ppxscal/embedding_network huggingface dataset:
Using Adaptive Hypermedia to Support Diversity in Secondary Schools
Authors: Felix Munoz, Alvaro Ortigosa
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Attention to diversity is growing concern in public secondary schools in Spain. This paper presents an assessment about the use of Adaptive Hypermedia technology for supporting diversity. Three experiences were carried out with an adaptive course on Mathematics to test the effects of this technology on the heterogeneous population of secondary schools. Their results and conclusions are also presented.
Cortical Regions for Judgments of Emotions and Personality Traits from Point-light Walkers
Authors: Andrea S. Heberlein, Ralph Adolphs, Daniel Tranel, Hanna Damasio
Venue: Journal of Cognitive Neuroscience (2004)

Humans are able to use nonverbal behavior to make fast, reliable judgments of both emotional states and personality traits. Whereas a sizeable body of research has identified neural structures critical for emotion recognition, the neural substrates of personality trait attribution have not been explored in detail. In the present study, we investigated the neural systems involved in emotion and personality trait judgments. We used a type of visual stimulus that is known to convey both emotion and personality information, namely, point-light walkers. We compared the emotion and personality trait judgments made by subjects with brain damage to those made by neurologically normal subjects and then conducted a lesion overlap analysis to identify neural regions critical for these two tasks. Impairments on the two tasks dissociated: Some subjects were impaired at emotion recognition, but judged personality normally; other subjects were impaired on the personality task, but normal at emotion recognition. Moreover, these dissociations in performance were associated with damage to specific neural regions: Right somatosensory cortices were a primary focus of lesion overlap in subjects impaired on the emotion task, whereas left frontal opercular cortices were a primary focus of lesion overlap in subjects impaired on the personality task. These findings suggest that attributions of emotional states and personality traits are accomplished by partially dissociable neural systems.
Video streaming on embedded devices through GPRS network
Authors: K. P. Lim, D. Wu, S. Wu, R. Susanto, X. Lin, L. Jiang, R. Yu, F. Pan, Z. Li, S. Yao, G. Feng
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

We introduce a PDA-based live video streaming system on GPRS network based on MPEG-4 video compression standard. Due to the limited computational resources of PDA, all the key modules of MPEG-4 codec are efficiently implemented and optimized such as multithreading, buffer design, wireless communication, encoder and decoder. Several novel techniques are developed in the coding, streaming as well as the post- processing stages of the system.
Extracting Simulation Models from Complex Embedded Real-Time Systems
Authors: Johan Andersson, Joel Huselius, Christer Norstrom, Anders Wall
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

A modeling process is presented for extracting timing-accurate simulation models from complex embedded real-time systems. The process is supported by two complementary methods for tool-supported model extraction, Model Synthesis and Hybrid Model Extraction. The generated models enable impact analysis for complex real-time systems with respect to dynamic system properties, such as timing and resource usage. This can make software mainetnance more predictable with respect to time-to-market and development costs, since timing errors can be identified early and avoided. The contribution of the paper is the modeling process, the Hybrid Model Extraction method and an interactive modeling tool, MASS, designed to support Hybrid Model Extraction of large implementations in C.
An Improved Anonymous ID-Based Key Issuing Protocol
Authors: Yongquan Cai, Xiang Yan
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

ID-based cryptosystems have several advantages over the traditional PKC (Public Key Cryptosystems), but how to obtain the private key anonymously from them is still an open problem. Sui et al. proposed an ID-based key issuing protocol addressed the anonymity issue recently. But in their scheme, the one time password must be strictly protected, and any adversary can pass the identity verification by replacing the legal user's authentication parameters. An improved key issuing scheme is proposed to remove these limitations in this paper. Compared with Sui et al.'s scheme, the new scheme has illustrated higher security and better efficiency, and preserves all the other advantages of the original one. An extension of our scheme to remove key escrow problem is also presented.
Visualizing the Neural Bases of a Disconnection Syndrome with Diffusion Tensor Imaging
Authors: N. Molko, L. Cohen, J. F. Mangin, F. Chochon, S. Lehéricy, D. Le Bihan, S. Dehaene
Venue: Journal of Cognitive Neuroscience (2002)

Disconnection syndromes are often conceptualized exclusively within cognitive box-and-arrow diagrams unrelated to brain anatomy. In a patient with alexia in his left visual field resulting from a posterior callosal lesion, we illustrate how diffusion tensor imaging can reveal the anatomical bases of a disconnection syndrome by tracking the degeneration of neural pathways and relating it to impaired fMRI activations and behavior. Compared to controls, an abnormal pattern of brain activity was observed in the patient during word reading, with a lack of activation of the left visual word form area (VWFA) by left hemifield words. Statistical analyses of diffusion images revealed a damaged fiber tract linking the left ventral occipito-temporal region to its right homolog across the lesioned area of corpus callosum and stopping close to the areas found active in fMRI. The behavioral disconnection syndrome could, thus, be related functionally to abnormal fMRI activations and anatomically to the absence of a connection between those activations. The present approach, based on the "negative tracking" of degenerated bundles, provides new perspectives on the understanding of human brain connections and disconnections.
Audio-visual multimodal fusion for biometric person authentication and liveness verification
Authors: Girija Chetty, Michael Wagner
Venue: Proceedings of the 2005 NICTA-HCSNet Multimodal User Interaction Workshop - Volume 57 (2006)

In this paper we propose a multimodal fusion framework based on novel face-voice fusion techniques for biometric person authentication and liveness verification. Checking liveness guards the system against spoof/replay attacks by ensuring that the biometric data is captured from an authorised live person. The proposed framework based on bi-modal feature fusion, cross-modal fusion as well as 3D shape and texture fusion techniques, allow a significant improvement in system performance against impostor attacks, type-1 replay attacks (still photo and prerecorded audio), and challenging type-2 replay attacks(CG animated video from a still photo and pre-recorded audio) and robustness to pose and illumination variations.
Dynamical modelling of a genetic algorithm
Authors: E. J. Solteiro Pires, J. A. Tenreiro Machado, P. B. de Moura Oliveira
Venue: Signal Processing (2006)

This work addresses the signal propagation and the fractional-order dynamics during the evolution of a genetic algorithm (GA). In order to investigate the phenomena involved in the GA population evolution, the mutation is exposed to excitation perturbations during some generations and the corresponding fitness variations are evaluated. Three distinct fitness functions are used to study their influence in the GA dynamics. The input and output signals are studied revealing a fractional-order dynamic evolution, characteristic of a long-term system memory.
Networks of information sharing among computer-supported distance learners
Authors: Caroline Haythornthwaite
Venue: Proceedings of the 1999 conference on Computer support for collaborative learning (1999)

Collaborative learning requires interaction and exchange among learners as they share experiences and solve problems cooperatively. In computer-supported distance learning classes it is often difficult to know to what extent individuals are interacting and how much they communicate with other class members. To explore intra-class interaction, social network data were gathered on the exchange of information and advice about class work among members of four distance learning classes, and the use of media for this exchange. Results present a preliminary evaluation of characteristics of the "typical" student's network in these classes, including the size of the network, the frequency of exchanges, and the media used, and its relation to students sense of belonging to the class.
Scientific collaboration of new 10 EU countries in the field of social sciences
Authors: Irina Marshakova-Shaikevich
Venue: Information Processing and Management: an International Journal (2006)

The paper presents bibliometric analysis of scientific collaboration of new 10 countries EU in the field of social sciences. Material for this analysis was drawn from DB SSCI. The states as wholes are considered here as participants of collaboration. The results are mapped in a chart of counter to country links.
Accountability in Service-Oriented Architecture: Computing with Reasoning and Reputation
Authors: Yue Zhang, Kwei-Jay Lin, Tao Yu
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

Accountability benefits the Service-Oriented Computing (SOC) with trust and error reasoning. In this research, we study an accountability model with 3-D approach: Detect, Diagnose, and Defuse, to discover and eliminate the root cause of problems when violations of SLA (Service Level Agreement) occur in business processes. Our basic approaches are: (1) leveraging Bayesian Network to diagnose the root cause of problems when uncertainty exists in business processes; (2) a continuous knowledge learning process to deal with the dynamic nature of SOC: the feedbacks about problematic web services are counted into services' reputation, and will impact future service selections and Bayesian Network parameters learning. The performance study shows that our accountability model can rule out the root cause of problems in the whole business process effectively and efficiently with acceptable cost.
High-Performance Direct Pairwise Comparison of Large Genomic Sequences
Authors: Christopher Mueller Mehmet M. Dalkilic, Andrew Lumsdaine
Venue: IEEE Transactions on Parallel and Distributed Systems (2006)

Many applications in Comparative Genomics lend themselves to implementations that take advantage of common high-performance features in modern microprocessors. However, the common suggestion that a data-parallel, multithreaded, or high-throughput implementation is possible often ignores the complexity of actually creating such software. In this paper, we present two parallel algorithms for a classic comparative genomics algorithm, the dot plot. First, we describe a data-parallel algorithm that achieves speedups of up to 14.4x over the sequential version for large genomic comparisons. Then, we use the new algorithm as the base for a coarse-grained parallel version, suitable for multiprocessor and cluster environments, that scales linearly with the number of processors. These speedups introduce the opportunity to perform full pairwise comparisons on entire genomes on a much larger scale than previously possible. We also present the experimental, model-driven approach used to develop the algorithm that allowed us to carefully study and evaluate implementation options and to fully understand the parameters affecting its performance.
Mobile Advertising Effectiveness: an Exploratory Study
Authors: Dimitris Drossos, George M. Giaglis
Venue: Proceedings of the International Conference on Mobile Business (2006)

Mobile advertising is one of the most popular applications of mobile commerce, particularly in the form of SMS advertising. However, little is known regarding the effectiveness of such campaigns and the factors contributing to their success. In this paper we aim at identifying factors that influence the effectiveness of a mobile messaging advertising campaign. We draw on established knowledge from traditional advertising, which is adjusted to the principles of the mobile medium and combined with a number of mobile channel-specific attributes. A survey amongst advertising experts (N=90) is then used to investigate the significance of each variable. Through exploratory factor analysis, we postulate four categories of mobile messaging advertising effectiveness factors (Campaign Strategy, Source, Targeting, and Creative Development). Each factor consists of a number of variables, which are collectively hypothesized to impact the effectiveness of a mobile messaging advertising campaign.
Real-Time Landscape Model Interaction Using a Tangible Geospatial Modeling Environment
Authors: Helena Mitasova, Lubos Mitas, Carlo Ratti, Hiroshi Ishii, Jason Alonso, Russell S. Harmon
Venue: IEEE Computer Graphics and Applications (2006)

Emerging technologies that combine the flexibility of digital landscape representation with easy-to-interpret 3D physical models open new possibilities for user interaction with geospatial data. A prototype tangible geospatial modeling environment allows users to interact with landscape analysis and simulations using a tangible physical model.
Service-aware Overlay Adaptation in Ambient Networks
Authors: Lawrence Cheng, Kerry Jean, Roel Ocampo, Alex x. Alex Galis
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

Developing service-aware self-adaptation systems in heterogeneous and rapidly changing wireless networks such as Ambient Networks is a challenging issue. Key research areas are adaptation policy definition, network context monitoring, and adaptation policy enforcement. In this paper, we present the Ambient Virtual Pipe Platform (AVPP) - that provides a flexible approach towards the creation and management of self-adaptation service-aware overlays in Ambient Networks.
Designing agent chips
Authors: Insu Song, Guido Governatori
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

We outline meta-encoding schemas for compiling nonmonotonic logic theories into Verilog HDL (Hardware Description Language) descriptions. These descriptions can be synthesized into gate level specifications for direct fabrication of silicon chips. The method is applied for designing agent chips incorporating similar features found in the BDI (Belief, Desire, and Intention) and Brooks' subsumption architectures.
Instruction Through The Ages: Building Pervasive Virtual Instructors for Life Long Learning
Authors: Jayfus T. Doswell
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

A pervasive virtual instructor is an artificially intelligent instructor that may appear transparent to the learner or appear in the form of a threedimensional graphical character, digital toy, or robot with capabilities to inhabit mixed reality environments, and provide personalized instruction anytime, anywhere, and at an-pace. Similarly to pedagogical agents, or traditional virtual instructors, pervasive virtual instructors are expected to behave autonomously, respond to human verbal/non-verbal input, and deliver information to human users. Unique to pervasive virtual instructors in this paper are capabilities to provide instruction across distributed networks, interact with human learners using contextaware intelligence, and apply empirically researched pedagogical/andragogical techniques. Technology challenges remain for building pervasive virtual instructors to achieve aforementioned capabilities. This paper summarizes technical challenges and an approach for building pervasive instructors that provide life long instructional services.
Insights into the emergence of convergence in group discussions
Authors: Manu Kapur, John Voiklis, Charles K. Kinzer, John Black
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Understanding how complex group discussions converge presents a major challenge for collaborative problem-solving research (Fischer & Mandl, 2005). From a complex systems perspective, convergence in group discussions is an emergent behavior arising from the transactional interactions between group members. Leveraging on the concepts of emergent simplicity and emergent complexity (Bar-Yam, 2003), a set of theoretically-sound yet simple rules was hypothesized: Interactions between group members were conceptualized as goal-seeking adaptations that either help the group move towards or away from its goal, or maintain its status quo. Operationalizing this movement as a Markov walk, we present quantitative and qualitative findings from a study of online problem-solving groups. Findings suggest high (low) quality contributions have a greater positive (negative) impact on convergence when they come earlier in a discussion than later. Significantly, convergence analysis was able to predict a group's performance based on what happened in the first 30--40% of its discussion.
Specifying and resolving preferences among agent interaction patterns
Authors: Ashok U. Mallya, Munindar P. Singh
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

A strength of commitment protocols is that they enable agents to act flexibly, thereby enabling them to accommodate varying local policies and respond to exceptions. A consequent weakness is that commitment protocols thus fail to distinguish between possible executions that are normal and those that may be allowed but are not ideal. This paper develops an approach for specifying preferences among executions that are allowed by a protocol. It captures sets of executions via an event constraint specification language and gives them a denotational characterization based on branching-time models. This paper develops algorithms for choosing the best execution path by considering the interplay between the preference specification of a protocol and local policies of agents interacting using the protocol, thereby giving the specifications a natural operational characterization. The value of the concepts developed is illustrated by its application to a recent practical framework for protocols called OWL-P. Further, the paper shows that the operational and denotational characterizations of preference specifications coincide.
Getting to the Meaning of the Regular Past Tense: Evidence from Neuropsychology
Authors: C. E. Longworth, W. D. Marslen-Wilson, B. Randall, L. K. Tyler
Venue: Journal of Cognitive Neuroscience (2005)

Neuropsychological impairments of English past tense processing inform a key debate in cognitive neuroscience concerning the nature of mental mechanisms. Dual-route accounts claim that regular past tense comprehension deficits reflect a specific impairment of morphological decomposition (e.g., jump + ed), disrupting the automatic comprehension of word meaning accessed via the verb stem (e.g., jump). Single-mechanism accounts claim that the deficits reflect a general phonological impairment that affects perception of regular past tense offsets but which might preserve normal activation of verb semantics. We tested four patients with regular past tense deficits and matched controls, using a paired auditory semantic priming/lexical decision task with three conditions: uninflected verbs (hope/wish), regular past tense primes (blamed/accuse), and irregular past tense primes (shook/tremble). Both groups showed significant priming for verbs with simple morphophonology (uninflected verbs and irregular past tenses) but the patients showed no priming for verbs with complex morphophonology (regular past tenses) in contrast to controls. The findings suggest that the patients are delayed in activating the meaning of verbs if a regular past tense affix is appended, consistent with a dual-route account of their deficit.
Manipulation practice for upper-limb amputees using virtual reality
Authors: Manjuladevi Kuttuva, Grigore Burdea, James Flint, William Craelius
Venue: Presence: Teleoperators and Virtual Environments (2005)

We developed a novel interface that gives upper-limb amputees a virtual hand that can manipulate objects in a challenging environment. The interface registers specific myokinetic activity of the residual limbs, and encodes the intended voluntary movements that are then actualized as virtual hand motions. The composite myokinetic interface-virtual reality (MKI-VR) system consists of an array of pressure sensors mounted in an arm sleeve, sensors of elbow- and shoulder-joint angles, a trained filter derived from the pseudoinverse of a response matrix, and a virtual hand model, programmed in Java 3D. Users can manipulate virtual objects such as balls and pegs in a 3D training environment, while their performance at various difficulty levels is scored. In preliminary tests, upper-limb amputees readily gained the ability to grasp and release virtual objects. We propose the utility of the MKI-VR system both as an assessment tool for rehabilitation engineers, and as a motivator for amputees to exercise and thereby maintain their residual motor ability.
A mobile based approach to strong authentication on Web
Authors: Gianluigi Me, Daniele Pirro, Roberto Sarrecchia
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

The rapid increase of the phishing phenomenon states that the web authentication systems not based on One Time Password (OTP) are definitively ineffective in providing financial services. Existent web authentication systems have been developed on the classic username/password mechanism using a single channel, either mobile or web, generating an expensive or inadequate authentication system. The proposed solution is a combined web/mobile authentication system. The basic authentication mechanism is integrated with a challenge/response process and an OTP. The challenge is issued from an authentication server and has to authenticate a mobile device, typically a cell phone. This device can communicate with any other involved parts through a fixed terminal, typically a personal computer, via a Bluetooth connection. The mobile device, once accepted, performs the authentication with the web site or application. This final step is accomplished using a temporary one-time password.
Making a Supercomputer Do What You Want: High-Level Tools for Parallel Programming
Authors: Sudarshan Raghunathan
Venue: Computing in Science and Engineering (2006)

In this article, the author describes the trade-offs in using high-level tools for parallel computing, focusing particularly on those that integrate with existing scientific computing software on the desktop.
A NB-based approach to anti-spam application: DLB Classification Model
Authors: Bei Hui, Yue Wu, Lin Ji, Jia Chen
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

Classification using Naive Bayesian (NB) classifier model, which is the context - based spam filter method, is a hot topic. The NB classifier is a simple and effective classifier, but its attribute independence assumption makes it unable to express its semantic relation. A new classification model is proposed that call Double level Bayesian classifier model (DLB). It not only considers the semantic dependence, but also has the simple and effective characters that are the advantages of NB classifier model. The conclusion we get from the experiment is that the performance using DLB classifier model is better than which using NB classifier model.