ppxscal/embedding_network huggingface dataset:
The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance
Authors: James Y. L. Thong, Se-Joon Hong, Kar Yan Tam
Venue: International Journal of Human-Computer Studies (2006)

The expectation-confirmation model (ECM) of IT continuance is a model for investigating continued information technology (IT) usage behavior. This paper reports on a study that attempts to expand the set of post-adoption beliefs in the ECM, in order to extend the application of the ECM beyond an instrumental focus. The expanded ECM, incorporating the post-adoption beliefs of perceived usefulness, perceived enjoyment and perceived ease of use, was empirically validated with data collected from an on-line survey of 811 existing users of mobile Internet services. The data analysis showed that the expanded ECM has good explanatory power (R^2=57.6% of continued IT usage intention and R^2=67.8% of satisfaction), with all paths supported. Hence, the expanded ECM can provide supplementary information that is relevant for understanding continued IT usage. The significant effects of post-adoption perceived ease of use and perceived enjoyment signify that the nature of the IT can be an important boundary condition in understanding the continued IT usage behavior. At a practical level, the expanded ECM presents IT product/service providers with deeper insights into how to address IT users' satisfaction and continued patronage.
Handling load with less stress
Authors: Nikhil Bansal, David Gamarnik
Venue: Queueing Systems: Theory and Applications (2006)

We study how the average performance of a system degrades as the load nears its peak capacity. We restrict our attention to the performance measures of average sojourn time and the large deviation rates of buffer overflow probabilities. We first show that for certain queueing systems, the average sojourn time of requests depends much more weakly on the load ¿ than the commonly observed 1/(1¿¿) dependence for most queueing policies. For example, we show that for an M/G/1 system under the preemptive Shortest Job First (pSJF) policy, the average sojourn time varies as log (1/(1¿¿)) with load for a certain class of distributions.We observe that such results hold even for more restricted policies. We give some examples of non-preemptive policies and policies that do not use the knowledge of job sizes while scheduling, where the dependence of average sojourn time on load is significantly better than 1/(1¿¿). Similar results hold even for very simple non-preemptive threshold based policies that partition all the jobs into two job classes based on a fixed threshold and do FIFO within each class. Finally we study the large deviations rate of the queue length under a simple dedicated partition-based policy.
Strictly Nonblocking Multicasting WDM Optical Cross Connects Using Multiwavelength Converters
Authors: Haitham S. Hamza, Jitender S. Deogun
Venue: Proceedings of the 14th IEEE Symposium on High-Performance Interconnects (2006)

In this paper, we propose new strictly nonblocking Multicast Capable Optical Cross Connects (MC-OXCs) architectures that exploit the potential of multi-wavelength converters (MWCs). An MWC is capable of simultaneously replicating a signal on an input wavelength to several output wavelengths. We investigate two families of MCOXCs based on use of Full- and Limited-range MWCs, and present a number of architectures in each of the two families. Proposed architectures present a trade-off between switching complexity, conversion cost, and signal loss.
Modeling and simulation of non-smooth mechanical systems
Authors: J. Awrejcewicz, G. Kudra, P. Olejnik
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 4 (2003)

An advanced modeling of two real physical non-smooth objects is carried out. The non-linear ordinary differential and algebraic inequalities are derived and then numerically simulated. Various aspects of non-linear dynamics are addressed, illustrated and discussed. In the first case, the triple physical pendulum with barriers is used to model a piston-connecting rod-crankshaft system of a mono-cylinder combustion engine. Among other results, a peculiar motion of the piston-connecting rod-crankshaft model is reported, i.e. six sliding stages of the piston along the cylinder per one engine cycle are illustrated. In the second case, the two-degrees-of-freedom mechanical self-excited system with friction modeling the girling duo-servo brake is studied.
Method for drawing intersecting clustered graphs and its application to web ontology language
Authors: Hiroki Omote, Kozo Sugiyama
Venue: Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60 (2006)

We introduce a class of graphs called an intersecting clustered graph that is a clustered graph with intersections among clusters. We propose a novel method for nicely drawing the graph based on the electric spring model that is force-directed approach. We evaluate the performance of this method through experiments. Then we apply the proposed method to the area of Web Ontology Language.
Efficient Incremental Optimal Chain Partition of Distributed Program Traces
Authors: Selma Ikiz, Vijay K. Garg
Venue: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (2006)

An important problem in distributed systems is observation of global properties of distributed computations. What makes this problem difficult is that events in the computation can be concurrent, i.e. the relation between events forms a partial order, not a total order. One of the fundamental parameters of a partial order is the width, which corresponds to the maximum number of mutually incomparable elements. For example, a process-time diagram that shows this partial order decomposition in minimum number of chains can be very useful in monitoring or debugging such computations. In this paper, we present an incremental algorithm to compute the optimal chain partition. We compare our algorithm with existing chain reduction algorithms. From a practical point of view, performance evaluation shows that our approach achieves up to 90% run-time improvement over the previously known algorithms.
Second Language Interferes with Word Production in Fluent Bilinguals: Brain Potential and Functional Imaging Evidence
Authors: Antoni Rodriguez-fornells, Arie Van Der Lugt, Michael Rotte, Belinda Britti, Hans-Jochen Heinze, Thomas F. Münte
Venue: Journal of Cognitive Neuroscience (2005)

Bilingual individuals need effective mechanisms to prevent interference between their languages. Using event-related brain potentials (ERPs) and functional magnetic resonance imaging (fMRI), we present evidence for interference of phonological information from the nontarget language in German&ndash;Spanish bilinguals. A tacit picture-naming task was used in which bilinguals and monolinguals had to make speeded responses based on the first letter of the picture's name in the target language. In one condition, subjects were required to respond when the name began with a vowel and to withhold a response if it started with a consonant. Stimuli had been selected such that in half of the trials, the names in both languages necessitated the same response, whereas in the other half, responses were different for the two languages. For the bilinguals, the language in which the stimuli had to be named was changed after each block. Bilinguals showed phonological interference compared with monolingual performance, which was evident in their performance, ERPs, and fMRI patterns. Nonlanguagespecific brain areas such as the left middle prefrontal cortex were found to be crucial for the control of interference.
System-Level Energy Management for Periodic Real-Time Tasks
Authors: Hakan Aydin, Vinay Devadas, Dakai Zhu
Venue: Proceedings of the 27th IEEE International Real-Time Systems Symposium (2006)

In this paper, we consider the system-wide energy management problem for a set of periodic real-time tasks running on a DVS-enabled processor. Our solution uses a generalized power model, in which frequency-dependent and frequency-independent power components are explicitly considered. Further, variations in power dissipations and on-chip/off-chip access patterns of different tasks are encoded in the problem formulation. Using this generalized power model, we show that it is possible to obtain analytically the task-level energyefficient speed below which DVS starts to affect overall energy consumption negatively. Then, we formulate the system-wide energy management problem as a non-linear optimization problem and provide a polynomial-time solution. We also provide a dynamic slack reclaiming extension which considers the effects of slow-down on the system-wide energy consumption. Our experimental evaluation shows that the optimal solution provides significant (up to 50%) gains over the previous solutions that focused on dynamic CPUpower at the expense of ignoring other power components.
Dynamic labeling schemes for ordered XML based on type information
Authors: Damien K. Fisher, Franky Lam, William M. Shui, Raymond K. Wong
Venue: Proceedings of the 17th Australasian Database Conference - Volume 49 (2006)

With the increasing popularity of XML, there arises the need for managing and querying information in this form. Several query languages, such as XQuery, have been proposed which return their results in document order. However, most recent efforts focused on query optimization have either disregarded order or proposed static schemes in which updates are not handled efficiently. Some dynamic labelling schemes have been proposed but they do not consider type information that is usually available with the XML documents or maintained by the database system. This paper presents theoretically sound algorithms for maintaining the well-known region algebra labeling schemes, which can take advantage of type information, often present in XML documents.
Improved SMVQ Scheme with Edge-Directed Prediction
Authors: Chin-Chen Chang, Yi-Hui Chen, Kuan-Ming Li
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

The side-match vector quantization (SMVQ) technique has been widely used in various image compression and hiding techniques. It effectively decreases the bit rates of image with a great compressed quality. However, the prediction is not precise while the variation between the encoded block and its neighboring upper and left blocks is large. Due to the imprecision will cause derailment problem, to solve this problem, this paper proposed an EDPSMVQ scheme which is based on edge-directed prediction (EDP) to precisely predict the side-match pixels avoiding the derailment problem. The experimental results showed that the scheme achieves a high compression ratio with an acceptable image quality.
Temporally parallel coupling of discrete simulation systems with virtual reality systems
Authors: Steffen Strassburger, Thomas Schulze, Marco Lemessi, Gordon D. Rehn
Venue: Proceedings of the 37th conference on Winter simulation (2005)

The coupling of commercial discrete simulation systems with virtual reality (VR) systems opens new possibilities for the temporal interplay of product and process design. Among the possibilities is establishing virtual training centers aimed at shortening product ramp-up times. Up to now, coupling has only been employed sporadically because of the need to preserve the autonomy of the tools used. This paper focuses on the problems of synchronization as one of the important basic tasks when coupling discrete simulation and VR systems. Existing techniques of synchronization are examined for their suitability for coupling and a method of synchronization based on self-adapting buffer sizes is described.
The situated effects of awareness in distributed collaborative learning: interactive 3D an example
Authors: Annita Fjuk, Ingeborg Krange
Venue: Proceedings of the 1999 conference on Computer support for collaborative learning (1999)

Recent research in CSCL (Computer Supported Collaborative Learning) and CSCW (Computer Supported Co-operative Work) has provided insights into how various forms of awareness information should be computer supported to enable collaboration in distributed environments. Based on an understanding of learning as mediated by social interaction and artefacts (such as various forms of information and communication technologies), we argue that the effects of task and workspace awareness are highly situated with respect to collaborative knowledge construction. Some issues from this line of consideration are illustrated by examples gathered from designs of a distributed interactive 3D application.
Delay-tolerant broadcasting
Authors: Gunnar Karlsson, Vincent Lenders, Martin May
Venue: Proceedings of the 2006 SIGCOMM workshop on Challenged networks (2006)

There are many asynchronous communication situations for which the prevalent continuous connectivity paradigm is not needed. Communication with a fair delay tolerance may instead be provided by intermittent store-and-forwarding between nodes. This paper proposes a design for an open, receiver-driven broadcasting system that relies on delay-tolerant forwarding of data chunks through mobility of wireless nodes. The system provides public broadcast channels, which can be openly used for both transmission and reception. We show by simulation under benchmark mobility models that a delay-tolerant broadcast channel has both a sufficiently high throughput and reach to be interesting as a competitive alternative to the regulated wireless broadcast channel. We also present the design of, and experiences with, a proof-of-concept prototype.
Genetic Algorithm SAmple Consensus (GASAC) - A Parallel Strategy for Robust Parameter Estimation
Authors: Volker Rodehorst, Olaf Hellwich
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

A new robust estimator based on an evolutionary optimization technique is proposed. The general hypothesizeand- verify strategy accelerates the parameter estimation substantially by systematic trial and parallel evaluation without the use of prior information. The method is evaluated by estimation of multi-view relations, i.e. the fundamental matrix. Additionally, some results for the trifocal geometry are presented. However, the general methodology could be used for any problem in which relations can be determined from a minimum number of points.
Cortical-Hippocampal Auditory Processing Identified by Magnetoencephalography
Authors: Nobuyuki Nishitani, Takashi Nagamine, Naohito Fujiwara, Shogo Yazawa, Hiroshi Shibasaki
Venue: Journal of Cognitive Neuroscience (1998)

We recorded magnetic and electrical responses simultaneously in an auditory detection task to elucidate the brain areas involved in auditory processing.Target stimuli evoked magnetic fields peaking at approximately the same latency of around about 400 msec (M400) over the anterior temporal, superior temporal, and parietal regions on each hemisphere. Equivalent current dipoles (ECDs) were analyzed with a time-varying multidipole model and superimposed on each subject's mag netic resonance image (MRI). Multiple independent dipoles located in the superior temporal plane, inferior parietal lobe, and mesial temporal region best accounted for the recorded M400 fields. These findings suggest that distributed activity in multiple structures including the mesial temporal, superior temporal, and inferior parietal regions on both hemispheres is engaged during auditory attention and memory updating.
The Response of Left Temporal Cortex to Sentences
Authors: R. Vandenberghe, A. C. Nobre, C. J. Price
Venue: Journal of Cognitive Neuroscience (2002)

The meaning of a sentence differs from the sum of the meanings of its constituents. Left anterior temporal cortex responds to sentences more strongly than to unconnected words. We hypothesized that the anterior temporal response to sentences is due to this difference in meaning (compositional semantics). Using positron emission tomography (PET), we studied four experimental conditions (2 &times; 2 factorial design): In one condition, subjects read normal sentences. In a second condition, they read grammatically correct sentences containing numerous semantic violations (semantically random sentences). In a third condition, we scrambled the word order within the normal sentences, and, in a fourth condition, the word order was scrambled within the semantically random sentences. The left anterior temporal pole responded strongly to sentences compared to scrambled versions of sentences. A similar although weaker response occurred in the left anterior superior temporal sulcus and the left posterior middle temporal gyrus. A subset of voxels within the left anterior temporal pole responded more to semantically random sentences and their scrambled versions than to normal sentences and the corresponding scrambled versions (main effect of semantic randomness). Finally, the grammatical and the semantic factor interacted in a subset of voxels within the anterior temporal pole: Activity was higher when subjects read normal sentences compared to their scrambled versions but not for semantically random sentences compared to their corresponding scrambled versions. The effects of grammar and meaning and, most importantly, the interaction between grammatical and semantic factors are compatible with the hypothesis that the left anterior temporal pole contributes to the composition of sentence meaning.
Factor Graphs for Region-based Whole-scene Classification
Authors: Matthew R. Boutell, Jiebo Luo, Christopher M. Brown
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Semantic scene classification is still a challenging problem in computer vision. In contrast to the common approach of using low-level features computed from the scene, our approach uses explicit semantic object detectors and scene configuration models. To overcome faulty semantic detectors, it is critical to develop a region-based, generative model of outdoor scenes based on characteristic objects in the scene and spatial relationships between them. Since a fully connected scene configuration model is intractable, we chose to model pairwise relationships between regions and estimate scene probabilities using loopy belief propagation on a factor graph. We demonstrate the promise of this approach on a set of over 2000 outdoor photographs, comparing it with existing discriminative approaches and those using low-level features.
Modeling the Content of Adaptive Web-Based System Using an Ontology
Authors: Maria Bielikova, Michal Moraveik
Venue: Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization (2006)

Adaptive web-based applications deal with an adaptation of information presentation (the content or navigation) employing goals and other characteristics of a user or context of the presentation. By increasing the number of existing adaptive applications the need for more effective creating and sharing the content among adaptive systems rises. In this paper we present a method aimed at creating the content represented by ontology and exporting it into existing adaptive application. The ontology includes a domain model and domain dependent part of a user model. We evaluated the method using the domain ontology of teaching programming by examples. We claim that the content and structure of the adaptive application represented by the ontology is suitable for sharing and reusing when defining new applications.
Extensibility and Reuse in an Agent-Based Dialogue Model
Authors: Anh Nguyen, Wayne Wobcke
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Most existing dialogue systems have been developed specifically for some predefined task domain(s), thus the issues of extensibility and reuse of the dialogue model are often not given much attention. In this paper, we describe our work on extending an existing agent-based dialogue model for e-mail management to further handle the calendar task domain. We discuss how our approach can achieve modularity of the dialogue model at the level of agent plans, facilitating the reuse of discourse-level plans and enabling the extension of the dialogue model to cover different application domains.
Critical Factors for Successful Implementation of ERP in China
Authors: Dong Cheng, Feiyan Deng, Hongtao Li
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

This study propounds a theoretical model for successful implementation of Enterprise Resource Planning (ERP) under China's environment, and the authors analyze the model empirically through structural equation modeling. The authors find that strategically IT planning abilities, leadership's support, the skills of IT section, business processing abilities, learning abilities, and change management abilities have a significant positive impact on successful ERP implementation, but project management abilities, training abilities not. Management implications and further research directions are also discussed.
Perseveration and Strategy in a Novel Spatial Self-Ordered Sequencing Task for Nonhuman Primates: Effects of Excitotoxic Lesions and Dopamine Depletions of the Prefrontal Cortex
Authors: P. Collins, A. C. Roberts, R. Dias, B. J. Everitt, T. W. Robbins
Venue: Journal of Cognitive Neuroscience (1998)

Damage to the prefrontal cortex disrupts the performance of self-ordered sequencing tasks, although the precise mechanisms by which this effect occurs is unclear. Active working memory, inhibitory control, and the ability to generate and perform a sequence of responses are all putative cognitive abilities that may be responsible for the impaired performance that results from disruption of prefrontal processing. In addition, the neurochemical substrates underlying prefrontal cognitive function are not well understood, although active working memory appears to depend upon an intact mesocortical dopamine system. The present experiments were therefore designed to evaluate explicitly the contribution of each of these abilities to successful performance of a novel spatial self-ordered sequencing task and to examine the contribution of the prefrontal cortex and its dopamine innervation to each ability in turn. Excitotoxic lesions of the prefrontal cortex of the common marmoset profoundly impaired the performance of the self-ordered sequencing task and induced robust perseverative responding. Task manipulations that precluded perseveration ameliorated the effect of this lesion and revealed that the ability to generate and perform sequences of responses was unaffected by excitotoxic damage to prefrontal cortex. In contrast, large dopamine and noradrenaline depletions within the same areas of prefrontal cortex had no effect on any aspect of the self-ordered task but did impair the acquisition of an active working memory task, spatial delayed response, to the same degree as the excitotoxic lesion. These results demonstrate that a lesion of the ascending monoamine projections to the prefrontal cortex is not always synonymous with a lesion of the prefrontal cortex itself and thereby challenge existing concepts concerning the neuromodulation of prefrontal cognitive function.