ppxscal/embedding_network huggingface dataset:
Study on Crack Forecast Model of Continuous Casting Slab
Authors: Jie Sun, Junxia Wang, Zhengwei Liu
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

The detailed analysis of crack prediction in the continuous casting production at national and abroad has been presented. Based on clustering subtraction of ANFIS fuzzy adaptive network modeling and simulation, the simulation result prove that according to the signs, it can forecast cracks before it appear. Resolved the former equipments error crack examination detection problem, lowered the crack occurrence rate effectively, and increased the quantity of the continuous casting slab.
The Application of RBF Neural Network on Construction Cost Forecasting
Authors: Zhigang Ji, Yajing Li
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

In construction cost forecasting system, a great many uncertain factors effect the cost decision-making, so it is difficult to do effective forecasting by using traditional methods such as time series approach, regression analysis. In this paper, a nonlinear model based on RBF Neural Network is presented. There are some ameliorated measures in leaning algorithm of Radial Basis Function (RBF) neural network. The number and the centric value of hidden layer are determined by using immune algorithm. The supervisory algorithm is taken as method of adjustable weight of output layer. Using above measures, the network is optimized, and the forecast model obtains the precise and objective solution. The construction cost forecasting model based on RBF neural network, realized the classification, analysed and forecasted the construction cost and realized the intellectualized management of congstruction project., which also provide the construction manager with better decision-making basis. After considering a number of uncertain factors, the result is more accrurate. Moreover, the result of the experiment had indicated that the validity and superiority of the method of RBF neural network, comparing to artificial neural network (Back Propagation, BP). So it has broad application prospect in other fields.
A bush encroachment decision support system's metamorphosis
Authors: Heike Winschiers-Theophilus, Jens Fendler, Colin Stanley, Dave Joubert, Ibo Zimmermann, Sebastian Mukumbira
Venue: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (2008)

Since the inception of our bush-encroachment decision support system, we have gone through many cycles of adaptations while striving towards what we believed to be a usable system. A fundamental difference between community based users and individualistic users necessitates a change in the design and evaluation methods as well as a community agreement of concepts and values guiding the design. In this paper we share the lessons learned along the story depicting the metamorphosis of a bush encroachment decision support system in Southern African rangelands. Above and beyond community members participating in the design and evaluation of the system, they establish the community grounded values determining the system's quality concepts such as usability.
Design and Application of Communication Gateway Based on FlexRay and CAN
Authors: Hui Li, Hao Zhang, Daogang Peng, Wen Huang
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

Different protocol conversion is a regular problem on industrial field data communication networks. In this article, we design a Flex Ray and CAN communication gateway, mainly discussing system design, hardware design and software design in detail. The gateway can realize bidirectional transceiving data on FlexRay bus and CAN bus. It implements a conversion of two different protocols. In addition, the gateway can acquire 0-5V analog data directly, as well as communicate with supervisory system through RS232 interface. The communication gateway has a wide range of application in industrial control field.
The cubic Segre variety in PG(5, 2)
Authors: Ron Shaw, Neil A. Gordon
Venue: Designs, Codes and Cryptography (2009)

The Segre variety $${\mathcal{S}_{1,2}}$$ in PG(5, 2) is a 21-set of points which is shown to have a cubic equation Q(x) = 0. If T(x, y, z) denotes the alternating trilinear form obtained by completely polarizing the cubic polynomial Q, then the associate U # of an r-flat $${U \subset {\rm PG}(5, 2)}$$ is defined to be $$U^{\#} = \{z \in {\rm PG}(5, 2)\,|\,T(u_{1}, u_{2}, z) = 0\, {\rm for \, all}\, u_{1}, u_{2} \in U\},$$ and so is an s-flat for some s. Those lines L of PG(5, 2) which are singular, satisfying that is L # = PG(5.2), are shown to form a complete spread of 21 lines. For each r-flat $${U \subset {\rm PG}(5, 2)}$$ its associate U # is determined. Examples are given of four kinds of planes P which are self-associate, P # = P, and three kinds of planes for which P, P #, P ## are disjoint planes such that P ### = P.
Application of Queueing Network Models in the Performance Evaluation of Database Designs
Authors: Rasha Osman, Irfan Awan, Michael E. Woodward
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

In this paper, we model database designs using queueing networks, giving visibility to the dynamic behaviour of the database design and allowing the database designer to experiment with different design decisions. Our approach is to abstract away the more detailed levels of the database system design by concentrating on the information that is available to the database designer at design time. It differs from other methods of database system performance evaluation in that the performance assessment is specifically targeted at the database design, not at the database system software architecture. We present a bottleneck evaluation of the Transaction Processing Performance Council TPC-C benchmark under different workload conditions and demonstrate how this affects database design decisions.
ThermalScope: multi-scale thermal analysis for nanometer-scale integrated circuits
Authors: Nicholas Allec, Zyad Hassan, Li Shang, Robert P. Dick, Ronggui Yang
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Thermal analysis has long been essential for designing reliable, high-performance, cost-effective integrated circuits (ICs). Increasing power densities are making this problem more important. Characterizing the thermal profile of an IC quickly enough to allow feedback on the thermal effects of tentative design changes is a daunting problem, and its complexity is increasing. The move to nanoscale fabrication processes is increasing the importance of quantum thermal phenomena such as ballistic phonon transport. Accurate thermal analysis of nanoscale ICs containing hundreds of millions of devices requires characterization of thermal effects on length scales that vary by several orders of magnitude, from nanoscale quantum thermal effects to centimeter-scale cooling package impact. Existing chip-package thermal analysis methods based on classical Fourier heat transfer cannot capture nanoscale quantum thermal effects. However, accurate device-level modeling techniques, such as molecular dynamics methods, are far too slow for use in full-chip IC thermal analysis. In this work, we propose and develop ThermalScope, a multi-scale thermal analysis method for nanoscale IC design. It unifies microscopic and macroscopic thermal physics modeling methods, i.e., the Fourier and Boltzmann transport modeling methods. Moreover, it supports adaptive multi-resolution modeling. Together, these ideas enable efficient and accurate characterization of nanoscale quantum heat transport as well as chip-package level heat flow. ThermalScope is designed for full-chip thermal analysis of billion-transistor nanoscale IC designs, with accuracy at the scale of individual devices. ThermalScope enables accurate characterization of temperature-related effects, such as variation in leakage power and delay. ThermalScope has been implemented in software and used for full-chip thermal analysis and temperature-dependent leakage analysis of an IC design with more than 150 million transistors. It will be publicly released for free academic and personal use.
Shape deformation in continuous map generalization
Authors: Jeff Danciger, Satyan L. Devadoss, John Mugno, Don Sheehy, Rachel Ward
Venue: Geoinformatica (2009)

Given a collection of regions on a map, we seek a method of continuously altering the regions as the scale is varied. This is formalized and brought to rigor as well-defined problems in homotopic deformation. We ask the regions to preserve topology, area-ratios, and relative position as they change over time. A solution is presented using differential methods and computational geometric techniques. Most notably, an application of this method is used to provide an algorithm to obtain cartograms.
A Grid-Aware Web Portal with Advanced Service Trading for Linear Algebra Calculations
Authors: Hrachya Astsatryan, Vladimir Sahakyan, Yuri Shoukouryan, Michel Daydé, Aurelie Hurault, Marc Pantel, Eddy Caron
Venue: High Performance Computing for Computational Science - VECPAR 2008: 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers (2008)

Due to the rapid growth of the Internet, there has been a rising interest in using the Web as an interface to develop various applications over computational Grid environments. The purpose of this work is to develop a Grid-aware Web interface for linear algebra tasks with advanced service trading. Developing efficient and portable codes, requires users to face parallel computing and programming and to make use of different standard libraries, such as the BLAS [1], LAPACK [2] and ScaLAPACK [3] in order to solve computational tasks related to linear algebra. For this purpose, a scientific computing environment based on a Web interface is described that allows users to perform their linear algebra tasks without explicitly calling the above mentioned libraries and softwarep tools, as well as without installing any piece of software on local computers: users enter algebraic formula (such as in Matlab or Scilab [4]) that are evaluated for determining the combinations of services answering the user request. Services are then executed locally or over the Grid using the Distributed Interactive Engineering Toolbox (DIET) [5] middleware.
Online figure-ground segmentation with adaptive metrics in generalized LVQ
Authors: Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner
Venue: Neurocomputing (2009)

We address the problem of fast figure-ground segmentation of single objects from cluttered backgrounds to improve object learning and recognition. For the segmentation, we use an initial foreground hypothesis to train a classifier for figure and ground on topographically ordered feature maps with generalized learning vector quantization. We investigate the contribution of several adaptive metrics to enable generalization to the main object parts and derive a foreground classification, which yields an improved bottom-up hypothesis. We show that metrics adaptation is a powerful enrichment, where generalizing the Euclidean metrics towards local matrices of relevance factors leads to a higher classification accuracy and considerable robustness on partially inconsistent supervised information. Additionally, we verify our results in an online learning scenario and show that figure-ground segregation using this adaptive metrics enables a considerably higher recognition performance on segmented object views.
Growth of high-quality, uniform c-axis-oriented zinc oxide nano-wires on a-plane sapphire substrate with zinc oxide templates
Authors: A. Reiser, V. Raeesi, G. M. Prinz, M. Schirra, M. Feneberg, U. Röder, R. Sauer, K. Thonke
Venue: Microelectronics Journal (2009)

High-quality, vertically aligned zinc oxide (ZnO) nano-wires were grown by the vapour-transport method on (112@?0) (a-plane) sapphire substrate covered by a uniform ZnO nano-crystalline seed layer which was deposited in a preceding growth step via simple chemical vapour deposition. A thin layer of close-packed nano-seeds with an average size of 12nm was formed rapidly on the substrate by sublimation and thermal decomposition of zinc acetate dihydrate as the precursor at moderate temperatures and pressures. Subsequently, growth of ZnO nano-wires was performed by a carbo-thermal vapour-transport method yielding nano-wires with high reproducibility and homogeneity. The as-grown, c-axis-oriented nano-wires exhibit excellent luminescence properties and perfect alignment with respect to the substrate surface.
Identification of Feature Denial of Services
Authors: Rui Gustavo Crespo
Venue: Proceedings of the 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies (2008)

Internet applications, such as Email, VoIP and WWW, have been enhanced with many features. However, the introduction and modification of features may result in undesired behaviors, and this effect is known as feature interaction-FI. FI resolution may be implemented by a Feature Manager, which is directed by a set of interdiction formulas. On the other hand, the approach by interdiction may eliminate all features candidate for execution, and this result on a feature denial of service. In this paper we analyze how feature denial of service can be detected, with a design stage algorithm. The detection algorithm has a time complexity of the quadratic of interdiction formulas.
Exploring multicore computing education in China by model curriculum construction
Authors: Wei Hu, Tianzhou Chen, Qingsong Shi
Venue: Proceedings of the 1st ACM Summit on Computing Education in China on First ACM Summit on Computing Education in China (2008)

Chip Multiprocessor (CMP) has been the main stream in microprocessor design with the progress in semiconductor technology area. It has brought new changes to computer architecture. This is also an enormous challenge to the universities in how to teach the new concepts to the students. We have designed an independent multicore curriculum in Zhejiang University to introduce multicore computing into our university. This curriculum has been identified as Model Curriculum in China. In this paper, we share our experiences in multicore education by model curriculum construction.
Preliminary results: humans find emotive non-anthropomorphic robots more calming
Authors: Cindy L. Bethel, Kristen Salomon, Robin R. Murphy
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

This paper describes preliminary results of a large-scale, complex human study in HRI in which results show that participants were calmer interacting with non-anthropomorphic robots operated in an emotive mode versus a standard, non-emotive mode.
Evidence Theory-Based Multimodal Emotion Recognition
Authors: Marco Paleari, Rachid Benmokhtar, Benoit Huet
Venue: Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling (2009)

Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aiming for real-time, unconstrained, and person independent scenarios. In this paper, we explore audio-visual multimodal emotion recognition. We present SAMMI, a framework designed to extract real-time emotion appraisals from non-prototypical, person independent, facial expressions and vocal prosody. Different probabilistic method for fusion are compared and evaluated with a novel fusion technique called NNET. Results shows that NNET can improve the recognition score (CR + ) of about 19% and the mean average precision of about 30% with respect to the best unimodal system.
Covering a Simple Polygon by Monotone Directions
Authors: Hee-Kap Ahn, Peter Brass, Christian Knauer, Hyeon-Suk Na, Chan-Su Shin
Venue: Proceedings of the 19th International Symposium on Algorithms and Computation (2008)

In this paper we study the problem of finding a set of k directions for a given simple polygon P, such that for each point p &epsilon; P there is at least one direction in which the line through p intersects the polygon only once. For k = 1, this is the classical problem of finding directions in which the polygon is monotone, and all such directions can be found in linear time for a simple n-gon. For k > 1, this problem becomes much harder; we give an O(n 5log2 n)-time algorithm for k = 2, and O(n 3k + 2)-time algorithm for k &ge; 3. These results are the first on the generalization of the monotonicity problem.
Towards Microcantilever-based Force Sensing and Manipulation: Modeling, Control Development and Implementation
Authors: Reza Saeidpourazar, Nader Jalili
Venue: International Journal of Robotics Research (2009)

This paper presents a distributed-parameters-based modeling framework for piezoresistive microcantilever (MC)-based force sensors used in a variety of cantilever-based nanomanipulation processes. Current modeling practices call for a simple lumped-parameters approach rather than modeling the piezoresistive MC itself. Owing to the widespread applications of such MCs in nanoscale force sensing or non-contact atomic force microscopy with nano-Newton to pico-Newton force measurement requirements, precise modeling of the piezoresistive MCs is essential. Instead of the previously used lumped-parameters modeling, a distributed-parameters modeling framework is proposed and developed here to arrive at the most complete model of the piezoresistive MC including tip-mass, tip-force and base movement considerations. In order to have online control and real-time sensor feedback, a closed-form model of the piezoresistive MC, which expresses the MC's piezoresistive output voltage as a function of tip force and base motion, is highly desirable. Along this line of reasoning, a closed-form model for the piezoresistive MC is presented. Following mathematical modeling, both numerical simulations and experimental results are presented to demonstrate the accuracy of the proposed distributed-parameters model when compared with the previously reported lumped-parameters modeling approach. Utilizing the developed model, a modified robust controller with perturbation estimation is adopted to target the problem of slow imaging acquisition and manipulation at the nanoscale. It is shown that the proposed controller can stabilize such nanomanipulation process in less than a second. Experimental results are presented to demonstrate the stability and performance characteristics of the designed controller. Such modeling and control development could pave the way for MC-based nanomanipulation and nanopositioning.
Silverlight 2 Bible
Authors: Brad Dayley
Venue:  (2008)

Silverlight 2 is a powerful Internet application and Microsoft's solution for delivering rich, cross-platform, interactive experiences including animation, graphics, audio, and video for rich internet applications. The Silverlight 2 Bible, will provide you with a strong foundation in Silverlight whereby you will quickly be able to create and deliver a variety of Silverlight applications. This book will show you exactly how to build everything from basic Silverlight-enabled web pages with graphics and video, to professional, Silverlight-enhanced ASP.NET applications that link to powerful back-end services. The Silverlight 2 Bible will discuss development tools, such as Visual Studio 2008, as well as design tools such as Expression Blend, Expression Encoder and Deep Zoom Composer, which Microsoft has positioned for designing state of the art UI in Silverlight applications.
Order-N cluster Monte Carlo method for spin systems with long-range interactions
Authors: Kouki Fukui, Synge Todo
Venue: Journal of Computational Physics (2009)

An efficient O(N) cluster Monte Carlo method for Ising models with long-range interactions is presented. Our novel algorithm does not introduce any cutoff for interaction range and thus it strictly fulfills the detailed balance. The realized stochastic dynamics is equivalent to that of the conventional Swendsen-Wang algorithm, which requires O(N^2) operations per Monte Carlo sweep if applied to long-range interacting models. In addition, it is shown that the total energy and the specific heat can also be measured in O(N) time. We demonstrate the efficiency of our algorithm over the conventional method and the O(NlogN) algorithm by Luijten and Blote. We also apply our algorithm to the classical and quantum Ising chains with inverse-square ferromagnetic interactions, and confirm in a high accuracy that a Kosterlitz-Thouless phase transition, associated with a universal jump in the magnetization, occurs in both cases.
Using the patient's questionnaire data to screen laryngeal disorders
Authors: A. Verikas, A. Gelzinis, M. Bacauskiene, V. Uloza, M. Kaseta
Venue: Computers in Biology and Medicine (2009)

This paper is concerned with soft computing techniques for screening laryngeal disorders based on patient's questionnaire data. By applying the genetic search, the most important questionnaire statements are determined and a support vector machine (SVM) classifier is designed for categorizing the questionnaire data into the healthy, nodular and diffuse classes. To explore the obtained automated decisions, the curvilinear component analysis (CCA) in the space of decisions as well as questionnaire statements is applied. When testing the developed tools on the set of data collected from 180 patients, the classification accuracy of 85.0% was obtained. Bearing in mind the subjective nature of the data, the obtained classification accuracy is rather encouraging. The CCA allows obtaining ordered two-dimensional maps of the data in various spaces and facilitates the exploration of automated decisions provided by the system and determination of relevant groups of patients for various comparisons.
The Acoustic Front-End in Scenarios of Interaction Research
Authors: Rüdiger Hoffmann, Lutz-Michael Alisch, Uwe Altmann, Thomas Fehér, Rico Petrick, Sören Wittenberg, Rico Hermkes
Venue: Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction: COST Action 2102 International Conference, Patras, Greece, October 29-31, 2007. Revised Papers (2008)

The paper is concerning some problems which are posed by the growing interest in social interaction research as far as they can be solved by engineers in acoustics and speech technology. Firstly the importance of nonverbal and paraverbal modalities in two prototypical scenarios are discussed: face-to-face interactions in psychotherapeutic consulting and side-by-side interactions of children cooperating in a computer game. Some challenges in processing signals are stated with respect to both scenarios. The following technologies of acoustic signal processing are discussed: (a) analysis of the influence of the room impulse response to the recognition rate, (b) adaptive two-channel microphone, (c) localization and separation of sound sources in rooms, and (d) single-channel noise suppression.