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Full-Text Articles in Engineering

Protein-Specific Empirical Model Of Protein Adsorption On Surfaces, Dan Nicolau May 2017

Protein-Specific Empirical Model Of Protein Adsorption On Surfaces, Dan Nicolau

Single-use Technologies II: Bridging Polymer Science to Biotechnology Applications

Predicting protein adsorption from solution to a surface is an important problem in biomedicine and related fields. Despite constant attention in the literature, it is not currently possible to predict quantitatively the amount of adsorbed protein given environment, protein and surface parameters. We present a purely empirical approach to predict protein adsorption using a linearly piecewise model with breakpoint, based on progress in the understanding and quantification of physico-chemical properties on protein molecular surfaces. This model is capable of accounting for over 90% of the variance in the data, despite the fact that the adsorption data spans over three orders …


Segmental Kinematic Analysis Of Planovalgus Feet During Walking In Children With Cerebral Palsy, Karen M. Kruger, Katherine A. Konop, Joseph Krzak, Adam Graf, Haluk Altiok, Peter A. Smith, Gerald F. Harris May 2017

Segmental Kinematic Analysis Of Planovalgus Feet During Walking In Children With Cerebral Palsy, Karen M. Kruger, Katherine A. Konop, Joseph Krzak, Adam Graf, Haluk Altiok, Peter A. Smith, Gerald F. Harris

Biomedical Engineering Faculty Research and Publications

Pes planovalgus (flatfoot) is a common deformity among children with cerebral palsy. The Milwaukee Foot Model (MFM), a multi-segmental kinematic foot model, which uses radiography to align the underlying bony anatomy with reflective surface markers, was used to evaluate 20 pediatric participants (30 feet) with planovalgus secondary to cerebral palsy prior to surgery. Three-dimensional kinematics of the tibia, hindfoot, forefoot, and hallux segments are reported and compared to an age-matched control set of typically-developing children. Most results were consistent with known characteristics of the deformity and showed decreased plantar flexion of the forefoot relative to hindfoot, increased forefoot abduction, and …


Embrace The Unknown: Stop Saying “It’S Too Hard” And Start Embracing Uncertainty In Your Mine Plans, C. Roos Feb 2017

Embrace The Unknown: Stop Saying “It’S Too Hard” And Start Embracing Uncertainty In Your Mine Plans, C. Roos

Mining Engineering

Nearly every input to a mine plan is based on an estimate. The estimates may be from sample data, historical information, models, or personal opinion, but in all cases, these values are simply expected values (means). In real life, we do not get to iterate the exact conditions at our mining operation many times to ensure that that average value is attained. The expected value also tells us nothing about the spread of values that that input might take on. The result is a significant amount of unquantified uncertainty in our mine plans. Unfortunately, it is often too expensive or …


Optimal Control Based Stiffness Identification Of An Ankle-Foot Orthosis Using A Predictive Walking Model, Manish Sreenivasa, Matthew Millard, Martin Felis, Katja Mombaur, Sebastian I. Wolf Jan 2017

Optimal Control Based Stiffness Identification Of An Ankle-Foot Orthosis Using A Predictive Walking Model, Manish Sreenivasa, Matthew Millard, Martin Felis, Katja Mombaur, Sebastian I. Wolf

Faculty of Engineering and Information Sciences - Papers: Part B

Predicting the movements, ground reaction forces and neuromuscular activity during gait can be a valuable asset to the clinical rehabilitation community, both to understand pathology, as well as to plan effective intervention. In this work we use an optimal control method to generate predictive simulations of pathological gait in the sagittal plane. We construct a patient-specific model corresponding to a 7-year old child with gait abnormalities and identify the optimal spring characteristics of an ankle-foot orthosis that minimizes muscle effort. Our simulations include the computation of foot-ground reaction forces, as well as the neuromuscular dynamics using computationally efficient muscle torque …


Hybrid Model Predictive Control Of A Residential Hvac System With On-Site Thermal Energy Generation And Storage, Massimo Fiorentini, Josh Wall, Zhenjun Ma, Julio H. Braslavsky, Paul Cooper Jan 2017

Hybrid Model Predictive Control Of A Residential Hvac System With On-Site Thermal Energy Generation And Storage, Massimo Fiorentini, Josh Wall, Zhenjun Ma, Julio H. Braslavsky, Paul Cooper

Faculty of Engineering and Information Sciences - Papers: Part A

This paper describes the development, implementation and experimental investigation of a Hybrid Model Predictive Control (HMPC) strategy to control solar-assisted heating, ventilation and air-conditioning (HVAC) systems with on-site thermal energy generation and storage. A comprehensive approach to the thermal energy management of a residential building is presented to optimise the scheduling of the available thermal energy resources to meet a comfort objective. The system has a hybrid nature with both continuous variables and discrete, logic-driven operating modes. The proposed control strategy is organized in two hierarchical levels. At the high-level, an HMPC controller with a 24-h prediction horizon and a …


Railnet: A Simulation Model For Operational Planning Of Rail Freight, Guillaume Michal, Nam N. Huynh, Nagesh Shukla, Albert Munoz, Johan Barthelemy Jan 2017

Railnet: A Simulation Model For Operational Planning Of Rail Freight, Guillaume Michal, Nam N. Huynh, Nagesh Shukla, Albert Munoz, Johan Barthelemy

SMART Infrastructure Facility - Papers

In many rail networks, infrastructure constraints force the shared usage of lines between passenger and freight movements. Scheduling additional freight movements around existing passenger services and peak traffic based curfews presents significant challenges to commodity industries eager to increase export volumes. This paper addresses the problem of inserting additional freight movements in a constrained railway network. To this end, a railway operations planning model was developed to simulate and insert feasible rail movements in a non-periodic timetable. The simulation modelling platform developed in this paper is called RailNet, which simulates the existing railway network constraints and is capable of adding …


The Effect Of Imputing Missing Clinical Attribute Values On Training Lung Cancer Survival Prediction Model Performance, Mohamed S. Barakat, Matthew Field, Aditya K. Ghose, David Stirling, Lois C. Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites Jan 2017

The Effect Of Imputing Missing Clinical Attribute Values On Training Lung Cancer Survival Prediction Model Performance, Mohamed S. Barakat, Matthew Field, Aditya K. Ghose, David Stirling, Lois C. Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites

Faculty of Engineering and Information Sciences - Papers: Part B

According to the estimations of the World Health Organization and the International Agency for Research in Cancer, lung cancer is the most common cause of death from cancer worldwide. The last few years have witnessed a rise in the attention given to the use of clinical decision support systems in medicine generally and in cancer in particular. These can predict patients' likelihood of survival based on analysis of and learning from previously treated patients. The datasets that are mined for developing clinical decision support functionality are often incomplete, which adversely impacts the quality of the models developed and the decision …


Patients' Acceptance Of Smartphone Health Technology For Chronic Disease Management: A Theoretical Model And Empirical Test, Kaili Dou, Ping Yu, Ning Deng, Fang Liu, Yingping Guan, Zhenye Li, Yumeng Ji, Ningkai Du, Xudong Lu, Huilong Duan Jan 2017

Patients' Acceptance Of Smartphone Health Technology For Chronic Disease Management: A Theoretical Model And Empirical Test, Kaili Dou, Ping Yu, Ning Deng, Fang Liu, Yingping Guan, Zhenye Li, Yumeng Ji, Ningkai Du, Xudong Lu, Huilong Duan

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


Development Of A Dynamic Model For A Hybrid Photovoltaic Thermal Collector - Solar Air Heater With Fins, Wenke Fan, Georgios Kokogiannakis, Zhenjun Ma, Paul Cooper Jan 2017

Development Of A Dynamic Model For A Hybrid Photovoltaic Thermal Collector - Solar Air Heater With Fins, Wenke Fan, Georgios Kokogiannakis, Zhenjun Ma, Paul Cooper

Faculty of Engineering and Information Sciences - Papers: Part A

A dynamic model for a hybrid Photovoltaic Thermal Collector-Solar Air Heater (PVT-SAH) with longitudinal fins was developed to enable assessment of the potential of the system to provide high temperature outlet air (60-90 °C) under dynamic boundary conditions. The model description includes the method for discretising the system into a number of control volumes, the energy balance equations for each control volume and the implementation of the numerical solution. Model validation has been successfully undertaken by using empirical verification of model predictions with an experimental facility and by comparing the model outputs with the reference data from the literature. The …


Model-Based Optimization Of Ground Source Heat Pump Systems, Zhenjun Ma, Lei Xia Jan 2017

Model-Based Optimization Of Ground Source Heat Pump Systems, Zhenjun Ma, Lei Xia

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents the development of an optimization strategy for ground source heat pump (GSHP) systems equipped with variable speed pumps in the ground loop system. The optimization problem is formulated using a model-based approach, in which the component models are used to estimate the system performance under various trial settings and an exhaustive search method is used to identify the optimal settings under the search ranges defined. The variable optimized is the outlet water temperature from the ground heat exchangers, which can be used as a set-point to control the operation of the variable speed pumps in the ground …


Motion Optimization And Parameter Identification For A Human And Lower Back Exoskeleton Model, Paul Manns, Manish Sreenivasa, Matthew Millard, Katja Mombaur Jan 2017

Motion Optimization And Parameter Identification For A Human And Lower Back Exoskeleton Model, Paul Manns, Manish Sreenivasa, Matthew Millard, Katja Mombaur

Faculty of Engineering and Information Sciences - Papers: Part B

Designing an exoskeleton to reduce the risk of low-back injury during lifting is challenging. Computational models of the human-robot system coupled with predictive movement simulations can help to simplify this design process. Here, we present a study that models the interaction between a human model actuated by muscles and a lower back exoskeleton. We provide a computational framework for identifying the spring parameters of the exoskeleton using an optimal control approach and forward-dynamics simulations. This is applied to generate dynamically consistent bending and lifting movements in the sagittal plane. Our computations are able to predict motions and forces of the …


Statistical Shape Model Generation Using Diffeomorphic Surface Registration, Jiaqi Wu, Guangxu Li, Huimin Lu, Hyoung Kim, Philip O. Ogunbona Jan 2017

Statistical Shape Model Generation Using Diffeomorphic Surface Registration, Jiaqi Wu, Guangxu Li, Huimin Lu, Hyoung Kim, Philip O. Ogunbona

Faculty of Engineering and Information Sciences - Papers: Part B

Statistical shape modelling is an efficient and robust method for medical image segmentation in computer-aided diagnosis. The key step in building a statistical shape model is to find corresponding landmarks in each instance of a training set. In this paper, a novel landmark correspondence estimation method that uses edge collapse surface simplification and the sphere registration is proposed. All the landmarks are selected and transformed by spherical conformal mapping from the instances of the training set and the associated correspondence are automatically found on the spheres. We applied our method on 21 cases of 3-D right lung shapes. The results …


Aligning Business Strategy With It Strategy From Business Model To Enterprise In Saudi Arabia Public Sector, Abdulaziz Alghazi, Mengxiang Li, Jun Shen, Samuel Fosso Wamba Jan 2017

Aligning Business Strategy With It Strategy From Business Model To Enterprise In Saudi Arabia Public Sector, Abdulaziz Alghazi, Mengxiang Li, Jun Shen, Samuel Fosso Wamba

Faculty of Engineering and Information Sciences - Papers: Part B

Over the last decades researchers seem to have big concerns on the complexity of business-IT alignment with the government organizational strategy goals. The Saudi Arabian (SA) government is one of the world’s governments that has launched the national government strategy for 2030 to all public sectors to enhance performance. This research proposal is aimed at investigating the adoption performance of alignment strategy incorporated by the SA government in order to benefit of IT infrastructure and achieve high performance, quality of service (QoS) and return of investment (ROI). This study will use mixed method design combines both qualitative and quantitative methods …


Fuel Consumption Models For Tractor Test Reports, Michael F. Kocher, Bryan J. Smith, Roger M. Hoy, Jeffrey C. Woldstad, Santosh Pitla Jan 2017

Fuel Consumption Models For Tractor Test Reports, Michael F. Kocher, Bryan J. Smith, Roger M. Hoy, Jeffrey C. Woldstad, Santosh Pitla

Biological Systems Engineering: Papers and Publications

Five models for estimating fuel consumption for agricultural tractors with partial drawbar loads were compared. Data were collected from eight John Deere tractors, JD 7230R (e23), 7250R (e23), 7270R (e23), 7290R (e23), 8320R (16 speed), 7290R (IVT), 8345RT (IVT), 8370R (IVT), on the drawbar test track at the Nebraska Tractor Test Lab. The tractors were tested with seven load levels per speed at three different travel speeds as close as possible to 7.5, 10, and 13 km h-1. The IVT tractors were operated in auto mode, and the geared tractors were shifted up three gears and throttled back to the …


A Dynamic Behavioural Traffic Assignment Model With Strategic Agents, Johan Barthelemy, Timoteo Carletti Jan 2017

A Dynamic Behavioural Traffic Assignment Model With Strategic Agents, Johan Barthelemy, Timoteo Carletti

SMART Infrastructure Facility - Papers

Foresee traffic conditions and demand is a major issue nowadays that is very often approached using simulation tools. The aim of this work is to propose an innovative strategy to tackle such problem, relying on the presentation and analysis of a behavioural dynamic traffic assignment. The proposal relies on the assumption that travellers take routing policies rather than paths, leading us to introduce the possibility for each simulated agent to apply, in real time, a strategy allowing him to possibly re-route his path depending on the perceived local traffic conditions, jam and/or time already spent in his journey. The re-routing …