ppxscal/embedding_network huggingface dataset:
Structure learning on large scale common sense statistical models of human state
Authors: William Pentney, Matthai Philipose, Jeff Bilmes
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined and preexisting common sense data and traditional probabilistic machine learning techniques to improve recognition of the state of everyday human life. In this paper, we demonstrate effective techniques for structure learning on graphical models designed for this domain, improving the SRCS system of (Pentney et al. 2006) by learning additional dependencies between variables. Because the models used for common sense reasoning typically involve a large number of variables, issues of scale arise in searching for additional dependencies; we discuss how we use data mining techniques to address this problem. We show experimentally that these techniques improve the accuracy of state prediction, and that, with a good prior model, the use of a common sense model with structure learning provides better prediction of unlabeled variables as well as labeled variables. The results also demonstrate that it is possible to collect new common sense information about daily life using such a statistical model and labeled data.
Numerical Simulation of Fluid Flow in Thin Slab Continuous Casting Mould
Authors: Jing Zhang, Ying Gao, Jingna Gao, Ge Wang, Lingjun An, Qiang Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

According to actual circumstance of Han Iron and Steel Company CSP, a three-dimensional mathematical model of fluid flow in the mould has been developed. The process of fluid flow is simulated in aid of fluid simulation software FLUENT, when we use two kinds of SEN separately in cast. The fluid flow in the mould is simulated at the difference of technical parameters (flow-guiding slot angle and submerge depth), when using two kind of SEN separately. And the optimum SEN configuration (flow-guiding slot angle) and submerge depth are fixed based on the numerical simulation.
Lexicon acquisition for dialectal Arabic using transductive learning
Authors: Kevin Duh, Katrin Kirchhoff
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

We investigate the problem of learning a part-of-speech (POS) lexicon for a resource-poor language, dialectal Arabic. Developing a high-quality lexicon is often the first step towards building a POS tagger, which is in turn the front-end to many NLP systems. We frame the lexicon acquisition problem as a transductive learning problem, and perform comparisons on three transductive algorithms: Transductive SVMs, Spectral Graph Transducers, and a novel Transductive Clustering method. We demonstrate that lexicon learning is an important task in resource-poor domains and leads to significant improvements in tagging accuracy for dialectal Arabic.
Consistent projection methods for variable density incompressible Navier-Stokes equations with continuous surface forces on a rectangular collocated mesh
Authors: Ming-Jiu Ni
Venue: Journal of Computational Physics (2009)

Two consistent projection methods of second-order temporal and spatial accuracy have been developed on a rectangular collocated mesh for variable density Navier-Stokes equations with a continuous surface force. Instead of the original projection methods (denoted as algorithms I and II in this paper), in which the updated cell center velocity from the intermediate velocity and the pressure gradient is not guaranteed solenoidal, the consistent projection methods (denoted as algorithms III and IV) obtain the cell center velocity based on an interpolation from a conservative fluxes with velocity unit on surrounding cell faces. Dependent on treatment of the continuous surface force, the pressure gradient in algorithm III or the sum of the pressure gradient and the surface force in algorithm IV at a cell center is then conducted from the difference between the updated velocity and the intermediate velocity in a consistent projection method. A non-viscous 3D static drop with serials of density ratios is numerically simulated. Using the consistent projection methods, the spurious currents can be greatly reduced and the pressure jump across the interface can be accurately captured without oscillations. The developed consistent projection method are also applied for simulation of interface evolution of an initial ellipse driven by the surface tension and of an initial sphere bubble driven by the buoyancy with good accuracy and good resolution.
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
Authors: Dirk Breitenreicher, Christoph Schnörr
Venue: Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2009)

Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applications. Key issues include accuracy of the registration, robustness with respect to outliers and initialization, and computational speed.In this paper, we consider objective functions for robust point registration without correspondence. We devise a numerical algorithm that fully exploits the intrinsic manifold geometry of the underlying Special Euclidean Group SE(3) in order to efficiently determine a local optimum. This leads to a quadratic convergence rate that compensates the moderately increased computational costs per iteration. Exhaustive numerical experiments demonstrate that our approach exhibits significantly enlarged domains of attraction to the correct registration. Accordingly, our approach outperforms a range of state-of-the-art methods in terms of robustness against initialization while being comparable with respect to registration accuracy and speed.
An Application of Martin-Löf Randomness to Effective Probability Theory
Authors: Mathieu Hoyrup, Cristóbal Rojas
Venue: Proceedings of the 5th Conference on Computability in Europe: Mathematical Theory and Computational Practice (2009)

In this paper we provide a framework for computable analysis of measure, probability and integration theories. We work on computable metric spaces with computable Borel probability measures. We introduce and study the framework of layerwise computability which lies on Martin-Löf randomness and the existence of a universal randomness test. We then prove characterizations of effective notions of measurability and integrability in terms of layerwise computability. On the one hand it gives a simple way of handling effective measure theory, on the other hand it provides powerful tools to study Martin-Löf randomness, as illustrated in a sequel paper.
Microsoft SQL Server 2008 Analysis Services, 1st edition
Authors: Scott Cameron
Venue:  (2009)

Teach yourself to use SQL Server 2008 Analysis Services for business intelligence one step at a time. You'll start by building your understanding of the business intelligence platform enabled by SQL Server and the Microsoft Office System, highlighting the role of Analysis Services. Then, you ll create a simple multidimensional OLAP cube and progressively add features to help improve, secure, deploy, and maintain an Analysis Services database. You'll explore core Analysis Services 2008 features and capabilities, including dimension, cube, and aggregation design wizards; a new attribute relationship designer; designer AMO warnings; and using dynamic management views to monitor resources. And as you complete each lesson, you can hone your skills using the practice exercises from the companion CD. Plus, you can review and download code samples illustrating the author s own, professional techniques direct from the companion Web site. 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
Health Promoting Leadership: The Mediating Role of an Organizational Health Culture
Authors: Jochen Gurt, Gabriele Elke
Venue: Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009 (2009)

Drawing from the findings within the safety literature, the present study identifies the effects of leadership on an organizational health culture and strain. The importance of leadership for the development of a corporate health culture is demonstrated as well as the positive effect of health culture on employee strain level. Empirical data from a longitudinal study in the German tax administration is presented. Leadership has a positive impact on the development of a corporate health culture, which in turn reduces employees' strain level. Discussion addresses the similarities of health and safety leadership regarding effects and mediating processes.
Implications of Participatory Design for a Wearable Near and Far Environment Awareness System (NaFEAS) for Users with Severe Visual Impairments
Authors: Si-Jung Kim, Tonya Smith-Jackson, Katherine Carroll, Minyoung Suh, Na Mi
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009 (2009)

This paper presents experiences from a study that included five users with Severe Visual Impairments (SVIs), fashion designers, and human factors engineers. We used participatory design (PD) to develop a wayfinding and object-recognition system. The PD study consisted of three sessions and was designed to include actual users in the design process. The primary goal of the PD was to validate the system concept and to determine the attributes of system interaction. Two of the three sessions are discussed here. We obtained several insights from a technological perspective, textile and apparel perspective, and user interface design perspective. Among the results identified, users with SVIs preferred to wear assistive technology unless that was not distracting to the participant or those that came into contact with the participant. Auditory feedback was chosen as a primary modality in user interface design, and we realized that constructing a good pool of PD members is essential to transform actual users' needs and requirements into the design process.
A Model-Based Scan Statistics for Detecting Geographical Clustering of Disease
Authors: Massimo Bilancia, Silvestro Montrone, Paola Perchinunno
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

The classical likelihood ratio spatial scan statistics has been widely used in spatial epidemiology for disease cluster detection. The question is whether the geographic incidence pattern is due to random fluctuations or the map reflects true underlying geographical variation due to etiologic risk factors. The hypothesis underlying the classic scan statistics assume that disease counts in different locations have independent Poisson distribution; unfortunately, outcomes in spatial units are often not independent of each other. Risk estimates of areas that are close to each other will tend to be positively correlated as they share a number of spatially varying characteristics. Ignoring the overdispersion caused by spatial autocorrelation leads to incorrect results. To overcome this difficulty, we propose a model-based approach adjusting for area-specific fixed-effects measuring potential effect modifiers, and for large-scale geographical variation of etiologic factors that vary continuously in space and are not expressly present within the model. We apply our methodology to the spatial distribution of lung cancer male mortality occurred in the province of Lecce, Italy, during the period 1992-2001.
Web-Based System Development for Usability Evaluation of Ubiquitous Computing Device
Authors: Jong Kyu Choi, Han Joon Kim, Beom Suk Jin, Yonggu Ji
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

Recently, with the development of electronic technology, information technology (IT) devices that satisfy user requirements, such as PMP (Portable Multimedia Player), PDA (Personal Data Assistant), UMPC (Ultra Mobile Personal Computer) and mobile phones have been developed. These devices are making wireless communication and network communication more accessible, and by the ubiquitous paradigm, provide accessibility of information everywhere. The appearance of these devices and the development of the technology are integrating and converging in the IT devices. Therefore, there are significant changes in the purpose and environment of IT device applications. This is due to the modification of the environment in which the device is used (not only in a passive state but also in a motional state), which has a greater influence on usability. Therefore, a new methodology is required to evaluate the usability of the devices. In previous studies, by gathering and integrating the usability factors and ubiquitous characteristics, the Ubiquitous Evaluation Factor was obtained. For each factor of ubiquitous devices, deconstruction was accomplished for each usability evaluation. Through this process, components of ubiquitous devices could be extracted. Evaluation scores of ubiquitous device components and the score of the evaluation of each usability factor could be obtained from the usability evaluation. This evaluation framework was developed as a Web-based system to let the users perform the usability evaluation without having trouble with the location. This system was developed in Windows Server 2003 Enterprise Edition platform. Web Server IIS (Internet Information Server) 6.0 was used, and MS-SQL 2000 was used for the database server. For development of language, ASP (Active Server Page) was used, which is run in IIS. This study is meaningful in that through a Web-based system, various people could easily access the device, and in that evaluation of a portion of the device as well as the entire device is possible.
Can You Feel It? --- Using Vibration Rhythms to Communicate Information in Mobile Contexts
Authors: Sebastian Feige
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Development of interfaces for interaction in mobile scenarios faces the challenge of a broad variety of different possible user contexts. New approaches are needed, which demand a minimum of attention in situations where the user is engaged in other mobility tasks. In this paper, the results of an experiment targeting the recognition of vibration rhythms in real world mobile situations are depicted, suggesting further research on tactile mobile interfaces.
Standardization for Smart Clothing Technology
Authors: Kwangil Lee, Yong Gu Ji
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Smart clothing is the next generation of apparel. It is a combination of new fabric technology and digital technology, which means that the clothing is made with new signal-transfer fabric technology installed with digital devices. Since this smart clothing is still under development, many problems have occurred due to the absence of the standardization of technology. Therefore, the efficiency of technology development can be strengthened through industrial standardization. This study consists of three phases. The first phase is selecting standardization factors to propose a standardization road map. The second phase is to research and collect related test evaluation methods of smart clothing. For this, we selected two categories, which are clothing and electricity/electron properties. The third phase is establishing a standardization road map for smart clothing. In this study, test evaluations have not yet been conducted and proved. However, this study shows how to approach standardization. We expect that it will be valuable for developing smart clothing technology and standardization in the future.
Automated Recognition of Wood Damages Using Artificial Neural Network
Authors: Dong Zhao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Quantitative analysis of wood damages, which influence the reliability and safety of wood structure, was studied by artificial neural networks. It was proved by experiment that three different degree damages of wood can be recognized by neural network in acoustic emission（AE） testingwhen reasonable neural network was chosen, efficient training case was constructed, reasonable parameter and training means were decided. The results showed that the artificial neural network has excellent non-linear ability of solution. And the method provides an efficient approach to the identification and quantification ofwood damages.
Efficiently Representing Existential Dependency Sets for Expansion-based QBF Solvers
Authors: Florian Lonsing, Armin Biere
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Given a quantified boolean formula (QBF) in prenex conjunctive normal form (PCNF), we consider the problem of identifying variable dependencies. In related work, a formal definition of dependencies has been suggested based on quantifier prefix reordering: two variables are independent if swapping them in the prefix does not change satisfiability of the formula. Instead of the general case, we focus on the sets of depending existential variables for all universal variables. This is relevant particularly for expansion-based QBF solvers. We present an approach for efficiently computing existential dependency sets by means of a directed connection relation over variables and demonstrate how this relation can be compactly represented as a tree using a union-find data structure. Experimental results show the effectiveness of our approach.
Evaluation of a Haptic-Based Interaction System for Virtual Manual Assembly
Authors: Monica Bordegoni, Umberto Cugini, Paolo Belluco, Marcello Aliverti
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

This paper describes a mixed reality application for the assessment of manual assembly of mechanical systems. The application aims at using low cost technologies and at the same time at offering an effective environment for the assessment of a typical task consisting of assembling two components of a mechanical system. The application is based on the use of a 6-DOF interaction device that is used for positioning an object in space, and a haptic interface that is closer to reality and is used for simulating the insertion of a second component into the first one while feeling a force feedback. The application has been validated by an expert user in order to identify the main usability and performance problems and improve its design.
Extracting social meaning: identifying interactional style in spoken conversation
Authors: Dan Jurafsky, Rajesh Ranganath, Dan McFarland
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Automatically extracting social meaning and intention from spoken dialogue is an important task for dialogue systems and social computing. We describe a system for detecting elements of interactional style: whether a speaker is awkward, friendly, or flirtatious. We create and use a new spoken corpus of 991 4-minute speed-dates. Participants rated their interlocutors for these elements of style. Using rich dialogue, lexical, and prosodic features, we are able to detect flirtatious, awkward, and friendly styles in noisy natural conversational data with up to 75% accuracy, compared to a 50% baseline. We describe simple ways to extract relatively rich dialogue features, and analyze which features performed similarly for men and women and which were gender-specific.
Rank-Sensitive Priority Queues
Authors: Brian C. Dean, Zachary H. Jones
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

We introduce the rank-sensitive priority queue -- a data structure that always knows the minimum element it contains, for which insertion and deletion take O(log(n/r)) time, with n being the number of elements in the structure, and r being the rank of the element being inserted or deleted (r = 1 for the minimum, r = n for the maximum). We show how several elegant implementations of rank-sensitive priority queues can be obtained by applying novel modifications to treaps and amortized balanced binary search trees, and we show that in the comparison model, the bounds above are essentially the best possible. Finally, we conclude with a case study on the use of rank-sensitive priority queues for shortest path computation.
Characteristics of Urban Non-Point Source Pollution in Suzhou City
Authors: Yongjing Tian, Tian Li, Shaoming He, Aicheng Zhong, Dan Zhao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Urban non-point source (NPS) pollution of Suzhou City in different land use was investigated from Nov. 2006 to Sep. 2008 in this paper. The results show that pollutants concentrations were very variable and dispersed for different sampling sites. The median values of Event Mean Concentrations (EMC) of COD, SS, NH3-N, TN and TP were 119-225, 93-188, 2.30-11.77, 6.35-19.56 and 0.8-2.7 mg/L, varied in different land use category, the corresponding pollution loads were 26112, 26721, 895, 1921 and 242 ton respectively, those were 0.4-1.7 times of the sanitary wastewater discharged into the watershed. It indicates the urban NPS pollution is the major factor for the urban river quality degradation. No significant strong first flush occurred in the studied watersheds for all the events. Generally, the first flush effect is weak in the storm runoff in Suzhou urban area.
A Human-Centered Model for Detecting Technology Engagement
Authors: James Glasnapp, Oliver Brdiczka
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

This paper proposes a human-centered engagement model for developing interactive media technology. The human-centered engagement model builds on previous interaction models for publicly located ambient displays. It is designed from ethnographic observation with the aim of informing technological innovation from the perspective of the user. The model will be presented along with technological mechanisms to detect human behavior with the aim of responsive media technology development.