ORCID Profile
0000-0002-3655-7981
Current Organisation
University of South Australia
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Publisher: Elsevier BV
Date: 05-2020
Publisher: Japanese Society of Tribologists
Date: 2010
DOI: 10.2474/TROL.5.40
Publisher: Elsevier BV
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-11-2017
Publisher: Elsevier BV
Date: 02-2022
Publisher: Wiley
Date: 08-2021
Abstract: Cereal grains and nuts are represented as the economic backbone of many developed and developing countries. Kernels of cereal grains and nuts are prone to mold infection under high relative humidity and suitable temperature conditions in the field as well as storage conditions. Health risks caused by molds and their molecular metabolite mycotoxins are, therefore, important topics to investigate. Strict regulations have been developed by international trade regulatory bodies for the detection of mold growth and mycotoxin contamination across the food chain starting from the harvest to storage and consumption. Molds and aflatoxins are not evenly distributed over the bulk of grains, thus appropriate s ling for detection and quantification is crucial. Existing reference methods for mold and mycotoxin detection are destructive in nature as well as involve skilled labor and hazardous chemicals. Also, these methods cannot be used for inline sorting of the infected kernels. Thus, analytical methods have been extensively researched to develop the one that is more practical to be used in commercial detection and sorting processes. Among various analytical techniques, optical imaging and spectroscopic techniques are attracting growers’ attention for their potential of nondestructive and rapid inline identification and quantification of molds and mycotoxins in various food products. This review summarizes the recent application of rapid and nondestructive optical imaging and spectroscopic techniques, including digital color imaging, X‐ray imaging, near‐infrared spectroscopy, fluorescent, multispectral, and hyperspectral imaging. Advance chemometric techniques to identify very low‐level mold growth and mycotoxin contamination are also discussed. Benefits, limitations, and challenges of deploying these techniques in practice are also presented in this paper.
Publisher: IEEE
Date: 06-2011
Publisher: Zenodo
Date: 2019
Publisher: IEEE
Date: 12-2016
Publisher: Trans Tech Publications, Ltd.
Date: 10-2005
DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.295-296.699
Abstract: A super resolution measurement technique is proposed to improve the accuracy of the automated stereovision measurement systems. Image super resolution is useful to reconstruct a visually enhanced high resolution image from a set of low resolution images. Due to the ill conditioning problem of the super resolution model, a-priori information is augmented into the model. We examined different a-priori and concluded that the Solution norm is the most suitable apriori to be used with the optimization technique described. Experiment also showed that the super resolution technique could perform measurement on small images, which are not possible without the technique. An increase in measurement accuracy from 99.73% to 99.91% is obtained.
Publisher: Springer Science and Business Media LLC
Date: 31-08-2016
Publisher: Elsevier BV
Date: 12-2005
Publisher: IEEE
Date: 1997
Publisher: Informa UK Limited
Date: 11-2011
Publisher: Springer Science and Business Media LLC
Date: 20-09-2018
Publisher: Informa UK Limited
Date: 09-2011
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 12-2016
Publisher: Elsevier BV
Date: 05-2017
Publisher: Science Publications
Date: 02-2014
Publisher: MDPI AG
Date: 13-01-2017
DOI: 10.3390/S17010142
Publisher: Science Publications
Date: 04-2017
Publisher: Springer Science and Business Media LLC
Date: 04-10-2008
Publisher: Inderscience Publishers
Date: 2007
Publisher: Elsevier BV
Date: 06-2022
DOI: 10.1016/J.JBI.2022.104092
Abstract: Named Entity Recognition (NER) or the extraction of concepts from clinical text is the task of identifying entities in text and slotting them into categories such as problems, treatments, tests, clinical departments, occurrences (such as admission and discharge) and others. NER forms a critical component of processing and leveraging unstructured data from Electronic Health Records (EHR). While identifying the spans and categories of concepts is itself a challenging task, these entities could also have attributes such as negation that pivot their meanings implied to the consumers of the named entities. There has been little research dedicated to identifying the entities and their qualifying attributes together. This research hopes to contribute to the area of detecting entities and their corresponding attributes by modelling the NER task as a supervised, multi-label tagging problem with each of the attributes assigned tagging sequence labels. In this paper, we propose 3 architectures to achieve this multi-label entity tagging: BiLSTM n-CRF, BiLSTM-CRF-Smax-TF and BiLSTM n-CRF-TF. We evaluate these methods on the 2010 i2b2/VA and the i2b2 2012 shared task datasets. Our different models obtain best NER scores of 0.903 and 0.808 on the i2b2 2010/VA and i2b2 2012 respectively. The highest span based micro-averaged F1 polarity scores obtained were 0.832 and 0.836 on the i2b2 2010/VA and i2b2 2012 datasets respectively, and the highest macro-averaged F1 polarity scores obtained were 0.924 and 0.888 respectively. The modality studies conducted on i2b2 2012 dataset revealed high scores of 0.818 and 0.501 for span based micro-averaged F1 and macro-averaged F1 respectively.
Publisher: MDPI AG
Date: 29-11-2019
DOI: 10.3390/APP9235195
Abstract: Electronic waste (e-waste) has become one of the fastest-growing waste, leading a globe issue. Reverse supply chain (RSC) is considered a potential way for e-waste management. Over the last two decades, RSC has received significant attention from industries, governments, experts, and researchers. A large number of studies have been published in the field of e-waste RSC. Most of the existing review papers concentrated on the general RSC models for all types of returned products. However, the review papers focusing on specific products, such as e-waste, are quite limited. To fill this gap published papers in the area of RSC for a specific product, e-waste, from 1999 to 2019 have been selected for review and analysis in this study. E-waste RSC studies have been ided into four main groups, namely, factors of implementation, performance evaluation and decision making, foresting product returns, and network design. Finally, some potential directions for e-waste RSC models have been suggested for future research.
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 2015
Publisher: OSCM Forum
Date: 13-06-2018
DOI: 10.31387/OSCM0320211
Publisher: Inderscience Publishers
Date: 2010
Publisher: Elsevier BV
Date: 2022
Publisher: Informa UK Limited
Date: 28-02-2019
Publisher: Institution of Engineering and Technology (IET)
Date: 2017
Publisher: Wiley
Date: 13-03-2018
Abstract: Nanophase-separated membranes hold promise for fast molecule or ion transfer. However, development and practical application are significantly hindered by both the difficulty of chemical modification and nanophase instability. This can be addressed by organic-inorganic hybridization of functional fillers with a precise distribution in specific nanophase. Here, a molecular-level hybridization for nanophase-separated Nafion using 2-5 nm quantum dots (QDs) as a new smart filler is demonstrated. Two kinds of QDs are prepared and used: hydrophilic polymer-like QDs (PQDs) and hydrophobic graphene oxide QDs (GQDs). Because of selective interactions, QDs offer advantages of matched structural size and automatic recognition with the nanophase. A distinctive synthesis of subordinate-assembly, in which QDs are driven by the self-assembly of Nafion affinity chains, is reported. This results in a precise distribution of QDs in the ionic, or backbone, nanophases of Nafion. The resulting PQDs in the ionic nanophase significantly increase membrane proton conduction and device output-power without loss of mechanical stability. This is difficult to realize with conventional fillers. The GQDs in the backbone nanophase reduce the crystallinity and significantly augment membrane water uptake and swelling capacities.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Publisher: Elsevier BV
Date: 2010
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 02-2021
Publisher: SPIE
Date: 09-08-2013
DOI: 10.1117/12.2025131
Publisher: IEEE
Date: 06-2011
Publisher: Elsevier BV
Date: 10-2023
Publisher: Elsevier BV
Date: 07-2021
Publisher: EJournal Publishing
Date: 2013
Publisher: IEEE
Date: 12-2007
Publisher: Institution of Engineering and Technology (IET)
Date: 2019
Publisher: Elsevier BV
Date: 04-2022
Publisher: Springer Science and Business Media LLC
Date: 30-08-2016
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 09-2016
DOI: 10.3934/NACO.2016013
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 2011
Publisher: Trans Tech Publications, Ltd.
Date: 12-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.605-607.104
Abstract: Product Service System (PSS) is introduced as a new concept which means the products and services can be integrated to a package and delivered to customer. From the definition and classification, a PSS can be seen as a system including a set of servicing modes of product. Therefore, designing appropriate PSS to satisfy customer requirements is an important issue in current research. This article reviews current design methodologies and categorized them into three patterns. Each pattern has its advantages and limitations. Hence a new design approach is proposed in this paper. This approach includes integral develop process and focuses on the conceptual design of PSS, which requires innovative thinking to identify possible servicing modes according to customer requirements. Then the evaluation method is provided to help designers to select the principle conceptual solution.
Publisher: IEEE
Date: 07-2011
Publisher: Elsevier BV
Date: 2011
Publisher: Informa UK Limited
Date: 29-03-2012
Publisher: Elsevier BV
Date: 08-2018
Publisher: EJournal Publishing
Date: 2013
Publisher: Elsevier BV
Date: 02-2004
Publisher: Elsevier BV
Date: 2020
Publisher: Informa UK Limited
Date: 2015
Publisher: IOP Publishing
Date: 07-01-2014
DOI: 10.1088/0957-4484/25/4/045501
Abstract: Piezoelectric composites comprising an active phase of ferroelectric ceramic and a polymer matrix have recently found numerous sensory applications. However, it remains a major challenge to further improve their electromechanical response for advanced applications such as precision control and monitoring systems. We here investigated the incorporation of graphene platelets (GnPs) and multi-walled carbon nanotubes (MWNTs), each with various weight fractions, into PZT (lead zirconate titanate)/epoxy composites to produce three-phase nanocomposites. The nanocomposite films show markedly improved piezoelectric coefficients and electromechanical responses (50%) besides an enhancement of ~200% in stiffness. The carbon nanomaterials strengthened the impact of electric field on the PZT particles by appropriately raising the electrical conductivity of the epoxy. GnPs have been proved to be far more promising in improving the poling behavior and dynamic response than MWNTs. The superior dynamic sensitivity of GnP-reinforced composite may be caused by the GnPs' high load transfer efficiency arising from their two-dimensional geometry and good compatibility with the matrix. The reduced acoustic impedance mismatch resulting from the improved thermal conductance may also contribute to the higher sensitivity of GnP-reinforced composite. This research pointed out the potential of employing GnPs to develop highly sensitive piezoelectric composites for sensing applications.
Publisher: SAGE Publications
Date: 04-12-2015
Abstract: Piezoelectric composites are hybrid materials primarily consisting of polymer matrices and micro-sized particles of ferroelectric ceramic. While incorporating high-fraction ceramic particles into composites is indispensable to meet the ever increasing requirement of sensitivity, it is a great challenge to achieve such a high concentration due to processing difficulties. In this study, we developed piezoelectric composites of 0-3 geometry containing 95 wt% (∼73 vol%) lead zirconate titanate particles by modifying the surface of lead zirconate titanate particles with isophorone diisocyanate and polyoxyalkyleneamine (J2000) and compounding them with epoxy resin. The functional groups of J2000 molecules covalently grafted onto the particle surface can react with the matrix, thus creating a robust linkage between the matrix and the particles. This improved the particle dispersion and the interface, enabling the development of a superior composite film with high lead zirconate titanate fractions. Modified piezocomposites can save up to 75% poling time at 75% lower voltage in comparison with the unmodified s le as well as previous studies. The remarkable improvement is indebted to the two-stage interface modification process and the layer-by-layer fabrication method.
Publisher: Informa UK Limited
Date: 10-2003
Publisher: IEEE
Date: 12-2016
Publisher: Elsevier BV
Date: 08-2013
Publisher: MDPI AG
Date: 23-02-2021
DOI: 10.3390/APP11041946
Abstract: Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.
Publisher: Springer Science and Business Media LLC
Date: 13-02-2018
Publisher: MDPI AG
Date: 03-02-2017
DOI: 10.3390/S17020286
Publisher: Springer Science and Business Media LLC
Date: 08-2002
DOI: 10.1007/BF02984013
Publisher: Elsevier BV
Date: 02-2021
Publisher: IEEE
Date: 06-2011
Publisher: IGI Global
Date: 2014
DOI: 10.4018/978-1-4666-6030-4.CH004
Abstract: In this chapter, the use of two images, the near infrared image and the color image, from a bi-camera machine vision system is investigated to improve the detection of the citrus fruits in the image. The application has covered the design of the bi-camera vision system to align two CCD cameras, the online acquisition of the citrus fruit tree image, and the fusion of two aligned images. In the system, two cameras have been registered with alignment to ensure the fusion of two images. A fusion method has been developed based on the Multiscale Decomposition Analysis (MSD) with a Discrete Wavelet Transform (DWT) application for the two dimensional signal. In the fusion process, two image quality issues have been addressed. One is the detail noise from the background, which is bounded with the envelope spectra and with similar spectra to orange citrus fruit and spatial variance property. The second is the enhancement of the fundamental envelope spectra using two source images. With level of MSD estimated, the noise is reduced by zeroing the high pass coefficients in DWT while the fundamental envelope spectra from the color image are enhanced by an arithmetic pixel level fusion rule. To evaluate the significant improvement of the image quality, some major classification methods are applied to compare the classified results from the fused image with the results from the types of color image. The misclassification error is measured by the empirical type errors using the manual segmentation reference image.
Publisher: Science Publications
Date: 12-2013
Publisher: The Optical Society
Date: 13-03-2017
Publisher: Springer Science and Business Media LLC
Date: 02-07-2022
DOI: 10.1007/S40846-022-00718-3
Abstract: The rate of mucociliary transit (MCT) is an indicator of the hydration and health of the airways for cystic fibrosis (CF). To determine the effectiveness of cystic fibrosis respiratory therapies, we have developed a novel method to non-invasively quantify the local rate and patterns of MCT behaviour in vivo by using synchrotron phase contrast X-ray imaging (PCXI) to visualise the MCT motion of micron-sized spherical particles deposited onto the airway surfaces of live mice. In this study the baseline MCT behaviour was assessed in the nasal airways of CFTR -null and normal mice which were then treated with hypertonic saline (HS) or mannitol. To assess MCT, the particle motion was tracked throughout the synchrotron PCXI sequences using fully-automated custom image analysis software. There was no significant difference in the MCT rate between normal and CFTR -null mice, but the analysis of MCT particle tracking showed that HS may have a longer duration of action in CFTR -null mice than in the normal mice. This study demonstrated that changes in MCT rate in CF and normal mouse nasal airways can be measured using PCXI and customised tracking software and used for assessing the effects of airway rehydrating pharmaceutical treatments.
Publisher: IEEE
Date: 08-2015
Publisher: InTech
Date: 14-02-2011
DOI: 10.5772/13354
Publisher: Elsevier BV
Date: 10-2010
Publisher: IEEE
Date: 2002
Publisher: Lembaga Penelitian dan Pengabdian kepada Masyarakat ITS
Date: 13-04-2018
Publisher: Elsevier BV
Date: 11-2013
Publisher: IEEE
Date: 2010
Publisher: Trans Tech Publications, Ltd.
Date: 02-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.472-475.3305
Abstract: This paper deals with production-inventory policy in the context of multi-echelon closed-loop supply chains. The system comprises of a number of distributors, single manufacturer, single supplier and single dismantler. The objective is to develop and formulate the mathematical modeling for deterministic approach.
Publisher: OSCM Forum
Date: 17-06-2015
DOI: 10.31387/OSCM0200146
Publisher: Springer Science and Business Media LLC
Date: 22-09-2012
Publisher: Elsevier BV
Date: 2019
Publisher: IGI Global
Date: 10-2012
DOI: 10.4018/IJCVIP.2012100102
Abstract: In this paper, an image fusion is presented to improve the citrus identification by filtering the incoming data from two cameras. The citrus image data has been photographed by using a portable bi-camera cold mirror acquisition system. The prototype of the customized fixture has been manufactured to position and align a classical cold mirror with two CCD cameras in relative kinematic position. The algorithmic registration on the pairwise images has been bypassed by both the spatial alignment of two cameras with recourse of software calibration and the triggering synchronization in temporal during the photographing. The pairwise frames have been fused by using the Daubechies wavelets decomposition filters. The pixel level fusion index rule is proposed to combine the low pass coefficients of the visible image and the low pass coefficients of the near-infrared image convoluted by the complementary of entropy filter from the visible low pass coefficients. In the study, the fused artifact color image and the non-fused color image have been processed and compared by some classification methods such as low dimensional projection, self-organizing map and the support vector machine.
Publisher: Springer Science and Business Media LLC
Date: 14-10-2019
No related grants have been discovered for Sang-Heon Lee.