• 한국통신학회논문지
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• 제30권12B
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• pp.831-837
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• 2005

개인용 일반적 용도의 컴퓨터는 탁상용에서 태블릿 PC나 PDA와 같은 이동가능한 모바일 디바이스로 발전되어 왔다. 반도체 분야의 기술혁신은 그러한 형태적 요소를 진보된 입출력장치들과 함께 상당히 강력한 프로세서와 메모리 부시스템으로 패키징을 하는 것을 가능하게 하였다. 마침내 이들 부시스템들은 작게 구성되어 입을 수 있는 컴의 형태로 만들어질 수 있게 되었다. 입을 수 있는 컴퓨터는 최근 유비쿼터스 환경에서 차세대 PC로서 주의를 얻게 되었으며 입을 수 있는 컴퓨팅기술은 더욱 더 실현 가능한 것이 되었고 소비시장과 산업에 걸쳐 더 많은 관심을 받게 되었다. 본 논문에서는 기존에 개발된 입을 수 있는 내장형 시스템 플랫품에 멀티미디어와 네트워크 기능을 강화하여 진보된 입을 수 있는 내장형 플렛폼인 WPS(Wearable Personal Station)을 제안하고 개발했다. 본 논문은 이러한 WPS의 형태, 전체적인 구성, 기능 그리고 응용프로그램에 관한 것들을 설명한다. 또한 본 논문에서는 미래의 직관적인 사용자 인터페이스와 잘 디자인된 응용들을 갖춘 차세대 컴퓨터 플랫폼의 형태에 대해 논의한다.

• 대한통합의학회지
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• 제5권2호
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• pp.33-42
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• 2017

Purpose: This study examined the effects of the fumanet exercise program on the cognitive function and fall down-related physical fitness factor in elderly people. Method: The study period was May 2-June 24, 2016. The participants included 20 elderly persons (control group 10, experimental group 10) who registered at the day-care Center in G. City. Descriptive statistics were used for the analysis of the control and experimental groups' general characteristics. The chi-square and Mann-Whitney U tests were conducted to identify the two groups' general characteristics' and dependent variables' homogeneity. The Wilcoxon signed-rank test was used to compare the pre-and post-intervention cognitive function and fall down-related physical fitness factor, and a Mann-Whitney U test was used to analyze the rate of cognitive function and fall down-related physical fitness factor changes between the groups after the intervention. Result: The participants' fall down-related physical fitness factors (balance, gait, leg strength) increased and memory in the cognitive function sub-area improved in the participants who participated in the fumanet exercise program. The amount of change in gait was significantly different between the control and experimental groups. Conclusion: The fumanet exercise program included gait training using the learn, remember and repeat phased steps. Therefore, this study proposes using the fumanet exercise program to improve the elderly's cognitive function and physical fitness factor.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2010년도 춘계학술회의 초록집
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• pp.21-21
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• 2010

(Ba,Sr)$TiO_3$ (BST) thin film with a perovskite structure has potential for the practical application in various functional devices such as nonvolatile-memory components, capacitor, gate insulator of thin-film transistors, and electro-optic devices for display. Normally, the BST thin films derived from sol-gel and sputtering are amorphous or partially crystalline when processed below $600^{\circ}C$. For the purpose of integrating BST thin film directly into a Si-based read-out integrated circuit (ROIC), it is necessary to process the BST film below $400^{\circ}C$. The microstructural and electrical properties of low-temperature crystallized BST film were studied. The BST thin films have been fabricated at $350^{\circ}C$ by UV-assisted rapidly thermal annealing (RTA). The BST films are in a single perovskite phase and have well-defined electrical properties such as high dielectric constant, low dielectric loss, low leakage current density, and high breakdown voltage. Photoexcitation of the organics contained in the sol-gel-derived films by high-intensity UV irradiation facilitates elimination of the organics and formation of the single-crystalline phase films at low temperatures. The amorphous BST thin film was transformed to a highly (h00)-oriented perovskite structure by high oxygen pressure processing (HOPP) at as low as $350^{\circ}C$. The dielectric properties of BST film were comparable to (or even better than) those of the conventionally processed BST films prepared by sputtering or post-annealing at temperature above $600^{\circ}C$. When external pressure was applied to the well-known contractive BST system during annealing, the nucleation energy barrier was reduced; correspondingly, the crystallization temperature decreased. The UV-assisted RTA and HOPP, as compatible with existing MOS technology, let the BST films be integrated into radio-frequency circuit and mixed-signal integrated circuit below the critical temperature of $400^{\circ}C$.

• 인간식물환경학회지
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• 제21권6호
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• pp.557-564
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• 2018

Along with the aging society, the prevalence of dementia is also increasing. Dementia causes short-term memory loss as well as difficulties of performing daily activities and gradually causes suffering of the patients and their family. In spite of various programs for prevention of dementia of older people are being implemented, there is a lack of developing natural-based program for physical and mental health promotion. Therefore, it is necessary to develop programs for the elderly living alone who are more vulnerable to dementia because of their social and economic isolation. The purpose of this study was to develop a natural-based program and investigate the effects of 10 weeks forest therapy program for dementia prevention to improve the psychological and physical health of the elderly living alone. The experimental subjects were 30 elderly (aged 65 or older) and 31 elderly participated in control group. The Stress response, depressive symptoms, weight, body mass index (BMI), fat mass and muscle mass were measured for pre and post test. The results showed that the experimental group showed subjective stress relief (t=5.249, p=.000), improvement in symptoms of depression (t=4.152, p=.000), and decreases in weight (t=2.686, p=.012), BMI (t=2.629, p=.014) and fat mass (t=2.918, p=.007) after the forest therapy program. The experimental group showed lower stress reactions(t=-7.185, p=.000) and less depressive symptoms (t=-5.303, p=.000) than control group after participating the program. These results suggest that periodic forest exposure can help having less stressful and depressive status than non-forest exposure and the forest therapy program can reduce participants' psychological and physical risk factors of dementia.

• 대한한의학방제학회지
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• 제27권2호
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• pp.121-136
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• 2019

Objective : To investigate the effect of sihogayonggolmoryeotang (SY) on Single Prolonged Stress(SPS)-induced Post Traumatic Stress Disorder(PTSD). Method : To confirm the effects of SY on SPS-induced PTSD, Changes in body weight, sucrose intake open field test(OFT) and forced swimming test(FST)were observed. After behavioral tests, the plasma corticosterone(CORT) from the abdominal aorta, serotonin(5-HT) from prefrontal cortex, hippocampus, amygdala and striatum, norepinephrine(NE) and dopamine(DA) from hippocampus was measured by ELISA. mRNA expression of brain-derived neurotrophic factor(BDNF) and cAMP response element-binding protein(CREB) in hippocampus was measured by RT-PCR. Result : Weight change and sucrose intakes of rats in 14th day after the administration of SY were significantly increased in the SPS + SY450 group compared to the SPS group (p<0.05). Numbers of crossing in the central zone in the OFT were significantly increased in the SPS + SY450 group (p<0.05) compared with the SPS group. The immobility time of FST was significantly decreased in SPS + SY450 group compared with SPS group (p<0.05). The change of plasma CORT concentration was significantly decreased in SPS + SY450 group compared with that in SPS group (p<0.05). The change of 5-HT concentration was significantly increased in the SPS + SY450 group at hippocampus and amygdala compared with the SPS group (p<0.05). The concentration of DA was significantly increased in the SPS + SY450 group compared with the SPS group (p<0.05). The expression of BDNF and CREB were significantly increased in SPS + SY450 group compared with the SPS group (p<0.05). Conclusion : SY administration lowered the increase of CORT caused by PTSD and increases the 5-HT concentration and reversed the decreased expression of NE and DA and BDNF and CREB by PTSD. It is postulated that SY is effective in treating PTSD by restoring cognitive function, memory impairment, unstable emotional disturbances.

• Smart Structures and Systems
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• 제28권6호
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• pp.745-760
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• 2021

Dynamic buckling of structure is one of the failure modes that needs to be considered since it may result in catastrophic failure of the structure in a short period of time. For a thin fiber-reinforced polymer (FRP) plate under compression, buckling is an inherent hazard which will be intensified by the existence of defects like holes, cracks, and delamination. On the other hand, the growth of the delamination is another prime concern for thin FRP plates. In the current paper, reinforcing the plates against buckling is realized by using SMA wires in the form of stitches. A numerical framework is proposed to simulate the dynamic instability emphasizing the effect of the SMA stitches in suppressing delamination growth. The suggested algorithm is more accurate than the other methods when considering the transformation point of the SMA wires and the modeling of the cohesive zone using simple and yet reliable technique. The computational design of the method by producing the line by line orders leads to a simple algorithm for simulating the super-elastic behavior. The Lagoudas constitutive model of the SMA material is implemented in the form of user material subroutines (VUMAT). The normal bilinear spring model is used to reproduce the cohesive zone behavior. The nonlinear finite element formulation is programmed into FORTRAN using the Newmark-beta numerical time-integration approach. The obtained results are compared with the results obtained by the finite element method using ABAQUS/Explicit solver. The obtained results by the proposed algorithm and those by ABAQUS are in good agreement.

• Smart Structures and Systems
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• 제31권4호
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• pp.351-363
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• 2023

Visual structural inspections are an inseparable part of post-earthquake damage assessments. With unmanned aerial vehicles (UAVs) establishing a new frontier in visual inspections, there are major computational challenges in processing the collected massive amounts of high-resolution visual data. We propose twin deep learning models that can provide accurate high-resolution structural components and damage segmentation masks efficiently. The traditional approach to cope with high memory computational demands is to either uniformly downsample the raw images at the price of losing fine local details or cropping smaller parts of the images leading to a loss of global contextual information. Therefore, our twin models comprising Trainable Resizing for high-resolution Segmentation Network (TRS-Net) and DmgFormer approaches the global and local semantics from different perspectives. TRS-Net is a compound, high-resolution segmentation architecture equipped with learnable downsampler and upsampler modules to minimize information loss for optimal performance and efficiency. DmgFormer utilizes a transformer backbone and a convolutional decoder head with skip connections on a grid of crops aiming for high precision learning without downsizing. An augmented inference technique is used to boost performance further and reduce the possible loss of context due to grid cropping. Comprehensive experiments have been performed on the 3D physics-based graphics models (PBGMs) synthetic environments in the QuakeCity dataset. The proposed framework is evaluated using several metrics on three segmentation tasks: component type, component damage state, and global damage (crack, rebar, spalling). The models were developed as part of the 2^nd International Competition for Structural Health Monitoring.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2924-2944
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• 2023

Alzheimer's disease (AD) is a neurological condition that is recognized as one of the primary causes of memory loss. AD currently has no cure. Therefore, the need to develop an efficient model with high precision for timely detection of the disease is very essential. When AD is detected early, treatment would be most likely successful. The most often utilized indicators for AD identification are the Mini-mental state examination (MMSE), and the clinical dementia. However, the use of these indicators as ground truth marking could be imprecise for AD detection. Researchers have proposed several computer-aided frameworks and lately, the supervised model is mostly used. In this study, we propose a novel 3D Convolutional Neural Network Multilayer Perceptron (3D CNN-MLP) based model for AD classification. The model uses Attention Mechanism to automatically extract relevant features from Magnetic Resonance Images (MRI) to generate probability maps which serves as input for the MLP classifier. Three MRI scan categories were considered, thus AD dementia patients, Mild Cognitive Impairment patients (MCI), and Normal Control (NC) or healthy patients. The performance of the model is assessed by comparing basic CNN, VGG16, DenseNet models, and other state of the art works. The models were adjusted to fit the 3D images before the comparison was done. Our model exhibited excellent classification performance, with an accuracy of 91.27% for AD and NC, 80.85% for MCI and NC, and 87.34% for AD and MCI.

• 한국결정성장학회지
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• 제8권4호
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• pp.599-604
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• 1998

본 논문은 PZT 박막의 기억소자 응용을 위한 Pt 그리고 RuO2 박막을 조사하였다. 초고주파 마그네트론 스퍼터링 방법을 이용하여 하부전극을 성장하였으며, 조사된 실험변수는 기판온도, 가스 부분압, RF 전력 그리고 후열처리 등이다. 기판온도는 Pt, $RuO_2$박막의 결정구조 뿐만 아니라 표면구조 및 비저항 성분에 크게 영향을 주었다. Pt 박막의 XRD 분석으로 기판온도가 상온에서 $200^{\circ}C$까지는 (111) 그리고 (200) 면이 혼재하는 결과를 보였으나 $300^{\circ}C$에서는 (111) 면으로 우선 방위 성장 특성을 보였다. XRD와 AFM 해석으로부터 Pt 박막 성장시 기판온도 $300^{\circ}C$, RF 전력 80W가 추천된다. 산소 분압비를 0~50%까지 가변하여 조사한 결과 산소가 5% 미만으로 공급되면 Ru 금속이 성장되고, 산소 분압비가 10 ~40%까지는 Ru와 $RuO_2$ 상이 공존하였으며 산소 분압비가 50%에서는 순수한 $RuO_2$상만이 검축되었다. 이 결과로부터 RuO2/Ru 이층 구조의 하부전극 형성이 산소 가스 부분압을 조절하여 한번의 공정으로 성장 가능하며, 이런 구조를 이용하면 금속의 낮은 비저항을 유지하면서도 PZT 박막의 산소 결핍에 의한 기억소자의 피로도 문제를 완화할 것으로 사료된다. 후 열처리 온도를 상온에서부터 $700^{\circ}C$까지 증가할 때 Pt와 $RuO_2$의 비저항 성분은 선형적 감소 추세를 보였다. 본 논문은 강유전체 기억소자 응용을 위한 최적화된 하부전극 제적조건을 제시한다.

• 디지털콘텐츠학회 논문지
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• 제13권2호
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• pp.225-233
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• 2012

<아바타>이후 3D 입체영상은 차세대 콘텐츠 산업의 블루칩으로 떠올라있다. 그에 반해 국내에서 상업적으로 제작하였던 모든 입체 콘텐츠들이 흥행에 실패 하였다. 이는 국내 입체콘텐츠의 완성도가 해외의 콘텐츠에 비하여 매우 떨어지기 때문이며, 현행되고 있는 2D기반의 입체 후반작업 프로세스가 그 원인으로 작용하고 있다. 그중에서도 입체 편집프로세스는 콘텐츠의 질과 가장 밀접한 관련이 있다. 영화<나탈리>의 제작사례를 통해 알아본 현행 입체 편집프로세스는 2D기반의 시스템을 이용하여 편집을 진행한 후 3D 디스플레이 시스템으로 확인하며 이후 문제가 발생할 경우 수정하는 방식을 취하고 있다. 이러한 현상을 개선하고자 좌 우 영상의 분석을 통해 합성에서 사용되고 있는 변위지도와 깊이지도 등의 깊이정보를 시각화 하여 현행 입체 편집 프로세스에 적용하였으며, 보다 객관성 있는 입체편집 프로세스를 제안하고자 한다. 제안한 프로세스를 실제 뮤직드라마 <기억의 조각>제작에 활용하여 영화<나탈리>와 비교해보았다. 그 결과 <나탈리>의 경우 컷과 컷 사이의 입체 값 변화가 매우 큰 것을 볼 수 있었으나 <기억의 조각>의 경우 입체 값이 전체적으로 균일한 결과를 도출 할 수 있었다. 현행 프로세스의 경우 주관적인 입체감을 바탕으로 하기 때문에 작업자의 컨디션과 상태에 따라 그 값이 달라 질수 있다. 또한 Positive영역에 대한 예상은 할 수 없기 때문에 동일한 공간 혹은 한정된 공간에서 컷에 따라 각기 다른 입체 값을 보임으로써 공간의 입체감을 왜곡시킬 우려가 있다. 반면 깊이정보의 시각화를 활용한 객관적인 입체 편집은 동일한 공간에 대한 입체감과 콘텐츠 전체의 입체감을 균일하게 맞추어 입체 콘텐츠의 질을 높이고, 나아가 입체감 왜곡, 시각적 피로 등의 문제도 동시에 해결 할 수 있다.