ppxscal/embedding_network huggingface dataset:
Web Technologies in the Enterprise- Evaluating their Applicability to a Database Monitoring System
Authors: Benjamin Honzal
Venue:  (2007)

Web 2.0 currently receives tremendous attention from companies and consumers. New Web applications that do not incorporate Web 2.0 features are hard to sell in today's marketplace. Since companies in the enterprise space increasingly try to shift their traditional desktop applications to the Web, knowledge of Web 2.0 and its technologies is key to success. In this book, the author first gives an overview over various Web 2.0 technologies and concepts such as Ajax or client-side graphics and charting. These will then be evaluated on their applicability to a real-time enterprise-level database monitoring system. Particular emphasis is put on real-time communication technologies such as Comet and its alternatives as well as on technologies for graphics and charting within a web browser. Based on the evaluation, a proposal for a state-of-the-art database monitoring system is given. This book is targeted towards students and software developers, managers and executives who want to gain insight into Web 2.0 technologies and their applicability to real-time enterprise applications. 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
The Effects of Textual Complexity Decrease on Activating Graphical Information in Second Language Reading Comprehension
Authors: Yukari Kato
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

We investigated to identify the effects of graphic information on reading scientific journals. The experiments were designed to investigate relationship between language proficiency, text complexity, and accurate graphic use on both multiple-choice tests and summary. It showed that Japanese native speakers did not have difficulty to interpret graphic information accurately, which did not influence the reading comprehension in multiple-choice tests. On the contrary, accuracy of graphic indexing would influence the shallow levels of text processing for foreign students. It also revealed that decrease of text complexity would influence the use of graphic indexing at deep levels (summary) of foreign students' text processing decreasing.
Object representation and magnetic moments in thin alkali films
Authors: Gerd Bergmann, Christoph Vd. Malsburg
Venue:  (2008)

This thesis is broken into two parts a computer vision part and a solid state physics part. In the computer vision part of the thesis (chapters 1 through 5), the concept of an architecture is discussed with a review of what is known about the brain&rsquo;s visual architecture as it applies to object representation. With this in mind we review the two main types of architectures that are used in computer vision for object representation. A specific object representation is then implemented and optimized to solve a problem in object tracking. This representation is then used to derive the fiducial points of a face using two distinct methods. One using evolutionary algorithms and another by a Bayesian analysis of the feature responses drawn from a gallery of faces. The evolved fiducial representation is tested as a facial detection system. It is shown that the Bayesian analysis of facial images gives an entropy measure that can be used to further improve detection results in the facial detection system. In addition, two similarity metrics are explored in the context of facial detection. It is found that a normalized vector dot product substantially outperforms the Euclidean distance measure. The solid state part of the thesis is composed of two self contained chapters. An effort has been made to reduce the redundancies between the material but some will necessarily remain (i.e., short descriptions of the experimental setup). Both chapters deal with the phenomenon of magnetism of atomic impurities in and on thin metal host films. The important difference between the chapters, besides the results, lies in the experimental technique used to measure the magnetism. In chapter 6, thin films of Pb are covered in situ with sub monolayers of V, Mo and Co in the range between 0.01 and 1 monolayers. If the surface impurities are magnetic they will reduce the superconducting transition temperature of the Pb film. From the reduction of Tc the magnetic dephasing rate of the surface impurities 1/&tau;s and their magnetic cross section &sigma;s are calculated. We find that single V surface impurities are magnetic while single Mo and Co impurities are non-magnetic. Co surface clusters are magnetic. In chapter 7, thin films of Na, K, Rb and Cs are quench condensed, then covered with 1/100 of a mono-layer of Ti and finally covered with the original host. The magnetization of the films is measured by means of the anomalous Hall effect. An anomalous Hall resistance RAHE is observed for Ti on the surface of K, Rb and Cs and for Ti inside of Cs. Essentially the RAHE varies linearly with the magnetic field and is inversely proportional to the inverse temperature. A small non-linearity of RAHE suggests a Ti moment of about 1&micro;B.
Online learning by ellipsoid method
Authors: Liu Yang, Rong Jin, Jieping Ye
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classification hypotheses that are consistent with all the training examples received so far. This is in contrast to most online learning algorithms where only a single classifier is maintained at each iteration. Efficient algorithms are presented for updating both the centroid and the positive definite matrix of ellipsoid given a misclassified example. In addition to the classical ellipsoid method, an improved version for online learning is also presented. Mistake bounds for both ellipsoid methods are derived. Evaluation with the USPS dataset and three UCI data-sets shows encouraging results when comparing the proposed online learning algorithm to two state-of-the-art online learners.
Mining for the most certain predictions from dyadic data
Authors: Meghana Deodhar, Joydeep Ghosh
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

In several applications involving regression or classification, along with making predictions it is important to assess how accurate or reliable individual predictions are. This is particularly important in cases where due to finite resources or domain requirements, one wants to make decisions based only on the most reliable rather than on the entire set of predictions. This paper introduces novel and effective ways of ranking predictions by their accuracy for problems involving large-scale, heterogeneous data with a dyadic structure, i.e., where the independent variables can be naturally decomposed into three groups associated with two sets of elements and their combination. These approaches are based on modeling the data by a collection of localized models learnt while simultaneously partitioning (co-clustering) the data. For regression this leads to the concept of "certainty lift". We also develop a robust predictive modeling technique that identifies and models only the most coherent regions of the data to give high predictive accuracy on the selected subset of response values. Extensive experimentation on real life datasets highlights the utility of our proposed approaches.
Receiving the French: a bibliometric snapshot of the impact of `French theory' on information studies
Authors: Blaise Cronin, Lokman I. Meho
Venue: Journal of Information Science (2009)

This study explores the extent to which `French theory' (Bourdieu, Derrida, Foucault et al.) has left its mark on the scholarly literature of information studies. A bibliometric analysis reveals which theorists (and which works) have been most highly cited over the course of the last four decades. The study also identifies the information studies journals and scholars who have been the most frequent citers of French theorists.
Different measurements metrics to evaluate a chatbot system
Authors: Bayan Abu Shawar, Eric Atwell
Venue: Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies (2007)

A chatbot is a software system, which can interact or "chat" with a human user in natural language such as English. For the annual Loebner Prize contest, rival chatbots have been assessed in terms of ability to fool a judge in a restricted chat session. We are investigating methods to train and adapt a chatbot to a specific user's language use or application, via a user-supplied training corpus. We advocate open-ended trials by real users, such as an example Afrikaans chatbot for Afrikaans-speaking researchers and students in South Africa. This is evaluated in terms of "glass box" dialogue efficiency metrics, and "black box" dialogue quality metrics and user satisfaction feedback. The other examples presented in this paper are the Qur'an and the FAQchat prototypes. Our general conclusion is that evaluation should be adapted to the application and to user needs.
The Path of Speech Technologies in Computer-Assisted Language Learning, 1st edition
Authors: Meliss Holland
Venue:  (2007)

This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech recognition, text-to-speech synthesis, and acoustic visualization. Using pioneering research from contributors based in the US and Europe, this volume illustrates the uses of each technology for learning languages, the problems entailed in their use, and the solutions evolving in both technology and instructional design. To illuminate where these technologies stand on the path from research toward practice, the book chapters are organized to reflect five stages in the maturation of learning technologies: basic research, analysis of learners needs, adaptation of technologies to meet needs, development of prototypes to incorporate adapted technologies, and evaluation of prototypes. The volume demonstrates the progress in employing each class of speech technology while pointing up the effort that remains for effective, reliable application to language learning.
Deconstructing R eo
Authors: Dave Clarke, José Proença, Alexander Lazovik, Farhad Arbab
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Coordination in Reo emerges from the composition of the behavioural constraints of the primitives, such as channels, in a component connector. Understanding and implementing Reo, however, has been challenging due to interaction of the channel metaphor, which is an inherently local notion, and the non-local nature of constraint propagation imposed by composition. In this paper, the channel metaphor takes a back seat, and we focus on the behavioural constraints imposed by the composition of primitives, and phrase the semantics of Reo as a constraint satisfaction problem. Not only does this provide a clear intensional description of the behaviour of Reo connectors in terms of synchronisation and data flow constraints, it also paves the way for new implementation techniques based on constraint propagation and satisfaction. In fact, decomposing Reo into constraints provides a new computational model for connectors, which we extend to model interaction with an unknown external world beyond what is currently possible in Reo.
A Framework For Human-Aware Robot Planning
Authors: Marcello Cirillo, Lars Karlsson, Alessandro Saffiotti
Venue: Proceeding of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008 (2008)

Robots that share their workspace with humans, like household or service robots, need to take into account the presence of humans when planning their actions. In this paper, we present a framework for human-aware planning in which we consider three kinds of human-robot interaction. We focus in particular on the core module of the framework, a human-aware planner that generates a sequence of actions for a robot, taking into account the status of the environment, the goals of the robot and the forecasted plan of the human. We present a first realization of this planner, together with two simple experiments that demonstrate the feasibility of our approach.
Scaling the Performance of Tiled Processor Architectures with On-Chip-Network Topology
Authors: Yongqing Ren, Hong An, Ming Cong, Guang Xu, Li Wang
Venue: Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 01 (2009)

The trend in wire delays due to resistance is becoming a significant problem for microprocessor designers, forcing radically new tiled microprocessor architecture designs. This type of architecture will necessarily incorporate on-chip networks topology. This paper examines a few of the possible on-chip network topology in the context of tiled processor architectures. Firstly, by investigating some proposed tiled processor architecture, we observe that the on chip network interconnecting is the critical design point in the architectures. After that, we discuss the candidate topologies of on-chip network topology that satisfy these properties. Finally, a detailed experimental evaluation of these networks topology is presented to highlight the scalability and performance of these tiled processor architectures. Results show that we can achieve performance improvement by modifying basic mesh appropriately according to the granularity of the tile within technology restrictions.
List-decoding methods for inferring polynomials in finite dynamical gene network models
Authors: Janis Dingel, Olgica Milenkovic
Venue: Bioinformatics (2009)

Motivation: The problem of reverse engineering the dynamics of gene expression profiles is of focal importance in systems biology. Due to noise and the inherent lack of sufficiently large datasets generated via high-throughput measurements, known reconstruction frameworks based on dynamical systems models fail to provide adequate settings for network analysis. This motivates the study of new approaches that produce stochastic lists of explanations for the observed network dynamics that can be efficiently inferred from small sample sets and in the presence of errors. Results: We introduce a novel algebraic modeling framework, termed stochastic polynomial dynamical systems (SPDSs) that can capture the dynamics of regulatory networks based on microarray expression data. Here, we refer to dynamics of the network as the trajectories of gene expression profiles over time. The model assumes that the expression data is quantized in a manner that allows for imposing a finite field structure on the observations, and the existence of polynomial update functions for each gene in the network. The underlying reverse engineering algorithm is based on ideas borrowed from coding theory, and in particular, list-decoding methods for so called Reed-Muller codes. The list-decoding method was tested on synthetic data and on microarray expression measurements from the M3D database, corresponding to a subnetwork of the Escherichia coli SOS repair system, as well as on the complete transcription factor network, available at RegulonDB. The results show that SPDSs constructed via list-decoders significantly outperform other algebraic reverse engineering methods, and that they also provide good guidelines for estimating the influence of genes on the dynamics of the network. Availability: Software codes for list-decoding algorithms suitable for direct application to quantized expression data will be publicly available at the authors' web-pages. Contact:janis.dingel@tum.de; milenkov@uiuc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
A massively parallel exponential integrator for advection-diffusion models
Authors: A. Martínez, L. Bergamaschi, M. Caliari, M. Vianello
Venue: Journal of Computational and Applied Mathematics (2009)

This work considers the Real Leja Points Method (ReLPM), [M. Caliari, M. Vianello, L. Bergamaschi, Interpolating discrete advection-diffusion propagators at spectral Leja sequences, J. Comput. Appl. Math. 172 (2004) 79-99], for the exponential integration of large-scale sparse systems of ODEs, generated by Finite Element or Finite Difference discretizations of 3-D advection-diffusion models. We present an efficient parallel implementation of ReLPM for polynomial interpolation of the matrix exponential propagators exp(@DtA)v and @f(@DtA)v, @f(z)=(exp(z)-1)/z. A scalability analysis of the most important computational kernel inside the code, the parallel sparse matrix-vector product, has been performed, as well as an experimental study of the communication overhead. As a result of this study an optimized parallel sparse matrix-vector product routine has been implemented. The resulting code shows good scaling behavior even when using more than one thousand processors. The numerical results presented on a number of very large test cases gives experimental evidence that ReLPM is a reliable and efficient tool for the simulation of complex hydrodynamic processes on parallel architectures.
On a speculated relation between chvátal–sankoff constants of several sequences
Authors: M. Kiwi, J. Soto
Venue: Combinatorics, Probability and Computing (2009)

It is well known that, when normalized by n, the expected length of a longest common subsequence of d sequences of length n over an alphabet of size σ converges to a constant γσ,d. We disprove a speculation by Steele regarding a possible relation between γ2,d and γ2,2. In order to do that we also obtain some new lower bounds for γσ,d, when both σ and d are small integers.
Multiple frequency reuse schemes in the two-hop IEEE 802.16j wireless relay networks with asymmetrical topology
Authors: Weiwei Wang, Zihua Guo, Jun Cai, Xuemin(Sherman) Shen, Changjia Chen
Venue: Computer Communications (2009)

In this paper, throughput performance of the access links (i.e., base station to mobile station and relay station to mobile station) is analyzed for the two-hop IEEE 802.16j wireless relay networks with asymmetrical topology. In specific, three frequency reuse schemes are proposed to improve the spectrum efficiency of the access links: (1) an isolation band based frequency reuse scheme (IBFRS) which introduces an isolation band surrounding each relay station (RS) cluster (i.e, a separate RS or several adjacent RSs) so that the throughput of the access link can be improved by allowing frequency reuse between RSs and the base station (BS); (2) the dynamic frequency power partition (DFPP) scheme for reusing the frequency among RSs; (3) the selective reuse (SR) scheme for the RSs to further selectively reuse the frequency in the isolation band according to the interference measurement. Comprehensive simulation shows that by applying the proposed IBFRS+DFPP+SR, the throughput of the access link can be significantly improved.
A study of object-oriented design errors made by novice programmers
Authors: Nelishia Pillay
Venue: Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association (2009)

There has been a vast amount of research into the errors made by novice programmers when implementing the object-oriented programming paradigm. However, a majority of the work in this area has focused on language-specific or implementation errors. There has been very little work done on object-oriented design errors. This paper presents the results of a study conducted to identify such errors and brings together the findings of this study and previous work in this area.
Adult Learner Perceptions of Affective Agents: Experimental Data and Phenomenological Observations
Authors: Daniel Warren, E. Shen, Sanghoon Park, Amy L. Baylor, Roberto Perez
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

This paper describes a two-part study of animated affective agents that varied by affective state (positive or evasive) and motivational support (present or absent). In the first study, all four conditions significantly improved learning; however, only three conditions significantly improved math self-efficacy, the exception being the animated agent with evasive emotion and no motivational support. To help in interpreting these unexpected results, the second study used a phenomenological approach to gain an understanding of learner perceptions, emotions, interaction patterns, and expectations regarding the roles of agent affective state and motivational support during the learning process. From the qualitative data emerged three overall themes important to learners during the learning process: learner perceptions of the agent, learner perceptions of self, and learner-agent social interaction. This paper describes the results of the phenomenological study and discusses the findings with recommendations for future research.
Ubiquitous supervisory system based on social contexts using ontology
Authors: Satoru Izumi, Kazuhiro Yamanaka, Yoshikazu Tokairin, Hideyuki Takahashi, Takuo Suganuma, Norio Shiratori
Venue: Mobile Information Systems (2009)

As described in this paper, we propose a supervisory system that considers actual situations and social aspects of users in a ubiquitous computing environment. To realize gentle and safe supervision while providing efficient supervisory services, the system must recognize the situations of a watched person, such as the person's physical condition. To achieve this, we have proposed a ubiquitous supervisory system "uEyes", which introduces Social Context Awareness: a distinguishing feature for supervision. Using this feature, the system can combine environmental information acquired from sensors in the real world and common-sense knowledge related to human activities in daily life. As described in this paper, we specifically examine design of Social Context Awareness using ontology technologies. Based on this advanced feature, a live video streaming system is configured autonomously depending on the users' circumstances in runtime. We implemented a uEyes prototype for supervising elderly people and performed some experiments based on several scenarios. Based on those experimental results, we confirmed that the social contexts are handled effectively to support the supervision.
Acquisition of a concession strategy in multi-issue negotiation
Authors: Yoshiaki Yasumura, Takahiko Kamiryo Shohei Yoshikawa Kuniaki Uehara
Venue: Web Intelligence and Agent Systems (2009)

This paper presents a method for acquiring a concession strategy of an agent in multi-issue negotiation. This method learns how to make a concession to an opponent for realizing win-win negotiation. To learn the concession strategy, we adopt reinforcement learning. First, an agent receives a proposal from an opponent. The agent recognizes a negotiation state using the difference between their proposals and the difference between their concessions. According to the state, the agent makes a proposal by reinforcement learning. A reward of the learning is a profit of an agreement and a punishment of negotiation breakdown. The experimental results showed that the agents could acquire the negotiation strategy that avoids negotiation breakdown and increases profits of an agreement. As a result, agents can acquire the action policy that strikes a balance between cooperation and competition.