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Asthma is among the most common condition, and it has been reported that it is currently poorly controlled. In this work, wheeze sound were analysed to classify different levels of asthma severity. Wheeze signals were obtained from patients with three asthma severity levels, namely mild, moderate and severe asthma. The wheeze sounds detected were then used for a feature extraction process using mel-frequency...
In the real world, sensors are always exposes to noise and error during measurements. These problems will lead to invalid and overshoot readings, as well as blank data. Fortunately, these errors can be treated using filters. For data collection process using laser range finder, the use of filters is necessary as they can help to overcome the laser limitations and improve the scanning input. Here,...
This paper highlights on the development of a Ultrasonic Sensor Bank with sixteen pieces 40 kHz ultrasonic sensor (USB-16) mounted on hexadecagon-based plate on a mobile robot to perform real time 2D and 3D mapping. The purpose of this research is to evaluate the capability of USB-16 in providing an accurate map in terms of the walls perimeter and its shape, where the robot is located. Each wall will...
This paper describes the usage of sixteen piece 40 kHz ultrasonic sensors, known as Ultrasonic Sensor Bank (USB-16) mounted on a mobile robot platform. The Homogeneous Transformation Matrix (HTM) and trigonometric algorithm is utilized in this research as a wall mapping algorithm. The walls were designed with four types of basic shapes such as rectangle, triangle, curved and square, which are rarely...
The environment mapping in one of the necessary aspects in mobile robotics studies when dealing with localization, positioning, autonomous navigation, as well as search and rescue. Its success depends on the accuracy and reliability of its implementation and may depend on sensors which are used to acquire the environment data. This paper presents work on mapping which uses a low cost laser rangefinder,...
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