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8th International Conference on Web information systems and Technologies, WEBIST 2012

作者： Rebaï, Rim Zghal Zayani, Amel Corinne Ammous, Ikram Hamadou, Abdel Majid Ben Institute Multimedia Information Systems and Advanced Computing Laboratory Higher Institute of Computer and Multimedia PO Box 242 Sakiet Ezzit 3021 Sfax Tunisia

ISBN: (纸本)9789898565082

The increased volume of data in digital form has led to a wide variety of syntactic and semantic data. Thus, the user may encounter several problems related to the heterogeneity, distribution and volume of returned information. As a matter of fact, systems are needed to solve part or all of these problems. In this paper we propose and illustrate a distributed architecture that enables personalized access to collections of heterogeneous and distributed semi-structured documents (XML, RDF, SMIL). This architecture is based on an extension on the reference architecture of mediation systems DARPA I3 by adding an adaptation layer, based on the reference architecture for adaptive hypermedia systems AHA!, that takes into account the user's request, his context (profile, device, network, etc.) and data sources context (minimum bandwidth, necessary characteristics of the device to display data, etc.).

关键词： XML

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Thesaurus based semantic representation in language modeling for medical article indexing

Thesaurus based semantic representation in language modeling...

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作者： Majdoubi, Jihen Tmar, Mohamed Gargouri, Faiez Multimedia Information System and Advanced Computing Laboratory Higher Institute of Information Technologie and Multimedia Sfax Tunisia

ISBN: (纸本)9789898425058

Language modeling approach plays an important role in many areas of natural language processing including speech recognition, machine translation, and information retrieval. In this paper, we propose a contribution for conceptual indexing of medical articles by using the MeSH (Medical Subject Headings) thesaurus, then we propose a tool for indexing medical articles called SIMA (System of Indexing Medical Articles) which uses a language model to extract the MeSH descriptors representing the document. To assess the relevance of a document to a MeSH descriptor, we estimate the probability that the MeSH descriptor would have been generated by language model of this document.

关键词： Thesauri

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Automatic detection of Parkinson’s disease from speech using acoustic, prosodic and phonetic features 19th

Automatic detection of Parkinson’s disease from speech usin...

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19th International Conference on Intelligent systems Design and Applications, ISDA 2019

作者： Khaskhoussy, Rania Ayed, Yassine Ben MIRACL: Multimedia InfoRmation System and Advanced Computing Laboratory Sfax University Sfax Tunisia

ISBN: (纸本)9783030493417

Parkinson’s disease (PD) is a neurodegenerative disease ranked second after Alzheimer’s disease. It affects the central nervous system and causes a progressive and irreversible loss of neurons in the dopaminergic system, that insidiously leads to cognitive, emotional and language disorders. But until day there is no specific medication for this disease, the drug treatments that exist are purely symptomatic, that’s what encourages researchers to consider non-drug techniques. Among these techniques, speech processing becomes a relevant and innovative field of investigation and the use of machine-learning algorithms that provide promising results in the distinction between PD and healthy people. Otherwise many other factors such as feature extraction, number of feature, type of features and the classifiers used they all influence on the prediction accuracy evaluation. The aim of this study is to show the importance of this last factor, a model is suggested which include feature extraction from 3 types of features (acoustic, prosodic and phonetic) and classification is achieved using several machine learning classifiers and the results show that the proposed model can be highly recommended for classifying PD in healthy individuals with an accuracy of 99.50% obtained by Support Vector Machine (SVM). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Speech processing

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Decision tree transformation for knowledge warehousing 17

Decision tree transformation for knowledge warehousing

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17th International Conference on Enterprise information systems, ICEIS 2015

作者： Ayadi, Rim Hachaichi, Yasser Alshomrani, Saleh Feki, Jamel Multimedia InfoRmation Systems and Advanced Computing Laboratory Sakiet Ezzit Tunisia University of Sfax Sfax Tunisia Faculty of Computing and IT University of Jeddah Jeddah Saudi Arabia

ISBN: (纸本)9789897580970

Explicit knowledge extracted from data, formalized tacit knowledge from experts or even knowledge existing in business sources may be in several heterogeneous formal representations and structures: as rules, models, functions, etc. However, a knowledge warehouse should solve this structural heterogeneity before storing knowledge. This requires specific tasks of harmonizing. This paper first presents our proposed definition and architecture of a knowledge warehouse, and then presents some languages for knowledge representations as particular the MOT (Modeling with Object Types) language. In addition, we suggest a metamodel for the MOT, and a metamodel for the explicit knowledge obtained using decision trees technique. As we aim to represent knowledge having different modeling formalisms into MOT, as a unified model, then we suggest a set of transformation rules that assure the move from the decision tree source model into the MOT target model. This work is still in progress, it is currently completed with tranformations for additional.

关键词： Data mining

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EEG and fMRI Artifact Detection Techniques: A Survey of Recent Developments

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SN Computer Science 2023年第5期4卷 528页

作者： Mili, Rahma Bouaziz, Bassem Maalel, Ahmed Gargouri, Faiez Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL) Faculty of Economics and Management of Sfax University of Sfax Sfax 3021 Tunisia Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL) Higher Institute of Computer and Multimedia of Sfax Sfax 3021 Tunisia RIADI Laboratory National School of Computer Sciences University of Manouba Manouba 2010 Tunisia Higher Institute of Applied Sciences and Technology University of Sousse Sousse 4003 Tunisia

The evolution of different techniques for exploring cerebral activity and the development of signal processing and analysis methods have enabled a better understanding of the dynamic cerebral mechanisms in favor of fine diagnosis and characterization of certain diseases such as dementia and epilepsy. Integration of functional magnetic resonance imaging (fMRI) with electroencephalography (EEG) has offered the possibility of understanding new insights into neuroscientific studies because of the higher temporal and spatial measurements of brain activity when compared with the use of each technique separately. However, the experimental limitations of fMRI/EEG are mainly the numerous artifacts, mainly due to switching of magnetic field gradients and cardiac activity. To provide a comprehensive overview of this research area, a systematic mapping study has been conducted. This mapping study aims to identify the topics studied within the artifacts’ detection in EEG and fMRI data, as well as examine the adopted research methodologies, identify the gaps in the current research and point to directions for future research. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Artifacts Deep learning EEG fMRI Systematic mapping study

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Arabic named entity recognition process using transducer cascade and Arabic wikipedia 10

Arabic named entity recognition process using transducer cas...

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10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015

作者： Mesmia, Fatma Ben Friburger, Nathalie Haddar, Kais Maurel, Denis University of Sfax Laboratory MIRACL Multimedia InfoRmation Systems and Advanced Computing Laboratory Tunisia University François Rabelais of Tours LI Computer laboratory France

Transducers namely transducer cascades are used in several NLP-applications such as Arabic named entity recognition (ANER). To experiment and evaluate an ANER process, a weight coverage corpus is necessary. In this paper, we propose an ANER method based on transducer cascade. The proposed transducer cascade is generated with the CasSys tool integrated in Unitex linguistic platform. The experimentation of our method is done on a Wikipedia corpus. The Wikipedia text format is obtained with Kiwix tool. The experiment results are satisfactory based on calculated measures.

关键词： Transducers

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On the implications of machine virtualization for DRM and fair use: A case study of a virtual audio device driver

On the implications of machine virtualization for DRM and fa...

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DRM 2004: Proceedings of the Fourth ACM Workshop on Digital Rights Management

作者： Ghodke, Ninad Figueiredo, Renato Advanced Computing and Information Systems Laboratory Department of CISE University of Florida Gainesville FL Advanced Computing and Information Systems Laboratory Department of ECE University of Florida Gainesville FL

ISBN: (纸本)1581139691

This paper examines the architecture of present day systems and shows that they are not trustworthy enough to support certain DRM features/restrictions, even when the DRM delivery system exclusively utilizes signed and protected operating system components. This weakness was discovered while creating a technique for remote transfer of audio streams generated by a Virtual Machine Monitor (VMM), to achieve network transparency for audio devices. The technique is based on the implementation of hosted I/O VMMs that intercept device I/O instructions executed by a "guest" O/S and emulate them through system calls processed by device drivers of a "host" O/S. The design consists of a virtual audio device driver that forwards sound streams to a user-level network server. Because (1) the virtual device intercepts audio data in an unprotected format (WAV), regardless of which application and file format are in use by the guest O/S, (2) modern virtual machine-based systems already achieve performance levels that allow for real-time audio playback, the playback only model of service/restriction imposed by some content delivery businesses is rendered ineffective by this technique. It enables Fair Use of DRM enabled media by allowing the user to make a copy of legally purchased audio media and time-shifting of Internet Radio stations. Experiments have shown that audibly perfect copies of media played by a VM "guest" can be made in PCM/WAV format, even though DRM-enabling features are present in the "guest" O/S drivers and media players. This paper also draws attention to the fact that the VM should be considered while designing the security and DRM capabilities in future general-purpose systems since a device driver in between the VMM and the host O/S has the potential of being an eavesdropper and a malicious end user. Copyright 2004 ACM.

关键词： Audio systems

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Biometric individual identification system based on the ECG signal 19th

Biometric individual identification system based on the ECG ...

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19th International Conference on Intelligent systems Design and Applications, ISDA 2019

作者： Hamza, Sihem Ben Ayed, Yassine Higher Institute of Computer Science and Multimedia ISIMS University of Sfax Sfax Tunisia Multimedia InfoRmation Systems and Advanced Computing Laboratory MIRACL University of Sfax Sfax Tunisia

ISBN: (纸本)9783030493417

Human biometric identification based on the ElectroCardioGram (ECG) is relatively new. This domain is intended to recognize individuals since the ECG has unique characteristics for each individual. These features are robust against forgery. In this study, feature extraction from ECG signals was performed using a combination of three new types of characteristics: MFCC, ZCR, and entropy. We proposed to apply classification methods: K Nearest Neighbors (KNN) and support vector machines (SVM) for human biometric identification. For evaluation we used two bases, namely MIT-BIH arrhythmia and normal sinus rhythm obtained from the Physionet database. For the MIT-BIH database, we used 47 individuals, each recording contains ECG data recorded for 15 s and in the SNR database, we used 18 individuals, the duration of each recording is 10 s. The analysis of the results obtained shows that the combination of all the features proposed makes it possible to improve the efficiency of our identification system to reach a performance rate equal to 100% for the two bases. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Electrocardiograms

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GatorShare: A file system framework for high-throughput data management 10

GatorShare: A file system framework for high-throughput data...

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Proceedings of the 19th ACM International Symposium on High Performance Distributed computing

作者： Xu, Jiangyan Figueiredo, Renato Advanced Computing and Information Systems Laboratory University of Florida United States

ISBN: (纸本)9781605589428

Voluntary computing systems or Desktop Grids (DGs) en- able sharing of commodity computing resources across the globe and have gained tremendous popularity among sci- entific research communities. Data management is one of the major challenges of adopting the Voluntary Comput- ing paradigm for large data-intensive applications. To date, middleware for supporting such applications either lacks an eficient cooperative data distribution scheme or cannot eas- ily accommodate existing data-intensive applications due to the requirement for using middleware-specific APIs. To address this challenge, in this paper we introduce Gator- Share, a data management framework that ofiers a file sys- tem interface and an extensible architecture designed to sup- port multiple data transfer protocols, including BitTorrent, based on which we implement a cooperative data distribu- tion service for DGs. It eases the integration with Desktop Grids and enables high-throughput data management for unmodified data-intensive applications. To improve the per- formance of BitTorrent in Desktop Grids, we have enhanced BitTorrent by making it fully decentralized and capable of supporting partial file downloading in an on-demand fash- ion. To justify this approach we present a quantitative evalua- tion of the framework in terms of data distribution eficiency. Experimental results show that the framework significantly improves the data dissemination performance for unmod- ified data-intensive applications compared to a traditional client/server architecture. Copyright 2010 ACM.

关键词： information management

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A NEURAL-NETWORK-BASED IDENTIFICATION OF ENVIRONMENTS MODELS FOR COMPLAINT CONTROL OF SPACE ROBOTS

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IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION 1993年第5期9卷 685-697页

作者： VENKATARAMAN, ST GULATI, S BARHEN, J TOOMARIAN, N Nonlinear Science & Information Processing Group Robotic Systems & Advanced Computing Section Jet Propulsion Laboratory/California Institute of Technology Pasadena CA USA

Many space robotic systems would be required to operate in uncertain or even unknown environments. In the paper, the problem of identifying such environments for compliance control is considered. In particular, neural networks are used for identifying environments that a robot establishes contact with. Both function approximation and parameter identification (with fixed nonlinear structure and unknown parameters) results are presented. The environment model structure considered is relevant to two space applications: cooperative execution of tasks by robots and astronauts, and sample acquisition during planetary exploration. Compliant motion experiments have been performed with a robotic arm, placed in contact with a single degree-of-freedom electromechanical environment. In the experiments, desired contact forces are computed using a neural network, given a desired motion trajectory. Results of the control experiments performed on robot hardware are described, along with relevant discussions.

关键词： Neural networks Robot control Orbital robotics Force measurement Parameter estimation Space technology Uncertainty Stability Function approximation Computer networks

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