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- Automated warehousing; Travel time analysis; Multi-objective optimization; Simulation; Performance analysis (1)
- Biogeography-based optimization; evolutionary algorithm; Kalman filter; noisy optimization; re-sampling (1)
- Biological treatment (1)
- Channel state information (1)
- Computationally expensive optimization; Biogeography-based optimization; Automotive system optimization; Design and analysis of computer experiments (1)
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- Control (1)
- Data (1)
- Evolutionary algorithm (EA) (1)
- Gait (1)
- Human motion recognition; machine learning; microsoft kinect (1)
- Interactive Markov model (1)
- Landfill leachate treatment (1)
- MIMO relay (1)
- MMSE receivers (1)
- Markov model (1)
- OSTBC (1)
- Optimization search strategy (1)
- Outage probability (1)
- Perturbation (1)
- Physical–chemical treatment (1)
- Population-proportion-based selection (1)
- Resident concentration; Flux concentration; Diffusion-limited transport; Back-diffusion; Mobile–immobile model; Upscaled advection dispersion equation (1)
- Robotic modeling; Robotic testing; Prosthesis testing; Motion control (1)
- Selection and fixed relaying (1)
- Sustainable treatment (1)
Articles 1 - 11 of 11
Full-Text Articles in Engineering
An Upscaled Approach For Transport In Media With Extended Tailing Due To Back-Diffusion Using Analytical And Numerical Solutions Of The Advection Dispersion Equation, Jack C. Parker, Ungtae Kim
An Upscaled Approach For Transport In Media With Extended Tailing Due To Back-Diffusion Using Analytical And Numerical Solutions Of The Advection Dispersion Equation, Jack C. Parker, Ungtae Kim
Civil and Environmental Engineering Faculty Publications
The mono-continuum advection-dispersion equation (mADE) is commonly regarded as unsuitable for application to media that exhibit rapid breakthrough and extended tailing associated with diffusion between high and low permeability regions. This paper demonstrates that the mADE can be successfully used to model such conditions if certain issues are addressed. First, since hydrodynamic dispersion, unlike molecular diffusion, cannot occur upstream of the contaminant source, models must be formulated to prevent “back-dispersion.” Second, large variations in aquifer permeability will result in differences between volume-weighted average concentration (resident concentration) and flow-weighted average concentration (flux concentration). Water samples taken from wells may be regarded …
Biogeography-Based Optimization Of A Variable Camshaft Timing System, George Thomas, Daniel J. Simon, John Michelini
Biogeography-Based Optimization Of A Variable Camshaft Timing System, George Thomas, Daniel J. Simon, John Michelini
Electrical and Computer Engineering Faculty Publications
Automotive simulations often prohibit the use of traditional optimization techniques because these simulations are complex and computationally expensive. These two qualities motivate the use of evolutionary algorithms and meta-modeling techniques respectively. In this work, we apply biogeography-based optimization (BBO) to optimize radial basis function (RBF)-based lookup table controls of a variable camshaft timing system for fuel economy. Also, we reduce computational search effort by finding an effective parameterization of the problem, optimizing the parameters of the BBO algorithm for the problem, and estimating the cost of a portion of the candidate solutions in BBO with design and analysis of computer …
On The Performance Of Sr And Fr Protocols For Ostbc Based Af-Mimo Relay System With Channel And Noise Correlations, Batu K. Chalise
On The Performance Of Sr And Fr Protocols For Ostbc Based Af-Mimo Relay System With Channel And Noise Correlations, Batu K. Chalise
Electrical and Computer Engineering Faculty Publications
This paper proposes selection relaying (SR) protocol for a cooperative multiple-input multiple-output (MIMO) relay system that consists of a direct link between a source and a destination. The system has only receive-side channel state information (CSI), spatially correlated MIMO channels, and the receiver nodes observe spatially correlated noise. The transmit nodes employ orthogonal space-time block codes (OSTBC), whereas the receiver nodes employ optimum minimum mean-square-error (MMSE) detection. The SR protocol, which transmits via the relay only when the direct link between the source and destination is in outage, is compared with the fixed relaying (FR) protocol which always uses the …
Ensemble Multi-Objective Biogeography-Based Optimization With Application To Automated Warehouse Scheduling, Haiping Ma, Shufei Su, Daniel J. Simon, Minrui Fei
Ensemble Multi-Objective Biogeography-Based Optimization With Application To Automated Warehouse Scheduling, Haiping Ma, Shufei Su, Daniel J. Simon, Minrui Fei
Electrical and Computer Engineering Faculty Publications
This paper proposes an ensemble multi-objective biogeography-based optimization (EMBBO) algorithm, which is inspired by ensemble learning, to solve the automated warehouse scheduling problem. First, a real-world automated warehouse scheduling problem is formulated as a constrained multi-objective optimization problem. Then EMBBO is formulated as a combination of several multi-objective biogeography-based optimization (MBBO) algorithms, including vector evaluated biogeography-based optimization (VEBBO), non-dominated sorting biogeography-based optimization (NSBBO), and niched Pareto biogeography-based optimization (NPBBO). Performance is tested on a set of 10 unconstrained multi-objective benchmark functions and 10 constrained multi-objective benchmark functions from the 2009 Congress on Evolutionary Computation (CEC), and compared with single constituent …
A Survey Of Applications And Human Motion Recognition With Microsoft Kinect, Roanna Lun, Wenbing Zhao
A Survey Of Applications And Human Motion Recognition With Microsoft Kinect, Roanna Lun, Wenbing Zhao
Electrical and Computer Engineering Faculty Publications
Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers or game consoles naturally through gestures and spoken commands without any other peripheral equipment. As such, it has commanded intense interests in research and development on the Kinect technology. In this paper, we present, a comprehensive survey on Kinect applications, and the latest research and development on motion recognition using data captured by the Kinect sensor. On the applications front, we review the applications of the Kinect technology in a variety of areas, including healthcare, education and performing arts, robotics, sign language recognition, retail services, workplace safety …
Sustainable Treatment Of Landfill Leachate, Mohamad Anuar Kamaruddin, Mohd. Suffian Yusoff, Hamidi Abdul Aziz, Yung-Tse Hung
Sustainable Treatment Of Landfill Leachate, Mohamad Anuar Kamaruddin, Mohd. Suffian Yusoff, Hamidi Abdul Aziz, Yung-Tse Hung
Civil and Environmental Engineering Faculty Publications
Landfill leachate is a complex liquid that contains excessive concentrations of biodegradable and non-biodegradable products including organic matter, phenols, ammonia nitrogen, phosphate, heavy metals, and sulfide. If not properly treated and safely disposed, landfill leachate could be an impending source to surface and ground water contamination as it may percolate throughout soils and subsoils, causing adverse impacts to receiving waters. Lately, various types of treatment methods have been proposed to alleviate the risks of untreated leachate. However, some of the available techniques remain complicated, expensive and generally require definite adaptation during process. In this article, a review of literature reported …
An Elaborate Data Set On Human Gait And The Effect Of Mechanical Perturbations, Jason K. Moore, Sandra K. Hnat, Antonie J. Van Den Bogert
An Elaborate Data Set On Human Gait And The Effect Of Mechanical Perturbations, Jason K. Moore, Sandra K. Hnat, Antonie J. Van Den Bogert
Mechanical Engineering Faculty Publications
Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 s of normal walking and 480 s of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that …
Biogeography-Based Optimization In Noisy Environments, Haiping Ma, Minrui Fei, Daniel J. Simon, Zixiang Chen
Biogeography-Based Optimization In Noisy Environments, Haiping Ma, Minrui Fei, Daniel J. Simon, Zixiang Chen
Electrical and Computer Engineering Faculty Publications
Biogeography-based optimization (BBO) is a new evolutionary optimization algorithm that is based on the science of biogeography. In this paper, BBO is applied to the optimization of problems in which the fitness function is corrupted by random noise. Noise interferes with the BBO immigration rate and emigration rate, and adversely affects optimization performance. We analyse the effect of noise on BBO using a Markov model. We also incorporate re-sampling in BBO, which samples the fitness of each candidate solution several times and calculates the average to alleviate the effects of noise. BBO performance on noisy benchmark functions is compared with …
Dynamic Modeling, Parameter Estimation And Control Of A Leg Prosthesis Test Robot, Hanz Richter, Daniel J. Simon, William A. Smith, Sergey Samorezov
Dynamic Modeling, Parameter Estimation And Control Of A Leg Prosthesis Test Robot, Hanz Richter, Daniel J. Simon, William A. Smith, Sergey Samorezov
Electrical and Computer Engineering Faculty Publications
Robotic testing can facilitate the development of new concepts, designs and control systems for prosthetic limbs. Human subject test clearances, safety and the lack of repeatability associated with human trials can be reduced or eliminated with automated testing, and test modalities are possible which are dangerous or inconvenient to attempt with patients. This paper describes the development, modeling, parameter estimation and control of a robot capable of reproducing two degree-of-freedom hip motion in the sagittal plane. Hip vertical displacement and thigh angle motion profiles are applied to a transfemoral prosthesis attached to the robot. A treadmill is used as walking …
High Surface Area And Z′ In A Thermally Stable 8-Fold Polycatenated Hydrogen-Bonded Framework, Cassandra A. Zentner, Holden W.H. Lai, Joshua T. Greenfield, Ren A. Wiscons, Matthias Zeller, Charles F. Campana, Orhan Talu, Stephen A. Fitzgerald, Jesse L.C. Rowsell
High Surface Area And Z′ In A Thermally Stable 8-Fold Polycatenated Hydrogen-Bonded Framework, Cassandra A. Zentner, Holden W.H. Lai, Joshua T. Greenfield, Ren A. Wiscons, Matthias Zeller, Charles F. Campana, Orhan Talu, Stephen A. Fitzgerald, Jesse L.C. Rowsell
Chemical & Biomedical Engineering Faculty Publications
1,3,5-Tris(4-carboxyphenyl)benzene assembles into an intricate 8-fold polycatenated assembly of (6,3) hexagonal nets formed through hydrogen bonds and π-stacking. One polymorph features 56 independent molecules in the asymmetric unit, the largest Z′ reported to date. The framework is permanently porous, with a BET surface area of 1095 m2 g−1 and readily adsorbs N2, H2 and CO2.
Interactive Markov Models Of Evolutionary Algorithms, Haiping Ma, Daniel J. Simon, Minrui Fei, Hongwei Mo
Interactive Markov Models Of Evolutionary Algorithms, Haiping Ma, Daniel J. Simon, Minrui Fei, Hongwei Mo
Electrical and Computer Engineering Faculty Publications
This paper introduces a Markov model for evolutionary algorithms (EAs) that is based on interactions among individuals in the population. This interactive Markov model has the potential to provide tractable models for optimization problems of realistic size. We propose two simple discrete optimization search strategies with population-proportion-based selection and a modified mutation operator. The probability of selection is linearly proportional to the number of individuals at each point of the search space. The mutation operator randomly modifies an entire individual rather than a single decision variable. We exactly model these optimization search strategies with interactive Markov models. We present simulation …