Distributed Feature Extraction Using Cloud Computing Resources

The need to expand the computational resources in a massive surveillance network is clear but traditional means of purchasing new equipment for short-term tasks every year is wasteful. In this work I will provide evidence in support of utilizing a cloud computing infrastructure to perform computationally intensive feature extraction tasks on data streams. Efficient off-loading of computational tasks to cloud resources will require a minimization of the time needed to expand the cloud resources, an efficient model of communication and a study of the interplay between the in-network computational resources and remote resources in the cloud. This report provides strong evidence that the use of cloud computing resources in a near real-time distributed sensor network surveillance system, ASAP, is feasible. A face detection web service operating on an Amazon EC2 instance is shown to provide processing of 10-15 frames per second.Umakishore Ramachandran - Faculty Mentor ; Rajnish Kumar - Committee Member/Second Reade

Using spatial equity analysis in the process evaluation of environmental interventions to tackle obesity: the healthy towns programme in England.

INTRODUCTION: Process evaluations of environmental public health interventions tend not to consider issues of spatial equity in programme delivery. However, an intervention is unlikely to be effective if it is not accessible to those in need. Methods are required to enable these considerations to be integrated into evaluations. Using the Healthy Towns programme in England, we demonstrate the potential of spatial equity analysis in the evaluation of environmental interventions for diet and physical activity, examining whether the programme was delivered to those in greatest need. METHODS: Locations of new physical infrastructure, such as cycle lanes, gyms and allotments, were mapped using a geographic information system. A targeting ratio was computed to indicate how well-located the infrastructure was in relation to those at whom it was specifically aimed, as detailed in the relevant project documentation, as well as to generally disadvantaged populations defined in terms of U.K. Census data on deprivation, age and ethnicity. Differences in targeting were examined using Kruskal-Wallis and t-tests. RESULTS: The 183 separate intervention components identified were generally well located, with estimated targeting ratios above unity for all population groups of need, except for black and ethnic minorities and children aged 5-19 years. There was no evidence that clustering of population groups influenced targeting, or that trade-offs existed when components were specifically targeted at more than one group. CONCLUSIONS: The analysis of spatial equity is a valuable initial stage in assessing the provision of environmental interventions. The Healthy Towns programme can be described as well targeted in that interventions were for the most part located near populations of need.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Tigard Walks (A Plan for Walkable Neighborhoods in Tigard)

The Walkable Neighborhoods Plan for Tigard outlines a set of strategies to help Tigard’s residents, businesses, and leaders build their city into a more walkable place. These five strategies are based on three core values gleaned from StepUP Studio’s outreach efforts to the people living and working in and for the city of Tigard. This project was conducted under the supervision of Sy Adler, Marisa A. Zapata and Gil Kelle

Investigating eye movement patterns, language, and social ability in children with autism spectrum disorder

Although all intellectually high-functioning children with autism spectrum disorder (ASD) display core social and communication deficits, some develop language within a normative timescale and others experience significant delays and subsequent language impairment. Early attention to social stimuli plays an important role in the emergence of language, and reduced attention to faces has been documented in infants later diagnosed with ASD. We investigated the extent to which patterns of attention to social stimuli would differentiate early and late language onset groups. Children with ASD (mean age = 10 years) differing on language onset timing (late/normal) and a typically developing comparison group completed a task in which visual attention to interacting and noninteracting human figures was mapped using eye tracking. Correlations on visual attention data and results from tests measuring current social and language ability were conducted. Patterns of visual attention did not distinguish typically developing children and ASD children with normal language onset. Children with ASD and late language onset showed significantly reduced attention to salient social stimuli. Associations between current language ability and social attention were observed. Delay in language onset is associated with current language skills as well as with specific eye-tracking patterns

The influence of self-selected music on affect-regulated exercise intensity and remembered pleasure during treadmill running.

This study explored the influence of self-selected music on affect-regulated exercise intensity and Remembered Pleasure. Seventeen active male and female participants (28.1 ±9.9 years; BMI 23.8±3.2 kg/m2; VO2 peak 48.73±8.73 ml.min−1.kg−1) completed a maximal exercise test and each individual’s ventilatory threshold (VT) was identified. Following this, two treadmill exercise trials were performed at an intensity that was perceived to correspond to a Feeling Scale value of +3 (i.e. ‘good’). Sessions with either self-selected music or no music were completed 48 hr apart and in a randomized counterbalanced order. Affective responses (Feeling Scale) and heart rate were measured during exercise and Remembered Pleasure was measured 5-min post exercise. Results indicated that participants selected an exercise intensity that exceeded their VT during the two affect-regulated exercise sessions (p = .002, d = .99). Participants exercised with greater intensity during affect-regulated exercise with music than without (p = .045; d = 1.12) while maintaining a ‘good’ feeling. Furthermore, participants recalled the music session as more pleasurable than the no-music session (p = .001; d = .72). These results illustrate a positive ergogenic and psychological influence of music during affect-regulated exercise. Encouraging individuals to exercise at an intensity that feels ‘good’ elicits an exercise intensity sufficient to garner cardiorespiratory benefits and may lead to improved adherence. Moreover, the use of self-selected music appears to augment this effect. (226 words) Keywords: Affect, exercise, heuristics, remembered utility, physical activit

ACMiner: Extraction and Analysis of Authorization Checks in Android's Middleware

Billions of users rely on the security of the Android platform to protect phones, tablets, and many different types of consumer electronics. While Android's permission model is well studied, the enforcement of the protection policy has received relatively little attention. Much of this enforcement is spread across system services, taking the form of hard-coded checks within their implementations. In this paper, we propose Authorization Check Miner (ACMiner), a framework for evaluating the correctness of Android's access control enforcement through consistency analysis of authorization checks. ACMiner combines program and text analysis techniques to generate a rich set of authorization checks, mines the corresponding protection policy for each service entry point, and uses association rule mining at a service granularity to identify inconsistencies that may correspond to vulnerabilities. We used ACMiner to study the AOSP version of Android 7.1.1 to identify 28 vulnerabilities relating to missing authorization checks. In doing so, we demonstrate ACMiner's ability to help domain experts process thousands of authorization checks scattered across millions of lines of code

Epidemiology of Sport-Related Concussions in High School Athletes: National Athletic Treatment, Injury and Outcomes Network (NATION), 2011–2012 Through 2013–2014

Sports participation is one of the leading causes of concussions among nearly 8 million US high school student-athletes

Mass Models and Sunyaev-Zeldovich Effect Predictions for a Flux Limited Sample of 22 Nearby X-Ray Clusters

We define a 90% complete, volume-limited sample of 31 z<0.1 x-ray clusters and present a systematic analysis of public ROSAT PSPC data on 22 of these objects. Our efforts are undertaken in support of the Penn/OVRO SZE survey, and to this end we present predictions for the inverse Compton optical depth towards all 22 of these clusters. We have performed detailed Monte Carlo simulations to understand the effects of the cluster profile uncertainties on the SZE predictions given the OVRO 5.5-meter telescope beam and switching patterns; we find that the profile uncertainties are one of the least significant components of our error budget for SZE-based distance measurements. We also present baryonic masses and baryon mass fractions derived under the assumption of hydrostatic equilibrium for these 22 clusters. The mean baryonic mass fraction within R_500 \sim 500 h^-1 kpc is (7.02 \pm 0.28) x 10^-2 h^-3/2, or (19.8 \pm 0.8) x 10^-2 for h=0.5. We confirm the Allen et al. (1993) claim of an excess absorbing column density towards Abell 478, but do not find similar anomalies in the other 21 clusters in our sample. We also find some evidence for an excess of soft counts in the ROSAT PSPC data. A measurement of H_o using these models and OVRO SZE determinations will be presented in a second paper.Comment: 51 pages, 6 figures included in text. Added comparison of different cosmologies; accepted for publication in Ap

Epidemiologic Measures for Quantifying the Incidence of Concussion in National Collegiate Athletic Association Sports

Injury rates compare the relative frequency of sport-related concussions across groups. However, they may not be intuitive to policy makers, parents, or coaches in understanding the likelihood of concussion