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Among manufacturing companies there is a wide-spread consensus that women are better suited to perform visual quality inspection, having higher endurance and making decisions with better reproducibility. Up to now gender-differences in visual inspection decision making have not been thoroughly investigated. We propose a machine learning approach to model male and female decisions with classifiers...
The use of conventional kinematic equations for Mecanum wheel based omni-directional mobile robot suffers from position errors mainly because of slips on the wheels. To overcome the problem, we first identify the sources that originate position errors and then introduce the wheel parameter adjustment to reduce the position errors of the robot system. The experimental results show that the presented...
In this paper, a method for on-line fault detection and isolation of uncertain parameter systems is proposed. Residual expressions are generated from bond graph model in derivative causality. Detection is based on residual fixed thresholds around a working point and adaptive thresholds that vary according to the set point. Thresholds are generated from the analysis of residuals' sensitivity to different...
Many studies on Double-Deck Elevator Systems (DDES) have been done for exploring more efficient algorithms to improve the system transportation capacity, especially in a heavy traffic mode. The main idea of these algorithms is to decrease the number of stops during a round trip by grouping the passengers with the same destination as much as possible. Unlike what occurs in this mode, where all cages...
In this paper, a delay-based H∞ tracking performance scheme for chaotic systems with output delays is proposed. The Takagi and Sugeno fuzzy model with adaptation capability is employed to approximate the chaotic system. Based on the fuzzy model, a fuzzy observer-based controller is developed to achieve the H∞ control performance when system with external disturbance rejection. The fuzzy adaptive observers...
A navigator efforts to guide a ship for safe and efficient navigation, and s/he gets a navigational information through five senses. Visual information is most important because it is said to occupy more than eighty percents to whole information. We are researching on relationship between a visual image of seascape and a physiological/ a body response using ship bridge simulator, which is used to...
This paper presents an implementation of soft computing methodologies, like genetic algorithm and fuzzy logic, in identification and control of 2DOF nonlinear helicopter model (Humusoft CE 150). The genetic algorithm is proposed for identification of the physical structure of helicopter system, which contains a helicopter body, main and tail motors and drivers. The quality of helicopter model achieved...
In the present paper an application of a novel neural network architecture called Echo State Network (ESN) within the frame of a reinforcement learning scheme named Adaptive Critic Design (ACD) is proposed. Our aim is to investigate the possibility for on-line training of adaptive critic using the ESN architecture. In particular the application of this approach to mobile robot control is presented...
The natural environments that robotic applications often encounter can present difficult problems for image-based task execution. Prior efforts have used both grayscale and color as statistical appearance descriptors in these applications. In the case of natural environments, the statistical measures of luminosity and chromaticity are often ineffective due to relatively constant shades and colors...
There are a lot of works for software development to mine snippets of code from a large corpus. A new technique, keyword programming is very different from those related works. The input keywords are free from type restriction and this technique generates new code. Because of not requiring a large corpus, it is useful for small projects just started. Our main contributions for this keyword programming...
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