Ubiquitous computing is extending its applications to an increasing number of domains. “Monolithic” approaches use centralised systems, controlling devices and users’ requests. A different solution can be found in works proposing “distributed” intelligent devices that communicate, without a central reasoner, creating little communities to support the user. If the former approach uses all the av...

The concept of controlling non-linear systems is one the significant fields in scientific researches for the purpose of which intelligent approaches can provide desirable applicability. Fuzzy systems are systems with ambiguous definition and fuzzy control is an especial type of non-linear control. Inverse pendulum system is one the most widely popular non-linear systems which is known for its s...

Hand gesture recognition is a user-friendly and intuitive means for human machine interaction. This paper proposes a novel 3D hand gesture recognition method for controlling an intelligent wheelchair based on both colour and depth information. Image depth information of human palm is obtained by a 3D Kinect vision sensor and then its position is obtained through the hand analysis module in Open...

Controlling a robotic device by using human brain signals is an interesting and challenging task. The device may be complicated to control and the nonstationary nature of the brain signals provides for a rather unstable input. With the use of intelligent processing algorithms adapted to the task at hand, however, the performance can be increased. This paper introduces a shared control system th...

In this paper, the solar panel using fuzzy controlled maximum power point tracking is analysed for a brushless DC motor (BLDC). The BLDC is powered by the solar panel through an integrated inverter circuit to produce an AC signal. The solar panel power obtained is tracked by an artificial intelligent technique using fuzzy logic controller to extract the maximum power from the panel. The maximum...

This paper proposes a knowledge-based model applied to an experimental scale evaporative cane sugar crystallization process, which combines the methods of offline and online knowledge acquisition. Firstly, a data mining method based on rough set theory is utilized to extract information from the large quantity of relevant data obtained in experiment. This method products an offline predictive k...

In this Paper, an Intelligent Direct Torque Control (DTC) method is proposed for controlling induction motor using Multilevel inverter with space Vector Modulation (SVM).A stage of Artificial Neural Network (ANN) is utilised for predicting the target parameters with the corresponding input parameters change in motor torque and flux. The change in motor torque and flux parameters are extracted f...

This paper presented an intelligent motor test system in order to adapt the development trend of larger data scale and more complicated acquisition environment, and solve the low efficiency problem of motor testing device. It described the scheme of computer automatic data acquisition and processing system, application program structure and distributed network group control strategy of the inte...

This paper provides a low cost-effective and flexible home control and monitoring system with the aid of an integrated micro-web server with internet protocol (IP) connectivity for access and to control of equipment and devices remotely using Android-based smartphone app. The proposed system does not require a dedicated server PC with respect to similar systems and offers a new communication pr...