This paper addresses the secure storage and transmission of medical informatics in rapidly growing applications such as teleradiology and telesurgery. In particular, we propose a frequency domain digital watermarking ...
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This paper addresses the secure storage and transmission of medical informatics in rapidly growing applications such as teleradiology and telesurgery. In particular, we propose a frequency domain digital watermarking technique that can be used to authenticate medical images in a distributed diagnosis and home healthcare environment. The most significant result of our method is the semi-reversibility property that undoes most of the degradation attributable to the watermarking process
The growing reliance of networked applications on timely and reliable data transfer requires the underlying networking infrastructure to provide adequate services even in the presence of "persistent" failure...
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In a large embedded real-time system, priority assignment can greatly affect the timing behavior - which can consequently affect the overall behavior - of the system. Thus, it is crucial for model-based design of a la...
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New energy-efficient linear forecasting methods are proposed for various sensor network applications, including in-network data aggregation and mining. The proposed methods are designed to minimize the number of trend...
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In this paper, we present a novel intra-task Dynamic Voltage Scheduling (DVS) algorithm based on the knowledge of frequently executed paths in the control flow graph for real-time embedded systems. The basic idea is t...
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The FDTD method is used to find numerical solutions to Maxwell's equations when analytic ones are prohibitive. Brute force approach to the FDTD method requires costly calculation at every point in the solution gri...
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This paper presents the design, implementation and experiences of a new three hour experimental course taught for a joint undergraduate and graduate class at the University of Missouri-Rolla, USA. This course is uniqu...
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This paper presents the design, implementation and experiences of a new three hour experimental course taught for a joint undergraduate and graduate class at the University of Missouri-Rolla, USA. This course is unique in the sense that it covers the four main paradigms of Computational Intelligence (CI) and their integration to develop hybrid algorithms. The paradigms covered are artificial neural networks (ANNs), evolutionary computing (EC), swarm intelligence (SI) and fuzzy systems (FS). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of paradigms, since no one paradigm is superior to the others in all situations. In doing so, we are able capitalize on the respective strengths of the components of the hybrid CI system and eliminate weakness of individual components. This course is an introductory level course and will lead students to courses focused in depth in a particular paradigm (ANNs, EC, FS, SI). The idea of an integrated course like this is to expose students to different CI paradigms at an early stage in their degree program. The paper presents the course curriculum, tools used in teaching the course and how the assessments of the students' learning were carried out in this course.
Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive ...
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As the increasing of system performance and computing power, embedded systems are more complicated and interactive. Therefore, operating system (OS) plays a more important role in embedded systems to utilize various h...
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ISBN:
(纸本)9781932415537
As the increasing of system performance and computing power, embedded systems are more complicated and interactive. Therefore, operating system (OS) plays a more important role in embedded systems to utilize various hardware and software resources. System developers need to port various operating systems to various embedded hardware platform in order to meet the variability and fast-growing market requirement However, porting an operating system is not trivial even we thoroughly understand the hardware specification and software design. Moreover, how successful we can port an operating system not only decides time to market but also affects performance of the embedded system intensively. Usually, a board support package (BSP) is provided by manufacturers to support porting. However, the BSP is usually proprietary and not transparent to users. In this paper, we propose to release the porting problems by describing hardware specification and booting process of embedded systems in an open reusable document in XML format, BSPXML. We design a universal BSP tool to parse the BSPXML document and generate bootstrap code of any specific embedded OS on a target platform. Moreover, the BSP tool also provides BSP program interface for OS to call even after booting. We believe that the BSP tool is universal and it can ease OS porting process and shorten time-to-market for embedded systems.
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