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Switch mode power converters otter an efficient solution for driving high-brightness LEDs in an enormous range of applications. These driving converters usually rely on analog control techniques to ensure the optimal flow of current through the LEDs and provide dimming features. However, due to their inflexibility and non-configurability analog control schemes are not a good option especially in high...
The aim of this study was to assess the repeatability of the EMED®-A and identify the repeatability of data for different types of measurements (walking without load, walking with load, standing without load, and standing with load). Each load weighing 1.5 kg must be hold at left and right hands. Contact area (CA), maximum force (F), peak pressure (PP) were calculated. In addition, coefficient of...
In the recent years, the field of robotics been developed at a very fast pace due to the technology development. Robots been used to perform the tasks that human can and cannot do and this has mad the human life much easier. The most popular robot nowadays is the humanoid robot. Humanoid robot is a robot that been designed to have a similar feature to a human body part such as hand, leg, finger and...
Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study focused on the bottom-most L5-S1 segment of the lumbar. The project was conducted by measuring the range...
This paper presents a case study of wireless sensor network (WSN) system for remote soil moisture monitoring. The development of this system is driven by the needs for having realtime data collection and remote monitoring access capabilities which are lacking in the conventional soil monitoring techniques. Our proposed system is developed using commercially available IRIS motes based on the IEEE 802...
Speech recognition system has application in many areas such as customer call centers and as a medium in helping those with learning disabilities. There are three main stages in speech recognition which are signal analysis, feature extraction and modeling. Feature extraction plays an important role in speech recognition system and good speech feature extraction technique will allow the systems to...
Thermal Imaging is increasingly being used to study heat coming from the body using specialized infrared cameras that measures temperature. The aim of this study was to determine if skin temperature above the muscle was related to EMG signal of the muscle during certain functions. In this study, six subjects carried out arm movements such as wrist flexion-extension, hand close-open and forearm pronation-supination...
An original multi-rotor flying robot (MFR) with six non-planar coaxial rotor pairs is introduced in this paper, compared with the other small rotorcrafts, the corresponding two adjacent face-to-face (F-F) and the back-to-back (B-B) rotor units are proposed as the research component to study the overall performance of the rotorcraft. The main characteristic of this novel configuration is that the attitude...
Proportional-Integral-Derivative (PID) controller is incorporated in Direct-Current (DC) servo motor control application due to its efficiency and ease of implementation. Nevertheless, the existing PID tuning methods are time consuming, and yet expertise and experience are required. Therefore, new approaches to tune PID controller is very important with the aim of obtaining better performances. The...
The aim of this paper is to compare the performance of different kernel of classification support vector machine classification for classifying the physical daily living activities. Thirty subjects from a database performed activities such as walking, sitting, standing, laying, walking upstairs and downstairs. Inertial sensors signals ((accelerometer, gyroscope and magnetometer) from the smartphone...
The flexion and extension of human muscular doesn't only support the human's motion but it also could help in term of energy harvesting. Motion of the human body is capable to generate electrical energy with the support of suitable harvesting devices. This type of energy is very useful for those do not have access to the electrical power grid for prolonged duration. Biomechanical energy harvesting...
The aim of this research work is to design a smart city simulator. The proposed simulator contains the 3D model of several locations of the city with each location equipped with multiple types of virtual sensors node. The virtual sensors mainly include Noise Sensor, Air Pollution, Ultrasonic Sensor, Humidity Sensor, Temperature Sensor and Video Camera. These sensors continuously monitor and collect...
Gravitation energy harvesting of climbed down objects is a promise to harvest unused potential energy from a host building or structure. Similarly, a dynamically dropper mechanism is proved to be a simple and effective electric energy generator, with many practical implementations in power, civil, and mechanical engineering. This research analyzes the prospect of using a mechanism which tends to be...
The PID controller widely used controller across many disciplines due to robustness and simplicity. However, the PID will only perform at its best if the PID gains. To improve the performance of the Proportional-Integral-Derivative controller, latest metaheuristic algorithms are being adapted to tune the PID controller. Therefore, a PID tuning tool is developed to tune the PID controller using variations...
One of the major challenges in industrial process control is to deal with nonlinearities in the plants. There have been a significant amount of research efforts towards design and development of appropriate, reliable and promising control techniques to deployed on real-time industrial applications. Some of the widely used and acknowledged control methods lack in terms of tuning unknown system parameters...
Roller element bearing fault diagnosis is crucial in industry to maintain that the machine is in good condition so that there is no delay of work due to machine breakdown. This paper discusses the use of Extreme Learning Machine (ELM) algorithm to classify bearing faults. The performance of ELM is compared with Back Propagation (BP) algorithm. It was found that the results show that the ELM has smaller...
This paper describes a system-level design for an upper limb spasticity part-task trainer driven by clinical data stored in a cloud database. The robotic part-task trainer has been developed for pre-clinical training of medical personnel on the evaluation of upper limb spasticity based on the Modified Ashworth Scale. The cloud-based system enables continuous updating of clinical data of upper limb...
Smart factories of the era of the fourth industrial revolution or Industry 4.0 that employ a completely new approach to production are beginning to emerge. In this context, information and communication technology driven by the Internet of Things, Data and Services play a vital role. To demystify and showcase how a smart factory works, a reference model consisting of a principle solution and a working...
The Predictive PI controller is considered a viable candidate to replace conventional PID for WirelessHART networked control system (WHNCS). This is due to its shared characteristics of simplicity and ease of manual tuning while allowing for mismatches and improved performance even in the presence of stochastic delay. However, in order to avoid excessive overshoots and oscillations due to the stochastic...
Experience Mapping based prediction controller (EMPC)is a newly developed control strategy which has transformed the learning-prediction-adaptation capability of Human motor control (HMC)into engineering world. The control is achieved by forming input-output mapping of the system to be controlled through direct interaction with it in the intended environment. This paper presents the use of EMPC for...
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