A cognitive diagnostic system for explaining algebra errors
- Authors: Mays, Heather
- Date: 2002
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This thesis presents a new approach to cognitive diagnosis within the domain of algebra that has greater power than existing techniques."
- Description: Doctor of Philosophy
- Authors: Mays, Heather
- Date: 2002
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This thesis presents a new approach to cognitive diagnosis within the domain of algebra that has greater power than existing techniques."
- Description: Doctor of Philosophy
A collaborative exploration of creativity, doodling and flow : A practice-based education inquiry
- Authors: Barrand, Katherine
- Date: 2015
- Type: Text , Thesis , PhD
- Full Text:
- Description: The initial stage of this inquiry is a solo exploration of my definition of doodling, how doodling became my preferred artistic process, and reflectively examines the factors that contribute to my experience of flow moments when creating art. An intrinsic component of this solo research was finding new ways to create moments of flow when working individually, and reflecting how they could influence and shape the second stage of the project. The second stage of this inquiry investigates doodling in collaboration with four participating artists. In an attempt to flesh out the spaces between conscious and unconscious artistic interventions, and the role that outside influences can play on the creative process, this collaborative inquiry developed into an examination of the factors which influence co-creation during different stages of art making. The framework for this second inquiry was created by utilising insights gained from the initial solo investigation Accordingly, this research includes multiple strands of artistic exploration, including solo works, works created in collaboration, and interviews with the collaborating artists involved in the project. Selected key solo works and all artistic collaborations are included in the body of this exegesis to encourage immersion in this practice based research. Beginning as an artist and incorporating the different roles of researcher and teacher into the work, this research is an a/r/tographical inquiry into the way these oftentimes overlapping identities influence and guided the research. The outcomes from this research include insights into my creative processes, revealing previously unacknowledged tensions between the need for creative control and flow. One of the most important outcomes from this research was the development of non-verbal conversations between artists, and the way the collaborative process has the potential to both encourage and hinder flow moments. This work is a self-study which incorporates others in relation to my own work. I believe it holds significant relevance to a wider artistic audience seeking a different perspective on encouraging collaborative artistic flow, and the method of collaborative doodling enacted in this research has potential applications in both formal and informal educational settings.
- Description: Doctor of Philosophy
- Authors: Barrand, Katherine
- Date: 2015
- Type: Text , Thesis , PhD
- Full Text:
- Description: The initial stage of this inquiry is a solo exploration of my definition of doodling, how doodling became my preferred artistic process, and reflectively examines the factors that contribute to my experience of flow moments when creating art. An intrinsic component of this solo research was finding new ways to create moments of flow when working individually, and reflecting how they could influence and shape the second stage of the project. The second stage of this inquiry investigates doodling in collaboration with four participating artists. In an attempt to flesh out the spaces between conscious and unconscious artistic interventions, and the role that outside influences can play on the creative process, this collaborative inquiry developed into an examination of the factors which influence co-creation during different stages of art making. The framework for this second inquiry was created by utilising insights gained from the initial solo investigation Accordingly, this research includes multiple strands of artistic exploration, including solo works, works created in collaboration, and interviews with the collaborating artists involved in the project. Selected key solo works and all artistic collaborations are included in the body of this exegesis to encourage immersion in this practice based research. Beginning as an artist and incorporating the different roles of researcher and teacher into the work, this research is an a/r/tographical inquiry into the way these oftentimes overlapping identities influence and guided the research. The outcomes from this research include insights into my creative processes, revealing previously unacknowledged tensions between the need for creative control and flow. One of the most important outcomes from this research was the development of non-verbal conversations between artists, and the way the collaborative process has the potential to both encourage and hinder flow moments. This work is a self-study which incorporates others in relation to my own work. I believe it holds significant relevance to a wider artistic audience seeking a different perspective on encouraging collaborative artistic flow, and the method of collaborative doodling enacted in this research has potential applications in both formal and informal educational settings.
- Description: Doctor of Philosophy
A combination of expert-based system and advanced decision-tree algorithms to predict air-overpressure resulting from quarry blasting
- He, Ziguang, Armaghani, Danial, Masoumnezhad, Mojtaba, Khandelwal, Manoj, Zhou, Jian, Murlidhar, Bhatawdekar
- Authors: He, Ziguang , Armaghani, Danial , Masoumnezhad, Mojtaba , Khandelwal, Manoj , Zhou, Jian , Murlidhar, Bhatawdekar
- Date: 2021
- Type: Text , Journal article
- Relation: Natural Resources Research Vol. 30, no. 2 (2021), p. 1889-1903
- Full Text:
- Reviewed:
- Description: This study combined a fuzzy Delphi method (FDM) and two advanced decision-tree algorithms to predict air-overpressure (AOp) caused by mine blasting. The FDM was used for input selection. Thus, the panel of experts selected four inputs, including powder factor, max charge per delay, stemming length, and distance from the blast face. Once the input selection was completed, two decision-tree algorithms, namely extreme gradient boosting tree (XGBoost-tree) and random forest (RF), were applied using the inputs selected by the experts. The models are evaluated with the following criteria: correlation coefficient, mean absolute error, gains chart, and Taylor diagram. The applied models were compared with the XGBoost-tree and RF models using the full set of data without input selection results. The results of hybridization showed that the XGBoost-tree model outperformed the RF model. Concerning the gains, the XGBoost-tree again outperformed the RF model. In comparison with the single decision-tree models, the single models had slightly better correlation coefficients; however, the hybridized models were simpler and easier to understand, analyze and implement. In addition, the Taylor diagram showed that the models applied outperformed some other conventional machine learning models, including support vector machine, k-nearest neighbors, and artificial neural network. Overall, the findings of this study suggest that combining expert opinion and advanced decision-tree algorithms can result in accurate and easy to understand predictions of AOp resulting from blasting in quarry sites. © 2020, International Association for Mathematical Geosciences.
- Authors: He, Ziguang , Armaghani, Danial , Masoumnezhad, Mojtaba , Khandelwal, Manoj , Zhou, Jian , Murlidhar, Bhatawdekar
- Date: 2021
- Type: Text , Journal article
- Relation: Natural Resources Research Vol. 30, no. 2 (2021), p. 1889-1903
- Full Text:
- Reviewed:
- Description: This study combined a fuzzy Delphi method (FDM) and two advanced decision-tree algorithms to predict air-overpressure (AOp) caused by mine blasting. The FDM was used for input selection. Thus, the panel of experts selected four inputs, including powder factor, max charge per delay, stemming length, and distance from the blast face. Once the input selection was completed, two decision-tree algorithms, namely extreme gradient boosting tree (XGBoost-tree) and random forest (RF), were applied using the inputs selected by the experts. The models are evaluated with the following criteria: correlation coefficient, mean absolute error, gains chart, and Taylor diagram. The applied models were compared with the XGBoost-tree and RF models using the full set of data without input selection results. The results of hybridization showed that the XGBoost-tree model outperformed the RF model. Concerning the gains, the XGBoost-tree again outperformed the RF model. In comparison with the single decision-tree models, the single models had slightly better correlation coefficients; however, the hybridized models were simpler and easier to understand, analyze and implement. In addition, the Taylor diagram showed that the models applied outperformed some other conventional machine learning models, including support vector machine, k-nearest neighbors, and artificial neural network. Overall, the findings of this study suggest that combining expert opinion and advanced decision-tree algorithms can result in accurate and easy to understand predictions of AOp resulting from blasting in quarry sites. © 2020, International Association for Mathematical Geosciences.
A community-wide approach to reducing risky drinking cultures in young people in rural Australia
- Murphy, Angela, Ollerenshaw, Alison
- Authors: Murphy, Angela , Ollerenshaw, Alison
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Rural Health Vol. 31, no. 2 (2023), p. 204-217
- Full Text:
- Reviewed:
- Description: Objective: This study evaluated the impact of a multi-faceted, harm minimisation program addressing youth alcohol change and risky drinking behaviours in rural Australia. The role and influence of a multi-tiered community approach to changing alcohol cultures is examined. Setting: An alcohol culture change project for young people (12–18 years) was implemented in rural Victoria. It was informed by the Alcohol Cultures Framework, comprising community-wide events and youth-focused activities, co-designed with young people. The approach aimed at maximising engagement and reducing alcohol-related harm by targeting the shared activities and drinking practices of young people, parents and the community. Participants: Participants (n = 446) provided feedback specific to three key program activities for promoting alcohol change. Design: Mixed methods: Feedback sheets were collected, and interviews and focus groups were conducted with program participants. Results: Participants indicated that the program had informed their understanding of the way people in their region drink, and the social norms and practices around alcohol that encourage risky drinking. It influenced their short- and medium-term reactions, learnings and activities relating to alcohol consumption. The impact of the program was greatest in adults than young people although reflective learning and some behaviour change were evident across all age groups and community clusters. Conclusion: Community-wide health promotion events offer participants a deeper understanding of the ways in which dominant alcohol cultures inform the practices and activities of young people within a broader community context. Ensuring health promotion programs within a whole-of-community approach are established longer term, is recommended. © 2022 The Authors. Australian Journal of Rural Health published by John Wiley & Sons Australia, Ltd on behalf of National Rural Health Alliance Ltd.
- Authors: Murphy, Angela , Ollerenshaw, Alison
- Date: 2023
- Type: Text , Journal article
- Relation: Australian Journal of Rural Health Vol. 31, no. 2 (2023), p. 204-217
- Full Text:
- Reviewed:
- Description: Objective: This study evaluated the impact of a multi-faceted, harm minimisation program addressing youth alcohol change and risky drinking behaviours in rural Australia. The role and influence of a multi-tiered community approach to changing alcohol cultures is examined. Setting: An alcohol culture change project for young people (12–18 years) was implemented in rural Victoria. It was informed by the Alcohol Cultures Framework, comprising community-wide events and youth-focused activities, co-designed with young people. The approach aimed at maximising engagement and reducing alcohol-related harm by targeting the shared activities and drinking practices of young people, parents and the community. Participants: Participants (n = 446) provided feedback specific to three key program activities for promoting alcohol change. Design: Mixed methods: Feedback sheets were collected, and interviews and focus groups were conducted with program participants. Results: Participants indicated that the program had informed their understanding of the way people in their region drink, and the social norms and practices around alcohol that encourage risky drinking. It influenced their short- and medium-term reactions, learnings and activities relating to alcohol consumption. The impact of the program was greatest in adults than young people although reflective learning and some behaviour change were evident across all age groups and community clusters. Conclusion: Community-wide health promotion events offer participants a deeper understanding of the ways in which dominant alcohol cultures inform the practices and activities of young people within a broader community context. Ensuring health promotion programs within a whole-of-community approach are established longer term, is recommended. © 2022 The Authors. Australian Journal of Rural Health published by John Wiley & Sons Australia, Ltd on behalf of National Rural Health Alliance Ltd.
A comparative analysis of domestic violence against women in Australia and Bangladesh : government policies, legislation and organisational responses
- Authors: Rahman, Nasrin
- Date: 2018
- Type: Text , Thesis , PhD
- Full Text:
- Description: This is a comparative study of Domestic Violence (DV) between Australia (Victoria) and Bangladesh. It examined the interrelationship between factors which contribute to DV, government policies and legislation developed to deal with DV, and organisational responders (police and DV Crisis Support Services) implementing strategies and remedies in the policies and legislation. A comparative country case study strategy was adopted utilising triangulation of methods of data collection including an analysis of the countries’ respective policies and legislation and conducting in-depth interviews with key responder personnel. The conceptual framework identified policies and legislation as Steering Media, which influenced a society’s beliefs embedded in the Lifeworld, and which guided the actions of responders to DV in the two different countries’ Systems. Differences and similarities were found between the two countries. The main common factor was the identification of gender inequality as an underlying factor causing DV. Some social and cultural factors exist in both countries such as poverty. Some factors were specific to Australia, such as the consumption of alcohol; and in Bangladesh, such as dowry and dependency on men. Of significance is that gender equality is enshrined in the Bangladeshi Constitution, while Australia relies on legislation that could potentially be changed to disadvantage women. Differences revealed include identification of victims and perpetrators, with Bangladesh specifically naming women and children as victims but never the perpetrator and Australia (Victoria) naming any family member as victim or perpetrator. Also, responders deal with DV victims and perpetrators differently according to the policies and legislation of both countries. This research has implications for both theory and practice in both countries. The findings have potential to contribute to changes in policy and legislation related to DV as well as in the practice level by responders across both countries, learning from each other in the process.
- Description: Doctor of Philosophy
- Authors: Rahman, Nasrin
- Date: 2018
- Type: Text , Thesis , PhD
- Full Text:
- Description: This is a comparative study of Domestic Violence (DV) between Australia (Victoria) and Bangladesh. It examined the interrelationship between factors which contribute to DV, government policies and legislation developed to deal with DV, and organisational responders (police and DV Crisis Support Services) implementing strategies and remedies in the policies and legislation. A comparative country case study strategy was adopted utilising triangulation of methods of data collection including an analysis of the countries’ respective policies and legislation and conducting in-depth interviews with key responder personnel. The conceptual framework identified policies and legislation as Steering Media, which influenced a society’s beliefs embedded in the Lifeworld, and which guided the actions of responders to DV in the two different countries’ Systems. Differences and similarities were found between the two countries. The main common factor was the identification of gender inequality as an underlying factor causing DV. Some social and cultural factors exist in both countries such as poverty. Some factors were specific to Australia, such as the consumption of alcohol; and in Bangladesh, such as dowry and dependency on men. Of significance is that gender equality is enshrined in the Bangladeshi Constitution, while Australia relies on legislation that could potentially be changed to disadvantage women. Differences revealed include identification of victims and perpetrators, with Bangladesh specifically naming women and children as victims but never the perpetrator and Australia (Victoria) naming any family member as victim or perpetrator. Also, responders deal with DV victims and perpetrators differently according to the policies and legislation of both countries. This research has implications for both theory and practice in both countries. The findings have potential to contribute to changes in policy and legislation related to DV as well as in the practice level by responders across both countries, learning from each other in the process.
- Description: Doctor of Philosophy
A comparative analysis of the motivational factors of Chinese and non-Chinese tourists visiting Melbourne
- Authors: Soldatenko, Daria
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: This study is devoted to a comparison of motivational factors of travellers from China and non-Chinese countries visiting the same destination (Melbourne). Given the importance of the Chinese market to Australia, it seems important to explore this market in terms of motivational factors and understand its specifics and peculiarities. In addition, the topicality of such research was revealed through a content analysis of cross-cultural push/pull motivational studies in tourism relating to nationalities. Leiper’s model of tourist’s pre-trip psychological process (2004) was adapted and modified in terms of push and pull factors that combine not only needs and destination attributes, but also include a number of additional factors, such as information about recreation possibilities of visiting places, expectation about potential experiences during the trip, as well as means, namely money, time and absence of other constraints. The model enables an understanding of the linkages and relationships between the various motivational variables and their influence on destination choice. This study employs quantitative methods to examine and compare the motivational factors of two studied samples. Data were collected through an online survey, which was provided in two languages (English and Chinese). The data analysis was undertaken in Statistical Package for the Social Sciences (SPSS) - 26.0 software by the means of various descriptive and inferential statistical techniques, such as Principal Component Analysis (PCA), Independent T-tests, Multiple regression analysis, and Canonical correlation analysis. In addition, the relationships between motivational variables in a proposed model were examined by using Partial Least Squares Structural Equation Modelling (PLS-SEM). The present study revealed a number of differences in trip characteristics and tourist motivational factors between the Chinese and non-Chinese samples. The differences identified between the two target markets are closely related to traits of individualist and collectivist cultures. This conclusion verifies the findings of previous tourism research that culture influences travel behaviour. The knowledge of cultural differences in motivation is very important for enhancing the efficiency and effectiveness of international tourism marketing. In addition, customising the services, products, and marketing programs for specific markets results in a high level of tourist satisfaction, and that in turn, leads to an increase in financial benefits associated with customer satisfaction and loyalty. This research has both theoretical and practical scientific significance. One significant contribution of this research is the development of a model of interrelated motivational factors in the travel decision-making process that enables the identification of the most influential motivational factors in travel decisions. The relationships between the push and pull factors, such as motivations, destination attributes, information sources, expectations and constraints, and their influence on destination choice, were examined. In the present study, a close positive relationship between personal motivations and destination attributes, as well as a significant influence of information sources on expectations and destination choice were found. Such results highlight the importance of properly developed advertising and promotion strategies with special attention to their contents, emphasising particular push and pull factors for particular tourist markets or segments. In addition, the current study identified possible product bundles of tourists’ motivations and destination attributes and segmentation of visitors to Melbourne that might present valuable information for destination practitioners and marketers, as successful matching of push and pull factors is a prerequisite for effective and successful actions on attraction and retention of visitors. Identified similarities and differences between Chinese and non-Chinese samples in terms of their demographic profiles, trip characteristics, motivations for travelling, preferences of destination attributes, information source usage, trip expectations, constraints for travelling, and their evaluation of destination choice criteria provided useful information for developing specifically customised tourist products and services, as well as promotion programs, that are tailored to each market. Moreover, from theoretical perspective, the present study adds new depth to understanding the nature of motivational factors, affecting the travel decision-making process, and causal relationships among them. Thus, the study contributes to advancing both tourist behaviour research as well as tourism decision-making literature. In addition, this research identifies and addresses the gap in empirical research investigating tourists' behaviour patterns across economically and culturally different countries. As comparative motivational research of tourists from China and non-Chinese countries travelling to Australia had yet to be undertaken, this study might be considered important because it provides valuable information for targeting the main source countries for Australia. Such research may be especially valuable in post-COVID times when international borders open up and carefully planned marketing will be needed.
- Description: Doctor of Philosophy
- Authors: Soldatenko, Daria
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: This study is devoted to a comparison of motivational factors of travellers from China and non-Chinese countries visiting the same destination (Melbourne). Given the importance of the Chinese market to Australia, it seems important to explore this market in terms of motivational factors and understand its specifics and peculiarities. In addition, the topicality of such research was revealed through a content analysis of cross-cultural push/pull motivational studies in tourism relating to nationalities. Leiper’s model of tourist’s pre-trip psychological process (2004) was adapted and modified in terms of push and pull factors that combine not only needs and destination attributes, but also include a number of additional factors, such as information about recreation possibilities of visiting places, expectation about potential experiences during the trip, as well as means, namely money, time and absence of other constraints. The model enables an understanding of the linkages and relationships between the various motivational variables and their influence on destination choice. This study employs quantitative methods to examine and compare the motivational factors of two studied samples. Data were collected through an online survey, which was provided in two languages (English and Chinese). The data analysis was undertaken in Statistical Package for the Social Sciences (SPSS) - 26.0 software by the means of various descriptive and inferential statistical techniques, such as Principal Component Analysis (PCA), Independent T-tests, Multiple regression analysis, and Canonical correlation analysis. In addition, the relationships between motivational variables in a proposed model were examined by using Partial Least Squares Structural Equation Modelling (PLS-SEM). The present study revealed a number of differences in trip characteristics and tourist motivational factors between the Chinese and non-Chinese samples. The differences identified between the two target markets are closely related to traits of individualist and collectivist cultures. This conclusion verifies the findings of previous tourism research that culture influences travel behaviour. The knowledge of cultural differences in motivation is very important for enhancing the efficiency and effectiveness of international tourism marketing. In addition, customising the services, products, and marketing programs for specific markets results in a high level of tourist satisfaction, and that in turn, leads to an increase in financial benefits associated with customer satisfaction and loyalty. This research has both theoretical and practical scientific significance. One significant contribution of this research is the development of a model of interrelated motivational factors in the travel decision-making process that enables the identification of the most influential motivational factors in travel decisions. The relationships between the push and pull factors, such as motivations, destination attributes, information sources, expectations and constraints, and their influence on destination choice, were examined. In the present study, a close positive relationship between personal motivations and destination attributes, as well as a significant influence of information sources on expectations and destination choice were found. Such results highlight the importance of properly developed advertising and promotion strategies with special attention to their contents, emphasising particular push and pull factors for particular tourist markets or segments. In addition, the current study identified possible product bundles of tourists’ motivations and destination attributes and segmentation of visitors to Melbourne that might present valuable information for destination practitioners and marketers, as successful matching of push and pull factors is a prerequisite for effective and successful actions on attraction and retention of visitors. Identified similarities and differences between Chinese and non-Chinese samples in terms of their demographic profiles, trip characteristics, motivations for travelling, preferences of destination attributes, information source usage, trip expectations, constraints for travelling, and their evaluation of destination choice criteria provided useful information for developing specifically customised tourist products and services, as well as promotion programs, that are tailored to each market. Moreover, from theoretical perspective, the present study adds new depth to understanding the nature of motivational factors, affecting the travel decision-making process, and causal relationships among them. Thus, the study contributes to advancing both tourist behaviour research as well as tourism decision-making literature. In addition, this research identifies and addresses the gap in empirical research investigating tourists' behaviour patterns across economically and culturally different countries. As comparative motivational research of tourists from China and non-Chinese countries travelling to Australia had yet to be undertaken, this study might be considered important because it provides valuable information for targeting the main source countries for Australia. Such research may be especially valuable in post-COVID times when international borders open up and carefully planned marketing will be needed.
- Description: Doctor of Philosophy
A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
- Sayadi, Ahmad, Monjezi, Masoud, Talebi, Nemat, Khandelwal, Manoj
- Authors: Sayadi, Ahmad , Monjezi, Masoud , Talebi, Nemat , Khandelwal, Manoj
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Rock Mechanics and Geotechnical Engineering Vol. 5, no. 4 (2013), p. 318-324
- Full Text:
- Reviewed:
- Description: In blasting operation, the aim is to achieve proper fragmentation and to avoid undesirable events such as backbreak. Therefore, predicting rock fragmentation and backbreak is very important to arrive at a technically and economically successful outcome. Since many parameters affect the blasting results in a complicated mechanism, employment of robust methods such as artificial neural network may be very useful. In this regard, this paper attends to simultaneous prediction of rock fragmentation and backbreak in the blasting operation of Tehran Cement Company limestone mines in Iran. Back propagation neural network (BPNN) and radial basis function neural network (RBFNN) are adopted for the simulation. Also, regression analysis is performed between independent and dependent variables. For the BPNN modeling, a network with architecture 6-10-2 is found to be optimum whereas for the RBFNN, architecture 6-36-2 with spread factor of 0.79 provides maximum prediction aptitude. Performance comparison of the developed models is fulfilled using value account for (VAF), root mean square error (RMSE), determination coefficient (R2) and maximum relative error (MRE). As such, it is observed that the BPNN model is the most preferable model providing maximum accuracy and minimum error. Also, sensitivity analysis shows that inputs burden and stemming are the most effective parameters on the outputs fragmentation and backbreak, respectively. On the other hand, for both of the outputs, specific charge is the least effective parameter. © 2013 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences.
- Authors: Sayadi, Ahmad , Monjezi, Masoud , Talebi, Nemat , Khandelwal, Manoj
- Date: 2013
- Type: Text , Journal article
- Relation: Journal of Rock Mechanics and Geotechnical Engineering Vol. 5, no. 4 (2013), p. 318-324
- Full Text:
- Reviewed:
- Description: In blasting operation, the aim is to achieve proper fragmentation and to avoid undesirable events such as backbreak. Therefore, predicting rock fragmentation and backbreak is very important to arrive at a technically and economically successful outcome. Since many parameters affect the blasting results in a complicated mechanism, employment of robust methods such as artificial neural network may be very useful. In this regard, this paper attends to simultaneous prediction of rock fragmentation and backbreak in the blasting operation of Tehran Cement Company limestone mines in Iran. Back propagation neural network (BPNN) and radial basis function neural network (RBFNN) are adopted for the simulation. Also, regression analysis is performed between independent and dependent variables. For the BPNN modeling, a network with architecture 6-10-2 is found to be optimum whereas for the RBFNN, architecture 6-36-2 with spread factor of 0.79 provides maximum prediction aptitude. Performance comparison of the developed models is fulfilled using value account for (VAF), root mean square error (RMSE), determination coefficient (R2) and maximum relative error (MRE). As such, it is observed that the BPNN model is the most preferable model providing maximum accuracy and minimum error. Also, sensitivity analysis shows that inputs burden and stemming are the most effective parameters on the outputs fragmentation and backbreak, respectively. On the other hand, for both of the outputs, specific charge is the least effective parameter. © 2013 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences.
A comparative study on the role of polyvinylpyrrolidone molecular weight on the functionalization of various carbon nanotubes and their composites
- Namasivayam, Muthuraman, Andersson, Mats, Shapter, Joseph
- Authors: Namasivayam, Muthuraman , Andersson, Mats , Shapter, Joseph
- Date: 2021
- Type: Text , Journal article
- Relation: Polymers Vol. 13, no. 15 (2021), p.
- Full Text:
- Reviewed:
- Description: Polyvinylidene fluoride (PVDF) nanocomposites filled with polyvinylpyrrolidone (PVP) wrapped carbon nanotubes were prepared via a solution casting technique. The effect of the molecular weight (polymer chain length) of the PVP on the ability to wrap different nanotube structures and its impact towards nanotube dispersibility in the polymer matrix was explored. The study was conducted with PVP of four different molecular weights and nanotubes of three different structures. The composites that exhibit an effective nanotube dispersion lead to a nanotube network that facilitates improved thermal, electrical, and mechanical properties. It was observed that nanotubes of different structures exhibit stable dispersions in the polymer matrix though PVP functionalization of different molecular weights, but the key is achieving an effective nanotube dispersion at low PVP concentrations. This is observed in MWNT and AP-SWNT based composites with PVP of low molecular weight, leading to a thermal conductivity enhancement of 147% and 53%, respectively, while for P3-SWNT based composites, PVP of high molecular weight yields an enhancement of 25% in thermal conductivity compared to the non-functionalized CNT-PVDF composite. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Namasivayam, Muthuraman , Andersson, Mats , Shapter, Joseph
- Date: 2021
- Type: Text , Journal article
- Relation: Polymers Vol. 13, no. 15 (2021), p.
- Full Text:
- Reviewed:
- Description: Polyvinylidene fluoride (PVDF) nanocomposites filled with polyvinylpyrrolidone (PVP) wrapped carbon nanotubes were prepared via a solution casting technique. The effect of the molecular weight (polymer chain length) of the PVP on the ability to wrap different nanotube structures and its impact towards nanotube dispersibility in the polymer matrix was explored. The study was conducted with PVP of four different molecular weights and nanotubes of three different structures. The composites that exhibit an effective nanotube dispersion lead to a nanotube network that facilitates improved thermal, electrical, and mechanical properties. It was observed that nanotubes of different structures exhibit stable dispersions in the polymer matrix though PVP functionalization of different molecular weights, but the key is achieving an effective nanotube dispersion at low PVP concentrations. This is observed in MWNT and AP-SWNT based composites with PVP of low molecular weight, leading to a thermal conductivity enhancement of 147% and 53%, respectively, while for P3-SWNT based composites, PVP of high molecular weight yields an enhancement of 25% in thermal conductivity compared to the non-functionalized CNT-PVDF composite. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
A Comparison of academic staff management practices in Chinese and Australian Universities
- Jiang, Xiaoli, Xu, Xinhui, Ma, Xiaoping, Prosser, Laurie
- Authors: Jiang, Xiaoli , Xu, Xinhui , Ma, Xiaoping , Prosser, Laurie
- Date: 2007
- Type: Text , Journal article
- Relation: The international journal of knowledge, culture & change management Vol. 7, no. 2 (2007), p. 39-47
- Full Text:
- Reviewed:
- Description: This study investigated five Chinese higher education institutions in relation to management of academic staff. The study compared these practices with those used in three Australian universities. The results demonstrated that the Chinese universities provide more freedom to academic staff in terms of how staff spend their time at the university. However, there are more strict measures to control teaching staff’s punctuality in attending their classes and to have detailed planning and teaching documentation. There are also additional teaching evaluations at both school and university levels, together with student evaluation. Chinese higher education staff management places greater emphasis on extrinsic financial rewards to improve staff performance than do their Australian counterparts. The income of Chinese academic staff is performance based and closely connected to their teaching, supervision, research and management workload. This approach initially came from the West and is now adopted by Chinese higher education management, reflecting Chinese socialist principles regarding income distribution. This measure of distribution is a very important motivational factor designed to enhance staff performance. This study provides an understanding as to the reasons why differences exist in management practices in China and Australia and offers some explanations from historical, political and social culture perspectives. This research identifies both positive and negative aspects of the two systems and suggests that learning good management practices from each other may bring positive changes to the productivity of higher education in both countries.
- Description: C1
- Description: 2003005411
- Authors: Jiang, Xiaoli , Xu, Xinhui , Ma, Xiaoping , Prosser, Laurie
- Date: 2007
- Type: Text , Journal article
- Relation: The international journal of knowledge, culture & change management Vol. 7, no. 2 (2007), p. 39-47
- Full Text:
- Reviewed:
- Description: This study investigated five Chinese higher education institutions in relation to management of academic staff. The study compared these practices with those used in three Australian universities. The results demonstrated that the Chinese universities provide more freedom to academic staff in terms of how staff spend their time at the university. However, there are more strict measures to control teaching staff’s punctuality in attending their classes and to have detailed planning and teaching documentation. There are also additional teaching evaluations at both school and university levels, together with student evaluation. Chinese higher education staff management places greater emphasis on extrinsic financial rewards to improve staff performance than do their Australian counterparts. The income of Chinese academic staff is performance based and closely connected to their teaching, supervision, research and management workload. This approach initially came from the West and is now adopted by Chinese higher education management, reflecting Chinese socialist principles regarding income distribution. This measure of distribution is a very important motivational factor designed to enhance staff performance. This study provides an understanding as to the reasons why differences exist in management practices in China and Australia and offers some explanations from historical, political and social culture perspectives. This research identifies both positive and negative aspects of the two systems and suggests that learning good management practices from each other may bring positive changes to the productivity of higher education in both countries.
- Description: C1
- Description: 2003005411
A comparison of bidding strategies for online auctions using fuzzy reasoning and negotiation decision functions
- Kaur, Preetinder, Goyal, Madhu, Lu, Jie
- Authors: Kaur, Preetinder , Goyal, Madhu , Lu, Jie
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Transactions on Fuzzy Systems Vol. 25, no. 2 (2017), p. 425-438
- Full Text:
- Reviewed:
- Description: Bidders often feel challenged when looking for the best bidding strategies to excel in the competitive environment of multiple and simultaneous online auctions for same or similar items. Bidders face complicated issues for deciding which auction to participate in, whether to bid early or late, and how much to bid. In this paper, we present the design of bidding strategies, which aim to forecast the bid amounts for buyers at a particular moment in time based on their bidding behavior and their valuation of an auctioned item. The agent develops a comprehensive methodology for final price estimation, which designs bidding strategies to address buyers' different bidding behaviors using two approaches: Mamdani method with regression analysis and negotiation decision functions. The experimental results show that the agents who follow fuzzy reasoning with a regression approach outperform other existing agents in most settings in terms of their success rate and expected utility.
- Authors: Kaur, Preetinder , Goyal, Madhu , Lu, Jie
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Transactions on Fuzzy Systems Vol. 25, no. 2 (2017), p. 425-438
- Full Text:
- Reviewed:
- Description: Bidders often feel challenged when looking for the best bidding strategies to excel in the competitive environment of multiple and simultaneous online auctions for same or similar items. Bidders face complicated issues for deciding which auction to participate in, whether to bid early or late, and how much to bid. In this paper, we present the design of bidding strategies, which aim to forecast the bid amounts for buyers at a particular moment in time based on their bidding behavior and their valuation of an auctioned item. The agent develops a comprehensive methodology for final price estimation, which designs bidding strategies to address buyers' different bidding behaviors using two approaches: Mamdani method with regression analysis and negotiation decision functions. The experimental results show that the agents who follow fuzzy reasoning with a regression approach outperform other existing agents in most settings in terms of their success rate and expected utility.
A comparison of internet-based participant recruitment methods : Engaging the hidden population of Cannabis users in research
- Temple, Elizabeth, Brown, Rhonda
- Authors: Temple, Elizabeth , Brown, Rhonda
- Date: 2011
- Type: Text , Journal article
- Relation: Journal of Research Practice Vol. 7, no. 2 (2011), p.
- Full Text:
- Reviewed:
- Description: While a growing number of researchers are embracing Internet-based data collection methods, the adoption of Internet-based recruitment methods has been relatively slow. This may be because little is known regarding the relative strengths and weaknesses of different methods of Internet-based participant recruitment, nor how these different recruitment strategies impact on the data collected. These issues are addressed in this article with reference to a study comparing the effectiveness of three Internet-based strategies in recruiting cannabis users for an online study. Consideration of the recruitment data leads us to recommend that researchers use multipronged Internet-based recruitment campaigns with appropriately detailed recruitment messages tailored to the population of interest and located carefully to ensure they reach the intended audience. Further, we suggest that building rapport directly with potential participants, or utilising derived rapport and implicit endorsements, is an important aspect of successful Internet-based participant recruitment strategies. © 2011 Journal of Research Practice and the author.
- Authors: Temple, Elizabeth , Brown, Rhonda
- Date: 2011
- Type: Text , Journal article
- Relation: Journal of Research Practice Vol. 7, no. 2 (2011), p.
- Full Text:
- Reviewed:
- Description: While a growing number of researchers are embracing Internet-based data collection methods, the adoption of Internet-based recruitment methods has been relatively slow. This may be because little is known regarding the relative strengths and weaknesses of different methods of Internet-based participant recruitment, nor how these different recruitment strategies impact on the data collected. These issues are addressed in this article with reference to a study comparing the effectiveness of three Internet-based strategies in recruiting cannabis users for an online study. Consideration of the recruitment data leads us to recommend that researchers use multipronged Internet-based recruitment campaigns with appropriately detailed recruitment messages tailored to the population of interest and located carefully to ensure they reach the intended audience. Further, we suggest that building rapport directly with potential participants, or utilising derived rapport and implicit endorsements, is an important aspect of successful Internet-based participant recruitment strategies. © 2011 Journal of Research Practice and the author.
A comparison of machine learning algorithms for multilabel classification of CAN
- Kelarev, Andrei, Stranieri, Andrew, Yearwood, John, Jelinek, Herbert
- Authors: Kelarev, Andrei , Stranieri, Andrew , Yearwood, John , Jelinek, Herbert
- Date: 2012
- Type: Text , Journal article
- Relation: Advances in Computer Science and Engineering Vol. 9, no. 1 (2012), p. 1-4
- Full Text:
- Reviewed:
- Description: This article is devoted to the investigation and comparison of several important machine learning algorithms in their ability to obtain multilabel classifications of the stages of cardiac autonomic neuropathy (CAN). Data was collected by the Diabetes Complications Screening Research Initiative at Charles Sturt University. Our experiments have achieved better results than those published previously in the literature for similar CAN identification tasks.
- Authors: Kelarev, Andrei , Stranieri, Andrew , Yearwood, John , Jelinek, Herbert
- Date: 2012
- Type: Text , Journal article
- Relation: Advances in Computer Science and Engineering Vol. 9, no. 1 (2012), p. 1-4
- Full Text:
- Reviewed:
- Description: This article is devoted to the investigation and comparison of several important machine learning algorithms in their ability to obtain multilabel classifications of the stages of cardiac autonomic neuropathy (CAN). Data was collected by the Diabetes Complications Screening Research Initiative at Charles Sturt University. Our experiments have achieved better results than those published previously in the literature for similar CAN identification tasks.
A comparison of the effects of fatigue on subjective and objective assessment of situation awareness in cycling
- Authors: Knez, Wade , Ham, Daniel
- Date: 2006
- Type: Text , Journal article
- Relation: Journal of Sports Science and Medicine Vol. 5, no. 1 (2006), p. 89-96
- Full Text:
- Reviewed:
- Description: Maximal effort on a 30 km Time Trial (TT30) was examined to assess whether it would elicit changes in objective and subjective tests of the participants' perception of the environment and their ability to anticipate future occurrences (situation awareness; SA) and to determine the effect of post-exercise recovery on SA. Nine experienced (5.22 ± 2.77 years) road cyclists had their objective and subjective levels of SA assessed prior to and at the completion of two TT30. The participants' results were compared to measurements of maximal oxygen uptake (VO2max), peak power output (PPO), age and years of competitive cycle racing experience. Fatigue resulting from maximal effort on a TT30 produced significant changes in both the objective and subjective test of SA. Effect sizes of 0.93 and 0.99 indicated that the first and second TT30 were likely or almost certain to have a beneficial effect on the objective assessment of SA. However, the effect sizes of 0.97 and 0.95 relating to the subjective assessment of cognitive performance on the first and second TT30 showed that it was very likely the participants' had an increased difficulty in maintaining SA. A recovery period of up to three minutes post TT30 had no effect on SA. Changes in SA had no relationship with measurements of VO2max, peak power output (PPO), age and years of competitive cycle racing experience. The findings suggest that within a laboratory environment, participants consistently underestimate their ability to make accurate assessments of their cycling environment compared to objective measures of their SA. ©Journal of Sports Science and Medicine (2006).
- Description: C1
- Authors: Knez, Wade , Ham, Daniel
- Date: 2006
- Type: Text , Journal article
- Relation: Journal of Sports Science and Medicine Vol. 5, no. 1 (2006), p. 89-96
- Full Text:
- Reviewed:
- Description: Maximal effort on a 30 km Time Trial (TT30) was examined to assess whether it would elicit changes in objective and subjective tests of the participants' perception of the environment and their ability to anticipate future occurrences (situation awareness; SA) and to determine the effect of post-exercise recovery on SA. Nine experienced (5.22 ± 2.77 years) road cyclists had their objective and subjective levels of SA assessed prior to and at the completion of two TT30. The participants' results were compared to measurements of maximal oxygen uptake (VO2max), peak power output (PPO), age and years of competitive cycle racing experience. Fatigue resulting from maximal effort on a TT30 produced significant changes in both the objective and subjective test of SA. Effect sizes of 0.93 and 0.99 indicated that the first and second TT30 were likely or almost certain to have a beneficial effect on the objective assessment of SA. However, the effect sizes of 0.97 and 0.95 relating to the subjective assessment of cognitive performance on the first and second TT30 showed that it was very likely the participants' had an increased difficulty in maintaining SA. A recovery period of up to three minutes post TT30 had no effect on SA. Changes in SA had no relationship with measurements of VO2max, peak power output (PPO), age and years of competitive cycle racing experience. The findings suggest that within a laboratory environment, participants consistently underestimate their ability to make accurate assessments of their cycling environment compared to objective measures of their SA. ©Journal of Sports Science and Medicine (2006).
- Description: C1
A comparison of the public's use of PPE and strategies to avoid contagion during the COVID-19 pandemic in Australia and Germany
- Moore, Kathleen, Bouchoucha, Stephane, Buchwald, Petra
- Authors: Moore, Kathleen , Bouchoucha, Stephane , Buchwald, Petra
- Date: 2021
- Type: Text , Journal article
- Relation: Nursing and Health Sciences Vol. 23, no. 3 (2021), p. 708-714
- Full Text:
- Reviewed:
- Description: The SARS-CoV-2 or COVID-19 pandemic has raised public awareness around disease protection. The aims in this study were to recruit participants from Australia and Germany to determine their use of personal protective equipment and COVID-19 avoidance strategies using scales designed for this study. Principal components analysis with the Australian data revealed two factors in the Protection from Infection Scale, Self-Care and Protective Behaviors, and a single factor in the Infection Avoidance Scale, with each scale demonstrating strong internal reliability. Data from German participants were used to confirm the scales' structure using confirmatory factor analysis. A comparison of the two data sets data revealed that Australian participants scored higher overall on protection and avoidance strategies but at the item level there were several commonalities, including self-care behaviors people adopted to avoid contracting COVID-19. With no foreseeable end to this pandemic, it is important that follow-up studies ascertain whether the public continues to adopt high levels of PPE use and follows government advice or if pandemic fatigue sets in. © 2021 John Wiley & Sons Australia, Ltd.
- Authors: Moore, Kathleen , Bouchoucha, Stephane , Buchwald, Petra
- Date: 2021
- Type: Text , Journal article
- Relation: Nursing and Health Sciences Vol. 23, no. 3 (2021), p. 708-714
- Full Text:
- Reviewed:
- Description: The SARS-CoV-2 or COVID-19 pandemic has raised public awareness around disease protection. The aims in this study were to recruit participants from Australia and Germany to determine their use of personal protective equipment and COVID-19 avoidance strategies using scales designed for this study. Principal components analysis with the Australian data revealed two factors in the Protection from Infection Scale, Self-Care and Protective Behaviors, and a single factor in the Infection Avoidance Scale, with each scale demonstrating strong internal reliability. Data from German participants were used to confirm the scales' structure using confirmatory factor analysis. A comparison of the two data sets data revealed that Australian participants scored higher overall on protection and avoidance strategies but at the item level there were several commonalities, including self-care behaviors people adopted to avoid contracting COVID-19. With no foreseeable end to this pandemic, it is important that follow-up studies ascertain whether the public continues to adopt high levels of PPE use and follows government advice or if pandemic fatigue sets in. © 2021 John Wiley & Sons Australia, Ltd.
A complete list of kernels used in support vector machines
- Authors: Zhang, Jiapu
- Date: 2015
- Type: Text , Journal article
- Relation: Biochemistry & Pharmacology Vol. 4, no. 5 (2015), p. 1-2
- Full Text:
- Reviewed:
- Description: In bioinformatics or chemoinformatics, we always need data mining of support vector machines (SVMs) for its large databases. Kernels play an important role in SVMs. Thus it is very necessary to list all the kernels of SVMs that we currently use.
- Authors: Zhang, Jiapu
- Date: 2015
- Type: Text , Journal article
- Relation: Biochemistry & Pharmacology Vol. 4, no. 5 (2015), p. 1-2
- Full Text:
- Reviewed:
- Description: In bioinformatics or chemoinformatics, we always need data mining of support vector machines (SVMs) for its large databases. Kernels play an important role in SVMs. Thus it is very necessary to list all the kernels of SVMs that we currently use.
A complex act - teacher educators share their perspectives of practicum assessment
- Aspden, Karyn, McLachlan, Claire
- Authors: Aspden, Karyn , McLachlan, Claire
- Date: 2017
- Type: Text , Journal article
- Relation: Waikato journal of education Vol. 22, no. 3 (2017), p. 21-32
- Full Text:
- Reviewed:
- Description: Reports the findings of a doctoral study that examined the assessment of practicum in early childhood initial teacher education and, in particular, the way in which practicum assessment was enacted and experienced by early childhood student teachers, associate teachers, and teacher educators within institutional contexts. Provides insights into how teacher educators define their role, what they look for and hope for in the assessment process, as well as the challenges faced in making authentic, appropriate and informed assessment decisions. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
- Authors: Aspden, Karyn , McLachlan, Claire
- Date: 2017
- Type: Text , Journal article
- Relation: Waikato journal of education Vol. 22, no. 3 (2017), p. 21-32
- Full Text:
- Reviewed:
- Description: Reports the findings of a doctoral study that examined the assessment of practicum in early childhood initial teacher education and, in particular, the way in which practicum assessment was enacted and experienced by early childhood student teachers, associate teachers, and teacher educators within institutional contexts. Provides insights into how teacher educators define their role, what they look for and hope for in the assessment process, as well as the challenges faced in making authentic, appropriate and informed assessment decisions. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
A comprehensive profile of elite tennis and strategies to enhance match play performance
- Authors: Hornery, Daniel
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This dissertation illustrates an interdisciplinary sport science approach to further understand the interaction between physiology and performance in tennis. An integral theme throughout the experimental phases was the emphasis on obtaining information from actual competitive scenarios or settings that simulated a match environment. [...] This study extended the work of similar investigations through the multifaceted methods in which performance was quantified. Overall the thesis provides unique insight into the physiological demands of professional tournament tennis and the constraints these impose on performance. Furthermore, evidence was accrued to support some of the common preparatory and in-match behaviours used by players to enhance performance."
- Description: Doctor of Philosophy
- Authors: Hornery, Daniel
- Date: 2006
- Type: Text , Thesis , PhD
- Full Text:
- Description: "This dissertation illustrates an interdisciplinary sport science approach to further understand the interaction between physiology and performance in tennis. An integral theme throughout the experimental phases was the emphasis on obtaining information from actual competitive scenarios or settings that simulated a match environment. [...] This study extended the work of similar investigations through the multifaceted methods in which performance was quantified. Overall the thesis provides unique insight into the physiological demands of professional tournament tennis and the constraints these impose on performance. Furthermore, evidence was accrued to support some of the common preparatory and in-match behaviours used by players to enhance performance."
- Description: Doctor of Philosophy
A comprehensive review of computational methods for automatic prediction of schizophrenia with insight into indigenous populations
- Ratana, Randall, Sharifzadeh, Hamid, Krishnan, Jamuna, Pang, Shaoning
- Authors: Ratana, Randall , Sharifzadeh, Hamid , Krishnan, Jamuna , Pang, Shaoning
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Frontiers in Psychiatry Vol. 10, no. (2019), p.
- Full Text:
- Reviewed:
- Description: Psychiatrists rely on language and speech behavior as one of the main clues in psychiatric diagnosis. Descriptive psychopathology and phenomenology form the basis of a common language used by psychiatrists to describe abnormal mental states. This conventional technique of clinical observation informed early studies on disturbances of thought form, speech, and language observed in psychosis and schizophrenia. These findings resulted in language models that were used as tools in psychosis research that concerned itself with the links between formal thought disorder and language disturbances observed in schizophrenia. The end result was the development of clinical rating scales measuring severity of disturbances in speech, language, and thought form. However, these linguistic measures do not fully capture the richness of human discourse and are time-consuming and subjective when measured against psychometric rating scales. These linguistic measures have not considered the influence of culture on psychopathology. With recent advances in computational sciences, we have seen a re-emergence of novel research using computing methods to analyze free speech for improving prediction and diagnosis of psychosis. Current studies on automated speech analysis examining for semantic incoherence are carried out based on natural language processing and acoustic analysis, which, in some studies, have been combined with machine learning approaches for classification and prediction purposes. © Copyright © 2019 Ratana, Sharifzadeh, Krishnan and Pang.
- Authors: Ratana, Randall , Sharifzadeh, Hamid , Krishnan, Jamuna , Pang, Shaoning
- Date: 2019
- Type: Text , Journal article , Review
- Relation: Frontiers in Psychiatry Vol. 10, no. (2019), p.
- Full Text:
- Reviewed:
- Description: Psychiatrists rely on language and speech behavior as one of the main clues in psychiatric diagnosis. Descriptive psychopathology and phenomenology form the basis of a common language used by psychiatrists to describe abnormal mental states. This conventional technique of clinical observation informed early studies on disturbances of thought form, speech, and language observed in psychosis and schizophrenia. These findings resulted in language models that were used as tools in psychosis research that concerned itself with the links between formal thought disorder and language disturbances observed in schizophrenia. The end result was the development of clinical rating scales measuring severity of disturbances in speech, language, and thought form. However, these linguistic measures do not fully capture the richness of human discourse and are time-consuming and subjective when measured against psychometric rating scales. These linguistic measures have not considered the influence of culture on psychopathology. With recent advances in computational sciences, we have seen a re-emergence of novel research using computing methods to analyze free speech for improving prediction and diagnosis of psychosis. Current studies on automated speech analysis examining for semantic incoherence are carried out based on natural language processing and acoustic analysis, which, in some studies, have been combined with machine learning approaches for classification and prediction purposes. © Copyright © 2019 Ratana, Sharifzadeh, Krishnan and Pang.
A comprehensive spectrum trading scheme based on market competition, reputation and buyer specific requirements
- Hassan, Md Rakib, Karmakar, Gour, Kamruzzaman, Joarder, Srinivasan, Bala
- Authors: Hassan, Md Rakib , Karmakar, Gour , Kamruzzaman, Joarder , Srinivasan, Bala
- Date: 2015
- Type: Text , Journal article
- Relation: Computer Networks Vol. 84, no. (2015), p. 17-31
- Full Text:
- Reviewed:
- Description: In the exclusive-use model of spectrum trading, cognitive radio devices or secondary users can buy spectrum resources from licensed users or primary users for a short or long period of time. Considering such spectrum access, a trading model is introduced where a buyer can select a set of candidate sellers based on their reputation and their offers in fulfilling its requirements, namely, offered signal quality, contract duration, coverage and bandwidth. Similarly, a seller can assess a buyer as a potential trading partner considering the buyer's reliability, which the seller can derive from the buyer's reputation and financial profile. In our scheme, seller reputation or buyer reliability can be either obtained from a reputation brokerage service, if one exists, or calculated using our model. Since in a competitive market, the price of a seller depends on that of other sellers, game theory is used to model the competition among multiple sellers. An optimization technique is used by a buyer to select the best seller(s) and optimize purchase to maximize its utility. This may result in buying from multiple sellers of certain amount of bandwidth from each, depending on price and meeting requirements and budget constraints. Stability of the model is analyzed and performance evaluation shows that it benefits sellers and buyers in terms of profit and throughput, respectively. © 2015 Elsevier B.V. All rights reserved.
- Authors: Hassan, Md Rakib , Karmakar, Gour , Kamruzzaman, Joarder , Srinivasan, Bala
- Date: 2015
- Type: Text , Journal article
- Relation: Computer Networks Vol. 84, no. (2015), p. 17-31
- Full Text:
- Reviewed:
- Description: In the exclusive-use model of spectrum trading, cognitive radio devices or secondary users can buy spectrum resources from licensed users or primary users for a short or long period of time. Considering such spectrum access, a trading model is introduced where a buyer can select a set of candidate sellers based on their reputation and their offers in fulfilling its requirements, namely, offered signal quality, contract duration, coverage and bandwidth. Similarly, a seller can assess a buyer as a potential trading partner considering the buyer's reliability, which the seller can derive from the buyer's reputation and financial profile. In our scheme, seller reputation or buyer reliability can be either obtained from a reputation brokerage service, if one exists, or calculated using our model. Since in a competitive market, the price of a seller depends on that of other sellers, game theory is used to model the competition among multiple sellers. An optimization technique is used by a buyer to select the best seller(s) and optimize purchase to maximize its utility. This may result in buying from multiple sellers of certain amount of bandwidth from each, depending on price and meeting requirements and budget constraints. Stability of the model is analyzed and performance evaluation shows that it benefits sellers and buyers in terms of profit and throughput, respectively. © 2015 Elsevier B.V. All rights reserved.
A computable theory for learning Bayesian networks based on MAP-MDL principles
- Pan, Heping, McMichael, Daniel
- Authors: Pan, Heping , McMichael, Daniel
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at Workshop on Learning Algorithms for Pattern Recognition in conjunction with the 18th Australian Joint Conference on Artificial Intelligence AI'05, Sydney : 5th - 9th December, 2005 p. 769-776
- Full Text:
- Reviewed:
- Description: E1
- Description: 2003001442
- Authors: Pan, Heping , McMichael, Daniel
- Date: 2005
- Type: Text , Conference paper
- Relation: Paper presented at Workshop on Learning Algorithms for Pattern Recognition in conjunction with the 18th Australian Joint Conference on Artificial Intelligence AI'05, Sydney : 5th - 9th December, 2005 p. 769-776
- Full Text:
- Reviewed:
- Description: E1
- Description: 2003001442