Search results

In visual-based applications, lighting conditions have a considerable impact on quality of the acquired images. Extremely low or high illuminated environments are a real issue for a majority of cameras due to limitations in their dynamic range. Indeed, over or under exposure might result in loss of essential information because of pixel saturation or noise. This can be critical in computer vision applications. High dynamic range (HDR) imaging technology is known to improve image rendering in such conditions. The purpose of this paper is to investigate the level of performance that can be achieved for feature detection and tracking operations in images acquired with a HDR image sensor.

In this study, four different feature detection techniques are selected and tracking algorithm is based on the pyramidal implementation of Kanade-Lucas-Tomasi (KLT) feature tracker. Tracking algorithm is run over image sequences acquired with a HDR image sensor and with a high resolution 5 Megapixel image sensor to comparatively assess them.

The authors demonstrate that tracking performance is greatly improved on image sequences acquired with HDR sensor. Number and percentage of finally tracked features are several times higher than what can be achieved with a 5 Megapixel image sensor.

The specific interest of this work focuses on the evaluation of tracking persistence of a set of initial detected features over image sequences taken in different scenes. This includes extreme illumination indoor and outdoor environments subject to direct sunlight exposure, backlighting, as well as dim light and dark scenarios.

In recent years, fast urban expansion in China has stimulated rapid energy consumption growth and increased environmental pollution. Therefore, it is important to utilize clean and renewable energy in district heating for the sustainable urban development. This study aimed to investigate the environmental and economic impacts of one hot dry rock (HDR) geothermal energy-based heating system in a life cycle framework.

By using the input–output-based life cycle analysis model, the energy consumption, CO₂ emission and other pollutants of the HDR-based heating system were evaluated and then compared with those of other four heating systems based on burning coal or natural gas. The life cycle costs of the HDR-based heating system were also analyzed.

The results showed that using HDR geothermal energy for heating can significantly reduce fossil fuel consumption, CO₂ emission as well as environmental pollution, and its life cycle costs are also competitive.

This study not only evaluated the environmental and economic impacts of the HDR-based heating system in a life cycle framework but also provided a methodological life cycle assessment framework that can estimate both economic and environmental benefits, which can be used in policy making for China’s urban development.

Whilst there has been some growth in the number of Indigenous Australians completing Higher Degree Research (HDR) over the past decade, the parity rate remains significantly behind that of other domestic Australian students. The bulk of research which investigates strategies to improve Indigenous Higher Education participation and completion tends to focus on undergraduate students, leaving a significant void of knowledge in how the sector can better cater for, and support, Indigenous postgraduate students.

This chapter proposes a set of strategies to seed the success of Indigenous HDR students. It draws on the findings of three separate studies undertaken during 2006 to 2013 in order to provide a detailed overview of the current challenges Indigenous HDR students regularly face.

It outlines various support mechanisms available to this cohort as well as those that are desired, but not necessarily available. An important component of the chapter is the inclusion of the voices of Indigenous Australians who were undertaking their postgraduate studies at the time they were interviewed, as well as a group of Indigenous Australians who had successfully completed their doctoral degrees. Through generously sharing their postgraduate experiences, participants provided important insight into this area which remains significantly under-investigated.

Higher degree by research (HDR) graduates are often perceived to be overly specialised and are unable to adapt to non-academic settings (Jaeger and Rudra, 2013). Universities are under increasing pressure to embed research and transferrable skills into the candidature in a flexible and meaningful way to equip graduates with the skills to succeed in a range of careers. The paper aims to study how Flinders University has embedded the Research and Employability Skills Training (REST) Program into the HDR.

REST was established to replace the workshop-based professional development program, with a structured, compulsory, comprehensive program for HDR students, based on the Vitae Researcher Development Framework (RDF). The Program aims to provide students with the research skills they need to complete their studies and the transferrable skills employers seek, through an online, supported program that helps them identify their needs, plan and control their skills development. Such a comprehensive online candidature management system has enabled Flinders to implement the RDF and successfully and comprehensively embed REST into the HDR candidature, assisting students to articulate and demonstrate their skills with documented evidence.

The Program has been running for one year, and so far, has been successful. Students are increasingly completing the initial online Skills Needs Analysis assessment component, which helps to identify their skills gaps and recommend workshops to meet their needs. Supervisors and students are engaging with the Program through structured discussion and refection of skills at each annual milestone, thanks to the help of the Inspire online candidature management system.

REST is a valuable resource for HDR students, providing them with a range of skills to progress with their research, writing and professional development training that complements, but is separate from, their degree. Providing a structured training program which follows and supports students’ candidature, and is based around the training needs and career trajectories of the student assists the students be more equipped and supported to complete on time and are well prepared for a range of career outcomes.

This paper presents a model designed to evaluate the competitiveness potential of the Latin American countries and to compare the resulting rankings with the four more widely used assessment measures of a country's competitiveness, which will in turn influence its market attractiveness for investment purposes. Included here are those produced by the World Competitiveness Report, Euromoney, Institutional Investor and the Human Development Report. The proposed model is meant to assist businesses and governments in making investment location decisions for the Latin American countries.

The purpose of this paper is to compare the emotional competence of first year undergraduates enrolled on a high or low drop‐out rate (HDR and LDR, respectively) course, at a newly established university within the UK.

A mixed methods approach using both quantitative and qualitative data collection methods was used. The Trait Emotional Intelligence Questionnaire (TEIQue) established participants' emotional competence, and semi‐structured interviews were used to probe the findings from the TEIQue.

The results indicate that typical HDR course participants have high self‐esteem and a good level of interpersonal skills, but are controlled by their emotions and exhibit an external locus of control. This manifests itself in a distrust of peers as a source of support and a reactive attitude to self‐improvement. Typical LDR course participants have low self‐esteem and a good level of intrapersonal skills, but have developed the ability to control their emotions and exhibit an internal locus of control. This manifests itself in a high level of confidence in peers as a source of support and a proactive attitude to self‐improvement.

The paper contributes to the learning styles literature by investigating the impact of students' characteristic affective behaviours on their vulnerability to drop‐out.

Achieving quality standards in postgraduate education, particularly among Higher Degree by Research (HDR) students, can be challenging. In addition to the diverse educational and cultural backgrounds of these students, thesis writing frequently involves the development of new skills associated with the comprehension of a large volume of information, critical analysis and the development of an academic writing style. Many students need support in one or all of these key areas. Universities currently provide a number of different writing support activities to address students' needs. The purpose of this study is to report on a writing support intervention that employed a specialist in academic writing to support HDR students in the business faculty.

Following a two‐year period, the intervention was evaluated to assess the appropriateness and effectiveness of this support using qualitative methods. The results of this study are presented and discussed from different angles. First, a lecturer in academic writing support outlines her observations and reflection on the value of individual consultations and students' progress. Second, the attitudes and experience of students and their supervisors to this service are discussed. This is followed by the faculty senior management view with regard to the effectiveness and efficiency of this service.

This research found that both students and their supervisors expressed satisfaction with the service offered. Also it was found that the writing quality of submitted theses is improving; the costs of thesis editing have reduced; HDR students appear to be more satisfied with and confident of their academic writing; the attractiveness of the PhD program has been enhanced, as judged by the increase in PhD enquiries and the quality of potential applicants.

The results reported here indicate that the intervention was successful. However, the sample size was relatively small and the HDR candidates and supervisors were drawn from only one faculty in one university.

The study provides some recommendations that could be taken into account by senior management and academic staff in order to set up and deliver a faculty‐based writing support service for HDR students, which would bring benefits to students, their supervisors, faculties and universities.

The value of this research is that the writing program was proven to be beneficial for universities to support research students in the development of their writing skills, which in turn, could improve the quality of thesis and ensure on time completion.

Although a laser profile sensor (LPS) can be used to measure dimensions, the “shadow region” generally degrades the accuracy and precision of width measurements. The accuracy and precision of such measurements should be improved.

In this paper, the authors propose herein a technique that combines high dynamic range (HDR) imaging with logistic fitting. First, a HDR image is composed of several images acquired with different exposure times, which augments the grayscale of the object profile and significantly reduces overexposure. Next, the profile is fit to a logistic function, which provides accurate and precise edge coordinates. Finally, given the edge coordinates, the object width is calculated.

To verify the stability of this logistic algorithm, the authors simulate different noise conditions and different degrees of incomplete edge data. In addition, the progressiveness of the algorithm is demonstrated by comparing the results with those of other algorithms and with the height measurement. Furthermore, the suitability of the system is verified experimentally.

Because of the limitation of the condition of laboratory, in the experimental section, this paper cannot represent perfectly the industrial situation. It makes this section limited in demonstration.

In this paper, the results show that the measurement accuracy and precision of the width is improved and exceeds that of the height measurement. The proposed HDR imaging method with logistic fitting may be applied to LPS width measurements, which should significantly aid the development of LPSs.

The Higher Degree Research (HDR) journey is known for its difficulties, complexities and challenges (Lees-Deutsch, 2020), with many students experiencing multi-faceted issues and concerns (Skopek et al., 2020). Therefore, the purpose of this research is to investigate the relationships that exist between variables, vulnerability factors and doctorial capital of candidates (n = 532) studying at Australian universities (2019).

A quantitative cross-sectional correlational research design and Bronfenbrenner's socio – ecological framework (personal, home, university, community) was utilised to collect participants' (n = 532) descriptive statistics. Bourdieu's social reproduction theory was used as a lens to examine how experiences, across the PhD candidature, are influenced by several psychosocial factors and doctoral capital.

From such a dual methodological approach, the findings from this study suggests that (1) age, (2) gender, (3) nationality, (4) financial/work status, (5) years of PhD and (6) attending postgraduate (PG) student events, go to significantly (p < 0.001) impact (positively and negatively) on students' experiences and correspondingly, impacts on their self-confidence, motivation and mental health and well-being status.

Research limitations are related to the recruitment of more doctoral students across more Australian universities. Further research is required from HDR supervisors, so as to “balance” the experiences of the PhD journey in higher education.

In order to succeed in academia and HDR programs, students need to identify with and develop the “right kind of capital” to successfully navigate fields of social and scholarly play. Investigating how the participants perceive their social and scholarly habitus is seen as crucial in helping students to develop positive dispositions relevant to being a doctoral student.

The concept of doctoral capital and well-being, amongst Australian PhD students, is under researched and requires further investigation as a precursor to developing more specific policy designs aimed at providing heightened positive learning environments/HDR programs tailored to support doctoral students.

Whilst reforms to improve PhD experiences are well established across the international literature (Geven et al., 2018; Skopek et al., 2020), evidence for Australia is largely missing. It is envisaged, that findings from this research will further assist in the development of quality policies that would go to provide effective services and support for doctoral students within Australian universities.