The digitisation of museum collections provides great opportunities for broad communication and access. However, currently the majority of online ‘virtual’ museums present information two-dimensionally. Three-dimensional data capture using laser scanning provides the potential to generate 3D virtual objects that can be used for a much greater interactive experience. This paper presents the resu...

Specialization and its Application to Program Parallelization Germán Puebla and Manuel Hermenegildo {german,herme}@fi.upm.es Department of Computer Science Technical University of Madrid (UPM) Abstract. Program specialization optimizes programs for known valúes of the input. It is often the case that the set of possible input valúes is unknown, or this set is infinite. However, a form of specia...

This paper focuses on the user experience (UX) of a simultaneous interpretation system for face-to-face conversation between two users. To assess the UX of the system, we first made a transcript of the speech of users recorded during a task-based evaluation experiment and then analyzed user speech from the viewpoint of UX. In a task-based evaluation experiment, 44 tasks out of 45 tasks were sol...

Automatic Electroencephalography (EEG) interpretation system had been developed as an important tool for the inspection of brain diseases. In this study, an automatic reference selection technique was developed to obtain the appropriate derivation for EEG components interpretation. The cross spectrum of bipolar EEG was adopted to detect the phase reversal among the EEG channels covering the sca...

The automatic interpretation of noun-noun compounds is an important subproblem within many natural language processing applications and is an area of increasing interest. The problem is difficult, with disagreement regarding the number and nature of the relations, low inter-annotator agreement, and limited annotated data. In this paper, we present a novel taxonomy of relations that integrates p...

breast cancer continues to be a significant public health problem in the world. early detection is the key for improving breast cancer prognosis. in this way, magnetic resonance imaging (mri) is emerging as a powerful tool for the detection of breast cancer. breast mri presently has two major challenges. first, its specificity is relatively poor, and it detects many false positives (fps). secon...

The automatic interpretation of aerial and satellite images is one of the main important research topics in photogrammetry and image analysis. The aim of the interpretation is the recognition or verification of objects in images. The quality of the interpretation results depends among other factors on the information content of the input data. The more information in the input data the easier i...

We present a novel method to enhance seismic data for manual and automatic interpretation. We use a genetic algorithm to optimize a kernel that, when convolved with the seismic image, appears to enhance the internal characteristics of salt bodies and the sub-salt stratigraphy. The performance of the genetic algorithm was validated by the use of test images prior to its application on the seismi...

statistical process control (spc) charts play a major role in quality control systems, and their correct interpretation leads to discovering probable irregularities and errors of the production system. in this regard, various artificial neural networks have been developed to identify mainly singular patterns of spc charts, while having drawbacks in handling multiple concurrent patterns. in this...

Formation micro imager (FMI) can directly reflect changes of wall stratums and rock structures. Conventionally, FMI images mainly are analyzed with manual processing, which is extremely inefficient and incurs a heavy workload for experts. Iranian reservoirs are mainly carbonate reservoirs, in which the fractures have an important effect on permeability and petroleum production. In this paper, a...