Plagiarism and fraud by students have increased considerably in the past decade. Information technology plays an important role here, because it provides techniques that make it possible to copy text, images and other materials almost effortlessly. Educational institutions are aware of this, and try to halt it. The problem of monitoring and dealing with fraud and plagiarism is a matter of perception in two respects: 1. it is often difficult to identify fraudulent student papers because of the large scale and intelligent techniques for cheating, and 2. students who are blamed of plagiarism often claim a different perception or qualification of their acts. Information technology can play a role in identifying plagiarism and fraud. There are a number of computer programs in existence that will check large numbers of documents to do exactly that. Conventional measures as well as effective anti-fraud policies remain necessary as students often do not perceive their actions as illegal or unethical, or use their own “perception” as an excuse.

This paper describes a method to reduce the space of stored indicator time series data collected from a telecommunications network. The method takes advantage of the cyclic nature of the collected time series and behavioral clusters of the network elements. The method separates the shape of the daily activity cycle of a network element from volume of the traffic and clusters the daily patterns to coherent groups in which each sample can be presented with the amount of traffic in the network element and a prototype pattern. Dynamic thresholds are used to determine the samples that deviate from the prototype too much and require being stored separately.

In this paper a simulation tool for ferrofluidic transducers is presented. The aim of the tool developed is twofold: to provide the designer with a useful tool which carries out both the behavioral analysis and the quantitative analysis of ferrofluidic devices and to support educational activity on the subject in advanced academicals courses.

In the context of intelligent instrument network, i.e. intelligent sensors and actuators, the user or the designer has to manipulate variable network functions. Service model allows the designer to formalize and manipulate information access. Service model also permits to, check, control and react from instrument data and this approach is web-enable. Producer-Consumer pattern facilitates design and intelligent instrument networking. The connection between producer and consumer can be checked (i.e. type of data) and filtered (condition of sending). We propose to extend the producerconsumer approach using service model for variable subscription service where conditions of subscription constraint could be expressed. We consider interval confidence model of data and several consumers to produce the event or data to be subscribed. A prototype is presented to illustrate and validate the approach on the OSGi platform.

The aim of this paper is to present a methodology to the modelling of measurement processes for uncertainty estimation. According to the “Procedure for the Uncertainty Management” (PUMA) described in the supplement of ISO 14253-1 an iterative course of action is derived. In this connection the efficiency of modelling is considered additionally. The trail version of the novel application software “Model Assistant”, developed within the cooperative research project MST-UNCERT, is used for graphical modelling. A practical stepwise procedure for efficiency modelling has been derived and exemplary applied from this concept.