Nonlinear dynamics in telecommunication systems: design and implementation of a large array of service processing elements

Siemens has been on the cutting edge of the power generation business for over a century and has been providing diagnostics systems design and implementation since the early 1980s. Siemens Power Diagnostics® Services is designed to maximize plant performance, availability and profitability. Engineering knowledge, combined with the use of sophisticated tools, provides trending and analysis capabilities to address a broad range of operating needs specific to each customer. The goal of Power Diagnostics® is to enhance Siemens assistance to our customers through the detection of impending operational problems thereby helping to minimize unplanned outages and maximize power generation availability. A variety of new technologies are being harnessed to further this goal. A survey and discussion of these technologies will be the goal of this paper. Some of the projects discussed will be; Advances in the Power Plant Automated Diagnostics Systems, Blade Vibration Monitor (BVM), Fiber Optic Vibration Monitor (FOVM), and the Radio Frequency Monitor (RFM). The development and verification phases of research projects have often been conducted at customer sites. Many aspects of these technologies are new and will be of interest to gas turbine engineers as they are not widely applied yet. It is hoped that the reader will gain a new appreciation for the scope of modern diagnostic methods for power generation systems.

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Programming the Linpack Benchmark for the IBM PowerXCell 8i Processor

Scientific Programming ◽

10.1155/2009/401691 ◽

2009 ◽

Vol 17 (1-2) ◽

pp. 43-57 ◽

Cited By ~ 4

Author(s):

Michael Kistler ◽

John Gunnels ◽

Daniel Brokenshire ◽

Brad Benton

Keyword(s):

High Speed ◽

Double Precision ◽

Data Movement ◽

Processing Elements ◽

Cell Broadband Engine ◽

Design And Implementation ◽

Computational Capability ◽

High Speed Data ◽

Linpack Benchmark ◽

And Performance

In this paper we present the design and implementation of the Linpack benchmark for the IBM BladeCenter QS22, which incorporates two IBM PowerXCell 8i1processors. The PowerXCell 8i is a new implementation of the Cell Broadband Engine™2 architecture and contains a set of special-purpose processing cores known as Synergistic Processing Elements (SPEs). The SPEs can be used as computational accelerators to augment the main PowerPC processor. The added computational capability of the SPEs results in a peak double precision floating point capability of 108.8 GFLOPS. We explain how we modified the standard open source implementation of Linpack to accelerate key computational kernels using the SPEs of the PowerXCell 8i processors. We describe in detail the implementation and performance of the computational kernels and also explain how we employed the SPEs for high-speed data movement and reformatting. The result of these modifications is a Linpack benchmark optimized for the IBM PowerXCell 8i processor that achieves 170.7 GFLOPS on a BladeCenter QS22 with 32 GB of DDR2 SDRAM memory. Our implementation of Linpack also supports clusters of QS22s, and was used to achieve a result of 11.1 TFLOPS on a cluster of 84 QS22 blades. We compare our results on a single BladeCenter QS22 with the base Linpack implementation without SPE acceleration to illustrate the benefits of our optimizations.

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E-government Systems Design and Implementation in Developed and Developing Countries: Results from a Qualitative Analysis

Lecture Notes in Computer Science - Electronic Government ◽

10.1007/978-3-319-22479-4_4 ◽

2015 ◽

pp. 44-58 ◽

Cited By ~ 1

Author(s):

Catherine G. Mkude ◽

Maria A. Wimmer

Keyword(s):

Developing Countries ◽

Qualitative Analysis ◽

Systems Design ◽

Design And Implementation

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Distributed Staff’s Integral Systems Design and Implementation

Lecture Notes in Computer Science - Intelligent Computing Technology ◽

10.1007/978-3-642-31588-6_36 ◽

2012 ◽

pp. 277-283

Author(s):

Qing Xie ◽

Guo-Dong Liu ◽

Zheng-Hua Shu ◽

Bing-Xin Wang ◽

Deng-Ji Zhao

Keyword(s):

Systems Design ◽

Design And Implementation ◽

Integral Systems

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DRM Systems: Design and Implementation

Digital Rights Management ◽

10.4324/9780080491172-7 ◽

2006 ◽

pp. 138-183

Keyword(s):

Systems Design ◽

Design And Implementation

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Enhancing ‘Fit' of Health Information Systems Design Through Practice Support

Human, Social, and Organizational Aspects of Health Information Systems ◽

10.4018/978-1-59904-792-8.ch003 ◽

2010 ◽

pp. 50-66 ◽

Cited By ~ 2

Author(s):

Craig E. Kuziemsky

Keyword(s):

Information Systems ◽

Severe Pain ◽

Empirical Studies ◽

Systems Design ◽

Healthcare Setting ◽

Design And Implementation ◽

Empirical Level ◽

Computer Based ◽

Information Practice

The design and implementation of healthcare information systems (HIS) is problematic as many HIS projects do not achieve the desired outcomes. There exist a number of theories to enhance our ability to successfully develop HIS. Examples of such theories include ‘fit’ and the sociotechnical approach. However, there are few empirical studies that illustrate how to understand and operationalize such theories at the empirical level needed for HIS design. This chapter introduces a practice support framework that bridges the gap between the theoretical and empirical aspects of HIS design by identifying specific process and information practice supports that need to be considered to actively produce fit of an HIS within a healthcare setting. The chapter also provides an empirical case study of how practice support was used to develop a computer based tool in the domain area of palliative care severe pain management.

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