8 research outputs found

    Fully fabric high impedance surface-enabled antenna for wearable medical applications

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    The compact and robust high-impedance surface (HIS) integrated with the antenna is designed to operate at a frequency of 2.45 GHz for wearable applications. They are made of highly flexible fabric material. The overall size is 45×45×2.445\times \,\,45\times 2.4 mm3 which equivalent to 0.37λo×0.37λo×0.020.37\lambda \text{o}\times 0.37\lambda \text{o}\times 0.02 mm3. The value of using HIS lies in protecting the human body from harmful radiation and maintaining the performance of the antenna, which may be affected by the high conductivity of the human body. Besides, setting the antenna on the human body by itself detunes the frequency, but by adding HIS, it becomes robust and efficient for body loading and deformation. Integrated antenna with HIS demonstrates excellent performance, such as a gain of 7.47 dBi, efficiency of 71.8% and FBR of 10.8 dB. It also reduces the SAR below safety limits. The reduction is more than 95%. Therefore, the presented design was considered suitable for wearable applications. Further study was also performed to show the useful of placing antenna over HIS compared to the use of perfect electric conductor (PEC). The integrated design was also investigated with the worst case of varying the permittivity of body equivalent model which shows excellent performance in term of reflection coefficient and SAR levels. Hence, the integrated antenna with HIS is mechanically robust to human body tissue loading, and it is highly appropriate for body-worn applications

    Project implementation and monitoring (Ramakrishna, Y. S. (Yezzu Sri))

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    After a brief workshop summary by Spooner Hart, discussion leading to the assignment of activities followed, coordinated by Spooner-Hart and Huda

    Prayang Innovation TECHNOLOGY on Capture Results

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    Prayang is traditional fishing gear, a prohibition on the use of cantrang fishing gear by the Ministry of Maritime Affairs and Fisheries (KKP) requires an alternative replacement fishing gear, considering that the condition of the Java sea waters is already overfished. The study aims to determine the effect of using different color lights on prayang fishing gear on catches. The research method is an experiment by applying "light fishing" technology. The initial stage of the study was the use of lighting aids with different colors. Based on the results of statistical tests the lamp color treatment had no significant effect, the catch was dominated by white shrimp species for the use of white light and the shrimp continued to prefer green

    Using InfoCrop : a user friendly crop simulation model for mustard (Ramakrishna, Y. S. (Yezzu Sri))

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    Crop models can accelerate inter-disciplinary knowledge utilization in agricultural research and development. These models present an opportunity for assessing potential production in a region and facilitate analysis of the sustainability options for agricultural development including planning of resource allocation. The greater application of crop models in agricultural research and developments, however, requires a simple, user-friendly modeling framework, whose inputs are easily available/ measurable. In addition, the framework should provide a structure that can be easily adapted by the application developers. Most of the existing models are too complex with large input data requirement, cannot be easily integrated in the application, and are not very user-friendly. InfoCrop is a crop growth model that was developed by the Indian Agricultural Research Institute in New Delhi, India. It is a decision support system based on crop models that was developed by a network of scientists to provide a platform to scientists and extension workers to build their applications around it and to meet the goals of stakeholders’ need for information. These models are designed to simulate the effects of weather, soils, agronomic management, nitrogen, water and major pests on crop growth and yield, water and nitrogen management, and greenhouse gases emission. Its general structure is based on a large number of earlier models and the expertise of the scientists involved

    The effects of climate change on potato production and Potato Late Blight in the Asia-Pacific Region

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    The influence of climate change on potato production and the disease, Potato Late Blight, was assessed using two climatically distinct potato growing regions each in India's West Bengal (Nadia and Hooghly) and Bangladesh (Bogra and Munshiganj). Regional climate projections to the year 2050 were obtained for each location using IPCC climate scenario A1B for West Bengal and Bangladesh. Two regional forecasting models indicated an increasing trend (+0.2 to +0.6°C) for maximum and minimum temperatures by 2050. An increasing trend in rainfall was expected for 2050 but no difference in solar radiation was predicted compared to 1981-2010 data. The impact of climate change on potato production in the study areas in India and Bangladesh showed a yield decline of 23-32% by 2050. To assess the effect of climate change on Potato Late Blight, nine published models were tested for accuracy against ten years of West Bengal disease incidence records. The best model was only 25% accurate in predicting Late Blight outbreaks for that time period and, therefore, an alternative approach was developed by adapting the Jhulsacast model and applying fog-based rules. When climate change projections were incorporated, this modified model showed that the onset of Late Blight is likely to be earlier in the growing season for 2031-2040 but severity is likely to be 5-7% less than 1981-2010 records in the intensive potato growing areas of West Bengal. However, in northern Bangladesh, disease severity is predicted to increase by up to 12%, and reduce by 7% in central Bangladesh