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Information Collection of COVID-19 Pandemic Using Wikipedia Template Network
Danu Kim, Damin Lee, Jaehyeon Myung, Changwook Jung, Inho Hong, Diego Sáez-Trumper, Jinhyuk Yun, Woo-Sung Jung, Meeyoung Cha
http://doi.org/10.5626/JOK.2022.49.5.347
Access to accurate information is essential to reduce the social damage caused by the Coronavirus Disease 2019 (COVID-19) pandemic. Information about ongoing events, such as COVID-19, is quickly updated on Wikipedia, an accessible internet encyclopedia that allows users to edit it themselves. However, the existing Wikipedia information retrieval method has a limitation in collecting information, including relationships between documents. The template format of Wikipedia reflects the structure of information as a link that is selectively applied to documents with high relevance. This study collected information on COVID-19 in 10 languages on Wikipedia using a template and reorganized it into networks. Among the 10 networks with 130,662 nodes and 202,258 edges, languages with a large number of active users had a template network with a large size and depth, and documents highly related to COVID-19 existed within a 3-hop connection structure. This research proposed a new information retrieval method applicable to multiple languages and contributes to the construction of document lists related to specific topics.
Enhancing Throughput of Sensor Data Acquisition using Mobile Device Information in Internet of Things
Cheonyong Kim, Sangdae Kim, Seungmin Oh, Kwansoo Jung
http://doi.org/10.5626/JOK.2020.47.1.109
Internet of Things (IoT) is a technology to provide emerging applications, such as remote data collection. Recently, the active deployment of wireless sensors and the explosive increase in the number of mobile devices has enabled opportunistic data collection (ODC), in which mobile devices collect data from distributed sensors. In ODC, the sensor data can be collected without the additional overhead of installing and operating a network infrastructure. However, the time duration for data transfer cannot be guaranteed due to the unpredictable mobility of mobile devices in ODC. Therefore, existing studies have used a conservative flow control mechanism focusing on reliable data transfer. However, the conservative flow control degrades the data collection performance when the time duration for data transfer is sufficiently long. In this paper, an efficient flow control scheme was proposed for enhancing the data collection performance of ODC. The proposed scheme is based on the communication time between a mobile device and a sensor. The efficiency-oriented flow control mechanism is applied with a long communication time, while a short communication time leads to the reliability-oriented flow control mechanism. By using the proposed scheme, the data collection performance can be enhanced without degrading the reliability of data transfer.
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