ppxscal/embedding_network huggingface dataset:
Development of a Neuron Based Internet Game Driven by a Brain-Computer Interface System
Authors: Unjoo Lee, Seung Hoon Han, Han Sup Kim, Young Bum Kim, Hyun Gi Jung, Hyun-joo Lee, Yiran Lang, Daehwan Kim, Meiying Jin, Jungwha Song, Sungho Song, Chang Geun Song, Hyung-Cheul Shin
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

Have you ever imagined that you could play an internet game against an animal like a rat? How would you feel if you lose? In the present study, we have developed an internet game driven by and linked to a brain-computer interface (BCI) system. The BCI system translated real-time neuronal activities from prefrontal cortex (PFC), or hippocampaus (CA1) of a rat into external device control commands and used them to drive a neuron based internet game series called RaviDuel.
A mathematical analysis of the resonance of the finite thin slots
Authors: M. Clausel, M. Duruflé, P. Joly, S. Tordeux
Venue: Applied Numerical Mathematics (2006)

In this article we discuss the asymptotic behaviour of the solution of a wave propagation problem in a domain including a thin slot. Several convergence rates are obtained and illustrated by numerical examples.
Functional Programming on a Stack-Based Embedded Processor
Authors: Andrew J. Harris, John R. Hayes
Venue: Proceedings of the 2nd IEEE International Conference on Space Mission Challenges for Information Technology (2006)

This paper describes the implementation of a functional programming language interpreter. The interpreter is written in Forth and runs on any Forth system, including a novel processor called the Scalable Configurable Instrument Processor (SCIP), designed at the Johns Hopkins Applied Physics Laboratory. The combination of this novel processor, Forth, and functional programming provides a layering of simple technologies that yields a unique programming and execution environment. The SCIP processor also has a clear transition path to use in space-borne applications.
Media streaming synchronisation and video interaction: a survey
Authors: R. Y. D. Xu, R. Wang, N. Parameswaran, J. S. Jin
Venue: Selected papers from the 2002 Pan-Sydney workshop on Visualisation - Volume 22 (2003)

Digital video has become an important element in a multimedia package. Most of the traditional video players and the video formats they support only provide ways of linear interaction, ie, a user can play the video in forward and backward direction or jump to a certain frame number indicated by a sequence or time on a random access device. This kind of linear interactions is also restricted to local content, ie, within a single video stream. Many attempts have been made to provide more flexible way to interactive with video. Such interaction, similar to hypertext systems available on the World Wide Web, provides multi-dimensional access cross various media in a distributed environment.This paper discusses the fundamentals of video interaction, reviews several approaches of non-linear interaction of video streams and multimedia synchronisation, and presents our view of the direction of video interaction.
Robust AAM Fitting by Fusion of Images and Disparity Data
Authors: Joerg Liebelt, Jing Xiao, Jie Yang
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

Active Appearance Models (AAMs) have been popularly used to represent the appearance and shape variations of human faces. Fitting an AAM to images recovers the face pose as well as its deformable shape and varying appearance. Successful fitting requires that the AAM is sufficiently generic such that it covers all possible facial appearances and shapes in the images. Such a generic AAM is often difficult to be obtained in practice, especially when the image quality is low or when occlusion occurs. To achieve robust AAM fitting under such circumstances, this paper proposes to incorporate the disparity data obtained from a stereo camera with the image fitting process. We develop an iterative multi-level algorithm that combines efficient AAM fitting to 2D images and robust 3D shape alignment to disparity data. Experiments on tracking faces in low-resolution images captured from meeting scenarios show that the proposed method achieves better performance than the original 2D AAM fitting algorithm. We also demonstrate an application of the proposed method to a facial expression recognition task.
Quasi-Monte Carlo methods in finance
Authors: Pierre L'Ecuyer
Venue: Proceedings of the 36th conference on Winter simulation (2004)

We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variance-reduction techniques, and the main classes of constructions underlying their implementations: lattice rules, digital nets, and permutations in different bases. QMC methods are designed to estimate integrals over the s-dimensional unit hypercube, for moderate or large (perhaps infinite) values of s. In principle, any stochastic simulation whose purpose is to estimate an integral fits this framework, but the methods work better for certain types of integrals than others (e.g., if the integrand can be well approximated by a sum of low-dimensional smooth functions). Such QMC-friendly integrals are encountered frequently in computational finance and risk analysis. We give examples and provide computational results that illustrate the efficiency improvement achieved.
A Model that Accounts for Activity Prior to Sensory Inputs and Responses During Matching-to-Sample Tasks
Authors: Sohie Lee Moody, Steven P. Wise
Venue: Journal of Cognitive Neuroscience (2000)

Neural network models were examined during delayed matching-to-sample tasks (DMS), and neurons in a monkey's prefrontal cortex were studied during the performance of comparable tasks. In DMS, various input stimuli follow a sample stimulus, and an output should occur whenever the sample reappears. Our previous models have been restricted to certain kinds of inputs, outputs, and temporal patterns. Here, we generalized the models by training them on both spatial and nonspatial inputs, spatial and nonspatial outputs, and both fixed and variable interstimulus intervals. Two versions of DMS were presented to both the model and the monkey, both involving nonspatial samples: (1) Two stimuli simultaneously appeared at a variable interval after the sample; and (2) A series of single stimuli appeared at fixed intervals after the sample. Both versions required identical spatial responses, reflecting the direction (left or right) of the matching stimulus relative to a central origin. Thus, these two versions of DMS involved the same samples, memory, and responses, but established different response contexts. Our analysis focused on unit activity prior to stimuli, as well as that prior to responses, termed anticipatory and response-related activity, respectively. In both the model and the monkey, anticipatory activity occurred only for fixed interstimulus intervals. In the model, we could determine that anticipatory activity acted either like a filter to suppress inappropriate responses or it served to enhance the network's general readiness to respond. As for response-related activity, units in both the model and the monkey showed directional selectivity and had a strong dependence on response context. In the model, we could show that this activity contributed both to the suppression of inappropriate responses and to the generation of correct ones. None of the model's hidden units contributed exclusively to computing the direction of match output. Instead, their response-related activity contributed to the computation of both the match decision and the correct response direction.
Cryptography, Law Enforcement, and Mobile Communications
Authors: Vanessa Gratzer, David Naccache
Venue: IEEE Security and Privacy (2006)

In this issue's installment of Crypto Corner, we review the handset-related methods law enforcement agencies can use to gather evidence during criminal investigations. This article's goal is twofold: explain how law enforcement agencies gather handset-based evidence and increase the community's awareness of the digital footprints handsets leave behind.
A Vision for Supporting Autonomous Navigation in Urban Environments
Authors: Vason P. Srini
Venue: Computer (2006)

The mobile sensor network for autonomous navigation systems can support autonomous modern vehicles equipped with actuators for steering, throttle, and brake. The system can support older vehicles as well if they are equipped with basic sensors and an extended smart phone.
Memory Generation and Power Distribution In SOC
Authors: Qing K. Zhu
Venue: Proceedings of the 9th EUROMICRO Conference on Digital System Design (2006)

This paper describes the on-chip SRAMs design flow in one SOC chip. We show a model to estimate the coupling noise in the existence of power rings around SRAMs. SRAM blocks usually use the lower level metals and the top metals over the SRAM could be used for power distribution and global signals. Power noise has the global impact on SRAMs and chip performance. We discuss the full chip power grid planning methodology, including power rings and power strap lines over SRAM blocks, in order to meet the power noise budget.
Student-Based Case Studies in Software Communication
Authors: Charles Wallace, Tom Vosecky, Leroy Steinbacher, Anne Mareck, Robert R. Johnson, Ann Brady
Venue: Proceedings of the 19th Conference on Software Engineering Education and Training Workshops (2006)

Producing software that lends itself to meaningful, productive use requires engagement with a wide array of stakeholders, few of whom speak the language of formal software documentation. To make students aware of the communication issues surrounding software development, and to instruct them in strategies for addressing these issues, we have been constructing online multimedia case studies, which draw from the real experiences of undergraduate students in their capstone projects. We report on the structure and content of these case studies, and on our approach to building them.
Service Provenance based Abstraction of Grid Application Knowledge
Authors: Ke Xu, Yuexuan Wang, Cheng Wu
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

Grid infrastructure is becoming a platform for the design, implementation and execution of various scientific experiments. Consequently it forms a hidden storehouse of application knowledge about historically how a grid application was designed and performed (e.g. the used approaches, required data, etc). This work addresses the issue of abstracting the application knowledge in grid based on service provenances. Our method is composed by the steps of providing a formal description for detailed service provenances; deducing the set of service provenance descriptions that indicates how a desired application result can be obtained; abstracting and visualizing the deduced result to facilitate the understanding, sharing and reuse of corresponding application knowledge. The implementation status of our method is also reported.
Computational prediction of novel components of lung transcriptional networks
Authors: M. Juanita Martinez, Andrew D. Smith, Bilan Li, Michael Q. Zhang, Kevin S. Harrod
Venue: Bioinformatics (2007)

Motivation: Little is known regarding the transcriptional mechanisms involved in forming and maintaining epithelial cell lineages of the mammalian respiratory tract. Results: Herein, a motif discovery approach was used to identify novel transcriptional regulators in the lung using genes previously found to be regulated by Foxa2 or Wnt signaling pathways. A human--mouse comparison of both novel and known motifs was also performed. Some of the factors and families identified here were previously shown to be involved epithelial cell differentiation (ETS family, HES-1 and MEIS-1), and ciliogenesis (RFX family), but have never been characterized in lung epithelia. Other unidentified over-represented motifs suggest the existence of novel mammalian lung transcription factors. Of the fraction of motifs examined we describe 25 transcription factor family predictions for lung. Fifteen novel factors were shown here to be expressed in mouse lung, and/or human bronchial or distal lung epithelial tissues or lung epithelial cell lineages. Availability: DME: http://rulai.cshl.edu/dme. MATCOMPARE: http://rulai.cshl.edu/MatCompare. MOTIFCLASS is available from the authors. Contact: kharrod@lrri.org Supplementary information:http://www.lrri.org/Martinez2006motifsSupplement/ and Bioinformatics Online.
Visuospatial Attention Shift and Motor Responses in Cerebellar Disorders
Authors: Shuhei Yamaguchi, Haruhisa Tsuchiya, Shotai Kobayashi
Venue: Journal of Cognitive Neuroscience (1998)

The cerebellum has been implicated in higher cognitive functions including learning, memory, and attention as well as its well-known role in motor programming. Recent studies have suggested that the cerebellum plays a role in shifts of attention. We investigated the contribution of the cerebellum to visuospatial attentional ability in a trial-by-trial cueing task involving the covert orienting of spatial attention. We recorded event-related evoked potentials (ERPs) and reaction times (RTs) in patients with cerebellar degenerative disorders affecting mainly the lateral cerebellum and compared them to agematched controls. The RT data demonstrated that both the cerebellar patients and control subjects responded to the valid cues faster than to the invalid cues for both the central and the peripheral cues. Consistent with the RT data, the ERP data showed a comparable generation of attention shift-related ne gativities during the cue-target interval for both the central and the peripheral cue experiments. The early negative component of the ERP to the target was also comparably modulated in both groups as a function of cue validity, suggesting efficient facilitation of sensory pathways by prior allocation of spatial attention to the cued place. Conversely,the late negative deflection preceding the imperative target stimulus and the late sustained positivity following target presentation, which reflect neural activities for response preparation and selection, were reduced in the cerebellar group. These findings suggest that the lateral cerebellum makes little contribution to visuospatial attention shift in either the voluntary or automatic modes and support a role of the lateral cerebellum in the neural system required for response preparation and selection.
The Quantitative Nature of a Visual Task Differentiates between Ventral and Dorsal Stream
Authors: Wim Fias, Patrick Dupont, Bert Reynvoet, Guy A. Orban
Venue: Journal of Cognitive Neuroscience (2002)

The aim of the present positron emission tomography (PET) study was to investigate how visual processing in dorsal and ventral streams depends on the quantitative nature of the task. In the same-different task, participants identified the presence of an orientation difference between two gratings, presented centrally in succession. In the quantification task, participants estimated the magnitude of the difference and compared it to a fixed standard. Detection of dimming of the fixation point was used as a control task. Visual input, motor responses, and performance were equated across tasks. Subtracting same-different from quantification yielded significant activation in the left superior parietal lobule and left ventral premotor cortex, consistent with results obtained in number-processing tasks. The reverse subtraction yielded activation in the right inferior temporal gyrus, in agreement with earlier results. These results demonstrate that a single attribute can be processed either in the ventral or dorsal stream, depending on the cognitive operations required by the tasks.
Equations with partial derivatives and differential equations used for simulating acausal pulses
Authors: C. Toma
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 4 (2003)

Some phenomena in physics (photonic echo) appears for an external observer as non-causal pulses suddenly emerging from an active medium (prepared by some other optical pulses) being hard to be simulated. It is shown that such functions can be put in correspondence with acausal pulses in physics (generated by the wave-equation considered on the length interval (0, 1) (an open set), starting at the initial moment of time from null initial conditions). Consequences for a possible control of such phenomena are also presented. 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
Source separation based on coupled single DOA estimation processors
Authors: M. Najar, M. A. Lagunas, A. I. Perez-Neira
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

The separation of sources from an array of sensors is addressed. Based on Kolmogorov's theorem, an adaptive algorithm is proposed to separate simultaneously all the unknown impinging sources on an aperture of sensors. This method solves the problem of simultaneous direction of arrival (angle of arrival) estimation and source beamforming in narrowband array processing. Kolmogorov's theorem is implemented by a network composed of two different stages: the inhibition and the optimization stages.
Spontaneous Hotspots: Sharing Context-Dependant Resources Using Bluetooth
Authors: Xavier Le Bourdon, Paul Couderc, Michel Banatre
Venue: Proceedings of the International Conference on Autonomic and Autonomous Systems (2006)

Although network connectivity is becoming ubiquitous thanks to global cellular networks, accessing multimedia resources is still expensive, and concurrent access to the same resources in dense urban areas can raise scalability issues. This would be typically the case for context-related resources, such as trailers in a movie theater. In this paper, we introduce a peer to peer protocol enabling cooperative download using Bluetooth. The idea is to balance over a set of users the download of common resources, in order to reduce the network load and cost. The protocol can also be used for locally sharing resources between the units.
Java Applets Copy Protection by Steganography
Authors: Mohammad Shirali-Shahreza
Venue: Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia (2006)

Following the expansion of Internet, many software were produced that could launch through Internet without prior installation on computers. This included game software and software that deal with financial affairs. These softwares are mainly in Java language and can be found on web pages as Java Applets. Some software owners want that their products only able to execute through their own web pages so that no one could put them on other web pages. In this paper, a new method has been presented to protect Java Applets from copying by using "Steganography in HTML web pages" method. In this method, a special 8-character string is hidden in the HTML page by a secret key. The string and the secret key are put within the Java Applet. After execution, the Java Applet extracts data from the HTML page by using the secret key. If the extracted data is the same as the 8-letter string, we can be sure that the Java Applet lies in its original web page and no copying is taken place. This project is implemented by Java programming language.
Extending Instant Messaging to Provide Pervasive Personal Communication
Authors: Wei Li, Fredrik Kilander, Carl Gustaf Jansson
Venue: Proceedings of the International Workshop on System Support for Future Mobile Computing Applications (2006)

This paper proposes a personal software architecture to provide a user with a pervasive communication capability. The core of this architecture is a Personal Communication Server (PCS) which bridges between different Instant Messaging networks and extends them with a unified access to the user. A SIP-based implementation of such a communication server is presented, which solves various interoperability problems, and also provides many value-added features, e.g., extended user presence with location information, adaptive communication, better privacy protection, etc. This implementation enables various existing SIPcompatible resources to be re-used and thus simplifies the construction of the proposed software architecture.
Hybrid Agents for Power-Aware Intrusion Detection in Highly Mobile Ad Hoc Networks
Authors: T. Srinivasan, V. Mahadevan, A. Meyyappan, A. Manikandan, M. Nivedita, N. Pavithra
Venue: Proceedings of the International Conference on Systems and Networks Communication (2006)

Highly mobile ad hoc networks with their changing topology and distributed nature are more prone to intruders. The efficiency of an Intrusion Detection System in the case of an ad hoc network is not only determined by its dynamicity in monitoring but also by its flexibility in utilizing the available power in each of its nodes. In this paper, we propose a hybrid intrusion detection system, based on a power level metric for potential ad hoc hosts, which is used to determine the duration for which a particular node can support a network-monitoring node. Power - aware Hybrid Intrusion Detection System (PHIDS) focuses on the available power level in each of the nodes and determines the network monitors. Power aware intrusion detection using hybrid agents result in maintaining power and provides an iterative poweroptimal solution to identify fewer nodes for distributed agent-based intrusion detection.
Tailoring neighborhood search for the internet protocol network design problem with reliability and routing constraints
Authors: L. De Giovanni, R. Tadei
Venue: Networks (2007)

The Internet Protocol Network Design Problem with Reliability and Routing Constraints (IPRR) can be shortly stated as follows. A telecommunication network is given in terms of a set of nodes and a set of traffic demands; we want to define the minimum cost capacity reservation such that all the traffic is routed even under fault scenarios. Capacity is provided by reserving some already installed devices of a given capacity between pairs of nodes and traffic must be loaded on the network according to the OSPF-ECM (Open Shortest Path First-Equal Commodity Multipath) protocol, with additional constraints on the maximum number of hops. The problem is &Nscr;&Pscr;-Hard and literature proposes neighborhood search heuristics that do not take the reliability and max-hop requirements into account, or assume a simplified OSPF routing. The design and the implementation of the components of any neighborhood search algorithms are strongly conditioned by the reliability and routing constraints, which imply a huge amount of hop-constrained shortest paths to be taken into account. This work shows how the components of these heuristics can be implemented, with particular emphasis to the setting up of an efficient neighborhood evaluation procedure, the discussion of its incremental version, and the introduction of effective reduced-size neighborhoods. Computational experiments on instances derived from real networks are also presented, and they show the proposed components make the neighborhood search a viable approach for IPRR. &copy; 2006 Wiley Periodicals, Inc. NETWORKS, Vol. 49(1), 65&ndash;79 2007