• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.333-338
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• 2019

Satellite communication is not used by many people like mobile communication, but it is a necessary technology for public service and communication services, such as providing the Internet in military, disaster, remote education and medical services, island areas, and infrastructure vulnerable areas. However, most communication modems have problems with two-way communication with server as IP addresses are assigned to floating IP that change every time they communicate with the network. In this paper, we used the Raspberry Pi as the controller of the terminal device to communicate the network through the satellite modem and the PPP protocol, and to solve the problem of the modem with the floating IP, we used the text message function of the satellite modem. Through this process, two-way data links using the Thuraya geostationary orbit satellite were implemented.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.435-451
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• 2021

The purpose of the study is to explore the experience of participants who have provided a chidlcare service, and to suggest implications for childcare service for adolescent parents. The author used a purposive sampling method to select 3 cases with experiences related to childcare service, collecting data via direct interview and by obtaining a written text describing their case management. An inductive (open) coding approach was utilized to draw themes and categories from the data. The 6 categories describing service providing experiences of the study participants include "motives for participate a childcare service", "contents of service provided by participants", "tries to establish relationship with adolescent parents", "deepening of understand about adolescent parents", "limits of providing services". Implications and future directions were discussed for childcare services on adolescent parents having crisis related to childbirth and child rearing.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.35-45
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• 2021

The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.466-472
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• 2021

Speaker Change Detection (SCD) refers to finding the moment when the main speaker changes from one person to the next in a speech conversation. In speaker change detection, difficulties arise due to overlapping speakers, inaccuracy in the information labeling, and data imbalance. To solve these problems, TIMIT corpus widely used in speech recognition have been concatenated artificially to obtain a sufficient amount of training data, and the detection of changing speaker has performed after identifying overlapping speakers. In this paper, we propose an speaker change detection system that considers the speaker overlapping. We evaluated and verified the performance using various approaches. As a result, a detection system similar to the X-Vector structure was proposed to remove the speaker overlapping region, while the Bi-LSTM method was selected to model the speaker change system. The experimental results show a relative performance improvement of 4.6 % and 13.8 % respectively, compared to the baseline system. Additionally, we determined that a robust speaker change detection system can be built by conducting related studies based on the experimental results, taking into consideration text and speaker information.

• The Korean Journal of Archival Studies
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• no.68
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• pp.41-72
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• 2021

In order to analyze big data, documents should be converted to a open standard format to increase machine readability. It also need natural language processing tools. This study focused on the background of intelligent document processing and the status of research in the public sector, and predicted the changes in work that intelligent document processing would bring. This study noted the changes that intelligent document processing would bring to the archival work, and also considered changes in the role of archivist and their required competencies. Changes in archival work could be anticipated across a wide range of Records Management work and Archives Management work. In particular, it was expected to have a significant impact on the automation of repetitive archival tasks or the description and utilization of records. This study proposed the need to prepare new archival work procedures, methods, and necessary competencies in response to these change in archival work.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.207-220
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• 2021

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.23-28
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• 2018

Recent approaches to Relation Extraction methods mostly tend to be limited to mention level relation extractions. These types of methods, while featuring high performances, can only extract relations limited to a single sentence or so. The inability to extract these kinds of data is a terrible amount of information loss. To tackle this problem this paper presents an Augmented External Memory Neural Network model to enable Global Relation Extraction. the proposed model's Global relation extraction is done by first gathering and analyzing the mention level relation extraction by the Augmented External Memory. Additionally the proposed model shows high level of performances in korean due to the fact it can take the often omitted subjects and objectives into consideration.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1371-1378
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• 2018

Bluetooth is the key technology in the wireless connection of many Internet of Things (IoT) devices, especially focused on smartphones today. In addition, Bluetooth communication between the IoT device and the user is mainly performed via Bluetooth Low Energy (BLE), but as the Bluetooth technology gradually develops, the security vulnerability of the existing BLE is more prominent. Research on Bluetooth accessibility has been conducted steadily so far, but there is lack of research for data protection in Bluetooth communication. Therefore, in this paper, when sending and receiving data in BLE communication between IoT and users, we propose effective methods for communicating with each other through the Format Preserving Encryption Algorithm (FEA), not the plain text, and measures performance of FEA which is optimized in Arduino and PC.

• Journal of Korean Academy of Nursing
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• v.49 no.2
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• pp.113-125
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• 2019

Purpose: The purpose of this study was to examine the effects of a daily life-based physical activity enhancement program performed by middle-aged women at risk for cardiovascular disease. Methods: This study used a randomized control group pretest-posttest design. Middle-aged women aged 45 to 64 were recruited from two outpatient cardiology departments, and randomly assigned to an experimental group (n=28) and a control group (n=30). For the experimental group, after providing one-on-one counseling and education, we provided customized text messages to motivate them in daily life. To monitor the practice of physical activity, they also used an exercise diary and mobile pedometer for 12 weeks. Subjects' physical activities (MET-min/week) were measured using the International Physical Activity Questionnaire (IPAQ). Their physiological data were obtained by blood tests using a portable analyzer, and the data were analyzed using the SPSS 21.0/WIN program. Results: There were significant differences in exercise self-efficacy, health behavior, IPAQ score, body fat, body muscle, and fasting blood sugar between the two groups. However, there were no significant differences in total cholesterol, hemoglobin A1c, high-density lipoprotein cholesterol, and waist-to-hip ratio. Conclusion: Strengthening physical activity in daily life without being limited by cost burden and time and space constraints. Therefore, it is essential to motivate middle-aged women at risk for cardiovascular disease to practice activities that are easily performed in their daily lives.