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171 results on '"Mariun, N."'

10. A Model of a Repetitively Pulsed Sealed-off CO2 Laser.

Author

KHAN, N., ABAS, N., KALAIR, A. R., and MARIUN, N.

Subjects
LASER pulses, LASER beam cutting, CONTINUOUS wave lasers, THERMODYNAMIC equilibrium, MATHEMATICAL models
Abstract

This paper reviews four, five and six temperature distribution models for continuous wave (CW) and pulsed CO2 lasers. Theoretical work focuses on four-temperature model of Scot and Mayers for improving the performance of sealed-off CO2 lasers. This work investigates the correlation between energy modes and intra-cavity optical intensities at equilibrium for optimal solutions. An energy balance equation involving terms like load, temperature of the discharge tube wall and optical power is mathematically derived. The variation in the output power as a function of parameters in the energy balance equation is predicted. Theoretical and experimental results are compared with published data to validate proposed modifications. This model is general for all types of gas lasers, but specifically optimized to predict the performance of sealed-off CW CO2 laser. A few modifications in previously published data are outlined and new solutions are discussed to make the new model more effective and accurate. Four, five and six temperature models of CW and pulsed operations were transformed into a general model for repetitively pulsed sealed-off CO2 laser. Sealed-off CO2 laser output steady-state power and pulsed energies as a function of the discharge currents are reported in light of four temperature model. [ABSTRACT FROM AUTHOR]

Published
2018

15. Development of hierarchical analytical scheduling (HAS) - a conceptual framework.

Author

Harun, Harlisya, Mohd. Sharif, M. F., Mariun, N., Chulan, Ungku, Khazani, Khamizon, Harun, Harlisya, Mohd. Sharif, M. F., Mariun, N., Chulan, Ungku, and Khazani, Khamizon

Abstract

With the rapid growth of multicore processors, memory optimisation is necessary in improving the usage of cache memories. This includes efforts in improving the performance of data fetching from memory. Current prefetching algorithms depend on usage, such that items, which are not frequently used, will be removed. This can cause potential delay when infrequent items are removed, even when they are needed by many other processors in the near future. To alleviate this limitation, the hierarchical analytical scheduling (HAS) model is proposed in this paper. The model works by determining the relative importance of data during cache replacement policy. HAS is based on the concept of hierarchical temporal memory (HTM), in which the scheduling is derived on the priority and similarity of data from the aspect of space and time. Implemented with OCTAVE, a simulation of the model is implemented to analyse its behaviour in a hypothetical cache management scenario.

Published
2012

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