MODULAR PERFORMANCE ANALYSIS FOR REAL - TIME EMBEDDED SYSTEMS
MODULAR PERFORMANCE ANALYSIS FOR REAL - TIME EMBEDDED SYSTEMS
dc.contributor.author | AYENI, BAKARE, KAREEM. | |
dc.date.accessioned | 2014-02-13T09:10:17Z | |
dc.date.available | 2014-02-13T09:10:17Z | |
dc.date.issued | 2013-05 | |
dc.description | DEPARTMENT OF MATHEMATICS FACULTY OF SCIENCE AHMADU BELLO UNIVERSITY, ZARIA NIGERIA. | en_US |
dc.description.abstract | ABSTRACT Modular performance analysis of real-time embedded systems plays an important role in the design process of complex embedded systems for analyzing essential performance characteristics of system design at an early phase. This thesis attempted to determine the most appropriate method for system-level performance analysis of realtime embedded systems, modelled and analysed a GPS-based Traffic Alert and Collision Avoidance System (TCAS) and incorporated reversal logic into this TCAS. Results from our analyses and simulation, using modern tools, show that our GPS-based TCAS preserves the functionalities of the traditional transponder-based TCAS. Additionally, our results show the GPS-based TCAS to be more accurate while supporting lateral and reversal resolution advisories. While we believe these ideas will carry over to other types of embedded systems, we note, however, that hardwaresoftware co-simulations are often computationally complex with long running times and the effect of program’s environment such as processor it runs on as potential limitations of our analyses. | en_US |
dc.identifier.uri | https://kubanni.abu.edu.ng/handle/123456789/1332 | |
dc.language.iso | en | en_US |
dc.subject | MODULAR, | en_US |
dc.subject | PERFORMANCE, | en_US |
dc.subject | ANALYSIS, | en_US |
dc.subject | REAL - TIME, | en_US |
dc.subject | EMBEDDED, | en_US |
dc.subject | SYSTEMS, | en_US |
dc.title | MODULAR PERFORMANCE ANALYSIS FOR REAL - TIME EMBEDDED SYSTEMS | en_US |
dc.type | Thesis | en_US |
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