A deep fusion gaussian mixture model for multiview land data clustering
- Li, Peng, Chen, Zhikui, Gao, Jing, Zhang, Jianing, Jin, Shan, Zhao, Wenhan, Xia, Feng, Wang, Lu
- Authors: Li, Peng , Chen, Zhikui , Gao, Jing , Zhang, Jianing , Jin, Shan , Zhao, Wenhan , Xia, Feng , Wang, Lu
- Date: 2020
- Type: Text , Journal article
- Relation: Wireless Communications and Mobile Computing Vol. 2020, no. (2020), p.
- Full Text:
- Reviewed:
- Description: With the rapid industrialization and urbanization, pattern mining of soil contamination of heavy metals is attracting increasing attention to control soil contamination. However, the correlation over various heavy metals and the high-dimension representation of heavy metal data pose vast challenges on the accurate mining of patterns over heavy metals of soil contamination. To solve those challenges, a multiview Gaussian mixture model is proposed in this paper, to naturally capture complicated relationships over multiviews on the basis of deep fusion features of data. Specifically, a deep fusion feature architecture containing modality-specific and modality-common stacked autoencoders is designed to distill fusion representations from the information of all views. Then, the Gaussian mixture model is extended on the fusion representations to naturally recognize the accurate patterns of the intra- and inter-views. Finally, extensive experiments are conducted on the representative datasets to evaluate the performance of the multiview Gaussian mixture model. Results show the outperformance of the proposed methods. © 2020 Peng Li et al.
- Authors: Li, Peng , Chen, Zhikui , Gao, Jing , Zhang, Jianing , Jin, Shan , Zhao, Wenhan , Xia, Feng , Wang, Lu
- Date: 2020
- Type: Text , Journal article
- Relation: Wireless Communications and Mobile Computing Vol. 2020, no. (2020), p.
- Full Text:
- Reviewed:
- Description: With the rapid industrialization and urbanization, pattern mining of soil contamination of heavy metals is attracting increasing attention to control soil contamination. However, the correlation over various heavy metals and the high-dimension representation of heavy metal data pose vast challenges on the accurate mining of patterns over heavy metals of soil contamination. To solve those challenges, a multiview Gaussian mixture model is proposed in this paper, to naturally capture complicated relationships over multiviews on the basis of deep fusion features of data. Specifically, a deep fusion feature architecture containing modality-specific and modality-common stacked autoencoders is designed to distill fusion representations from the information of all views. Then, the Gaussian mixture model is extended on the fusion representations to naturally recognize the accurate patterns of the intra- and inter-views. Finally, extensive experiments are conducted on the representative datasets to evaluate the performance of the multiview Gaussian mixture model. Results show the outperformance of the proposed methods. © 2020 Peng Li et al.
A deep learning model based on concatenation approach for the diagnosis of brain tumor
- Noreen, Neelum, Palaniappan, Sellappan, Qayyum, Abdul, Ahmad, Iftikhar, Imran, Muhammad, Shoaib, M.uhammad
- Authors: Noreen, Neelum , Palaniappan, Sellappan , Qayyum, Abdul , Ahmad, Iftikhar , Imran, Muhammad , Shoaib, M.uhammad
- Date: 2020
- Type: Text , Journal article
- Relation: IEEE Access Vol. 8, no. (2020), p. 55135-55144
- Full Text:
- Reviewed:
- Description: Brain tumor is a deadly disease and its classification is a challenging task for radiologists because of the heterogeneous nature of the tumor cells. Recently, computer-aided diagnosis-based systems have promised, as an assistive technology, to diagnose the brain tumor, through magnetic resonance imaging (MRI). In recent applications of pre-trained models, normally features are extracted from bottom layers which are different from natural images to medical images. To overcome this problem, this study proposes a method of multi-level features extraction and concatenation for early diagnosis of brain tumor. Two pre-trained deep learning models i.e. Inception-v3 and DensNet201 make this model valid. With the help of these two models, two different scenarios of brain tumor detection and its classification were evaluated. First, the features from different Inception modules were extracted from pre-trained Inception-v3 model and concatenated these features for brain tumor classification. Then, these features were passed to softmax classifier to classify the brain tumor. Second, pre-trained DensNet201 was used to extract features from various DensNet blocks. Then, these features were concatenated and passed to softmax classifier to classify the brain tumor. Both scenarios were evaluated with the help of three-class brain tumor dataset that is available publicly. The proposed method produced 99.34 %, and 99.51% testing accuracies respectively with Inception-v3 and DensNet201 on testing samples and achieved highest performance in the detection of brain tumor. As results indicated, the proposed method based on features concatenation using pre-trained models outperformed as compared to existing state-of-the-art deep learning and machine learning based methods for brain tumor classification. © 2013 IEEE.
- Authors: Noreen, Neelum , Palaniappan, Sellappan , Qayyum, Abdul , Ahmad, Iftikhar , Imran, Muhammad , Shoaib, M.uhammad
- Date: 2020
- Type: Text , Journal article
- Relation: IEEE Access Vol. 8, no. (2020), p. 55135-55144
- Full Text:
- Reviewed:
- Description: Brain tumor is a deadly disease and its classification is a challenging task for radiologists because of the heterogeneous nature of the tumor cells. Recently, computer-aided diagnosis-based systems have promised, as an assistive technology, to diagnose the brain tumor, through magnetic resonance imaging (MRI). In recent applications of pre-trained models, normally features are extracted from bottom layers which are different from natural images to medical images. To overcome this problem, this study proposes a method of multi-level features extraction and concatenation for early diagnosis of brain tumor. Two pre-trained deep learning models i.e. Inception-v3 and DensNet201 make this model valid. With the help of these two models, two different scenarios of brain tumor detection and its classification were evaluated. First, the features from different Inception modules were extracted from pre-trained Inception-v3 model and concatenated these features for brain tumor classification. Then, these features were passed to softmax classifier to classify the brain tumor. Second, pre-trained DensNet201 was used to extract features from various DensNet blocks. Then, these features were concatenated and passed to softmax classifier to classify the brain tumor. Both scenarios were evaluated with the help of three-class brain tumor dataset that is available publicly. The proposed method produced 99.34 %, and 99.51% testing accuracies respectively with Inception-v3 and DensNet201 on testing samples and achieved highest performance in the detection of brain tumor. As results indicated, the proposed method based on features concatenation using pre-trained models outperformed as compared to existing state-of-the-art deep learning and machine learning based methods for brain tumor classification. © 2013 IEEE.
A demand driven web service lifecycle
- Sun, Zhaohao, Dong, Dong, Han, Jun
- Authors: Sun, Zhaohao , Dong, Dong , Han, Jun
- Date: 2009
- Type: Text , Conference paper
- Relation: Paper presented at 2009 International Conference on New Trends in Information and Service Science, NISS 2009, Beijing, China : 30th June - 2nd July 2009 p. 8-14
- Full Text:
- Description: Web service lifecycle is a fundamental topic for web services and service computing. This article will examine web service lifecycle and propose a demand-driven model for web service lifecycle taking into account the demand of the main parties in web services. The proposed approach will facilitate the research and development of web services, e-services, service intelligence and service computing. © 2009 IEEE.
- Authors: Sun, Zhaohao , Dong, Dong , Han, Jun
- Date: 2009
- Type: Text , Conference paper
- Relation: Paper presented at 2009 International Conference on New Trends in Information and Service Science, NISS 2009, Beijing, China : 30th June - 2nd July 2009 p. 8-14
- Full Text:
- Description: Web service lifecycle is a fundamental topic for web services and service computing. This article will examine web service lifecycle and propose a demand-driven model for web service lifecycle taking into account the demand of the main parties in web services. The proposed approach will facilitate the research and development of web services, e-services, service intelligence and service computing. © 2009 IEEE.
A depth-based hybrid approach for safe flight corridor generation in memoryless planning
- Nguyen, Thai, Murshed, Mamzur, Choudhury, Tanveer, Keogh, Kathleen, Appuhamillage, Gayan, Nguyen, Linh
- Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Appuhamillage, Gayan , Nguyen, Linh
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 16 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning. © 2023 by the authors.
- Authors: Nguyen, Thai , Murshed, Mamzur , Choudhury, Tanveer , Keogh, Kathleen , Appuhamillage, Gayan , Nguyen, Linh
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 16 (2023), p.
- Full Text:
- Reviewed:
- Description: This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requirement for map fusion. We then employ an object-detection network to directly predict the base of polyhedral safe corridors in a new raw depth image. Furthermore, we apply a verification procedure to eliminate any false predictions so that the resulting collision-free corridors are guaranteed. More importantly, the proposed mechanism helps produce separate safe corridors with minimal overlap that are suitable to be used as space boundaries for path planning. The average intersection of union (IoU) of corridors obtained by the proposed algorithm is less than 2%. To evaluate the effectiveness of our method, we incorporated it into a memoryless planner with a straight-line path-planning algorithm. We then tested the entire system in both synthetic and real-world obstacle-dense environments. The obtained results with very high success rates demonstrate that the proposed approach is highly capable of producing safe corridors for memoryless local planning. © 2023 by the authors.
A description of incidence rings of group automata
- Kelarev, Andrei, Passman, D.S.
- Authors: Kelarev, Andrei , Passman, D.S.
- Date: 2008
- Type: Text , Book chapter
- Relation: Contemporary Mathematics : Noncommutative Rings, Group Rings, Diagram Algebras and Their Applications : International Conference December 18-22, 2006, University of Madras, Chennai, India Chapter p. 27-33
- Full Text:
- Description: Group automata occur in the Krohn-Rhodes Decomposition Theorem and have been extensively investigated in the literature. The incidence rings of group automata were introduced by the first author in analogy with group rings and incidence rings of graphs. The main theorem of the present paper gives a complete description of the structure of incidence rings of group automata in terms of matrix rings over group rings and their natural modules. As a consequence, when the ground ring is a field, we can use known group algebra results to determine when the incidence algebra is prime, semiprime, Artinian or semisimple. We also offer sufficient conditions for the algebra to be semiprimitive.
- Description: 2003006588
- Authors: Kelarev, Andrei , Passman, D.S.
- Date: 2008
- Type: Text , Book chapter
- Relation: Contemporary Mathematics : Noncommutative Rings, Group Rings, Diagram Algebras and Their Applications : International Conference December 18-22, 2006, University of Madras, Chennai, India Chapter p. 27-33
- Full Text:
- Description: Group automata occur in the Krohn-Rhodes Decomposition Theorem and have been extensively investigated in the literature. The incidence rings of group automata were introduced by the first author in analogy with group rings and incidence rings of graphs. The main theorem of the present paper gives a complete description of the structure of incidence rings of group automata in terms of matrix rings over group rings and their natural modules. As a consequence, when the ground ring is a field, we can use known group algebra results to determine when the incidence algebra is prime, semiprime, Artinian or semisimple. We also offer sufficient conditions for the algebra to be semiprimitive.
- Description: 2003006588
A descriptive study of health, lifestyle and sociodemographic characteristics and their relationship to known dementia risk factors in rural Victorian communities
- Ervin, Kaye, Pallant, Julie, Terry, Daniel, Bourke, Lisa, Pierce, David, Glenister, Kristen
- Authors: Ervin, Kaye , Pallant, Julie , Terry, Daniel , Bourke, Lisa , Pierce, David , Glenister, Kristen
- Date: 2015
- Type: Text , Journal article
- Relation: Aims Medical Science Vol. 2, no. 3 (2015), p. 246-260
- Full Text:
- Reviewed:
- Description: It is essential to determine the key health risk factors among populations to specifically plan future services and explore interventions that modify risk factors for communities. This aims to reduce risks and delay the onset of chronic conditions, which frequently results in dementia, particularly for small rural communities which experience health workforce shortages, a higher proportion of those in the chronic conditions age group, and reduced access to care. The aim of the study was to determine existing rates of chronic disease, and current lifestyle and sociodemographic factors which may predispose the population to higher risk of dementia. Residents from three shires in rural Victoria, Australia were recruited by random and non-random sampling techniques to complete a survey regarding health perceptions, pre-existing illnesses, health behaviors and social activity in their community. A total of 1474 people completed the survey. Positive factors reported were social participation and low rates of smoking. Negative factors included low rates of physical activity, high rates of obesity and high rates of chronic conditions that indicate significant risk factors for dementia in these communities. Although some factors are modifiable, these communities also have a large population of older residents. This study suggests that community interventions could modify lifestyle risk factors in these rural communities. These lifestyle factors, age of residents and the current chronic conditions are also important for rural service planning to increase preventive actions, and warn of the likely increase in the number of people developing chronic conditions with predispositon to dementia.
- Authors: Ervin, Kaye , Pallant, Julie , Terry, Daniel , Bourke, Lisa , Pierce, David , Glenister, Kristen
- Date: 2015
- Type: Text , Journal article
- Relation: Aims Medical Science Vol. 2, no. 3 (2015), p. 246-260
- Full Text:
- Reviewed:
- Description: It is essential to determine the key health risk factors among populations to specifically plan future services and explore interventions that modify risk factors for communities. This aims to reduce risks and delay the onset of chronic conditions, which frequently results in dementia, particularly for small rural communities which experience health workforce shortages, a higher proportion of those in the chronic conditions age group, and reduced access to care. The aim of the study was to determine existing rates of chronic disease, and current lifestyle and sociodemographic factors which may predispose the population to higher risk of dementia. Residents from three shires in rural Victoria, Australia were recruited by random and non-random sampling techniques to complete a survey regarding health perceptions, pre-existing illnesses, health behaviors and social activity in their community. A total of 1474 people completed the survey. Positive factors reported were social participation and low rates of smoking. Negative factors included low rates of physical activity, high rates of obesity and high rates of chronic conditions that indicate significant risk factors for dementia in these communities. Although some factors are modifiable, these communities also have a large population of older residents. This study suggests that community interventions could modify lifestyle risk factors in these rural communities. These lifestyle factors, age of residents and the current chronic conditions are also important for rural service planning to increase preventive actions, and warn of the likely increase in the number of people developing chronic conditions with predispositon to dementia.
A deterministic model of the vertical jump : Implications for training
- Ham, Daniel, Knez, Wade, Young, Warren
- Authors: Ham, Daniel , Knez, Wade , Young, Warren
- Date: 2007
- Type: Text , Journal article
- Relation: Journal of Strength and Conditioning Research Vol. 21, no. 3 (2007), p. 967-972
- Full Text:
- Reviewed:
- Description: A deterministic model of the vertical jump: implications for training. J. Strength Cond. Res. 21(3):967-972. 2007. - Increasing vertical jump height is a critical component for performance enhancement in many sports. It takes on a number of different forms and conditions, including double and single legged jumps and stationary and run-up jumps. In an attempt to understand the factors that influence vertical jump performance, an extensive analysis was undertaken using the deterministic model. Once identified, practical training strategies enabling improvement in these factors were elucidated. Our analysis showed that a successful vertical jump performance was the result of a complex interplay of run-up speed, reactive strength, concentric action power of the take-off leg(s), hip flexors, shoulders, body position, body mass, and take-off time. Of special interest, our analysis showed that the concentric action power of the legs was the critical factor affecting stationary double leg vertical jumps, whereas reactive strength was the critical component for a single leg jump from a run-up. © 2007 National Strength & Conditioning Association.
- Description: C1
- Description: 2003005651
- Authors: Ham, Daniel , Knez, Wade , Young, Warren
- Date: 2007
- Type: Text , Journal article
- Relation: Journal of Strength and Conditioning Research Vol. 21, no. 3 (2007), p. 967-972
- Full Text:
- Reviewed:
- Description: A deterministic model of the vertical jump: implications for training. J. Strength Cond. Res. 21(3):967-972. 2007. - Increasing vertical jump height is a critical component for performance enhancement in many sports. It takes on a number of different forms and conditions, including double and single legged jumps and stationary and run-up jumps. In an attempt to understand the factors that influence vertical jump performance, an extensive analysis was undertaken using the deterministic model. Once identified, practical training strategies enabling improvement in these factors were elucidated. Our analysis showed that a successful vertical jump performance was the result of a complex interplay of run-up speed, reactive strength, concentric action power of the take-off leg(s), hip flexors, shoulders, body position, body mass, and take-off time. Of special interest, our analysis showed that the concentric action power of the legs was the critical factor affecting stationary double leg vertical jumps, whereas reactive strength was the critical component for a single leg jump from a run-up. © 2007 National Strength & Conditioning Association.
- Description: C1
- Description: 2003005651
A differential scanning calorimetry study of some metal 2,4 pentanedionates
- Authors: Murray, John
- Date: 1987
- Type: Text , Thesis , Masters
- Full Text: false
- Description: The sublimation enthalpy of beryllium (II), aluminium (III), chromium (III), iron (III), cobalt (III), nickel (II), copper (II), oxovanadium (IV) and zirconium (IV) 2,4 -pentanedionate complexes has been determined by vacuum Differential Scanning Calorimetry (DSC), subsequent to benzoic acid being proposed as calibrant for this technique. In conjunction with existing thermochemical data for these complexes, metal-ligand homolytic bond dissociation energies are calculated and are rationalized in terms of the ionic size of the coordinated meta and the crystal field stabilization energies for the complex. Old and new methods for the determination of sublimation enthalpy are reviewed and the present data collectively reveal the versatility and precision of DSC fort the direct determination of sublimation enthalpies of metal complexes. The new sublimation enthalpy data presented for metal 2-4- pentanedionate complexes effectively ends the controversy associated with the previously reported corresponding data/
- Description: Master of Applied Science
- Authors: Murray, John
- Date: 1987
- Type: Text , Thesis , Masters
- Full Text: false
- Description: The sublimation enthalpy of beryllium (II), aluminium (III), chromium (III), iron (III), cobalt (III), nickel (II), copper (II), oxovanadium (IV) and zirconium (IV) 2,4 -pentanedionate complexes has been determined by vacuum Differential Scanning Calorimetry (DSC), subsequent to benzoic acid being proposed as calibrant for this technique. In conjunction with existing thermochemical data for these complexes, metal-ligand homolytic bond dissociation energies are calculated and are rationalized in terms of the ionic size of the coordinated meta and the crystal field stabilization energies for the complex. Old and new methods for the determination of sublimation enthalpy are reviewed and the present data collectively reveal the versatility and precision of DSC fort the direct determination of sublimation enthalpies of metal complexes. The new sublimation enthalpy data presented for metal 2-4- pentanedionate complexes effectively ends the controversy associated with the previously reported corresponding data/
- Description: Master of Applied Science
A DNA toolbox for non-invasive genetic studies of sambar deer (Rusa unicolor)
- Davies, Chris, Wright, Wendy, Wedrowicz, Faye, Hogan, Fiona
- Authors: Davies, Chris , Wright, Wendy , Wedrowicz, Faye , Hogan, Fiona
- Date: 2020
- Type: Text , Journal article
- Relation: Australian Mammalogy Vol. 42, no. 1 (2020), p. 58-66
- Full Text:
- Reviewed:
- Description: Invasive sambar deer (Rusa unicolor) are having significant detrimental impacts on natural environments in south-eastern Australia. Little, however, is known about their ecology, limiting evidence-based management strategies directed at reducing deer impacts. Genetic data, generated from DNA isolated from deer scats, can be used to fill ecological knowledge gaps. This study outlines a non-invasive genetic sampling strategy by which good-quality DNA from a single deer scat can be used to determine (1) species of origin, (2) sex and (3) a unique DNA profile. DNA from deer tissue and sambar deer scat samples were used to develop and optimise molecular methods to collect reliable genetic information. A DNA toolbox is presented that describes how to find, collect and store scat samples, isolate DNA and use molecular markers to generate informative genetic data. Generating genetic data using this approach will support studies aimed at acquiring ecological knowledge about sambar deer. Such knowledge will be critical for developing evidence-based recommendations to improve on-ground management decisions for sambar deer.
- Authors: Davies, Chris , Wright, Wendy , Wedrowicz, Faye , Hogan, Fiona
- Date: 2020
- Type: Text , Journal article
- Relation: Australian Mammalogy Vol. 42, no. 1 (2020), p. 58-66
- Full Text:
- Reviewed:
- Description: Invasive sambar deer (Rusa unicolor) are having significant detrimental impacts on natural environments in south-eastern Australia. Little, however, is known about their ecology, limiting evidence-based management strategies directed at reducing deer impacts. Genetic data, generated from DNA isolated from deer scats, can be used to fill ecological knowledge gaps. This study outlines a non-invasive genetic sampling strategy by which good-quality DNA from a single deer scat can be used to determine (1) species of origin, (2) sex and (3) a unique DNA profile. DNA from deer tissue and sambar deer scat samples were used to develop and optimise molecular methods to collect reliable genetic information. A DNA toolbox is presented that describes how to find, collect and store scat samples, isolate DNA and use molecular markers to generate informative genetic data. Generating genetic data using this approach will support studies aimed at acquiring ecological knowledge about sambar deer. Such knowledge will be critical for developing evidence-based recommendations to improve on-ground management decisions for sambar deer.
A dynamic content distribution scheme for decentralized sharing in tourist hotspots
- Kaisar, Shahriar, Kamruzzaman, Joarder, Karmakar, Gour
- Authors: Kaisar, Shahriar , Kamruzzaman, Joarder , Karmakar, Gour
- Date: 2019
- Type: Text , Journal article
- Relation: Journal of Network and Computer Applications Vol. 129, no. (2019), p. 9-24
- Full Text:
- Reviewed:
- Description: Decentralized content sharing (DCS) is emerging as a suitable platform for smart mobile device users to generate and share contents seamlessly without the requirement of a centralized server. This feature is particularly important for places that lack Internet coverage such as tourist attractions where users can form an ad-hoc network and communicate opportunistically to share contents. Existing DCS approaches when applied for such type of places suffer from low delivery success rate and high latency. Although a handful of recent approaches have specifically targeted improvement of content delivery service in tourist spot like scenario, these and other DCS approaches do not focus on contents’ demand and supply which vary considerably due to visitor in-and-out flow and occurrence of influencing events. This is further compounded by the lack of any content distribution (replication) scheme. The content delivery service will be improved if contents can be proactively distributed in strategic positions based on dynamic demand and supply and medium access contention. In this paper, we propose a dynamic content distribution scheme (DCDS) considering these practical issues for sharing contents in tourist attractions. Simulation results show that the proposed approach significantly improves (7
- Authors: Kaisar, Shahriar , Kamruzzaman, Joarder , Karmakar, Gour
- Date: 2019
- Type: Text , Journal article
- Relation: Journal of Network and Computer Applications Vol. 129, no. (2019), p. 9-24
- Full Text:
- Reviewed:
- Description: Decentralized content sharing (DCS) is emerging as a suitable platform for smart mobile device users to generate and share contents seamlessly without the requirement of a centralized server. This feature is particularly important for places that lack Internet coverage such as tourist attractions where users can form an ad-hoc network and communicate opportunistically to share contents. Existing DCS approaches when applied for such type of places suffer from low delivery success rate and high latency. Although a handful of recent approaches have specifically targeted improvement of content delivery service in tourist spot like scenario, these and other DCS approaches do not focus on contents’ demand and supply which vary considerably due to visitor in-and-out flow and occurrence of influencing events. This is further compounded by the lack of any content distribution (replication) scheme. The content delivery service will be improved if contents can be proactively distributed in strategic positions based on dynamic demand and supply and medium access contention. In this paper, we propose a dynamic content distribution scheme (DCDS) considering these practical issues for sharing contents in tourist attractions. Simulation results show that the proposed approach significantly improves (7
A facilitated diffusion model constrained by the probability isotherm : A pedagogical exercise in intuitive non-equilibrium thermodynamics
- Authors: Chapman, Brian
- Date: 2017
- Type: Text , Journal article
- Relation: Royal Society Open Science Vol. 4, no. 6 (2017), p. 1-22
- Full Text:
- Reviewed:
- Description: This paper seeks to develop a more thermodynamically sound pedagogy for students of biological transport than is currently available from either of the competing schools of linear non-equilibrium thermodynamics (LNET) or Michaelis–Menten kinetics (MMK). To this end, a minimal model of facilitated diffusion was constructed comprising four reversible steps: cis-substrate binding, cis→trans bound enzyme shuttling, trans-substrate dissociation and trans→cis free enzyme shuttling. All model parameters were subject to the second law constraint of the probability isotherm, which determined the unidirectional and net rates for each step and for the overall reaction through the law of mass action. Rapid equilibration scenarios require sensitive ‘tuning’ of the thermodynamic binding parameters to the equilibrium substrate concentration. All non-equilibrium scenarios show sigmoidal force–flux relations, with only a minority of cases having their quasi-linear portions close to equilibrium. Few cases fulfil the expectations of MMK relating reaction rates to enzyme saturation. This new approach illuminates and extends the concept of rate-limiting steps by focusing on the free energy dissipation associated with each reaction step and thereby deducing its respective relative chemical impedance. The crucial importance of an enzyme’s being thermodynamically ‘tuned’ to its particular task, dependent on the cis- and trans-substrate concentrations with which it deals, is consistent with the occurrence of numerous isoforms for enzymes that transport a given substrate in physiologically different circumstances. This approach to kinetic modelling, being aligned with neither MMK nor LNET, is best described as intuitive non-equilibrium thermodynamics, and is recommended as a useful adjunct to the design and interpretation of experiments in biotransport. © 2017 The Authors.
- Authors: Chapman, Brian
- Date: 2017
- Type: Text , Journal article
- Relation: Royal Society Open Science Vol. 4, no. 6 (2017), p. 1-22
- Full Text:
- Reviewed:
- Description: This paper seeks to develop a more thermodynamically sound pedagogy for students of biological transport than is currently available from either of the competing schools of linear non-equilibrium thermodynamics (LNET) or Michaelis–Menten kinetics (MMK). To this end, a minimal model of facilitated diffusion was constructed comprising four reversible steps: cis-substrate binding, cis→trans bound enzyme shuttling, trans-substrate dissociation and trans→cis free enzyme shuttling. All model parameters were subject to the second law constraint of the probability isotherm, which determined the unidirectional and net rates for each step and for the overall reaction through the law of mass action. Rapid equilibration scenarios require sensitive ‘tuning’ of the thermodynamic binding parameters to the equilibrium substrate concentration. All non-equilibrium scenarios show sigmoidal force–flux relations, with only a minority of cases having their quasi-linear portions close to equilibrium. Few cases fulfil the expectations of MMK relating reaction rates to enzyme saturation. This new approach illuminates and extends the concept of rate-limiting steps by focusing on the free energy dissipation associated with each reaction step and thereby deducing its respective relative chemical impedance. The crucial importance of an enzyme’s being thermodynamically ‘tuned’ to its particular task, dependent on the cis- and trans-substrate concentrations with which it deals, is consistent with the occurrence of numerous isoforms for enzymes that transport a given substrate in physiologically different circumstances. This approach to kinetic modelling, being aligned with neither MMK nor LNET, is best described as intuitive non-equilibrium thermodynamics, and is recommended as a useful adjunct to the design and interpretation of experiments in biotransport. © 2017 The Authors.
A Failure criterion for unsupported boreholes in poorly cemented sands
- Authors: Hashemi, Sam
- Date: 2016
- Type: Text , Journal article
- Relation: International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. Vol. 3, no. 11 (2016), p. 1707-1712
- Full Text:
- Reviewed:
- Description: The breakage of bonding between sand particles and their dislodgement from the borehole wall are the main factors resulting in a borehole failure in poorly cemented granular formations. The grain debonding usually precedes the borehole failure and it can be considered as sign that the onset of the borehole collapse ia imminent. Detecting the bonding breakage point and introducing an appropriate failure criterion will play an important role in borehole stability analysis. To study the influence of different factors on the initiation of sand bonding breakage at the borehole wall, a series of laboratory tests was designed and conducted on poorly cemented sand samples.
- Authors: Hashemi, Sam
- Date: 2016
- Type: Text , Journal article
- Relation: International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. Vol. 3, no. 11 (2016), p. 1707-1712
- Full Text:
- Reviewed:
- Description: The breakage of bonding between sand particles and their dislodgement from the borehole wall are the main factors resulting in a borehole failure in poorly cemented granular formations. The grain debonding usually precedes the borehole failure and it can be considered as sign that the onset of the borehole collapse ia imminent. Detecting the bonding breakage point and introducing an appropriate failure criterion will play an important role in borehole stability analysis. To study the influence of different factors on the initiation of sand bonding breakage at the borehole wall, a series of laboratory tests was designed and conducted on poorly cemented sand samples.
A fault-tolerant cascaded switched-capacitor multilevel inverter for domestic applications in smart grids
- Akbari, Ehsan, Teimouri, Ali, Saki, Mojtaba, Rezaei, Mohammad, Hu, Jiefeng, Band, Shahab, Pai, Hao-Ting, Mosavi, Amir
- Authors: Akbari, Ehsan , Teimouri, Ali , Saki, Mojtaba , Rezaei, Mohammad , Hu, Jiefeng , Band, Shahab , Pai, Hao-Ting , Mosavi, Amir
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Access Vol. 10, no. (2022), p. 110590-110602
- Full Text:
- Reviewed:
- Description: Cascaded multilevel inverters (MLIs) generate an output voltage using series-connected power modules that employ standard configurations of low-voltage components. Each module may employ one or more switched capacitors to double or quadruple its input voltage. The higher number of switched capacitors and semiconductor switches in MLIs compared to conventional two-level inverters has led to concerns about overall system reliability. A fault-tolerant design can mitigate this reliability issue. If one part of the system fails, the MLI can continue its planned operation at a reduced level rather than the entire system failing, which makes the fault tolerance of the MLI particularly important. In this paper, a novel fault location technique is presented that leads to a significant reduction in fault location detection time based on the reliability priority of the components of the proposed fault-tolerant switched capacitor cascaded MLI (CSCMLI). The main contribution of this paper is to reduce the number of MLI switches under fault conditions while operating at lower levels. The fault-tolerant inverter requires fewer switches at higher reliability, and the comparison with similar MLIs shows a faster dynamic response of fault detection and reduced fault location detection time. The experimental results confirm the effectiveness of the presented methods applied in the CSCMLI. Also, all experimental data including processor code, schematic, PCB, and video of CSCMLI operation are attached. © 2013 IEEE.
- Authors: Akbari, Ehsan , Teimouri, Ali , Saki, Mojtaba , Rezaei, Mohammad , Hu, Jiefeng , Band, Shahab , Pai, Hao-Ting , Mosavi, Amir
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Access Vol. 10, no. (2022), p. 110590-110602
- Full Text:
- Reviewed:
- Description: Cascaded multilevel inverters (MLIs) generate an output voltage using series-connected power modules that employ standard configurations of low-voltage components. Each module may employ one or more switched capacitors to double or quadruple its input voltage. The higher number of switched capacitors and semiconductor switches in MLIs compared to conventional two-level inverters has led to concerns about overall system reliability. A fault-tolerant design can mitigate this reliability issue. If one part of the system fails, the MLI can continue its planned operation at a reduced level rather than the entire system failing, which makes the fault tolerance of the MLI particularly important. In this paper, a novel fault location technique is presented that leads to a significant reduction in fault location detection time based on the reliability priority of the components of the proposed fault-tolerant switched capacitor cascaded MLI (CSCMLI). The main contribution of this paper is to reduce the number of MLI switches under fault conditions while operating at lower levels. The fault-tolerant inverter requires fewer switches at higher reliability, and the comparison with similar MLIs shows a faster dynamic response of fault detection and reduced fault location detection time. The experimental results confirm the effectiveness of the presented methods applied in the CSCMLI. Also, all experimental data including processor code, schematic, PCB, and video of CSCMLI operation are attached. © 2013 IEEE.
A feature agnostic approach for glaucoma detection in OCT volumes
- Maetschke, Stefan, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel, Garnavi, Rahil
- Authors: Maetschke, Stefan , Antony, Bhavna , Ishikawa, Hiroshi , Wollstein, Gadi , Schuman, Joel , Garnavi, Rahil
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS One Vol. 14, no. 7 (2019), p. e0219126
- Full Text:
- Reviewed:
- Description: Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have relied on segmentation-based imaging features such as the peripapillary RNFL thickness and the cup-to-disc ratio. Here, we propose a deep learning technique that classifies eyes as healthy or glaucomatous directly from raw, unsegmented OCT volumes of the optic nerve head (ONH) using a 3D Convolutional Neural Network (CNN). We compared the accuracy of this technique with various feature-based machine learning algorithms and demonstrated the superiority of the proposed deep learning based method. Logistic regression was found to be the best performing classical machine learning technique with an AUC of 0.89. In direct comparison, the deep learning approach achieved a substantially higher AUC of 0.94 with the additional advantage of providing insight into which regions of an OCT volume are important for glaucoma detection. Computing Class Activation Maps (CAM), we found that the CNN identified neuroretinal rim and optic disc cupping as well as the lamina cribrosa (LC) and its surrounding areas as the regions significantly associated with the glaucoma classification. These regions anatomically correspond to the well established and commonly used clinical markers for glaucoma diagnosis such as increased cup volume, cup diameter, and neuroretinal rim thinning at the superior and inferior segments.
- Authors: Maetschke, Stefan , Antony, Bhavna , Ishikawa, Hiroshi , Wollstein, Gadi , Schuman, Joel , Garnavi, Rahil
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS One Vol. 14, no. 7 (2019), p. e0219126
- Full Text:
- Reviewed:
- Description: Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have relied on segmentation-based imaging features such as the peripapillary RNFL thickness and the cup-to-disc ratio. Here, we propose a deep learning technique that classifies eyes as healthy or glaucomatous directly from raw, unsegmented OCT volumes of the optic nerve head (ONH) using a 3D Convolutional Neural Network (CNN). We compared the accuracy of this technique with various feature-based machine learning algorithms and demonstrated the superiority of the proposed deep learning based method. Logistic regression was found to be the best performing classical machine learning technique with an AUC of 0.89. In direct comparison, the deep learning approach achieved a substantially higher AUC of 0.94 with the additional advantage of providing insight into which regions of an OCT volume are important for glaucoma detection. Computing Class Activation Maps (CAM), we found that the CNN identified neuroretinal rim and optic disc cupping as well as the lamina cribrosa (LC) and its surrounding areas as the regions significantly associated with the glaucoma classification. These regions anatomically correspond to the well established and commonly used clinical markers for glaucoma diagnosis such as increased cup volume, cup diameter, and neuroretinal rim thinning at the superior and inferior segments.
A federated learning-based license plate recognition scheme for 5G-enabled Internet of vehicles
- Kong, Xiangjie, Wang, Kailai, Hou, Mingliang, Hao, Xinyu, Shen, Guojiang, Chen, Xin, Xia, Feng
- Authors: Kong, Xiangjie , Wang, Kailai , Hou, Mingliang , Hao, Xinyu , Shen, Guojiang , Chen, Xin , Xia, Feng
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Informatics Vol. 17, no. 12 (Dec 2021), p. 8523-8530
- Full Text:
- Reviewed:
- Description: License plate is an essential characteristic to identify vehicles for the traffic management, and thus, license plate recognition is important for Internet of Vehicles. Since 5G has been widely covered, mobile devices are utilized to assist the traffic management, which is a significant part of Industry 4.0. However, there have always been privacy risks due to centralized training of models. Also, the trained model cannot be directly deployed on the mobile device due to its large number of parameters. In this article, we propose a federated learning-based license plate recognition framework (FedLPR) to solve these problems. We design detection and recognition model to apply in the mobile device. In terms of user privacy, data in individuals is harnessed on their mobile devices instead of the server to train models based on federated learning. Extensive experiments demonstrate that FedLPR has high accuracy and acceptable communication cost while preserving user privacy.
- Authors: Kong, Xiangjie , Wang, Kailai , Hou, Mingliang , Hao, Xinyu , Shen, Guojiang , Chen, Xin , Xia, Feng
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Informatics Vol. 17, no. 12 (Dec 2021), p. 8523-8530
- Full Text:
- Reviewed:
- Description: License plate is an essential characteristic to identify vehicles for the traffic management, and thus, license plate recognition is important for Internet of Vehicles. Since 5G has been widely covered, mobile devices are utilized to assist the traffic management, which is a significant part of Industry 4.0. However, there have always been privacy risks due to centralized training of models. Also, the trained model cannot be directly deployed on the mobile device due to its large number of parameters. In this article, we propose a federated learning-based license plate recognition framework (FedLPR) to solve these problems. We design detection and recognition model to apply in the mobile device. In terms of user privacy, data in individuals is harnessed on their mobile devices instead of the server to train models based on federated learning. Extensive experiments demonstrate that FedLPR has high accuracy and acceptable communication cost while preserving user privacy.
A field investigation of the relationship between rotating shifts, sleep, mental health and physical activity of Australian paramedics
- Khan, Wahaj, Jackson, Melinda, Kennedy, Gerard, Conduit, Russell
- Authors: Khan, Wahaj , Jackson, Melinda , Kennedy, Gerard , Conduit, Russell
- Date: 2021
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 11, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue. Galvanic Skin Response, energy expenditure and physical activity (BodyMedia SenseWear Armband) were also recorded across the shift schedule. Paramedics were monitored for a period of eight consecutive days across pre-shift, day shift, night shift, and 2 days off. Fifteen paramedics (M age = 39.5 and SD = 10.7 years) who worked rotational shifts experienced sleep restriction during night shift compared to pre-shift, day shift and days off (p < 0.001). Night shift was also associated with higher levels of stress (p < 0.05), fatigue (p < 0.05), and sleepiness (p < 0.05). One day off was related to a return to pre-shift functioning. Such shift-related issues have a compounding negative impact on an already stressful occupation with high rates of physical and mental health issues. Therefore, there is an urgent need to investigate methods to reduce rotating shift burden on the health of paramedics. This could be through further research aimed at providing recommendations for shift work schedules with sufficient periods for sleep and recovery from stress. © 2021, The Author(s).
- Authors: Khan, Wahaj , Jackson, Melinda , Kennedy, Gerard , Conduit, Russell
- Date: 2021
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 11, no. 1 (2021), p.
- Full Text:
- Reviewed:
- Description: Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue. Galvanic Skin Response, energy expenditure and physical activity (BodyMedia SenseWear Armband) were also recorded across the shift schedule. Paramedics were monitored for a period of eight consecutive days across pre-shift, day shift, night shift, and 2 days off. Fifteen paramedics (M age = 39.5 and SD = 10.7 years) who worked rotational shifts experienced sleep restriction during night shift compared to pre-shift, day shift and days off (p < 0.001). Night shift was also associated with higher levels of stress (p < 0.05), fatigue (p < 0.05), and sleepiness (p < 0.05). One day off was related to a return to pre-shift functioning. Such shift-related issues have a compounding negative impact on an already stressful occupation with high rates of physical and mental health issues. Therefore, there is an urgent need to investigate methods to reduce rotating shift burden on the health of paramedics. This could be through further research aimed at providing recommendations for shift work schedules with sufficient periods for sleep and recovery from stress. © 2021, The Author(s).
A financial stress index to model and forecast financial stress in Australia
- Authors: Mukulu, Sandra
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The series of financial crises that cascaded through and rocked much of the world over the past decade created opportunities to draw meaning from the pattern of countries succumbing to crisis and those who appear to be wholly or partially immune. This thesis examines the case of Australia, a developed country that has seldom experienced an endogenous crisis in the last few decades, but has experienced crisis by contagion. This study designs a financial stress index to measure and forecast the health of the Australian economy and proposes a custom-made stress index to: Gauge the potential for a crisis; and Signal when a timely intervention may minimise fear and contagion losses in the Australian financial market. Financial and economic data is used to design indicators for stress in the banking sector and equity, currency and bond markets. Further, this study explores how movements in equity markets of key trading partners of Australia can be used to predict movements in the Australian equity market. The variance-equal weights (VEW) and principal components approach (PCA) are used to subsume 22 stress indicators into a composite stress index. The VEW and PCA stress indexes were examined to determine monitoring and their forecasting capabilities. It was found that the VEW stress index performed better than the PCA stress index, because it provided more consistent estimates for the level of Australian financial stress. Although, both models show some promise, each model fell short of giving adequate forecasts in financial stress especially at the peak time of the 2007-2009 GFC. Thus, more research is needed to understand the complex nature of financial crisis, how crises develop and the techniques that can be used to predict the onset of financial crises.
- Description: Doctor of Philosophy
- Authors: Mukulu, Sandra
- Date: 2017
- Type: Text , Thesis , PhD
- Full Text:
- Description: The series of financial crises that cascaded through and rocked much of the world over the past decade created opportunities to draw meaning from the pattern of countries succumbing to crisis and those who appear to be wholly or partially immune. This thesis examines the case of Australia, a developed country that has seldom experienced an endogenous crisis in the last few decades, but has experienced crisis by contagion. This study designs a financial stress index to measure and forecast the health of the Australian economy and proposes a custom-made stress index to: Gauge the potential for a crisis; and Signal when a timely intervention may minimise fear and contagion losses in the Australian financial market. Financial and economic data is used to design indicators for stress in the banking sector and equity, currency and bond markets. Further, this study explores how movements in equity markets of key trading partners of Australia can be used to predict movements in the Australian equity market. The variance-equal weights (VEW) and principal components approach (PCA) are used to subsume 22 stress indicators into a composite stress index. The VEW and PCA stress indexes were examined to determine monitoring and their forecasting capabilities. It was found that the VEW stress index performed better than the PCA stress index, because it provided more consistent estimates for the level of Australian financial stress. Although, both models show some promise, each model fell short of giving adequate forecasts in financial stress especially at the peak time of the 2007-2009 GFC. Thus, more research is needed to understand the complex nature of financial crisis, how crises develop and the techniques that can be used to predict the onset of financial crises.
- Description: Doctor of Philosophy
A fine romance? Developing a transformational school-university partnership
- Goriss-Hunter, Anitra, Sellings, Peter, Lenk, Karen, Scash, Melinda
- Authors: Goriss-Hunter, Anitra , Sellings, Peter , Lenk, Karen , Scash, Melinda
- Date: 2021
- Type: Text , Journal article
- Relation: Educational Practice and Theory Vol. 43, no. 1 (2021), p. 57-76
- Full Text:
- Reviewed:
- Description: This paper investigates the complexities involved in a school-university partnership between a secondary school, Highview College and Federation University, both located in Australia. The authors argue that Federation University and Highview College have worked together to develop a transformational partnership in a Community of Practice (CoP) that has benefits for both parties. The authors report the findings through the analogy of a relationship unfolding. Using a qualitative methodology, it was found that through the development of a transformational partnership, a number of benefits had even-tuated. These benefits include authentic learning experiences and the raising of university aspirations for school students. © 2021 James Nicholas Publishers.
- Authors: Goriss-Hunter, Anitra , Sellings, Peter , Lenk, Karen , Scash, Melinda
- Date: 2021
- Type: Text , Journal article
- Relation: Educational Practice and Theory Vol. 43, no. 1 (2021), p. 57-76
- Full Text:
- Reviewed:
- Description: This paper investigates the complexities involved in a school-university partnership between a secondary school, Highview College and Federation University, both located in Australia. The authors argue that Federation University and Highview College have worked together to develop a transformational partnership in a Community of Practice (CoP) that has benefits for both parties. The authors report the findings through the analogy of a relationship unfolding. Using a qualitative methodology, it was found that through the development of a transformational partnership, a number of benefits had even-tuated. These benefits include authentic learning experiences and the raising of university aspirations for school students. © 2021 James Nicholas Publishers.
A flourishing brain in the 21st century : a scoping review of the impact of developing good habits for mind, brain, well-being, and learning
- Ekman, Rolf, Fletcher, Anna, Giota, Joanna, Eriksson, Axel, Thomas, Bertil, Bååthe, Frederik
- Authors: Ekman, Rolf , Fletcher, Anna , Giota, Joanna , Eriksson, Axel , Thomas, Bertil , Bååthe, Frederik
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Mind, Brain, and Education Vol. 16, no. 1 (2022), p. 13-23
- Full Text:
- Reviewed:
- Description: Emerging scientific knowledge such as the role of epigenetics and neuroplasticity—the brain's capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, influenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student's brain is a work in progress, and it is never too late to take better care of one's cognitive fitness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain's resilience to brain health-degrading challenges. We argue that schools have a crucial role to play in empowering students to increase their own stress resilience, well-being, and learning by developing their own GHs profile. © 2021 The Authors. Mind, Brain, and Education published by International Mind, Brain, and Education Society and Wiley Periodicals LLC.
- Authors: Ekman, Rolf , Fletcher, Anna , Giota, Joanna , Eriksson, Axel , Thomas, Bertil , Bååthe, Frederik
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Mind, Brain, and Education Vol. 16, no. 1 (2022), p. 13-23
- Full Text:
- Reviewed:
- Description: Emerging scientific knowledge such as the role of epigenetics and neuroplasticity—the brain's capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, influenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student's brain is a work in progress, and it is never too late to take better care of one's cognitive fitness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain's resilience to brain health-degrading challenges. We argue that schools have a crucial role to play in empowering students to increase their own stress resilience, well-being, and learning by developing their own GHs profile. © 2021 The Authors. Mind, Brain, and Education published by International Mind, Brain, and Education Society and Wiley Periodicals LLC.
A formal description of ontology change in OWL
- Authors: Avery, John , Yearwood, John
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at the Third International Conference on Information Technology and Applications, ICITA 2005, Sydney : 4th - 7th July, 2005
- Full Text:
- Reviewed:
- Description: There are three main activities involved in managing ontology change. Firstly we need to identify changes, secondly describe these identified changes, and finally describe and handle the ramifications of the changes. In previous work we have presented a language (DOWL) for describing ontology change and in this paper we demonstrate how changes described in this language can be represented in the RDF abstract syntax which enables us to describe the ramifications of a change in a formal manner. This formalism can provide the basis for an automated ontology change management system.
- Description: E1
- Description: 2003001448
- Authors: Avery, John , Yearwood, John
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at the Third International Conference on Information Technology and Applications, ICITA 2005, Sydney : 4th - 7th July, 2005
- Full Text:
- Reviewed:
- Description: There are three main activities involved in managing ontology change. Firstly we need to identify changes, secondly describe these identified changes, and finally describe and handle the ramifications of the changes. In previous work we have presented a language (DOWL) for describing ontology change and in this paper we demonstrate how changes described in this language can be represented in the RDF abstract syntax which enables us to describe the ramifications of a change in a formal manner. This formalism can provide the basis for an automated ontology change management system.
- Description: E1
- Description: 2003001448