• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.114-130
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• 2021

With the drastic growth of Information and Communication Technology (ICT) industry, global energy consumption is exponentially increased by mobile communications. The huge energy consumption and increased environmental awareness have triggered great interests on the research of dynamic distribution of cell user and traffic, and then designing the energy efficient cellular network. In this paper, we explore the temporal and spatial characteristics of human mobility and traffic distribution using real data set. The analysis results of cell traffic illustrate the tidal effect in temporal and spatial dimensions and obvious periodic characteristics which can be used to design Base Station (BS) dynamic with sleeping or shut-down strategy. At the same time, we designed a new Cell Zooming and BS cooperation mode. Through simulation experiments, we found that running in this mode can save about 35% of energy consumption and guarantee the required quality of service.

• 대한금속재료학회지
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• 제49권1호
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• pp.32-39
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• 2011

The present investigation was performed on the die compaction and sintering behavior of Fe micro-nano mixed powder with a mixed binder for powder injection molding. Warm die compaction of the feedstock for simulation of the static injection molding process was conducted using a cylindrical mold of 10 mm diameter at $100^{\circ}C$ under 4MPa. The die compaction of the micro-nanopowder feedstock underwent a uniform molding behavior showing a homogeneous distribution of nanopowders among the micropowders without porosity and distortion. After debinding, the powder compact maintained a uniform structure without crack and distortion, leading to a high green density of 64.2% corresponding to the initial powder loading of 65%. The sintering experiment showed that the micro-nanopowder compact underwent a near full and isotropic densification process during sintering. It was observed that the nanopowders effectively suppressed the growth of micropowder grains during densification process. Conclusively, the use of nanopowder for PIM feedstock might provide a new concept for processing a full density PIM parts with fine microstructure.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.65-74
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• 2021

The rapid change in gold price is an issue of concern in the global economy and financial markets. Gold has been used as a means for trading and transaction around the world for long period of time and it plays an integral role in monetary, business, commercial and financial activities. More importantly, it is used as economic measure for the global economy and will continue to play an important economic vital role - both locally and globally. There has been an explosive growth in demand for efficient and effective scheme to predict gold price due its volatility and fluctuation. Hence, there is need for the development of gold price prediction scheme to assist and support investors, marketers, and financial institutions in making effective economic and monetary decisions. This paper primarily proposed an intelligent based system for predicting and characterizing the gold market trend. The simulation result shows that the proposed intelligent gold price scheme has been able to predict the gold price with high accuracy and precision, and ultimately it has significantly reduced the prediction error when compared to baseline neural network (NN).

• Nuclear Engineering and Technology
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• 제54권8호
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• pp.2801-2808
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• 2022

The synergistic effect of ZrC nanoparticle pining and Re solution in W matrix on the thermal stability of tungsten was studied by investigating the evolution of the microstructure, hardness and tensile properties after annealing in a temperature range of 1000-1700 ℃. The results of metallography, electron backscatter diffraction pattern and Vickers micro-hardness indicate that the rolled W-1wt%Re-0.5 wt% ZrC alloy has a higher recrystallization temperature (1600 ℃-1700 ℃) than that of the rolled pure W (1200 ℃), W-0.5 wt%ZrC (1300 ℃), W-0.5 wt%HfC (1400-1500 ℃) and W-K-3wt%Re alloy fabricated by the same technology. The molecular dynamics simulation results indicated that solution Re atoms in W matrix can slow down the self-diffusion of W atoms and form dragging effect to delay the growth of W grain, moreover, the diffusion coefficient decrease with increasing Re content. In addition, the ZrC nanoparticles can pin the grain boundaries and dislocations effectively, preventing the recrystallization. Therefore, synergistic effect of solid solution Re element and dispersed ZrC nanoparticles significantly increase recrystallization temperature.

• 한국포장학회지
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• 제28권2호
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• pp.127-132
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• 2022

The growth of e-commerce market requires more delivery packagings, which protect goods from the damage factors on the delivery. In this study, we have analyzed the distribution environment data (vibration and impact) measured in previous study and compared with global standards (ISTA, ASTM), so that we developed the testing method for Field-to-Lab simulation suitable to the domestic delivery. In order to verify the efficacy of this method, we took the Field-to-Lab tests for 3 packaged products (detergents set, glass tableware set, small furniture), which has been frequent breakages or damages on the actual delivery by e-commerce order, so that we could find out the test results were similar to those of the actual delivery occasions. In addition, we could perform redesign and improvement of the parcel delivery packagings for safe transportation by taking this Field-to-Lab test repeatedly. This test methods was finally proposed to be Korean industrial standard (KS), and is expected to be useful as a designing tool for the packaging optimization between protecting goods and reducing packaging waste.

• 대한원격탐사학회지
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• 제39권4호
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• pp.459-466
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• 2023

In the last decade, artificial intelligence's dramatic advancement with the development of various deep learning techniques has significantly contributed to remote sensing fields and satellite image applications. Among many prominent areas, super-resolution research has seen substantial growth with the release of several benchmark datasets and the rise of generative adversarial network-based studies. However, most previously published remote sensing benchmark datasets represent spatial resolution within approximately 10 meters, imposing limitations when directly applying for super-resolution of small objects with cm unit spatial resolution. Furthermore, if the dataset lacks a global spatial distribution and is specialized in particular land covers, the consequent lack of feature diversity can directly impact the quantitative performance and prevent the formation of robust foundation models. To overcome these issues, this paper proposes a method to generate benchmark datasets by simulating the modulation transfer functions of the sensor. The proposed approach leverages the simulation method with a solid theoretical foundation, notably recognized in image fusion. Additionally, the generated benchmark dataset is applied to state-of-the-art super-resolution base models for quantitative and visual analysis and discusses the shortcomings of the existing datasets. Through these efforts, we anticipate that the proposed benchmark dataset will facilitate various super-resolution research shortly in Korea.

• 천문학회보
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• 제45권1호
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• pp.68.3-69
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• 2020

We develop a series of N-body data challenges, functional to the final analysis of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16) galaxy sample, primarily based on high-fidelity catalogs constructed from the Outer Rim simulation. We generate synthetic galaxy mocks by populating Outer Rim halos with a variety of halo occupation distribution (HOD) schemes of increasing complexity, spanning different redshift intervals. We then assess the performance of three complementary redshift space distortion (RSD) models in configuration and Fourier space, adopted for the analysis of the complete DR16 eBOSS sample of Luminous Red Galaxies (LRGs). We find that all the methods are mutually consistent, with comparable systematic errors on the Alcock-Paczynski parameters and the growth of structure, and robust to different HOD prescriptions - thus validating the robustness of the models and the pipelines used for the baryon acoustic oscillation (BAO) and full shape clustering analysis. Our study is relevant for the final eBOSS DR16 'consensus cosmology', as the systematic error budget is informed by testing the results of analyses against these high-resolution mocks. In addition, it is also useful for future large-volume surveys, since similar mock-making techniques and systematic corrections can be readily extended to model for instance the DESI galaxy sample.

• 통합자연과학논문집
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• 제17권1호
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• pp.13-20
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• 2024

Female breast cancer is the fifth highest cause of mortality. Breast cancer is the most prevalent type of cancer in women globally, while it can also affect men. STAT5A plays a role in its development and progression. Given that activation of STAT5a is frequently linked to the growth and progression of tumors, STAT5a has been identified as a possible target for the therapy of several cancers. STAT5A, in particular, has proven to be overexpressed in various breast cancer cell lines and tumors, and it has been associated to the promotion of tumour cell proliferation and survival. STAT5A inhibition has been shown in vitro and in vivo to reduce the development of breast cancer cells. As a result, we have screened compounds from the FDA database that might serve as potential inhibitors of STAT5a through virtual screening, docking, DFT and MD simulation approaches. The drug Nilotinib has shown promising results inhibiting STAT5a. Further, in-vitro analysis will be carried forward to understand the anti-cancer activity.

• 한국농림기상학회지
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• 제8권4호
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• pp.229-241
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• 2006

본 연구에서는 실측 일기상자료 대신 예측 기후평년 값을 적용하여 기후변화와 그에 상응한 벼 작황의 지리적 분포양상을 복원함으로써 지구온난화에 따른 우리나라 벼농사지대의 생산성을 재평가하였다. 기상청 56개 지점 종관자료(일 최고/최저 기온의 월별 평균값)를 1971-2000년 30년 단위로 수집하여 270m 해상도의 수치기후도를 작성하고, 벼논픽셀에 해당되는 기후자료를 추출하였다. 동일한 시군에 속하는 벼논픽셀의 기후자료를 평균함으로써 시군단위의 '벼논맞춤형 기후자료'를 준비하였다. 같은 방법으로 기상연구소에서 제작한 2011-2100년 기간의 3개 평년(2011-2040, 2041-2070, 2071-2100) 기후시나리오에 근거하여 해당 평년의 기후자료를 추정하였다. 농촌진흥청의 정밀토양도로부터 해당 픽셀의 토성과 토심정보를 검색하고 이를 토대로 유효수분 조견표에 의해 토양자료를 준비하였다. 자포니카형 벼의 특성을 갖도록 개조한 벼 생육모형(CERES-Japonica)에 이들 자료를 입력하고 조생종(오대벼), 중생종 (화성벼), 만생종 (동진벼)의 생육을 모의하였다. 시군 공간평균을 기준으로 3품종 모두 가까운 미래(2011-2040년)에는 출수기가 일주일 정도 빨라지고, 먼 미래(2071-2100년)에는 최대 20일 까지 단축될 수 있다. 생리적 성숙기는 3품종 모두 가까운 미래(2011-2040년)에는 15일 정도 단축되고, 먼 미래(2071-2100년)에는 최대 한달까지도 빨라질 수 있어 출수기에 비해 단축정도가 심하다. 평야지 수량의 경우 조생종인 오대벼는 10a당 6-25%, 중생종 화성벼는 3-26%, 만생종 동진벼는 3-25%까지 감소하였다. 하지만 산간지역에서는 발육속도가 빨라지고 수량이 증가하거나 큰 변화가 없는 곳도 많아 온난화조건에서도 지역별 정밀기후 추정과 이에 근거한 최적품종의 선택, 이앙기 및 수확기 등 생육기간의 조절이 온난화 대응기술로서 유효할 것으로 기대된다.

• 인터넷정보학회논문지
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• 제16권1호
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• pp.57-65
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• 2015

농업과 IT기술 융합이 가속화됨에 따라 식물공장 내 작물의 품질 및 생산성을 향상시키기 위한 연구가 활발히 진행 중이다. 식물공장의 생산성을 최대화하기 위해서는 먼저 시설 내부의 특성을 고려하여 생육에 적합한 열 환경과 공기의 흐름을 제공하기 위한 고도의 생장환경 관리기술이 필요하다. 현재 운영되고 있는 식물공장은 특화된 공기유동장치의 설계 및 운영기술이 확립되지 않아 온도 기류 편차로 인한 불균일한 품질의 작물 생산, 재배기간 연장에 따른 에너지 소비 등의 문제점을 내포하고 있다. 이를 해결하기 위해서는 식물공장 시설의 설계 단계에서 전산유체역학 시뮬레이션을 이용한 공기유동장치의 배치 및 운영기술에 대한 최적화 과정이 선행되어야 한다. 본 연구에서는 CFD(Computational Fluid Dynamics) 시뮬레이션을 이용한 순환 팬의 적정 배치 및 유속을 파악하여 식물공장 시설 내부의 각 지점별 온도 편차를 최소화하고 에너지소비를 절감한다. 시뮬레이션 조건은 순환 팬의 설치 위치 및 수량 그리고 유속변화에 따라 총 12가지의 Case로 구분하였으며 해석을 위한 경계 조건 변수는 동일하게 설정하였다. 시뮬레이션 결과, 2set의 순환 팬을 식물재배기 상단에 부착한 Case D의 제어 조건이 설정온도에 부합하는 296.33K의 평균온도를 유지하면서 식물생육에 적합한 0.51m/s의 기류분포를 보였다. 또한, 순환 팬의 유속을 변화시킨 결과, 출구 유속을 2.09/s로 설정한 Case D-3이 에너지 효율 측면에서 가장 우수한 결과를 보였다.