• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.4
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• pp.57-62
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• 2014

Recently, research activities to develop services for providing safety information to the drivers in fast moving vehicles based on various wireless network technologies such as DSRC (Dedicated Short Range Communication), IEEE 802.11p WAVE (Wireless Access for Vehicular Environment) are widely being carried out. This paper presents a proof-of-concept model based on a robot-car for Dilemma Zone Decision Assistant Service using the wireless LAN technology. The proposed model system consists of a robot-car based on an embedded Linux OS equipped with a WiFi interface and an on-board unit emulator, an Android-based remote controller to model a human driver interface, a laptop computer to run a model traffic signal controller and signal lights, and a WiFi access point to model a road-side unit.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.283-288
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• 2019

This study investigated how consumer's uncertainty avoidance affect purchase deferral intention when purchasing high-involved products (i.e. laptops) in online shopping, and we looked at whether utilitarian/hedonic consumption value has a moderating effect in this relationship. Results showed the higher the uncertainty avoidance, the higher the deferral intention. Also, only the utilitarian consumption value had moderating effect in this relationship. This means that in an information overload situation like online shopping, consumers are more likely to delay their purchase intention when they have more uncertainty avoidance. Thus, to prevent this purchase delay, marketers should selectively present relative product information, strategically emphasize the importance of certain product attribution to reduce consumers' uncertainty of the product or highlight the utilitarian values of product attributes that are expected to have a significant impact on decision making.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.69-69
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• 2017

최근 여러 분야에서 드론에 대한 관심도가 높아짐에 따라, 하천분야에서도 다양한 연구에 드론이 활용하고 있다. 드론관련 기술의 발전으로 GPS와 같은 첨단 기술이 탑재되어 사용자에게 여러가지 정보를 제공하며, 조작 또한 간단하여 누구나 쉽게 활용할 수 있다. 그리고 무엇보다도 사람이 접근하기 힘든 지역을 쉽게 촬영할 수 있다는 큰 장점을 가지고 있다. 본 연구의 목적은 드론을 기반으로 표면영상유속측정법을 적용시켜 하천의 표면유속을 효율적으로 측정하는 것이다. 표면영상유속측정법은 카메라로 촬영된 영상을 이용하여 표면유속을 도출하기 때문에 촬영된 영상이 무엇보다도 중요하다. 하지만 드론으로 촬영된 영상들은 아무리 정지비행을 잘하더라도 필연적으로 영상에 흔들림이 존재한다. 이를 해결하기 위해 본 연구에서는 흔들린 영상에 대하여 형태 정합법에 의해 보정을 하였으며, 이는 가장 핵심적인 기술이라 할 수 있다. 형태 정합법에 의한 영상 보정 과정은 고정된 표정점을 영상에서 추적한 뒤, 기준 영상의 표정점과 보정 영상의 표정점이 일치하도록 보정하였다. 영상 보정 후 영상 처리와 분석프로그램을 통하여 유속을 도출한다. 기존의 표면영상유속측정법에서는 표정점을 설치한 후 각 표정점마다 측량을 실시하여 좌표를 측정하였다. 이는 한국건설기술연구원 안동하천실험센터와 같이 이상적인 실험을 진행할 수 있는 환경에서는 문제가 없다. 하지만 실제 하천에서 표면유속측정 시 하천의 폭, 주변 환경 등의 영향으로 측량작업에 많은 어려움이 있다. 이를 해결하기 위해 본 연구에서는 Arduino와 GPS센서를 이용하여 표정점을 구성하였다. Arduino와 GPS 센서를 이용하면 각 표정점들의 좌표를 노트북에서 실시간으로 자동으로 확인할 수 있다. GPS 센서의 측정 오차에 따라 관측 오차가 다소 존재하지만, 실제 측량을 할 때와는 비교할 수 없을 정도로 신속하게 표정점의 좌표를 구할 수 있다. 이를 바탕으로 실험 하천에 대해 적용한 결과 기존의 방법에 비하여 간편하고 빠르게 표면유속측정을 수행할 수 있었으며, 표면유속측정값 또한 만족스러운 결과를 얻을 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.383-386
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• 2014

Due to the development of communication technology, a conventional major business through PC, laptop or Tablet PC can be performed via a smartphone and it is increasing the user's convenience. At this point, the user prefers to connect to the Internet using the wireless network because it occurs an additional charge according to the amount of data to be transmitted when using a data communication through 3G or 4G. However, when using a wireless network, there is a possibility of several attacks such as easily steal or modulate the information from the outside or to gain access to personal information stored in the user's smartphone with man-in-the-middle attacks by using the fake AP. IIn this paper, we describe how you can detect the AP when you use LAN of the smartphone, were analyzed for this vulnerability, has not been approved. Furthermore, Also, we discuss ways which can enhance the security when user the access to the internet services (i.e., internet, public/private cloud service, etc.) via wireless network in smartphone.

• PNF and Movement
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• v.19 no.3
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• pp.391-399
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• 2021

Purpose: As laptop use increases throughout the COVID-19 pandemic and its use outside of traditional workstations proliferates, it is imperative to expand the limited research available regarding ergonomic exposure. This study aimed to identify the effects of a laptop supporter on biomechanical characteristics in the wrist joint muscles of healthy young adults. Methods: This was a cross-sectional observational study design with thirty-four healthy young adults as participants. They conducted a typing exercise performed under two different conditions, which were with and without a notebook computer supporter. This study measured the biomechanical characteristics of the muscles of the wrist joints including the flexor carpi ulnaris (FCU), the flexor carpi radialis (FCR), the extensor carpi radialis longus (ECRL), and the extensor carpi ulnaris (ECU). Measurements were taken three times: before typing, immediately after typing for 30 minutes with a supporter, and immediately after typing for 30 minutes without a supporter. The statistical method to compare the three different measurement conditions was the repeated measures ANOVA. Results: The participants showed significantly different levels of dynamic stiffness in both the FCU before typing and immediately after 30 minutes of typing with a supporter, and showed significantly different levels of dynamic stiffness in the FCR before typing and immediately after 30 minutes of typing with a supporter. The dynamic stiffness level immediately after 30 minutes of typing without a supporter was significantly different than that immediately after 30 minutes of typing with a supporter. However, the muscle tone was not significantly different among the three different conditions. Conclusion: The results of this study revealed that a laptop supporter used to correct the eye level of the electronic screen increases the dynamic stiffness of the wrist joint flexors, so it is necessary to consider the neutral position of the wrist joint during typing.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.106-113
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• 2019

The purpose of this paper is aimed to derive suggestions for convergence technology for effective management of distance education by analyzing a long-term case. The experiment was designed with notebook, smartphone or tablet based robot controlled by a remote instructor and a learner, who have experience of distance learning including robot assisted learning. The tablet based robot has the display system of feedback to speakers. During five months, three types of experiments were conducted randomly and a participant was interviewed thoroughly. The result, like the previous research, demonstrates that the task performance of the learner in telepresence robot-assisted learning was better than that in the notebook, and smartphone based. However, it is believed to be necessary to adjust the system for eye-contact and voice transmission for the remote instructor. The instructor required an additional sight by supplementing an extra camera and automatic direction control to source of sound.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.138-149
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• 2021

Our society is developing exponentially, but schools are not keeping up with the pace of society's development, and they are not providing digital literacy education suitable for the growth and development of students. Thus, this study identified the actual conditions and problems of digital literacy education at school sites and sought the direction of development of digital literacy education. By identifying the current state of schools in which the 2015 curriculum is operated, we sought the direction of the development of digital literacy education for our school. First, old digital devices should be replaced, laptops or smart devices should be provided for each student, and internet access should be available throughout the school. Second, digital literacy education should be provided to teachers by providing various training opportunities.Third, coding education where you can express what you think as logical thinking, Software training should increase the level of the algorithmic domain that shows the computational thinking process of discovering problems and automating a given problem into a computer programming language, there is enough robot that can be seen operating the program, digital parish will need to be delivered.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.1-9
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• 2021

Artificial intelligence (AI) devices are rapidly emerging as a core platform of next-generation information and communication technology (ICT), this study investigated consumer usage behavior and user experience through AI devices that are widely applied to consumers' daily lives. To this end, data was collected from 600 consumers with experience in using AI devices were derived to recognize the attributes and behavior of AI devices. The analysis results are as follows. First, music listening was the most used among various attributes and it was found that simple functions such as providing weather information were usefully recognized. Second, the main devices used by AI device users were identified as AI speakers, smartphone, PC and laptops. Third, associative images of AI devices appeared in the order of fun, useful, novel, smart, innovative, and friendly. Therefore, practical implications are suggested to contribute to provision of user services using AI devices in the future by analyzing usage behaviors that reflect the characteristics of AI devices.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.118-127
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• 2021

This study aims to examine satisfaction of nursing students with online classes during first semester of 2020 after COVID-19 pandemic and the difference in satisfaction according to general and online-related characteristics. An online survey was conducted for all nursing students, and subsequently 627 responses were analyzed by t-test and ANOVA with SPSS WIN. Result reveals that students ability to use IT devices was above average, and most of them used laptop computers. Pre-recorded video lecture format was used the most, and improvement of online content was demanded the highest. Overall satisfaction with online classes was scored 3.0/5.0, with the highest satisfaction for anytime and anywhere learning, and the lowest satisfaction in recommending online classes to others. There were significant differences between self-evaluation on own grade, ability to use IT devices, format of online classes, and satisfaction about online classes. Through this study, it would be possible to suggest a plan to increase satisfaction of online class and basic data to establish university policy for online classes after COVID-19.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.133-150
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• 2021

The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.