Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding o...

We present a paradigmatic example of a feedbackcontrolled system: an electric motor with sensor and controller. Diagnosis of this system is performed based on a qualitative model that reflects deviations of parameters and behavior from a fixed reference state. The hypothesis that has been examined in this case study is that detection of behavior discrepancies does not necessarily require simula...

Fault detection by stochastic qualitative reasoning is an effective way for complex systems such as air conditioning systems. In this framework, the faulty part of a system can be identified by comparing the behavior derived by stochastic qualitative reasoning with the actual measured behavior. The latter is represented as the series of qualitative values that are obtained by classifying quanti...

The quality of information can be degraded when individuals attempt to deceive others through information manipulation. This can be very influential in a text-based domain. In recent years, tools have been developed that, while not initially designed for this domain, have been adapted successfully for use in identifying deception in text-based communication. These text analysis tools, which uti...

The visual rhythm is a simplification of the video content represented by a 2D image. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video effect is transformed into a different pattern on the visual rhythm. To detect sharp video transitions (cuts) we use topological and morphological tools instead of using a dissimilarity measure. Th...

In this report a new concept to generate test vectors for sequential machines is checked. Not one level of abstraction is considered but two levels. The test generation occurs at the functional level, while information is retrieved from the structural level. Four methods for test generation, using structural level information at the functional level were used to check the concept. Test generati...

Th e powerful attraction of foreign direct investment (FDI) is particularly important for further development of tourism. Th e strategically focused attraction of FDI in tourism has a much higher signifi cance because of the multiple eff ects in relation to other segments of the economy. In this context, it is necessary to highlight the investment engagement and the presence of globally branded...

This article provides a comparative legal study of certain salient aspects of the Chinese and Indian Foreign Direct Investment (FDI) regimes, keeping in mind the differences in the constitutions and legal systems of both countries. India is presently perceived by foreign investors as having an uncertain regulatory environment as far as its FDI policy. However, implementation is a concern, thoug...

Two distinct and parallel research communities have been working along the lines of the Model-Based Diagnosis approach: the FDI community and the DX community that have evolved in the fields of Automatic Control and Artificial Intelligence, respectively. This paper clarifies and links the concepts that underlie the FDI analytical redundancy approach and the DX logical approach. The formal match...

N ATIONAL policies towards FDI typically feature measures aimed at both attracting and discouraging inflows. Policies to attract FDI such as tax breaks, favourable regulatory treatment and subsidies of various sorts are usually focused on manufacturing. 1 Policies towards services are far more ambivalent. Laws and regulatory practices frequently discriminate against foreign investors in service...