develop a Sentiment Analysis system for Basque. However, because of the socio-linguistic reality of the Basque language a tool providing only analysis for Basque would not be enough for a real world application. Thus, we set out to develop a multilingual system, including Basque, English, French and Spanish.The thesis addresses the following challenges to build such a system:- Analysing methods for creating Sentiment lexicons, suitable for less resourced languages.- Analysis of social media (specifically Twitter): Tweets pose several challenges in order to understand and extract opinions from such messages. Language identification and microtext normalization are addressed.- Research the state of the art in polarity classification, and develop a supervised classifier that is tested against well known social media benchmarks.- Develop a social media monitor capable of analysing sentiment with respect to specific events, products or organizations

Special Libraries, December 1954

Volume 45, Issue 10https://scholarworks.sjsu.edu/sla_sl_1954/1009/thumbnail.jp

Typographic sets: Labeled set elements with font attributes

We show that many different set visualization techniques can be extended with the addition of labeled elements using font attributes. Elements labeled with font attributes can: uniquely identify elements; encode membership in ten sets; use size to indicate proportions among set relations; can scale to thousands on clearly labeled elements; and use intuitive mappings to facilitate decoding. The approach can be applied to many different set visualization layouts, including Venn and Euler diagrams, graphs, mosaic plots and cartograms

Special Libraries, February 1960

Volume 51, Issue 2https://scholarworks.sjsu.edu/sla_sl_1960/1001/thumbnail.jp

Special Libraries, March 1961

Volume 52, Issue 3https://scholarworks.sjsu.edu/sla_sl_1961/1002/thumbnail.jp