ppxscal/embedding_network huggingface dataset:
Ultrasonic Signal Detection Via Improved Sparse Representations
Authors: Qi Ai-ling, Ma Hong-wei, Liu Tao
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Interference noising originating from the ultrasonic testing defect signal seriously influences the accuracy of the signal extraction and defect location. Sparse signal representations are the most recent technique in the signal processing. This technique is utilized to extract casting ultrasonic flaw signals in this paper. But its calculation is huge. A new improved matching pursuit algorithm is proposed. Artificial fish swarm algorithm is a stochastic global optimization technique proposed lately. A hybrid artificial fish swarm optimization algorithm based on mutation operator and simulated annealing are employed to search the best atomic, it can greatly reduce complexity of sparse representations. Experimental results to detect ultrasonic flaw echoes contaminated by white Gaussian additive noise or correlated noise are presented in the paper. Compared with the wavelet transform, the results show that the signal quality and performance parameters are improved obviously.
Estimation of a common slope in a gamma regression model with multiple strata: An empirical Bayes method
Authors: Yuta Minoda, Takemi Yanagimoto
Venue: Computational Statistics Data Analysis (2009)

An empirical Bayes method for a gamma regression model with a slope parameter @b common through multiple strata is proposed and examined. Assuming that the number of strata is fairly large, we attempt to modify a usual empirical Bayes method so as to yield an improved estimator of @b. Such a modification is necessary to pursue compromise between Bayesian and frequentist approaches. Simulation studies strongly support superiority of the proposed estimator over the maximum likelihood estimator. A test for @b=0 is also discussed. To show large difference between the two estimates, an illustrative example is given.
Application of the Urban Green Assessment Model for the Korean Newtowns
Authors: Sangkeun Eom, Seungil Lee
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

In this study the Korean newtowns were appraised in terms of green use by dwellers using the assessment model of urban greens developed on the basis of accessibility to green space. The model was assumed through a survey on the dwellers of the two developed newtowns, which represent basically different spatial structures: Pyeongchon with a latticed urban form and Sanbon with a clustered one. The assumed model was applied to a newtown developed in 90s (Sanbon) and a newtown in process (Dongtan) in order to verify an improvement between the two newtowns with respect to the use of greens. According to the model application the green rate weighted by potential users increased by 7.56% points for Dongtan and 4.11% points for Sanbon. However, the increasing ratio of Sanbon's one (25.90%) is greater than that of Dongtan's one (23.42%). This confirms that the use of greens could be determined more influentially by their spatial form and arrangement than by their area. For this analysis a Binary Logit Model, SPSS 12.0, ArcGIS were used.
Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature
Authors: Kaarel Kaljurand, Fabio Rinaldi, Thomas Kappeler, Gerold Schneider
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

We present an approach towards the automatic detection of names of proteins, genes, species, etc. in biomedical literature and their grounding to widely accepted identifiers. The annotation is based on a large term list that contains the common expression of the terms, a normalization step that matches the terms with their actual representation in the texts, and a disambiguation step that resolves the ambiguity of matched terms. We describe various characteristics of the terms found in existing term resources and of the terms that are used in biomedical texts. We evaluate our results against a corpus of manually annotated protein mentions and achieve a precision of 57% and recall of 72%.
An Approximation Algorithm for Optimizing Multiple Path Tracking Queries over Sensor Data Streams
Authors: Yao-Chung Fan, Arbee L. Chen
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Sensor networks have received considerable attention in recent years and played an important role in data collection applications. Sensor nodes have limited supply of energy. Therefore, one of the major design considerations for sensor applications is to reduce the power consumption. In this paper, we study an application that combines RFID and sensor network technologies to provide an environment for moving object path tracking, which needs efficient join processing. This paper considers multi-query optimization to reduce query evaluation cost, and therefore power consumption. We formulate the multi-query optimization problem and present a novel approximation algorithm which provides solutions with suboptimal guarantees. In addition, extensive experiments are made to demonstrate the performance of the proposed optimization strategy.
Translating Learning Theories into Physiological Hypotheses
Authors: Jennifer J. Vogel-Walcutt, Denise Nicholson, Clint Bowers
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

The battlefield has become an increasingly more complicated setting in which to operate. Additional stressors, complexity, and novel situations have challenged not only those in the field, but consequently also those in training. More information must be imparted to the trainees, yet more time is not available. Thus, in this paper, we consider one way to optimize the delivery and acquisition of knowledge that can be meaningfully applied to the field setting. We hypothesize that for learning efficiency to be maximized, we need to keep learners in a constant state of engagement and absorption. As such, we consider neuro-physiological hypotheses that can help prescribe mitigation strategies to reduce the impact of sub-optimal learning.
Commercial Design Using AutoCAD 2010
Authors: Daniel John Stine
Venue:  (2009)

Commercial Design Using AutoCAD 2010 is an introductory level tutorial which uses commercial design exercises as the means to teach AutoCAD 2010. The reader begins a campus library floor plan. Using step-by-step tutorial lessons, the library project is followed through to create FFE plans, interior elevations, schedules, and details. Throughout the project, new AutoCAD commands and design concepts are covered at the appropriate time. Focus is placed on the most essential parts of a command rather than an exhaustive review of every sub-feature of a particular command. Each book is bundled with a CD containing video files and all the necessary base files. Throughout the text the reader is presented with icons indicating that a video file is available on the CD for viewing. Each video is a short audio/video presentation on that particular subject Table of Contents 1. Introduction: Getting Started 2. Introduction: The Must Know Commands 3. Library Project: FLOOR PLANS - Part 1 4. Library Project: FLOOR PLANS - Part 2 5. Library Project: FLOOR PLANS - Furniture, Fixtures Equipment 6. Library Project: INTERIOR ELEVATIONS 7. Library Project: Details (Level: Construction Documents) 8. Library Project: Schedules & Sheet Setup 9. Library Project: Plotting Appendix A: Layer & Lineweight Standards Appendix B: Text and Dimensions Appendix C: Abbreviations 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
veriT: An Open, Trustable and Efficient SMT-Solver
Authors: Thomas Bouton, Diego Caminha B. De Oliveira, David Déharbe, Pascal Fontaine
Venue: Proceedings of the 22nd International Conference on Automated Deduction (2009)

This article describes the first public version of the satisfiability modulo theory (SMT) solver veriT. It is open-source, proof-producing, and complete for quantifier-free formulas with uninterpreted functions and difference logic on real numbers and integers.
$\Sigma^0_1$ and $\Pi^0_1$ Equivalence Structures
Authors: Douglas Cenzer, Valentina Harizanov, Jeffrey B. Remmel
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

We study computability theoretic properties of $\Sigma _{1}^{0}$ and $\Pi _{1}^{0}$ equivalence structures and how they differ from computable equivalence structures or equivalence structures that belong to the Ershov difference hierarchy. Our investigation includes the complexity of isomorphisms between $\Sigma _{1}^{0}$ equivalence structures and between $\Pi _{1}^{0}$ equivalence structures.
Towards Fair Leader Election in Wireless Networks
Authors: Zbigniew Gołebiewski, Marek Klonowski, Michał Koza, Mirosław Kutyłowski
Venue: Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks (2009)

In this paper we consider a leader election problem in ad-hoc single hop radio sensor network with an adversary. The aim of the adversary is to be chosen as a leader. In many scenarios it can be a staring point for performing other attacks and taking control over the whole network.In our paper we show that in typical and well-known algorithms it is not possible to avoid this threat, i.e. the adversary can always use such strategy, that the node under its control becomes a leader with high probability. This attack is efficient even if the adversary controls very small number of nodes. Moreover, we show that it is not even possible in practice to detect such malicious behaviour.Our second contribution is a new leader election algorithm that provides, to some extent, immunity against this types of attack. We consider several realistic network models and we design appropriate methods for each of them. We also show that in some scenarios it is not possible to prevent the adversary from becoming the leader.
Generating execution infrastructures for component-oriented specifications with a model driven toolchain: a case study for MARTE's GCM and real-time annotations
Authors: Ansgar Radermacher, Arnaud Cuccuru, Sebastien Gerard, François Terrier
Venue: Proceedings of the eighth international conference on Generative programming and component engineering (2009)

The development of embedded Systems becomes more and more complex. Model driven engineering can help to manage this complexity by specifying real-time properties in a declarative way and automating the deployment. The UML profile MARTE is a OMG standard that allows to model real-time properties. However, there is no execution infrastructure that supports MARTE's generic component model (GCM) and the application modeling (HLAM). The contribution of the paper is twofold: it presents a proposition of a component model with flexible interaction support that allows to tailor code generation to domain and target requirements. Second, it will show how MARTE's GCM concepts can be implemented by means of the proposed component model. The proposed component model has been largely developed in the context of the French national project Flex-eWare with the intention to unify major components model, notably the CORBA component model (CCM) and Fractal. The paper explains the major elements of this model in detail and shows how specific connector and containers can implement MARTE specifications. We present the tool support that is integrated into a UML modeler and based on model-to-model and model to text transformations.
Using WYSIWYM to create an open-ended interface for the semantic grid
Authors: F. Hielkema, C. Mellish, P. Edwards
Venue: Proceedings of the Eleventh European Workshop on Natural Language Generation (2007)

Central to the vision of the Semantic Grid is the adoption of metadata and ontologies to describe resources, to promote and enhance collaboration (De Roure et al., 2005). This raises the question of how such metadata comes into existence. Ideally the users should create it themselves, which raises the issue of how a scientist should create RDF. In our work in the area of e-social science, we aim to support social scientists in their research, using (Semantic) Grid technologies. For this, a tool is needed that facilitates easy creation of RDF by non-experts, to enable researchers to deposit and describe their own data. We believe that, for social scientists, natural language is the best medium to use, as the way they conduct their research and the structure of their documents and data indicate that they are more oriented towards text than graphics.
Image Reconstruction Algorithm Based on Algebraic Neural Network for Electrical Resistance Tomography
Authors: Zhang Yanjun, Wang Lili, Zhou Jing, Chen Deyun
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.
Developing principles for outdoor mobile multimedia guides in cultural heritage settings
Authors: Heloisa Candello
Venue: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services (2009)

This study aims to develop design principles for outdoor mobile multimedia guides in cultural heritage.
Arabic dialect processing tutorial
Authors: Mona Diab, Nizar Habash
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Tutorial Abstracts on XX (2007)

Language exists in a natural continuum, both historically and geographically. The term language as opposed to dialect is only an expression of power and dominance of one group/ideology over another. In the Arab world, politics (Arab nationalism) and religion (Islam) are what shape the perception of the distinction between the Arabic language and an Arabic dialect. This power relationship is similar to others that exist between languages and their dialects. However, the high degree of difference between standard Arabic and its dialects and the fact that standard Arabic is not any Arab's native language sets the Arabic linguistic situation apart.
Korean null pronouns: classification and annotation
Authors: Na-Rae Han
Venue: Proceedings of the 2004 ACL Workshop on Discourse Annotation (2004)

This paper discusses an annotation scheme for Korean null pronouns, which were used in annotating three kinds of Korean text corpora including Penn Korean Treebank. In annotating the corpora, null pronouns and their antecedents were marked up for their type and reference, with coreference relation tracked by numeric identifiers. Based on the annotation scheme, an outline of a potential pronoun resolution strategy is also proposed. The resulting dataset of annotated text is rather small at 11,834 words; we hope the null pronoun classification and annotation scheme proposed in this study will serve as a basis in developing a large-scale annotated corpus in the future.
Automatic Video Pattern Recognition Based on Combination of MPEG-7 Descriptors and Second-Prediction Strategy
Authors: Xinghao Jiang, Tanfeng Sun, Bin Chen, Rongjie Li, Bing Feng
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

As the Internet and multimedia technology develops, the content security of the multimedia has become more and more important. To distinguish various contents in the multimedia, we present an approach for automatic video classification based on combination of MPEG-7 descriptors and second-prediction strategy. In this paper, color, texture, shape and motion descriptors are extracted from five different genres of videos and combined as a whole feature. Then we put the feature into the SVM classifier to be trained. We choose the 1-1 method for SVM multi-class classification, and use the second-prediction strategy to improve the accuracy of video classification. Finally, we test our approach on a broad range of video data and achieve an overall classification accuracy of 98.80%.
Developing an expert evaluation method for user eXperience of cross-platform web services
Authors: Kaisa Väänänen-Vainio-Mattila, Minna Wäljas
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

Positive user experience (UX), including its pragmatic and hedonic aspects, is a central design target for interactive products and services. Increasingly, new types of Web services are developed for both PCs and mobile terminals to support user needs for media content management and social interaction. Even though many UX models have been developed, the specific characteristics affecting UX of Web services and their implications to service design have not been studied systematically. Furthermore, low-cost methods for UX evaluation are still almost non-existent. In this paper we present the results of our service UX study in which three Web services were evaluated by experts in their contexts of use, using a set of service UX evaluation heuristics. The evaluation results point out eight main themes of service UX, including usability, social presence, cross-platform interaction, and informing users about the dynamic changes in the service. We discuss the issues related to the suitability of the expert evaluation method for Web service UX evaluation.
A noisy-channel model of rational human sentence comprehension under uncertain input
Authors: Roger Levy
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

Language comprehension, as with all other cases of the extraction of meaningful structure from perceptual input, takes places under noisy conditions. If human language comprehension is a rational process in the sense of making use of all available information sources, then we might expect uncertainty at the level of word-level input to affect sentence-level comprehension. However, nearly all contemporary models of sentence comprehension assume clean input---that is, that the input to the sentence-level comprehension mechanism is a perfectly-formed, completely certain sequence of input tokens (words). This article presents a simple model of rational human sentence comprehension under noisy input, and uses the model to investigate some outstanding problems in the psycholinguistic literature for theories of rational human sentence comprehension. We argue that by explicitly accounting for input-level noise in sentence processing, our model provides solutions for these outstanding problems and broadens the scope of theories of human sentence comprehension as rational probabilistic inference.
Owning ITIL?
Authors: Rob England
Venue:  (2009)

This book is essential reading for all decision makers (IT-literate or not) who are presented with an ITIL? proposal or asked to oversee an ITIL project, or find something called "ITIL" or "Service Management" in their budget. It tells you what the ITIL industry won't. For everyone else involved in ITIL projects, this book will help you stay grounded and safe. The book explains, in lay-manager's terms, what ITIL is. It reveals what ITIL is good for, what it is bad at, what to expect from it. It describes how to ensure an ITIL project succeeds, what to look for in the business case, and how to measure the results. See www.itskeptic.org/owningitil ITIL? is a Registered Trade Mark and a Registered Community Trade Mark of the UK Office of Government Commerce ("OGC"). ITIL? is registered in the U.S. Patent and Trademark Office. 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
Analyzing the role of students' self-organization in a case of scripted collaboration
Authors: Pantelis M. Papadopoulos, Stavros N. Demetriadis, Ioannis G. Stamelos
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

This work analyzes a case of computer-supported scripted collaboration, focusing on how students' self-organization affected the actual collaboration script during script run-time. Two groups of students studied learning material using a web environment designed for supporting case-based learning. The first group followed a non-scaffolded individual mode of study while students in the second group were guided by a collaboration script to work (in dyads) on the case material. Statistical analysis indicated no significant differences in the learning outcomes of the two groups. Qualitative analysis (based on students' interviews and field observations) revealed that students' self-organization resulted to a broad range of actual script implementation ranging from full conformance to partial violation of the script guidelines. The paper discusses the socio-cognitive role of students' self-organization during scripted collaboration and presents suggestions for the teacher and CSCL designer in order to enhance the engagement of collaborating students to productive learning interactions.
Where Academics Meet the Real World: Difficulties Encountered When Conducting a Project for Designing a Game-Based Learning in a Company
Authors: Eduardo Werneck, Maiga Chang
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

Educational games have been widely developed and tested by many researchers. Most of results show that the educational games are good to increase students' learning motivations in formal learning. It seems quite workable, however, is it also true if we want to apply the concepts to business? Or, does it still have effects to on-job-training and orientation in business? This research focuses on the first question. The experience of trying to design and test a Game-Based Learning System, with a joy component, in a real corporation is challenging and risky. This paper shows how hard was to find a company willing to do this test, the negotiations involved, the legal issues and the extensive scrutiny imposed. Constant revisions and postponing, threatening of cancellation and misinformation about company resources needs continuous diplomacy and flexibility from researchers. Prejudice against computer games may play an important barrier and an unfair advantage towards traditional training deliveries.