ppxscal/embedding_network huggingface dataset:
Automatic Reading of Aeronautical Meteorological Messages
Authors: Luis Delgado, Núria Castell
Venue: Proceeding of the 2007 conference on Artificial Intelligence Research and Development (2007)

This paper describes the architecture developed to produce an automatic reader of aeronautical meteorological messages. An interlingua has been used and a whole process of natural language generation has been implemented. The system Festival has been used with a modified voice to read the messages generated. The presented system is able to translate the meteorological messages into a natural language text and read it.
Content-based alternatives to conventional network monitoring systems
Authors: George Louthan, Brady Deetz, Matthew Walker, John Hale
Venue: Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies (2009)

Network monitoring and management rely extensively upon network protocol identification as one of the most basic acts of analysis of network traffic. However, the conventional method of identifying network protocols based upon standard or well-known port numbers is no longer sufficient for modern networks, given the propensities for users and programs to change ports dynamically or use nonstandard ports. Unfortunately, this calls into question the ability of the collection of standard tools to gather reliable network intelligence.
Automatic Partial Face Alignment in NIR Video Sequences
Authors: Jimei Yang, Shengcai Liao, Stan Z. Li
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

Face recognition with partial face images is an important problem in face biometrics. The necessity can arise in not so constrained environments such as in surveillance video, or portal video as provided in Multiple Biometrics Grand Challenge (MBGC). Face alignment with partial face images is a key step toward this challenging problem.In this paper, we present a method for partial face alignment based on scale invariant feature transform (SIFT). We first train a reference model using holistic faces, in which the anchor points and their corresponding descriptor subspaces are learned from initial SIFT keypoints and the relationships between the anchor points are also derived. In the alignment stage, correspondences between the learned holistic face model and an input partial face image are established by matching keypoints of the partial face to the anchor points of the learned face model. Furthermore, shape constraint is used to eliminate outlier correspondences and temporal constraint is explored to find more inliers. Alignment is finally accomplished by solving a similarity transform. Experiments on the MBGC near infrared video sequences show the effectiveness of the proposed method, especially when PCA subspace, shape and temporal constraint are utilized.
Ventricular Mechanical Asynchrony in Pulmonary Arterial Hypertension: A Model Study
Authors: Joost Lumens, Theo Arts, Tammo Delhaas
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

In pulmonary arterial hypertension (PH), increase of myofiber contraction duration in the right ventricular (RV) free wall as compared to that in the left ventricular (LV) free wall leads to mechanical asynchrony. We used the lumped TriSeg model describing ventricular mechanics to determine effects of increasing pulmonary resistance and of changing time of RV free wall activation on ventricular pump mechanics and on myofiber mechanics in the ventricular walls. Simulated circumferential strain in the ventricular walls under normal and PH conditions agreed with measurements in patients. When the RV free wall was early activated with respect to the LV free wall and septum, simulations showed decreased RV volume and decreased myofiber work in the RV free wall whereas LV free wall and septal myofiber work increased. This suggests that RV free wall pacing in PH improves RV pump function and increases homogeneity of myofiber load in the ventricular walls.
Compiler-Based Performance Evaluation of an SIMD Processor with a Multi-Bank Memory Unit
Authors: Hoseok Chang, Junho Cho, Wonyong Sung
Venue: Journal of Signal Processing Systems (2009)

The single instruction multiple data (SIMD) architecture is very efficient for executing arithmetic intensive programs, but frequently suffers from data-alignment problems. The data-alignment problem not only induces extra time overhead but also hinders automatic vectorization of the SIMD compiler. In this paper, we compare three on-chip memory systems, which are single-bank, multi-bank, and multi-port, for the SIMD architecture to resolve the data-alignment problems. The single-bank memory is the simplest, but supports only the aligned accesses. The multi-bank memory requires a little higher complexity, but enables the unaligned accesses and the stride accesses with a bank-conflict limitation. The multi-port memory is capable of both the unaligned and stride accesses without any restriction, but needs quite much expensive hardware. We also developed a vectorizing compiler that can conduct dynamic memory allocation and SIMD code generation. The performances of the three memory systems with our SIMD compiler are evaluated using several digital signal processing kernels and the MPEG2 encoder. The experimental results show that the multi-bank memory can carry out MPEG2 encoding 5.8 times faster, whereas the single-bank memory only achieves 2.9 times speed-up when employed in a multimedia system with a 2-issue host processor and an 8-way SIMD coprocessor. The multi-port memory obviously shows the best performance, which is however an impractical improvement over the multi-bank memory when the hardware cost is considered.
Adversarial Sequence Prediction
Authors: Bill Hibbard
Venue: Proceeding of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference (2008)

Sequence prediction is a key component of intelligence. This can be extended to define a game between intelligent agents. An analog of a result of Legg shows that this game is a computational resources arms race for agents with enormous resources. Software experiments provide evidence that this is also true for agents with more modest resources. This arms race is a relevant issue for AI ethics. This paper also discusses physical limits on AGI theory.
On the rigidity of molecular graphs
Authors: Bill Jackson, Tibor Jord&#x00e1;n
Venue: Combinatorica (2008)

The rigidity of squares of graphs in three-space has important applications to the study of flexibility in molecules. The Molecular Conjecture, posed in 1984 by T.-S. Tay and W. Whiteley, states that the square G 2 of a graph G of minimum degree at least two is rigid if and only if G has six spanning trees which cover each edge of G at most five times. We give a lower bound on the degrees of freedom of G 2 in terms of forest covers of G. This provides a self-contained proof that the existence of the above six spanning trees is a necessary condition for the rigidity of G 2. In addition, we prove that the truth of the Molecular Conjecture would imply that our lower bound is tight, and would also imply that a conjecture of Jacobs on &#x2018;independent&#x2019; squares is valid.
Adaptive string distance measures for bilingual dialect lexicon induction
Authors: Yves Scherrer
Venue: Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop (2007)

This paper compares different measures of graphemic similarity applied to the task of bilingual lexicon induction between a Swiss German dialect and Standard German. The measures have been adapted to this particular language pair by training stochastic transducers with the Expectation-Maximisation algorithm or by using handmade transduction rules. These adaptive metrics show up to 11% F-measure improvement over a static metric like Levenshtein distance.
Using interaction models to detect and resolve inconsistencies in evolving service compositions
Authors: Renée Elio, Eleni Stroulia Warren Blanchet
Venue: Web Intelligence and Agent Systems (2009)

Service-oriented architecture is emerging as a compelling paradigm for developing web-based software applications. According to this architectural style, the functional components of the system are implemented in various programming languages as network-accessible &ldquo;services&rdquo; declaratively specified (in WSDL) and hierarchically composed in complex processes (using BPEL4WS). Despite this fundamentally distributed conceptualization of software architecture, most current BPEL4WS execution engines assume that the specification of the process composition is interpreted at run time by a central middleware node. This implies inflexible composition evolution: each time a partner process must be updated, all compositions to which it participates must also be updated to avoid potential failures at run time. This paper presents the WRABBIT project, which associates web services with agents capable of communication and reflective process execution. Through their reflective process execution, agents recognize run-time &ldquo;conversation&rdquo; errors, i.e., errors that occur due to changes in the rules of how the partner process should be composed. The agents consult declarative policy specifications to resolve such conversation failures, and they recover when these policies themselves are missing or incongruent. The ability to recover from these types of interaction errors requires an investment in a general web agent architecture that operates on a consistently modeled set of declarative specifications. The benefits and challenges of this approach for distributed services are discussed.
Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 27th International Workshop on Bayesian Inference and Maximum Entropy Methods, 1st edition
Authors: Kevin H. Knuth, Kevin H. Knuth, Ariel Caticha, Julian L. Center, Adom Giffin, Carlos C. Rodrguez
Venue: Mathematical And Statistical Phsyics (2007)

For over 25 years the MaxEnt workshops have explored the use of Bayesian probability theory, entropy and information theory in scientific and engineering applications. This volume considers Methods, Applications, and Foundations. Application areas include, but are not limited to: astronomy, physics, chemistry, biology, Earth science and engineering.
Time series analysis of open-source software projects
Authors: Liguo Yu, S. Ramaswamy, R. B. Lenin, V. L. Narasimhan
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

Open-source software projects are characterized by their loose management property. Most of the activities of their developers are voluntary instead of mandatory. Compared to closed-source software projects, open-source projects are less dependent on external turbulence, but more on its own structure and operation mechanism. In this paper, we assume that the activities of open-source software projects are only dependent on time. We use time series analysis techniques to study the time dependence of open-source software activities. The activities of open-source Software projects are extracted from mailing lists, bug reports, and revision history. Three mailing list (Linux, FreeBSD, and Apache HTTP), two bug archives (Eclipse and Apache Software Foundation), and one revision history (Apache Software Foundation) are mined. Various time series analysis techniques are used. We find that some activities of some open-source projects are cyclic and seasonally dependent, some are cyclic but seasonally independent, and some are acyclic. We build regression models for cyclic activities and analyzed their model accuracy.
A Multi-Criteria Decision Aiding System to Support Monitoring in a Public Administration
Authors: Maria Franca Norese, Simona Borrelli
Venue: Proceeding of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges (2008)

The Piedmont Region Financial Institute has had to construct a procedure and a system to monitor projects that a regional law has financed. In this context, the integration of a new data reading approach in a monitoring procedure has been proposed and a multi-criteria decision aiding method, ELECTRE TRI, has been applied to the problem, first to explain a possible use of the acquired information and then to be integrated in the information system. The Model base of the prototype system was used, as a shared space and a common framework, to better understand the aims and information needs of the monitoring process and therefore to read data and orient information acquisition. The application of ELECTRE TRI to the models analytically synthesizes the information elements, to face the difficulties of the monitoring process in its different phases and to support decisions, in terms of modifications and integrations of activities for future law applications.
Line removal and handwritten word recognition of police accident report forms
Authors: Daekeun You, Zhixin Shi, Venu Govindaraju, Alan Blatt
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

In this paper, we present an approach for line removal and handwritten word recognition using the New York State MV- 104A Police Accident Report (PAR) form. Only limited space is available on the form for written inputs and hence many handwritten characters overlap or touch the form's preprinted lines and characters. The complex structure of the form and the touching characters make line removal and word recognition difficult. We addressed this problem using run-length coding scheme and baseline analysis. Preliminary word recognition tests show promising results for PAR form processing and filled-in data extraction and recognition.
6 Sigma tools for management of defects by steel casted parts
Authors: Bogdan Dumitru, Gabriel Marius Dumitru
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

For the producers of large and medium casted parts the defects management and defects volume reduction has proven to be a very important concern, regarding the cost reduction in the manufacturing process and therefore the margin increase in a stable market with long term profits. Given the tendencies for raw materials and energy on the global market this can be seen also as a survival need of the business unit. Modern approaches like the Six Sigma tools are used to diagnose and improve the casting process for large parts. The main tool considered is DMAIC, which guide the project through the steps of improvement, from problem pinpointing to the implementation of result/solutions into the management system of the business unit.
Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method
Authors: Feng Gao, Haizhou Ai
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

As we all know, face age estimation task is not only challenging for computer, but even hard for human in some cases, however, coarse age classification such as classifying human face as baby, child, adult or elder people is much easier for human. In this paper, we try to dig out the potential age classification power of computer on faces from consumer images which are taken under various conditions. Gabor feature is extracted and used in LDA classifiers. In order to solve the intrinsic age ambiguity problem, a fuzzy version LDA is introduced through defining age membership functions. Systematic comparative experiment results show that the proposed method with Gabor feature and fuzzy LDA can achieve better age classification precision in consumer images.
Convergence and interdependence between ASEAN-5 stock markets
Authors: Lee K. Lim
Venue: Mathematics and Computers in Simulation (2009)

Rapid growth and low correlations between emerging markets in the South-East Asian region can offer higher returns and lower portfolio risk for international investors. This paper examines the linkages between the stock markets of the Association of Southeast Asian Nations' (ASEAN) five original member countries, namely Indonesia, Malaysia, the Philippines, Singapore and Thailand (hereafter referred to as ASEAN-5) over the period 1990-2008. The primary focus is to consider the correlations and long-run relationships among the ASEAN-5 market indices and whether there are signs of converging or increased cross-market integration after the 1997 Asian financial crisis. Overall, there is some evidence of an increase in the level of integration and interdependence between the ASEAN-5 markets after the financial crisis. In addition, the US market is found to have significant influence on all ASEAN-5 markets.
Nondeterministic modeling and verification of networked robotic systems
Authors: Eric Klavins
Venue:  (2008)

The advent and integration of wide-scale networking capabilities into the technological fabric of our society has spurred interest in the control of large scale networked multi-agent systems. The applications include air-traffic control, automated highway systems, and coordinated search and reconnaissance. The scale of these applications requires a distributed control methodology, and their potential integration with daily life requires proofs of safety, ease in programming and program distribution, self-organizing and self-stabilizing behaviors, and a general plug-and-play capability. Designing distributed control is challenging because communicating subsystems (cars, planes, etc.) are spatially distributed, and the flow of information among the subsystems is the result of complex interactions between their software, geometry, environment and operational modes. In supporting these developing needs, the main contributions of this thesis are the following: (1) A unified, graph-centric, local model of networked multi-agent systems called embedded graph grammars that abstracts away variables associated with message passing and considers all nondeterrninistic trajectories corresponding to different communication timings, communication orderings and program structures; (2) A design process which (in conjunction with the noncieterministic behavior of the embedded graph grammar model) provides an abstract control program that is portable across platforms; (3) Efficient (eventually automated) methods of reasoning about these systems and models, in particular Lexicographic Lyapunov Functions.
Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Venue: Annual Joint Conference Integrating Technology into Computer Science Education (2009)

Welcome to Paris and the 14th Annual ACM SIGCSE conference on Innovation and Technology in Computer Science Education (ITiCSE 2009) at Université Pierre et Marie Curie -- Paris 6 (UPMC). We are pleased to present the proceedings of the conference. It includes papers, panels, posters, keynote talks, tips, techniques and courseware that reflect the broad array of interests of computer science educators. We received a record number of 317 academic submissions this year. We accepted 66 of 205 papers, an acceptance rate of 32%. Each paper received at least four reviews, with many receiving five or six reviews. We accepted 14 of 38 tips, techniques, and courseware proposals and three panels; all submissions likewise received at least 4 reviews. The program includes 52 posters. We saw a significant increase in working group submissions and accepted 6 of the 14 submitted. All working group proposals and posters received careful review as well. The program features three distinguished invited speakers. Dr. Claus Brabrand, of IT University of Copenhagen, speaks on "Analyzing the Competences of (Computer) Science via the SOLO Taxonomy". Ms Sally Fincher, of University of Kent, speaks on Useful Sharing. "The Bologna Process" is title of the talk by Dr. Patrick Porcheron of UPMC. In addition to the technical sessions, the symposium features several vendors and vendor sessions. We thank our exhibitors and supporters for their generosity. As you enjoy the presentations and discussions, we also hope that you will take advantage of what the area has to offer. The conference venue is in the heart of historic and artistic Paris and is an ideal place to discover Paris. UPMC is located in the Latin Quarter on the left bank of the River Seine and is within walking distance to several attractions including the Notre Dame Cathedral, the Pantheon, and the Louvre.
An Efficient Adaptive Channel Estimation Algorithm for MIMO OFDM Systems--Study of Doppler Spread Tolerance
Authors: Haideh M. Karkhanechi, Bernard C. Levy
Venue: Journal of Signal Processing Systems (2009)

In this paper we develop an adaptive MIMO channel estimation algorithm for space---time block coded OFDM systems. The presented algorithm is based on Expectation Maximization (EM) technique by decomposing the superimposed received signals into their signal components, and estimating the channel parameters of each signal component separately. We also study and compare our proposed EM-based algorithm with a previously introduced recursive-least-squares based algorithm for MIMO OFDM systems. At each iteration the EM algorithm decomposes the problem of multi-channel estimation into channel estimation for each transmit---receive link. In this paper we also study the Doppler spread tolerance of our proposed algorithm in a fast fading environment, and investigate how it affects the system BER performance.
Do Innovations Really Pay Off? Total Stock Market Returns to Innovation
Authors: Ashish Sood, Gerard J. Tellis
Venue: Marketing Science (2009)

Critics often decry an earnings-focused short-term orientation of management that eschews spending on risky, long-term projects such as innovation to boost a firm's stock price. Such critics assume that stock markets react positively to announcements of immediate earnings but negatively to announcements of investments in innovation that have an uncertain long-term pay off. Contrary to this position, we argue that the market's true appreciation of innovation can be estimated by assessing the total market returns to the entire innovation project. We demonstrate this approach via the Fama-French 3-factor model (including Carhart's momentum factor) on 5,481 announcements from 69 firms in five markets and 19 technologies between 1977 and 2006. The total market returns to an innovation project are $643 million, more than 13 times the $49 million from an average innovation event. Returns to negative events are higher in absolute value than those to positive events. Returns to initiation occur 4.7 years ahead of launch. Returns to development activities are the highest and those to commercialization the lowest of all activities. Returns to new product launch are the lowest among all eight events tracked. Returns are higher for smaller firms than larger firms. Returns to the announcing firm are substantially greater than those to competitors across all stages. We discuss the implications of these results.
IT policyThe long road to Computer Science education reform
Authors: Cameron Wilson, Peter Harsha
Venue: Communications of the ACM (2009)

Viewing the factors impeding improvements to CS education from kindergarten through grade 12 from a policy perspective.
Factoring univariate polynomials over the rationals
Authors: Mark Van Hoeij
Venue:  (2008)

This thesis presents an algorithm for factoring polynomials over the rationals which follows the approach of the van Hoeij algorithm. The key theoretical novelty in our approach is that it is set up in a way that will make it possible to prove a new complexity result for this algorithm which was actually observed on prior algorithms. One difference of this algorithm from prior algorithms is the practical improvement which we call early termination. Our algorithm should outperform prior algorithms in many common classes of polynomials (including irreducibles).