design and optimization of a single crystalline silicon (c-si) solar cell is performed to achieve the maximum light conversion efficiency. various parameters such as doping concentration and thicknesses, and geometrical dimension of surface pyramids are studied. the inverted surface pyramid is used to increase the efficiency of the solar cell, and engineered oxide layer is used as the passivati...

the purpose of this research is to investigate thermoeconomic optimization and exergy analysis of transcritical co2 refrigeration cycle with an ejector. after modeling thermodynamic equations of elements and considering optimization parameters of emerging temperature of gas of cooler (tgc) , emerging pressure of cooler's gas (pgc) , and evaporative temperature (tevp) , optimization of targ...

background: the complexity of the fermentation processes is mainly due to the complex nature of the biological systems which follow the life in a non-linear manner. joined performance of artificial neural network (ann) and genetic algorithm (ga) in finding optimal solutions in experimentation has found to be superior compared to the statistical methods. range of applications of β-cyclodextrin (...

injection molding is one of the most important and common plastic formation methods. combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

We describe several language and pronunciation modeling techniques that were applied to the 1996 Hub 4 Broadcast News transcription task. These include topic adaptation, the use of remote corpora, vocabulary size optimization, n-gram cutoff optimization, modeling of spontaneous speech, handling of unknown linguistic boundaries, higher order n-grams, weight optimization in rescoring, and lexical...

This paper presents the robust optimization framework in the modeling language YALMIP, which carries out robust modeling and uncertainty elimination automatically, and allows the user to concentrate on the high-level model. While introducing the software package, a brief summary of robust optimization is given, as well as some comments on modeling and tractability of complex convex uncertain op...

We describe several language and pronunciation modeling techniques that were applied to the 1996 Hub 4 Broadcast News transcription task. These include topic adaptation, the use of remote corpora, vocabulary size optimization, n-gram cutoff optimization, modeling of spontaneous speech, handling of unknown linguistic boundaries, higher order n-grams, weight optimization in rescoring, and lexical...