ppxscal/embedding_network huggingface dataset:
Distinguishing Difficulty Levels with Non-invasive Brain Activity Measurements
Authors: Audrey Girouard, Erin Treacy Solovey, Leanne M. Hirshfield, Krysta Chauncey, Angelo Sassaroli, Sergio Fantini, Robert J. Jacob
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Passive brain-computer interfaces are designed to use brain activity as an additional input, allowing the adaptation of the interface in real time according to the user's mental state. The goal of the present study is to distinguish between different levels of game difficulty using non-invasive brain activity measurement with functional near-infrared spectroscopy (fNIRS). The study is designed to lead to adaptive interfaces that respond to the user's brain activity in real time. Nine subjects played two levels of the game Pacman while their brain activity was measured using fNIRS. Statistical analysis and machine learning classification results show that we can discriminate well between subjects playing or resting, and distinguish between the two levels of difficulty with some success. In contrast to most previous fNIRS studies which only distinguish brain activity from rest, we attempt to tell apart two levels of brain activity, and our results show potential for using fNIRS in an adaptive game or user interface.
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications
Authors: George Danezis, Carmela Troncoso
Venue: Proceedings of the 9th International Symposium on Privacy Enhancing Technologies (2009)

We present the Vida family of abstractions of anonymous communication systems, model them probabilistically and apply Bayesian inference to extract patterns of communications and user profiles. The first is a very generic Vida Black-box model that can be used to analyse information about all users in a system simultaneously, while the second is a simpler Vida Red-Blue model, that is very efficient when used to gain information about particular target senders and receivers. We evaluate the Red-Blue model to find that it is competitive with other established long-term traffic analysis attacks, while additionally providing reliable error estimates, and being more flexible and expressive.
Optimized Stencil Computation Using In-Place Calculation on Modern Multicore Systems
Authors: Werner Augustin, Vincent Heuveline, Jan-Philipp Weiss
Venue: Proceedings of the 15th International Euro-Par Conference on Parallel Processing (2009)

Numerical algorithms on parallel systems built upon modern multicore processors are facing two challenging obstacles that keep realistic applications from reaching the theoretically available compute performance. First, the parallelization on several system levels has to be exploited to the full extent. Second, provision of data to the compute cores needs to be adapted to the constraints of a hardware-controlled nested cache hierarchy with shared resources.In this paper we analyze dedicated optimization techniques on modern multicore systems for stencil kernels on regular three-dimensional grids. We combine various methods like a compressed grid algorithm with finite shifts in each time step and loop skewing into an optimized parallel in-place stencil implementation of the three-dimensional Laplacian operator. In that context, memory requirements are reduced by a factor of approximately two while considerable performance gains are observed on modern Intel and AMD based multicore systems.
An Evaluation of the Performance of the CHIMERE Model over Spain Using Meteorology from MM5 and WRF Models
Authors: Marta G. Vivanco, Inmaculada Palomino, Fernando Martín, Magdalena Palacios, Oriol Jorba, Pedro Jiménez, José María Baldasano, Oier Azula
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part I (2009)

The presence of high pollution levels in the atmosphere can produce damages to human health and ecosystems. Because of this reason, the prediction of air pollutant concentration is important to prevent any potential damage. Chemistry-transport models constitute a useful tool to quantify the presence of pollutants in the atmosphere. Input information, such as meteorology and emissions, has a strong influence on model results. Many research activities are focused on trying to reduce errors affecting input information. In this paper we have applied the CHIMERE photochemical model to simulate ozone, NO2 and SO2 in Spain for two sets of meteorological fields obtained with the MM5 and WRF meteorological models. An evaluation of the performance of the CHIMERE model for both meteorological data sets is presented. Very similar air pollutant concentrations were found for the three pollutants and for the two sets of meteorological information.
Numerical Simulation on Solidification and Heat-Transfer of Continuous Casting of Thin Slab
Authors: Jingna Gao, Ying Gao, Ge Wang, Lingjun An, Qiang Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The process of solidification of continuous casting of thin slab on Compact Strip Production (CSP) was simulated by finite element method (FEM) and two-dimensional cutting slice method. Simulated results of solidification and heat transfer of the slab were gotten. The temperature distribution of the cooling process on the thin casting slab is agreed with the actual online production. Influence of technologic parameters such as pulling speed, superheat and cooling water quantity on temperature distribution was investigated. Solidified thickness at the outlet of the copper mould becomes shorter, temperature of slab becomes falling slower and liquid pool length extends when the pulling speed or superheat rises. While when the cooling water quantity increases, temperature of slab becomes falling faster, liquid pool length shortens, but solidified thickness at the outlet of the mould is hardly affected.
A System for Search, Access Restriction, and Agents in the Clouds
Authors: Tetsuya Morizumi, Kazuhiro Suzuki, Hirotsugu Kinoshita
Venue: Proceedings of the 2009 Ninth Annual International Symposium on Applications and the Internet (2009)

In the current Internet system, large-scale search sites compile relationships between people and knowledge and accumulate them as resources. Only a few large-scale search sites are able to judge the value of the resources and maintain the data. However, these systems have the possibility of obstructing the peculiar diversity of the contemporary society. Moreover, the existence of the search sites raises a serious threat called covert channels, through which information can be leaked and falsified. In this paper, to solve these two problems, the cloud concept is redefined from a logical point of view as follows: A cloud is semantics where the relations between the Internet resources are described by predicate logic. Also proposed is a model of the agent that controls and manages the clouds by the unit of community in the semantics model. The agent of the proposed model is left in each community. The predicate logic that describes the clouds adopts intuitionistic logic, which can describe the uncertainty of the clouds. This paper expresses the destination at which the communication infrastructure of the Web-based system should aim by a semantics model from the aspect of the clouds, agent, restriction, and information flow control.
Research on the Backup Mechanism of Oracle Database
Authors: Qun Li, Honglin Xu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

On the basis of the current database backup mechanism research, according to requirements of various enterprises. In this paper the mechanisms which contain integrated and reasonable backup methods are presented and implemented. The mechanisms can decrease the risk of losing the meta-data related to enterprise application when database encounters unpredicted problems and also have very little influence on performance and available of oracle database when backup operations are proceeding.
Real-time parallel hashing on the GPU
Authors: Dan A. Alcantara, Andrei Sharf, Fatemeh Abbasinejad, Shubhabrata Sengupta, Michael Mitzenmacher, John D. Owens, Nina Amenta
Venue: ACM Transactions on Graphics (TOG) (2009)

We demonstrate an efficient data-parallel algorithm for building large hash tables of millions of elements in real-time. We consider two parallel algorithms for the construction: a classical sparse perfect hashing approach, and cuckoo hashing, which packs elements densely by allowing an element to be stored in one of multiple possible locations. Our construction is a hybrid approach that uses both algorithms. We measure the construction time, access time, and memory usage of our implementations and demonstrate real-time performance on large datasets: for 5 million key-value pairs, we construct a hash table in 35.7 ms using 1.42 times as much memory as the input data itself, and we can access all the elements in that hash table in 15.3 ms. For comparison, sorting the same data requires 36.6 ms, but accessing all the elements via binary search requires 79.5 ms. Furthermore, we show how our hashing methods can be applied to two graphics applications: 3D surface intersection for moving data and geometric hashing for image matching.
Keeping up-to-date with information technology: Testing a model of technological knowledge renewal effectiveness for IT professionals
Authors: Guang Rong, Varun Grover
Venue: Information and Management (2009)

In a rapidly changing IT environment, IT professionals need to keep abreast of technological knowledge. We examined how well this is achieved by developing a motivational model of ''technological knowledge renewal effectiveness.'' We hypothesized that (1) renewal effectiveness was influenced by the IT professional's career orientation, perceived IT dynamism, tolerance of ambiguity, delegation; and (2) that this positively affected both intrinsic and extrinsic job satisfaction. Survey data from 126 IT professionals was used to test the hypotheses. The results generally supported the research model. We discussed the implications of these results in both research and practice.
Research on the Impact of U-turn Location on Operation Efficiency at Intersection
Authors: Junqiang Leng, Hantao Zhao, Qian Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Direct left turn (DLT) at intersection has a lot of safety and operation problems. For example, it increases traffic conflicts, delay and reduces capacity of the road network. Increasingly, Right turn plus U-turn or U-turn plus right turn (RT+UT or UT+RT) at intersection as an alternative to DLT has been considered as an important access management. Many states and transportation agencies are considering to applying the access management. However, some operation problems emerge in practical application. For example, U-turn location selection is ill-defined, experiential and short of systemic programming theory. The impact of the treatment and applicability is still not very clear in China for the different traffic conditions with overseas countries. The primary objective of the study is to examine the influence of U-turn location selection to the effectiveness of U-turn at signalized intersections under the different conditions oftraffic volume andpercentage left turns. And set up a set of guidelines for using this alternative in China. To achieve the objectives, firstly, the traffic character under different U-turn location is analyzed. Secondly, delay and travel time models of U-turn are proposed. Then, the microscopic traffic simulation software VISSIM is used to make simulation of the different conventional location of U-turn traffic managements under different traffic volume and percentage left turns at intersection. For the precision of simulations, the simulation parameters are calibrated by using the field observed data. The average delay is used as performance estimation parameter. The trend lines of the relationship between average delay and different traffic volume on arterials and percentage left turns was developed. Consequently, the findings of this study are helpful in providing local and state transportation agencies with recommendations for the selection of access managements and various driveway left-turn alternatives on multilane roadways.
Novel Smith Predictor and CMAC-PID Control for Wireless Networked Control Systems
Authors: Feng Du, Wencai Du
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

This paper aims to the time-variant, random and uncertain wireless network delay, a novel approach is proposed that new Smith predictor combined with the CMAC-PID control for the wireless networked control systems (WNCS). This new Smith predictor does not include the prediction models of the network delays, therefore it is no need to measure, identify or estimate network delays on line. Based on IEEE 802.11 b/g (WLAN), the results of simulation show validity of this control scheme, indicate that system has better dynamic performance and anti-jamming ability.
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Authors: Zhenhua Guo, Lei Zhang, David Zhang
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filters, is one of state-of-the-art rotation invariant texture classification methods. However, this method has two limitations. First, it require a training stage to build a texton library, thus the accuracy depends on the training samples; second, during classification, each 8-dimensional feature is assigned to a texton by searching for the nearest texton in the library, which is time consuming especially when the library size is big. In this paper, we propose a novel texton feature, namely Binary Filter Response Pattern (BFRP). It can well address the above two issues by encoding the filter response directly into binary representation. The experimental results on the CUReT database show that the proposed BFRP method achieves better classification result than MR8, especially when the training dataset is limited and less comprehensive.
Time-parallel multiscale/multiphysics framework
Authors: G. Frantziskonis, K. Muralidharan, P. Deymier, S. Simunovic, P. Nukala, S. Pannala
Venue: Journal of Computational Physics (2009)

We introduce the time-parallel compound wavelet matrix method (tpCWM) for modeling the temporal evolution of multiscale and multiphysics systems. The method couples time parallel (TP) and CWM methods operating at different spatial and temporal scales. We demonstrate the efficiency of our approach on two examples: a chemical reaction kinetic system and a non-linear predator-prey system. Our results indicate that the tpCWM technique is capable of accelerating time-to-solution by 2-3-orders of magnitude and is amenable to efficient parallel implementation.
Human-Robot Interaction in Concept Acquisition: a computational model
Authors: Joachim de Greeff, Frederic Delaunay, Tony Belpaeme
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

This paper presents a discussion and simulation results which support the case for interaction during the acquisition of conceptual knowledge. Taking a developmental perspective, we first review a number of relevant insights on word-meaning acquisition in young children and specifically focus on concept learning supported by linguistic input. We present a computational model implementing a number of acquisition strategies, which enable a learning agent to actively steer the learning process. This is contrasted to a one way learning method, where the learner does not actively influence the learning experience. We present results demonstrating how dyadic interaction between a teacher and learner may result in a better acquisition of concepts.
Decision Making with Prostate Cancer: A Multiple-Objective Model with Uncertainty
Venue: Interfaces (2009)

A patient who has been diagnosed with prostate cancer must make a difficult treatment decision. The available alternatives have varying cure rates and probabilities of side effects over a period of many years. This paper describes a well-informed, objective, and personalized model for comparing treatments to help a patient make the best treatment decision.
A Rule-Based Modeling for the Description of Flexible and Self-healing Business Processes
Authors: Mohamed Boukhebouze, Youssef Amghar, Aïcha-Nabila Benharkat, Zakaria Maamar
Venue: Proceedings of the 13th East European Conference on Advances in Databases and Information Systems (2009)

In this paper we discuss the importance of ensuring that business processes are label robust and agile at the same time robust and agile. To this end, we consider reviewing the way business processes are managed. For instance we consider offering a flexible way to model processes so that changes in regulations are handled through some self-healing mechanisms. These changes may raise exceptions at run-time if not properly reflected on these processes. To this end we propose a new rule based model that adopts the ECA rules and is built upon formal tools. The business logic of a process can be summarized with a set of rules that implement an organization's policies. Each business rule is formalized using our ECAPE formalism (Event-Condition-Action-Post condition- post Event). This formalism allows translating a process into a graph of rules that is analyzed in terms of reliably and flexibility.
Experiences with Cell-BE and GPU for Tomography
Authors: Sander Maar, Kees Joost Batenburg, Jan Sijbers
Venue: Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation (2009)

Tomography is a powerful technique for three-dimensional imaging, that deals with image reconstruction from a series of projection images, acquired along a range of viewing directions. An important part of any tomograph system is the reconstruction algorithm. Iterative reconstruction algorithms have many advantages over non-iterative methods, yet their running time can be prohibitively long. As these algorithms have high potential for parallelization, multi-core architectures, such as the Cell-BE and GPU, can possibly alleviate this problem.In this paper, we describe our experiences in mapping the basic operations of iterative reconstruction algorithms onto these platforms. We argue that for this type of problem, the GPU yields superior performance compared to the Cell-BE. Performance results of our implementation demonstrate a speedup of over 40 for a single GPU, compared to a single-core CPU version. By combining eight GPUs and a quad-core CPU in a single system, similar performance to a large cluster consisting of hundreds of CPU cores has been obtained.
The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing
Authors: Sarah Jane Delany
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Case-based approaches to classification, as instance-based learning techniques, have a particular reliance on training examples that other supervised learning techniques do not have. In this paper we present the RDCL case profiling technique that categorises each case in a case-base based on its classification by the case-base, the benefit it has and/or the damage it causes by its inclusion in the case-base. We show how these case profiles can identify the cases that should be removed from a case-base in order to improve generalisation accuracy and we show what aspects of existing noise reduction algorithms contribute to good performance and what do not.
A Reduction of Logical Regulatory Graphs Preserving Essential Dynamical Properties
Authors: Aurélien Naldi, Elisabeth Remy, Denis Thieffry, Claudine Chaouiya
Venue: Proceedings of the 7th International Conference on Computational Methods in Systems Biology (2009)

To cope with the increasing complexity of regulatory networks, we define a reduction method for multi-valued logical models.Starting with a detailed model, this method enables the computation of a reduced model by iteratively "hiding" regulatory components. To keep a consistent behaviour, the logical rules associated with the targets of each hidden node are actualised to account for the (indirect) effects of its regulators.The construction of reduced models ensures the preservation of a number of dynamical properties of the original model. In particular, stable states and more complex attractors are conserved. More generally, we focus on the relationship between the attractor configuration of the original model and that of the reduced model, along with the issue of attractor reachability.The power of the reduction method is illustrated by its application to a multi-valued model of the segment-polarity network Controlling segmentation in the fly Drosophila melanogaster.
The representation and use of a visual lexicon for automated graphics generation
Authors: Michelle X. Zhou, Steven K. Feiner
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

Most automated graphics generation systems employ either a constructive or a parametric graphics synthesis approach. Constructive graphics synthesis is a deductive approach that builds visual presentations from scratch by gluing together the most basic visual variables. Conversely, parametric graphics synthesis defines a set of parametrized visual models and interprets the information to be presented through instantiation of the selected model. To increase efficiency, we have combined parametric and constructive approaches in a system called IMPROVISE. In this paper, we focus on the parametric aspect of our approach. We present a comprehensive, general, and extensible formalism to represent a visual lexicon for use in automated graphics generation. A visual lexicon is a collection of parametrized primitive visual objects that serve as building blocks for constructing more complex visual presentations. We also illustrate how this representation can be effectively employed to aid the selection and instantiation of a visual lexical item in the graphics generation process. Examples are given from IMPROVISE to demonstrate the representation and use of this visual lexicon.
Predicting strong associations on the basis of corpus data
Authors: Yves Peirsman, Dirk Geeraerts
Venue: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (2009)

Current approaches to the prediction of associations rely on just one type of information, generally taking the form of either word space models or collocation measures. At the moment, it is an open question how these approaches compare to one another. In this paper, we will investigate the performance of these two types of models and that of a new approach based on compounding. The best single predictor is the log-likelihood ratio, followed closely by the document-based word space model. We will show, however, that an ensemble method that combines these two best approaches with the compounding algorithm achieves an increase in performance of almost 30% over the current state of the art.