ppxscal/embedding_network huggingface dataset:
The Bilingual System MUSCLEF at QA@CLEF 2006
Authors: Brigitte Grau, Anne-Laure Ligozat, Isabelle Robba, Anne Vilnat, Michael Bagur, Kevin Séjourné
Venue: Evaluation of Multilingual and Multi-modal Information Retrieval: 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain, September 20-22, 2006, Revised Selected Papers (2007)

This paper presents our bilingual question answering system MUSCLEF. We underline the difficulties encountered when shifting from a mono to a cross-lingual system, then we focus on the evaluation of three modules of MUSCLEF: question analysis, answer extraction and answer fusion. We finally present how we re-used different modules of MUSCLEF to participate in AVE (Answer Validation Exercise).
Universal e-catalog pattern
Authors: Hesham Saadawi
Venue: Proceedings of the 2006 conference on Pattern languages of programs (2006)

This paper introduces a data modeling design pattern that can help organize and persist information of a catalog in any Relational database management System (RDBMS). The catalog would not be bound to a specific business context and does not need any code maintenance to be re-deployed in different business contexts. Hence this pattern describes a universal electronic catalog. The catalog supports unlimited number of categories and their attributes, and facilitates easy searches and comparisons of stored items.
Towards the Automatic Generation of Analytical End-User Tools Metadata for Data Warehouses
Authors: Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo
Venue: Proceedings of the 25th British national conference on Databases: Sharing Data, Information and Knowledge (2008)

Multidimensional models are used to obtain the required database metadata for implementing the data warehouse. Surprisingly, current approaches for multidimensional modelling overlook the necessity of additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose the use of the Model Driven Architecture (MDA) in order to automatically derive both kinds of metadata in a systematic and integrated way.
An Algorithm for Transfer Learning in a Heterogeneous Environment
Authors: Andreas Argyriou, Andreas Maurer, Massimiliano Pontil
Venue: Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I (2008)

We consider the problem of learning in an environment of classification tasks. Tasks sampled from the environment are used to improve classification performance on future tasks. We consider situations in which the tasks can be divided into groups. Tasks within each group are related by sharing a low dimensional representation, which differs across the groups. We present an algorithm which divides the sampled tasks into groups and computes a common representation for each group. We report experiments on a synthetic and two image data sets, which show the advantage of the approach over single-task learning and a previous transfer learning method.
Kimberlites Identification by Classification Methods
Authors: Yaohui Chai, Aihua Li, Yong Shi, Jing He, Keliang Zhang
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

Kimberlites identification is a very important task for diamond mining. In traditional way, geologists draw upon past experience to do this work. Whether the bedrock should be drilled depends on their analysis of rock samples. This method has two disadvantages. First, as the database increasing, it becomes more difficult to do this work by manual inspection. Secondly, the accuracy is influenced by the expert's experience, and it reaches scarcely 80 percents averagely. So an analytical method to kimberlites identification over large geochemical datasets is demanded. This article applies two methods (SVM and decision tree) to a dataset provided by a mining company. Comparing the performances of these two methods, our results demonstrate that SVM is an effective method for this work.
An algorithm for polyquadratic stabilization of a multi-inputs multimodel with quantified commands: D-stability approach application to a drying blower
Authors: Mongi Besbes, Elyes Maherzi, Mahmoud Ellouze, Radhi Mhiri
Venue: Proceedings of the 8th WSEAS International Conference on Robotics, Control and Manufacturing Technology (2008)

In this paper an algorithm is presented for the stabilization of a non linear and multi-inputs system: a blower temperature described by a multimodel. The originality of this work lies on the fact that the applied control is quantified. In the first stage, a synthesis of a multiobserver, stabilized polyquadratically, with proper characteristics values situated in a disc inside unit circle is presented. The command law, stabilized polyquadratically, is based on the multiobserver and tracing of poles. In a second stage, the computed control can not be directly applied to the plant because of the quantification imposed by the heating resistors. To go over this problem, the variation of the ventilation's speed can compensate for the errors of the command due to the quantification of the heated power. The choice of the optimal ventilation's speed is based on the minimization of a criterion evaluating the distance between the measured output and the desired output.
An Algorithm for Synthesis of Optimal 3-qubit Reversible Circuits Based on Bit Operation
Authors: Zhiqiang Li, Hanwu Chen, Baowen Xu, Xiaoyu Song, Xiling Xue
Venue: Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing (2008)

We use bit operation to construct the novel and perfect Hash function and present an efficient algorithm which can construct optimal quantum reversible logic circuits with various types of gates by using the Hash table and produce quantum circuits with minimal cost in theory. Judging by the internationally recognized reversible functions of three variables, the algorithm not only synthesizes all optimal reversible logic circuits, but also runs extremely faster than other ones. The experimental results show that the average speed of the algorithm which synthesizes circuit with minimum length is 69.8 times that of currently best result [9]
SNMP Trace Analysis Definitions
Authors: Gijs Broek, Jürgen Schönwälder, Aiko Pras, Matúš Harvan
Venue: Proceedings of the 2nd international conference on Autonomous Infrastructure, Management and Security: Resilient Networks and Services (2008)

The Network Management Research Group (NMRG) started an activity to collect traces of the Simple Network Management Protocol (SNMP) from operational networks. To analyze these traces, it is necessary to split potentially large traces into more manageable pieces that make it easier to deal with large data sets and simplify the analysis of the data. This document introduces some common definitions that have been found useful for implementing tools to support trace analysis.
The Consistency and Conformance of Web Document Collection Based on Heterogeneous DAC Graph
Authors: Marek Kopel, Aleksander Zgrzywa
Venue: Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence (2008)

The heterogeneous DAC graph is an extension to a traditional, homogeneous graph representing a Web document collection. In DAC graph, beside documents' relationships, the relationships between documents, authors and concepts can be modeled. The document-author-concept relationships' model is used to measure consistency and conformance of a Web document collection.
Robust Segmentation Process to Detect Incidents on Highways
Authors: Gonçalo Monteiro, João Marcos, Miguel Ribeiro, Jorge Batista
Venue: Proceedings of the 5th international conference on Image Analysis and Recognition (2008)

In this paper a robust segmentation process for detecting incidents on highways is presented. This segmentation process is based on background subtraction and uses an efficient background model initialisation and update to work 24/7. A cross-correlation based shadow detection is also used for minimising ghosts. It is also proposed a stopped vehicle detection system based on the pixel history cache. This methodology has proved to be quite robust in terms of different weather conditions, lighting and image quality. Some experiments carried out on some highway scenarios demonstrate the robustness of the proposed solution.
Realization of an Improved Adaptive Neuro-Fuzzy Inference System in DSP
Authors: Xingxing Wu, Xilin Zhu, Xiaomei Li, Haocheng Yu
Venue: Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks (2007)

Scaled conjugate gradient (SCG) algorithm was used to improve adaptive neuro-fuzzy inference system (ANFIS). It's proved by applications in chaotic time-series prediction that the improved ANFIS converges with less time and fewer iterations than standard ANFIS or ANFIS improved with the Fletcher-Reeves update method. The way in which ANFIS could be improved on the basis of standard algorithm using fuzzy logic toolbox of MATLAB is dwelled on. A convenient method to realize ANFIS in TI 's digital signal processor (DSP) TMS320C5509 is presented. Results of experiments indicate that output of ANFIS realized in DSP coincides with that in MATLAB and validate this method.
Geostatistical modeling of topography using auxiliary maps
Authors: Tomislav Hengl, Branislav Bajat, Dragan Blagojević, Hannes I. Reuter
Venue: Computers Geosciences (2008)

This paper recommends computational procedures for employing auxiliary maps, such as maps of drainage patterns, land cover and remote-sensing-based indices, directly in the geostatistical modeling of topography. The methodology is based on the regression-kriging technique, as implemented in the R package gstat. The computational procedures are illustrated using a case study in the south-west part of Serbia. Two point data sets were used for geostatistical modeling: (1) 2051 elevation points were used to generate DEMs and (2) an independent error assessment data set (1020 points) was used to assess errors in the topo-DEM and the SRTM-DEM. Four auxiliary maps were used to improve generation of DEMs from point data: (1) distance to streams, (2) terrain complexity measured by standard deviation filter, (3) analytical hillshading map and (4) NDVI map derived from the Landsat image. The auxiliary predictors were significantly correlated with elevations (adj.R^2=0.20) and DEM errors (adj.R^2=0.27). By including auxiliary maps in the geostatistical modeling of topography, realizations of DEMs can be generated that represent geomorphology of a terrain more accurately. In addition, downscaling of a coarse 3arcsec SRTM DEM using auxiliary maps and regression-kriging is demonstrated using the same case study. A methodological advantage of regression-kriging, compared to splines, is the possibility to automate the data processing and incorporate multiple auxiliary predictors. The remaining open issues are computational efficiency, application of local regression-kriging algorithms and preparation of suitable auxiliary data layers for such analyses.
Elasticity Effect on the Ink Transfer Process in Gravure Printing
Authors: Suhong Ahn, Sangwon Lee, Yang Na
Venue: Proceeding sof the international conference on Computational Science and Its Applications, Part I (2008)

Non-Newtonian fluid effect was investigated in the ink transfer process of gravure printing applications. It was assumed that the elasticity of the ink can be represented by the constitutive equation of the Oldroyd B model. Continuity, momentum and constitutive equations were integrated in time using a fractional step procedure combined with an immersed boundary technique. Preliminary results show that the velocity and pressure distributions are modified significantly when the elasticity effect is included in the analysis. The fact that the non-Newtonian flow field is different from the counterpart of the Newtonian field would suggest that the analysis of the ink transfer mechanism without considering the elasticity can introduce a sizable error.
Voting in the Medieval Papacy and Religious Orders
Authors: Ian Mclean, Haidee Lorrey, Josep Colomer
Venue: Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence (2007)

We take institutions seriously as both a rational response to dilemmas in which agents found themselves and a frame to which later rational agents adapted their behaviour in turn. Medieval corporate bodies knew that they needed choice procedures. Although the social choice advances of ancient Greece and Rome were not rediscovered until the high middle ages, the rational design of choice institutions predated their rediscovery and took some new paths. Both Ramon Llull (ca 1232-1316) and Nicolaus of Cusa (a.k.a Cusanus; 1401-64) made contributions which had been believed to be centuries more recent. Llull promotes the method of pairwise comparison, and proposes the Copeland rule to select a winner. Cusanus proposes the Borda rule, which should properly be renamed the Cusanus rule.Voting might be needed in any institution ruled by more than one person, where decisions could not simply be handed down from above. Medieval theologians no doubt believed that God's word was handed down from above; but they well knew that they often had to decide among rival human interpretations of it. The Church faced its own decision problem every time a new Pope needed to be elected. Bodies not directly in the hierarchy of the Church had to evolve their own decision procedures. The chief such bodies were commercial and urban corporations; religious orders; and universities.The disagreement between Llull and Cusanus raises the issue: should voting be regarded as a method of aggregating judgments or as a method of aggregating interests? In the former interpretation (only), voting procedures are a solution to a problem of approximate reasoning. There is an unknown, true state of affairs (for medieval thinkers, divine will). A voting procedure aggregates unreliable individual perceptions of the will of God to a more reliable group judgment of it. In the rougher world of Cusanus, and probably of electors to the papacy and to Dogeships, only at most lip service is paid to the will of God, and voting is a process of aggregating interests.
A Definition Approach to Smart Logistics
Authors: Dieter Uckelmann
Venue: Proceedings of the 8th international conference, NEW2AN and 1st Russian Conference on Smart Spaces, ruSMART on Next Generation Teletraffic and Wired/Wireless Advanced Networking (2008)

Having the right product at the right time at the right place and in the right condition --- these are the well-known requirements for logistics and transportation in general. But fulfilling these requirements is getting more and more complex in a dynamically changing logistic environment. There is a shift from traditional supply chains to open supply networks. Long-lasting business relationships are overrun by short-term business connections. The highly dynamic logistic markets and the advancing complexity of logistic networks require new methods, products and services. Aspects such as flexibility, adaptability and proactivity gain importance and can only be achieved by integration of new technologies. While problem initiated approaches usually only lead to minor improvements, technology driven approaches can evoke more radical changes. The technology driven approach that is used to define Smart Products and Smart Services is utilized and extended to define "Smart Logistics". Within the paper a definition of Smart Logistics is given. Additionally current technical components of Smart Logistics are specified. 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
A Probabilistic Segmentation Scheme
Authors: Dmitrij Schlesinger, Boris Flach
Venue: Proceedings of the 30th DAGM symposium on Pattern Recognition (2008)

We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent upon application, the latter is interpreted either as a perturbation or as meaningful object characteristic. We discuss the recognition task for segmentation, learning tasks for parameter estimation as well as different formulations of shading estimation tasks.
Utilizing Qualitative Data Analysis Software
Authors: Sungsoo Hwang
Venue: Social Science Computer Review (2008)

Atlas.ti is qualitative data analysis (QDA) software, and its recent version 5.2.12 is now more user friendly as a Windows-based application. Atlas.ti provides some very useful tools in academic research, particularly for social science disciplines. This review offers a case study of utilizing a QDA software package, with two examples of research presented to show how to utilize Atlas.ti. This will serve as a practical guide for qualitative researchers who are beginning to use the QDA software Atlas.ti.
Holographic Data Storage
Authors: Demetri Psaltis, Geoffrey W. Burr
Venue: Computer (1998)

Digital data storage using volume holograms offers high density and fast readout. Current research concentrates on system design, understanding and combating noise, and developing appropriate storage materials. Possible applications include fast data servers and high-capacity optical disks.
Time Delay Estimation of Reverberant Meeting Speech: On the Use of Multichannel Linear Prediction
Authors: E. Cheng, I. S. Burnett, C. Ritz
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

Effective and efficient access to multiparty meeting recordings requires techniques for meeting analysis and indexing. Since meeting participants are generally stationary, speaker location information may be used to identify meeting events e.g., detect speaker changes. Time-delay estimation (TDE) utilizing cross-correlation of multichannel speech recordings is a common approach for deriving speech source location information. Recent research improved TDE by calculating TDE from linear prediction (LP) residual signals obtained from LP analysis on each individual speech channel. This paper investigates the use of LP residuals for speech TDE, where the residuals are obtained from jointly modeling the multiple speech channels. Experiments conducted with a simulated reverberant room and real room recordings show that jointly modeled LP better predicts the LP coefficients, compared to LP applied to individual channels. Both the individually and jointly modeled LP exhibit similar TDE performance, and outperform TDE on the speech alone, especially with the real recordings.
W-stability theorems of nonlinear impulsive functional differential systems
Authors: Xilin Fu, Xiaodi Li
Venue: Journal of Computational and Applied Mathematics (2008)

This paper studies the W-stability of the solutions of nonlinear impulsive functional differential systems by using Lyapunov functions and Razumikhin technique. Some results that guarantee the W-stability and W-uniform stability are obtained here. And the asymptotical stability criteria of nonlinear impulsive functional differential systems are then established by using the W-uniform stability, which show the advantages of the obtained results.
Model-Based Analysis and Synthesis of Time-Varying Mesh
Authors: Takashi Maeda, Toshihiko Yamasaki, Kiyoharu Aizawa
Venue: Proceedings of the 5th international conference on Articulated Motion and Deformable Objects (2008)

Time-varying mesh (TVM) is a technique that describes full shape and motion of a real-world moving object. Thus, TVM is used to capture and reproduce human behavior and natural movements precisely, such as the expression of the face or small changes in cloths. But on the other hand, TVM requires large storage space and computational cost. To solve this problem, we propose a framework of motion editing and synthesis. In our approach, a skeleton model is extracted from each frame and motion tracking and analysis are conducted using the skeleton models. Then, a representative frame is deformed based on the extracted motion information. As a result, 3D scene representation with much smaller data size is made possible.
European Portuguese Articulatory Based Text-to-Speech: First Results
Authors: António Teixeira, Catarina Oliveira, Plínio Barbosa
Venue: Proceedings of the 8th international conference on Computational Processing of the Portuguese Language (2008)

In this paper we present recent work on the development of Linguistic Models, resulting in a first "complete" articulatory-based TTS system for Portuguese. The system, based on TADA system, integrates our past work in automatic syllabification and grapheme-phone conversion plus a first gestural specification of European Portuguese sounds. The system was integrated with SAPWindows, an articulatory synthesizer for Portuguese. A demonstration of the system capabilities and a first perceptual evaluation are presented.
ICT and Special Educational Needs: Using Meta-synthesis for Bridging the Multifaceted Divide
Authors: Ying Liu, Annita Cornish, June Clegg
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

We elicit some critical views on how the applications of information communication technology (ICT) can be approached for people with special educational needs (SEN). The findings, based on a number of concrete case-studies, clearly confirm that, despite of the huge research and developmental effort having been made for advancing ICT applications in education, ICT as a whole is surprisingly lacking a systematic discourse with educational domains, even much less concerning those who have learning difficulties. Whilst well known technical tools such as word-processors, screen-reading software and problem-solving software packages still provide useful "snapshots" of ICT applications from particular points in time, we argue that these pictures now require updating. To enable the ICT development crossing multi-disciplinary boundaries, a meta-synthesis approach is innovated. The approach consists of four inter-operated components through ICT, i.e., assistive, sensory, communicative and interactive component.
Private IP address to name resolution statistics
Authors: Vesselin Kolev, Stefan Dimitrov, Milena Ivanova, Vladislav Georgiev
Venue: Proceedings of the 9th WSEAS International Conference on Evolutionary Computing (2008)

A 2-node implementation of AS112 system in Sofia University (SU) network is presented. The node serves as a "black hole" for the parasitic traffic generated in an attempt to register private IP addresses in the specified primary name server for the RFC1918 zones. Statistics is presented on which conclusions about private IP traffic are made.
Optics Goes Where No Electronics Can Go: Zero-Energy-Dissipation Logic
Authors: H. John Caulfield
Venue: Proceedings of the 1st international workshop on Optical SuperComputing (2008)

Optical computing has a seemingly eternal problem. It always appears to be in competition with electronic computing. Moore's law and the advantages of digital over analog processing make pure electronics superior in almost every case. Optical computing uses come when the signal is already in the optical domain or when it is used to reduce the heat load in hybrid optical-electronic chips. I describe here work done with a number of bright opticists and logicians over the last four years that produces using optics logic that dissipates no energy and accommodates whatever bandwidth the input and output laser modulation affords. Moreover, we can show why electronics alone can never accomplish those important properties.
Introduction to the Clipper Architecture
Authors: Colin Hunter
Venue: IEEE Micro (1987)

This 32-bit, three-chip module combines RISC and CISC features with mainframe-style cache and three-phase pipeline designs.