ppxscal/embedding_network huggingface dataset:
Quality control and ISO quality compliance in the product lifecycle management at Siemens
Authors: Clotilde Rohleder
Venue: WSEAS Transactions on Computers (2009)

From our experience with customers who deploy customized software products, we have learned that deriving products from shared software assets requires more than complying with quality standards like ISO9126. Additionally, developers must consider what we call the quality profile of the final product. A process that matches the quality profile of final product during product derivation helps provide and validate industrial software application solutions. This paper describes this matching concept and its application in a case study of the development of a product lifecycle reporting tool at a large organization. Also we propose a tool to improve compliance with ISO Quality Standards and that could enhance quality control in derivation process.
Introducing the interactive whiteboard in computer science teaching: a high school experience
Authors: Anita Cassapu
Venue: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education (2009)

In our presentation, we will share our experience in using interactive whiteboards in CS secondary high school class, in order to promote the learning processes and to motivate students to elect CS studies by using this rich-technology environment.
Displaying realistic contact accelerations via a dedicated vibration actuator
Authors: William McMahan, Katherine J. Kuchenbecker
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

During real physical interactions, contact between a hand-held tool and an object causes high-frequency tool accelerations that are detected by mechanoreceptors in the human hand. These haptic signals provide salient cues about changes in tool-surface contact state and enable effortless identification of material and surface properties. Unfortunately, these rich contact sensations are often absent from haptic renderings of virtual and remote objects. This demonstration features a classic implementation of bilateral teleoperation with two augmented SensAble Omni haptic interfaces. By using this system to touch a variety of remote objects, users will have an opportunity to experience first-hand the remarkable improvements in haptic realism that can be achieved through the use of a dedicated high-frequency vibration actuator driven by contact accelerations.
Perpendicular Rectangular Latin Arrays
Authors: Robert Brier, Darryn Bryant
Venue: Graphs and Combinatorics (2009)

A set {A 1, A 2,..., A t } of rectangular arrays, each defined on a symbol set X, is said to be t-perpendicular if each t-element subset of X occurs precisely once when the arrays are superimposed. We investigate the existence of sets of r by s rectangular arrays which are row-Latin, column-Latin and t-perpendicular. For example, we show that for all odd n, there exists a pair of row- and column-Latin 2-perpendicular r by s arrays with symbol set X of size n if and only if $$rs=\binom {n}{2}$$and r, s&#x00a0;&#x2264;&#x00a0;n.
2LIPGarden: 3D hypermedia for everyone
Authors: Jacek Jankowski, Izabela Irzynska, Bill McDaniel, Stefan Decker
Venue: Proceedings of the 20th ACM conference on Hypertext and hypermedia (2009)

The early Web was hailed for being easy to use, and what is more important, giving people a chance to participate in its growth. The Web3D was believed to have potential to be the next step in the Web's evolution, since it could benefit from graphics hardware and provide users with new and exciting experiences. Nevertheless, Virtual Reality Markup Language (VRML), the first Web3D standard, and its successor X3D, did not generate commercial success. These languages were excessively complex for average Internet users. In this paper, we propose 2LIPGarden, a 3D Hypermedia publishing framework that lets individuals who only know basic HTML - those same enthusiasts who could write pages for the early Web - create simple, easy to use yet interactive 3D web pages. Our framework builds upon 2-Layer Interface Paradigm (2LIP), an attempt to marry advantages of 3D experience with the advantages of narrative structure of hypertext. We introduce c-link to HTML, a new type of hyperlink, which connects text with its 3D visualization.
Preprocessing of Low-Quality Handwritten Documents Using Markov Random Fields
Authors: Huaigu Cao, Venu Govindaraju
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

This paper presents a statistical approach to the preprocessing of degraded handwritten forms including the steps of binarization and form line removal. The degraded image is modeled by a Markov Random Field (MRF) where the hidden-layer prior probability is learned from a training set of high-quality binarized images and the observation probability density is learned on-the-fly from the gray-level histogram of the input image. We have modified the MRF model to drop the preprinted ruling lines from the image. We use the patch-based topology of the MRF and Belief Propagation (BP) for efficiency in processing. To further improve the processing speed, we prune unlikely solutions from the search space while solving the MRF. Experimental results show higher accuracy on two data sets of degraded handwritten images than previously used methods.
Microeconomics using Exel: Integrating Economic Theory, Policy Analysis and Spreadsheet Modeling
Authors: Dieter Kirschke, Kurt Jechlitschka
Venue:  (2007)

Using Microsoft Excel, the market leading spreadsheet package, this book combines theory with modelling aspects and spreadsheet analysis. Microeconomics Using Excel provides students with the tools with which to better understand microeconomic analysis.A new textbook, it focuses on solving microeconomic problems by integrating economic theory, policy analysis and spreadsheet modelling. This unique approach facilitates a more comprehensive understanding of the link between theory and problem solving.It is divided into four core parts:analysis of price policiesanalysis of structural policiesmulti-market modelsbudget policy and priority settings. The theory behind each problem is explained and each model is solved using excel. Each model is also available on the accompanying CD and can be used as a prototype for analysis and specific needs.Microeconomics using Excel will be of great interest to students studying economics as well as to professionals in economic and policy analysis.
Dual FastSLAM: Dual Factorization of the Particle Filter Based Solution of the Simultaneous Localization and Mapping Problem
Authors: D. Rodriguez-Losada, P. San Segundo, F. Matia, L. Pedraza
Venue: Journal of Intelligent and Robotic Systems (2009)

The process of building a map with a mobile robot is known as the Simultaneous Localization and Mapping (SLAM) problem, and is considered essential for achieving true autonomy. The best existing solutions to the SLAM problem are based on probabilistic techniques, mainly derived from the basic Bayes Filter. A recent approach is the use of Rao-Blackwellized particle filters. The FastSLAM solution factorizes the Bayes SLAM posterior using a particle filter to estimate over the possible paths of the robot and several independent Kalman Filters attached to each particle to estimate the location of landmarks conditioned to the robot path. Although there are several successful implementations of this idea, there is a lack of applications to indoor environments where the most common feature is the line segment corresponding to straight walls. This paper presents a novel factorization, which is the dual of the existing FastSLAM one, that decouples the SLAM into a map estimation and a localization problem, using a particle filter to estimate over maps and a Kalman Filter attached to each particle to estimate the robot pose conditioned to the given map. We have implemented and tested this approach, analyzing and comparing our solution with the FastSLAM one, and successfully building feature based maps of indoor environments.
Trace-based evaluation of job runtime and queue wait time predictions in grids
Authors: Ozan Sonmez, Nezih Yigitbasi, Alexandru Iosup, Dick Epema
Venue: Proceedings of the 18th ACM international symposium on High performance distributed computing (2009)

Large-scale distributed computing systems such as grids are serving a growing number of scientists. These environments bring about not only the advantages of an economy of scale, but also the challenges of resource and workload heterogeneity. A consequence of these two forms of heterogeneity is that job runtimes and queue wait times are highly variable, which generally reduces system performance and makes grids difficult to use by the common scientist. Predicting job runtimes and queue wait times have been widely studied for parallel environments. However, there is no detailed investigation on how the proposed prediction methods perform in grids, whose resource structure and workload characteristics are very different from those in parallel systems. In this paper, we assess the performance and benefit of predicting job runtimes and queue wait times in grids based on traces gathered from various research and production grid environments. First, we evaluate the performance of simple yet widely used time series prediction methods and the effect of applying them to different types of job classes (e.g., all jobs submitted by single users or to single sites). Then, we investigate the performance of two kinds of queue wait time prediction methods for grids. Last, we investigate whether prediction-based grid-level scheduling policies can have better performance than policies that do not use predictions.
Detailed methylation prediction of CpG islands on human chromosome 21
Authors: Isse Ali, Huseyin Seker
Venue: Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry (2009)

High throughput technology has enabled identification of methylated CpG islands for genetics and epigenetics research. As methylation of CpG islands is involved in various biological phenomena and function of the DNA methylation is linked to various human diseases such as cancers, analysis of the CpG islands has become important and useful in characterizing and modeling biological phenomena and understanding mechanism of such diseases. However, analysis of the data associated with the CpG islands is a quite new and challenging area of research in bioinformatics, systems biology and epigenetics. In this paper, the problem associated with prediction of methylated and unmethylated CpG islands on human chromosome 21 is addressed. In order to carry out the prediction, a data set of 132 samples of the CpG islands on chromosome 21 and 7 different feature sub-sets totalling 3759 attributes that characterise the methylated and unmethylated groups is extracted for each sample. Due to the nature of this unbalanced data set, in order to avoid disadvantages of traditional leave-one-out (LOO) and m-fold cross validation methods, the LOO method is modified by incorporating the m-fold cross validation approach. In addition, K-nearest neighbor classifier is then adapted for the prediction. The results obtained through 1397 different comprehensive analyses shows that the methylated CpG islands can be distinguished from the unmethylated CpG islands by a predictive accuracy of between 71.90 and 81.06%. More importantly, the modified LOO identifies more clearly and reliably that the feature sub-set "DNA sequence properties and distribution" that contains 2870 features fails predicting the methylated group, and also, when combined with other feature sets, reduces the predictive accuracy of the methylated group. Another interesting observation is that the modified-LOO-based analysis reveals that the DNA structure and Single Nucleotide Polymorphisms (SNP) features achieve the highest predictive accuracy when combined with the other feature sets, which is not the case in the traditional LOO. This also further supports the robustness of the modified-LOO cross validation approach as SNP is one of the most important and effective attributes shown in other studies.
Investments in Information Security: A Real Options Perspective with Bayesian Postaudit
Authors: Hemantha Herath, Tejaswini Herath
Venue: Journal of Management Information Systems (2008)

The application of real options techniques to information security is significantly different than in the case of general information technology investments due to characteristics unique to information security. Emerging research in the economics of information security has suggested real options analysis (ROA) as a potential technique for assessing the value of information security assets, but has focused primarily on the most effective level of investment and the configuration of intrusion prevention/detection systems. In this paper, we attempt to address significant gaps in the literature by developing an integrated real options model for information security investments using Bayesian statistics that incorporates learning and postauditing in the analysis. By using the proposed model with actual data on e-mail and spam, we demonstrate that ROA with Bayesian postauditing offers a systematic valuation and risk management framework for evaluating information security spending by firms. We also discuss the managerial implications.
Explanations of unsupervised learning clustering applied to data security analysis
Authors: G. Corral, E. Armengol, A. Fornells, E. Golobardes
Venue: Neurocomputing (2009)

Network security tests should be periodically conducted to detect vulnerabilities before they are exploited. However, analysis of testing results is resource intensive with many data and requires expertise because it is an unsupervised domain. This paper presents how to automate and improve this analysis through the identification and explanation of device groups with similar vulnerabilities. Clustering is used for discovering hidden patterns and abnormal behaviors. Self-organizing maps are preferred due to their soft computing capabilities. Explanations based on anti-unification give comprehensive descriptions of clustering results to analysts. This approach is integrated in Consensus, a computer-aided system to detect network vulnerabilities.
Large Image Collections --- Comprehension and Familiarization by Interactive Visual Analysis
Authors: Krešimir Matković, Denis Gračanin, Wolfgang Freiler, Jana Banova, Helwig Hauser
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

Large size and complex multi-dimensional characteristics of image collections demand a multifaceted approach to exploration and analysis providing better comprehension and appreciation. We explore large and complex data-sets composed of images and parameters describing the images. We describe a novel approach providing new and exciting opportunities for the exploration and understanding of such data-sets. We utilize coordinated, multiple views for interactive visual analysis of all parameters. Besides iterative refinement and drill-down in the image parameters space, exploring such data-sets requires a different approach since visual content cannot be completely parameterized. We simultaneously brush the visual content and the image parameter values. The user provides a visual hint (using an image) for brushing in addition to providing a complete image parameters specification. We illustrate our approach on a data-set of more than 26,000 images from Flickr. The developed approach can be used in many application areas, including sociology, marketing, or everyday use.
Designing for physical-digital correspondence in tangible learning environments
Authors: Sara Price, Taciana Pontual Falcão
Venue: Proceedings of the 8th International Conference on Interaction Design and Children (2009)

In tangible learning environments the potential to exploit different physical-digital links increases representational power but also broadens the complexity of design. This paper presents studies that illustrate the effect of physical correspondence design choices on learners' interpretations, particularly regarding meaning making and conceptual mappings between objects and representations, and learners' ability to generalize. Preconceptions and associations with familiar real settings were found to have a significant level of interference in children's perception, interpretation and comprehension of the concepts.
Exploring approaches to dynamic adaptation
Authors: Jorge Fox, Siobhán Clarke
Venue: Proceedings of the 3rd International DiscCoTec Workshop on Middleware-Application Interaction (2009)

In this work, we compare current approaches to dynamic adaptation (DA) and identify the need for further research on mechanisms for DA, which should allow for higher compositionality and flexibility. Moreover, after exploring the research landscape in DA we identified the need for a framework that permits to compose several elements of a software system and specially the ones that perform adaptation. Finally, we identified the need for a framework that allows for runtime discovery or replacement of services with a runtime environment capable of verifying the reliability of changes and preservation of the execution time bounds of the software system.
Dynamic Control of Intention Priorities of Human-like Agents
Authors: Huiliang Zhang, Shell Ying Huang
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

Intention scheduling mechanism plays a critical role in the correct behaviour of BDI agents. For human-like agents, the independent intentions should be scheduled based on their priorities, which show the respective importance and urgency of the intentions. We propose to enrich the BDI agent architecture with 2 processing components, a PCF (Priority Changing Function) Selector and a Priority Controller. These enable a BDI agent to assign an initial priority value to an intention and change it with time according to the chosen PCF. The initial priority value reflects its urgency at the time of intention creation. The PCF selected defines how the priority should change with time. As an example, we design a function by simulating human behaviors when dealing with several things at the same time. The priority first increases with time according to the Gaussian function to simulate that people are more inclined to do something which has been on their mind for sometime. After a certain time, if the intention still does not get executed because of other higher priority intentions, its priority will decrease according to the Ebbinghaus forgetting curve. Experiment results show that with this mechanism, the agent can show some human-like characteristics when scheduling intention to execute. This can be used when simulating human-like agents.
Undecidable properties of flat term rewrite systems
Authors: Guillem Godoy, Hugo Hern&#x00e1;ndez
Venue: Applicable Algebra in Engineering, Communication and Computing (2009)

Reachability, joinability and confluence properties are known to be undecidable for flat term rewrite systems (TRS). We give shorter and conceptually simpler proofs of these results. We also prove undecidability of weak normalization and unique normalization properties for flat TRS.
Practical .NET2 and C#2 Second Edition: Harness the Platform, the Language, the Framework, 2nd edition
Authors: Smacchia Patrick
Venue:  (2007)

The second edition of Practical .NET 2 and C2 takes upon the success of the first edition which is the English adaptation of the best selling French title on the topic which has sold over 3800 copies in the French market since its release. With the recent release of .NET 3.0 in 2007 and the ever increasing popularity of the .NET platform, the second edition of Practical .NET 2 and C2 continues in the footsteps of the success of the first edition by offering revised and adapted content to meet the changes that came with the release of the .NET 3.0 Framework. 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
Cross-tagging for personalized open social networking
Authors: Avaré Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme
Venue: Proceedings of the 20th ACM conference on Hypertext and hypermedia (2009)

The Social Web is successfully established and poised for continued growth. Web 2.0 applications such as blogs, bookmarking, music, photo and video sharing systems are among the most popular; and all of them incorporate a social aspect, i.e., users can easily share information with other users. But due to the diversity of these applications -- serving different aims -- the Social Web is ironically divided. Blog users who write about music for example, could possibly benefit from other users registered in other social systems operating within the same domain, such as a social radio station. Although these sites are two different and disconnected systems, offering distinct services to the users, the fact that domains are compatible could benefit users from both systems with interesting and multi-faceted information. In this paper we propose to automatically establish social links between distinct social systems through cross-tagging, i.e., enriching a social system with the tags of other similar social system(s). Since tags are known for increasing the prediction quality of recommender systems (RS), we propose to quantitatively evaluate the extent to which users can benefit from cross-tagging by measuring the impact of different cross-tagging approaches on tag-aware RS for personalized resource recommendations. We conduct experiments in real world data sets and empirically show the effectiveness of our approaches.
Unsupervised part-of-speech tagging employing efficient graph clustering
Authors: Chris Biemann
Venue: Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (2006)

An unsupervised part-of-speech (POS) tagging system that relies on graph clustering methods is described. Unlike in current state-of-the-art approaches, the kind and number of different tags is generated by the method itself. We compute and merge two partitionings of word graphs: one based on context similarity of high frequency words, another on log-likelihood statistics for words of lower frequencies. Using the resulting word clusters as a lexicon, a Viterbi POS tagger is trained, which is refined by a morphological component. The approach is evaluated on three different languages by measuring agreement with existing taggers.