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Typing notification of instant messaging APPs improves user experience during online chatting. However, frequent notification leads to high energy consumption of mobile devices. In this paper, we study the trade-off between the frequency of typing notifications for user experience and communication energy saving of mobile device. We propose adaptive typing notification mechanisms, which exploit user's...
This paper proposed an economic dispatch scheme based on stochastic frame. Compared with conventional dispatch, the stochastic dispatch fully considers the variation of distributed load variations in the grid between dispatch intervals. The objective function of the stochastic dispatch scheme aims to minimize the distribution of fuel cost rather than a single value. Due to the stochastic analysis,...
This paper enhances the hierarchical fuzzy model to deal with the classification problems by adopting evolutionary genetic algorithm (GA) with a modified artificial bee colony (ABC) algorithm. Traditionally, fuzzy classifier could not provide a sufficiently high classification rate in higher feature dimension with few rules. In the literature, the genetic algorithm can take advantage from the global...
Music is everywhere in the world, and its applications in commerce are extremely versatile. Generally speaking, in order to create some music for background music, it is necessary to engage sound recordists and instrumental performers. However, the process is very time-consuming and costly. In this paper, a real-time emotion-based music accompaniment system is proposed to solve this issue. For different...
The proposed novel ladder climbing trainer has two operation areas, a 90° vertical area and a 75° inclination area. The innovative ladder climbing trainer has not only an active control module which uses external power to drive a direct current (DC) motor but also passive power which is directly actuated by the motion of the user. The design of the control environment for this ladder-climbing trainer...
In this paper, a novel computing methodology called DNA-RGA computing algorithm, which combines the characteristics of DNA and Real Coded Genetic algorithm, is proposed to design fuzzy controller and to improve the performance of systems. In order to explore the major merit of DNA-RGA computing algorithm in the field of control systems, this paper presents a variable PID-like fuzzy controller design...
Basing on the simulation of a social metaphor instead of the survival of the fittest individual paradigm, particle swarm optimization is a population-based swarm intelligence algorithm. Inspired by the conventional particle swarm method, ecological theory, and biological theory, this work proposes a novel ecological-biological-behaved particle swarm optimization (EBB-PSO) algorithm using logical growth...
This paper proposes a new hierarchical fuzzy model (HFM) to solve the classification problem. The developed classification model comprises of two stages; one is to generate the fuzzy IF–THEN rules for each subsystem and the other is to determine the classification unit. For the classification problem, number of rules and the correct classification rate are the fundamental requirements. In this paper,...
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