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Effects of multi-layered active layers on solution-processed InZnO TFTs

  • Choi, Won Seok;Jung, Byung Jun;Kwon, Myoung Seok
    • Proceedings of the Korean Vacuum Society Conference
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    • 2015.08a
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    • pp.204.1-204.1
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    • 2015
  • We studied the electrical properties and gate bias stress (GBS) stability of thin film transistors (TFTs) with multi-stacked InZnO layers. The InZnO TFTs were fabricated via solution process and the In:Zn molar ratio was 1:1. As the number of InZnO layers was increased, the mobility and the subthreshold swing (S.S) were improved, and the threshold voltage of TFT was reduced. The TFT with three-layered InZnO showed high mobility of $21.2cm^2/Vs$ and S.S of 0.54 V/decade compared the single-layered InZnO TFT with $4.6cm^2/Vs$ and 0.71 V/decade. The three-layered InZnO TFTs were relatively unstable under negative bias stress (NBS), but showed good stability under positive bias stress (PBS).

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Identification of Root Age by Histochemical Staining of Secretory Duct Layers in Ginseng (인삼 분비도관의 조직화학적 염색에 의한 연근판별)

  • 이경환;이성식;이명구;김은수
    • Journal of Ginseng Research
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    • v.25 no.2
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    • pp.101-105
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    • 2001
  • Identification of the age of ginseng root is very important in commercial market as well as in research field. However, any criterion abut it has not been clearly established yet. We studied to find a clear morphological key for identification of ginseng root\\`s age using the histochemical staining method. Fresh sections of 3, 4, 5, and 6 year old roots were stained with 1% nile blue, observed under the light microscopy, and compared each other. The number of secretory duct layers(SDL) is a useful key to confirm the age of ginseng root as follow; three-year-old root has two, four-year-old one has three, fie-year-old one has four, and six-year-old one has five resin duct layers on each cortical region of roots. Secretory ducts are thought to be formed by the vascular cambium every year. Unlike the surrounding parenchyma cells, secretory epithelial cells lack starch grains in the cytoplasm.

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Recommendation system using Deep Autoencoder for Tensor data

  • Park, Jina;Yong, Hwan-Seung
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.8
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    • pp.87-93
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    • 2019
  • These days, as interest in the recommendation system with deep learning is increasing, a number of related studies to develop a performance for collaborative filtering through autoencoder, a state-of-the-art deep learning neural network architecture has advanced considerably. The purpose of this study is to propose autoencoder which is used by the recommendation system to predict ratings, and we added more hidden layers to the original architecture of autoencoder so that we implemented deep autoencoder with 3 to 5 hidden layers for much deeper architecture. In this paper, therefore we make a comparison between the performance of them. In this research, we use 2-dimensional arrays and 3-dimensional tensor as the input dataset. As a result, we found a correlation between matrix entry of the 3-dimensional dataset such as item-time and user-time and also figured out that deep autoencoder with extra hidden layers generalized even better performance than autoencoder.

A Compact Representation of Translation Pages for Flash Translation Layers of Solid State Drives

  • Kim, Yong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.1-7
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    • 2019
  • This paper presents CTP (Compact Translation Page), a compact representation of translation pages, for page mapping-based flash translation layers to improve RAM utilization and reduce the response time of solid state drives. CTP can store translation information twice in a translation page and the total number of translation pages stored in flash is reduced to half. Therefore, CTP halves the RAM size of the directory of translation pages and uses the saved RAM space for translation cache. CTP shows the best response time when compared to existing page mapping-based flash translation layers.

Inorganic charge transport materials for high reliable perovskite solar cells (고신뢰성 페로브스카이트 태양전지용 무기물 기반 전하전달층)

  • Park, So Jeong;Ji, Su Geun;Kim, Jin Young
    • Ceramist
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    • v.23 no.2
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    • pp.145-165
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    • 2020
  • Halide perovskites are promising photovoltaic materials due to their excellent optoelectronic properties like high absorption coefficient, low exciton binding energy and long diffusion length, and single-junction solar cells consisting of them have shown a high certified efficiency of 25.2%. Despite of high efficiency, perovskite photovoltaics show poor stability under actual operational condition, which is the mostly critical obstacle for commercialization. Given that the stability of the perovskite devices is significantly affected by charge-transporting layers, the use of inorganic charge-transporting layers with better intrinsic stability than the organic counterparts must be beneficial to the enhanced device reliability. In this review article, we summarized a number of studies on the inorganic charge-transporting layers of the perovskite solar cells, especially focusing on their effects on the enhanced device reliability.

A Study on the Performance Improvement of MLP Model for Kodály Hand Sign Scale Recognition

  • Na Gyeom YANG;Dong Kun CHUNG
    • Korean Journal of Artificial Intelligence
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    • v.12 no.3
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    • pp.33-39
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    • 2024
  • In this paper, we explore the application of Kodaly hand signs in enhancing children's music education, performances, and auditory assistance technologies. This research focuses on improving the recognition rate of Multilayer Perceptron (MLP) models in identifying Kodaly hand sign scales through the integration of Artificial Neural Networks (ANN). We developed an enhanced MLP model by augmenting it with additional parameters and optimizing the number of hidden layers, aiming to substantially increase the model's accuracy and efficiency. The augmented model demonstrated a significant improvement in recognizing complex hand sign sequences, achieving a higher accuracy compared to previous methods. These advancements suggest that our approach can greatly benefit music education and the development of auditory assistance technologies by providing more reliable and precise recognition of Kodaly hand signs. This study confirms the potential of parameter augmentation and hidden layers optimization in refining the capabilities of neural network models for practical applications.

Compressible Boundary Layer Stability Analysis With Parabolized Stability Equations

  • Bing, Gao;Park, S.O.
    • 한국전산유체공학회:학술대회논문집
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    • 2006.10a
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    • pp.110-119
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    • 2006
  • An accurate and cost efficient method PSE is used for the stability analysis of 2D or 3D compressible boundary layers. A highly accurate finite difference PSE code has been developed at a general curvilinear coordinate system using an implicit marching procedure to deal with a broad range of transition predictions problems. Evolution of disturbances in compressible flat plate boundary layers are studied for free-stream Mach numbers ranging from 0 to 1.5. The effect of mean-flow nonparallelism is found to be weak on two dimensional waves and strong on three dimensional waves. The maximum amplification rate increases monotonically with Mach number. The present PSE solutions are compared with previous numerical investigations and experimental results and are found to be in good agreement.

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The Review of JPEG2000 Algorithm using Optimal Rate Control (비율 제어 최적화를 이용한 JPEG2000 알고리즘 리뷰)

  • Chong, Hyun-Jin;Kim, Young-Seop
    • Journal of the Semiconductor & Display Technology
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    • v.8 no.1
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    • pp.19-25
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    • 2009
  • Abstract JPEG2000 achieve quality scalability through the rate control method used in the encoding process, which embeds quality layers to the code-stream. This architecture might raise two drawbacks. First, when the coding process finishes, the number and bit-rates of quality layers are fixed, causing a lack of quality scalability to code-stream encoded with a single or few quality layers. Second, in Post compression rate distortion (PCRD) the bit streams after the truncation points discarded. Therefore, computational power for the discarded bit streams is wasted. For solving of problem, through bit rate control, there are many researches. Each proposed algorithms have specially target feature that is improved performance like reducing computational power. Research results have strength and weakness. For the mean time, research contents are reviewed and compared, so we proposed research direction in the future.

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Effect of Steel-fiber Distribution on Flexural Strength and Toughness of Shotcrete-mimicked Concrete Specimen (숏크리트 모사 콘크리트 공시체에 혼합된 강섬유의 분산도가 휨강도 및 인성에 미치는 영향)

  • Park, Sung-Sik;Kim, Sang-Jung
    • Journal of the Korean Geotechnical Society
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    • v.29 no.6
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    • pp.53-62
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    • 2013
  • A 5-20 cm thick shocrete has been routinely constructed for NATM tunneling method to stabilize and confine the excavated rock of tunnel construction site. A $40kg/m^3$ of steel fibers are usually mixed into such shotcrete but these steel fibers may not be evenly distributed depending on shotcrete machines, mixing ratios and excavated rock conditions. In this study, square column shotcrete-mimicked concrete specimens of $15cm{\times}15cm{\times}55cm$ were prepared with 5 equal layers and 5 or 20% cement ratio. The specimens were prepared with different reinforced-patterns: non-reinforced, middle layer-reinforced, 1, 3, and 5 layers-reinforced, or all layers reinforced. The specimens were air-cured for 7 days and tested for flexural strength. The influence of steel-fiber distribution on flexural strength and toughness of shotcrete-mimicked concrete specimens was investigated. In the case of a specimen with cement ratio of 20%, a flexural strength increased as a number of fiber-reinforced layer increased. The flexural strength of one-layer reinforced specimen showed 20% less than that of evenly fiber-distributed specimen. On the other hand, a specimen with cement ratio of 5% decreased as the number of fiber-reinforced layers increased. A toughness index increased as the number of fiber-reinforced layers increased, regardless of cement ratios. The toughness index of evenly fiber-distributed specimen showed 2-3 times as large as that of one-layer reinforced specimen.

Revisiting the Parvilucifera infectans / P. sinerae (Alveolata, Perkinsozoa) species complex, two parasitoids of dinoflagellates

  • Jeon, Boo Seong;Nam, Seung Won;Kim, Sunju;Park, Myung Gil
    • ALGAE
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    • v.33 no.1
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    • pp.1-19
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    • 2018
  • Members of the family Parviluciferaceae (Alveolata, Perkinsozoa) are the well-known dinoflagellate parasitoids along with Amoebophrya ceratii species complex and parasitic chytrid Dinomyces arenysensis and contain six species across three genera (i.e., Parvilucifera infectans, P. sinerae, P. rostrata, and P. corolla, Dinovorax pyriformis, and Snorkelia prorocentri) so far. Among Parvilucifera species, the two species, P. infectans and P. sinerae, are very similar or almost identical each other morphologically and genetically, thereby make it difficult to distinguish between the two. The only main difference between the two species known so far is the number of sporangium wall (i.e., 2 layers in P. infectans vs. 3 layers in P. sinerae). During sampling in Masan bay, Korea during the spring season of 2015, the dinoflagellate Akashiwo sanguinea cells infected by the parasite Parvilucifera were observed and this host-parasite system was established in culture. Using this culture, its morphological and ultrastructural features with special emphasis on the variation in the number of sporangium wall over developmental times, were investigated. In addition, the sequences of rDNA regions and ${\beta}-tubulin$ genes were determined. The result clearly demonstrated that the trophocyte at 36 h was covered with 4 layers, and then outer layer of the sporocyte gradually degraded over time, resulting in wall structure consisting of two layers, with even processes being detached from 7-day-old sporangium with smooth surface, indicating that the difference in the number of layers seems not to be an appropriate ultrastructural character for distinguishing P. infectans and P. sinerae. While pairwise comparison of the large subunit rDNA sequences showed 100% identity among P. infectans / P. sinerae species complex, genetic differences were found in the small subunit (SSU) rDNA sequences but the differences were relatively small (11-13 nucleotides) compared with those (190-272 nucleotides) found among the rest of Parvilucifera species (P. rostrata and P. corolla). Those small differences in SSU rDNA sequences of P. infectans / P. sinerae species complex may reflect the variations within inter- strains of the same species from different geographical areas. Taken together, all morphological, ultrastructural, and molecular data from the present study suggest that they are the same species.