• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.423-424
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• 2019

인공지능 기술의 발전으로 딥러닝, 자연어처리 기술이 챗봇(채팅+로봇)에 적용되어 금융, 헬스케어, 여행, 방송 등의 분야를 중심으로 챗봇 시장이 확대되고 있다. 이러한 디지털 환경의 변화에 따라 전통문화 관련 개방 데이터를 활용한 전통문화 콘텐츠의 활성화 방안에 대해 살펴보고자 한다. 전통문화 소재는 영화, 드라마, 애니메이션 등의 소재로 활용 폭이 꾸준히 확대되고 있으나 현대적인 재창조의 폭넓은 대상이 되지는 못하고 있다. 팩트를 다루는 역사적 사실은 물론, 그 당시 살았던 사람들의 이야기 발굴에 대한 창작자들의 수요에 부응할 수 있는 체계적인 정보서비스로서의 전통문화 분야 인공지능(AI) 챗봇 서비스는 예비창작자와 일반인에게 창작의 유용한 가이드가 될 것으로 기대한다.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.291-297
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• 2015

The basic idea of IoT(Internet of Things) is interconnection and cooperation with a variety of things in real life such as Radio-Frequency Identification(RFID) tags, sensors, mobile phone, etc, through internet. IoT technologies which applied to these fields consist of sensor network technology and middleware, application. Currently, IoT technology is applied to various fields such as health care, home care, automotive, transportation, construction, agriculture, environment, food, and etc, based on its technologies. This paper focuses on discussion of the IoT development trend in game field. In order to achieve this purpose, first, the IoT technologies for game development based on sensor network technology and middleware, application is mentioned. Second, covers serious game and gamification that is expected to be a growing that is expected to be a growing, by applying IoT technologies to the game field. It can help for game developers by using IoT technologies.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.305-310
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• 2013

To provide medical services to patients who have a terminal illness, recent hospital patients to monitor the state of the device attached to the body, the body insertion device is. U-Healthcare Environment and hospital officials indiscriminately exploited by the patient's vital information, however, could threaten the patient's life problems are appearing. In this paper, depending on the level of authority, hospital officials, Union of ID-based authentication model is proposed to use a patient's vital information. Union proposed model identify different authentication system is used in hospitals that exist in various forms in a number of ID information, health / medical information sharing between hospitals without exposure to unnecessary personal information, you can be assured of the anonymity. In particular, with easy access to patient information, hospital officials about the malicious act to protect patient information to access level for the rights granted by third parties to prevent easy access.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.209-217
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• 2014

As an idea of healing or fatigue recovery, a desire for massage therapy has increased for modern people who complain of pain such as knotted muscles or shoulder discomfort due to fatigue accumulation and stress. To resolve this, although a massage chair has been developed, it does not provide the most efficient massage as it is not suitable for Korean body types. In this paper, this research analyzed massage, assembly, massage intensity, Korean body types and functions of the massage for maximized efficiency to design critical functions. Also, we implemented the action control and algorithm of the massage chair for localization.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.237-242
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• 2014

Integrated health care system, which is one of the developing solution technologies of IT, BT and NT, could give us new medical environments in future. Health care is one of the most concerned fields in convergence environments. Many studies on the development and application related with health care industry in recent years has been actively. Therefore, in this paper, we described current integrated medical system trends and future works.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.11
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• pp.1141-1148
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• 2016

This paper proposed a heart attack predictive monitoring system using QRS pattern of ECG for wearable healthcare. It detects abnormal heart pattern with a ECG (X, Y) coordinate pattern DB on wearable monitoring smart watch. We showed the acute heart failure prevention system and method with a proposed scheme. Especially, It proved the method which can do first aid in gold time through abnormal heart analysis with a digital ECG(X, Y) pattern information when acute heart failure occurs.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.33-40
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• 2016

Previous works for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods require accurate detection of ECG signal, higher computational cost and larger processing time. But it is difficult to analyze the ECG signal because of various noise types. Also in the healthcare system based IOT that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. Therefore it is necessary to design efficient algorithm that classifies different arrhythmia in realtime and decreases computational cost by extrating minimal feature. In this paper, we propose R wave detection considering complexity and arrhythmia classification based on binary coding. For this purpose, we detected R wave through SOM and then RR interval from noise-free ECG signal through the preprocessing method. Also, we classified arrhythmia in realtime by converting threshold variability of feature to binary code. R wave detection and PVC, PAC, Normal classification is evaluated by using 39 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.41%, 97.18%, 94.14%, 99.83% in R wave, PVC, PAC, Normal.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.313-320
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• 2013

The four-dimensional cycle simulator, which can recognize whether the road is ascent or descent, its gradient, and status of its surface on Virtual Reality, is introduced in this paper. On the base of these recognitions, various virtual motion path situations are displayed on LCD monitor attached ahead. These various situations may support not only the sense of realty but also an interest in a game in opposition to previous exercise cycles that might be monotonous. In this paper both analysis and estimation of basic bodily abilities for the four-dimensional cycling are addressed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.123-132
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• 2020

With increasing social interest in health and health promotion, the government and many organizations are conducting various health campaigns for the public. The public health campaign is aimed at protecting the people from the dangers of disease and contributing to a healthy life and also help establishing a healthy attitude and changing behavior as well. In addition, many researches have been carried out in order to enhance the advertising effect of campaigns aimed at forming preventive attitudes and to verify it by applying many theories. However, as a result, there is a significant lack of research regarding analysis of differences in the effectiveness of the campaign by media. This study is to analyze the effect of health campaign by the type of media which published health campaign advertisements that can affect prevention attitude. To meet the purpose of this study, The 15 print media were to examine the impact of media characteristics and types on participation in campaigns for health campaigns. Through this, we will present the role of the media as an efficient channel to encourage the formation and participation of the health attitude of campaign advertisements, and present significant implications in the selection of optimal media and the execution of campaign budgets.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.7-14
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• 2021

With the increased attention about healthcare and management of heart diseases, smart healthcare services and related devices have been actively developed recently. R wave is the largest representative signal among ECG signals. R wave detection is very important because it detects QRS pattern and classifies arrhythmia. Several R wave detection algorithms have been proposed with different features, but the remaining problem is their implementation in low-cost portable platforms for real-time applications. In this paper, we propose R wave detection based on optimal threshold and arrhythmia classification through QRS pattern considering complexity in smart healthcare environments. For this purpose, we detected R wave from noise-free ECG signal through the preprocessing method. Also, we classify premature ventricular contraction arrhythmia in realtime through QRS pattern. The performance of R wave detection and premature ventricular contraction arrhythmia classification is evaluated by using 9 record of MIT-BIH arrhythmia database that included over 30 premature ventricular contraction. The achieved scores indicate the average of 98.72% in R wave detection and the rate of 94.28% in PVC classification.