Imtech Marine (Netherlands)

ABSTRACTBigNeuron is an open community bench-testing platform combining the expertise of neuroscientists and computer scientists toward the goal of setting open standards for accurate and fast automatic neuron reconstruction. The project gathered a diverse set of image volumes across several species representative of the data obtained in most neuroscience laboratories interested in neuron reconstruction. Here we report generated gold standard manual annotations for a selected subset of the available imaging datasets and quantified reconstruction quality for 35 automatic reconstruction algorithms. Together with image quality features, the data were pooled in an interactive web application that allows users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and reconstruction data, and benchmarking of automatic reconstruction algorithms in user-defined data subsets. Our results show that image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. By benchmarking automatic reconstruction algorithms, we observed that diverse algorithms can provide complementary information toward obtaining accurate results and developed a novel algorithm to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms. Finally, to aid users in predicting the most accurate automatic reconstruction results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic reconstructions.

Electromagnetic interference caused by nonlinear loads can significantly affect electronic equipment in a system, especially those that operate on low amplitude control signals. Matrix converters is an example of such nonlinear loads. This paper investigates through measurements, the EMC behavior, radiated and conducted emissions by a matrix converter, compares this performance to conventional converters, and defines mitigation measures employed to improve the EMC performance and reduce any risk of interference. These mitigation measures follows a risk based approach and can thus be designed according to the given electromagnetic environment in question, on board ships.

In many mission-critical systems, such as naval vessels, the power supply system is insulated. An insulated, or unearthed, system has no connection, or via a high impedance, to earth, and often the neutral is not used. An insulated system has drawbacks with respect to electromagnetic compatibility compared to the usual earthed power supply system, mainly due to the limited use of filtering possibilities. This paper provides a qualitative analysis of the advantages and disadvantages of insulated power systems and neutral earthing and the impact on electromagnetic compatibility.