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CALL FOR PAPERS "Soft Sensing in Monitoring and Control" A Special of the Journal of Sensors With the development of measurement and data storage facilities, variables of industrial processes are measured routinely by hardware sensors and stored in real time. However, some properties are difficult to measure and usually unavailable in real time, leading to major difficulty in controlling product quality, although they are important for monitoring and control. Soft sensors, as inferential estimators, can draw conclusions on specific variables from process observations on one or more other variables. To estimate these unmeasured variables, first principles modeling is difficult due to complex reactions and a large number of related variables. Alternatively empirical models and data driven models can be employed to estimate these unmeasured variables without looking into the physical insight about the underlying process and thus obtained more applications. Particularly, data-based multivariate statistical methods and dynamic modeling techniques can be used to build soft sensors. Soft sensing technology has been used to solve many problems, such as performance monitoring, sensor validation, fault detection, and process control. The main focus of this special issue will be on the new and existing soft sensor methodology and applications in monitoring and control, whose goal is to observe a wide variety of usage of soft sensors in various fields. The special issue will become an international forum for researchers to summarize the most recent developments and ideas in the field, with a special emphasis given to the technical and application results obtained within the last decade. Potential topics include, but are not limited to: - Review of soft sensing technology - Soft sensing models and their validation - Data selection and choice of model structure - Data reconciliation and gross error detection - Heterogeneous multisensor fusion - Multirate multisensor fusion - Distributed soft sensing - Fault tolerant soft sensing - Adaptive soft sensing - Robustness and uncertainty of soft sensing - Data structure for soft sensing - Mathematical tools for soft sensing - Database and knowledge base used for soft sensing - Industrial design methodology of soft sensing systems - Optimal design of soft sensing systems - Inferential control based on soft sensing - Performance assessment methods for soft sensing systems - Soft sensing in image systems - Application of Kalman filters in soft sensing - Successful applications Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/js/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/js/ssmc/ according to the following timetable: Manuscript Due: Friday, 10 May 2013 First Round of Reviews: Friday, 2 August 2013 Publication Date: Friday, 27 September 2013 Lead Guest Editor: - Fan Yang, Department of Automation, Tsinghua University, Beijing 100084, China Guest Editors: - Sirish L. Shah, Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada T6G 2G6 - Deyun Xiao, Department of Automation, Tsinghua University, Beijing 100084, China - Arun K. Tangirala, Department of Chemical Engineering, IIT Madras, Chennai, Tamil Nadu 600036, India