ppxscal/embedding_network huggingface dataset:
Optimized Certificates --- A New Proposal for Efficient Electronic Document Signature Validation
Authors: Ricardo Felipe Custódio, Martín A. Vigil, Juliano Romani, Fernando Carlos Pereira, Joni Silva Fraga
Venue: Proceedings of the 5th European PKI workshop on Public Key Infrastructure: Theory and Practice (2008)

Optimized certification is a new method for efficient certificate path verification and digital signing. The basic idea is to issue special certificates (called optimized certificates) for an electronic document to replace the signer's certificate. Optimized certificates are issued to be only valid for a specific time, i.e., the fields notBefore and notAfter of the certificate are the same. Therefore, certificate revocation are not a requirement as it is no longer necessary to request the status of certificates from a certification authority repository to validate signatures.
Supporting QoS Negotiation with Feature Modeling
Authors: Marcelo Fantinato, Itana Maria S. Gimenes, Maria Beatriz Toledo
Venue: Proceedings of the 5th international conference on Service-Oriented Computing (2007)

Feature modeling is a technique that has been widely used for capturing and managing commonalities and variabilities of product families in the context of software product line. This paper presents a feature-based approach to be applied in QoS negotiation during the establishment of a Web services e-contract. Its motivation is that the e-negotiation process, aiming at defining attributes and levels for QoS --- in a particular business domain, usually involves a set of well-defined common and variation points.
Novel Computerized Methods in System Biology ---Flexible High-Content Image Analysis and Interpretation System for Cell Images
Authors: Petra Perner
Venue: Proceedings of the 3rd international conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (2008)

In the rapidly expanding fields of cellular and molecular biology, fluorescence illumination and observation is becoming one of the techniques of choice to study the localization and dynamics of proteins, organelles, and other cellular compartments, as well as a tracer of intracellular protein trafficking. The automatic analysis of these images and signals in medicine, biotechnology, and chemistry is a challenging and demanding field. Signal-producing procedures by microscopes, spectrometers and other sensors have found their way into wide fields of medicine, biotechnology, industrial and environmental analysis. With this arises the problem of the automatic mass analysis of signal information. Signal-interpreting systems which automatically generate the desired target statements from the signals are therefore of compelling necessity. The continuation of mass analysis on the basis of the classical procedures leads to investments of proportions that are not feasible. New procedures and system architectures are therefore required. We will present, based on our flexible image analysis and interpretation system Cell_Interpret, new intelligent and automatic image analysis and interpretation procedures. We will demonstrate it in the application of the HEp-2 cell pattern analysis.
A Low Complexity Intrusion Detection Algorithm
Authors: Lin Yao, Kai Yao
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

A low complexity clustering algorithm for intrusion detection based on wavecluster is presented. Using the multiresolution property of wavelet transforms, we can effectively identify arbitrarily shaped clusters at different scales and degrees of detail, moreover, applying wavelet transform removes the noise from the original feature space and make more accurate cluster found. Experimental results on KDD-99 intrusion detection dataset show the efficiency and accuracy of this algorithm. A detection rate above 98% and a false alarm rate below 3% are achieved. The time complexity of the wavecluster algorithm is O(N), which is comparatively low than other algorithms.
Handover for Seamless Stream Media in Mobile IPv6 Network
Authors: Yi Liu, Mingxiu Li, Bo Yang, Depei Qian, Weiguo Wu
Venue: Proceedings of the 5th international conference on Wired/Wireless Internet Communications (2007)

In mobile IPv6 network, the handoff latency for mobile node challenges service quality of real-time stream media applications. This paper proposes an improved handover scheme for stream media applications, which switch data-stream to foreign network link predictively by session-level handover between mobile and correspondent node. And to reduce the duration of dual-stream transmission in network, a time-compensation mechanism is used. The scheme works at session-level independently, and requires no modification to current standards and protocols. Simulation results show that the scheme effectively improves the handoff latency and packet-losses for stream media applications.
Feature Extraction for Forest Inventory
Authors: Zuyuan Wang, Ruedi Boesch, Christian Ginzler
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04 (2008)

In this paper we incorporate different kinds of features, namely GVI, Gabor texture from high resolution aerial images and curvature feature from LIDAR for forest delineation in Swiss national forest inventory. The GVI is helpful for non vegetation areas removing while the curvature feature is useful for buildings removing in urban area. The texture feature constructed by Gabor wavelet successfully distinguishes forest from other landscape types. Experimental results show that the proposed method provides an automatic forest boundary delineation method in a semantic way.
Accessibility for Blind Users: An Innovative Framework
Authors: Elisa Rubegni, Paolo Paolini, Alberto Terragni, Stefano Vaghi
Venue: Proceedings of the 11th international conference on Computers Helping People with Special Needs (2008)

Accessibility, i.e. the possibility for users with specific disabilities to access Web resources, has received specific attention by the W3C consortium that has produced guidelines for web developers. These guidelines are, mostly, technical recommendations and a few very generic tips about how to design for accessibility. The main thesis of this paper, which focuses on blind users, is that technical recommendations (as those of the W3C) are not sufficient to guarantee actual accessibility, that we define as the possibility for the users of "reading" the website and "navigating through it" in an effective manner. A consequence of our approach is the emphasis on design, as a way to achieve actual accessibility, and on usability (by blind users,) as the main evaluation criterion. The paper presents a framework, "AURA", which encompasses issues from design, to architecture, and proposes a solution for blind users based on reading strategies, i.e. a planned way of "listening to" web pages.
The Hyperdatabase Project --- From the Vision to Realizations
Authors: Hans-Jörg Schek, Heiko Schuldt
Venue: Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge (2008)

In the future we expect an ever increasing number of data sources, reaching from traditional databases and large document and multimedia collections and information sources from the web, down to embedded information sources in mobile "smart" objects as they occur in a pervasive computing environment. Therefore not only the immense amount of information demands new thoughts but also the number of different information sources and their coordination poses a great challenge for the development of an appropriate information infrastructure. This was the starting point for the creation of the hyperdatabase project at ETH Zurich, almost 10 years ago. In view of this continuous, almost infinite "information space" that is distributed, heterogeneous, and changes continuously, the challenges for a new infrastructure for the information space were the following: First, it should provide convenient tools for accessing information via sophisticated search facilities and for combining or integrating search results from different sources. Second, the new infrastructure should facilitate distributed application development for analyzing and processing information. Third, transactional (workflow) processes should ensure consistent propagation of information changes and simultaneous invocations of several (web) services and data stream operations. Finally, the implementation of such an infrastructure should provide functions for recoverability, scalability, and availability by avoiding central global components and by self-configuration and adaptation features. In this paper we will elaborate some of the aspects in these areas and report on our hyperdatabase research and experiences with realizations in several projects such as ETHWorld. OSIRIS, PowerDB, and Digital Libraries started at ETH and are continued at the University of Basel.
Enabling the Reuse of Platform-Dependent Agents in Heterogeneous Agent-Based Applications
Authors: Giancarlo Fortino, Alfredo Garro, Wilma Russo
Venue: Languages, Methodologies and Development Tools for Multi-Agent Systems: First International Workshop, LADS 2007, Durham, UK, September 4-6, 2007. Revised Selected Papers (2008)

There is an increasing interest in the development of applications which involve agents operating on (mobile) agent-based platforms of different types (heterogeneous agent-based applications). In this context, a relevant and emerging issue concerns the possibility of integrating platform dependent agents (i.e. agents which were specifically developed for a particular agent platform) in these applications. This issue becomes particularly important in the development of inter-organization agent-based applications where different organizations, which usually adopt different agent platforms and related applications for offering their services, may attempt to join to constitute a new (virtual) organization or, simply, to jointly offer new services to users. This paper presents a solution for enabling the reuse of platform-dependent agents in heterogeneous agent-based applications. The proposed solution is a natural enhancement of JIMAF and makes it the only full-fledged interoperability approach which, without requiring any modification to the platforms made interoperable, fully addresses the main interoperability issues of migration, execution, and communication among heterogeneous mobile agent platforms and also provides platform-dependent agent-based code reuse.
Electronic government and the French state: A negotiated and gradual reform
Authors: David Acaud, Amar Lakel
Venue: Information Polity (2003)

In France, electronic administration has become an emblem of State and Civil service modernization. For a better understanding of the way in which Information Technology (IT) has gradually become part of the somewhat traditional effort at French State modernization, this paper will analyse the processes involved in the construction of a complete and coherent project. The in-depth study of public reports and interviews carried out with main actors involved in the reform shows the hazards of the process. Revealing the ways and means in which IT has an influence on modernization enhances understanding of the nature of the changes sought. This paper provides an opportunity to take into account the players' viewpoints, starting with unresolved issues and the tensions resulting from the reforms. The final part of the paper focuses on the so-called Bercy reforms.
On-Demand Enterprise Services: Where's the Catch?
Authors: Hakan Erdogmus
Venue: IEEE Software (2007)

Enterprise software is plainly problematic, no matter whose perspective you take—that of the vendor selling it, the organization acquiring and operating it, or the people using it. Although software as a service promises to address some of the ills afflicting product-based enterprise software, caveats remain,
The Verisoft Approach to Systems Verification
Authors: Eyad Alkassar, Mark A. Hillebrand, Dirk Leinenbach, Norbert W. Schirmer, Artem Starostin
Venue: Proceedings of the 2nd international conference on Verified Software: Theories, Tools, Experiments (2008)

The Verisoft project aims at the pervasive formal verification from the application layer over the system level software, comprising a microkernel and a compiler, down to the hardware. The different layers of the system give rise to various abstraction levels to conduct the reasoning steps efficiently. The lower the abstraction level the more details and invariants are necessary to ensure overall system correctness. Illustrated by a page-fault handler we discuss the layers and the trade-off between efficiency of reasoning at a more abstract layer versus the development of meta-theory to transfer the verification results between the layers.
The Mixture of Neural Networks as Ensemble Combiner
Authors: Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
Venue: Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition (2008)

In this paper we propose two new ensemble combiners based on the Mixture of Neural Networks model. In our experiments, we have applied two different network architectures on the methods based on the Mixture of Neural Networks: the Basic Network (BN) and the Multilayer Feedforward Network (MF). Moreover, we have used ensembles of MF networks previously trained with Simple Ensemble to test the performance of the combiners we propose. Finally, we compare the mixture combiners proposed with three different mixture models and other traditional combiners. The results show that the mixture combiners proposed are the best way to build Multi-net systems among the methods studied in the paper in general.
Towards Anomaly Detection in One-Way Delay Measurements for 3G Mobile Networks: A Preliminary Study
Authors: Peter Romirer-Maierhofer, Fabio Ricciato
Venue: Proceedings of the 8th IEEE international workshop on IP Operations and Management (2008)

In this paper we investigate the dynamics of one-way delays in an operational mobile core network. Our ultimate motivation is to develop anomaly detection schemes for the packet delay process in order to reveal network and equipment problems. This requires an online measurement system capable of collecting and processing delay statistics in real-time. We present an experimental deployment of such a measurement system in an operational General Packet Radio System (GPRS)/Universal Mobile Telecommunications System (UMTS) network and elaborate on some practical implementation issues. We present some measurement results for the Serving GPRS Support Nodes (SGSN) of UMTS and GPRS. We find that the delay at a UMTS-SGSN is moderately influenced by user mobility, while flow control and user mobility are considerably impacting the delay process at a GPRS-SGSN. We show that simple summary indicators can be extracted from the delay statistics, as a combination of percentiles and threshold-crossing probabilities. Such indicators can be used for the purpose of detecting abnormal delay deviations, pointing to problems in the network equipments.
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
Authors: Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou
Venue: Informatica (2006)

The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the SA, the ICM provides reasonable segmentation and shows robust behavior in most of the cases. However, the ICM strongly depends on the initialization phase. In this paper, we combine Bak-Sneppen model and Markov Random Fields to define a new image segmentation approach. We introduce a multiresolution technique in order to speed up the segmentation process and to improve the restoration process. Image pixels are viewed as lattice species of Bak-Sneppen model. The a-posteriori probability corresponds to a local fitness. At each cycle, some objectionable species are chosen for a random change in their fitness values. Furthermore, the change in the fitness of each species engenders fitness changes for its neighboring species. After a certain number of iteration, the system converges to a Maximum A Posteriori estimate. In this multireolution approach, we use a wavelet transform to reduce the size of the system.
Blogosphere: research issues, tools, and applications
Authors: Nitin Agarwal, Huan Liu
Venue: ACM SIGKDD Explorations Newsletter (2008)

Weblogs, or Blogs, have facilitated people to express their thoughts, voice their opinions, and share their experiences and ideas. Individuals experience a sense of community, a feeling of belonging, a bonding that members matter to one another and their niche needs will be met through online interactions. Its open standards and low barrier to publication have transformed information consumers to producers. This has created a plethora of open-source intelligence, or "collective wisdom" that acts as the storehouse of over-whelming amounts of knowledge about the members, their environment and the symbiosis between them. Nonetheless, vast amounts of this knowledge still remain to be discovered and exploited in its suitable way. In this paper, we introduce various state-of-the-art research issues, review some key elements of research such as tools and methodologies in Blogosphere, and present a case study of identifying the influential bloggers in a community to exemplify the integration of some major aspects discussed in this paper. Towards the end, we also compare and contrast the blogosphere and social networks and the research therein.
IPC-Based Cache Partitioning: An IPC-Oriented Dynamic Shared Cache Partitioning Mechanism
Authors: Guang Suo, Xuejun Yang, Guanghui Liu, Junjie Wu, Kun Zeng, Baida Zhang, Yisong Lin
Venue: Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (2008)

In a chip-multiprocessor with a shared cache structure, the last level cache is shared by multiple applications executing simultaneously. The competing accesses from different applications degrade the system performance, resulting in non-predicting executing time. Cache partitioning techniques partition the shared cache for multiple applications. The aim of traditional cache partitioning mechanism, Utility-based Cache Partition (UCP) for example, is to lower the overall miss rate of shared cache. But the lowest miss rate doesn't mean the highest performance (IPC). This paper investigates IPC-based Cache Partitioning (IPC-CP), an IPC performance oriented dynamic cache partitioning method. We design a Miss Rate Monitor to collect miss rate information of competing applications at run-time. Then the information collected is inputted to a Miss-Rate to IPC model to get the corresponding IPC performance. Lastly, we get the optimal cache partitioning based on IPC optimum objective function. Our evaluation, on top of a four cores CMP processor with 20 multi-programmed workloads shows that IPC-CP improves throughput by up to 53% and on average 9% over UCP.
Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch
Authors: Krishna Teerth Chaturvedi, Manjaree Pandit, Laxmi Srivastava
Venue: Applied Soft Computing (2008)

At the central energy management center in a power system, the real time controls continuously track the load changes and endeavor to match the total power demand with total generation in such a manner that the operating cost is minimized while all the operating constraints are satisfied. However, due to the strict government regulations on environmental protection, operation at minimum cost is no longer the only criterion for dispatching electrical power. The idea behind the environmentally constrained economic dispatch formulation is to estimate the optimal generation schedule of generating units in such a manner that fuel cost and harmful emission levels are both simultaneously minimized for a given load demand. Conventional optimization techniques become very time consuming and computationally extensive for such complex optimization tasks. These methods are hence not suitable for on-line use. Neural networks and fuzzy systems can be trained to generate accurate relations among variables in complex non-linear dynamical environment, as both are model-free estimators. The existing synergy between these two fields has been exploited in this paper for solving the economic and environmental dispatch problem on-line. A multi-output modified neo-fuzzy neuron (NFN), capable of real time training is proposed for economic and environmental power generation allocation. This model is found to achieve accurate results and the training is observed to be faster than other popular neural networks. The proposed method has been tested on medium-sized sample power systems with three and six generating units and found to be suitable for on-line combined environmental economic dispatch (CEED).
Semantic Structural Similarity for Clustering XML Documents
Authors: Tae-Soon Kim, Ju-Hong Lee, Jae-Won Song
Venue: Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (2008)

The amount of XML documents is increasing rapidly. In order to analyze the information represented in XML documents efficiently, researches on XML document clustering are actively in progress. The key issue is how to devise the similarity measure between XML documents to be used for clustering. Since XML documents have hierarchical structure, it is not appropriate to cluster them by using a general document similarity measure. Previous works on similarity measure for XML document clustering have no consideration for the semantic information as they consider only the structural information. In this paper, we propose the novel similarity measure that concurrently considers both structural and semantic information of XML document. Our experiments show that the proposed method improve accuracy on the clustering from the semantic point of view, compared to the previous works.
PicoServer: Using 3D stacking technology to build energy efficient servers
Authors: Taeho Kgil, Ali Saidi, Nathan Binkert, Steve Reinhardt, Krisztian Flautner, Trevor Mudge
Venue: ACM Journal on Emerging Technologies in Computing Systems (JETC) (2008)

This article extends our prior work to show that a straightforward use of 3D stacking technology enables the design of compact energy-efficient servers. Our proposed architecture, called PicoServer, employs 3D technology to bond one die containing several simple, slow processing cores to multiple memory dies sufficient for a primary memory. The multiple memory dies are composed of DRAM. This use of 3D stacks readily facilitates wide low-latency buses between processors and memory. These remove the need for an L2 cache allowing its area to be re-allocated to additional simple cores. The additional cores allow the clock frequency to be lowered without impairing throughput. Lower clock frequency means that thermal constraints, a concern with 3D stacking, are easily satisfied. We extend our original analysis on PicoServer to include: (1) a wider set of server workloads, (2) the impact of multithreading, and (3) the on-chip DRAM architecture and system memory usage. PicoServer is intentionally simple, requiring only the simplest form of 3D technology where die are stacked on top of one another. Our intent is to minimize risk of introducing a new technology (3D) to implement a class of low-cost, low-power compact server architectures.