612 research outputs found
Modeling of evolving textures using granulometries
This chapter describes a statistical approach to classification of dynamic texture images, called parallel evolution functions (PEFs). Traditional classification methods predict texture class membership using comparisons with a finite set of predefined texture classes and identify the closest class. However, where texture images arise from a dynamic texture evolving over time, estimation of a time state in a continuous evolutionary process is required instead. The PEF approach does this using regression modeling techniques to predict time state. It is a flexible approach which may be based on any suitable image features. Many textures are well suited to a morphological analysis and the PEF approach uses image texture features derived from a granulometric analysis of the image. The method is illustrated using both simulated images of Boolean processes and real images of corrosion. The PEF approach has particular advantages for training sets containing limited numbers of observations, which is the case in many real world industrial inspection scenarios and for which other methods can fail or perform badly. [41] G.W. Horgan, Mathematical morphology for analysing soil structure from images, European Journal of Soil Science, vol. 49, pp. 161–173, 1998. [42] G.W. Horgan, C.A. Reid and C.A. Glasbey, Biological image processing and enhancement, Image Processing and Analysis, A Practical Approach, R. Baldock and J. Graham, eds., Oxford University Press, Oxford, UK, pp. 37–67, 2000. [43] B.B. Hubbard, The World According to Wavelets: The Story of a Mathematical Technique in the Making, A.K. Peters Ltd., Wellesley, MA, 1995. [44] H. Iversen and T. Lonnestad. An evaluation of stochastic models for analysis and synthesis of gray-scale texture, Pattern Recognition Letters, vol. 15, pp. 575–585, 1994. [45] A.K. Jain and F. Farrokhnia, Unsupervised texture segmentation using Gabor filters, Pattern Recognition, vol. 24(12), pp. 1167–1186, 1991. [46] T. Jossang and F. Feder, The fractal characterization of rough surfaces, Physica Scripta, vol. T44, pp. 9–14, 1992. [47] A.K. Katsaggelos and T. Chun-Jen, Iterative image restoration, Handbook of Image and Video Processing, A. Bovik, ed., Academic Press, London, pp. 208–209, 2000. [48] M. K¨oppen, C.H. Nowack and G. R¨osel, Pareto-morphology for color image processing, Proceedings of SCIA99, 11th Scandinavian Conference on Image Analysis 1, Kangerlussuaq, Greenland, pp. 195–202, 1999. [49] S. Krishnamachari and R. Chellappa, Multiresolution Gauss-Markov random field models for texture segmentation, IEEE Transactions on Image Processing, vol. 6(2), pp. 251–267, 1997. [50] T. Kurita and N. Otsu, Texture classification by higher order local autocorrelation features, Proceedings of ACCV93, Asian Conference on Computer Vision, Osaka, pp. 175–178, 1993. [51] S.T. Kyvelidis, L. Lykouropoulos and N. Kouloumbi, Digital system for detecting, classifying, and fast retrieving corrosion generated defects, Journal of Coatings Technology, vol. 73(915), pp. 67–73, 2001. [52] Y. Liu, T. Zhao and J. Zhang, Learning multispectral texture features for cervical cancer detection, Proceedings of 2002 IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 169–172, 2002. [53] G. McGunnigle and M.J. Chantler, Modeling deposition of surface texture, Electronics Letters, vol. 37(12), pp. 749–750, 2001. [54] J. McKenzie, S. Marshall, A.J. Gray and E.R. Dougherty, Morphological texture analysis using the texture evolution function, International Journal of Pattern Recognition and Artificial Intelligence, vol. 17(2), pp. 167–185, 2003. [55] J. McKenzie, Classification of dynamically evolving textures using evolution functions, Ph.D. Thesis, University of Strathclyde, UK, 2004. [56] S.G. Mallat, Multiresolution approximations and wavelet orthonormal bases of L2(R), Transactions of the American Mathematical Society, vol. 315, pp. 69–87, 1989. [57] S.G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, pp. 674–693, 1989. [58] B.S. Manjunath and W.Y. Ma, Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, pp. 837–842, 1996. [59] B.S. Manjunath, G.M. Haley and W.Y. Ma, Multiband techniques for texture classification and segmentation, Handbook of Image and Video Processing, A. Bovik, ed., Academic Press, London, pp. 367–381, 2000. [60] G. Matheron, Random Sets and Integral Geometry, Wiley Series in Probability and Mathematical Statistics, John Wiley and Sons, New York, 1975
Abstraction, experience, reduction : time and periodicity in the work of Myron Stout and postwar American art history
This dissertation is the first full-career study of the American painter Myron Stout (1908- 1987). Stout is best known for a series of small black and white abstract paintings he made between 1955 and 1980. He is most often associated with American hard-edge painting of the early 1960s, the movement which set the stage for Minimalism. However, Stout’s work predates hard-edge painting in an important way, namely that he developed it as an extension of Abstract Expressionism. Stout intended the reduced palette, simplified shapes, and absence of gestural marks in his paintings to be effective containers for an expression of lived experience.
Stout confounds typical art historical narratives in other ways. He was introduced to modernism in the 20s, but did not begin his life as a painter until the late 1940s. In an era of high production he made very few paintings—about fifteen over twenty-five years. His work “predicts” some of the issues that emerged in Minimalism, but by the mid-1960s Stout appeared very much a 50s artist. Whilst seemingly a die-hard, purist painter, his artistic milieu included artists innovating very different kinds of practices, from Happenings and Pop to realist painting. Finally, from today’s perspective, Stout is a lesser-known artist, but he is and was nonetheless an insider in terms of his education and his artistic contacts.
By addressing the practice of a single artist, this dissertation demonstrates that even in the face of newer, more inclusive methodologies, recent histories Abstract Expressionism and Minimalism still have problems with inclusivity, indeed depend to a large degree on narrow views. The approach here is to illuminate moments where Stout’s history collides with conventional period-histories. Using Stout’s chronological age in addition to his interface with the art world, it takes a longer view of his career, addressing early and late parts of his life. Stout's continuity through these periods raises questions about how models of périodisation continue to drive the way art history is written
Transitions to tertiary education: Measuring and minimising inequality between private and public school students in a university outreach program
Much of the literature concerned with evaluating public and private schooling focuses upon year 12 examination results. Investigating the transition to university, some studies have compared these results with first-year university marks. Very few researchers, however, have looked beyond students’ marks. This paper examines how “school type” affects student performance, participation, and experience in a university outreach program – SmARTS. SmARTS is run through The University of Western Australia’s (UWA) Faculty of Arts, Humanities, and Social Sciences (FAHSS). It engages year 11 students in a six-month research project, facilitated by the use of both e-learning and more traditional face-to-face methods. This paper is based on research that evaluated the 2009, 2010, and 2011 programs. The methods employed include analyses of student completion rates and results, as well as 198 student surveys, ten school coordinator surveys, and three group interviews with tutors. Based on schools’ socio-economic backgrounds, fees, and examination results, we have divided schools into four types: top-tier private, second-tier private, top-tier public, and second-tier public. Our findings suggest that top-tier private and top-tier public school students have the highest levels of participation, the lowest drop-out rates, and gain the highest results in SmARTS, while the opposite is evident for second-tier public school students. We also found, however, that second-tier public school students reported to have gained more generic skills from the program than did other groups. Our findings suggest that analysing examination results provides only a limited picture of how students experience the transition to university. We argue that through research and practice such as ours, inequalities can be more accurately measured, and thus minimised, before students enter university
Psychosexual Consequences of Traumatic Brain Injury for Victims and Their Partners
The psychosexual consequences of traumatic brain injury (TBI) are reviewed. The resulting review demonstrates a complicated interaction between psychosocial and emotional factors. Previous studies have focussed on the relatives and carers point of view rather than that of the patient. When patients have been included, the studies have been almost exclusively of male patients. Following from this, future ideas for research are outlined
Digital Dexterity: A Sustainable Model for Building Essential Skills for the Future Workforce
The importance of digital dexterity in achieving institutional and business missions led the Council of Australian University Librarians (CAUL) to establish a Digital Dexterity Program in 2018. The aim of the CAUL Program was to ascertain the current state of play of digital literacies at member institutions and to establish best practice principles for developing the skills and understandings necessary for staff and students to become effective global citizens and lifelong learners. The Program consisted of three project teams tasked with developing resources that would provide: a framework for the development of digital dexterity skills, tools to assist CAUL members to improve their capability in digital dexterity, and a strategy and means to engage with stakeholders and advocate on digital dexterity.
CAUL’s approach with the Digital Dexterity Program is unique in that it was practitioner-led, and involved industry engagement, particularly around the sustainability of the model. Each team consisted of CAUL member library staff with a passion for enabling and empowering staff and students through the development of digital dexterity skills. Team members were drawn from 14 institutions across six Australian states and territories and this collaborative work has enabled the development of a truly national approach. The grass-roots engagement included consultation with industry stakeholders outside of CAUL, including the Australian Academic and Research Network (AARNet), CAVAL and the Australian Research Data Commons. The Digital Dexterity Program, (launched in February 2019) included a Digital Dexterity Framework, and the establishment of a Community of Practice, which will ensure the continued development and sustainability of the program
Correlation of Clinical Neuromusculoskeletal and Central Somatosensory Performance: Variability in Controls and Patients With Severe and Mild Focal Hand Dystonia
Focal hand dystonia (FHd) is a recalcitrant,
disabling movement disorder, characterized by
involuntary co-contractions of agonists and
antagonists, that can develop in patients who
overuse or misuse their hands. The aim of this
study was to document clinical neuromusculoskeletal
performance and somatosensory
responses (magnetoencephalography) in healthy
controls and in FHd subjects with mild versus
severe hand dystonia. The performance of
healthy subjects (n = 17) was significantly better
than that of FHd subjects (n = 17) on all clinical
parameters. Those with mild dystonia (n = 10)
demonstrated better musculoskeletal skills,
task-specific motor performance, and sensory
discrimination, but the performance of sensory
and fine motor tasks was slower than that of
patients with severe dystonia. In terms of
somatosensory evoked field responses (SEFs),
FHd subjects demonstrated a significant
difference in the location of the hand
representation on the x and y axes, lower
amplitude of SEFs integrated across latency,
and a higher ratio of mean SEF amplitude to
latency than the controls. Bilaterally,. those with
FHd (mild and severe) lacked progressive
sequencing of the digits from inferior to
superior. On the affected digits, subjects with
severe dystonia had a significantly higher ratio
of SEF amplitude to latency and a significantly
smaller mean volume of the cortical hand
representation than those with mild dystonia.
Severity of dystonia positively correlated with
the ratio of SEF mean amplitude to latency
(0.9029 affected, 0.8477 unaffected; p<0.01).
The results of the present study strengthen the
evidence that patients with FHd demonstrate
signs of somatosensory degradation of the hand
that correlates with clinical sensorimotor
dysfunction, with characteristics of the dedifferentiation
varying by the severity of hand
dystonia. If these findings represent aberrant
learning, then effective rehabilitation must
incorporate the principles of neuroplasticity.
Training must be individualized to each patient
to rebalance the sensorimotor feedback loop
and to restore normal fine motor control
Mapping Qualifications Frameworks across APEC Economies
This report on qualification frameworks was undertaken for the Asia-Pacific Economic Cooperation (APEC) Human Resources Development Working Group (HRDWG) Education Network Subgroup (EDNET). The project aimed to facilitate increased transparency and reliability of information about qualification frameworks across the APEC region, share knowledge and skills and identify future areas of collaboration. A qualifications framework is an instrument for classifying qualifications according to a set of criteria for levels of learning outcomes. Considerable benefits are expected of national qualification frameworks (NQFs). If backed by a good system of quality assurance, they can support the development of workers’ skills, facilitate educational and labour market mobility, and help improve the access of individuals to higher and different levels of education and training over their lives. Education and training providers and authorities are able to design more consistent and linked qualifications when descriptors of qualifications are developed within NQFs. Employers benefit in their recruitment and training of staff when they can understand and have confidence in qualifications. The international recognition of an economy’s qualifications can be enhanced by the transparency of qualifications to which an NQF can contribute. This report is based on desktop analysis of qualification frameworks, contacts made by members of the project team and on a survey of APEC member economies carried out in the project
Work Performance and Participation of Individuals During the COVID- 19 Pandemic: An Evidence-Based Practice Project
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Predicting and Detecting Arm Motor Gains in a Trial of Robotic Therapy
Biomarkers of Rehabilitation Therapy Vary According To Stroke Severity
Biomarkers that capture treatment effects could improve the precision of clinical decision making for restorative therapies. We examined the performance of candidate structural, functional,and angiogenesis-related MRI biomarkers before and after a 3-week course of standardized robotic therapy in 18 patients with chronic stroke and hypothesized that results vary significantly according to stroke severity. Patients were 4.1 ± 1 months poststroke, with baseline arm Fugl-Meyer scores of 20–60. When all patients were examined together, no imaging measure changed over time in a manner that correlated with treatment-induced motor gains. However, when also considering the interaction with baseline motor status, treatment-induced motor gains were significantly related to change in three functional connectivity measures: ipsilesional motor cortex connectivity with (1) contralesional motor cortex (p = 0 003), (2) contralesional dorsal premotor cortex (p = 0 005), and (3) ipsilesional dorsal premotor cortex (p = 0 004). In more impaired patients, larger treatment gains were associated with greater increases in functional connectivity, whereas in less impaired patients larger treatment gains were associated with greater decreases in functional connectivity. Functional connectivity measures performed best as biomarkers of treatment effects after stroke. The relationship between changes in functional connectivity and treatment gains varied according to baseline stroke severity. Biomarkers of restorative therapy effects are not one-size-fits-all after stroke
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