Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Base stations (1)
- Category Choice (1)
- Category Node (1)
- Channel capacity (1)
- Choice Function (1)
-
- Computer architecture -- Design (1)
- Computer networks (1)
- Confidence Factor (1)
- Distributed computing (1)
- Electrical and Computer Engineering (1)
- Electronic data processing -- Distributed processing | Computer security | Computer networks -- Security measures (1)
- Fuzzy ARTMAP (1)
- Machine theory (1)
- Mobile computing (1)
- Multiaccess communication (1)
- Multimedia systems (1)
- Multiple access interference (1)
- Probability (1)
- Satellite ground stations (1)
- Publication
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Computer Engineering
Aspects Of Information Flow, Andrew P. Black, Jonathan Walpole
Aspects Of Information Flow, Andrew P. Black, Jonathan Walpole
Computer Science Faculty Publications and Presentations
Along with our colleagues at the Oregon Graduate Institute and Georgia Institute of Technology, we have recently been experimenting with real-rate systems, that is, systems that are required to move data from one place to another at defined rates, such as 30 items per second. Audio conferencing or streaming video systems are typical: they are required to deliver video or audio frames from a source (a server or file system) in one place to a sink (a display or a sound generator) in another; the frames must arrive periodically, with constrained latency and jitter. We have successfully built such systems …
3d Outside Cell Interference Factor For An Air-Ground Cdma ‘Cellular’ System, David W. Matolak
3d Outside Cell Interference Factor For An Air-Ground Cdma ‘Cellular’ System, David W. Matolak
Faculty Publications
We compute the outside-cell interference factor of a code-division multiple-access (CDMA) system for a three-dimensional (3-D) air-to-ground (AG) "cellular-like" network consisting of a set of uniformly distributed ground base stations and airborne mobile users. The CDMA capacity is roughly inversely proportional to the outside-cell interference factor. It is shown that for the nearly free-space propagation environment of these systems, the outside-cell interference factor can be larger than that for terrestrial propagation models (as expected) and depends approximately logarithmically upon both the cell height and cell radius.
Security In Distributed Systems - A Framework For Different Application Types, Ingo Stengel
Security In Distributed Systems - A Framework For Different Application Types, Ingo Stengel
Theses
Security is a factor which decides upon the applicability of distributed applications. Therefore this thesis deals with security in distributed systems. The complexity of the existing distributed technologies makes it necessary to reduce the number of distributed technologies considered in this thesis, i.e. concentrating on: Java, Mobile Agents and CORBA, where only Java-based mobile agents will be considered.
After a short review of basic security principles including firewalls, existing security problems in the above mentioned distributed technologies are analysed. Additional generic problems in distributed systems are outlined.
Solutions are referring to two different areas: those regarding security problems with firewalls …
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Supervised Adaptive Resonance Theory And Rules, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Supervised Adaptive Resonance Theory is a family of neural networks that performs incremental supervised learning of recognition categories (pattern classes) and multidimensional maps of both binary and analog patterns. This chapter highlights that the supervised ART architecture is compatible with IF-THEN rule-based symbolic representation. Specifically, the knowledge learned by a supervised ART system can be readily translated into rules for interpretation. Similarly, a priori domain knowledge in the form of IF-THEN rules can be converted into a supervised ART architecture. Not only does initializing networks with prior knowledge improve predictive accuracy and learning efficiency, the inserted symbolic knowledge can also …