A quadtree driven image fusion quality assessment

In this paper a new method to compute saliency of source images is presented. This work is an extension to universal quality index founded by Wang and Bovik and improved by Piella. It defines the saliency according to the change of topology of quadratic tree decomposition between source images and the fused image. The saliency function provides higher weight for the tree nodes that differs more in the fused image in terms topology. Quadratic tree decomposition provides an easy and systematic way to add a saliency factor based on the segmented regions in the images.

Service quality assessment in provision of library services

Libraries are dynamic organization providing dynamic services to their patrons. However, advances in IT and networking have created a serious competition to libraries from many information service provisioning agents. The purpose of this study is to understand the issue relevant to service quality assessment in libraries and subsequently develop a conceptual model of aligning library quality of service assessment for effective reporting of library value and performance to stakeholders. In this paper, we will focus on the provision of library services and the nature of the relationship and interactions between various components of library services.

Information quality assessment in Korean manufacturing organization

Information quality is a complex problem. Issues relating to information quality are strongly embedded in the context of the operations of information systems. Information quality issues, therefore, have qualitative as well as quantitative underpinnings, which affect on the various dimensions of information quality. In order to improve information quality, it is essential to assess its various dimensions. This assessment provides the gaps that work as the building blocks for improving quality of information. However, assessing information quality dimensions is extremely intricate because each dimension depends upon other dimensions, which makes it difficult to objectively assess these dimensions. This research utilizes a product perspective of information and applies Six-Sigma methodology to assess information quality. It describes a case study of a Korean manufacturing organization where analytical hierarchy process and quality function deployment was utilized to determine the mutual relationships of information quality dimensions and critical to information quality factors.

Quality assessment in private practice : the clinician as service provider

Assessment of quality in the private practice setting may be difficult. The author has taken the view that service delivery is a key outcome of private clinician practice. A method of assessing service delivery in a private consultant physician practice setting is described.

Digital library service quality assessment model

With the introduction of digital library services, the quality of service (QoS) has become paramount importance for evaluating the performance of the digital library service provisioning. Various models and frameworks have been proposed to evaluate digital library QoS. However, the prevalent research concentration in QoS for digital library is on the dimensions of the perspective of users’ perception. In this paper, we address the same research problem from a different dimension which is from the perspective of the digital service providers. To this end, we propose a new model suitable for evaluating the performance of digital library services. We argue that the level of QoS provided by the digital service providers have direct impact on the perception and satisfaction of the digital service end-users.

Prosthetic motor imaginary task classification based on EEG quality assessment features

Brain Computer Interface (BCI) plays an important role in the communication between human and machines. This communication is based on the human brain signals. In these systems, users use their brain instead of the limbs or body movements to do tasks. The brain signals are analyzed and translated into commands to control any communication devices, robots or computers. In this paper, the aim was to enhance the performance of a brain computer interface (BCI) systems through better prosthetic motor imaginary tasks classification. The challenging part is to use only a single channel of electroencephalography (EEG). Arm movement imagination is the task of the user, where (s)he was asked to imagine moving his arm up or down. Our system detected the imagination based on the input brain signal. Some EEG quality features were extracted from the brain signal, and the Decision Tree was used to classify the participant's imagination based on the extracted features. Our system is online which means that it can give the decision as soon as the signal is given to the system (takes only 20 ms). Also, only one EEG channel is used for classification which reduces the complexity of the system which leads to fast performance. Hundred signals were used for testing, on average 97.4% of the up-down prosthetic motor imaginary tasks were detected correctly. This method can be used in many different applications such as: moving artificial limbs and wheelchairs due to it's high speed and accuracy.

Signal processing for automated EEG quality assessment

An automated signal quality assessment method was proposed for the EEG signals, which will help in testing new BCI algorithms so that the testing can be made on high quality signals only. This research includes the development of novel feature extraction technique and a new clustering algorithm for EEG signals.

Assessment of wilderness quality using the analytic hierarchy process

Wilderness is a unique environmental resource that provides a multitude of use and non-use benefits. The use and management of wilderness depend on the assessment of wilderness quality. Current wilderness assessment in Australia is based on two broad criteria, the remoteness and naturalness of the wilderness, determined using geographic information systems. This paper discusses a complementary assessment method using the Analytic Hierarchy Process (AHP). The AHP can be used to incorporate additional criteria, such as social and cultural criteria, to improve the quality of wilderness assessment. It provides a flexible and compatible method for large-scale wilderness assessments with multiple criteria. The weighting factors for the different criteria can be obtained from expert panels and focus groups.

Feeding back and enhancing authentic learning in quality course assessment design : locating information systems education in rigorous educational research

Locating information systems education foursquare within rigorous and substantial educational research is crucial if the discipline is to receive the scholarly attention that it warrants. One way to do that is to highlight how current information systems course design in Australian undergraduate and postgraduate programs exhibits the strongest possible elements of contemporary learning theories. This paper analyses selected features of the design of an information systems postgraduate course in an Australian university, including the use of peer review of journal entries and writing professional reports to enhance authentic learning and maximise quality assessment design. The analysis is framed by the principles of instructional design theory (Snyder 2009). The authors argue that, by demonstrating theoretically grounded and effective educational practice, the course highlights the value of being located in wider educational research, and of bringing the two fields more closely together.

Infant feeding websites and apps: a systematic assessment of quality and content

Background: Internet websites and smartphone apps have become a popular resource to guide parents in their children’s feeding and nutrition. Given the diverse range of websites and apps on infant feeding, the quality of information in these resources should be assessed to identify whether consumers have access to credible and reliable information.

Objective: This systematic analysis provides perspectives on the information available about infant feeding on websites and smartphone apps.

Methods: A systematic analysis was conducted to assess the quality, comprehensibility, suitability, and readability of websites and apps on infant feeding using a developed tool. Google and Bing were used to search for websites from Australia, while the App Store for iOS and Google Play for Android were used to search for apps. Specified key words including baby feeding, breast feeding, formula feeding and introducing solids were used to assess websites and apps addressing feeding advice. Criteria for assessing the accuracy of the content were developed using the Australian Infant Feeding Guidelines.

Results: A total of 600 websites and 2884 apps were screened, and 44 websites and 46 apps met the selection criteria and were analyzed. Most of the websites (26/44) and apps (43/46) were noncommercial, some websites (10/44) and 1 app were commercial and there were 8 government websites; 2 apps had university endorsement. The majority of the websites and apps were rated poor quality. There were two websites that had 100% coverage of information compared to those rated as fair or poor that had low coverage. Two-thirds of the websites (65%) and almost half of the apps (47%) had a readability level above the 8th grade level.

Conclusions: The findings of this unique analysis highlight the potential for website and app developers to merge user requirements with evidence-based content to ensure that information on infant feeding is of high quality. There are currently no apps available to consumers that address a variety of infant feeding topics. To keep up with the rapid turnover of the evolving technology, health professionals need to consider developing an app that will provide consumers with a credible and reliable source of information about infant feeding, using quality assessment tools and evidence-based content.

Feature-based image fusion quality metrics

Image fusion quality metrics have evolved from image processing quality metrics. They measure the quality of fused images by estimating how much localized information has been transferred from the source images into the fused image. However, this technique assumes that it is actually possible to fuse two images into one without any loss. In practice, some features must be sacrificed and relaxed in both source images. Relaxed features might be very important, like edges, gradients and texture elements. The importance of a certain feature is application dependant. This paper presents a new method for image fusion quality assessment. It depends on estimating how much valuable information has not been transferred.

Quality of occupational health provision: two rating scales and their determinants

Background To develop quality scales for occupational health services (OHSs) and describe and explain variation in quality across the UK university sector.

Methods Analysis of data from a national survey, to which 93 of 117 (79%) UK universities responded, and from the Higher Education Statistics Agency. Two quality scales were generated, one from the 1985 International Labour Organization recommendations on OHSs and one from clinicians’ perceptions (good, adequate, poor) about their OHS. The determinants examined were number of university staff, type of OHS (in-house, contracted, none/other), number of full-time equivalent occupational health doctors and nurses and OHS leadership (doctor, nurse, other).

Results There was wide variation in quality and a correlation (r = 0.65) between scales. In-house service, increasing service size and leadership by a doctor or nurse were determinants of higher quality; size of the university was not statistically significant after taking account of these factors.

Conclusions Some university OHSs may not be structured or operated to promote the highest quality of service. Inspection of individual quality scale items may be informative. These scales may be applicable in other employment sectors.

Marking time: leading and managing the development of assessment in higher education

This book highlights the University of New South Wales (UNSW) Assessment as Learning Project, a three year process of assessment change in faculty. The UNSW Vice-Chancellor, Professor Frederick Hilmer charged faculties with a learning and teaching agenda to investigate ways to make quality assessment practices more effective and efficient for both staff and students. The examples provided in this edited collection demonstrate exemplary case studies and theoretical perspectives on learning, teaching, and assessment. This book presents leading research in assessment as learning with a focus on changing practices as well as discipline specific practices.

Systematic review and quality appraisal of economic evaluation publications in dentistry

Economic evaluation (EE) studies have been undertaken in dentistry since the late 20th century because economic data provide additional information to policy makers to develop guidelines and set future direction for oral health services. The objectives of this study were to assess the methodological quality of EEs in oral health. Electronic searching of Ovid MEDLINE, the Cochrane Library, and the NHS Economic Evaluation Database from 1975 to 2013 were undertaken to identify publications that include costs and outcomes in dentistry. Relevant reference lists were also searched for additional studies. Studies were retrieved and reviewed independently for inclusion by 3 authors. Furthermore, to appraise the EE methods, 1 author applied the Drummond 10-item (13-criteria) checklist tool to each study. Of the 114 publications identified, 79 studies were considered full EE and 35 partial. Twenty-eight studies (30%) were published between the years 2011 and 2013. Sixty-four (53%) studies focused on dental caries prevention or treatment. Median appraisal scores calculated for full and partial EE studies were 11 and 9 out of 13, respectively. Quality assessment scores showed that the quality of partial EE studies published after 2000 significantly improved (P = 0.02) compared to those published before 2000. Significant quality improvement was not found in full EE studies. Common methodological limitations were identified: absence of sensitivity analysis, discounting, and insufficient information on how costs and outcomes were measured and valued. EE studies in dentistry increased over the last 40 y in both quantity and quality, but a number of publications failed to satisfy some components of standard EE research methods, such as sensitivity analysis and discounting.