• Journal of Digital Convergence
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• v.15 no.12
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• pp.555-561
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• 2017

The card-based user interface is one of the easiest navigation methods for smart phones, and many of the contents have recently been exposed as cards. In this paper, we have dealt with the definitions of cards and the components of cards used in smart phones. The card can play multimedia including various images and media, and serves as an entry point into detailed contents through the arrangement of buttons or actions. The card UI had different characteristics depending on the type, if it could be classified into basic type, timeline type, workflow type, and dashboard type. The basic type and the timeline type were not suitable for the hierarchy and order of information, and they were suitable for providing large contents. The workflow type was not significantly different from the amount of content, horizontal content arrangement was possible, and the dashboard type was analyzed to be suitable for providing various data as graph or number.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.389-391
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• 2022

Efforts by the Ministry of Environment and local governments in Korea are continuing to manage the aging of water supply and sewage buried underground. With the support of the Korea Institute of Environmental Industry and Technology's water and sewage innovation technology development project, it is conducting a project to predict and exchange accidents due to aging, and to apply smart functions to new buried pipes. As one of these studies, this paper proposes the design of a dashboard concept model for digital twin-based smart pipe health monitoring, one of the key features of the entire study. Since remote control and monitoring are one of the main functions, distributed transmission and reception agents are deployed to visualize monitoring situations in real time and to increase user affinity by deploying intuitive UI. To validate the design of this proposed special digital twin based smart pipe state monitoring, we construct the conceptual model level and measure the agent effectiveness to validate its excellence.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.19-29
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• 2020

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.367-368
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• 2020

최근 SocailNetworkService(SNS) 플랫폼은 중독을 유발하는 알고리즘을 통해서 시장점유율을 높이는 전략을 사용하고 있다. 이에 따른 부작용으로 일상생활에 무리가 갈 정도의 사용자가 나타나고 있다. SNS 중독 사용자는 스스로가 문제를 인지하고 있으나 자제를 못하고 있어 SNS 중독 완화를 돕는 어플리케이션이 개발되고 있다. 이러한 어플리케이션은 일정 부분 중독 완화에 도움은 주고 있으나 다음과 같은 문제점을 갖는다. 첫째 일반적으로 SNS 사용자는 여러 SNS를 동시에 사용하기 때문에 이를 통합하여 볼 수 있는 기능이 필요하다. 기존 어플리케이션에서는 특정 SNS만을 대상으로 하는 문제가 있다. 둘째 SNS의 사용량을 표현하는 방식이 단순이 그래프 형태로만 지원되어 다양한 정보 제공에 한계가 있다. 마지막으로 SNS의 과도한 사용에 대한 경각심을 새겨줄 수 있는 요소가 부족하다. 이 논문에서는 여러 SNS 사용량을 통합하여 제공하는 대시보드 기능, 게이미피케이션 요소를 접목하여 사용량을 다양한 가치로 보여주는 기능, 그리고 SNS 중독 정도에 따라 다양한 공포소구 메시지를 지원하는 기능을 통해 SNS 사용자의 중독 완화를 지원하는 어플리케이션을 제안한다.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.605-614
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• 2023

In In the era of digital transition, AI-based personalized services are emerging in the field of education. This research aims to examine the development strategies for implementing AI-based learning services in school. Focusing on AI-based math learning service "Math Cell" developed by i-Scream Edu, this study surveyed the functional requirements from the perspective of an educator. The results were analyzed for importance and suitability using IPA, and expert opinions were surveyed to explore specific development directions for the service. Consequently, importance in all areas such as diagnosis, learning, evaluation, and management averaged 4.82 and performance averaged 4.56, showing excellent results in most questions, and in particular, importance was higher than performance. Among certain detailed functions, concept learning, customized task presentation, evaluation result analysis function, dashboard-related functions, and learning materials in the dashboard were not intuitive for students to understand and had to be supplemented. This study provides meaningful insights by summarizing expert opinions on AI-based personalized mathematics learning services, thereby contributing to the exploration of the development strategies for "Math Cell".

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.613-616
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• 2009

Information present condition is using situation board by manual processing that is consisted of ship arrangement plan and letterpress and magnet etc. in Pyeongtaekhang's deep-sea fishing vessel company. Study that mark open sea far from land ship information of underway 37 ships that is accepted in every time in internet web application environment that is based on Ubiquitous Network in PC that is linked to internet. 3 through practical use of RIA of Flash technology base compose Digital Dash-Board in width grid structure only and do ship sailing addition that is operating in 6 oceans and latitude, hardness indication as well as various informations to do visual display do. Emphasized in dynamic Web Application construction because can heighten the convenience to operator and user, and take advantage of real time data.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.287-294
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• 2017

This study attempted to develop a beacon scanner based ward monitoring service in order to respond to the new paradigm of medical environment which is trying to introduce ICT technology as medical service to track and manage the spread path of large infectious diseases such as MERS. The study also included beacon hardware development, firmware development for the beacon low-power bluetooth 4.0, and server and web-based dashboard UI development. Using these, we have developed a customized monitoring system that provides functions such as locating patients by location based service and monitoring based on web UI. It is possible to maximize the efficiency of offline hospital services and to value active infection control and patient safety by integrating online technology into the area where online technologies such as beacons are not properly integrated.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.765-777
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• 2022

The purpose of this study is to present a digital transformation-based learning model that can be used in universities based on learning digital transformation in order f to be competitive in a rapidly changing environment. Literature review, case study, and focus group interview were conducted and the implications for the learning model from these are as follows. Universities that stand out in related fields are actively using learning analysis to implement dashboards, develop predictive models, and support adaptive learning based on big data, They also have actively introduced advanced edutech to classes. In addition, problems and difficulties faced by other universities and K University when implementing digital transformation were also confirmed. Based on these findings, a digital transformation-based learning model of K University was developed. This model consists of four dimensions: diagnosis, recommendation, learning, and success. It allows students to proceed with learning by diagnosing and recommending various learning processes necessary for individual success, and systematically managing learning outcomes. Finally, academic and practical implications about the research results were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1696-1707
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• 2021

With the recent growth of information technology, various literacy such as digital literacy, data literacy, AI literacy is being studied. In this paper, we focus on data visualization literacy as visualization is an essential part of big data analysis and is used in several mobile apps. Visualization Literacy Assessment Test(VLAT) was developed in 2016 and we introduce how the test was developed and modified to a Korean version, K-VLAT. K-VLAT is consisted of 12 visualizations and 53 questions through a website. Additionally, to understand the research trend in visualization literacy we analyzed 81 papers that had cited the VLAT publication. We categorized the research into 4 categories with 11 sub-categories. The area of studies visualization literacy related to was understanding the relation with cognition, expanding the literacy measures, relation with education, utilization for developing user-centric dashboards or using the test to show effectiveness of visualizations. At last, we discuss about different ways to utilize K-VLAT for future research.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.216-221
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• 2022

The 4th industrial revolution is accelerating the transition to digital innovation in various aspects of our daily lives, and efforts for manufacturing innovation are continuing in the manufacturing industry, such as smart factories. The 4th industrial revolution technology in manufacturing can be used based on AI, big data, IoT, cloud, and robots. Through this, it is required to develop a technology to establish a production facility data collection and analysis system that has evolved from the existing automation and to find the cause of defects and minimize the defect rate. In this paper, we implemented a system that collects power, environment, and status data from production facility sites through IoT devices, quantifies them in real-time in a cloud computing environment, and displays them in the form of MQTT-based real-time infographics using widgets. The real-time sensor data transmitted from the IoT device is stored to the cloud server through a Rest API method. In addition, the administrator could remotely monitor the data on the dashboard and analyze it hourly and daily.