660 research outputs found

    A case study of curriculum development related to the space environment and emerging space weather markets

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    Space weather is a new subject which has not yet become widely understood or appreciated. The University offers the unique opportunity to develop knowledge and understanding about space weather that can then be applied as graduates enter the mainstream society. <P style=&quot;line-height: 20px;&quot;> In this paper, an example of curriculum development at the Istanbul Technical University, Faculty of Aeronautics and Astronautics, for formal education related to the space environment is presented in outline

    A case study of curriculum development related to the space environment and emerging space weather markets

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    International audienceSpace weather is a new subject which has not yet become widely understood or appreciated. The University offers the unique opportunity to develop knowledge and understanding about space weather that can then be applied as graduates enter the mainstream society. In this paper, an example of curriculum development at the Istanbul Technical University, Faculty of Aeronautics and Astronautics, for formal education related to the space environment is presented in outline

    HF spectrum occupancy and antennas

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    This paper deals with the research made during the COST 296 action in the WG2, WP 2.3 in the antennas and HF spectrum management fields, focusing the Mitigation of Ionospheric Effects on Radio Systems as the subject of this COST action.info:eu-repo/semantics/publishedVersio

    Space plasma effects on Earth-spaceand satellite-to-satellite communications:Working Group 4 overview

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    This paper summarizes the the activities carried out by Working Group 4 of COST 271 Action. The structure of this Working Group included four Working packages that were dealing with different aspects of the same overall problem related to space plasma variability and irregularities effects on advanced satellite systems. General comments about the most relevant achievements and possible future lines of research are given

    PHP36 REIMBURSMENT POLICY IN TURKEY: NEW CONSENSUS

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    Performance of a Balanced Portfolio With Active Covered-Call Strategies

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    This study investigates the performance of local and global investments with and without covered call option strategies over the period from January 2000 to December 2015. The Covered Call Strategy (CCS) is a common return enhancing strategy used in portfolio management. The strategy consists of simultaneously holding a long position in an asset and writing call options on that asset. The local investment are on the top twenty stocks from Australian market while the global investment is an international balanced portfolio. For covered call strategies, market option data from Australian Stock Exchange is used. The results show that under some constraints, using covered call strategies in general improves the risk-adjusted returns

    Statistical properties of the deviations of f 0 F 2 from monthly medians

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    The deviations of hourly f 0 F 2 from monthly medians for 20 stations in Europe during the period 1958-1998 are studied. Spectral analysis is used to show that, both for original data (for each hour) and for the deviations from monthly medians, the deterministic components are the harmonics of 11 years (solar cycle), 1 year and its harmonics, 27 days and 12 h 50.49 m (2nd harmonic of lunar rotation period L 2 ) periodicities. Using histograms for one year samples, it is shown that the deviations from monthly medians are nearly zero mean (mean < 0.5) and approximately Gaussian (relative difference range between %10 to %20) and their standard deviations are larger for daylight hours (in the range 5-7). It is shown that the amplitude distribution of the positive and negative deviations is nearly symmetrical at night hours, but asymmetrical for day hours. The positive and negative deviations are then studied separately and it is observed that the positive deviations are nearly independent of R12 except for high latitudes, but negative deviations are modulated by R12 . The 90% confidence interval for negative deviations for each station and each hour is computed as a linear model in terms of R12. After correction for local time, it is shown that for all hours the confidence intervals increase with latitude but decrease above 60N. Long-term trend analysis showed that there is an increase in the amplitude of positive deviations from monthly means irrespective of the solar conditions. Using spectral analysis it is also shown that the seasonal dependency of negative deviations is more accentuated than the seasonal dependency of positive deviations especially at low latitudes. In certain stations, it is also observed that the 4th harmonic of 1 year corresponding to a periodicity of 3 months, which is missing in f 0 F 2 data, appears in the spectra of negative variations

    Two solar eclipses observations in Turkey

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    In thispap er, the changesin the ionosphere over Turkey due to two solar eclipses are reported. TEC on the eclipse day (26 April 1976) and the intensity of an HF radio wave during itspropagation over 567 km between Ankara and Elazıˇg on the eclipse day (11 August 1999) exhibited a very marked decrease

    Development of algorithms and software for forecasting, nowcasting and variability of TEC

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    Total Electron Content (TEC) is an important characteristic of the ionosphere relevant to communications. Unpredictable variability of the ionospheric parameters due to various disturbances limits the efficiencies of communications, radar and navigation systems. Therefore forecasting and nowcasting of TEC are important in the planning and operation of Earth-space and satellite-to-satellite communication systems. Near-Earth space processes are complex being highly nonlinear and time varying with random variations in parameters where mathematical modeling is extremely difficult if not impossible. Therefore data driven models such as Neural Network (NN) based models are considered and found promising in modeling such processes. In this paper the NN based METU-NN model is introduced to forecast TEC values for the intervals ranging from 1 to 24 h in advance. Forecast and nowcast of TEC values are also considered based on TEC database. Day-to-day and hour to-hour variability of TEC are also estimated using statistical methods. Another statistical approach based on the clustering technique is developed and a preprocessing approach is demonstrated for the forecast of ionospheric critical frequency foF2
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