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International Conference on VLSI Design

作者： Amir-Mohammad Rahmani Masoud Daneshtalab Ali Afzali-Kusha Saeed Safari Masoud Pedram Nanoelectronics Center of Excellence School of Electrical and Computer Engineering University of Tehran Iran Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

In this paper, we present a dynamic power management technique for optimizing the use of virtual channels in network on chips. The technique which is called dynamic virtual channels allocation (DVCA) makes use of the traffic conditions and past buffer utilization to dynamically forecast the number of virtual channels that should be active. In this technique, for low(high) traffic loads, a small (large) number of VCs are allocated to the corresponding input channel. This provides us with the ability to reduce the power consumption of the router while maintaining the data communication rate. To assess the efficacy of the proposed method, the network on chip has been simulated using several traffic profiles. The simulation results show that up to 35% reduction in the buffer power consumption and up to 20% savings in the overall router power consumption may be achieved. Finally, the area and power overheads of the technique are negligible.

关键词： Channel allocation Network-on-a-chip Switches Energy consumption Communication switching Data communication Delay Throughput Design optimization Telecommunication traffic

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Work in progress - outreach and retention in the University of Utah engineering programs

Work in progress - outreach and retention in the University ...

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Frontiers in Education (FIE) Conference

作者： Amy Aldous Bergerson Cynthia Furse Department of Educational Leadership and Policy University of Utah USA Center of Excellence for Smart Sensors Department of Electrical and Computer Engineering University of Utah USA

For several decades, college student retention research has focused on the importance of engaging college students in their higher education environment as a tool for helping them attain their degrees. Student Affairs administrators across the United States have incorporated the idea of engagement in their programs and services to increase student retention. This work in progress paper describes how the College of engineering at the University of Utah has incorporated the concept of engagement into its retention efforts in response to a shortage of engineers in the state. Engagement efforts in this National Science Foundation funded project include participation in outreach teams, facilitating a summer innovation summit, participating in learning community courses, and implementing service learning. The paper focuses on unique elements of the program, incorporating qualitative evaluation data from the first year of the project to describe how lessons learned have shaped second year efforts.

关键词： Educational institutions Collaborative work Educational programs Best practices Data engineering engineering students Recruitment Technological innovation Joining processes Collaboration

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Environment Recognition from Audio Using MPEG-7 Features

Environment Recognition from Audio Using MPEG-7 Features

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International Conference on Embedded and Multimedia Computing (EM-Com)

作者： Ghulam Muhammad Khaled Alghathbar College of Computer & Information Science Center of Excellence in Information Assurance & Department of Computer Engineering King Saud University Riyadh Saudi Arabia Center of Excellence in Information Assurance College of Computer & Information Sciences King Saud University Riyadh Saudi Arabia

In this paper, we introduce a full use of MPEG-7 audio features for environment recognition from audio for different multimedia applications. Environment recognition from audio files is a growing area of interest, however, compared to other branches of multimedia it is a less researched one. To recognize environment, we utilize total of 17 temporal and spectral MPEG-7 audio low level descriptors as features. The performance is compared with Mel-frequency cepstral coefficients (MFCC) features. Experimental results show a significant improvement of the proposed MPEG-7 based environment recognition over that of the conventional MFCC based features. Zero-crossing rate is appended with the MPEG-7 based feature to yield even better performance. The best performance is achieved with combined MFCC, MPEG-7 and zero crossing features.

关键词： MPEG 7 Standard Mel frequency cepstral coefficient Matching pursuit algorithms Speaker recognition Hidden Markov models Application software Speech recognition Independent component analysis Educational institutions Cepstral analysis

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Fixed Order Multivariable Discrete-Time Control

Fixed Order Multivariable Discrete-Time Control

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： L.H.Keel S.P.Bhattacharyya Center of Excellence in Information Systems Tennessee State University Department of Electrical and Computer Engineering Texas A&M UniversityCollege Station

In this paper we develop a new algorithm to compute stabilizing sets for a fixed order digital controller for a multivariable *** computation is crucial in applications and few results are *** algorithm is based on a)the Tchebyshev representation of the unit circle image of a polynomial,b) recent results on sign-definite decomposition and c) bounded phase results from Robust *** are combined to capture the unit circle image set of a polynomial over an interval set of *** algorithm can be used recursively to obtain inner approximations of stabilizing *** are included to illustrate the algorithm.

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Rapid automatic segmentation and visualization of teeth in CT-scan data

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Journal of Applied Sciences 2009年第11期9卷 2031-2044页

作者： Akhoondali, H. Zoroofi, R.A. Shirani, G. Control and Intelligent Processing Center of Excellence Faculty of Engineering School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Oral and Maxillofacial Surgery Faculty of Dentistry Medical Science University of Tehran Tehran Iran

In this study, a fast automatic method is proposed for the segmentation and visualization of teeth in multi-slice CT-scan data of the head. The algorithm consists of five main procedures. In the first part, the mandible and maxilla are separated using maximum intensity projection in the y direction and a step like region separation algorithm. In the second part, the dental region is separated using maximum intensity projection in the z direction, thresholding and cropping. In the third part, the teeth are rapidly segmented using a region growing algorithm based on four thresholds which are used to distinguish between seed points, teeth and none teeth tissue. In the fourth part, the results are visualized using iso-surface extraction and surface and volume rendering. A semi-automatic method is also proposed for rapid metal artifact removal. Results on multiple dadasets have shown the success of the algorithm with the dental region separation and segmentation procedure taking an average of only 2.4 sec to complete for each jaw making it at least tens of times faster than any previously proposed method. © 2009 Asian Network for Scientific Information.

关键词： computerized tomography

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Fully automatic extraction of panoramic dental images from CT-scan volumetric data of the head

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Journal of Applied Sciences 2009年第11期9卷 2106-2114页

In this study, a fully automatic technique is proposed for the extraction of panoramic dental images from CT-scan images of the teeth. The process is performed in three steps: Mandibular region isolation, mandibular curve creation and panoramic image extraction. First the mandibular region is isolated. To do this the maxilla and mandible are separated from each other by finding the slice separating them. Then an image of the maximum intensity projection of the slices containing the mandible is obtained. The projection of the mandible is then isolated from the other bones. Using the isolated mandible region an initial curve is created. Nine control points are then selected on the curve. These control points are used to create a fine curve using cubic splines. The formula for each spline segment is used to find the perpendicular lines to the spline on each point on the spline. These perpendicular lines are then used in all slices (mandible and maxilla) to create the panoramic images. The algorithm has many advantages over earlier methods. Results using multiple datasets have shown that the algorithm is robust. © 2009 Asian Network for Scientific Information.

关键词： computerized tomography

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Neuro-fuzzy based fault diagnosis of a Steam Generator

Neuro-fuzzy based fault diagnosis of a Steam Generator

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, SAFEPROCESS'09

作者： Razavi-Far, Roozbeh Davilu, Hadi Palade, Vasile Lucas, Caro Department of Nuclear Engineering Amirkabir University of Technology P.O. Box 15875 4413 Tehran Iran Computing Laboratory Oxford University Wolfson Building Parks Road Oxford OX1 3QD United Kingdom Center of Excellence on Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395 1515 Tehran Iran

ISBN: (纸本)9783902661463

This paper focuses on the development and application of a Neuro-Fuzzy (NF) networks-based scheme for Fault Detection and Isolation (FDI) in a U-tube Steam Generator (UTSG). First, a NF network is trained with data collected from a full scale UTSG simulator, and residuals are generated for fault detection. To identify the UTSG, a Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained using the Locally Linear Model Tree (LOLIMOT) algorithm which is an incremental tree structure algorithm. Then, an evolutionary algorithm is used to train a Mamdani type NF network to classify the residuals. The residuals are analyzed by using this NF classifier for fault isolation purposes. © 2009 IFAC.

关键词： Fault detection

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Polynomial kernel function and its application in locally polynomial neurofuzzy models

Polynomial kernel function and its application in locally po...

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International CSI computer Conference, CSICC

作者： A. Shirvani H. Chegini S. Setayeshi C. Lucas Tehran Science and Research Branch Computer Engineering Department Islamic Azad University Iran Faculty of Nuclear Engineering and Physics Amirkabir University of Technology슠 Tehran Iran Electrical and Computer Engineering Department Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

Polynomials are one of the most powerful functions that have been used in many fields of mathematics such as curve fitting and regression. Low order polynomials are desired for their smoothness, good local approximation and interpolation. Being smooth, they can be used to locally approximate almost any derivable function. This means that when linear functions fail in approximation (e.g. where the first order Taylor expansion equals zero) polynomial functions can be used in local approximation, such that one can achieve better estimations at extremums. In this paper, application of polynomial kernel functions in locally linear neurofuzzy models is shown. Using polynomial kernels in local models, better local approximations in prediction of chaotic time series such as Mackey-Glass is achieved, and the capability of the neurofuzzy network is enhanced.

关键词： Polynomials Kernel Neurons Predictive models Power engineering and energy Chaos Application software Physics computing Power engineering computing Taylor series

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Factoring Dynamic Bayesian Networks Based on Structural Observability

Factoring Dynamic Bayesian Networks Based on Structural Obse...

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： Indranil Roychoudhury Gautam Biswas Xenofon Koutsoukos SGT Inc.at NASA Ames Research Center Institute for Software Integrated Systems and the Department of Electrical Engineering and Computer ScienceVanderbilt University

Dynamic Bayesian Networks(DBNs) provide a systematic framework for robust online monitoring of dynamic *** paper presents an approach for increasing the efficiency of online estimation by partitioning a system DBN into a set of smaller factors,such that estimation algorithms can be applied to each factor *** factoring scheme is based on the analysis of structural observability of the dynamic *** establish the theoretical background for structural observability and derive an algorithm for generating the factors using structural observability *** present experimental results to demonstrate the effectiveness of our factoring approach for accurate estimation of system behavior.

关键词： DBN Factoring Dynamic Bayesian Networks Based on Structural Observability Bayesian

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An efficent dynamic multicast routing protocol for distributing traffic in NOCs 09

An efficent dynamic multicast routing protocol for distribut...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Masoumeh Ebrahimi Masoud Daneshtalab Mohammad Hossein Neishaburi Siamak Mohammadi Ali Afzali-Kusha Juha Plosila Hannu Tenhunen Department of Information Technology University of Turku Turku Finland Nanoelectronics Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9783981080155

Nowadays, in MPSoCs and NoCs, multicast protocol is significantly used for many parallel applications such as cache coherency in distributed shared-memory architectures, clock synchronization, replication, or barrier synchronization. Among several multicast schemes proposed in on chip interconnection networks, path-based multicast scheme has been proven to be more efficient than the tree-based, and unicast-based. In this paper a low distance path-based multicast scheme is proposed. The proposed method takes advantage of the network partitioning, and utilizing of an efficient destination ordering algorithm. The results in performance, and power consumption show that the proposed method outstands the previous on chip path-based multicasting algorithms.

关键词： Multicast protocols Routing protocols Network-on-a-chip Synchronization Multicast algorithms Partitioning algorithms Telecommunication traffic Clocks Multiprocessor interconnection networks Energy consumption

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