A Two-Dimensional Visual Tracking Array

The density and concurrency available in VLSI make it an excellent technology for implementing visual image-processing. By incorporating phototransistors and analog processing elements onto a single die, the large signal bandwidths required for real-time computations can be achieved. This paper describes a VLSI chip that computes the "center of intensity" of a two-dimensional visual field. One application for this network is the localization of a bright spot of light against a dark background. Theoretical and experimental results are presented to describe the operation of the system and its suitability as a input device for tracking servo systems

An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex

The vestibulo-ocular reflex (VOR) is the primary mechanism that controls the compensatory eye movements that stabilize retinal images during rapid head motion. The primary pathways of this system are feed-forward, with inputs from the semicircular canals and outputs to the oculomotor system. Since visual feedback is not used directly in the VOR computation, the system must exploit motor learning to perform correctly. Lisberger(1988) has proposed a model for adapting the VOR gain using image-slip information from the retina. We have designed and tested analog very large-scale integrated (VLSI) circuitry that implements a simplified version of Lisberger's adaptive VOR model

IMPACT: an implicit time integration scheme for chemical species and families

International audienceThe implicit time integration scheme of Stott and Harwood (1993) was proposed as an efficient scheme for use in three-dimensional chemical models of the atmosphere. The scheme was designed for chemistry schemes using `chemical families', in which species with short lifetimes are grouped into longer-lived families. Further study with more complex chemistry, more species and reactions showed the scheme to be non-convergent and unstable under certain conditions; particularly for the perturbed chemical scenarios of polar stratospheric winters. In this work the scheme has been improved by revising the treatment of families and the convergence properties of the scheme. The new scheme has been named IMPACT (IMPlicit Algorithm for Chemical Time-stepping). It remains easy to implement and produces simulations that compare well with integrations using more accurate higher order schemes

Interannual variability of tropospheric composition:the influence of changes in emissions, meteorology and clouds

We have run a chemistry transport model (CTM) to systematically examine the drivers of interannual variability of tropospheric composition during 1996-2000. This period was characterised by anomalous meteorological conditions associated with the strong El Nino of 1997-1998 and intense wildfires, which produced a large amount of pollution. On a global scale, changing meteorology (winds, temperatures, humidity and clouds) is found to be the most important factor driving interannual variability of NO2 and ozone on the timescales considered. Changes in stratosphere-troposphere exchange, which are largely driven by meteorological variability, are found to play a particularly important role in driving ozone changes. The strong influence of emissions on NO2 and ozone interannual variability is largely confined to areas where intense biomass burning events occur. For CO, interannual variability is almost solely driven by emission changes, while for OH meteorology dominates, with the radiative influence of clouds being a very strong contributor. Through a simple attribution analysis for 1996-2000 we conclude that changing cloudiness drives 25% of the interannual variability of OH over Europe by affecting shortwave radiation. Over Indonesia this figure is as high as 71%. Changes in cloudiness contribute a small but non-negligible amount (up to 6%) to the interannual variability of ozone over Europe and Indonesia. This suggests that future assessments of trends in tropospheric oxidizing capacity should account for interannual variability in cloudiness, a factor neglected in many previous studies

The role of community acceptance in planning outcomes for onshore wind and solar farms: An energy justice analysis

The deployment of renewable technologies as part of climate mitigation strategies have provoked a range of responses from various actors, bringing public acceptance to the forefront of energy debates. A key example is the reaction of communities when renewable projects are proposed in their local areas. This paper analyses the effect that community acceptance has had on planning applications for onshore wind and solar farms in Great Britain between 1990 and 2017. It does this by compiling a set of indicators for community acceptance and testing their association with planning outcomes using binomial logistic regression. It identifies 12 variables with statistically significant effects: 4 for onshore wind, 4 for solar farms, and 4 spanning both. For both technologies, the visibility of a project, its installed capacity, the social deprivation of the area, and the year of the application are significant. The paper draws conclusions from these results for community acceptance and energy justice, and discusses the implications for energy decision-making

Per-protocol investigation of a best practice exercise referral scheme.

Objectives: To investigate the effects of an exercise referral scheme (ERS) aligned to the UK best practice guidelines on a range of outcomes including those associated with key health concerns of the Scottish population. Study design A longitudinal design with data collection at three time points (baseline, midway and post) during a 12-week ERS intervention was employed. Methods: Health-related physical fitness was assessed through measurement of resting heart rate, blood pressure, FEV1:FEV6 (ratio of forced expiratory volume over one [FEV1] and six [FEV6] seconds), body mass and peak oxygen uptake (VO2 peak), whilst functional capacity was assessed through the five times sit to stand test. Psychosocial well-being and quality of life were measured using the World Health Organization Quality of Life questionnaire (WHOQOL-BREF) and the Profile of Mood State questionnaires. Growth curve analyses were used to model each outcome variable across the three time periods. Results: A range of effects were obtained with significant linear improvements in physical performance tests (P < 0.001) and psychosocial assessments (P ≤ 0.002). Additionally, significant quadratic effects of time were obtained for body composition variables and physical activity levels (P < 0.001) with the greatest improvements obtained between baseline and midway assessments. Conclusions: An ERS aligned to the UK best practice guidelines can positively influence a range of health outcomes including those associated with lung function and cardiovascular fitness which are prevalent medical conditions in Scotland. In addition, results indicate that ERS can positively affect outcomes related to functional capacity as well as mental well-being and perceptions of health. The findings of the study identify the need for further investigation including consideration of the initial health status of referred clients

Technical Note: Adjoint formulation of the TOMCAT atmospheric transport scheme in the Eulerian backtracking framework (RETRO-TOM)

A new methodology for the formulation of an adjoint to the transport component of the chemistry transport model TOMCAT is described and implemented in a new model, RETRO-TOM. The Eulerian backtracking method is used, allowing the forward advection scheme (Prather's second-order moments) to be efficiently exploited in the backward adjoint calculations. Prather's scheme is shown to be time symmetric, suggesting the possibility of high accuracy. To attain this accuracy, however, it is necessary to make a careful treatment of the "density inconsistency" problem inherent to offline transport models. The results are verified using a series of test experiments. These demonstrate the high accuracy of RETRO-TOM when compared with direct forward sensitivity calculations, at least for problems in which flux limiters in the advection scheme are not required. RETRO-TOM therefore combines the flexibility and stability of a "finite difference of adjoint" formulation with the accuracy of an "adjoint of finite difference" formulation