Artificial Immunology for Collective Adaptive Systems Design and Implementation

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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Evaluation amidst complexity: Eight evaluation questions to explain how complex adaptive systems affect program impact

Evaluation ◽

10.1177/1356389018781357 ◽

2018 ◽

Vol 24 (3) ◽

pp. 353-362 ◽

Cited By ~ 5

Author(s):

Ann Larson

Keyword(s):

Program Evaluation ◽

International Development ◽

Complex Adaptive Systems ◽

Adaptive Systems ◽

Program Performance ◽

Program Impact ◽

Design And Implementation ◽

New Methods ◽

Interacting Agents ◽

Complex Adaptive

International development assistance is increasingly being seen as operating within complex adaptive systems. Evaluators have been developing new methods and approaches that are compatible with the dynamic and unpredictable realities of complex adaptive systems, which are composed of many separate but interacting agents and groups. However, these new methods are not easily implemented in a conventional commissioned end-of-program evaluation. This article builds on what is known about how complex adaptive systems’ properties affect program performance to propose eight evaluation questions. The findings from the questions will reveal if implementers were aware of and responded effectively to complex adaptive systems’ properties. The eight questions can be incorporated within a conventional evaluation to create a plausible narrative for program impact and inform the design and implementation of other programs.

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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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