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Hands-On Guide to Designing Embedded Systems
This second volume of an Artech House bestseller presents an enhanced approach toward product compliance and safety engineering. Written by experts in the field, this new volume presents practical material useful for novice and advanced practitioners. Safety aspects of product approvals, energy management, environmental concerns, material science, radiation, hazardous location, and global market access are explored. Practical features related to global market access are presented, including specific documentation and local labeling requirements, as well as language used for safety instructions and user manuals. Compliance and safety aspects of specific applications, such as information technology equipment, audio-video (multimedia), medical, household, alarms systems, luminaires (including LED-lamps) and lamp control, industrial machinery, and semiconductor manufacturing, are discussed. Environmental attributes, including temperature, atmospheric pressure, relative humidity, vibration, shock and packaging/transportation, and how they affect product safety, are analyzed. Information about testing (environmental, HALT, and HASS) is also provided, focusing on the compliance of electrical products with dedicated environmental regulation.
eBook
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
Flexible job-shop scheduling problem (FJSP) is very important in many research fields such as production management and combinatorial optimization. The FJSP problems cover two difficulties namely machine assignment problem and operation sequencing problem. In this paper, we apply particle swarm optimization (PSO) algorithm to solve this FJSP problem aiming to minimize the maximum completion time criterion. Various benchmark data taken from literature, varying from Partial FJSP and Total FJSP, are tested. Experimental results proved that the developed PSO is enough effective and efficient to solve the FJSP. Our other objective in this paper, is to study the distribution of the PSO-solving method for future implementation on embedded systems that can make decisions in real time according to the state of resources and any unplanned or unforeseen events. For this aim, two multi-agent based approaches are proposed and compared using different benchmark instances.
Journal Article
Implementation of Artificial Intelligence Algorithm In Embedded System
The development of embedded technology directly affects the development of Internet of Things, and the development of artificial intelligence brings great convenience to people's life. Based on this, the implementation method of artificial intelligence algorithm in embedded system is studied. Based on embedded system hardware configuration and the embedded system software running algorithm is optimized, simplifying the operation steps of the embedded system, improve the effect of embedded system, to strengthen the research of embedded technology, and increase investment in manpower and material resources in embedded system research, learning western advanced technology, and the embedded technology is applied in the Internet of things, to improve the effect of artificial intelligence algorithm in the application of the embedded system. The experimental results show that the artificial intelligence algorithm is applied to the embedded system to improve the system performance effectively.
Journal Article
Discrete Unilateral Constrained Extended Kalman Filter in an Embedded System
Since its publication in the 1960s, the Kalman Filter (KF) has been a powerful tool in optimal state estimation. However, the KF and most of its variants have mainly focused on the state estimation of smooth systems. In this work, we propose a new algorithm called the Discrete Unilateral Constrained Extended Kalman Filter (DUCEKF) that expands the capabilities of the Extended Kalman Filter (EKF) to a class of hybrid mechanical systems known as systems with unilateral constraints. Such systems are non-smooth in position and discontinuous in velocity. Lyapunov stability theory is invoked to establish sufficient conditions for the estimation error stability of the proposed algorithm. A comparison of the proposed algorithm with the EKF is conducted in simulation through a case study to demonstrate the superiority of the DUCEKF for the state estimation tasks in this class of systems. Simulations and an experiment were developed in this case study to validate the performance of the proposed algorithm. The experiment was conducted using electronic hardware that consists of an Embedded System (ES) called “Mikromedia for dsPIC33EP” and an external DAC-12 Click board, which includes a Digital-to-Analog Converter (DAC) from Texas Instruments.
Journal Article
Fast and effective embedded systems design : applying the ARM mbed
Fast and Effective Embedded Systems Design is a fast-moving introduction to embedded system design, applying the innovative ARM mbed and its web-based development environment.Each chapter introduces a major topic in embedded systems, and proceeds as a series of practical experiments, adopting a \"learning through doing\" strategy.
eBook