ppxscal/embedding_network huggingface dataset:
Process-Aware Interrupt Scheduling and Accounting
Authors: Yuting Zhang, Richard West
Venue: Proceedings of the 27th IEEE International Real-Time Systems Symposium (2006)

In most operating systems, the handling of interrupts is typically performed within the address space of the kernel. Moreover, interrupt handlers are invoked asynchronously during the execution of arbitrary processes. Unfortunately, this allows for a process's time quantum to be consumed by arbitrary interrupt handling. To avoid significant impact to process execution and also to respond quickly enough to interrupts, interrupt servicing is usually split into two parts: a "top" and "bottom" half. The top half executes at interrupt time and is meant to be short enough to complete all necessary actions at the time of the interrupt. In contrast, the bottom half can be deferred to a more suitable point in time to complete servicing of a prior interrupt. Systems such as Linux may defer bottom half handling to a schedulable thread that may be arbitrarily delayed until there are no other processes to execute. A better approach would be to schedule bottom halves in accordance with the priorities of processes that are affected by their execution. Likewise, bottom half processing should be charged to the CPU-time usage of the affected process, or processes, where possible, to ensure fairer and more predictable resource management. This paper describes some of our approaches, both algorithmically and in terms of implementation on a Linux system, to combine interrupt scheduling and accountability. We show significant improvements in predictability of a Linux system by modifying the kernel to more accurately account for interrupt servicing costs and more precisely control when and to what extent interrupts can be serviced.
The Soft Computing Approach to Program Development Time Estimation
Authors: Vandana Bhattacherjee
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

Software effort modeling is one of the fields in which machine learning techniques have proved effective. In this paper, attempt has been made to establish a relation between program development time with respect to its dependence on various program and personnel attributes. A neural network model has been developed to predict the development time of various software programs. The model is a three layer feed forward network with 17 neurons in the hidden layer. The model has 5 inputs and 1 output.
SuperGraph Visualization
Authors: Jose F. Rodrigues Jr., Agma J. M. Traina, Christos Faloutsos, Caetano Traina Jr.
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

Given a large social or computer network, how can we visualize it, find patterns, outliers, communities? Although several graph visualization tools exist, they cannot handle large graphs with hundred thousand nodes and possibly million edges. Such graphs bring two challenges: interactive visualization demands prohibitive processing power and, even if we could interactively update the visualization, the user would be overwhelmed by the excessive number of graphical items. To cope with this problem, we propose a formal innovation on the use of graph hierarchies that leads to GMine system. GMine promotes scalability using a hierarchy of graph partitions, promotes concomitant presentation for the graph hierarchy and for the original graph, and extends analytical possibilities with the integration of the graph partitions in an interactive environment.
Communication over a Secured Heterogeneous Grid with the GriddLeS Runtime Environment
Authors: Jagan Kommineni, David Abramson, Jefferson Tan
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

Scientific workflows are a powerful programming technique for specifying complex computations using a number of otherwise independent components. When used in a Grid environment, it is possible to build powerful "virtual applications" across multiple distributed and heterogeneous resources. Whilst toolkits such as Globus virtualize many system attributes, and thus make it easier to span different organizations, inconsistent security policies and resource heterogeneity can limit the applicability of workflow techniques. In earlier work, we have described a novel run time environment, GriddLeS, that supports flexible communication patterns between workflow components. GriddLeS abstracts IO operations, such that applications are given the illusion of operating on a local file system, whilst in fact they send and receive data between components. In this paper, we describe how GriddLeS assists in resolving some of the issues that arise due to heterogeneity in security policies and system architectures in a Grid environment. We illustrate the solution using a real world scientific workflow for climate modeling, and demonstrate a system that spans multiple conflicting security domains with heterogeneous resources.
A Microprocessor-based Block Cipher through Rotational Addition Technique (RAT)
Authors: Rajdeep Chakraborty, J. K. Mandal
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

In this paper, a novel block cipher [5,8,13] based on a microprocessor system has been proposed where the encryption is done through Rotational Addition technique (RAT). The original message is considered as a stream of bits, which is then divided into a number of blocks, each containing n bits, where n is any one of 2, 4, 8, 16, 32, 64, 128, 256. The two adjacent blocks are then added where the modulus of addition is 2n. The result replaces the second block, first block remaining unchanged. The modulo addition has been implemented in a very simple manner where the carry out of the MSB is discarded to get the result. The technique is applied in a cascaded manner by varying the block size from 2 to 256. The whole technique has been implemented through a microprocessor-based system by using a modulo subtraction technique for decryption.
Help-seeking behavior and learning with hypermedia
Authors: Pragati Godbole-Chaudhuri, Fielding I. Winters, Roger Azevedo, Neil Hofman
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

The help-seeking behavior of 67 learners (29 low and 38 high conceptual-gain) using a hypermedia environment to learn about the circulatory system was investigated in a naturalistic tutoring condition. Results showed that participants who demonstrated greater conceptual gain (from pretest to posttest) asked significantly greater number of cognitive questions relating to the content of the material than context questions pertaining to the environment. The study has implications for understanding the role of help-seeking behavior during learning with hypermedia and the design of hypermedia tools to facilitate help-seeking behavior.
An Agent Based QoS Conflict Mediation Framework for Web Services Compositions
Authors: Xuan Thang Nguyen, Ryszard Kowalczyk
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

Web services technology is prevailing for business-to- business integration due to its well defined infrastructure enabling interoperability among heterogeneous applications. However, this interoperability promise also poses a difficulty in building a Web service management framework which can work across organizational boundaries. In this paper, we argue that existing Web service management systems are inflexible in the way they handle QoS violations of a composite service.We suggest to use an intermediate step, called QoS conflict mediation, to make existing Web service management systems more flexible. Our mediation approach is based on a combination of two new ideas. Firstly, we propose to use techniques from the AI field of Distributed Constraint Satisfaction to intelligently mediate any QoS conflicts between services in compositions involving multiple service providers. Secondly, we propose a novel monitoring system, based on cryptography, to verify the conformance of service providers to the specification of a selected DisCSP algorithm - the Asysnchronous Aggregate Search (AAS). This enables our DisCSP based QoS mediation to be used in the real Web services environment where full collaboration between providers may not always be guaranteed.
Eclipse Distilled (Eclipse)
Authors: David Carlson
Venue:  (2005)

Eclipse DistilledDavid CarlsonForeword by Grady BoochSeries EditorsErich Gamma Lee Nackman John WiegandA Concise Introduction to Eclipse for the Productive ProgrammerOrganized for rapid access, focused on productivity, Eclipse Distilled brings together all the answers you need to make the most of today's most powerful Java development environment. David Carlson introduces proven best practices for working with Eclipse, and shows exactly how to integrate Eclipse into any Agile development process.Part I shows how to customize workspaces, projects, perspectives, and views for optimal efficiency-and how to leverage Eclipse's rapid development, navigation, and debugging features to maximize both productivity and code quality. Part II focuses entirely on Agile development, demonstrating how Eclipse can simplify team ownership, refactoring, continuous testing, continuousintegration, and other Agile practices. Coverage includes Managing Eclipse projects from start to finish: handling both content and complexity Using perspectives, views, and editors to work more efficiently Setting preferences to fit your own unique needs-or your team's Leveraging Eclipse's powerful local and remote debugging tools Understanding how Eclipse fits into contemporary iterative development processes Performing continuous testing with JUnit in the Eclipse environment Using Eclipse's wizard-assisted refactoring tools Implementing continuous integration with Ant-based automated project builders Employing best practices for code sharing with CVS and other repositoriesBy focusing on need-to-know information and providing best practices and methodologies, this book is designed to get you working with Eclipse quickly. Whether you're building enterprise systems, Eclipse plug-ins, or anything else, this concise book will help you write better code-and do it faster.About the AuthorDavid Carlson is a developer, researcher, author, instructor, and consultant who thrives on innovative technology. He started using Java in 1995 and Eclipse in 2001. David has a Ph.D. in Information Systems from the University of Arizona and is a frequent speaker at conferences and a contributor to technical journals. He is creator of the hyperModel plug-in for Eclipse, and author of Modeling XML Applications with UML (Addison-Wesley, 2001).Cover photo: © archivberlin Fotoagentur GmbH / AlamyAddison-Wesley www.awprofessional.com/series/eclipseISBN 0-321-28815-7$34.99 US $48.99 CANADA© Copyright Pearson Education. All rights reserved.
Digital Libraries in Support of Science Education: A Case for Computational Physics
Authors: Bruce Mason
Venue: Computing in Science and Engineering (2006)

This article focuses on the NSDL's Communities for Physics and Astronomy Digital Resources in Education (ComPADRE) Pathway project for physics and astronomy education and outlines the effort's goals and structure. It presents a proposal to better support the incorporation of computational methods in the undergraduate physics and astronomy curriculum.
A model for exploring the impact of purchasing strategies on user requirements determination of e-SRM
Authors: Ing-Long Wu, Yuh-Chen Shen
Venue: Information and Management (2006)

Recently, business managers have touted supplier relationship management (SRM) as the next core competency and a source of competitive advantage. This suggests the need of an e-SRM installation. SRM domain involves relatively wide and complex business processes and without the support of IT, it would not be accomplished easily. As the Internet became popular and many firms were quick to launch e-SRM, however, the effect went farther than was expected. In particular, the fundamental is in the determination of user requirements, commonly considered to be the key to the success of system installation and often inappropriately planned. This study involves a strategy-based planning process to guide user requirements determination. Moreover, the implementation step in this process, identification of supplier selection criteria, has rarely been considered and the literature has only discussed it isolatedly for the choice of a supplier. Basically, the process includes three steps: define purchasing strategies, identify supplier selection criteria, and determine system requirements. Empirical results have indicated that purchasing strategies significantly influence the performance of user requirements determination.
Acclimatizing Taxonomic Semantics for Hierarchical Content Classification
Authors: Lei Tang, Jianping Zhang, Huan Liu
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

Hierarchical models have been shown to be effective in content classification. However, we observe through empirical study that the performance of a hierarchical model varies with given taxonomies; even a semantically sound taxonomy has potential to change its structure for better classification. By scrutinizing typical cases, we elucidate why a given semantics-based hierarchy does not work well in content classification, and how it could be improved for accurate hierarchical classification. With these understandings, we propose effective localized solutions that modify the given taxonomy for accurate hierarchical classification. We conduct extensive experiments on both toy and real-world data sets, report improved performance and interesting findings, and provide further analysis of algorithmic issues such as time complexity, robustness, and sensitivity to the number of features.
Semantic Interoperating and Accessing Heterogeneous and Autonomous XML Sources
Authors: Nang Tom Hawm Saw, Khin Haymar Saw Hla
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Almost all current database systems offer tools to export or view its content as XML which is also accepted as the emerging standard for promoting data interoperability over the web. However, XML focuses only on the syntax of data instead of the semantic and at the same time users get full freedom to model XML sources according to their local requirements. Consequently, these sources of the same domain adapt to different structures may represent data with similar semantic. In our work, we concentrate on integrating (interoperating) heterogeneous XML sources of the same domain to eliminate the structural differences of the user queries (accessing these sources) while they represent similar semantic. In this paper, we proposed architecture of semantic mediation approach based on OWL ontology. We also highlight how we can take the profit of OWL for integrating local ontologies that will be a great help for the completion of our architecture.
Separate Geometric and Non-Geometric Modules for Spatial Reorientation: Evidence from a Lopsided Animal Brain
Authors: Giorgio Vallortigara, Piero Pagni, Valeria Anna Sovrano
Venue: Journal of Cognitive Neuroscience (2004)

Research has proved that disoriented children and nonhuman animals can reorient themselves using geometric and nongeometric features of the environment, showing conjoined use of both types of information to different degree depending on species and developmental level. Little is known of the neurobiological bases of these spatial reorientation processes. Here we take advantage of the neuroanatomical peculiarities of the visual system of birds (showing segregation of information between the two sides of the brain to a considerable degree) to investigate the way in which geometric and nongeometric information is encoded and used by the left and right hemispheres. Domestic chicks were trained binocularly in an environment with a distinctive geometry (a rectangular cage) with panels at the corners providing nongeometric cues. Between trials, chicks were passively disoriented to disable dead reckoning. When tested after removal of the panels, left-eyed chicks, but not right-eyed chicks, reoriented using the residual information provided by the geometry of the cage. When tested after removal of geometric information (i.e., in a square-shaped cage), both right- and left-eyed chicks reoriented using the residual nongeometric information provided by the panels. When trained binocularly with only geometric information, at test, left-eyed chicks reoriented better than right-eyed chicks. Finally, when geometric and nongeometric cues provided contradictory information, left-eyed chicks showed more reliance on geometric cues, whereas right-eyed chicks showed more reliance on nongeometric cues. The results suggest separate mechanisms for dealing with spatial reorientation problems, with the right hemisphere taking charge of large-scale geometry of the environment and with both hemispheres taking charge of local, nongeometric cues when available in isolation, but with a predominance of the left hemisphere when competition between geometric and non-geometric information occurs.
Evidence of Developmental Differences in Implicit Sequence Learning: An fMRI Study of Children and Adults
Authors: Kathleen M. Thomas, Ruskin H. Hunt, Nathalie Vizueta, Tobias Sommer, Sarah Durston, Yihong Yang, Michael S. Worden
Venue: Journal of Cognitive Neuroscience (2004)

Prevailing theories of implicit or unaware learning propose a developmental invariance model, with implicit function maturing early in infancy or childhood despite prolonged improvements in explicit or intentional learning and memory systems across childhood. Neuroimaging studies of adult visuomotor sequence learning have associated fronto-striatal brain regions with implicit learning of spatial sequences. Given evidence of continued development in these brain regions during childhood, we compare implicit sequence learning in adults and 7- to 11-year-old children to examine potential developmental differences in the recruitment of fronto-striatal circuitry during implicit learning. Participants performed a standard serial reaction time task. Stimuli alternately followed a fixed 10-step sequence of locations or were presented in a pseudorandom order of locations. Adults outperformed children, achieving a significantly larger sequence learning effect and showing learning more quickly than children. Age-related differences in activity were observed in the premotor cortex, putamen, hippocampus, inferotemporal cortex, and parietal cortex. We observed differential recruitment of cortical and subcortical motor systems between groups, presumably reflecting age differences in motor response execution. Adults showed greater hippocampal activity for sequence trials, whereas children demonstrated greater signal during random trials. Activity in the right caudate correlated significantly with behavioral measures of implicit learning for both age groups, although adults showed greater signal change than children overall, as would be expected given developmental differences in sequence learning magnitude. These results challenge the idea of developmental invariance in implicit learning and instead support a view of parallel developments in implicit and explicit learning systems.
Output-error LMS bilinear filters with stability monitoring
Authors: Junghsi Lee, V. J. Mathews
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

This paper introduces output-error LMS bilinear filters with stability monitoring. Bilinear filters are recursive nonlinear systems that belong to the class of polynomial systems. Because of the feedback structure, such models are able to represent many nonlinear systems efficiently. However, the usefulness of adaptive bilinear filters is greatly restricted unless they are guaranteed to perform in a stable manner. A stability monitoring scheme is proposed to overcome the stability problem. The paper concludes with simulation results that demonstrate the usefulness of our technique.
Paying Down Design Debt with Strategic Refactoring
Authors: Colin J. Neill, Philip A. Laplante
Venue: Computer (2006)

Properly applied, strategic refactoring offers the most effective solution to decaying code.
Online outlier detection in sensor data using non-parametric models
Authors: S. Subramaniam, T. Palpanas, D. Papadopoulos, V. Kalogeraki, D. Gunopulos
Venue: Proceedings of the 32nd international conference on Very large data bases (2006)

Sensor networks have recently found many popular applications in a number of different settings. Sensors at different locations can generate streaming data, which can be analyzed in real-time to identify events of interest. In this paper, we propose a framework that computes in a distributed fashion an approximation of multi-dimensional data distributions in order to enable complex applications in resource-constrained sensor networks.We motivate our technique in the context of the problem of outlier detection. We demonstrate how our framework can be extended in order to identify either distance- or density-based outliers in a single pass over the data, and with limited memory requirements. Experiments with synthetic and real data show that our method is efficient and accurate, and compares favorably to other proposed techniques. We also demonstrate the applicability of our technique to other related problems in sensor networks.
Multiresolution Hierarchy for Real-Time Cartoon-Style Rendering
Authors: Michael Press, Jihad El-Sana
Venue: Proceedings of the conference on Geometric Modeling and Imaging: New Trends (2006)

In this paper we present a new approach for real time cartoon-style rendering for large datasets. It uses color quantization to determine the different shadow regions and utilizes multiresolution hierarchy to maintain appropriate level of detail over the various regions of the mesh. To comply with visual requirements, our algorithm performs real time mesh subdivision on selected regions to reach the appropriate level of detail. In addition, we have adopted vertex split and edge collapse operations that can be performed without incurring extra vertex split/edge collapse operations as a precondition. The real time refinement, which can exceed the original resolution of the mesh, dramatically improves the quality of rendered image while using only a small processing overhead. This refinement can be applied recursively, potentially providing a smooth model surface and smooth cartoon features in any possible camera zoom.
A combinatorial proof of the Rogers-Ramanujan and Schur identities
Authors: Cilanne Boulet, Igor Pak
Venue: Journal of Combinatorial Theory Series A (2006)

We give a combinatorial proof of the first Rogers-Ramanujan identity by using two symmetries of a new generalization of Dyson's rank. These symmetries are established by direct bijections.
Relative localization using path odometry information
Authors: Nakju Lett Doh, Howie Choset, Wan Kyun Chung
Venue: Autonomous Robots (2006)

All mobile bases suffer from localization errors. Previous approaches to accommodate for localization errors either use external sensors such as lasers or sonars, or use internal sensors like encoders. An encoder's information is integrated to derive the robot's position; this is called odometry. A combination of external and internal sensors will ultimately solve the localization error problem, but this paper focuses only on processing the odometry information. We solve the localization problem by forming a new odometry error model for the synchro-drive robot then use a novel procedure to accurately estimate the error parameters of the odometry error model. This new procedure drives the robot through a known path and then uses the shape of the resulting path to estimate the model parameters. Experimental results validate that the proposed method precisely estimates the error parameters and that the derived odometry error model of the synchro-drive robot is correct.