ppxscal/embedding_network huggingface dataset:
DocEmoX: A System for the Typography-Derived Emotional Annotation of Documents
Authors: Georgios Kouroupetroglou, Dimitrios Tsonos, Eugenios Vlahos
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

This work presents the design and implementation of the DocEmoX system for the automated typography-derived emotional extraction and annotation of printed and electronic documents. The DocEmoX system targets the Design-for-All based multimodal accessibility of documents. The methodology is based on the results derived from a number of readers' emotional state response experiments that model the mapping of any combination of typographic elements into specific analogous variations of the three emotional dimensions (Valence/Pleasure, Arousal and Potency/ Dominance) using a set of Emotional Rules. DocEmoX implements these Emotional Rules in XSL format and produces the annotated output document following the ODF standard and the W3C EmotionML recommendations.
SimulPh.D.: A Physical Design Simulator Tool
Authors: Ladjel Bellatreche, Kamel Boukhalfa, Zaia Alimazighi
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

The importance of physical design has been amplified as query optimizers became sophisticated to cope with complex decision support applications. During the physical design phase, the database designer (DBD) has to select optimization techniques to improve query performance and to well manage different resources assigned for his/her databases. The decision of using these optimization techniques is taken either before or after creating the database schema. Once this decision taken, DBD has to perform three main tasks: (i) choosing one or several optimization techniques, (ii) managing interdependencies among the chosen techniques and (iii) choosing a selection algorithm for each technique. Faced to these crucial choices, the development of simulators intended to improve the quality of the physical design represents challenging issue. In this paper, we propose a simulator, called SimulPh.D that assists DBD to perform different choices thanks to user friendly graphical interfaces.
Private Mutual Authentication and Conditional Oblivious Transfer
Authors: Stanisław Jarecki, Xiaomin Liu
Venue: Proceedings of the 29th Annual International Cryptology Conference on Advances in Cryptology (2009)

A bi-directional Private Authentication, or Unlinkable Secret Handshake, allows two parties to authenticate each other as certified by given certification authorities (i.e. affiliated with given groups), in a mutually private way, in the sense that the protocol leaks no information about either participant to a party which does not satisfy that participant's authentication policy. In particular, the protocol hides what group this participant belongs to, and protocol instances involving the same participant are unlinkable. We construct the first realization of such private authentication using O(1) exponentiations and bilinear maps, secure under Strong Diffie-Hellman and Decisional Linear assumptions.Our protocols rely on a novel technical tool, a family of efficient Private Conditional Oblivious Transfer (COT) protocols, secure under DDH, for languages defined by modular arithmetic constraints (e.g. equality, inequality, sums, products) on discrete-log representations of some group elements. (Recall that (w 1,...,w n ) is a representation of C in bases (g 1,...,g n ) if $C=g_1^{w_1}...g_n^{w_n}$.) A COT protocol for language L allows sender S to encrypt message m "under" statement x so that receiver R gets m only if R holds a witness for membership of x in L, while S learns nothing. A private COT for L hides not only message m but also statement x from any R that does not know a witness for x in L.
Interactive sentence combining and paraphrasing in support of integrated writing and grammar instruction: a new application area for natural language sentence generators
Authors: Karin Harbusch, Camiel Van Breugel, Ulrich Koch, Gerard Kempen
Venue: Proceedings of the Eleventh European Workshop on Natural Language Generation (2007)

The potential of sentence generators as engines in Intelligent Computer-Assisted Language Learning and teaching (ICALL) software has hardly been explored. We sketch the prototype of COMPASS, a system that supports integrated writing and grammar curricula for 10 to 14 year old elementary or secondary schoolers. The system enables first- or second-language teachers to design controlled writing exercises, in particular of the "sentence combining" variety. The system includes facilities for error diagnosis and on-line feedback. Syntactic structures built by students or system can be displayed as easily understood phrase-structure or dependency trees, adapted to the student's level of grammatical knowledge. The heart of the system is a specially designed generator capable of lexically guided sentence generation, of generating syntactic paraphrases, and displaying syntactic structures visually.
Automatic spoken document processing for retrieval and browsing
Authors: Ciprian Chelba, T. J. Hazen
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Tutorial Abstracts on XX (2006)

Ever increasing computing power and connectivity bandwidth together with falling storage costs is resulting in overwhelming amounts of multimedia data being produced, exchanged, and stored. One key application area in this realm is the search and retrieval of spoken audio documents. As storage becomes cheaper, the availability and usefulness of large collections of spoken documents is limited strictly by the lack of adequate technology to exploit them. Manually transcribing speech is expensive and sometimes outright impossible due to privacy concerns. This leads us to exploring an automatic approach to searching and navigating spoken document collections. This tutorial will present an overview of speech transcription, indexing, and search technologies for spoken documents, with an emphasis on a corpus containing recorded academic lectures. The tutorial will point out general problems in this area and suggest possible solutions. Included in the tutorial will be a discussion of scenarios and previous projects in the area of spoken document retrieval, issues of automatic transcription of long audio files, and techniques for the indexing and retrieval of spoken audio files.
Domain adaptation with latent semantic association for named entity recognition
Authors: Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang, Xian Wu, Zhong Su
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

Domain adaptation is an important problem in named entity recognition (NER). NER classifiers usually lose accuracy in the domain transfer due to the different data distribution between the source and the target domains. The major reason for performance degrading is that each entity type often has lots of domain-specific term representations in the different domains. The existing approaches usually need an amount of labeled target domain data for tuning the original model. However, it is a labor-intensive and time-consuming task to build annotated training data set for every target domain. We present a domain adaptation method with latent semantic association (LaSA). This method effectively overcomes the data distribution difference without leveraging any labeled target domain data. LaSA model is constructed to capture latent semantic association among words from the unlabeled corpus. It groups words into a set of concepts according to the related context snippets. In the domain transfer, the original term spaces of both domains are projected to a concept space using LaSA model at first, then the original NER model is tuned based on the semantic association features. Experimental results on English and Chinese corpus show that LaSA-based domain adaptation significantly enhances the performance of NER.
A precompiler to reduce the memory footprint of multiscale PDE solvers in C++
Authors: H. -J. Bungartz, W. Eckhardt, T. Weinzierl, C. Zenger
Venue: Future Generation Computer Systems (2010)

A PDE solver's value is increasingly co-determined by its memory footprint, as the increase of computational multicore power overtakes the memory access speed, and as memory restricts the maximum experiment size. Tailoring a code to require less memory is technical challenging, error-prone, and hardware-dependent. Object-oriented code typically consumes much memory, though developers favour such high-level languages offering meaningful models and good maintainability. We augment the language C++ with new keywords branding records to be memory-critical. Our precompiler DaStGen then transforms this augmented specification into plain C++ optimised for low memory requirements. Hereby, it encodes multiple attributes with fixed range within one variable, and it reduces the number of bits per floating point value. The tool also generates one user-defined MPI data type per class and, thus, facilitates the construction of parallel codes with small messages.
A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution
Authors: Marco A. Domingues, Renata M. Souza, Francisco José Cysneiros
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The aim of Symbolic Data Analysis (SDA) is to provide a set of techniques to summarize large data sets into smaller ones called symbolic data tables. This paper considers a kind of symbolic data called Interval-Valued Data (IVD) which stores data intrinsic variability and/or uncertainty from the original data set. Recent works have been proposed to fit the classic linear regression model to symbolic data. However, those works do not consider the presence of symbolic data outliers. Generally, most specialists treat outliers as errors and discard them. Nevertheless, a single interval-data outlier holds significant information which should not be discarded or ignored. This work introduces a prediction method for IVD based on the symmetrical linear regression (SLR) analysis whose response model is less susceptible to the IVD outliers. The model considers a symmetrical distribution for error which allows to the model possibility of applying regular statistical hypothesis tests.
Soft Measure of Visual Token Occurrences for Object Categorization
Authors: Yanjie Wang, Xiabi Liu, Yunde Jia
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

The improvement of bag-of-features image representation by statistical modeling of visual tokens has recently gained attention in the field of object categorization. This paper proposes a soft bag-of-features image representation based on Gaussian Mixture Modeling (GMM) of visual tokens for object categorization. The distribution of local features from each visual token is assumed as the GMM and learned from the training data by the Expectation-Maximization algorithm with a model selection method based on the Minimum Description Length. Consequently, we can employ Bayesian formula to compute posterior probabilities of being visual tokens for local features. According to these probabilities, three schemes of image representation are defined and compared for object categorization under a new discriminative learning framework of Bayesian classifiers, the Max-Min posterior Pseudo-probabilities (MMP). We evaluate the effectiveness of the proposed object categorization approach on the Caltech-4 database and car side images from the University of Illinois. The experimental results with comparisons to those reported in other related work show that our approach is promising. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Application of an Enhanced Location System with the Virtual Multi-Sensor
Authors: Zhen Sun, Hong Huang, Xuemei Ren
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01 (2009)

Due to uncertainties in the working environment and effect of various noises, it is hard for location system to estimate the state and track the target directly. Therefore a strongly algorithm has a great significant for the location system. In this paper we propose an accurate kinetic model obtained from experiments in the Robocup 3D Serve system and apply the virtual multi-sensor collaboration method to research on the state estimation in Extended Kalman Filter algorithms with the delayed observation as well as analyze filtering stability under the uncertain observation condition based this system. The experiment results show that the algorithms through the application of virtual multi-sensor have a good performance even under the observation delay.
Empirical analysis of risk-taking behavior in IT platform migration decisions
Authors: Seonyoung Shim, Myungsin Chae, Byungtae Lee
Venue: Computers in Human Behavior (2009)

Information technology (IT) platform migration incurs a great deal of risk because of the massive rewriting of legacy systems and a wide range of new technology adoptions. Therefore IT platform decisions need to be made in a mindful manner because of the high degree of investment risk. However, more aggressive migrations, compared to the global trend, to an open system have been observed in Korean organizations. This phenomenon defies the common understanding of IT investment risk and encourages the investigation of the elusive characteristics underlying IT investment decisions. The effect of IT decision-makers' perceptions and risk propensity on their IT platform migration decisions is examined in the context of risky decisions. In addition to risk perception, decision-makers' risk propensity also has a significant effect on IT investment decisions. By observing the monarchical IT governance and IT-biased careers of decision-makers, some implications of large-scale IT investment decisions are derived.
Passive-Landmark Based Network Distance Prediction
Authors: Wu Guofu, Dou Qiang, Fu Huiqing, Ban Dongsong, Dou Wenhua
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

This paper presents a novel passive-landmark based network distance prediction method—PLDP. Unlike other methods, landmarks in PLDP only need to respond to probes passively, while not measuring distances to other landmarks actively. Existing public servers, such as DNS servers, can be used as landmarks. So cost of deployment can be reduced greatly Experiment results show that both PLDP and GNP are efficient, having their own tiny advantages for different accuracy metrics. PLDP is more resilient to landmark failures, and much faster for prediction.
Study on Genetic Algorithm of Changeable Structure and Its Application to the Lag Time of Watershed
Authors: Zhou Yuliang, Lu Guihua, Jin Juliang, Zhang Libing
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

In order to overcome the limitations of binary-encoded genetic algorithm, an improved real-encoded genetic algorithm of changeable structure was proposed, and then the algorithm was applied to establish the model of the lag time of watershed. In the model, the rainfall intensity, rainfall amount,antecedent precipitation index, and location of rainfall centroid were adopted as input indexes of watershed rainfall, and the lag time of watershed was adopted as output index. Dapoling, Changtaiguan and Xixian subwatershed of Huaihe river basin were selected as studied area, the model results show that the relation between the lag time of watershed and properties of watershed and rainfall in three nested subwatersheds are identical, and the mean absolute error of the lag time of watershed is less than 1.5h for the established model; the proposed real-encoded genetic algorithm of changeable structure is superior to the binary-encoded in precision.
Optimization of the Giant Hydraulic Press's Synchronism-Balancing Control System
Authors: ZhongWei Liu, ShaoJun Liu, Minghui Huang, Yucai Zhou, YingJian Deng
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The 300MN hydraulic die press is our country national defense and the infrastructure essential equipment, it is equipped with the synchronism-balancing control system, it is very important in improving the process precision of the product, ameliorating the force standing state of the die forging press frame, and extending the life of the die forging press body and the moulds. In this paper, through establishing the mathematical model of synchronism-balancing to analyze the factors affecting control system, and optimized.
Practice theory & the foundations of digital document encoding
Authors: Paul Scifleet, Susan P. Williams
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

Designing digital documents in complex, changing information environments presents a number of challenges for both academics and practitioners. In particular, a number of contradictory views about the nature of digital documents raise questions about what factors shape the task of document encoding. To date there have been few studies that explore the relationship between human document encoders and the documents they produce, where the process of documentation embedded in encoding is the focus. In this paper we argue that to support and improve the processes of digital document development it is essential that we gain a clearer understanding of context and the situated, inter-subjective nature of human engagement in documentary practice. We present a methodology for understanding such documentary practices, which considers digital representation through the lens of practice theory and presents a conceptual framework for understanding the complex and changing dimensions of document encoding that are challenging both research and practice.
New perspectives on learning through (game) design
Authors: Elisabeth R. Hayes, James Paul Gee, Ivan Games, Robert J. Torres, Kylie Peppler, Yasmin B. Kafai, Nichole Pinkard, Eric Klopfer, Hal Scheintaub, Maryanna Rogers, Karin S. Forssell, Caitlin Kennedy Martin, Brigid Barron, Wanda Eugene, Shaundra B. Daily, Ugochi Acholonu, Lori Takeuchi, Sarah Walter, Kristen Briggs
Venue: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3 (2008)

This session will explore different approaches to the use of computer game design in formal/informal learning environments. Game design is becoming a popular strategy for enhancing young people's interest and skills with computer technology, and for purposes ranging from deepening their understanding of scientific principles to fostering critical media literacy. The participants will present research findings that highlight similarities and differences in tools, pedagogies, purposes, and outcomes of game design activities. Game design is often presumed to be appealing to learners who ordinarily might not be motivated to learn through traditional instruction, and we will give particular attention to the significance of race, class, and gender in student engagement and learning through design.
Economic Analysis of Pricing Methods of Telecom Services
Authors: Zi-yang Cheng, Shou-lian Tang
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Telecom industry plays an important role in national economic development because of its extensive external economic advantages; thus, it is very important to discuss the pricing methods of the telecom services. According to the economic analysis of the two circumstances of the telecommunications businesses, which is based on realizing the maximum of social welfare (from the standpoint of consumers) and realizing the maximum of profits (from the standpoint of telecom operators), this paper discusses the cost characteristics of the telecommunications businesses, and points out that the telecom operators pursuing the maximum of profit set higher prices than they do when pursuing the maximum of social welfare. This study shows that regulated, flexible discriminatory pricing based on two-part tariff is the development trend of telecom services, which is determined by the characteristics of the telecom services, competition, demand-price elasticity and other factors.
A Distributed Shared Memory Architecture for Occasionally Connected Mobile Environments
Authors: Christophe Schneble, Thomas Seidmann, Hansjörg Huser
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

In this paper we present a distributed cache architecture for occasionally connected systems. The system is realised using an underlying P2P-infrastructure. The gridNet Framework provides a transparent interface for working with distributed cache-objects. The paper also contains a description of an envisioned example application running on top of the GridNet framework.
Effects of random system properties on the thermal buckling analysis of laminated composite plates
Authors: Achchhe Lal, B. N. Singh, Rajesh Kumar
Venue: Computers and Structures (2009)

This paper examines the effect of random system properties on thermal buckling load of laminated composite plates under uniform temperature rise having temperature dependent properties using HSDT. The system properties such as material properties, thermal expansion coefficients and thickness of the laminate are modeled as independent random variables. A C^0 finite element is used for deriving the eigenvalue problem. A Taylor series based first-order perturbation technique is used to handle the randomness in the system properties. Second-order statistics of the thermal buckling load are obtained. The results are validated with those available in the literature and Monte Carlo simulation.
A Lattice-Gas Model of Fluid Flow through Tortuous Channels of Hydrophilous and Hydrophobic Porous Materials
Authors: Olga Bandman
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

A cellular automata (CA) approach is proposed for simulating a fluid flow through the porous material with tortuous channels and different wetting properties of pore walls. The approach aims to combine CA methods both for construction the structure of porous material model and to simulate the fluid flow through it. It is shown that any kind of tortuous structure may be obtained by pattern formation CA evolution, which is then used as a medium for Lattice Gas CA model application. The model is provided by special boundary conditions to account for additional tension forces between solid and liquid substances, determining the hydrophobic and hydrophilous properties of the material. The model has been tested on a small 2D array to obtain some dependencies of flow velocity on the tortuosity and wetting properties of pore walls. Parallel implementation of flow simulation through a carbon electrode of a hydrogen fuel cell is also performed, demonstrating high efficiency (>70%) of parallelization.