We present the implementation of aligned carbon nanotubes (CNTs) as a method to enhance properties of traditional advanced composites. The hybrid composites are 3-dimensional architectures of aligned CNTs, and existing advanced fibers and polymeric resins creating nanoengineered composites. Our work to date has focused on interlaminar strength and toughness, and electrical and thermal conductiv...

The paper presents an advanced Fuzzy self-tuning PID controller theory and it implement its applications on Data I/O’s automated robotic programming systems. Considerable programming technology shift occurred in recent device programmer industry; programming density have been constantly fast growing from lowvolume to high-volume programming for all kinds of non-volatile flash memory devices suc...

The goal of this paper is to show the potential of fuzzy sets and neural networks, often referred to as soft computing, for aiding in all aspects of manufacturing of advanced materials like ceramics. In design and manufacturing of advanced materials it is desirable to find which of the many processing variables contribute most to the desired properties of the material. There is also interest in...

Power Factor Correction (PFC) provides well-known benefits to electric power systems. These benefits include power factor correction, poor power factor penalty utility bill reductions, voltage support, release of system capacity, and reduced system losses. The performance of fuzzy logic controller only depends on the selection of membership function and Inference of fuzzy rules, fuzzy logic con...

A soft linen emulsion rate intelligent control system based on the domain interpolation algorithm with self adjusting is introduced. In the hemp textile industry, soft linen deal processes can directly affect its following process. We take the lead to use the fuzzy control method applied in soft linen emulsion rate of Intelligent Control System. In the research process, the improvement of produ...

Kheirfam and Hasani (Sensitivity analysis for fuzzy linear programming problems with fuzzy variables, Advanced Modeling and Optimization, 12 (2010) 257-272), proposed a new method to deal with the sensitivity analysis of such fuzzy linear programming (FLP) problems in which all the elements of coefficient matrix of the constraints and the coefficients of the decision variables in the objective ...

This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodological framework includes three main developmental phases: (1) establishment of a GL strategic hierarchy, (2) formulation of GL-mode identification rules, and (3) development of a GL-mode choice model. By integrating a...