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Full-Text Articles in Engineering

Incorporating Functionally Graded Materials And Precipitation Hardening Into Microstructure Sensitive Design, Mark Edward Lyon Aug 2003

Incorporating Functionally Graded Materials And Precipitation Hardening Into Microstructure Sensitive Design, Mark Edward Lyon

Theses and Dissertations

The methods of MSD are applied to the design of functionally graded materials. Analysis models are presented to allow the design of compliant derailleur for a case study and constraints are placed on the design. Several methods are presented for relating elements of the microstructure to the properties of the material, including Taylor yield theory, Hill elastic bounds, and precipitation hardening.

Applying n-point statistics to the MSD framework is also discussed. Some results are presented for the information content of the 2-point correlation statistics that follow from the methods used to integrate functionally graded materials into MSD.

For the compliant …


Optimization Of Receptive Fields For Mlp Networks With Ensemble Encoding, Deena Osama Hassan Jun 2003

Optimization Of Receptive Fields For Mlp Networks With Ensemble Encoding, Deena Osama Hassan

Archived Theses and Dissertations

Ensemble encoding is a biologically-motivated, distributed data representation scheme for MLP networks. Multiple overlapping receptive fields are used to enhance locality of representation. The number, form, and placement of receptive fields have a great impact on performance. This thesis presents four heuristics, two based on descriptive statistics, and two based on clustering, for optimizing receptive field configuration, and compares their performance on four benchmark data sets. The two statistical approaches are based on the mean and median properties of the data set. The two clustering methods are the c-means and fuzzy c-means clustering. The four data sets used are well-known …


Synthesis And Optimization Of Digital Systems For Low Power At Logic Level Of Abstraction, Ihab Mostafa Amin Amer Jun 2003

Synthesis And Optimization Of Digital Systems For Low Power At Logic Level Of Abstraction, Ihab Mostafa Amin Amer

Archived Theses and Dissertations

In this thesis we tackle one of the most important fields of research, which is reducing power consumption in digital systems. The importance of this field comes from the fact that nowadays, several digital devices are intensively used in our daily life. Thus, minimizing their power consumption is a common demand from the technological as well as the economical point of view. Some basic definitions in the low power design field are introduced. Besides, a preview of different efforts that were exerted in the field of reducing power consumption of digital systems at various levels of abstraction is presented. A …


Optimization Of Municipal Solid Waste Management In Port Said, Mohamed Fathy Abd El-Rahman Mohamed Badran Jun 2003

Optimization Of Municipal Solid Waste Management In Port Said, Mohamed Fathy Abd El-Rahman Mohamed Badran

Archived Theses and Dissertations

This thesis is done at the American University in Cairo, and titled "Optimization of Municipal Solid Waste Management in Port Said". This thesis is presented by Mohamed Fathy Abd El-Rahman Mohamed Badran, under the supervision of Dr. Salah El-Haggar. Optimization of solid waste management systems was not applied to any Egyptian govemorate using any operational research methodologies. A new concept is arising in the collection activity of municipal solid waste management which is the use of collection stations. This concept was not used in Egypt. In this work, a proposed model for the municipal solid waste management system in Port …


Probabilities, Intervals, What Next? Optimization Problems Related To Extension Interval Computations To Situations With Partial Information About Probabilities, Vladik Kreinovich Apr 2003

Probabilities, Intervals, What Next? Optimization Problems Related To Extension Interval Computations To Situations With Partial Information About Probabilities, Vladik Kreinovich

Departmental Technical Reports (CS)

When we have only interval ranges [xi-,xi+] of sample values x1,...,xn, what is the interval [V-,V+] of possible values for the variance V of these values? We prove that the problem of computing the upper bound V+ is NP-hard. We provide a feasible (quadratic time) algorithm for computing the exact lower bound V- on the variance of interval data. We also provide feasible algorithms that computes V+ under reasonable easily verifiable conditions, in particular, in case interval uncertainty is introduced to maintain privacy in a statistical database.

We also extend the main formulas of interval arithmetic for different arithmetic operations …


Otimização Baseada Na Quimiotaxia Social De Bactérias: Introdução E Perspectivas, Gladstone B. Alves Jan 2003

Otimização Baseada Na Quimiotaxia Social De Bactérias: Introdução E Perspectivas, Gladstone B. Alves

Gladstone B. Alves

No abstract provided.


Compiler Optimization And Ordering Effects On Vliw Code Compression, Montserrat Ros, Peter Sutton Jan 2003

Compiler Optimization And Ordering Effects On Vliw Code Compression, Montserrat Ros, Peter Sutton

Faculty of Engineering and Information Sciences - Papers: Part A

Code size has always been an important issue for all embedded applications as well as larger systems. Code compression techniques have been devised as a way of battling bloated code; however, the impact of VLIW compiler methods and outputs on these compression schemes has not been thoroughly investigated. This paper describes the application of single- and multipleinstruction dictionary methods for code compression to decrease overall code size for the TI TMS320C6xxx DSP family. The compression scheme is applied to benchmarks taken from the Mediabench benchmark suite built with differing compiler optimization parameters. In the single instruction encoding scheme, it was …


Somos Simulation/Optimization Modeling System, Richard C. Peralta Jan 2003

Somos Simulation/Optimization Modeling System, Richard C. Peralta

Civil and Environmental Engineering Faculty Publications

SOMOS (Simulation / Optimization Modeling System) is a family of simulation / optimization (S/O) modules to aid in optimally managing water resources. SOMOS results from twenty years experience developing optimization models and applying them to real-world problems, including 11 pump-and-treat (PAT) systems and numerous water supply problems. SOMOS significantly improves water management or designs and saves money. Its user’s manual provides excellent training in principles of applying optimization to managing aquifer and stream-aquifer systems. It is being incorporated with powerful groundwater modeling and visualization packages.


Practical Simulation /Optimization Modeling For Groundwater Quality And Quantity Management, Richard C. Peralta, Ineke M. Kalwij, Shengjun Wu Jan 2003

Practical Simulation /Optimization Modeling For Groundwater Quality And Quantity Management, Richard C. Peralta, Ineke M. Kalwij, Shengjun Wu

Civil and Environmental Engineering Faculty Publications

Software for mathematically optimizing groundwater management has improved significantly in recent years. The SOMOS code can readily handle large complex plume and water management problems. Most recently, it developed a least-cost $40.82M 30-yr pumping strategy for the 6.58 mile long Blaine NAD plume. That strategy was 19 percent better than the strategy developed simultaneously by an experienced consultant using normal trial and error simulation procedures. The management problem involved 60 stress periods, and well installation and pumping rates that could change every 10 periods. The optimal strategy employed 10 new wells. At a simpler site, SOMOS helped select robust strategies …


An Extended Kalman Filter (Ekf) Approach On Fuzzy System Optimization Problem, Nian Zhang, Donald C. Wunsch Jan 2003

An Extended Kalman Filter (Ekf) Approach On Fuzzy System Optimization Problem, Nian Zhang, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Optimizing the membership functions of a fuzzy system can be viewed as a system identification problem for a nonlinear dynamic system. Basically, we can view the optimization of fuzzy membership functions as a weighted least-squares minimization problem, where the error vector is the difference between the fuzzy system outputs and the target values for those outputs. The extended Kalman filter algorithm is a good choice to solve this system identification problem, not only because it is a derivative-based algorithm that is suitable to solve the weighted least-squares minimization problem, but also because of its appealing predictor-corrector feature for nonlinear system …