Identifying procedural automation opportunities in the process industry using pattern mining on logged process data

The process industry is increasingly oriented towards automation. Use is made of both automated systems and human operators to control processes. For this control, operators can use computer systems to execute actions and conduct procedures. Automation of procedures can improve performance and safety, while reducing workload. Identifying...

Shape based classification of seismic building structural types

The seismic building structural type (SBST) reflects the main load-bearing structure of a building and therefore its behaviour under seismic load. For numerous areas in earthquake prone regions this information is outdated, unavailable, or simply not existent. Traditional methods to gather this information, such as building-by-building...

Intra-operative estimation of surgical progress

Driven by rising health care costs due to factors including advancing technology and an aging population, cost-effectiveness has become an increasingly important aspect of care delivery, with the operating room (OR) being a specific area of interest. By means of a surgical process model (SPM), OR systems can gain an understanding of clinical...

Design of a Partial Discharge Test Platform

Design of a Partial Discharge Test Platform author: Daniel Harmsen thesis advisor (mentor): Dr. Armando Rodrigo Mor abstract: Partial discharge (PD) measurements are an effective tool for insulation diagnostics and assessment. Therefore, a good understanding of these PD measurements is an essential part of an electrical engineer’s background...

Micro-Activity Recognition using Wearables for Human Augmentation

Wearable devices have paved way for several context-aware applications in the field of health-care and sports to improve the well-being of users and their performance for human augmentation. During rehabilitation patients need accurate feedback that can empower and improve the speed of recovery. On the other hand competitive athletes need a...

Real-time estimation of surgical procedure duration

Each surgical procedure varies in length. There’s a need for dynamic planning to have an optimal patient flow from their beds to the operating room. This paper proposes an adaptive system that predicts the end of a gallbladder removal surgery 25 minutes in advance with the use of Support Vector Machines based on the activations of the...

Using the Multiple Instance Learning framework to address differential regulation

Cell differentiation is a natural process occurring in all higher organisms, since the early fetal stage of life. It is, also, a part of disease – such as cancer – as the cell cycle becomes deregulated and cells behave differently compared to healthy ones. Differentiation occurs although the genome of all cells is identical across all cell types...

Automatic classification of segmented seismic recordings at the Nevado del Ruiz volcano, Columbia

The Nevado del Ruiz volcano is an active and dangerous volcano in the Andean volcanic belt. Measuring seismic activity is one of the most reliable and widely used techniques to monitor and predict renewed volcanic activity. Seismic activity can be caused by several different underlying physical processes. It is of interest to the earth-science...

Database guided detection of anatomical landmark points in 3D images of the heart

Automated landmark detection may prove important for the examination and automatic analysis of real-time three-dimensional (3D) echocardiograms. By detecting 3D anatomical landmark points, the standard anatomical views can be extracted automatically in 3D ultrasound images of left ventricle, for better standardization and objective diagnosis....