The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Model predictive control (MPC) is a popular advanced model-based control algorithm for controlling systems that must respect a set of system constraints (e.g. actuator force limitations). However, the computing requirements of MPC limits the suitability of deploying its software implementation into embedded controllers requiring high update rates. This paper presents a scalable embedded MPC controller...
In this paper, we present Intercom, a simulator framework that provides separate components to address the interdependent aspects of IoT systems, such as sensing, physical interaction, wireless communication, and computation. We initially evaluate a scalable sensing and communication model, which simulates wireless signal strength measurements with an average error of 6.1dBm.
Heartbeat monitoring during sleep is critically important to ensuring the well-being of many people, ranging from patients to elderly. Technologies that support heartbeat monitoring should be unobtrusive, and thus solutions that are accurate and can be easily applied to existing beds is an important need that has been unfulfilled. We tackle the challenge of accurate, low-cost and easy to deploy heartbeat...
We present a software configurable and parallelized coprocessor architecture for Linear Quadratic Regulator (LQR) control that can control physical processes representable by a linear state-space model. Our proposed architecture has distinct advantages over purely software or purely hardware approaches. It differs from other hardware controllers in that it is not hardwired to control one or a small...
In modern embedded systems, the C2RTL (high-level synthesis) technology helps the designer to greatly reduce time-to-market, while satisfying the performance and cost constraints. To attack the performance challenges in complex designs, we propose a FIFO-connected hierarchical approach to replace the traditional flatten one in stream applications. Furthermore, we develop an analytical algorithm to...
Indoor emergency response situations, such as urban fire, are characterized by dangerous constantly-changing operating environments with little access to situational information for first responders. In-situ information about the conditions, such as the extent and evolution of an indoor fire, can augment rescue efforts and reduce risk to emergency personnel. Static sensor networks that are pre-deployed...
Vehicle-based pedestrian detection systems play a very important role in the field of intelligent transportation. However, existing pedestrian detection algorithms are too computing extensive for traditional vehicle-based processor. Considering the performance and flexibility of hardware/software co-design architecture (CPU+FPGA), it is feasible to implement these algorithms on such platforms. In...
A new design approach of the LDPC decoder based on FPGA Impulse C Programming is proposed. The latest technique of Impulse C programming is used to implement hardware circuit, which is more efficient than the traditional HDL method. The decoder for a family of (3,6) LDPC Codes with 0.5 code rate and the block size of 2500 bits is implemented on Xilinx Virtex2 XC2V2000. When the maximum iteration time...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.