7,048 research outputs found

    Environmental study of ERTS-1 imagery: Lake Champlain and Vermont

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    Environmental concerns of the State of Vermont currently being stressed include water quality in Lake Champlain and a state-wide land use and capability plan. Significant results obtained from ERTS-1 relate directly to the above concerns. Industrial water pollution and turbidity in Lake Champlain have been identified and mapped and the ERTS pollution data will be used in the developing court suit which Vermont has initiated against the polluters. ERTS imagery has also provided a foundation for updating and revising land use inventories. Major classes of land use have been identified and mapped, and substantial progress has been made toward the mapping of such land use divisions as crop and forest type, and wetlands

    Towards FollowMe User Profiles for Macro Intelligent Environments

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    We envision an Ambient Intelligent Environment as an environment with technology embedded within the framework of that environment to help enhance an users experience in that environment. Existing implementations , while working effectively, are themselves an expensive and time consuming investment. Applying the same expertise to an environment on a monolithic scale is very inefficient, and thus, will require a different approach. In this paper, we present this problem, propose theoretical solutions that would solve this problem, with the guise of experimentally verifying and comparing these approaches, as well as a formal method to model the entire scenario

    Age of second language acquisition affects nonverbal conflict processing in children : an fMRI study

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    Background: In their daily communication, bilinguals switch between two languages, a process that involves the selection of a target language and minimization of interference from a nontarget language. Previous studies have uncovered the neural structure in bilinguals and the activation patterns associated with performing verbal conflict tasks. One question that remains, however is whether this extra verbal switching affects brain function during nonverbal conflict tasks. Methods: In this study, we have used fMRI to investigate the impact of bilingualism in children performing two nonverbal tasks involving stimulus-stimulus and stimulus-response conflicts. Three groups of 8-11-year-old children - bilinguals from birth (2L1), second language learners (L2L), and a control group of monolinguals (1L1) - were scanned while performing a color Simon and a numerical Stroop task. Reaction times and accuracy were logged. Results: Compared to monolingual controls, bilingual children showed higher behavioral congruency effect of these tasks, which is matched by the recruitment of brain regions that are generally used in general cognitive control, language processing or to solve language conflict situations in bilinguals (caudate nucleus, posterior cingulate gyrus, STG, precuneus). Further, the activation of these areas was found to be higher in 2L1 compared to L2L. Conclusion: The coupling of longer reaction times to the recruitment of extra language-related brain areas supports the hypothesis that when dealing with language conflicts the specialization of bilinguals hampers the way they can process with nonverbal conflicts, at least at early stages in life

    Wireless recording of the calls of Rousettus aegyptiacus and their reproduction using electrostatic transducers

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    Bats are capable of imaging their surroundings in great detail using echolocation. To apply similar methods to human engineering systems requires the capability to measure and recreate the signals used, and to understand the processing applied to returning echoes. In this work, the emitted and reflected echolocation signals of Rousettus aegyptiacus are recorded while the bat is in flight, using a wireless sensor mounted on the bat. The sensor is designed to replicate the acoustic gain control which bats are known to use, applying a gain to returning echoes that is dependent on the incurred time delay. Employing this technique allows emitted and reflected echolocation calls, which have a wide dynamic range, to be recorded. The recorded echoes demonstrate the complexity of environment reconstruction using echolocation. The sensor is also used to make accurate recordings of the emitted calls, and these calls are recreated in the laboratory using custom-built wideband electrostatic transducers, allied with a spectral equalization technique. This technique is further demonstrated by recreating multi-harmonic bioinspired FM chirps. The ability to record and accurately synthesize echolocation calls enables the exploitation of biological signals in human engineering systems for sonar, materials characterization and imaging

    Strengthening the Campus Leadership Team through Effective Principal and Counselor Relationships: Implications for Training

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    Campuses with successful leadership teams have a better opportunity to meet the ever-increasing and complex needs of the students they serve (Crowther, Kaagan, Ferguson, & Hann, 2002). These successful campuses are strengthened when they include strong principals and counseling teams with shared mutual trust and understanding that permeates the school climate (DeVoss & Andrews, 2006). A review of the literature revealed a paucity of studies examining the nature of successful principal-counselor relations and the impact of this relationship on student success, effective campus leadership teams, and an effective school climate that promotes learning. Meaningful dialogue and discussion of this critical professional relationship also were found lacking in the major counseling and educational leadership professional journals

    FollowMe: A Bigraphical Approach

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    In this paper we illustrate the use of modelling techniques using bigraphs to specify and refine elementary aspects of the FollowMe framework. This framework provides the seamless migration of bi-directional user interfaces for users as they navigate between zones within an intelligent environment

    The Returns to Insulation Upgrades: Results from a Mixed Engineering Econometric Model

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    This paper estimates a new model of residential electricity demand. It differs from previous work in two ways. First, we utilize individual monthly billing data in a pooled time-series/cross-section framework. Second, we use an engineering/thermal load technique to model the household apace-heating technology. This allows more precise separation of the effects of economic variables from those of weather, and permits simulation of the effects of various conservation policies. We estimate the model using data from the Pacific Northwest, and use the results to analyze three conservation measures: a price increase, a reduction in thermostat settings, and an improvement of insulation levels. We find average rates of return for insulation upgrades of 4.9 percent for ceilings and 8.3 percent for walls
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