multi purpose drive train road test simulation system

Multi Purpose Drive Train Road Test Simulation System

Multi-purpose ECG telemetry system

BACKGROUND The Electrocardiogram ECG is one of the most important non-invasive tools for cardiac diseases diagnosis. Taking advantage of the developed telecommunication infrastructure, several approaches that address the development of telemetry cardiac devices were introduced recently. Telemetry ECG devices allow easy and fast ECG monitoring of patients with suspected cardiac issues. Choosing ...

General Purpose Road Traffic Simulation System with a Cell Automaton Model

In order to simulate congestion of road traffic system, it is indispensable to describe vehicles having their own decision-making capabilities, and to have detailed and exact road condition data on the road system. The road system is composed of such roads as streets, avenues and highways, and their intersections. In this study, we represent it by a network in which roads are arcs and intersect...

A Road to a Formally Verified General-Purpose Operating System

Methods of formal description and verification represent a viable way for achieving fundamentally bug-free software. However, in reality only a small subset of the existing operating systems were ever formally verified, despite the fact that an operating system is a critical part of almost any other software system. This paper points out several key design choices which should make the formal v...

VarietyCash: A Multi-Purpose Electronic Payment System

VarietyCash is a new electronic money system which strikes a balance between functionality, security, and user privacy. The system can encompass both network and stored-value card based payment mechanisms, with transferability between them, hence the name.

SMILES: A Multi-purpose Learning System

A machine learning system is useful for extracting models from data that can be used for many applications such as data analysis , decision support or data mining. SMILES is a machine learning system that integrates many diierent features from other machine learning techniques and paradigms, and more importantly, it presents several innovations in almost all of these features, such as ensemble ...