This paper describes an ongoing study related to the courseware design model which specific to Mathematics learning content application for Special Needs Children. Reviews from literatures indicate that content application such as courseware which is specifically designed to cater the needs of Special Needs Children learners in learning is highly scarce. It was found that most of the existing c...

For the congestion problems in high-speed networks, a Metropolis criterion based Q-learning flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. The Q-learning algorithm, which is independent of mathematic model, shows the particular superiority in high-speed networks. It obtains ...

In problem of portfolio selection, financial Decision Makers (DMs) explain objectives and investment purposes in the frame of multi-objective mathematic problems which are more consistent with decision making realities. At present, various methods have introduced to optimize such problems. One of the optimization methods is the Compromise Programming (CP) method. Considering increasing importan...

For the congestion problems in high-speed networks, a genetic based fuzzy Q-learning flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the Q-learning, which is independent of mathematic model, and prior-knowledge, has good performance. The fuzzy inference is intro...

Unmodelled dynamics and perturbations are always immeasurable. In this paper, an adaptive sliding mode control (ASMC) based on wavelet network (WN) for a class of non-affine multi-variable nonlinear discrete systems is presented in order to compensate them. Wavelet network which parameters are tuned on-line is adopted to realize the equivalent control, and hitting controls are added in order to...

This study proposes a simple and reliable feature selection algorithm for ECG signals which can be applied on heartbeat case determining. A well-established technique, Principal Component Analysis (PCA), is employed for qualitative feature selection in this study. Determination of heartbeat case is carried out by fuzzy logic and Fisher’s linear discriminant analysis (Fisher’s LDA). The proposed...

– Multimedia Information security becomes a important part for the organization’s intangible assets. Level of confidence and stakeholder trusted are performance indicator as successes organization, it is imperative for organizations to use Information Security Management System (ISMS) to effectively manage their multimedia information assets. The main objective of this paper is to Provide a nov...

For the energy management problems for demand response in electricity grid, a Metropolis Criterion based fuzzy Q-learning consumer energy management controller (CEMC) is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for the consumer behavior in electricity grid. In this case, the Q-learning, which is independent of m...

In this article, we discuss anti-periodic oscillations of BAM neural networks with leakage delays. A sufficient criterion guaranteeing the existence and exponential stability of the involved model is presented by utilizing mathematic analysis methods and Lyapunov ideas. The theoretical results of this article are novel and are a key supplement to some earlier studies.

New algorithm for finding longest increasing subsequence is discussed. This algorithm is based on the ideas of idempotent mathematic and uses Max-Plus idempotent semiring. Problem of finding longest increasing subsequence is reformulated in a matrix form and solved with linear algebra.