This report explores the case of a medically fit 28 year-old female who was first referred to the maxillofacial team in 2015. She was experiencing pain from recurrent pericoronitis associated with her disto-angular impacted lower right wisdom tooth coupled with pain from temporomandibular joint dysfunction. Some unusual radiolucent lesions were detected incidentally on an initial panoramic radiograph of her dentition.

With a vital role in developing veterinary education in Australia, he became one of the country’s most outstanding veterinarians.

Building graphical user interfaces for visualization authoring is challenging as one must reconcile the tension between flexible graphics manipulation and procedural visualization generation based on a graphical grammar or declarative languages. To better support designers' workflows and practices, we propose Data Illustrator, a novel visualization framework. In our approach, all visualizations are initially vector graphics; data binding is applied when necessary and only constrains interactive manipulation to that data bound property. The framework augments graphic design tools with new concepts and operators, and describes the structure and generation of a variety of visualizations. Based on the framework, we design and implement a visualization authoring system. The system extends interaction techniques in modern vector design tools for direct manipulation of visualization configurations and parameters. We demonstrate the expressive power of our approach through a variety of examples. A qualitative study shows that designers can use our framework to compose visualizations.

Australian Veterinary JournalVolume 96, Issue 6 p. 195-195 OBITUARY Professor Roderick SF Campbell (1924–2018) Alan Wilson, Alan WilsonSearch for more papers by this author Alan Wilson, Alan WilsonSearch for more papers by this author First published: 28 May 2018 https://doi.org/10.1111/avj.12706Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume96, Issue6June 2018Pages 195-195 RelatedInformation

Event sequence datasets with high event cardinality and long sequences are difficult to visualize and analyze. In particular, it is hard to generate a high level visual summary of paths and volume of flow. Existing approaches of mining and visualizing frequent sequential patterns look promising, but have limitations in terms of scalability, interpretability and utility. We propose CoreFlow, a technique that automatically extracts and visualizes branching patterns in event sequences. CoreFlow constructs a tree by recursively applying a three-step procedure: rank events, divide sequences into groups, and trim sequences by the chosen event. The resulting tree contains key events as nodes, and links represent aggregated flows between key events. Based on CoreFlow, we have developed an interactive system for event sequence analysis. Our approach can compute branching patterns for millions of events in a few seconds, with improved interpretability of extracted patterns compared to previous work. We also present case studies of using the system in three different domains and discuss success and failure cases of applying CoreFlow to real-world analytic problems. These case studies call forth future research on metrics and models to evaluate the quality of visual summaries of event sequences.

This paper compares several multilevel topologies (3L-NPC, 3L-TNPC, 5L-ANPC and 5L-SMC converters) as an alternative to the 2L converter for low voltage applications, using low voltage IGBT modules. The comparative evaluations are made considering figures of merit such as the total losses and their power loss distribution, the amount of devices of each converter, the maximum output power, the harmonic quality, etc.

Modern web clickstream data consists of long, high-dimensional sequences of multivariate events, making it difficult to analyze. Following the overarching principle that the visual interface should provide information about the dataset at multiple levels of granularity and allow users to easily navigate across these levels, we identify four levels of granularity in clickstream analysis: patterns, segments, sequences and events. We present an analytic pipeline consisting of three stages: pattern mining, pattern pruning and coordinated exploration between patterns and sequences. Based on this approach, we discuss properties of maximal sequential patterns, propose methods to reduce the number of patterns and describe design considerations for visualizing the extracted sequential patterns and the corresponding raw sequences. We demonstrate the viability of our approach through an analysis scenario and discuss the strengths and limitations of the methods based on user feedback.

We have reached a position where we have an enormously strong toolkit for urban models with elements that are good enough to apply. This can be characterised in terms of the main subsystems and how they link, the theories that we represent in our models, and the methods we use to implement these models. See Figure 2.1 for a sketch.

Current methods for the detection of corrosion under protection schemes (such as paints, sealants, or attached coverings) rely on the methods to interrogate through the paint, sealant, or covering. These methods are largely manual and are time-consuming, costly to perform and not applicable if the covering is thick (which is the case with adhesively bonded tiles). A superior method would be to use an in situ sensing mechanism that is easily interrogated and is sensitive to the first onset of corrosion. Other critical considerations are that the sensor must be sensitive to corrosion over a wide area, not just locally, and the sensor must not interfere with or compromise the function of the system applied to the surface. The wire-based sensor presented in this paper offers a partial solution to these challenges.

Conventional online monitoring techniques used for monitoring the levels of contamination on high voltage insulators, such as leakage current and partial discharge, are not effective in dry conditions since they require the surface of the insulator to be wetted by fog, rain, condensation or snow. In order to address this problem, the authors have formerly reported two new techniques based on microwave radiometry and microwave reflectometry. This paper compares the performance of conventional pollution monitoring methods with the novel radiometry and reflectometry techniques under controlled environmental conditions. The results show that when the insulator surface is dry the conventional methods are unable to distinguish the pollution level while the novel methods are able to clearly identify varying levels of pollution. After the surface is wetted, the conventional methods become effective however the partial discharge activity may rapidly develop to a flashover prior to the preventative maintenance being implemented. Thus, the novel contamination monitoring methods will potentially facilitate advanced warning of the future failure of a wet insulator in climates where insulators experience dry conditions for extended periods.

We have developed a commercial apparatus to measure the ac-susceptibility of small samples (1-500 mg) from 50 mK to 4 K using a versatile top loading dilution refrigerator. This susceptometer is readily available to perform fully automated ac measurements in both, cryogen free and liquid cooled Physical Property Measuring Systems (PPMS). AC susceptibility measurements can be performed with ac excitation fields in the range of 1 mu T-0.4 mT ( peak) for frequencies from 10 Hz to 10 kHz and in the presence of a static dc field of up to 12 T. The design of the susceptometer employs a novel approach that virtually eliminates heating of the sample stage by thermally anchoring the coil set at 1.8 K, using superconducting wire for the excitation coil, and using a coil design that limits induced eddy currents on the dilution unit. The sample is mounted to a sapphire sample holder attached to the dilution stage and positioned in the center of one of the pickup coils. An additional trim coil on the coil set allows for dynamic removal of any background signals during the measurement, facilitating sample measurements for moments as small as 2 x 10(-10) A.m(2). We present measurements for various samples to demonstrate the capabilities and performance of this new instrument. In the current design, ac susceptibility measurements down to 50 mK can be performed in less than 8 h after mounting the sample.

Current techniques used for monitoring the levels of contamination on high voltage insulators, such as leakage current and infrared, are not effective in dry conditions since they require the surface of the insulator to be wetted by fog, rain or snow. If a buildup of contamination occurs during a prolonged dry period prior to a weather change there will be a significant risk that flashover may occur before there is time to implement preventative maintenance. Previous work has demonstrated the use of microwave radiometry to determine the levels of contamination on an insulator material under dry conditions, however practical applications are limited by low sensitivity. This paper reports the development of a novel technique based on microwave reflectometry to detect the power levels reflected from the surface of the insulator material. The level of contamination is then determined as a function of received power. A theoretical model establishes the relationship between equivalent salt deposit density levels on insulator surface and the dielectric properties of the contamination layer. A Finite Difference Time Domain (FDTD) model is used to simulate the total loss as a function of the contamination level. Experimental results verify the FDTD model and demonstrate the sensitivity of the reflectometer system to be approximately 100 times greater than the radiometer system. Therefore, the reflectometry system has considerably greater potential for practical applications to provide advance warning of the future failure of insulators under dry conditions for both HVDC and HVAC systems.

This paper introduces a novel method for monitoring contamination levels on high voltage insulators based on microwave radiometry. Present contamination monitoring solutions for high voltage insulators are only effective in predicting flashover risk when the contamination layer has been wetted by rain, fog or condensation. The challenge comes where the pollution occurs during a dry period prior to a weather change. Under these conditions, flashover can often occur within a short time period after wetting and is not predicted by measurements taken in the dry period. The microwave radiometer system described in this paper measures energy emitted from the contamination layer and could provide a safe, reliable, contactless monitoring method that is effective under dry conditions. The relationship between equivalent salt deposit density and radiometer output is described using a theoretical model and experimentally verified using a specially designed X-band radiometer. Results demonstrate that the output from the radiometer is able to clearly distinguish between different levels of contamination on insulator materials under dry conditions. This novel contamination monitoring method could potentially provide advance warning of the future failure of wet insulators in climates where insulators can experience dry conditions for extended periods.

This paper compares 3-level and a 5-level ANPC-VSCs in terms of the power losses and the maximum output current given by the junction temperature of the most stressed device, in a wide range of operating points, by simulating theses converters with 4.5 kV, 120 A IGBT modules connected in series. The junction temperature of the most stressed semiconductors limits the maximum allowable output current, and in order to calculate these temperatures, power losses and thermal models are needed. The results show that the 3L-ANPC can deliver larger currents compared with the 5L-ANPC at the same average switching frequency, but with a comparable output harmonic quality, the performance of both converters are more comparable, although not similar.

Microwave radiometry is a novel method for monitoring contamination levels on high voltage insulators. The microwave radiometer described measures energy emitted from the contamination layer and could provide a safe, reliable, contactless monitoring method that is effective under dry conditions. The design of the system has focused on optimizing accuracy, stability and sensitivity using a relatively low cost architecture. Experimental results demonstrate that the output from the radiometer is able to clearly distinguish between samples with different contamination levels under dry conditions. This contamination monitoring method could potentially provide advance warning of the future failure of wet insulators in climates where insulators can experience dry conditions for extended periods.