ppxscal/embedding_network huggingface dataset:
Application Specific Datapath Extension with Distributed I/O Functional Units
Authors: Nagaraju Pothineni, Anshul Kumar, Kolin Paul
Venue: Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems (2007)

Performance of an application can be improved through augmenting the processor with Application specific Functional Units (AFUs). Usually a cluster of operations identified from the application forms the behavior of an AFU. Several researchers studied the impact of Input and Output (I/O) constraints for a legal operation cluster on the overall achievable speedup. The general observation is that the speedup potential grows with the relaxation of I/O constraints. Going further, in this paper, we investigate the speedup potential of AFUs in the absence of I/O constraints. Design challenge in the absence of I/O constraints is addressed in a very practical manner, through the identification of maximal convex subgraphs. Usually the available register ports are few but the number of inputs/outputs of the identified patterns are likely to be large. We solve the register port limitation by the design of distributed I/O functional units, in which the operands are communicated in multiple cycles. The experimental results show that selection of maximal clusters achieves average 50% higher speedup than selecting I/O constrained operation clusters. Also, our identification algorithm runs 2 to 3 orders faster than an exhaustive identification approach.
Some Non-Stationary Subdivision Schemes
Authors: Sunita Daniel, P. Shunmugaraj
Venue: Proceedings of the Geometric Modelling and Imaging (2007)

In this paper we present some non-stationary binary and ternary subdivision schemes with parameters for generating curves. Some of these schemes reproduce some trigonometric functions and, in particular, circles. One of these is a non-stationary version of the Chaikin's scheme and it generates trigonometric splines.
Using the generalized Radon transform for detection of curves in noisy images
Authors: P. A. Toft
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain. A major advantage of the generalized Radon transform is that the curves are allowed to intersect. This enables a thresholding algorithm in the parameter domain for simultaneous detection of curve parameters. A threshold level based on the noise level in the image is derived. A numerical example is presented to illustrate the theory. 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
Development of Fingertip Type Non-grounding Force Feedback Display
Authors: Norio Nakamura, Yukio FUKUI
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

Force feedback displays to represent virtual objects with non-grounding and no reaction base on the human body are convenient and effective for mobile uses. Especially, these sensations are expected to be applied to ubiquitous/mobile/wearable interfaces for technical training, rehabilitation and telemanipulation in the variety fields of medical care, healthcare, and welfare. In this paper, fingertip type non-grounding force feedback display has been developed to represent the feeling of presence and shape of virtual objects continuously by downsizing to be mounted to fingertip and position feedback controlling. This display represents haptic sensation of vibration, torque, and force feedback in any arbitrary direction by controlling rotor acceleration and phase difference of eccentrically weighted rotators.
A Secure and Privacy Friendly 2D+3D Face Authentication System Robust Under Pose and Illumation Variation
Authors: Filareti Tsalakanidou, Christos Dimitriadis, Sotiris Malassiotis
Venue: Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services (2007)

An end-to-end face authentication system integrating 2D color images and depth data is presented in this paper, based on a low-cost sensor capable of real-time acquisition of 3D images and associated color images. Depth data is used for robust face detection, localization and 3D pose estimation, as well as for compensating pose and illumination variations of facial images prior to classification. The performance of the proposed system is tested on an extended face database recorded in real-world conditions, while a complete security and privacy analysis is conducted in order to ensure that all necessary countermeasures are built into the system.
A binaural auditory model for sound quality measurements and spatial hearing studies
Authors: M. Karajalainen
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

This paper addresses auditory modeling in relation to binaural applications. Relatively few studies so far exist where auditory modeling is extended to include advanced binaural features. There are numerous potential applications where such modeling may yield practical results or improved insight into the problem. The focus is to develop models for spatial sound quality measurements and general modeling of spatial hearing. The novelties of the paper are related to auditory filterbank designs, temporal processing schemes, and binaural processing strategies. 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
Mining Chinese Reviews
Authors: Bin Shi, Kuiyu Chang
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

We present a knowledge-based system to extract product feature-orientation (sentiment) pairs from on-line product reviews. Unlike the vast majority of existing approaches, our system first extracts strong implicit opinions, before searching for explicit product feature keywords. We call this the "opinion (O) first, feature (F) second" approach, which incidentally seems to work well with Chinese reviews. Our system relies heavily on a hierarchical product feature concept model (ontology) that lists popular feature and opinion vocabulary pertaining to a product genre. The concept model is built manually using product domain knowledge and subsequently expanded via a Chinese semantic lexicon. To the best of our knowledge, our work is among one of the first studies on Chinese product feature review extraction at the sentence segment resolution. Experiments comparing our approach to a well-known review mining algorithm shows the feasibility and robustness of our system.
Microreboot — A technique for cheap recovery
Authors: George Candea, Shinichi Kawamoto, Yuichi Fujiki, Greg Friedman, Armando Fox
Venue: Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6 (2004)

A significant fraction of software failures in large-scale Internet systems are cured by rebooting, even when the exact failure causes are unknown. However, rebooting can be expensive, causing nontrivial service disruption or downtime even when clusters and failover are employed. In this work we use separation of process recovery from data recovery to enable microrebooting - a fine-grain technique for surgically recovering faulty application components, without disturbing the rest of the application. We evaluate microrebooting in an Internet auction system running on an application server. Microreboots recover most of the same failures as full reboots, but do so an order of magnitude faster and result in an order of magnitude savings in lost work. This cheap form of recovery engenders a new approach to high availability: microreboots can be employed at the slightest hint of failure, prior to node failover in multi-node clusters, even when mistakes in failure detection are likely; failure and recovery can be masked from end users through transparent call-level retries; and systems can be rejuvenated by parts, without ever being shut down.
The matrix stick-breaking process for flexible multi-task learning
Authors: Ya Xue, David Dunson, Lawrence Carin
Venue: Proceedings of the 24th international conference on Machine learning (2007)

In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) prior can be used to encourage task clustering. However, the DP prior does not allow local clustering of tasks with respect to a subset of the feature vector without making independence assumptions. Motivated by this problem, we develop a new multitask-learning prior, termed the matrix stick-breaking process (MSBP), which encourages cross-task sharing of data. However, the MSBP allows separate clustering and borrowing of information for the different feature components. This is important when tasks are more closely related for certain features than for others. Bayesian inference proceeds by a Gibbs sampling algorithm and the approach is illustrated using a simulated example and a multi-national application.
Time dependent analysis of finite buffer fluid flows and risk models with a dividend barrier
Authors: Soohan Ahn, Andrei L. Badescu, V. Ramaswami
Venue: Queueing Systems: Theory and Applications (2007)

Based on the matrix-analytic approach to fluid flows initiated by Ramaswami, we develop an efficient time dependent analysis for a general Markov modulated fluid flow model with a finite buffer and an arbitrary initial fluid level at time 0. We also apply this to an insurance risk model with a dividend barrier and a general Markovian arrival process of claims with possible dependencies in successive inter-claim intervals and in claim sizes. We demonstrate the implementability and accuracy of our algorithms through a set of numerical examples that could also serve as test cases for comparing other solution approaches.
Pinocchio: conducting a virtual symphony orchestra
Authors: Bernd Bruegge, Christoph Teschner, Peter Lachenmaier, Eva Fenzl, Dominik Schmidt, Simon Bierbaum
Venue: Proceedings of the international conference on Advances in computer entertainment technology (2007)

We present a system that allows users of any skill to conduct a virtual orchestra. Tempo and volume of the orchestra's performance are influenced with a baton. Pinocchio works with several types of batons, differing in tracking method and in algorithms for gesture recognition. The virtual orchestra can be configured, allowing the muting, hiding and positioning of individual musicians or instrument groups in 3D space. The audio and video material is based on a professional recording session with the Bavarian symphony orchestra. Pinocchio's long-term goal is the creation of a multi-modal, device independent framework for gesture-based applications which require motor skills or the control and operation of a complex set of sensors in intelligent house or car driver assistance systems. In this paper, we describe the current development status of the project, detail its usage and finally give an overview over our future project goals.
Multistage multirate adaptive filters
Authors: G. A. Williamson
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

A procedure for the adaptation of multistage multirate filters is developed in the context of a system identification perspective. The system to be identified is the cascade of a multistage decimator followed by a multistage interpolator. For this structure, an identifiability condition is established which is sufficient to guarantee that the stagewise systems may be uniquely determined from input-output data in the ideal, exact model order case. An algorithm is then described that achieves exponential convergence of the system parameter estimates to their desired values given satisfaction of these identifiability conditions.
Real-Time Task Replication for Fault Tolerance in Identical Multiprocessor Systems
Authors: Jian-Jia Chen, Chuan-Yue Yang, Tei-Wei Kuo, Shau-Yin Tseng
Venue: Proceedings of the 13th IEEE Real Time and Embedded Technology and Applications Symposium (2007)

Multiprocessor platforms have been widely adopted in both embedded and server systems. In addition to the performance improvement, multiprocessor systems could have the flexibility in tolerating processor failures via task replication. This paper considers the replication of periodic hard real-time tasks in identical multiprocessor environments. Each task is replicated on K distinct processors, where K is a user-determined integer for fault tolerance to improve system reliability. When the objective is to minimize the maximum utilization in a system with a specified number of processors, we present a greedy algorithm with a 2-approximation ratio, and a polynomial-time approximation scheme is developed. For the minimization of the number of processors required to derive feasible schedules with task replication, we develop greedy algorithms with a 2- approximation ratio and an asymptotic polynomial-time approximation scheme.
Optimum channel shortening for discrete multitone transceivers
Authors: G. Arslan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

We propose an optimum channel shortening method for discrete multitone (DMT) transceivers. The proposed method shortens a given channel to a desired length while maximizing the number of bits transmitted on a DMT symbol. The key to the optimum solution is the definition of the SNR in a subchannel using the equivalent signal, noise, and ISI paths in the system. Our simulation results show that the proposed method outperforms the best existing method with a 18% increase in the bit rate. We show that the maximum shortening SNR method is a special case of the proposed method and both methods are nearly equivalent when the input energy distribution is constant over all subchannels.
Selecting an authoring program for undergraduate engineering computer-based instruction
Authors: N. Al-Holou, T. W. Savage
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

The Greenfield Coalition for New Manufacturing Education is a National Science Foundation-supported partnership of six diverse educational institutions, five top manufacturing companies, an international member-based educational society, and an operational manufacturing/teaching enterprise. Greenfield is a new model for manufacturing education based on the combination of skill and deep engineering knowledge resulting from an integration of engineering practice and innovative pedagogy. The coalition is creating next-generation courseware designed to integrate training issues with educational foundations. This is being accomplished by combining theory and practice in an interdisciplinary, team-oriented environment anchored to a "real-world" production floor. The Greenfield courses are designed to be modular in nature, and thus offer an ideal educational environment for multimedia-based CBI (computer-based instruction) delivery. In its efforts to standardize all of the Greenfield Coalition's CBI development efforts, the coalition's Information Technology Committee set up a methodology to select an authoring software tool which would best serve the coalition's faculty-based, courseware development needs. Today, intra-university coalition development teams made up of professors and students are designing and producing these learning programs using the innovative educational approaches and advanced information delivery techniques offered by multimedia CBI. This paper summarizes this selection process.
Matrix decomposition MFS algorithms for elasticity and thermo-elasticity problems in axisymmetric domains
Authors: Andreas Karageorghis, Yiorgos-Sokratis Smyrlis
Venue: Journal of Computational and Applied Mathematics (2007)

In this work, we propose an efficient matrix decomposition algorithm for the Method of Fundamental Solutions when applied to three-dimensional boundary value problems governed by elliptic systems of partial differential equations. In particular, we consider problems arising in linear elasticity in axisymmetric domains. The proposed algorithm exploits the block circulant structure of the coefficient matrices and makes use of fast Fourier transforms. The algorithm is also applied to problems in thermo-elasticity. Several numerical experiments are carried out.
Integration of Smart Home Technologies in a Health Monitoring System for the Elderly
Authors: Amaya Arcelus, Megan Howell Jones, Rafik Goubran, Frank Knoefel
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

Among older adults, the challenges of maintaining mobility and cognitive function make it increasingly difficult to remain living alone independently. As a result, many older adults are forced to seek residence in costly clinical institutions where they can receive constant medical supervision. A home-based automated system that monitors their health and well-being while remaining unobtrusive would provide them with a more comfortable and independent lifestyle, as well as more affordable care. This paper presents a smart home system for the elderly, developed by the Technology Assisted Friendly Environment for the Third Age (TAFETA) group. It introduces the sensor technologies integrated in the system and develops a framework for the processing and communication of the extracted information. It also considers the acceptability and implications of this technology from the perspective of the potential occupants.
Parameter interpolation to enhance the frame erasure robustness of CELP coders in packet networks
Authors: J. Wang
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02 (2001)

Frame erasure (FE) robustness is an important quality measure for voice over IP networks (VoIP). The recovery of the erased frames from the received information is crucial to realize this robustness. We allow the lost frames to be recovered from both the "previous" and "next" good frames. We first give quantitative distortion comparisons between predictive and interpolative frame recovery. Then we add FE-robust LSF coding modes to the popular ITU G.723.1 and G.729 CELP coders. These FE-robust modes utilize intraframe LSF VQ and invoke no bit-rate increase for the G.723.1 coder and a small increase (0.4 kb/s) for G.729. Simulations show that FE robust coding with interpolation achieves average spectral distortions 0.7-1.8 dB smaller than that of the original coders. Significant quality improvement was achieved by combined implementation of FE robust coding, LSF and pitch interpolation, and a proposed fixed codebook excitation recovery method.
Self-directed learning in an ASL course
Authors: W. Beston
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

Every study of engineering education and the skills required of practicing engineers lists life-long learning (LLL) as a necessary ingredient. And yet, there has been little developed in the way of formal preparation for engineering students so that they will become life-long learners. In fact, the loaded curriculum presented in most engineering programs works against developing the learning skills and love of learning required to be a successful LLL. Students do not have time to reflect on what they are learning or to explore personal interests through elective courses while in college. The seeds of effective LLL must be sown at the beginning of the program if the college experience is going to support this type of development in engineering students. Previously, a paper describing activities being introduced in the DTeC course at Binghamton University (BU) and the engineering science program at Broome Community College (BCC) to start students on the path toward becoming self-directed learners (SDL) was presented (S.B. Fellows et al., 2000). The paper describes developments during the past year (2000-2001) in implementing the SDL program at the two institutions.
Computational methods for automatic image registration
Authors: B. S. Manjunath
Venue:  (2007)

Image registration is the process of establishing correspondences between two or more images taken at different times, from different viewpoints, under different lighting conditions, and/or by different sensors, and aligning them with respect to a coordinate system that is coherent with the three dimensional structure of the scene. Once feature correspondences have been established and the geometric alignment has been performed, the images are combined to provide a representation of the scene that is both geometrically and photometrically consistent. This last process is known as image mosaicking. The primary contribution of this research is the development of computational frameworks that tackle in a general and principled way the problems arising in the construction of an image registration and mosaicking system. Specifically, we present a general theory to detect image point features that are suitable for matching. Our theory generalizes and extends much of the previous work on detecting feature locations. We introduce a novel, physically motivated curve/region descriptor suitable to establish image correspondences in a geometrically invariant fashion. New methods to estimate robustly the image transformation parameters in presence of large quantities of outliers and of multiple models are also presented. Finally we present a fully automated registration and mosaicking system that can produce seamless mosaics from image pairs. Extensive experimental results with biological images, satellite images and consumer photographs are presented.
Thermal modeling and management of DRAM memory systems
Authors: Jiang Lin, Hongzhong Zheng, Zhichun Zhu, Howard David, Zhao Zhang
Venue: Proceedings of the 34th annual international symposium on Computer architecture (2007)

With increasing speed and power density, high-performance memories, including FB-DIMM (Fully Buffered DIMM) and DDR2 DRAM, now begin to require dynamic thermal management(DTM) as processors and hard drives did. The DTM of memories, nevertheless, is different in that it should take the processor performance and power consumption into consideration. Existing schemes have ignored that. In this study, we investigate a new approach that controls the memory thermal issues from the source generating memory activities - the processor. It will smooth the program execution when compared with shutting down memory abruptly, and therefore improve the overall system performance and power efficiency. For multicore systems, we propose two schemes called adaptive core gating and coordinated DVFS. The first scheme activates clock gating on selected processor cores and the second one scales down the frequency and voltage levels of processor cores when the memory is to be over-heated. They can successfully control the memory activities and handle thermal emergency. More importantly, they improve performance significantly under the given thermal envelope. Our simulation results show that adaptive coregating improves performance by up to 23.3% (16.3% on average) on a four-core system with FB-DIMM when compared with DRAM thermal shutdown; and coordinated DVFS with control-theoretic methods improves the performance by up to 18.5% (8.3% on average).