• Structural Monitoring and Maintenance
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• 제8권4호
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• pp.379-402
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• 2021

Traditional approaches for structural health monitoring (SHM) seldom take ambient uncertainty (temperature, humidity, ambient vibration) into consideration, while their impacts on structural responses are substantial, leading to a possibility of raising false alarms. A few predictors model-based approaches deal with these uncertainties through complex numerical models running online, rendering the SHM approach to be compute-intensive, slow, and sometimes not practical. Also, with model-based approaches, the imperative need for a precise understanding of the structure often poses a problem for not so well understood complex systems. The present study employs a data-based approach coupled with Empirical mode decomposition (EMD) to correlate recorded response time histories under varying temperature conditions to corresponding damage scenarios. EMD decomposes the response signal into a finite set of intrinsic mode functions (IMFs). A two-dimensional Convolutional Neural Network (2DCNN) is further trained to associate these IMFs to the respective damage cases. The use of IMFs in place of raw signals helps to reduce the impact of sensor noise while preserving the essential spatio-temporal information less-sensitive to thermal effects and thereby stands as a better damage-sensitive feature than the raw signal itself. The proposed algorithm is numerically tested on a single span bridge under varying temperature conditions for different damage severities. The dynamic strain is recorded as the response since they are frame-invariant and cheaper to install. The proposed algorithm has been observed to be damage sensitive as well as sufficiently robust against measurement noise.

• Journal of the Korean Wood Science and Technology
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• 제51권5호
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• pp.358-380
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• 2023

The intestinal microbiota plays a crucial role in determining human health, rendering it a major focus of scientific investigation. Rather than eliminating all microbes, promoting the proliferation of beneficial microorganisms within the gut has been recognized as a more effective approach to improving health. Unfavorable conditions potentially alter gut microbial populations, including a reduction in microbial diversity. However, intentionally enhancing the abundance of beneficial gut microbes can restore a state of optimal health. Polysaccharides are widely acknowledged for their potential to improve the gut microbiota. This review emphasizes the findings of recent studies examining the effects of forest product-derived polysaccharides on enhancing the gut microbiota and alleviating inflammation, diabetes symptoms, and obesity. The findings of several studies reviewed in this paper strongly suggest that forest products serve as an excellent dietary source for improving the gut microbiota and potentially offer valuable dietary interventions for chronic health problems, such as inflammation, diabetes, and obesity.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.333-339
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• 2023

In three-dimensional(3D) modeling, texturing plays a crucial role as a visual element, imparting detail and realism to models. In contrast to traditional texturing methods, the current trend involves utilizing AI tools such as Leonardo.Ai and Meshy to create textures for 3D models in a more efficient and precise manner. This paper focuses on 3D texturing, conducting a comprehensive comparative study of AI tools, specifically Leonardo.Ai and Meshy. By delving into the performance, functional differences, and respective application scopes of these two tools in the generation of 3D textures, we highlight potential applications and development trends within the realm of 3D texturing. The efficient use of AI tools in texture creation also has the potential to drive innovation and enhancement in the field of 3D modeling. In conclusion, this research aims to provide a comprehensive perspective for researchers, practitioners, and enthusiasts in related fields, fostering further innovation and development in this domain.

• 대한화학회지
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• 제61권4호
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• pp.163-167
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• 2017

백색 LED 기술이 발달함에 따라 적색 형광체는 산업 및 학계에서 점차 중요성이 커지고 있으며, 시장에서 수요는 꾸준히 증가했다. 적색 형광체는 고효율 및 고연색의 LED 조명에 사용된다. 그러나 $Eu^{2+}$ 활성제를 사용한 적색 형광체는 4f-5d 전이로 발생하는 녹색 또는 황색 스펙트럼 영역에서의 강한 재흡수로 인해 백색 LED 칩에서 색상 변경 및 발광 강도의 저하를 유발했다. 이러한 단점이 없고 연색성 지수(CRI)를 더 향상할 수 있는 $Mn^{4+}$ 도핑된 형광체가 현재 매우 중요하다. 그러나 $Mn^{4+}$ 도핑된 형광체는 $^2E_g{\rightarrow}^4A_2$ 전이로 인하여 발광 파장이 모체에 따라 결정된다는 단점이 있다. 본 연구는 동일구조의 $SrGe_4O_9$와 $BaGe_4O_9$ 모체를 합성하여 $Sr_{1-x}B_axGe_4O_9:Mn^{4+}{_{0.005}}$ (x = 0, 0.25, 0.5, 0.75 and 1)를 얻었다. 이로 인해 LED 기술의 다양한 색상 조정이 가능해졌다.

• 한국결정성장학회지
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• 제19권2호
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• pp.61-65
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• 2009

본 논문에서는 형광체가 없는 백색 LED의 성장과 광학적인 특성을 분석하였다. 혼합소스(miked-source) HVPE(hydride vapor phase epitaxy) 방법과 다중성장보트를 이용하여 MOCVD로 얇게 성장한 n-GaN 위에 활성층을 AlGaN으로 한 이종접합구조(DH; Doublehetero structure)를 성장하고, 패키징 단계를 거쳐 비형광체 단일칩 백색 LED 램프를 제작하였다. 패키징 한 소자를 주입전류 $10{\sim}100mA$로 변화시켜 측정한 결과 색 연색성 값은 72-93, 색좌표의 좌표값은 X값은 $0.26{\sim}0.34$, Y값은 $0.31{\sim}0.40$에서 가지며, 색온도는 $5126{\sim}10406K$ 범위에서 측정되었다. 또한 주입전류 증가 시, 형광체를 사용한 백색 LED는 청색 영역으로 이동하지만, 제작된 백색 LED는 황색영역으로 색좌표가 이동하였다. 이러한 특성을 통하여 고감도의 색 연색성 값을 가지는 비형광체 백색LED의 성장 가능성을 확인하였으며, 광 특성 분석 결과를 통하여 혼합소스의 성장 메커니즘을 제안하고자 한다.

• 한국컴퓨터그래픽스학회논문지
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• 제26권1호
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• pp.17-25
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• 2020

본 논문은 비정렬 격자에 대한 광선투사 수행의 전처리 과정 중 하나인 셀 사이 연결정보 추출에 대한 멀티코어 CPU 기반 병렬처리 알고리즘을 제안한다. 본 연구는 기존의 직렬처리 알고리즘을 단순히 병렬화하였을 때 발생하는 동기화 문제를 확인하고, 이를 해결할 수 있는 3-단계 병렬처리 알고리즘을 제안한다. 제안하는 알고리즘은 각 단계 내에서의 스레드 간 동기화를 제거함으로서 병렬처리 효율을 높인다. 또한, 연결정보 추출 알고리즘의 핵심 연산인, 삼각형 중복 검사 과정의 메모리 접근에 대한 공간적 지역성을 높이고 캐시 활용 효율을 향상시킨다. 본 연구는 나아가, 스레드 마다 자체 메모리 풀을 사용하게 함으로서 병렬처리 효율을 더욱 높인다. 본 연구의 효용성을 확인하기 위해, 제안하는 알고리즘을 두 개의 옥타코어 CPU를 가지는 시스템에 구현하고 세 개의 비정렬 격자 데이터에 적용하였다. 그 결과, 제안하는 병렬처리 알고리즘은 스레드 수 증가에 따라 지속적으로 성능 향상을 보여주었다. 또한, 32개 스레드(물리코어 16개)를 사용하여 기존 직렬처리 알고리즘 대비 최대 82.9배 높은 성능을 보여주었다. 이는 제안하는 알고리즘의 높은 병렬처리 확장성 및 캐시 활용 효율 개선 효과를 증명하며, 대용량 비정렬 격자 처리에 대한 적합성을 보여주는 결과다.

• 한국IT서비스학회지
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• 제18권5호
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• pp.17-30
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• 2019

With the advent of the Fourth Industrial Revolution, virtual reality, a technology that has recently attracted attention, is emerging as a core technology that will lead the future industry by changing the paradigm of various industries. The development of 3D rendering, computer graphics, and mobile technologies enabled the development of various smart devices and led to the popularization of virtual reality services using them. Recently, with the development of virtual reality-related technology, various devices and contents such as VR-related HMDs are being developed and released. However, since the classification for VR technology has not yet been established, it is difficult to define a range of industries and services to which VR can be applied. Therefore, in this study proposes a service classification system in terms of industries that can apply VR technology and services that can be provided based on the studies on industries and services of VR technology related to the Fourth Industrial Revolution. VR's industrial classification consists of eight industries including entertainment, media, education, medical care, architecture, manufacturing, distribution, tourism and each service is divided into two service categories and composed 16 services. Through the collection and analysis of virtual reality service cases, the service distribution and characteristics of each industry can be analyzed. In addition, we can develop a virtual reality new business model and present a service case for the intersecting areas. This study is expected to be used as a basic research for the activation of virtual reality services in the future.

• 한국CDE학회논문집
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• 제17권5호
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• pp.303-311
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• 2012

Laparoscopic surgery is a surgical procedure which uses long laparoscopic instruments through tiny holes in abdomen while watching images from a laparoscopic camera through umbilicus. Laparoscopic surgeries have many advantages rather than open surgeries, however it is hard to learn the surgical skills for laparoscopic surgery. Recently, some virtual simulation systems for laparoscopic surgery are developed to train novice surgeons or resident surgeons. In this study, we introduce the techniques that we developed for laparoscopic surgical training simulator for cholecystectomy (gallbladder removal), which is one of the most frequently performed by laparoscopic surgery. The techniques for cholecystectomy simulation include modeling of human organs (liver, gallbladder, bile ducts, etc.), real-time deformable body calculation, realistic 3D visualization of surgical scene, high-fidelity haptic rendering and haptic device technology, and so on. We propose each simulation technique for the laparoscopic cholecystectomy procedures such as identifying cystic duct and cystic artery to clamp and cut, dissecting connective tissues between the gallbladder and liver. In this paper, we describe the techniques and discuss about the results of the proposed cholecystectomy simulation for laparoscopic surgical training.

• 반도체디스플레이기술학회지
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• 제17권2호
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• pp.1-5
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• 2018

Elastic resistive pressure sensor is fabricated by a direct spray coating of silver nanowires (AgNWs) on uncured polydimethylsiloxane (PDMS) and an additional coating of a conductive polymer, poly(3,4-ethylenedioxythiophene): poly (styrene sulfonate) (PEDOT:PSS). To improve the sensitive and stability, we have fabricated sandwich-structured AgNW/polymer sensor where two AgNW/polymer-coated PDMS films are laminated with the conducting surfaces contacted by pressure lamination. It shows a resistance decrease upon loading due to the formation of dense network of AgNWs. It is demonstrated that the sandwich-structured AgNW/polymer sensor exhibits very high sensitivity ($2.59kPa^{-1}$) and gauge factor (37.8) in the low pressure regime. It can also detect a subtle placement and removal of a weight as low as 3.4 mg, the corresponding pressure of which is about 5.4 Pa. It is shown that the protrusion of AgNWs from PDMS is suppressed substantially by the over-coated PEDOT:PSS layer, thereby reducing hysteresis and rendering the sensor more stable.

• 한국재료학회지
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• 제22권12호
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• pp.669-674
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• 2012

Yellow phosphor dispersed color conversion glasses are promising phosphor materials for white LED applications because of their good thermal durability, chemical stability, and anti-ultraviolet property. Six color conversion glasses were prepared with high Tg and low Tg specimens of glass. Luminous efficacy, luminance, CIE (Commission Internationale de l'Eclairage) chromaticity, CCT (Correlated Color Temperature), and CRI (Color Rendering Index) of the color conversion glasses were analyzed according to the PL spectrum. Color conversion glasses with high Tg glass frit, sintered at higher temperature, showed better luminous properties than did color conversion glasses with low Tg glass frit. The characteristics of the color conversion glass depended on the glass composition rather than on the sintering temperature. The XRD peaks of the YAG phosphor disappeared in the color conversion glass with major components of $B_2O_3$-ZnO-$SiO_2$-CaO and, in the XRD results, new crystalline peaks of $BaSi_2O_5$ appeared in the color conversion glass with major components of $Bi_2O_3$-ZnO-$B_2O_3$-MgO. The characteristics of CIE chromaticity, CCT, and the CRI of low Tg color conversion glasses showed worse color properties than those of high Tg color conversion glasses. However, these color characteristics of low Tg glasses were improved by thickness variation. So color conversion glasses with good characteristics of both luminous and color properties were attained.