• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.571-580
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• 2019

Purpose: The purpose of this study is to examine the mediating effects of emotional venting via instant messaging (IM) and positive emotion in the relationship between negative emotion and depression. Methods: Online survey was conducted in Korea between 2 April and 7 April 2019. To obtain samples with representativeness, data were gathered by the professional research firm. A total of 250 Koreans were participated in this study. The collected data were analyzed using descriptive statistics, Pearson's correlation coefficients, and SPSS PROCESS macro to test the mediating effects. Results: This study analyzed the direct/indirect effects of negative emotion on emotional venting via IM, in the relationship between positive emotion and depression. Negative emotion had indirect effects on depression through emotional venting via IM and positive emotion. Both emotional venting via IM and positive emotion had dual mediating effects in the influence of negative emotion on depression. Conclusion: These results suggest that it is important to manage negative emotion to prevent depression. Also, this study confirmed that emotional venting via IM is a powerful factor influencing emotional recovery.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.1-7
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• 2020

As the performance of mobile devices has dramatically improved, users can perform many tasks in a mobile environment. This means that the use of behavior information stored in the mobile device can tell a lot of users. For example, a user's text message and frequently used application information (behavioral information) can be utilized to create useful information, such as whether the user is interested in parenting(profile prediction). In this study, I investigate the behavior information of the user that can be collected in the mobile device and propose the item that can profile the user. And I also suggest ideas about how to utilize profiling information.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.583-590
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• 2006

유비쿼터스 시대가 도래 하면서 그 변화의 중심은 모바일에 집중되고 있다. 모바일 컨텐츠는 문자 메시지 서비스(SMS)로부터 시작하여 멀티미디어 컨텐츠 서비스(MMS)로 발전하였다. 현재 DMB 서비스로 발전한 모바일 서비스는 앞으로 유비쿼터스 시대에 흐름과 기기의 발전에 따라 더욱 발전할 것으로 예상된다. 따라서 현재 모바일의 상호작용성과 기기적 특성을 이용한 컨텐츠 개발이 그 어느 때보다 필요한 시점이다. 모바일 기기에서 게임, 벨소리, 광고, 동영상, 캐릭터 등 다양한 컨텐츠가 제공되고 있다. 그 중에서도 애니메이션은 배경화면과 캐릭터 서비스로 모바일 기기에서 가장 널리 쓰이는 컨텐츠로 자리 잡았다. 그러나 이러한 컨텐츠들은 모바일의 기기가 양방향성의 특성을 가지고 있음에도 불구하고 게임을 제외한 컨텐츠들은 일방향성에 그치고 있는 실정이다. 인터렉티브 애니메이션(Interactive animation)은 사용자가 수동적으로 보는 것과 달리 매개체를 이용하여 보다 능동적으로 볼 수 있는 애니메이션을 말한다. 인터렉티브 애니메이션은 양방향의 모바일 기반으로 적합하며, 사용자에게 새로운 경험을 줄 것이라 기대한다. 이에 본 논문은 모바일 애니메이션의 현황과 Flash Lite 2.0 에 의한 제작방법, 모바일 인터렉티브 애니메이션의 제작 실례를 통해 인터렉티브 애니메이션 컨텐츠 제작의 가능성을 제시한다.

• 전자공학회논문지 IE
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• v.47 no.3
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• pp.1-6
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• 2010

In this paper, it is designed a processor using embedded system so that moving picture can be expressed on LED electric sign board which has been expressed a simple message only like as a character or graphic. It has been fabricated a moving picture LED electric sign board which is composed to a video processor and LED display panel, in order to be able to express a digital moving picture of 24 bits that is transmitted from embedded system. It includes gamma adjustment, brightness, color contrast control, a schedule function, expression image conversion by the Internet and memory device. Also, an application program based Windows CE is designed so that a character, graphic, and moving picture can be expressed on a small LED electric sign board.

• The Journal of Bigdata
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• v.1 no.1
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• pp.33-39
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• 2016

Recently, predicting personality with the help of smartphone usage becomes very interesting and attention grabbing topic in the field of research. At present there are some approaches towards detecting a user's personality which uses the smartphones usage data, such as call detail records (CDRs), the usage of short message services (SMSs) and the usage of social networking services application. In this paper, we focus on the assessing the correlation between MBTI based user personality and the smartphone usage data. We used $Na{\ddot{i}}ve$ Bayes and SVM classifier for classifying user personalities by extracting some features from smartphone usage data. From analysis it is observed that, among all extracted features facebook usage log working as the best feature for classification of introverts and extraverts; and SVM classifier works well as compared to $Na{\ddot{i}}ve$ Bayes.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.2
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• pp.235-241
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• 2006

Purpose: The purpose of this study was to evaluate the effect of a six month web-based diabetic education on plasma glucose in people with diabetes. Method: A randomized design with control and experimental groups being assessed pre- and post-intervention was used. Seventeen patients were randomly assigned to a control group and 18 to an experimental group. Participants were requested to input the blood glucose level weekly to http://www.biodang.com by cellular phone or wire Internet for 6 months. The researcher sent optimal recommendations to each patient using the short message service (SMS) for cellular phone and wire Internet. Messages were sent weekly for 6 months. Results: Glycosylated hemoglobin ($HbA_1c$) decreased 1.5 percentage points at 3 months and 1.4 percentage points at 6 months compared with baseline in the intervention group. Patients in the intervention group had a decrease in 2 hours post meal glucose (2HPMG) of 94.3mg/dl at 3 months and 82.5mg/dl at 6 months compared with baseline. Conclusion: This web-based intervention using SMS for cellular phone improved HbAlc, and 2HPMG for six months in patients with type 2 diabetes.

• Korean Journal of Applied Biomechanics
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• v.31 no.1
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• pp.37-43
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• 2021

Objective: The purpose of this study was to investigate the effect of mobile phone text messaging on the collision avoidance strategy for an approaching and stationary pedestrian. Method: Eighteen healthy young adults participated in this study. Each participant was asked to perform a task to walking with/without mobile phone text messaging and a task to avoid collisions with another pedestrian who was approaching or stationary during walking. Results: When text messaging with avoidance collision, it showed an early onset time, a larger mediolateral COM trajectory, trunk rotation angle and trunk rotation velocity (p<.05). Also, compared to an approaching pedestrian, when avoiding collision with a stationary pedestrian, it showed a later onset time, a lager avoidance displacement, mediolateral COM trajectory, trunk rotation angle (p<.05). Conclusion: Results suggest that mobile phone text messaging while collision avoidance leads to delay the perception stage and alters the adaptation stage. Consequently, pedestrian executed in an exaggerated avoidance action to create a greater safety margin when attending to mobile phone test messages while avoiding another pedestrian.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.199-200
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• 2021

최근 어린이 보호구역 내에서의 운전자의 부주의로 사망 혹은 상해 사고를 일으킨 가해자를 가중 처벌하는 내용의 '민식이법'이 발의됨에 따라 많은 운전자들이 보호구역을 주행할 때 많은 부담감을 느끼며, 이에 대한 운전자의 부담감과 사고 피해를 최소화할 수 있는 시스템이 필요하다. 본 논문에서는 OpenCV 영상인식기술과 OCR 문자인식기술인 Tesseract를 이용해 노약자 보호구역 표지판을 인식하여 법정 제한속도를 준수하며 갑작스러운 장애물 등장 시 급정거하여 사고피해를 최소화하고, 또한, 사용자에게 알람 메시지를 전송하는 시스템을 제안한다.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.285-293
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• 2017

They are rapidly evolving malicious attacks on smart devices, and to timely protect the smart devices from these attacks has become a very important issue. In particular, smishing attack has emerged as one of the most important threats on the smartphone. In this paper, we propose the cloud service that can fundamentally protect the user from the risk of smishing attack. The proposed scheme provides cloud messaging service that can filter text messages including URLs in the user's smart device, view and manage them through a virtual machine provided by a cloud server. The existing techniques for preventing smshing attacks protect only malicious code of a known pattern and there is the possibility of error such as FP(False Positive) or FN(False Negative). However, since the proposed method automatically filters all text messages including URLs, storing, viewing, and managing them in their own storage space on the cloud server, it can completely block the installation of malwares(malicious codes) on the user's smart device through smishing attacks.

• Science of Emotion and Sensibility
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• v.13 no.4
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• pp.613-620
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• 2010

The purpose of this study was to quantitatively evaluate the effects of the secondary task while simulated driving using the variable indicating control of vehicle and smoothness of motion. Fifteen healthy adults having 1~2years driving experience were participated. 9 markers were attached on the subjects' upper(shoulder, elbow, Wrist) and lower(knee, ankle, toe) limbs and all subjects were instructed to keep the 30m distance with the front vehicle running at 80km/hr speed. Sending text message(STM) and searching navigation(SN) were selected as the secondary task. Experiment consisted of driving alone for 1 min and driving with secondary task for 1 min, and was defined driving and cognition blocks respectively. To indicate the effects of secondary task, coefficient of variation of distance between vehicles and lane keeping(APCV and MLCV) and jerk-cost function(JC) were analyzed. APCV was increased by 222.1% in SN block. MLCV was increased by 318.2% in STM and 308.4% in SN. JC were increased at the drivers' elbow, knee, ankle and toe, especially the total mean JC of lower limbs were increased by 218.2% in STM and 294.7% in SN. Conclusively, Performing secondary tasks while driving decreased the smoothness of motion with increased JC and disturbed the control of vehicle with increased APCV and MLCV.