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M. Preethi,C. Velayutham,S. Arumugaperumal International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.3
Hyperspectral imaging technology is one of the most efficient and fast-growing technologies in recent years. Hyperspectral image (HSI) comprises contiguous spectral bands for every pixel that is used to detect the object with significant accuracy and details. HSI contains high dimensionality of spectral information which is not easy to classify every pixel. To confront the problem, we propose a novel RGB channel Assimilation for classification methods. The color features are extracted by using chromaticity computation. Additionally, this work discusses the classification of hyperspectral image based on Domain Transform Interpolated Convolution Filter (DTICF) and 3D-CNN with Bi-directional-Long Short Term Memory (Bi-LSTM). There are three steps for the proposed techniques: First, HSI data is converted to RGB images with spatial features. Before using the DTICF, the RGB images of HSI and patch of the input image from raw HSI are integrated. Afterward, the pair features of spectral and spatial are excerpted using DTICF from integrated HSI. Those obtained spatial and spectral features are finally given into the designed 3D-CNN with Bi-LSTM framework. In the second step, the excerpted color features are classified by 2D-CNN. The probabilistic classification map of 3D-CNN-Bi-LSTM, and 2D-CNN are fused. In the last step, additionally, Markov Random Field (MRF) is utilized for improving the fused probabilistic classification map efficiently. Based on the experimental results, two different hyperspectral images prove that novel RGB channel assimilation of DTICF-3D-CNN-Bi-LSTM approach is more important and provides good classification results compared to other classification approaches.
연료전지·이차전지 하이브리드 시스템을 위한 인터리빙 양방향 DC-DC 컨버터 설계
김승민(Seung-Min Kim),최주엽(Ju-Yeop Choi),최익(Ick Choy),송승호(Seung-Ho Song),이상철(Sang-Cheol Lee),이동하(Dong-Ha Lee) 전력전자학회 2013 전력전자학회 논문지 Vol.18 No.1
Fuel cell power system is one of the most promising energy source for the alternative energy because it has unique advantages such as high energy density, no power drop during operation, and feasible to make compact size. However, due to very low response time, fuel cell is difficult to correspond to drastic load changes and start-up operation. For solving these problem, fuel cell power system must include energy storage device such as Li-Poly battery or super capacitor. Therefore, bi-directional DC-DC converter must be required for this storage device and fuel cell-PCS control. This paper presents a design and modeling of the bi-directional DC/DC converter. Firstly, we present modeling the boost and buck mode of the bi-directional converter through both PWM switch model and state space averaging technique. Secondly, in order to minimize output ripple and transient response overshoot, we have two identical DC-DC converters interleaved and adopt two-loop voltage-current controller. The proposed bi-directional DC-DC converter’s modeling method and control design have been verified with computer simulation and experimentation.
연료전지용 커패시터 충·방전을 위한 양방향 DC-DC 컨버터 제어기 설계
김승민(Kim Seung-Min),양승대(Yang Seung-Dae),최주엽(Choi Ju-Yeop),안진웅(An Jin-Woong),이상철(Lee Sang-Chul),이동하(Lee Dong-Ha) 한국태양에너지학회 2012 한국태양에너지학회 학술대회논문집 Vol.2012 No.3
This paper presents a design and simulation of bidirectional DC/DC boost converter for a fuel cell system. In this paper, we analyze the equivalent model of both a boost converter and a buck converter. Also we propose the controller of bi-directional DC-DC converter, which has buck mode of charging a capacitor and boost mode of discharging a capacitor. In order to design a controller, we draw bode plots of the control -to -output transfer function using specific parameters and incorporate 3pole-2zero compensator in a closed loop. As a result, it has increased PM(Phase Margin) for better dynamic performance. The proposed bi-directional DC-DC converter's 3pole-2zero compensation method has been verified with computer simulation and simulation results obtained demonstrates the validity of the proposed control scheme.
박재용,황승민,임민규,오영규,박재용,한석영 한국공작기계학회 2009 한국공작기계학회 춘계학술대회논문집 Vol.2009 No.-
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic topology optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. RBTO based on BESO starting from various design domains produces a similar optimal topology each other. Numerical examples are presented to compare the DTO with the RBTO.
Eunseon Yu,Youngmin Kim,Junsoo Lee,Yongbeom Cho,Won Jae Lee,Seongjae Cho 대한전자공학회 2018 Journal of semiconductor technology and science Vol.18 No.2
In this work, processing and characterization of ultra-thin poly-Si are performed for memory and logic applications. Ultra-thin poly-Si layers with different thicknesses were prepared on the deposited oxide by low-pressure chemical vapor deposition (LPCVD). Deposited poly-Si were doped through POCl3 gas-phase doping at 900 °C, in which 10-nm thickness was reduced. Afterward, postdeposition annealing (PDA) under different conditions were performed. Thicknesses of deposited poly-Si films were 20, 30, and 50 nm. The following PDA improves the crystallinity, which has been confirmed by high-resolution transmission electron microscopy (HR-TEM) with fast Fourier transform (FFT) imaging and sheet resistivity lowering. Also, superior crystalline film is observed in the thinner film and the bi-directionally arranged domains are obtained from the 40-nm poly-Si film.
박재용(Jae-Yong Park),황승민(Seung-Min Hwang),임민규(Min-Kyu Lim),오영규(Young-Kyu Oh),박재용(Jae-Yong Park),한석영(Seog-Young Han) 한국생산제조학회 2009 한국생산제조시스템학회 학술발표대회 논문집 Vol.2009 No.5
This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic topology optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. RBTO based on BESO starting from various design domains produces a similar optimal topology each other. Numerical examples are presented to compare the DTO with the RBTO.