Systematic Methodology

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John D. Cressler - One of the best experts on this subject based on the ideXlab platform.

Seungwoo Jung - One of the best experts on this subject based on the ideXlab platform.

C.e. Goutis - One of the best experts on this subject based on the ideXlab platform.

  • A Systematic Methodology for the application of data transfer and storage optimizing code transformations for power consumption and execution time reduction in realizations of multimedia algorithms on programmable processors
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2002
    Co-Authors: K. Masselos, F. Catthoor, C.e. Goutis, H. Deman
    Abstract:

    A Systematic Methodology for the reduction of the power consumption and the execution time in realizations of multimedia applications on programmable processors is proposed. The Methodology is mainly based on the application of data transfer and storage optimizing code transformations to a high-level description of the target algorithm. Application of the code transformations according to the proposed order moves the main part of the memory accesses from the large background memories (lying possibly off-chip) to smaller ones (on-chip) or even to foreground storage. Data cache performance is improved as well. In this way the power consumption in the data memory hierarchy of the target processor and in the related interconnect, which forms a significant part of the total power budget of the system, is significantly reduced. Execution time and the power consumption due to instruction storage and transfers are reduced as well after the application of the proposed Methodology. Experimental results from real-life applications prove the effectiveness of the proposed Methodology.

  • A Systematic Methodology for designing multilevel systolic architectures
    1993 IEEE International Symposium on Circuits and Systems, 1993
    Co-Authors: D.j. Soudris, P.d. Georgakopoulos, C.e. Goutis
    Abstract:

    A Systematic graph-based Methodology for designing systolic arrays that can perform concurrently is introduced. Partitioning an iterative algorithm into subalgorithms, the authors describe each of them, as well as their interdependences, with a set of uniform recurrent equations. Alternative architectures can be designed by mapping the dependence graph of the algorithm onto hardware. The main feature of the proposed architectures is the significant reduction of the computation time of an algorithm.

Jimmy Chun Yu Louie - One of the best experts on this subject based on the ideXlab platform.

  • A Systematic Methodology to estimate added sugar content of foods
    European Journal of Clinical Nutrition, 2015
    Co-Authors: Jimmy Chun Yu Louie, A W Barclay, J. C. Brand-miller, Sinead Boylan, Hanieh Moshtaghian, Anna M. Rangan, Victoria M. Flood, T P Gill
    Abstract:

    Background/objectives:The effect of added sugar on health is a topical area of research. However, there is currently no analytical or other method to easily distinguish between added sugars and naturally occurring sugars in foods. This study aimed to develop a Systematic Methodology to estimate added sugar values on the basis of analytical data and ingredients of foods.Subjects/methods:A 10-step, stepwise protocol was developed, starting with objective measures (six steps) and followed by more subjective estimation (four steps) if insufficient objective data are available. The method developed was applied to an Australian food composition database (AUSNUT2007) as an example.Results:Out of the 3874 foods available in AUSNUT2007, 2977 foods (77%) were assigned an estimated value on the basis of objective measures (steps 1–6), and 897 (23%) were assigned a subjectively estimated value (steps 7–10). Repeatability analysis showed good repeatability for estimated values in this method.Conclusions:We propose that this method can be considered as a standardised approach for the estimation of added sugar content of foods to improve cross-study comparison.

  • a Systematic Methodology to estimate added sugar content of foods
    European Journal of Clinical Nutrition, 2015
    Co-Authors: Jimmy Chun Yu Louie, A W Barclay, Sinead Boylan, Hanieh Moshtaghian, Anna M. Rangan, Victoria M. Flood, Jennie Brandmiller, Tim Gill
    Abstract:

    BACKGROUND/OBJECTIVES: The effect of added sugar on health is a topical area of research. However, there is currently no analytical or other method to easily distinguish between added sugars and naturally occurring sugars in foods. This study aimed to develop a Systematic Methodology to estimate added sugar values on the basis of analytical data and ingredients of foods. SUBJECTS/METHODS: A 10-step, stepwise protocol was developed, starting with objective measures (six steps) and followed by more subjective estimation (four steps) if insufficient objective data are available. The method developed was applied to an Australian food composition database (AUSNUT2007) as an example. RESULTS: Out of the 3874 foods available in AUSNUT2007, 2977 foods (77%) were assigned an estimated value on the basis of objective measures (steps 1-6), and 897 (23%) were assigned a subjectively estimated value (steps 7-10). Repeatability analysis showed good repeatability for estimated values in this method. CONCLUSIONS: We propose that this method can be considered as a standardised approach for the estimation of added sugar content of foods to improve cross-study comparison.

Ickhyun Song - One of the best experts on this subject based on the ideXlab platform.