ppxscal/embedding_network huggingface dataset:
Multigrid Methods: Managing Massive Meshes
Authors: Dianne P. O'Leary
Venue: Computing in Science and Engineering (2006)

In our last homework assignment, we investigated iterative methods for solving large, sparse, linear systems of equations. We saw that the Gauss-Seidel (GS) method was intolerably slow, but various forms of preconditioned conjugate gradient (CG) algorithms gave us reasonable results. The test problems we used were discretizations of elliptic partial differential equations, but for these problems, we can use a faster class of methods called multigrid algorithms.
A Specific ATPG technique for Resistive Open with Sequence Recursive Dependency
Authors: M. Renovell, M. Comte, I. Polian, P. Engelke, B. Becker
Venue: Proceedings of the 15th Asian Test Symposium (2006)

This paper analyzes the electrical behaviour of resistive opens as a function of their unpredictable resistance. It is demonstrated that the electrical behaviour depends on the value of the open resistance. It is also shown that detection of the open by a given vector Ti recursively depends on all the vectors that have been applied to the circuit before Ti. An electrical analysis of this recursive effect is presented and a specific ATPG strategy is proposed.
A Semantic Topic Identification System for Document Retrieval on the Web
Authors: Pasquale Capasso, Carmine Cesarano, Antonio Picariello, Lucio Sansone
Venue: Proceedings of the Seventh International Conference on Web-Age Information Management Workshops (2006)

Effective search and retrieval are fundamental for realizing the full potential of the Web. Although nowadays search engines perform much better than few years ago, big improvements are still needed with respect to the relevance of the retrieved documents to the user's query and the presentation of the results. In this paper we present the prototype of a News retrieval system which exploits Wordnet's semantics in identifying the topic of retrieved documents and ranking them according to their relevance to the query. Also the system provides a short summary of each document, helping the user in browsing the result collection.
A Study of Community Care Platform Architecture
Authors: Ying-Hsu Chen, Shu-Ling Hsiao, Yu-Chia Hsu
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Community care provides seamless help for elders, and it covers many organizations, such as hospitals, day care centers, nursing homes, residences, etc. However, theses organizations lack of inteoperability due to the difference of information technology adoption. The nursing home often accepts chronic disease elders, but the quality of care is insufficient to satisfy them, since it always provides basic life care and pays no attention to how information technology can help. In this study, we will focus on insitutional care. By exploring some classic topics in developing computer-based system based on interviews with typical health care institutions, we find some potential for IT in institutional care. We propose a Community Care Platform Architecture to integrate the care institution and large-scale hospital, and expect it can help to form a complete community care regime and to improve the quality of care.
Development of a Multi-Agent System for Travel Industry Support
Authors: Bala M. Balachandran, Majigsuren Enkhsaikhan
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Multi-agent systems (MAS) are collections of autonomous intelligent entities that collaborate in the joint resolution of a complex problem. In this paper we argue that MAS are well suited to tackle travel industry problems, and propose a multi-agent architecture for the travel support system. Our paper explores some of the methodologies for multi-agent systems development and examines an open source Java toolkit called, JADE for building a multi-agent system for travel industry support.
The Fourier transform method and the SD approach for the analytical and numerical treatment of multicenter overlap-like quantum similarity integrals
Authors: Hassan Safouhi, Lilian Berlu
Venue: Journal of Computational Physics (2006)

Molecular overlap-like quantum similarity measurements imply the evaluation of overlap integrals of two molecular electronic densities related by Dirac delta function. When the electronic densities are expanded over atomic orbitals using the usual LCAO-MO approach (linear combination of atomic orbitals), overlap-like quantum similarity integrals could be expressed in terms of four-center overlap integrals.It is shown that by introducing the Fourier transform of delta Dirac function in the integrals and using the Fourier transform approach combined with the so-called B functions, one can obtain analytic expressions of the integrals under consideration. These analytic expressions involve highly oscillatory semi-infinite spherical Bessel functions, which are the principal source of severe numerical and computational difficulties.In this work, we present a highly efficient algorithm for a fast and accurate numerical evaluation of these multicenter overlap-like quantum similarity integrals over Slater type functions. This algorithm is based on the SD- approach due to Safouhi. Recurrence formulae are used for a better control of the degree of accuracy and for a better stability of the algorithm. The numerical result section shows the efficiency of our algorithm, compared with the alternatives using the one-center two-range expansion method, which led to very complicated analytic expressions, the epsilon algorithm and the nonlinear D- transformation.
An integrated approach to the development of wireless network protocols
Authors: David Lapsley, Marcos Bergamo
Venue: Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation characterization (2006)

BBN Technologies (BBN), under complementary tasks for NASA, designed the High-Throughput Distributed Space-craft Network (HiDSN), developed a laboratory prototype network testbed and, currently, is integrating support for virtual-private-networks (VPN) over such a testbed (SpaceVPN). The ultimate goal of this work is to demonstrate the use and the performance of standard-based IPSec VPNs for secure ground-experimenter access to emulated low-earth orbit sensor satellites in which ground-space-sensor connectivity is achieved using the multi-hop routed space links of HiDSN. As part of this work, BBN has developed and refined an integrated approach to the development of Space-based Radio Protocols. This approach consists of high level quasi-analytic modeling using Mathematica, the use of "Active" Mathematica-based protocol specifications that document and simulate protocols, and the use of Software Defined Radio techniques for software proto-typing, Radio Frequency link emulation and testbed implementation. This paper describes the overall approach used to develop HiDSN for NASA and describes each of the component techniques.
Optimal databased complex demodulation for evolutionary spectra
Authors: K. S. Riedel, A. Sidorenko
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

Complex demodulation of coherent signals in a red noise background is formulated as a kernel smoother in a mixed time-frequency representation. Expected error criteria are used to determine the optimal kernel halfwidth. The authors initially estimate mod delta /sub t//sup 2/A mod /sup 2/ using a higher order kernel smoother with a larger halfwidth to construct a data-adaptive estimate of the evolving amplitude. To estimate the evolving frequency delta /sub t/ phi /sub l/(t), they use a halfwidth corresponding to first derivative estimation.
A proposal for the reengineering of the educational system
Authors: Luis Osin, Alan Lesgold
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

We propose a reengineering of the educational system that focuses on mastery and on more substantial learning activities and eliminates the constraints on learning that arise from current insistence on grouping children by age. Our basic argument is that elirninating the age-based approach to education has striking advantages that outweigh any social disadvantage. The most powerful reason is the extremely large variance found in any index of learning achievement, even in relatively homogeneous populations. We further argue that modern information systems allow richer educational activities, research-based methods, and multiage schooling to proceed efficiently and effectively. This creates a moral imperative to provide real learning opportunities to the whole of the student population.
Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method
Authors: B. S. U. Mendis, T. D. Gedeon, L. T. Koczy
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

We previously introduced the generalized Weighted Relevance Aggregation Operators (WRAO) for hierarchical fuzzy signatures. WRAO enhances the ability of the fuzzy signature model to adapt to different applications and simplifies the learning of fuzzy signature models from data. In this paper we overcome the practical issues which occur when learning WRAO from data. This paper discuss an algorithm for learning WRAO using the Levenberg- Marquardt (LM) method, which is one of the most sophisticated and widely used gradient based optimization method. Also, this paper shows the successful results of applying the proposed algorithm to extract WRAO for two real world problems namely High Salary Selection and SARS Patient Classification.
Efficient Motion Estimation Using a Sorting-Based Early Termination Algorithm in H.264 Video Coding
Authors: Chou-Chen Wang, Jung-Yang Kao, Yu-Kai Lin
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

The H.264/AVC video coding standard uses 7 variable block sizes ranging from 16×16 to 4×4 in interframe coding. The motion estimation with 7 modes needs very high computational complexity. To reduce the complexity of ME module in H.264, we propose a new and fast motion-estimation algorithm based on partial block distortion for sorted significant features including bit-plane and absolute difference of means (ADM). The partial distortion searching (PDS) algorithm, from top-to-bottom line matching scan, is a popular method for fast full search (FSS) in H.264. When the proposed algorithm is combined with the sub-block PDS (proposed-PDS), it can find the same motion vectors as FSS. Furthermore, when the proposed algorithm is combined with the normalized PDS (proposed-NPDS), it can obtain relatively accurate motion vectors with a large reduced computational load. Simulation results show that the proposed-PDS method requires about 90% of the computation needed by the FSS in H.264 without any loss of R-D performance, and the proposed-NPDS requires only about 68% of the computation needed by the FSS with the R-D performance very close to FFS.
A role for professional development in sustainability: linking the written curriculum to enactment
Authors: Beth Kubitskey, Barry J. Fishman
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Learning Sciences researchers have a tradition of developing inquiry-oriented and technology-rich curriculum materials, often in the context of design-based research on learning. But what becomes of the materials developed after the research is completed? A key challenge for the Learning Sciences is to address the issue of sustainability for the materials we develop. Professional development (PD) can help teachers make adaptations to the written curriculum while maintaining its integrity. We examine empirical data from a study of PD in the context of inquiry-oriented curricular reform to show how PD aligned with written curriculum and informed by enacted curriculum can influence teachers' practice in ways that are consistent with the goals of the curriculum designers. We conclude with a model for PD design informed both by the written and enacted curriculum to facilitate teacher planning that allows for adaptations that maintain fidelity to the curriculum design.
Prefrontal Activity and Diagnostic Monitoring of Memory Retrieval: fMRI of the Criterial Recollection Task
Authors: David A. Gallo, Elizabeth A. Kensinger, Daniel L. Schacter
Venue: Journal of Cognitive Neuroscience (2006)

According to the distinctiveness heuristic, subjects rely more on detailed recollections (and less on familiarity) when memory is tested for pictures relative to words, leading to reduced false recognition. If so, then neural regions that have been implicated in effortful postretrieval monitoring (e.g., dorsolateral prefrontal cortex) might be recruited less heavily when trying to remember pictures. We tested this prediction with the criterial recollection task. Subjects studied black words, paired with either the same word in red font or a corresponding colored picture. Red words were repeated at study to equate recognition hits for red words and pictures. During fMRI scanning, alternating red word memory tests and picture memory tests were given, using only white words as test stimuli (say "yes" only if you recollect a corresponding red word or picture, respectively). These tests were designed so that subjects had to rely on memory for the criterial information. Replicating prior behavioral work, we found enhanced rejection of lures on the picture test compared to the red word test, indicating that subjects had used a distinctiveness heuristic. Critically, dorsolateral prefrontal activity was reduced when rejecting familiar lures on the picture test, relative to the red word test. These findings indicate that reducing false recognition via the distinctiveness heuristic is not heavily dependent on frontally mediated postretrieval monitoring processes.
Stochastic Differential Portfolio Games with Regime Switching Model
Authors: Shuping Wan
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

Stochastic dynamic investment games with regime switching model in continuous time between two investors are developed. The market coefficients are modulated by continuous-time Markov chain. There is a single payoff function which depends on both investors' wealth processes. One player chooses a dynamic portfolio strategy in order to maximize this expected payoff, while his opponent is simultaneously choosing a dynamic portfolio strategy so as to minimize the same quantity. A general result in optimal control for a stochastic differential game with a general payoff function is presented under some regular conditions. Use this general result to utility-based games of fixed duration, the optimal strategies and value of the games are derived explicitly.
Estimating p-values in small microarray experiments
Authors: Hyuna Yang, Gary Churchill
Venue: Bioinformatics (2007)

Motivation: Microarray data typically have small numbers of observations per gene, which can result in low power for statistical tests. Test statistics that borrow information from data across all of the genes can improve power, but these statistics have non-standard distributions, and their significance must be assessed using permutation analysis. When sample sizes are small, the number of distinct permutations can be severely limited, and pooling the permutation-derived test statistics across all genes has been proposed. However, the null distribution of the test statistics under permutation is not the same for equally and differentially expressed genes. This can have a negative impact on both p-value estimation and the power of information borrowing statistics. Results: We investigate permutation based methods for estimating p-values. One of methods that uses pooling from a selected subset of the data are shown to have the correct type I error rate and to provide accurate estimates of the false discovery rate (FDR). We provide guidelines to select an appropriate subset. We also demonstrate that information borrowing statistics have substantially increased power compared to the t-test in small experiments. Contact: garyc@jax.org Supplementary information: Supplementary data are available at Bioinformatics online.
Container Chassis Alignment and Measurement Based on Vision for Loading and Unloading Containers Automatically
Authors: Dongyoon Park, Sojung Park, Sungmin Byun, Sunghoon Jung, Minhwan Kim
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

A vision-based chassis alignment and measurement system (CAMS) is proposed in this paper, which can be applied to loading (unloading) containers to (from) the chassis of external trucks automatically at yard stack area working in side-feeding manner. A vision system is designed to guide and align a chassis to a preset transfer area on floor of yard, which can be also used for measuring the position of the chassis. The vision system consists of seven cameras carefully calibrated and it is implemented on floor of yard to be able to work independently of an automated transfer crane. The CAMS can deal with a chassis with a 40/20 feet container as well as an empty chassis. Through experiments in a 14:1 scaled environment, we found that the CAMS could guide and align a chassis in real time and measure the position of the chassis within a permissible error.
Interactive Workflows in a Virtual Laboratory for e-Bioscience: The SigWin-Detector Tool for Gene Expression Analysis
Authors: Marcia A. Inda, Adam S. Z. Belloum, Marco Roos, Dmitry Vasunin, Cees de Laat, L. O. Hertzberger, Timo M. Breit
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

Explorative research is a vital part of biological sciences. Biologists frequently have to examine and compare multiple (large) sets of biological data in an interactive and explorative manner. Exploring alternative ways of examining the data and managing the necessary resources often require substantial (manual) effort and time. In this paper, we present a concrete example of how VLAM, a grid-based workflow management system, can enhance experimentation. We discuss in detail the process of developing the SigWin-detector, an application in the domain of bioinformatics. We show that SigWin-detector can promptly identify regions of increased gene expression in transcriptome maps and periodicity in weather data. We also show that the workflow can be extended or partially modified. The individual modules can also be used to compose different experiments. SigWin-detector fulfills the requirements of interactive and explorative experimentation.
Investigation of the block ACK scheme in wireless ad hoc networks: Research Articles
Authors: Tianji Li, Qiang Ni, Yang Xiao
Venue: Wireless Communications Mobile Computing (2006)

A Block Transmission and Acknowledgement (BTA) scheme, also called Block ACK, has been proposed in the IEEE 802.11e wireless local area networks (WLAN) specification to improve efficiency of the medium access control layer. The idea of the BTA scheme is to transmit multiple data frames followed by only one acknowledgement frame in a transmission block. In this paper, we present a theoretical model to evaluate the saturation throughput for the BTA scheme under error channel conditions in the ad hoc mode, validated with simulations. We show some advantages of BTA over the legacy MAC, and analyze how to select a proper number of frames for each transmission block. Results show that BTA is particularly effective in very high-speed wireless networks, and it is important that the number of frames in each block is negotiated before transmissions to provide better efficiency. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Processing of Multiple Long-Running Queries in LargeScale Geo-Data Repositories
Authors: Wee Hyong Tok, Stephane Bressan
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

One of the main challenges of large-scale information mediation and warehousing is the efficient and resourceeffective processing of continuous queries. Continuous queries monitor streams of incoming data and produce results on-the-fly. They are usually long-running, yet need to be removed from the system when they become obsolete. We present a framework and the corresponding algorithms and data-structures for the efficient evaluation of multiple longrunning spatial queries over unbounded streams of spatial data and the management of obsolete queries. Using both real-life and synthetic datasets and workloads, we show that our proposed approach achieves significant improvements over standard approaches.
Concurrent caching
Authors: Jay Nelson
Venue: Proceedings of the 2006 ACM SIGPLAN workshop on Erlang (2006)

A concurrent cache design is presented which allows cached data to be spread across a cluster of computers. The implementation separates persistent storage from cache storage and abstracts the cache behaviour so that the user can experiment with cache size and replacement policy to optimize performance for a given system, even if the production data store is not available. Using processes to implement cached objects allows for runtime configurability and adaptive use policies as well as parallelization to optimize resource access efficiency.
An Ontology-based Approach to the Formalization of Information Security Policies
Authors: Fernando Naufel do Amaral, Carlos Bazilio, Geiza Maria Hamazaki da Silva, Alexandre Rademaker, Edward Hermann Haeusler
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

We present the structure of an ontology for Information Security (IS) and discuss a paradigm whereby it can be used to extract knowledge from natural language texts such as IS standards, security policies and security control descriptions. Besides providing a vocabulary for the IS domain, the proposed ontology stores logical forms corresponding to statements in the text, as well as a set of axioms used for inference in description logic (DL). We also describe a tool to provide automatic support for the formalization process.
A Multi-Agent Approach to Social Human Behaviour in Children's Play
Authors: Frodi Hammer, Alireza Derakhshan, Yves Demazeau, Henrik Hautop Lund
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children's play. The children, the dynamics of their play, and the playground are modelled into a MAS following the VOWELS [2] paradigm; thus, modelling the children as the agents, the playground as the environment, and the dynamics of their play as the interactions and organization. Utilizing the Playware playground [8, 9] as the environment, an interface to the environment can be defined, which allows us to formally model the children and the dynamics of their play (i.e. their individual and social behaviour) as populations and organizations in accordance with the PopOrg [3] paradigm. The MAS model has been used to design an artificial neural network (ANN) architecture capable of classifying social behaviours within appropriate categories. Experiments with children have been performed, and data recorded from the Playware playground during the experiments has been used to train the ANN. The ANN has been validated according to an external observer to correctly classify 70% of the social behaviours observed during the experiments.
An Expression of Gratitude
Authors: Doris L. Carver
Venue: Computer (2006)

Doris L. Carver reflects on her four-year tenure as Computer's EIC.