ppxscal/embedding_network huggingface dataset:
A method for evaluating the impact of software configuration parameters on e-commerce sites
Authors: Monchai Sopitkamol, Daniel A. Menascé
Venue: Proceedings of the 5th international workshop on Software and performance (2005)

E-commerce systems are composed of many components with several configurable software parameters which, if properly configured, can optimize system performance. The cost and burden of implementing upgrades can be deferred by judicial tuning of these parameters. Tuning is a time consuming effort and energy has to be spent on the most relevant parameters. This paper provides a method to evaluate the statistical significance of configurable parameters in e-commerce systems, the interaction effects between each parameter and e-commerce function types, and a method to rank key configurable e-commerce system parameters that significantly impact overall system performance, and the performance of the most significant Web function types. Both on-line and off-line parameters at each of the e-commerce system layers---Web server, application server, and database server---are considered. The paper discusses the design of a practical and ad-hoc approach that involves conducting experiments on an e-commerce site compliant with the TPC-W benchmark. The performance metrics of interest include server's response time, system throughput, and probability of rejecting a customer's request. The paper also provides a set of useful guidelines for tuning the performance of e-commerce sites.
Face localization and tracking in the neural abstraction pyramid
Authors: Sven Behnke
Venue: Neural Computing and Applications (2005)

One of the major tasks in some human&#x2013;computer interface applications, such as face recognition and video telephony, is to localize a human face in an image. In this paper, we propose to use hierarchical neural networks with local recurrent connectivity to solve this task not only in unambiguous situations, but also in the presence of complex backgrounds, difficult lighting, and noise. The networks are trained using a database of gray-scale still images and manually determined eye coordinates. They are able to produce reliable and accurate eye coordinates for unknown images by iteratively refining initial solutions. Because the networks process entire images, there is no need for any time-consuming scanning across positions and scales. Furthermore, the fast network updates allow for real-time face tracking. In this case, the networks are trained using still images that move in random directions. The trained networks are able to accurately track the eye positions in the test image sequences.
A novel video coding scheme for mobile devices
Authors: Yi Wang, Houqiang Li, Chang Wen Chen
Venue: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia (2004)

In this paper, we propose a novel video coding profile for the multimedia applications oriented for mobile wireless communication. Because mobile devices generally have limited computational capability and constrained power consumption, we have considered jointly both video coding efficiency and implementation feasibility when developing the proposed video coding scheme. We achieve a good trade-off between coding efficiency and complexity by minimizing the video reconstruction distortion caused by adopting reduced complexity algorithms. A number of experiments have been conducted and the results have shown the efficiency of the proposed profile. A demo implemented on the Nokia 6600 cell phone demonstrates the feasibility of video coding scheme for mobile devices in wireless communication applications.
Simplified and Flexible Spiral Transitions for Use in Computer Graphics and Geometric Modelling
Authors: Zulfiqar Habib, Manabu Sakai
Venue: Proceedings of the Third International Conference on Image and Graphics (2004)

We present the composition of G² curves by joining circular arcs and/or straight line segments with cubic Bézier and Pythagorean hodograph quintic spiral transitions. Recent work demonstrates some applications in geometric modelling and a constrained G² continuous spiral transition curve that falls within a closed boundary.
Comparative book review: Harvard Graphics
Venue: ACM SIGSMALL/PC Notes (1991)

This review presents three books about Harvard Graphics. A brief review of each of the books is followed by a comparison of the three. Harvard Graphics is called HG and each title is mentioned as an underlined acronym to save space and still preserve clarity. 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
Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap
Authors: G. Niklas Norén, Roland Orre
Venue: Machine Learning (2005)

This article outlines a Bayesian bootstrap method for case based imprecision estimates in Bayes classification. We argue that this approach is an important complement to methods such as k-fold cross validation that are based on overall error rates. It is shown how case based imprecision estimates may be used to improve Bayes classifiers under asymmetrical loss functions. In addition, other approaches to making use of case based imprecision estimates are discussed and illustrated on two real world data sets. Contrary to the common assumption, Bayesian bootstrap simulations indicate that the uncertainty associated with the output of a Bayes classifier is often far from normally distributed.
Supporting efficient development of cognitive models at multiple skill levels: exploring recent advances in constraint-based modeling
Authors: Irene Tollinger, Richard L. Lewis, Michael McCurdy, Preston Tollinger, Alonso Vera, Andrew Howes, Laura Pelton
Venue: Proceedings of the SIGCHI conference on Human factors in computing systems (2005)

This paper presents X-PRT, a new cognitive modeling tool supporting activities ranging from interface design to basic cognitive research. X-PRT provides a graphical model development environment for the CORE constraint-based cognitive modeling engine [7,13,21]. X-PRT comprises a novel feature set: (a) it supports the automatic generation of predictive models at multiple skill levels from a single task-specification, (b) it supports a comprehensive set of modeling activities, and (c) it supports compositional reuse of existing cognitive/perceptual/motor skills by transforming high-level, hierarchical task descriptions into detailed performance predictions. Task hierarchies play a central role in X-PRT, serving as the organizing construct for task knowledge, the locus for compositionality, and the cognitive structures over which the learning theory is predicated. Empirical evidence supports the role of task hierarchies in routine skill acquisition.
CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency
Authors: Haisang Wu, Binoy Ravindran, E. Douglas Jensen, Peng Li
Venue: Proceedings of the international conference on Hardware/Software Codesign and System Synthesis: 2004 (2004)

We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA), for battery-powered, embedded real-time systems. We consider an embedded software application model where repeatedly occurring application activities are subject to deadline constraints specified using step time/utility functions. For battery-powered embedded systems, system-level energy consumption is also a primary concern. We consider CPU scheduling that (1) provides assurances on individual and collective application timeliness behaviors and (2) maximizes system-level timeliness and energy efficiency. Since the scheduling problem is intractable, EUA heuristically computes CPU schedules with a polynomial-time cost. Several properties of EUA are analytically established, including timeliness optimality during under-load situations and statistical assurances on timeliness behavior. Further, our simulation results confirm EUAýs superior performance.
SCADA with Fault Tolerant CORBA on Fault Tolerant LANE ATM
Authors: David Selvakumar, Chester Rebeiro, R. Pitchiah
Venue: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16 - Volume 17 (2005)

The development of complex industrial distributed systems is highly benefited from distributed object computing middleware such as CORBA. Such applications demand a high degree of reliability, and need to be resilient to faults. The OMG has addressed these requirements as part of the Fault Tolerant CORBA (FT-CORBA) specification. The specification handles single point of failures in CORBA applications by redundancy, fault detection and recovery. This paper presents the building and evaluation of a FT-CORBA infrastructure based on a GPL licensed ORB. The infrastructure is a collection of CORBA services that provides fault tolerance to CORBA applications. Further, fault tolerance at the network card, switch and link level is added to increase system reliability. An evaluation of this infrastructure is done with a Supervisory Control And Data Acquisition (SCADA) system and a Fault Tolerant Local Area Network Emulation (LANE) based Asynchronous Transfer Mode (FTATM) network is presented.
Increasing the Accuracy and Coverage of SQL Progress Indicators
Authors: Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael W. Watzke
Venue: Proceedings of the 21st International Conference on Data Engineering (2005)

Recently, progress indicators have been proposed for long-running SQL queries in RDBMSs. Although the proposed techniques work well for a subset of SQL queries, they are preliminary in the sense that (1) they cannot provide non-trivial estimates for some SQL queries, and (2) the provided estimates can be rather imprecise in certain cases. In this paper, we consider the problem of supporting non-trivial progress indicators for a wider class of SQL queries with more precise estimates. We present a set of techniques in achieving this goal. We report an initial implementation of these techniques in PostgreSQL.
Can link analysis tell us about web traffic?
Authors: Marcin Sydow
Venue: Special interest tracks and posters of the 14th international conference on World Wide Web (2005)

In this paper we measure correlation between link analysis characteristics for Web pages such as in- and out-degree, PageRank and RBS with those obtained from real Web traffic analysis. Measurements made on real data from the Polish Web show that PageRank is observably but not strongly correlated with actual visits made by Web users to Web pages and that our RBS algorithm[2] is more correlated with traffic data than PageRank in some cases.
BBN: description of the PLUM system as used for MUC-4
Authors: Damaris Ayuso, Sean Boisen, Heidi Fox, Herb Gish, Robert Ingria, Ralph Weischedel
Venue: Proceedings of the 4th conference on Message understanding (1992)

Traditional approaches to the problem of extracting data from texts have emphasized hand-crafted linguistic knowledge. In contrast, BBN's PLUM system (Probabilistic Language Understanding Model) was developed as part of a DARPA-funded research effort on integrating probabilistic language models with more traditional linguistic techniques. Our research and development goals are&bull; more rapid development of new applications,&bull; the ability to train (and re-train) systems based on user markings of correct and incorrect output,&bull; more accurate selection among interpretations when more than one is found, and&bull; more robust partial interpretation when no complete interpretation can be found.
Nonlinear Tissue Response Modeling for Physically Realistic Virtual Surgery Using PAFF
Authors: Yi-Je Lim, Suvranu De
Venue: Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2005)

In this paper we present a novel physically realistic scheme based on the point-associated finite field approach (PAFF) for modeling the nonlinear behavior of soft biological tissues in real time during multimodal simulation of laparoscopic procedures using visual and haptic feedback. In this technique the response predicted by an underlying linear model is enhanced in the local neighborhood of the surgical tool-tip by a nonlinear model.
A Robust Optical Flow Estimation Algorithm for Temporal Textures
Authors: Ashfaqur Rahman, Manzur Murshed
Venue: Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02 (2005)

In this paper we propose a robust optical flow estimation algorithm for objects whose motion patterns are classified as temporal textures. While suitability of contemporary motion estimation algorithms depends on physical properties of textures, the proposed technique is robust enough to compute accurate flow patterns for a wide range of temporal textures independent of their type. Experimental results demonstrate the capability of the proposed technique producing accurate flow estimates for a wide range of temporal textures.
An Evaluation of a Framework for the Dynamic Load Balancing of Highly Adaptive and Irregular Parallel Applications
Authors: Kevin J. Barker, Nikos P. Chrisochoides
Venue: Proceedings of the 2003 ACM/IEEE conference on Supercomputing (2003)

We present an evaluation of a flexible framework and runtime software system for the dynamic load balancing of asynchronous and highly adaptive and irregular applications. These applications, which include parallel unstructured and adaptive mesh refinement, serve as building blocks for a large class of scientific applications. Extensive study has lead to the development of solutions to the dynamic load balancing problem for loosely synchronous and computation intensive programs; however, these methods are not suitable for asynchronous and highly adaptive applications. We evaluate a new software framework which includes support for an Active Messages style communication mechanism, global name space, transparent object migration, and preemptive decision making. Our results from both a 3-dimensional parallel advancing front mesh generation program, as well as a synthetic microbenchmark, indicate that this new framework out-performs two existing general-purpose, well-known, and widely used software systems for the dynamic load balancing of adpative and irregular parallel applications.
A Tool to Support Perspective Based Approach to Software Code Inspection
Authors: Lipo Chan, Kai Jiang, Shanika Karunasekera
Venue: Proceedings of the 2005 Australian conference on Software Engineering (2005)

It is widely accepted that code inspection is one of the more cost effective forms of testing. It requires a group of inspectors coming together to find defects in an inspection artifact. However, as inspection artifacts grow larger and more complicated, the burden of conducting the code inspection process outweighs the benefits that it provides. Even with the help of automated tools, the process itself has become inefficient as it consumes a large amount of limited resources. Therefore, there has been much research focus on improving the reading technique, which makes a significant impact on the quality of the inspection. In this paper, we discuss the perspective-based reading technique and its benefits to object-oriented projects. We also discuss the need for a new inspection tool and this leads us to propose a tool that supports the perspective-based reading technique with the use of UML design diagrams. This tool supports perspective-based reading technique by matching scenarios in the form of design diagrams to source code and subsequently searching for discrepancies between the two. The use of design diagrams avoids overlapping of inspection effort; thus, increases theefficiency of code inspection even for large projects. We explain how the tool makes the more effort-driven perspective-based reading technique relatively easy as compared to doing it manually.
Gesture and response in field-based performance
Authors: Sha Xin Wei, Satinder Gill
Venue: Proceedings of the 5th conference on Creativity cognition (2005)

Ambience and immersive technological environments allow us to explore some basics of human pragmatics that lie beyond linguistics, intentionality and the subject-agency perspectives of human interaction. We focus on gesture and the body in sense-making and propose a discussion drawing on a non-dualist and agent-free account of embodied, material experience. By agent-free we mean an approach that does not presume a monolithic subject. Moreover, we deal with the problem of intersubjectivity by studying the human coordination of activity without appealing to a transmission theory of communication. [6].We achieve this by considering how gesture spans multiple bodies and how aesthetic design works with this and facilitates it. The paper is in two parts, the first part covers movement studies, focusing on gesture and body movement, drawing on the acting and pragmatics, and the second part develops this with the example of the TGarden, a responsive play space for experimental performance augmented by gesturally nuanced computational media.
Designing interfaces to afford enjoyable social interactions by collocated groups
Authors: Siân E. Lindley
Venue: CHI '05 extended abstracts on Human factors in computing systems (2005)

The main aim of this research is to understand how domestic technologies for collocated groups can be designed to afford enjoyable social interactions. A secondary aim is to devise process measures to assess the nature of these interactions. This study presents a number of process measures and uses them to evaluate differences in groups' social behaviour when sharing photos as prints compared to when photos are presented using a television. Differences in gesturing behaviour towards the photos were evident across the two conditions. However, aspects of verbal behaviour that were measured, which were taken to be indicative of enjoyable social interactions, were not found to vary.
Remarks on the Discretization of Some Noncoercive Operator with Applications to Heterogeneous Maxwell Equations
Authors: Annalisa Buffa
Venue: SIAM Journal on Numerical Analysis (2005)

We aim to provide a framework for the analysis of convergence for the Galerkin approximation for a class of noncoercive problems. We provide a sufficient condition on the finite element space for the convergence and optimality of the Galerkin scheme. This theory is then applied to the study of the well-posedness and approximability of two problems in electromagnetism.
Self-certification and trust in component procurement
Authors: H.-G. Gross, M. Melideo, A. Sillitti
Venue: Science of Computer Programming (2005)

Component-based software engineering is typically perceived as application development in which existing individual software components are assembled and integrated in order to make up the final product. The main recent technological advances in this field therefore mainly focus on the integration step. This encompasses the syntactic and semantic mapping between components, the development of component wrappers and adapters, and the validation of all pair-wise component interactions. Additionally, prior to integration, components have to be located on a component market place, evaluated for their fitness for the purpose, and selected according to nonfunctional requirements. These activities are typically referred to as component procurement. Component brokerage platforms provide the support for these early phases of component assembly, and they are indispensable for strengthening the software component market. Although such platforms are good at the provision of components, they are not so good at their certification.This article proposes the combination of two contrasting technologies, component brokerage at one end of the component technology spectrum, and built-in contract testing at its other end, that combined, may alleviate the efforts involved in component certification. This is achieved through the access mechanisms that built-in contract testing provides for components, and additional tester components through which customers can themselves assess the quality of a candidate component that is coming from a broker. Every such extended component is added to the certification according to well-defined standards, that are provided by a third party on behalf of the supplier.
Predictive ranking: a novel page ranking approach by estimating the web structure
Authors: Haixuan Yang, Irwin King, Michael R. Lyu
Venue: Special interest tracks and posters of the 14th international conference on World Wide Web (2005)

PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available pages. As a result, the page ranks computed by PR are only based on a subset of the whole Web. This produces inaccurate outcome because of the inherent incomplete information (dangling pages) that exist in the calculation. To overcome this incompleteness, we propose a new variant of the PageRank algorithm called, Predictive Ranking (PreR), in which different classes of dangling pages are analyzed individually so that the link structure can be predicted more accurately. We detail our proposed steps. Furthermore, experimental results show that this algorithm achieves encouraging results when compared with previous methods.
An approach to self-diagnosis of a newly developed fault in digital systems
Authors: V. A. Vedeshenkov
Venue: Automation and Remote Control (2005)

An approach to self-diagnosis of a newly developed fault in digital systems is developed via the expanding domain principle. A restricted number of stable multiple faults in components and development of one more fault during diagnosis are admissible. Self-diagnosis is initiated twice and the results generated in these starts are compared for detecting the developed fault and obtaining reliable diagnosis. An example is given to illustrate the self-diagnosis process in a 9-module system.
Mobile data innovation: Lucio and the cyclic innovation model
Authors: Guus Berkhout, Patrick van der Duin
Venue: Proceedings of the 6th international conference on Electronic commerce (2004)

New developments in the mobile telecom industry, such as growing transmission bandwidth and sector-crossing business alliances, change the way in which mobile telco's are innovating. Traditional innovation models, such as the single-company linear model ('pipeline model'), do not no longer describe how innovation occurs today. An alternative is the boundary-crossing Cyclic Innovation Model (CIM). It considers innovation processes as coupled 'cycles of change', connecting science with business, and with markets, in a cyclic manner. CIM has been applied to 'Lucio', a mobile data product-service combination introduced into the Dutch market by KPN Mobile. The analysis shows that CIM provides insight into the complex network of companies involved, making clear how each company contributes functionality that together constitutes the innovation. CIM may be considered an addition to the growing family of fourth-generation innovation models.