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20th International Conference on Enterprise information systems, ICEIS 2018

作者： Sebei, Hiba Hadj Taib, Mohamed Ali Ben Aouicha, Mohamed Multimedia InfoRmation Systems and Advanced Computing Laboratory Sfax Tunisia

ISBN: (纸本)9783030261689

Social network websites are mainly constructed around the notion of user identities, as set up on the bases of their profiles, and online generated contents such as texts, videos, photos. Still, while some profiles gain an important position in the network, others do not. Similarly, some online generated contents appear to gain a great deal of attention from the part of users, whereas others are completely ignored. In this context, the notion of profile and online content related popularity has come to the forefront. Additionally, several studies turn out to be focused on the area of popularity associated analysis and prediction. Noteworthy, however, is that the popularity evaluative metrics prove to vary from a social network to another. In this respect, the present work is conceived to deal with such challenges through an advanced proposal whereby a unified presentation of popularity metrics related to each social entity, across several social networks, is put forward. Accordingly, a hierarchical structure of popularity metrics, as enhanced with a particular RDF presentation, is suggested, along with a brief summary of wide range of methods used to analyze such entities related popularities. © 2019, Springer Nature Switzerland AG.

关键词： Social networking (online)

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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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Handling uncertainty in semantic information retrieval process 9

Handling uncertainty in semantic information retrieval proce...

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9th International Workshop on Uncertainty Reasoning for the Semantic Web, URSW 2013 - Co-located with the 12th International Semantic Web Conference, ISWC 2013

作者： Mounira, Chkiwa Anis, Jedidi Gargouri, Faiez Multimedia InfoRmation Systems and Advanced Computing Laboratory Sfax University Tunisia

This position paper proposes a collaboration method between Semantic Web and Fuzzy Logic aiming to handle uncertainty in the information retrieval process in order to cover more relevant items in result of search process. The collaboration method employs OWL ontology in query enhancement, RDF in annotation process and fuzzy rules in ranking enhancement.

关键词： information retrieval

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AViTExt: Automatic video text extraction

AViTExt: Automatic video text extraction

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2008 3rd International Conference on information and Communication Technologies: From Theory to Applications, ICTTA

作者： Bouaziz, Baseem Zlitni, Tarek Mahdi, Walid MIRACL: Multimedia Information systems and Advanced Computing Laboratory Sfax Tunisia

ISBN: (纸本)1424417511

In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps: potential text region detection and a filtering process. In the first step we divide dynamically each pair of consecutive video frames into sub block in order to detect change. A significant difference between homologous blocks implies the appearance of an important object which may be a text region. The temporal redundancy is then used to filter these regions and forms an effective text region. The experimentation driven on a variety of video sequences shows the effectiveness of our approach by obtaining a 89,39% as precision rate and 90,19 as recall.

关键词： Indexing (of information)

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A two-leveled semantic web service description of the pervasive information system

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10th International Conference on Mobile Web information systems, MobiWIS 2013

作者： Fatma, Achour Anis, Jedidi Faiez, Gargouri Multimedia Information Systems and Advanced Computing Laboratory Sfax University Tunisia

ISBN: (纸本)9783642402753

To begin with, the semantic web service adaptation is based on the addition of contextual information to this web service description. So the technique of adapting the web service allows the user to establish reusable, interoperable, flexible and context-aware applications. The basic feature of the pervasive applications is the context-awareness. What is more, the pervasive systems are based on the NNN paradigm (aNywhere, aNytime, with aNything). Therefore, these systems must be used in different contexts depending on the user environment, his profile and the used terminal. Indeed, this type of system is dynamically adapted. Furthermore, we seek to offer a dynamic description of the web services. This objective, however, can be achieved by adding contextual information structures to the web service description. In the literature, more research works strive to combine the contextual description with the web service description by using the OWL-S structure. In fact, the main objective of this paper is to propose structures with two levels for the contextual description of the pervasive system. The first level is used to select the adapted web service to respond to the users needs, while the second level is aimed to offer the user the adapted description to respond to these needs. © 2013 Springer-Verlag.

关键词： Web services

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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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Novelty detection in data stream clustering using the artificial immune system 13

Novelty detection in data stream clustering using the artifi...

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13th European, Mediterranean and Middle Eastern Conference on information systems, EMCIS 2016

作者： Abid, Amai Jamoussi, Salma Multimedia Information systems and Advanced Computing Laboratory MIRACL Sfax University Tunisia

ISBN: (纸本)9789606897092

Data stream clustering poses many challenges to the data mining community where traditional data mining techniques become infeasible to mine such continuous flow of data. This paper presents a novel method for data stream clustering. In particular, we address the problem of novelty detection in data streams. For this purpose, the proposed method uses the Artificial Immune System meta-heuristic. The latter has been widely used for unsupervised data mining tasks and it owns the property of adaptability required by data stream clustering algorithms. Our method, called AIS-Clus (Artificial Immune System for data stream Clustering), is able to detect novel concepts using the performance of the learning process of AIS meta-heuristic. Furthermore, AIS-Clus has the ability to adapt its model to handle novel arriving items in textual data streams. Experimental results are given for two textual datasets and promising results are obtained. © Proceedings of the 13th European, Mediterranean and Middle Eastern Conference on information systems, EMCIS 2016. All rights reserved.

关键词： Clustering algorithms

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I/O processing in a virtualized platform: A simulation-driven approach 07

I/O processing in a virtualized platform: A simulation-drive...

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VEE'07: 3rd International Conference on Virtual Execution Environments

作者： Chadha, Vineet Illiikkal, Ramesh Iyer, Ravi Moses, Jaideep Newell, Donald Figueiredo, Renato J. Advanced Computing and Information Systems Laboratory University of Florida Intel Corporation Hillsboro OR

ISBN: (纸本)1595936300

Virtualization provides levels of execution isolation and service partition that are desirable in many usage scenarios, but its associated overheads are a major impediment for wide deployment of virtualized environments. While the virtualization cost depends heavily on workloads, it has been demonstrated that the overhead is much higher with I/O intensive workloads compared to those which are compute-intensive. Unfortunately, the architectural reasons behind the I/O performance overheads are not well understood. Early research in characterizing these penalties has shown that cache misses and TLB related overheads contribute to most of I/O virtualization cost. While most of these evaluations are done using measurements, in this paper we present an execution-driven simulation based analysis methodology with symbol annotation as a means of evaluating the performance of virtualized workloads. This methodology provides detailed information at the architectural level (with a focus on cache and TLB) and allows designers to evaluate potential hardware enhancements to reduce virtualization overhead. We apply this methodology to study the network I/O performance of Xen (as a case study) in a full system simulation environment, using detailed cache and TLB models to profile and characterize software and hardware hotspots. By applying symbol annotation to the instruction flow reported by the execution driven simulator we derive function level call flow information. We follow the anatomy of I/O processing in a virtualized platform for network transmit and receive scenarios and demonstrate the impact of cache scaling and TLB size scaling on performance. Copyright © 2007 ACM.

关键词： Virtual reality

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Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT

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IEEE Internet of Things Journal 2025年

作者： Chen, Jiale Zhuo, Shengda He, Jinchun Qiu, Wangjie Zhang, Qinnan Xiong, Zehui Zheng, Zhiming Tang, Yin Chen, Min Wang, Changdong Huang, Shuqiang Jinan University College of Cyber Security Guangzhou China Beihang University Institute of Artificial Intelligence Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100191 China Zhongguancun Laboratory Beijing China Singapore University of Technology and Design Information Systems Technology and Design 487372 Singapore Jinan University School of Management Guangzhou China South China University of Technology School of Computer Science and Engineering Guangzhou China Sun Yat-sen University School of Computer Guangzhou China Jinan University College of Cyber Security of Jinan University China Guangdong Key Laboratory of Data Security and Privacy Preserving Guangzhou China

The Internet of Things (IoT) collects large volumes of diverse data, with graph data as a critical component, and extensively utilizes Federated Graph Learning (FGL) to process this data while preserving data security. However, the graph data collected by different IoT institutions are relatively independent due to various factors (e.g., data collection methods, geographical locations), and data access is restricted to local environments due to privacy constraints, IoT institutions typically possess heterogeneous feature spaces. Aggregating under these conditions could potentially contaminate local graph representations. Unfortunately, most existing FGL methods tend to overlook this issue. To address this challenge, we propose Federated Graph Learning via Constructing and Sharing Features (FedCSF), a novel FGL framework designed to build a globally consistent feature space and share it among IoT institutions. To construct and extract the feature space, we employ an uniform feature initialization across IoT institutions and design an encoder to extract both global and local feature relationships, thereby facilitating effective collaboration across data from different IoT institutions. Furthermore, we introduce an independent adaptive aggregation strategy to eliminate the integration of harmful knowledge, ensuring that the contributions from each IoT institution are effectively integrated into the global model. We theoretically analyze the convergence of FedCSF. To validate the effectiveness of FedCSF, we conducted extensive experiments under various settings (i.e., cross-datasets, and cross-domains), demonstrating its significant advantages of FedCSF in terms of performance, convergence speed, and practical adaptability © 2014 IEEE.

关键词： Federated learning

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