Exploring the application of artificial neural network in rural streamflow prediction - A feasibility study
- Choudhury, Tanveer, Wei, Jackie, Barton, Andrew, Kandra, Harpreet, Aziz, Abdul
- Authors: Choudhury, Tanveer , Wei, Jackie , Barton, Andrew , Kandra, Harpreet , Aziz, Abdul
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 27th IEEE International Symposium on Industrial Electronics, ISIE 2018; Cairns, Australia; 13th-15th June 2018 Vol. 2018-June, p. 753-758
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- Description: Streams and rivers play a critical role in the hydrologic cycle with their management being essential to maintaining a balance across social, economic and environmental outcomes. Accurate streamflow predictions can provide benefits in many different ways such as water allocation decision making, flood forecasting and environmental watering regimes. This is particularly important in regional areas of Australia where rivers can play a critical role in irrigated agriculture, recreation and social wellbeing, major floods and sustainable environments. There are several hydrological parameters that effect stream flows in rivers and a major challenge with any prediction methodology, is to understand these parameter interdependencies, correlations and their individual effects. A robust methodology is, thus, required for accurate prediction of streamflow under usually unique, waterway-specific conditions using available data. This research employs an approach based on Artificial Neural Network (ANN) to provide this robust methodology. Data from readily available sources has been selected to provide appropriate input and output parameters to train, validate and optimise the neural network. The optimisation steps of the methodology are discussed and the predicted outputs are compared and analysed with respect to the actual collected values. © 2018 IEEE.
- Description: IEEE International Symposium on Industrial Electronics
- Authors: Choudhury, Tanveer , Wei, Jackie , Barton, Andrew , Kandra, Harpreet , Aziz, Abdul
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 27th IEEE International Symposium on Industrial Electronics, ISIE 2018; Cairns, Australia; 13th-15th June 2018 Vol. 2018-June, p. 753-758
- Full Text:
- Reviewed:
- Description: Streams and rivers play a critical role in the hydrologic cycle with their management being essential to maintaining a balance across social, economic and environmental outcomes. Accurate streamflow predictions can provide benefits in many different ways such as water allocation decision making, flood forecasting and environmental watering regimes. This is particularly important in regional areas of Australia where rivers can play a critical role in irrigated agriculture, recreation and social wellbeing, major floods and sustainable environments. There are several hydrological parameters that effect stream flows in rivers and a major challenge with any prediction methodology, is to understand these parameter interdependencies, correlations and their individual effects. A robust methodology is, thus, required for accurate prediction of streamflow under usually unique, waterway-specific conditions using available data. This research employs an approach based on Artificial Neural Network (ANN) to provide this robust methodology. Data from readily available sources has been selected to provide appropriate input and output parameters to train, validate and optimise the neural network. The optimisation steps of the methodology are discussed and the predicted outputs are compared and analysed with respect to the actual collected values. © 2018 IEEE.
- Description: IEEE International Symposium on Industrial Electronics
GDPR: Governance implications for regimes outside the EU
- Ingley, Coral, Wells, Philippa
- Authors: Ingley, Coral , Wells, Philippa
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 14th European Conference on Management, Leadership and Governance, ECMLG 2018 p. 105-113
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- Description: It is estimated that as of 2017 around 120 nations around the globe had legislation to protect personal data with at least another 30 in train. Many of the early regimes (dating back to the 1980s and 90s) reflect the OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data (1980, updated 2013). However, there are also increasing concerns that these guidelines may no longer be fit for purpose with recent issues regarding breaches of data security and privacy. The EU's General Data Protection Regulation (GDPR) (2016) implements a reformed data privacy regime. Tellingly, some of the new and pending privacy regulations elsewhere reflect the GDPR, a characteristic that suggests much about the impact of international trade. Two questions arise: first, how is the GDPR likely to affect and influence governance of organisations, not only those domiciled in the EU, but also those trading with the Union or having a presence there? Second, compared to the GDPR, what gaps are there in other existing privacy regimes and what are the implications for the governance of those organisations and their risk management strategies? This paper compares the GDPR with privacy regimes in place in New Zealand and Australia (the first of which has GDPR “approved country status” for receipt of data) and attempts to answer the questions above, thus providing a focus for empirical research. As such, the paper provides insight into the impact of the data privacy and security legislative reform, on corporate governance, strategy and risk management beyond the EU in its reach to far distant regions. © The Authors, 2018. All Rights Reserved.
- Description: Proceedings of the 14th European Conference on Management, Leadership and Governance, ECMLG 2018
- Authors: Ingley, Coral , Wells, Philippa
- Date: 2018
- Type: Text , Conference proceedings
- Relation: 14th European Conference on Management, Leadership and Governance, ECMLG 2018 p. 105-113
- Full Text:
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- Description: It is estimated that as of 2017 around 120 nations around the globe had legislation to protect personal data with at least another 30 in train. Many of the early regimes (dating back to the 1980s and 90s) reflect the OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data (1980, updated 2013). However, there are also increasing concerns that these guidelines may no longer be fit for purpose with recent issues regarding breaches of data security and privacy. The EU's General Data Protection Regulation (GDPR) (2016) implements a reformed data privacy regime. Tellingly, some of the new and pending privacy regulations elsewhere reflect the GDPR, a characteristic that suggests much about the impact of international trade. Two questions arise: first, how is the GDPR likely to affect and influence governance of organisations, not only those domiciled in the EU, but also those trading with the Union or having a presence there? Second, compared to the GDPR, what gaps are there in other existing privacy regimes and what are the implications for the governance of those organisations and their risk management strategies? This paper compares the GDPR with privacy regimes in place in New Zealand and Australia (the first of which has GDPR “approved country status” for receipt of data) and attempts to answer the questions above, thus providing a focus for empirical research. As such, the paper provides insight into the impact of the data privacy and security legislative reform, on corporate governance, strategy and risk management beyond the EU in its reach to far distant regions. © The Authors, 2018. All Rights Reserved.
- Description: Proceedings of the 14th European Conference on Management, Leadership and Governance, ECMLG 2018
Government business programs and regional business knowledge transmission by professional business advisor
- Labas, Alan, Courvisanos, Jerry
- Authors: Labas, Alan , Courvisanos, Jerry
- Date: 2018
- Type: Text , Conference proceedings
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- Description: Based on research seeking to understand mechanisms affecting the provision of small business advisory services in a Regional (non-metropolitan) Australian setting, by what are called Professional Business Advisors (PBAs), an emergent theme identifies government business programs and initiatives as significant conduits for regional business knowledge transmission. However, those programs and initiatives are also perceived to impose substantial constraints for PBAs providing services in regional communities. The identified constraining factors include issues of financial viability for PBAs, ineligibility of many regional small businesses to access government funded initiatives, capriciousness of government programs, and clash between technology utilisation and infrastructure reliability in some non-metropolitan regional areas. Regional Australian PBAs service a heterogeneous collection of businesses across large geographic areas. Yet, the potential influence that these PBAs have in the process of knowledge transmission is severely constrained by current government programs aimed both at start-up regional businesses and those pursuing organisational growth. Such constraints raise concerns that have regional policy implications.
- Authors: Labas, Alan , Courvisanos, Jerry
- Date: 2018
- Type: Text , Conference proceedings
- Full Text:
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- Description: Based on research seeking to understand mechanisms affecting the provision of small business advisory services in a Regional (non-metropolitan) Australian setting, by what are called Professional Business Advisors (PBAs), an emergent theme identifies government business programs and initiatives as significant conduits for regional business knowledge transmission. However, those programs and initiatives are also perceived to impose substantial constraints for PBAs providing services in regional communities. The identified constraining factors include issues of financial viability for PBAs, ineligibility of many regional small businesses to access government funded initiatives, capriciousness of government programs, and clash between technology utilisation and infrastructure reliability in some non-metropolitan regional areas. Regional Australian PBAs service a heterogeneous collection of businesses across large geographic areas. Yet, the potential influence that these PBAs have in the process of knowledge transmission is severely constrained by current government programs aimed both at start-up regional businesses and those pursuing organisational growth. Such constraints raise concerns that have regional policy implications.
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
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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.
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:
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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.
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
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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.
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
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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.
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.
Permit-to-work systems as a health and safety risk control strategy in mining : A prospective study in resilience engineering
- Pillay, Manikam, Tuck, Michael
- Authors: Pillay, Manikam , Tuck, Michael
- Date: 2018
- Type: Text , Conference proceedings , Conference paper
- Relation: AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 : Advances in Human Error, Reliability, Resilience, and Performance; Los Angeles, USA; 17th-21st July 2017; published in Advances in Intelligent Systems and Computing Vol. 589, p. 145-154
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- Description: Mining is an important contributor to the social and economic fabric of our society. However, it is also considered to be one of the most dangerous industries. Compared to manufacturing, mining is generally regarded as a more complex industry to work in, creating additional challenges for policy makers, researchers and practitioners. This paper first discusses the state of mining health and safety in Australia, followed by an examination of some of the complexities that characterizes the industry. Next one contemporary approach, permit-to-work systems (PTW), is introduced, followed by a review of the literature relating to its use as a health and safety risk control strategy. This is followed by a discussion of Resilience engineering (RE) as an innovation in health and safety management, and a case made for investigating RE as a safety management strategy using PTW systems. The paper concludes by suggesting a pragmatism research framework and two organizational theories upon which such research can be advanced. © Her Majesty the Queen in Right of United Kingdom 2018.
- Authors: Pillay, Manikam , Tuck, Michael
- Date: 2018
- Type: Text , Conference proceedings , Conference paper
- Relation: AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 : Advances in Human Error, Reliability, Resilience, and Performance; Los Angeles, USA; 17th-21st July 2017; published in Advances in Intelligent Systems and Computing Vol. 589, p. 145-154
- Full Text:
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- Description: Mining is an important contributor to the social and economic fabric of our society. However, it is also considered to be one of the most dangerous industries. Compared to manufacturing, mining is generally regarded as a more complex industry to work in, creating additional challenges for policy makers, researchers and practitioners. This paper first discusses the state of mining health and safety in Australia, followed by an examination of some of the complexities that characterizes the industry. Next one contemporary approach, permit-to-work systems (PTW), is introduced, followed by a review of the literature relating to its use as a health and safety risk control strategy. This is followed by a discussion of Resilience engineering (RE) as an innovation in health and safety management, and a case made for investigating RE as a safety management strategy using PTW systems. The paper concludes by suggesting a pragmatism research framework and two organizational theories upon which such research can be advanced. © Her Majesty the Queen in Right of United Kingdom 2018.
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
- 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
- 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
Designing a pulsed eddy current sensing set-up for cast iron thickness assessment
- Ulapane, Nalika, Nguyen, Linh, Miro, Jaime Valls, Alempijevic, Alen, Dissanayake, Gamini
- Authors: Ulapane, Nalika , Nguyen, Linh , Miro, Jaime Valls , Alempijevic, Alen , Dissanayake, Gamini
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 901-906
- Full Text:
- Reviewed:
- Description: Pulsed Eddy Current (PEC) sensors possess proven functionality in measuring ferromagnetic material thickness. However, most commercial PEC service providers as well as researchers have investigated and claim functionality of sensors on homogeneous structural steels (steel grade Q235 for example). In this paper, we present design steps for a PEC sensing set-up to measure thickness of cast iron, which is unlike steel, is a highly inhomogeneous and non-linear ferromagnetic material. The setup includes a PEC sensor, sensor excitation and reception circuits, and a unique signal processing method. The signal processing method yields a signal feature which behaves as a function of thickness. The signal feature has a desirable characteristic of being lowly influenced by lift-off. Experimental results show that the set-up is usable for Non-destructive Evaluation (NDE) applications such as cast iron water pipe assessment.
- Authors: Ulapane, Nalika , Nguyen, Linh , Miro, Jaime Valls , Alempijevic, Alen , Dissanayake, Gamini
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 901-906
- Full Text:
- Reviewed:
- Description: Pulsed Eddy Current (PEC) sensors possess proven functionality in measuring ferromagnetic material thickness. However, most commercial PEC service providers as well as researchers have investigated and claim functionality of sensors on homogeneous structural steels (steel grade Q235 for example). In this paper, we present design steps for a PEC sensing set-up to measure thickness of cast iron, which is unlike steel, is a highly inhomogeneous and non-linear ferromagnetic material. The setup includes a PEC sensor, sensor excitation and reception circuits, and a unique signal processing method. The signal processing method yields a signal feature which behaves as a function of thickness. The signal feature has a desirable characteristic of being lowly influenced by lift-off. Experimental results show that the set-up is usable for Non-destructive Evaluation (NDE) applications such as cast iron water pipe assessment.
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
- 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.
- 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
- 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.
- 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
- 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.
- 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:
- 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.
- 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:
- 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
- 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:
- 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.
- 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.