Hook-grip improves power clean kinetics and kinematics
- Oranchuk, Dustin, Lindsay, Riki, Helms, Eric, Harbour, Eric, Storey, Adam, Drinkwater, Eric
- Authors: Oranchuk, Dustin , Lindsay, Riki , Helms, Eric , Harbour, Eric , Storey, Adam , Drinkwater, Eric
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 36th Conference of the International Society of Biomechanics in Sports, Auckland, New Zealand, September in eProceedings of the 36th Conference of the International Society of Biomechanics in Sports 10-14, 2018 pg 490-493
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- Description: The purpose of this study was to compare one repetition maximum (1RM), as well as biomechanical outputs across a range of loads (75-100%) in the power clean (PC) utilizing the hook grip (HG) or closed-grip (CG). Eleven well-trained males (PC 1RM=1.34xBW) with at least six months of HG experience volunteered. Following a familiarization session, PC 1RM testing with the HG and CG were completed in random order, 5-7 days apart on a force platform with linear position transducers and 2D motion capture. The HG condition resulted in greater PC 1RM (6.6%, ES=0.43), peak barbell velocity (2.9-5.2%, ES=0.41-0.70) and relative peak barbell power (5.7-15.1%, ES=0.32- 0.71) at all submaximal loads compared to CG. No substantial differences were found in horizontal bar-path (ES=-0.27-0.32). The results of this study suggest that athletes who implement weightlifting movements in their physical preparation should adopt the HG.
- Authors: Oranchuk, Dustin , Lindsay, Riki , Helms, Eric , Harbour, Eric , Storey, Adam , Drinkwater, Eric
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 36th Conference of the International Society of Biomechanics in Sports, Auckland, New Zealand, September in eProceedings of the 36th Conference of the International Society of Biomechanics in Sports 10-14, 2018 pg 490-493
- Full Text:
- Reviewed:
- Description: The purpose of this study was to compare one repetition maximum (1RM), as well as biomechanical outputs across a range of loads (75-100%) in the power clean (PC) utilizing the hook grip (HG) or closed-grip (CG). Eleven well-trained males (PC 1RM=1.34xBW) with at least six months of HG experience volunteered. Following a familiarization session, PC 1RM testing with the HG and CG were completed in random order, 5-7 days apart on a force platform with linear position transducers and 2D motion capture. The HG condition resulted in greater PC 1RM (6.6%, ES=0.43), peak barbell velocity (2.9-5.2%, ES=0.41-0.70) and relative peak barbell power (5.7-15.1%, ES=0.32- 0.71) at all submaximal loads compared to CG. No substantial differences were found in horizontal bar-path (ES=-0.27-0.32). The results of this study suggest that athletes who implement weightlifting movements in their physical preparation should adopt the HG.
Improving deep forest by confidence screening
- Pang, Ming, Ting, Kaiming, Zhao, Peng, Zhou, Zhi-Hua
- Authors: Pang, Ming , Ting, Kaiming , Zhao, Peng , Zhou, Zhi-Hua
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 2018 Ieee International Conference on Data Mining; Singapore, Singapore; 17th-20th November 2018 p. 1194-1199
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- Description: Most studies about deep learning are based on neural network models, where many layers of parameterized nonlinear differentiable modules are trained by backpropagation. Recently, it has been shown that deep learning can also be realized by non-differentiable modules without backpropagation training called deep forest. The developed representation learning process is based on a cascade of cascades of decision tree forests, where the high memory requirement and the high time cost inhibit the training of large models. In this paper, we propose a simple yet effective approach to improve the efficiency of deep forest. The key idea is to pass the instances with high confidence directly to the final stage rather than passing through all the levels. We also provide a theoretical analysis suggesting a means to vary the model complexity from low to high as the level increases in the cascade, which further reduces the memory requirement and time cost. Our experiments show that the proposed approach achieves highly competitive predictive performance with significantly reduced time cost and memory requirement by up to one order of magnitude.
- Authors: Pang, Ming , Ting, Kaiming , Zhao, Peng , Zhou, Zhi-Hua
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 2018 Ieee International Conference on Data Mining; Singapore, Singapore; 17th-20th November 2018 p. 1194-1199
- Full Text:
- Reviewed:
- Description: Most studies about deep learning are based on neural network models, where many layers of parameterized nonlinear differentiable modules are trained by backpropagation. Recently, it has been shown that deep learning can also be realized by non-differentiable modules without backpropagation training called deep forest. The developed representation learning process is based on a cascade of cascades of decision tree forests, where the high memory requirement and the high time cost inhibit the training of large models. In this paper, we propose a simple yet effective approach to improve the efficiency of deep forest. The key idea is to pass the instances with high confidence directly to the final stage rather than passing through all the levels. We also provide a theoretical analysis suggesting a means to vary the model complexity from low to high as the level increases in the cascade, which further reduces the memory requirement and time cost. Our experiments show that the proposed approach achieves highly competitive predictive performance with significantly reduced time cost and memory requirement by up to one order of magnitude.
Information technology and organizational learning interplay : A survey
- Malik, Saleem, Chetty, Madhu, Chadhar, Mehmood
- Authors: Malik, Saleem , Chetty, Madhu , Chadhar, Mehmood
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 29th Australasian Conference on Information Systems (ACIS 2018); Sydney, Australia; 3rd December 2018 p. 1-11
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- Description: The objective of this paper is to provide a systematic review of the evolutionary trends in the research domain of information technology and organizational learning. Having surveyed various journals and key conferences between 2000 and 2018 on the topic, we observe that information technology (IT) has expanded from its general form to various contemporary information systems, e.g. knowledge organization systems, communication and collaborative systems and decision support systems. However, organization learning (OL) now essentially occurs through knowledge management activities, e.g. knowledge acquisition, storing, sharing and application of knowledge. The survey reported here not only validates the interplay of IT and OL but also reveals some important intervening factors between IT and OL, e.g. absorptive capacity, organization culture, user trust, acceptance and satisfaction that work as deterministic elements in the reciprocal relationship of IT and OL. We propose future research to explore interaction between big data analytical systems and organizational learning.
- Authors: Malik, Saleem , Chetty, Madhu , Chadhar, Mehmood
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 29th Australasian Conference on Information Systems (ACIS 2018); Sydney, Australia; 3rd December 2018 p. 1-11
- Full Text:
- Reviewed:
- Description: The objective of this paper is to provide a systematic review of the evolutionary trends in the research domain of information technology and organizational learning. Having surveyed various journals and key conferences between 2000 and 2018 on the topic, we observe that information technology (IT) has expanded from its general form to various contemporary information systems, e.g. knowledge organization systems, communication and collaborative systems and decision support systems. However, organization learning (OL) now essentially occurs through knowledge management activities, e.g. knowledge acquisition, storing, sharing and application of knowledge. The survey reported here not only validates the interplay of IT and OL but also reveals some important intervening factors between IT and OL, e.g. absorptive capacity, organization culture, user trust, acceptance and satisfaction that work as deterministic elements in the reciprocal relationship of IT and OL. We propose future research to explore interaction between big data analytical systems and organizational learning.
Management to insulate ecosystem services from the effects of catchment development
- Authors: Gell, Peter
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 2nd International Conference on Energy, Environmental and Information System, ICENIS 2017; Semarang, Indonesia; 15th-16th August 2017; published in E3S Web of Conferences Vol. 31, p. 1-6
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- Description: Natural ecosystems provide amenity to human populations in the form of ecosystem services. These services are grouped into four broad categories: Provisioning-food and water production; regulating-control of climate and disease; supporting-crop pollination; and cultural-spiritual and recreational benefits. Aquatic systems provide considerable service through the provision of potable water, fisheries and aquaculture production, nutrient mitigation and the psychological benefits that accrue from the aesthetic amenity provided from lakes, rivers and other wetlands. Further, littoral and riparian ecosystems, and aquifers, protect human communities from sea level encroachment, and tidal and river flooding. Catchment and water development provides critical resources for human consumption. Where these provisioning services are prioritized over others, the level and quality of production may be impacted. Further, the benefits from these provisioning services comes with the opportunity cost of diminishing regulating, supporting and cultural services. This imbalance flags concerns for humanity as it exceeds recognised safe operating spaces. These concepts are explored by reference to long term records of change in some of the world's largest river catchments and lessons are drawn that may enable other communities to consider the balance of ecosystems services in natural resource management.
- Authors: Gell, Peter
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 2nd International Conference on Energy, Environmental and Information System, ICENIS 2017; Semarang, Indonesia; 15th-16th August 2017; published in E3S Web of Conferences Vol. 31, p. 1-6
- Full Text:
- Reviewed:
- Description: Natural ecosystems provide amenity to human populations in the form of ecosystem services. These services are grouped into four broad categories: Provisioning-food and water production; regulating-control of climate and disease; supporting-crop pollination; and cultural-spiritual and recreational benefits. Aquatic systems provide considerable service through the provision of potable water, fisheries and aquaculture production, nutrient mitigation and the psychological benefits that accrue from the aesthetic amenity provided from lakes, rivers and other wetlands. Further, littoral and riparian ecosystems, and aquifers, protect human communities from sea level encroachment, and tidal and river flooding. Catchment and water development provides critical resources for human consumption. Where these provisioning services are prioritized over others, the level and quality of production may be impacted. Further, the benefits from these provisioning services comes with the opportunity cost of diminishing regulating, supporting and cultural services. This imbalance flags concerns for humanity as it exceeds recognised safe operating spaces. These concepts are explored by reference to long term records of change in some of the world's largest river catchments and lessons are drawn that may enable other communities to consider the balance of ecosystems services in natural resource management.
Organisational learning with SaaS CRM – A case study of higher education
- Oseni, Taiwo, Chadhar, Mehmood, Ivkovic, Sasha, Firmin, Sally
- Authors: Oseni, Taiwo , Chadhar, Mehmood , Ivkovic, Sasha , Firmin, Sally
- Date: 2018
- Type: Text , Conference proceedings
- Relation: Australasian Conference on Information Systems ; Sydney ; 2018 published in Australasian Conference on Information Systems 2018.
- Relation: http://creativecommons.org/licenses/by-nc-nd/4.0
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- Description: Customer Relationship Management (CRM) generally has a reputation as a technology that does not live up to its over-inflated expectations. Yet, implementations in higher education remain on the rise. Higher Education institutions (HEIs) are embracing cloud-based CRM systems to upsurge performance, encourage better management practices, and enhance their relationship with staff and students. CRM success however relies heavily on an adaptive organisational learning (OL) process upon which proactive decisions can be made. This paper emphasises that committed learning in post-implementation use is paramount to attaining further understanding of the capabilities, features and functionality of the CRM. Investigating how SaaS CRM usage reflect an organisation’s learning in a Higher Education context, the paper presents theoretical and practical contributions in a framework for effective SaaS CRM utilisation, and recommends a continuous cycle of exploration-exploitation-exploration. Yet the reality is that organisations explore, exploit, and then stop exploring.
- Authors: Oseni, Taiwo , Chadhar, Mehmood , Ivkovic, Sasha , Firmin, Sally
- Date: 2018
- Type: Text , Conference proceedings
- Relation: Australasian Conference on Information Systems ; Sydney ; 2018 published in Australasian Conference on Information Systems 2018.
- Relation: http://creativecommons.org/licenses/by-nc-nd/4.0
- Full Text:
- Reviewed:
- Description: Customer Relationship Management (CRM) generally has a reputation as a technology that does not live up to its over-inflated expectations. Yet, implementations in higher education remain on the rise. Higher Education institutions (HEIs) are embracing cloud-based CRM systems to upsurge performance, encourage better management practices, and enhance their relationship with staff and students. CRM success however relies heavily on an adaptive organisational learning (OL) process upon which proactive decisions can be made. This paper emphasises that committed learning in post-implementation use is paramount to attaining further understanding of the capabilities, features and functionality of the CRM. Investigating how SaaS CRM usage reflect an organisation’s learning in a Higher Education context, the paper presents theoretical and practical contributions in a framework for effective SaaS CRM utilisation, and recommends a continuous cycle of exploration-exploitation-exploration. Yet the reality is that organisations explore, exploit, and then stop exploring.
Passive detection of splicing and copy-move attacks in image forgery
- Islam, Mohammad, Kamruzzaman, Joarder, Karmakar, Gour, Murshed, Manzur, Kahandawa, Gayan
- Authors: Islam, Mohammad , Kamruzzaman, Joarder , Karmakar, Gour , Murshed, Manzur , Kahandawa, Gayan
- Date: 2018
- Type: Text , Conference proceedings , Conference paper
- Relation: 25th International Conference on Neural Information Processing, ICONIP 2018; Siem Reap, Cambodia; 13th-16th December 2018; published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11304 LNCS, p. 555-567
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- Description: Internet of Things (IoT) image sensors for surveillance and monitoring, digital cameras, smart phones and social media generate huge volume of digital images every day. Image splicing and copy-move attacks are the most common types of image forgery that can be done very easily using modern photo editing software. Recently, digital forensics has drawn much attention to detect such tampering on images. In this paper, we introduce a novel feature extraction technique, namely Sum of Relevant Inter-Cell Values (SRIV) using which we propose a passive (blind) image forgery detection method based on Discrete Cosine Transformation (DCT) and Local Binary Pattern (LBP). First, the input image is divided into non-overlapping blocks and 2D block DCT is applied to capture the changes of a tampered image in the frequency domain. Then LBP operator is applied to enhance the local changes among the neighbouring DCT coefficients, magnifying the changes in high frequency components resulting from splicing and copy-move attacks. The resulting LBP image is again divided into non-overlapping blocks. Finally, SRIV is applied on the LBP image blocks to extract features which are then fed into a Support Vector Machine (SVM) classifier to identify forged images from authentic ones. Extensive experiment on four well-known benchmark datasets of tampered images reveal the superiority of our method over recent state-of-the-art methods.
- Authors: Islam, Mohammad , Kamruzzaman, Joarder , Karmakar, Gour , Murshed, Manzur , Kahandawa, Gayan
- Date: 2018
- Type: Text , Conference proceedings , Conference paper
- Relation: 25th International Conference on Neural Information Processing, ICONIP 2018; Siem Reap, Cambodia; 13th-16th December 2018; published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11304 LNCS, p. 555-567
- Full Text:
- Reviewed:
- Description: Internet of Things (IoT) image sensors for surveillance and monitoring, digital cameras, smart phones and social media generate huge volume of digital images every day. Image splicing and copy-move attacks are the most common types of image forgery that can be done very easily using modern photo editing software. Recently, digital forensics has drawn much attention to detect such tampering on images. In this paper, we introduce a novel feature extraction technique, namely Sum of Relevant Inter-Cell Values (SRIV) using which we propose a passive (blind) image forgery detection method based on Discrete Cosine Transformation (DCT) and Local Binary Pattern (LBP). First, the input image is divided into non-overlapping blocks and 2D block DCT is applied to capture the changes of a tampered image in the frequency domain. Then LBP operator is applied to enhance the local changes among the neighbouring DCT coefficients, magnifying the changes in high frequency components resulting from splicing and copy-move attacks. The resulting LBP image is again divided into non-overlapping blocks. Finally, SRIV is applied on the LBP image blocks to extract features which are then fed into a Support Vector Machine (SVM) classifier to identify forged images from authentic ones. Extensive experiment on four well-known benchmark datasets of tampered images reveal the superiority of our method over recent state-of-the-art methods.
Shedding light on our practices: Four assumption hunters on a quest
- Garbutt, Dawn, Brandenburg, Robyn, Thomas, Lynn, Ovens, Alan
- Authors: Garbutt, Dawn , Brandenburg, Robyn , Thomas, Lynn , Ovens, Alan
- Date: 2018
- Type: Text , Conference proceedings
- Relation: Pushing boundaries and crossing borders; Self-Study of Teacher Education Practices, Herstmonceux, UK: 2018 p. 409-415
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- Description: We are an international collaborative of self-study researchers who have begun work together to identify and challenge assumptions that underpinned our practice as teacher educators. Assumptions are the underlying biases that define how pedagogy is enacted. Seeking out and challenging assumptions helps to discover the unconscious biases that define and mediate a practitioner’s actions in the classroom. Assumptions by themselves are neither good nor bad things, but rather are the tacit beliefs that guide a teacher’s decision making. As Brookfield (1995) states, “informed actions…are based on assumptions that have been carefully and critically investigated” (p.80). By using this as the starting point for self-study, the objective is then not to eliminate assumptions from our teaching practice, but to better understand and analyse those assumptions through a process of rigorous self-inquiry. Such inquiry empowers us to assess the impact of our assumptions on our professional practice.
- Authors: Garbutt, Dawn , Brandenburg, Robyn , Thomas, Lynn , Ovens, Alan
- Date: 2018
- Type: Text , Conference proceedings
- Relation: Pushing boundaries and crossing borders; Self-Study of Teacher Education Practices, Herstmonceux, UK: 2018 p. 409-415
- Full Text:
- Reviewed:
- Description: We are an international collaborative of self-study researchers who have begun work together to identify and challenge assumptions that underpinned our practice as teacher educators. Assumptions are the underlying biases that define how pedagogy is enacted. Seeking out and challenging assumptions helps to discover the unconscious biases that define and mediate a practitioner’s actions in the classroom. Assumptions by themselves are neither good nor bad things, but rather are the tacit beliefs that guide a teacher’s decision making. As Brookfield (1995) states, “informed actions…are based on assumptions that have been carefully and critically investigated” (p.80). By using this as the starting point for self-study, the objective is then not to eliminate assumptions from our teaching practice, but to better understand and analyse those assumptions through a process of rigorous self-inquiry. Such inquiry empowers us to assess the impact of our assumptions on our professional practice.
Texture based vein biometrics for human identification : A comparative study
- Bashar, Khayrul, Murshed, Manzur
- Authors: Bashar, Khayrul , Murshed, Manzur
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018; Tokyo, Japan; 23rd-27th July 2018 Vol. 2, p. 571-576
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- Description: Hand vein biometric is an important modality for human authentication and liveness detection in many applications. Reliable feature extraction is vital to any biometric system. Over the past years, two major categories of vein features, namely vein structures and vein image textures, were proposed for hand dorsal vein based biometric identification. Of them, texture features seem important as it can combine skin micro-textures along with vein properties. In this study, we have performed a comparative study to identify potential texture features and feature-classifier combination that produce efficient vein biometric systems. Seven texture features (HOG, GABOR, GLCM, SSF, DWT, WPT, and LBP) and three multiclass classifiers (LDA, ESVM, and KNN) were explored towards the supervised identification of human from vein images. An experiment with 400 infrared (IR) hand images from 40 adults indicates the superior performance of the histogram of oriented gradients (HOG) and simple local statistical feature (SSF) with LDA and ESVM classifiers in terms of average accuracy (> 90%), average Fscore (> 58%) and average specificity (>93%). The decision-level fusion of the LDA and ESVM classifier with single texture features showed improved performances (by 2.2 to 13.2% of average Fscore) over individual classifier for human identification with IR hand vein images.
- Description: Proceedings - International Computer Software and Applications Conference
- Authors: Bashar, Khayrul , Murshed, Manzur
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018; Tokyo, Japan; 23rd-27th July 2018 Vol. 2, p. 571-576
- Full Text:
- Reviewed:
- Description: Hand vein biometric is an important modality for human authentication and liveness detection in many applications. Reliable feature extraction is vital to any biometric system. Over the past years, two major categories of vein features, namely vein structures and vein image textures, were proposed for hand dorsal vein based biometric identification. Of them, texture features seem important as it can combine skin micro-textures along with vein properties. In this study, we have performed a comparative study to identify potential texture features and feature-classifier combination that produce efficient vein biometric systems. Seven texture features (HOG, GABOR, GLCM, SSF, DWT, WPT, and LBP) and three multiclass classifiers (LDA, ESVM, and KNN) were explored towards the supervised identification of human from vein images. An experiment with 400 infrared (IR) hand images from 40 adults indicates the superior performance of the histogram of oriented gradients (HOG) and simple local statistical feature (SSF) with LDA and ESVM classifiers in terms of average accuracy (> 90%), average Fscore (> 58%) and average specificity (>93%). The decision-level fusion of the LDA and ESVM classifier with single texture features showed improved performances (by 2.2 to 13.2% of average Fscore) over individual classifier for human identification with IR hand vein images.
- Description: Proceedings - International Computer Software and Applications Conference
A novel quality metric using spatiotemporal correlational data of human eye maneuver
- Podder, Pallab, Paul, Manoranjan, Murshed, Manzur
- Authors: Podder, Pallab , Paul, Manoranjan , Murshed, Manzur
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing : Techniques and Applications, DICTA 2017; Sydney, Australia; 29th November-1st December 2017 Vol. 2017-December, p. 1-8
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- Description: The popularly used subjective estimator- mean opinion score (MOS) is often biased by the testing environment, viewers mode, domain expertise, and many other factors that may actively influence on actual assessment. We therefore, devise a no- reference subjective quality assessment metric by exploiting the nature of human eye browsing on videos. The participants' eye-tracker recorded gaze-data indicate more concentrated eye- traversing approach for relatively better quality. We calculate the Length, Angle, Pupil-size, and Gaze-duration features from the recorded gaze trajectory. The content and resolution invariant operation is carried out prior to synthesizing them using an adaptive weighted function to develop a new quality metric using eye traversal (QMET). Tested results reveal that the quality evaluation carried out by QMET demonstrates a strong correlation with the most widely used peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the MOS.
- Description: DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications
- Authors: Podder, Pallab , Paul, Manoranjan , Murshed, Manzur
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 International Conference on Digital Image Computing : Techniques and Applications, DICTA 2017; Sydney, Australia; 29th November-1st December 2017 Vol. 2017-December, p. 1-8
- Full Text:
- Reviewed:
- Description: The popularly used subjective estimator- mean opinion score (MOS) is often biased by the testing environment, viewers mode, domain expertise, and many other factors that may actively influence on actual assessment. We therefore, devise a no- reference subjective quality assessment metric by exploiting the nature of human eye browsing on videos. The participants' eye-tracker recorded gaze-data indicate more concentrated eye- traversing approach for relatively better quality. We calculate the Length, Angle, Pupil-size, and Gaze-duration features from the recorded gaze trajectory. The content and resolution invariant operation is carried out prior to synthesizing them using an adaptive weighted function to develop a new quality metric using eye traversal (QMET). Tested results reveal that the quality evaluation carried out by QMET demonstrates a strong correlation with the most widely used peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the MOS.
- Description: DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications
Framework for sustainability performance assessment for manufacturing processes- A Review
- Singh, Karmjit, Sultan, Ibrahim
- Authors: Singh, Karmjit , Sultan, Ibrahim
- Date: 2017
- Type: Text , Conference proceedings
- Relation: IOP Conference Series: Earth and Environmental Science, Volume 73; International Conference on Sustainable Energy Engineering 12–14 June 2017; Perth, Australia Vol. 73
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- Description: Manufacturing industries are facing tough competition due to increasing raw material cost and depleting natural resources. There is great pressure on the industry to produce environmental friendly products using environmental friendly processes. To address these issues modern manufacturing industries are focusing on sustainable manufacturing. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic and social challenges. This paper proposed some framework and tools that accelerate the transition towards a sustainable system. The developed framework will be beneficial for sustainability assessment comparing different plans alongside material properties, ultimately helping the manufacturing industries to reduce the carbon emissions and material waste, besides improving energy efficiency. It is expected that this would be highly beneficial for determination of environmental impact of a process at early design stages. Therefore, it would greatly help the manufacturing industries for selection of process plan based on sustainable indices. Overall objective of this paper would have good impact on reducing air emissions and protecting environment. We expect this work to contribute to the development of a standard reference methodology to help further sustainability in the manufacturing sector.
- Authors: Singh, Karmjit , Sultan, Ibrahim
- Date: 2017
- Type: Text , Conference proceedings
- Relation: IOP Conference Series: Earth and Environmental Science, Volume 73; International Conference on Sustainable Energy Engineering 12–14 June 2017; Perth, Australia Vol. 73
- Full Text:
- Reviewed:
- Description: Manufacturing industries are facing tough competition due to increasing raw material cost and depleting natural resources. There is great pressure on the industry to produce environmental friendly products using environmental friendly processes. To address these issues modern manufacturing industries are focusing on sustainable manufacturing. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic and social challenges. This paper proposed some framework and tools that accelerate the transition towards a sustainable system. The developed framework will be beneficial for sustainability assessment comparing different plans alongside material properties, ultimately helping the manufacturing industries to reduce the carbon emissions and material waste, besides improving energy efficiency. It is expected that this would be highly beneficial for determination of environmental impact of a process at early design stages. Therefore, it would greatly help the manufacturing industries for selection of process plan based on sustainable indices. Overall objective of this paper would have good impact on reducing air emissions and protecting environment. We expect this work to contribute to the development of a standard reference methodology to help further sustainability in the manufacturing sector.
Investigation of microgrid instability caused by time delay
- Aghanoori, Navid, Masoum, Mohammad, Islam, Syed, Nethery, Steven
- Authors: Aghanoori, Navid , Masoum, Mohammad , Islam, Syed , Nethery, Steven
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Bursa, Turkey; 29th-2nd December 2017 Vol. 2018, p. 105-110
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- Description: This paper investigates the impact of time delay in the control of a grid-connected microgrid with renewable energy resources. The considered microgrid has a critical load that needs to be powered and protected in the event of grid voltage disturbance while the microgrid maintains connection to the grid. Three case studies are performed considering three different time delays to indicate the advantages of fast communication system in the performance of renewable microgrids. Detailed simulation results illustrate that the proposed communication system using IEC 61850 substation automation standard provides better voltage and current quality to the critical local load with larger phase and gain margins while keeping the microgid connected to main grid.
- Authors: Aghanoori, Navid , Masoum, Mohammad , Islam, Syed , Nethery, Steven
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Bursa, Turkey; 29th-2nd December 2017 Vol. 2018, p. 105-110
- Full Text:
- Reviewed:
- Description: This paper investigates the impact of time delay in the control of a grid-connected microgrid with renewable energy resources. The considered microgrid has a critical load that needs to be powered and protected in the event of grid voltage disturbance while the microgrid maintains connection to the grid. Three case studies are performed considering three different time delays to indicate the advantages of fast communication system in the performance of renewable microgrids. Detailed simulation results illustrate that the proposed communication system using IEC 61850 substation automation standard provides better voltage and current quality to the critical local load with larger phase and gain margins while keeping the microgid connected to main grid.
Master control unit based power exchange strategy for interconnected microgrids
- Batool, Munira, Islam, Syed, Shahnia, Farhad
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 Australasian Universities Power Engineering Conference, AUPEC 2017; Melbourne, Australia; 19th-22nd November 2017 Vol. 2017, p. 1-6
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- Description: Large remote area networks normally have self-suffi-cient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of power exchange strategy for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 Australasian Universities Power Engineering Conference, AUPEC 2017; Melbourne, Australia; 19th-22nd November 2017 Vol. 2017, p. 1-6
- Full Text:
- Reviewed:
- Description: Large remote area networks normally have self-suffi-cient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of power exchange strategy for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.
OEE improvement of thermoforming machines through application of TPM at Tibaldi Australasia
- Chundhoo, Vickram, Chattopadhyay, Gopinath, Gunawan, Indra, Ibrahim, Yousef
- Authors: Chundhoo, Vickram , Chattopadhyay, Gopinath , Gunawan, Indra , Ibrahim, Yousef
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017; Singapore, Singapore; 10th-13th December 2017 p. 929-933
- Full Text:
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- Description: Overall Equipment Effectiveness (OEE) evaluates quantitatively how effectively a manufacturing operation is utilised. Total Productive Maintenance (TPM) was considered by Tibaldi, a leading food manufacturer in Australia for achieving OEE. This research project has identified performance gaps, developed plan and implemented it in Thermoforming area of the business. The developed methodology helped Tibaldi in improving productivity and quality through TPM involving machines, equipment, processes, and employees. This paper demonstrates how this can be achieved by reducing lead time and establishing lean environment. Productivity improvement through the devised methodology led to further enhancement of competitiveness of the organisation for domestic and international markets of processed food manufactured by Tibaldi Australia. Lessons learned from application of TPM in Thermoforming, a key asset area, is rolled out to other sections of the plat and results from this pilot study are presented in this paper.
- Authors: Chundhoo, Vickram , Chattopadhyay, Gopinath , Gunawan, Indra , Ibrahim, Yousef
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017; Singapore, Singapore; 10th-13th December 2017 p. 929-933
- Full Text:
- Reviewed:
- Description: Overall Equipment Effectiveness (OEE) evaluates quantitatively how effectively a manufacturing operation is utilised. Total Productive Maintenance (TPM) was considered by Tibaldi, a leading food manufacturer in Australia for achieving OEE. This research project has identified performance gaps, developed plan and implemented it in Thermoforming area of the business. The developed methodology helped Tibaldi in improving productivity and quality through TPM involving machines, equipment, processes, and employees. This paper demonstrates how this can be achieved by reducing lead time and establishing lean environment. Productivity improvement through the devised methodology led to further enhancement of competitiveness of the organisation for domestic and international markets of processed food manufactured by Tibaldi Australia. Lessons learned from application of TPM in Thermoforming, a key asset area, is rolled out to other sections of the plat and results from this pilot study are presented in this paper.
Past and future ecosystem change in the coastal zone
- Authors: Gell, Peter
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2nd International Conference on Tropical and Coastal Region Eco Development 2016, ICTCRED 2016; Bali, Indonesia; 25th-27th October 2016; published in IOP Conference Series: Earth and Environmental Science Vol. 55, p. 1-8
- Full Text:
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- Description: The coastal zone is in a constant state of flux. Long term records of change attest to high amplitude sea level changes. Relative stability though the Late Holocene has allowed for the evolution of barrier dune systems, estuaries and coastal lakes with associated plant and faunal associations. This evolution has been interspersed with changes in the balance between climate driven changes in outflow from catchments. These interactions have been considerably disturbed through the impacts of industrialised people who have diverted and consumed water and invested in infrastructure that has impacted on river flows and the tidal prism in estuaries. This has impacted their provisioning services to humans. It has also impacted their regulating services in that development along the coastline has impacted on the resilience of the littoral zone to absorb natural climate extremes. Looking from the past we can see the pathway to the future and more easily recognise the steps needed to avoid further coastal degradation. This will increasingly need to accommodate the impacts of future climate trends, increased climate extremes and rising seas. Coastal societies would do well to identify their long term pathway to adaptation to the challenges that lie ahead and plan to invest accordingly. © Published under licence by IOP Publishing Ltd.
- Description: IOP Conference Series: Earth and Environmental Science
- Authors: Gell, Peter
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 2nd International Conference on Tropical and Coastal Region Eco Development 2016, ICTCRED 2016; Bali, Indonesia; 25th-27th October 2016; published in IOP Conference Series: Earth and Environmental Science Vol. 55, p. 1-8
- Full Text:
- Reviewed:
- Description: The coastal zone is in a constant state of flux. Long term records of change attest to high amplitude sea level changes. Relative stability though the Late Holocene has allowed for the evolution of barrier dune systems, estuaries and coastal lakes with associated plant and faunal associations. This evolution has been interspersed with changes in the balance between climate driven changes in outflow from catchments. These interactions have been considerably disturbed through the impacts of industrialised people who have diverted and consumed water and invested in infrastructure that has impacted on river flows and the tidal prism in estuaries. This has impacted their provisioning services to humans. It has also impacted their regulating services in that development along the coastline has impacted on the resilience of the littoral zone to absorb natural climate extremes. Looking from the past we can see the pathway to the future and more easily recognise the steps needed to avoid further coastal degradation. This will increasingly need to accommodate the impacts of future climate trends, increased climate extremes and rising seas. Coastal societies would do well to identify their long term pathway to adaptation to the challenges that lie ahead and plan to invest accordingly. © Published under licence by IOP Publishing Ltd.
- Description: IOP Conference Series: Earth and Environmental Science
Power transaction management amongst coupled microgrids in remote areas
- Batool, Munira, Islam, Syed, Shahnia, Farhad
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017;Auckland, New Zealand; 4th-7th December 2017 p. 1-6
- Full Text:
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- Description: Large remote areas normally have isolated and self-sufficient electricity supply systems, often referred to as microgrids. These systems also rely on a mix of dispatchable and non-dispatcha- ble distributed energy resources to reduce the overall cost of electricity production. Emergencies such as shortfalls, overloading, and faults can cause problems in the operation of these remote area microgrids. This paper presents a power transaction management scheme amongst a few such microgrids when they are coupled provisionally during emergencies. By definition, power transaction is an instance of buying and selling of electricity amongst problem and healthy microgrids. The developed technique aims to define the suitable power generation from all dispatchable sources and regulate the power transaction amongst the coupled microgrids. To this end, an optimization problem is formulated that aims to define the above parameters while minimizing the costs and technical impacts. A mixed- integer linear programming technique is used to solve the formulated problem. The performance of the proposed management strategy is evaluated by numerical analysis in MATLAB.
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017;Auckland, New Zealand; 4th-7th December 2017 p. 1-6
- Full Text:
- Reviewed:
- Description: Large remote areas normally have isolated and self-sufficient electricity supply systems, often referred to as microgrids. These systems also rely on a mix of dispatchable and non-dispatcha- ble distributed energy resources to reduce the overall cost of electricity production. Emergencies such as shortfalls, overloading, and faults can cause problems in the operation of these remote area microgrids. This paper presents a power transaction management scheme amongst a few such microgrids when they are coupled provisionally during emergencies. By definition, power transaction is an instance of buying and selling of electricity amongst problem and healthy microgrids. The developed technique aims to define the suitable power generation from all dispatchable sources and regulate the power transaction amongst the coupled microgrids. To this end, an optimization problem is formulated that aims to define the above parameters while minimizing the costs and technical impacts. A mixed- integer linear programming technique is used to solve the formulated problem. The performance of the proposed management strategy is evaluated by numerical analysis in MATLAB.
Principles and guidelines for Australian higher education Libraries : Capturing value
- Owen, Sue, Peasley, Jennifer, Paton, Barbara
- Authors: Owen, Sue , Peasley, Jennifer , Paton, Barbara
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: Second Annual TEQSA Conference; Melbourne, Australia; 29th November-1st December 2017 p. 146-158
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- Description: Reflecting on their time at university through an affinity survey, many alumni from Monash University reported affinity with their university library. Their Library! What makes that connection so strong? Aligning with institutional priorities and higher education standards, academic librarians have long partnered with faculties and divisions, conferred with research centres and liaised with student groups to augment university outcomes. However, tools for crystallising Library value are less advanced. In this paper, a new framework, Principles and Guidelines for Australian higher education libraries (2016), is introduced. Its purpose is to describe and assess the contribution of libraries to academic and research endeavour. It articulates Library value through major strategic priorities, each with high-level value statements or Principles and a suite of associated Guidelines. The framework marks a new generation of Library value and impact tools. Coupling the framework with associated performance indicators, library directors and stakeholders can be better informed of library value.
- Authors: Owen, Sue , Peasley, Jennifer , Paton, Barbara
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: Second Annual TEQSA Conference; Melbourne, Australia; 29th November-1st December 2017 p. 146-158
- Full Text:
- Reviewed:
- Description: Reflecting on their time at university through an affinity survey, many alumni from Monash University reported affinity with their university library. Their Library! What makes that connection so strong? Aligning with institutional priorities and higher education standards, academic librarians have long partnered with faculties and divisions, conferred with research centres and liaised with student groups to augment university outcomes. However, tools for crystallising Library value are less advanced. In this paper, a new framework, Principles and Guidelines for Australian higher education libraries (2016), is introduced. Its purpose is to describe and assess the contribution of libraries to academic and research endeavour. It articulates Library value through major strategic priorities, each with high-level value statements or Principles and a suite of associated Guidelines. The framework marks a new generation of Library value and impact tools. Coupling the framework with associated performance indicators, library directors and stakeholders can be better informed of library value.
Research on EKF-based localization method of tracked mobile robot
- Qu, Junsuo, Zhang, Qipeng, Hou, Leichao, Zhang, Ruijun, Ting, Kaiming
- Authors: Qu, Junsuo , Zhang, Qipeng , Hou, Leichao , Zhang, Ruijun , Ting, Kaiming
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017); Wuhan, China; 8th-9th July 2017; published in ACSR-Advances in Computer Science Research series Vol. 74, p. 175-180
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- Reviewed:
- Description: To estimate the position and heading angle of mobile robot precisely, an measurement variable estimation model was proposed to adapt any angle. Fusing the predictive value of odometry and measurement data of multiple sensors by the Extended Kalman Filtering (EKF) for reducing the accumulative error by using only traditional odometry. The proposed models is verified by Matlab simulation and experimental results.
- Authors: Qu, Junsuo , Zhang, Qipeng , Hou, Leichao , Zhang, Ruijun , Ting, Kaiming
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017); Wuhan, China; 8th-9th July 2017; published in ACSR-Advances in Computer Science Research series Vol. 74, p. 175-180
- Full Text:
- Reviewed:
- Description: To estimate the position and heading angle of mobile robot precisely, an measurement variable estimation model was proposed to adapt any angle. Fusing the predictive value of odometry and measurement data of multiple sensors by the Extended Kalman Filtering (EKF) for reducing the accumulative error by using only traditional odometry. The proposed models is verified by Matlab simulation and experimental results.
The impact of work-integrated learning experiences on attaining graduate attributes for exercise and sports science students
- Hall, Melinda, Pascoe, Deborah, Charity, Megan
- Authors: Hall, Melinda , Pascoe, Deborah , Charity, Megan
- Date: 2017
- Type: Text , Conference proceedings
- Relation: Australian Collaborative Education Network 2016 Annual Conference; Sydney, Australia; 28th-30th September 2016; published in Asia-Pacific Journal of Cooperative Education Vol. 18, p. 101-113
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- Reviewed:
- Description: Exercise and Sports Science (E&SS) programs at Federation University Australia provide work-integrated learning (WIL) opportunities for students to develop, apply and consolidate theoretical knowledge in the workplace. This study aimed to determine the influence of WIL experiences on achieving common graduate attributes for E&SS students. From a larger study cohort (N=80), semi-structured interviews (n=4) delved into participant perceptions of graduate attributes and the impact of positive and negative WIL experiences. Using constant comparative analysis, interviews were coded and arranged into lower and higher order themes using the Graduate Employability Skills publication as a framework and the process validated by a WIL colleague. Results showed three out of four essential graduate attributes were developed during all WIL experiences regardless of whether they were positive or negative. These findings have implications for E&SS higher education providers and WIL agencies in ensuring the development of key graduate attributes during all WIL experiences.
- Authors: Hall, Melinda , Pascoe, Deborah , Charity, Megan
- Date: 2017
- Type: Text , Conference proceedings
- Relation: Australian Collaborative Education Network 2016 Annual Conference; Sydney, Australia; 28th-30th September 2016; published in Asia-Pacific Journal of Cooperative Education Vol. 18, p. 101-113
- Full Text:
- Reviewed:
- Description: Exercise and Sports Science (E&SS) programs at Federation University Australia provide work-integrated learning (WIL) opportunities for students to develop, apply and consolidate theoretical knowledge in the workplace. This study aimed to determine the influence of WIL experiences on achieving common graduate attributes for E&SS students. From a larger study cohort (N=80), semi-structured interviews (n=4) delved into participant perceptions of graduate attributes and the impact of positive and negative WIL experiences. Using constant comparative analysis, interviews were coded and arranged into lower and higher order themes using the Graduate Employability Skills publication as a framework and the process validated by a WIL colleague. Results showed three out of four essential graduate attributes were developed during all WIL experiences regardless of whether they were positive or negative. These findings have implications for E&SS higher education providers and WIL agencies in ensuring the development of key graduate attributes during all WIL experiences.
A model for the introduction of Ayurvedic and Allopathic Electronic Health Records in Sri Lanka
- Stranieri, Andrew, Sahama, Tony, Butler-Henderson, Kerryn, Perera, Kamal
- Authors: Stranieri, Andrew , Sahama, Tony , Butler-Henderson, Kerryn , Perera, Kamal
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 IEEE International Symposium on Technology and Society; Trivandrum, Kerala, India; 20th-22nd October 2016 p. 56-61
- Full Text:
- Reviewed:
- Description: Fully integrated electronic health records (EHR) provide healthcare providers and patients access to records across a health care system and promise efficient and effective provision of health care. However, fully integrated records have proven to be very expensive and difficult to establish. Currently. EHR's have been developed largely to accommodate Western medicine events. These barriers impact on the introduction of EHR's in Sri Lanka, where health budgets are already stretched and Ayurvedic medicine is routinely practiced alongside Allopathic medicine. This article identifies requirements for EHR in the Sri Lankan context and advances a model for the introduction of EHR's that suits that context. The model is justified by drawing on insights and experiences with EHR in Western nations.
- Authors: Stranieri, Andrew , Sahama, Tony , Butler-Henderson, Kerryn , Perera, Kamal
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 IEEE International Symposium on Technology and Society; Trivandrum, Kerala, India; 20th-22nd October 2016 p. 56-61
- Full Text:
- Reviewed:
- Description: Fully integrated electronic health records (EHR) provide healthcare providers and patients access to records across a health care system and promise efficient and effective provision of health care. However, fully integrated records have proven to be very expensive and difficult to establish. Currently. EHR's have been developed largely to accommodate Western medicine events. These barriers impact on the introduction of EHR's in Sri Lanka, where health budgets are already stretched and Ayurvedic medicine is routinely practiced alongside Allopathic medicine. This article identifies requirements for EHR in the Sri Lankan context and advances a model for the introduction of EHR's that suits that context. The model is justified by drawing on insights and experiences with EHR in Western nations.
A new building mask using the gradient of heights for automatic building extraction
- Siddiqui, Fasahat, Awrangjeb, Mohammad, Teng, Shyh, Lu, Guojun
- Authors: Siddiqui, Fasahat , Awrangjeb, Mohammad , Teng, Shyh , Lu, Guojun
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 International Conference on Digital Image Computing: Techniques and Applications (Dicta); Gold Coast, Australia; 30th November-2nd December 2016 p. 288-294
- Full Text:
- Reviewed:
- Description: A number of building detection methods have been proposed in the literature. However, they are not effective in detecting small buildings (typically, 50 m(2)) and buildings with transparent roof due to the way area thresholds and ground points are used. This paper proposes a new building mask to overcome these limitations and enables detection of buildings not only with transparent roof materials but also which are small in size. The proposed building detection method transforms the non-ground height information into an intensity image and then analyses the gradient information in the image. It uses a small area threshold of 1 m2 and, thereby, is able to detect small buildings such as garden sheds. The use of non-ground points allows analyses of the gradient on all types of roof materials and, thus, the method is also able to detect buildings with transparent roofs. Our experimental results show that the proposed method can successfully extract buildings even when their roofs are small and/or transparent, thereby, achieving relatively higher average completeness and quality.
- Authors: Siddiqui, Fasahat , Awrangjeb, Mohammad , Teng, Shyh , Lu, Guojun
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 International Conference on Digital Image Computing: Techniques and Applications (Dicta); Gold Coast, Australia; 30th November-2nd December 2016 p. 288-294
- Full Text:
- Reviewed:
- Description: A number of building detection methods have been proposed in the literature. However, they are not effective in detecting small buildings (typically, 50 m(2)) and buildings with transparent roof due to the way area thresholds and ground points are used. This paper proposes a new building mask to overcome these limitations and enables detection of buildings not only with transparent roof materials but also which are small in size. The proposed building detection method transforms the non-ground height information into an intensity image and then analyses the gradient information in the image. It uses a small area threshold of 1 m2 and, thereby, is able to detect small buildings such as garden sheds. The use of non-ground points allows analyses of the gradient on all types of roof materials and, thus, the method is also able to detect buildings with transparent roofs. Our experimental results show that the proposed method can successfully extract buildings even when their roofs are small and/or transparent, thereby, achieving relatively higher average completeness and quality.