ppxscal/embedding_network huggingface dataset:
Fast Implicit Simulation of Oscillatory Flow in Human Abdominal Bifurcation Using a Schur Complement Preconditioner
Authors: K. Burckhardt, D. Szczerba, J. Brown, K. Muralidhar, G. Székely
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

We evaluate a parallel Schur preconditioner for large systems of equations arising from a finite element discretization of the Navier-Stokes equations with streamline diffusion. The performance of the method is assessed on a biomedical problem involving oscillatory flow in a human abdominal bifurcation. Fast access to flow conditions in this location might support physicians in quicker decision making concerning potential interventions. We demonstrate scaling to 8 processors with more than 50% efficiency as well as a significant relaxation of memory requirements. We found an acceleration by up to a factor 9.5 compared to a direct sparse parallel solver at stopping criteria ensuring results similar to a validated reference solution.
Learners' acceptance of e-learning in South Korea: Theories and results
Authors: Byoung-Chan Lee, Jeong-Ok Yoon, In Lee
Venue: Computers Education (2009)

One of the most significant changes in the field of education in this information age is the paradigm shift from teacher-centered to learner-centered education. Along with this paradigm shift, understanding of students' e-learning adoption behavior among various countries is urgently needed. South Korea's dense student population and high educational standards made investment in e-learning very cost-effective. However, despite the fact that South Korea is one of the fastest growing countries in e-learning, not much of the research results have been known to the globalized world. By investigating critical factors on e-learning adoption in South Korea, our study attempts to fill a gap in the individual country-level e-learning research. Based on the extensive literature review on flow theory, service quality, and the Technology Acceptance Model, our study proposes a research model which consists of four independent variables (instructor characteristics, teaching materials, design of learning contents, and playfulness), two belief variables (perceived usefulness and perceived ease of use), and one dependent variable (intention to use e-learning). Results of regression analyses are presented. Managerial implications of the findings and future research directions are also discussed.
Decoding wikipedia categories for knowledge acquisition
Authors: Vivi Nastase, Michael Strube
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

This paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classification and organizing instances, and thus encode knowledge about class attributes, taxonomic and other semantic relations. We decode the names and refer back to the network to induce relations between concepts in Wikipedia represented through pages or categories. The category structure allows us to propagate a relation detected between constituents of a category name to numerous concept links. The results of the process are evaluated against ResearchCyc and a subset also by human judges. The results support the idea that Wikipedia category names are a rich source of useful and accurate knowledge.
EasyGenetic: A Template Metaprogramming Framework for Genetic Master-Slave Algorithms
Authors: Stefano Benedettini, Andrea Roli, Luca Gaspero
Venue: Proceedings of the Second International Workshop on Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics (2009)

We present EasyGenetic, a genetic solver based on template metaprogramming, that enables the user to configure the solver by instantiating template parameters. The framework allows to combine flexibility with efficiency. The framework is mainly designed to be applied to problems for which a master-slave solution strategy can be defined.
A Novel PID Controller Based on Immune Networks Model Utilizing Vector Distance
Authors: Meng-gang Sheng, Hui-xian Huang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

To solve conflicts between track and restrain disturbance，robustness and control performance，the Immune Genetic Algorithms (IGA) PID controller based on information entropy is used. Nevertheless, this method needs complexcalculation. Its constants are determined by experience andredundant information will slow the speed of convergence. In this paper, a novel PID controller based on immune networks model utilizing vector distance (IGAVD-PID) is proposed. The new method, which calculates the antibody consistence using vector distance and optimizes the parameters of PID, can reduce search space of solution group and avoid redundant calculation information or repeated calculating because the fitness function of solution is corresponded directly with antibodies. Therefore, the convergence of PID is faster. TheIGAVD-PID controller is applied into a second order inertial element with time lag system to evaluate the adaptation and robustness of new method. And the simulation results show the new controller improves the performance of convergent speed，global stability and robustness of the PID controller significantly.
Measurement and Error Analysis on Embed Heat Flux Sensor
Authors: Jian Sun, Liang Chen, Yaqiong Fu, Zhishang Cui, Le Chen
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

The basic principle of embed-in-wall heat flux sensor as well as its structure and manufacturing are introduced in this paper. And the flux distribution of embed-in-wall heat flux sensor and its deviation are analyzed. The concept of isolation layer is proposed. The introduction of isolation layer has important significance to improve the measurement accuracy of heat flux sensor.
A Rewrite Stack Machine for ROC!
Authors: Georgiana Caltais, Eugen-Ioan Goriac, Dorel Lucanu, Gheorghe Grigoras
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

\ROC is a deterministic rewrite strategy language which includes the rewrite rules as basic operators, and the deterministic choice and the repetition as high-level strategy operators. In this paper we present a method which, for a given term rewriting system (TRS) \mathbf{R}$, constructs a new TRS $\overline{\mathbf{R}}$ such that $\overline{\mathbf{R}}$-rewriting is equivalent (sound and complete) with $\mathbf{R}$-rewriting constrained by \ROC. Since $\overline{\mathbf{R}}$ uses a stack, it is called a \emph{rewrite stack machine}.
Application and Research of Human-Simulated Intelligent Controller in Vacuum Shaping Machine
Authors: Zhu Qinghui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The author has discussed the principle of human-simulated intelligent controller (HSIC) and it’s application in vacuum shaping machine. The improved HSIC compensates and consumes the system according to different conditions combined by error and error change rate. Because the parameter tuning of HSIC is completed in programmable logic controller, the control strategy of HSIC is simple than that of PID algorithm and the system response speed is more quickly. The author suggests that the parameters of HSIC should be optimized to decrease the complex degree of parameter tuning process and to reduce system overshoot dramatically.
Ship Manipulation Evaluation System
Authors: Qingyang Xu, Xianyao Meng, Ning Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

The security of maritime traffic is a significant part of intelligent maritime traffic. It can reduce to ship manipulation and collision avoidance by macroscopic. Eighty percents of marine accident induce by human factor from research data. So some researches about computer evaluation system inducted to ship manipulation and collision avoidance to reduce the accident of human caused. Evaluation system of ship manipulation will calculate the statement of ship and getting the data of ship around, then adopt fuzzy comprehensive evaluation method to calculate the collision risk, and evaluate the operation of mariner. If it has collision risk or the navigator adopts irrational operation scheme by calculating, the system will send message to the navigator. The navigator must affirm the messages, if there is not affirmance, the system will adopt collision avoidance measures and other rational operations automatically at the critical moment.
A Relational Model of Polish Inflection in Grammatical Dictionary of Polish
Authors: Marcin Woliński
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

The subject of this article is a description of Polish inflection in the form of a relational database. The description has been developed for a grammatical dictionary of Polish that aims at complete inflectional characterisation of all Polish lexemes.We show some complexities of the Polish inflectional system for various grammatical classes. Then we present a relatively compact relational model which can be used to describe Polish inflection in a uniform way.
An effective discourse parser that uses rich linguistic information
Authors: Rajen Subba, Barbara Di Eugenio
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

This paper presents a first-order logic learning approach to determine rhetorical relations between discourse segments. Beyond linguistic cues and lexical information, our approach exploits compositional semantics and segment discourse structure data. We report a statistically significant improvement in classifying relations over attribute-value learning paradigms such as Decision Trees, RIPPER and Naive Bayes. For discourse parsing, our modified shift-reduce parsing model that uses our relation classifier significantly outperforms a right-branching majority-class baseline.
Design and Implementation of Welding with Electromagnetic Trailing Peening Control Circuit
Authors: Meijiu Lu, Yuejin Ma, Jianguo Zhao, Jianchang Li, Jianjun Hao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

In order to eliminate welding stress and improve the quality of welding.The technology of constant frequency pulse width modulation (PWM) is applied in the design of control circuit of welding with trailing peening.AT89C52 is the core of the circuit.This systemby the BCD dial provide reference voltage to the single-chip,by controlling the device of trailing peening to achieve the controlling of peening force. By changing the input voltage of V/F voltage frequency converter LM331 to achieve adjusting of peening frequency.The experiment has proved that circuit is reliable, and easy to achieve self-governed adjusting of peening force and peening frequency in welding.
Construction of the Data Save System of the Cusp Surface Analysis Using Web Application
Authors: Yasufumi Kume, Jee Seob Seo
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

This paper describes cusp surface analysis system constructed to examine the effectiveness of the program on a web server. According to operating on the web server of cusp surface analysis, client can easily use a cusp surface analysis program without a preparing for an analysis program or the system environment etc. And the paper also examine characteristic of the human visual perception using 315 kinds of ambiguous figures. As the results of the experiments, the cusp catastrophe phenomenon occurs as kinds of the ambiguous figures and the levels of detail figures in human visual perception.
A Resource-Estimated Call Admission Control Algorithm in 3GPP LTE System
Authors: Sueng Jae Bae, Jin Ju Lee, Bum-Gon Choi, Sungoh Kwon, Min Young Chung
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

As the evolution of high speed downlink packet access (HSDPA), long-term evolution (LTE) has being standardized by the 3rd generation partnership project (3GPP). In the existing mobile communication networks, voice traffic is delivered through circuit-switched networks, but to the contrary in LTE, all kinds of traffic are transferred through packet-switched networks based on IP. In order to provide quality of service (QoS) in wireless networks, radio resource management (RRM) is very important. To reduce network congestion and guarantee certain level of QoS for on-going calls, call admission control (CAC), in part of RRM, accepts or rejects service requests. In this paper, we proposed resource-estimated CAC algorithm and evaluated the performance of the proposed CAC algorithm. The result shows that the proposed algorithm can maximize PRB utilization and guarantee certain level of QoS.
A Distributed Algorithm for Critical Area Detection in Satellite Imagery
Authors: Razvan Alecsandrescu, Florin Pop, Valentin Cristea
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

This paper presents a distributed algorithm for critical area detection in satellite imagery. The detection of critical area is very important in natural disaster detection and control. The algorithm uses the distributed change detection methods for multiple spectral bands in satellite images and combines changes which have appeared during a period of time. The result shows a critical area for analyzed time interval. The algorithm is distributed for support a large amount of data. The distributed approach shows a decrease in processing time with the increase of the number of workers. The presented algorithm represents a component from MedioGRID system, which implemented a real-time satellite image processing system for extracting relevant environmental and meteorological parameters on Grid systems. The critical area detection application will be integrated in Grid environments.
Physical gaming: Out of the lap and into the living room
Authors: Diarmid Campbell
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

Diarmid Campbell talks about camera based games such as those using the EyeToy and, more recently, the PlayStation Eye camera. He looks at the many different techniques that can applied to analysing video images and how to use them as a game input mechanism. For each technique, he explains how it works, ways in which it can be used and, more importantly, where it can fail. The presentation is illustrated with plenty of videos and live demos to keep you awake. It looks at techniques from past games but also those from games currently in development and finishes with what lies on the horizon.
Comments on "Notes on triple I method of fuzzy reasoning"
Authors: Xue-hai Yuan, E. Stanley Lee
Venue: Computers Mathematics with Applications (2009)

In this article, we will show that (1) the results about the triple I method for fuzzy reasoning obtained in the paper ''Computers and Mathematics with Applications 44 (2002) 1567-1579'' are correct; (2) Example 2.1 in the paper ''Notes on triple I method of fuzzy reasoning'' presented by Hua-wen Liu is incorrect; (3) @a(u,v)-triple I method presented by Liu is a generalization of @a-triple I method.
Learning to Make Facial Expressions
Authors: Tingfan Wu, Nicholas J. Butko, Paul Ruvulo, Marian S. Bartlett, Javier R. Movellan
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

This paper explores the process of self-guided learning of realistic facial expression production by a robotic head with 31 degrees of freedom. Facial motor parameters were learned using feedback from real-time facial expression recognition from video. The experiments show that the mapping of servos to expressions was learned in under one-hour of training time. We discuss how our work may help illuminate the computational study of how infants learn to make facial expressions.
Generating referential descriptions in multimedia environments
Authors: Helmut Horacek
Venue: Referring Phenomena in a Multimedia Context and their Computational Treatment (1997)

All known algorithms dedicated to the generation of referential descriptions use natural language alone to accomplish this communicative goal. Motivated by some limitations underlying these algorithms and the resulting restrictions in their scope, we attempt to extend the basic schema of these procedures to multimedia environments, that is, to descriptions consisting of images and text. We discuss several issues in this enterprise, including the transfer of basic ingredients to images and the hereby reinterpretation of language-specific concepts, matters of choice in the generation process, and the extended application potential in some typical scenarios. Moreover, we sketch our intended area of application, the identification of a particular object in the large visualization of mathematical proofs, which has some characteristic properties of each of these scenarios. Our achievement lies in extending the scope of techniques for generating referential descriptions through the incorporation of multimedia components and in enhancing the application areas for these techniques.
Incrementality in syntactic processing: computational models and experimental evidence: keynote talk
Authors: Patrick Sturt
Venue: Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (2004)

It is a well-known intuition that human sentence understanding works in an incremental fashion, with a seemingly constant update of the interpretation through the left-to-right processing of a string. Such intuitions are backed up by experimental evidence dating from at least as far back as Marslen-Wilson (1973), showing that under many circumstances, interpretations are indeed updated very quickly. From a parsing point of view it is interesting to consider the structure-building processes that might underlie incremental interpretation---what kinds of partial structures are built during sentence processing, and with what time-course? In this talk I will give an overview of the state-of-the-art of experimental psycholinguistic research, paying particular attention to the time-course of structure-building. The discussion will focus on a new line of research (some as yet unpublished) in which syntactic phenomena such as binding relations (e.g., Sturt, 2003) and unbounded dependencies (e.g., Aoshima, Phillips, & Weinberg, in press) are exploited to make a very direct test of the availability of syntactic structure over time. The experimental research will be viewed from the perspective of a space of computational models, which make different predictions about time-course of structure building. One dimension in this space is represented by the parsing algorithm used: For example, within the framework of Generalized Left Corner Parsing (Demers, 1977), algorithms can be characterized in terms of the point at which a context-free rule is recognized, in relation to the recognition-point of the symbols on its right-hand side. Another relevant dimension is represented by the type of grammar formalism that is assumed. For example, with bottom-up parsing algorithms, the degree to which structure-building is delayed in right-branching structures depends heavily on whether we employ a traditional phrase-structure formalism with rigid constituency, or a cateogorial formalism with flexible constituency (e.g., Steedman, 2000). I will argue that the evidence is incompatible with models which predict systematic delays in the construction of syntactic structure. In particular, I will argue against both head-driven strategies (e.g., Mulders, 2002), and purely bottom-up parsing strategies, even when flexible constituency is employed. Instead, I will argue that to capture the data in the most parsimonious way, we should turn our attention to those models in which a fully connected syntactic structure is maintained throughout the processing of a string.
Collaboration and abstract representations: towards predictive models based on raw speech and eye-tracking data
Authors: Marc-Antoine Nüssli, Patrick Jermann, Mirweis Sangin, Pierre Dillenbourg
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

This study aims to explore the possibility of using machine learning techniques to build predictive models of performance in collaborative induction tasks. More specifically, we explored how signal-level data, like eye-gaze data and raw speech may be used to build such models. The results show that such low level features have effectively some potential to predict performance in such tasks. Implications for future applications design are shortly discussed.
Neural correlates of metamemory: A comparison of feeling-of-knowing and retrospective confidence judgments
Authors: Elizabeth F. Chua, Daniel L. Schacter, Reisa A. Sperling
Venue: Journal of Cognitive Neuroscience (2009)

Metamemory refers to knowledge and monitoring of one's own memory. Metamemory monitoring can be done prospectively with respect to subsequent memory retrieval or retrospectively with respect to previous memory retrieval. In this study, we used fMRI to compare neural activity during prospective feeling-of-knowing and retrospective confidence tasks in order to examine common and distinct mechanisms supporting multiple forms of metamemory monitoring. Both metamemory tasks, compared to non-metamemory tasks, were associated with greater activity in medial prefrontal, medial parietal, and lateral parietal regions, which have previously been implicated in internally directed cognition. Furthermore, compared to non-metamemory tasks, metamemory tasks were associated with less activity in occipital regions, and in lateral inferior frontal and dorsal medial prefrontal regions, which have previously shown involvement in visual processing and stimulus-oriented attention, respectively. Thus, neural activity related to metamemory is characterized by both a shift toward internally directed cognition and away from externally directed cognition. Several regions demonstrated differences in neural activity between feeling-of-knowing and confidence tasks, including fusiform, medial temporal lobe, and medial parietal regions; furthermore, these regions also showed interaction effects between task and the subjective metamemory rating, suggesting that they are sensitive to the information monitored in each particular task. These findings demonstrate both common and distinct neural mechanisms supporting metamemory processes and also serve to elucidate the functional roles of previously characterized brain networks.