• 한국인쇄학회지
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• 제7권1호
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• pp.65-72
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• 1989

Modified phenolics can have a retarding effect on the gelation of wood oil. Modified phenolic resins can be used in media for paint, varnishes, primers, overprinting varnishes, litho, letterpress and rotogravure inks. Varnishes based on rosin phenolic are faster drying, have better durability, are harder and glosser, and have greater resistance to water than ones based on ester gums. These physical properties is concerned with molecular weight distribution of rosin modified phenol resin. This paper was studied about molecular weight distribution of rosin phenolics which were prepared between $130~250^{\circ}C$. The results were as follows: 1) Average molecular weights inereased with increasing reaction temperature. 2) $M_w/M_n$ were from 3.43 to 46.44 with increasing reaction temperature and so the molecular weight distributions were changed from random distribution to broad distribution. 3) The relation ship between intrinsic viscosity and weight average molecular weight was follows: $[{\;}{\;}]={\;}1{\times}{\;}10^{-6}M_w,{\;}M_w=M_w$ 4) Esterification reaction between the acid group of rosin and polyol was started about $230^{\circ}C$$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3171-3191
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• 2016

Due to growing demand on wireless data traffic, a large number of different types of base stations (BSs) have been installed. However, space-time dependent wireless data traffic densities can result in a significant number of idle BSs, which implies the waste of power resources. To deal with this problem, we propose an active state control algorithm based on semi-Markov decision process (SMDP) for a heterogeneous network. A MDP in discrete time domain is formulated from continuous domain with some approximation. Suboptimal on-line learning algorithm with a random policy is proposed to solve the problem. We explicitly include coverage constraint so that active cells can provide the same signal to noise ratio (SNR) coverage with a targeted outage rate. Simulation results verify that the proposed algorithm properly controls the active state depending on traffic densities without increasing the number of handovers excessively while providing average user perceived rate (UPR) in a more power efficient way than a conventional algorithm.

• 방송과미디어
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• 제24권4호
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• pp.39-54
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• 2019

VVC(Versatile Video Coding)는 국제 표준화 단체인 JVET(Joint Video Exports Team)에서 표준화가 진행되고 있는 새로운 국제 비디오 부호화 표준이다. 이 표준화에서는 기존 최신 비디오 부호화 표준인 HEVC(High Efficiency Video Coding)/H.265 대비 2배 이상의 부호화 성능을 목표로 다양한 부호화 방법들이 논의되고 있다. 본 고에서는 VVC의 새로운 부호화 모드 중 화면내 예측(intra prediction) 부호화 방법에 대해 소개한다. 화면내 예측은 현재 부호화를 진행하려는 블록의 주변에 이미 재구성된 샘플들을 참조하여 현재 블록을 예측하는 방법이다. 이 화면내 부호화 방법은 화면간 예측(inter prediction) 부호화 방법과 함께 부호화 효율 향상에 기여할 뿐만 아니라, 임의 접근(random access)을 가능하게 하고 부호화된 비트스트림의 에러 내성을 높인다. VVC는 화면내 부호화 예측 모드 종류를 최대 87개까지 확장하고 다양한 화면내 부호화 방법을 채택함으로써 기존 비디오 부호화 표준에 비해 높은 부호화 효율을 갖는다. 본 고에서는 VVC에 채택된 주요 화면내 부호화 방법들을 소개한다.

• 방송과미디어
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• 제18권3호
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• pp.40-56
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• 2013

본 연구 논문의 목표는 홀로그래픽 디스플레이 성능평가 항목을 구체적으로 정리하며 성능평가 정의를 기반으로 홀로그래픽 디스플레이의 화질평가 방법을 제안한다. 홀로그래픽 디스플레이를 통하여 제공되는 입체 시 인지요인의 만족지표를 설정하고 디스플레이 되는 홀로그래픽 디스플레이의 광학적 요구 사항과 관련된 성능 평가 항목을 정의 한다. 또한 본 논문에서는 위상 광변조기(Phase SLM)를 이용한 실험장치를 구성하여 획득한 홀로그래픽 재생영상을 분석함으로써 홀로그래픽 디스플레이의 영상이 갖추어야 할 평가지표를 나타낸다. 평가 항목과 관련하여 모듈레이션 전이함수(Modulation Transfer Function)를 이용한 해상도(resolution)와 대조비(contrast)에 대한 결과를 분석하였으며 마지막으로 획득된 간섭무늬(Fringe Pattern)의 랜덤 위상 노이즈(Random Phase Noise)에 따른 화질 저하에 대한 정량 분석결과를 나타낸다.

• Computers and Concrete
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• 제30권1호
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• pp.1-8
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• 2022

The basic purpose of the current study is to compute the numerical analysis of heat source/sink for Darcy-Forchheimer three dimensional nanofluid flow with gyrotactic microorganism by rotatable disk via porous media under the slip conditions. Due to nanoparticles, random and thermophoretic motion phenomenon occurs. The governing mathematical model is handled numerically by shooting method. Additionally, the characteristics of velocities, mass, heat, motile microorganisms and associated parameters are thoroughly analyzed via plots and tables. Different physical parameters like Forchheimer number, slip parameters like velocity, porosity parameter, Prandtl number, Brownian number, thermophoresis parameter, heat sink/source parameter, bioconvected Rayleigh number, buoyancy parameteron dimensionless velocities, temperature. Approximate values of Sherwood microorganism are analyzed.

• ETRI Journal
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• 제44권1호
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• pp.94-104
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• 2022

Because of its convenience and compatibility with various image processing techniques, digital image representation of holograms is generally used in digital holography, and thus, quality assessment of digital holograms is an essential issue. This study proposes a new objective quality metric for digital phase hologram image processing. The proposed metric is based on a newly defined phase distortion created by taking the 2π periodicity of phase information into account. The experimental results show that the proposed metric correlates with reconstruction image quality better than the existing metric under random distortions and also works well with JPEG 2000 compression. It is expected to be broadly used in phase image processing and compression applications including phase holograms.

• 스마트미디어저널
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• 제12권10호
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• pp.9-18
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• 2023

Harvest forecasting is the great demand of multiple aspects like temperature, rain, environment, and their relations. The existing study investigates the climate conditions and aids the cultivators to know the harvest yields before planting in farms. The proposed study uses federated learning. In addition, the additional widespread techniques such as bagging classifier, extra tees classifier, linear discriminant analysis classifier, quadratic discriminant analysis classifier, stochastic gradient boosting classifier, blending models, random forest regressor, and AdaBoost are utilized together. These presented nine algorithms achieved exemplary satisfactory accuracies. The powerful contributions of proposed algorithms can create exact harvest forecasting. Ultimately, we intend to compare our study with the earlier research's results.

• 스마트미디어저널
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• 제13권4호
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• pp.9-15
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• 2024

Tree-based algorithms have been the dominant methods used build a prediction model for tabular data. This also includes personal credit data. However, they are limited to compatibility with categorical and numerical data only, and also do not capture information of the relationship between other features. In this work, we proposed an ensemble model using the Transformer architecture that includes text features and harness the self-attention mechanism to tackle the feature relationships limitation. We describe a text formatter module, that converts the original tabular data into sentence data that is fed into FinBERT along with other text features. Furthermore, we employed FT-Transformer that train with the original tabular data. We evaluate this multi-modal approach with two popular tree-based algorithms known as, Random Forest and Extreme Gradient Boosting, XGBoost and TabTransformer. Our proposed method shows superior Default Recall, F1 score and AUC results across two public data sets. Our results are significant for financial institutions to reduce the risk of financial loss regarding defaulters.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 학술대회
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• pp.51-54
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• 1996

In this paper, an interchannel interference (ICI) and symbol error probability for orthogonal frequency division multiplexing (OFDM) on the two-ray fading environment are obtained analytically. From the analysis results, it is found that the ICI is a Gaussian random variable and its variance depends on the subchannel location, normalized time delay, and the number of subchannels. In addition, the OFDM signal without guard interveal is found to yield an irreducible error even at high signal to noise ratio due to the ICI.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2018년도 하계학술대회
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• pp.123-124
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• 2018

본 논문에서는 HEVC 국제표준으로 압축된 비디오에서 움직임 물체를 추적하는 방법을 제안한다. 제안하는 방법은 HEVC 비트스트림의 대부분을 차지하는 인터 프레임의 움직임 벡터 정보를 입력 데이터로 사용하는 ST-MRF(Spatio-Temporal-Markov Random Field) 모델을 기반으로 하며, ST-MRF 모델에서 발생할 수 있는 오차전파로 점진적으로 객체를 부정확하게 추적하는 것을 HEVC GOP(Group of Picture)마다 삽입되는 인트라 프레임만을 복호화 하여 픽셀 정보를 입력으로 하는 YOLO 모델과 융합시켜 보정함으로써 추적하던 객체를 잃지 않고 강건하게 추적하는 방법을 제안한다.