ppxscal/embedding_network huggingface dataset:
Building a Practical Multimodal System with a Multimodal Fusion Module
Authors: Yong Sun, Yu (David) Shi, Fang Chen, Vera Chung
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques (2009)

A multimodal system is a system equipped with a multimodal interface through which a user can interact with the system by using his/her natural communication modalities, such as speech, gesture, eye gaze, etc. To understand a user's intension, multimodal input fusion, a critical component of a multimodal interface, integrates a user's multimodal inputs and finds the combined semantic interpretation of them. As powerful, yet affordable input and output technologies becoming available, such as speech recognition and eye tracking, it becomes possible to attach recognition technologies to existing applications with a multimodal input fusion module; therefore, a practical multimodal system can be built. This paper documents our experience about building a practical multimodal system with our multimodal input fusion technology. The pilot study has been conducted over the multimodal system. By outlining observations from the pilot study, the implications on multimodal interface design are laid out.
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
Authors: David Peidro, Josefa Mula, Raúl Poler, José-Luis Verdegay
Venue: Fuzzy Sets and Systems (2009)

In today's global marketplace, individual firms do not compete as independent entities rather as an integral part of a supply chain. This paper proposes a fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties. The model has been formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers. The fuzzy model provides the decision maker with alternative decision plans for different degrees of satisfaction. This proposal is tested by using data from a real automobile supply chain.
Reduced uncertainty through human communication in complex environments
Authors: Bj&#x00f6;rn J. E. Johansson, Per-Arne Persson
Venue: Cognition, Technology and Work (2009)

This paper describes and analyzes the central role of human&#x2013;human communication in a dynamic, high-risk environment. The empirical example is a UN peace-enforcing and peace-keeping operation where uncertainty about the situation in the environment and about the own organization&#x2019;s capability was intertwined, requiring extensive control activities and, hence, special attention to communication between humans. Theoretically, focus lays on what efficient communication means, how to understand and use social relations, and use technology when making socio-technical systems also cooperative systems. We conclude that &#x201c;control&#x201d; largely is based on the ability to communicate and that efficient human&#x2013;human communication is grounded in relations between individuals, which preferably should be based on physical meetings. Uncertainty, and how humans cope with it through interpersonal communication, is exemplified and discussed. In theoretical terms, relating the study to systems science and its application in organizational life and cognitive engineering, the case illustrates that an organization is not only an economy but also an adaptive social structure. But neither cognition nor control is an end state. The organization&#x2019;s raison d&#x2019;&#x00ea;tre in this kind of operation is cooperation rather than confrontation. Its use of force is strictly regulated by Rules of Engagement (ROE). In the organization, strong emotions may govern, interpersonal trust can be established and rule-sets for further cooperation established. Without considering the power of such aspects, economical rationality and detached cognitive thinking may end up in perfect, but less relevant, support technologies where people act in roles rather than as wholes.
Matching readers' preferences and reading skills with appropriate web texts
Authors: Eleni Miltsakaki
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Demonstrations Session (2009)

This paper describes Read-X, a system designed to identify text that is appropriate for the reader given his thematic choices and the reading ability associated with his educational background. To our knowledge, Read-X is the first web-based system that performs real-time searches and returns results classified thematically and by reading level within seconds. To facilitate educators or students searching for reading material at specific reading levels, Read-X extracts the text from the html, pdf, doc, or xml format and makes available a text editor for viewing and editing the extracted text.
An Energy-efficient Broadcast Control Protocol for Wireless Sensor Networks
Authors: Bin Zeng, Lu Yao, YongQian He
Venue: Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage (2009)

Compared with fixed networks, broadcasting from base station to nodes is very important for the wireless networks in the cases such as distributing secure keys in the network or delivering control commands to nodes. However, the sparse distribution and limited resource of nodes bring difficulties to the efficient broadcast in wireless sensor networks. An energy-efficient broadcast control protocol is proposed to build a limited-node broadcast tree so that the broadcast storm can be relieved and the network lifetime can be prolonged. Firstly, through the wave of neighbor discovery packets, each node learns its one-hop neighbor. In order to reduce the retransmission numbers and energy overhead, a well-designed forwarder selection protocol is proposed based on the node coverage and neighbor number in the construction of broadcast tree. Furthermore, a tree pruning algorithm is designed to decrease the duplicate coverage. Simulation results show the protocol can save significant energy over flooding without sacrificing the coverage and reachability.
Support Vector Machine Based on Universal Kernel Function and Its Application in Quantitative Structure - Toxicity Relationship Model
Authors: Zheng Qifu, Huang Haifeng, Zhang Youzheng, Su Guodong
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Comparing with traditional statistical modeling methods, support vector machine (SVM) has much advantage for solving regression and classification problems. For nonlinear regression, the kernel function of SVM transforms the nonlinear input space into a high dimensional feature space in which the solution of the problem can be represented as being a linear regression problem. Therefore, in all probability the performance of SVM models is decided by the kernel function, and choosing a proper kernel function is very important. Whereas the nature of the data is usually unknown, it is very difficult to make, on beforehand, a proper choice out of the possible kernel functions. For this reason, during the model building process, usually more than one kernel is applied to select the one which gives the best prediction performance. Unfortunately, this will lead to a very time-consuming optimization procedure. To circumvent this disadvantage, a novel universal kernel function based on the Pearson VII function (PUKF) is introduced in this paper. PUKF can replace the common kernel functions, and simplifies the training process of SVM nonlinear regression. SVM based on PUKF was applied to model the Quantitative Structure-Toxicity Relationship (QSTR) to investigate its potential in nonlinear regression. As a case, the QSTR of the toxicity of a heterogeneous set of compounds to Vibrio fischeri was researched, the results showed the excellent generalization performance and robustness of the SVM based on PUKF.
Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record
Authors: Carol Friedman
Venue: Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine (2009)

This talk presents an overview of our research in use of medical knowledge, natural language processing, the electronic health record, and statistical methods to automatically discover novel adverse drug events, which are serious problems world-wide.
Multivariate Jackson Inequality
Authors: W. Pleniak
Venue: Journal of Computational and Applied Mathematics (2009)

By known multivariate versions of the classical Jackson theorem, every compact cube P in R^N admits Jackson's inequality. The purpose of this note is to deliver other examples of Jackson sets in R^N. We shall show that a finite union of disjoint Jackson compact sets in R^N is also a Jackson set and that this in general fails to hold for an infinite union of Jackson sets. We also give a characterization of Jackson sets in the family of Markov compact sets in R^N which together with a Bierstone result permits one to show that Whitney regular compact subsets of R^N are Jackson.
Class-Dependent Feature Selection for Face Recognition
Authors: Zhou Nina, Lipo Wang
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

Feature extraction and feature selection are very important steps for face recognition. In this paper, we propose to use a class-dependent feature selection method to select different feature subsets for different classes after using principal component analysis to extract important information from face images. We then use the support vector machine (SVM) for classification. The experimental result shows that class-dependent feature selection can produce better classification accuracy with fewer features, compared with using the class-independent feature selection method.
Curves that Shape Can Adjust
Authors: LanLan Yan, GuoGen Wu, JiongFeng Liang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Three kinds of trigonometric bases are given in this paper. Based on these bases, three kinds of trigonometric spline curves with shape parameter are defined. Analogous to the quadratic B-spline curves, the curves are constructed with three consecutive control points for each curve segment. The curves posses many properties of the quadratic B-spline curve. Meanwhile, they have many better properties than the quadratic B-spline curve. For equidistant knots, they have continuity, and they have continuity when choosing special parameters. Besides, the curves are closer to the control polygon than the quadratic B-spline curves when the shape parameters satisfy certain conditions. In the last, the trigonometric spline surfaces with shape parameter are constructed. They have most properties of the corresponding curves.
A Detailed Implementation and Analysis of Data Center of GPRS DTU
Authors: Zhen Yu, Zhong Zheng
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

This paper gives an overview of the architecture of the telecontrol system based on GPRS. The objectives of this paper are two fold. One is to present the design and implement of the data center of GPRS DTU. The other is to investigate its performance. According to the features of GPRS DTU, data center provides reliable communication between members of a group by implementing the telecontrol system in the client/server model. With the use of the data center, it is of practical significance to implement multiple master stations to receive data from all slave stations simultaneously and to control all slave stations in parallel. The data center design parameters include real-time control, deployment simplification and the ability to provide high availability, scalability and reliability.
The Description And Retrieval Of Diagrams Based On Case Grammar
Authors: Ryo Kawabata, Toshiharu Kasahara, Kiyoshi Itoh
Venue: Journal of Integrated Design Process Science (2008)

This paper describes methods of description and retrieval of diagrams based on case grammar that describes relations between verb and the other components. In systems analysis, analysts describe diagrams of a target system by using similar diagrams of the other systems. It is effective for analyzing systems to reuse the diagrams but it requires many experiences. The authors apply the case grammar to accumulate and retrieve diagrams in systems analysis. The terms described in diagrams are different depending on the domain, but the combination of two or more cases in diagrams of generic tasks such as trading task, monitoring task, etc. are semantically identical in different domain. For example, two activities "Guest makes a reservation for a room in hotel domain." and "Passenger makes a reservation for airplane in ticket domain." are identified as same kinds of task. Accumulating these synonymous combinations enables analysts to retrieve and to reuse diagrams across several domains. In the same domain, diagrams can be reused by replacing terms for the target system. In different domains, analysts can retrieve similar diagrams from the viewpoints of generic task and modify them. The authors propose a method to accumulate and retrieve diagrams based on case grammar. In our method, components in the diagram are accumulated with eight cases and conditional clause.
Anomaly Detection Using Time Index Differences of Identical Symbols with and without Training Data
Authors: Stefan Jan Skudlarek, Hirosuke Yamamoto
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Anomaly detection or novelty detection has emerged as a powerful tool for masquerade detection during the past decade. However, the strong dependence of previous methods on uncontaminated training data is a matter of concern. We introduce a novel masquerade detection algorithm based on a statistical test for system parameter drift of time series data. The approach presented may exploit attack-free training data if provided, but is not dependent on it. It transforms the string of commands into a symbol sequence, respectively using the average time index difference of symbols identical to the symbol found at a particular index for anomaly detection. We evaluated the method using the standard data set provided by Schonlau et al., both including and excluding the use of training data. We report the results achieved with and without training data, and compare them to the results attained by several conventional methods using training data.
Stability of Cohen-Grossberg-type Fuzzy Cellular Neural Networks with Distributed Delays and Impulses
Authors: Kelin Li, Jinming Liang
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

In this paper, a generalized model of Cohen-Grossberg-type fuzzy cellular neural networks (FCNNs) with distributed delays and impulses is formulated and investigated. By employing the delay differential inequality with impulses initial conditions and the $M$-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for Cohen-Grossberg-type FCNNs with distributed delays and impulses are obtained. In particular, more precise estimate of exponential convergence rate is provided. An example are given to show the effectiveness of the obtained results.
The Multi-modal Rock-Paper-Scissors Game
Authors: György Kovács, Csaba Makara, Attila Fazekas
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

The multi-modal rock-paper-scissors game is an interactive computer game where the opponent of the human player is a virtual agent appearing on the computer screen. The game is similar to the game between humans, the communication takes place by the tools of image and sound processing.
Design and Experiments of Transmitter for Transcutaneous Energy Transmission
Authors: Haitao Zhao, Xiaoying Lv, Guiyang Li, Zhigong Wang
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

The design of the RF transmitter for transcutaneous energy transmission is analyzed and experimentally tested. The transmitter consists of a crystal oscillator, a class-E power amplifier, a supply voltage regulator, and a transmitting coil. The transmitting coils made of enameled wire and the receiving coils made on Printed Circuit Board (PCB) were designed simultaneously. In this paper, the compensated methods of transmitting coils and receiving coils are discussed. The topology and working principle of the transmitter are analyzed, the design parameters of the transmitter are calculated. Driven by a crystal oscillator, the class-E power amplifier operates at 13.56 MHz (ISM frequency band). In the conditions of a distance of 10 mm between two coils and 5-9 V DC supply, the voltage measured across the transmitting coil is from 90 V to 130 V, while the voltage across the receiving coil can reach 28 V. The experimental results are in good agreement with the simulating ones. With a distance of 35 mm and a slice of skin between the coils, the receiving voltage reaches still up to 4 V at least, which meets the need of implanted integrated circuits.
A Generic Personal Assistant Agent Model for Support in Demanding Tasks
Authors: Tibor Bosse, Rob Duell, Mark Hoogendoorn, Michel Klein, Rianne Lambalgen, Andy Mee, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael Vos
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

Human task performance may vary depending on the characteristics of the human, the task and the environment over time. To ensure high effectiveness and efficiency of the execution of tasks, automated personal assistance may be provided to task performers. A personal assistant agent may constantly monitor the human's state and task execution, analyse the state of the human and task, and intervene when a problem is detected. This paper proposes a generic design for a Personal Assistant agent model which can be deployed in a variety of domains. Application of the Personal Assistant model is illustrated by a case study from the naval domain.
k2-Trees for Compact Web Graph Representation
Authors: Nieves R. Brisaboa, Susana Ladra, Gonzalo Navarro
Venue: Proceedings of the 16th International Symposium on String Processing and Information Retrieval (2009)

This paper presents a Web graph representation based on a compact tree structure that takes advantage of large empty areas of the adjacency matrix of the graph. Our results show that our method is competitive with the best alternatives in the literature, offering a very good compression ratio (3.3---5.3 bits per link) while permitting fast navigation on the graph to obtain direct as well as reverse neighbors (2---15 microseconds per neighbor delivered). Moreover, it allows for extended functionality not usually considered in compressed graph representations.
Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data
Authors: Pulak Ghosh, Lan Huang, Binbing Yu, Ram C. Tiwari
Venue: Computational Statistics Data Analysis (2009)

According to the American Cancer Society report (1999), cancer surpasses heart disease as the leading cause of death in the United States of America (USA) for people of age less than 85. Thus, medical research in cancer is an important public health interest. Understanding how medical improvements are affecting cancer incidence, mortality and survival is critical for effective cancer control. In this paper, we study the cancer survival trend on the population level cancer data. In particular, we develop a parametric Bayesian joinpoint regression model based on a Poisson distribution for the relative survival. To avoid identifying the cause of death, we only conduct analysis based on the relative survival. The method is further extended to the semiparametric Bayesian joinpoint regression models wherein the parametric distributional assumptions of the joinpoint regression models are relaxed by modeling the distribution of regression slopes using Dirichlet process mixtures. We also consider the effect of adding covariates of interest in the joinpoint model. Three model selection criteria, namely, the conditional predictive ordinate (CPO), the expected predictive deviance (EPD), and the deviance information criteria (DIC), are used to select the number of joinpoints. We analyze the grouped survival data for distant testicular cancer from the Surveillance, Epidemiology, and End Results (SEER) Program using these Bayesian models.
A Study on the Compatibility of Ubiquitous Learning (u-Learning) Systems at University Level
Authors: Martin Ebner, Christian Stickel, Nick Scerbakov, Andreas Holzinger
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

Graz University of Technology has a long tradition in the design, development and research of university wide Learning Management Systems (LMS). Inspired by the iPhone Style, the available system has now been extended by the addition of a mobile viewer, which grants the student mobile accessibility to all available online content. In this paper, we report on the lessons learned within a study on user experience with this specially designed LMS mobile viewer. The User Experience (UX) was measured by application of a 26 item questionnaire including the six factors Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation and Novelty, according to Laugwitz et al. (2008). The results showed high rates of acceptance, although the novelty of our approach received a surprisingly low rating amongst the novice end users.
Using Jason and $\mathcal{M}$oise + to Develop a Team of Cowboys
Authors: Jomi F. Hübner, Rafael H. Bordini, Gauthier Picard
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

This paper gives an overview of a multi-agent system forming a team of "cowboys" to compete in the Multi-Agent Programming Contest 2008 (the `Cows and Herders' scenario). In the two previous contests, we tested and improved Jason [2], an agent platform based on an extension of an agent-oriented programming language called AgentSpeak(L) [5]. The language is inspired by the BDI architecture, thus based on notions such as goals, plans, beliefs, intentions, etc. The participation in previous contests also increased our experience both in using BDI concepts as well as in programming agents with Jason specifically. In the 2006 contest, the focus was on the definition of agent's plans [1], leading to rather reactive agents. In the 2007 contest, the focus was on (declarative) goals [3], leading to more pro-active, goal-directed agents.
Introduction
Authors: Andrea Pietracaprina, Rob Bisseling, Emmanuelle Lebhar, Alexander Tiskin
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

Parallelism has been traditionally at the base of high-end complex platforms. In recent years, however, the emergence of novel technologies and computing systems has broadened considerably the spectrum of applications where parallel computation plays a fundamental role: on the one hand, chip manufacturers are shifting their focus towards new designs incorporating multiple cores within individual chips; on the other, large-scale networks are becoming the underlying infrastructures of innovative computing and data access platforms. Both traditional and emerging scenarios pose a number of challenging theoretical questions regarding architectures, models, and algorithmic strategies for effective parallel computing. Topic 12 is a suitable venue where researchers can discuss these questions and present their new achievements.