695 research outputs found

    Optimization of Textured-surface Light Emitting Diode

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    We present an analysis of the efficiency and radiation pattern of the textured-surface LED by tracing the light rays that emits from the active layer. Through simulation, we discover that the efficiency depends on the thickness of the textured layer and its separation distance from the active layer. By carefully choosing these two parameters, maximum efficiency an be achieved. The radiation pattern of a texture-surface LED is found to be different from the flat-surfaced LED in that the textured surface has a wider angular spread.published_or_final_versio

    Designing an external efficieny of over 30% for light emittingdiode

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    In designing high intensity LED's, substantial increase in efficiency can be achieved with the use of a textured surface, which is characterized by its external quantum efficiency and radiation pattern. We have found that the randomness of the inclined facade surfaces contributes substantially to the enhanced efficiency substantially. Such efficiency is strongly dependent upon the textured surface layer's thickness and its distance to the active layer of the diode. To attain the maximum efficiency, an optimal range for these parameters is required.published_or_final_versio

    Self-assembled functional molecular materials for optoelectronic applications

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    There has been a growing interest to develop functional organic and organometallic materials in nano-scale by self assembly reactions as these materials could have unique electronic properties and applications. We have found that functionalized organometallic nano-wires which the formations are directed by weak Pt⋯Pt interactions along the dimension of the aggregates can be readily obtained by self-assembly reactions. These platinum(II) nano-wires exhibit interesting photophysical properties, vapochromic behavior, and could be used in the fabrication of organic (light-emitting) field-effect transistors.1,2 We have also found that thermally stable coordination polymers (with decomposition temperature up to 490°C), employing Zn 2+ as template metal ion and Schiff base or terpyridine as repeating chelating units, could be easily synthesized by self-assembly reactions. 3,4 These zinc (II) coordination polymers exhibit intense blue to green photoluminescence, and their thin-film samples have PL quantum yields up to 0.55. Polymer light-emitting devices (PLEDs) employing these coordination polymers as emitters give blue and green EL with turn-on voltage as low as 5 V and maximum efficiency up to 2.0 cd A-1. © 2009 Materials Research Society.published_or_final_versionThe 2008 Fall Meeting of the Materials Research Society, Boston, MA., 1-5 December, 2008. In Materials Research Society Symposium Proceedings, 2008, v. 1149, p. 1-1

    Estimation of the gray level variations in soft and hard peri-implant tissue from X-ray images

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    In the treatment and assessment of periodontal disease periapical films are taken at regular intervals. The films are compared around the region of the implant to monitor the changes that have taken place. A computer-assisted method to automate this process is presented here. To compare two images, a pair of X-ray images are superimposed on top of each other. The images are normalized and transformed to obtain the best fit. These images are subtracted and the difference in pixel values are used as a basis for analysis. A method for improving the alignment accuracy and contrast compensation is highlighted.published_or_final_versio

    Brain tumor boundary detection in MR image with generalized fuzzy operator

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    Boundary detection in MR image with brain tumor is an important image processing technique applied in radiology for 3D reconstruction. The nonhomogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.published_or_final_versio

    Thyroid cancer cells boundary location by a fuzzy edge detection method

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    Morphometric assessment of tumor cells is important in the prediction of biological behavior of thyroid cancer. In order to automate the process, the computer-based system has to recognize the boundary of the cells. Many methods for the boundary detection have appeared in the literature and some of them applied to microscopic slice analysis. However, there is no reliable method since the gray-levels in the nuclei are uneven and are similar to the background. In the paper, a fuzzy edge detection method is used and is based on an improved generalized fuzzy operator. The method enhances the nuclei and effectively separates the cells from the background.published_or_final_versio

    Boosting the power conversion efficiency of organic solar cells using weakly luminescent gold(III) corrole with long-lived exciton state

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    Poster Session: P-69Transition metal complexes have been widely used as light-emitting and photon-absorbing materials in optoelectronic devices with diverse applications. While these complexes have been intensively studied in the field of organic light-emitting devices (OLEDs) due to their inherently high phosphorescence quantum yields …postprin

    Perturbation of Retinoid Homeostasis Increases Malformation Risk in Embryos Exposed to Pregestational Diabetes

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    Pregestational diabetes is highly associated with increased risk of birth defects. However, factors that can increase or reduce expressivity and penetrance of malformations in diabetic pregnancies remain poorly identified. All-trans retinoic acid (RA) plays crucial roles in embryogenesis. Here, we find that Cyp26a1, which encodes a key enzyme for catabolic inactivation of RA required for tight control of local RA concentrations, is significantly down-regulated in embryos of diabetic mice. Embryonic tissues expressing Cyp26a1 show reduced efficiency of RA clearance. Diabetes-exposed embryos are thus sensitized to RA and more vulnerable to the deleterious effects of increased RA signalling. Susceptibility to RA teratogenesis is further potentiated in embryos with a pre-existing genetic defect of RA metabolism. Increasing RA clearance efficiency by a pre-conditioning approach can counteract the increased susceptibility to RA teratogenesis in embryos of diabetic mice. Our findings provide new insight into gene-environment interactions that influence individual risk in manifestation of diabetes-related birth defects, and shed light on the environmental risk factors and genetic variants for a stratified medicine approach to screen diabetic women of childbearing age and assess risk of birth defects during pregnancy

    Normalization of contrast in document images using generalized fuzzy operator with least square method

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    The visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method. © 2002 IEEE.published_or_final_versio
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