ppxscal/embedding_network huggingface dataset:
Dynamic Composition of Disparate Services and Data
Authors: Shu-Qing Peng, De-Yun Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

It is very important for enterprises to integrate disparate services and data to implement a business process without altering the client side applications. In this paper, a new framework that disparate services and data are composed dynamically based on ESB is proposed, in which business process is analyzed into multiple work-data flows. Dynamic routing mechanism is applied to map abstract description of services and data to their respective providers. When service providers and DB providers update, the updating algorithm in routing module is called.
Characterisation of Retinal Feature Points Applied to a Biometric System
Authors: David Calvo, Marcos Ortega, Manuel G. Penedo, José Rouco, Beatriz Remeseiro
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

In this work a methodology for the classification of retinal feature points is applied to a biometric system. This system is based in the extraction of feature points, namely bifurcations and crossovers as biometric pattern. In order to compare a pattern to other from a known individual a matching process takes place between both points sets. That matching task is performed by finding the best geometric transform between sets, i.e. the transform leading to the highest number of matched points. The goal is to reduce the number of explored transforms by introducing the previous characterisation of feature points. This is achieved with a constraint avoiding two differently classified points to match. The empirical reduction of transforms is about 20%.
Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach
Authors: Md. Shiblee, P. K. Kalra, B. Chandra
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The paper aims at training multilayer perceptron with different new error measures. Traditionally in MLP, Least Mean Square error (LMSE) based on Euclidean distance measure is used. However Euclidean distance measure is optimal distance metric for Gaussian distribution. Often in real life situations, data does not follow the Gaussian distribution. In such a case, one has to resort to error measures other than LMSE which are based on different distance metrics [7,8]. It has been illustrated in this paper on wide variety of well known time series prediction problems that generalized geometric and harmonic error measures perform better than LMSE for wide class of problems.
Fault Diagnosis Based on Support Vector Machines and Convex Hulls
Authors: Han Li, Zheng Yuan-yuan, Dong Ru-yi
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Through the analysis of support vector machines principle, the theory of convex hull based on support vector machines is used for the fault diagnosis, with acme-set of convex hull replacing the entire sample set to train, then, use actual data to do the simulation. The simulation results show that this method has the same performance as learning by the entire sample set, but reduces the storage space and improves the learning speed.
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams
Authors: Philipp Kranen, Thomas Seidl
Venue: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I (2009)

Anytime algorithms have been proposed for many different applications e.g. in data mining. Their strengths are the ability to first provide a result after a very short initialization and second to improve their result with additional time. Therefore, anytime algorithms have so far been used when the available processing time varies, e.g. on varying data streams. In this paper we propose to employ anytime algorithms on constant data streams, i.e. for tasks with constant time allowance. We introduce two approaches that harness the strengths of anytime algorithms on constant data streams and thereby improve the over all quality of the result with respect to the corresponding budget algorithm. We derive formulas for the expected performance gain and demonstrate the effectiveness of our novel approaches using existing anytime algorithms on benchmark data sets.The goal that was set and reached in this paper is to improve the quality of the result over that of traditional budget approaches, which are used in an abundance of stream mining applications. Using anytime classification as an example application we show for SVM, Bayes and nearest neighbor classifiers that both our novel approaches improve the classification accuracy for slow and fast data streams. The results confirm our general theoretic models and show the effectiveness of our approaches. The simple yet effective idea can be employed for any anytime algorithm along with a quality measure and motivates further research in e.g. classification confidence measures or anytime algorithms.
The Dynamics of Open Loop Flexible Robots System Base on Efficient Recursive Method
Authors: Fuyang Tian, Hongtao Wu, Hongli Sun
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

This paper presents a new and general technique for solving the dynamics of open loop flexible robots. The operator and articulated body algorithms were used to develop new spatially recursive inverse and forward dynamics algorithms for loop flexible robots systems. Compare to O(n3) dynamics algorithms, this algorithm was O(n). In order to show the performance and accuracy of the proposed method, simulation analysis for different flexible robots system was presented in this paper. When available, the results are compared with those published in previous literature.
Quantifying the Feasibility of Compressive Sensing in Portable Electroencephalography Systems
Authors: Amir M. Abdulghani, Alexander J. Casson, Esther Rodriguez-Villegas
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

The EEG for use in augmented cognition produces large amounts of compressible data from multiple electrodes mounted on the scalp. This huge amount of data needs to be processed, stored and transmitted and consumes large amounts of power. In turn this leads to physically large EEG units with limited lifetimes which limit the ease of use, and robustness and reliability of the recording. This work investigates the suitability of compressive sensing, a recent development in compression theory, for providing online data reduction to decrease the amount of system power required. System modeling which incorporates a review of state-of-the-art EEG suitable integrated circuits shows that compressive sensing offers no benefits when using an EEG system with only a few channels. It can, however, lead to significant power savings in situations where more than approximately 20 channels are required. This result shows that the further investigation and optimization of compressive sensing algorithms for EEG data is justified.
Evaluation of Transmission and Quality Performance of Digital Secure Voice Communications in an HF Network
Authors: Kihong Kim, Jinkeun Hong
Venue: Proceedings of the 2009 Fourth International Conference on Digital Telecommunications (2009)

High-grade narrowband speech security for high frequency (HF) transmissions can be achieved using low rate speech coders and encryption algorithms. This paper presents test results for an HF channel and the structure of a test system that uses a mixed excitation linear prediction (MELP) vocoder for digital plain and secure speech transmission. The system is tested for bit error percentage in the received MELP bitstream, for its spectrum characteristics and with a perceptual evaluation speech quality (PESQ) test for synthetic speech under a number of different test conditions. In this paper, the transmission performance of the digital secure speech is analyzed first, and then the speech quality performance is assessed according to the HF channel distortions. As far as could be determined from the literature, this study represents the comprehensive performance analysis of digital secure speech transmission over HF channels. The results of this study may be used to design a technique for efficient, secure communication over an HF network.
Home and Small Business Guide to Protecting Your Computer Network, Electronic Assets, and Privacy, 1st edition
Authors: Philip Alexander
Venue:  (2009)

In the news on a daily basis are reports of lost or stolen computer data, hacker successes, identity thefts, virus and spyware problems, and network incursions of various kinds. Many people, especially nonprofessional administrators of home or small business networks, feel helpless. In this book, technical security expert Philip Alexander explains in layman's terms how to keep networks and individual computers safe from the bad guys. In presenting solutions to these problems and many others, the book is a lifeline to those who know their computer systems are vulnerable to smart thieves and hackersnot to mention tech-savvy kids or employees who are swapping music files, stealing software, or otherwise making a mockery of the word security.In his job protecting data and combating financial fraud, Philip Alexander knows well which power tools are required to keep hackers and thieves at bay. With his gift for putting technical solutions in everyday language, Alexander helps readers with home and/or small business networks protect their data, their identities, and their privacy using the latest techniques. In addition, readers will learn how to protect PDAs and smartphones, how to make hardware thefts more unlikely, how to sniff out scammers and the motives of offshore tech support personnel who ask too many questions, and how to keep personal information safer when shopping over the Internet or telephone. 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
AvatarSim: A multi-agent system for emergency evacuation simulation
Authors: Sharad Sharma
Venue: Journal of Computational Methods in Sciences and Engineering (2009)

Computer simulations are powerful tools for virtual experiments as compared to real time evacuation drills that are difficult to implement as they are costly and some times dangerous. Simulation is an important tool for emergency response and is used for assessing the vulnerability of a space as well as for training, planning, and decision making. This paper presents AvatarSim, which is a multi-agent system, for simulating emergency evacuation scenarios. It models human behavioral parameters such as stress, anger, and panic which brings a sense of reality during emergency evacuations. It is created in Java and can be displayed on a web browser. The graphical user interface provides agent oriented support for modeling and simulating the behavior of agents in a multi-agent environment.
Accelerated Algorithm for Silhouette Fur Generation Based on GPU
Authors: Gang Yang, Xin-Yuan Huang
Venue: Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments (2009)

In the method that represents fur with multi-layer textured slices, representing silhouette fur is a time consuming work, which requires silhouette-edge detection and fin slices generation. In the paper, we present an accelerated method for representing silhouette fur by taking advantage of the programmable ability of Graphic Process Units (GPU). In the method, by appending edge info on each vertex, the silhouette-edge detection can be implemented in GPU; and by storing fin slices data in video memory in preprocessing, the time spent on fin slices generation and on data transmission from CPU to GPU can be saved. Experimental results show that our method accelerates silhouette fur representation greatly, and hence improves the performance of rendering furry objects.
The Differentiation Analysis of Rural Resident Consumption in Four Economic Plate in China Based on Panel Data Model
Authors: He-rui Cui
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

This paper choose 36 groups of statistic data in rural households, which are located in 12 provinces, autonomous regions and municipalities from 2004 to 2006. uses panel data model, utilizes F-test to verify the panel data model and analysis the difference of rural residents' consumption structure in four economic plate, At the same time, it analysis the social and economical reasons of producing regional difference and draws corresponding conclusions.
Exploratory modeling with collaborative design spaces
Authors: Jerry O. Talton, Daniel Gibson, Lingfeng Yang, Pat Hanrahan, Vladlen Koltun
Venue: ACM Transactions on Graphics (TOG) (2009)

Enabling ordinary people to create high-quality 3D models is a long-standing problem in computer graphics. In this work, we draw from the literature on design and human cognition to better understand the design processes of novice and casual modelers, whose goals and motivations are often distinct from those of professional artists. The result is a method for creating exploratory modeling tools, which are appropriate for casual users who may lack rigidly-specified goals or operational knowledge of modeling techniques. Our method is based on parametric design spaces, which are often high dimensional and contain wide quality variations. Our system estimates the distribution of good models in a space by tracking the modeling activity of a distributed community of users. These estimates drive intuitive modeling tools, creating a self-reinforcing system that becomes easier to use as more people participate. We present empirical evidence that the tools developed with our method allow rapid creation of complex, high-quality 3D models by users with no specialized modeling skills or experience. We report analyses of usage patterns garnered throughout the year-long deployment of one such tool, and demonstrate the generality of the method by applying it to several design spaces.
On Reductive Semantics of Aggregates in Answer Set Programming
Authors: Joohyung Lee, Yunsong Meng
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

Several proposals of the semantics of aggregates are based on different extensions of the stable model semantics, which makes it difficult to compare them. In this note, building upon a reductive approach to designing aggregates, we provide reformulations of some existing semantics in terms of propositional formulas, which help us compare the semantics and understand their properties in terms of their propositional formula representations. We also present a generalization of semantics of aggregates without involving grounding, and define loop formulas for programs with aggregates guided by the reductive approach.
Future tenseMightier than the pen
Authors: Joe Haldeman
Venue: Communications of the ACM (2009)

Future Tense, one of the revolving features on this page, presents stories and essays from the intersection of computational science and technological speculation, their boundaries limited only by our ability to imagine what will and could be.The computer reconfigures me.
A Method Used for Quality Assessment of Construction Project Based on FCE and Group-decision AHP
Authors: Huawang Shi
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

Construction project quality management, the basis of construction management, is crucial for construction firms to survive and grow in the industry. This paper presents the adoption of a fuzzy comprehensive evaluation (FCE) model and group-decision analytical hierarchy process (AHP) to assist decision-makers in evaluating the quality of construction projects in China. We confirmed the weight of each index quantitatively by means of Group-decision AHP according to an established index system. Then, we defined the elements of an assessment matrix using fuzzy and a quality assessment model for construction project was set up. The advantage of this approach is that it does not rely on the experience of experts and it can improve the validity and the precision of evaluation. Consequently, it can reflect the quality status of construction project. 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
Online learning in monkeys
Authors: Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki Colman, Joseph Kemnitz
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

We examine online learning in the context of the Wisconsin Card Sorting Task (WCST), a task for which the concept acquisition strategies for human and other primates are well documented. We describe a new WCST experiment in rhesus monkeys, comparing the monkeys' behaviors to that of online learning algorithms. Our expectation is that insights gained from this work and future research can lead to improved artificial learning systems.
Measuring variability in sentence ordering for news summarization
Authors: Nitin Madnani, Rebecca Passonneau, Necip Fazil Ayan, John M. Conroy, Bonnie J. Dorr, Judith L. Klavans, Dianne P. O'Leary, Judith D. Schlesinger
Venue: Proceedings of the Eleventh European Workshop on Natural Language Generation (2007)

The issue of sentence ordering is an important one for natural language tasks such as multi-document summarization, yet there has not been a quantitative exploration of the range of acceptable sentence orderings for short texts. We present results of a sentence reordering experiment with three experimental conditions. Our findings indicate a very high degree of variability in the orderings that the eighteen subjects produce. In addition, the variability of reorderings is significantly greater when the initial ordering seen by subjects is different from the original summary. We conclude that evaluation of sentence ordering should use multiple reference orderings. Our evaluation presents several metrics that might prove useful in assessing against multiple references. We conclude with a deeper set of questions: (a) what sorts of independent assessments of quality of the different reference orderings could be made and (b) whether a large enough test set would obviate the need for such independent means of quality assessment.
Brief paper: Robust actuator fault isolation and management in constrained uncertain parabolic PDE systems
Authors: Sathyendra Ghantasala, Nael H. El-Farra
Venue: Automatica (Journal of IFAC) (2009)

This paper presents a methodology for the design of an integrated robust fault detection and isolation (FDI) and fault-tolerant control (FTC) architecture for distributed parameter systems modeled by nonlinear parabolic Partial Differential Equations (PDEs) with time-varying uncertain variables, actuator constraints and faults. The design is based on an approximate finite-dimensional system that captures the dominant dynamics of the PDE system. Initially, an invertible coordinate transformation-obtained through judicious actuator placement-is used to transform the approximate system into a form where the evolution of each state is excited directly by only one actuator. For each state, a robustly stabilizing bounded feedback controller that achieves an arbitrary degree of asymptotic attenuation of the effect of uncertainty is then synthesized and its constrained stability region is explicitly characterized in terms of the constraints, the actuator locations and the size of the uncertainty. A key idea in the controller synthesis is to shape the fault-free closed-loop response of each state in a prescribed fashion that facilitates the derivation of (1) dedicated FDI residuals and thresholds for each actuator, and (2) an explicit characterization of the state-space regions where FDI can be performed under uncertainty and constraints. A switching law is then derived to orchestrate actuator reconfiguration in a way that preserves robust closed-loop stability following FDI. Precise FDI rules and control reconfiguration criteria that account for model reduction errors are derived for the implementation of the FDI-FTC structure on the distributed parameter system. Finally, the results are demonstrated using a tubular reactor example.
MUPRET: An Ontology-Driven Traceability Tool for Multiperspective Requirements Artifacts
Authors: Namfon Assawamekin, Thanwadee Sunetnanta, Charnyote Pluempitiwiriyawej
Venue: Proceedings of the 2009 Eigth IEEE/ACIS International Conference on Computer and Information Science (2009)

Multiperspective requirements traceability (MUPRET) tool is resulted from our attempt in resolving the heterogeneity in traceability of multiperspective requirements artifacts. The MUPRET tool facilitates the automatic extraction and construction of requirements elements of an individual stakeholder into a so-called requirements ontology. As a result, multiperspective requirements artifacts of different stakeholders are captured in a common taxonomy imposed by the sharing base of requirements ontology. The tool then automatically generates traceability links by matching requirements ontologies. This paper presents the architecture of the MUPRET tool, together with an illustrative example of its applications.
User Modeling of Disabled Persons for Generating Instructions to Medical First Responders
Authors: Luca Chittaro, Roberto Ranon, Luca Marco, Augusto Senerchia
Venue: Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH (2009)

To provide personalized health recommendations concerning disabled persons, an adaptive system needs a detailed user model that can account for the peculiar aspects of the many existing disabilities. This paper describes how we built such a user model and illustrates the Web-based system that allows all interested stakeholders to access and provide user model data.
Existence of solutions for generalized vector quasi-variational-like inequalities without monotonicity
Authors: Xiao Gang, Sanyang Liu
Venue: Computers Mathematics with Applications (2009)

In this paper, we introduce and study four kinds of generalized vector quasi-variational-like inequalities without monotonicity or pseudomonotonicity in Hausdorff topological vector spaces. By means of fixed point theorem, we obtain some existence theorems of solutions for four kinds of generalized vector quasi-variational-like inequalities.