While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, trying to reach the destination too quickly demands a large energy supply, while a small powered motion requires longer time. In this paper, we consider such a problem for two different pairs of objectives and employ a m...

Receiver operating characteristic curve is a standard method for reporting performance of a system. In this paper we show how to choose the optimal operating point when we are given a receiver operating curve, the prior probabilities, and the economic gain matrix. Unlike earlier methods, we make no assumptions regarding underlying distributions.

The Genetically Optimized Neural Network System (GONNS) is proposed as a human-like decision-making tool for the selection of optimum composite material and operating conditions. Multiple neural networks represent the characteristics of the system after a training process and genetic algorithms find the optimum operating conditions. The error of the GONNS was found to be less than 1% when the n...

In this paper, the performance of morphological dynamic link architecture (MDLA) is assessed under optimal and real operating conditions. It is shown that MDLA achieves a very low equal error rate on the extended M2VTS database which contains 295 persons’ video data in 8 shots recorded under optimal conditions. However, its performance severely deteriorates, when it is applied to the IBERMATICA...

supersonic separators have found extensive applications in dehumidification of natural gases since 2003. unlike previous studies, which have investigated the inlet conditions and nozzle geometry of supersonic separators for pure fluids, the present study employed a combination of momentum, heat, and mass transfer equations along with virial equation of state (eos) to inspect the effect of inlet...

one of the major issues of increasing agricultural production, is adaptation of technology to specific climatic variables in cultivated areas. knowing the weather and climatic condition and periodic yearly and multi-year changes of meteorological phenomena and deviations from normal values ​​are of major requirements of modern agriculture. in this study, daily, monthly and annual weather data o...

The optimization of the epoxy polymerization process involves a number of con icting objectives and more than twenty decision parameters. In this paper, the problem is treated truly as a multiobjective optimization problem and near-Pareto-optimal solutions corresponding to two and three objectives are found using the elitist nondominated sorting GA or NSGA-II. Objectives, such as the number ave...

Experimental studies on optimal operating conditions for different flow field designs of PEM fuel cells Wei-Mon Yan a,∗, Ching-Hung Yang a, Chyi-Yeou Soong b, Falin Chen c, Sheng-Chin Mei a a Department of Mechatronic Engineering, Huafan University, Shih-Ting, Taipei 223, Taiwan b Department of Aerospace and Systems Engineering, Feng Chia University Seatwen, Taichung 407, Taiwan c Institute of ...

A comprehensive and global sensitivity analysis was conducted under a range of operating conditions. The relative importance of mass transfer resistance versus kinetic parameters was studied and found to depend on the operating regime as follows: Operating under the optimal loading ratio of 1.90(gO(2)/m(3)/d)/(gN/m(3)/d), the system was influenced by mass transfer (10% impact on nitrogen remova...

weather and climate parameters and their effects on crops, is one of the most effective factors in yield increase. agro-climatic studies could be used to determine the potential of various regions and the exploit these resources to the maximum possible extent. in this study, in order to evaluate the agricultural climate of spring canola cultivation in selected stations in hamedan province, the ...