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    1689 research outputs found

    Effect of kernal size on germination, growth and development, and yield of Arachis hypogaea L. (Peanut)

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    Peanut (Arachis hypogaea L.) is one of the most significant food and oilseed crops cultivated and consumed in many parts of the world. Particular seed sizes have different amounts of starch and other vitality levels which might be a significant factor in improving the germination, growth and development of the species. For instance, larger seeds have higher starch reserves than smaller seeds. This study investigated the effect of seed size on germination, growth, development, and yield of a peanut species, variety (var. Valencia). Peanut seeds were grouped into four classes based on their weight (0.50-0.55, 0.56-0.59, 0.60-0.65, 0.70-0.75) in grams. We also evaluated the effect of bacterial inoculated kernel on seed germination, growth, development, and yield of (Arachis hypogaea L.). Bradyrhizobium are common soil microorganisms that can form symbiotic relationships with leguminous plants and fix nitrogen. Five pots in each treatment in all four replications were inoculated with Bradyrhizobium bacteria to enhance nodulation. All the treatments were arranged in randomized complete block design (RCBD) in the greenhouse

    Breast cancer detection using support vector machine feature selector and classifier

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    Nowadays breast cancer is the leading cause of death. This is a disease in which some cells of the breast multiply abnormally. These abnormal cells destroy other surrounding cells and prevent their normal functioning. It can spread throughout the human body. In some forms, it spreads within days. Therefore, the diagnosis of breast cancer during early stages of the disease is extremely important. Identification of genetic and environmental factors is very important in developing novel methods to detect and prevent breast cancer. The objective of the research was to develop an approach for expeditiously and accurately by diagnosis of breast cancer. To achieve this objective, it is important to identify the features of a mammogram which are most relevant to the diagnosis. A new approach to identify the most important features based on Support-Vector-Machines was developed. These features were then used to develop a decision function based on Support-Vector-Machines, which functioning as a classifier providing the diagnosis. The proposed approach is specified in algorithmic form. Future work consists of developing executable code from these algorithms and testing the proposed approach with real-world data to ascertain its accuracy

    Active safety system model to avoid rear-end vehicle collision using controlled area network (CAN)

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    A rear-end collision is a traffic accident wherein a vehicle crashes into the vehicle in front of it, and it happens to be one of the most common types of crashes in the world. This research proposed an improved mechanism that not only computed the deceleration of vehicle due to braking and displayed the braking intensity through an array of light emitting diodes (LED) but also involved monitoring the braking intensity levels using Ultra-Sonic Sensor to calculate distance instead of infrared (IR) transmitter and receiver. The prototype of the system was designed and tested successfully. An advanced reduced instruction set computer (RISC) machine (ARM) Cortex M3 microcontroller which has faster instruction processing time than Cortex M0 microcontroller was interfaced with a LED array to display the braking intensity and an Ultra-Sonic Sensor module used the concept of echolocation for detecting and calculating distance of the object ahead. The time taken for the pulse to be transmitted and received is directly proportional to the distance between the objects. When the following car is in risk of a crash, the system warns the driver the current speed is not safe and helps the driver decelerate or to apply brakes. To take automatically control the motion of the vehicle, a collision avoidance system consisting of a ARM Cortex M3 microcontroller was implemented such that it calculates time gap with parameters like distance of the object and speed of the vehicle and actuates the brake control system in case of drastic situations using controlled area network (CAN) protocol and takes control decisions according to an algorithm designed to handle the situation

    Brain image segemntation for tumor detection using Quicknat with UNET model

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    Deep neural networks, such as convolutional neural networks (CNNs), are commonly applied for tumor segmentation in brain MRI. This work compares three different models — the U-NET architecture, the U-NET architecture with QUICKNAT features, and just the QUICKNAT model, for tumor segmentation in brain MRI. This work also compares two different segmentations for the training of the models, which are manual segmentation performed by expert neurologists and segmentation done by expert neurologists using the FreeSurfer tool to analyze the data with auxiliary labels given to pre-train the model. When the model was fitted and trained with the expert neurologist segmentations using the FreeSurfer tool, it was observed that the QUICKNAT model performs the best in terms of accuracy as it had a Dice coefficient of 0.90, compared to 0.86 for the U-NET model with QUICKNAT features, and 0.85 for just the U-NET model by itself. However, the U-NET model with QUICKNAT features gives the best performance in terms of computational expense during training, as it only took 5.246 seconds per epoch for its training and fitting in the fine-tuned case, whereas the QUICKNAT model took 6.500 seconds per epoch, and the U-NET model took 10.432 seconds per epoch

    Reservoir characterization of the Volve Field North Sea, using rock-physics modeling

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    There are many geological uncertainties associated with oil production from the Volve field. This research intends to utilize well-logs, core, and theoretical models to build a robust rock physics model for reservoir characterization to mitigate reservoir uncertainties. The Volve field geology does not fall into the classical and straightforward play of shale and sandstone interplay. The reservoir, the top, and bottom sealing lithologies in the Volve field grades from sandstone, minor claystone, limestone, shale to possible hot shale with the intermittent occurrence of coal. The Hugin sandstone is the reservoir. The Heather and the Sleipner formations are the top and bottom seal respectively. The three formations are Jurassic in age. Using an integration of core, well-logs, and theoretical models, the Hugin sandstone was interpreted to be an arenite with clay volume < 12% but greater than 2%. Velocity attenuation in the Hugin reservoir is not significantly influenced by increase in clay volume. The petrophysical model showed that the sandstone is clean with porosity as high as 30% but some zones have <7% porosity thereby conforming to the regional trend. Gassmann fluid substitution model was used in building AVO models covering all the potential fluid saturation possible on the field. The model suggested a hydrocarbon brightening effect on the seismic at the top of the Hugin sandstone. This model was also confirmed by the synthetic gather model for all case scenarios. However, the model could not differentiate between 5% gas filled Hugin sandstone and its 80% oil saturated sandstone. Rock diagnostic plots were used to discriminate between the three main lithologies of interest. The results show that the Hugin and the base Sleipner formation can be separated in an elastic property versus porosity domain. The upper Heather formation has elastic properties like the Hugin, and lithological differentiation was not possible. However, fluid differentiation between hydrocarbon and water is possible

    The history of Kenedy County

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    In the low, level coastal region of South Texas between 97 25 and 98 00 west longitude and between 26 40 and 27 15 north latitude lies Kenedy County. It is bounded on the north by Kelberg County and on the east by the Gulf of Mexico. Willacy County forms most of its southern border, the Brooks County and hidalgo county form its western border. The area of this entire county is nine hundred (900) square miles or five hundred seventy-six thousand acres

    The neutrality policy of the United States as developed during the Italo-Ethiopian crisis

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    The ruling house of Abyssinia claims descents from King Solomon and the Queen of Sheba and officially sanctions the tradition by including among the titles of its king “The Conquering Lion of Judah

    An administrator's study of the Yancey school

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    It is the purpose of this study to show the development of the Yancey school system through its many phases. The interaction of environmental conditions, social customs, race differences, and educational trends are shown in some detail

    Symbolism in the fiction of Nathaniel Hawthorne

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    In this thesis the objective is to trace symbolism in the fiction of Nathaniel Hawthorne and to present the material in a interesting way. The function of this introduction is to define symbol, symbolism, and allegory, to give the origin and nature of the Symbolist movement in literature (although Hawthorne was not a writer during this period, he may be classed as a forerunner of the Symbolist movement), and to discuss the general nature of symbolism in the writings of Nathaniel Hawthorne

    A study of James Fenimore Cooper's social teachings on American democratic culture

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    It is the purpose of this study to give as comprehensive an account as possible of the social teachings of James Fenimore Cooper, as these social ideas directly relate to American democratic culture. There will be an endeavor in this investigation to determine whether or not Cooper's social theories of a century ago are applicable and valuable today in our democratic world. In considering this question, we may also rise the following related questions: hat were cooper's social teachings on democracy? What personal characteristics of Cooper were revealed in his social teachings? What events, influences, and conditions occasioned his criticisms

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