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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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A metadata-based architectural model for dynamically resilient systems

Proceedings of the ACM Symposium on Applied Computing

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Proceedings of the ACM Symposium on Applied computing 2007年 566-572页

作者： Di Marzo Serugendo, Giovanna Fitzgerald, John Romanovsky, Alexander Guelfi, Nicolas School of Computer Science and Information Systems Birkbeck College London United Kingdom School of Computing Science University of Newcastle NE1 7RU Newcastle upon Tyne United Kingdom Laboratory for Advanced Software Systems University of Luxembourg Luxembourg Luxembourg

ISBN: (纸本)1595934804;9781595934802

Designing open and distributed systems that can dynamically adapt in a predictable way to unexpected events is a challenging issue still not solved. Achieving this objective is a very complex task since it implies reasoning at run-time, explicitly and in a combined way, on a system's functional and non-functional characteristics. This paper proposes a service-oriented architectural model allowing the dynamic enforcement of formally expressed metadata-based resilience policies. It also describes preliminary dynamic resilience experiments acting as proof of concept. Copyright 2007 ACM.

关键词： Metadata

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Bridging the Gap using Contrastive Learning and Semantic Consistency for Unsupervised Neural Machine Translation 5

Bridging the Gap using Contrastive Learning and Semantic Con...

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5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024

作者： Zhang, Chuancai Qu, Dan Du, Liming Yang, Kaiyuan School of Information Systems Engineering University of Information Engineering Zhengzhou China Laboratory for Advanced Computing and Intelligence Engineering Zhengzhou China School of Cyberspace Security Zhengzhou University Zhengzhou China

ISBN: (纸本)9798331528911

In Unsupervised Neural Machine Translation (UNMT) tasks, the lack of extensive parallel corpora makes it challenging for the model to directly optimize the correspondence between the source and target languages. UNMT models primarily rely on learning from monolingual data, making it difficult to fully capture cross-linguistic semantic alignment and consistency during training. Therefore, effectively enhancing semantic alignment between the source and target languages under unsupervised conditions has become a key challenge in the field of UNMT. To address this issue, this study proposes a semantic alignment and consistency enhancement mechanism based on contrastive learning, aiming to improve the model's ability to capture cross-lingual semantic differences by constructing an optimization objective focused on semantic consistency. The method utilizes a pretrained cross-lingual model to generate semantic embeddings for both the source and target languages, then designs a contrastive learning-based loss function that minimizes the semantic distance between correct translations and source sentences while increasing the semantic distance between incorrect translations and source sentences, thereby enhancing the model's performance in semantic consistency. The experiments validate the effectiveness and broad applicability of the semantic consistency optimization method based on contrastive learning, demonstrating great potential and advantages, especially in multilingual tasks of UNMT. The model achieved significant improvements in BLEU scores across various language pairs. © 2024 IEEE.

关键词： Contrastive Learning

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HRPDF: A Software-Based Heterogeneous Redundant Proactive Defense Framework for Programmable Logic Controller

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Journal of Computer Science & Technology 2021年第6期36卷 1307-1324页

作者： Ke Liu Jing-Yi Wang Qiang Wei Zhen-Yong Zhang Jun Sun Rong-Kuan Ma Rui-Long Deng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China College of Computer Science and Technology Guizhou UniversityGuiyang 550025China School of Information Systems Singapore Management UniversitySingapore 689867Singapore

Programmable logic controllers(PLCs)play a critical role in many industrial control systems,yet face increasingly serious cyber *** this paper,we propose a novel PLC-compatible software-based defense mechanism,called Heterogeneous Redundant Proactive Defense Framework(HRPDF).We propose a heterogeneous PLC architecture in HRPDF,including multiple heterogeneous,equivalent,and synchronous runtimes,which can thwart multiple types of attacks against PLC without the need of external *** ensure the availability of PLC,we also design an inter-process communication algorithm that minimizes the overhead of *** implement a prototype system of HRPDF and test it in a real-world PLC and an OpenPLC-based device,*** results show that HRPDF can defend against multiple types of attacks with 10.22%additional CPU and 5.56%additional memory overhead,and about 0.6 ms additional time overhead.

关键词： industrial control system programmable logic controller proactive defense heterogeneous redundant architecture

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CrossViT Wide Residual Squeeze-and-Excitation Network for Alzheimer's disease classification with self attention ProGAN data augmentation

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International Journal of Hybrid Intelligent systems 2021年第3-4期17卷 163-177页

作者： Kadri, Rahma Bouaziz, Bassem Tmar, Mohamed Gargouri, Faiez Multimedia InfoRmation Systems and Advanced Computing Laboratory Miracl University of Sfax Tunisia Sfax Tunisia Faculty of Economics and Management of Sfax Fseg Sfax University of Sfax Tunisia Sfax Tunisia

Efficient and accurate early prediction of Alzheimer's disease (AD) based on the neuroimaging data has attracted interest from many researchers to prevent its progression. Deep learning networks have demonstrated an optimal ability to analyse large-scale multimodal neuroimaging for AD classification. The most widely used architecture of deep learning is the Convolution neural networks (CNN) that have shown great potential in AD detection. However CNN does not capture long range dependencies within the input image and does not ensure a good global feature extraction. Furthermore, increasing the receptive field of CNN by increasing the kernels sizes can cause a feature granularity loss. Another limitation is that CNN lacks a weighing mechanism of image features;the network doesn't focus on the relevant features within the image. Recently,vision transformer have shown an outstanding performance over the CNN and overcomes its main limitations. The vision transformer relies on the self-attention layers. The main drawbacks of this new technique is that it requires a huge amount of training data. In this paper, we combined the main strengths of these two architectures for AD classification. We proposed a new method based on the combination of the Cross ViT and Wide Residual Squeeze-and-Excitation Network. We acquired MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Open Access Series of Imaging Studies (OASIS). We also proposed a new data augmentation based on the self attention progressive generative adversarial neural network to overcome the limitation of the data. Our proposed method achieved 99% classification accuracy and outperforms CNN models. © 2021 - IOS Press. All rights reserved.

关键词： AD classification CNN CrossViT self attention ProGAN wide residual squeeze-and-excitation network

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Multi-objective virtual machine placement in virtualized data center environments

Multi-objective virtual machine placement in virtualized dat...

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2010 IEEE/ACM International Conference on Green computing and Communications, GreenCom 2010, 2010 IEEE/ACM International Conference on Cyber, Physical and Social computing, CPSCom 2010

作者： Xu, Jing Fortes, José A. B. Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769543314

Server consolidation using virtualization technology has become increasingly important for improving data center efficiency. It enables one physical server to host multiple independent virtual machines (VMs), and the transparent movement of workloads from one server to another. Fine-grained virtual machine resource allocation and reallocation are possible in order to meet the performance targets of applications running on virtual machines. On the other hand, these capabilities create demands on system management, especially for large-scale data centers. In this paper, a two-level control system is proposed to manage the mappings of workloads to VMs and VMs to physical resources. The focus is on the VM placement problem which is posed as a multi-objective optimization problem of simultaneously minimizing total resource wastage, power consumption and thermal dissipation costs. An improved genetic algorithm with fuzzy multi-objective evaluation is proposed for efficiently searching the large solution space and conveniently combining possibly conflicting objectives. A simulation-based evaluation using power-consumption and thermal-dissipation models (learned from profiling of a BladeCenter), demonstrates the good performance, scalability and robustness of our proposed approach when compared with four well-known bin-packing algorithms and two single-objective approaches. Our approach can seek and find solutions that exhibit good balance among the conflicting objectives while others cannot. © 2010 IEEE.

关键词： Virtual machine

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CloudBLAST: combining MapReduce and virtualization on distributed resources for bioinformatics applications

CloudBLAST: combining MapReduce and virtualization on distri...

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4th IEEE International Conference on eScience, eScience 2008

作者： Matsunaga, Andréa Tsugawa, Maurício Fortes, José Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769535357

This paper proposes and evaluates an approach to the parallelization, deployment and management of bioinformatics applications that integrates several emerging technologies for distributed computing. The proposed approach uses the MapReduce paradigm to parallelize tools and manage their execution, machine virtualization to encapsulate their execution environments and commonly used data sets into flexibly deployable virtual machines, and network virtualization to connect resources behind firewalls/NATs while preserving the necessary performance and the communication environment. An implementation of this approach is described and used to demonstrate and evaluate the proposed approach. The implementation integrates Hadoop, Virtual Workspaces, and ViNe as the MapReduce, virtual machine and virtual network technologies, respectively, to deploy the commonly used bioinformatics tool NCBI BLAST on a WAN-based test bed consisting of clusters at two distinct locations, the University of Florida and the University of Chicago. This WAN-based implementation, called CloudBLAST, was evaluated against both non-virtualized and LAN-based implementations in order to assess the overheads of machine and network virtualization, which were shown to be insignificant. To compare the proposed approach against an MPI-based solution, CloudBLAST performance was experimentally contrasted against the publicly available mpiBLAST on the same WAN-based test bed. Both versions demonstrated performance gains as the number of available processors increased, with CloudBLAST delivering speedups of 57 against 52.4 of MPI version, when 64 processors on 2 sites were used. The results encourage the use of the proposed approach for the execution of large-scale bioinformatics applications on emerging distributed environments that provide access to computing resources as a service. © 2008 IEEE.

关键词： MapReduce

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Characterizing user-level network virtualization: performance, overheads and limits

Characterizing user-level network virtualization: performanc...

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4th IEEE International Conference on eScience, eScience 2008

作者： Tsugawa, Maurício Fortes, José A. B. Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769535357

Connectivity limitations of the current Internet pose challenges to e-Science infrastructure, as communication between resources is of key importance for the sharing of hardware, software and data across geographically distributed institutions. To overcome such limitations many overlay networks have been developed. Existing solutions report performance that can keep up with slow wide-area links-however the question remains as to how overlay networks perform on new high-speed Internet connections. This paper characterizes the performance of user-level packet processing, which is at the core of most overlay networks implementations. To this end, building blocks of packet processing software are identified and characterized, and performance of IP forwarders developed in C and Java are compared through extensive measurements. Factors that affect the performance of overlay networks and limitations of existing solutions are characterized, providing insights on possible improvements. Experimental results show the following: to achieve maximum throughput, only a few microseconds (2 to 5) can be spent in virtual network processing;processing of small packets can limit TCP throughput;and overlays need to be carefully architected as encapsulation overheads can be substantial. © 2008 IEEE.

关键词： Overlay networks

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Experimentation and evaluation of a generator of adaptable web applications

Experimentation and evaluation of a generator of adaptable w...

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XXVIIIeme Congres INFORSID 2010 - 28th Conference INFORSID 2010

作者： Djemaa, Raoudha Ben Abdallah, Fatma Ben Amous, Ikram Hamadou, Abdelmajid Ben MIRACL Multimedia InfoRmation systems and Advanced Computing Laboratory Route de Tunis Km 10 BP 242 Cité El Ons Sfax 3021 Tunisia

The Web evolves to contents integrating increasingly rich and varied media reached using very diverse accessAA,A device. This environment very heterogeneous requires that multimedia information sent by the server is adapted to the precise conditions of their use. To answer this adaptation, a set of methods, languages and architectures were developed. This article is a contribution in this direction. In this work, we present a generator of the adaptable Web applications (AWA). An experimental study of the generator was undertaken on various devices of access (PC, PDA, mobile telephone.). The results obtained were evaluated by a study of the performances carried out to test the effectiveness of generator (rate of satisfaction of the users, profit in memory capacity, execution time, etc).

关键词： Adaptable web application Adaptation of the media objects Experimentation and evaluation Generator Sensitivity to the context

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User-level virtual network support for sky computing

User-level virtual network support for sky computing

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5th IEEE International Conference on e-Science, e-Science 2009

作者： Tsugawa, Maurício Matsunaga, Andréa Fortes, José Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida PO Box 116200 Gainesville FL 32611-6200 United States

ISBN: (纸本)9780769538778

With the emergence of multiple cloud providers of Infrastructure-as-a- Service, it becomes possible to envision a near-future when high-performance computing users could combine services from different clouds to access huge numbers of resources. However, as more administrative privileges are exposed to end users, providers are required to deploy network security measures that present challenges to the network virtualization technologies that are needed to enable inter-cloud communication. This paper studies these challenges and proposes techniques to enable unmodified applications on resources across distinct clouds. The techniques are implemented in TinyViNe, an extension to ViNe, a virtual networking technology for distributed resources in different administrative domains. The results of evaluating TinyViNe on a WAN-based testbed across three sites are reported for a bioinformatics application (BLAST) and MPI benchmarks. The results confirm that TinyViNe enables cross-cloud computing while having little impact on application performance. TinyViNe also has auto-configuration and "download-and-run" capabilities for easy deployment by users who are not knowledgeable about networking. © 2009 IEEE.

关键词： Virtualization

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