ppxscal/embedding_network huggingface dataset:
Improving NSGA-II Algorithm Based on Minimum Spanning Tree
Authors: Miqing Li, Jinhua Zheng, Jun Wu
Venue: Proceedings of the 7th International Conference on Simulated Evolution and Learning (2008)

Diversity maintenance is an importance part of multi-objective evolutionary algorithm. In this paper, a new variant for the NSGA-II algorithm is proposed. The basic idea is that using the crowding distance method designed by minimum spanning tree to maintain the distribution of solutions. From an extensive comparative study with NSGA-II on a number of two and three objective test problems, it is observed that the proposed algorithm has good performance in distribution, and is also rather competitive to NSGA-II concerning the convergence.
International dialogue
Authors: Vinton Cerf
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

Any Conference the size of NCC attracts specialists from all over the world. Indeed scattered in the various technical sessions are contributions from people in Japan, Canada, England, Germany, France, and Brazil. In addition to this individual participation, there is a set of four sessions focusing on topics that were found to be of special interest to non U.S. participants. They are standardization, especially the computer connection to communication networks, but also for input/output and software. We have arranged four sessions, with significant non-U.S. participation to articulate these areas.
InDesign CS4 For Dummies
Authors: Galen Gruman
Venue: For Dummies (2008)

InDesign is the preferred graphic design software, and InDesign CS4 is loaded with cool new desktop publishing features. InDesign CS4 For Dummies shows you how to use every one!Whether youre an experienced designer or just want to create a cool newsletter for the school soccer team, youll benefit from Galen Grumans guidance. This desktop publishing expert shows you how to navigate InDesign menus, dialog boxes, panels, and panes; streamline your work with templates; prepare your creations for printing or online publication, and more.Explore the new tools, work with the application frame, and set preferences for the way you work Learn to open and save documents and export content Get familiar with the Pages panel, apply Master Pages, and work with Layers Make the most of color with color libraries, multi-ink colors, spot versus process color, and gradients Create layout guidelines and use color swatches for consistency Streamline text formatting by using styles and treat text as a graphic element Design for the Web with hyperlinks, multimedia elements, and Flash files See how InDesign CS4 works seamlessly with other applications in the Adobe Creative Suite Discover why good design is part science and part art and learn to manipulate, organize, and align design objects Take advantage of tips for cropping and positioning graphics Prepare for printing or other output with enhanced preflighting tools InDesign CS4 For Dummies also offers great advice for designing pages that do their job perfectly. Start creating today!
Low-cost waveguide oscillator for research and educational purposes
Authors: J. M. Zamanillo, C. Pérez-Vega, J. Saiz Ipiña, M. A. Solano
Venue: Proceedings of the 8th WSEAS international conference on Distance learning and web engineering (2008)

A low cost, high performance Gunn X Band oscillator for educational and research purposes has been developed. The cavity has been manufactured on standard waveguide WR90, with UBR100 flange, in order to make it compatible with the rest of waveguide circuitry available in a basic microwave laboratory. The ability to sweep the whole X Band (8-12 GHz) with constant output power and low phase noise, added to its low cost makes this oscillator an interesting tool for users at any level. As an example of its many educational applications, a multiple frequency continuous-wave (MFCW) radar has been developed, and the results of the laboratory implementation are shown.
Predicting Calls --- New Service for an Intelligent Phone
Authors: Santi Phithakkitnukoon, Ram Dantu
Venue: Proceedings of the 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Real-Time Mobile Multimedia Services (2008)

Predicting future calls can be the next advanced feature of the intelligent phone as the phone service providers are looking to offer new services to their customers. Call prediction can be useful to many applications such as planning daily schedule and attending unwanted communications (e.g. voice spam). Predicting calls is a very challenging task. We believe that this is a new area of research. In this paper, we propose a Call Predictor (CP) that computes the probability of receiving calls and makes call prediction based on caller's behavior and reciprocity. The proposed call predictor is tested with the actual call logs. The experimental results show that the call predictor performs reasonably well with false positive rate of 2.4416%, false negative rate of 2.9191%, and error rate of 5.3606%.
An Iterative Method to Design Traffic Flow Models
Authors: Juan Manuel González-Calleros, Jorge Martínez-Carballido, Jaime Muñoz-Arteaga, Josefina Guerrero-García
Venue: Proceedings of the 2009 Third International Conference on Digital Society (2009)

Existing traffic flow modeling theory lacks of guidelines to construct traffic flow models from scratch. In addition, traffic flow models are mainly analyzed with computer simulation then computer programs are involved in the test of the model. Different methods have been proposed not just from traffic flow but for modeling in general, however, existing methods do not rely on iterative process, which is widely used for designing software. In this paper a methodology to generate traffic models is presented. The methodology proposes an agile iterative process to design traffic flow models. The method has been validated with a real life case study; a model for a sector of the traffic flow in Puebla City. Data were gathered from the city and used to validate the model. In addition, an algorithm to modify the traffic lights’ control accordingly to the global traffic conditions was developed and tested with the collected data. The results show a reduction in traffic density during peak hour for traffic.
Answering aggregate keyword queries on relational databases using minimal group-bys
Authors: Bin Zhou, Jian Pei
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

Keyword search has been recently extended to relational databases to retrieve information from text-rich attributes. However, all the existing methods focus on finding individual tuples matching a set of query keywords from one table or the join of multiple tables. In this paper, we motivate a novel problem of aggregate keyword search: finding minimal group-bys covering a set of query keywords well, which is useful in many applications. We develop two interesting approaches to tackle the problem, and further extend our methods to allow partial matches. An extensive empirical evaluation using both real data sets and synthetic data sets is reported to verify the effectiveness of aggregate keyword search and the efficiency of our methods.
Technical communique: A Kushner approach for small random perturbations of the Duffing-van der Pol system
Authors: Shambhu N. Sharma
Venue: Automatica (Journal of IFAC) (2009)

The stochastic version of the Duffing-van der Pol system (SDvdP), which assumes the structure of a non-linear stochastic differential equation, is an appealing and a standard case from the stochastic systems' point of view, since it involves linear and non-linear vector fields, i.e. system non-linearities, state-independent and state-dependent stochastic accelerations. This paper discusses and explores the efficacy of three non-linear filters, which are developed using the Kushner equation, for the stochastic differential system of concern here. This paper introduces the notion of a qualitative analysis to decide a structure of the observation equation for non-linear stochastic filtering as well.
SAS Activity-Based Management 6.4: User's Guide
Authors: SAS Publishing
Venue:  (2008)

This document provides basic features and modeling concepts of the various functions of SAS Activity-Based Management, including (but not limited to) building modeling components (such as drivers, modules, and assignments) and working with tasks.
A numerical method for the ternary Cahn--Hilliard system with a degenerate mobility
Authors: Junseok Kim, Kyungkeun Kang
Venue: Applied Numerical Mathematics (2009)

We applied a second-order conservative nonlinear multigrid method for the ternary Cahn-Hilliard system with a concentration dependent degenerate mobility for a model for phase separation in a ternary mixture. First, we used a standard finite difference approximation for spatial discretization and a Crank-Nicolson semi-implicit scheme for the temporal discretization. Then, we solved the resulting discretized equations using an efficient nonlinear multigrid method. We proved stability of the numerical solution for a sufficiently small time step. We demonstrate the second-order accuracy of the numerical scheme. We also show that our numerical solutions of the ternary Cahn-Hilliard system are consistent with the exact solutions of the linear stability analysis results in a linear regime. We demonstrate that the multigrid solver can straightforwardly deal with different boundary conditions such as Neumann, periodic, mixed, and Dirichlet. Finally, we describe numerical experiments highlighting differences of constant mobility and degenerate mobility in one, two, and three spatial dimensions.
Maximising performance of optical coherence tomography systems using a multi-section chirped quantum dot superluminescent diode
Authors: P. D. L. Judson, K. M. Groom, D. T. D. Childs, M. Hopkinson, N. Krstajic, R. A. Hogg
Venue: Microelectronics Journal (2009)

Key device requirements for maximising resolution in an optical coherence tomography system are discussed. The design and operating parameters of a multi-contact quantum dot superluminescent diode incorporating a number of features which inhibit lasing are described. Such devices allow the independent tuning of emission power and spectral shape; hence the penetration depth and resolution in optical coherence tomography are decoupled. The emission spectrum of a device utilising chirped quantum dots is shown to be tuned to produce a broadband single Gaussian emission, centred at the required wavelength of 1050nm, with high output powers than a single contact device.
Quelle place dans la vie quotidienne pour la t&eacute;l&eacute;vision mobile? r&eacute;sultats d'une &eacute;tude de terrain longitudinale
Authors: Thilo von Pape, Veronika Karnowski
Venue: Proceedings of the 20th International Conference of the Association Francophone d'Interaction Homme-Machine (2008)

With the introduction of the mobile TV format &laquo; DVB-H &raquo; (Digital Video Broadcasting -- Handheld) in Europe -- and notably in France this year --, the combination between mobile telephony and television promises to turn into a success story soon. With enormous investments, access providers and audiovisual media are betting on the new technology to override technical barriers which still seem to retard the evolution. The study presented contributes to a reflection on future uses of mobile TV by considering the appropriation of an existing service. Over a three months period, users were accompanied through interviews and an experience sampling method.
Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements
Authors: Zidong Wang, Daniel W. C. Ho, Yurong Liu, Xiaohui Liu
Venue: Automatica (Journal of IFAC) (2009)

This paper is concerned with the problem of robust H"~ output feedback control for a class of uncertain discrete-time delayed nonlinear stochastic systems with missing measurements. The parameter uncertainties enter into all the system matrices, the time-varying delay is unknown with given low and upper bounds, the nonlinearities satisfy the sector conditions, and the missing measurements are described by a binary switching sequence that obeys a conditional probability distribution. The problem addressed is the design of an output feedback controller such that, for all admissible uncertainties, the resulting closed-loop system is exponentially stable in the mean square for the zero disturbance input and also achieves a prescribed H"~ performance level. By using the Lyapunov method and stochastic analysis techniques, sufficient conditions are first derived to guarantee the existence of the desired controllers, and then the controller parameters are characterized in terms of linear matrix inequalities (LMIs). A numerical example is exploited to show the usefulness of the results obtained.
Revisiting simultaneous consensus with crash failures
Authors: Yoram Moses, Michel Raynal
Venue: Journal of Parallel and Distributed Computing (2009)

This paper addresses the ''consensus with simultaneous decision'' problem in a synchronous system prone to t process crashes. This problem requires that all the processes that do not crash decide on the same value (consensus), and that all decisions are made during the very same round (simultaneity). So, there is a double agreement, one on the decided value (data agreement) and one on the decision round (time agreement). This problem was first defined by Dwork and Moses who analyzed it and solved it using an analysis of the evolution of states of knowledge in a system with crash failures. The current paper presents a simple algorithm that optimally solves simultaneous consensus. Optimality means in this case that the simultaneous decision is taken in each and every run as soon as any protocol decides, given the same failure pattern and initial value. The design principle of this algorithm is simplicity, a first-class criterion. A new optimality proof is given that is stated in purely combinatorial terms.
Autoreclosure in Extra High Voltage Lines Using Taguchi's Method and Optimized Neural Networks
Authors: Desta Zahlay F., K. S. Rama Rao
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

This paper presents a method to discriminate a temporary fault from a permanent one in an extra high voltage (EHV) transmission line so that improper reclosing of the line onto a fault is avoided. The fault identification prior to reclosing is based on optimized artificial neural network associated with standard Error Back-Propagation, Levenberg Marquardt Algorithm and Resilient Back-Propagation training algorithms together with Taguchi’s Method. The algorithms are developed using MATLAB software. A range of faults are simulated on EHV modeled transmission line using SimPowerSytems, and the spectra of the fault data are analyzed using fast Fourier transform to extract features of each type of fault. For both training and testing purposes, the neural network is fed with the normalized energies of the DC component, the fundamental and the first four harmonics of the faulted voltages. The developed algorithm is effectively trained, verified and validated with a set of training, dedicated testing and validation data respectively.
Image acquisition and automated inspection of wine bottlenecks by tracking in multiple views
Authors: Miguel Carrasco, Luis Pizarro, Domingo Mery
Venue: Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision (2008)

In this paper we propose a prototype for image sequence acquisition of glass wine bottlenecks, whose main novelty is the use of an inner lighting source for better capturing of potential defects. A novel approach for automatic inspection of the bottlenecks based on tracking potential flaws along the acquired sequence is also presented. Our inspection system achieves performance rates of 87% true positives and 0% false positives.
An Approximate String Matching Algorithm for Content-Based Music Data Retrieval
Authors: Chih-Chin Liu, Jia-Lien Hsu, Arbee L. P. Chen
Venue: Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2 (1999)

In this paper, an approach for content-based music data retrieval is proposed. In this approach, thematic feature strings, such as melody strings, rhythm strings, and chord strings are extracted from the original music objects and treated as the meta data to represent their contents. The problem of content-based music data retrieval is then transformed into the string matching problem. A new approximate string matching algorithm is also proposed which provides fault tolerance ability according to the music characteristics. To show the efficiency of the algorithm, a set of experiments are performed to compare with the agrep and the fgrep utility on both synthetic and real music data.
A framework of sensor-cloud integration opportunities and challenges
Authors: Mohammad Mehedi Hassan, Biao Song, Eui-Nam Huh
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

In the past few years, wireless sensor networks (WSNs) have been gaining increasing attention because of their potential of enabling of novel and attractive solutions in areas such as industrial automation, environmental monitoring, transportation business, health-care etc. If we add this collection of sensor derived data to various Web-based social networks or virtual communities, blogs etc., we can have a remarkable transformation in our ability to "see" ourselves and our planet. Our primary goal is to facilitate connecting sensors, people and software objects to build community-centric sensing applications. However, the computational tools needed to launch this exploration may be more appropriately built from the data center "Cloud" computing model than the traditional HPC approaches. In this paper, we propose a framework to enable this exploration by integrating sensor networks to the emerging data center "cloud" model of computing. But there are many challenges to enable this framework. We propose a pub-sub based model which simplifies the integration of sensor networks with cloud based community-centric applications. Also there is a need for internetworking cloud providers in case of violation of service level agreement with users. We discussed these issues and proposed reasonable solutions.
The Analysis and Improvement of the Price Forecast Model Based on Fractal Theory
Authors: Herui Cui, Li Yang
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

This paper discusses the basic principle of the fractal theory and the basic thinking of how to use it to forecast the electricity price, then build electricity price forecasting model and make a analysis on the prediction error to put forward improvement. Before the application of fractal mode in the price forecast field, there is a need to do R/S analysis of the data series to derive its index Hurst; And in forecast process, use variable dimension fractal parameters calculated by curve fitting technique instead of constant dimension fractal parameters.
Displaying statistical point estimators: the leading-digit procedure
Authors: Wheyming T. Song, Bruce W. Schmeiser
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

We propose a procedure for reporting a statistical point estimator and its precision for statistical experiments such as simulation experiments. Based on three criteria---loss of statistical information, number of characters required, and likelihood of user misinterpretation---we advocate our procedure for use when reporting many point estimators in tabular form. The procedure discards meaningless digits of the point estimator, and all but the left-most non-zero digit of the standard error. These two resulting values are separated by the ";" sign.
ICT-Based Learning - More Freedom, More Side-Effects?
Authors: Xu Xinhao, Zhou Wei, Li Min
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

Thanks to the rapidly-developing Web, pervasive computing and mobile technologies, learning activities are being shifted to a new era which is characterized by ubiquitous adoption of information and communication technologies (ICT). ICT-based Learning (IBL), like mobile-learning, fosters high quality learning practices offering great freedom to learners while, at the same time, coming along with undesirable side-effects. This paper focuses on these issues after a brief summary of IBL background and gives possible solutions to them. The paper concludes with an objective view towards IBL and calls equal attention to the other side of IBL research, so that a balanced research can be achieved and better IBL system solutions can be reached.
Factor Analysis Algorithm with Mercer Kernel
Authors: Guo-en Xia, Pei-ji Shao
Venue: Proceedings of the 2009 Second International Symposium on Intelligent Information Technology and Security Informatics (2009)

Nonlinear factor analysis method was studied by Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and a comparison with the related method kernel principle component analysis (KPCA) was made. It is pointed that the best error rate in handwritten digit recognition by kernel factor analysis (KFA) with varimax (4.2%) is competitive with KPCA (4.4%). The results indicate that KFA with varimax could more accurately image handwritten digit recognition and could be an effective measure for studying pattern recognition.
Pandemic influenza response
Authors: Ali Ekici, Pinar Keskinocak, Julie L. Swann
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Recent incidents of avian flu (H5N1) in Asia and the pandemic influenza cases in history (1918, 1957 and 1968) suggest that a future pandemic influenza is inevitable and likely imminent. Governments and non-governmental organizations prepare response plans on how to react to a pandemic influenza. In this paper, we study the logistics side of the problem, specifically, food distribution logistics during the pandemic influenza. For this purpose, we develop a disease spread model that assists in estimating the food need geographically at a given time. Then, we develop an integrated solution approach called the Dynamic Update Approach to build the food distribution network. We run our integrated disease spread and facility location model for the state of Georgia and present the estimated number of infections and meals needed in each census tract for a one year period.
Facet-Based Browsing in Video Retrieval: A Simulation-Based Evaluation
Authors: Frank Hopfgartner, Thierry Urruty, Robert Villa, Joemon M. Jose
Venue: Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling (2009)

In this paper we introduce a novel interactive video retrieval approach which uses sub-needs of an information need for querying and organising the search process. The underlying assumption of this approach is that the search effectiveness will be enhanced when employed for interactive video retrieval. We explore the performance bounds of a faceted system by using the simulated user evaluation methodology on TRECVID data sets and also on the logs of a prior user experiment with the system. We discuss the simulated evaluation strategies employed in our evaluation and the effect on the use of both textual and visual features. The facets are simulated by the use of clustering the video shots using textual and visual features. The experimental results of our study demonstrate that the faceted browser can potentially improve the search effectiveness.