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Optimum Cooling of Data Centers : Application of Risk Assessment and Mitigation Techniques
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ISBN: 1461456010 1461456029 Year: 2014 Publisher: New York, NY : Springer New York : Imprint: Springer,

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This book provides data center designers and operators with methods by which to assess and mitigate the risks associated with utilization of optimum cooling solutions. The goal is to provide readers with sufficient knowledge to implement measures such as free air cooling or direct liquid immersion cooling properly, or combination of existing and emerging cooling technologies in data centers, base stations, and server farms. This book also: Discusses various telecommunication infrastructures, with an emphasis on data centers and base stations Covers the most commonly known energy and power management techniques, as well as emerging cooling solutions for data centers Describes the risks to the electronic equipment fitted in these installations and the methods of risk mitigation Devotes  a particular focus to an up-to-date review of the emerging cooling methods (such as free air cooling and direct liquid immersion cooling) and tools and best practices for designers, technology developers, installation operators, and owners Informs installation designers and manufacturers of the benefits and limitations of the most common existing and emerging cooling methods Optimum Cooling of Data Centers: Application of Risk  Assessment and Mitigation Techniques is an ideal book for researchers and engineers interested in design,  manufacturing, and optimum operation  of cooling solutions for telecom and other mission-critical infrastructures.


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Optimum Cooling of Data Centers : Application of Risk Assessment and Mitigation Techniques
Authors: --- --- ---
ISBN: 9781461456025 Year: 2014 Publisher: New York, NY Springer

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This book provides data center designers and operators with methods by which to assess and mitigate the risks associated with utilization of optimum cooling solutions. The goal is to provide readers with sufficient knowledge to implement measures such as free air cooling or direct liquid immersion cooling properly, or combination of existing and emerging cooling technologies in data centers, base stations, and server farms. This book also: Discusses various telecommunication infrastructures, with an emphasis on data centers and base stations Covers the most commonly known energy and power management techniques, as well as emerging cooling solutions for data centers Describes the risks to the electronic equipment fitted in these installations and the methods of risk mitigation Devotes  a particular focus to an up-to-date review of the emerging cooling methods (such as free air cooling and direct liquid immersion cooling) and tools and best practices for designers, technology developers, installation operators, and owners Informs installation designers and manufacturers of the benefits and limitations of the most common existing and emerging cooling methods Optimum Cooling of Data Centers: Application of Risk  Assessment and Mitigation Techniques is an ideal book for researchers and engineers interested in design,  manufacturing, and optimum operation  of cooling solutions for telecom and other mission-critical infrastructures.


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Audit analytics in the financial industry
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ISBN: 9781787430860 9781787430853 9781787431737 Year: 2019 Publisher: Bingley Emerald Publishing

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Rutgers studies in accounting analytics : audit analytics in the financial industry
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ISBN: 1787431738 1787430855 Year: 2019 Publisher: Bingley, England : Emerald Publishing,

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In Audit Analytics in the Financial Industry, editors Jun Dai, Miklos A. Vasarhelyi and Ann F. Medinets bring together a cast of expert contributors to explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry.Separated into six parts, the contributors take a variety of approaches to this exploration. In Part One, the contributors present two articles illustrating the process of applying Audit Analytics to solving audit problems. Part Two contains four studies that use various Audit Analytics techniques to discover fraud risks and potential frauds in the credit card sector. In Part Three, the chapter focus on the insurance sector and show the application of clustering techniques in auditing. Part Four includes two chapters on how to employ Audit Analytics in the transitory system for fraud/anomaly detection. Finally, Parts Five and Six illustrate the use of Audit Analytics to assess risk in the lawsuit and payment processes. For students, researchers, and professionals in the accounting sector, this is an unmissable read exploring the latest research in Audit Analytics.

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