An Aspect Oriented approach to implement fault detection in automatic measurement systems is proposed. Faults are handled by means of “aspects”, a specific software unit to better modularize issues transversal to many modules (“crosscutting concerns”). In this way, maintainability and reusability of a measurement software are improved: indeed, once a modification of the fault detection policy occurs, only the related aspects have to be modified. As an experimental case study, this technique has been applied to the fault self-detection of a flexible framework for magnetic measurements, developed at the European Organization for Nuclear Research (CERN).

The goal of this paper is to present a system to calculate uncertainties in measurement. The implementation is completed and the system is now being tested. In order to participate in the testing process, point your web browser to: http://212.51.217.114/ and login using the account GUM or GUMEK with a password of GUM. If you find any errors or have any feedback on the usability of the system, please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it.. If you find any errors, please include any details or supporting information that will allow diagnosis and correction of the error.

A method to analyse HRV (heart rate variability) using an ECG monitoring system is presented. Variations in heart rate may be evaluated by a number of methods. The current methodologies used to analyse HRV are based largely on linear techniques to analyse ‘past’ and ‘present’ electrocardiogram (ECG) data in time and frequency domains. For conventional time domain analysis, the variability in the R-R interval time series derived from an ECG recording is statistically summarised using conveniently calculated measures such as SDNN (standard deviation of time interval between consecutive R peaks) and RMSSD (root-mean square of the difference between two adjacent R-R intervals). Depending on the length of the analysed ECG recording, which may vary from a few minutes to 24 hours, and the choice of the time domain measure, both short-term and long-term HRV can be quantified and characterised.

Many metallic glasses are well known as soft magnetic materials, because of their amorphous structure which presumes the absence of magneto-crystalline anisotropy. It has been shown that amorphous materials are not fully isotropic, but rather have small induced anisotropies because of the cooling strains. The ferromagnetic resonance is an important tool for characterizing the magnetic materials because of the small penetration depth of the microwave radiation used in such experiments. The aim of this paper is to present a new method for magnetic properties study by FMR for as-cast CoFe-based glass covered amorphous wires, employing a vector network analyzer and microwave guide transmission line. The method can be also employed and for other magnetic sample like as thin layers and nanowire arrays.

Seismic stations planned for monitoring of nuclear explosions banned under the Comprehensive Nuclear-Test-Ban Treaty (CTBT) should meet certain special technical requirements, established for the International Monitoring System (IMS) of the Preparatory Commission of the CTBT Organization. For verification of compliance with such stringent requirements extensive testing of the equipment instrumental noise is required. This paper presents the testing and results of seismometers and digitizers used or planned to be used in the IMS network.