ppxscal/embedding_network huggingface dataset:
A Distributed Multi-agent Architecture in Simulation Based Medical Training
Authors: Jun Hu, Loe Feijs
Venue: Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development (2009)

In the United States as many as 98,000 people die each year from medical errors that occur in hospitals, according to a book with the title To Err is Human. It was found that in America 75 percent of the failures in rescue were caused by either the diagnosis or the treatment being too late. Many of these deaths could have been avoided by improved the communication and coordination with in the medical teams.Team training using medical simulators is one of the methods to increase the skills of a multidisciplinary group of employees in the delivery room and especially to prevent inadequate communication in critical obstetric situations. Hoever with most of the currently available simulators, the level of realism is not particularly high. Next to the toy like external appearance, it is also the not really flexible material applied which has the effect that the training experience is still quite remote from the reality. Especially, most of the commercial products today are designed as a stand alone system that does not really take the team training aspects into account. For a more realistic experience and an optimal training result, we are aiming at the next generation simulation based training facilities, involving as many different senses as possible: vision, sound, smell and also importantly a realistic touch experience (moistness, warmth, friction). It brings more software and hardware devices and components into the training room.This paper addresses the issues of distributed interactions in such a simulation based medial training environment. A scripting language is proposed, using a metaphor of play, with which the timing and mapping issues in describing the distributed presentations are covered. A distributed multi-agent based architecture for the such systems is also presented, which covers the timing and mapping issues of conducting such a script in a medical training environment.The concepts of the play metaphor, the scripting language and the architecture are found to be applicable in simulation based medical training, because of the similar requirements on timing and mapping in applications of both distributed multimedia entertainment and simulation based medial training. However there are also clear differences between these two application areas. Further research and development need to be done to deal with the issues such as multiple participants in team training and the verification of the actual performance of a training session.
Key Properties in the Development of Smart Spaces
Authors: Sergey Balandin, Heikki Waris
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

This paper is targeted at improving and expanding the understanding of the Smart Spaces concept of by the R D community. Through the identification of key properties based on an analysis of evolving trends in the mobile industry, the developers are provided with recommendations that improve the adoption of Smart Spaces. It is especially important to understand how Smart Spaces can change the whole services ecosystem and the role that mobile devices will play.The paper discusses some core technologies being developed in the industry that might play a dominant role in the future Smart Spaces. A special attention of the discussion is the latest trend towards a networked inter-device architecture for mobile devices and what new possibilities it opens. With that the discussion expands into general properties of Smart Spaces. The paper summarizes functional and non-functional properties. By understanding the properties and their implications to the development and adoption of Smart Spaces, the developers are better equipped to ensure that the needs of the various stakeholders are taken into account. For this purpose, the paper proposes a set of questions that can be used to estimate how well the planned Smart Space fares when compared against each of the properties.
From Paper to Module --- An Integrated Environment for Generating SCORM Compliant Moodle Courses Out of Text and Multimedia Elements
Authors: Hans-Martin Pohl, Benedikt Deicke, Jan-Torsten Milde
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains (2009)

ECampus is a project spanning all departments at the University of Fulda. It has been started to create a uniform learning environment at the university. The objective is to research and develop a user-friendly easy-to-use editor to generate SCORM 2004 conform E-Learning modules. This editor is based on Open Source software and new technologies such as XSL transformations and the Google web toolkit. The whole system is provided as a web application and embedded within the E-Learning environment of the university. Some E-Learning modules can be developed with the system immediately. These modules are now being used during the lessons with great success.
Handling duration uncertainty in meta-level control of progressive processing
Authors: Abdel-Illah Mouaddib, Shlomo Zilberstein
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

Progressive processing is a resource-bounded reasoning technique that allows a system to incrementally construct a solution to a problem using a hierarchy of processing levels. This paper focuses on the problem of meta-level control of progressive processing in domains characterized by rapid change and high level of duration uncertainty. We show that progressive processing facilitates efficient run-time monitoring and meta-level control. Our solution is based on an incremental scheduler that can handle duration uncertainty by dynamically revising the schedule during execution time based on run-time information. We also show that a probabilistic representation of duration uncertainty reduces the frequency of schedule revisions and thus improves the performance of the system. Finally, an experimental evaluation shows the contributions of this approach and its suitability for a data transmission application.
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition in Online Examination System
Authors: Chen Yu, Zhang Jian, Yi Bo, Chen Deyun
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

To solve the authentication problem in online examination system for large-scale, a novel principal component analysis neural network algorithm for fingerprint recognition is presented.Based on the introduction of the basic principles of feature selection and feature extraction for principal component analysis，Construction of Symmetric subspace model based on principal component analysis neural network, and the convergence of Symmetric subspace algorithm is analyzed.The feasibility of using this algorithm for fingerprint recognition problems is also discussed. Algorithm to meet the convergence conditions and to simplify the complex pre-processing steps, greatly reducing the computational complexity, improve the speed of the identification. Experimental results indicate that the algorithm can obtain a higher recognition rate compared with BP neural network recognition algorithm and this new algorithm presents a feasible and effective way to research on fingerprint recognition algorithm for the examination.
Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer
Authors: Chi Sing Leung, Pui Fai Sum, Hongjiang 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)

In the past two decades, the use of the weight decay regularizer for improving the generalization ability of neural networks has been extensively investigated. However, most existing results focus on the fault-free neural networks only. This papers extends the analysis on the generalization ability for networks with multiplicative weight noise. Our analysis result allows us not only to estimate the generalization ability of a faulty network, but also to select a good model from various settings. Simulated experiments are performed to verify theoretical result.
A Quantitative Method of Assessment on Development Level of Regional Economic Based on D-S Theory
Authors: Wang Yanting, Zhou Bin, Li Lingling, Jin Hao
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

D-S theory is a popular assessment method on physical science. For this method, first, the scope of research regions should be determined, then some samples selected randomly from the sample space which is set up, so the samples quality can be assessed based on fuzzy theory. And then, the results of these assessments should be put as a “different sources, used to assess sample” multi-channel information, and the information be integrated in order to get the assessment results of the entire sample space based on D-S theory. At last, the assessment results can be explained as confidence interval is [0, 1].This text takes a province as an example, the economic development level of the province is 0.65286 based on this method.
Increasing the coverage of a domain independent dialogue lexicon with VerbNet
Authors: Benoit Crabbé, Myroslava O. Dzikovska, William de Beaumont, Mary Swift
Venue: Proceedings of the Third Workshop on Scalable Natural Language Understanding (2006)

This paper investigates how to extend coverage of a domain independent lexicon tailored for natural language understanding. We introduce two algorithms for adding lexical entries from VerbNet to the lexicon of the Trips spoken dialogue system. We report results on the efficiency of the method, discussing in particular precision versus coverage issues and implications for mapping to other lexical databases.
Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities
Authors: Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Mike Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

Collaborative filtering (CF) is at the heart of most successful recommender systems nowadays. While this technique often provides useful recommendations, conventional systems also ignore data that could potentially be used to refine and adjust recommendations based on a user's context and preferences. The problem is particularly acute with mobile systems where information delivery often needs to be contextualized. Past research has also shown that combining CF with other techniques often improves the quality of recommendations. In this paper, we present results from an experiment assessing user satisfaction with recommendations for leisure activities that are obtained from different combinations of these techniques. We show that the most effective mix is highly dependent on a user's familiarity with a geographical area and discuss the implications of our findings for future research.
Morphological Exploration of Shape Spaces
Authors: Jesús Angulo, Fernand Meyer
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

The aim of this paper is to propose efficient tools for analysing shape families using morphological operators. The developments include the definition of shape statistics (mean and variance of shapes, modes of shape variation) and the interpolation/extrapolation in shape geodesic paths. The main required ingredients for the operators and the algorithms here introduced are well known in mathematical morphology such as the median set, the watershed on distance functions or the interpolation function. In addition, the projection of shapes in spaces with reduced dimensions using PCA or ISOMAP techniques permits to apply morphological interpolation techniques in shape manifolds.
Improving automatic sentence boundary detection with confusion networks
Authors: D. Hillard, M. Ostendorf, A. Stolcke, Y. Liu, E. Shriberg
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

We extend existing methods for automatic sentence boundary detection by leveraging multiple recognizer hypotheses in order to provide robustness to speech recognition errors. For each hypothesized word sequence, an HMM is used to estimate the posterior probability of a sentence boundary at each word boundary. The hypotheses are combined using confusion networks to determine the overall most likely events. Experiments show improved detection of sentences for conversational telephone speech, though results are mixed for broadcast news.
Cross-document temporal and spatial person tracking system demonstration
Authors: Heng Ji, Zheng Chen
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Demonstration Session (2009)

Traditional Information Extraction (IE) systems identify many unconnected facts. The objective of this paper is to define a new cross-document information extraction task and demonstrate a system which can extract, rank and track events in two dimensions: temporal and spatial. The system can automatically label the person entities involved in significant events as 'centroid arguments', and then present the events involving the same centroid on a time line and on a geographical map.
Finding the Right Services for a Citizen Portal Lessons Learned from the Norwegian Mypage Portal
Authors: Karin Furuli, Svein Ølnes
Venue: Proceedings of the 8th International Conference on Electronic Government (2009)

Citizen portals constitute a central part of most countries' eGovernment initiatives and are increasingly important in the move from a traditional way of serving the citizens to online services. But merely duplicating already existing electronic services on a citizen portal is a questionable strategy. An evaluation of the Norwegian self service portal Mypage shows that the vast majority of the users will use the responsible agency's own self service portal. This paper discusses how citizen portals can better serve the citizen needs by adding value to already existing electronic services.
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Authors: Carl Olsson, Magnus Oskarsson
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved using singular value decomposition. However this approach fails if the measurement matrix contains missing data.In this paper we propose a new method for estimating missing data. Our approach is similar to that of L 1 approximation schemes that have been successfully used for recovering sparse solutions of under-determined linear systems. We use the nuclear norm to formulate a convex approximation of the missing data problem. The method has been tested on real and synthetic images with promising results.
A Binarization Algorithm Based on Shade-Planes for Road Marking Recognition
Authors: Tomohisa Suzuki, Naoaki Kodaira, Hiroyuki Mizutani, Hiroaki Nakai, Yasuo Shinohara
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

A binarization algorithm tolerant to both gradual change of intensity caused by shade and the discontinuous changes caused by shadows is described in this paper. This algorithm is based on "shade-planes", in which intensity changes gradually and no edges are included. These shade-planes are produced by selecting a "principal-intensity" in each small block by a quasi-optimization algorithm. One shade-plane is then selected as the background to eliminate the gradual change in the input image. Consequently, the image, with its gradual change removed, is binarized by a conventional global thresholding algorithm. The binarized image is provided to a road marking recognition system, for which influence of shade and shadows is inevitable in the sunlight.
Dimensions of Context Affecting User Experience in Mobile Work
Authors: Heli Wigelius, Heli Väätäjä
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

Understanding the contextual factors affecting user experience is essential in designing and evaluating mobile systems for mobile work. The aim of this paper is to explore these contextual factors through three case studies: of safety observation at construction sites, passenger transportation with taxis, and mobile news journalism. For each case study we describe the nature of the mobile work and present our findings on the contextual factors that were found to affect the user experience. Based on the results, we present and discuss five dimensions of mobile work context affecting user experience: 1) social, 2) spatial, 3) temporal, 4) infrastructural, and 5) task context. Compared to earlier frameworks of context for mobile work, the social context as well as the infrastructural context was emphasized in our findings. The presented framework elaborates the dimensions of context affecting user experience of mobile systems and services in mobile work in particular. The framework is also applicable for mobile consumer systems and services.
Multi-Agent Ensemble Models Based on Weighted Least Square SVM for Credit Risk Assessment
Authors: Ligang Zhou, Kin Keung Lai
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Credit risk assessment has become an increasingly important area for financial institutions for recent financial crisis and implementation of Basel II. The quantitative credit scoring models have been developed to help credit managers evaluate customers' credit risk for several decades. Since even a small improvement in credit scoring accuracy can reduce significant loss, the most important objective of risk managers is to improve the decision accuracy. In this study, we construct a new multi-agent ensemble model for credit risk assessment and make a comparison with other seven methods, including other two ensemble models. Each agent in each ensemble model is acted by a weighted least square support vector machines (SVM). The test results shows that weighted SVM and three ensemble models all have good classification accuracy when compared with the traditional methods. Some factors that affect the performance of ensemble method are also discussed.
University of Waterloo at INEX 2008: Adhoc, Book, and Link-the-Wiki Tracks
Authors: Kelly Y. Itakura, Charles L. Clarke
Venue: Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers (2009)

In this paper, we describe University of Waterloo's ap- proaches to the Adhoc, Book, and Link-the-Wiki tracks. For the Adhoc track, we submitted runs for all the tasks, the Focused, the Relevant-in-Context, and the Best-in-Context tasks. The results show that we ranked first among all participants for each task, by the simple scoring of elements using Okapi BM25. In the Book track, we participated in the Book retrieval and the Page-in-Context tasks, by using the approaches we used in the Adhoc track. We attribute our poor performance to lack of training. In the Link-the-Wiki track, we submitted runs for both File-to-File and Anchor-to-BEP tasks, using PageRank [1] algorithms on top of our previous year's algorithms that yielded high performance. The results indicate that our baseline approaches work best, although other approaches have rooms for improvement.
Edition within a Graph Kernel Framework for Shape Recognition
Authors: François-Xavier Dupé, Luc Brun
Venue: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (2009)

A large family of shape comparison methods is based on a medial axis transform combined with an encoding of the skeleton by a graph. Despite many qualities this encoding of shapes suffers from the non continuity of the medial axis transform. In this paper, we propose to integrate robustness against structural noise inside a graph kernel. This robustness is based on a selection of the paths according to their relevance and on path editions. This kernel is positive semi-definite and several experiments prove the efficiency of our approach compared to alternative kernels.
Consistency Checking for Workflows with an Ontology-Based Data Perspective
Authors: Gabriele Weiler, Arnd Poetzsch-Heffter, Stephan Kiefer
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Static analysis techniques for consistency checking of workflows allow to avoid runtime errors. This is in particular crucial for long running workflows where errors, detected late, can cause high costs. In many classes of workflows, the data perspective is rather simple, and the control flow perspective is the focus of consistency checking. In our setting, however, workflows are used to collect and integrate complex data based on a given domain ontology. In such scenarios, the data perspective becomes central and data consistency checking crucial.In this paper, we motivate and sketch a simple workflow language with an ontology-based data perspective (SWOD), explain its semantics, classify possible inconsistencies, and present an algorithm for detecting such inconsistencies utilizing semantic web reasoning. We discuss soundness and completeness of the technique.
Development of a decision-support system for rural eco-environmental management in Yongxin County, Jiangxi Province, China
Authors: Guo H. Huang, Wei Sun, Xiang-hui Nie, Xiao-sheng Qin, Xiao-dong Zhang
Venue: Environmental Modelling Software (2010)

A two-layer DSS for rural sustainable development (DRSD) was developed for the comprehensive planning of socioeconomic development and eco-environment protection in Yongxin County, Jiangxi Province, China. The DRSD considers multiple sectors within a general decision-support framework to generate cross-sector optimal development schemes at a county scale. It integrates a dynamic database system, large-scale linear programming for regional managers, and integer linear programming for farmers, which makes a solid step toward linking farmers' microplanning with administrators' macropolicies. Yongxin, an economically relatively undeveloped and geographically relatively isolated county, was chosen as the paradigm for this DRSD application; this selection provided a good opportunity to analyze the relationships between rapid economic development, ecological destruction, and environmental deterioration within the region. The results from the representative scenario, Sustainable Development, suggested that maximization of overall economic benefits for 23 towns in Yongxin over a 15-year period, from 2007 to 2022 would require relatively small increases in agricultural and horticultural areas, significant increases in scales of livestock, poultry, sericulture, forestry, and fisheries, as well as significant increases in investment in both the secondary and the tertiary industry sectors. Future directions and implementation challenges for this type of DSS were discussed.