Titlebook: Soft Computing in Industrial Applications; Proceedings of the 1 Václav Snášel,Pavel Krömer,Gerald Schaefer Conference proceedings 2014 Spri

Jocose

An Approach to Fuzzy Modeling of Anti-lock Braking Systems of the nonlinear ABS process model at ten operating points. The Takagi-Sugeno (T-S) fuzzy models are obtained by the modal equivalence principle, where the local state-space models are the rule consequents. The optimization problems are defined in order to minimize the objective functions expressed

慢慢啃

Perigee

Fuzzy Reliability Analysis of Washing Unit in a Paper Plant Using Soft-Computing Based Hybridized Teomponents’ failure and repair pattern. Paper computes different reliability parameters of the system in the form of fuzzy membership functions. Two soft-computing based hybridized techniques namely Genetic Algorithms Based Lambda-Tau (GABLT) and Neural Network and Genetic Algorithms Based Lambda-Tau

使闭塞

Multi-objective Algorithms for the Single Machine Scheduling Problem with Sequence-dependent Family e the makespan and the total weighted tardiness. In order to solve the problem two multi-objective algorithms are analyzed: one based on Multi-objective Variable Neighborhood Search (.) and another on Pareto Iterated Local Search (.). Two literature algorithms based on . are adapted to solve the pro

镀金

Multi-Sensor Soft-Computing System for Driver Drowsiness DetectionDriver status monitoring belongs to the key components of advanced driver assistance system which is capable of improving car and road safety without compromising driving experience. This paper presents a novel approach to driver status monitoring aimed at drowsiness detection based on depth camera,

入伍仪式

A New Evolving Tree for Text Document Clustering and Visualizationons, ., (1) it does not support online learning; and (2) the map size has to be pre-determined and this can potentially lead to many “trial-and-error” runs before arriving at an optimal map size. Thus, an evolving model, i.e., the Evolving Tree (ETree), is used as an alternative to the SOM for under

ALLEY

Brain–Computer Interface Based on Motor Imagery: The Most Relevant Sources of Electrical Brain Activace (BCI). To identify individual source contribution into EEG recorded during the training, Independent Component Analysis (ICA) was employed. Those independent components, for which the BCI system classification accuracy was at maximum, were treated as relevant to performing the motor imagerytasks

有帮助

A Single Input Rule Modules Connected Fuzzy FMEA Methodology for Edible Bird Nest Processingrence System (FIS) and the Risk Priority Number (RPN) model. Two main limitations are: (1) it is difficult and impractical to form a complete fuzzy rule base when the number of required rules is large; and (2) fulfillment of the monotonicity property is a difficult problem. In this paper, a new fuzz

无价值

A Novel Energy-Efficient and Distance-Based Clustering Approach for Wireless Sensor Networksodes is a famous two-layered architecture which is suitable for WSNs and has been extensively explored for different purposes and applications. In this paper, a novel clustering approach called the Energy-Efficient Distance-based Clustering (EEDC) protocol is proposed for WSNs. Selecting the cluster

有特色

Characterization of Coronary Plaque by Using 2D Frequency Histogram of RF Signal, observed by the intravascular ultrasound catheter rotating in the coronary artery, are used for the tissue characterization. The conventional methods only use the frequency spectrum at the point of tissue of concern. However, in the proposed method the 2D histogram, concerning frequency and spectr