• Journal of Convergence for Information Technology
• /
• v.10 no.1
• /
• pp.60-74
• /
• 2020

Nursing education using virtual reality simulation (VRS) has emerged as a new teaching method for improving nursing student's knowledge as well as of competency for clinical nursing skill. The purpose of this study was to analyze the effects of nursing education using VRS through an integrative analysis on quantitative and qualitative research. Through quality assessment on the total 382 studies, 17studies (12 quantitative and 5 qualitative) were finally selected. Contents of the 17 studies were reviewed and those with respect to four aspects were gathered: the condition, knowledge, and attitude for effective education using VRS, and the effects of nursing education using VRS on the practice. Readiness of the use of virtual reality device, mastsering of the platform, and interesting scenario were required condition for effective education. The effects of nursing education adopting virtual reality convergence simulation oin terms of knowledge, attitude, and practice included enhancement of the knowledge and extension of the knowledge, improvement in memorizing the process and sequence of the practice through repetitive education, and development of empathy ability and formation of rapport. Hence, adopting virtual reality to convergence simulation of nursing education can maximize the effect of the education.

• Journal of the Korean Society for Computer Game
• /
• v.31 no.4
• /
• pp.157-166
• /
• 2018

Communication between customers and service providers is an important issue at sites where various businesses and transactions take place. In particular, the ability to solve problems quickly and accurately when a problem arises and when an inquiry is received is directly linked to trust in the site. In this paper, we propose a method of handling complaints and inquiries of site users by using chatbot technology on talent market platform site. First, we implemented chatbot that can communicate with the inquirers in real time, so that users can use the site usage and word search functions. For various errors and problems of the site which can not be defined by a few words or sentences, I have specified an error code and database it. Users of the site were able to contact chatbot with the error code that was output when an error occurred and get the corresponding response in real time. The chatbot implemented in this study provided a satisfactory experience because that was able to provide quick and accurate answers to users who experienced errors or inquiries when using the site. This will have a positive impact on the credibility and favorability of the site over the long term, and will help reduce manpower and time costs for error inquiries.

• Journal of the Korea Convergence Society
• /
• v.12 no.10
• /
• pp.19-25
• /
• 2021

This study contains the results obtained after two and a half years of developing a knitting customization website using a knitting machine. Recently in the fashion world, various services using customization are being provided, and devices that users can design directly using knitting machines are being developed. However the existing website for knitting machine does not provide a certain usability or layout, so it is difficult for users to use open source and custom design. Therefore, this study was conducted for the purpose of developing a website that provides ease of use to users who will use the knitting customizing service using a knitting machine. As a research method, the first usability evaluation was conducted by synthesizing the studies conducted for the knit customization website development work. As a result of the study, found the problems of the initial custom screen and the initial output screen were found, and convenience, intuition, and readability were improved. Secondary usability evaluation was conducted on the modified website and it was confirmed that the problem was corrected. Through the website finally derived from this study, it is expected that the new platform in the domestic knit market will be popularized and the usability of the custom website will be improved.

• The Journal of the Acoustical Society of Korea
• /
• v.40 no.5
• /
• pp.523-529
• /
• 2021

In this paper, we designed and developed an Emotional Speech Synthesis Markup Language (SSML) processor. Multi-speaker emotional speech synthesis technology that can express multiple voice colors and emotional expressions have been developed, and we designed Emotional SSML by extending SSML for multiple voice colors and emotional expressions. The Emotional SSML processor has a graphic user interface and consists of following four components. First, a multi-speaker emotional text editor that can easily mark specific voice colors and emotions on desired positions. Second, an Emotional SSML document generator that creates an Emotional SSML document automatically from the result of the multi-speaker emotional text editor. Third, an Emotional SSML parser that parses the Emotional SSML document. Last, a sequencer to control a multi-speaker and emotional Text-to-Speech (TTS) engine based on the result of the Emotional SSML parser. Based on SSML which is a programming language and platform independent open standard, the Emotional SSML processor can easily integrate with various speech synthesis engines and facilitates the development of multi-speaker emotional text-to-speech applications.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.6
• /
• pp.251-257
• /
• 2021

An underwater platform operating a passive sonar needs to acquire the target position to perform its mission. In an environment where sea-floor reflections exist, the position of a target can be estimated using the difference in the arrival time between the signals received through multipaths. In this paper, a method of localization for passive sonar is introduced, based on the EKF (Extended Kalman Filter) using the multipath time difference of arrival in underwater environments. TMA (Target Motion Analysis) requires accumulated measurements for long periods and has limitations on own-ship movement, allowing it to be used only in certain situations. The proposed method uses an EKF, which takes measurements of the time differences of the signal arrival in multipath environments. The method allows for target localization without restrictions on own-ship movement or the need for an observation time. To analyze the performance of the proposed method, simulation according to the distance and depth of the target was performed repeatedly, and the localization error according to the distance and water depth were analyzed. In addition, the correlation with the estimated position error was assessed by analyzing the arrival time difference according to the water depth.

• Journal of the Korea Convergence Society
• /
• v.13 no.4
• /
• pp.233-244
• /
• 2022

One of the most noteworthy topics in recent corporate management is ESG(Environmental, Social, Governance). Although there are many companies that have declared ESG management, KT has declared full-fledged ESG management in 2021 and is sharing its sustainable management strategy with stakeholders. In addition, KT is strengthening ESG management by issuing ESG bonds for the first time in the domestic ICT industry. At a time when the information technology industry became more important due to COVID-19, this study attempted to examine KT's ESG management goals and strategies by dividing them into environmental, social, and governance areas. KT was aiming to achieve environmental integrity through 'environmental management', 'green competence', 'energy resources', and 'eco-friendly projects' in the environmental field. In addition, in the social field, genuine creating social value was pursued through 'social contribution', 'co-growth', and 'human rights management'. Finally, in the governance area, it was aiming for a transparent corporate management system to pursue economic reliability through 'ethics and compliance' and 'risk management'. In particular, KT was promoting its own ESG management by promoting strategies to solve environmental and social problems using AI and BigData technologies based on the characteristics of a digital platform company. This study aims to derive implications for ESG strategy establishment and ESG management development direction through KT's ESG management case in relation to ESG management, which has emerged as a hot topic.

• The Journal of the Korea Contents Association
• /
• v.22 no.6
• /
• pp.666-679
• /
• 2022

With the development of information and communication technology, borders are removed and consumer needs are diversified, so a new consumption form called overseas direct purchase has emerged and has been growing over the past few years. In this study, for the most common purchasing agency service among various types of overseas direct purchase, an empirical study was conducted on the effects of the content and logistics attributes of the overseas direct purchase platform on the perceived value and purchase intention of consumers. Data were collected from 273 domestic male and female adult consumers who had experience in information search related to overseas direct purchase, and the results of statistical analysis were summarized as follows. First, among the attributes of overseas direct purchase content and logistics attributes, only the attractiveness of content had a significant effect on the perceived value of consumers. Second, all perceived values of consumers were linked to purchase intentions, but among them, sensory values had a greater influence. Through these research results, it is suggested to increase the attractiveness of the web/app contents of overseas direct purchase service agents, and to improve the quality of services that can arouse sensory consumption experiences to meet the changing needs of consumers.

• Journal of the Korean Society of Earth Science Education
• /
• v.14 no.1
• /
• pp.33-47
• /
• 2021

This study developed a big data-based STEAM (Science, Technology, Engineering, Art & Mathematics) program using WWT (World Wide Telescope), focusing on content elements of 'solar system', 'star and universe' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to one middle school 176 students simple random sampled. The results of this study are as follows. First, we developed a program to encourage students to actively and voluntarily participating, utilizing the astronomical data platform WWT. Second, in the paired t-test based on the difference between the pre- and post-scores of the creative problem solving measurement test, significant statistical test results were shown in 'idea adaptation', 'imaging', 'analogy', 'idea production' and 'elaboration' sub-factors except 'attention task' sub-factor (p < .05). Third, in the paired t-test based on the difference between the pre- and post-scores of the STEAM attitude test, significant statistical test results were shown in 'interest', 'communication', 'self-concept', 'self-efficacy' and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p < .05). Fourth, in the STEAM satisfaction test conducted after class application, the average values of sub-factors were 3.16~3.90. The results indicated that students' understanding and interest in the science subject improved significantly through the big data-based STEAM program using the WWT.

• Journal of Digital Convergence
• /
• v.20 no.2
• /
• pp.203-215
• /
• 2022

The study is to investigate research trends and knowledge structures in the Smart Farm field. To achieve the research purpose, keywords and the relationship among keywords were analyzed targeting 104 Korean academic journals related to the Smart Farm in KCI(Korea Citation Index), and topics were analyzed using the LDA Topic Modeling technique. As a result of the analysis, the main keywords in the Korean Smart Farm-related research field were 'environment', 'system', 'use', 'technology', 'cultivation', etc. The results of Degree, Betweenness, and Eigenvector Centrality were presented. There were 7 topics, such as 'Introduction analysis of Smart Farm', 'Eco-friendly Smart Farm and economic efficiency of Smart Farm', 'Smart Farm platform design', 'Smart Farm production optimization', 'Smart Farm ecosystem', 'Smart Farm system implementation', and 'Government policy for Smart Farm' in the results of Topic Modeling. This study will be expected to serve as basic data for policy development necessary to advance Korean Smart Farm research in the future by examining research trends related to Korean Smart Farm.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.5 no.5
• /
• pp.471-479
• /
• 2015

This study was conducted to make use of Korea Meteorological Administration(KMA)'s Automatic Weather Station(AWS) data to operate smart green greenhouse. A Web-based KMA AWS data receiving system using JAVA and APM_SETUP 8 on windows 7 platform was developed. The system was composed of server and client. The server program was developed by a Java application to receive weather data from the KMA every 30 minutes and to send the weather data to smart greenhouse. The client program was developed by a Java applets to receive the KMA AWS data from the server every 30 minutes through communicating with the server so that smart greenhouse could recognize the KMA AWS data as the ambient weather information. This system was evaluated by comparing with local weather data measured by Inc. Ezfarm. In case of ambient air temperature, it showed some difference between virtual data and measured data. But, the average absolute deviation of the difference has a little difference as less than 2.24℃. Therefore, the virtual weather data of the developed system was considered available as the ambient weather information of the smart greenhouse.