Showing papers in "Advances in Engineering Software in 2009"

TL;DR: It is proven that ANN gives satisfactory results with deviation of 3.43% and successful prediction rate of 94.8-98.5% when compared with the outputs of the network.

TL;DR: The results showed that ANN can be an alternative approach for the predicting the compressive strength of ground granulated blast furnace slag concrete using concrete ingredients as input parameters.

TL;DR: The alluvial plain in filled valley, flood plain and deeply buried pediplain were successfully delineated and shown as the prospective zones of groundwater in the Musi basin.

TL;DR: The results showed that ANN and FL can be alternative approaches for the predicting of compressive strength of silica fume concrete.

TL;DR: The structure of the patterns collection is presented - the patterns are suggested solutions to problems that are grouped into a set of problem areas that are further grouped into three main problem areas - a structure which is valuable both as an index to identifying patterns to use, and it gives a fairly comprehensive overview of issues when designing user interfaces for mobile applications.

TL;DR: A novel strategy for the control of the Particle Swarm Optimization (PSO) parameters based on the Nelder-Mead algorithm (Simplex method) is presented; consequently, the convergence of the PSOS becomes independent of the heuristic constants and its stability and confidence are enhanced.

TL;DR: A novel 3D FE model with multiple randomly distributed shots was developed combining a Matlab program with the ANSYS preprocessor and shows that such a computing strategy can help understanding and predicting the shot peening results better than conventional FE simulations.

TL;DR: The ANN model was found to be more successful than the SWAT in relation to better forecast of peak flow and the SWAT model results revealed a better value of mean squared error.

TL;DR: Generalized Regression Neural Networks can be applied successfully for prediction of scour depth around circular bridge piers according to the empirical formula.

TL;DR: The training and testing results in the multilayer feed-forward neural networks and Sugeno-type fuzzy inference models have shown that Neural networks and fuzzy logic systems have strong potential for predicting compressive strength of mortars containing metakaolin.

TL;DR: The training and testing results in the neural network models have shown that neural networks have strong potential for predicting compressive strength values of concretes containing metakaolin and silica fume.

TL;DR: This paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in suspended sediment estimation by using the monthly streamflow and suspended sediment data from two stations in Turkey as case studies and reveals that the neuro- fuzzy models can be employed successfully in monthly suspension sediment estimation.

TL;DR: A mathematical model is introduced which consider different types of discount (all-unit cost, incremental discount, and total business volume discount) through multi-objective formulation for single item purchasing problem and constraints such as suppliers' capacity and demand are taken into consideration in the model.

TL;DR: A new look at the determinants of a firm's readiness to implement an ERP project is presented and using fuzzy analytic network process a practical framework is developed and the proposed framework is applied to a real case and the advantages are illustrated.

TL;DR: This paper analyzes the use of videogames as a particular case of new technologies in the classroom and presents a set of design guidelines to enable them to incorporate the features of collaborative learning in the videogame development process.

TL;DR: The analysis results show that the dynamic amplification can be larger than two which is recommended by the GSA and DoD guidelines and the collapse mechanism depends greatly on the modeling technique for failed members.

TL;DR: A systematic evaluation of a product with the purpose of replication finds that damaged or broken parts are generally too expensive to replace, or are no longer available.

TL;DR: A web-based simulation and analysis software (TSPAntSim) is developed for solving TSP using ACO algorithms with local search heuristics to find the shortest route for salesperson which visits each given city precisely once.

TL;DR: This paper shows some possibilities of use and benefit from utilising the RE-methodologies and techniques in production process, especially in the case when exists parts without 3D-CAD support, and presents the part digitization techniques available for reverse engineering.

TL;DR: This paper attempts to reduce some of the quality failures detected in Web Engineering development projects by proposing the consideration and evaluation of quality attributes from early stages of the development process.

TL;DR: A meta-heuristic multi-objective is proposed to obtain diverse locally non-dominated solutions for project selection problem and the computational results show the superiority of the proposed algorithm in comparison with NSGA-II.

TL;DR: A neuro-fuzzy approach was developed to relate the input (pipe roughness and Reynolds number) and output (friction coefficient) variables and results reveal that through fuzzy rules and membership functions, the friction factor can be identified, precisely.

TL;DR: In this paper, the state-of-the-art review for the most currently available explicit alternatives to the Colebrook-White equation, is presented.

TL;DR: A software tool for the conceptual design of turbomachinery bladings named ''T4T'' (Tools for Turbomachinery) provides the ability to interactively construct parametric 3D blade rows of various types, including for multistage machines.

TL;DR: GA methodology is applied to discharge and sediment load data obtained from Mississippi river at Missouri, St. Louis and it is found that GAs outperform RM in terms of mean relative error (MRE).

TL;DR: The present paper deals with domino effect analysis for industrial facilities by proposing new models for the impact (probability of impact which depends on the trajectory and geometry of both the target and projectile: ellipses, cylinders and planar plates) and the penetration depth when there is impact.

TL;DR: Some kinds of formations, which may limit the development of the metropolitan area of Istanbul, have been defined and developed model on the ArcGIS 9.1 platform, and settlement suitability analyses have been achieved according to the natural thresholds of the area.

TL;DR: The framework and application of numerical simulation software on earthquake engineering research and practice are described, the networked sub-structural pseudo dynamic tests using PISA3D as the analysis engine are illustrated, and NCREE's recent development on the pre-processing framework GISA2D (Graphical Interface of Inelastic Structural Analysis for 3D systems) is introduced.

TL;DR: The results obtained for a typical puffer chamber with the mesh motion are qualitative in nature and forms the sound basis for future design studies of electro-fluid dynamics of circuit breakers.

TL;DR: The KDSMS is a kind of enterprise management system which has been developed to deal with safety management of each field, research center, and headquarter office and their correlation as well as detailed safety information management.