• 공업화학
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• 제18권1호
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• pp.77-83
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• 2007

2차 비선형 광학 소재는 광 도파로 응용을 위해 조화파 파장영역에서 낮은 광 진행 손실을 가져야 한다. 이를 위하여 분자에 전자 당김 작용기로 니트로기, 시안기 및 알킬슬폰기가 각각 도입된 세 가지의 쌍극자형 발색단 물질이 합성되었다. 시안기 및 슬폰기를 갖는 발색단의 자외-가시 흡수 스펙트럼은 니트로기를 갖는 발색단에 비해 단파장으로 이동하였다. 또한, 크로모포 분자에 옥사디아졸 연결기를 도입한 결과 광흡수 스펙트럼이 단파장으로 이동하는 유사한 특성을 관찰하였다. 이러한 단파장으로 이동하는 특성은 2차 조화파의 낮은 광손실을 유도할 것이다. 합성된 크로모포는 이미드 고분자에 곁사슬기 형태로 도입하였다. 합성된 고분자의 비선형 광학 성질은 $1.55{\mu}m$ 파장 영역에서 전기광학계수를 측정하고 변환을 통하여 결정하였다. 시차열량 분석계와 열중량 분석계를 이용하여 이들 고분자의 물성 측정을 진행한 결과 $185^{\circ}C$ 이상의 높은 유리전이 온도와 $300^{\circ}C$까지 열적으로 안정함을 보였다.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.1-8
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• 2019

The online retail market continues to grow, especially in China, as e-commerce has developed rapidly in recent years in many countries. Meanwhile, the development and use of new network information technology provides consumers with various contact and experience environments for online shopping. Based on the theory of media weakness, the study began to focus consumer experience on the nature of commercial transactions. The study proposed and designed an initial measure of the consumer information evaluation index, which combines previous findings with implications. Finally, the five-dimensional B2C system was established to evaluate consumers' information experience providing information display, information interaction, information support and information personalization. We researched on evaluation index system for information experience of B2C e-commerce consumers based on samples of Chinese consumers.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.1-8
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• 2017

In recent years, the quixotic nature and concentration of rainfall due to global climate change has intensified. To monitor localized heavy rainfalls, a reliable disaster monitoring and warning system with advanced remote observation technology and high-precision display is important. In this paper, we propose a GIS-based intuitive and realistic 3D radar data display technique for accurate and detailed weather analysis. The proposed technique performs 3D object modeling of various radar variables along with ray profiles and then displays stereoscopic radar data on detailed geographical locations. Simulation outcomes show that 3D object modeling of weather radar data can be processed in real time and that changes at each moment of rainfall events can be observed three-dimensionally on GIS.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2006년도 6th International Meeting on Information Display
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• pp.1291-1294
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• 2006

The technique presented in this paper maximizes LCD color performance by way of advanced gamma control technology. First, two gamma curves corresponding to two sub-pixels are mixed to minimize gamma distortion off-axis, then RGB gamma curve control is used to establish accurate on-axis color. Independent RGB curve control for each sub-pixel improves the LCD's performance both on- and off-axis.

• 대한전자공학회논문지
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• 제20권5호
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• pp.16-22
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• 1983

유리기저에 실크스크린 인쇄기법을 이용하여 투명전극형성용 유기점액인 ITO와 silver paste로써 투명전극 및 금속 전극을 형성하고 SiO 막을 입혀서 액정 매트릭스 표시기를 제작하였다. Rubbing technique로 액정분자를 유리기저에 평행으로 배열시키고, 액정의 동적산란현상을 이용하여 3:1 주소지정방식으로 한글, 알파벳, 숫자 등의 표시를 시도하였다. 제작된 6μm 두께의 표시기에 전압을 변화시키면서 그에 따른 응답파형을 관찰하였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.1130-1132
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• 2009

We propose a novel way for enhancement of efficiency on a quasi solid-state dye-sensitized solar cell (DSSC). It contained gel type electrolyte mixing the liquid crystal (LC) of specific concentration and applied voltage for alignment of the LC. Aligned LC is supported charge transfer inside electrolyte and efficiency is increased in DSSC. We made a quasi solid-state DSSC which applied DC voltage or not and have measured the power conversion efficiency (PCE) and the fill factor. From measurement, we obtain high performances in case of cell applied voltage compare to reference cell.

• Asian Journal of Innovation and Policy
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• 제8권2호
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• pp.274-287
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• 2019

Governments are asking policymakers to quantify the economic and social impact of those advanced technologies they support, including nanotechnology. National policymakers and researchers who participated in OECD activities cooperated to develop a model for the economic impact assessment of nanotechnology with a relevant case study. The present research contributing to some recommendations from the OECD WPN (Working Party on Nanotechnology) finds a successful example of market creation by nanotechnology, and assesses the resulting economic impact of the DEFRA (Department of Environment, Food & Rural Affairs of UK) model. This study investigates the economic impact of Quantum-dot (Qdot) nanotechnology on flat panel TV manufacturers, which is an ideal case to apply the DEFRA model for the analysis of product innovation based on nanotechnology. Findings show that Qdot nanotechnology is expected to create an economic value of $3.32 billion for Korean TV manufacturers over the next decade.

• 반도체디스플레이기술학회지
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• 제20권2호
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• pp.56-60
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• 2021

Recently, technologies for internet of things have been rapidly advanced with development of network. Also interest in smart healthcare that informs about motion information of users has been growing. In this paper, a system that is monitoring the weight on both feet by using aduino and FSR(Force Sensitive Resistor) Sensor is implemented. A 4-channel sensor driver module was implemented to measure a more accurate weight value. It is monitoring the weight on both feet by the using an application for either your PC or mobile device. Mobile applications can contribute to reducing human damage by sending messages along with location in emergency situations, such as injuries caused by falls during outdoor activities.

• 반도체디스플레이기술학회지
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• 제22권3호
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• pp.161-165
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• 2023

One of the difficult works in an autonomous driving system is detecting road lanes or objects in the road boundaries. Detecting and tracking a vehicle is able to play an important role on providing important information in the framework of advanced driver assistance systems such as identifying road traffic conditions and crime situations. This paper proposes a vehicle detection scheme based on deep learning to classify and tracking vehicles in a complex and diverse environment. We use the modified YOLO as the object detector and polynomial regression as object tracker in the driving video. With the experimental results, using YOLO model as deep learning model, it is possible to quickly and accurately perform robust vehicle tracking in various environments, compared to the traditional method.

• 한국CDE학회논문집
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• 제19권3호
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• pp.272-280
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• 2014

Most of the car navigation systems pzrovide 2D or 3D virtual map-based driving guidance. One of the important issues is how to reduce cognitive burden to the driver who should interpret the abstracted information to real world driving information. Recently, an augmented reality (AR)-based navigation is considered as a new way to reduce cognitive workload by superimposing guidance information into the real world scene captured by the camera. In particular, head-up display (HUD) is popular to implement AR navigation. However, HUD is too expensive to be set up in most cars so that the HUD-based AR navigation is currently unrealistic for navigational assistance. Meanwhile, smartphones with advanced computing capability and various sensors are popularized and also provide navigational assistance. This paper presents a research on cognitive effect and responsiveness of an AR navigation by a comparative study with a conventional virtual map-based navigation on the same smartphone. This paper experimented both quantitative and qualitative studies to compare cognitive workload and responsiveness, respectively. The number of eye gazing at the navigation system is used to measure the cognitive effect. In addition, questionnaires are used for qualitative analysis of the responsiveness.