The development of mobile robot for air pollution data capture (POPOBOT)

In the Modern era, the environmental issues have given significant impact to the human live. The air pollution indoor and outdoor environment sometimes dangerous to the human health and it needs to be justified. To fulfill this purpose, telemeasurement process and technique should be used. Therefore, in this research, the mobile robot with equipped by several air quality parameters sensors is developed. The robot is controlled using remote control and using wireless connection system. The air quality in target area will be monitored by using sensors which will capture data and send it to the Central Control (laptop) for analyzing. And then to be able monitor certain area investigation, the mobile robot is guided by using wireless camera. Result from this project can make user to monitor and navigate the target area by using mobile robot and this can make user know the situation on that area. PIC16F887A has been chosen in this project as the main device which is controlling all activities of the mobile robot. Data capture and robot movement has been done in wireless to make user easy to do the monitoring activities. From result, knowing that the error percentage of the data capture is small compare to the digital meter. So from that knowing this project is effective because it make user easy to do air pollution monitoring process also can prevent the gas poisoning cases from happen

Do cladistic and morphometric data capture common patterns of morphological disparity?

The distinctly non-random diversity of organismal form manifests itself in discrete clusters of taxa that share a common body plan. As a result, analyses of disparity require a scalable comparative framework. The difficulties of applying geometric morphometrics to disparity analyses of groups with vastly divergent body plans are overcome partly by the use of cladistic characters. Character-based disparity analyses have become increasingly popular, but it is not clear how they are affected by character coding strategies or revisions of primary homology statements. Indeed, whether cladistic and morphometric data capture similar patterns of morphological variation remains a moot point. To address this issue, we employ both cladistic and geometric morphometric data in an exploratory study of disparity focussing on caecilian amphibians. Our results show no impact on relative intertaxon distances when different coding strategies for cladistic characters were used or when revised concepts of homology were considered. In all instances, we found no statistically significant difference between pairwise Euclidean and Procrustes distances, although the strength of the correlation among distance matrices varied. This suggests that cladistic and geometric morphometric data appear to summarize morphological variation in comparable ways. Our results support the use of cladistic data for characterizing organismal disparity

Nonlinear optical techniques for improved data capture in fluorescence microscopy and imaging

Multiphoton fluorescence microscopy is now a well-established technique, currently attracting much interest across all fields of biophysics - especially with regard to enhanced focal resolution. The fundamental mechanism behind the technique, identified and understood through the application of quantum theory, reveals new optical polarization features that can be exploited to increase the information content of images from biological samples. In another development, based on a newly discovered, fundamentally related mechanism, it emerges the passage of off-resonant probe laser pulses may characteristically modify the intensity of single-photon fluorescence, and its associated optical polarization behavior. Here, the probe essentially confers optical nonlinearity on the decay transition, affording a means of optical control over the fluorescent emission. Compared to a catalogue of other laser-based techniques widely used in the life sciences, most suffer limitations reflecting the exploitation of specifically lifetime-associated features; the new optical control mechanism promises to be more generally applicable for the determination of kinetic data. Again, there is a prospect of improving spatial resolution, non-intrusively. It is anticipated that tight directionality can be imposed on single-photon fluorescence emission, expediting the development of new imaging applications. In addition, varying the optical frequency of the probe beam can add another dimension to the experimental parameter space. This affords a means of differentiating between molecular species with strongly overlapping fluorescence spectra, on the basis of their differential nonlinear optical properties. Such techniques significantly extend the scope and the precision of spatial and temporal information accessible from fluorescence studies

Data capture from engineering drawings

Call number: LD2668 .T4 1985 S574Master of Scienc

Concept Mapping to Develop a Framework for Characterizing Electronic Data Capture (EDC) Systems

CTSAs have brought about a push to find better EDC systems, which facilitate translational research. Based on the data management needs of a specific clinical/translational research lab, concept mapping was used to create a framework to evaluate EDCs. After refinement based on a spiral model, including consultations with the UW CTSA and a survey of other CTSAs, the tool was used to characterize EDCs used at CTSA sites across the country