• Journal of information and communication convergence engineering
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• 제8권5호
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• pp.581-585
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• 2010

A grid was sandwiched between two cascaded imaging plates. Using a fan-beam X-ray tube and a single exposure scheme, the two imaging plates, respectively, recorded grid-less and grid type information of the object. Referring to the mathematical model of the Grid-less and grid technique, it was explained that the collected components whereas that of imaging plates with grid was of high together with large scattered components whereas that of imaging plate with grid was of low and suppressed scattered components. Based on this assumption and using a Gaussian convolution kernel representing the effect of scattering, the related data of the imaging plates were simulated by computer. These observed data were then employed in the developed post-processing estimation and restoration (kalman-filter) algorithms and accordingly, the quality of the resultant image was effectively improved.

• 대한임베디드공학회논문지
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• 제7권3호
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• pp.135-142
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• 2012

The Quality of embedded system depends on the embedded software. As the complexity and the size of embedded software have been increasing, it is more likely that the software may include faults, and the reliability and stability issues are getting more important. In this paper, we propose a remote test tool for software based on VxWorks by using fault injection method. The test tool consists of test server and test client for testing on the cross development environment. The test server operates in the host system and user can not only test but also monitor the software by using it. The test client operates in the target system and it controls kernel objects and sends the input data into the software when receiving the control and data from the test server. We developed the prototype software and demonstrated the ability of testing software robustness by injecting faults.

• 산업공학
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• 제10권3호
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• pp.11-21
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• 1997

The communication between members who participate in the product development project has an effect on the project time, cost, and quality. This reason requires the engineering database which is the kernel of product information. This study focuses on data and process modeling for engineering database related to electronic consumer product. First, Through the definition of engineering database, the characteristics of engineering data, mainly product data are analyzed. Second, The object and class for engineering database are defined. This results of the study can be applied with engineering database design and workflow design of PDM. It also can be used as a reference model when the company develops product with suppliers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2191-2208
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• 2022

Motion blur in PET (Positron emission tomography) images induced by respiratory motion will reduce the quality of imaging. Although exiting methods have positive performance for respiratory motion correction in medical practice, there are still many aspects that can be improved. In this paper, an improved 3D unsupervised framework, Res-Voxel based on U-Net network was proposed for the motion correction. The Res-Voxel with multiple residual structure may improve the ability of predicting deformation field, and use a smaller convolution kernel to reduce the parameters of the model and decrease the amount of computation required. The proposed is tested on the simulated PET imaging data and the clinical data. Experimental results demonstrate that the proposed achieved Dice indices 93.81%, 81.75% and 75.10% on the simulated geometric phantom data, voxel phantom data and the clinical data respectively. It is demonstrated that the proposed method can improve the registration and correction performance of PET image.

• 벤처창업연구
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• 제15권3호
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• pp.59-71
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• 2020

본 연구는 중소벤처기업의 스마트팩토리 기술적용이 품질과 혁신성과에 미치는 영향력을 밝히는데 목적을 갖고 실증분석 하였다. 연구 결과 중소벤처기업에서의 스마트팩토리 기술적용이 품질과 혁신성과에 미치는 영향에서 유의적인 영향을 미치는 것으로 나타나 가설은 부분 채택되었다. 스마트팩토리 기술로서의 디바이스와 어플리케이션 기술이 정보품질과 시스템품질에 긍정적인 영향을 미치는 반면, 플랫폼 기술은 정보품질과 시스템품질에 유의하지 않아 기각되었다. 또한, 스마트팩토리 기술이 혁신성과에 미치는 영향에서도 디바이스 기술은 유의한 영향을 미치는 반면, 플랫폼과 애플리케이션은 유의하지 않아 기각되었다. 시스템품질은 혁신성과에 유의하지만 정보품질은 혁신성과에 유의하지 않은 영향을 미쳤다. 스마트팩토리의 디바이스 기술이 혁신성과에 미치는 영향에서 품질은 부분 매개효과를 보이는 것으로 나타났다. 이와 같은 결과는 중소벤처기업의 4차 혁명시대 스마트팩토리의 핵심으로서의 상호 연결을 통해 수준 높은 정보 품질관리를 구현해야 한다. 또한, 제조설계에서부터 실행, 분석에 이르기까지 상호 컴포넌트 연동과 중소벤처기업의 필요에 따라 디바이스로부터 수집된 체계적인 정보를 통합 관리함으로서 기업의 성과를 높일 수 있음을 시사한 것으로 평가할 수 있다.

• 한국대기환경학회지
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• 제24권3호
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• pp.284-299
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• 2008

Emission input modules was developed to produce emission input data and change some profiles for Sparse Matrix Operator Kernel Emissions (SMOKE) using Clean Air Policy Support System (CAPSS)'s activities and previous studies. Specially, this study was focused to improve chemical speciation and temporal allocation profiles of SMOKE. At first, SCC cord mapping was done. 579 SCC cords of CAPSS were matched with EPA's one. Temporal allocation profiles were changed using CAPSS monthly activities. And Chemical speciation profiles were substituted using Kang et al. (2000) and Lee et al. (2005) studies and Kim et al. (2005) study. Simulation in Seoul Metropolitan Area (Seoul, Incheon, Gyeonggi) using MM5, SMOKE and CMAQ modeling system was done for effect analysis of changed input modules of SMOKE. Emission model results adjusted with new input modules were slightly changed as compared to using EPA's default modules. SMOKE outputs shows that aldehyde emissions were decreased 4.78% after changing chemical profiles, increased 0.85% after implementing new temporal profiles. Toluene emissions were decreased 18.56% by changing chemical speciation profiles, increased 0.67% by replacing temporal profiles as well. Simulated results of air quality were also slightly elevated by using new input modules. Continuous accumulation of domestic data and studies to develop input system for air quality modeling would produce more improved results of air quality prediction.

• Asian Journal of Atmospheric Environment
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• 제2권1호
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• pp.34-46
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• 2008

Emissions inputs for use in air quality modeling of Korea were generated with the emissions inventory data from the National Institute of Environmental Research (NIER), maintained under the Clean Air Policy Support System (CAPSS) database. Source Classification Codes (SCC) in the Korea emissions inventory were adapted to use with the U.S. EPA's Sparse Matrix Operator Kernel Emissions (SMOKE) by finding the best-matching SMOKE default SCCs for the chemical speciation and temporal allocation. A set of 19 surrogate spatial allocation factors for South Korea were developed utilizing the Multi-scale Integrated Modeling System (MIMS) Spatial Allocator and Korean GIS databases. The mobile and area source emissions data, after temporal allocation, show typical sinusoidal diurnal variations with high peaks during daytime, while point source emissions show weak diurnal variations. The model-ready emissions are speciated for the carbon bond version 4 (CB-4) chemical mechanism. Volatile organic carbon (VOC) emissions from painting related industries in area source category significantly contribute to TOL (Toluene) and XYL (Xylene) emissions. ETH (Ethylene) emissions are largely contributed from point industrial incineration facilities and various mobile sources. On the other hand, a large portion of OLE (Olefin) emissions are speciated from mobile sources in addition to those contributed by the polypropylene industry in point source. It was found that FORM (Formaldehyde) is mostly emitted from petroleum industry and heavy duty diesel vehicles. Chemical speciation of PM2.5 emissions shows that PEC (primary fine elemental carbon) and POA (primary fine organic aerosol) are the most abundant species from diesel and gasoline vehicles. To reduce uncertainties in processing the Korea emission inventory due to the mapping of Korean SCCs to those of U.S., it would be practical to develop and use domestic source profiles for the top 10 SCCs for area and point sources and top 5 SCCs for on-road mobile sources when VOC emissions from the sources are more than 90% of the total.

• 디지털정책학회지
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• 제3권3호
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• pp.9-14
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• 2024

본 논문은 단일 영상 기반의 초해상도에서 결과의 품질을 개선하기 위해 적응형 가중치를 적용한 잔차 블록으로 구성된 다중 블록 구조를 이용하는 방법을 제안하였다. 딥러닝을 이용한 초해상도를 생성하는 과정에서 품질 향상을 위한 가장 중요한 요소는 특징 추출 및 적용이다. 해상도가 낮아 이미 손실된 세부사항을 복원하기 위해 다양한 특징을 추출하는 것이 최우선이지만 네트워크의 구조가 깊어지거나 복잡해지는 등의 문제가 발생하기 때문에 실제 적용에서 제한사항이 있다. 따라서 특징 추출 과정은 효율적으로 구성하고 적용 과정을 개선하여 품질을 개선하였다. 이를 위해 최초 특징 추출 이후 다중 블록 구조를 구성하였고 블록 내부에는 중첩된 잔차 블록을 구성한 뒤 적응형 가중치를 적용하였다. 또한 최종 고해상도 복원을 위해 다중 커널을 이용한 영상 재구성 과정을 적용함으로써 결과물의 품질을 향상시켰다. 평가를 위해 원본 영상 대비 PSNR과 SSIM 값을 구하였고 기존 알고리즘과 비교하여 제안하는 방법의 성능 향상을 확인하였다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.289-289
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• 2017

The climate change impact has facilitated double cropping system on maize production in Korea. The objectives of this study were to investigate the chemical composition changes according to the sowing dates on double cropping in 8 dent type, 2 intermediate type, and 4 semiflint type of Korean maize (Zea mays L.) hybrids and evaluate its antioxidant characteristics. Fourteen maize hybrids were sown on April 5 and July 5 of 2015. The average crude protein contents in dent and semiflint type maize sown on April 5 were higher than those sown on July 5 (p<0.05). There was no significant difference in average of total amino acid contents in all types of maize according to the sowing dates. Major amino acid in maize hybrids were glutamic acid followed by proline, alanine, and aspartic acid, which has no significant difference according to the sowing dates. The average crude fat contents in semiflint and intermediate type maize sown on April 5 were higher than those sown on July 5 (p<0.05). The average composition of saturated fatty acid in dent type maize sown on April 5 was higher than those sown on July 5. However, the average unsaturated fatty acid composition showed the opposite result (p<0.05). Fatty acids were mainly composed of linoleic acid (C18:2) and oleic acid (C18:1) in maize hybrids. The average oleic acid percentage of dent and semiflint type maize sown on April 5 were higher than those sown on July 5, while the average linoleic acid was lower. The average amylose content of all types of maize sown on April 5 was higher than those sown on July 5. On the other hands, the average carotenoid contents had the opposite result (p<0.05). There were no significant differences in total average of polyphenol contents and DPPH and ABTS radical scavenging activities in all types of maize based on the sowing date. Total polyphenol contents had positive correlation with DPPH (r=0.33, p<0.01) and ABTS (r=0.50, p<0.0001) radical scavenging activities. In conclusion, the kernel composition affects maize quality. These data are useful for maize breeding program and cultivation and food processing industry.

• 한국식품영양학회지
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• 제31권1호
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• pp.17-23
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• 2018

The objective of this study was to compare physicochemical, microbial, and antioxidant properties of domestic and imported wheat kernels for bread making. Two domestic (JK1, 2) and three imported (ND, DNS, and CWRS) kernels were compared. Domestic kernels had higher moisture contents, and lower ash and protein contents (p<0.05). In grain characteristics, JK1 had 13.62% of damaged kernels, which was the highest among the samples (p<0.05). JK2 was similar to imported kernels in the ratio of sound kernels, foreign materials, and damaged kernels. Kernel size of JK1, 2 was larger than the imported kernels; therefore, kernels area and perimeter were higher by the image analyzer. Domestic kernels hid lower total aerobic counts the imported kernels (p<0.05). Domestic kernels and DNS had no yeast, while NS and CWRS had yeast in kernels. DNS (3.08 mg gallic acid equivalent (GAE)/g) had the highest total polyphenol content (TPC), followed by JK1 (2.81 mg GAE/g). JK2 had the lowest amount of TPC as 2.26 mg GAE/g. Total flavonoid content (TFC) was the highest in DNS as 0.44 mg catechin equivalent (CE)/g and JK2 was the lowest as 0.12 mg CE/g. Domestic wheat kernels had lower protein content and lightness than the imported wheat kernels so that flour from domestic wheat kernels may have lower quality for baking.