The Wang Professional Image Computer: A New Dimension to Personal and Office Computing
Article Abstract:
Based on the Wang Professional Computer, the Wang Professional Image Computer (PIC) brings image processing technology to the desktop. The Wang PC uses an 8 MHZ 8086, an optional 8087 coprocessor, 128 K bytes of RAM, and MSDOS. The PIC can capture, manage, and communicate information, including image, text, data, and voice using the PC, an image scanner, a thermal or laser printer, a camera-printer interface card, a high-resolution monitor, and CRT controller. The image scanner operates in text and photo mode using face-up scanning. An interlaced 800x600 monochrome display normally displays black on a white background. Image processing core software manages the processing and an editor is used to compose text and images. Other software used with the PIC includes the PC Word Processing (WP) package, the Integrated Notebook, Integrated Database, and Forms-Fill. TELE-SEND and TELE-MAIL are used for local and remote image communications. Block diagrams and diagrams illustrate system architecture and components. A table summarizes the Professional Computer. Examples are given of integrating image and text, attaching images in the integrated notebook and using database records.
Publication Name: Proceedings of the IEEE
Subject: Electronics
ISSN: 0018-9219
Year: 1984
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Computers for symbolic processing
Article Abstract:
An overview of the use applications, limitations, design and current status of computer design for symbolic processing also addresses the requirements for software, knowledge representation and knowledge processing. Symbolic processing of uncertain, indeterminate, fuzzy and ill-represented knowledge at the word, relation or meaning levels requires a different kind of computer architecture than that of conventional computers. Details of knowledge representation and knowledge processing are described. Software architectures for symbolic processing may be effected as functional, rule-based or object-oriented languages. Symbolic system architecture may be parallel, sequential or connectionist. Details of current and emerging hardware architectures are described. Designs of complete systems for symbolic processing are also detailed.
Publication Name: Proceedings of the IEEE
Subject: Electronics
ISSN: 0018-9219
Year: 1989
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