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6 papers · 1 filter
Design and Development of a Robust Tolerance Optimisation Framework for Automated Optical Inspection in Semiconductor Manufacturing
Shruthi Kogileru, Mark McBride, Yaxin Bi +1
Automated Optical Inspection (AOI) is widely used across various industries, including surface mount technology in semiconductor manufacturing. One of the key challenges in AOI is…
Deep Learning-Aided Perturbation Model-Based Fiber Nonlinearity Compensation
Shenghang Luo, Sunish Kumar Orappanpara Soman, Lutz Lampe +1
Fiber nonlinearity effects cap achievable rates and ranges in long-haul optical fiber communication links. Conventional nonlinearity compensation methods, such as perturbation theo…
Perturbation Theory-Aided Learned Digital Back-Propagation Scheme for Optical Fiber Nonlinearity Compensation
Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman +4
Derived from the regular perturbation treatment of the nonlinear Schrodinger equation, a machine learning-based scheme to mitigate the intra-channel optical fiber nonlinearity is p…
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm
Scot Davidson, Niamh McCallan, Kok Yew Ng +4
Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing an…
Second-Order Perturbation Theory-Based Digital Predistortion for Fiber Nonlinearity Compensation
O. S. Sunish Kumar, A. Amari, O. A. Dobre +1
The first-order (FO) perturbation theory-based nonlinearity compensation (PB-NLC) technique has been widely investigated to combat the detrimental effects of the intra-channel Kerr…
Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System
K. Y. Ng, E. Frisk, M. Krysander
This paper presents a method to enhance fault isolation without adding physical sensors on a turbocharged spark ignited petrol engine system by designing additional residuals from…