Identifying inorganic material affinity classes for peptide sequences based on context learning

There is a growing interest in identifying inorganic material affinity classes for peptide sequences due to the development of bionanotechnology and its wide applications. In particular, a selective model capable of learning cross-material affinity patterns can help us design peptide sequences with desired binding selectivity for one inorganic material over another. However, as a newly emerging topic, there are several distinct challenges of it that limit the performance of many existing peptide sequence classification algorithms. In this paper, we propose a novel framework to identify affinity classes for peptide sequences across inorganic materials. After enlarging our dataset by simulating peptide sequences, we use a context learning based method to obtain the vector representation of each amino acid and each peptide sequence. By analyzing the structure and affinity class of each peptide sequence, we are able to capture the semantics of amino acids and peptide sequences in a vector space. At the last step we train our classifier based on these vector features and the heuristic rules. The construction of our models gives us the potential to overcome the challenges of this task and the empirical results show the effectiveness of our models.

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

High-dimensional problem domains pose significant challenges for anomaly detection. The presence of irrelevant features can conceal the presence of anomalies. This problem, known as the '. curse of dimensionality', is an obstacle for many anomaly detection techniques. Building a robust anomaly detection model for use in high-dimensional spaces requires the combination of an unsupervised feature extractor and an anomaly detector. While one-class support vector machines are effective at producing decision surfaces from well-behaved feature vectors, they can be inefficient at modelling the variation in large, high-dimensional datasets. Architectures such as deep belief networks (DBNs) are a promising technique for learning robust features. We present a hybrid model where an unsupervised DBN is trained to extract generic underlying features, and a one-class SVM is trained from the features learned by the DBN. Since a linear kernel can be substituted for nonlinear ones in our hybrid model without loss of accuracy, our model is scalable and computationally efficient. The experimental results show that our proposed model yields comparable anomaly detection performance with a deep autoencoder, while reducing its training and testing time by a factor of 3 and 1000, respectively.

Real time cyber attack analysis on Hadoop ecosystem using machine learning algorithms

Big Data technologies are exciting cutting-edge technologies that generate, collect, store and analyse tremendous amount of data. Like any other IT revolution, Big Data technologies also have big challenges that are obstructing it to be adopted by wider community or perhaps impeding to extract value from Big Data with pace and accuracy it is promising. In this paper we first offer an alternative view of «Big Data Cloud» with the main aim to make this complex technology easy to understand for new researchers and identify gaps efficiently. In our lab experiment, we have successfully implemented cyber-attacks on Apache Hadoop's management interface «Ambari». On our thought about «attackers only need one way in», we have attacked the Apache Hadoop's management interface, successfully turned down all communication between Ambari and Hadoop's ecosystem and collected performance data from Ambari Virtual Machine (VM) and Big Data Cloud hypervisor. We have also detected these cyber-attacks with 94.0187% accurateness using modern machine learning algorithms. From the existing researchs, no one has ever attempted similar experimentation in detection of cyber-attacks on Hadoop using performance data.

Responding to the widening participation agenda through improved access to and within 3D virtual learning environments

The Australian Government's widening participation agenda - also referred to as the social inclusion agenda - considers equity through the triple focus of access, participation and outcomes. These foci are catalysts for re-examining teaching and learning approaches in formal education. This article considers this national refocus and the possibilities for addressing access and equity issues through and within threedimensional virtual learning environments (3DVLEs). The findings of an Australian Learning and Teaching Council (ALTC)-funded project that investigated the potential of an accessible 3DVLE for increasing access and participation of students with disabilities are reported, and strategies for improving outcomes (i.e. retention, success and completion) proposed. The article also highlights some of the remaining challenges with regard to the goal of improving outcomes for under-represented learner groups. The final section of the article identifies areas for further research.

Composing, performing, and reflecting: teaching and learning in higher education

This case study adds to a growing body of literature that focuses on preparing generalist teachers in music education for the primary classroom. As part of my wider research on “Pre-service teacher attitudes and understandings of Music Education,” this paper situates itself within the Bachelor of Education (Primary) teacher education course at a university in Melbourne (Australia). Drawing on student questionnaire data, observation notes, and anecdotal feedback gathered in May 2015, I discuss student understandings and perceptions of music teaching and learning in a core unit (Primary Arts Education: Music Focused Study). This paper highlights the opportunity and challenges of music composition and performance as a group assessment task. The findings show that student confidence and competence improved through the creative music process. It can be argued that music teaching and learning in a pre-service teacher context is most effective when composition, performance, listening, and reflection are interconnected. Follow up research need to be undertaken in relation to how students use songs and group work to foster creativity in their future classrooms. Limitations of the study are acknowledged and generalizations cannot be made to other pre-service teacher courses in Australia

Beyond construction…..A cross-disciplinary approach to improved learning and teaching in built environment degrees

More than 3.4 million people die each year from water, sanitation and hygiene-related causes. Lack of access to clean water and sanitation kills those most vulnerable in the third world. Leadership in managing cross-disciplinary teams is required to present economical, viable community-based solutions. This project utilised the skills of undergraduates across different disciplines of construction, project management, engineering, design, and communication, to work alongside industry mentors in a team to design, build and present an innovative, sustainable water sanitation solution for a Bangladesh community. The semester-long project enabled undergraduate students to develop skills in client relationships, teamwork, and communication as well as discipline skills of project management and construction. The real-world problem necessitated a paradigm shift away from discipline-based knowledge transference towards skills for the future. The project utilised approaches such as negotiated curriculum and assessment; self-directed, flexible participation in learning; use of social media as a learning tool and cross-disciplinary teamwork. Results from student surveys and interviews indicate that this project directly enhanced students’ work-readiness skills and recognition of the importance of problem solving using cross-disciplinary understandings. Students reported greater self-confidence for tackling future workplace challenges. The results also illustrate strong levels of student satisfaction with the cross-disciplinary approach and the importance of skills in client relationships. The project and its outcomes have implications for how learning and teaching occurs in built environment disciplines and has the potential to create significant impact on the calibre of future built environment graduates.

Collaborative learning experience of students in distance education

Educational institutions recognised that the distance education mode is a preferred way to combine study with life, family and work commitments for distance learners. Distance education has played an important role in the provision of educational equity for distance learners who live in remote Australian communities. Engaging students and academic staff will always enhance student-learning outcomes to ensure a positive experience in distance education. It can be effectively achieved through collaborative learning. In distance education, academic staff and students face a number of challenges such as lack of student motivation, high student attrition rates, and a sense of isolation from a university community. Collaborative learning experience will enhance learner-staff and learner-learner interactions in distance learning, which can be achieved through developing a learning process. The learning process for distance learners involves student-learning strategy, Staff interactive sessions, peer-to-peer support, e-assessment, and self-realization of graduate learning outcomes. This distance learning process is confined for Deakin University learning environment, however the expectations is that the distance learning will be more mainstream in future of learning and teaching in Australian institutions. The focus of this research is to analyse and share collaborative learning experience of distance learners (off-campus) students in project management unit. It helps to analyse the barriers in distance education and finding ways to initiate collaborative programs in future. It also helps to fulfil the distance learners’ expectations on program delivery.

Inequalities and agencies in workplace learning experiences: international student perspectives

National systems of vocational education and training around the globe are facing reform driven by quality, international mobility, and equity. Evidence suggests that there are qualitatively distinctive challenges in providing and sustaining workplace learning experiences to international students. However, despite growing conceptual and empirical work, there is little evidence of the experiences of these students undertaking workplace learning opportunities as part of vocational education courses. This paper draws on a four-year study funded by the Australian Research Council that involved 105 in depth interviews with international students undertaking work integrated learning placements as part of vocational education courses in Australia. The results indicate that international students can experience different forms of discrimination and deskilling, and that these were legitimised by students in relation to their understanding of themselves as being an ‘international student’ (with fewer rights). However, the results also demonstrated the ways in which international students exercised their agency towards navigating or even disrupting these circumstances, which often included developing their social and cultural capital. This study, therefore, calls for more proactively inclusive induction and support practices that promote reciprocal understandings and navigational capacities for all involved in the provision of work integrated learning. This, it is argued, would not only expand and enrich the learning opportunities for international students, their tutors, employers, and employees involved in the provision of workplace learning opportunities, but it could also be a catalyst to promote greater mutual appreciation of diversity in the workplace.

Anytime and anywhere: a case study for blended learning

Using live streaming with blended learning helps engage off- and on campus students in real time and enhances the off-campus experience by incorporating synchronous activities in addition to the usual asynchronous interactions. Research into the effective use of blended learning frameworks offers opportunities to create course experiences that are personal, relevant, and engaging. Challenges include integrating appropriate technology and managing it effectively throughout the course. Results from practical experiments will likely guide future learning and teaching endeavors using technology for inclusive, interactive, and collaborative learning for on- and off-campus students.

Combating cyber attacks in cloud computing using machine learning techniques.

An extensive investigative survey on Cloud Computing with the main focus on gaps that is slowing down Cloud adoption as well as reviewing the threat remediation challenges. Some experimentally supported thoughts on novel approaches to address some of the widely discussed cyber-attack types using machine learning techniques. The thoughts have been constructed in such a way so that Cloud customers can detect the cyber-attacks in their VM without much help from Cloud service provider

Three dimensional printing as a way to create an engaging and meaningful context for learning

Three-dimensional (3D) printers are now commonplace in both primary and secondary schools within Australia. As with most new technologies they present a range of challenges to users in terms of technical problems and support, and how to integrate their use into the curriculum in a meaningful way. This research reports on data from a small number of Victorian primary schools from urban and regional areas. A case study methodology has been used to examine how each setting has approached the use of these printers and includes a review of the literature concerning the uptake of new technologies by non-experts. Data include interview transcripts from teachers, principals and technicians and photographic artefacts of 3D printed objects. Teachers reflected on their reasoning behind lesson plans and their aspirations for future use of 3D printers in the classroom. Some of the issues identified were teacher confidence, time to ‘play’ with and become familiar with 3D printers; and technical challenges that arose such as the time taken to print an object and clogging of printer extruders (heads). Recommendations are made concerning possible ways forward.

Assessing students’ experiences in a virtual learning environment

CONTEXTTechnology has played an important role in the provision of educational equity for learners inAustralian communities. Engaging off-campus students through technology resources is vital for avirtual learning environment in engineering education. To ensure a positive experience for thestudents in off-campus (virtual) learning, the use of modern technology is crucial for collaborative andactive learning.PURPOSEDesign based education is a combination of project based and problem based approaches. Throughsmall or big projects, students work in teams with combinations of off-campus and on-campusstudents. Integration of technology resources takes place within these groups through collaborativelearning and active learning. Even though the facilities and technology support are provided for offcampusstudents, there is always a gap in fulfilling the off-campus students’ learning expectations in avirtual learning environment. Technology plays an important role in providing student engagement insolving design problems, which is a need for the distance learner community in future. The purpose ofthis study is to evaluate students’ experiences on the use of technology in learning and teaching,which is delivered in off-campus mode.APPROACHThe cohorts of students involved in this online survey are from first year undergraduate engineering inTrimester 2, 2016. The online survey analysis of students’ perceptions will help teaching staff to betterunderstand and assess off-campus students’ experiences, challenges and barriers in a virtual learningenvironment.RESULTSThe distance learners’ experiences are analysed from an online survey. This online survey analysesthe students’ experiences on use of technology and how it supports and enhances students learning indistance mode. It also analyses the student learning experiences on project/design-based learningapproach in engineering. In this particular unit (Electrical Systems), students work in teams of 2-3 onlab work and other assignments. The analysed results also discuss the students’ perceptions onteamwork, communication, interaction and assessment.CONCLUSIONSThe aim of the engineering curriculum is to provide learning and teaching support equally for both oncampusand off-campus students. From the analysed survey results, this study reveals that the use oftechnology plays a vital role in students learning from availability and accessibility of materials toassessment methods, lab tutorials, and online seminars. In a project/design based learningcurriculum, the distance learners have an equal opportunity to enhance the learning skills as the oncampusstudents experience in a study environment.