A practical method for quickly improving performance and reducing answer time through the selection of hot loops based on the input data

2012 ◽  
Author(s):  
Lamia Atma Djoudi ◽  
Mohamed Amine Achab
Keyword(s):  
Input Data ◽  
Practical Method ◽  
Selection Of

scholarly journals Sensitivity of Food-Based Recommendations Developed Using Linear Programming to Model Input Data in Young Kenyan Children

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3485
Author(s):  
Karin J. Borgonjen-van den Berg ◽  
Jeanne H. M. de Vries ◽  
Prosper Chopera ◽  
Edith J. M. Feskens ◽  
Inge D. Brouwer
Keyword(s):  
Linear Programming ◽  
Dietary Intake ◽  
Selection Criteria ◽  
Input Data ◽  
Reference Scenario ◽  
Food Groups ◽  
Nutrient Requirement ◽  
Model Input ◽  
Alternative Scenarios ◽  
Selection Of

Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and identified problem nutrients. We used 24 h dietary recalls of 62 Kenyan children (4–6 years of age) to analyse the sensitivity of the FBR and problem nutrients to (1) dietary intake data, (2) selection criteria applied to these data and (3) energy and nutrient requirement data, using linear programming (Optifood©), by comparing a reference scenario with eight alternative scenarios. Replacing reported by estimated consumption frequencies increased the recommended frequencies in the FBR for most food groups while folate was no longer identified as a problem nutrient. Using the 10–90th instead of the 5–95th percentile of distribution to define minimum and maximum frequencies/week decreased the recommended frequencies in the FBR and doubled the number of problem nutrients. Other alternative scenarios negligibly affected the FBR and identified problem nutrients. Our study shows the importance of consumption frequencies for developing FBR and identifying problem nutrients by linear programming. We recommend that reported consumption frequencies and the 5–95th percentiles of distribution of reported frequencies be used to define the minimum and maximum frequencies.

System Reliable Probability for Multi-AUV Cooperative Systems under the Influence of Current

2019 ◽  
Vol 72 (06) ◽  
pp. 1649-1659
Author(s):  
Qingwei Liang ◽  
Tianyuan Sun ◽  
Junlin Ou
Keyword(s):  
Marine Environment ◽  
Reliability Index ◽  
Autonomous Underwater Vehicle ◽  
Influencing Factor ◽  
Practical Method ◽  
Underwater Vehicle ◽  
Cooperative Systems ◽  
Cooperative System ◽  
Structure Selection ◽  
Selection Of

Real multi-Autonomous Underwater Vehicle (AUV) cooperative systems operate in complicated marine environments. The interaction between a multi-AUV cooperative system and its marine environment will affect the reliability of the system. Current is an important influencing factor of multi-AUV cooperative systems. A reliability index of multi-AUV cooperative systems known as System Reliable Probability (SRP) is proposed in this study. A method to calculate SRP is introduced, and the influence of current on SRP is discussed in detail. Current is considered an attack source, and the degree of its influence on SRP is calculated. As an example, the performance of this method is shown on two multi-AUV cooperative systems. Results show that the influence of the same current environment on different structures of the multi-AUV cooperative systems differs. This result provides a reference for the structure selection of multi-AUV systems. This study provides a practical method to estimate the reliability of multi-AUV cooperative systems.

scholarly journals Uncertainty and Sensitivity Analysis of Void Reactivity Feedback for 3D BWR Assembly Model

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Andrius Slavickas ◽  
Raimondas Pabarčius ◽  
Aurimas Tonkūnas ◽  
Eugenijus Ušpuras
Keyword(s):  
Sensitivity Analysis ◽  
Cross Section ◽  
Input Data ◽  
Statistical Approach ◽  
Assembly Model ◽  
Uncertainty And Sensitivity Analysis ◽  
Geometrical Dimensions ◽  
Basic Input ◽  
Propagation Of Uncertainties ◽  
Selection Of

Uncertainty and sensitivity analysis of void reactivity feedback for 3D BWR fuel assembly model is presented in this paper. Uncertainties in basic input data, such as the selection of different cross section library, manufacturing uncertainties in material compositions, and geometrical dimensions, as well as operating data are considered. An extensive modelling of different input data realizations associated with their uncertainties was performed during sensitivity analysis. The propagation of uncertainties was analyzed using the statistical approach. The results revealed that important information on the code predictions can be obtained by analyzing and comparing the codes estimations and their associated uncertainties.

scholarly journals Versatile Harmonic Tidal Analysis: Improvements and Applications

2009 ◽  
Vol 26 (4) ◽  
pp. 806-817 ◽  
Author(s):  
M. G. G. Foreman ◽  
J. Y. Cherniawsky ◽  
V. A. Ballantyne
Keyword(s):  
Time Series ◽  
Input Data ◽  
Computer Software ◽  
Temperature Time Series ◽  
Correlation Matrices ◽  
Ocean Sciences ◽  
Harmonic Tidal Analysis ◽  
Direct Incorporation ◽  
Temperature Time ◽  
Selection Of

Abstract New computer software that permits more versatility in the harmonic analysis of tidal time series is described and tested. Specific improvements to traditional methods include the analysis of randomly sampled and/or multiyear data; more accurate nodal correction, inference, and astronomical argument adjustments through direct incorporation in the least squares matrix; multiconstituent inferences from a single reference constituent; correlation matrices and error estimates that facilitate decisions on the selection of constituents for the analysis; and a single program that analyzes one- or two-dimensional time series. This new methodology is evaluated through comparisons with results from old techniques and then applied to two problems that could not have been accurately solved with older software. They are (i) the analysis of ocean station temperature time series spanning 25 yr, and (ii) the analysis of satellite altimetry from a ground track whose proximity to land has led to significant data dropout. This new software is free as part of the Institute of Ocean Sciences (IOS) Tidal Package and can be downloaded, along with sample input data and an explanatory readme file.

scholarly journals A Comparative Study on Decision Making Methods with Interval Data

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Aditya Chauhan ◽  
Rahul Vaish
Keyword(s):  
Decision Making ◽  
Input Data ◽  
Multiple Criteria Decision Making ◽  
Interval Data ◽  
Cross Entropy ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of ◽  
Novel Algorithm

Multiple Criteria Decision Making (MCDM) models are used to solve a number of decision making problems universally. Most of these methods require the use of integers as input data. However, there are problems which have indeterminate values or data intervals which need to be analysed. In order to solve problems with interval data, many methods have been reported. Through this study an attempt has been made to compare and analyse the popular decision making tools for interval data problems. Namely, I-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), DI-TOPSIS, cross entropy, and interval VIKOR (VlseKriterijumska Optimiza-cija I Kompromisno Resenje) have been compared and a novel algorithm has been proposed. The new algorithm makes use of basic TOPSIS technique to overcome the limitations of known methods. To compare the effectiveness of the various methods, an example problem has been used where selection of best material family for the capacitor application has to be made. It was observed that the proposed algorithm is able to overcome the known limitations of the previous techniques. Thus, it can be easily and efficiently applied to various decision making problems with interval data.

scholarly journals Base Catchment Modeling in Urban Runoff Simulation

1991 ◽  
Vol 22 (3) ◽  
pp. 137-148
Author(s):  
Sven Lyngfelt
Keyword(s):  
Input Data ◽  
Wave Equations ◽  
Urban Runoff ◽  
Point Of View ◽  
General Point ◽  
Runoff Simulation ◽  
Numerical Solution Method ◽  
Catchment Modeling ◽  
The Individual ◽  
Selection Of

The selection of numerical model and the transformation of catchment data into ‘input data’ are two fundamental problems in urban runoff simulation. They are discussed from a general point of view. A numerical solution method for the kinematic wave equations is proposed for base catchment modeling. In connection to this solution a methodology for the generation of input data representing the individual base catchment is presented.

Random Selection of Grid Squares for Scanning by Transmission Electron Microscopy

1979 ◽  
Vol 62 (5) ◽  
pp. 1176-1179
Author(s):  
Edwin H Chen ◽  
William H Hallenbeck ◽  
Carolyn S Hesse
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Electron Microscope ◽  
Practical Method ◽  
Random Selection ◽  
Transmission Electron ◽  
Selection Of

Abstract A practical method is presented for the random selection of grid squares to be scanned by transmission electron microscopy. The only prerequisite for applying the technique is that the electron microscope must have 2-dimensional stage controls which are calibrated in arbitrary units.

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