Pixel N-grams for mammographic lesion classification
- Authors: Kulkarni, Pradnya , Stranieri, Andrew , Ugon, Julien , Mittal, Manish , Kulkarni, Siddhivinayak
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 2nd International Conference on Communication Systems, Computing and IT Applications, CSCITA , Mumbai; 7th-8th April, 2017; published in CSCITA 2017 - Proceedings p. 107-111
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- Description: Automated classification algorithms have been applied to breast cancer diagnosis in order to improve the diagnostic accuracy and turnover time. However, classification accuracy, sensitivity and specificity could still be improved further. Moreover, reducing computational cost is another challenge as the number of images to be analyzed is typically large. In this paper, a novel Pixel N-gram approach inspired from character N-grams in the text retrieval context has been applied for mammographic lesion classification. The experiments on real world database demonstrate that the Pixel N-grams outperform the existing histogram as well as Haralick features with respect to classification accuracy as well as sensitivity. Effect of varying N and using various classifiers is also analyzed in this paper. Results show that optimum value of N is equal to 3 and MLP classifier performs better than SVM and KNN classifier using 3-gram features.
Positive design of smart interactive fabric artifacts for people with dementia
- Authors: Mann, Graham , Oatley, Giles
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH); Perth, WA, Australia; 2-4 April 2017 p. 1-8
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- Description: Confronting the expected rise of dementia as a major health care problem raises many questions about the best ways to adapt the health system to deal with it. To the extent that intelligent assistive technologies can help, there seems to be value in comforting fabric artifacts enhanced by electronic games and activities designed to support, engage and entertain people with dementia. Local cottage industries which now support the creation of textile crafts should be empowered to scale up to meet the growing demand for such products. New design concepts are required to accomplish this in the face of rising costs and limited resources. This paper proposes a four-step design process that meets this need, and provides practical suggestions about how it could be applied in this context. A number of examples are included.
Power transaction management amongst coupled microgrids in remote areas
- Authors: Batool, Munira , Islam, Syed , Shahnia, Farhad
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 7th IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2017;Auckland, New Zealand; 4th-7th December 2017 p. 1-6
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- Description: Large remote areas normally have isolated and self-sufficient electricity supply systems, often referred to as microgrids. These systems also rely on a mix of dispatchable and non-dispatcha- ble distributed energy resources to reduce the overall cost of electricity production. Emergencies such as shortfalls, overloading, and faults can cause problems in the operation of these remote area microgrids. This paper presents a power transaction management scheme amongst a few such microgrids when they are coupled provisionally during emergencies. By definition, power transaction is an instance of buying and selling of electricity amongst problem and healthy microgrids. The developed technique aims to define the suitable power generation from all dispatchable sources and regulate the power transaction amongst the coupled microgrids. To this end, an optimization problem is formulated that aims to define the above parameters while minimizing the costs and technical impacts. A mixed- integer linear programming technique is used to solve the formulated problem. The performance of the proposed management strategy is evaluated by numerical analysis in MATLAB.
Predictive analytics for detecting sensor failure using autoregressive integrated moving average model
- Authors: Thiyagarajan, Karthick , Kodagoda, Sarath , Van Nguyen, Linh
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA); Siem Reap, Cambodia; 18-20 June 2017 p. 1926-1931
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- Description: Sensors play a vital role in monitoring the important parameters of critical infrastructure. Failure of such sensors causes destabilization to the entire system. In this regard, this paper proposes a predictive analytics solution for detecting the failure of a sensor that measures surface temperature from an urban sewer. The proposed approach incorporates a forecasting technique based on the past time series of sparse data using an autoregressive integrated moving average (ARIMA) model. Based on the 95% forecast interval and continuity of faulty data, a criterion was set to detect anomalies and to issue a warning for sensor failure. The forecasted and faulty data were assumed Gaussian distributed. By using the probability density of the distribution, the mean and variance were computed for faulty data to examine the abnormality in the variance value of each day to detect the sensor failure. The experimental results on the sewer temperature data are appealing.
Principles and guidelines for Australian higher education Libraries : Capturing value
- Authors: Owen, Sue , Peasley, Jennifer , Paton, Barbara
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: Second Annual TEQSA Conference; Melbourne, Australia; 29th November-1st December 2017 p. 146-158
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- Description: Reflecting on their time at university through an affinity survey, many alumni from Monash University reported affinity with their university library. Their Library! What makes that connection so strong? Aligning with institutional priorities and higher education standards, academic librarians have long partnered with faculties and divisions, conferred with research centres and liaised with student groups to augment university outcomes. However, tools for crystallising Library value are less advanced. In this paper, a new framework, Principles and Guidelines for Australian higher education libraries (2016), is introduced. Its purpose is to describe and assess the contribution of libraries to academic and research endeavour. It articulates Library value through major strategic priorities, each with high-level value statements or Principles and a suite of associated Guidelines. The framework marks a new generation of Library value and impact tools. Coupling the framework with associated performance indicators, library directors and stakeholders can be better informed of library value.
Renewable methane storage in Gippsland for peak and backup power
- Authors: Ghayur, Adeel , Verheyen, Vincent
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 Australasian Universities Power Engineering Conference, AUPEC; Melbourne, Australia; 19th-22nd November 2017. p. 1-5
- Full Text: false
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- Description: Climate Change mitigation by adopting renewable energies and the depleting gas reservoirs of Australia’s Gippsland Basin have introduced insecurity in the Australian energy sector. Urgent measures are needed to avoid future grid failures. This study proposes underground storage of biomethane (CH4) to meet peak and backup power demands. The depleted gas reservoirs and coal seams of Gippsland are candidates for such a storage. In this study, a facility converting waste biomass into methane and storing it in depleted gas reservoir for meeting peak/backup electricity demand is modelled and simulated. In the model, 200 t/d of biomass is anaerobically digested into methane. Despite this practicable yet relatively small scale when combined with storage, the facility generates 14,000 t (20 million m3) of methane per year, enough to generate over 80,000 MWh of electricity on demand via fuel cells. These results demonstrate the potential for bio-renewables contributing to large scale power demand.
Research on EKF-based localization method of tracked mobile robot
- Authors: Qu, Junsuo , Zhang, Qipeng , Hou, Leichao , Zhang, Ruijun , Ting, Kaiming
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017); Wuhan, China; 8th-9th July 2017; published in ACSR-Advances in Computer Science Research series Vol. 74, p. 175-180
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- Description: To estimate the position and heading angle of mobile robot precisely, an measurement variable estimation model was proposed to adapt any angle. Fusing the predictive value of odometry and measurement data of multiple sensors by the Extended Kalman Filtering (EKF) for reducing the accumulative error by using only traditional odometry. The proposed models is verified by Matlab simulation and experimental results.
Significance level of a query for enterprise data
- Authors: Thi Ngoc Dinh, Loan , Karmakar, Gour , Kamruzzaman, Joarder , Stranieri, Andrew , Das, Rajkumar
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 30th International Business Information Management Association Conference - Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth, IBIMA 2017; Madrid, Spain; 8th-9th November 2017 Vol. 2017-January, p. 4494-4504
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- Description: To operate enterprise activities, a large number of queries need to be processed every day through an enterprise system. Consequently, such a system frequently faces hugely overloaded information and incurs high delay in producing query responses for big data. This is because, traditional queries are normally treated with equal importance. With the advent of big data and its use in enterprise systems and the growth of process complexity, the traditional approach of query processing is no more suitable as it does not consider semantic information and captures all data irrespective of their relevance to a business organization, which eventually increases the computational time in both big data collection and analysis. The significance level of a query can make a trade-off between query response delay and the extent of data collection and analysis. This motivates us to concentrate on determining the significance level of a query considering its importance to an enterprise system. To our knowledge, no such approach is available in the literature. To bridge this research gap, this paper, for the first time, proposes an approach to determine the significance level of a query to prioritize them with the relevance to a business organization. As business processes play key roles in any enterprise system and all business processes are not equally important, this is done by determining the semantic similarity between a query and the processes of a business organization and the importance of a business process to that organization. With a case study on an enterprise system of a retail company, the results produced by our proposed approach have shown that significance level is higher for more important queries compared to the less important ones.
Soil organic matter estimation in precision agriculture using wireless sensor networks
- Authors: Nguuyen, Linh , Kodagoda, Sarath
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV); Phuket, Thailand; 13-15th November, 2016 p. 277-282
- Full Text: false
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- Description: In order to achieve the ever increasing quantity and quality demands for agricultural products, technological innovations must be explored. In most cases, low cost and high quality sensing options are a top priority. This paper addresses the problem of predicting soil organic matter content in an agriculture field using information collected by a low-cost network of mobile, wireless and noisy sensors that can take discrete measurements in the environment. In this context, it is proposed that the spatial phenomenon of organic matter in soil to be monitored is modeled using Gaussian processes. The proposed model then enables the wireless sensor network to estimate the soil organic matter field at all unobserved locations of interest. The estimated values at predicted locations are highly comparable to those at corresponding points on a realistic image that is aerially taken by a very expensive and complex remote sensing system.
Spatio-temporal environmental monitoring for smart buildings
- Authors: Nguuyen, Linh , Hu, Guoqiang , Spanos, Costas
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 13th IEEE International Conference on Control & Automation (ICCA); Ohrid, Macedonia; 3-6 July 2017 p. 277-282
- Full Text: false
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- Description: The paper addresses the problem of efficiently monitoring environmental fields in a smart building by the use of a network of wireless noisy sensors that take discretely-predefined measurements at their locations through time. It is proposed that the indoor environmental fields are statistically modeled by spatio-temporal non-parametric Gaussian processes. The proposed models are able to effectively predict and estimate the indoor climate parameters at any time and at any locations of interest, which can be utilized to create timely maps of indoor environments. More importantly, the monitoring results are practically crucial for building management systems to efficiently control energy consumption and maximally improve human comfort in the building. The proposed approach was implemented in a real tested space in a university building, where the obtained results are highly promising.
Tactile sensor based intelligent grasping system
- Authors: Venter, Justin , Mazid, Abdul Md
- Date: 2017
- Type: Text , Conference proceedings
- Relation: 2017 IEEE International Conference on Mechatronics (ICM); Churchill, 13-15 Feb; 2017 p. 303-308
- Full Text: false
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- Description: This paper offers the design and prototype technology of a tactile sensor, based on the principle of surface texture recognition, capable of monitoring slip in robotic grasping. The sensor has been mounted onto a parallel gripper jaw of a robot. The integrated system of tactile sensor, gripper, robot and the system control, in real life experiments, has proven itself capable of slip detection and adjusting adequate grasping force preventing objects from falling down. Several experiments have been carried out with the newly developed system for grasping a number of various object-samples. Success rate of the system for testing in slip detection and adjusting adequate grasping force in experiments was about 85% in average.
The impact of work-integrated learning experiences on attaining graduate attributes for exercise and sports science students
- Authors: Hall, Melinda , Pascoe, Deborah , Charity, Megan
- Date: 2017
- Type: Text , Conference proceedings
- Relation: Australian Collaborative Education Network 2016 Annual Conference; Sydney, Australia; 28th-30th September 2016; published in Asia-Pacific Journal of Cooperative Education Vol. 18, p. 101-113
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- Description: Exercise and Sports Science (E&SS) programs at Federation University Australia provide work-integrated learning (WIL) opportunities for students to develop, apply and consolidate theoretical knowledge in the workplace. This study aimed to determine the influence of WIL experiences on achieving common graduate attributes for E&SS students. From a larger study cohort (N=80), semi-structured interviews (n=4) delved into participant perceptions of graduate attributes and the impact of positive and negative WIL experiences. Using constant comparative analysis, interviews were coded and arranged into lower and higher order themes using the Graduate Employability Skills publication as a framework and the process validated by a WIL colleague. Results showed three out of four essential graduate attributes were developed during all WIL experiences regardless of whether they were positive or negative. These findings have implications for E&SS higher education providers and WIL agencies in ensuring the development of key graduate attributes during all WIL experiences.
Using apps as digital scaffolds for science learning in the primary school
- Authors: Fallon, Gary
- Date: 2017
- Type: Text , Conference proceedings
- Relation: New Perspectives in Science Education 6th; Florence, Italy; 16th May -17th May, 2017 p. 254-259
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- Description: Recent technological developments have seen increasing numbers of mobile digital devices being used in schools, and the advent of these has opened new possibilities for supporting science learning. This paper reports outcomes from primary students’ use of apps as digital scaffolds for self-regulated learning, in a ‘Forms of Energy’ inquiry. Results identified design features of the apps that were effective in supporting students’ organisation and procedural knowledge, but found limitations to how well they could support conceptual understanding. Outcomes highlight the importance of human factors in optimising learning benefits from using apps in science, and underpin the importance of teachers’ conceptual knowledge to students’ science learning. Keywords: apps, iPads, self-regulated learning, science, digital, scaffold.
Wireless networked dynamic control testbed for power converters in smart home applications
- Authors: Islam, Syed , Maxwell, Shawn , Park, Sung-Yeul , Zheng, Shaobo , Gong, Tao , Han, Song
- Date: 2017
- Type: Text , Conference proceedings , Conference paper
- Relation: 32nd Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2017; Tampa, United States; 26th-30th March 2017 p. 1196-1202
- Full Text: false
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- Description: Conventional power converters control pulse width modulation (PWM) signals based on the directly sensed feedback signals or estimated state signals. Recently, information and communication technologies are beginning to integrate power converters into smart grid applications. This paper presents a Hardware-In-The-Loop Testbed using a WirelessHART network for smart home applications in a case study. The main components of the testbed are OP4510 RT-LAB-RCP/HIL systems, Texas Instruments Digital Signal Controllers and AwiaTech wireless modules. In this testbed, wireless based controller is integrated with conventional digital controller. OP4510 is used to simulate power stages of the power converters in real time. Texas Instruments Digital Signal Controllers provide PWM signals from the control loop and communication loop. AwiaTech wireless modules are used to build a WirelessHART network to communicate with power converter from a supervisory program. The case study is to support reactive power in smart home applications using 3 bridgeless unidirectional power factor correction (PFC) converters. For this scenario, supervisor collects reactive power measurement data from the input power node and wirelessly transfers reactive power command values to the home appliances driven by PFC converters. Thus, reactive power demand can be minimized. The experimental result demonstrates the performance of the testbed in different communication delays.
A heuristic gene regulatory networks model for cardiac function and pathology
- Authors: Zarnegar, Armita , Vamplew, Peter , Stranieri, Andrew , Jelinek, Herbert
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 Computing in Cardiology Conference (CinC); Vancouver; 11-14th Sept, 2016
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- Description: Genome-wide association studies (GWAS) and next-generation sequencing (NGS) has led to an increase in information about the human genome and cardiovascular disease. Understanding the role of genes in cardiac function and pathology requires modeling gene interactions and identification of regulatory genes as part of a gene regulatory network (GRN). Feature selection and data reduction not sufficient and require domain knowledge to deal with large data. We propose three novel innovations in constructing a GRN based on heuristics. A 2D Visualised Co-regulation function. Post-processing to identify gene-gene interactions. Finally a threshold algorithm is applied to identify the hub genes that provide the backbone of the GRN. The 2D Visualized Co-regulation function performed significantly better compared to the Pearson's correlation for measuring pairwise associations (t=3.46, df=5, p=0.018). The F-measure, improved from 0.11 to 0.12. The hub network provided a 60% improvement to that reported in the literature. The performance of the hub network was then also compared against ARACNe and performed significantly better (p=0.024). We conclude that a heuristics approach in developing GRNs has potential to improve our understanding of gene regulation and interaction in diverse biological function and disease.
A model for the introduction of Ayurvedic and Allopathic Electronic Health Records in Sri Lanka
- Authors: Stranieri, Andrew , Sahama, Tony , Butler-Henderson, Kerryn , Perera, Kamal
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 IEEE International Symposium on Technology and Society; Trivandrum, Kerala, India; 20th-22nd October 2016 p. 56-61
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- Description: Fully integrated electronic health records (EHR) provide healthcare providers and patients access to records across a health care system and promise efficient and effective provision of health care. However, fully integrated records have proven to be very expensive and difficult to establish. Currently. EHR's have been developed largely to accommodate Western medicine events. These barriers impact on the introduction of EHR's in Sri Lanka, where health budgets are already stretched and Ayurvedic medicine is routinely practiced alongside Allopathic medicine. This article identifies requirements for EHR in the Sri Lankan context and advances a model for the introduction of EHR's that suits that context. The model is justified by drawing on insights and experiences with EHR in Western nations.
A new building mask using the gradient of heights for automatic building extraction
- Authors: Siddiqui, Fasahat , Awrangjeb, Mohammad , Teng, Shyh , Lu, Guojun
- Date: 2016
- Type: Text , Conference proceedings
- Relation: 2016 International Conference on Digital Image Computing: Techniques and Applications (Dicta); Gold Coast, Australia; 30th November-2nd December 2016 p. 288-294
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- Description: A number of building detection methods have been proposed in the literature. However, they are not effective in detecting small buildings (typically, 50 m(2)) and buildings with transparent roof due to the way area thresholds and ground points are used. This paper proposes a new building mask to overcome these limitations and enables detection of buildings not only with transparent roof materials but also which are small in size. The proposed building detection method transforms the non-ground height information into an intensity image and then analyses the gradient information in the image. It uses a small area threshold of 1 m2 and, thereby, is able to detect small buildings such as garden sheds. The use of non-ground points allows analyses of the gradient on all types of roof materials and, thus, the method is also able to detect buildings with transparent roofs. Our experimental results show that the proposed method can successfully extract buildings even when their roofs are small and/or transparent, thereby, achieving relatively higher average completeness and quality.
A travelling wave detector based fault location device and data recorder for medium voltage distribution systems
- Authors: Jahromi, Ali , Wolfs, Peter , Islam, Syed
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 2016 Australasian Universities Power Engineering Conference, AUPEC 2016; Brisbane, Australia; 25th-28th September 2016 p. 1-5
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- Description: This paper presents a hardware design for a Travelling Wave (TW) Detector and data recorder for a three phase Medium Voltage (MV) distribution network. The proposed pole mounted platform consists of a capacitively coupled receiver system, a GPS receiver and a Texas Instruments Delfino 28377 processor based travelling wave detection unit. The data recording system uses an Intel Atom base single board computer, a four channel 10Ms/s analogue to digital converter card along with Wi-Fi and GORS communications links. The proposed system is capable of recording three phase voltages simultaneously with the ability to trigger remotely. The platform is mounted in an IP56 enclosure and can be mounted on the MV distribution poles. The paper provides a brief review of hardware and software developed for the TW detector.
A triangulation-based technique for building boundary identification from point cloud data
- Authors: Awrangjeb, Mohammad , Lu, Guojun
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 2015 International Conference on Image and Vision Computing New Zealand, IVCNZ 2015; Auckland, New Zealand; 23rd-24th November 2015 Vol. 2016-November, p. 1-6
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- Description: Building boundary identification is an essential prerequisite in building outline generation from point cloud data. In this problem, boundary edges that constitute the building boundary are identified. The existing solutions to the identification of boundary edges from the input point set have one or more of the following problems: ineffective in finding appropriate edges in a concave shape, incapable of determining a 'hole' or 'concavity' inside the shape separately, dependant on additional information such as the scan direction that may be unavailable, and incompetent in determining the boundary of a point set from the boundaries of two or more subsets of the point set. This paper proposes a new solution to the identification of building boundary by using the maximum point-to-point distance in the input data. It properly detects the boundary edges for any type of shape and separately recognises holes, if any, inside the shape. The unique feature of the proposed solution is that it can identify the boundary of a point set from the boundaries of two or more subsets of the point set. It does not require any additional information other than the input point set. Experimental results show that the proposed solution can preserve details along the building boundary and offer high area-based completeness and quality, even in low density input data. © 2015 IEEE.
- Description: International Conference Image and Vision Computing New Zealand
Action-02MCF : A robust space-time correlation filter for action recognition in clutter and adverse lighting conditions
- Authors: Ulhaq, Anwaar , Yin, Xiaoxia , Zhang, Yunchan , Gondal, Iqbal
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016; Lecce, Italy; 24th-27th October 2016; published in Advanced Conepts for Intelligent Vision Systems (Lecture Notes in Computer Science series) Vol. 10016 LNCS, p. 465-476
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- Description: Human actions are spatio-temporal visual events and recognizing human actions in different conditions is still a challenging computer vision problem. In this paper, we introduce a robust feature based space-time correlation filter, called Action-02MCF (0’zero-aliasing’ 2M’ Maximum Margin’) for recognizing human actions in video sequences. This filter combines (i) the sparsity of spatio-temporal feature space, (ii) generalization of maximum margin criteria, (iii) enhanced aliasing free localization performance of correlation filtering using (iv) rich context of maximally stable space-time interest points into a single classifier. Its rich multi-objective function provides robustness, generalization and recognition as a single package. Action-02MCF can simultaneously localize and classify actions of interest even in clutter and adverse imaging conditions. We evaluate the performance of our proposed filter for challenging human action datasets. Experimental results verify the performance potential of our action-filter compared to other correlation filtering based action recognition approaches. © Springer International Publishing AG 2016.
- Description: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)