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Performance-Based Analysis Of Steel Buildings: Special Concentric Braced Frame, Scott Michael Adams 2010 California Polytechnic State University – San Luis Obispo

Performance-Based Analysis Of Steel Buildings: Special Concentric Braced Frame, Scott Michael Adams

Master's Theses and Project Reports

The performance-based analysis methods and evaluation criteria in ASCE 41-06 were used to evaluate a special concentric braced frame building based on the design standards in ASCE 7-05. A rectangular, six-story office building was evaluated using linear static, linear dynamic, nonlinear static, and nonlinear dynamic procedures. The results showed that the linear procedures underestimated damage compared to the nonlinear procedures, with the building performing to Life Safety for the linear procedures, and the nonlinear procedures indicating component damage beyond the intended Life Safety limit for the 2/3 maximum considered earthquake (MCE) hazard. This trend continued to the maximum considered ...


An Investigation Of Damage Arrestment Devices Application With Fastener/Hole Interaction, Richard Vincent S. Balatbat 2010 California Polytechnic State University San Luis Obispo

An Investigation Of Damage Arrestment Devices Application With Fastener/Hole Interaction, Richard Vincent S. Balatbat

Master's Theses and Project Reports

This thesis presents a parametric study on the effects of how damage arrestment devices application interacts with a fastener in a composite sandwich panel. The primary objective of the damage arrestment device was to prevent the failure of the composite face sheet, such as crack propagation, around the hole/fastener joint. The damage arrestment devices are made of composite strips that are inserted under the face sheet to increase the overall structural strength of the panel and to prevent the propagation of failure along the hole. This was supposed to be a quicker and stronger alternative to potted inserts for ...


Fast Bilateral Filtering By Adapting Block Size, Wei Yu, Franz Franchetti, James C. Hoe, Yao-Jen Chang, Tsuhan Chen 2010 Carnegie Mellon University

Fast Bilateral Filtering By Adapting Block Size, Wei Yu, Franz Franchetti, James C. Hoe, Yao-Jen Chang, Tsuhan Chen

Department of Electrical and Computer Engineering

Direct implementations of bilateral filtering show O(r2) computational complexity per pixel, where r is the filter window radius. Several lower complexity methods have been developed. State-of-the-art low complexity algorithm is an O(1) bilateral filtering, in which computational cost per pixel is nearly constant for large image size. Although the overall computational complexity does not go up with the window radius, it is linearly proportional to the number of quantization levels of bilateral filtering computed per pixel in the algorithm. In this paper, we show that overall runtime depends on two factors, computing time per pixel per level ...


Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study, Ole J. Mengshoel, Mark Chavira, Keith Cascio, Adnan Darwiche, Scott Poll, Serdar Uckun 2010 Carnegie Mellon University

Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study, Ole J. Mengshoel, Mark Chavira, Keith Cascio, Adnan Darwiche, Scott Poll, Serdar Uckun

Silicon Valley Campus

We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i.e., the Advanced Diagnostic and Prognostic Testbed (ADAPT) located at the NASA Ames Research Center. Our probabilistic approach is formally well founded and based on Bayesian networks (BNs) and arithmetic circuits (ACs). We pay special attention to meeting two of the main challenges often associated with real-world application of model-based diagnosis technologies: model development and real-time reasoning. To address the challenge of model development, we develop a systematic approach to representing EPSs as ...


A Software Application For The Selection Of Temperature Measuring Sensors Using The Analytic Hierarchy Process (Ahp), Shadi Mohammad AL-B'ool 2010 Binghamton University--SUNY

A Software Application For The Selection Of Temperature Measuring Sensors Using The Analytic Hierarchy Process (Ahp), Shadi Mohammad Al-B'Ool

Systems Science and Industrial Engineering Student Scholarship

This study presents a computer program that applies analytic hierarchy process (AHP) method to objectively select the best temperature sensors for various applications from multiple nominated alternatives. The underlying decision method based on AHP methodology, ranks temperature sensors with different features with a score resulting from the synthesis of relative preferences of each alternative to the others at different levels considering independent evaluation criteria. At each level, relative preferences of each candidate alternative with respect to the upper immediate level are calculated from pair-wise comparisons among the candidate alternative sensors based on the specifications of sensors with respect to a ...


Integration Of Feedstock Assembly System And Cellulosic Ethanol Conversion Models To Analyze Bioenergy System Performance, Jared M. Abodeely, Douglas S. McCorkle, Kenneth M. Bryden, David J. Muth Jr., Daniel Wendt, Kevin Kenney 2010 Idaho National Laboratory

Integration Of Feedstock Assembly System And Cellulosic Ethanol Conversion Models To Analyze Bioenergy System Performance, Jared M. Abodeely, Douglas S. Mccorkle, Kenneth M. Bryden, David J. Muth Jr., Daniel Wendt, Kevin Kenney

Ames Laboratory Conference Papers, Posters, and Presentations

Research barriers continue to exist in all phases of the emerging cellulosic ethanol biorefining industry. These barriers include the development of sustainable and abundant biomass feedstock, the assembly of viable assembly systems formatting the feedstock and moving it from the field (e.g., the forest) to the biorefinery, and improving conversion technologies. Each of these phases of cellulosic ethanol production are fundamentally connected, but computational tools used to support and inform analysis within each phase remain largely disparate. This paper discusses the integration of a feedstock assembly system modeling toolkit and an Aspen Plus® conversion process model. Many important biomass ...


Odor And Odorous Chemical Emissions From Animal Buildings: Part 2—Odor Emissions, Neslihan Akdeniz, Larry D. Jacobson, Brian P. Hetchler, S. D. Bereznicki, Albert J. Heber, R. B. Jacko, Katherine Y. Heathcote, Steven J. Hoff, Jacek A. Koziel, Lingshuang Cai, Shicheng Zhang, David B. Parker, Edward A. Caraway 2010 University of Minnesota–Twin Cities

Odor And Odorous Chemical Emissions From Animal Buildings: Part 2—Odor Emissions, Neslihan Akdeniz, Larry D. Jacobson, Brian P. Hetchler, S. D. Bereznicki, Albert J. Heber, R. B. Jacko, Katherine Y. Heathcote, Steven J. Hoff, Jacek A. Koziel, Lingshuang Cai, Shicheng Zhang, David B. Parker, Edward A. Caraway

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

This study was an add-on project to the National Air Emissions Monitoring Study (NAEMS) and focused on comprehensive measurement of odor emissions. Odor emissions from two animal species (dairy and swine) from four sites with nine barns/rooms (two dairy barns in Wisconsin, two dairy barns and two swine rooms in Indiana, and three swine barns in Iowa) during four cycles (13-week periods) were measured. Odor samples were analyzed in three olfactometry laboratories and no significant difference was found among these laboratories. The highest ambient odor concentrations and barn odor emissions were measured for the Iowa swine site. The most ...


Application Of Cuda In The Boolean Domain For The Unate Covering Problem, Eric Paul, Bernd Steinbach, Marek Perkowski 2010 Portland State University

Application Of Cuda In The Boolean Domain For The Unate Covering Problem, Eric Paul, Bernd Steinbach, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

NVIDIA’s Compute Unified Device Architecture (CUDA) is a relatively-recent development that allows to realize very fast algorithms for several Constraint Satisfaction and Computer Aided Design tasks. In this paper we present an approach to use Graphics Processing Units (GPU) and CUDA for solving Unate Covering Problem, a practical problem related to SAT. In particular we present a CUDA-enabled Petrick Function Minimizer. We compare the performance of a pipeline-processor (CPU) and a parallel processor (GPU) implementation of the matrix-multiplication method for solving unate covering problems.


Pole Arrangements That Introduce Prismatic Joints Into The Design Space Of Four- And Five-Position Rigid-Body Synthesis, David H. Myszka, Andrew P. Murray 2010 University of Dayton

Pole Arrangements That Introduce Prismatic Joints Into The Design Space Of Four- And Five-Position Rigid-Body Synthesis, David H. Myszka, Andrew P. Murray

Mechanical and Aerospace Engineering Faculty Publications

Although a general five-position, rigid-body guidance problem admits a discrete number of revolute–revolute (RR) dyads, this paper identifies arrangements of five task positions that result in a center-point curve. For these special arrangements, a one-dimensional set of revolute-prismatic (RP) dyads exist to achieve the task positions. Other five-position arrangements are identified where a one-dimensional set of prismatic-revolute (PR) dyads exist to achieve the task positions. For a general case of five task positions, neither PR nor RP dyads are possible. In a general case of four-position rigid-body guidance problems, a unique PR dyad and RP dyad exist. Four-position arrangements ...


Physical And Chemical Characterization Of Fuel Ethanol Coproducts Relevant To Value-Added Uses, Rumela Bhadra, Kurt A. Rosentrater, Kasiviswanathan Muthukumarappan 2010 South Dakota State University

Physical And Chemical Characterization Of Fuel Ethanol Coproducts Relevant To Value-Added Uses, Rumela Bhadra, Kurt A. Rosentrater, Kasiviswanathan Muthukumarappan

Kurt A. Rosentrater

One of the fastest growing industries in the United States is the fuel ethanol industry. In terms of ethanol production capability, the industry has grown by more than 600% since the year 2000. The major coproducts from corn-based ethanol include distillers dried grains with solubles (DDGS) and carbon dioxide. DDGS is used as a livestock feed because it contains high quantities of protein, fiber, amino acids, and other nutrients. The goal of this study was to quantify various chemical and physical properties of DDGS, distillers wet grains (DWG), and distillers dried grain (DDG) from several plants in South Dakota. Chemical ...


Kinetics Of Dna And Rna Hybridization In Serum And Serum-Sds, Elton Graugnard, Amber Cox, Jeunghoon Lee, Cheryl Jorcyk, Bernard Yurke, William L. Hughes 2010 Boise State University

Kinetics Of Dna And Rna Hybridization In Serum And Serum-Sds, Elton Graugnard, Amber Cox, Jeunghoon Lee, Cheryl Jorcyk, Bernard Yurke, William L. Hughes

Materials Science and Engineering Faculty Publications and Presentations

Cancer is recognized as a serious health challenge both in the United States and throughout the world. While early detection and diagnosis of cancer leads to decreased mortality rates, current screening methods require significant time and costly equipment. Recently, increased levels of certain micro-ribonucleic acids (miRNAs) in the blood have been linked to the presence of cancer. While blood-based biomarkers have been used for years in cancer detection, studies analyzing trace amounts of miRNAs in blood and serum samples are just the beginning. Recent developments in deoxyribonucleic acid (DNA) nanotechnology and DNA computing have shown that it is possible to ...


Cloud Computing:Strategies For Cloud Computing Adoption, Faith Shimba 2010 Dublin Institute of Technology

Cloud Computing:Strategies For Cloud Computing Adoption, Faith Shimba

Dissertations

The advent of cloud computing in recent years has sparked an interest from different organisations, institutions and users to take advantage of web applications. This is a result of the new economic model for the Information Technology (IT) department that cloud computing promises. The model promises a shift from an organisation required to invest heavily for limited IT resources that are internally managed, to a model where the organisation can buy or rent resources that are managed by a cloud provider, and pay per use. Cloud computing also promises scalability of resources and on-demand availability of resources.

Although, the adoption ...


One For All: Nine East Bay Communities Band Together To Get Energized, Tim Faulhnel, The Bay News 2010 Roger Williams University

One For All: Nine East Bay Communities Band Together To Get Energized, Tim Faulhnel, The Bay News

East Bay Energy Consortium Documents

No abstract provided.


High-Strength Wastewater Treatment By Microalgae, Xin Yuan 2010 University of Massachusetts Amherst

High-Strength Wastewater Treatment By Microalgae, Xin Yuan

Environmental & Water Resources Engineering Masters Projects

Microalgae spontaneously convert CO

2 and supplementary nutrients into biomass in the presence of light via photosynthesis, and at much higher rates than convention oil-producing crops. Algal biomass can then be transformed into methane via anaerobic bacteria-mediated fermentation, or to biodiesel via lipid extraction, as well as other by-products of secondary metabolism. Production of biofuel by microalgae can be made more sustainable through coupling microalgal biomass production with existing power generation and wastewater treatment infrastructure. On the other hand, integration of algal biofuel production into wastewater treatment plant anaerobic digestion infrastructure has the potential to increase biogas production, decrease high ...


Wavelet Based Islanding Detection Of Dc-Ac Inverter Interfaced Dg Systems, Mohamed Moin Hanif, Malabika Basu, Kevin Gaughan 2010 Dublin Institute of Technology

Wavelet Based Islanding Detection Of Dc-Ac Inverter Interfaced Dg Systems, Mohamed Moin Hanif, Malabika Basu, Kevin Gaughan

Conference papers

The increased penetration of distributed generation (DG) often connected to grid through dc-ac interface has made islanding detection an important and challenging issue to power engineers. Several methods based on passive and active detection scheme have been proposed in the literature. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method due to its degrading power quality effect. This paper proposes a wavelet based passive islanding detection scheme with almost zero NDZ for dc-ac inverter interfaced grid connected DGs. The key idea is to utilize the spectral changes in the higher frequency components ...


Evaluation Of A Part-Time Engineering Degree Programme That Aimed To Unify And Diversify, Kevin Kelly, Vincent Kenny 2010 Dublin Institute of Technology

Evaluation Of A Part-Time Engineering Degree Programme That Aimed To Unify And Diversify, Kevin Kelly, Vincent Kenny

Conference papers

The School of Electrical Engineering within DIT attempted to address the challenge of increasing diversity in Engineering Education by developing a part-time Electrical Services Engineering degree programme that began as a certificate in 2001 and as a degree in 2003. This four year evening programme had a number of innovations: • Recognition of Prior Learning (RPL) • Application of a Student Centred paradigm • Innovative Curriculum Development using Constructivist principles and Project Based Learning (in part) This paper will be an evaluation of the four year part time degree programme. There are issues deserving investigation with regard to the programme. The research questions ...


Vision-Based Bicycle Detection And Tracking Using A Deformable Part Model And An Ekf Algorithm, Hyunggi Cho, Paul E. Rybski, Wende Zhang 2010 Carnegie Mellon University

Vision-Based Bicycle Detection And Tracking Using A Deformable Part Model And An Ekf Algorithm, Hyunggi Cho, Paul E. Rybski, Wende Zhang

Robotics Institute

Bicycles that share the road with intelligent vehicles present particular challenges for automated perception systems. Bicycle detection is important because bicycles share the road with vehicles and can move at comparable speeds in urban environments. From a computer vision standpoint, bicycle detection is challenging as bicycle's appearance can change dramatically between viewpoints and a person riding on the bicycle is a non-rigid object. In this paper, we present a vision-based framework to detect and track bicycles that takes into account these issues. A mixture model of multiple viewpoints is defined and trained via a Support Vector Machine (SVM) to ...


A Human-Assisted Approach For A Mobile Robot To Learn 3d Object Models Using Active Vision, Matthijs Zwinderman, Paul E. Rybski, Gert Koostra 2010 Technical University of Eindhoven

A Human-Assisted Approach For A Mobile Robot To Learn 3d Object Models Using Active Vision, Matthijs Zwinderman, Paul E. Rybski, Gert Koostra

Robotics Institute

In this paper we present an algorithm that allows a human to naturally and easily teach a mobile robot how to recognize objects in its environment. The human selects the object by pointing at it using a laser pointer. The robot recognizes the laser reflections with its cameras and uses this data to generate an initial 2D segmentation of the object. The 3D position of SURF feature points are extracted from the designated area using stereo vision. As the robot moves around the object, new views of the object are obtained from which feature points are extracted. These features are ...


Stacked Hierarchical Labeling, Daniel Munoz, J. Andrew Bagnell, Martial Hebert 2010 Carnegie Mellon University

Stacked Hierarchical Labeling, Daniel Munoz, J. Andrew Bagnell, Martial Hebert

Robotics Institute

In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decomposition of the image in order to encode relational and spatial information. In contrast to much existing work on structured prediction for scene understanding, we bypass a global probabilistic model and instead directly train a hierarchical inference procedure inspired by the message passing mechanics of some approximate inference procedures in graphical models. This approach mitigates both the theoretical and empirical difficulties of learning probabilistic models when exact inference is intractable. In ...


3d Reconstruction Of A Moving Point From A Series Of 2d Projections, Hyun Soo Park, Takaaki Shiratori, Iain Matthews, Yaser Sheikh 2010 Carnegie Mellon University

3d Reconstruction Of A Moving Point From A Series Of 2d Projections, Hyun Soo Park, Takaaki Shiratori, Iain Matthews, Yaser Sheikh

Robotics Institute

This paper presents a linear solution for reconstructing the 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial pose and time of capture of the cameras that produced each image. Triangulation-based solutions do not apply, as multiple views of the point may not exist at each instant in time. A geometric analysis of the problem is presented and a criterion, called reconstructibility, is defined to precisely characterize the cases when reconstruction is possible, and how accurate it can be. We apply the linear reconstruction algorithm to reconstruct the time ...


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