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Full-Text Articles in Science and Technology Studies

A Theoretical Model For Total Suction Effects By Tree Roots, Udeshini Pathirage, Buddhima Indraratna, Muditha Pallewattha, Ana Heitor Jan 2019

A Theoretical Model For Total Suction Effects By Tree Roots, Udeshini Pathirage, Buddhima Indraratna, Muditha Pallewattha, Ana Heitor

Faculty of Engineering and Information Sciences - Papers: Part B

Strengthening soft and weak soil by way of root reinforcement is a well-known strategy that is adopted worldwide. In Australia, native gum trees remain evergreen throughout the year and have been utilised to stabilise transportation corridors by way of reinforcement provided by the roots and the suction generated within the root domain as a function of evapotranspiration through the canopy. A mature gum tree can induce a missive total suction pressure exceeding 30MPa through its root water and solute uptake in terms of matric plus osmotic suction. This cumulative effect of matric and osmotic suctions contributes to the overall shear ...


Leveraging Smote In A Two-Layer Model For Prediction Of Protein-Protein Interactions, Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen Jan 2019

Leveraging Smote In A Two-Layer Model For Prediction Of Protein-Protein Interactions, Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

The research of the mechanisms of infectious diseases between host and pathogens remains a hot topic. It takes stock of the interactions data between host and pathogens, including proteins and genomes, to facilitate the discoveries and prediction of underlying mechanisms. However, the incomplete protein-protein interactions data impediment the advances in this exploration and solicit the wet-lab experiments to examine and verify the latent interactions. Although there have been numerous studies trying to leverage the computational models, especially machine learning models, the performances of these models were not good enough to produce high-fidelity candidates of interactions data due to the nature ...


Developing A Theoretical Model And Questionnaire Survey Instrument To Measure The Success Of Electronic Health Records In Residential Aged Care, Ping Yu, Siyu Qian Jan 2018

Developing A Theoretical Model And Questionnaire Survey Instrument To Measure The Success Of Electronic Health Records In Residential Aged Care, Ping Yu, Siyu Qian

Faculty of Engineering and Information Sciences - Papers: Part B

Electronic health records (EHR) are introduced into healthcare organizations worldwide to improve patient safety, healthcare quality and efficiency. A rigorous evaluation of this technology is important to reduce potential negative effects on patient and staff, to provide decision makers with accurate information for system improvement and to ensure return on investment. Therefore, this study develops a theoretical model and questionnaire survey instrument to assess the success of organizational EHR in routine use from the viewpoint of nursing staff in residential aged care homes. The proposed research model incorporates six variables in the reformulated DeLone and McLean information systems success model ...


A System Model For Personalized Medication Management (Mymediman)-The Consumers' Point Of View, Elena Vlahu-Gjorgievska, Khin Than Win, Willy Susilo Jan 2018

A System Model For Personalized Medication Management (Mymediman)-The Consumers' Point Of View, Elena Vlahu-Gjorgievska, Khin Than Win, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

In this paper, we propose a design for a personalized medication management system model MyMediMan that provides medication information for different stakeholders. The focus of the paper is on the system's features and personalized information provided for the consumers as primary users of the proposed solution. The presented design introduces the consumers to different aspects of the medications they take and their overall health condition. The personalized information should increase the consumers' awareness about the positive benefits of taking the medications as well as the consequences that particular medication can have on their health condition. By obtaining this information ...


Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad Jan 2018

Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad

Faculty of Engineering and Information Sciences - Papers: Part B

In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in computational power of building automation systems and the availability of a significant amount of monitored building data. MPC has found successful implementation in building thermal regulation, fully exploiting the potential of building thermal mass. Moreover, MPC has been positively applied to active energy storage systems, as well as to the optimal management of on-site renewable energy sources. MPC also opens up several opportunities ...


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 ...


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 ...


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.


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 ...


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 ...


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 ...


Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray Feb 2016

Bayesian Learning And Predictability In A Stochastic Nonlinear Dynamical Model, John Parslow, Noel Cressie, Edward P. Campbell, Emlyn Jones, Lawrence Murray

Professor Noel Cressie

Bayesian inference methods are applied within a Bayesian hierarchical modelling framework to the problems of joint state and parameter estimation, and of state forecasting. We explore and demonstrate the ideas in the context of a simple nonlinear marine biogeochemical model. A novel approach is proposed to the formulation of the stochastic process model, in which ecophysiological properties of plankton communities are represented by autoregressive stochastic processes. This approach captures the effects of changes in plankton communities over time, and it allows the incorporation of literature metadata on individual species into prior distributions for process model parameters. The approach is applied ...


Building A Microsimulation Model Of Heroin Use Careers In Australia, Alison Ritter, Nagesh Shukla, Marian D. Shanahan, Van Hoang Phuong, Vu Lam Cao, Pascal Perez, Michael P. Farrell Jan 2016

Building A Microsimulation Model Of Heroin Use Careers In Australia, Alison Ritter, Nagesh Shukla, Marian D. Shanahan, Van Hoang Phuong, Vu Lam Cao, Pascal Perez, Michael P. Farrell

Faculty of Engineering and Information Sciences - Papers: Part A

Illicit heroin use is a worldwide problem, with significant health and social costs. Treatment is known to be effective in changing heroin use habits, but it often needs to be provided over a lifetime, with people cycling in and out of treatment. It is therefore important to capture a long-term perspective on heroin use careers. The aim of this project was to build a lifetime microsimulation model of heroin using careers. This paper describes the conceptual logic of the model, the input parameters and the verification and validation results. A microsimulation model was chosen as the most appropriate simulation platform ...


A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz Jan 2016

A Data-Driven Predictive Model For Residential Mobility In Australia - A Generalised Linear Mixed Model For Repeated Measured Binary Data, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, Nagesh Shukla, Albert Munoz

Faculty of Engineering and Information Sciences - Papers: Part A

Household relocation modelling is an integral part of the Government planning process as residential movements influence the demand for community facilities and services. This study will address the problem of modelling residential relocation choice by estimating a logit-link class model. The proposed model estimates the probability of an event which triggers household relocation. The attributes considered in this study are: requirement for bedrooms, employment status, income status, household characteristics, and tenure (i.e. duration living at the current location). Accurate prediction of household relocations for population units should rely on real world observations. In this study, a longitudinal survey data ...


A Local Field Correlated And Monte Carlo Based Shallow Neural Network Model For Non-Linear Time Series Prediction, Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen Jan 2016

A Local Field Correlated And Monte Carlo Based Shallow Neural Network Model For Non-Linear Time Series Prediction, Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network, shallow artificial neural network models have been deployed in prediction areas such as groundwater and rainfall since late 1980s. In this paper, artificial neural network (ANN) model within a newly proposed algorithm has been developed for groundwater status forecasting. Having considered previous algorithms for ANN model in time series forecast, this new Monte Carlo based algorithm demonstrated a good result. The experiments ...


Design-Oriented Stress–Strain Model For Concrete Under Combined Frp-Steel Confinement, G Lin, Tao Yu, Jin Guang Teng Jan 2016

Design-Oriented Stress–Strain Model For Concrete Under Combined Frp-Steel Confinement, G Lin, Tao Yu, Jin Guang Teng

Faculty of Engineering and Information Sciences - Papers: Part A

Extensive research has been conducted on fiber-reinforced polymer (FRP)-confined plain and RC columns, leading to a large number of stress–strain models. Most of these models have been developed for FRP-confined plain concrete and are thus applicable only to concrete in FRP-confined RC columns with a negligible amount of transverse steel reinforcement. The few models that have been developed for concrete under the combined confinement of FRP and transverse steel reinforcement are either inaccurate or too complex for direct use in design. This paper presents an accurate design-oriented stress–strain model for concrete under combined FRP-steel confinement in FRP-confined ...


Analytic Performance Model For State-Based Mac Layer Cooperative Retransmission Protocols, Brett Hagelstein, Mehran Abolhasan, Daniel R. Franklin, Farzad Safaei, Wei Ni Jan 2016

Analytic Performance Model For State-Based Mac Layer Cooperative Retransmission Protocols, Brett Hagelstein, Mehran Abolhasan, Daniel R. Franklin, Farzad Safaei, Wei Ni

Faculty of Engineering and Information Sciences - Papers: Part A

Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This ...


Microstructure And Micro-Texture Evolution During The Dynamic Recrystallisation Of A Ni-30fe-Nb-C Model Alloy, Parvez Mannan, Ahmed A. Saleh, Azdiar A. Gazder, Gilberto Casillas, Elena V. Pereloma Jan 2016

Microstructure And Micro-Texture Evolution During The Dynamic Recrystallisation Of A Ni-30fe-Nb-C Model Alloy, Parvez Mannan, Ahmed A. Saleh, Azdiar A. Gazder, Gilberto Casillas, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part A

The evolution of microstructure and micro-texture during discontinuous dynamic recrystallisation of an austenitic Ni-30Fe-Nb-C model alloy subjected to interrupted plane strain compression at strains (ε) of 0.23, 0.35, 0.68, 0.85 and 1.2 was investigated using electron backscattering diffraction and transmission electron microscopy. Throughout the strain range, the majority of dynamic recrystallisation events comprised nucleation in necklace-like arrangements located at and along grain boundaries via bulging. At ε ≥ 0.68, discrete nucleation events were also observed within grain interiors. Grain growth during dynamic recrystallisation is characteristic of strain induced boundary migration. The initial texture comprised Cube-RD ...


A New Micro Scale Fe Model Of Crystalline Materials In Micro Forming Process, Liang Luo, Haibo Xie, Dongbin Wei, Xiaogang Wang, Cunlong Zhou, Zhengyi Jiang Jan 2016

A New Micro Scale Fe Model Of Crystalline Materials In Micro Forming Process, Liang Luo, Haibo Xie, Dongbin Wei, Xiaogang Wang, Cunlong Zhou, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

Micro forming of metals has drawn global attention due to the increasing requirement of micro metal products. However, the size effects become significant in micro forming processes and affect the application of finite element (FE) simulation of micro forming processes. Dividing samples into small areas according to their microstructures and assigning individual properties to each small area are a possible access to micro forming simulation considering material size effects. In this study, a new model that includes both grains and their boundaries was developed based on the observed microstructures of samples. The divided subareas in the model have exact shapes ...


A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau Jan 2016

A Conceptual Model For The Application Of Business Analytics In The Horizontal Strategic Alliance, John Janosko, Tingru Cui, S K. Lau

Faculty of Engineering and Information Sciences - Papers: Part A

The formation of strategic alliances amongst organisations has grown in recent years as globalisation has opened new markets for firms to pursue. It is of ever-increasing importance that organisations have a thorough understanding of the performance of their alliance to achieve competitive advantage. However, much research on strategic alliance has focused on examining the organisations within the alliance rather than focusing on the alliance itself. Using the new discipline of business analytics, this paper proposes a hierarchical model blending the functional roles of business analytics with data standardisation and context mediation frameworks to allow business analytics to be applied to ...


Modeling And Identification Of A Realistic Spiking Neural Network And Musculoskeletal Model Of The Human Arm, And An Application To The Stretch Reflex, Manish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura Jan 2016

Modeling And Identification Of A Realistic Spiking Neural Network And Musculoskeletal Model Of The Human Arm, And An Application To The Stretch Reflex, Manish Sreenivasa, Ko Ayusawa, Yoshihiko Nakamura

Faculty of Engineering and Information Sciences - Papers: Part B

This study develops a multi-level neuromuscular model consisting of topological pools of spiking motor, sensory and interneurons controlling a bi-muscular model of the human arm. The spiking output of motor neuron pools were used to drive muscle actions and skeletal movement via neuromuscular junctions. Feedback information from muscle spindles were relayed via monosynaptic excitatory and disynaptic inhibitory connections, to simulate spinal afferent pathways. Subject-specific model parameters were identified from human experiments by using inverse dynamics computations and optimization methods. The identified neuromuscular model was used to simulate the biceps stretch reflex and the results were compared to an independent dataset ...


Coupling A Thermal Comfort Model With Building Simulation For User Comfort And Energy Efficiency, Katharina Boudier, Massimo Fiorentini, Sabine Hoffmann, Raghuram Kalyanam, Georgios Kokogiannakis Jan 2016

Coupling A Thermal Comfort Model With Building Simulation For User Comfort And Energy Efficiency, Katharina Boudier, Massimo Fiorentini, Sabine Hoffmann, Raghuram Kalyanam, Georgios Kokogiannakis

Faculty of Engineering and Information Sciences - Papers: Part B

This paper describes a methodology for coupling an advanced model of the thermo-regulatory system of the human body that describes its physiological processes, a comfort model that evaluates thermal sensation and comfort, and the ESP-r building simulation software that computes the transient thermal response of a building model. The objective of this study was to utilise the physiology and comfort models to dynamically modify the heating and cooling temperature set points of a zone controller in ESP-r, in accordance with the computed human thermal sensation and achieve realtime thermal comfort management. The comunication between the software is managed by the ...


A Lifetime Individual Sampling Model (Ism) For Heroin Use And Treatment Evaluation In Australia, Nagesh Shukla, Van Hoang, Marian Shahanan, Alison Ritter, Vu Lam Cao, Pascal Perez Sep 2015

A Lifetime Individual Sampling Model (Ism) For Heroin Use And Treatment Evaluation In Australia, Nagesh Shukla, Van Hoang, Marian Shahanan, Alison Ritter, Vu Lam Cao, Pascal Perez

Nagesh Shukla

Illicit drug use has created an enormous burden at societal, family and personal levels. Every year a significant amount of resources is allocated for treatment and the consequences of illicit drug use in Australia and around the world. Heroin is one of the major forms of illicit drugs that are used illegally. Several independent heroin treatment strategies or interventions exist and state-of-the-art research demonstrates their efficacy and relative cost-effectiveness. However, assessing total potential gains and burden from providing all treatment interventions or varying the mix of heroin treatments has never been attempted. Furthermore, the need to include multiple treatments, multiple ...


A Novel Integrated Model To Measure Supplier Performance Considering Qualitative And Quantitative Criteria Used In The Supplier Selection Process, Alptekin Ulutas, Senevi Kiridena, Peter Gibson, Nagesh Shukla Apr 2015

A Novel Integrated Model To Measure Supplier Performance Considering Qualitative And Quantitative Criteria Used In The Supplier Selection Process, Alptekin Ulutas, Senevi Kiridena, Peter Gibson, Nagesh Shukla

Nagesh Shukla

Supplier evaluation has become a significant topic over the past few decades, as companies have become more outsourced oriented. However, previous research on this topic has not paid adequate attention to the limitations associated with the availability of accurate and reliable data relating to the performance of potential suppliers. In an attempt to address this issue, this paper proposes a novel supplier evaluation model that can handle imprecise quantitative and qualitative data. Additionally, Decision Maker's judgement regarding both qualitative and quantitative criteria are incorporated into this model so that a more comprehensive and realistic assessment of supplier performance can ...


Grain Size Effect Of Thickness/Average Grain Size On Mechanical Behaviour, Fracture Mechanism And Constitutive Model For Phosphor Bronze Foil, Zhi Fang, Zhengyi Jiang, Xiaogang Wang, Cunlong Zhou, Dongbin Wei, Xianghua Liu Jan 2015

Grain Size Effect Of Thickness/Average Grain Size On Mechanical Behaviour, Fracture Mechanism And Constitutive Model For Phosphor Bronze Foil, Zhi Fang, Zhengyi Jiang, Xiaogang Wang, Cunlong Zhou, Dongbin Wei, Xianghua Liu

Faculty of Engineering and Information Sciences - Papers: Part A

Size effects play a significant role in microforming process, and any dimensional change can have a great impact on materials' mechanical properties. In this paper, the size effects on deformation behaviour and fracture of phosphor foil were investigated in the form of grain size effect: the ratio of materials' thickness (T) to average grain size (D) by micro tensile tests. The ratio was designed to be closed to but larger than, less than and equal to 1, respectively. The results show that the amount of plastic deformation decreases with the decrease of the ratio of T/D, which indicates that ...


High Temperature Dislocation Structure And Nbc Precipitation In Three Ni-Fe-Nb-C Model Alloys, Andrii Kostryzhev, Parvez Mannan, Olexandra Marenych Jan 2015

High Temperature Dislocation Structure And Nbc Precipitation In Three Ni-Fe-Nb-C Model Alloys, Andrii Kostryzhev, Parvez Mannan, Olexandra Marenych

Faculty of Engineering and Information Sciences - Papers: Part A

In this original work, the dislocation structure and NbC precipitation were investigated in three Ni-based alloys (70Ni-Fe-0.331Nb-0.040C, 70Ni-Fe-0.851Nb-0.114C and 70Ni-Fe-1.420Nb-0.157C, wt%) thermomechanically processed in the temperature range of 1250-1075 °C. The dislocation structure inhomogeneity (dislocation networks and cell walls), which we observed in the middle and high Nb+C alloys, resulted from the dislocation pile-ups in the vicinity of >200 nm NbC particles. The dislocation density around >200 nm particles exceeded the average values by 5-7 times, and that in the cell walls might exceed the average values by 10 times. Twins and stacking ...


Analysis Of A Chemostat Model With Variable Yield Coefficient And Substrate Inhibition: Contois Growth Kinetics, Rubayyi Turki Alqahtani, Mark I. Nelson, Annette L. Worthy Jan 2015

Analysis Of A Chemostat Model With Variable Yield Coefficient And Substrate Inhibition: Contois Growth Kinetics, Rubayyi Turki Alqahtani, Mark I. Nelson, Annette L. Worthy

Faculty of Engineering and Information Sciences - Papers: Part A

2015, Copyright Taylor & Francis Group, LLC. We analyze the steady-state operation of a generalized reactor model that encompasses a continuous flow bioreactor and an idealized continuous flow membrane reactor as limiting cases. The biochemical reaction kinetics is governed by a Contois growth model subject to noncompetitive substrate inhibition with a variable substrate yield coefficient. The steady-state performance of the reactor is predicted and stability of the steady-state solutions as a function of dimensionless residence time reported. Our results identified two cases of practical interest. The first feature corresponds to the case where solutions to both no-washout and washout conditions are ...