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Multimineral optimization processing method based on elemental capture spectroscopy logging

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Applied Geophysics 2014年第1期11卷 41-49,116页

作者：冯周李心童武宏亮夏守姬刘英明 Research Institute of Petroleum Exploration and Development of Petro China Beijing China School of Earth and Space Sciences Peking University Beijing China School of GeoScience University of Edinburgh Edinburgh UK

Calculating the mineral composition is a critical task in log interpretation. Elementalcapture spectroscopy （ECS） log provides the weight percentages of twelve common elements,which lays the foundation for the accurate calculation of mineral compositions. Previousprocessing methods calculated the formation composition via the conversion relation betweenthe formation chemistry and minerals. Thus, their applicability is limited and the methodprecision is relatively low. In this study, we present a multimineral optimization processingmethod based on the ECS log. We derived the ECS response equations for calculating theformation composition, then, determined the logging response values for the elements ofcommon minerals using core data and theoretical calculations. Finally, a software modulewas developed. The results of the new method are consistent with core data and the meanabsolute error is less than 10%.

关键词： ECS log, optimization, multimineral, lithological profile

Multi-user Motion JPEG2000 over wireless LAN: run-time performance-energy optimization with application-aware cross-layer scheduling

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第z1期7卷 151-158页

作者： POLLIN Sofie LENOIR Gregory LAFRUIT Gauthier DEJONGHE Antoine CATTHOOR Francky Interuniversity Microelectronics Center Kapeldreef 75 Leuven 3001Belgium Department of Electrical EngineeringK.U.LeuvenESAT/INSYSBelgium Interdisciplinary Institute for Broadband TechnologyGent-Ledeberg B-9050 Belgium Interuniversity Microelectronics Center Kapeldreef 75 Leuven 3001Belgium Interdisciplinary Institute for Broadband TechnologyGent-Ledeberg B-9050Belgium Interuniversity Microelectronics Center Kapeldreef 75 Leuven 3001Belgium Interuniversity Microelectronics Center Kapeldreef 75 Leuven 3001Belgium Department of Electrical EngineeringK.U.LeuvenESAT/INSYSBelgium

This paper introduces a video application-aware cross-layer framework for joint performance-energy optimization,considering the scenario of multiple users upstreaming real-time Motion JPEG2000 video streams to the access point of a WiFi wireless local area network and extends the PHY-MAC run-time cross-layer scheduling strategy that we introduced in (Mangharam et al., 2005; Pollin et al., 2005) to also consider congested network situations where video packets have to be dropped. We show that an optimal solution at PHY-MAC level can be highly suboptimal at application level, and then show that making the cross-layer framework application-aware through a prioritized dropping policy capitalizing on the inherent scalability of Motion JPEG2000 video streams leads to drastic average video quality improvements and inter-user quality variation reductions of as much as 10 dB PSNR, without affecting the overall energy consumption requirements.

关键词： Performance-energy optimization, Application-aware scheduling, Motion JPEG2000, WLAN multi-user transmission

Multi-objective optimization design of airfoil and wing

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Science China(Technological Sciences) 2004年第1期47卷 15-25页

作者： ZHU Ziqiang FU Hongyan YU Rixin LIU Jie Beijing University of Aeronautics and Astronautics Beijing 100083China Beijing University of Aeronautics and Astronautics Beijing 100083China Beijing University of Aeronautics and Astronautics Beijing 100083China Beijing University of Aeronautics and Astronautics Beijing 100083China

To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function (in deterministic method-DM) or a fitness function (in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjetive and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective.

关键词： multiobjective optimization, genetic algorithm, deterministic optimization method.

optimization of thermomechanical processes in Cu-Cr-Zr lead frame alloy using neural networks and genetic algorithms

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Science China(Technological Sciences) 2005年第5期48卷 510-520页

作者： SU Juanhua1,2, LIU Ping2, DONG Qiming2 & LI Hejun1 1. College of Materials Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China 2. College of Materials Science and Engineering, Henan University of Science and Technology, Luoyang 471003, China College of Materials Science and Engineering Northwestern Polytechnical University Xi’an China College of Materials Science and Engineering Henan University of Science and Technology Luoyang China

The thermomechanical treatment process is effective in enhancing the properties of the lead frame copper alloy. In this study, an optimal pattern of the thermomechanical processes for Cu-Cr-Zr was investegated using an intelligent control technique consisting of neural networks and genetic algorithms. The input parameters of the artificial neural network (ANN) are the reduction ratio of cold rolling, aging temperature and aging time. The outputs of the ANN model are the two most important properties of hardness and conductivity. Based on the successfully trained ANN model, genetic algorithms (GA) are used to optimize the input parameters of the model and select perfect combinations of thermomechanical processing parameters and properties. The good generalization performance and optimized results of the integrated model are achieved.

关键词： Cu-Cr-Zr alloy, thermomechanical processing optimization, artificial neural network, genetic algorithms.

Multi-segment linear gradient optimization strategy based on resolution map in HPLC

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Science China Chemistry 2006年第4期49卷 315-325页

作者： Andreas Seidel-Morgenstern Max-Planck-Institut fr Dynamik Komplexer Technischer Systeme Magdeburg 39106 Germany

Based on the mechanism of chromatographic retention (the relationship between the retention of solute and the mobile phase conditions) and method of resolution map, several methods of optimizing multi-segment linear gradient elution conditions were proposed according to the different separation requirements of various samples. These methods were verified using literature data. Moreover, the advantages and disadvantages of these methods were compared. It was proved that the third method is a fast optimization method which is capable of separating all the components with relatively high resolution.

关键词： optimization, multi-segment, linear gradient, resolution map, liquid chromatography.

Study on Process Parameters optimization of Sheet Metal Forming Based on PFEA/ANN/GA

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Journal of Materials Science & Technology 2003年第z1期19卷 9-12页

作者： Juhua HUANG Jinjun RAO Xuefeng LI Department of Materials Engineering Nanchang University Nanchang 330029 China Department of Materials Engineering Nanchang University Nanchang 330029 China Department of Materials Engineering Nanchang University Nanchang 330029 China

Sheet metal forming is widely applied to automobile, aviation, space flight, ship, instrument, and appliance *** this paper, based on analyzing the shortcoming of general finite element analysis (FEA), the conception of parametric finite element analysis (PFEA) is presented. The parametric finite element analysis, artificial neural networks(ANN) and genetic algorithm (GA) are combined to research thoroughly on the problems of process parametersoptimization of sheet metal forming. The author programs the optimization scheme and applies it in a research ofoptimization problem of inside square hole flanging technological parameters. The optimization result coincides wellwith the result of experiment. The research shows that the optimization scheme offers a good new way in die designand sheet metal forming field.

关键词： Sheet metal forming, optimization, Parametric finite element analysis, Artificial neuralnetwork, Genetic algorithm

Average optimization of the approximate solution of operator equations and its application

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Science China Mathematics 2002年第8期45卷 1076-1079页

作者：王兴华马万 Department of Mathematics Zhejiang University Hangzhou China

In this paper, a definition of the optimization of operator equations in the average case setting is given. And the general result (Theorem 1) about the relevant optimization problem is obtained. This result is applie... 详细信息

关键词： Gaussian measure, integral n-width, optimization, operator equations.

Constructs of highly effective heat transport paths by bionic optimization

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Science China(Technological Sciences) 2003年第3期46卷 296-302页

作者：程新广李志信过增元 Department of Engineering Mechanics Key Lab of Enhanced Heat Transfer and Energy Conservation of Education MinistryTsinghua University

The optimization approach based on the biological evolution principle is used to con-struct the heat transport paths for volume-to-point problem. The transport paths are constructed by inserting high conductivity materials in the heat conduction domain where uniform or nonuniform heat sources exist. In the bionic optimization process, the optimal constructs of the high conductiv-ity material are obtained by numerically simulating the evolution and degeneration process ac-cording to the uniformity principle of the temperature gradient. Finally, preserving the features of the optimal constructs, the constructs are regularized for the convenience of engineering manu-facture. The results show that the construct obtained by bionic optimization is approximate to that obtained by the tree-network constructal theory when the heat conduction is enhanced for the do-main with a uniform heat source and high conductivity ratio of the inserting material to the sub-strate, the high conductivity materials are mainly concentrated on the heat outlet for the case with a uniform heat source and low thermal conductivity ratio, and for the case with nonuniform heat sources, the high conductivity material is concentrated in the heat source regions and construacts several highly effective heat transport paths to connect the regions to the outlet.

关键词： bionic optimization approach, heat conduction optimization, constructs of high conductivity material.

Land use pattern evolution and optimization in the Farming-Pastoral Zone of Northern China

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Science China(Technological Sciences) 2006年第Z2期49卷 132-140页

作者： CHEN Yunhao SU Wei WU Yongfeng YU Xiaomin ZHANG Jinshui College of Resources Science and Technology Beijing Normal University Beijing 100875 China College of Resources Science and Technology Beijing Normal University Beijing 100875 China College of Resources Science and Technology Beijing Normal University Beijing 100875 China College of Resources Science and Technology Beijing Normal University Beijing 100875 China College of Resources Science and Technology Beijing Normal University Beijing 100875 China

Using information about the land cover of the Farming-Pastoral Zone of Northern China retrieved from multi-temporal NOAA/AVHRR and SPOT VEGETAN images obtained in 1989, 1994 and 1999, the authors analyzed land-use pattern evolution over this 10-year period and built a land-use pattern simulation model, based on which land-use pattern evolution and optimization modeling in this region were studied. Results showed that the proposed model can effectively simulate regional land-use patterns and help improve regional ecological environments.

关键词： Farming-Pastoral Zone of Northern China, land use pattern optimization, grey linear programming, cellular automata, optimization simulation.