• Information and Communications Magazine
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• v.31 no.12
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• pp.17-24
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• 2014

빅데이터, IoT, 클라우드 인프라 등 기술의 발달에 따라 일상생활 중에서도 개인과 환경의 변화에 대해 실시간 데이터 수집이 용이하게 되었다. 이를 활용하여 개인의 다양한 특성과 상황을 인지하고 다면적으로 의미를 분석할 수 있는 개인의 라이프스타일(lifestyle, 생활습관) 분석 기술이 중요하게 부각되고 있다. 이 라이프스타일 데이터는 개인의 질병이나 사회 심리적 문제의 원인 분석과 미래 트렌드의 변화예측을 할 수 있는 중요한 근거로 활용된다. 최근 이를 위한 연구로서 활동량, 스트레스, 위치, 수면 등의 라이프스타일 패턴을 추출하여 체계적인 프로세스로 삶의 질을 향상시키는 웰니스 (Wellness) 예측케어 서비스 연구와 서비스들이 활발히 진행되고 있다. 하지만 이러한 서비스를 제공하기에 앞서 개인의 복잡한 라이프스타일 패턴의 추출이 단편적으로만 이뤄지고 있어서, 패턴들 사이의 복잡한 관계를 분석하거나 연계 서비스로의 확장 및 라이프스타일 패턴의 재사용적인 측면에서의 문제가 어려운 이슈가 되고 있다. 이 때문에 웰니스 서비스의 신뢰도가 낮아 사용자가 단순히 재미로 느끼는 수준이거나 일회성에 그치는 모바일 어플리케이션 서비스를 제공받는 경우가 다반사이다. 본 논문에서는 IoT환경에서 다양한 스마트 디바이스에 의해 수집되는 라이프로그로 부터 라이프스타일 패턴 추출 및 모델링, 라이프스타일 패턴 분석으로부터 개인의 행동 추론 및 예측, 원인파악과 관련 지표를 정량적으로 설계하는 분석 엔진 개발 방안, 서비스 디자인을 통하여 실효적인 생활개선의 변화를 유도하는 기술, 개인의 심리적 특성까지 고려한 신뢰성 높은 케어 서비스 제공까지의 전반적인 웰니스 예측케어 서비스시스템 프로세스 및 플랫폼 설계 방안을 제시한다.

• Analytical Science and Technology
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• v.11 no.1
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• pp.1-7
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• 1998

This study focuses on developing a controlling and analyzing software for the portable atomic emission spectrometer equipped with an electrothermal vaporizer(ETV) that can perform the in-situ trace analysis of heavy metal ions dissolved in water. The software works well for a notebook PC and it is exclusively developed for the real time analysis with a line filter and a photomultiplier light detector. The program is designed to operate under Windows 95 environment and either Korean or English can be used as a main language. The Delphi 2.0 language software is mainly used for programing. The program is designed to make a calibration curve and the system users can get the analytical data in a short time. And a final report can be generated without having difficulties. This software can be easily modified for other analytical atomic spectrometers.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.305-305
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• 2015

도심지에서의 우수관거시스템의 경우 적정 설계빈도 기준에 따라 유입량에 따른 적정 통수능을 확보할 수 있도록 설계되고 있다. 유입량에 동반되는 토사량의 경우 관내 퇴적 방지를 위한 적정 설계유속 조건 반영을 통해 관내 퇴적이 이루어지지 않도록 고려하고 있다. 그러나 2011년 7월 우면산 토사피해, 2014년 8월 금정산 토사피해와 같이 실제 발생한 주요 침수피해들의 경우 다양한 피해발생 원인들 중 관로 내 토사퇴적에 따른 우수관로의 통수능력의 저하되는 문제점이 지적되었다. 설계 시 적절히 고려하지 못한 토사의 유입은 관내 토사 퇴적으로 이어지고 결과적으로 통수단면 저하에 따른 월류발생 및 도심지 내 침수피해가 발생으로 이어지게 된다. 따라서 이러한 문제를 해결하고 기존 관거의 통수능력을 적절히 확보하기 위해서는 관거 내의 퇴사량에 대한 분석과 이를 고려한 관로 설계가 필수적이다. 도시유역에서 일반적인 우수관거로 유입되는 토사의 경우 산지유역과 달리 비교적 작은 입경을 가진 토사들로 구성된다. 즉, 유입되는 토사량에 있어 입경의 적정 크기 및 분포에 따라서 관거내 토사 퇴적량이 달라지게 되며 이를 해소할 수 있는 유속 범위에 대한 분석이 필요하다. 본 연구에서는 토사 입경별 관내 유속에 따른 퇴적양상을 검토하기 위하여 특정 제원의 관거 및 우수관거로 유입되는 토사의 입경들을 기준으로 관내 수심의 변동에 따른 우수관거를 지나는 각입자별 부유 퇴적의 기준이 되는 한계유속 조건을 산정하였으며, 이를 고려한 관거의 경사도 조정을 통해 설계유량에 따른 관거 내 토사퇴적량 변화를 살펴보았다. 이때, 관로내에 일정량의 토사가 지속적으로 유입되는 것으로 가정하였으며, 유입되는 토사의 입경을 0.1mm~30.0mm까지 세분화하여, 유입되는 토사 전량에 대한 입경을 하나의 입경으로 고정시킨 조건으로 관내 유속에 따른 퇴적 양상의 변화를 검토하였다. 향후 해당 조건을 반영한 설계방안의 경우 설계강우에 대한 고려를 통하여 신뢰도 측면에서 관거내 토사의 퇴적과 유속 관계에 대한 분석을 바탕으로 이루어져야 하며, 이를 통하여 일반적인 관거의 설계 기준이 수립될 필요가 있다고 판단된다.

• Journal of the HCI Society of Korea
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• v.13 no.4
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• pp.25-34
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• 2018

This study is a literature study that analyzes empirical case study of Flipped learning application which has emerged as a method of future university education in Korea. The purpose of the study is to explore the use of digital media by learners in the Flipped learning applied courses in domestic universities considering current digital-based media environment. For this purpose, we analyzed the measurement variables and statistical significance of the preceding studies and analyzed the media utilization. The most important measurement variables were 'learning achievement' and 'class satisfaction', which were measures of effectiveness on the Flipped learning classes. All studies analyzed used media, but most studies focused on verifying the effectiveness of classroom classes, resulting in separate media utilization measurements in one study and statistically meaningful results for the 'video learning recognition' variable. The qualitative measurement related to the use of media for each study was presented as a separate analysis result. In the future, in order for effective follow-up studies on application of Flipped learning and digital media utilization, there are five main issues that need to be studied, which are securing the necessary treatment period for accurate effect measurement, etc.

• Fashion & Textile Research Journal
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• v.22 no.6
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• pp.853-861
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• 2020

Various types of clothing are being developed to boost thermal comfort during cold winters along with research on change of body temperature when heating is applied. There is a noticeable behavioral difference by gender when using heating panels in a cold environment; however, research on women has been insufficient. This study find a temperature range that provides sustainable thermal comfort in a low temperature environment by observing temperature and change of temperature when subjects are classified according to physical activities or cold sensitivities. For the study results, 8 women in their 20s were subjected to experiment in a low temperature environment for 75 minutes (sitting position: 30 min., running: 15 min., and sitting position: 30 min.). Subjects were asked to turn on/off the heating panel freely to analyze the range of comfortable temperature and clothing microclimate; in addition, skin temperature and heating panel temperature were measured and analyzed at 9 points. As a result, temperature at which subjects turn on and off the heating panel indicated a statistically meaningful difference between the cold sensitivity group depending on exercise or non-exercise. The range of comfortable abdomen temperature was wider than the lower back and was significantly reduced when the subject was running. The range of comfortable temperature was also largest for the heating panel temperature, microclimate, and skin temperature in suggesting that adequate adjustment will be required depending on the surrounding environment or movement of the wearer.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.97-110
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• 2022

Federated learning is a learning method capable of performing model learning without transmitting learning data. The IoT or healthcare field is sensitive to information leakage as it deals with users' personal information, so a lot of attention should be paid to system design, but when using federated-learning, data does not move from devices where data is collected. Accordingly, many federated-learning implementations have been developed, but detailed research on system design for the development and operation of systems using federated learning is insufficient. This study shows that measures for the life cycle, code version management, model serving, and device monitoring of federated learning are needed to be applied to actual projects and distributed to IoT devices, and we propose a design for a development environment that complements these points. The system proposed in this paper considered uninterrupted model-serving and includes source code and model version management, device state monitoring, and server-client learning schedule management.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.694-702
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• 2022

This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.4
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• pp.61-70
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• 2021

Purpose: The study aims at identifying patient-related and environmental factors associated with an increased risk of falling and, therefore, both caregivers and designers can be aware of fall risk factors and can contribute to prevent inpatient falls in their own areas of expertise. Methods: A case-control study has been conducted, utilizing patient data and physical environmental data in the unit of General Medicine in the United States. The case-control study investigated data about patients who had suffered falls as well as patients with similar characteristics (e.g., age, gender, and diagnosis) who did not suffer falls. Results: The study identified both patient-related and physical environmental factors associated with inpatient falls. Morse fall risk score, patient visibility, and patient accessibilityB were identified as significant predictors to inpatient falls, when controlling for other significant variables. Implications: The findings of the study can provide implications to both caregivers and healthcare and hospital environment designers. Caregivers should give special attention to patients with high Morse Fall Risk Scores to prevent inpatient falls. Designers also need to examine and to fine-tune the unit layout of inpatient care units to maximize each patient room's patient visibility from the rest of the unit and patient accessibilityB from working areas of nurses.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.735-745
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• 2023

The purpose of this study is to examine how the control of an agent according to a driver's social status affects user experience factors in a multi-user environment of self-driving vehicles. We conducted a user study where participants viewed four scenarios (route changing/parking x accepting/declining a fellow passenger's command) and answered a survey, followed by a post-hoc interview. Results showed that either the routing scenario or accepting a passenger's command scenario had higher usefulness (convenience, effectiveness, efficiency) than their counterparts. Regardless of the car owner's social status, participants rated AI agents more positively when they met their goals effectively. They also stressed that vehicle owners should always be in control of their agents. This study can provide guidelines for designing future autonomous driving scenarios where an agent interacts with a driver, and passengers.

• Convergence Security Journal
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• v.22 no.4
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• pp.119-127
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• 2022

A movie information program has a positive effect on the viewer's intention to watch the movie by providing an indirect experience of the movie based on trust. In order to increase the effectiveness of a movie information program, a data service that provides the additional information on the movies introduced in a movie information program has been studied. However, since the study limited the data service to one movie information program, it was difficult to apply it to the actual environment of general cable broadcasting companies or satellite broadcasting companies that transmit multiple movie information programs. Therefore, this study expanded the existing research limited to one movie information program to provide additional information of several movie information programs. This study is meaningful in that it suggests a data service that can be operated in the realistic environment of a broadcaster that actually transmits several movie information programs.