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With the rapidly increasing reliance of life sciences research on digital data and sophisticated computational analysis techniques, the ability to reproduce findings generated by in-silico data analysis workflows is of increasing importance to the scientific community. However, challenges to reproducibility arise from the heterogeneity of approaches available to workflow definition and enactment....
It is a simple task for humans to visually identify objects. However, computer-based image recognition remains challenging. In this paper we describe an approach for image recognition with specific focus on automated recognition of plants and flowers. The approach taken utilizes deep learning capabilities and unlike other approaches that focus on static images for feature classification, we utilize...
A wide array of clouds have been built and adopted by business and research communities. Similarly, many research communities use workflow environments and tools such as Taverna and Galaxy to model the execution of tasks to support and expedite the reenactment of complex processes, and ultimately support the repeatability of science. As a result, a number of systems that integrate clouds with these...
Software Defined Networks (SDN) enables flexible flow control by installing policy rules into switches. However, one of the challenges is the dependencies between rules, which is generated due to the rules overlapping in filed space with different priorities. To keep the forwarding correctness and avoid complicated scenarios caused by the asynchronous removal, controllers usually adopt a hard timeout...
Twitter is a globally used micro-blogging platformwith hundreds of millions of tweets sent every day. Manyresearchers have explored Twitter analytics across a wide rangeof areas such as topic modeling, sentiment analysis, eventdetection, as well as the application of Twitter for a variety ofdomain-specific application areas, e.g. disaster management. Onearea that has not been explored is how changes...
Nowadays, more and more data are being generated and collected. This is especially so in our cities. Big data as a popular research topic has brought about a range of new challenges that must to be tackled to support both commercial and research demands. The transport area is one example that has much to benefit from big data capabilities in allowing to process voluminous amounts of data that is created...
Social networking platforms such as Twitter have become a global phenomenon. Net citizens use such services as part of their daily lives. Given this, the opportunities to mine such data resources is of considerable interest to researchers, businesses and government alike. Many researchers have explored the analysis of such resources to support sentiment analysis and event detection amongst many other...
Social media resources such as Twitter provide global services for citizens to express opinions on people, products, events or even themselves. Often this data captures the mood (sentiment) of the tweeter. Accurate and timely extraction of sentiment from such big data can be used for many population-wide business and research scenarios. Whilst a range of sentiment analysis approaches has been taken,...
Protecting (authorizing) access to individual web services has been explored in many research efforts. The focus of such research is to ensure that authorized users with appropriate credentials are able to access resources under controlled and authorized security. However, integrating and/or composing such services, e.g. through workflow environments in collaborative environments, remains an open...
Combined health information and web-based technologies can be used to support healthcare and research activities associated with electronic health records (EHRs). EHRs used for research purposes demand privacy, confidentiality and all information governance concerns are addressed. However, existing solutions are unable to meet the evolving research needs especially when supporting data access and...
Social media is of great significance in modern society and the analysis of Twitter data has shown an increasing trend towards supporting different research efforts, from understanding society to marketing and analysis of organizations. The ubiquity of Twitter with over 2.9million Tweeters in Australia alone means that it can be used for many (potentially unforeseen) activities. In this paper we consider...
Twitter, the popular microblogging platform, has more than five hundred million registered users (Tweeters). These Tweeters generate a large amount of information every day. A big challenge and opportunity that is explored in this paper is to use this information to analyse health events -- ideally in real-time. Such real time information is essential for outbreaks of disease and identifying where...
In recent times, big data has become a popular research topic and brought about a range of new challenges that must be tackled to support many commercial and research demands. The transport arena is one example that has much to benefit from big data capabilities in allowing to process voluminous amounts of data that is created in real time and in vast quantities. Tackling these big data issues requires...
Twitter, the popular microblogging platform, has more than five hundred million registered users -- so called Tweeters. These Tweeters generate a large amount of information every day. This information, whilst noisy and diverse is so voluminous that it can provide a key source of information that can support a range of research activities. Transport and traffic accidents are the examples chosen here...
Many/most of the challenges facing urban researchers and indeed policy makers relate to discovery of, access to and subsequent use of heterogeneous urban data sets. These data are typically held by a myriad of government agencies (local, State and Federal), industry and academic research organisations. The Australian Urban Research Infrastructure Network (AURIN) project commenced in 2010 and was tasked...
The Australian Urban Research Infrastructure Network (AURIN -- www.aurin.org.au) project is a federally funded initiative across Australia that is focused on development and delivery of an advanced Cloud-based platform for research into the many challenges facing the major urban settlements of Australia. AURIN provides direct programmatic (federated) access to a wide range of urban and built environment...
Data collection, access and usage are essential for many forms of collaborative research. E-Health represents one area with much to gain by sharing of data across organisational boundaries. In such contexts, security and access control are essential to protect the often complex, privacy and information governance concerns of associated stakeholders. In this paper we argue that semantic technologies...
Computational bioinformatics workflows are extensively used to analyse genomics data. With the unprecedented advancements in genomic sequence technology and opportunities for personalized medicines, it is essential that analysis results are repeatable by others, especially when moving into clinical environment. To cope with the complex computational demands of huge biological datasets, a shift to...
Collection of clinical information can be a fraught and intimidating process in hospital environments, especially for children with neurological conditions. Gaming and mobile technology offer many potential advantages for data collection where clinically important data can be collected as a side effect of playing games. Niemann-Pick Disease (NPD) is one example of a condition where gaming technology...
Secure cloud storage solutions such as Trust Store, Sec Cloud, HPI Secure, and Twin Cloud have primarily focused on securing persistent data while storing it in public cloud services. Though data sharing has been recognized as an important security feature, these storage solutions mostly focus on three key properties: confidentiality, integrity and availability. Modern enterprise applications demand...
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