ppxscal/embedding_network huggingface dataset:
Supporting Appropriate Communication Media Selection in Ubiquitous Environment
Authors: Seint Seint Aye, Kyoji Kawagoe
Venue: Proceedings of the 2008 International Conference on Multimedia and Ubiquitous Engineering (2008)

Communicating with someone via the right communication media seems to be difficult nowadays as people use various mode of communication and senders do not have any knowledge about receiver's current communication media, especially in ubiquitous environment. Thus, we propose the method how the most appropriate media to reach the receiver can be selected based on the effective measures. In the paper, a preliminary evaluation of the proposed method is also described to show its effectiveness. We are developing a research prototype system to support the sender with the information of the best reachable media to the receiver.
Pullout capacity of a reinforced soil in drained and undrained conditions
Authors: Ahmed Bayoumi, Antonio Bobet, Junhwan Lee
Venue: Finite Elements in Analysis and Design (2008)

A finite element model is built to analyse the pullout capacity of a stiff inclusion embedded in a soil matrix under both drained and undrained conditions. The influence of several parameters, including soil/reinforcement friction and vertical stress, on the pullout capacity of clean and silty sands reinforced with a steel strip is investigated. The ratio of undrained to drained pullout capacities ranges approximately from 0.58 to 0.89 depending on the interface friction coefficient and vertical stress. The most important factor for the pullout capacity in both drained and undrained conditions is the coefficient of friction at the interface. Other parameters such as the relative density of the sand, the overburden pressure, the coefficient of lateral pressure, or the soil model used, have a relatively smaller effect.
Imprintability of polymers for thermal nanoimprint
Authors: H. -C. Scheer, N. Bogdanski, M. Wissen, S. Möllenbeck
Venue: Microelectronic Engineering (2008)

This investigation follows the idea to characterise polymers for thermal imprint, in contrast to the classical rheological characterisation route, directly by means of an imprint process. For this purpose the polymers under investigation, a PS and a PMMA of comparable molecular weight (350kg/mol) are imprinted at different temperatures under conditions of partial cavity filling. The development of characteristic effects, namely physical self-assembly, limited imprint depth and recovery is investigated. Imprintability test results are correlated with parameters obtained from rheology, in particular with the viscosity, the minimum flow time constant and the elastic compliance. In addition, the temperature behaviour is discussed in terms of the WLF-parameters. It turns out, that PMMA requires lower molecular weights than PS for efficient thermal imprint. Differences in the recovery behaviour of both materials can be understood from the elastic compliance and time constants measured. An optimum viscosity for thermal imprint at around 10^6Pas is estimated.
Articulatory Reproduction of Voices of Hearing-Impaired by a Talking Robot
Authors: Hideyuki Sawada, Mitsuki Kitani, Yasumori Hayashi
Venue: Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies (2007)

A talking and singing robot which adaptively learns the vocalization skill by an auditory feedback learning is being developed. The robot consists of motor-controlled vocal organs such as vocal cords, a vocal tract and a nasal cavity to generate a natural voice imitating a human vocalization. The robot is applied to the training system of speech articulation for the hearing-impaired people, because the robot is able to reproduce their vocalization and to teach them how it is improved to generate clear speech. The paper briefly introduces the mechanical construction of the robot and how it autonomously acquires the vocalization skill in the auditory feedback learning by listening to human speech. Then the training system is described, together with the evaluation of the speech training by auditory impaired people.
The 22 minimal dichotomy decompositions of the K5-distance
Authors: Bernard Fichet
Venue: Discrete Applied Mathematics (2008)

In this note, we exhibit the 22 minimal dichotomy decompositions of the K"5-distance.The proof of exhaustivity is simple and relatively short. A simple checking of the solutions gives an immediate validation of two conjectures concerning the dimensionality (known result for five points) and principal component analysis (unknown result).
The Major Threatening Factors on Approaching Extinction Population of Wild Chinese Alligator
Authors: Zhanji Gui, Chunbo Xing
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

By established dynamical models, we found the major threatening factors of wild Chinese alligator (Alligator sinensis). Simulation results showed: under the current situation, actually, it is impossible to restore its wild population by returning artificially breeding population to nature. It is obviously not appropriate that what have done now for controlling the survival tendency of Chinese alligator.
Trees, set compositions and the twisted descent algebra
Authors: Frédéric Patras, Manfred Schocker
Venue: Journal of Algebraic Combinatorics: An International Journal (2008)

We first show that increasing trees are in bijection with set compositions, extending simultaneously a recent result on trees due to Tonks and a classical result on increasing binary trees. We then consider algebraic structures on the linear span of set compositions (the twisted descent algebra). Among others, a number of enveloping algebra structures are introduced and studied in detail. For example, it is shown that the linear span of trees carries an enveloping algebra structure and embeds as such in an enveloping algebra of increasing trees. All our constructions arise naturally from the general theory of twisted Hopf algebras.
Integer least squares: sphere decoding and the LLL algorithm
Authors: Sanzheng Qiao
Venue: Proceedings of the 2008 C3S2E conference (2008)

This paper considers the problem of integer least squares, where the least squares solution is an integer vector, whereas the coefficient matrix is real. In particular, we discuss the sphere decoding method in communications. One of the key issues in sphere decoding is the determination of the radius of search sphere. We propose a deterministic method for finding a radius of search sphere. Also, we investigate the impact of the LLL algorithm on the computational complexity of the sphere decoding method.
An immersed boundary-lattice-Boltzmann method for the simulation of the flow past an impulsively started cylinder
Authors: Alexandre Dupuis, Philippe Chatelain, Petros Koumoutsakos
Venue: Journal of Computational Physics (2008)

We present a lattice-Boltzmann method coupled with an immersed boundary technique for the simulation of bluff body flows. The lattice-Boltzmann method for the modeling of the Navier-Stokes equations, is enhanced by a forcing term to account for the no-slip boundary condition on a non-grid conforming boundary. We investigate two alternatives of coupling the boundary forcing term with the grid nodes, namely the direct and the interpolated forcing techniques. The present LB-IB methods are validated in simulations of the incompressible flow past an impulsively started cylinder at low and moderate Reynolds numbers. We present diagnostics such as the near wall vorticity field and the drag coefficient and comparisons with previous computational and experimental works and assess the advantages and drawbacks of the two techniques.
Distributed Video Coding: Selecting the most promising application scenarios
Authors: Fernando Pereira, Luis Torres, Christine Guillemot, Touradj Ebrahimi, Riccardo Leonardi, Sven Klomp
Venue: Image Communication (2008)

Distributed Video Coding (DVC) is a new video coding paradigm based on two major Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. Recently, practical DVC solutions have been proposed with promising results; however, there is still a need to study in a more systematic way the set of application scenarios for which DVC may bring major advantages. This paper intends to contribute for the identification of the most DVC friendly application scenarios, highlighting the expected benefits and drawbacks for each studied scenario. This selection is based on a proposed methodology which involves the characterization and clustering of the applications according to their most relevant characteristics, and their matching with the main potential DVC benefits.
A sudoku game for people with motor impairments
Authors: Stéphane Norte, Fernando Lobo
Venue: Proceedings of the 13th annual conference on Innovation and technology in computer science education (2008)

Educational games are a beneficial activity motivating a large number of students in our society. Unfortunately, disabled people have reduced opportunities when using a computer game. We have created a new Sudoku game for people whose motion is impaired, called Sudoku Access. This special interface allows the control of the game by voice and/or a single switch. With this Sudoku puzzle we can help more people to get involved in computer games and contribute to develop logic thinking and concentration in students.
A Multiscale Approach for Surface-enhanced Raman Spectroscopy (SERS) Spectrum Representation and its Application to Bacterial Discrimination
Authors: Tsung-Heng Tsai, Ting-Ting Liu, Yung-Ching Huang, Yu Chen, Tian-Jiun Liu, You-Hsuan Lin, Yuh-Lin Wang, Juen-Kai Wang, Da-Wei Wang
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 02 (2008)

A multiscale approach for peak representation and identification is proposed in the context of surface-enhanced Raman spectroscopy (SERS). The SERS spectrum is naturally composed of peaks with different preferred scales, and some tiny but reproducible peaks can be important distinguishing factors. However, if only a single scale is employed, there is a significant probability that a tiny peak will be overlooked because its preferred scale might be far away from the chosen scale. In contrast to many established approaches, the proposed method is able to adaptively characterize each peak on its preferred scale so that relevant information is not overlooked. We demonstrate the merit and biological relevance of multiscale peak identification with spectra from real biological experiments. In addition, the practicability of the proposed approach is evaluated on two bacterial discrimination tasks. The proposed method outperforms the single-scale approach, which is optimized trial-by-trial in the experiments.
Towards intelligent assistance for to-do lists
Authors: Yolanda Gil, Varun Ratnakar
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2008)

Assisting users with to-do lists presents new challenges for intelligent user interfaces. This paper presents a detailed analysis of to-do list entries jotted by users of a system that automates tasks for users that we would like to extend to assist users with their to-do entries. We also present four distinct stages of interpretation of to-do entries that can be accomplished and evaluated separately. A system that has good performance in any of these four stages can provide intelligent assistance that is useful to users.
An enhanced web robot for the CINDI system
Authors: Rui Chen, Bipin C. Desai
Venue: Proceedings of the 2008 C3S2E conference (2008)

Focused web crawlers are getting increasing attention as an effective approach for digital library construction. CINDI Robot is a focused web crawler digging and collecting online academic and scientific documents in computer science and software engineering field for the CINDI system. In this paper, we present the basic design of CINDI Robot and introduce the interactions of CINDI components.
Evaluation of a Dominance-Based Rough Set Approach to Interface Design
Authors: Timothy Maciag, Daryl H. Hepting, Robert J. Hilderman, Dominik Slezak
Venue: Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies (2007)

This paper explores refinements to methods used in a procedure being developed by the authors to personalize user interfaces for online shopping support tools. In the authors' original procedure, classical methods in rough set theory are used in conjunction with traditional algorithms in web usage mining. This paper will explore an alternative approach, specifically the dominance-based rough set approach (DRSA), for use with the authors' original procedure. DRSA has its foundations in the classical rough set approach (CRSA). However unlike CRSA, DRSA considers feature/preference-ordered data. In web usage mining analyses, where elicitation of user preferences is a common task, feature/preference order is an important factor and may provide insights that classical/traditional approaches may omit. The authors discuss how DRSA may benefit and improve their original procedure and discuss how the information gained from DRSA analyses could be used to further build their original procedure by enabling item ordering and feature highlighting. This paper will describe the research process, outcomes, and outline opportunities for future work.
Clustering algorithm for intuitionistic fuzzy sets
Authors: Zeshui Xu, Jian Chen, Junjie Wu
Venue: Information Sciences: an International Journal (2008)

The intuitionistic fuzzy set (IFS) theory, originated by Atanassov [K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20 (1986) 87-96], has been used in a wide range of applications, such as logic programming, medical diagnosis, pattern recognition, and decision making, etc. However, so far there has been little investigation of the clustering techniques of IFSs. In this paper, we define the concepts of association matrix and equivalent association matrix, and introduce some methods for calculating the association coefficients of IFSs. Then, we propose a clustering algorithm for IFSs. The algorithm uses the association coefficients of IFSs to construct an association matrix, and utilizes a procedure to transform it into an equivalent association matrix. The @l-cutting matrix of the equivalent association matrix is used to cluster the given IFSs. Moreover, we extend the algorithm to cluster interval-valued intuitionistic fuzzy sets (IVIFSs), and finally, demonstrate the effectiveness of our clustering algorithm by experimental results.
Towards proving type safety of .NET CIL
Authors: Nicu G. Fruja
Venue: Science of Computer Programming (2008)

A crucial role in the Microsoft .NET Framework Common Language Runtime (CLR) security model is played by type safety of the Common Intermediate Language (CIL). In this paper, we formally prove type safety of a large subset of CIL. To do so, we begin by specifying the static and dynamic semantics of CIL by providing an abstract interpreter for CIL programs. We then formalize the bytecode verification algorithm, whose job it is to compute a well-typing for a given method. We then prove type safety of well-typed methods, i.e., the execution according to the semantics model of legal and well-typed methods does not lead to any run-time type violations. Finally, to prove CIL's type safety, we show that the verification algorithm is sound, i.e., the typings it produces are well-typings, and complete, i.e., if a well-typing exists, then the algorithm computes one.
Lip-reading with discriminative deformable models
Authors: Hubert Nowak
Venue: Machine Graphics Vision International Journal (2006)

The following paper describes a novel lip-reading method developed for the purpose of isolated word recognition. The method is based on a concept of a discriminative deformable model, which represents an image analysis method derived from the deformable grid paradigm. The discriminative deformable model is used to characterize the lip shape at each frame of the video sequence. The information extracted from the consecutive frames is next analyzed using the Hidden Markov Models. The proposed visual speech recognition method is tested using the Polish digits recognition task.
Foundations of the C++ concurrency memory model
Authors: Hans-J. Boehm, Sarita V. Adve
Venue: ACM SIGPLAN Notices (2008)

Currently multi-threaded C or C++ programs combine a single-threaded programming language with a separate threads library. This is not entirely sound [7]. We describe an effort, currently nearing completion, to address these issues by explicitly providing semantics for threads in the next revision of the C++ standard. Our approach is similar to that recently followed by Java [25], in that, at least for a well-defined and interesting subset of the language, we give sequentially consistent semantics to programs that do not contain data races. Nonetheless, a number of our decisions are often surprising even to those familiar with the Java effort:We (mostly) insist on sequential consistency for race-free programs, in spite of implementation issues that came to light after the Java work. We give no semantics to programs with data races. There are no benign C++ data races. We use weaker semantics for trylock than existing languages or libraries, allowing us to promise sequential consistency with an intuitive race definition, even for programs with trylock. This paper describes the simple model we would like to be able to provide for C++ threads programmers, and explain how this, together with some practical, but often under-appreciated implementation constraints, drives us towards the above decisions.
3D face recognition by constructing deformation invariant image
Authors: Li Li, Chenghua Xu, Wei Tang, Cheng Zhong
Venue: Pattern Recognition Letters (2008)

Based on the observation that facial surfaces across different expressions can be modeled as similar isometric transformations, in this paper a novel deformation invariant image for robust 3D face recognition is proposed. First, we obtain the depth image and the intensity image from the original 3D facial data. Then, geodesic level curves are generated by constructing radial geodesic distance image from the depth image. Finally, deformation invariant image is constructed by evenly sampling points from the selected geodesic level curves in the intensity image. Our experiments are based on the 3D CASIA Face Database, which includes 123 individuals with complex expressions. Experimental results show that our proposed method substantially improves the recognition performance under various facial expressions.
Health data management in the medical arena
Authors: António Abelha, José Machado, Victor Alves, José Neves
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

In this paper it is presented an Agency for Integration, Archive and Diffusion of Medical Information (AIDA), which configures a data warehouse, developed using Multi-Agent technology. AIDA is like a symbiont, with a close association with core applications present at any health care facility, such as the Picture Archive Communication System, the Radiological Information System or the Electronic Medical Record Information System. Multi-Agent Systems also configure a new methodology for problem solving.
Subclass Problem-Dependent Design for Error-Correcting Output Codes
Authors: Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem. A classification decision is obtained by assigning the label of the class with the closest code. One of the main requirements of the ECOC design is that the base classifier is capable of splitting each sub-group of classes from each binary problem. However, we can not guarantee that a linear classifier model convex regions. Furthermore, non-linear classifiers also fail to manage some type of surfaces. In this paper, we present a novel strategy to model multi-class classification problems using sub-class information in the ECOC framework. Complex problems are solved by splitting the original set of classes into sub-classes, and embedding the binary problems in a problem-dependent ECOC design. Experimental results show that the proposed splitting procedure yields a better performance when the class overlap or the distribution of the training objects conceil the decision boundaries for the base classifier. The results are even more significant when one has a sufficiently large training size.
Kinematic analysis and path planning of a new kinematically redundant planar parallel manipulator
Authors: Iman Ebrahimi, Juan a. Carretero, Roger Boudreau
Venue: Robotica (2008)

In this work, the 3-<underline>RP</underline>RR, a new kinematically redundant planar parallel manipulator with six-degrees-of-freedom, is presented. First, the manipulator is introduced and its inverse displacement problem discussed. Then, all types of singularities of the 3-<underline>RP</underline>RR manipulator are analysed and demonstrated. Thereafter, the dexterous workspace is geometrically obtained and compared with the non-redundant 3-<underline>P</underline>RR planar parallel manipulator. Finally, based on a geometrical measure of proximity to singular configurations and the condition number of the manipulators' Jacobian matrices, actuation schemes for the manipulators are obtained. Different actuation schemes for a given path are obtained and the quality of their actuation schemes are compared. It is shown that the proposed manipulator is capable of following a path while avoiding the singularities.
SPIT Detection and Prevention Method in VoIP Environment
Authors: He Guang-Yu, Wen Ying-You, Zhao Hong
Venue: Proceedings of the 2008 Third International Conference on Availability, Reliability and Security (2008)

In order to resolve the SPIT（Spam over Internet Telephony）security risk in the ALL-IP convergence network, a detection and prevention method based on feedback judgment is proposed in this paper. Introducing the participation of the users and combining the mechanism of trust and reputation can make the direct and indirect use of feedback simple effective and lossless. Improved inference algorithm embodies the distribution characteristic of SPIT behavior and reflects the weight relation of factors which influence the result. In addition, the incremental learning algorithm gives the Real-time trust and reputation. The algorithm dynamically integrates the trust with the reputation and makes a Comprehensive Evaluation of the SPIT. Experiment and analysis results show the better accuracy and sensitivity of the method, indicate the efficiency of the detection and prevention.