ppxscal/embedding_network huggingface dataset:
Research on Optimization of Data Communication in Battle Damage Simulation System
Authors: Qingtang Su
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

Data communication is deeply studied to solve the real-time property and the stability of the data communication that is the key problem in the battle damage simulation system, following the logic process of data generating, sending, transmitting, receiving. Meanwhile, a series of optimized methods are proposed from the aspects of communication interface, communication server working model, concurrent communication method, and data generating process and data schedule process. The experimental results demonstrate that the proposed methods are fairly efficient for enhancing data communication, and have achieved satisfactory effect in practice.
An Introduced Neural Network-Differential Evolution Model for Small Signal Modeling of PHEMTs
Authors: Mazhar B. Tayel, Amr Hassan Yassin
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

Since neural network algorithms are able to model nonlinear relations between different data sets, an introduced neural network model (INN) based on a generalized differential evolution training algorithm (INN-DE) is presented for pseudomorphic high electron mobility transistor (PHEMT). This global optimization algorithm is applied to avoid the local minima problem in the gradient descent-training algorithm and to achieve acceptable solution. The main advantage of this technique is its validation in wide range of frequencies and high accuracy for the small signal characteristics. The proposed (INN-DE) model is used to predict the scattering parameter values for various bias values different from the ones in the data set used for training. This model has been verified by comparing predicted and measured values of a PHEMT for a certain data set of S-parameters at different frequencies and bias points
A Palmprint Recognition Algorithm Using Phase-Only Correlation
Authors: Koichi Ito, Takafumi Aoki, Hiroshi Nakajima, Koji Kobayashi, Tatsuo Higuchi
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

This paper presents a palmprint recognition algorithm using Phase-Only Correlation (POC). The use of phase components in 2D (two-dimensional) discrete Fourier transforms of palmprint images makes it possible to achieve highly robust image registration and matching. In the proposed algorithm, POC is used to align scaling, rotation and translation between two palmprint images, and evaluate similarity between them. Experimental evaluation using a palmprint image database clearly demonstrates efficient matching performance of the proposed algorithm.
Advance Reservation of Grid Resources via Real Options
Authors: Thomas Meinl
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

While grid market schedulers have recently received a lot of attention and have been accepted not only in economic but also in purely computer science areas as well, technical grid schedulers are being modified to support advance reservation of resources, too. This prompts questions on how to model grid markets and how to handle grid resource reservation in a reasonable economic fashion. This paper introduces a real options approach together with a basic model to address those issues.
Using direct and indirect input devices: Attention demands and age-related differences
Authors: Anne Collins McLaughlin, Wendy A. Rogers, Arthur D. Fisk
Venue: ACM Transactions on Computer-Human Interaction (TOCHI) (2009)

Researchers have suggested that attention is a key moderating variable predicting performance with an input device [Greenstein and Arnaut 1988], although the attention demands of devices have not been directly investigated. We hypothesized that the attentional demands of input devices are intricately linked to whether the device matches the input requirements of the on-screen task. Further, matching task and device should be more important for attentionally reduced groups, such as older adults. Younger and older adults used either a direct (touch screen) or indirect (rotary encoder) input device to perform matched or mismatched input tasks under a spectrum of attention allocation conditions. Input devices required attention&mdash;more so for older adults, especially in a mismatch situation. In addition, task performance was influenced by the match between task demands and input device characteristics. Though both groups benefited from a match between input device and task input requirements, older adults benefited more, and this benefit increased as less attention was available. We offer an a priori method to choose an input device for a task by considering the overlap between device attributes and input requirements. This data should affect design decisions concerning input device selection across age groups and task contexts.
What's this XNA thing I keep hearing about?: conference workshop
Authors: Ernest Ferguson
Venue: Journal of Computing Sciences in Colleges (2009)

Microsoft's XNA Game Studio 3.0 has received favorable reviews in trade journals and was released with much hype in October, 2008 [6]. This workshop as planned will consist of a one-hour hands-on introduction to XNA Game Studio so participants can get familiar with XNA Game Studio; its structure and capabilities. XNA Game Studio utilizes C#.Net and works within Visual Studio 2008. Participants must be able to program in Java or C# and familiarity with Visual Studio would be helpful.
Interpolatory point set surfaces&mdash;convexity and Hermite data
Authors: Marc Alexa
Venue: ACM Transactions on Graphics (TOG) (2009)

Point set surfaces define a (typically) manifold surface from a set of scattered points. The definition involves weighted centroids and a gradient field. The data points are interpolated if singular weight functions are used to define the centroids. While this way of deriving an interpolatory scheme appears natural, we show that it has two deficiencies: Convexity of the input is not preserved and the extension to Hermite data is numerically unstable. We present a generalization of the standard scheme that we call Hermite point set surface. It allows interpolating, given normal constraints in a stable way. It also yields an intuitive parameter for shape control and preserves convexity in most situations. The analysis of derivatives also leads to a more natural way to define normals, in case they are not supplied with the point data. We conclude by comparing to similar surface definitions.
Updating coherent previsions on finite spaces
Authors: Enrique Miranda
Venue: Fuzzy Sets and Systems (2009)

We compare the different notions of conditional coherence within the behavioural theory of imprecise probabilities when all the spaces are finite. We show that the differences between the notions are due to conditioning on sets of (lower, and in some cases upper) probability zero. Next, we characterise the range of coherent extensions in the finite case, proving that the greatest coherent extensions can always be calculated using the notion of regular extension, and we discuss the extensions of our results to infinite spaces.
Administering Informix Dynamic Server: Building the Foundation
Authors: Carlton Doe
Venue:  (2008)

Geared towards database server administrators who need to get a server up and running in a short amount of time, this guide focuses on the basic skills required to administer and maintain the Informix Dynamic Server (IDS) data server.Each of the major functional areas of the database server are reviewed, including designing, initializing, monitoring, building availability layers, securing data, and the data processing environment.This book reviews how the IDS works, how to install it, how to configure a database environment, back up, recovery, and includes an introduction to monitoring instance operations, making it useful to current IDS users who need to upgrade from earlier versions of the data server as well as those who have never used IDS before.
Assisting novice researchers in utilizing the web as a platform for research: semantic approach
Authors: Maizatul Akmar Ismail, Mashkuri Yaacob, Sameem Abdul Kareem, Fariza Hanum Nasaruddin
Venue: WSEAS Transactions on Information Science and Applications (2009)

The access to internet has tremendously changed the way of information dissemination. The emergence of digital libraries and institutional repositories provides endless supplies of knowledge. Scholars in particular, make use of research output in the form of conference proceedings, journal and theses as references and guideline in generating new knowledge for the use of future generations. Novice researchers are the form of scholars which always drown in the ocean of information. This scholarly content resides on several heterogeneous databases that need to be integrated. Support in the early stage of study is crucial for novice researchers as it will give them some insights of where to seek for extra information based on institutions, people and research trend without having to go through tedious process of identifying this information all by themselves. Previous studies have identified support features that are useful for novice researchers among which are Relevant Literatures and Expert Detection. Thus, the purpose of this paper is to explore each of these support features and suggest state-of-the art development approach by utilizing Semantic Web technologies. The algorithms involved with each of the support features will be discussed. The result of the implementation shows significant information that can be utilized by novice researchers in accelerating research process. The evaluation of the information retrieved from the support features is elaborated. Future works in enhancing the proposed prototype are also discussed in the concluding remarks.
Fast communication: New algorithm based on spectral distance maximization to deal with the overlapping partial problem in note-event detection
Authors: N. Ruiz Reyes, P. Vera Candeas, F. J. Cañadas Quesada, J. J. Carabias
Venue: Signal Processing (2009)

Harmonic matching pursuit (HMP) is an interesting signal processing tool for note-event detection in polyphonic music transcription. HMP decomposes an audio signal into harmonic atoms. Audio signals are well represented by harmonic atoms due to their strong harmonic content. However, HMP provides an inaccurate decomposition when musical notes with rational fundamental frequency relation are simultaneously played (the overlapping partial problem). In this paper, a signal processing algorithm dealing with this problem is proposed. The algorithm is based on maximizing a smoothness-based criterion of the spectral envelope for each harmonic atom resulting from the HMP decomposition. In this way, we obtain an improved harmonic decomposition, which achieves high accuracy rates in note-event detection when dealing with harmonically related simultaneous notes.
Lévy flights and fractal modeling of internet traffic
Authors: György Terdik, Tibor Gyires
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

The relation between burstiness and self-similarity of network traffic was identified in numerous papers in the past decade. These papers suggested that the widely used Poisson based models were not suitable for modeling bursty, local-area and wide-area network traffic. Poisson models were abandoned as unrealistic and simplistic characterizations of network traffic. Recent papers have challenged the accuracy of these results in today's networks. Authors of these papers believe that it is time to reexamine the Poisson traffic assumption. The explanation is that as the amount of Internet traffic grows dramatically, any irregularity of the network traffic, such as burstiness, might cancel out because of the huge number of different multiplexed flows. Some of these results are based on analyses of particular OC48 Internet backbone connections and other historical traffic traces. We analyzed the same traffic traces and applied new methods to characterize them in terms of packet interarrival times and packet lengths. The major contribution of the paper is the application of two new analytical methods. We apply the theory of smoothly truncated Levy flights and the linear fractal model in examining the variability of Internet traffic from self-similar to Poisson. The paper demonstrates that the series of interarrival times is still close to a self-similar process, but the burstiness of the packet lengths decreases significantly compared to earlier traces.
Unequal error protection in distributed source coding for wireless sensor networks
Authors: Guodong Xue, Bo Zhang, Yu Liu, Lin Zhang
Venue: Proceedings of the International Conference on Mobile Technology, Applications, and Systems (2008)

In this paper, we will discuss the unequal error protection (UEP) problem in distributed source coding (DSC) which has been studied and proved to be efficient for scattered applications, especially for wireless sensor networks (WSN). For WSN, non-uniform noise distribution should fall into our consideration when coding and decoding, resulting in UEP problem for source sequence. Using linear-programming approach for non-uniform Low-density parity-check (LDPC) code, we can easily get the optimal degree distribution for parity check matrix. So different parts of source sequence fed into distinct channels can be separately protected. We propose a simpler structure of DSC for pairs of correlated sources based on syndrome (DISCUS) [1], and also consider the rate adaptive property of non-uniform LDPC code. Reasonable coding rates are generated for different channel conditions by changing the maximum variable node degree and one threshold we proposed in the algorithm, which is defined as the probability of setting sub-degree distributions as non-zero number. Simulation results show a beneficial effect based on the assumption that the crossover probability or mean square error is known.
Web 2.0 development with the Google web toolkit
Authors: Federico Kereki
Venue: Linux Journal (2009)

Modern Web 2.0 development, done fully in Java? Yes, with the Google Web Toolkit.
''Internet Thieves'' You Must Avoid
Authors: Thankgod Playman
Venue:  (2007)

Every day families experience broken marriages, bankruptcies, heart attacks, due to huge financial loses in billions of $dollar worldwide, more than any civil war or natural disaster in the history of our world has caused. "Internet Thieves", introduce lucrative deals leading to advance fee payments to secure foreign deposits of stolen money, family inheritances, and huge financial awards from illegal International lotteries and sweepstakes. The mails appear real and the voices appealing but there is innate deception underneath. You must avoid them because they operate in global criminal networks you cannot beat. Help, recommend this convenient hand book to save your family members and loved ones from the infectious damages of these institution of international scammers. It is a "must have" for every family. Updates will follow in next volume?
Designing organic reaction simulation engine using qualitative reasoning approach
Authors: Y. C. Alicia Tang, S. M. Zain, N. Abdul Rahman
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

Understanding organic reactions requires good grasp of chemical intuition which is difficult to program using traditional development approach. The paper presents work on a software tool for providing support to learning in the area of organic reaction simulation. The design uses Qualitative Reasoning (QR) and, in particular, Qualitative Process Theory (QPT) and the simulation of basic steps in the chemical reactions such as creating and deleting bonds. QPT ontology is used to represent the chemical theories and chemical intuition of organic reactions. A set of QR algorithms has also been developed to automate the construction of qualitative models, and to perform products prediction. The learning tool can help learners in fostering the reasoning capability and facilitating the mastery of the fundamental principles of organic reactions. We start by presenting the roles of each functional component of the tool. Then, we move on to discuss the qualitative modeling and simulation design for reproducing the chemical behaviors of selected organic reactions. Finally the simulation results are discussed.
Effective diagnosis of heart disease through neural networks ensembles
Authors: Resul Das, Ibrahim Turkoglu, Abdulkadir Sengur
Venue: Expert Systems with Applications: An International Journal (2009)

In the last decades, several tools and various methodologies have been proposed by the researchers for developing effective medical decision support systems. Moreover, new methodologies and new tools are continued to develop and represent day by day. Diagnosing of the heart disease is one of the important issue and many researchers investigated to develop intelligent medical decision support systems to improve the ability of the physicians. In this paper, we introduce a methodology which uses SAS base software 9.1.3 for diagnosing of the heart disease. A neural networks ensemble method is in the centre of the proposed system. This ensemble based methods creates new models by combining the posterior probabilities or the predicted values from multiple predecessor models. So, more effective models can be created. We performed experiments with the proposed tool. We obtained 89.01% classification accuracy from the experiments made on the data taken from Cleveland heart disease database. We also obtained 80.95% and 95.91% sensitivity and specificity values, respectively, in heart disease diagnosis.
GViM: GPU-accelerated virtual machines
Authors: Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan
Venue: Proceedings of the 3rd ACM Workshop on System-level Virtualization for High Performance Computing (2009)

The use of virtualization to abstract underlying hardware can aid in sharing such resources and in efficiently managing their use by high performance applications. Unfortunately, virtualization also prevents efficient access to accelerators, such as Graphics Processing Units (GPUs), that have become critical components in the design and architecture of HPC systems. Supporting General Purpose computing on GPUs (GPGPU) with accelerators from different vendors presents significant challenges due to proprietary programming models, heterogeneity, and the need to share accelerator resources between different Virtual Machines (VMs). To address this problem, this paper presents GViM, a system designed for virtualizing and managing the resources of a general purpose system accelerated by graphics processors. Using the NVIDIA GPU as an example, we discuss how such accelerators can be virtualized without additional hardware support and describe the basic extensions needed for resource management. Our evaluation with a Xen-based implementation of GViM demonstrate efficiency and flexibility in system usage coupled with only small performance penalties for the virtualized vs. non-virtualized solutions.
Modeling and simulation in public health: a little help can go a long way
Authors: Margaret L. Brandeau
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

The United States spends more per capita on health than any other nation, yet has worse health outcomes than many other countries. Moreover, expenditures on health in the U.S. are growing rapidly, and are taking up an increasingly larger share of per capita gross domestic product. Elsewhere in the world, some nations struggle with basic health issues such as sanitation and control of infectious diseases, while others are beginning to see epidemics of "Western style" diseases such as obesity, heart disease and cancer. In all cases, resources for health are insufficient to meet the need for disease prevention and treatment, so difficult resource allocation choices must be made. This talk will describe examples from past and ongoing model-based analyses of public health policy questions, emphasizing the role that simulation can play. For example, how should the Centers for Disease Control and Prevention revise national immunization recommendations so that gaps in immunization coverage will be filled in a cost-effective manner? What is the most cost effective way to use limited HIV prevention and treatment resources? How much contact tracing should public health departments perform in their attempts to control infectious diseases? What logistical plans should local communities make to prepare for response to a potential bioterror attack? We describe example policy problems, the simulation analyses and resulting policy findings. We also provide perspectives on key elements of a successful policy analysis, ways in which such analysis can influence policy, and modeling and policy challenges for the future.
NP-hardness of Euclidean sum-of-squares clustering
Authors: Daniel Aloise, Amit Deshpande, Pierre Hansen, Preyas Popat
Venue: Machine Learning (2009)

A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al. (Mach. Learn. 56:9---33, 2004), is not valid. An alternate short proof is provided.
Multifocus image fusion using the nonsubsampled contourlet transform
Authors: Qiang Zhang, Bao-long Guo
Venue: Signal Processing (2009)

A novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed in this paper, aiming at solving the fusion problem of multifocus images. The selection principles of different subband coefficients obtained by the NSCT decomposition are discussed in detail. Based on the directional vector normal, a 'selecting' scheme combined with the 'averaging' scheme is presented for the lowpass subband coefficients. Based on the directional bandlimited contrast and the directional vector standard deviation, a selection principle is put forward for the bandpass directional subband coefficients. Experimental results demonstrate that the proposed algorithm cannot only extract more important visual information from source images, but also effectively avoid the introduction of artificial information. It significantly outperforms the traditional discrete wavelet transform-based and the discrete wavelet frame transform-based image fusion methods in terms of both visual quality and objective evaluation, especially when the source images are not perfectly registered.
Lean engineering for planning systems redesign: staff participation by simulation
Authors: Durk-Jouke van der Zee, Arnout Pool, Jakob Wijngaard
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

Lean manufacturing aims at flexible and efficient manufacturing systems by reducing waste in all forms, such as, production of defective parts, excess inventory, unnecessary processing steps, and unnecessary movements of people or materials. Recent research stresses the need to include planning systems in a lean evaluation and redesign of manufacturing systems. Lean planning systems may contribute to a regular, customer focused flow of products. In line with these ideas we study the redesign of a complex planning system for a coffee manufacturing plant. We show how simulation may be used to facilitate the engineering process, by allowing for direct participation, and contributions of planners, managers, and domain experts. More in particular we discuss, and evaluate the use of a modeling framework for manufacturing simulation. It supports conceptual modeling by offering an architecture of high-level class descriptions of manufacturing elements and relationships for specifying simulation models.