ppxscal/embedding_network huggingface dataset:
XTaGe: A Flexible Generation System for Complex XML Collections
Authors: María Pérez, Ismael Sanz, Rafael Berlanga
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

We introduce XTaGe (XML Tester and Generator), a system for the synthesis of XML collections meant for testing and micro-benchmarking applications. In contrast with existing approaches, XTaGe focuses on complex collections, by providing a highly extensible framework to introduce controlled variability in XML structures. In this paper we present the theoretical foundation, internal architecture and main features of our generator; we describe its implementation, which includes a GUI to facilitate the specification of collections; we discuss how XTaGe's features compare with those in other XML generation systems; finally, we illustrate its usage by presenting a use case in the Bioinformatics domain.
Some results involving series representations of hypergeometric functions
Authors: M. W. Coffey, S. J. Johnston
Venue: Journal of Computational and Applied Mathematics (2009)

In this paper, we prove some generalisations of several theorems given in [K.A. Driver, S.J. Johnston, An integral representation of some hypergeometric functions, Electron. Trans. Numer. Anal. 25 (2006) 115-120] and examine some special cases which correspond to a transformation given by Chaundy in [T.W. Chaundy, An extension of hypergeometric functions, I., Quart. J. Maths. Oxford Ser. 14 (1943) 55-78] and other transformations involving the Riemann zeta function and the beta function.
More than words: syntactic packaging and implicit sentiment
Authors: Stephan Greene, Philip Resnik
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Work on sentiment analysis often focuses on the words and phrases that people use in overtly opinionated text. In this paper, we introduce a new approach to the problem that focuses not on lexical indicators, but on the syntactic "packaging" of ideas, which is well suited to investigating the identification of implicit sentiment, or perspective. We establish a strong predictive connection between linguistically well motivated features and implicit sentiment, and then show how computational approximations of these features can be used to improve on existing state-of-the-art sentiment classification results.
Using the marginalised particle filter for real-time visual-inertial sensor fusion
Authors: Gabriele Bleser, Didier Strickery
Venue: Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (2008)

The use of a particle filter (PF) for camera pose estimation is an ongoing topic in the robotics and computer vision community, especially since the FastSLAM algorithm has been utilised for simultaneous localisation and mapping (SLAM) applications with a single camera. The major problem in this context consists in the poor proposal distribution of the camera pose particles obtained from the weak motion model of a camera moved freely in 3D space. While the FastSLAM 2.0 extension is one possibility to improve the proposal distribution, this paper addresses the question of how to use measurements from low-cost inertial sensors (gyroscopes and accelerometers) to compensate for the missing control information. However, the integration of inertial data requires the additional estimation of sensor biases, velocities and potentially accelerations, resulting in a state dimension, which is not manageable by a standard PF. Therefore, the contribution of this paper consists in developing a real-time capable sensor fusion strategy based upon the marginalised particle filter (MPF) framework. The performance of the proposed strategy is evaluated in combination with a marker-based tracking system and results from a comparison with previous visual-inertial fusion strategies based upon the extended Kalman filter (EKF), the standard PF and the MPF are presented.
Implicit Interaction: A Modality for Ambient Exercise Monitoring
Authors: J. Wan, M. J. O'Grady, G. M. O'Hare
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Ambient Exercise refers to the implicit exercise that people undertake in the course of their everyday duties - a simple example being climbing stairs. Increasing awareness of the potential health benefits of such activities may well contribute to an increase in a person's well-being. Initially, it is necessary to monitor and quantify such exercise so that personalized fitness plans may be constructed. In this paper, the implicit interaction modality is harnessed to enable the capturing of ambient exercise activity thereby facilitating its subsequent quantification and interpretation. The novelty of the solution proposed lies in its ubiquity and transparency.
Analysis of News Agencies' Descriptive Features of People and Organizations
Authors: Shin Ishida, Qiang Ma, Masatoshi Yoshikawa
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

News agencies report news from different viewpoints and with different writing styles. We propose a method to extract characteristic descriptions of a news agency written about people and organizations. To extract the characteristic descriptions of a given person or organization, we analyze words which appear in the same sentence on the basis of their SVO roles. We then extract a description that is often used by the news agency but not commonly used by the others. The experimental results show that our method can elucidate the different features of each agency's writing style.
Speed-up techniques for solving large-scale biobjective TSP
Authors: T. Lust, A. Jaszkiewicz
Venue: Computers and Operations Research (2010)

In this paper, we present the Two-Phase Pareto Local Search (2PPLS) method with speed-up techniques for the heuristic resolution of the biobjective traveling salesman problem. The 2PPLS method is a state-of-the-art method for this problem. However, because of its running time that strongly grows with the instances size, the method can be hardly applied to instances with more than 200 cities. We thus adapt some speed-up techniques used in single-objective optimization to the biobjective case. The proposed method is able to solve instances with up to 1000 cities in a reasonable time with no, or very small, reduction of the quality of the generated approximations.
Dialog codes for secure wireless communications
Authors: Anish Arora, Lifeng Sang
Venue: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks (2009)

We investigate the feasibility of achieving perfect secrecy in wireless network communications without shared secrets. We introduce a secure coding problem in which not only the sender but also the receiver participates in the coding. In essence, the receiver's role is to selectively jam the sender's transmission at the level of bits, bytes, or packets. We then design a class of secure codes, which we call dialog codes, for diverse channel models and receiver models. Our codes are simple and efficient, with only O(1) complexity in both the encoding and the decoding process, and achieve optimal coding rate in some channel models. This, along with their potential for augmenting security and/or simplifying security bootstrapping, makes them worthy of consideration for resource-constrained wireless sensor network devices. By way of experimental validation, we study the channel jamming characteristics of extant mote radios — specifically, CC2420 (IEEE 802.15.4) and CC1000— in experiments, observe their time-varying channel behavior, and demonstrate the correctness and robustness of implementations of our dialog codes at the byte-level and at the packet-level in the presence of dynamic channel fluctuations.
When Social Worlds Collide: Charting the Intersection of Social Media and Courseware/Course Management Systems
Authors: Christopher A. Egert, Stephen Jacobs, Susan B. Barnes
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

Today's pre-college students have been immersed in Social Media Systems (SMS) that mediate their everyday interactions. Before students arrive at college they are using typically using blogs, wikis, forums, social connection systems, digital asset sharing systems, and even community game systems to stay connected. When students reach college, their social networks change in both their function and structure. Institutional emphasis is placed upon Course ware/ Course Management Systems (C/CMS) to augment lecture, classroom and discussion section experiences. While a C/CMS may share similarities with their favorite SMS, students do not always experience the same level of social engagement from them as they do with the tools they use outside of the academic experience. This paper examines how students perceive SMS, examines what students consider SMS, and addresses feature differences between SMS and C/CMS mechanisms.
Verification of Population Ring Protocols in PAT
Authors: Yang Liu, Jun Pang, Jun Sun, Jianhua Zhao
Venue: Proceedings of the 2009 Third IEEE International Symposium on Theoretical Aspects of Software Engineering (2009)

The population protocol model has emerged as an elegant paradigm for describing mobile ad hoc networks, consisting of a number of nodes that interact with each other to carry out a computation. One essential property of self-stabilizing population protocols is that all nodes must eventually converge to the correct output value, with respect to all possible initial configurations. It has been shown that fairness constraints play a crucial role in designing population protocols. The Process Analysis Toolkit (PAT) has been developed to perform verifications under different fairness constraints efficiently. In particular, it can handle global fairness, which is required for the correctness of most of population protocols. It is an ideal candidate for automatically verifying population protocols. In this paper, we summarize our latest empirical evaluation of PAT on a set of self-stabilizing population protocols for ring networks. We report one previously unknown bug in a protocol for leader election identified using PAT.
Real-Time Probabilistic Tracking of Faces in Video
Authors: Giuseppe Boccignone, Paola Campadelli, Alessandro Ferrari, Giuseppe Lipori
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

In this note it is discussed how real-time face detection and tracking in video can be achieved by relying on a Bayesian approach realized in a multi-threaded architecture. To this end we propose a probabilistic interpretation of the output provided by a cascade of AdaBoost classifiers. Results show that such integrated approach is appealing with respect either to robustness and computational efficiency.
A Guide to Conducting Online Research, 1st edition
Authors: Ted J. Gaiser, Anthony E. Schreiner
Venue:  (2009)

A Guide to Using Technology in Research is designed to support students, academics, and practitioner researchers in using technology as part of their research. The book begins by looking at what questions to ask and how to prepare to conduct online research, then concentrates on particular technologies and how to employ them effectively, before concluding with a discussion of the peculiarities of conducting research in the online environment.
A Method to Enhance SCADA Systems Survivability through Simulation Technology
Authors: Feng Li, Limin Shen, Yali Si, JingChun Niu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

this paper presents a new method which ensures the validity and availability of the essential services in SCADA systems using the real-time monitor and the simulation monitor. The real-time monitor is responsible for monitoring the states and critical control commands of systems, estimating whether there are faults and risk in systems based on security rules. The simulation monitor is responsible for simulating execution of control command, monitoring the simulation process, predicting the execution results of critical control commands, and estimating whether the control commands are dangerous and unsafe based on the results. The principles and process of attack detection, attack resistance, and potential faults prediction are introduced. Finally, a simplified Water Treatment System and its simulation results are given to illustrate the feasibility and effectiveness of the method.
Semi-supervised classification using local and global regularization
Authors: Fei Wang, Tao Li, Gang Wang, Changshui Zhang
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 2 (2008)

In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regularized classifier for each data point using its neighborhood, while the global regularization part adopts a Laplacian regularizer to smooth the data labels predicted by those local classifiers. We show that some existing SSL algorithms can be derived from our framework. Finally we present some experimental results to show the effectiveness of our method.
Research on Rub Impact Fault Diagnosis Method of Rotating Machinery Based on Wavelet Packet and Support Vector Machine
Authors: Yanjun Lu, Fanlong Meng, Yibo Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

Rub-impact fault is a common fault of rotating machinery. It will bring serious damage to mechanical equipment. A new diagnosis method based on wavelet packet and support vector machine (SVM) is proposed. The maximal singular values of wavelet packet decomposition coefficients are extracted as robust feature vectors. A new multi-class SVM classifier is constructed in "one versus one" classification strategy and binary tree, which can recognize several patterns of faults after being trained. Meanwhile the way was used on the rub impact fault identification of dual-disk over-hung rotor-bearing system. Experimental results show that the fault patterns can be well identified after training by SVM and its average identification rate has reached 99.175%.
eParticipation for Political Education: Challenges and Opportunities
Authors: Ursula Maier-Rabler, Christina Neumayer
Venue: Proceedings of the 1st International Conference on Electronic Participation (2009)

This paper argues, that the incorporation of eParticipation into political education at schools will broaden the chances of young people for political and societal engagement and strengthen civil society of a country or state. Frustration with traditional party politics especially of the younger generation is increasing in contemporary society. Since the voting age in Austria was lowered to 16, new ways of learning for political education by utilizing information and communication technologies (ICTs) that have the potential to increase participation of young people are considered. However, Austrian young people are not yet educated in developing and expressing political perspectives and therefore not prepared for actively taking part in politics. Exemplified on the project Polipedia.at, a collaborative online textbook on political education, this paper aims to give recommendations from a social science perspective for integration of ICTs into political education in order to enhance political participation of youth.
Evaluating Mobile Usability: The Role of Fidelity in Full-Scale Laboratory Simulations with Mobile ICT for Hospitals
Authors: Yngve Dahl, Ole Andreas Alsos, Dag Svanæs
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends (2009)

We have applied full-scale simulations to evaluate the usability of mobile ICT for hospitals in a realistic but controllable research setting. Designing cost-effective and targeted simulations for such a purpose raises the issue of simulation fidelity. Evaluators need to identify which aspects of the research setting that should appear realistic to simulation participants, and which aspect that can be removed or represented more abstractly. Drawing on research on training simulations, this paper discusses three interrelated fidelity components--equipment/prototype fidelity, environmental fidelity, and psychological fidelity. These components need to be adjusted according to which design aspects evaluators want to gather feedback on. We present examples of how we have configured the components in various simulation-based usability assessments of mobile ICT for hospitals. The paper concludes by providing a set of guiding principles concerning the role of fidelity in simulation-based usability evaluations.
Parallel Implementation of Runge---Kutta Integrators with Low Storage Requirements
Authors: Matthias Korch, Thomas Rauber
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

This paper considers the parallel solution of large systems of ordinary differential equations (ODEs) which possess a special access pattern by explicit Runge---Kutta (RK) methods. Such systems may arise, for example, from the semi-discretization of partial differential equations (PDEs). We propose an implementation strategy based on a pipelined processing of the stages of the RK method that does not impose restrictions on the choice of coefficients of the RK method. This approach can be implemented with low storage while still allowing efficient step control by embedded solutions.
A Novel Content-Based Side-Information Generation Approach for Distributed Video Coding
Authors: Yiduo Wei, Xiaodong Liu
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

the performance of Distributed Video Coding (DVC) has a great reliance on the accuracy of side-information, which is estimated according to the intra-coded key frames that are assumed to be reconstructed lossless in this paper. A novel content-based side-information generation approach is proposed to improve the Wyner-Ziv frame estimation. First, the motion features and texture features are extracted and used to segment the side-information into different regions with different confidence. Then the low-confident regions’ side information could be corrected by the information obtained from the adjacent high-confident regions. At last, an adaptive block (AB) technique is implemented to improve performance on the base of the results from the content-based approach. Experiments illustrated that the average PSNR of side-information obtained by the content-based side-information approach with adaptive block is about 0.9dB higher the cases without it.
Collaborative Semantic Tagging of Web Resources on the Basis of Individual Knowledge Networks
Authors: Doreen Böhnstedt, Philipp Scholl, Christoph Rensing, Ralf Steinmetz
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

The web is increasingly used as an information source to gain new knowledge but the management of found web pages can be a challenging task. Often social tagging systems are used for resource management. Besides the obvious use of tags --- organizing a collection of web resources --- they support functionalities like sharing resources with other users and recommendation of further possibly relevant web pages. This paper describes a novel application based on an extended tagging concept that can improve resource management and recommendation. Adding semantic information to tags and tagging fragments of web pages instead of whole web pages enhance the possibilities of well-known tagging applications. Individual knowledge networks are the basis of this tagging concept. A first prototype is developed as proof of concept.
Metadesign: Guidelines for Supporting Domain Experts in Software Development
Authors: Gerhard Fischer, Kumiyo Nakakoji, Yunwen Ye
Venue: IEEE Software (2009)

The once-sharp distinction between software users and developers is fading away, and richer ecologies of participation are emerging. In particular, software engineering R&D faces new challenges from the quickly increasing population of software developers who are domain experts but don't have the time or desire to be professional software engineers. The metadesign framework reformulates software development activities as a continuum of different degrees of design and use. It's supported by the "seeding, evolutionary growth, reseeding" model and supports the coevolution of individuals, communities, and systems. Guidelines derived from these models can help software developers produce tools for end-user development. This article is part of a special issue on end-user software engineering.
Investigation of Sleepiness Induced by Insomnia Medication Treatment and Sleep Deprivation
Authors: Ioanna Chouvarda, Emmanouil Michail, Athina Kokonozi, Luc Staner, Nathalie Domis, Nicos Maglaveras
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

The main objective of this work is the study of EEG signals in order to investigate sleepiness induced from drug administration for insomnia and sleep deprivation. Data used in this work were obtained from real experiments in FORENAP, France and in CERTH, Thessaloniki, Greece. The features under consideration are Power Spectrum in certain frequency areas, alpha slow-wave index (ASI) and Fractal Dimension (FD) for placebo and verum subjects. Studying these features in the above groups, we found that sleepiness due to hypnotic medication and due to sleep deprivation can cause different behaviour in brain activity at certain locations. These EEG characteristics could be used for the classification of the medication intake (verum or placebo) and its effect.
The Research of Data Communication on Distributed Medical System Realized with .NET Technology
Authors: Qi Zhao, Yanliao Tan, Lili Xing
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

Nowadays, more and more application systems are based on Internet or the distributed computing platform of salability and extensibility offering by the Internet. However, the development of the distributed medical system, which was in different region with crossing-platform, enhanced the difficulty of data communication in the medical information. And the original distributed technologies had a lot of disadvantages which can not solve the present problem of heterogeneous information communication. In this paper, two kinds of distributed technologies that based on .NET Remoting and Web Service are compared and analyzed. The .NET Remoting is utilized to provide internal user with the nimble and effective service, at the same time the distributed heterogeneous of Web Service is utilized to provide server port for exterior. And then the information inquiry among distributed heterogeneous database of medical system is completed, then it complies with the development requirement of message communication in the modern networks.
Two Direction S-Rough Decision and Rough Decision Law Mining
Authors: Shunliang Huang, Kaiquan Shi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

Two direction S-rough sets has two direction dynamic characteristics. By employing two direction S-rough sets, a generation method of two direction S-rough decision law is presented. The concepts of upper-decision law, lower-decision law, two direction S-rough decision law, two direction S-rough decision law kernel, two direction S-rough decision law band and two direction S-rough decision law hull are proposed. The theorems about decision law transfer and decision law mining are presented. The criterion of rough decision law mining is given.