Journal article
System Informatics: From Methodology to Applications
IEEE intelligent systems, Vol.30(6), pp.12-13
11/01/2015
DOI: 10.1109/MIS.2015.111
Abstract
This installment of Trends & Controversies provides an array of perspectives on the latest research in system informatics. Kang Zhao, Yao Xie, and Kwok-Leung Tsui introduce the work in 'System Informatics: From Methodology to Applications.' On the methodology side, in 'Projection-Based Process Monitoring and Empirical Divergence,' Wenpo Huang, Wei Jiang, Qingming Wei, and Yanting Li propose a framework of projection-based methods, and in 'One-Class Classification Methods for Process Monitoring and Diagnosis,' Sugon Cho and Seoung Bum Kim discuss how a data analytics algorithm can be used as a control chart. On the application side, 'IoT-Enabled System Informatics for Service Decision Making,' by Kaibo Liu and Jianjun Shi, reviews current trends and future opportunities for IoT, with a special focus on issues related to the big data collected by multiple sensors. 'Quantifying the Risk Level of Functional Chips in DRAM Wafers,' by Young-Seon Jeong, Byunghoon Kimb, Seung Hoon Tong, In-Kap Chang, and Myong K. Jeong, not only identifies research challenges and opportunities for decision making with massive data in the process of semiconductor manufacturing but also quantifies the risk level of functional chips in DRAM wafers. Finally, 'Flight Operations Monitoring through Cluster Analysis: A Case Study,' by Florent Charruaud and Lishuai Li, describes a new method called cluster-based anomaly detection to help airline safety experts monitor daily flights and detect anomalies.
Details
- Title: Subtitle
- System Informatics: From Methodology to Applications
- Creators
- Kang Zhao - University of IowaYao Xie - Georgia Institute of TechnologyKwok-Leung Tsui - City University of Hong Kong
- Resource Type
- Journal article
- Publication Details
- IEEE intelligent systems, Vol.30(6), pp.12-13
- Publisher
- IEEE
- DOI
- 10.1109/MIS.2015.111
- ISSN
- 1541-1672
- eISSN
- 1941-1294
- Number of pages
- 2
- Grant note
- 1233800 / Div Of Civil, Mechanical, & Manufact Inn; National Science Foundation (NSF); NSF - Directorate for Engineering (ENG)
- Language
- English
- Date published
- 11/01/2015
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380530402771
Metrics
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