The Proteus Architecture proposed a general purpose microprocessor with reconfigurable function units. The ProteanARM represents an ARM-based realisation of this concept. This paper describes the initial details of the ProteanARM architecture and demonstrates some performance benefits gained through the use of custom function units. Our examples show a promising performance increase compared to...

Choices is an object oriented operating system that runs on the x86 and ARM architectures. The aim of this project is to build a hypervisor using Choices on the ARM architecture. In this project we aim to build a hypervisor on the QEMU emulator emulating the ARM7 architecture using a VMX approach. We have selected as guest operating system a small Linux image. The primary goal of the system is ...

We examine the introduction of the voluntary filing program (VFP) by the Securities and Exchange Commission (SEC) for the introduction of XBRL (eXtensible Business Reporting Language), or Interactive Data as called in the US. XBRL is a machine-readable standardized format for financial reports. The VFP allowed firms to file annual and quarterly reports using XBRL. This program represents a quas...

We present a high-speed, high-security implementation of the recently proposed elliptic curve FourQ (ASIACRYPT 2015) for 32-bit ARM processors with NEON support. Exploiting the versatile and compact arithmetic of this curve, we design a vectorized implementation that achieves high-performance across a large variety of ARM platforms. Our software is fully protected against timing and cache attac...

We have developed an innovative passive borehole geophone system, as part of a wireless environmental sensor network to investigate glacier stick-slip motion. The new geophone nodes use an ARM Cortex-M3 processor with a low power design capable of running on battery power while embedded in the ice. Only data from seismic events was stored, held temporarily on a micro-SD card until they were ret...

This paper proposes a method to improve the robustness of a robot arm control program generated by genetic programming. The idea is to evolve the control program with multiple targets in the uncertainty region. The result shows that the robustness of a control program is improved with the number of targets in the training region. The analysis showed that a program trained with more targets woul...

The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its original formulation its parameters are determined by maximum likelihood, which is prone to severe overfitting, including singularities in the likelihood function. Furthermore the maximum likelihood framework offers no n...