ppxscal/embedding_network huggingface dataset:
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Venue: PACT (2008)

It is our pleasure to welcome you to the 17th International Conference on Parallel Architectures and Compilation Techniques (PACT 2008). PACT brings together researchers from computer architecture, compilers, applications, and programming languages to present and discuss research of common interest. PACT 2008 features research on a broad range of topics, including parallel architectures, compilers, tools, benchmarks, I/O, reconfigurable architectures, middleware and runtime systems, hardware support for multithreading, and memory hierarchy design and programming. There were 159 submissions to the conference, a strong number of submissions again. The submitted papers underwent a thorough review process. Each paper was assigned to at least 3 program committee members to review. For most papers, at least one external review from an outside expert was obtained as well. There was an author feedback period, where authors could provide feedback on preliminary reviews. Authors could address questions from reviewers and correct factual errors. The program committee did an admirable job of reviewing the papers in a relatively short time frame. On average, each committee member had about 21 papers to review. Committee members were assigned papers in early April and reviews were due on Monday, May 19th to accommodate the author feedback period. The author feedback period was from May 21st to May 23rd . The committee met on Monday, June 2nd at Stanford University. The committee accepted 30 papers, for an acceptance rate of about 19%. We are pleased to be meeting in the beautiful city of Toronto, Canada. We hope that you will enjoy Toronto in late October. The technical program includes talks for 30 papers and two keynotes. There is a special event at the CN tower on Tuesday evening, as well as plenty of time for socializing and discussing on-going research. There are also 5 tutorials and 3 workshops the weekend before the main conference.
Symmetric positive solutions for p-Laplacian fourth-order differential equations with integral boundary conditions
Authors: Xuemei Zhang, Meiqiang Feng, Weigao Ge
Venue: Journal of Computational and Applied Mathematics (2008)

This paper investigates the existence and multiplicity of symmetric positive solutions for a class of p-Laplacian fourth-order differential equations with integral boundary conditions. The arguments are based upon a specially constructed cone and the fixed point theory for cones. The nonexistence of a positive solution is also studied.
Integrating airborne SAR, Landsat TM and airborne geophysics data for improving geological mapping in the Amazon region: the Cigano Granite, Carajas Province, Brazil
Authors: R. K. Teruiya, W. R. Paradella, A. R. Dos Santos, R. Dall'Agnol, P. Veneziani
Venue: International Journal of Remote Sensing (2008)

This study examines the value of integrating airborne C-band Synthetic Aperture Radar (SAR), Landsat Thematic Mapper (TM) and airborne gamma spectroradiometric data with field, petrographic and geochemical data for geological mapping of the Cigano batholith, an important representative of the Paleoproterozoic granitic magmatism in the Carajas Mineral Province (CMP), Amazon region. Distinct schemes for the integration of radar/optical and radar/optical/gamma data were evaluated and the geological information derived from the integrated products was verified in the field. The investigation allowed the re-evaluation of previous geological information and the definition of distinct domains within the Cigano pluton and country rocks. The importance of brittle structures related to the tectonic evolution of the area and the location of intensely altered zones in the pluton was emphasized, favouring new insights into current geological and exploratory models of the area. The application of a similar approach as operational routine in exploration programmes in the Amazon region is justified considering the limited geological information, the availability of aerogeophysical data and airborne/spaceborne remote sensing data (radar, optical) and the high costs of field mapping in this kind of terrain.
On the Kalman---Yakubovich---Popov lemma and the multidimensional models
Authors: Olivier Bachelier, Wojciech Paszke, Driss Mehdi
Venue: Multidimensional Systems and Signal Processing (2008)

This paper focuses on Kalman---Yakubovich---Popov lemma for multidimensional systems described by Roesser model that possibly includes both continuous and discrete dynamics. It is shown that, similarly to the standard 1-D case, this lemma can be studied through the lens of S-procedure. Furthermore, by virtue of this lemma, we will examine robust stability, bounded and positive realness of multidimensional systems.
Multiresolution cooperation makes easier document structure recognition
Authors: Aur&#x00e9;lie Lemaitre, Jean Camillerapp, Bertrand Co&#x00fc;asnon
Venue: International Journal on Document Analysis and Recognition (2008)

This paper shows the interest of imitating the perceptive vision to improve the recognition of the structure of ancient, noisy and low structured documents. The perceptive vision, that is used by human eye, consists in focusing attention on interesting elements after having detecting their presence in a global vision process. We propose a generic method in order to apply this concept to various problems and kinds of documents. Thus, we introduce the concept of cooperation between multiresolution visions into a generic method. The originality of this work is that the cooperation between resolutions is totally led by the knowledge dedicated to each kind of document. In this paper, we present this method on three kinds of documents: handwritten low structured mail documents, naturalization decree register that are archive noisy documents from the 19th century and Bangla script that requires a precise vision. This work is validated on 86,291 documents.
A family of multi-point iterative methods for solving systems of nonlinear equations
Authors: Gyurhan H. Nedzhibov
Venue: Journal of Computational and Applied Mathematics (2008)

We extend to n-dimensional case a known multi-point family of iterative methods for solving nonlinear equations. This family includes as particular cases some well known and also some new methods. The main advantage of these methods is they have order three or four and they do not require the evaluation of any second or higher order Frechet derivatives. A local convergence analysis and numerical examples are provided.
Original paper: A post-processing step error correction algorithm for overlapping LiDAR strips from agricultural landscapes
Authors: Jeffrey Willers, Mingzhou Jin, Burak Eksioglu, Andy Zusmanis, Charles O'Hara, Johnie Jenkins
Venue: Computers and Electronics in Agriculture (2008)

In the processing of light detection and ranging (LiDAR) data, a step error is an abrupt change in estimates of elevation between adjacent strips and must be reduced before building a digital surface model (DSM) of elevation. Existing methodologies in the literature for removing this artifact require an analyst to (1) utilize the sensor and aircraft information of the LiDAR mission, (2) isolate homologous flat surfaces within regions of overlap of adjoining LiDAR strips to estimate the mean offset, or (3) a combination of the two. In this application involving an agricultural landscape, a different methodology was required because the necessary information from the laser scanner or internal navigation system (INS) of the aircraft was unavailable and it was not possible to successfully identify homologous flat surfaces. Therefore, a post-processing, quadratic optimization model was formulated to reduce step artifacts. Using statistics obtained from the geographic overlap of the strips with a benchmark strip, it was possible to determine from the elevation values of the LiDAR point clouds two quantities: the strip variance and the total variance. Using these values and related statistics, the optimization model estimated correction constants, called decision variables, that minimized the among-group variance of the adjoining strips. When the values of these decision variables are added to the point cloud elevations of their respective LiDAR strips, the systematic step errors among adjoining strips are minimized with respect to the elevations provided by the point cloud of the benchmark strip. Decision variable values ranged between -0.087 and 0.078m. The adjusted LiDAR strip point clouds were used to build a corrected DSM of a 638.2-ha agricultural landscape at a spatial resolution of 0.5m. The elevation range of the DSM is approximately 44-81m HAE (height above the ellipsoid), where the higher elevations are the tops of trees. Effectiveness of the optimization model approach to reduce the step errors was evaluated by comparing the DSM before and after adjustment. Several hillshade, gray scale image subsets, and profile plot comparisons between the before and after adjustment of the point clouds of the LiDAR strips illustrate the algorithm's performance in reducing step error effects.
Artificial immune-based supervised classifier for land-cover classification
Authors: Mahesh Pal
Venue: International Journal of Remote Sensing (2008)

This paper explores the potential of an artificial immune-based supervised classification algorithm for land-cover classification. This classifier is inspired by the human immune system and possesses properties similar to nonlinear classification, self/non-self identification, and negative selection. Landsat ETM+ data of an area lying in Eastern England near the town of Littleport are used to study the performance of the artificial immune-based classifier. A univariate decision tree and maximum likelihood classifier were used to compare its performance in terms of classification accuracy and computational cost. Results suggest that the artificial immune-based classifier works well in comparison with the maximum likelihood and the decision-tree classifiers in terms of classification accuracy. The computational cost using artificial immune based classifier is more than the decision tree but less than the maximum likelihood classifier. Another data set from an area in Spain is also used to compare the performance of immune based supervised classifier with maximum likelihood and decision-tree classification algorithms. Results suggest an improved performance with the immune-based classifier in terms of classification accuracy with this data set, too. The design of an artificial immune-based supervised classifier requires several user-defined parameters to be set, so this work is extended to study the effect of varying the values of six parameters on classification accuracy. Finally, a comparison with a backpropagation neural network suggests that the neural network classifier provides higher classification accuracies with both data sets, but the results are not statistically significant.
Shannon bounds for large-scale wireless MAC's potential capacity in presence of errors
Authors: Alexander B. Markhasin
Venue: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems (2008)

The reachable, real, throughput capacity of the various medium access control (MAC) protocols differs considerably. In fact, a wireless MAC protocol's current state information is dispersed at geographically distributed stations, and therefore is inaccessible in principle for the "MAC collective intellect" up to the transmission instant in the common wireless medium. This is due to the fundamental incompleteness of the state information in queues with corresponding throughput waste, including the collisions during distributed access to the wireless medium. Previously, we introduced and investigated the notion of potential MAC capacity as the maximally reachable throughput on the set of possible MAC protocols which was expressed by means of Shannon entropy of the distributed multiple access processes based on the Markov models of the distributed queues. We considered the case of ideal MAC conditions, i.e., a channel without errors, with zero propagation time, and a single service class. In this paper, we focus our efforts on excluding these limiting conditions. We derive the fundamental Shannon bounds of the distributed wireless MAC protocols - the maximally reachable throughput capacity and the minimally reachable overhead of the medium access control protocol in practical conditions of multiservice wireless networks.
Estimation of individual prediction reliability using the local sensitivity analysis
Authors: Zoran Bosnić, Igor Kononenko
Venue: Applied Intelligence (2008)

For a given prediction model, some predictions may be reliable while others may be unreliable. The average accuracy of the system cannot provide the reliability estimate for a single particular prediction. The measure of individual prediction reliability can be important information in risk-sensitive applications of machine learning (e.g. medicine, engineering, business). We define empirical measures for estimation of prediction accuracy in regression. Presented measures are based on sensitivity analysis of regression models. They estimate reliability for each individual regression prediction in contrast to the average prediction reliability of the given regression model. We study the empirical sensitivity properties of five regression models (linear regression, locally weighted regression, regression trees, neural networks, and support vector machines) and the relation between reliability measures and distribution of learning examples with prediction errors for all five regression models. We show that the suggested methodology is appropriate only for the three studied models: regression trees, neural networks, and support vector machines, and test the proposed estimates with these three models. The results of our experiments on 48 data sets indicate significant correlations of the proposed measures with the prediction error.
Performance analysis of the broadband wireless network with decentralized control and hidden terminals
Authors: V. M. Vishnevskii, A. S. Gudilov, A. I. Lyakhov
Venue: Automation and Remote Control (2008)

A new method of analytical modeling of the broadband wireless networks with hidden terminals operating under the IEEE 802.11 protocol was proposed. It was assumed that the network stations operate in saturation and access the wireless channel using both the basic and alternative RTS/CTS methods. Results of analytical modeling and simulation were presented.
Multi-level Editing of Hierarchical Documents
Authors: Claudia-Lavinia Ignat, Moira C. Norrie
Venue: Computer Supported Cooperative Work (2008)

Collaborative editing enables a group of people to edit documents collaboratively over a computer network. Customisation of the collaborative environment to different subcommunities of users at different points in time is an important issue. The model of the document is an important factor in achieving customisation. We have chosen a tree representation encompassing a large class of documents, such as text, XML and graphical documents and here we propose a multi-level editing approach for maintaining consistency over hierarchical-based documents. The multi-level editing approach involves logging edit operations that refer to each node. Keeping operations associated with the tree nodes to which they refer offers support for tracking user activity performed on various units of the document. This facilitates the computation of awareness information and the handling of conflicting changes referring to units of the document. Moreover, increased efficiency is obtained compared to existing approaches that use a linear structure for representing documents. The multi-level editing approach involves the recursive application of any linear merging algorithm over the document structure and we show how the approach was applied for real-time and asynchronous modes of collaboration.
"The Future Internet: A Vision from European Research"
Authors: Cristina Martinez Gonzalez
Venue: Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems: (2008)

The infrastructure of the Internet has and will continually evolve to support and enable new services, trends and businesses. Europe is committed to take a leading role in exploring the emerging visions for the Future Internet that will drive the requirements for its underlying network and service infrastructure. Also, ICT is evolving from a facet of business operation and a collection of consumer gadgets to a critical infrastructure that underpins the economy and society. In parallel, the mechanisms for and even the nature of innovation are changing. The next EU Work Programme for Research in ICT will reflect this unavoidable move towards a larger share of the economy/social activities moving on line, with a need to make the Internet capable of supporting a larger number of usages whilst remedying to the current deficiencies in terms of presentation, security, trust, scalability, mobility, etc. All the "visions" presented would then become use cases in relation to an all-encompassing research objective federated under, and driving the requirements towards, a "Future Internet" Challenge. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A distributed, multi-language architecture for large unmanned ground vehicles
Authors: Cynthia Cicalese, Richard Weatherly, Joel Sherrill, Robert Bolling, Kevin Forbes, Robert Grabowski, Keven Ring, David Seidel
Venue: Proceedings of the 2008 ACM annual international conference on SIGAda annual international conference (2008)

In this paper, we describe the design and development of a network of large unmanned ground vehicles (LUGVs) using low-cost, off-the-shelf technology and building upon experience gained at the 2005 Defense Advanced Research Projects Agency (DARPA) Grand Challenge. Our unique distributed architecture allows robots with different capabilities to interact, facilitates the use of multiple programming languages, and supports location and employment transparency of the interacting software agents. We wrote safety-critical and real-time software in Ada to benefit from the language's precise semantics and timing control, while writing navigation, maneuvering, user interaction, and visualization software in Java for rapid, flexible development.
CARD: a decision-guidance framework and application for recommending composite alternatives
Authors: Alexander Brodsky, Sylvia Morgan Henshaw, Jon Whittle
Venue: Proceedings of the 2008 ACM conference on Recommender systems (2008)

This paper proposes a framework for Composite Alternative Recommendation Development (CARD), which supports composite product and service definitions, top-k decision optimization, and dynamic preference learning. Composite services are characterized by a set of sub-services, which, in turn, can be composite or atomic. Each atomic and composite service is associated with metrics, such as cost, duration, and enjoyment ranking. The framework is based on the Composite Recommender Knowledge Base, which is composed of views, including Service Metric Views that specify services and their metrics; Recommendation Views that specify the ranking definition to balance optimality and diversity; parametric Transformers that specify how service metrics are defined in terms of metrics of its subservices; and learning sets from which the unknown parameters in the transformers are iteratively learned. Also introduced in the paper is the top-k selection criterion that, based on a vector of utility metrics, provides the balance between the optimality of individual metrics and the diversity of recommendations. To exemplify the framework, specific views are developed for a travel package recommender system.
Detecting war-induced abandoned agricultural land in northeast Bosnia using multispectral, multitemporal Landsat TM imagery
Authors: Frank D. W. Witmer
Venue: International Journal of Remote Sensing (2008)

The use of satellite technology by military planners has a relatively long history as a tool of warfare, but little research has used satellite technology to study the effects of war. This research addresses this gap by applying satellite remote sensing imagery to study the effects of war on land-use/land-cover change in northeast Bosnia. Although the most severe war impacts are visible at local scales (e.g. destroyed buildings), this study focuses on impacts to agricultural land. Four change detection methods were evaluated for their effectiveness in detecting abandoned agricultural land using Landsat Thematic Mapper (TM) data from before, during and after the 1992-95 war. Ground reference data were collected in May 2006 at survey sites selected using a stratified random sampling approach based on the derived map of abandoned agricultural land. Fine-resolution Quickbird imagery was also used to verify the accuracy of the classification. Results from these analyses show that a supervised classification of the Landsat TM data identified abandoned agricultural land with an overall accuracy of 82.5%. The careful use of freely available Quickbird imagery, both as training data for the supervised classifier and as supplementary ground reference data, suggests that these methods are applicable to other civil wars too dangerous for researchers' fieldwork.
WYSIWYG development of data driven web applications
Authors: Fan Yang, Nitin Gupta, Chavdar Botev, Elizabeth F Churchill, George Levchenko, Jayavel Shanmugasundaram
Venue: Proceedings of the VLDB Endowment (2008)

An emerging trend in Social Networking sites and Web portals is the opening up of their APIs to external application developers. For example, the Facebook Platform, Google Gadgets and Yahoo! Widgets allow developers to design their own applications, which can then can be integrated with the platform and shared with other users. However, current APIs are targeted towards developers with programming expertise and database knowledge; they are not accessible to a large class of users who do not have a programming/database background, but would nevertheless like to create new applications. To address this need, we have developed the AppForge system, which provides a WYSIWYG application development platform. Users can graphically specify the components of webpages inside a Web browser, and the corresponding database schema and application logic will be automatically generated on the fly by the system. The WYSIWYG interface gives instantaneous feedback on what users have created and allows them to run, test and continuously refine their applications. AppForge has been used to create prototype versions of a variety of applications such as an event planning system, a recruiting system, an item trading system and an online course management system. We have also conducted a small and preliminary user study to identify and fix some of the usability aspects of AppForge.