Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

This project aims to produce a graphical user interface (GUI) for MATLAB programs written byJ.S.Marsland as part of his research into the excess noise factor in avalanche photodiodes (APDs). TheGUI will be produced using the GUIDE package supplied with the MATLAB software combined withthe MATLAB programs. The GUI will then be used to compare this research work with the researchwork of others e.g. the Monte Carlo calculations made by the research group at the FrenchAerospace Laboratory (ONERA). Comparison with other research work will require the digitization ofsome graphs published in academic journals.

Improved Training of CAE-Based Defect Detectors Using Structural Noise

Appearances of products are important to companies as they reflect the quality of their manufacture to customers. Nowadays, visual inspection is conducted by human inspectors. This research attempts to automate this process using Convolutional AutoEncoders (CAE). Our models were trained using images of non-defective parts. Previous research on autoencoders has reported that the accuracy of image regeneration can be improved by adding noise to the training dataset, but no extensive analyse of the noise factor has been done. Therefore, our method compares the effects of two different noise patterns on the models efficiency: Gaussian noise and noise made of a known structure. The test datasets were comprised of “defective” parts. Over the experiments, it has mostly been observed that the precision of the CAE sharpened when using noisy data during the training phases. The best results were obtained with structural noise, made of defined shapes randomly corrupting training data. Furthermore, the models were able to process test data that had slightly different positions and rotations compared to the ones found in the training dataset. However, shortcomings appeared when “regular” spots (in the training data) and “defective” spots (in the test data) partially, or totally, overlapped.

Noise factor and reception bandwidth in optoacoustical GW antenna

An expression has extracted from the OGRAN project theory, which provides connection between numerical values of noise factor F and achieved displacement resolution and antenna’s threshold signal in metric variations. Noise factor and “reception bandwidth” connects across displacement resolution. There is defined analytical expression and numerical value for design displacement resolution (sensitivity) on the base intention F = 1. It has appeared that the extracted analytical expression for readout resolution does not correspond to applied Pound-Drever-Hall technique and AURIGA circuitry. This requires an improvement in theoretical design. The achieved resolution value 2·10−15 cm/Hz1/2 is matched to the value for metric sensitivity in pulse hmin ≃ 10−18, which is 15 dB higher than the thermal sensitivity limit.

Where is victory most certain? The level of luck-based noise factor in Summer Olympic Games

We describe a statistical approach for the measurement of the newly defined luck-based noise factor in sports. It is defined as the difference between the actual outcome and the expected outcome based on the model predictions. We raise the question whether some sports exhibit a higher level of noise-factor than others, making investments in that sport riskier. Data from 14 individual sports in six Summer Olympic Games between 1996 and 2016 were included in the analysis. Market shares are predicted by the autoregressive linear and zero-inflated beta regression models with exogenous variables, where the higher Normalized Mean Squared Error indicates a higher noise-factor. Modern pentathlon, tennis and cycling showed the highest noise-factors, whereas swimming, table tennis and athletics were the least noisy. Possible reasons are discussed in the paper. Our analysis indicates that countries with suitable resources producing leading elite Olympic athletes are predicted to achieve higher success in sports with a lower noise-factor such as swimming. In contrast, investments in noisy sports, such as e.g., modern pentathlon, are associated with a higher risk.

Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

This project aims to develop a graphical user interface (GUI) for MATLAB programs written by J. S. Marsland as part of his research on the excess noise factor in avalanche photodiodes (APDs). The GUI will be developed using the GUIDE package supplied with MATLAB. The GUI will then be used to compare this research with other works—for example, the Monte Carlo calculations performed by the research group at the French Aerospace Laboratory (ONERA). A comparison with other works will require the digitisation of graphs, some of which have been published in academic journals.

Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

This project aims to develop a graphical user interface(GUI) for MATLAB programs written by J. S. Marsland as part of his research on the excess noise factor in avalanche photodiodes (APDs). The GUI will be developed using the GUIDE package supplied with MATLAB. The GUI will then be used to compare this research with other work —for example, the Monte Carlo calculations performed by the research group at the French Aerospace Laboratory (ONERA). A comparison with other works will require the digitisation of graphs, some of which have been published in academic journals.

Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

This project aims to produce a graphical user interface (GUI) for MATLAB programs written by J.S.Marsland as part of his research into the excess noise factor in avalanche photodiodes (APDs). The GUI will be produced using the GUIDE package supplied with the MATLAB software combined with the MATLAB programs. The GUI will then be used to compare this research work with the research work of others e.g. the Monte Carlo calculations made by the research group at the French Aerospace Laboratory (ONERA). Comparison with other research work will require the digitization of some graphs published in academic journals.

Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

This project aims to produce a graphical user interface (GUI) for MATLAB programs written by J.S.Marsland as part of his research into the excess noise factor in avalanche photodiodes (APDs). The GUI will be produced using the GUIDE package supplied with the MATLAB software combined with the MATLAB programs. The GUI will then be used to compare this research work with the research work of others e.g. the Monte Carlo calculations made by the research group at the French Aerospace Laboratory (ONERA). Comparison with other research work will require the digitization of some graphs published in academic journals.