TQM-ing OMB: Or Why Regulatory Review Under Executive Order 12,291 Works Poorly and What President Clinton Should Do About It

Reflections are presented on how Pres Clinton should improve the deeply troubled relationship between the OMB and other government agencies. No president would dream of abolishing review of agency actions by the OMB

A method to compute Segre classes of subschemes of projective space

We present a method to compute the degrees of the Segre classes of a subscheme of complex projective space. The method is based on generic residuation and intersection theory. It has been implemented using the software system Macaulay2.Comment: 13 page

The bottleneck degree of algebraic varieties

A bottleneck of a smooth algebraic variety $X \subset \mathbb{C}^n$ is a pair of distinct points $(x,y) \in X$ such that the Euclidean normal spaces at $x$ and $y$ contain the line spanned by $x$ and $y$. The narrowness of bottlenecks is a fundamental complexity measure in the algebraic geometry of data. In this paper we study the number of bottlenecks of affine and projective varieties, which we call the bottleneck degree. The bottleneck degree is a measure of the complexity of computing all bottlenecks of an algebraic variety, using for example numerical homotopy methods. We show that the bottleneck degree is a function of classical invariants such as Chern classes and polar classes. We give the formula explicitly in low dimension and provide an algorithm to compute it in the general case.Comment: Major revision. New introduction. Added some new illustrative lemmas and figures. Added pseudocode for the algorithm to compute bottleneck degree. Fixed some typo

A Home Automation Prototype

This master thesis concerns the current and future development in the area of intelligent houses and home automation. It also describes a system for home automation developed for this thesis. Key words in the design are dynamic behaviour, flexibility, transparency and adaptability. The prototype has been built with a central, Java based, server. To this server, modules handling different communication protocols can be connected at run time. To these modules, devices can connect over the specified communications protocols and register in the server, also at run time. Devices can be for control and supervision (computer or phone GUI), but also equipment that is to be controlled (lamps, ventilation, stereo) and equipment for notification (sensors). For communication, a message system has been developed. The server uses a MySQL database and also has support for building macros with extensive command and timer functionality. Finally, the system supports users and positioning using RFID

What is the best data augmentation for 3D brain tumor segmentation?

Training segmentation networks requires large annotated datasets, which in medical imaging can be hard to obtain. Despite this fact, data augmentation has in our opinion not been fully explored for brain tumor segmentation. In this project we apply different types of data augmentation (flipping, rotation, scaling, brightness adjustment, elastic deformation) when training a standard 3D U-Net, and demonstrate that augmentation significantly improves the network's performance in many cases. Our conclusion is that brightness augmentation and elastic deformation work best, and that combinations of different augmentation techniques do not provide further improvement compared to only using one augmentation technique. Our code is available at https://github.com/mdciri/3D-augmentation-techniques