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금속 마스크 스크린이 금속 재결합 전류와 태양전지 특성에 미치는 영향
이욱철(Uk Chul Lee),정명상(Myeong Sang Jeong),이준성(Joon Sung Lee),송희은(Hee-eun Song),강민구(Min Gu Kang),박성은(Sungeun Park),장효식(Hyo Sik Chang),이상희(Sang Hee Lee) 한국태양광발전학회 2021 Current Photovoltaic Research Vol.9 No.1
The mesh mask screen, which is generally used for screen printing metallization of silicon solar cell, requires high squeegee pressure and low printing speed. These requirements are acting as a limiting factor in production yield in photovoltaic industries. In order to improve the productivity, a metal mask, which has high durability and high printing speed, has been researched. In this paper, the characteristics of each solar cell, in which electrodes were formed by using a metal mask and a mesh mask, were analyzed through recombination current density. In particular, the metal-induced recombination current density (Jom) representing the recombination of the emitter-metal interface was calculated using the shading method, and the resulting efficiency and open-circuit voltage were analyzed through the diode equation. As a result of analyzing the proportion of the metal-induced recombination current density to the total emitter recombination current density, it was analyzed that the reduction of the metal-induced recombination current density through the metal mask is an important factor in reducing the total recombination current density of the solar cell.
Jeong-Woo Park,심재원 대한화학회 2016 Bulletin of the Korean Chemical Society Vol.37 No.3
We report on the photovoltaic properties of polymer solar cells (PSCs) that utilize surface-textured indium-doped tin oxide (ITO) as the hole-collecting electrode. The surface-textured ITO was obtained by etching the ITO surface using two-dimensional silica colloidal particles. By treating the ITO surface with polyelectrolytes, monolayer silica colloidal particles could be uniformly distributed on the ITO surface. The random patterns on the ITO surface were realized by a plasma etching process using these colloidal particles as an etching mask. Scattered reflection induced by the random patterns on the ITO surface leads to increased photon absorption in the photoactive layer. The PSC with an ITO etching depth of 30 nm exhibits an increased short-circuit current density of 10.0 mA/cm2 and a power-conversion efficiency of 4.23%, compared to the reference device comprising an unpatterned ITO surface.
Improved Light Absorption of GaInP/GaAs/Ge Solar Cell Modules With Micro/Nanoengineered Coverglasses
Eun Kyu Kang,Chan Il Yeo,Seok Jin Kang,Jung Wook Min,Young Min Song,Yong Tak Lee IEEE 2015 IEEE journal of photovoltaics Vol.5 No.4
<P>We report on advanced types of coverglasses, which include the hierarchical micro- and subwavelength-structured surfaces for improved absorption efficiency of photovoltaic modules. Prism-shaped microstructures (PSMSs) help eliminate the optical shading caused by the metal grid of solar cells. The subwavelength structures (SWSs) with a tapered shape behave as a refractive index matching layer to reduce the surface reflection at the interface of air and coverglass. The geometries of the PSMSs and SWSs were designed by ray-tracing and the rigorous coupled-wave analysis method simulations, respectively, which provided the design guidelines. The PSMSs and SWSs were fabricated by a simple two-step process consisting of an isotropic wet etching process with hydrofluoric acid solution using a SiNx mask and a self-masked dry etching process, respectively. A hybrid patterned coverglass incorporating the PSMSs with SWSs were mounted on GaInP/(In)GaAs/Ge triple-junction solar cells with a precise alignment process. The measured power conversion efficiency of the subreceiver module with the patterned glass reached 32.97% for 1 sun, which is 11.19% higher compared with a subreceiver module with a flat coverglass.</P>
선택적 에미터 결정질 실리콘 태양전지 제작을 위한 할로겐 램프 장치 개발
한규민,최성진,이희덕,송희은 한국태양에너지학회 2012 한국태양에너지학회 논문집 Vol.32 No.5
Halogen lamp was applied to fabricate the selective emitter crystalline silicon solar cell. In selective emitter structure, the recombination of minority carriers is reduced with heavily doped emitter under metal grid, consequently improving the conversion efficiency. Laser selective emitter process which is recently used the most generally induces the damage on the silicon surface. However the lamp has enough heat to form heavily doped emitter layer by diffusing phosphorus from PSG without surface damage. In this work, we have studied to find the design and the suitable condition for halogen lamp such as power, time, temperature and figured out the possibility to fabricate the selective emitter silicon solar cell by lamp heating. The sheet resistance with 100Ω/□ was lower to 50Ω/□ after halogen lamp treatment. Heat transfer to lightly doped emitter region was blocked by using the shadow mask.
Identification of Multiple Outlying Cells in Multi-way Tables
Lee, Jong Cheol,Hong, Chong Sun The Korean Statistical Society 2000 Communications for statistical applications and me Vol.7 No.3
An identification method is proposed in order to detect more than one outlying cells in multi-way contingency tables. The iterative proportional fitting method is applied to get expected values of several suspected outlying cells. Since the proposed method uses minimal sufficient statistics under quasi log-linear models, expected counts of outlying cells could be estimated under any hierarchical log-linear models. This method is an extension of the backwards-stepping method of Simonoff(1988) and requires les iteration to identify outlying cells.
김경미 통계청 2010 통계연구 Vol.15 No.2
Research on suitable methods for guaranteeing the safety of private information while ensuring the diversity and detail of collected data is both necessary and inevitable. This paper focuses on disclosure control methods for macrodata: specifically, on ways of identifying sensitive cells. This paper introduces the methodologies currently being used to locate sensitive cells, examines their feasibility through a case study involving the macrodata for Statistics Korea’s survey on industrial structure. 통계조사 시 개인 및 사업체의 비밀보호라는 서약에 따라 자료가 수집되고 있지만, 각종 정보의 DB화로 통계적 자료결합이나 분석과정에서 개인 또는 사업체의 비밀보호 자료가 공개될 위험은 더욱 커져가고 있다. 이에 따라 통계의 이용․보급의 확대라는 이용자 측의 요구와 개인의 비밀보호라는 응답자 측의 권리 보장을 모두 만족시키기 위한 비밀보호방법론에 관한 연구가 필요하다. 본 연구는 매크로데이터에 관한 비밀보호방법에 대한 연구이다. 매크로데이터는 통계표(집계표) 형태로 제공되는 데이터를 의미하는데 본 논문에서는 이에 관한 비밀보호방법 중 노출위험을 측정하여 민감한 셀을 결정하는 방법론에 대해 논하였다. 자료의 형태에 따라 비밀보호대상을 찾기 위해 노출위험이 있는 민감한 셀을 탐색하는 방법과 예제를 소개하고 통계청 산업구조통계 매크로데이터의 민감한 셀 결정방법에 대한 현황을 파악하였다. 또한 다양한 방법론의 실증분석을 통해 적용가능성을 검토한다.
Image Preprocessing using Systolic Arrays
강희석,이지영,박덕원 한국지식정보기술학회 2015 한국지식정보기술학회 논문지 Vol.10 No.3
This paper proposed a systolic array architecture for computing image preprocessing. It is very difficult to be processed images to real time because of operations of local operators. Local operators for computing image preprocessing are used in many image processing tasks, involve replacing each pixel in an image with a valve computed within a local neighborhood of that pixel. Computing such operators at the video rate requires a computing power which is not provided with software method by conventional computer. In this paper, we improved these problem by using systolic arrays. Once the data has been fetched from memory, it was used a lot of times in inside computer system. As a result, image data fetched from memory were used in each cell in CPU many times before it was return to main memory. There, we were able to obtain high throughput with the usual memory bandwidth. A architecture for processing of image preprocessing consisted of one dimensional systolic arrays. A cell has three mask value for image preprocessing. Each cell is executed in parallel at the same time. We had simulated its architecture, and not only achieve good results but also reduce processing time.
Automated recognition of white blood cells using deep learning
Amin Khouani,Mostafa El Habib Daho,Sidi Ahmed Mahmoudi,Mohammed Amine Chikh,Brahim Benzineb 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.3
The detection, counting, and precise segmentation of white blood cells in cytological images are vital steps in the eff ectivediagnosis of several cancers. This paper introduces an effi cient method for automatic recognition of white blood cells inperipheral blood and bone marrow images based on deep learning to alleviate tedious tasks for hematologists in clinicalpractice. First, input image pre-processing was proposed before applying a deep neural network model adapted to cellslocalization and segmentation. Then, model outputs were improved by using combined predictions and corrections. Finally,a new algorithm that uses the cooperation between model results and spatial information was implemented to improve thesegmentation quality. To implement our model, python language, Tensorfl ow, and Keras libraries were used. The calculationswere executed using NVIDIA GPU 1080, while the datasets used in our experiments came from patients in the Hemobiologyservice of Tlemcen Hospital (Algeria). The results were promising and showed the effi ciency, power, and speed of theproposed method compared to the state-of-the-art methods. In addition to its accuracy of 95.73%, the proposed approachprovided fast predictions (less than 1 s).