Millimeter-Wave Over-the-Air Signal-to-Interference-plus-Noise-Ratio Measurements Using a MIMO Testbed

In this paper, over-the-air experiments with external and internal interferences were performed using Chalmers millimeter-wave multiple-input-multiple-output testbed MATE. The resulting SINR for both interference experiments are compared and discussed.Comment: 2nd URSI Atlantic Radio Science Meeting (URSI AT-RASC 2018

Does segmentation always improve model performance in credit scoring?

Credit scoring allows for the credit risk assessment of bank customers. A single scoring model (scorecard) can be developed for the entire customer population, e.g. using logistic regression. However, it is often expected that segmentation, i.e. dividing the population into several groups and building separate scorecards for them, will improve the model performance. The most common statistical methods for segmentation are the two-step approaches, where logistic regression follows Classification and Regression Trees (CART) or Chi-squared Automatic Interaction Detection (CHAID) trees etc. In this research, the two-step approaches are applied as well as a new, simultaneous method, in which both segmentation and scorecards are optimised at the same time: Logistic Trees with Unbiased Selection (LOTUS). For reference purposes, a single-scorecard model is used. The above-mentioned methods are applied to the data provided by two of the major UK banks and one of the European credit bureaus. The model performance measures are then compared to examine whether there is improvement due to the segmentation methods used. It is found that segmentation does not always improve model performance in credit scoring: for none of the analysed real-world datasets, the multi-scorecard models perform considerably better than the single-scorecard ones. Moreover, in this application, there is no difference in performance between the two-step and simultaneous approache

No evidence of dioxin cancer threshold.

The U.S. Environmental Protection Agency (EPA) has developed an estimate of the human cancer risk from dioxin, using the standard low-dose linear extrapolation approach. This estimate has been controversial because of concern that it may overestimate the cancer risk. An alternative approach has been published and was presented to the U.S. EPA Science Advisory Board's Dioxin Review Panel in November 2000. That approach suggests that dioxin is a threshold carcinogen and that the threshold is an order of magnitude above the exposure levels of the general population. We have reexamined the threshold analysis and found that the data have been incorrectly weighted by cohort size. In our reanalysis, without the incorrect weighting, the threshold effect disappears

Reduction of a Vehicle Multibody Dynamic Model Using Homotopy Optimization

The original publication is available at: Hall, A., Uchida, T., Loh, F., Schmitke, C., & Mcphee, J. (2013). Reduction of a Vehicle Multibody Dynamic Model Using Homotopy Optimization. Archive of Mechanical Engineering, LX(1). https://doi.org/10.2478/meceng-2013-0002Despite the ever-increasing computational power of modern processors, the reduction of complex multibody dynamic models remains an important topic of investigation, particularly for design optimization, sensitivity analysis, parameter identification, and controller tuning tasks, which can require hundreds or thousands of simulations. In this work, we first develop a high-fidelity model of a production sports utility vehicle in Adams/Car. Single-link equivalent kinematic quarter-car (SLEKQ, pronounced “sleek”) models for the front and rear suspensions are then developed in MapleSim. To avoid the computational complexity associated with introducing bushings or kinematic loops, all suspension linkages are lumped into a single unsprung mass at each corner of the vehicle. The SLEKQ models are designed to replicate the kinematic behaviour of a full suspension model using lookup tables or polynomial functions, which are obtained from the high-fidelity Adams model in this work. The predictive capability of each SLEKQ model relies on the use of appropriate parameters for the nonlinear spring and damper, which include the stiffness and damping contributions of the bushings, and the unsprung mass. Homotopy optimization is used to identify the parameters that minimize the difference between the responses of the Adams and MapleSim models. Finally, the SLEKQ models are assembled to construct a reduced 10-degree-of-freedom model of the full vehicle, the dynamic performance of which is validated against that of the high-fidelity Adams model using four-post heave and pitch tests.The authors gratefully acknowledge the financial support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the NSERC/Toyota/Maplesoft Industrial Research Chair program

The Influence of Temperature on the Dielectric Losses of Epoxy Resin Under Harmonic Distorted Voltages

The insulation of the electrical equipment in medium and high-voltage grids is subjected to significant electrical and thermal stresses. The switching characteristic of the increasing number of power electronic devices in electric grids leads to the distortion of the voltage waveform which causes additional dielectric losses in insulation materials. The consequent dielectric heating and elevated temperatures present a risk of thermal breakdown and generally accelerated ageing. This manuscript presents how temperatures up to the glass transition and severely distorted sinusoidal voltages influence the dielectric losses in epoxy resin samples. The impact of additional dielectric losses is depicted and the risk of thermal runaway is assessed by comparing the distorted voltage stress to a pure sinusoidal oscillation. The ratio between the losses at distorted voltage and sinusoidal voltage declines with increasing temperature, reducing the risk of thermal runaway even at high temperatures and significant voltage distortion. A generalization of the risk assessment is given based on the discussion of the results and simple standardized measurement techniques

Inventory Vascular Plants of the Kahuku Addition, Hawai`i Volcanoes National Park

Reports were scanned in black and white at a resolution of 600 dots per inch and were converted to text using Adobe Paper Capture Plug-in.In 2003, the National Park Service acquired 46,943 ha of Kahuku Ranch, in the Ka’ū district of Hawai`i. This addition to Hawai`i Volcanoes National Park includes a diverse assemblage of vegetation communities. No recent vegetation inventories existed, and since the last vegetation map had been created many vegetation types within the former ranch had undergone changes due to grazing pressure, logging and fire. As a result, little was known about the communities and their floristic composition, and appropriate management practices could not be developed. Surveys conducted between 2004 and 2006 in Kahuku described vegetation communities and located rare, threatened and endangered plants, as well as disruptive alien weeds. Forty-one kilometers of transects and 177 vegetation plots were ground-surveyed, and 6.5 hours of helicopter surveys were conducted. Surveys encountered a total flora of 455 vascular plant species, of which 40% were native. Five endangered, one threatened, one candidate endangered, and seven species of concern were found, as well as 26 locally rare native species. Forty-three disruptive alien plant taxa in and near Kahuku were mapped. Several sites containing high numbers of either rare or invasive plants were identified. Information from this inventory allows managers to identify priority areas of alien plant and ungulate control and rare plant recovery, and serves as a baseline to document future changes in the vegetation. Results from this study will also enable managers to develop a framework for long-term management priorities and strategies in Kahuku.National Park Service Cooperative Agreement CA8012 A00