ppxscal/embedding_network huggingface dataset:
MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler
Authors: Ye Huang, Amos Brocco, Michele Courant, Beat Hirsbrunner, Pierre Kuonen
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate's design emphasizes scheduler interoperability by providing intelligent scheduling serving the grid community as a whole. Each MaGate scheduler instance is able to deal with dynamic scheduling conditions, with continuously arriving grid jobs. Received jobs are either allocated on local resources, or delegated to other MaGates for remote execution. The proposed MaGate simulator is based on GridSim toolkit and Alea simulator, and abstracts the features and behaviors of complex fundamental grid elements, such as grid jobs, grid resources, and grid users. Simulation of scheduling tasks is supported by a grid network overlay simulator executing distributed ant-based swarm intelligence algorithms to provide services such as group communication and resource discovery. For evaluation, a comparison of behaviors of different collaborative policies among a community of MaGates is provided. Results support the use of the proposed approach as a functional ready grid scheduler simulator.
Single 2D Image-based 3D Face Reconstruction and Its Application in Pose Estimation
Authors: Xun Gong, Guoyin Wang, Lili Xiong
Venue: Fundamenta Informaticae (2009)

Human beings are born with a natural capacity of recovering shape from merely one image. However, it is still a challenging mission for current techniques to make a computer have such an ability. To simulate the modeling procedure of human visual system, a Ternary Deformation Framework (TDF) is proposed to reconstruct a realistic 3D face from one 2D frontal facial image, with prior knowledge regarding facial shape learnt from a 3D face data set. Based upon the reconstructed 3D face, a novelmethod via linear regression is then proposed to estimate that person's pose on another image with pose variations. Simulation results show that TDF outperforms the conventional methods with respect to the modeling precision and that reconstructions on real photographs have achieved favorable visual effects. Moreover, the comparison results validated the effectiveness of using the 3D face in the proposed pose estimation method.
A Graphical Environment for the Semantic Validation of a Plan Execution Language
Authors: Camilo Rocha, César Munoz, Héctor Cadavid
Venue: Proceedings of the Third IEEE International Conference on Space Mission Challenges for Information Technology (2009)

This paper presents PLEXIL5, PLEXIL's Formal Interacting Visual Environment, a graphical environment providing an user-friendly interface to the formal operational semantics of PLEXIL. PLEXIL is a synchronous plan execution language developed by NASA to support autonomous space operations. PLEXIL5 serves as a testbed for designers, developers and users of PLEXIL's executive system to validate, maintain, and debug the implementation of the system against the formal semantics of the language. The executable formal semantics of PLEXIL is an executable rewriting logic theory in Maude's language.
Automatic Tailoring of an Actor Profile Ontology
Authors: Montserrat Batet, Aida Valls, Karina Gibert, Sergio Martínez, Ester Morales
Venue: Knowledge Management for Health Care Procedures: ECAI 2008 Workshop, K4HelP 2008, Patras, Greece, July 21, 2008, Revised Selected Papers (2009)

Knowledge tailoring is a powerful tool to customize a system according to the particular view and interests of the user, in such a way that usability of the system becomes significantly improved. In this paper, the tailoring of an actor profile ontology is discussed in the context of a HomeCare integrated system that is being designed and implemented in the EU K4Care project. The paper analyzes different ways of implementing the automatic tailoring of an ontology. A tool called ATAPO, which has been designed and implemented to assist the user in this automatic tailoring is presented.
Some DLV Applications for Knowledge Management
Authors: Giovanni Grasso, Salvatore Iiritano, Nicola Leone, Francesco Ricca
Venue: Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning (2009)

Even if the industrial exploitation of the DLV system has started very recently, DLV already has a history of applications on the industrial level. The most valuable applications from a commercial viewpoint are those in the area of Knowledge Management. They have been realized by the company EXEURA s.r.l. - a spin-off company of the University of Calabria having a branch also in Chicago - with the support of the DLVSYSTEM s.r.l.. DLV applications in this area have not been realized directly, but through some specializations of DLV into Knowledge Management (KM) products for Text Classification, Information Extraction, and Ontology Representation and Reasoning. After briefly describing these KM products, we report on their recently-released successful applications.
Mining Association and Correlation Patterns Simultaneously in Database
Authors: Jianlin Zhang, Wensheng Zou
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

Data mining aims to discover useful patterns (rules) in large datasets. In order to enhance the interestingness of the patterns produced, we propose an algorithm to mine both association and correlation patterns among items. In the mining process the all-confidence and correlation-confidence measures are adopted simultaneously. The effectiveness of the proposed approach is demonstrated with the experiment results on some real data sets.
Anticipating conflict facilitates controlled stimulus-response selection
Authors: Ángel Correa, Anling Rao, Anna C. Nobre
Venue: Journal of Cognitive Neuroscience (2009)

Cognitive control can be triggered in reaction to previous conflict, as suggested by the finding of sequential effects in conflict tasks. Can control also be triggered proactively by presenting cues predicting conflict ("proactive control")? We exploited the high temporal resolution of ERPs and controlled for sequential effects to ask whether proactive control based on anticipating conflict modulates neural activity related to cognitive control, as may be predicted from the conflict-monitoring model. ERPs associated with conflict detection (N2) were measured during a cued flanker task. Symbolic cues were either informative or neutral with respect to whether the target involved conflicting or congruent responses. Sequential effects were controlled by analyzing the congruency of the previous trial. The results showed that cueing conflict facilitated conflict resolution and reduced the N2 latency. Other potentials (frontal N1 and P3) were also modulated by cueing conflict. Cueing effects were most evident after congruent than after incongruent trials. This interaction between cueing and sequential effects suggests neural overlap between the control networks triggered by proactive and reactive signals. This finding clarifies why previous neuroimaging studies, in which reactive sequential effects were not controlled, have rarely found anticipatory effects upon conflict-related activity. Finally, the high temporal resolution of ERPs was critical to reveal a temporal modulation of conflict detection by proactive control. This novel finding suggests that anticipating conflict speeds up conflict detection and resolution. Recent research suggests that this anticipatory mechanism may be mediated by preactivation of ACC during the preparatory interval.
UbiBall: a ubiquitous computing game for children
Authors: Douglas Easterly, Angela Blachnitzky
Venue: Proceedings of the 13th International MindTrek Conference: Everyday Life in the Ubiquitous Era (2009)

UbiBall is a ubiquitous computer game developed by researchers from Victoria University of Wellington, New Zealand. Our aim was to create a computer game that countered many of the sedentary trends found in traditional computer games. UbiBall features a ubiquitous computing ball outfitted with a microcontroller. The microcontroller emits sound and light in accordance with the various ways it is interacted with. It also data-logs the play activity to a CSV (Certified Server Validation) file, which then acts as a bridge between two modes of game play, one that is physical and active, and another that is a screen-based game. Ultimately, the game provides a unique form of computer game play due to the fact that better performance in the screen game is dependent on better performance in the physical aspect of the game.
A Solution for Natural Video Matting
Authors: Alon Gamliel
Venue:  (2009)

The problem of extracting an object from an image, known as ?image matting,? has been deeply investigated in the last two decades. Its extension to address video, i.e., ?video matting,? has gained less attention. This paper studies the difficulties that should be addressed when extending image matting methods to work on video. In particular we address the following problems: (i) While the required user intervention is reduced over the years, it still remains unpractical to manually provide user marks on every frame; (ii) the temporal continuity of a video sequence suggests that it may be beneficial to solve the matting equations for the entire video simultaneously. This, however, is impractical due to memory constraints; (iii) because of the huge size of input data, interactive results update is not trivially plausible. To cope with these difficulties, we exploit video continuity. Temporal continuity is used to propagate user provided hints, while spatial continuity is used to reduce the number of unknowns and the number of constraints. Finally, we apply an incremental matrix factorization to allow real-time insertion of new user-provided constraints. 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 our duties as scientists
Authors: Oded Goldreich
Venue: ACM SIGACT News (2009)

Our primary duty as scientists is to contribute to the progress of science. By doing so, we best fulfill our duties to the society at large. Our primary duty is not fulfilled by merely doing research, but rather by communicating our findings to the relevant scientific community. The role of this community in the scientific process, entails some important (secondary) duties towards this community (e.g., evaluation of scientific work and education of future generations of researchers). Needless to say, this essay presents my own subjective opinions regarding the aforementioned issues. I also seize the opportunity to express some related and less related opinions.
Further Steps towards Driver Modeling According to the Bayesian Programming Approach
Authors: Claus Möbus, Mark Eilers
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of human control strategies for simulating traffic scenarios. We describe first results to model lateral and longitudinal control behavior of drivers with simple dynamic Bayesian sensory-motor models according to the Bayesian Programming (BP) approach: Bayesian Autonomous Driver (BAD) models. BAD models are learnt from multivariate time series of driving episodes generated by single or groups of users. The variables of the time series describe phenomena and processes of perception, cognition, and action control of drivers. BAD models reconstruct the joint probability distribution (JPD) of those variables by a composition of conditional probability distributions (CPDs). The real-time control of virtual vehicles is achieved by inferring the appropriate actions under the evidence of sensory percepts with the help of the reconstructed JPD.
Urban Traffic Flow Guidance System Based on Data Driven
Authors: Ming Zhao
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Data-driven means the control and decision making is based on the state of the data. The data-drive urban traffic flow guidance system is a decision making system which is based on large amount of traffic flow data. This paper gives detailed discussion of data-drive urban traffic flow guidance system and performs qualitative analysis on the main components of this system, which includes the distribution of traffic flow data collectors, the layers of guidance system, the feature vector of traffic flow state, and the comparison of traffic flow estimation techniques. The paper represents a new approach to study and construct the traffic guidance system.
Accelerating reinforcement learning through implicit imitation
Authors: Bob Price, Craig Boutilier
Venue: Journal of Artificial Intelligence Research (2003)

Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent's ability to learn useful behaviors by making intelligent use of the knowledge implicit in behaviors demonstrated by cooperative teachers or other more experienced agents. We propose and study a formal model of implicit imitation that can accelerate reinforcement learning dramatically in certain cases. Roughly, by observing a mentor, a reinforcement-learning agent can extract information about its own capabilities in, and the relative value of, unvisited parts of the state space. We study two specific instantiations of this model, one in which the learning agent and the mentor have identical abilities, and one designed to deal with agents and mentors with difierent action sets. We illustrate the benefits of implicit imitation by integrating it with prioritized sweeping, and demonstrating improved performance and convergence through observation of single and multiple mentors. Though we make some stringent assumptions regarding observability and possible interactions, we briefly comment on extensions of the model that relax these restricitions.
Assessing the understandability of UML statechart diagrams with composite states--A family of empirical studies
Authors: José A. Cruz-Lemus, Marcela Genero, M. Esperanza Manso, Sandro Morasca, Mario Piattini
Venue: Empirical Software Engineering (2009)

The main goal of this work is to present a family of empirical studies that we have carried out to investigate whether the use of composite states may improve the understandability of UML statechart diagrams derived from class diagrams. Our hypotheses derive from conventional wisdom, which says that hierarchical modeling mechanisms are helpful in mastering the complexity of a software system. In our research, we have carried out three empirical studies, consisting of five experiments in total. The studies differed somewhat as regards the size of the UML statechart models, though their size and the complexity of the models were chosen so that they could be analyzed by the subjects within a limited time period. The studies also differed with respect to the type of subjects (students vs. professionals), the familiarity of the subjects with the domains of the diagrams, and other factors. To integrate the results obtained from each of the five experiments, we performed a meta-analysis study which allowed us to take into account the differences between studies and to obtain the overall effect that the use of composite states has on the understandability of UML statechart diagrams throughout all the experiments. The results obtained are not completely conclusive. They cast doubts on the usefulness of composite states for a better understanding and memorizing of UML statechart diagrams. Composite states seem only to be helpful for acquiring knowledge from the diagrams. At any rate, it should be noted that these results are affected by the previous experience of the subjects on modeling, as well as by the size and complexity of the UML statechart diagrams we used, so care should be taken when generalizing our results.
Universal technique for optimization of neural network training parameters: gasoline near infrared data example
Authors: Roman M. Balabin, Ravilya Z. Safieva, Ekaterina I. Lomakina
Venue: Neural Computing and Applications (2009)

The universal technique of finding optimum training parameters for multi-layer perceptron&#x2014;such as percentage of samples in a cross-validation set and quantities of training iterations with various initial values&#x2014;is offered. This technique is aimed at the searching of optimum values of two complex factors depending on accuracy and convergence of a network, and also on the time of its training. Their conventional names are &#x201c;cross-validation coefficient&#x201d; and &#x201c;training iteration coefficient&#x201d;. Near infrared spectroscopy data for gasoline samples are used to evaluate the efficiency of the method.
Is representational guidance culturally relative?
Authors: Ravi Vatrapu, Daniel Suthers
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

The basic hypothesis of this research project is that since the perception and appropriation of affordances vary across cultural dimensions, representational guidance may be culturally relative. An experimental study was conducted to evaluate this hypothesis. The study design consisted of three independent groups of dyads from similar or different cultures (American-American, American-Chinese, and Chinese-Chinese) doing collaborative problem-solving in a knowledge-mapping learning environment. Participants interacted through an asynchronous computer interface providing multiple tools for interaction (diagrammatic workspace, embedded notes, threaded discussion). Based on empirical findings documenting cross-cultural variations in communication and cognition, several research hypotheses were advanced. Statistical results show that members of different cultures appropriated the resources of the interface differently in their interaction, and formed differential relations with and impressions of each other. However, analyses of the individually written essays show no statistically significant differences in learning outcomes. Implications for CSCL are discussed.
Porous silicon for the development of capacitive microstructures
Authors: A. Sancho, F. Arizti, F. J. Gracia
Venue: Microelectronic Engineering (2009)

Macroporous silicon is developed in p-type substrates in order to extend the active surface area of the electrodes in a silicon integrated capacitive element. Some laboratory prototypes with a 3D architecture and Si/SiO"2/PolySi layers have been developed. The contribution of the surface enlargement to the final capacitance is analyzed by comparing it with a 2D planar reference capacitive device. By this method, a capacitance gain of 2400% has been obtained at low frequencies with a capacitance density of 180nF/cm^2. Based on the physical microstructure, an equivalent electrical circuit of the porous capacitive element is proposed and its electrical behavior discussed.
Business Objects Designer XI V3: Creating Universes with, v3 edition
Authors: Robert D. Schmidt
Venue:  (2009)

Creating Universes with Business Objects Designer XI V3 is a complete learning system consisting of a thorough book and a professionally designed computer-based training application. The system is completely dedicated to teaching you how to become a competent Universe Designer. Readers learn how to create a basic universe and, how to tackle many of the complications that may arise when designing universes. These topics include chasm traps, fan traps, multi-keyed property tables, double-counting measures, multiple fact tables, aggregated fact tables and more. Creating Universes with Business Objects Designer XI V3 is a wonderfully presented book with hundreds of large graphics, large fonts, and room for notes on every page. The topics are presented in a very smooth and organized manner, which makes the book very easy to learn from. The Creating Universes with Business Objects Designer XI V3 computer-based training CBT contains hours of interactive video instruction on over 80 different topics. Each topic discusses or demonstrates important aspects of universe design. The CBT interface is innovative and user-friendly, allowing students to browse chapter folders to locate topic icons. Students simply click on a topic icon to view and listen to a video. This interaction allows the CBT to be both a great trainer and a complete reference. Many people will find that this CBT is actually better than attending a class. In addition to the book and CBT, the CD contains an Adobe Acrobat presentation that allows the material to be presented in a classroom environment. Imagine teaching a class where each student gets a book and a CBT! The after-class support will be minimal, because each student will have plenty of reference material. The author realizes that even with the best training systems, questions may arise. Therefore he has made himself accessible through his email, which is published in the book. He is very concerned that readers are able to learn the product, and therefore more than willing to answer any emails that may be sent to him. The text, graphics, CBT, presentation, and author availability make this book a very powerful learning package that gives people every opportunity to discover how to become professional, competent Business Objects Universe Designers. 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
Spatio-temporal Super-Resolution Using Depth Map
Authors: Yusaku Awatsu, Norihiko Kawai, Tomokazu Sato, Naokazu Yokoya
Venue: Proceedings of the 16th Scandinavian Conference on Image Analysis (2009)

This paper describes a spatio-temporal super-resolution method using depth maps for static scenes. In the proposed method, the depth maps are used as the parameters to determine the corresponding pixels in multiple input images by assuming that intrinsic and extrinsic camera parameters are known. Because the proposed method can determine the corresponding pixels in multiple images by a one-dimensional search for the depth values without the planar assumption that is often used in the literature, spatial resolution can be increased even for complex scenes. In addition, since we can use multiple frames, temporal resolution can be increased even when large parts of the image are occluded in the adjacent frame. In experiments, the validity of the proposed method is demonstrated by generating spatio-temporal super-resolution images for both synthetic and real movies.