• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.73-92
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• 2020

This article addresses the possibility of developing a new art appreciation method using olfaction, which was not previously considered an important sense in expanding the cultural enjoyment of visually impaired people. The human olfactory system is a faculty that is not considered very important in modern society; however, this is due to cultural factors, and from a biological point of view, the human sense of smell has sufficient potential for practical application. In this study, it is assumed that when various types of scent are perceived through this sense of smell, each has its own unconscious relation to color and concept, which researchers have termed "color directivity" and "concept directivity." Through experiments, the researchers found that some specific scents have color directivity and concept directivity, and in using these scents, they succeeded in delivering information about colors used in artworks to the visually impaired. Based on this study, we hope to continue our research on the use of color-concept directional scents that can convey the brightness and saturation of colors and more diverse hues.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.1
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• pp.21-29
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• 2021

The emerging smart world based on IoT requires deployment of a large number of diverse sensors to generate data pertaining to different applications. Recent years have witnessed a plethora of IoT solutions beneficial to various application domains, IoT techniques also help boost agricultural productivity by increasing crop yields and reducing losses. This paper presents a predictive IoT smart farm platform for forcast services. We built an online agricultural forecasting service that collects microclimate data from weather stations in real-time. To demonstrate effectiveness of our proposed system, we designed a frost and pest forecasting modes on the microclimate data collected from weather stations, notifies the possibilities of frost, and sends pest forecast messages to farmers using push services so that they can protect crops against damages. It is expected to provide effectively that more precise climate forecasts thus could potentially precision agricultural services to reduce crop damages and unnecessary costs, such as the use of non-essential pesticides.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1337-1342
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• 2019

Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.489-493
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• 2020

The technological development of the Fourth Industrial Revolution is accelerating the development of the world and society. Fourth industrial technology is connected to Cyber World to develop national and social infrastructure. The application of the fourth industrial technology can create Cyber-city and Cyber-life systems. In the ICT business industry that connects Cyber with the real world, we need to connect Cyber with real-life work. It is to use AR business cards as one of the ways to connect Cyber business with real business. When an AR business card is recognized as a smartphone, a 3D character appears to introduce the main character of the business card. In addition, AR business cards are reflected in AR for product and service of business operators, enabling promotion of products, services, etc. Using connected wired and wireless 5G communication, real-time e-commerce is also possible. In this paper, AR business card will be produced with Source Coding and AR business card platform will be designed.

• Journal of Platform Technology
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• v.8 no.1
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• pp.24-32
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• 2020

This paper designed and manufactured a chip mounter based on 3D printer technology that can be used for educational research or sample production to disseminate chip mounter, a core technology of SMT line. A stepper motor with open loop control is used for low cost drive design. The shortcomings of the motor's vibration and disassembly caused by the use of the step motor were compensated by the Micro-Step control method. In the chip mounter experiment, the gerber file was generated on the small chip mounter, printed at the actual size, and the solder cream was printed on the HASL-treated PCB in the same manner as the sample board fabrication. As a result of the experiment, unlike the 2012 micro components, parts such as SOIC and TQFP that require correction are twice as long as the component mounting time, but it can be confirmed that they are mounted relatively accurately. In addition, as a result of repeatedly measuring the error of the initial position 10 times, it was confirmed that a relatively small error of about 0.110mm occurs.

• Journal of Platform Technology
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• v.8 no.2
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• pp.10-21
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• 2020

The use of WiFi is gradually increasing through the spread of mobile terminals and the development of data communication. Mobile Internet usage has been steadily increasing from the 2000s to the present. Almost all households in Korea have smart devices, and 90% of the population uses mobile Internet. Due to this trend, the government is currently constructing public WiFi zones in dense urban areas as a way to reduce communication costs. The WiFi usage in the public WiFi zone is increasing every year. Therefore, in this paper, we propose a method for using such public WiFi efficiently. A mobile terminal collects WiFi information and constructs a WiFi zone in a map using a concave hull algorithm. In the map, the mobile terminal provides a route through many public WiFi areas. As a result, the WiFi usage of the mobile terminal is increased through more WiFi regions.

• Journal of Platform Technology
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• v.8 no.1
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• pp.16-23
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• 2020

For protecting copyright for trademark, convolutional neural network can be used to confirm genuine of trademark image. For this, repeated training one trademark image degrades the performance of machine learning because of overfitting problem. Therefore, this type of machine learning application generates training data in various way. But if genuine trademark image is rotated, this image is classified as not genuine trademark. In this paper, we propose the way for extending training data to confirm genuine of trademark image which is rotated. Our proposed way generates rotated image from genuine trademark image as training data. To show effectiveness of our proposed way, we use CNN machine learning model, and evaluate the accuracy with test image. From evaluation result, our way can be used to generate training data for machine learning application which confirms genuine of rotated trademark image.

• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.17-21
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• 2021

In 2020, the coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented disruptions to global health systems. The Korea has taken full-fledged actions against this novel infectious disease, swiftly implementing a testing-tracing-treatment strategy. New obligations have therefore been given to the Health Insurance Review and Assessment Service (HIRA) to devote the utmost effort towards tackling this global health crisis. Thanks to the universal national health insurance and state-of-the-art information communications technology (ICT) of the Korea, HIRA has conducted far-reaching countermeasures to detect and treat cases early, prevent the spread of COVID-19, respond quickly to surging demand for the healthcare services, and translate evidence into policy. Three main factors have enabled HIRA to undertake pandemic control preemptively and systematically: nationwide data aggregated from all healthcare providers and patients, pre-existing ICT network systems, and real-time data exchanges. HIRA has maximized the use of data and pre-existing network systems to conduct rapid and responsive measures in a centralized way, both of which have been the most critical tactics and strategies used by the Korean healthcare system. In the face of new obligations, our promise is to strive for a more responsive and resilient health system during this prolonged crisis.

• Smart Media Journal
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• v.9 no.4
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• pp.9-16
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• 2020

Recently, various studies are being conducted to integrate Image Segmentation into smart factory industries and autonomous driving fields. In particular, Image Segmentation systems using deep learning algorithms have been researched and developed enough to learn from large volumes of data with higher accuracy. In order to use image segmentation in the autonomous driving sector, sufficient amount of learning is needed with large amounts of data and the streaming environment that processes drivers' data in real time is important for the accuracy of safe operation through highways and child protection zones. Therefore, we proposed a novel DFCN algorithm that enhanced existing FCN algorithms that could be applied to various road environments, demonstrated that the performance of the DFCN algorithm improved 1.3% in terms of "loss" value compared to the previous FCN algorithms. Moreover, the proposed DFCN algorithm was applied to the existing U-Net algorithm to maintain the information of frequencies in the image to produce better results, resulting in a better performance than the classical FCN algorithm in the autonomous environment.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.39-46
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• 2022

The overall digital transformation in society is rapidly progressing with the corona virus epidemic. In particular, in the field of cultural heritage and museums, digital transformation is taking place throughout the preservation, management, and utilization of cultural heritage. To respond to this, the importance of cultivating the digital literacy of museum professionals to select and utilize digital cultural heritage information is increasing. However, the current digital capacity education of museum professionals has not reached the cultivation of digital literacy due to one-way theory and one-way practical education. To overcome this, we propose a digital capacity building program using virtual museums. We propose a curriculum based on participatory museums, cooperative learning, and project-based learning theories. Learners experience the entire process of acquiring, selecting, and utilizing digital cultural heritage information through individual, cooperative, constant, exhibitions, and project-based learning programs. We were evaluated by experts in terms of education, museum education, and ICT technology education to prove its usability and derive improvements. This study will contribute to building the digital capacity of museum professionals.