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A survey of adjustable robust optimization
(Elsevier, 2019-09)
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective of static RO is to find solutions that are immune to all perturbations of the data in a so-called ...
Image registration method for mobile-device-based multispectral optical diagnostics for buildings
(The Optical Society, 2019-09-10)
The recent advances in mobile device hardware and software introduced new opportunities to perform more advanced computation and measurements for buildings. Multispectral optical imaging is a widely recognized technique ...
Application of giesekus model for capillary extrusion of rubber compound
(The Society of Chemical Engineers, 2019-02)
Extrudate swell is an important phenomenon occurring when high viscoelastic materials, such as rubber and rubber compounds, are extruded. In this work, the effects of relaxation time and relaxation mode on swell predictions ...
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
(The ACM Digital Library, 2019-06)
We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ...
Impact of electronics over localized hot spots in multi-chip white LED light engines
(IEEE, 2019)
In recent years, demand towards high power white LEDs has risen significantly covering a wide range of application areas. While many industries prefer more light extraction using less number of LED chips on their luminaires, ...
Design of a solenoid based prototype injector for evaluation of electromagnetic parameters
(IEEE, 2019)
Injector is a pump and valve mechanism, that sprays liquid intermittently to intended volume. In this research, evaluation of the electromagnetic properties of a solenoid actuator used in the prototype injector systems has ...
Topology optimization of an anti roll bar of a heavy commercial truck for vehicle dynamics and durability
(The American Society of Mechanical Engineers, 2019)
Meeting the stringent requirements on fuel economy and emissions is still a challenge for automotive original equipment manufacturers (OEMs). In this study, we consider the light weighting opportunities of a heavy commercial ...
DILAF: A framework for distributed analysis of large-scale system logs for anomaly detection
(Wiley, 2019-02)
System logs constitute a rich source of information for detection and prediction of anomalies. However, they can include a huge volume of data, which is usually unstructured or semistructured. We introduce DILAF, a framework ...
DNN-based speaker-adaptive postfiltering with limited adaptation data for statistical speech synthesis systems
(IEEE, 2019)
Deep neural networks (DNNs) have been successfully deployed for acoustic modelling in statistical parametric speech synthesis (SPSS) systems. Moreover, DNN-based postfilters (PF) have also been shown to outperform conventional ...
SHACL constraints with inference rules
(Springer Nature, 2019)
The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints that can be validated against RDF graphs. Interactions of SHACL with other Semantic Web technologies, such ...
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