ppxscal/embedding_network huggingface dataset:
Research on Parallel Visualization in Large-Scale Scientific Computing
Authors: Jiaquan Gao, Duanyang Zhao
Venue: Proceedings of the 16th International Conference on Artificial Reality and Telexistence--Workshops (2006)

In order to solve the visual problems of large-scale scientific computing, the project imports the middle ware for communication, and extends the classic client-server structure into client-commware-server structure. The paper proposes a visual system model for large-scale scientific computing based on client-commware- server structure, PC-cluster and largescale display technology. The visual system model has the virtues of generality and excellently interactive capacity, and has successfully been applied to PRIS (Parallel Reservoir Integrated Simulator), a visual system of large-scale oil simulation. Applied results prove that it has a widely applicable prospective.
Hardness of routing with congestion in directed graphs
Authors: Julia Chuzhoy, Venkatesan Guruswami, Sanjeev Khanna, Kunal Talwar
Venue: Proceedings of the thirty-ninth annual ACM symposium on Theory of computing (2007)

Given as input a directed graph on n vertices and a set ofsource-destination pairs, we study the problem of routing themaximum possible number of source-destination pairs on paths, suchthat at most c(N) paths go through any edge. We show that theproblem is hard to approximate within an NΩ(1/c(N)) factoreven when we compare to the optimal solution that routes pairs onedge-disjoint paths, assuming NP doesn't have NO(log logN)-time randomized algorithms. Here the congestion c(N) can beany function in the range 1 ≤ c(N) ≤ α log N/log log N for some absolute constant α > 0. The hardness result is in the right ballpark since a factor NO(1/c(N)) approximation algorithm is known for this problem, viarounding a natural multicommodity-flow relaxation. We also give asimple integrality gap construction that shows that themulticommodity-flow relaxation has an integrality gap of NΩ(1/c) for c ranging from 1 to Θ((log n)/(log log n)). A solution to the routing problem involves selecting which pairs tobe routed and what paths to assign to each routed pair. Two naturalrestrictions can be placed on input instances to eliminate one ofthese aspects of the problem complexity. The first restriction is toconsider instances with perfect completeness; an optimalsolution is able to route all pairs with congestion 1 in suchinstances. The second restriction to consider is the uniquepaths property where each source-destination pair has a unique pathconnecting it in the instance. An important aspect of our result isthat it holds on instances with any one of these tworestrictions. Our hardness construction with the perfectcompleteness restriction allows us to conclude that the directedcongestion minimization problem, where the goal is to route allpairs with minimum congestion, is hard to approximate to within afactor of Ω(log N/log log N). On the other hand, thehardness construction with unique paths property allows us toconclude an NΩ(1/c) inapproximability bound also for theall-or-nothing flow problem. This is in a sharp contrast to theundirected setting where the all-or-nothing flow problem is known tobe approximable to within a poly-logarithmic factor.
Duration modeling in a restricted-domain female-voice synthesis in Spanish using neural networks
Authors: R. Cordoba
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02 (2001)

The objective of this paper is the accurate prediction of segmental duration in a Spanish text-to-speech system. There are many parameters that affect duration, but not all of them are always relevant. We present a complete environment in which to decide which parameters are more relevant and the best way to code them. This work is the continuation of Cordoba et al. (1999), where all efforts were dedicated to an unrestricted-domain database for a male voice. In this case, we are considering a female voice in a restricted-domain environment. This restricted-domain offers several advantages to the modeling: the variation in the different patterns is reduced, and so most of the decisions we have made about the parameters are now based in more significant results. So, the conclusions that we present now show clearly which parameters are best. The system is based in a neural network absolutely configurable.
Interfacing a CDG parser with an HMM word recognizer using word graphs
Authors: M. P. Harper
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

We describe a prototype spoken language system that loosely integrates a speech recognition component based on hidden Markov models with a constraint dependency grammar (CDG) parser using a word graph to pass sentence candidates between the two modules. This loosely coupled system was able to improve the sentence selection accuracy and concept accuracy over the level achieved by the acoustic module with a stochastic grammar. Timing profiles suggest that a tighter coupling of the modules could reduce parsing times of the system, as could the development of better acoustic models and tighter parsing constraints for conjunctions.
Wavelet analysis of fractal point processes
Authors: A. Recio
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05 (1996)

The response patterns of chinchilla auditory nerve fibers were analyzed using the wavelet transform. Previous studies have shown that the responses display a fractal characteristic when observed over relatively long time intervals (>100-200 ms). Both spontaneous (non-driven) and acoustically driven responses of neurons in the auditory nerve display this behavior. The wavelet transform was used to quantify this fractal behavior by estimating the slope of the variance of the wavelet coefficients across several levels of resolution. The estimates were similar to the ones obtained using the Fano factor (variance to mean ratio of events). A wavelet analysis done on a doubly stochastic point process model of the responses of the auditory nerve gave similar results. 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
A new algorithm for encoding and decoding the Hilbert order
Authors: Ningtao Chen, Nengchao Wang, Baochang Shi
Venue: Software&mdash;Practice Experience (2007)

An iterative algorithm is described, based on the replication process of the Hilbert matrix, for encoding and decoding the Hilbert order. The time complexity of the proposed algorithm is smaller than those published previously, and the space complexity is bounded by a constant. Moreover, the new algorithm has a wider applicability when compared with existing algorithms for certain machine-word lengths. A new variant of the Hilbert curve is suggested to overcome a shortcoming of the traditional Hilbert curve for the mapping problem. The proposed coding algorithms for the traditional Hilbert curve are also applicable to the new variant without increasing the time and space complexities. Copyright &copy; 2006 John Wiley & Sons, Ltd.
A laboratory approach to semiconductor process technology
Authors: M. J. Willis
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

The growth of the semiconductor industry has spurred several partnerships between colleges and industry throughout the United States. In Albuquerque, New Mexico, the partnership between Albuquerque TVI a Community College and Intel Corporation has lead to the development of a 1200 square foot cleanroom that is used by the college as a laboratory to train students and instructors for the semiconductor industry. This paper addresses the philosophy of the laboratory and discusses the various lab activities that are used to prepare students for the semiconductor industry.
Blur identification using averaged spectra of degraded image singular vectors
Authors: Z. Devcic
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

In this paper we propose a new blur identification algorithm based on singular value decomposition (SVD) of degraded images. An unknown space-invariant point-spread function (PSF) is also decomposed using SVD. Magnitude functions of PSF singular vectors (left and right) are identified using averaged spectra of corresponding singular vectors of the degraded image. Phase functions of PSF singular vectors are supposed to be zero, except for the case when zero crossings can be detected from corresponding magnitude functions. In the proposed method, the two dimensional PSF estimation procedure is decomposed into several one-dimensional estimation procedures. The PSF estimation algorithm does not require numerical optimization, suggesting a fast and straightforward procedure.
Introductory analog electronics course incorporating in-class team design problems and multi-team design based laboratories
Authors: D. Moore
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

A new, single term, introductory analog electronics course was developed in conjunction with a major curriculum revision in the Electrical and Computer Engineering department. A desire to provide greater student-student interaction and team based design experiences are two of the underlying themes of the curriculum revision and of the analog course design. This paper presents an overview of the course and provides specific examples of both the in-class projects and laboratory exercises specifically designed to improve design and team based performance. Student comments/suggestions from both formally solicited surveys and informal discussions are also included. The paper concludes with recommendations for future modifications and improvements.
SANE: a protection architecture for enterprise networks
Authors: Martin Casado, Tal Garfinkel, Aditya Akella, Michael J. Freedman, Dan Boneh, Nick McKeown, Scott Shenker
Venue: Proceedings of the 15th conference on USENIX Security Symposium - Volume 15 (2006)

Connectivity in today's enterprise networks is regulated by a combination of complex routing and bridging policies, along with various interdiction mechanisms such as ACLs, packet filters, and other middleboxes that attempt to retrofit access control onto an otherwise permissive network architecture. This leads to enterprise networks that are inflexible, fragile, and difficult to manage. To address these limitations, we offer SANE, a protection architecture for enterprise networks. SANE defines a single protection layer that governs all connectivity within the enterprise. All routing and access control decisions are made by a logically-centralized server that grants access to services by handing out capabilities (encrypted source routes) according to declarative access control policies (e.g., "Alice can access http server foo"). Capabilities are enforced at each switch, which are simple and only minimally trusted. SANE offers strong attack resistance and containment in the face of compromise, yet is practical for everyday use. Our prototype implementation shows that SANE could be deployed in current networks with only a few modifications, and it can easily scale to networks of tens of thousands of nodes.
Computational modeling of city formation
Authors: Kurt Demaagd, Scott Moore
Venue: Computational Economics (2007)

Although a burst of recent research in economics has examined how industries form, a majority of it considers highly simplified models. In this paper, we use computational modeling techniques to expand from traditional, simple, analytically tractable economic models to more complex two dimensional landscapes. Using the basic theories developed in earlier research, we examine what factors cause cities to emerge, including: transportation costs, the percentage of workers in a population, and the elasticity of substitution. These three factors should cause workers and firms to agglomerate, causing cities to emerge out of a scattered population.
Development of Plasma-based Flow Control Techniques for Scramjet Flow Paths
Authors: Datta V. Gaitonde, Martin F. Lindsey
Venue: Proceedings of the HPCMP Users Group Conference (2006)

An overview is presented of a comprehensive challenge effort titled "Tip-to-tail Turbulent Scramjet Flowpath Simulation with MHD Energy Bypass. Emphasis is placed on fully three-dimensional (3-D) results obtained recently at flight conditions. The goal is to employ high-fidelity simulations to lift critical constraints in scramjet development through revolutionary new concepts, which do not readily lend themselves to ground or flight test investigations. The central feature of these techniques is the deployment of 3-D electromagnetic fields to address the harsh airbreathing hypersonic environment. The theoretical model employed resolves the multi-fluid, multi-physics phenomena through a careful blend of first-principles and phenomenological elements chosen to discover new enabling physics. The resulting large and mathematically complex set of equations requires both advanced numerical methods and the massive systems available through the DoD HPC. By coupling results to powerful 3-D visualization techniques, the project has discovered previously unknown effects relating the magnetic, electric and velocity vector fields, as well as location and extent of the ionized region. This has enabled the elucidation of a simple set of principles for effective plasma-based flow control. Key among these are the thermodynamic balance between ponderomotive force and heating through competition between work and Ohmic dissipation and the discriminating effect of energy direction when electrodes are employed. These general observations are employed to develop methods to mitigate heat transfer, separation, mixing and energy management.
Asynchronous on-Chip Communication: Explorations on the Intel PXA27x Processor Peripheral Bus
Authors: Andrew M. Scott, Mark E. Schuelein, Marly Roncken, Jin-Jer Hwan, John Bainbridge, John R. Mawer, David L. Jackson, Andrew Bardsley
Venue: Proceedings of the 13th IEEE International Symposium on Asynchronous Circuits and Systems (2007)

For today's SoC designer, on-die variation, clock distribution, timing closure, and power concerns confront the desire to get products to market quicker. Each new process generation makes the challenge greater as process skews, complexity, and frequency become more onerous. This is particularly true for signals that have to travel across larger portions of a chip such as clocks and buses. In this paper, we examine the use of GALS (Globally Asynchronous, Locally Synchronous) [5] techniques to address on-chip communication between different synchronous modules on a bus. We explore issues related to validation, module interfaces and tool flows, while looking at advantages in power savings, timing closure and Time-to-Market/Time-to-Money (TTM). Our exploration vehicle is the Intel??R PXA27x Peripheral Bus (PB)- a common interface for connecting peripherals on PXA27x and related processor families in Intel's cellular and handheld application and communication domain.
Intelligibility assessment of a multi-band speech enhancement scheme
Authors: A. Hussain
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02 (2000)

A series of psychoacoustic experiments are described which attempt to assess the capability of a multi-microphone sub-band adaptive (MMSBA) signal processing scheme for improving the intelligibility of speech corrupted with recorded automobile noise. For the experimental cases considered, the proposed MMSBA scheme employing diverse sub-band processing is shown to deliver a statistically significant improvement in terms of both speech intelligibility and perceived quality when compared with both the wideband processed and the noisy unprocessed case. 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
Connected digit recognition using short and long duration models
Authors: C. Chesta
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

We show that accurate HMMs for connected word recognition can be obtained without context dependent modeling and discriminative training. We train two HMMs for each word that have the same, standard, left to right topology with the possibility of skipping once state, but each model has a different number of states, automatically selected. The two models account for different speaking rates that occur not only in different utterances of the speakers, but also within a connected word utterance of the same speaker. This simple modeling technique has been applied to connected digit recognition using the adult speaker portion of the TI/NIST corpus giving the best results reported so far for this database. It has also been tested on telephone speech using long sequences of Italian digits (credit card numbers), giving better results with respect to classical models with a larger number of densities.
An area-efficient VLSI architecture for decoding of Reed-Solomon codes
Authors: Jah-Ming Hsu
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06 (1996)

This paper presents a new pipelined VLSI array for decoding Reed-Solomon (RS) codes. The architecture is designed based on the modified time-domain Berlekamp-Massey algorithm incorporated with the remainder decoding concept. A prominent feature of the proposed system is that, for a t-error-correcting RS code with block length n, it involves only 2t consecutive symbols to compute a discrepancy value in the decoding process, instead of n consecutive symbols used in the previous RS decoders based on the same algorithm without using the remainder decoding concept. The proposed RS decoder reaches an average decoding rate of one data symbol per clock cycle. As compared to a similar pipelined RS decoder with the same decoding rate, it gains significant improvements in hardware complexity and latency.
ASAP-a 2D DFT VLSI processor and architecture
Authors: J. D. Mellott
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06 (1996)

We examine the use of an innovation, called the logarithmic residue number system or LRNS, as an alternative to conventional DSP processors for implementing multiply-accumulate (MAC) operations. The Athena Sensor Arithmetic Processor (ASAP) is a custom VLSI multiprocessor chip based on the LRNS. The fabricated ASAP device is an LRNS "vector-processor on a chip" capable of achieving MAC bandwidth-area ratios far greater than a conventional processor. The paper develops the scientific foundations upon which the LRNS is based, develops the ASAP architecture, and demonstrates its use in the design of a 231/spl times/231 two dimensional FFT having a one hundred frame per second bandwidth.
Analyzing Requirements for a Large Scale System for Cancer Research
Authors: Vito Perrone, Anthony Finkelstein
Venue: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems (2007)

While most of the attention on building systems enabling semantic interoperability has been devoted to technical issues, human and organizational aspects are of equally if not higher importance. In this paper we focus on these aspects by recounting our experience and lessons learned working to the development of an innovative system in the cancer research domain.
An industrial application of signal processing: ceramic microcrack detection
Authors: R. Miralles
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04 (1999)

On line quality control in industrial plants is an open field for signal processing applications. In this paper we present a real-time prototype for the detection of microcracks in tiles of wet ceramic by means of ultrasonics. We also describe the signal processing algorithm applied and particularly how the false alarm probability (PFA) may be controlled. Finally an experimental test shows the agreement between the predicted PFA and the measured one, thus giving practical applicability to the proposed method.
Engineering Vertical Orchestration: From Biometric Trace Events to Incident Reporting
Authors: Patricia O'Hagan, Edward Hanna, Roy Sterritt, Paul McKay
Venue: Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (2007)

This paper reports on the latest developments in a deployed Survivable Secure System. The latest version of the system aims to transcribe low-level biometric events into high-level incident reports. This not only provides reactive reporting by providing evidence of who, where, and what when an incident occurs; and pro-active activity by ensuring high-level policies are being followed through low-level system interaction; but also provides another building block towards the long term vision of achieving a predictive system, where through the biometric event trail a developing negative incident can be identified and prevented.
Noise and room acoustics distorted speech recognition by HMM composition
Authors: S. Nakamura
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01 (1996)

This paper presents a robust speech recognition method based on the HMM composition for the noisy room acoustics distorted speech. The method realizes an improved user interface such as the user is not encumbered by microphone equipment. The proposed HMM composition is obtained by naturally extending the HMM composition method of an additive noise to that of the convolutional room acoustics distortion. The HMM composition is conducted by 2 steps: (1) composition of HMMs of a speech and acoustical transfer function in the cepstrum domain, and (2) composition of distorted speech and noise HMMs in the linear spectral domain. The speaker dependent/independent word recognition experiments are carried out using the speech database contaminated by the additive noise and convolutional room acoustics distortion. The evaluation experiments are also conducted for unknown testing sound source positions. These results clarified the effectiveness of the proposed method.
Maximum likelihood detection for multicarrier systems employing non-orthogonal pulse shapes
Authors: Wing-Kin Ma
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

Investigation of detection schemes for non-orthogonal multicarrier modulation (MCM) is motivated by two reasons. Firstly, non-orthogonal MCM offers a higher degree of freedom in pulse-shaping design. Secondly, the problem of detecting orthogonal MCM under channel distortion can be viewed as a problem of detecting non-orthogonal MCM. In this work, the maximum likelihood detector (MLD) is considered for non-orthogonal multicarrier systems. In the absence of inter-block interference, it is shown that the MLD can be efficiently achieved by a Viterbi algorithm (VA). In contrast to using the VA for channel equalization, the proposed VA has its survivor metrics running in the""frequency domain". Incorporating this VA with an interference-canceling approach, we also develop a decision feedback MLD for the case of non-zero inter-block interference. Superior bit error performance of the MLDs is demonstrated by simulations.