Harnessing Multimodal Architectural Dependencies for IT-Business Alignment and Portfolio Optimization: A Statistical Approach

Advances in Intelligent Systems and Computing - Digital Enterprise Design & Management ◽

10.1007/978-3-319-04313-5_4 ◽

2014 ◽

pp. 35-46

Author(s):

Zenon Mathews ◽

Livio Kaeslin ◽

Bernhard Rytz

Keyword(s):

Portfolio Optimization ◽

Statistical Approach ◽

Business Alignment

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Statistical Approach to Modeling Reduced Shear Capacity of Corrosion-Damaged Reinforced Concrete Beams

Practice Periodical on Structural Design and Construction ◽

10.1061/(asce)sc.1943-5576.0000564 ◽

2021 ◽

Vol 26 (2) ◽

pp. 04020073

Author(s):

Mahmoodreza Soltani ◽

Adham Abu-Abaileh ◽

Bryan Scott Rowe

Keyword(s):

Reinforced Concrete ◽

Statistical Approach ◽

Concrete Beams ◽

Shear Capacity ◽

Reinforced Concrete Beams

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Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v4i1.82 ◽

2017 ◽

Vol 4 (1) ◽

pp. 41-52

Author(s):

Dedy Loebis

Keyword(s):

Kalman Filtering ◽

Statistical Approach ◽

Water Systems ◽

Data Sets ◽

Pressure Data ◽

Burst Event ◽

Sample Data ◽

Other Information ◽

Supply Systems ◽

Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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