ppxscal/embedding_network huggingface dataset:
Towards a prototyping tool for behavior oriented authoring of conversational agents for educational applications
Authors: Gahgene Gweon, Jaime Arguello, Carol Pai, Regan Carey, Zachary Zaiss, Carolyn Rosé
Venue: Proceedings of the second workshop on Building Educational Applications Using NLP (2005)

Our goal is to develop tools for facilitating the authoring of conversational agents for educational applications, and in particular to enable non-computational linguists to accomplish this task efficiently. Such a tool would benefit both learning researchers, allowing them to study dialogue in new ways, and educational technology researchers, allowing them to quickly build dialogue based help systems for tutoring systems. We argue in favor of a user-centered design methodology. We present our work-in-progress design for authoring, which is motivated by our previous tool development experiences and preliminary contextual interviews and then refined through user testing and iterative design.
"Where Did I Put That?" --- Effectiveness of Kinesthetic Memory in Immersive Virtual Environments
Authors: Achim Ebert, Matthias Deller, Daniel Steffen, Matthias Heintz
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Kinesthetic memory is an essential factor in human interaction with the outside world. It helps adept keyboard users to type rapidly and hit the keys without having to look at them. It enables musicians to play their instruments without consciously having to think about the necessary movements. And it can help people to find things again, based on the location where they put them. The benefits of kinesthetic memory in the physical world are well known and well used for training or in physical therapy. Yet little effort has been made to examine the effects of kinesthetic memory in a virtual environment. In our paper, we present a user study designed to explore the intensity of kinesthetic memory while interacting with a large screen immersive environment. This could be used to improve the usability and effectiveness of user interfaces for such environments.
Impact of Healthcare Information Technology Systems on Patient Safety
Authors: Byung Cheol Lee, Vincent G. Duffy
Venue: Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009 (2009)

Even though healthcare information systems have been introduced as a viable solution for reducing adverse drug events or medical errors, the current adoption rate is low and impact of system on patient safety and quality of care is not established well. To solve this problem, a new research framework with interdisciplinary approaches is suggested. The framework is based on two major characteristics of a healthcare IT system: effectiveness and efficiency. The former connects to patient safety and quality of care, and the latter is related with resources and design of the system. The framework is mainly grounded in human factors engineering, and includes psychology, systems and safety engineering, and an information systems approach.
User Needs of Mobile Phone Wireless Search: Focusing on Search Result Pages
Authors: Yeon Ji Kim, Sun Ju Jeon, Min Jeong Kim
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

Based on understanding differences between wired and wireless search, we analyzed user needs for mobile phone wireless search. According to this research, heavy wireless search users produce more traffic searching for information than searching for downloadable contents. Through several usability tests, we can get some design guidelines for wireless search result page. Users require different results and presentation for the results of general information keyword searches to media contents keyword searches. Users preferred representative labelling of categories. In addition, it is essential to minimize navigation of the search results.
Grammatical role labeling with integer linear programming
Authors: Manfred Klenner
Venue: Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations (2006)

In this paper, we present a formalization of grammatical role labeling within the framework of Integer Linear Programming (ILP). We focus on the integration of subcategorization information into the decision making process. We present a first empirical evaluation that achieves competitive precision and recall rates.
A Cartesian Embedded Boundary Method for the Compressible Navier-Stokes Equations
Authors: Marco Kupiainen, Björn Sjögreen
Venue: Journal of Scientific Computing (2009)

We here generalize the embedded boundary method that was developed for boundary discretizations of the wave equation in second order formulation in Kreiss et al. (SIAM J. Numer. Anal. 40(5):1940---1967, 2002) and for the Euler equations of compressible fluid flow in Sjögreen and Peterson (Commun. Comput. Phys. 2:1199---1219, 2007), to the compressible Navier-Stokes equations. We describe the method and we implement it on a parallel computer. The implementation is tested for accuracy and correctness. The ability of the embedded boundary technique to resolve boundary layers is investigated by computing skin-friction profiles along the surfaces of the embedded objects. The accuracy is assessed by comparing the computed skin-friction profiles with those obtained by a body fitted discretization.
Protecting Data Privacy in Structured P2P Networks
Authors: Mohamed Jawad, Patricia Serrano-Alvarado, Patrick Valduriez
Venue: Proceedings of the 2nd International Conference on Data Management in Grid and Peer-to-Peer Systems (2009)

P2P systems are increasingly used for efficient, scalable data sharing. Popular applications focus on massive file sharing. However, advanced applications such as online communities (e.g., medical or research communities) need to share private or sensitive data. Currently, in P2P systems, untrusted peers can easily violate data privacy by using data for malicious purposes (e.g., fraudulence, profiling). To prevent such behavior, the well accepted Hippocratic database principle states that data owners should specify the purpose for which their data will be collected. In this paper, we apply such principles as well as reputation techniques to support purpose and trust in structured P2P systems. Hippocratic databases enforce purpose-based privacy while reputation techniques guarantee trust. We propose a P2P data privacy model which combines the Hippocratic principles and the trust notions. We also present the algorithms of PriServ, a DHT-based P2P privacy service which supports this model and prevents data privacy violation. We show, in a performance evaluation, that PriServ introduces a small overhead.
Detection of Non-convex Objects by Dynamic Programming
Authors: Andree Große, Kai Rothaus, Xiaoyi Jiang
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

In this work we present the Rack algorithm for the detection of optimal non-convex contours in an image. It represents a combination of an user-driven image transformation and dynamic programming. The goal is to detect a closed contour in a scene based on the image's edge strength. For this, we introduce a graph construction technique based on a "rack" and derive the image as a directed acyclic graph (DAG). In this graph, the shortest path with respect to an adequate cost function can be calculated efficiently via dynamic programming. Results demonstrate that this approach works well for a certain range of images and has big potential for most other images.
Biomimetic Electronic Tongue for Classification of Mineral Water
Authors: Hong Men, Zongnian Ge, Yuming Guo, Lingfei An, Yan Peng
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Electronic Tongue is a kind of intelligent equipment which is used to distinguish tastes. An electronic tongue made by a sensor array of ion-selective electrodes (ISE) has been developed and used for the qualitative analysis of five different kinds of mineral waters. The acquired original data has been optimized by independent component analysis (ICA) and Linear Discriminant analysis (LDA), and then the learning vector quantization (LVQ) model was designed to classify different mineral waters. The application results show that the performance of the proposed method has surpasses the traditional Self-organizing Map (SOM) algorithm, can improve convergence and the learning capability of the network, and give the Electronic Tongue a higher aggregate classification rate.
Self Care System to Assess Cardiovascular Diseases at Home
Authors: Elena Villalba, Ignacio Peinado, María Teresa Arredondo
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

CUORE is a Heart Failure (HF) Disease Assessment System that uses Information Technologies (IT) and portable monitoring devices, for to assess and to manage the HF progression. The system valuates the cardiac condition integrating patient data from different sources such as blood pressure cuff or questionnaires. Rather than just evaluate the cardiovascular status, the system also aims to motivate patients to have an active role in their health management and to improve their cardiac condition through an active lifestyle. This paper presents the CUORE validation with patients and professionals.
Algorithm for Control Dependence Subgraph Construction
Authors: Chen Duanzhi
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Program slicing provides a new way to software maintenance, program understanding. It can give the programmer the statements only relevant to the computation of a given function. It can transform a large program into a smaller one. In this paper, we present a new algorithm to produce Control Dependence SubGraph which is used in Program slicing. The Control Dependence SubGraph is used to collect the control dependence of the statements. The Data Dependence Subgraph is used to collect the data dependence of the statements. With these two subgraphs we can construct the Program Dependence Graph and compute the program slice through traversing the Program Dependence Graph. The algorithm uses an input called F(p) which models each program in the form of an algebraic expression.
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
Authors: Daniel Arias-Aranda, Juan L. Castro, Maria Navarro, José M. Zurita
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Changing environments are driving firms towards the development of new techniques for the decision making process in order to fit rapidly with alterations and adjustments of the market. In this context, the relationship between operations strategy and flexibility plays a fundamental role for increasing performance goals. For this reason, this paper presents a Fuzzy Probabilistic Case-based reasoning (FP-CBR) system which studies the relationship between flexibility and operations strategy in a real sample of engineering consulting firms in Spain. The objective is to develop a framework of analysis based on CBR and fuzzy logic whose accuracy is measured in order to assess scientific evidence to the conclusions. In order to help manager to make decisions about the firms.
Understanding the capacity region of the Greedy maximal scheduling algorithm in multihop wireless networks
Authors: Changhee Joo, Xiaojun Lin, Ness B. Shroff
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

In this paper, we characterize the performance of an important class of scheduling schemes, called greedy maximal scheduling (GMS), for multihop wireless networks. While a lower bound on the throughput performance of GMS has been well known, empirical observations suggest that it is quite loose and that the performance of GMS is often close to optimal. In this paper, we provide a number of new analytic results characterizing the performance limits of GMS. We first provide an equivalent characterization of the efficiency ratio of GMS through a topological property called the local-pooling factor of the network graph. We then develop an iterative procedure to estimate the local-pooling factor under a large class of network topologies and interference models. We use these results to study the worst-case efficiency ratio of GMS on two classes of network topologies. We show how these results can be applied to tree networks to prove that GMS achieves the full capacity region in tree networks under the K-hop interference model. Then, we show that the worst-case efficiency ratio of GMS in geometric unit-disk graphs is between 1/6 and 1/3.
Model Selection Method for AdaBoost Using Formal Information Criteria
Authors: Daisuke Kaji, Sumio Watanabe
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

AdaBoost is being used widely in information systems, artificial intelligence and bioinformatics, because it provides an efficient function approximation method. However, AdaBoost does not employ either the maximum likelihood method or Bayes estimation, and hence its generalized performance is not yet known. Therefore an optimization method for the minimum generalization error has not yet been established. In this paper, we propose a new method to select an optimal model using formal information criteria, AIC and BIC. Although neither AIC nor BIC theoretically corresponds to the generalization error in AdaBoost, we show experimentally that an optimal model can be chosen by formal AIC and BIC.
SoundTag: RFID Based Wearable Computer Play Tool for Children
Authors: Ryoko Ueoka, Hiroki Kobayashi, Michitake Hirose
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

Societal demographics inform that the number of children is decreasing. Also there is a shortage of playgrounds around urban areas. These are factors that tend to influence the time children spend outdoors playing with friends. The decrease of outside playing time is unfortunate for children since outdoor activities contribute to children's well-being and development in ways that are not addressed by academic learning. Although there are many social reasons having decreased outside playing time, technological advancement such as television or computer games are considered to be one of the factors. However the authors suggest that the technological advancement is not the reason to cause this tendency. The trend of current computer games induces players doing physical activities indoors. In this study, we take the advantage of technological advancement into positive effect to motivate children playing outdoors. We propose SoundTag, which is a wearable computer prototype system to motivate them to play outside. It employs RFID tag and reader into wears to realize interactive play with sound feedback.In this paper, we present the SoundTag concept, design theory and two types of wearable system and experiments. the first SoundTag system was applied to a play scenario, which is an enhanced version of a `tag' game. We performed a pilot experiment partnered with children (from 5 years old to 10 years old) to observe how SoundTag affected playfulness. Playfulness is discussed from the observation of children while playing it and the comments from their parents after the experiment. Followed by the observations of the first experiment, the second version of the SoundTag system is deployed and is applied to the outdoor sound collection game.
Technology for supporting web information search and learning in Sign Language
Authors: Inmaculada Fajardo, Markel Vigo, Ladislao Salmerón
Venue: Interacting with Computers (2009)

Sign Languages (SL) are underrepresented in the digital world, which contributes to the digital divide for the Deaf Community. In this paper, our goal is twofold: (1) to review the implications of current SL generation technologies for two key user web tasks, information search and learning and (2) to propose a taxonomy of the technical and functional dimensions for categorizing those technologies. The review reveals that although contents can currently be portrayed in SL by means of videos of human signers or avatars, the debate about how bilingual (text and SL) versus SL-only websites affect signers' comprehension of hypertext content emerges as an unresolved issue in need of further empirical research. The taxonomy highlights that videos of human signers are ecological but require a high-cost group of experts to perform text to SL translations, video editing and web uploading. Avatar technology, generally associated with automatic text-SL translators, reduces bandwidth requirements and human resources but it lacks reliability. The insights gained through this review may enable designers, educators or users to select the technology that best suits their goals.
Tagging Urdu text with parts of speech: a tagger comparison
Authors: Hassan Sajjad, Helmut Schmid
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

In this paper, four state-of-art probabilistic taggers i.e. TnT tagger, TreeTagger, RF tagger and SVM tool, are applied to the Urdu language. For the purpose of the experiment, a syntactic tagset is proposed. A training corpus of 100,000 tokens is used to train the models. Using the lexicon extracted from the training corpus, SVM tool shows the best accuracy of 94.15%. After providing a separate lexicon of 70,568 types, SVM tool again shows the best accuracy of 95.66%.
On the determination of Poisson&#x2019;s ratio of stressed monolayer and bilayer submicron thick films
Authors: P. Martins, C. Malhaire, S. Brida, D. Barbier
Venue: Microsystem Technologies (2009)

In this paper, the bulge test is used to determine the mechanical properties of very thin dielectric membranes. Commonly, this experimental method permits to determine the residual stress (&#x03c3;0) and biaxial Young&#x2019;s modulus (E/(1&#x00a0;&#x2212;&#x00a0;&#x03c5;)). Associating square and rectangular membranes with different length to width ratios, the Poisson&#x2019;s ratio (&#x03c5;) can also be determined. LPCVD Si3N4 monolayer and Si3N4/SiO2 bilayer membranes, with thicknesses down to 100&#x00a0;nm, have been characterized giving results in agreement with literature for Si3N4, E&#x00a0;=&#x00a0;212&#x00a0;&#x00b1;&#x00a0;14&#x00a0;GPa, &#x03c3;0&#x00a0;=&#x00a0;420&#x00a0;&#x00b1;&#x00a0;8&#x00a0;MPa and &#x03c5;&#x00a0;=&#x00a0;0.29.
Optimal exponential synchronization of general chaotic delayed neural networks: An LMI approach
Authors: Meiqin Liu
Venue: Neural Networks (2009)

This paper investigates the optimal exponential synchronization problem of general chaotic neural networks with or without time delays by virtue of Lyapunov-Krasovskii stability theory and the linear matrix inequality (LMI) technique. This general model, which is the interconnection of a linear delayed dynamic system and a bounded static nonlinear operator, covers several well-known neural networks, such as Hopfield neural networks, cellular neural networks (CNNs), bidirectional associative memory (BAM) networks, and recurrent multilayer perceptrons (RMLPs) with or without delays. Using the drive-response concept, time-delay feedback controllers are designed to synchronize two identical chaotic neural networks as quickly as possible. The control design equations are shown to be a generalized eigenvalue problem (GEVP) which can be easily solved by various convex optimization algorithms to determine the optimal control law and the optimal exponential synchronization rate. Detailed comparisons with existing results are made and numerical simulations are carried out to demonstrate the effectiveness of the established synchronization laws.
Deconstructing B-Trees Using Upshoot and Cooperative Algorithms
Authors: Jiang Zhengzheng, Yong Huang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Many system administrators would agree that, had it not been for cooperative algorithms, the simulation of link-level acknowledgements might never have occurred. While this outcome is mostly a natural mission, it has ample historical precedence. In our research, we disconfirm the visualization of the look aside buffer, which embodies the private principles of hardware and architecture. Upshoot, our new methodology for perfect theory, is the solution to all of these problems.
Semantic Search --- Using Graph-Structured Semantic Models for Supporting the Search Process
Authors: Thanh Tran, Peter Haase, Rudi Studer
Venue: Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies (2009)

Semantic search attempts to go beyond the current state of the art in information access by addressing information needs on the semantic level, i.e. considering the meaning of users' queries and the available resources. In recent years, there have been significant advances in developing and applying semantic technologies to the problem of semantic search. To collate these various approaches and to try to better understand what the concept of semantic search entails, we describe semantic search from a process perspective. We argue that semantics can be exploited in all steps of this process. We describe the elements involved in the process using graph-structured, semantic models and present our existing work on semantic search in terms of this process.
Feature Extraction, Feature Selection and Classification from Electrocardiography to Emotions
Authors: Chang-wei Ma, Guang-yuan Liu
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Electrocardiography (ECG) is one of the most important physiological signals, whose changes can reflect the changes in emotional states in some degree. Raw ECG data were recorded when film clips were used to elicit target emotions (joy and sadness) of multiple subjects. Wavelet transform was applied to accurately detect QRS complex for its advantages on time-frequency localization, in order to extract features from raw ECG signals. A method of feature selection based on Ant Colony System (ACS), using K-nearest neighbor for emotion classification, was introduced to obtain higher recognition rate and effective feature subset.
New Results on Visibility in Simple Polygons
Authors: Alexander Gilbers, Rolf Klein
Venue: Proceedings of the 11th International Symposium on Algorithms and Data Structures (2009)

We show that (A), 14 points on the boundary of a Jordan curve, and (B), 16 points in convex position encircled by a Jordan curve, cannot be shattered by interior visibility domains. This means that there always exists a subset of the given points, for which no point of the curve's interior domain sees all points of the subset and no point of its complement. As a consequence, we obtain a new result on guarding art galleries. If each point of the art gallery sees at least an r-th part of the gallery's boundary, then the art gallery can be covered by 13 ·C ·r logr guards placed on the boundary. Here, C is the constant from the ¿-net theorem.