ppxscal/embedding_network huggingface dataset:
Source level transformations to improve I/O data partitioning
Authors: Yijian Wang, David Kaeli
Venue: Proceedings of the international workshop on Storage network architecture and parallel I/Os (2003)

The main goal for parallel I/O is to increase I/O parallelism by providing multiple, independent data channels between processors and disks. To realize this goal, I/O streams need to be parallelized and partitioned at multiple system layers. Contention at any level can dramatically decrease performance and limit scalability. To address this disk contention bottleneck, it is important to carefully study disk access patterns.From our previous work on I/O profiling, we found that I/O access patterns of parallel scientific applications are usually very regular and highly predictable. Thus it is possible to detect I/O access patterns statically during compiler time. Large datasets are logically linearized in file space on disk, and these intensive data accesses follow a linear space traversal. In this paper, we present our recent work on compiler-directed I/O partitioning, based on Linear Disk Access Descriptors (LDAD). We use the SUIF compiler infrastructure to perform data-flow analysis and recognize LDADs. We then use these LDADs to guide our I/O data partitioning that utilizes multiple disks to significantly increase I/O throughput.
Understanding the network-level behavior of spammers
Authors: Anirudh Ramachandran, Nick Feamster
Venue: ACM SIGCOMM Computer Communication Review (2006)

This paper studies the network-level behavior of spammers, including: IP address ranges that send the most spam, common spamming modes (e.g., BGP route hijacking, bots), how persistent across time each spamming host is, and characteristics of spamming botnets. We try to answer these questions by analyzing a 17-month trace of over 10 million spam messages collected at an Internet "spam sinkhole", and by correlating this data with the results of IP-based blacklist lookups, passive TCP fingerprinting information, routing information, and botnet "command and control" traces.We find that most spam is being sent from a few regions of IP address space, and that spammers appear to be using transient "bots" that send only a few pieces of email over very short periods of time. Finally, a small, yet non-negligible, amount of spam is received from IP addresses that correspond to short-lived BGP routes, typically for hijacked prefixes. These trends suggest that developing algorithms to identify botnet membership, filtering email messages based on network-level properties (which are less variable than email content), and improving the security of the Internet routing infrastructure, may prove to be extremely effective for combating spam.
Creating Rich Metadata in the TV Broadcast Archives Environment: The PrestoSpace Project
Authors: A. Messina, L. Boch, G. Dimino, W. Bailer, P. Schallauer, W. Allasia, M. Groppo, M. Vigilante, R. Basili
Venue: Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (2006)

This paper describes the part of the European PrestoSpace project dedicated to the study and development of a Metadata Access and Delivery (MAD) system for television broadcast archives. The mission of the MAD system, inside the wider perspective of the PrestoSpace factory, is to generate, validate and deliver to the archive users metadata created through the employment of both automatic and manual information extraction tools. Automatic tools include audiovisual content analysis and semantic analysis of text extracted by automatic speech recognition (ASR). The MAD publication platform provides access and search facilities to the imported and newly produced metadata in a synergic and easy-to- use interface.
Overlapping variance estimators for simulations
Authors: Christos Alexopoulos, David Goldsman, Nilay Tanik Argon, Gamze Tokol
Venue: Proceedings of the 36th conference on Winter simulation (2004)

We examine properties of overlapped versions of the standardized time series area and Cram&eacute;r-von Mises estimators for the variance parameter of a stationary stochastic process, e.g., a steady-state simulation output process. We find that the overlapping estimators have the same bias properties as, but lower variance than, their nonoverlapping counterparts; the new estimators also perform well against the benchmark batch means estimator. We illustrate our findings with analytical and Monte Carlo examples.
SWSDS: Quick Web Service Discovery and Composition in SEWSIP
Authors: Bin Xu, Tao Li, Zhifeng Gu, Gang Wu
Venue: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (2006)

This paper is concerned with the efficiency of Web service discovery and composition. We proposed a quick Web service discovery and composition approach in SWSDS. In our approach, an index-based algorithm is adopted in both syntactic and semantic match during service discovery and composition. This paper is to introduce SWSDS and its discovery and composition algorithm.
Automation of IEEE 1149.6 Boundary Scan Synthesis in an ASIC Methodology
Authors: Brian Foutz, Vivek Chickermane, Bing Li, Harry Linzer, Gary Kunselman
Venue: Proceedings of the 15th Asian Test Symposium (2006)

This paper describes an automated methodology to insert IEEE 1149.6 boundary scan in a production ASIC environment. The methodology includes updating the ASIC library to support the new test receiver component, updating the TAP controller logic and boundary cells, and finally providing support for embedded high speed I/O logic. Results from several industrial designs and example circuits are shown. These examples include multi-GHz serial I/O such as those used with Serial ATA and PCI-Express.
Parallel simulation of UAV swarm scenarios
Authors: Joshua J. Corner, Gary B. Lamont
Venue: Proceedings of the 36th conference on Winter simulation (2004)

The concept of operations for a micro-UAV system is adopted from nature from the appearance of flocking birds, movement of a school of fish, and swarming bees among others. This "emergent behavior" is the aggregate result of many simple interactions occurring within the flock, school, or swarm. Exploration of this emergent behavior in a swarm is accomplished through a high performance computing parallel discrete event simulation. After design of the system, several experiments are designed, tested, and analyzed for efficiency and effectiveness.
A Design of BASK System for Giga-bit Modem
Authors: Ki-Hwan Eom, Seong-Ho Kang, Yoichi Sato
Venue: Wireless Personal Communications: An International Journal (2006)

We propose a binary amplitude shift keying (BASK) system of Giga-bit Modem without intermediate frequency process for the 60 GHz band. The proposed system consists of a high speed shutter of the transmitter and a repeater of the receiver. The shutter of the proposed system is introduced for pulse shaping to improve the intersymbol interference (ISI). The repeater consists of several stage converters. A converter is constructed with a low pass filter and a limiter. The repeater can improve the signal-to-noise ratio (SNR) and make the rectangular pulse train. The advantage of the proposed system is very simple without the intermediate frequency (IF) process.
Real-time intrusion detection alert correlation
Authors: Richard A. Kemmerer, Giovanni Vigna
Venue:  (2006)

Alert correlation is a process that analyzes the alerts produced by one or more intrusion detection systems and provides a more succinct and high-level view of occurring or attempted intrusions. Even though the correlation process is often presented as a single step, the analysis is actually carried out by a number of components, each of which has a specific goal. Unfortunately, most approaches to correlation concentrate on just a few components of the process, providing formalisms and techniques that address only specific correlation issues. In addition, existing systems do not have the real-time performance needed to perform online alert correlation. This dissertation presents a general correlation model that includes a comprehensive set of components and a real-time correlation tool based on this model. The tool has been applied to a number of intrusion detection datasets to identify how each component contributes to the overall goals of correlation and to validate the real-time performance of the tool. The results of these experiments show that the correlation tool is effective in achieving alert reduction and abstraction while operating in real-time.
The Virtual Paragraph as a Retrieval Information Technique Implanted in Mobile Agents
Authors: Lorena Leal Bando, Darnes Vilarino Ayala, Fabiola Lopez y. Lopez, Hector Jimenez Salazar
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Nowadays the information contained in networks increases constantly, and the way to access this information and to gather important data to the users becomes a tedious task. The purpose of this work is to show the use of mobile agents to recover valuable information for the users they represent. In this work mobile agents are endowed with different strategies to retry information. Our approach is to obtain summaries by using the Transition Point technique (Punto de Transición) and to select those documents and sentences that have a high similarity with the user's requirements. To validate the summaries, the DUC 2002 and a statistical analysis are used. Moreover, the implementation of mobile agents is made in JADE.
Policy Specification and Enforcement for Detection of Security Violations in a Mail Service
Authors: A. Murali M. Rao
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

The paper presents a policy-based approach to detect security violations by enforcing security policy at run-time for providing secure email service. As email service usage is increasing day by day, hackers or attackers are also playing a vital role to destruct email service and even to crash the email server. Due to this, it is a challenging task today to the system administrators to provide secure email service. In this paper, security policy is defined at operating system level, mail application level and network infrastructure level. A policy at system level specifies mandatory usage profile, usages of system sensitive resources such as file system objects, processes, system memory and Inter Process Communication objects. Policies for mail application are defined with sensitive files/directories and parameters, which have impact in delivering a service. Policies for network are defined for controlling inbound and outbound traffic, specifying Demilitarized Zone, denying misuse of public IP and detecting suspicious network activity. The proposed system architecture supports the layered approach in policy enforcement, proactive defensive mechanism against security violations and scope for new policy discovery. The approach is prototyped on Linux-2.4.21-4 and have built rules for squirrel mail version 1.4.5 to detect security violations in a mail service at run-time.
Ocsigen: typing web interaction with objective Caml
Authors: Vincent Balat
Venue: Proceedings of the 2006 workshop on ML (2006)

Ocsigen is a framework for programming highly dynamic web sites in Objective Caml. It allows to program sites as Ocaml applications and introduces new concepts to take into account the particularities of Web interaction, especially the management of URLs and sessions. This paper describes how Ocsigen uses the Objective Caml type system in a thoroughgoing way in order to produce valid XHTML and valid remote function calls through links and form clicking. It also describes how Ocsigen handles the progression of a Web user through a site, using sophisticated and high-level sessions mechanisms.
A new efficient subspace tracking algorithm based on singular value decomposition
Authors: A. Kavcic, Bin Yang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

A new algorithm for signal subspace tracking is presented. It is based on an approximated singular value decomposition using interlaced QR-updating and Jacobi plane rotations. By forcing the noise subspace to be spherical, the computational complexity of the algorithm is brought down to O(nr), where n is the problem dimension and r is the desired number of signal components. The algorithm lends itself for a very efficient systolic array implementation, resulting in a throughput of O(n/sup 0/). Simulations show that the frequency tracking capabilities of the new method are at least as good as those of the computationally much more expensive exact singular value decomposition.
Knowledge Evolution Supporting Automatic Workflow Composition
Authors: Renata Slota, Joanna Zieba, Bartosz Kryza, Jacek Kitowski
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

Benefits of using ontologies for automatic composition of workflow application, become evident when considering knowledge evolution influencing possibility of new workflows composition. The evolution of knowledge in the case of ontology descriptionmeans both evolution of the instance registries as well as evolution of schemas to which the instance descriptions conform. An approach to semi-automated knowledge evolution referred to ontology schemas applied to the process of new Grid service registration is introduced in the paper. The presented study makes extensive use of ontology alignment methods.
Comparison of Feature Space Methods for Face Recognition
Authors: Chunyan Xie, Marios Savvides, B. V. K. Vijaya Kumar
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Many feature space methods have been investigated for appearance-based face recognition. In this paper we compare a new feature space face recognition method - the class-dependence feature analysis (CFA) with three other popular methods, namely, the principal component analysis (PCA), the linear discriminant analysis (LDA) and the independent component analysis (ICA), for appearance-based 2-D face recognition. The numerical results on the face recognition grand challenge (FRGC) show that the CFA outperforms the other three method
A Reversible Automata Approach to Modeling Birdsongs
Authors: Kazutoshi Sasahara, Yasuki Kakishita, Tetsuro Nishino, Miki Takahasi, Kazuo Okanoya
Venue: Proceedings of the 15th International Conference on Computing (2006)

We propose a new automata-based approach to modeling birdsongs on the basis of Angluin's induction algorithm, which ensures that k-reversible languages can be learned from positive samples with polynomial time. There are similarities between Angluin's algorithm and the vocal learning of songbirds; for example, during a critical period, songbirds also learn songs from positive samples of conspecific birds. Using the proposed method, we demonstrate that the song syntaxes of the Bengalese finch can be represented as reversible automata with lower k-reversibility and that juvenile song syntaxes have two types of development. Our approach provides an effective way to understand the vocal learning of songbirds in terms of computational learning.
A Tool for Collaborative Construction of Large Biological Ontologies
Authors: Jie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant G. Honavar
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

In order for ontologies to be broadly useful to the scientific community, they need to capture knowledge and expertise of multiple experts and research groups. Consequently, the construction of such ontologies necessarily requires collaboration among individual experts or research groups. Support for such collaboration is largely lacking in existing ontology development environments. We describe some initial steps towards the development of a collaborative ontology development environment. Specifically, we describe an ontology editing tool COB Editor which exploits the notion of modular ontologies (or ontology packages) to support sharing, reuse, and collaborative editing of partial order (i.e., DAG-structured) ontologies. COB Editor can engage diverse and relatively autonomous communities of biologists in the process of creating the ontologies needed for annotating, integrating, and analyzing diverse sources of 'omics' data.
A telescoping method for double summations
Authors: William Y. C. Chen, Qing-Hu Hou, Yan-Ping Mu
Venue: Journal of Computational and Applied Mathematics (2006)

We present a method to prove hypergeometric double summation identities. Given a hypergeometric term F(n, i, j), we aim to find a difference operator L = a0(n)N0 + a1(n)N1 +...+ ar(n)Nr and rational functions R1 (n, i, j), R2(n, i, j) such that LF = Δi(R1F)+Δj(R2F). Based on simple divisibility considerations, we show that the denominators of R1 and R2 must possess certain factors which can be computed from F(n, i, j). Using these factors as estimates, we may find the numerators of R1 and R2 by guessing the upper bounds of the degrees and solving systems of linear equations. Our method is valid for the Andrews-Paule identity, Carlitz's identities, the Apéry-Schmidt-Strehl identity, the Graham-Knuth-Patashnik identity, and the Petkovšek-Wilf-Zeilberger identity.
Effects of introducing collaborative technology on communications in a distributed safety-critical system
Authors: Sudhendar Hanumantharao, Martha Grabowski
Venue: International Journal of Human-Computer Studies (2006)

Communication and collaborative decision-making are critical activities in safety-critical systems such as marine transportation. As a result, new group technologies have been introduced to enhance communication and decision-making in these settings. Unfortunately, little research examining the impact of these new collaborative technologies has been undertaken, and most of it has been undertaken in laboratory environments, rather than in operational or safety-critical settings. Two primary differences of the operational setting in this study suggest that results may differ from studies undertaken in laboratory environments: (1) the system has a strong hierarchical organization and culture with clearly defined roles and (2) roles in the system are associated with different information access privileges. This paper explores the impact of introducing new technology on communication and collaboration between dispersed decision-making groups in marine transportation, and focuses on the differences in results observed in this operational setting.
Learning Semantic Patterns with Discriminant Localized Binary Projections
Authors: Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is reformulated into a problem of feature clustering, which optimizes the separability of different classes by taking the members within each cluster as the nonzero entries of a projection vector. An efficient greedy procedure is proposed to incrementally combine the sub-clusters by ensuring the cardinality constraints of the projections and the increase of the objective function. Compared with other algorithms for sparse representations, our proposed algorithm, referred to as Discriminant Localized Binary Projections (dlb), has the following characteristics: 1) dlb is supervised, hence is much more effective than other unsupervised sparse algorithms like Non-negative Matrix Factorization (NMF) in terms of classification power; 2) similar to NMF, dlb can derive spatially localized sparse bases; furthermore, the sparsity of dlb is controllable, and an interesting result is that the bases have explicit semantics in human perception, like eyes and mouth; and 3) classification with dlb is extremely efficient, and only addition operations are required for dimensionality reduction. Extensive experimental results show significant improvements of dlb in sparsity and face recognition accuracy in comparison to the state-of-the-art algorithms for dimensionality reduction and sparse representations.
Factors Impact on e-Business Alliances Establishing Stage in Taiwan
Authors: Ya-Lan Wen, Ching-Chih Wen
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Research examined the problem: 'key factors that lead to e-companies' success or failure in establishing strategic alliance'- with case materials from Taiwan. Based on the research problem and theoretic framework developed, a number of research questions allowed solutions to be found. Research issues addressed the following questions: Do you think e-alliances are important? Why? What key factors influence enterprises to establish e-business and strategic alliances? Research achieved varied goals for different stakeholders involved in e-business and strategic alliances in Taiwan - researchers, governments and business enterprises or organisations.
Some Approaches to the Model Error Problem in Data Mining Systems
Authors: V. Reznikov
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

In traditional methodology of statistics as well as in contemporary methodology of knowledge search in field KDD and DM the problem of object is almost completely ignored and the problem of the error of statistical model is insufficiently explored. The work pursues several objectives. Firstly, it aims to demonstrate the significance of these two problems. Secondly, the work intends to show that the problem of object cannot be solved within the limits of rigorous mathematical theories. The problem of model error cannot be obtained in the general case, if the error is entirely specified by means of distribution law. Thirdly, it aims to suggest a methodological analysis of new effective approaches to the mentioned problems for a number of special cases which have been developed in empirical metrological concept of statistics.
Architecture for discovery of crises in MAS
Authors: Edward Nawarecki, Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski
Venue: Fundamenta Informaticae (2006)

The contribution deals with a class of intelligent decentralized systems that meet the agent paradigm. Such systems are marked by the possibility of arising critical situations, interpreted here as the threat of loss (partial or complete) of the system functionality. The work is focused on designing an overall architecture of the (sub-)system dedicated to the discovery of crises and support of anti-crisis activities. The architecture is proposed as a reference one so as it is possible to adjust it to the specificity of any particular application. As an illustration the case of a transportation system is discussed.