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Informing daylighting design with the Lightsolve approach: Why and how

Informing daylighting design with the Lightsolve approach: W...

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25th International Conference on Passive and Low Energy architecture: Towards Zero Energy Building, PLEA 2008

作者： Andersen, Marilyne Kleindienst, Siân Yi, Lu Lee, Jaime Bodart, Magali Cutler, Barbara Building Technology Program Dept. of Architecture Massachusetts Institute of Technology United States Post-doctoral Researcher FNRS Architecture et Climat Université Catholique de Louvain Belgium Computer Science Department Rensselaer Polytechnic Institute United States

ISBN: (纸本)9781905254347

To efficiently and appropriately integrate daylighting strategies in their projects, building designers need reliable methods to address issues such as daily and seasonal variations or the balance between sufficient illumination with visual and thermal comfort aspects. This integration must also happen early in the design process to have a significant impact on energy savings and ultimate building performance. This paper proposes to address this need by fulfilling three major objectives: support the design process using a goal-oriented approach based on iterative design improvement suggestions;provide climate-based annual metrics in a visual and synthesized form;and relate quantitative and qualitative performance criteria thanks to a novel interface for browsing daylighting analysis data in various forms. A methodology to achieve these objectives is described here as the Lightsolve approach.

关键词： Daylighting

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From checklists to design process support systems: Initial framing 27

From checklists to design process support systems: Initial f...

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27th Annual Conference of the International Group for Lean Construction, IGLC 2019

作者： Pikas, Ergo Koskela, Lauri Oehmen, Josef Dave, Bhargav Department of Technology Management and Economics Technical University of Denmark Denmark University of Huddersfield Department of Architecture and 3D Design United Kingdom Department of Computer Science Aalto University Finland

Building project delivery is beset with many long-standing problems. Often, these problems, resulting in failures of facilities and cost-time overruns, are directly related to poor design and design management practices. This motivated the definition of the main aim to develop an initial framing for the design process support systems, incorporating ideas from the human error and performance management domains, and on checklists. In this conceptual paper, a literature review method is used. It is suggested that cognitive systems engineering could be used to conceptualize the designers work and to incorporate checklists into the design process. Then, key aspects and elements for the development of design process support systems are addressed. © 27th Annual Conference of the International Group for Lean Construction, IGLC 2019. All rights reserved.

关键词： Design

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Exploiting microarchitectural redundancy for defect tolerance

Exploiting microarchitectural redundancy for defect toleranc...

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IEEE International Conference on computer Design: VLSI in computers and Processors, (ICCD)

作者： Premkishore Shivakumar S.W. Keckler C.R. Moore D. Burger Computer Architecture and Technology Laboratory Department of Computer Sciences University of Technology Austin USA

The continued increase in microprocessor clock frequency that has come from advancements in fabrication technology and reductions in feature size, creates challenges in maintaining both manufacturing yield rates and long-term reliability of devices. Methods based on defect detection and reduction may not offer a scalable solution due to cost of eliminating contaminants in the manufacturing process and increasing chip complexity. We propose to use the inherent redundancy available in existing and future chip microarchitectures to improve yield and enable graceful performance degradation in fail-in-place systems. We introduce a new yield metric called performance averaged yield (Y/sub PAV/), which accounts both for fully functional chips and those that exhibit some performance degradation. Our results indicate that at 250nm we are able to increase the Y/sub PAV/ of a uniprocessor with only redundant rows in its caches from a base value of 85% to 98% using microarchitectural redundancy. Given constant chip area, shrinking feature sizes increases fault susceptibility and reduces the base Y/sub PAV/ to 60% at 50nm, which exploiting microarchitectural redundancy then increases to 99.6%.

关键词： Microarchitecture Redundancy Degradation Microprocessors Clocks Frequency Fabrication Maintenance Manufacturing Costs

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Design of Optimal Service Scheduling based Task Allocation for Improving CRM in Cloud Computing 6

Design of Optimal Service Scheduling based Task Allocation f...

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6th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2022

作者： Suvarna Kumar, G. Priyadarshini, R. Parmenas, Naik Henokh Tannady, Hendy Rabbi, Fazle Andiyan, Andiyan Cse Mvgr College of Engg India Vellore Institute of Technology School of Computer Science and Engineering Chennai India Kalbis Institute Department of Management Indonesia Australian Computer Society Australia Universitas Faletehan Department of Architecture Indonesia

ISBN: (数字)9781665469418

ISBN: (纸本)9781665469418

Cloud computing is a service level computing that provide various service to the customers in order to establish an effective customer Relationship management (CRM). This offers various services like virtual machine, self-service provisioning, elasticity computing and storage (pay-as-you-go). Cloud computing provides shared services by enhancing resource management scalability, interoperability and prediction resources as a key to realize the resource utilization with high-performance management metrics. However, when the number of users increase, the process of task scheduling and service allocation using a traditional computing environment will degrade the CRM. In order to address this challenge, this research study proposes an Optimal Service Level Scheduling (OSLS) based task allocation design for improving CRM in cloud computing environment. The Adaptive Service Level Scheduling Algorithm (ASLSA) and the Support Level Load Balancer (SLLB) will reduce the workload in cloud computing environment in order to improve the Quality of Service (QoS) of CRM. This process will optimize the resource utilization in cloud platform based on the service requirement. It provides optimal scheduling features to CRM in order to improve the service optimality based on task and enhance the computational processes such as service load management, heterogeneous service delivery, pricing, resource pools and elasticity. The proposed system leverages high performance when compared to the existing models. © 2022 IEEE.

关键词： Quality of service

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Composer recognition based on 2D-filtered piano-rolls 17

Composer recognition based on 2D-filtered piano-rolls

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17th International Society for Music Information Retrieval Conference, ISMIR 2016

作者： Velarde, Gissel Weyde, Tillman Chacón, Carlos Cancino Meredith, David Grachten, Maarten Department of Architecture Design and Media Technology Aalborg University Denmark Department of Computer Science City University London United Kingdom Austrian Research Institute for Artificial Intelligence Austria

ISBN: (纸本)9780692755068

We propose a method for music classification based on the use of convolutional models on symbolic pitch–time representations (i.e. piano-rolls) which we apply to composer recognition. An excerpt of a piece to be classified is first sampled to a 2D pitch–time representation which is then subjected to various transformations, including convolution with predefined filters (Morlet or Gaussian) and classified by means of support vector machines. We combine classifiers based on different pitch representations (MIDI and morphetic pitch) and different filter types and configurations. The method does not require parsing of the music into separate voices, or extraction of any other predefined features prior to processing;instead it is based on the analysis of texture in a 2D pitch–time representation. We show that filtering significantly improves recognition and that the method proves robust to encoding, transposition and amount of information. On discriminating between Haydn and Mozart string quartet movements, our best classifier reaches state-of-the-art performance in leave-one-out cross validation. © Gissel Velarde, Carlos Cancino Chacón, Tillman Weyde, David Meredith, Maarten Grachten.

关键词： Statistical methods

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Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification 1st

Recurrent Neural Networks and Efficiency in High-Dimensional...

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1st International Conference on Bioengineering and Biomedical Signal and Image Processing, BIOMESIP 2021

作者： León, Javier Escobar, Juan José González, Jesús Ortega, Julio Arrabal-Campos, Francisco Manuel Ortiz, Andrés Damas, Miguel Department of Computer Architecture and Technology CITIC University of Granada Granada Spain Department of Engineering University of Almería Almería Spain Department of Communications Engineering University of Málaga Málaga Spain

ISBN: (纸本)9783030881627

The performance of neural networks has granted deep learning a place at the forefront of machine learning in the last decade. Although these models are computationally intensive, their advantage is recognized in a wide array of applications. Nonetheless, the large amount of learnable parameters in neural networks can be a disadvantage for small and high-dimensional datasets. In this context, the relationship between solution quality and model complexity gains significance due to overfitting concerns. This is precisely the case of Electroencephalography (EEG), where the data consists in relatively few patterns obtained from multiple electrode readings. In this paper, we take a look at two widely-known types of Recurrent Neural Networks (RNNs), namely Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), which are evaluated on three EEG Motor Imagery (MI) datasets by measuring not only classification accuracy, but also time and energy consumption. Although the results are not entirely competitive with the state-of-the-art in the datasets considered, the interaction that occurs between the size of the networks and their accuracy provides us with valuable insight about network structure design in the context of the curse of dimensionality. © 2021, Springer Nature Switzerland AG.

关键词： Electroencephalography

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Convolution computation in FPGA based on carry-save adders and circular buffers

Convolution computation in FPGA based on carry-save adders a...

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3rd International ICST Conference on IT Revolutions, 2011

作者： Moreno, Carlos D. Martínez, Pilar Bellido, Francisco J. Hormigo, Javier Ortiz, Manuel A. Quiles, Francisco J. Computer Architecture Electronics and Electronic Technology Department University of Córdoba Spain Applied Physics Department EPS University of Córdoba Spain Computer Architecture Department University of Málaga Spain Campus Universitario de Rabanales 14071 Córdoba Spain Campus Universitario de Teatinos 29080 Málaga Spain

ISBN: (纸本)9783642323034

In this article, we present some architectures to carry out the convolution computation based on carry-save adders and circular buffers implemented on FPGAs. Carry-save adders are not frequent in the implementation in FPGA devices, since these have a fast carry propagation path. We make use of the specific structure of the FPGA to design an optimized accumulator which is able to deal with carry-save additions as well as carry-propagate additions using the same hardware. On the other hand, this structure of circular buffers allows the convolution computation of two signals with two algorithms of calculation: the input side algorithm and the output side algorithm, in a more efficient way. © 2012 ICST Institute for computer Science, Social Informatics and Telecommunications Engineering.

关键词： Field programmable gate arrays (FPGA)

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Multigrid-based fuzzy systems for time series prediction: CATS competition

Multigrid-based fuzzy systems for time series prediction: CA...

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International Joint Conference on Neural Networks (IJCNN)

作者： L.J. Herrera H. Pomares I. Rojas J. Gonzalez M. Awad A. Herrera Department of Computer Architecture and Computer Technology University of Granada Granada Spain

In this paper, the multigrid-based fuzzy system (MGFS) approach is applied for the CATS time series prediction benchmark. The MGFS architecture overcomes the problem inherent to all grid-based fuzzy systems when dealing with high dimensional input data, thus keeping low computational cost and high performance. A greedy algorithm for MGFS structure identification allows to perform the input variable selection for the time series prediction problem, while identifying the pseudo-optimal architecture according to the provided dataset.

关键词： Fuzzy systems Cats Input variables Predictive models computer architecture Function approximation Mean square error methods Training data Electronic mail Computational efficiency

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Fine control of monotonic systems using a global self-learning adaptive fuzzy controller

Fine control of monotonic systems using a global self-learni...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： H. Pomares I. Rojas L.J. Herrera J. Gonzalez A. Prieto Department of Computer Architecture & Computer Technology University of Granada Granada Spain

The goal of this paper is to achieve real time control of a monotonic system which, in general, may be non-linear and whose differential equations are unknown. We assume that there is no model of the plant available so there cannot be any off-line pre-training of the main controller parameters. We propose a both adaptive and self-learning algorithm capable of starting from a "void" fuzzy controller and, in real time, optimizing the fuzzy controller's rules (both antecedents and consequents) in order to translate the state of the plant to the desired value in the shortest possible time.

关键词： Control systems Programmable control Adaptive control Fuzzy control Fuzzy systems Tuning Differential equations Adaptive systems Nonlinear control systems computer architecture

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Classification of MRI Images for Alzheimer's Disease Detection

Classification of MRI Images for Alzheimer's Disease Detecti...

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IEEE International Conference on Social Computing (SocialCom)

作者： Luis Javier Herrera Ignacio Rojas H. Pomares A. Guillén O. Valenzuela O. Baños Computer Architecture and Computer Technology Department University of Granada Granada Spain

ISBN: (纸本)9781479915194

Alzheimer's Disease (AD) is normally identified by several behavioral symptoms often mistakenly associated to age-related concerns or stress. However correct diagnosis and monitoring of the disease requires of additional resources. This paper presents a new methodology for classification of Alzheimer's disease from MR images for medical support. A large database with more than one thousand patients was used. Two different problems are tackled in this work: a first one where a classification method is developed to classify MR images as either normal or with the Alzheimer's disease and a second one for the identification and classification between normal subjects, MCI patients and AD patients. It is noteworthy that with this last study we could offer a tool to assist the early diagnosis of dementia. The outline of the methodology includes wavelet feature extraction from the MRIs, dimensionality reduction, training-test subdivision and classification using Support Vector Machines. Some concerns related to performance evaluation and dimensionality reduction are discussed.

关键词： Principal component analysis Feature extraction Alzheimer's disease Support vector machines Wavelet transforms Atrophy

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