A kinematic game for stroke upper arm motor rehabilitation - a person centred approach

This report describes the possibilities of information and communication technology (ICT) in stroke care, addressing a person-centered care approach. Attention is paid to user involvement, design, videogames, and communication between health care professionals mutually as well as with patients, and how to share performance data with an electronic health record. This is the first step towards a supportive ICT system that facilitates interoperability, making healthcare information and services available to citizen’s across organizational boundaries.Peer Reviewe

Joint Subjective and Objective Data Capture and Analytics for Automotive Applications

In this paper we describe a novel technological framework for capture and analysis of both objective measurement data and subjective user experience data for automotive applications. We also investigate how the framework can be extended to address privacy issues by enforcing a rigorous privacy model called differential privacy. The system under development integrates a telematics system with a smartphone app service architecture and a data-driven analytics framework. The hypothesis is that the framework will improve the opportunities of conducting large scale user trials of automotive functions and services, while improving the quality of collected data. To achieve this, a number of challenges are addressed in the paper, including how to design the subjective data capture mechanisms to be both simple to use yet powerful, how to correlate subjective data with objective measurement data, and how to protect the privacy of users

A Cache Block Reuse Prediction Scheme

We introduce a novel approach to predict whether a block should be allocated in the cache or not upon a miss based on past reuse behavior during its lifetime in the cache. It introduces a new reuse model that makes a single-entry bypass buffer suffice to exploit the spatial locality in non-allocated blocks. It also applies classical two-level branch prediction to the reuse history patterns to predict whether the block should be allocated or not. Our evaluation of the scheme, based on five benchmarks from SPEC'95 and a set of six multimedia and database applications, shows that the prediction accuracy is between 66 and 94% across the applications and can result in a miss rate reduction of between 1 and 32% with an average of 12% (using the ideal implementation). We also consider cost/performance aspects of several implementations of the scheme. We find that with a modest hardware cost—essentially a table of about 300 bytes—miss rate can be cut by up to 14% compared to a cache with an always-allocate strategy

Improvement of energy-efficiency in off-chip caches by selective prefetching

The line size/performance trade-offs in off-chip second-level caches in light of energy-efficiency are revisited. Based on a mix of applications representing server and mobile computer system usage, we show that while the large line sizes (128 bytes) typically used maximize performance, they result in a high power dissipation owing to the limited exploitation of spatial locality. In contrast, small blocks (32 bytes) are found to cut the energy-delay by more than a factor of 2 with only a moderate performance loss of less than 25%. As a remedy, prefetching, if applied selectively, is shown to avoid the performance losses of small blocks, yet keeping power consumption low