ppxscal/embedding_network huggingface dataset:
Real-World Ubicomp Deployments: Lessons Learned
Authors: Armando Fox, Nigel Davies, Eyal de Lara, Mirjana Spasojevic, William Griswold
Venue: IEEE Pervasive Computing (2006)

Among the many branches of computer science, ubiquitous computing enjoys an unusually distinguished history of creating and deploying prototypes. Why is this? A tempting answer is that many ubicomp researchers and practitioners have backgrounds in subjects such as HCI and systems--areas with a strong focus on learning from deploying working prototypes. However, a more compelling answer might be that ubicomp, unlike almost every other subspecialty with the exception of HCI, is about embedding computing into existing human systems. This introduction is part of a special issue on Real-World Deployments.
Particle Swarm Optimization for Control of Nonlinear Dynamics
Authors: Jiann-Horng Lin
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

Chaos control refers to any form of manipulation of chaotic dynamical behavior exhibited by complex nonlinear systems. A chaotic system in general cannot be made to converge to a freely evolving desired trajectory, whether periodic or chaotic, because of the inherent unpredictability of the system. The control of chaos in this context consists of forcing the system to evolve along the desired trajectory. Control of these systems is difficult because in these systems the natural tendency of nearby trajectories is to diverge exponentially in phase space, due to the sensitive dependence on initial conditions. A new approach to particle motion in swarm optimization is developed for control of chaotic systems.
Examining the effects of customer service management (CSM) on perceived business performance via structural equation modelling: Research Articles
Authors: Bee Wah Yap, Kok Wei Khong
Venue: Applied Stochastic Models in Business and Industry (2006)

Structural equation modelling (SEM) is a useful multivariate technique to investigate the causal relationships between variables. This paper uses SEM to model the relationships between critical success factors (CSFs) of business process reengineering (BPR) implementations, customer service management (CSM) and perceived business performance (PBP) in Malaysian banking institutions. SEM results show that Management Competence has significant positive effects on PBP and CSM. Information technology (IT) infrastructure capabilities has significant effects on CSM but statistically insignificant (but positive) effect on PBP. Similarly Effective Process Redesign has statistically insignificant (but positive) effect on CSM and PBP. Results also show that CSM has a positive and significant association with PBP. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Adaptive Hybrid Broadcast for Data Dissemination in Time-Constrained Asymmetric Communication Environments
Authors: Jesus Fernandez-Conde, Daniel Mozos
Venue: Proceedings of the 32nd EUROMICRO Conference on Software Engineering and Advanced Applications (2006)

The demand for efficient, scalable and cost-effective information servers for mobile users is rapidly growing. However, none of the existing service approaches integrates all the characteristics needed to perform efficiently in a real-world, time-constrained asymmetric communication environment. Most of the related research focuses on push-based or pull-based broadcast schemes. In this paper we present an adaptive hybrid data dissemination model that takes into account bandwidth restrictions in downlink and uplink channels, dynamic user access patterns and time constrains associated with data. We show that our approach utilizes the limited bandwidth and computational resources adequately in order to minimize the number of deadlines missed. Performance is evaluated by simulation.
Researching on The Method and Technology of Creating Temporal Categories for an Ontology of Time
Authors: Xu Ying, Xu Fu-yuan
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

In this paper the problem of how a robotic agent can create and maintain an ontology in the domain of time is addressed. By an ontology, a mechanism is described that enables a robotic agent to create temporal categories for conceptualizing the world. The creation of a new category is triggered when the agent is unable to temporally distinguish an event from the other events in the context using already adopted categories. In our paper, we firstly give some definitions including definitions for discriminating expressions and for the discrimination game. Next an algorithm is presented for constructing discriminating expressions by stating this problem as a general search problem. And then, it is shown how this algorithm can also be used to create new temporal categories. This is different from most other approaches where ontological categories are defined by humans and the ontologies are fixed in advance.
Adaptive separation of independent sources: a deflation approach
Authors: N. Delfosse, P. Loubaton
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

In this paper, we address the adaptive blind source separation of independent sources using higher order statistics. Although this problem was considered in numerous works, none of the existing algorithms is guaranteed to converge to a relevant solution. Here, we propose a new separation scheme whose convergence is proved analytically. It is based on the observation that it is possible to extract one of the source signals by a simple algorithm obtained by extending to the source separation context some of the ideas developed by Shalvi-Weinstein in the framework of blind deconvolution. A low cost deflation procedure allows the extraction of the other source signals by means of the same algorithm. Simulation results illustrate the behaviour of this separation method.
Asynchronies in the Development of Electrophysiological Responses to Motion and Color
Authors: Teresa V. Mitchell, Helen J. Neville
Venue: Journal of Cognitive Neuroscience (2004)

Recent reports have documented greater plasticity in the dorsal visual stream as compared with the ventral visual stream. This study sought to test the hypothesis that this greater plasticity may be related to a more protracted period of development in the dorsal as compared with the ventral stream. Age-related effects on event-related potentials (ERPs) elicited by motion and color stimuli, designed to activate the two visual streams, were assessed in healthy individuals aged 6 years through adulthood. Although significant developmental effects were observed in amplitudes of ERPs to both color and motion stimuli, marked latency effects were observed only in response to motion. These results provide support for the hypothesis that the dorsal stream displays a longer developmental time course across the early school years than the ventral stream. Implications for neural and behavioral plasticity are discussed.
Analysis and Classification of Proteomics Data, a Case Study
Authors: P. H. Guzzi, M. Cannataro, M. Gaspari, T. Mazza, B. Quaresima, P. Veltri, F. S. Costanzo
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

This paper presents a methodology for analyzing and classifying proteins identified in biological samples. In particular, such methodology consists in normalizing and classifying quantity and quality of proteins identified by using tandem mass spectrometry. A case study is considered and a classification experiment for protein discriminant is also reported.
Escrow-free encryption supporting cryptographic workflow
Authors: S. S. Al-Riyami, J. Malone-Lee, N. P. Smart
Venue: International Journal of Information Security (2006)

Since Boneh and Franklin published their seminal paper on identity based encryption (IBE) using the Weil pairing, there has been a great deal of interest in cryptographic primitives based on elliptic-curve pairings. One particularly interesting application has been to control access to data, via possibly complex policies. In this paper we continue the research in this vein. We present an encryption scheme such that the receiver of an encrypted message can only decrypt if it satisfies a particular policy chosen by the sender at the time of encryption. Unlike standard IBE, our encryption scheme is escrow free in that no credential-issuing authority (or colluding set of credential-issuing authorities) is able to decrypt ciphertexts itself, providing the users' public keys are properly certified. In addition we describe a security model for the scenario in question and provide proofs of security for our scheme (in the random oracle model).
Radio Resource Management Algorithm Based on Cross-Layer Design for OFDM Systems
Authors: Xiao-hui Li, Ming Han, Ke-chu Yi, Chang-xing Pei, Nai-an Liu
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

Based on the cross-layer design, a novel resource allocation algorithm for multi-user Orthogonal Frequency Division Multiplexing (OFDM) system is presented in this paper. The algorithm allocates the resource by considering not only the Channel State Information (CSI), but also the Quality of Service (QoS) requirement of the users, including the delay and the throughput. The performance of the algorithm has been verified by theoretical analysis and simulations. The results demonstrate that, using the algorithm, the spectral efficiency can approach to the achievable capacity obtained by the water-filling algorithm under the fairness constrain among the users.
Modeling and simulation of hardware/software systems with CD++
Authors: Ezequiel Glinsky, Gabriel Wainer
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Modeling and simulation (M&S) methodologies can be useful in the development of hardware-in-the-loop applications. CD++ is a toolkit with support for real-time model execution that implements DEVS, a sound, formal M&S framework allowing hierarchical, modular model composition and component reuse. We present a methodology that uses CD++ to develop hybrid hardware/software systems. The technique enables incremental transition from the simulated models to the actual hardware counterparts, supports experimental frameworks to facilitate testing in a risk-free environment, encourages component reuse, and allows developing models with different levels of abstraction. CD++ can reduce cost and time-to-market of hardware-in-the-loop applications, and preserves the benefits of a formal M&S methodology like DEVS.
Enabling e-Research in Combustion Research Community
Authors: Tran Vu Pham, Peter M. Dew, Lydia MS Lau, Michael J. Pilling
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

This paper proposes an application of the Collaborative e-Science Architecture (CeSA) to enable e-Research in combustion research community. A major problem of the community is that data required for constructing modelling might already exist but scattered and improperly evaluated. That makes the collection of data for constructing models difficult and time-consuming. The decentralised P2P collaborative environment of the CeSA is well suited to solve this distributed problem. It opens up access to scattered data and turns them to valuable resources. Other issues of the community addressed here are the needs for computational resources, storages and interoperability amongst different data formats can also be addressed by the use of Grid environment in the CeSA.
Modulation of Motor Excitability during Speech Perception: The Role of Broca's Area
Authors: Kate Watkins
Venue: Journal of Cognitive Neuroscience (2004)

Studies in both human and nonhuman primates indicate that motor and premotor cortical regions participate in auditory and visual perception of actions. Previous studies, using transcranial magnetic stimulation (TMS), showed that perceiving visual and auditory speech increased the excitability of the orofacial motor system during speech perception. Such studies, however, cannot tell us which brain regions mediate this effect. In this study, we used the technique of combining positron emission tomography with TMS to identify the brain regions that modulate the excitability of the motor system during speech perception. Our results show that during auditory speech perception, there is increased excitability of motor system underlying speech production and that this increase is significantly correlated with activity in the posterior part of the left inferior frontal gyrus (Broca's area). We propose that this area ''primes'' the motor system in response to heard speech even when no speech output is required and, as such, operates at the interface of perception and action.
Realization of correlated chaotic signals
Authors: S. A. Talwalkar, S. M. Kay
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

We show how to realize one-dimensional chaotic signals with the given first order autoregressive (AR(1)) autocorrelation function (ACF) of the form r[k]=r[0]a/sup k/, where 0
Blind Watermarking in Contourlet Domain with Improved Detection
Authors: M. Jayalakshmi, S. N. Merchant, U. B. Desai
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

This paper presents a novel method of blind image watermarking in contourlet domain. We have used spread spectrum technique for additive watermark embedding. A correlation detector is used to detect the embedded pseudorandom sequence. The binary logo thus retrieved proves authenticity of the image. The similarity of the retrieved binary logo with the original embedded logo is veriJied using correlation technique. Post processing of the retrieved logo gives better visual effects, further aiding threshold selection for detection. We have verijied the robustness of the proposed method against dzrerent attacks including StirMark attack. The proposed method is compared with a wavelet based blind technique and the results prove that contourlet based technique gives better robustness, under similar embedding conditions.
A mobile multimodal dialogue system for public transportation navigation evaluated
Authors: Topi Hurtig
Venue: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services (2006)

As the technical capabilities of latest mobile devices are combined with mobile broadband internet access, we are ready to make use of free and natural speech in mobile services by utilizing optional and complementary means of input. In these kinds of multimodal dialogue systems the possibility to disambiguate between several input and also output modalities can substantially increase intelligibility of dialogues and robustness of interaction. The combination of natural speech and tactile gestures as input mediums, especially in map-based systems, have shown promising results, although mature commercial applications are still to be developed. In this paper we present the MUMS Multimodal Route Navigation System, which allows users of a mobile device to present public transportation route queries with any preferred combination of speech and pen input, with the system providing navigational information via speech and graphical map representations. We also present the results of a user study, with focus on the users' subjective experience of the MUMS system and especially its multimodal qualities.
Posttraining Sleep Enhances Automaticity in Perceptual Discrimination
Authors: Mercedes Atienza, Jose L. Cantero, Robert Stickgold
Venue: Journal of Cognitive Neuroscience (2004)

Perceptual learning can develop over extended periods, with slow, at times sleep-dependent, improvement seen several days after training. As a result, performance can become more automatic, that is, less dependent on voluntary attention. This study investigates whether the brain correlates of this enhancement of automaticity are sleep-dependent. Event-related potentials produced in response to complex auditory stimuli were recorded while subjects' attention was focused elsewhere. We report here that following training on an auditory discrimination task, performance continued to improve, without significant further training, for 72 hr. At the same time, several event-related potential components became evident 48-72 hr after training. Posttraining sleep deprivation prevented neither the continued performance improvement nor the slow development of cortical dynamics related to an enhanced familiarity with the task. However, those brain responses associated with the automatic shift of attention to unexpected stimuli failed to develop. Thus, in this auditory learning paradigm, posttraining sleep appears to reduce the voluntary attentional effort required for successful perceptual discrimination by facilitating the intrusion of a potentially meaningful stimulus into one's focus of attention for further evaluation.
A Macro model of frequently changing mobile networks to perform flow and access control
Authors: N. F. Maxemchuk, Congzhou Zhou
Venue: Mobile Networks and Applications (2006)

The area covered by a mobile ad hoc network consists of obstacles that inhibit transmission and areas where communications can take place. Physical structures, such as buildings, that block transmission, or lakes, where forwarding nodes cannot be located, are permanent obstacles. Temporary obstacles are created as mobile nodes enter or leave an area. Our hypothesis is that the spaces between nearby obstacles are bottlenecks that inhibit the flows in the network. We partition the network into areas that are encompassed by obstacles and bottlenecks. All of the nodes in an area are treated as a single super node, and the bottlenecks between areas are the links between the super nodes. As individual nodes move, the flows and paths in the model change more slowly than the paths and flows between the individual nodes. We apply flow control algorithms to the model and perform admission control within a super node based on the flows that are assigned by the flow control algorithm. We apply the model to the Columbia University campus, and use max-min, fair bottleneck flow control to assign the flows. Our hypothesis is verified for this example.
The Application of User Log for Online Business Environment using Content-Based Image Retrieval System
Authors: Kien-Ping Chung, Sandy Chong, Chun Che Fung, Jia Bin Li
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems. This is largely due to the capability of inter-query approach to enable learning from the retrieval patterns of previous query sessions. However, much of the research works in this field have been focusing on analyzing image retrieval patterns stored in the database. This is not suitable for a dynamic environment such as the World Wide Web (WWW) where images are constantly added or removed. A better alternative is to use an image's visual features to capture the knowledge gained from the previous query sessions. Based on the previous work [1], the aim of this paper is to propose a framework of inter-query learning for the WWW-CBIR systems. Such framework can be extremely useful for those online companies whose core business involves providing multimedia content-based services and products to their customers.
Performance prediction of large-scale parallel discrete event models of physical systems
Authors: Kalyan S. Perumalla, Richard M. Fujimoto, Prashant J. Thakare, Santosh Pande, Homa Karimabadi, Yuri Omelchenko, Jonathan Driscoll
Venue: Proceedings of the 37th conference on Winter simulation (2005)

A virtualization system is presented that is designed to help predict the performance of parallel/distributed discrete event simulations on massively parallel (supercomputing) platforms. It is intended to be useful in experimenting with and understanding the effects of execution parameters, such as different load balancing schemes and mixtures of model fidelity. A case study of the virtualization system is presented in the context of plasma physics simulations, highlighting important virtualization challenges and issues, such as reentrancy and synchronization in the virtual plane, and our corresponding solution approaches. A trace-based prediction methodology is presented, and is evaluated with a 1-D hybrid collisionless shock model simulation, with the predicted performance being validated against one obtained in actual simulation. Predicted performance measurements show excellent agreement with actual performance measurements on parallel platforms containing up to 512 CPUs.
Chaotic Synchronization of MPEG-7 Descriptors for Interpretation in Surveillance Video
Authors: Hanif Azhar, Aishy Amer
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

The research in video surveillance is moving towards semantic (i.e., meaning) analysis of the scene contents through high-level descriptions. Chaos theory has been reported to simulate partial functions (i.e., neuronal activity in brain) of the Human Visual System. In this work, we propose a chaotic synchronization-based method to identify semantic entities in surveillance scenes. MPEG-7 visual Descriptors(Ds) are used to extract low-level features of video objects. These objects are generated per video frame by segmentation and tracking. The chaotic synchronization is used to perform feature binding (i.e., group semantically relevant feature elements) from these Ds. The objective is to search for unique numeric descriptions (based on low-level features) to identify semantic entities. The idea of a semantic space is introduced to explain feature binding from multiple features spaces. Subjective result evaluation of our results show the existence of such numeric description for related semantic entities (e.g., male, female, enter, deposit, take object, two person meet).
A New Communication Architecture Based on the Spatial Information Field Model
Authors: Haibin Liu
Venue: Proceedings of the International Conference on Systems and Networks Communication (2006)

In this paper, we propose a hybrid communication architecture through the integration of network and field models. The architecture is based on the spatial information field model that is defined in a four dimensional time-space, and consists of numbers of independent IAs (intelligent agents). Each IA has 7 different communication and information processing patterns. Through different space allocation and physical combination of network and field communication modes of N IAs, we construct a four dimensional and time-related spatial information field (SIF) model, which is a dynamic system and does not have any central control unit. By using the SIF model, the communication mechanism in terms of information processing is discussed using the modern global war simulation concept as an example. The discussion concludes that the proposed architecture can provide a unified solution for the current different communication models and methods.