ppxscal/embedding_network huggingface dataset:
Inducing word alignments with bilexical synchronous trees
Authors: Hao Zhang, Daniel Gildea
Venue: Proceedings of the COLING/ACL on Main conference poster sessions (2006)

This paper compares different bilexical tree-based models for bilingual alignment. EM training for the new model benefits from the dynamic programming "hook trick". The model produces improved dependency structure for both languages.
An optimal generalized theory of signal representation
Authors: J. S. Goldstein
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

A new generalized statistical signal processing framework is introduced for optimal signal representation and compression. Previous work is extended by considering the multiple signal case, where a desired signal is observed only in the presence of other non-white signals. The solution to this multi-signal representation problem yields a generalization of the Karhunen-Loeve transform and generates a basis selection which is optimal for multiple signals and colored-noise random processes under the minimum mean-square error criterion. The important applications for which this model is valid include detection, prediction, estimation, compression, classification and recognition.
TclOSAScript: exec for MacTcl
Authors: Jim Ingham, Raymond Johnson
Venue: Proceedings of the 5th conference on Annual Tcl/Tk Workshop 1997 - Volume 5 (1997)

We describe the TclOSAScript extension to MacTcl. TclOSAScript provides the ability for MacTcl scripts to run scripts in any other OSA compatible language on the Macintosh. Since the OSA is the standard mechanism for interapplication communication on the Mac, this allows MacTcl to run other applications, and provides an exec like facility (though arguably using a much richer communication model.)
ConnectA!: An Intelligent Search Engine based on Authors' Connectivity
Authors: Hamidreza Baghi, Mohammadreza Barouni-Ebrahimi, Ali A. Ghorbani, Reza Zafarani
Venue: Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (2007)

Searching documents about a specific subject written by a group of closely related authors may sometimes come in use for the researchers. This task is usually overwhelming, since the surfer is not familiar with all the authors in that community. In this paper, we propose a semantic web search engine called ConnectA! that helps the users to find the publications of a community of authors on a specific subject, while they only know a very limited number of the authors in that community. The primary live evaluation of the implemented model shows the efficiency of the method.
Selecting Grid-Agent-Team to Execute User-Job--Initial Solution
Authors: Mateusz Dominiak, Maria Ganzha, Marcin Paprzycki
Venue: Proceedings of the First International Conference on Complex, Intelligent and Software Intensive Systems (2007)

Recently we have proposed a novel approach to utilizing agent teams as resource brokers and managers in the Grid. Thus far we have presented an overview of the proposed approach discussed how to efficiently implement the information center, where agent teams advertise their needs and resources. In this paper we focus our attention on the way that user selects agent team that will execute its job. Details of initial implementation are presented and discussed.
Unsupervised Anomaly Detection in Network Traffic by Means of Robust PCA
Authors: Roland Kwitt, Ulrich Hofmann
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2007)

This paper points out the need for unsupervised anomaly detection in the context of instrusion detection systems. Our work is based on an approach which employs principal component analysis (PCA) in order to detect anomalies in measuerments of certain network traffic parameters. We discuss the problem of contaminated training data and propose to use PCA on the basis of robust estimators to overcome the necessity of a supervised preprocessing step.
Automating mimicry attacks using static binary analysis
Authors: Christopher Kruegel, Engin Kirda, Darren Mutz, William Robertson, Giovanni Vigna
Venue: Proceedings of the 14th conference on USENIX Security Symposium - Volume 14 (2005)

Intrusion detection systems that monitor sequences of system calls have recently become more sophisticated in defining legitimate application behavior. In particular, additional information, such as the value of the program counter and the configuration of the program's call stack at each system call, has been used to achieve better characterization of program behavior. While there is common agreement that this additional information complicates the task for the attacker, it is less clear to which extent an intruder is constrained. In this paper, we present a novel technique to evade the extended detection features of state-of-the-art intrusion detection systems and reduce the task of the intruder to a traditional mimicry attack. Given a legitimate sequence of system calls, our technique allows the attacker to execute each system call in the correct execution context by obtaining and relinquishing the control of the application's execution flow through manipulation of code pointers. We have developed a static analysis tool for Intel x86 binaries that uses symbolic execution to automatically identify instructions that can be used to redirect control flow and to compute the necessary modifications to the environment of the process. We used our tool to successfully exploit three vulnerable programs and evade detection by existing state-of-the-art system call monitors. In addition, we analyzed three real-world applications to verify the general applicability of our techniques.
BER computation of an MC-CDMA system with carrier frequency offset
Authors: Younsun Kim
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

The effect of carrier frequency on the performance of an MC-CDMA (multi-carrier code division multiple access) system is considered. The bit error probability of the downlink of this system is analyzed taking into account the effect of frequency offset. This paper is focused on the derivation of the bit error probability mathematically. The derived results show that the performance of MC-CDMA is very sensitive even to a relatively minute degree of frequency offset. Parameters such as the degree of carrier offset, number of subcarriers, number of users, method of combining, and type of channel are varied so that the influence of each parameter can be assessed.
Discovering Frequent Poly-Regions in DNA Sequences
Authors: Panagiotis Papapetrou, Gary Benson, George Kollios
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

The problem of discovering arrangements of regions of high occurrence of one or more items of a given alphabet in a sequence, is studied, and two efficient algorithms are proposed. The first one is entropy-based and uses an existing recursive segmentation technique to split the input sequence into a set of homogeneous segments. The key idea of the second approach is to use a set of sliding windows over the sequence. Each sliding window keeps a set of statistics of a sequence segment that mainly includes the number of occurrences of each item in that segment. Combining these statistics efficiently yields the complete set of regions of high occurrence of the items of the given alphabet. After identifying these regions, the sequence is converted to a sequence of labeled intervals (each one corresponding to a region). An efficient algorithm for mining frequent arrangements of event intervals is applied to the converted sequence to discover frequently occurring arrangements of these regions. The proposed algorithms are tested on various DNA sequences producing results with significant biological meaning.
Improved frequency marginal estimates for time-frequency distributions
Authors: S. Aviyente
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02 (2000)

Time-frequency distributions (TFDs) are used for representing the energy density of a signal simultaneously in time and frequency. The frequency marginal is defined as the density of frequency at a particular time. When the frequency marginal is satisfied, it is given by the classical periodogram formulation. In spectral estimation literature, the periodogram is not considered to be a good spectral estimate because of the high variance it exhibits. For this reason, several modified periodogram methods including Thomson's (1982) spectral estimation method have been introduced. In this paper, a new kernel design method to obtain a smoothed spectrum as the frequency marginal is introduced. The necessary conditions on the time-frequency kernel are derived. The consequences of this new kernel design method in signal analysis are illustrated with examples.
A stable and efficient DSP implementation of a LSL algorithm for acoustic echo cancelling
Authors: A. H. C. Carezia
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02 (2001)

We present an optimized DSP implementation of a modified error-feedback lattice least-square (EF-LSL) adaptive filtering algorithm. Simple measures that provide numerical stability for poor persistent excitation are also proposed. As a result of the optimization and the stability measures, an efficient and stable implementation of a fast algorithm of the RLS family was attained. We present the results of an acoustic echo cancelling experiment performed with the implemented algorithm. With a 40 MIPS SHARC DSP, up to 290 adaptive filter coefficients can be used. This represents an effective alternative to algorithms of the LMS family, while still retaining the good convergence properties of the RLS family.
Interface synthesis for heterogeneous multi-core systems from transaction level models
Authors: Hansu Cho, Samar Abdi, Daniel Gajski
Venue: Proceedings of the 2007 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems (2007)

This paper presents a tool for automatic synthesis of RTL interfaces for heterogeneous MPSoC from transaction level models (TLMs). The tool captures the communication parameters in the platform and generates interface modules called universal bridges between buses in the design. The design and configuration of the bridges depend on several platform components including heterogeneity of the components, traffic on the bus, size of messages and so on. We define these parameters and show how the synthesizable RTL code for the bridge can be automatically derived based on these parameters. We use industrial strength design drivers such as an MP3 decoder to test our automatically generated bridges for a variety of platforms and compare them to manually designed bridges on different quality metrics. Our experimental results show that performance of automatically generated bridges are within 5% of manual design for simple platforms but surpasses them for more complex platforms. The area and RTL code size is consistently better than manual design while giving 5 orders of improvement in development time.
A New Architecture For Multiple-Precision Floating-Point Multiply-Add Fused Unit Design
Authors: Libo Huang, Li Shen, Kui Dai, Zhiying Wang
Venue: Proceedings of the 18th IEEE Symposium on Computer Arithmetic (2007)

The floating-point multiply-add fused (MAF) unit sets a new trend in the processor design to speed up floatingpoint performance in scientific and multimedia applications. This paper proposes a new architecture for the MAF unit that supports multiple IEEE precisions multiply-add operation (A×B+C) with Single Instruction Multiple Data (SIMD) feature. The proposed MAF unit can perform either one double-precision or two parallel single-precision operations using about 18% more hardware than a conventional double-precision MAF unit and with 9% increase in delay. To accommodate the simultaneous computation of two single-precision MAF operations, several basic modules of double-precision MAF unit are redesigned. They are either segmented by precision mode dependent multiplexers or attached by the duplicated hardware. The proposed MAF unit can be fully pipelined and the experimental results show that it is suitable for processors with floatingpoint unit (FPU).
How to increase GSS transition? A case study at a Dutch Police Force
Authors: Marielle den Hengst, Lis Weimar, Stephan O. den Hengs
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Despite the potential of GSS, GSS has not diffused widely in organizations. The diffusion of technology can be explained by the Technology Transition Model (TTM). TTM explains what causes a group of technology users to become self-sustaining. This paper uses TTM as a starting point and presents actionable items to increase the success of GSS diffusion. A case study at a Dutch Police Force is presented. Following TTM, the paper explores what actions were carried out by the police and how these actions influenced the frequency, the magnitude and the certainty with which users perceived net value from using the system. The findings suggest that TTM may be a useful model to identify actionable items an organization can execute to increase the success of GSS transition.
Reflections on Finite Model Theory
Authors: Phokion G. Kolaitis
Venue: Proceedings of the 22nd Annual IEEE Symposium on Logic in Computer Science (2007)

Advances in finite model theory have appeared in LICS proceedings since the very beginning of the LICS Symposium. The goal of this paper is to reflect on finite model theory by highlighting some of its successes, examining obstacles that were encountered, and discussing some open problems that have stubbornly resisted solution.
Blind channel equalization using weighted subspace methods
Authors: R. Ruiz
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04 (1999)

This paper addresses the problems of blind channel estimation and symbol detection with second order statistics methods from the received data. It can be shown that this problem is similar to direction of arrival (DOA) estimation, where many solutions like the MUSIC algorithm or "weighted" techniques (as deterministic maximum likelihood or weighted subspace fitting method) have been developed. In this proposal we extend these techniques to the blind channel identification problem in a unified framework known as subspace fitting. In this framework the estimated and the received data are "fitting" through the subspaces in a least square sense. Then, in order to solve this problem and estimate the channel, a modified Gauss-Newton type algorithm is suggested. Simulations are carried out comparing the proposed solutions with a classical signal subspace-based blind channel identification scheme.
Instrumentation and optimization of Win32/intel executables using Etch
Authors: Ted Romer, Geoff Voelker, Dennis Lee, Alec Wolman, Wayne Wong, Hank Levy, Brian Bershad, Brad Chen
Venue: Proceedings of the USENIX Windows NT Workshop on The USENIX Windows NT Workshop 1997 (1997)

Etch is a general-purpose tool for rewriting arbitrary Win32/x86 binaries without requiring source code. Etch provides a framework for modifying executables for both measurement and optimization. Etch handles the complexities of the Win32 executable file format and the x86 instruction set, allowing tool builders to focus on specifying transformations. Etch also handles the complexities of the Win32 execution environment, allowing tool users to focus on performing experiments. This paper describes Etch and some of the tools that we have built using Etch, including a hierarchical call graph profiler and an instruction layout optimization tool.
The Dark Side of Computing: SRI International and the Study of Computer Crime
Authors: Donn B. Parker
Venue: IEEE Annals of the History of Computing (2007)

From the perspective of an information security researcher and consultant who studied crime for 40 years, this brief history of computer crime delves into study methods and presents findings from many years of National Science Foundation and US Department of Justice grant-supported research and business support at SRI International.
Optimal filters for multidimensional sampling and reconstruction of image classes
Authors: A. S. Bopardikar
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

This paper deals with multidimensional sampling and optimal reconstruction of the input random field or image class in the mean squared sense. It considers the interpolation and approximation sampling systems and presents closed form expressions for the filters in these systems as well as the mean squared errors between the input and the reconstructed fields. For the approximation sampling systems the optimal filters turn out to be spectral factors of an ideal brickwall filter whose support is determined by the sampling lattice. Finally, it presents examples of filters matched to an input image class derived from a multispectral LANDSAT image. In an image coding context, these filters can be considered as providing the best tradeoff between coding rate reduction by undersampling and distortion in reconstruction. The performance of these filters is tested in the presence of a quantizer for different bit rates and is compared with that of some standard filters to demonstrate this.
Interactive presentation: Behavioral modeling of delay-locked loops and its application to jitter optimization in ultra wide-band impulse radio systems
Authors: E. Barajas, R. Cosculluela, D. Coutinho, D. Mateo, J. L. González, I. Cairò, S. Banda, M. Ikeda
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

This paper presents a behavioral model of a delay-locked loop (DLL) used to generate the timing signals in an integrated ultra wide-band (UWB) impulse radio (IR) system. The requirements of these timing signals in the context of UWB-IR systems are reviewed. The behavioral model includes a modeling of the various noise sources in the DLL that produce output jitter. The model is used to find the optimum loop filter capacitor value that minimizes output jitter. The accuracy of the behavioral model is validated by comparing the system level simulation results with transistor level simulations of the whole DLL.
Grid Computing Yields Earthquake Forecast
Authors: Pam Frost Gorder
Venue: Computing in Science and Engineering (2007)

A new statistical technique using grid computing enables scientists to narrow the earthquake forecast window to less than three years-and in some cases, to only a year and a half.
Tracking DSCP Marking of Packets in a QoS Enabled Triple-play IP Network
Authors: C. J. (Charlie) Liu
Venue: Proceedings of the Third International Conference on Networking and Services (2007)

Today, IP networks are required to provide secure, predictable, measurable, and guaranteed services for business-critical applications. Quality of Service (QoS) is an infrastructure data-plane feature that will enable support of multiple services such as video, voice, and mission-critical data. Achieving the required level of QoS by managing delay, delay variation (a.k.a. jitter), bandwidth, and packet loss parameters on a network enables an end-to-end business solution. DSCP marking of a packet is being used by IP service providers to differentiate different types of services such as video, voice, vs. best effort data services. Queuing and congestion avoidance mechanisms, such as WRR and WRED, are used to treat packets differently with distinct DSCP markings. Filtering based on DSCP marking is also being employed to provide additional layer of security. As a consequence, change of a packet's DSCP marking can have adverse effect on the treatment the packet will experience along its flight path to destination. The packet can even get discarded because of the "incorrect' marking due to unintentional or malicious change. Video and voice traffic are sensitive to packet loss and delay/jitter. It requires consistent DSCP marking once it enters a service provider's network.
A fly-locust based neuronal control system applied to an unmanned aerial vehicle: the invertebrate neuronal principles for course stabilization, altitude control and collision avoidance
Authors: Sergi Bermudez I Badia, Pawel Pyk, Paul F.M.J. Verschure
Venue: International Journal of Robotics Research (2007)

The most versatile and robust flying machines are still those produced by nature through evolution. The solutions to the 6 DOF control problem faced by these machines are implemented in extremely small neuronal structures comprising thousands of neurons. Hence, the biological principles of flight control are not only very effective but also efficient in terms of their implementation. An important question is to what extent these principles can be generalized to man-made flying platforms. Here, this question is investigated in relation to the computational and behavioral principles of the opto-motor system of the fly and locust. The aim is to provide a control infrastructure based only on biologically plausible and realistic neuronal models of the insect opto-motor system. It is shown that relying solely on vision, biologically constrained neuronal models of the fly visual system suffice for course stabilization and altitude control of a blimp-based UAV. Moreover, the system is augmented with a collision avoidance model based on the Lobula Giant Movement Detector neuron of the Locust. It is shown that the biologically constrained course stabilization model is highly robust and that the combined model is able to perform autonomous indoor flight.
Sonar discrimination of cylinders from different angles using neural networks
Authors: L. N. Andersen
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

This paper describes an underwater object discrimination system applied to recognize cylinders of various compositions from different angles. The system is based on a new combination of simulated dolphin clicks, simulated auditory filters and artificial neural networks. The model demonstrates its potential on real data collected from four different cylinders in an environment where the angles were controlled in order to evaluate the models capabilities to recognize cylinders independent of angles.
A Platform for Simulation of Crises in Urban Environments
Authors: Gunnar Holm, Farshad Moradi, Pernilla Svan, Niklas Wallin
Venue: Proceedings of the First Asia International Conference on Modelling & Simulation (2007)

More and more often civil and military threats tend to occur within urban environments which raise the demand for increasing the knowledge and understanding of these events and their effects on society. Crisis simulation modeling could provide excellent support for this demand, and we present a generic platform for modeling and simulation of crises in urban environments, SimCUE, that is proposed by FOI. Such a tool could be used for planning of operations and in preparation for training rescue personnel and decision makers in emergency response. Initially our own existing models will be used as a basis for the platform but we intend and need to extend those with more models describing different kinds of disasters. An overview of existing research models and efforts is presented as well as some examples of plausible scenarios where the tool can be used.