Despite the proliferation of RFID systems and applications, there is still no easy way to develop, integrate and deploy non‐trivial RFID solutions. Indeed, the latter comprise various middleware modules (e.g., data collection and filtering, generation of business events, integration with enterprise applications), which must be deployed and configured independently. In this paper we introduce AP...

In this exploratory study we propose to analyze, in healthy adult volunteers, the heart electrical (electrocardiogram, ECG) and mechanical (phonocardiogram, PCG) activity during exercise. Heart sounds amplitude, frequency content, and RS2, may be important features in the non-invasive assessment of heart activity, such as for the estimation of cardiac output and blood pressure. Nine healthy vol...

Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images. Relevance Feedback (RF) is an iterative process that uses machine learning techniques and user’s feedback to improve the CBIR systems performance. We pursued to expand previous research in hyperspectral CBIR systems built on dissimilarity functions def...

We describe a system designed for automatic extraction and segmentation of didjeridu and clapsticks from certain styles of traditional Aboriginal Australian music. For didjeridu, we locate the start of notes using a complexdomain note onset detection algorithm, and use the detected onsets as cues for determining the harmonic series of sinusoids belonging to the didjeridu. The harmonic series is...

In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction mo...

This paper proposes a new approach for relevance feedback in content-based image retrieval systems. The proposed approaches combined the classical Rocchio relevance feedback with the Feature Relevance Estimation method. As such, according to the relevance feedback provided by the user, the algorithm performs a simultaneous query modification and a assignment of weights to all the components of ...

Content Analysis of the High School Textbooks in Iran from Information Literacy Perspective E. Ebraahimi Dorcheh M. Cheshmeh Sohraabi, Ph.D. M. R. Neyestaani, Ph.D. To determine the extent to which information literacy is utilized within the 10th grade textbooks across different disciplines, a sample of 19 textbooks from among 96 high school textbooks was selected. The instr...

Due to the increase of users the efficient usage of spectrum plays an important role in digital terrestrial television networks. In digital video broadcasting, local and global content are transmitted by single frequency network and multifrequency network respectively. Multifrequency network support transmission of global content and it consumes large spectrum. Similarly local content are well ...