1,048 research outputs found

    20140827.5: Engineering Office, 1952-1971

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    These items include materials from the College of Information Technology and Engineering at Marshall University from 1952-1971. Items were received in 2014 and include notable materials about the history of Engineering at Marshall, including training for engineering students, library holdings, the Engineering curriculum report from 1962, samples of student work within Engineering, and the Citizens Committee for presentation and improvement of Engineering from 1972. This is not an exhaustive list. Please download the finding aid for a full list of contents

    20180723: College of Information Technology and Engineering, 1995-2017

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    These items include materials from the College of Information Technology and Engineering at Marshall University from 1995-2017. Items were received in 2018 and include notable materials from Arthur Weisberg Family Applied Engineering Complex-Grand opening, various brochures, and CITE newsletter. This is not an exhaustive list. Please download the finding aid for a full list of contents

    Inclination Measurement Based on MEMS Accelerometer

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    MEMS accelerometer is very suitable for dip angle measurement with its small size, low power consumption and so on. The working principle of MEMS accelerometer was described in this study, and using the accelerometer to measure inclination was analyzed. Triaxial digital chip ADXL345 of acceleration was controlled via SPI mode driving using MSP430F149 microcontroller, and interface circuit and driver were designed, thus successfully achieving inclination measurement. Moreover, error is ±0.3o, and resolution may be up to 0.015o, while measuring system has the advantage of low power consumption

    Computer-aided Diagnosis of Breast Elastography

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    Ultrasonography has been an important imaging technique for detecting breast tumors. As opposed tothe conventional B-mode image, the real-time tissue elastography by ultrasound is a new technique for imagingthe elasticity and applied to detect the stiffness of tissues. The red region of color elastography indicatesthe soft tissue and the blue one indicates the hard tissue. The harder tissue usually is classified as malignancy.In this paper, the authors proposed a computer-aided diagnosis( CAD) system on elastography tomeasure whether this system is effective and accurate to classify the tumor into benign and malignant. Accordingto the features of elasticity, the color elastography was transferred to hue, saturation, and value(HSV) color space and extracted meaningful features from hue images. Then the neural network was utilizedin multiple features to distinguish tumors. In this experiment, there are 180 pathology-proven cases including113 benign and 67 malignant cases used to examine the classification. The results of the proposedsystem showed an accuracy of 83.89 %, a sensitivity of 82.09 % and a specificity of 84.96 %. Compared withthe physician\u27s diagnosis, an accuracy of 78.33 %, a sensitivity of 53.73 % and a specificity of 92.92 %, theproposed CAD system had better performance. Moreover, the agreement of the proposed CAD system andthe physician\u27s diagnosis was calculated by kappa statistics, the kappa 0.64 indicated there is a fair agreementof observers

    A NOVEL APPROACH FOR UNDERWATER IMAGE ENHANCEMENT BASED ON IMPROVED DARK CHANNEL PRIOR WITH COLOUR CORRECTION

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    The quality of underwater images is affected by characteristics of the underwater environment, such as varying light intensity levels and varied wavelengths. Low quality of underwater images is one of the major problems in identification of fish species during monitoring of underwater ecosystem. Improving the quality of underwater images is important for accurate fish identification. Some researchers introduce various methods that address colour-correction problem for underwater images. However, previous researches do not consider the noises produced during the implementation of the image processing techniques. To deal with this problem, we propose a novel method called novel contrast-adaptive colour-correction (NCACC) to enhance the quality of underwater images that are susceptible to bright colour distortion and various noises. The NCACC method is a combination of an automatic level correction and a limited contrast mode of adaptive histogram equalization method to be applied to the dark channel prior method. As a result, we are able to improve the contrast of the images without generating many noises. The experimental results show that the NCACC method significantly improves the quality of the underwater images. The improvement was assessed using the peak signal-to-noise ratio that yielded the value of 22.076 dB, which was 4.4% higher than the highest value obtained by the state-of-theart method. We demonstrate that enhancement of underwater images is essential to reveal the detail of underwater objects

    Ethnic Violence and Birth Outcomes: Evidence from Exposure to the 1992 Conflict in Kenya

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    This study is an examination of the effect of intrauterine exposure to electoral violence on child birthweight; an outcome that has long-term effects on an individual’s education, income, and health in later life. By considering the electoral violence that resulted from the introduction of multi-party democracy in Kenya as an exogenous source of shock and by adopting difference-in-differences method and mother-fixed effect model, we found that prenatal exposure to the violence increased the probabilities of low birth weight and a child being of very small size at birth by 19 and 6 percentage points, respectively. We found that violence exposure in the first trimester of pregnancy decreased birth weight by 271 grams and increased the probabilities of low birthweight and very small size at birth by 18 and 4 percentage points, respectively. The results reaffirm the significance of the nine months in utero as one of the most critical periods in life that shapes future health, economic, and educational trajectories.JEL Classification Code: O15, I15, J13, J24http://www.grips.ac.jp/list/jp/facultyinfo/kijima-yoko
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