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    テラヘルツ帯シリコン誘電体レンズアンテナおよびアッテネータに関する研究

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    博士(工学)doctoral創造科学技術大学院静岡大学甲第868号ET

    Using the Eisenhower Matrix to Identify Open Government Data Parameter Towards Information Disclosure in Indonesia

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    The openness of government data is considered essential and is an influential innovation in society to prevent corruption by increasing the transparency of information and data. One of the drivers for the emergence of Open Government Data (OGD) is the Industrial Revolution 4.0 era, which has influenced all aspects of life with all technological advances. Society needs open information to support and monitor the running of Government. However, it still needs to be determined whether the published OGD data is actual data or only data presented to cancel obligations to protect certain powers. From here, the author wants to conduct a study on OGD parameters using the Eisenhower matrix after reviewing several experts in the telecommunications sector as a basis for identifying parameters for the openness of information and government data in Indonesia. From the results of the analysis that we have carried out, it is found that government support is the highest parameter, followed by other parameters, namely policy, data transparency in the OGD portal, and the participation of citizens as the most crucial support in supporting the implementation of quality and quality OGD data publication in Indonesia. So, the final aim of this study is to provide a future view for all policies that will be made by the Government related to OGD to include all parameters that support data transparency that can be used optimally by the general public so that actual data publication is achieved that does not protect authority or specific power

    Research on a dielectric silicon lens antenna and an attenuator in the THz region

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    doctoral創造科学技術大学院甲第868号Thesis or Dissertationapplication/pd

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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