• Electronics and Telecommunications Trends
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• v.36 no.6
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• pp.46-54
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• 2021

Drone remote identification (ID) capability is essential to ensure public safety, help law enforcement, and secure the safety and efficiency of the national airspace. Remote ID technology can be used to differentiate compliant drones from illegal drones that pose a potential security risk by providing airspace awareness to the civil aviation agency and law enforcement entities. In addition, the increased safety and efficiency obtained by mandating remote ID will make it possible to operate drones over populated areas and beyond visual lines of sight. In addition, remote ID will allow drones to be safely integrated into unmanned traffic management systems and the national airspace. Remote ID devices can be categorized by type, i.e., broadcast remote ID or network remote ID. The broadcast remote ID, which has high technical maturity and will be applied in the near future, is primarily considered to ensure the security of drones. The network remote ID, which is being developed and tested and will be applied in the distant future, can be used additionally to ensure the safety and the efficiency of the national airspace. In this paper, we analyze the trends on regulation and standardization activities for drone remote ID primarily in the United State and Europe.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.11-20
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• 2015

In this paper, we develop an intelligent mobile surveillance system based on binary CDMA for the unmanned automatic tracking and surveillance. That is, we implement a intelligent surveillance system using the binary CDMA wireless communication technology which is applied the merit of CDMA and TDMA on it complexly. This system is able to monitor the site of the accident on network in real time and process the various situations by implementing the security surveillance system. This system pursues an object by the 360-degree using camera, expands image using a PTZ(Pan/Tilt/Zoom) camera zooming function, identifies the mobile objects image within a screen and transfers the identified image to the remote site. Finally, we show the efficiency of the implemented system through the simulation of the controlled situations, such as tracking coverage on objects, object expansion, object detection number, monitoring the remote transferred image, number of frame per second by the image output signal etc..

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.