ppxscal/embedding_network huggingface dataset:
Effect of randomness on multi-frequency aeroelastic responses resolved by Unsteady Adaptive Stochastic Finite Elements
Authors: Jeroen A. S. Witteveen, Hester Bijl
Venue: Journal of Computational Physics (2009)

The Unsteady Adaptive Stochastic Finite Elements (UASFE) method resolves the effect of randomness in numerical simulations of single-mode aeroelastic responses with a constant accuracy in time for a constant number of samples. In this paper, the UASFE framework is extended to multi-frequency responses and continuous structures by employing a wavelet decomposition pre-processing step to decompose the sampled multi-frequency signals into single-frequency components. The effect of the randomness on the multi-frequency response is then obtained by summing the results of the UASFE interpolation at constant phase for the different frequency components. Results for multi-frequency responses and continuous structures show a three orders of magnitude reduction of computational costs compared to crude Monte Carlo simulations in a harmonically forced oscillator, a flutter panel problem, and the three-dimensional transonic AGARD 445.6 wing aeroelastic benchmark subject to random fields and random parameters with various probability distributions.
Fault Diagnosis Based on BFS in Electric Power System
Authors: Yagang Zhang, Jinfang Zhang, Jing Ma, Zengping Wang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

In this paper, we adopt a novel topological approach to fault diagnosis. In our researches, global information will be introduced into electric power system, we are using mainly BFS of graph theory algorithms to resolve fast and exact discrimination of faulty components and faulty sections, and finally accomplish fault diagnosis. Graph theory algorithms can be used to model many different physical and abstract systems such as transportation and communication networks, models for business administration, political science, and psychology and so on. In the study of fault diagnosis in electric power system, especially the fault diagnosis for mechanically-driven sections of equipments in power plant, graph theory algorithms must also have a good prospect of application.
How Situated Is Your Agent? A Cognitive Perspective
Authors: Daghan L. Acay, Liz Sonenberg, Alessandro Ricci, Philippe Pasquier
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

Software agents are situated in an environment with which they interact reactively or in a goal-directed fashion. Generally, such environments do not assume a structure, hence are deemed to be unpredictable. Recent approaches adopt an environment model where artifacts form the building blocks. Artifacts represent functional components that an agent can exploit for reaching its goals. It has been argued that software agents can improve/amend their capabilities at run time through the use of (new) artifacts as possible means. We argue that such a run time adaptation by the agents can be realized by creating an appropriate relationship between agent reasoning and the functionality of the artifacts. We have coined the term extrospection to refer to the act of an agent reasoning about the tools. In this paper, we first identify the features of extrospection, then, we extend the belief, desire, intention (BDI) agent deliberation cycle to encompass extrospection.
Applying RDF Ontologies to Improve Text Classification
Authors: Wang Xiaoyue, Bai Rujiang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

Current classification methods are based on the “Bag of Words” (BOW) representation, which only accounts for term frequency in the documents, and ignores important semantic relationships between key terms. In this paper, we proposed a system that uses ontologies and Natural Language Processing techniques to index texts. Traditional BOW matrix is replaced by “Bag of Concepts” (BOC). For this purpose, we developed fully automated methods for mapping keywords to their corresponding ontology concepts. Support Vector Machine a successful machine learning technique is used for classification. Experimental results shows that our proposed method dose improve text classification performance significantly
Vector Keyboard for Touch Screen Devices
Authors: Martin Klima, Vaclav Slovacek
Venue: Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009 (2009)

Paper introduces a vector keyboard for touch screen devices. Characters are typed by drawing a vector starting from a dedicated area. The typing area is divided into three clusters, each containing 9 characters. Measurement of typing speed and of number of typos reveals that the keyboard is comparable to ABCDEF virtual keyboard.
Using language modeling to select useful annotation data
Authors: Dmitriy Dligach, Martha Palmer
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium (2009)

An annotation project typically has an abundant supply of unlabeled data that can be drawn from some corpus, but because the labeling process is expensive, it is helpful to pre-screen the pool of the candidate instances based on some criterion of future usefulness. In many cases, that criterion is to improve the presence of the rare classes in the data to be annotated. We propose a novel method for solving this problem and show that it compares favorably to a random sampling baseline and a clustering algorithm.
A real-time multiple-choice question generation for language testing: a preliminary study
Authors: Ayako Hoshino, Hiroshi Nakagawa
Venue: Proceedings of the second workshop on Building Educational Applications Using NLP (2005)

An automatic generation of multiple-choice questions is one of the promising examples of educational applications of NLP techniques. A machine learning approach seems to be useful for this purpose because some of the processes can be done by classification. Using basic machine learning algorithms as Naive Bayes and K-Nearest Neighbors, we have developed a real-time system which generates questions on English grammar and vocabulary from on-line news articles. This paper describes the current version of our system and discusses some of the issues on constructing this kind of system.
The GIS Application Study on Decision-Making and Control in Regional Industrial and Resource-Environmental System
Authors: Yan-jiao Men, Jian-dong Fang
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Geographic information system (GIS) technology has made a great breakthrough in many fields, such as nation security and power industry. Providing assists on decision support system with spatial intelligent services, this paper introduces situations and characters of GIS firstly, and then the design on the decision and control of regional industrial and resource-environmental system is illustrated based on GIS in detail. This design will provide information and technical support for regional agricultural resources and the scientific decision-making practice in agricultural production.
Filmification of Methods: Representation of Particle-In-Cell Algorithms
Authors: Yutaka Watanobe, Victor Malyshkin, Rentaro Yoshioka, Nikolay Mirenkov, Hamido Fujita
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

Filmification of methods is an approach to find new formats for program and data/knowledge representation. It is also to create a basis for specifying and developing a new generation of programming environments. Within this approach various algorithms are analyzed and represented as cyberFilms where special visual super-symbols (icons) are introduced for defining meaning of the cyberFilm frames. In this paper, the filmification of methods is applied for particle-in-cells algorithms. Results demonstrate a promising compactness of the program representation, covering technical details of parallel implementation and an effectiveness of an open set of icons.
Statistical post-editing of a rule-based machine translation system
Authors: A.-L. Lagarda, V. Alabau, F. Casacuberta, R. Silva, E. Díaz-de-Liaño
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

Automatic post-editing (APE) systems aim at correcting the output of machine translation systems to produce better quality translations, i.e. produce translations can be manually post-edited with an increase in productivity. In this work, we present an APE system that uses statistical models to enhance a commercial rule-based machine translation (RBMT) system. In addition, a procedure for effortless human evaluation has been established. We have tested the APE system with two corpora of different complexity. For the Parliament corpus, we show that the APE system significantly complements and improves the RBMT system. Results for the Protocols corpus, although less conclusive, are promising as well. Finally, several possible sources of errors have been identified which will help develop future system enhancements.
Analysis on an Energy Efficient Routing Algorithm for Wireless Sensor Networks
Authors: Yung-Fa Huang, Tan-Hsu Tan, Yau-Der Wang, Neng-Chung Wang, Ding Yin
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

In wireless sensor networks (WSNs), the multi-hop routing protocols can perform energy efficiency. However, the network lifetime still suffers degradations due to the unbalanced energy consumption for all nodes. Therefore, in this paper, with energy saving scheme we propose an improved cross layer algorithm to combining MAC and routing protocols. An analysis is developed to show the energy efficiency of proposed cross layer algorithm. Moreover, simulation results show that the proposed weighted routing algorithm can further prolong network lifetime for WSNs.
Bayesian coalitional games
Authors: Samuel Ieong, Yoav Shoham
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 1 (2008)

We introduce Bayesian Coalitional Games (BCGs), a generalization of classical coalitional games to settings with uncertainties. We define the semantics of BCG using the partition model, and generalize the notion of payoffs to contracts among agents. To analyze these games, we extend the solution concept of the core under three natural interpretations-- ex ante, ex interim, and ex post--which coincide with the classical definition of the core when there is no uncertainty. In the special case where agents are risk-neutral, we show that checking for core emptiness under all three interpretations can be simplified to linear feasibility problems similar to that of their classical counterpart.
Voice Pleasantness of Female Voices and the Assessment of Physical Characteristics
Authors: Vivien Zuta
Venue: Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 International Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and Invited Papers (2009)

It has been demonstrated that there seem to be non-linguistic patterns from which listeners refer to the appearance of a speaker. This study completes the collected voice parameters, which count so far as indicators of physical attributes and as factors for voice attractiveness. Since scientists tend to prefer male voices for such analyses this one is based on female voices and both-gendered judges. 20 female voices were played to 102 listeners, 52 male and 50 female. Because of different rating strategies of female and male listeners, the group specific rating strategies were compared; a bimodal rating dispersion was assumed and mostly proved.
A New Method for Data Hiding Domain Classification
Authors: Liu Jing, Tang Guangming
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

Data hiding domain identification is very important for further steganalysis. A statistic feature-based method is advocated for identifying the hiding domain in this research. Different features in different domains that can reflect well statistical changes due to data hidden are extracted. In order to obtain better classification results, a process of adding noise is introduced to extract the feature that can classify spatial and DCT domain hiding. Based on the "one-against-one" SVM classifier, the experiment is implemented and the proposed method has performed satisfied classification results.
A Maximum Class Distance Robust Support Vector Machine Classification Algorithm
Authors: Xiaohong Fan, Zheng Sun
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

A maximum class distance robust support vector machine (MCDRSVM) is presented in this paper.Inspired from the principles of linear discriminate analysis(LDA) and support vector machine(SVM), the method adapts the robust cost function and tries to find a optimal separable hyperplane by maximizing the class scatter distance, which reduces influences of outliers and greatly improves the performance of the proposed algorithm. To deal with the singularity of the class matrix resulted with the small size sample,kernel principal component analysis (KPCA) is applied to transform samples to lower dimension, then the hyperplane can be achieved by solving MCDRSVM optimization problem. The simulations demonstrate the efficiencies of the proposed algorithm.
With Model of Information Entropy and Unascertained Measure to Evaluate Waste Discharge
Authors: Hu WangYang, Xing Gang, Ren RongRong
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

In this paper information Entropy theory was introduced to the research on waste discharge evaluating index of macro-level circulation economic system, which is independent from entropy solutions reduction of indicator system. On this basis, uncertainty measurement theory is applied to comprehensive evaluation of waste discharge, information entropy algorithm to determine the weight of evaluation is used and human factors is out of the possibility of interference in order to get more accurate identification results.
Semantic Fields: Finding Ontology Relationships
Authors: Ismael Navas-Delgado, Maria Mar Roldán-García, José F. Aldana-Montes
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

This paper presents the Semantic Field concept which enables the global comparison of ontologies. This concept uses the results obtained from ontology matching tools to estimate the global similarity between ontologies. It has been used in a tool called the Semantic Field Tool (SemFiT). A demo tool is provided (http://khaos.uma.es/SFD).
A procedure for robust fitting in nonlinear regression
Authors: Douglas M. Hawkins, Dost Muhammad Khan
Venue: Computational Statistics Data Analysis (2009)

Outliers present more of a challenge in nonlinear than in linear models. As in the linear case, methods based on full-sample fits are not guaranteed to give larger residuals on the outliers than on inliers, and so identification methods starting from full-sample fits may fail. In addition, the fitting involves iterative calculation rather than closed-form explicit solutions, with the potential problems of convergence to local rather than global optima. The elemental set method, which has long been a fundamental tool in high breakdown linear fitting, is well suited to some nonlinear regression problems, providing an effective way of fitting the nonlinear equation, and providing the capability of doing so even in the face of large numbers of severe outliers. We discuss the basic elemental set method, and the nonlinear FAST-LTS approach, and propose a hybrid method with elemental searches preceding concentration steps.
Accommodating Real User and Organisational Requirements in the Human Centered Design Process: A Case Study from the Mobile Phone Industry
Authors: Steve Love, Paul Hunter, Michael Anaman
Venue: Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009 (2009)

This paper reports on the results of a case study that investigated how different stakeholder needs within an organisation can be taken into consideration alongside the needs of real users in the human-centered design process to improve product and service design. The case study focuses on the mobile phone industry and in particular the design of a new service that was to be used in the retail stores of a major mobile phone service provider. The results indicated that by including various organizational stakeholders (such as sales and marketing teams) in an early stage evaluation of a prototype design provides valuable insight to problems (as well as suggestions to improve design) that may not otherwise come to light until a crucial time period in the project and could have a concomitant effect on sales and marketing timelines associated with the project launch.
Compensation of Motion Artifacts for Time-of-Flight Cameras
Authors: Marvin Lindner, Andreas Kolb
Venue: Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging (2009)

During the last years, Time-of-Flight sensors achieved a significant impact onto research fields in computer vision. For dynamic scenes however, most sensor's working principles lead to significant artifacts in respect to sensor or object motion --- artifacts that commonly affect distance reliability and thus affect downstream processing tasks in a negative way.We therefore introduce a compensation approach for sensors based on the Photonic Mixing Device (PMD). Out technique deals with both, lateral and axial motion artifacts. The lateral compensation tracks object motion on the level of phase images and accordingly adjusts the depth image computation in order to reduce artifacts and enhances depth reliability. The axial motion compensation is based on an axial motion estimation and a theoretical model for axial motion deviation errors. Both components utilize fast optical flow algorithms.
Introduction
Authors: Peter Arbenz, Martin Gijzen, Patrick Amestoy, Pasqua D'Ambra
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

Numerical algorithms have played a key role in parallel computing since its beginning. In fact, numerical routines have caused the highest demand for computing power anywhere, making their efficient parallelization one of the core methodical tasks in high-performance computing. Many of today's fastest computers are mostly used for the solution of huge systems of equations as they arise in the simulation of complex large-scale problems in computational science and engineering.
Services in Game Worlds: A Semantic Approach to Improve Object Interaction
Authors: Jassin Kessing, Tim Tutenel, Rafael Bidarra
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

To increase a player's immersion in the game world, its objects should behave as one would reasonably expect. For this, it is now becoming increasingly clear that what game objects really miss is richer semantics, not eye-catching visuals. Current games' lack of semantics is mostly due to the difficulty of game designers to realize such complex objects. This paper proposes a solution to this problem in the form of services, characterizing classes of game objects. An example of this is the service of a vending machine, which exchanges a coin for a soda. A three-phased methodology is presented to incrementally specify and add services to game objects. This approach has been implemented and validated by means of a prototype system, which enables a simple and intuitive definition of services in an integrated environment. It is concluded that game objects aware of their services facilitate more and better object interaction, therefore improving gameplay as well.
Challenges in bridging plan synthesis paradigms
Authors: Subbarao Kambhampati
Venue: Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1 (1997)

In the last three years, several "radically new" and promising approaches have been developed for tackling the plan synthesis problem. Currently, these approaches exist in isolation as there is no coherent explanation of their sources of strength vis a vis the traditional refinement planners. In this paper, I provide a generalized view of refinement planning, that subsumes both traditional and newer approaches to plan synthesis. I will interpret the contributions of the new approaches in terms of a new subclass of refinement planners called "disjunctive planners". This unifying view raises several intriguing possibilities for complementing the strengths of the various approaches. I will identify and pose these as challenges to the planning community.
For a few dollars less: identifying review pages sans human labels
Authors: Luciano Barbosa, Ravi Kumar, Bo Pang, Andrew Tomkins
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

We address the problem of large-scale automatic detection of online reviews without using any human labels. We propose an efficient method that combines two basic ideas: Building a classifier from a large number of noisy examples and using the structure of the website to enhance the performance of this classifier. Experiments suggest that our method is competitive against supervised learning methods that mandate expensive human effort.
UBC-UMB: combining unsupervised and supervised systems for all-words WSD
Authors: David Martinez, Timothy Baldwin, Eneko Agirre, Oier Lopez de Lacalle
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This paper describes the joint submission of two systems to the all-words WSD sub-task of SemEval-2007 task 17. The main goal of this work was to build a competitive unsupervised system by combining heterogeneous algorithms. As a secondary goal, we explored the integration of unsupervised predictions into a supervised system by different means.
Identifying types of claims in online customer reviews
Authors: Shilpa Arora, Mahesh Joshi, Carolyn P. Rosé
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers (2009)

In this paper we present a novel approach to categorizing comments in online reviews as either a qualified claim or a bald claim. We argue that this distinction is important based on a study of customer behavior in making purchasing decisions using online reviews. We present results of a supervised algorithm for learning this distinction. The two types of claims are expressed differently in language and we show that syntactic features capture this difference, yielding improvement over a bag-of-words baseline.