Electrophysiological Studies of Visual Attention and of Emotion Regulation

Electrophysiological methods, such as electroencephalography (EEG) and electrocardiography (ECG), measure biological activity that allow us to infer underlying cognitive processes. In the first study, we use EEG to track feature-based attention (FBA), a form of visual attention that helps one detect objects with a particular color, motion, or orientation. We explore the use of SSVEPs, generated by flicker presented peripherally, to track attention in a visual search task presented centrally. Classification results show that one can track an observer’s attended color, which suggests that these methods may provide a viable means for tracking FBA in a real-time task. In the second study, we use cardiovascular measures to examine influences of the emotion regulation strategy of reappraisal. We examine cooperation and cardiovascular responses in individuals that were defected on by their opponent in the first round of an iterated Prisoner’s Dilemma. We find significant differences between the emotion regulation conditions using the biopsychosocial (BPS) model of challenge and threat, where participants primed with the reappraisal strategy were weakly comparable with a threat state of the BPS model and participants without an emotion regulation were weakly comparable with a challenge state of the BPS model. In the third study, we use EEG to study the chromatic sensitivity of FBA for color during a visual search task. We use SSVEP responses evoked through peripheral flicker to measure the spectral tuning of color detection mechanisms and how attentional selection is affected by distractor color. Our results find smaller responses for the distractor colors and suggest that feature-based attention to a particular color involves chromatic mechanisms that both enhance the response to a target and minimize responses to distractors

Characterizing Water and Water-Related Energy Use in Multi-Unit Residential Structures with High Resolution Smart Metering Data

As urban populations continue to grow and expand, localized demands on water supplies continue to increase as well. These water supplies, which have been historically stable, are also threatened by an increasingly erratic climate. Together, these two factors have significantly increased the likelihood of long-term drought conditions in the American West. In response, water suppliers are investigating new ways to record water use in urban areas to better understand how water is used. One of these methods is smart meters; advanced devices that can record and transmit water use information directly to the water supplier. However, these devices can produce extremely large amounts of data, which can often be difficult to manage. This research investigated methods for data collection and management to advance the feasibility of larger smart meter networks. The techniques we developed are described, as well as how these techniques were used to estimate water and water-related energy use in several student dormitories on Utah State University’s campus. We also detail how water and water-related energy use were estimated. These results offer insight into how water and water-related energy are used in buildings like these, which may be of interest to water suppliers looking for ways to increase their understanding of water use beyond just the number of gallons used

Why tracing a locality's networked governance is worthwhile

The transition from government to governance brings about a shift in performance evaluation. The focus can no longer be on an individual entity, but must extend into considering how a collective of government and non-government institutions achieves the outcomes sought. How can this evaluation task proceed? While applying the formal methods of social network analysis (SNA) to measuring, analysing and managing networked governance may seem obvious to some, such a solution seems to have been avoided over many decades. SNA tools that non-experts can use have been released in recent past, providing opportunities in learning-by-doing among practitioners and scholars with responsibilities or interests in public sector management. The overarching aim in this paper is to promote adoption of an open-source software tool - NodeXL - as one pathway toward understanding and improving networked governance situations, and toward communicating results to others. It begins by establishing three areas of information needs held by Australia's local governments, where undertaking a pilot study could be useful. They are, local government's real positioning with other decision-makers in the networked governance that is Australian federalism; world better practice in risk governance, given the significant exposure of Australian councils to natural disaster events; and measuring change over time in governance capital, as a component in the capitals approach to measuring sustainable development. Establishing functional and spatial boundaries was a key step in design, with the choice being environment protection and natural resources management in the 350km2 catchment area of the Wonboyn Lake estuary on the far south coast of New South Wales. A Web search of documents containing the terms 'Wonboyn Lake' or 'Wonboyn River' then followed. One hundred and twenty nine documents were retrieved. Analysing their contents led to identifying over two hundred institutional actors either transmitting or receiving knowledge relevant to the locality. Some 420 communications taking place between 1967 and 2011 were identified, and tagged according to year of transmission. The decision-making level within which each institutional actor operated; and whether industry, regulator, external researcher or stakeholder were other characteristics recorded. A 421 x 2 matrix of Wonboyn data was then pasted into the NodeXL template operating on MS Excel 2007/2010. Resource materials downloaded from the Web supported the learning-by-doing element of the pilot study. Four visualisations on networked environmental governance are provided. The first shows unmodified data as a graph in random layout. Its purpose is to provide a benchmark against which some of the SNA procedures available for analysing data can be compared. Then follow three graph layouts, each designed to meet the areas of information need established at the study's beginning. Results suggest, in the author's opinion, any time invested in learning-by-doing with NodeXL will reward those wishing to understand, manage and communicate the complexity that is networked governance. Suggestions on how the Australian Centre for Excellence in Local Government, and practitioners in local councils, could be early adopters of this innovation by using data already available to them are offered, so that they may undertake similar pilot studies

System-level key performance indicators for building performance evaluation

Quantifying building energy performance through the development and use of key performance indicators (KPIs) is an essential step in achieving energy saving goals in both new and existing buildings. Current methods used to evaluate improvements, however, are not well represented at the system-level (e.g., lighting, plug-loads, HVAC, service water heating). Instead, they are typically only either measured at the whole building level (e.g., energy use intensity) or at the equipment level (e.g., chiller efficiency coefficient of performance (COP)) with limited insights for benchmarking and diagnosing deviations in performance of aggregated equipment that delivers a specific service to a building (e.g., space heating, lighting). The increasing installation of sensors and meters in buildings makes the evaluation of building performance at the system level more feasible through improved data collection. Leveraging this opportunity, this study introduces a set of system-level KPIs, which cover four major end-use systems in buildings: lighting, MELs (Miscellaneous Electric Loads, aka plug loads), HVAC (heating, ventilation, and air-conditioning), and SWH (service water heating), and their eleven subsystems. The system KPIs are formulated in a new context to represent various types of performance, including energy use, peak demand, load shape, occupant thermal comfort and visual comfort, ventilation, and water use. This paper also presents a database of system KPIs using the EnergyPlus simulation results of 16 USDOE prototype commercial building models across four vintages and five climate zones. These system KPIs, although originally developed for office buildings, can be applied to other building types with some adjustment or extension. Potential applications of system KPIs for system performance benchmarking and diagnostics, code compliance, and measurement and verification are discussed

Hardware in the Loop Simulation and Control Design for Autonomous Free Running Ship Models

This paper presents an hardware-in-the-loop (HIL) simulation system tool to test and validate an autonomous free running model system for ship hydrodynamic studies with a view to verification of the code, the control logic and system peripherals. The computer simulation of the plant model in real-time computer does not require the actual physical system and reduces the development cost and time for control design and testing purposes. The HIL system includes: the actual programmable embedded controller along with peripherals and a plant model virtually simulated in a real-time computer. With regard to ship controller design for ship model testing, this study describes a plant model for surge and a Nomoto first order steering dynamics, both implemented using Simulink software suit. The surge model captures a quasi-steady state relationship between surge speed and the propeller rpms, obtained from simple forward speed towing tank tests or derived analytically. The Nomoto first order steering dynamics is obtained by performing the standard turning circle test at model scale. The control logic obtained is embedded in a NI-cRIO based controller. The surge and steering dynamics models are used to design a proportional-derivative controller and an LQR controller. The controller runs a Linux based real-time operating system programmed using LabVIEW software. The HIL simulation tool allows for the emulation of standard ship hydrodynamic tests consisting of straight line, turning circle and zigzag to validate the combined system performance, prior to actual for use in the autonomous free-running tests

Improved Microcontroller-Based Electronic Respiratory Training

Respiratory training is a critical component of many rehabilitation plans, including those of stroke patients. Many current respiratory training techniques lack efficient methods for quantifying progress and updating testing parameters. A previously-developed microcontroller-based device, designed in conjunction with clinicians at the Institute for Rehabilitation Science and Engineering at Madonna Rehabilitation Hospital, has demonstrated promising results. Here, a prototype of a revised device that is network connected and remoatly sends trial information is presented.\ The proposed device demonstrates enhanced functionality, while being smaller and using less power than the original prototype

Pair programming and the re-appropriation of individual tools for collaborative software development

Although pair programming is becoming more prevalent in software development, and a number of reports have been written about it [10] [13], few have addressed the manner in which pairing actually takes place [12]. Even fewer consider the methods used to manage issues such as role change or the communication of complex issues. This paper highlights the way resources designed for individuals are re-appropriated and augmented by pair programmers to facilitate collaboration. It also illustrates that pair verbalisations can augment the benefits of the collocated team, providing examples from ethnographic studies of pair programmers 'in the wild'