Supply chain network design using an integrated neuro-fuzzy and MILP approach: A comparative design study

In this study, an integrated supply chain (SC) design model is developed and a SC network design case is examined for a reputable multinational company in alcohol free beverage sector. Here, a three echelon SC network is considered under demand uncertainty and the proposed integrated neuro-fuzzy and mixed integer linear programming (MILP) approach is applied to this network to realize the design effectively. Matlab 7.0 is used for neuro-fuzzy demand forecasting and, the MILP model is solved using Lingo 10.0. Then Matlab 7.0 is used for artificial neural network (ANN) simulation to supply a comparative study and to show the applicability and efficiency of ANN simulation for this type of problem. By evaluating the output data, the SC network for this case is designed, and the optimal product flow between the factories, warehouses and distributors are calculated. Also it is proved that the ANN simulation can be used instead of analytical computations because of ensuring a simplified representation for this method and time saving.     

Microelectromechanical System for Controlling Flow Past an Airfoil: Pressure Transducers

A technology is developed for making single-chip diaphragm pressure sensors with polycrystalline-silicon piezoresistive elements on a monocrystalline-silicon substrate. It allows one to produce piezoresistive elements with a conductivity–temperature characteristic that neutralizes the temperature dependence of piezoresistive sensitivity. Sensors with a 1.8 × 1.8-mm² diaphragm are designed and fabricated by the above technology for pressures ranging from 1 to 10⁵ Pa, showing a maximum sensitivity of 10^–6 Pa^–1. The sensors are tested in aerodynamic experiments on monitoring the flow past a model wing of finite span at angles of attack close to the stall angle.     

Thermal pressure coefficient of a polyhedral oligomeric silsesquioxane (POSS)‐reinforced epoxy resin

The thermal pressure coefficients of a neat, unfilled, epoxy resin and a 10 wt % POSS (polyhedral oligomeric silsesquioxane)‐filled epoxy nanocomposite have been measured using a thick‐walled tube method. It is found that just below the glass transition temperature the thermal pressure coefficient is ～ 20% smaller for the polymer composite containing 10% POSS than for the neat, unfilled resin. The thermal expansion coefficient and thermal pressure coefficient of the uncured POSS itself are also reported. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010     

Drying kinetics,colour, total phenolic content and antioxidant capacity properties of kiwi dried by different methods

This study analysed the convective (60, 70 and 80° C), microwave (120 and 350 W) and freeze drying methods in terms of their effects on the drying characteristics, colour, total phenolic content (TPC) and antioxidant capacity of kiwi slices. Nine different mathematical models were applied to experimental data to achieve the most accurate calculation for drying curves. The Midilli et al. and Wang and Singh models proved to be the most suitable at explaining the drying kinetics of kiwi samples as compared to other models according to the statistical tests. Each drying method was significantly affected by colour parameters (L*, a*, b*, C, α and ΔE). The dried samples exhibited respectively 5–49 % and 10–47 % less TPC and antioxidant capacity compared to the fresh sample. According to the correlation analysis conducted between TPC and antioxidant capacity for kiwi slices, there is a positive correlation (R ²  = 0.7796). Microwave dried samples at 120 W particularly had the lowest TPC and antioxidant capacity. Freeze drying method yielded the closest values with respect to colour values, total phenol content and antioxidant capacity to those of fresh samples when compared to the other methods.     

Utilization of waste loquat (Eriobotrya Japonica Lindley) kernels as substrate for scleroglucan production by locally isolated Sclerotium rolfsii

Present study mainly focused on investigating the feasibility of waste loquat kernels as substrate in submerged culture of Sclerotium rolfsii MT-6 for scleroglucan production. Loquat kernel contained high protein (22.5%) and total carbohydrate (71.2%) contents. Dried and powdered kernels were subjected to acid hydrolysis with 2 N HCl. The obtained hydrolysate was used for the preparation of loquat kernel extract (LKE) and detoxified loquat kernel extract (DLKE). S. rolfsii MT-6 was isolated from fermented squash (Cucurbita pepo). Optimal conditions for scleroglucan production were initial pH 5.0, shaking speed 150 rpm, 28°C, and cultivation time of 72 hr. Production media prepared with DLKE or LKE gave maximum biomass concentrations of 17.06 and 16.21 g/L, and maximum scleroglucan concentrations of 12.08 and 10.53 g/L, respectively. DLKE was also favorable substrate for mycelial growth in a uniform pellet form. This is a first report on the application of waste loquat kernels as scleroglucan production substrate and on the use of a local S. rolfsii isolate for this purpose.     

An integrated interval-valued intuitionistic fuzzy AHP-TOPSIS methodology to determine the safest route for cash in transit operations: a real case in Istanbul

Neural Computing and Applications - The Cash in Transit (CIT) deals with the money distribution and picking up between depot(s), central bank, bank branches, Automated Teller Machines (ATMs),...     

Multi-modal control framework for a semi-autonomous wheelchair using modular sensor designs

This paper presents the hardware and software control framework for a semi-auton omous wheelchair. The hardware design incorporates modular and reconfigurable sensors and corresponding low-level software architecture. Two control schemes are discussed. Assisted control that augments the user inputs by providing functionalities such as obstacle avoidance and wall following. And, semi-autonomous navigation which takes higher level destination goals and executes a simultaneous localization and mapping algorithm. We also propose an adaptive motion control with a online parameter estimation. The paper presents both experimental and simulation results.