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Thermal aware test scheduling for stacked multi-chip-modules

Thermal aware test scheduling for stacked multi-chip-modules

引用

East-West design and Test Symposium

作者： Vinay, N.S. Rawaty, Indira Larssonz, Erik Gaurx, M.S. Singh, Virendra Cisco Systems Bangalore India Electrical Enggineering Dept. Engineering College Ajmer India Dept. of Computer Science Linkoping University Linkoping Sweden Computer Engineering Dept. Malaviya National Institute of Technology Jaipur India Computer Design and Test Lab. Indian Institute of Science Bangalore India

ISBN: (纸本)9781424495566

In an attempt to increase the area utilization of multi-chip packages, manufacturers have started looking at 3D packaging. The 3D structures have either dies or chips stacked one above the other. These 3D structures have low thermal capabilities, and hence the thermal issues get aggravated during testing. In this paper, thermal aware test scheduling techniques for stacked structures is proposed. Care is taken to schedule the stacked partitions appropriately to prevent local heating and achieve uniform vertical temperature spread. Concurrent testing of dies is considered for reduced test time and existing test architecture is employed. The widely used global peak power model gives a pessimistic estimate of the power profile. A new partition scheme is proposed for the power profile based on power variations and true power. This scheme of power profile partitioning which is a trade-off between a cycle accurate model and global peak model offers both flexibility during scheduling and also reduces total false power. The power profile partitions are scheduled through algorithms based on heuristics. System model of the 3D stack is obtained from the linear RC-models after considering the various factors that affect the heat flow and die temperatures. Simulation results show that the proposed technique achieves uniform temperature spread across the 3D structure. © 2010 IEEE.

关键词： Economic and social effects

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Model-based tracking: Temporal conditional random fields

Model-based tracking: Temporal conditional random fields

引用

IEEE International Conference on Image Processing

作者： M.J. Shafiee Z. Azimifar P. Fieguth School of Electrical & Computer Engineering Shiraz University Shiraz Iran Systems Design Engineering University of Waterloo Waterloo Canada

We present Temporal Conditional Random Fields, a probabilistic framework for modeling object motion. The state-of-the-art discriminative approach for tracking is known as dynamic conditional random fields. This method models an event based on spatial and temporal relation between pixels in an image sequence without any prediction. To facilitate such a powerful graphical model with prediction and come up with a CRF-based predictor, we propose a set of new temporal relations for object tracking, with feature functions such as optical flow (calculated among consequent frames) and line filed features. We validate our proposed method with real data sequences and will show that the TCRF prediction is nearly equivalent with result of template matching. Experimental results indicate that our TCRF can predict future state of any maneuvering target with nearly zero error during its constant motion. Not only the proposed TCRF has a simple and easy to implement structure, but also it outperforms the state-of-the-art predictors such as Kalman filter.

关键词： Computational modeling Kalman filters Training Target tracking Data models Optical imaging

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An intelligent model to construct specialized domain ontologies

An intelligent model to construct specialized domain ontolog...

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International Conference on computer Science and Information Technology (CSIT)

作者： A. Mooman O. Basir A. Younes Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada Department of Systems Design Engineering University of Waterloo Waterloo Canada

Search engines and information retrieval (IR) systems provide a mechanism for users to access large amounts of information available through the Internet. However, in order to find the desired information, the user has to go through a staggering amount of information retrieved from highly dynamic resources. Experimental results show that the approach proposed for constructing specialized domains improves the precision of information retrieval. Our approach involves enriching the user's query with related linguistic semantic and statistical semantic related concept terms. We employ natural language process (NLP) techniques such as WordNet engine to enrich the user's query with semantic lexical synonymous terms and a probabilistic topic model such as latent dirichet allocation (LDA) to extract highly ranked topic from a query's retrieved information. Furthermore, an intelligent learning algorithm, reinforcement learning (RL) is integrated into the design to assist end users in selecting the concept domains that are most relevant to their needs.

关键词： Variable speed drives Ontologies

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Fusion Based Approach for Distributed Alarm Correlation in computer Networks

Fusion Based Approach for Distributed Alarm Correlation in C...

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International Conference on Communication Software and Networks, ICCSN

作者： Abduljalil A. Mohamed Otman Basir Department of Systems Design Engineering University of Waterloo Waterloo Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada

ISBN: (纸本)9781424457267;9780769539614

We propose a new distributed alarm correlation and fault identification in computer networks. The managed network is divided into a disjoint management domains and each management domain is assigned a dedicated intelligent agent. The intelligent agent is responsible for collecting, analyzing, and correlating alarms emitted form emitted from its constituent entities in its domain. In the framework of Dempster-Shafer evidence theory, each agent perceives each alarm as a piece of evidence in the occurrence of a certain fault hypothesis and correlates the received alarms into a single alarm called local composite alarm, which encapsulates the agent's partial view of the current status of the managed system. While the alarm correlation process is performed locally, each intelligent agent is able to correlate its alarms globally. These local composite alarms are, in turn, sent to a higher agent whose task is to fuse these alarms and form a global view of operation status of the running network. Extensive experimentations have demonstrated that the proposed approach is more alarm loss tolerant than the codebook based approaches and hence shown its effectiveness in a usually noisy network environment.

关键词： computer networks computer network management Fault diagnosis Protocols Intelligent agent ISO standards Fault detection Neural networks Management training Communication system software

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Oppositional fuzzy image thresholding

Oppositional fuzzy image thresholding

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Fares S. Al-Qunaieer Hamid R. Tizhoosh Shahryar Rahnamayan Systems Design Engineering University of Waterloo Waterloo ONT Canada Electrical and Computer Engineering Ontario Institute of Technology Oshawa ONT Canada

In many image processing applications, image thresholding is considered to be an important task. Opposition-Based Learning (OBL) was recently introduced and used to enhance different computation algorithms. In this paper, a new thresholding algorithm is proposed by utilizing the concept of opposite fuzzy sets. The algorithm is applied on general set of images and compared with the previous opposition-based thresholding algorithm [1] and a commonly used thresholding method, namely the Otsu method. The most reliable results on the test data are achieved using the proposed algorithm.

关键词： Fuzzy sets Pixel Entropy Histograms Algorithm design and analysis Image segmentation

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Temporal Conditional Random Fields: A conditional state space predictor for visual tracking

Temporal Conditional Random Fields: A conditional state spac...

引用

Iranian Machine Vision and Image Processing (MVIP)

作者： M. J. Shafiee Z. Azimifar P. Fieguth Computer Vision and Pattern Recognition Laboratory School of Electrical & Computer Engineering Shiraz University Shiraz Iran Systems Design Engineering University of Waterloo Waterloo Canada

We present a modified Temporal Conditional Random Fields framework for modeling and predicting object motion. To facilitate such a powerful graphical model with prediction and come up with a CRF-based predictor, we propose a set of new temporal relations for object tracking, with feature functions such as optical flow (calculated among consequent frames). We evaluate our proposed Temporal Conditional Random Field method with real and synthetic data sequences and will show that the TCRF prediction is nearly equivalent with result of template matching. Experimental results show that our proposed method estimates future target state with zero error until target dynamic changes. Our proposed modified CRF method with simple and easy to implement feature functions, can learn any target dynamic, thus, it can predict next state of target with zero error.

关键词： Computational modeling Hidden Markov models computer vision Predictive models Kalman filters Image motion analysis Dynamics

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Sampling Spiking Neural Network electronic nose on a tiny-chip

Sampling Spiking Neural Network electronic nose on a tiny-ch...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： Hoda S. Abdel-Aty-Zohdy Jacob N. Allen Microelectronics & Bio-Inspired Systems Design Department of electrical and Computer Engineering Oakland University Rochester MI USA

Chemicals classification using a new Sampling Spiking Neural Network (SSNN) approach is presented in this paper with experimental measurements using the Cyranose 320 sensor array. The network is unique in its minimal yet powerful design which implements on chip learning and parallel monitoring to detect binary odor patterns with high noise environment. The SSNN architecture is further implemented on a 0.5 um CMOS technology tiny-chip designed to work in conjunction with a 256 K external SRAM memory. It handles the routing of spike signal among 32,000 synapses and 255 neurons. At the same time, it tracks and records learning statistics. The chip can be used in parallel with other SSNN co processors for very large systems. Experimental measurements of our SSNN E-Nose classifier, compared to other E-nose systems proved superior in capability, size, and correctness.

关键词： Sampling methods Neural networks Electronic noses Sensor arrays Chemical sensors Semiconductor device measurement CMOS technology Network-on-a-chip Monitoring Working environment noise

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Relationship Between Power Loss and Network Topology in Power systems

Relationship Between Power Loss and Network Topology in Powe...

引用

2010 49th IEEE Conference on Decision and Control

作者： Javad Lavaei Steven H. Low Department of Control and Dynamical Systems California Institute of Technology Computer Science and Electrical Engineering Departments California Institute of Technology

ISBN: (纸本)9781424477456

This paper is concerned with studying how the minimum power loss in a power system is related to its network topology. The existing algorithms in the literature all exploit nonlinear, heuristic, or local search algorithms to find the minimum power loss, which make them blind to the network topology. Given certain constraints on power level, bus voltages, etc., a linear-matrix-inequality (LMI) optimization problem is derived, which provides a lower bound on the minimum active loss in the network. The proposed LMI problem has the property that its objective function depends on the loads and its matrix inequality constraint is related to the topology of the power system. This property makes it possible to address many important power problems, such as the optimal network reconfiguration and the optimal placement/sizing of distributed generation units in power systems. Moreover, a condition is provided under which the solution of the given LMI problem is guaranteed to be exactly equal to the minimum power loss. As justified mathematically and verified on IEEE test systems, this condition is expected to hold widely in practice, implying that a practical power loss minimization problem is likely to be solvable using a convex algorithm.

关键词： power loss power systems Network topology SEARCHING ALGORITHM inequality constraint Network reconfiguration

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An Intelligent Model to Construct Specialized Domain Ontologies

An Intelligent Model to Construct Specialized Domain Ontolog...

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2010 3rd IEEE International Conference on computer Science and Information Technology—ICCSIT 2010

作者： A. Mooman O. Basir A. Younes Dept. of Electrical and Computer Engineering University of Waterloo Waterloo Canada Dept. of Systems Design Engineering University of Waterloo Waterloo Canada

关键词： Internet LDA domain WordNet An Intelligent Model to Construct Specialized Domain Ontologies Model

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Stochastic analysis of a local distribution company voltage profile under uncertain energy supply from a photovoltaic system

Stochastic analysis of a local distribution company voltage ...

引用

International Conference on European Electricity Market, EEM

作者： Yousef El-Mabruk Saad K. Ponnambalam R. A. El-Shatshat Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada Systems Design Engineering Department University of Waterloo Waterloo ONT Canada

Recently in Ontario, Canada new installations of renewable distributed generation are being encouraged. Incentives are provided to producers directly by the government when energy is fed to the grid. This however has brought the attention of operators of local distribution companies to the issue of assuring the quality of supply to downstream customers when the grid receives this new and highly varying energy. As a result of these variations, the voltage may deviate from the standard levels. This paper investigates the impacts of installing a PV system, with considerable capacity compared to the network demand, on the voltage profile of an existing distribution network. Monte Carlo technique is applied focusing on the voltage profile by solving the steady state load flow model every 15-min time interval. A distribution system supplying a significant part of the region is considered as a case study.

关键词： Niobium Biological system modeling Green products

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