• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.335-336
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• 2016

본 논문에서는 인문계 대학생과 이공계 대학생들의 스마트폰 사용이 어떻게 다른지 그 차이점을 알아보고 자기통제력 척도를 활용하여 자기통제력 정도를 측정하고 자기통제력 정도에 따라 표준화된 스마트폰중독 진단척도를 사용하여 측정한 스마트폰 중독 정도를 두 계열 학생들이 유형을 서로 비교해보고 각각의 전공분야에 맞는 바람직한 스마트폰 활용 방안을 모색해 보고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.2
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• pp.191-202
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• 2006

Computer programs for a structure design help the optimum design that considers each condition. however, the findings can not explain accurately a behavior of the real-living structure because each condition of a structure is simplified and generalized. The smart structure is introduced to overcome these problems, and we can understand a behavior of the real-living structure by means of Health Monitoring System. In this study, we compare a behavior by means of the existing structure design with a behavior of the living structure by means of an experiment. As a result, we examine adequacy of a measuring system and developing possibility in the future.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.341-346
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• 2008

This paper is to develop a monitoring system with diagnosis for smart cargo sensors that is for management and maintenance of the liquid cargo ships. The main goal of the system is to achieve the total automation system of the cargo sensor. By this study, the active smart sensor for the liquid cargo ships is designed and developed that guarantees high-confidence, stability, and durability. The proposed system consists of a monitoring part of the steam pressure, high-level monitoring, over flowing monitoring, gas monitoring, and tank temperature monitoring. The signals transferred from each unit system are used for sensor diagnosis based on confidence and accuracy. Finally, in this study, the total supervisory monitoring system is developed to maintain and manage the cargo effectively based on fault diagnosis and prognosis of the each sensor system.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.05b
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• pp.155-163
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• 2005

최근, 국내에서는 스마트홈 기술이 공동주택인 아파트를 중심으로 점차 도입되고 있는 실정이다. 스마트홈의 주거공간은 홈네트워크를 기반으로 하는 다양한 정보(가전)기기들이 활용되고 있다. 이러한 주거생활환경에 의해 전기에너지의 의존도가 지속적으로 증가하고 있어, 먼저 스마트 홈 환경하 수용가 변압기 2차측에서의 전기합선과 누전에 대한 전기안전 및 진단의 기반기술을 제시한다. 다음으로, 주거시스템이 지능형홈으로 발전함으로서, 소비 전기량이 급속히 증가하는 추세이다. 따라서 본 논문에서는 홈거주자의 정보가 전기기 사용유무에 따라서 전원상태를 지능적으로 차단/통전시켜 소비전력을 최소화할 수 있는 Auto 스위치에 대해 기술하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.337-338
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• 2021

본 논문에서는 스마트 콘택트 렌즈를 이용한 건강 관리 어플리케이션을 제안한다. 기존에 연구되고 있던 스마트 콘택트 렌즈에 있는 센서들을 통해서 렌즈 사용자의 생체 데이터를 수집하고 수집한 데이터를 수치화 하여 당뇨병, 녹내장, 간략한 스트레스 지수 까지 시각화 하여 보다 편하게 자가 진단하고 예방하는데 그 목적이 있다. 렌즈의 구성으로는 생체 데이터를 수집하는 센서는 포도당 농도 측정 센서, 안압 측정 센서, 코르티솔 호르몬 측정 센서가 있고, 어플과 연동하기 위한 통신 센서가 포함 된다. 이후 수집된 데이터를 수치화 한 후 어플 화면에 시각화하여 사용자가 각 항목을 확인하는데 있어서 편리 할 수 있다. 많은 사용자들의 데이터가 모이면 이를 빅데이터로 구성한 뒤 건강관련 부서와 연동하여 기존에 의사들이 더 정확한 진단을 할 수 있도록 지원한다. 또한 사용자들은 어플을 사용하면서 예방하는데 큰 목적을 둔다.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2019.03a
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• pp.89-90
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• 2019

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5847-5855
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• 2013

The purpose of this research is to develop Dementia-diagnosis application program through inter-working between biometric sensors and smart phone with diagnostic programs. Receiving data from 2 biometric sensors, SpO2 and HRV(heart rate variability) with Bluetooth and adding scores from questionnaires and memory test game, smart phone can draw a final Dementia Index(DI). Simple clinical tests provided threshold for Dementia, and diagnosis was made by comparing the DI with the threshold. We performed testing on persons aged over 60 and found out the proposed application can be used to diagnose Dementia easily and quickly. Additionally, we have shown the potential of oxygen chamber combined with Dementia-diagnosis application as a medical equipment to ease or cure Dementia in its early stages.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.19-28
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• 2015

With the aim of developing a smartphone-based point-of-care device that is small, inexpensive, and easy to handle by non-expert, we designed a fluorescence smartscope for counting particles and a DC motor-controlled particle positioning system. Our smartscope can count the number of fluorescent particles and fluorescently-stained white blood cells through a phone camera with an adaptor containing a LED, a ball lens and optical filters and an application running on a smartphone. The motor was controlled wirelessly via Bluetooth with an Android smartphone. We found that axial spinning of a helical microfluidic channel allows arrangement of particles having size similar to the white blood cells. The motor-controlled particle positioning system can minimize time-consuming manual processes and automate sample preparation process and thus, if integrated with the smartscope, it can be used for a point-of-care testing device based on a smartphone.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.3
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• pp.10-21
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• 2015

Structural health monitoring (SHM) is a technique to diagnose an accurate and reliable condition of civil infrastructure by collecting and analyzing responses from distributed sensors. In recent years, aging civil structures have been increasing and they require further developed SHM technology for development of sustainable society. Wireless smart sensor and network technology, which is one of the recently emerging SHM techniques, enables more effective and economic SHM system in comparison to the existing wired systems. Researchers continue on development of the capability and extension of wireless smart sensors, and implement performance validation in various in-laboratory and outdoor full-scale experiments. This paper presents a summary of recent (mostly after 2010) researches on smart sensors, focused on the newly developed hardware, software, and validation examples of the developed smart sensors.

• Journal of the Korea institute for structural maintenance and inspection
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• v.11 no.2
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• pp.134-144
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• 2007

In this study, a smart sensor unit is developed by using the smart sensor technology that is being rapidly developed in recent years for structural health monitoring system, and its performance is evaluated through various experiments, and also, damage detection experiment is performed on a model structure. This paper as the first half of this study contains the development and performance evaluation of the smart sensor. In the latter half of this study, structure damage detection experiment is performed for the application of verified smart sensor unit into structural health monitoring, and it is compared with a wire measurement system. The smart sensor is developed by using high-power wireless modem, MEMS Sensor and AVR microcontroller, and an embedded program is also developed for the control and operation of the sensor unit. To verify the performance of the smart sensor, many experiments are performed for sensitivity and resolution analysis tests, data acquisition by using cantilever beam and shaker, and on-site application using actual bridge. As a result, the smart sensor proves to be satisfactory in its performance.