ppxscal/embedding_network huggingface dataset:
Context Inferring in the Smart Home: An SWRL Approach
Authors: Vincent Ricquebourg, David Durand, David Menga, Bruno Marhic, Laurent Delahoche, Christophe Loge, Anne-Marie Jolly-Desodt
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

This paper deals with a context awareness system based on a service-oriented architecture dedicated to the Smart Home. In our approach, a Smart Home must be able to provide services adapted to the needs of its inhabitants. To achieve this, we propose to build a Smart environment that takes into account the ambient context of its inhabitants, providing contextually-aware services. In previous work [18], we described a four-layer architecture to manage data acquisition and context information in distributed sensor network for smart home environments. In this paper, we focus on the context model based on an OWL ontology and then on the inference layer, based on SWRL rules language. Finally, we present our current implementation.
Sound onset detection by applying psychoacoustic knowledge
Authors: A. Klapuri
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

A system was designed, which is able to detect the perceptual onsets of sounds in acoustic signals. The system is general in regard to the sounds involved and was found to be robust for different kinds of signals. This was achieved without assuming regularities in the positions of the onsets. In this paper, a method is first proposed that can determine the beginnings of sounds that exhibit onset imperfections, i.e., the amplitude envelope of which does not rise monothinically. Then the mentioned system is described, which utilizes band-wise processing and a psychoacoustic model of intensity coding to combine the results from the separate frequency bands. The performance of the system was validated by applying it to the detection of onsets in musical signals ranging from rock to classical and big band recordings.
COD: blind path separation with limited antenna size
Authors: Xinying Zhang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05 (2001)

This paper proposes a generalized multipath separability condition for subspace processing and derives a novel COD (combined oversampling and displacement) algorithm to utilize both spatial and temporal diversities for path separation and DOA estimation. A unique advantage lies in its ability to cope with the situation where the number of multipaths is much larger than that of antenna elements, which arises in many practical situations. The traditional data matrix or any of its horizontally expanded versions cannot yield a sufficient matrix rank to satisfy the condition, when there is antenna deficiency. Neither can a vertical expansion via oversampling, except when there is no overlapping among intra-user paths (a much stronger condition than the asynchrony condition). The COD strategy solves the antenna deficiency problem by combining vertical expansion with temporal oversampling and horizontal expansion with spatial displacement. Another unique advantage of COD is its multiplicity of eigenvalues which greatly facilitates the later signal recovery processing. The paper first analyzes the theoretical footings for COD and follows with some illustrative simulation results in noisy channels.
Autocoding: an enabling technology for rapid prototyping
Authors: C. B. Robbins
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

Autocoding technology offers design aids and automatic code generation that reduce the cost of embedded signal processor design and eliminate hand code generation. This technology may be exploited in iterative design strategies that more closely couple prototyping and system development. Prototype designs may be rapidly generated and evaluated within the context of a design optimization strategy. Automated generation of production code from top level designs reduces software development costs. The productivity enhancements autocoding technology provides enables signal processor codesign iteration within practical program budgets. This paper describes the autocoding technology being developed by Management Communications and Control, Inc. (MCCI) and illustrates its use in an approach to software design optimization for an embedded signal processor target architecture. 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
Supercomputers: Current state and development
Authors: A. V. Zabrodin, V. K. Levin
Venue: Automation and Remote Control (2007)

The characteristic of development of supercomputers is given, which during the last 10---15 years are began to be built as the microprocessor based mass-parallel structures. There is a prospect for continuation of development of the parallel data processing for the next 10 years both on the general system level and on the processors structure level; the physical performance of the components will grow and targeting area of the computer systems based on the rearrangeable structures will be expanded.
On-line model selection of nonstationary time series using Gerschgorin disks
Authors: P. Michel
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05 (2001)

The paper proposes a method for on-line model selection of nonstationary time series. The method is based on computation of the covariance matrix of the data, transformation of the matrix by Housholder's tridiagonalization, and application of a clustering algorithm that can separate the Gerschgorin disks of the transformed covariance matrix into disks that correspond to the signals and noise, respectively. The method is applied to on-line estimation of the the number of harmonic signals in noise. Simulation results are presented that show the performance of the proposed method.
The Hertz contact problem, coupled Volterra integral equations and a linear complementarity problem
Authors: A. Gauthier, P. A. Knight, S. McKee
Venue: Journal of Computational and Applied Mathematics (2007)

This paper is concerned with the indentation of an elastic half-space by an axisymmetric punch under a monotonically applied normal force and under the assumption of Coulomb friction with coefficient @m in the region of contact. Within an inner (unknown) circle the contact is adhesive, while in the surrounding annulus the surface moves inwards with increasing load. In this paper it is shown how this problem is equivalent to two coupled Abel's equations with an unknown free point, the inner circumference of the annulus. It is further shown that a product integration finite difference approximation of those integral equations leads to a mixed linear complementarity problem (mixed LCP). A method based on Newton's method for solving non-smooth nonlinear equations is demonstrated to converge under restrictive assumptions on the physical parameters defining the system; and numerical experimentation verifies that it has much wider applicability. The method is also validated against the approach of Spence. The advantage of the mixed LCP formulation is that it provides the radius of the inner adhesive circle directly using the physical parameters of the problem.
Chained forests for fast subsumption matching
Authors: Sasu Tarkoma
Venue: Proceedings of the 2007 inaugural international conference on Distributed event-based systems (2007)

Content delivery is becoming increasingly popular on the Internet. There are many ways to match content to subscribers. In this paper, we focus on subsumption-based matching. We present a novel data structure for the maintenance and matching of partial orders using chained forests. The partial order derives from the subsumption, or covering, relation inherent in the objects that are matched, typically data profiles and queries. Experimental results indicate that the structure has favourable characteristics compared with a poset-based matcher; however, depending on the workload it may not be as space efficient. The proposed chaining technique has applications in information routing, collection tracking, context-aware systems, and peer-to-peer information exchange.
Authoring Tool for Business Performance Monitoring and Control
Authors: Mari Abe, Jun-Jang Jeng, Teruo Koyanagi
Venue: Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications (2007)

To monitor and warrant the performance of concerned business operations, formal representation for business performance models are needed so business analysts can describe what they expect from business service providers. This paper proposes a metamodel and an authoring tool for describing business performance for business services in the context of SOA. A business performance model explicitly captures the intentions of the consumers of the target business services. The authoring tool simplifies the modeling of the performance models. With our proposed mechanism, computational models for business performance management are generated. The separation of concerns in terms of business performance models and computational models allows for seamless transitions from business level performance models to runtime.
A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting
Authors: Patricia Melin, Alejandra Mancilla, Miguel Lopez, Olivia Mendoza
Venue: Applied Soft Computing (2007)

We describe in this paper the application of a modular neural network architecture to the problem of simulating and predicting the dynamic behavior of complex economic time series. We use several neural network models and training algorithms to compare the results and decide at the end, which one is best for this application. We also compare the simulation results with the traditional approach of using a statistical model. In this case, we use real time series of prices of consumer goods to test our models. Real prices of tomato in the U.S. show complex fluctuations in time and are very complicated to predict with traditional statistical approaches. For this reason, we have chosen a neural network approach to simulate and predict the evolution of these prices in the U.S. market.
Tricks you can do if your firewall is a bridge
Authors: Thomas A. Limoncelli
Venue: Proceedings of the 1st conference on Conference on Network Administration - Volume 1 (1999)

Firewalls that forward packets like a bridge, rather than as a router, have many operational benefits. By decoupling routing from filtering, the firewall becomes a pure filter, unburdened by routing table or interface configuration. The result is increased flexibility. This paper explores some of the benefits we have found. Most of the benefits stem from the fact that a bridged firewall requires fewer transit subnets. Sometimes transit subnets are completely eliminated. It can be placed between any two network devices and act like a line filter without needing to change the logical routing of the network. It is easy to put one in series with another firewall for testing. Our examples include replacing an old firewall with a new one, moving a firewall from one router to another with zero downtime, firewalling off an individual office or lab, and others. In many cases topology changes are made without service interruptions. The operational procedures become much more simple. The paper also suggests future directions for research in this area.
Karen Spärck Jones (1935-2007)
Authors: Yorick Wilks
Venue: IEEE Intelligent Systems (2007)

In memory of Karen Spärck Jones, who contributed significantly to the information retrieval and natural language processing fields and, in her later years, was concerned with their relationship within general schemes of representation in AI. Also remembered is Jay Modi (1975-2007), an outstanding teacher and a rising star in the AI community.
On the cusp of a validation wall
Authors: Priyadarsan Patra
Venue: IEEE Design Test (2007)

Major semiconductor companies experience postsilicon validation turning into an expensive, time-consuming proposition, yet very few college graduates are formally trained in this area. Validation is the activity of ensuring a product satisfies its reference specifications, runs with relevant software and hardware, and meets user expectations. This Perspectives article discusses some of the key challenges to successful validation and shows why a radical transformation is necessary if validation is to be effective in the near future.
An Elliptic Curve Cryptosystem Design Based on FPGA Pipeline Folding
Authors: Osama Al-Khaleel, Chris Papachristou, Francis Wolff, Kiamal Pekmestzi
Venue: Proceedings of the 13th IEEE International On-Line Testing Symposium (2007)

In this paper we present an efficient design technique for implementing the Elliptic Curve Cryptographic (ECC) Scheme in FPGAs. Our technique is based on a novel and efficient implementation of modular multiplication which is the core operation of ECC. To implement large bit-length multiplications we used a novel partitioning and pipeline folding scheme to fit at least 256-bit modular multiplications on a single Virtex-4 FPGA. Comparisons to several other schemes are presented.
Designing effective writing and presentation assignments for Freshman engineering students
Authors: E. M. Alford
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 01 (1998)

When the University of South Carolina College of Engineering (USA) created its new freshman year experience course in 1997, it established a Freshman Writing Program to integrate communications and writing skills into the curriculum. This paper describes how one component of the Freshman Writing Program, staffed by consultants in the College's communications and writing centers, is assistance to engineering faculty in structuring appropriate writing and oral presentation assignments for the course.
Understanding age differences in PDA acceptance and performance
Authors: Katrin Arning, Martina Ziefle
Venue: Computers in Human Behavior (2007)

The present study addresses two basic determinants of technology utilization: the attitude towards a certain technology and the performance when using it. According to the technology acceptance model (TAM), perceived ease of use and usefulness are assumed to be strong determinants of the actual and successful utilization of technology. However, the relationship between the acceptance of technical devices and their successful utilization (i.e. performance) is not completely understood. In this study, users' attitudes towards technology and their performance when interacting with a computer simulated PDA device were examined. Moreover, the moderating role of individual variables like age, gender, subjective technical confidence, and computer expertise in the relationship between technical performance and acceptance was analyzed. The results showed significant associations between performance and TAM factors. However, this interrelation was much stronger for the older group, especially between performance and the ease of use. The factors computer expertise and technical self-confidence played a minor role. Gender effects on technical self-confidence and TAM factors were identified, although they did not affect performance. Future research should focus on training formats for the older age group, which facilitate a successful interaction with technical devices.
A Service Oriented Architecture-based Approach for Interdomain Optical Network Services
Authors: Fábio L. Verdi, Maurício F. Magalhães, Eleri Cardozo, Edmundo R. Madeira, Annikki Welin
Venue: Journal of Network and Systems Management (2007)

This work presents a service-oriented architecture for interdomain service provisioning in optical networks. The architecture introduces a service layer that concentrates all the interactions among domains necessary for service provisioning. A service layer is an alternative to the GMPLS (Generalized Multiprotocol Label Switching) architecture, but without a rigid control plane as found in GMPLS. We start by defining a set of basic services to provide single end-to-end (e2e) interdomain connections. Then, more sophisticated services are created through the composition of these basic services. The interdomain Optical VPN (Virtual Private Network) service is considered in order to illustrate the composition of services. A prototype of the architecture was designed and implemented using Web services as the main technology. The architecture was evaluated in terms of speed, scalability, and bandwidth consumption necessary to establish e2e interdomain connections and Optical VPNs.
Visual Servoing for Nonholonomically Constrained Three Degree of Freedom Kinematic Systems
Authors: Gabriel A. D. Lopes, Daniel E. Koditschek
Venue: International Journal of Robotics Research (2007)

This paper addresses problems of robot navigation with nonholonomic motion constraints and perceptual cues arising from onboard visual servoing in partially engineered environments. A general hybrid procedure is proposed that adapts to the constrained motion setting the standard feedback controller arising from a navigation function in the fully actuated case. This is accomplished by switching back and forth between moving &#x201C;down&#x201D; and &#x201C;across&#x201D; the associated gradient field toward the stable manifold it induces in the constrained dynamics. Guaranteed to avoid obstacles in all cases, conditions are provided under which the new procedure brings initial configurations to within an arbitrarily small neighborhood of the goal. Simulation results are given for a sample of visual servoing problems with a few different perceptual models. The empirical effectiveness of the proposed algorithm is documented by reporting results of its application to outdoor autonomous visual registration experiments with the robot RHex guided by engineered beacons.
Non destructive evaluation in micro dimensions
Authors: N. Meyendorf
Venue: Proceedings of the Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (2003)

Characteristics of defects with micro and nanometer sizes, local variations in material properties, and localized strains and deformations are critical for predicting the reliability of microelectronic devices, MEMS and nanostructured material systems. Microscopic, nondestructive evaluation methods are capable of detecting near surface defects of nanometer size. The presentation will give an overview of microscopic NDE methods and show examples of scanning probe, acoustic, thermal and optical microscopy. 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
Parametric hybrid source models for voiced and voiceless fricative consonants
Authors: S. Narayanan, A. Alwan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01 (1996)

Source models for fricative consonants are derived based on aerodynamic principles of sound generation, in conjunction with vocal-tract models obtained from MRI data. Results indicate that a linear source-filter model is adequate for capturing essential spectral characteristics of sustained fricatives below 10 kHz. The hybrid source models employ a combination of acoustic monopole and dipole sources, and a voiced source in the case of the voiced fricatives. The number of sources, source locations and spectral characteristics are chosen based on an analysis-by-synthesis approach and are motivated by aeroacoustic theory. The resulting model is computationally efficient and can be readily used for synthesis.
Collection of U.S. Extremist Online Forums: A Web Mining Approach
Authors: Yilu Zhou, Jialun Qin, Guanpi Lai, Hsinchun Chen
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Extremists' exploitation of computer-mediated communications such as online forums has recently gained much attention from academia and the government. However, due to the covert nature of these forums and the dynamic nature of the Internet, there have been no systematic methodologies developed for collection and analysis of online information created by extremists. In this study, we propose a systematic Web mining approach to collecting and monitoring extremist forums. Our proposed approach identifies extremist forums from various resources, addresses practical issues faced by researchers and experts in the extremist forum collection process. Such collection provides a foundation for quantitative forum analysis. Using the proposed approach, we created a collection of 110 U.S. domestic extremist forums containing more than 640,000 documents. We also report our findings on the multimedia usage pattern, participant distribution, and posting activity distribution. The collection building results demonstrate the effectiveness and feasibility of our approach. Furthermore, the extremist forum collection we created could serve as an invaluable data source to enable a better understanding of the extremists' movements.
Efficient Probing Techniques for Fault Diagnosis
Authors: Maitreya Natu, Adarshpal S. Sethi
Venue: Proceedings of the Second International Conference on Internet Monitoring and Protection (2007)

Increase in the network usage and the widespread application of networks for more and more performance critical applications has caused a demand for tools that can monitor network health with minimum management traffic. Adaptive probing holds a potential to provide effective tools for end-toend monitoring and fault diagnosis over a network. In this paper we present adaptive probing tools that meet the requirements to provide an effective and efficient solution for fault diagnosis. In this paper, we propose adaptive probing based algorithms to perform fault localization by adapting the probe set to localize the faults in the network. We compare the performance and efficiency of the proposed algorithms through simulation results.
3D Vision: Developing an Embedded Stereo-Vision System
Authors: John Iselin Woodfill, Ron Buck, Dave Jurasek, Gaile Gordon, Terrance Brown
Venue: Computer (2007)

Stereo-vision systems can provide accurate real-time data in a variety of applications.