CHIBLE , Hussein

Enabling touch-sensing capability would help appliances understand interaction behaviors with their surroundings. Many recent studies are focusing on the development of electronic skin because of its necessity in various application domains, namely autonomous artificial intelligence (e.g., robots), biomedical instrumentation, and replacement...

In this paper we present a CORDIC based FPGA implementation of Singular Value Decomposition for real time tactile information processing. The design is implemented to handle an arbitrary size two dimensional sensor input matrix. Besides the accuracy of the computation, implementation results figure out a relationship between used...

Embedded electronic systems for tactile data processing capture the attention of recent researchers because of its importance in many domains. Machine learning based on tensorial kernel approach has proven its effectiveness in processing tactile information. Computing tensorial kernel corresponds to computing the singular value...

In biomedical engineering specifically in the branch of breathe analysis, the concentration of the gas in the breath is converted to a variation in resistance, such that each gas molecule is represented by a value of resistance. The array of resistive gas sensors analyze the gases released in breathe which are indications for many diseases. The...

Nowadays many application domains require an embedded electronic system for tactile data processing. Our research aims to implement a real time embedded electronic system based on tensorial kernel approach for tactile data processing. Singular value decomposition represents the more computational expensive algorithm for the tensorial kernel...

Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in low power applications such as internet of things (IoT) and wireless sensor networks (WSN). In...

The effort to develop an electronic skin is highly motivated by many application domains namely robotics, biomedical instrumentations, and replacement prosthetic devices. Several e-skin systems have been proposed recently and have demonstrated the need of an embedded electronic system for tactile data processing either to mimic the human skin...

Machine learning techniques aim to mimic the human ability to automatically learn how to perform tasks through training examples. They have proven capable of tasks such as prediction, learning and adaptation based on experience and can be used in virtually any scientific application, ranging from biomedical, robotic, to business decision...

Edge Computing enables to perform measurement and cognitive decisions outside a central server by performing data storage, manipulation, and processing on the Internet of Things (IoT) node. Also, Artificial Intelligence (AI) and Machine Learning applications have become a rudimentary procedure in virtually every industrial or preliminary...

This paper presents a motion sensing add-on and a graphical user interface for the balance board. Our system adds kinetic sensing to the board in order to record its rotation in the 3D space. A sports game, a 3D video game for ski training, is set to be controlled by the rotation of the balance board. The system thus adds to the balance board...

Nowadays, cities can be perceived as increasingly dangerous places. Usually, CCTV is one of the main technologies used in a modern security system. However, poor light situations or bad weather conditions (rain, fog, etc.) limit the detection capabilities of image-based systems. Microwave radar detection systems can be an answer to this...

Radar Target classification has gained huge interest in many fields over the years in applications like road surveillance, smart gates, and autonomous driving. This is accompanied with the new advancements in the radar technologies that made radars a cheap optional replacement of cameras for such applications. Target recognition requires the...

With the rise of Internet of Things (IoT) and Edge Computing, which are technologies that rely on smart and low power computing nodes with adequate processing power and storage capabilities, it is expected that Artificial Intelligence and machine learning will play a role in the continuous spreading of their application fields. One of the most...