ppxscal/embedding_network huggingface dataset:
Learning automata based classifier
Authors: Seyed-Hamid Zahiri
Venue: Pattern Recognition Letters (2008)

In this paper a new classifier has been designed based on the learning automata. This classifier can efficiently approximate the decision hyperplanes in the feature space without need to know the class distributions and the a priori probabilities. The performance of the proposed classifier has been tested on different kinds of benchmarks with nonlinear, overlapping class boundaries and different feature space dimensions. Extensive experimental results on these data sets are provided to show that the performance of the proposed classifier is comparable to, sometimes better than multi-layer perceptron, k-nearest neighbor classifier, genetic classifier, and particle swarm classifier. Also the comparative results are provided to show the effectiveness of the proposed method in comparison to similar researches. Furthermore the effect of the number of training points on the performance of the designed classifier is investigated. It is found that as the number of training data increases, the performance of the classifier tends to the performance of Bayes classifier which is an optimal one.
Integrating intra-firm and inter-firm knowledge diffusion into the knowledge diffusion model
Authors: Chih Ming Tsai
Venue: Expert Systems with Applications: An International Journal (2008)

Knowledge value and enterprise benefits are closely related. The performance of a knowledge management system can be evaluated when the dynamic relationship between knowledge value and its corresponding enterprise benefits is identified quantitatively. This study introduces five kinds of knowledge diffusion patterns, including knowledge internalization, knowledge externalization, knowledge improvement, external knowledge acquisition, and internal knowledge release, to construct the knowledge diffusion model which integrates the intra-firm and inter-firm diffusion processes simultaneously. An illustrative case demonstrates the feasibility of the proposed model successfully. In addition to the estimation of all parameters involved in the model, the parameter analysis provides some managerial insights into the implementation of the knowledge management system. Therefore, it follows that knowledge can be managed more effectively, and as a result the appropriate knowledge strategies can also be established for enhancing competitiveness.
Analysis of bandwidth efficiency in overlay multicasting
Authors: Changhan Kim, Younghoon Kim, Jae-Heon Yang, Ikjun Yeom
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2008)

Overlay multicasting has been proposed for implementing multicast routing in the application layer as a practical alternative to IP multicasting. Since a packet in overlay multicasting is transmitted via unicast routing between the end hosts, the same packet can be sent over a link multiple times, and thus the main challenge in overlay multicasting is organizing the multicast delivery trees to minimize bandwidth consumption. In this paper, we present a formal analysis of the bandwidth efficiency of overlay multicasting using a simple tree construction algorithm called BestRelay. Our analytical result shows that the bandwidth consumption of overlay multicast routing can be bounded by twice that of optimal IP multicasting. This result is confirmed using simulations.
Computer-Aided Ship Design at MarAd
Authors: A. H. Woodyard
Venue: Computer (1975)

The preliminary design process for a ship, which involves an iterative series of calculations based upon a data base that describes the hull shape, is a natural for design automation. Figure 1 illustrates the spiralling nature of the design verification from basic requirements to final design of the ship and indicates the sequential nature of the calculations. 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
Community systems research at Yahoo!
Authors: Community Systems Group
Venue: ACM SIGMOD Record (2007)

The web and its continued evolution present unprecedented opportunities for database researchers and practitioners to deliver unique user experiences that are not possible traditionally, e.g., mass collaborations through (automatically) established online communities and exploration of large scale structured information. Along with these opportunities, however, come significant challenges. The challenges are two-fold: systems, the infrastructures that allow us to deliver information at scale; and community, the applications that deliver the next generation of web experiences centered around people and social networks. In this paper, we describe the ongoing research efforts within the Community Systems group here at Yahoo! Research to address these challenges.
Performance Modelling of Adaptive Routing in Hypercubic Networks under Non-Uniform and Batch Arrival Traffic
Authors: Geyong Min, Yulei Wu, Lan Wang, Mohamed Ould-Khaoua
Venue: Proceedings of the 32nd IEEE Conference on Local Computer Networks (2007)

Traffic loads have a significant impact on the performance of routing algorithms. Many analytical models for adaptive routing in interconnection networks have been reported. However, most existing studies are based on the assumption that the arrivals of traffic follow a non-bursty Poisson process and the message destinations are uniformly distributed over the network. With the aim of obtaining a deep understanding of network performance under more realistic working conditions, this study develops an analytical performance model for adaptive-routed hypercubic networks under hot-spot and batch arrival traffic. This model adopts the Compound Poisson Process (CPP) to capture the properties of the batch arrival traffic. Extensive simulation experiments are conducted to validate the accuracy of the analytical model.
Neural Network Model Coupled with Phase Space Reconstruction and Its Application
Authors: Weilin Liu, Zengchuan Dong, Nanxiang Chen
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

The mine water system is a nonlinear and dynamic system influenced by such factors as hydrological and geological conditions. Although neural network model can effectively solve the nonlinear problems, it's difficult to obtain the satisfying results by direct prediction for the time series of water yield of mine because of chaotic characteristics in the system. In order to discover the nonlinear structure and movement law of the complicated system, chaos theory was introduced. In this paper, the forecasting model for water yield of mine was put forward by combination of the phase space reconstruction and neural network. One-dimension time series of water yield of mine was developed to multi-dimension series by means of phase space reconstruction, and multi-dimension series included the ergodic information, so more rich information can be excavated for neural network training. Then, on the basis of the embedding dimension of the time series, the structure form of neutral network was constructed. Finally, as an example of water yield of mine of the eighth mine of Hebi city, the model was built to forecast quantity of gushing water in mine pit, and the comparison of the network with AR(2) model was given. The result shows the model has good forecasting precision.
Implementing Physical Hyperlinks for Mobile Applications Using RFID Tags
Authors: Joachim Schwieren, Gottfried Vossen
Venue: Proceedings of the 11th International Database Engineering and Applications Symposium (2007)

Hyperlinks are a well understood and widely used concept in many applications. Particularly the Web has promoted the concept of "clickable" links to users. Typically, hyperlinks are only used to interact with applications and content in the "virtual" sphere of information systems. However, the basic idea of a hyperlink, which is creating an inviolable link between two resources, can be extended to the physical world as well and then allows a much closer and more intuitive interaction with information systems in many scenarios. We describe how RFID tags can be used to implement physical hyperlinks that establish a direct connection between a physical object and a mobile information system. Any kind of mobile, object-centered information system, such as the PDA-based visitor information system for museums MoVIS presented in this paper, provides a richer experience for users when it is extended into the physical world with physical hyperlinks.
Review: Propagator-based methods for recursive subspace model identification
Authors: Guillaume Mercère, Laurent Bako, Stéphane Lecuche
Venue: Signal Processing (2008)

The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is considered in this paper. Several algorithms, based on a recursive formulation of the MIMO Output Error State-Space (MOESP) identification class, are developed. The main goals of the proposed methods are to circumvent the huge complexity of eigenvalues or singular values decomposition techniques used by the offline algorithm and to provide consistent state-space matrices estimates in a noisy framework. The underlying principle consists in using the relationship between array signal processing and subspace identification to adjust the propagator method (originally developed in array signal processing) to track the subspace spanned by the observability matrix. The problem of the (coloured) disturbances acting on the system is solved by introducing an instrumental variable in the minimized cost functions. A particular attention is paid to the algorithmic development and to the computational cost. The benefits of these algorithms in comparison with existing methods are emphasized with a simulation study in time-invariant and time-varying scenarios.
A multiscale approach to the analysis of magnetic grid shields and its validation
Authors: Oriano Bottauscio, Mario Chiampi, Alessandra Manzin, Paolo Emilio Roccato, Mauro Zucca
Venue: Journal of Computational Physics (2007)

This paper illustrates the application of the multiple scale expansion theory to the analysis of heterogeneous thin structures employed for the magnetic field shielding and, in particular, the attention is focused on grid shields. These structures are conveniently employed in the mitigation of magnetic fields when the thermal dissipation is a severe restriction. The problem modelling is faced by applying the thin-shell approximation to the Maxwell equations, introducing appropriate interface conditions between the shield surfaces. Starting from this formulation, a homogenisation technique, based on the multiple scale expansion theory, is developed in order to replace the heterogeneous structure with an equivalent homogenous one. The proposed method enables an efficient analysis of magnetic and pure conductive heterogeneous shields with a significant decrease of the computational burden. The results are validated by comparison with a standard modelling approach, when possible, and with experiments developed on specific laboratory set-ups for frequencies up to 2kHz.
Current Trends in Data Base Systems
Authors: G. A. Champine
Venue: Computer (1979)

Tomorrow's data base systems will be organized around a common architecture, data distribution techniques, and new specialized processors.
Applying the responsibility-driven approach in the domain framework development
Authors: Danillo Leal Belmonte, Simone Nasser Matos, Luciano Scandelari, Clovis Torres Fernandes
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

This work presents an analytical study on approaches directed to framework development, pointing out their main benefits and difficulties. It demonstrates, through a practical application, how a responsibility-driven approach helped out in the creation process of a domain framework.
An efficient and optimized FPGA Feedback M-PSK Symbol Timing Recovery Architecture based on the Gardner Timing Error Detector
Authors: Emanuele Sciagura, Paolo Zicari, Stefania Perri, Pasquale Corsonello
Venue: Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (2007)

This paper presents an efficient and optimized FPGA implementation of a complete digital Symbol Timing Recovery (STR) architecture based on a Digital PLL loop structure. Matlab modelling first and a complete hardware communication system test after, reveal that the implemented STR circuit offers the best performances compared with the other implemented works present in literature. When implemented on an Xilinx Virtex-2P XC2VP7 FF672 FPGA chip the proposed STR circuit occupies just 138 slices, uses 2 embedded multipliers and reaches a clock frequency of 106 MHz; a symbol rate of 10 Msymbol/sec can be reached when 10 samples per symbol are employed. The obtained results are promising for its use in Software Defined Radio System applications..
Transactional Memory: An Overview
Authors: Tim Harris, Adrián Cristal, Osman S. Unsal, Eduard Ayguade, Fabrizio Gagliardi, Burton Smith, Mateo Valero
Venue: IEEE Micro (2007)

Writing applications that benefit from the massive computational power of future multicore chip multiprocessors will not be an easy task for mainstream programmers accustomed to sequential algorithms rather than parallel ones. This article presents a survey of transactional memory, a mechanism that promises to enable scalable performance while freeing programmers from some of the burden of modifying their parallel code.
Finding Nash Equilibrium Point of Nonlinear Non-cooperative Games Using Coevolutionary Strategies
Authors: Kamran Razi, Saied Haidarian Shahri, Ashkan R. Kian
Venue: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (2007)

In this paper a coevolutionary algorithm is developed to find the Nash Equilibrium (NE) points of nonlinear games. Using the global search property of the evolutionary strategy enables the proposed algorithm to find the admissible NE and escape from trapping in local optimums. Several numerical examples are presented to show the effectiveness of this method for both dynamic and static games.
Cryptogram Decoding for OCR Using Numerization Strings
Authors: G. Huang, E. Learned-Miller, A. McCallum
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01 (2007)

OCR systems for printed documents typically require large numbers of font styles and character models to work well. When given an unseen font, performance degrades even in the absence of noise. In this paper, we perform OCR in an unsupervised fashion without using any charac- ter models by using a cryptogram decoding algorithm. We present results on real and artificial OCR data.
Microprogramming as a pedagogical tool in teaching computer science
Authors: R. E. Merwin
Venue: ACM SIGMICRO Newsletter (1972)

Microprogramming has emerged in the past five years as a major control system design technique for digital systems of all types. Originally proposed by Wilkes [1] in 1951 as a systematic technique for designing computer control units it attracted little attention until the development of third generation computer systems in the early 1960's. The requirement for third generation systems to be able to run second generation system software was met through microprogrammed emulators. With its inherent flexibility in designing control circuits, microprogramming was widely adopted as a design technique for these systems.
Collaborative Platform for Universities, Foster Clubs and Scientists in Aerospace Research
Authors: Josephine Kohlenberg, Andreea Voiculescu, Eric Renault, Christian Bac, Quang Vu Dang
Venue: Proceedings of the Second International Conference on Systems and Networks Communications (2007)

Communication is an essential element in our lives. The Internet has become part of our everyday life connecting everybody, everywhere and anytime. This is obviously changing the way people work and interact. People want to collaborate with team partners from wherever and whenever necessary. This paper presents the collaborative platform for an innovating project (called PERSEUS* -- Student Project in European Space Research for Universities and Scientists) in the domain of small size satellites. The participants of this project come from a large variety of technical and non-technical domains. Thus, the need for a tool to ease their cooperation and coordination of multiple disciplinary analyses is obvious.
A fast and high-capacity electromagnetic solution for highspeed IC design
Authors: Houle Gan, Dan Jiao
Venue: Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design (2007)

This paper proposes a fast and high-capacity electromagnetic solution, time-domain layered finite element reduction recovery (LAFE-RR) method, for high-frequency modeling and simulation of large-scale on-chip circuits. This method rigorously reduces the matrix of a multilayer system to that of a single-layer one regardless of the original problem size. More important, the matrix reduction is achieved analytically, and hence the CPU and memory overheads are minimal. The recovery of solutions in all other layers involves only forward and backward substitution of matrices of single-layer size. The memory cost is also modest-requiring only the memory needed for the factorization of a single layer sparse matrix. The improved performance applies to any arbitrarily shaped multilayer structure. Numerical and experimental results are presented to demonstrate the accuracy, efficiency, and capacity of the proposed method.
Off-line Signature Verification System Performance against Image Acquisition Resolution
Authors: J. Vargas, M. Ferre, C. Travieso, J. Alonso
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

The effect of changing the image resolution over an off-line signature verification system performance is analyzed. The geometrical features used for the system analyzed in this paper are based on two vectors which represent the envelope and the interior stroke distribution in polar and Cartesian coordinates. Image resolution is progressively diminished from an initial 600ppp resolution till 45 ppp. The robustness of the analyzed system for random and simple forgeries is tested out with a hidden Markov model. The results show that 150ppp offers a good trade-off between performance and image resolution for static features.
Combining object and feature dynamics in probabilistic tracking
Authors: Leonid Taycher, John W. Fisher,  III, Trevor Darrell
Venue: Computer Vision and Image Understanding (2007)

Objects can exhibit different dynamics at different spatio-temporal scales, a property that is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image features that are then used as inputs to a system for tracking the object using a global dynamic model. Approximate local dynamics may be brittle-point trackers drift due to image noise and adaptive background models adapt to foreground objects that become stationary-and constraints from the global model can make them more robust. We propose a probabilistic framework for incorporating knowledge about global dynamics into the local feature extraction processes. A global tracking algorithm can be formulated as a generative model and used to predict feature values thereby influencing the observation process of the feature extractor, which in turn produces feature values that are used in high-level inference. We combine such models utilizing a multichain graphical model framework. We show the utility of our framework for improving feature tracking as well as shape and motion estimates in a batch factorization algorithm. We also propose an approximate filtering algorithm appropriate for online applications and demonstrate its application to tasks in background subtraction, structure from motion and articulated body tracking.
Teaching academic discussion skills with a card game
Authors: Curt Reese, Terri Wells
Venue: Simulation and Gaming (2007)

This article describes a game used for teaching discussion skills to English as a Second Language (ESL) students. It was originally designed for students wanting to prepare for graduate study at U.S. universities has been since used for other ESL students wanting to improve conversation skills. The game focuses on common phrases helpful for participating in seminar-style classes common to graduate school settings. The authors explain the rationale for choosing to teach skills using a game. They describe the procedures, benefits, and weaknesses of the game and students' experiences using the game.
Introducing Software Product Line Engineering for Metal Processing Lines in a Small to Medium Enterprise
Authors: David Sellier, Gorka Benguria, Gorka Urchegui
Venue: Proceedings of the 11th International Software Product Line Conference (2007)

Cost reduction, time to market, product quality improvement, and the support of technological evolution are all critical issues that software companies must face to be competitive in today's market. Software Product Line Engineering (SPLE) is one approach to address these issues. This paper presents the experiences of Mondragon Sistemas de Información, a small-to-medium company, of introducing software product line engineering. The paper describes reports the benefits generated by deploying a software product line for developing Programmable Logic Controllers' programs for metal processing lines as well as lessons learned.
A new interactive teaching support system with both infrared data broadcasting and cellular communication
Authors: Dawei Cai, Ryuuta Kawashima
Venue: Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2 (2007)

Recently, with the development of the cellular and ubiquitous computing environment, researches on ubiquitous learning approaches with ICT become more and more popular research area, but there are two main problems that affect the diffusion of the u-learning greatly are communication speed limit or channels available and the fee for large contents access. To solve the problems, we present a new teaching support system with the combining infrared data broadcasting and cellular communication. In the system, the huge educational contents are delivered to students cellular with a fast infrared protocol, which can provide a very fast down link channel, and the answer from the students' cellulars will be sent by cellular communication. With the support of the system, teachers can confirm the comprehension condition of the students easily during the lecture time; therefore a better teaching effort may be achieved. On the other hands, the students can study the contents with their own cellular or finish the homeworks on the way to home or in their spare time.
Routing and network design with robustness to changing or uncertain traffic demands
Authors: Chandra Chekuri
Venue: ACM SIGACT News (2007)

A new class of network design problems were introduced by Fingerhut et al. [26], and independently by Duffield et al. [20], to address, among other things, the issue of uncertainty in the demand matrix. The so-called hose model (the term was coined in [20]) for demand matrices from [26, 20] was subsequently generalized to the polyhedral model by Ben-Ameur and Kerivin [11, 10]. In a different direction, R&auml;acke [51] showed the existence of good randomized oblivious routings in all undirected graphs. This was followed by a proof of the polynomial time solvability of an optimal oblivious routing scheme [7]. One can view the above developments in a common framework of robust optimization. We give a survey of these developments and related work with the aim of providing a unified picture. We also highlight the remaining open problems.