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A Self-Organized Learning Model For Anomalies Detection: Application To Elderly People, Nicolas R. Verstaevel, Jean-Pierre George, Carole Bernon, Marie-Pierre Gleizes
A Self-Organized Learning Model For Anomalies Detection: Application To Elderly People, Nicolas R. Verstaevel, Jean-Pierre George, Carole Bernon, Marie-Pierre Gleizes
SMART Infrastructure Facility - Papers
In a context of a rapidly growing population of elderly people, this paper introduces a novel method for behavioural anomaly detection relying on a self-organized learning process. This method first models the Circadian Activity Rhythm of a set of sensors and compares it to a nominal profile to determine variations in patients' activities. The anomalies are detected by a multi-agent system as a linear relation of those variations, weighted by influence parameters. The problem of adaptation to a particular patient then becomes the problem of learning the adequate influence parameters. Those influence parameters are self-adjusted, using feedback provided at any …
Lifelong Machine Learning With Adaptive Multi-Agent Systems, Nicolas R. Verstaevel, Jeremy Boes, Julien Nigon, Dorian D'Amico, Marie-Pierre Gleizes
Lifelong Machine Learning With Adaptive Multi-Agent Systems, Nicolas R. Verstaevel, Jeremy Boes, Julien Nigon, Dorian D'Amico, Marie-Pierre Gleizes
SMART Infrastructure Facility - Papers
Sensors and actuators are progressively invading our everyday life as well as industrial processes. They form complex and pervasive systems usually called "ambient systems" or "cyber-physical systems". These systems are supposed to efficiently perform various and dynamic tasks in an ever-changing environment. They need to be able to learn and to self-adapt throughout their life, because designers cannot specify a priori all the interactions and situations they will face. These are strong requirements that push the need for lifelong machine learning, where devices can learn models and behaviours during their whole lifetime and are able to transfer them to perform …
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotics, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotics, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
SMART Infrastructure Facility - Papers
Ambient systems are populated by many heterogeneous devices to provide adequate services to their users. The adaptation of an ambient system to the specific needs of its users is a challenging task. Because human-system interaction has to be as natural as possible, we propose an approach based on Learning from Demonstration (LfD). LfD is an interesting approach to generalize what has been observed during the demonstration to similar situations. However, using LfD in ambient systems needs adaptivity of the learning technique. We present ALEX, a multi-agent system able to dynamically learn and reuse contexts from demonstrations performed by a tutor. …
The Self-Adaptive Context Learning Pattern: Overview And Proposal, Jeremy Boes, Julien Nigon, Nicolas R. Verstaevel, Marie-Pierre Gleizes, Frederic Migeon
The Self-Adaptive Context Learning Pattern: Overview And Proposal, Jeremy Boes, Julien Nigon, Nicolas R. Verstaevel, Marie-Pierre Gleizes, Frederic Migeon
SMART Infrastructure Facility - Papers
Over the years, our research group has designed and developed many self-adaptive multi-agent systems to tackle real-world complex problems, such as robot control and heat engine optimization. A recurrent key feature of these systems is the ability to learn how to handle the context they are plunged in, in other words to map the current state of their perceptions to actions and effects. This paper presents the pattern enabling the dynamic and interactive learning of the mapping between context and actions by our multi-agent systems.
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotic, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotic, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
SMART Infrastructure Facility - Papers
Ambient systems are populated by many heterogeneous devices to provide adequate services to its users. The adaptation of an ambient system to the specific needs of its users is a challenging task. Because human-system interaction has to be as natural as possible, we propose an approach based on Learning from Demonstration (LfD). However, using LfD in ambient systems needs adaptivity of the learning technique. We present ALEX, a multi-agent system able to dynamically learn and reuse contexts from demonstrations performed by a tutor. Results of experiments performed on both a real and a virtual robot show interesting properties of our …
Positive Semidefinite Metric Learning Using Boosting-Like Algorithms, Chunhua Shen, Junae Kim, Lei Wang, Anton Van Den Hengel
Positive Semidefinite Metric Learning Using Boosting-Like Algorithms, Chunhua Shen, Junae Kim, Lei Wang, Anton Van Den Hengel
Faculty of Informatics - Papers (Archive)
The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data. It is often beneficial to learn such a metric from the input training data, instead of using a default one such as the Euclidean distance. In this work, we propose a boosting-based technique, termed BOOSTMETRIC, for learning a quadratic Mahalanobis distance metric. Learning a valid Mahalanobis distance metric requires enforcing the constraint that the matrix parameter to the metric remains positive semidefinite. Semidefinite programming is often used to enforce this constraint, but does not scale well …
The Art Of Learning: Wildfire, Amenity Migration And Local Environmental Knowledge, Christine Eriksen, T Prior
The Art Of Learning: Wildfire, Amenity Migration And Local Environmental Knowledge, Christine Eriksen, T Prior
Faculty of Science - Papers (Archive)
Communicating the need to prepare well in advance of the wildfire season is a strategic priority for wildfire management agencies worldwide. However, there is considerable evidence to suggest that although these agencies invest significant effort towards this objective in the lead up to each wildfire season, landholders in at-risk locations often remain under-prepared. One reason for the poor translation of risk information materials into actual preparation may be attributed to the diversity of people now inhabiting wildfire-prone locations in peri-urban landscapes. These people hold widely varying experiences, beliefs, attitudes and values relating to wildfire, which influence their understanding and interpretation …
Considering Cognitive Load Theory Within E-Learning Environments, Abdullah Al Asraj, Mark Freeman, Paul A. Chandler
Considering Cognitive Load Theory Within E-Learning Environments, Abdullah Al Asraj, Mark Freeman, Paul A. Chandler
Faculty of Informatics - Papers (Archive)
This study seeks to investigate how cognitive load influences knowledge construction and what is the role of layered integrated instructional techniques in facilitating the construction and automation of schemas whilst users are interacting with e-learning tools. Initially the literature on how Cognitive Load Theory (CLT) plays a role in e-learning tools is presented, this is followed by the considerations that need to be taken when developing e-learning tools with CLT as a focus so that learners can gain the best possible learning outcomes. This paper finally presents three different ways that e-learning tools can be designed when considering the cognitive …
The Case For Ict Work-Integrated Learning From Graduates In The Workplace, Anthony J. Koppi, Sylvia L. Edwards, Judy Sheard, Fazel Naghdy, Wayne Brookes
The Case For Ict Work-Integrated Learning From Graduates In The Workplace, Anthony J. Koppi, Sylvia L. Edwards, Judy Sheard, Fazel Naghdy, Wayne Brookes
Faculty of Informatics - Papers (Archive)
An online survey of recent ICT graduates in the workplace was carried out as part of a recent project funded by the Australian Learning and Teaching Council. The survey was concerned with the ICT curriculum in relation to workplace job requirements and university preparation for these requirements. The survey contained quantitative and qualitative components and findings from the former have been published (Koppi et al., 2009). This paper reports on a quantitative comparison of responses from graduates who had workplace experience and those who did not, and a qualitative analysis of text responses from all ICT graduates to open-ended questions …
Data Security And Information Privacy For Pda Accessible Clinical-Log For Medical Education In Problem-Based Learning (Pbl) Approach, Rattiporn Luanrattana, Khin Than Win, John A. Fulcher
Data Security And Information Privacy For Pda Accessible Clinical-Log For Medical Education In Problem-Based Learning (Pbl) Approach, Rattiporn Luanrattana, Khin Than Win, John A. Fulcher
Faculty of Informatics - Papers (Archive)
Data security and information privacy are the important aspects to consider for the use of mobile technology for recording clinical experience and encounter in medical education. Objective: This study aims to address the qualitative findings of the appropriate data security and information privacy for PDA accessible clinical-log in problem-based learning (PBL) approach in medical education. Method: The semi-structured interviews were conducted with the medical faculty members, honorary clinical academics and medical education technology specialists. Results: Data security and information access plan were determined for managing clinical-log data. The results directed the guideline for the future development and implementation of clinical-log …
Improved Learning In Grid-To-Grid Neural Network Via Clustering, William E. White, Khan M. Iftekharuddin, Abdesselam Bouzerdoum
Improved Learning In Grid-To-Grid Neural Network Via Clustering, William E. White, Khan M. Iftekharuddin, Abdesselam Bouzerdoum
Faculty of Informatics - Papers (Archive)
The maze traversal problem involves finding the shortest distance to the goal from any position in a maze. Such maze solving problems have been an interesting challenge in computational intelligence. Previous work has shown that grid-to-grid neural networks such as the cellular simultaneous recurrent neural network (CSRN) can effectively solve simple maze traversing problems better than other iterative algorithms such as the feedforward multi layer perceptron (MLP). In this work, we investigate improved learning for the CSRN maze solving problem by exploiting relevant information about the maze. We cluster parts of the maze using relevant state information and show an …
Learning How To Be An Academic - The Story Of A New Academic In The Sciences, Danielle Skropeta
Learning How To Be An Academic - The Story Of A New Academic In The Sciences, Danielle Skropeta
Faculty of Science - Papers (Archive)
No abstract provided.
Learning Pattern Classification Tasks With Imbalanced Data Sets, Son Lam Phung, Abdesselam Bouzerdoum, Giang Hoang Nguyen
Learning Pattern Classification Tasks With Imbalanced Data Sets, Son Lam Phung, Abdesselam Bouzerdoum, Giang Hoang Nguyen
Faculty of Informatics - Papers (Archive)
This chapter is concerned with the class imbalance problem, which has been recognised as a crucial problem in machine learning and data mining. The problem occurs when there are significantly fewer training instances of one class compared to another class.
The Use Of Technology To Support Student Learning, Anne L. Porter, Norhayati Baharun
The Use Of Technology To Support Student Learning, Anne L. Porter, Norhayati Baharun
Faculty of Informatics - Papers (Archive)
This paper presents the results of a case study investigating the use of technology i.e. video resources in teaching statistics to 40 Health Informatics post-graduate students at the University of Wollongong. The purpose of the study is to investigate if the use of such technology has some impact on student learning outcomes in terms of their understanding of topics and level of anxiety in learning the subject. The findings from the study reveal that students were concerned about their learning of the subject and they found that the use of videos as teaching and learning tools in the subject was …
The Quality Indicators Of Delivering E-Learning For Dementia Care To Nurses, Zhengyu Zhang, Ping Yu
The Quality Indicators Of Delivering E-Learning For Dementia Care To Nurses, Zhengyu Zhang, Ping Yu
Faculty of Informatics - Papers (Archive)
The inadequate supply of trained professionals to provide quality care for people with dementia is a big problem. Elearning could provide an effective solution to this challenge. Although e-learning is not a new teaching method, a quality framework is lack that can be used to judge the quality of e-learning delivery for working nurses. This gap thus should be overcomed. Therefore, the primary aim of this study is to identify the quality indicator for effective elearning delivery. Based on these indicators, a quality framework of e-learning packages that teach nurses to deliver dementia care is constructed. The approach taken is …
Becoming Multiliterate: Digital Video News Construction Within A Technology-Supported Learning Environment, Lori Lockyer, Ian M. Brown, David Blackall, Barry M. Harper, Phillip J. Mckerrow
Becoming Multiliterate: Digital Video News Construction Within A Technology-Supported Learning Environment, Lori Lockyer, Ian M. Brown, David Blackall, Barry M. Harper, Phillip J. Mckerrow
Faculty of Informatics - Papers (Archive)
Twenty-first century literacies imply multiliteracies – going beyond language literacy and numeracy to, among others, information, visual, media and technological literacies. An education that develops capabilities across a range of literacies equips young people with the skills necessary to participate in a complex, globalized workplace and community. A key step toward realizing such national and state education agendas is specific curriculum interventions that are translated to the classroom level. This paper reports on a case study that explored both the process and outcomes of the implementation of an education program which was designed to incorporate multiliteracies.
Forestry For Indigenous Peoples: Learning From Experiences With Forest Industries, Sue Feary
Forestry For Indigenous Peoples: Learning From Experiences With Forest Industries, Sue Feary
Faculty of Science - Papers (Archive)
No abstract provided.
Wfms-Based Data Integration For E-Learning, Jianming Yong, Jun Yan, Xiaodi Huang
Wfms-Based Data Integration For E-Learning, Jianming Yong, Jun Yan, Xiaodi Huang
Faculty of Informatics - Papers (Archive)
As more and more organisations and institutions are moving towards the e-learning strategy, more and more disparate data are distributed by different e-learning systems. How to effectively use this vast amount of distributed data becomes a big challenge. This paper addresses this challenge and works out a new mechanism to implement data integration for e-learning. A workflow management system based (WFMS-based) data integration model is contributed to the e-learning.
A Collaborative Approach To Health Informatics Capacity Building - Learning From Canadian Practice In Fostering Research And Education, Ping Yu, Marilynne Herbert, Francis Lau
A Collaborative Approach To Health Informatics Capacity Building - Learning From Canadian Practice In Fostering Research And Education, Ping Yu, Marilynne Herbert, Francis Lau
Faculty of Informatics - Papers (Archive)
Objectives: Canada and Australia share two priority areas for HI workforce capacity building: to support research and education. This presentation will discuss a collaborative, nationwide health informatics (HI) PhD/Postdoc training program in Canada, which demonstrates a potential solution to meet these priorities. The status of HI higher education in Australia is briefly reviewed. The potential solution in resolving workforce shortage in Australia through adopting overseas practice is discussed, such as implementing a similar collaborative HI research training program across the country. Background: A Think Tank organized by Commonwealth Department of Health and Ageing in 2003 explored the issue of HI …
Can The Love Of Learning Be Taught?, R. Nillsen
Can The Love Of Learning Be Taught?, R. Nillsen
Faculty of Informatics - Papers (Archive)
This paper is an expanded version of a talk given at a Generic Skills Workshop at the University of Wollongong, and was originally intended for academic staff from any discipline and general staff with an interest in teaching. The issues considered in the paper include the capacity of all to learn, the distinction between learning as understanding and learning as information, the interaction between the communication and the content of ideas, the tension between perception and content in communication between persons, and the human functions of a love of learning. In teaching, the creation of a fear-free environment is emphasised, …