• 수면정신생리
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• 제27권1호
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• pp.1-7
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• 2020

Mobile digital devices are very familiar and useful devices in the daily life of modern people, and are used for various tasks such as communication, reading, writing, and playing media. As the use of mobile digital devices has become more prevalent, user time has also been increasing. In particular, the number of people who use digital devices before sleep is growing. The light pollution associated with these devices is classified into four categories: urban sky glow, glare, light trespass, and clutter. The pattern in which modern people use digital devices corresponds to light pollution caused by light trespass and clutter from light exposure to artificial light at night. The light pollution caused by digital devices can cause melatonin secretion suppression, delayed sleep onset, reduction of sleepiness before bedtime, and periodic rhythm and cognitive function disturbances. In addition, a study of children and adolescents showed there may be disturbances in the sleep-wake cycle and circadian rhythm, deterioration of sleep quality, and daytime fatigue due to light pollution caused by artificial light at night from mobile digital devices. A multi-faceted research effort is also necessary to investigate the healthy use of mobile digital devices based on research evidence and insights with an accurate evaluation of the influence of mobile digital devices as a form of light pollution.

• 한국정보통신학회논문지
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• 제20권10호
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• pp.1881-1886
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• 2016

본 논문에서는 기지국의 도움없이 인접한 기기 간에 직접 통신을 수행하는 D2D 단말에서 발생한 데이터를 인접한 D2D 단말로 릴레이하는 환경을 가정하였다. 이러한 환경에서 데이터를 수신한 전체 단말의 수를 최대화하기 위하여 모든 데이터 수신 단말들이 자신의 전송 범위 내의 인접 단말들에게 데이터를 릴레이하는 Epidemic 라우팅을 고려하였다. 또한, 다양한 네트워크 환경을 고려하여 특정 지역에 다양한 밀도로 단말이 밀집되어 분포하는 상황에 대한 MATLAB 시뮬레이션을 수행하고, 이를 기반으로 D2D SD의 전송 범위와 이 데이터를 릴레이 하는 다른 D2D 단말들의 전송 범위를 파라미터로 설정하여 Epidemic 라우팅의 데이터 확산 성능에 대한 비교 분석을 수행하였다.

• 한국환경보건학회지
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• 제35권6호
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• pp.461-467
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• 2009

Exposure analysis is a critical component of determining the health impact of pollutants. Global positioning systems (GPS) could be useful in developing time-location information for use in exposure analysis. This study compares four low cost GPS receivers with data logging capability (Garmin 60, Garmin Forerunner 201, GeoStats GeoLogger and Skytrx minitracker MT4100) in terms of accuracy, precision, and ease of use. The accuracy of the devices was determined at two known National Geodetic Survey points. The coordinates logged by the devices were compared when the devices were carried while walking and driving. The Garmin 60 showed better accuracy and precision than the GeoLogger when they were placed at the geodetic points. The Forerunner and Skytrx did not record when they were kept stationary. When the subject wore the devices while walking, the location of the devices differed by about 8 m on average between any two device combinations involving the four devices. The distance between the coordinates logged by the devices decreased when the devices were carried with their antennas facing the sky. All the devices showed similar routes when they were used in a car. All the devices except the Forerunner had satisfactory signal reception when they were worn and when they were carried in the car. The GeoLogger is less comfortable for the subject because of specific wearing requirements. This evaluation found that the Garmin 60 and the Skytrx may be useful in personal exposure analysis studies to record time-location data.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.593-603
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• 2019

In wearable healthcare systems, sensor devices can be deployed in places around the human body such as the stomach, back, arms, and legs. The sensors use tiny batteries, which have limited resources, and old sensor batteries must be replaced with new batteries. It is difficult to deploy sensor devices directly into the human body. Therefore, instead of replacing sensor batteries, increasing the lifetime of sensor devices is more efficient. A transmission power control (TPC) algorithm is a representative technique to increase the lifetime of sensor devices. Sensor devices using a TPC algorithm control their transmission power level (TPL) to reduce battery energy consumption. The TPC algorithm operates on a closed-loop mechanism that consists of two parts, such as sensor and sink devices. Most previous research considered only the sink part of devices in the closed-loop. If we consider both the sensor and sink parts of a closed-loop mechanism, sensor devices reduce energy consumption more than previous systems that only consider the sensor part. In this paper, we propose a new approach to consider both the sensor and sink as part of a closed-loop mechanism for efficient energy management of sensor devices. Our proposed approach judges the current channel condition based on the values of various body sensors. If the current channel is not optimal, sensor devices maintain their current TPL without communication to save the sensor's batteries. Otherwise, they find an optimal TPL. To compare performance with other TPC algorithms, we implemented a TPC algorithm and embedded it into sensor devices. Our experimental results show that our new algorithm is better than other TPC algorithms, such as linear, binary, hybrid, and ATPC.

• 대한영상의학회지
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• 제81권4호
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• pp.863-885
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• 2020

의료기구들이 발달하면서 복부 및 골반 내에 이식되거나 거치되는 의료기구들이 다양해졌다. 흔하게 사용되는 기구들의 영상의학 소견은 영상의학과 의사들에게 매우 익숙하지만, 상대적으로 사용 빈도가 낮거나 새로운 형태의 기구들의 영상의학 소견은 잘 알려져 있지 않다. 또한 환자에 대한 임상정보가 제한적일 경우 이런 새로운 형태의 의료기구들은 잘못 해석되거나 놓치기 쉽다. 그러므로 복부 및 골반 내 의료기구들의 영상의학 소견을 인지하는 것은 기구들의 올바른 위치를 평가하고, 이와 관련된 합병증을 평가하는데 있어 매우 중요하다. 본 논문에서는 다양한 복부 및 골반 내 의료기구들과 이와 관련된 합병증의 영상의학 소견을 소개하고자 한다.

• 한국자기학회:학술대회 개요집
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• 한국자기학회 2006년도 동계학술연구발표회 및 자성 스핀트로닉스 국제학술대회
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• pp.56-56
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• 2006

• ETRI Journal
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• 제24권4호
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• pp.259-269
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• 2002

Polymers are emerging as new alternative materials for optical communication devices. We developed two types of polymer-based devices for optical communications. One type is for ultra high-speed signal processing that uses nonlinear optical (NLO) polymers in such devices as electro-optic (EO) Mach-Z${\ddot{e}} $ hnder (MZ) modulators and EO 2${\times}$2 switches. The other is for WDM optical communications that use low-loss optical polymers in such devices as 1${\times}$2, 2${\times}$2, 4-arrayed 2${\times}$2 digital optical switches (DOSs) and 16${\times}$16 arrayed waveguide grating (AWG) routers. For these devices, we synthesized a polyetherimide-disperse red 1 (PEI-DR1) side chain NLO polymer and a low-loss optical polymer known as fluorinated polyaryleneethers (FPAE). This paper presents the details of our development of these polymeric photonic devices considering all aspects from materials to packaging.

• 한국치위생학회지
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• 제14권3호
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• pp.311-317
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• 2014

Objectives : The purpose of the study is to investigate the relationship between the removal of halitosis and use of oral hygiene devices. Methods : A self-reported questionnaire was filled out by 300 patients visiting to dental clinics in Gyeonggi-do from May to June, 2013. The questionnaire consisted of general characteristics, oral health related characteristics, satisfaction of oral hygiene devices were measured. Results : Halitosis accounted for 11.0% in dental clinic visit. In order to remove halitosis, dental floss is the most satisfactory and effective method of all auxiliary oral hygiene devices. Conclusions : A variety of auxiliary oral hygiene devices are being sold and used to remove halitosis. It is important to choose the most effective oral hygiene devices to remove halitosis.

• 한국멀티미디어학회논문지
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• 제23권3호
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• pp.447-459
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• 2020

The Internet of Things(IoT) paradigm is flourishing strenuously for the last two decades. Researchers around the globe have their dreams to transmute every real-world object to the virtual object. Consequently, IoT devices are escalating exponentially. The abrupt evolution of these IoT devices has caused a major challenge i.e. object classification. In order to classify devices comprehensively and accurately, this paper proposes a context-aware based multi-classification model for devices, which classifies the smart devices according to people's contexts. However, the classification features of contextual data of different contexts are difficult to extract. The deep learning algorithm has the capability to solve this problem. This paper proposes a context-aware based multi-classification model of devices, which classifies the smart devices according to people's contexts.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 II
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• pp.711-714
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• 2003

In this presentation, we investigated the abnormal subthreshold slope of the FD SOI MOSFETs upon the rapid thermal annealing. Based on subthreshold technique and C-V measurement, we deduced that the hump of the subthreshold slope comes from the abnormal D$_{it}$ distribution after RTA. The local kink in the interface trap density distribution by RTA drastically degrades the subthreshold characteristics and mini hump can be eliminated by S-PGA.A.