ppxscal/embedding_network huggingface dataset:
An integral equation method for epitaxial step-flow growth simulations
Authors: Jingfang Huang, Ming-Chih Lai, Yang Xiang
Venue: Journal of Computational Physics (2006)

In this paper, we describe an integral equation approach for simulating diffusion problems with moving interfaces. The solutions are represented as moving layer potentials where the unknowns are only defined on the interfaces. The resulting integro-differential equation (IDE) system is solved using spectral deferred correction (SDC) techniques developed for general differential algebraic equations (DAEs), and the time dependent potentials are evaluated efficiently using fast convolution algorithms. The numerical solver is applied to the BCF model for the epitaxial step-flow growth of crystals, for which the solutions are calculated accurately instead of using quasi-static approximations. Numerical results in 1 + 1 dimensions are compared with available results in the literature.
Using technology to foster cultural awareness among children
Authors: Eric S. Cohen
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

A pro bono group in New York City, Virtuous Reality Interactive, Inc. (VRI), was contacted by a group of Lakotas to help the Native Americans develop a system that kids could use to learn about their culture. Lakota culture is traditionally oral, and as fewer adults maintain a connection to it, there is a fear of the culture being lost. It was believed that technology could be used to preserve key elements of it, as well as to provide a learning tool that children could use to experience their history. 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
On the k-error linear complexity over $$\mathbb{F}_p$$ of Legendre and Sidelnikov sequences
Authors: Hassan Aly, Arne Winterhof
Venue: Designs, Codes and Cryptography (2006)

We determine exact values for the k-error linear complexity L k over the finite field $$\mathbb{F}_{p}$$ of the Legendre sequence $$\mathcal{L}$$ of period p and the Sidelnikov sequence $$\mathcal{T}$$ of period p m ¿ 1. The results are $$ L_k(\mathcal{L}) =\left\{\begin{array}{ll} (p+1)/2, \quad 1 \le k \le (p-3)/2,\\ 0, \quad k\ge (p-1)/2, \end{array}\right.$$ $$L_k(\mathcal{T})\ge \min \left( \left( \frac{p+1}{2} \right)^{m}-1, \left \lceil \frac{p^m-1}{k+1} \right \rceil - \left(\frac{p+1}{2} \right)^{m} + 1 \right)$$ for 1 ¿ k ¿ (p m ¿ 3)/2 and $$L_k(\mathcal{T}) = 0$$ for k¿ (p m ¿ 1)/2. In particular, we prove $$L_k(\mathcal{T}) = \left(\frac{p+1}{2} \right)^{m}-1,\quad 1\le k\le \frac{1}{2}\left(\frac{3}{2}\right)^{m}-1.$$
Endowing a Virtual Character with Personalization Capabilities
Authors: Eliseo Reategui, Elisa Boff, John A. Campbell
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

This paper describes a virtual character placed in an educational environment with the purpose of motivating and involving students in the activities proposed. The character can communicate with users in naturallanguage; it can learn students' profiles and use this knowledge to recommend appropriate contents and activities. Three main elements compose the character's architecture: an AIML-based mechanism, which endows the character with its communication abilities; a profile management system, which collects and organizes students information; and a recommender system, which uses the student's profiles and behavioral patterns to make content recommendations. The character was placed in an educational environment and used in an experiment with 53 computer science students. The results of the experiment are presented here, as well as conclusions and directions for future work.
System centric mission critical simulation model for MES automation
Authors: Amit Jindal, Rajkumar Khandelwal
Venue: Proceedings of the 37th conference on Winter simulation (2005)

This paper describes the system centric simulation methodology used for stress testing of Manufacturing Execution System (MES) in Intel. System centric simulation involves testing such that the system components (infrastructure stack and software) are characterized for the load they would experience in production, irrespective of how that load is exerted. A new manufacturing execution system software is introduced in Intel's latest fabrication facility. Validation of the product under stress is vital to ensuring that the mission critical capability will be able to comply with Intel's reliability, availability, performance, and scalability needs. The System centric simulation model allows for accurate reproduction of real-world scenarios while not requiring the expensive setup and execution of the complete set of defined use cases.
The Emotional Modulation of Cognitive Processing: An fMRI Study
Authors: Joseph R. Simpson, Dost &OUML;ngür, Erbil Akbudak, Thomas E. Conturo, John M. Ollinger, Abraham Z. Snyder, Debra A. Gusnard, Marcus E. Raichle
Venue: Journal of Cognitive Neuroscience (2000)

The functional neuroanatomy of visual processing of surface features of emotionally valenced pictorial stimuli was examined in normal human subjects using functional magnetic resonance imaging (fMRI). Pictorial stimuli were of two types: emotionally negative and neutral pictures. Task performance was slower for the negatively valenced than for the neutral pictures. Significant blood oxygen level dependent (BOLD) increases occurred in the medial and dorsolateral prefrontal cortex, midbrain, substantia innominata, and/or amygdala, and in the posterior cortical visual areas for both stimulus types. Increases were greater for the negatively valenced stimuli. While there was a small but significant BOLD decrease in the subgenual prefrontal cortex, which was larger in response to the negatively valenced pictures, there was an almost complete absence of other decreases prominently seen during the performance of demanding cognitive tasks [Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997). Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. Journal of Cognitive Neuroscience, 9, 648-663]. These results provide evidence that the emotional valence and arousing nature of stimuli used during the performance of an attention-demanding cognitive task are reflected in discernable, quantitative changes in the functional anatomy associated with task performance.
Classification features for attack detection in collaborative recommender systems
Authors: Robin Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in recommendations that favor or disfavor given items. Since collaborative recommender systems must be open to user input, it is difficult to design a system that cannot be so attacked. Researchers studying robust recommendation have therefore begun to identify types of attacks and study mechanisms for recognizing and defeating them. In this paper, we propose and study different attributes derived from user profiles for their utility in attack detection. We show that a machine learning classification approach that includes attributes derived from attack models is more successful than more generalized detection algorithms previously studied.
Introducing simulation across the disciplines
Authors: Charles R. Standridge, Martha A. Centeno, Björn Johansson, Ingolf Ståhl
Venue: Proceedings of the 37th conference on Winter simulation (2005)

How to introduce simulation is a fundamental educational issue in a variety of disciplines including industrial engineering and operations management as well as product design and manufacturing. This panel will discuss, compare, and contrast various perspectives and experiences concerning introducing simulation to undergraduate and graduate students. Topics considered by the panel include the fundamental purposes of a first simulation course, modeling and analysis assignments that are given, examination topics, laboratory content, and term project experiences.
Lensless Imaging with a Controllable Aperture
Authors: Assaf Zomet, Shree K. Nayar
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (2006)

In this paper we propose a novel, highly flexible camera. The camera consists of an image detector and a special aperture, but no lens. The aperture is a set of parallel light attenuating layers whose transmittances are controllable in space and time. By applying different transmittance patterns to this aperture, it is possible to modulate the incoming light in useful ways and capture images that are impossible to capture with conventional lens-based cameras. For example, the camera can pan and tilt its field of view without the use of any moving parts. It can also capture disjoint regions of interest in the scene without having to capture the regions in between them. In addition, the camera can be used as a computational sensor, where the detector measures the end result of computations performed by the attenuating layers on the scene radiance values. These and other imaging functionalities can be implemented with the same physical camera and the functionalities can be switched from one video frame to the next via software. We have built a prototype camera based on this approach using a bare image detector and a liquid crystal modulator for the aperture. We discuss in detail the merits and limitations of lensless imaging using controllable apertures.
Stochastic modeling and quality evaluation of component-based software systems
Authors: Yunni Xia, Hanpin Wan, Yu Huang, Chunxiang Xu
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

This paper proposes a novel analytical framework to evaluate the quality of component-based software systems. This approach uses CEG graph (which is capable of modeling sequential, parallel, selective and iterative composition patterns) to model the execution process of component-based software system. Based on a homogeneous continuous-time Markovian process, analytical methods to evaluate the make-span, cost and reliability of CEG (the graph of component execution) are developed. Through a case study, we show that our framework is capable of modeling real-world component-based software systems. Also, the comparison between analytical and Monte-carlo simulative results indicates that our analytical model is consistent with simulation. The paper concludes with a comparison with related work
Decentralized Electronic Mail
Authors: Sivan Bercovici, Idit Keidar, Ayellet Tal
Venue: Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems (2006)

E-mail is one of the most popular Internet applications. Unfortunately, the server-centric architecture of today's commercial solutions inherently limits availability, efficiency, and scalability. The single point of failure as well as the increasing processing and storage stress on the server drives the 35 year old architecture to the limits of its abilities. This paper proposes decentralized electronic mail (DEM), a novel e-mail architecture that overcomes existing systems' shortcomings. Following the mobile-object paradigm, DEM offers a decentralized approach, which breaks the dependency between a mail user and a single service provider, while relying entirely on participants' resources.
Leveraging agent based simulation for rapid course of action development
Authors: Philip S. Barry, Matthew T. K. Koehler
Venue: Proceedings of the 37th conference on Winter simulation (2005)

In the spring of 2005 a limited objective experiment was carried out to assess the feasibility of using agent based simulations to enhance co-evolutionary course of action development. In particular, relatively low fidelity simulations were employed to visualize the results of particular courses of action. Over four days multiple courses of action were developed by two opposing teams with similar force structures and then run against one another in an agent based modeling environment to test their ability to achieve the given mission. The results of the experiment indicate that there is significant potential for low fidelity simulations to stimulate objective thinking in course of action development.
PML termination of conducting media in the finite difference time domain method for bodies of revolution (BORs): Research Articles
Authors: José Carrión, Nader Farahat
Venue: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields (2007)

In this paper we discuss the use of perfectly matched layers (PMLs) for the termination of conducting media in the body of revolution finite difference time domain (BOR&ndash;FDTD) algorithm. This type of termination enables us, to accurately and efficiently model long conductors possessing rotational symmetry. The formulation is validated by investigating the propagation characteristics of two practical guiding wave structures, viz., a coaxial cable (RG-142) and a circular waveguide operating in the TE11 mode. Both the conductors as well as dielectrics are extended into the PML region in order to simulate infinitely long guides. Copyright &copy; 2006 John Wiley & Sons, Ltd.
An Agent-based Method and Tool to add Collaborative Capabilities Based on Standalone CAD Systems for Grid Computing Environment
Authors: Bin Liao, Xunyong Pan
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

The importance of collaboration to typical grid computing applications is becoming widely recognized. This paper explores how to add collaborative capabilities to standalone CAD applications in grid computing environment. The method uses internal encapsulation and external encapsulation to wrapper legacy standalone CAD applications. The basic issues for collaborative applications, such as consistency maintenance, group awareness and data management, are discussed. The proposed method is implemented with case study of prototype tools to integrate both homogeneous and heterogeneous standalone CAD applications for collaborative applications.
A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment
Authors: Hoong Chuin Lau, Ramesh Thangarajoo, Kien Ming Ng
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

In this paper, we describe an interesting driver assignment problem that is computationally intensive to solve due to its combinatorial nature. A hybrid approach involoving mixed integer programming (MIP) and a heuristic is used to give good solutions to the problem within reasonable computation time. This approach attempts to utilize the strengths of MIP to search for an optimal solution, while letting the heuristic component address the complexity involved in the driver assignment problem so as to improve the time required to obtain a solution. Computational results are used to illustrate the performance of the approach.
Accessing embedded program in untestable mobile environment: experience of a trustworthiness approach
Authors: Karl R. P. H. Leung, Joseph K.-Y. Ng, W. L. Yeung
Venue: Journal of Systems and Software (2006)

Comparing actual output with the expected output of some controlled input is a fundamental principle of program correctness testing. However, in some situations, the input is uncontrollable or even undetectable during testing, it is impossible to decide the expected output or the test oracle. Or in some situations, the output may be indeterministic or unpredictable, hence it is impossible to compare the output with the expected one. We encountered these problems and could not conduct normal program testing when we developed programs to extract network data from various mobile stations in the Mobile Location Estimation System project. Instead we analyzed the program output and challenge it against the intrinsic properties, the environment, the program itself, and the application results to find evidence that the output is suitable to be used for the planned purposes. In short, we accessed the trustworthiness of the programs. In the development of our mobile software, it was common that different programs of the same specification had to be developed for mobile stations of different models. These different implementations provided another source of reference for trustworthiness assessment. Our experience of applying the trustworthiness approach to developing software for extracting network data from mobile stations is reported in this paper.
A Gaming Fuzzy QoS Multicast Routing Scheme in NGI
Authors: Xingwei Wang, Qi Wang, Min Huang
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

In this paper, a game theory based fuzzy QoS multicast routing scheme is proposed and has been implemented by simulation. It consists of three parts: edge evaluation, game analysis, and multicast tree construction. It does comprehensive evaluation on candidate edges based on adaptability membership degree functions for edge parameters, determines whether Nash equilibrium between network provider utility and user utility has been achieved on candidate edges by gaming analysis, and attempts to construct a multicast routing tree with not only user QoS requirements satisfied but also Pareto optimum under Nash equilibrium on network provider utility and user utility achieved or approached by the proposed algorithm. Simulation results have shown that the proposed scheme is efffective.
Data Access Service in a Computational Grid Platform Applied to the Monitoring and Control of Epidemics on Georeferenced Dynamic Maps
Authors: Virgilio Cavicchioli Neto, Henrique Fabricio Gagliardi, Alexandre Rezende, Erick Sobreiro Goncalves, Eduardo Gallo, Fabricio Alves Barbosa Silva, Ivan Torres Pisa, Domingos Alves
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

This paper presents a service related to epidemiologic monitoring providing a database of maps, synthetics graphs, and spatial-temporal information of a particular disease enriched with demographic data and urban georeferenced structure. The proposed service is to be used for Brazilian health agencies and the involved metropolitan authorities which will assist the health officers in the decision making process related to the epidemics monitoring and control. The development of the system and all its levels of integration bring some difficulties of syntactic, semantic, and performance order that we solve using a computational grid platform.
The Data Mapping Problem: Algorithmic and Logical Characterizations
Authors: George H. L. Fletcher
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

Technologies for overcoming heterogeneities between autonomous data sources are key in the emerging networked world. Our doctoral research investigates technologies for alleviating structural heterogeneity between relational data sources. At the heart of structural heterogeneity is the data mapping problem. The data mapping problem is to discover effective mappings between structured data sources. These mappings are the basic "glue" for facilitating large-scale ad-hoc information sharing between autonomous peers in a dynamic environment. Automating their discovery is one of the fundamental unsolved challenges for data interoperability. Our research on solutions to the data mapping problem has two main components: (1) a general algorithmic approach to automating the discovery of mappings and (2) a general formal approach to understanding the data mapping problem. We outline our progress on each of these fronts and discuss directions for future research.
A neighborhood-based enhancement of the Gauss-Newton Bayesian regularization training method
Authors: Miguel Pinzolas, Ana Toledo, Juan Luís Pedreño
Venue: Neural Computation (2006)

This work develops and tests a neighborhood-based approach to the Gauss-Newton Bayesian regularization training method for feedforward backpropagation networks. The proposed method improves the training efficiency, significantly reducing requirements on memory and computational time while maintaining the good generalization feature of the original algorithm. This version of the Gauss-Newton Bayesian regularization greatly expands the scope of application of the original method, as it allows training networks up to 100 times larger without losing performance.
Detecting Text in Videos Using Fuzzy Clustering Ensembles
Authors: Julinda Gllavata, Ermir Qeli, Bernd Freisleben
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

Detection and localization of text in videos is an im- portant task towards enabling automatic content-based retrieval of digital video databases. However, since text is often displayed against a complex background, its de- tection is a challenging problem. In this paper, a novel approach based on fuzzy cluster ensemble techniques to solve this problem is presented. The advantage of this approach is that the fuzzy clustering ensemble allows the incremental inclusion of temporal information re- garding the appearance of static text in videos. Com- parative experimental results for a test set of 10.92 minutes of video sequences have shown the very good performance of the proposed approach with an overall recall of 92.04% and a precision of 96.71%.
A Noninvasive Auto-Estimation System for Hemodynamic Parameters of Pulmonary Circulation
Authors: Yu Ma, Yuanyuan Wang, Xiaodong Cai, Weiqi Wang, Yuqi Zhang, Shubao Chen
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Hemodynamic parameters of the pulmonary circulation are important reference factors in the diagnoses and treatments of children's cardiovascular diseases. These parameters are usually measured by the cardiac catheterization. Recently several noninvasive methods have been proposed to estimate these parameters using the ultrasound technique. In order to execute the noninvasive estimation automatically, several signal and image processing algorithms are applied to obtain the feature points of the Doppler spectrogram and ECG signal, from which hemodynamic parameters can be calculated based on empirical formulas. To combine all the processes and simplify the manipulation, a computer-based system is designed and tested for sixty children with congenital heart diseases. Experimental results show that parameters estimated using this system highly correlate to the clinic ones measured by the cardiac catheterization. For its noninvasive and automatic advantage, this system may be used as an assistant tool in the diagnoses and treatments of children's cardiovascular diseases.