Deployment of a Full-Scope Commercial Nuclear Power Plant Control Room Simulator at the Idaho National Laboratory

The INL operates the HSSL to conduct research in the design and evaluation of advanced reactor control rooms, integration of intelligent support systems to assist operators, development and assessment of advanced human performance models, and visualizations to assess advanced operational concepts across various infrastructures. This advanced facility consists of a reconfigurable simulator and a virtual reality capability (known as the Computer-Aided Virtual Environment (CAVE)) (Figure 2). It supports human factors research, including human-in-the-loop performance, HSI, and analog and digital hybrid control displays. It can be applied to the development and evaluation of control systems and displays for complex systems such as existing and advanced NPP control rooms, command and control systems, and advance emergency operations centers. The HSSL incorporates a reconfigurable control room simulator, which is currently housed in the Center for Advanced Energy Studies (CAES), a joint venture of the DOE and the Idaho University System. The simulator is a platform- and plant-neutral environment intended for full-scope and part-task testing of operator performance in various control room configurations. The simulator is not limited to a particular plant or even simulator architecture. It can support engineering simulator platforms from multiple vendors using digital interfaces. Due to its ability to be reconfigured, it is possible to switch the HSI - not just to digital panels but also to different control modalities such as those using greater plant automation or intelligent alarm filtering. The simulator currently includes three operator workstations, each capable of driving up to eight 30-inch monitors. The size and number of monitors varies depending on the particular front-end simulator deployed for a simulator study. These operator workstations would typically be used for the shift supervisor or senior reactor operator, reactor operator, and assistant reactor operator in current US NPPs. In addition to the three workstations, information can be shared between the workstations and further displayed on a large-screen overview display or a panel mimic. An 82-inch high-definition display is commonly used for the overview display

The breeding systems of selected Thysanotus species and the influence of floral display size and interspecific pollen transfer on their reproductive success

An understanding of the reproductive biology of a plant species is fundamental to understanding its viability, interactions and function within an ecosystem. This study explored the influence of pollination type, floral display size, and interspecific pollen transfer on the production of fruit and seeds in three Thysanotus species (T. manglesianus, T. multiflorus and T. triandrus). Thysanotus is a native, buzz-pollinated genus, and currently there is a dearth of knowledge regarding its reproductive biology. The present study aimed to fill this gap in the research by presenting a general overview of these species. The findings may then provide a basis for future research of other native, buzz pollinated species. This study used Thysanotus populations at a nature reserve in Langford, Western Australia to determine breeding systems and the influence of inflorescence size and application of heterospecific pollen on their fruit and seed sets. Breeding systems for each species were determined by hand pollinating flowers with self or outcross pollen, and recording the resulting fruit set. The influence of floral display size (of T. multiflorus and T. triandrus) was determined by looking at differences in the number of fruit and seeds produced by plants with different sized floral displays. To examine the effect of heterospecific pollen on reproduction, T. multiflorus pollen was applied to the stigmas of T. triandrus flowers and, over one hour later, either outcross or self-pollen was applied and the resulting fruit and seed set was recorded. All of the study species have a mixed mating system (i.e. produce seed from self or outcross pollen). Increased floral display size did not significantly increase fruit and seed set, or geitonogamous reproduction in T. multiflorus. In T. triandrus, a greater proportion of flowers set fruit from small floral displays than large, and large size did appear to increase geitonogamy. Interspecific pollen transfer had no effect on the fruit and seed set of T. triandrus, and pollinators did not distinguish between the flowers of the two species, so there was no evidence that pollinators could be instrumental in reproductive isolation

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting

The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates buying an individual ad impression in real time while it is still being generated from a user’s visit. RTB not only scales up the buying process by aggregating a large amount of available inventories across publishers but, most importantly, enables direct targeting of individual users. As such, RTB has fundamentally changed the landscape of digital marketing. Scientifically, the demand for automation, integration and optimisation in RTB also brings new research opportunities in information retrieval, data mining, machine learning and other related fields. In this monograph, an overview is given of the fundamental infrastructure, algorithms, and technical solutions of this new frontier of computational advertising. The covered topics include user response prediction, bid landscape forecasting, bidding algorithms, revenue optimisation, statistical arbitrage, dynamic pricing, and ad fraud detection

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting

The most significant progress in recent years in online display advertising is what is known as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates buying an individual ad impression in real time while it is still being generated from a user’s visit. RTB not only scales up the buying process by aggregating a large amount of available inventories across publishers but, most importantly, enables direct targeting of individual users. As such, RTB has fundamentally changed the landscape of digital marketing. Scientifically, the demand for automation, integration and optimisation in RTB also brings new research opportunities in information retrieval, data mining, machine learning and other related fields. In this monograph, an overview is given of the fundamental infrastructure, algorithms, and technical solutions of this new frontier of computational advertising. The covered topics include user response prediction, bid landscape forecasting, bidding algorithms, revenue optimisation, statistical arbitrage, dynamic pricing, and ad fraud detection

Supporting collaboration and engagement using a whiteboard-like display

Large interactive display surfaces have the potential to combine the simplicity, spontaneity and presence of a conventional whiteboard with the convenience, clarity, and archiving and retrieval capabilities of a computer display. Recent developments in display projection and large surface digitising have brought the cost of such displays to a level where they can be utilised to support a range of everyday activities. This paper describes the LIDS (Large Interactive Display Surfaces) project, recently commenced at the University of Waikato. LIDS focuses on the use of low-cost whiteboard-like shared interactive displays, and is exploring whiteboard metaphors and lightweight interaction techniques to support group collaboration and engagement. Three closely related application areas are being studied: (i) support for single and multiple site meetings and informal discussions, (ii) the use of such displays in teaching, and (iii) their use in personal information management

Structured computer-based training in the interpretation of neuroradiological images

Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness