Controlling weight gain is an important factor when applying any coating, but it becomes absolutely critical when the coating contains an API. This article presents a case study that identifies the critical process parameters for developing a consistent and robust coating process that provides in-range results. low-dose drug products, although manufacturing highdose products is simpler because ...

Abstract—Wireless communication systems either ad hoc or infrastructure mode the key challenges that must be overcome to realize the practical benefits of Quality of Service (QoS). Generally the QoS is the ability for network element to provide some level of assurance for consistent network data delivery. The ability of Wireless Local Area Network (WLAN) to support real-time services is possibl...

This paper presents a novel idea of using an unsupervised neural network to optimize the on-line parameters of an Evolutionary Algorithm with specific attention paid to Genetic Algorithms. The results show a marked improvement in the output of the Neural Optimized Genetic Algorithm. Further research in this field may prove to be fruitful.

In the present work an attempt is made to select the combination of optimum cutting parameters which will result in better surface finish. Machining with optimum cutting parameters will result in minimum machining time and hence increasing the productivity. Four parameters viz. spindle speed, feed, depth of cut and length to diameter (L/D) ratio of boring bar has been taken as control factors. ...

Predicting the main cutting force during turning is of great importance as it helps in setting the appropriate cutting parameters before machining starts.Again, optimization of cutting parameters is one of the most important elements in any process planning of metal parts as economy of machining operation plays a key role in gaining competitive advantage. This paper presents an experimental stu...

Mustafa Baz, Brady Hunsaker Department of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, Pittsburgh, PA 15261, USA, {[email protected], [email protected]} J. Paul Brooks Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA 23284, USA, [email protected] Abhijit Gosavi Department of Industrial & Systems Engineering, Unive...

in this paper we introduce an improvement in the path planning algorithm for the humanoid soccer playing robot which uses ferguson splines and pso (particle swarm optimization). the objective of the algorithm is to find a path through other playing robots to the ball, which should be as short as possible and also safe enough. ferguson splines create preliminary paths using random generated para...

The main objectives of this research are, therefore, to assess the effects of process parameters and to determine their optimal levels machining of Inconel 718 super alloy. gap voltage, current, time of machining and duty factor are tuning parameters considered to be study as process input parameters. Furthermore, two important process output characteristic, have been evaluated in this research...

This survey focuses on the problem of parameters selection in image edge detection by ant colony optimization (ACO) algorithm. By introducing particle swarm optimization (PSO) algorithm to optimize parameters in ACO algorithm, the fitness function based on connectivity of image edge is proposed to evaluate the quality of parameters in ACO algorithm. And the ACO-PSO algorithm is applied to image...

In kernel methods such as SVMs, the data representation, implicitly chosen through the so-called kernel K(x,x′), strongly influences the performances. Recent applications [3] and developments based on SVMs have shown that using multiple kernels instead of a single one can enhance interpretability of the decision function and improve classifier performance. In such cases, a common approach is to...