• Title/Summary/Keyword: global size

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Control the crystal size by varying concentrations of precursors for the planar perovskite solar cells

  • Xie, Lin;Hwang, Heewon;Kim, Minjung;Kim, Kyungkon
    • Rapid Communication in Photoscience
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    • v.4 no.4
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    • pp.79-81
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    • 2015
  • The influence of the grain size of the $CH_3NH_3PbI_3$ on the solar cell performance is investigated by controlling the ratio between $CH_3NH_3I$ and $PbI_2$ precursors. As the concentration of the precursors increased from 1.0M to 2.0M, the $CH_3NH_3PbI_3$ grain size increased from ~100nm to ~400nm. The solar cell utilizing the $CH_3NH_3PbI_3$ with large grain size shows improved photocurrent compared to the solar cell utilizing $CH_3NH_3PbI_3$ with small grain size, which is ascribed to the reduced recombination at the boundaries of grains.

Features on the Vertical Size Distribution of Aerosols using Ballon-borne Optical Particle Counter at Anmyeon (광학입자계수기를 이용한 안면도 연직 에어러솔 수농도 크기 분포 특성)

  • Choi, B.C.;Iwasaka, Y.;Lim, J.C.;Jeong, S.B.;Kim, Y.S.;Dmitri, T.;Nagatani, T.;Yamada, M.;Kim, S.B.;Hong, G.M.;Lee, Y.G.;Yoo, H.J.
    • Atmosphere
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    • v.15 no.3
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    • pp.149-153
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    • 2005
  • A balloon-borne Optical Particle Counter (hereafter "OPC Sonde"), which was developed by the atmospheric research group of Nagoya University, is used for getting the information of vertical profile of particle size and concentration in Anmyeon ($36^{\circ}32^{\prime}N$ $126^{\circ}19^{\prime}E$) on 18 March 2005. A range of five different particle sizes is shown in the vertical profile of aerosol number density estimated from the OPC Sonde. It was found that small size particles have vertically larger aerosol number density than relatively big ones. For all size ranges the vertical aerosol number density shows a decreased pattern as the altitude becomes higher. The aerosol number density of $0.3{\sim}0.5{\mu}m$, $0.5{\sim}0.8{\mu}m$, $0.8{\sim}1.2{\mu}m$ size ranges at the 10km height, which is the tropopause approximately, are $1,000,000ea/m^3$, $100,000ea/m^3$, $10,000ea/m^3$ respectively. The data of OPC Sonde are also compared with the data of PM10 $\beta$-ray) and Micro Pulse Lidar which are operating at Korea Global Atmosphere Watch Observatory in Anmyeon.

A Study on the Apparel Sizing System of SPA brands (SPA 브랜드의 의류치수 사용 실태에 관한 연구)

  • Yi, Kyonghwa;Cho, Mina
    • Journal of Fashion Business
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    • v.19 no.5
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    • pp.139-156
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    • 2015
  • The purpose of this study is to investigate various information relating to research on the dimensions of clothing used in the sale of products via the internet that used to target global SPA((Specialty Store Retailer of Private Label Apparel) brands sold in Korea. A total of 12 SPA brands including seven global SPA brands and five national. SPA brands were surveyed in this study. Brands were chosen net sales and consumer preferences the last three years. In all SPA brands, literal size designation such as S, M, L and numeric size designation such as 0, 2, 4 or 32, 34, 36 etc. were mixed, but in case of Jean, the size codes mark waist circumference were dominant. European size codes were more common in case of European brands while literal codes were more dominantly used for American size codes with in the US brands. By reviewing the measurement information of the body and product size, the product measurement methods of UNIQLO, FOREVER 21 and TOPTEN were much more accountable and excellent than other brands. However, most of the others didn't offer proper information such as pictograms or figures about measurement methods relating body sizes and product sizes. In addition, most of global SPA brands offered size conversion chart which consumers could reference, however of none of the national SPA brands offered a conversion size chart on their website. Regardless of the type of clothing, the coverage of clothing size was higher than in global SPA brands such as H&M GAP compared to national SPA brands. In particular, 8seconds did not present apparel size ranges that fit consumers' individual clothes sizes.

A study on the development of global standardized size for souvenir T-shirts (관광문화상품 티셔츠의 치수체계 조사 및 치수표기법 제안)

  • Lee, Hyun-Hwa;Nam, Yun-Ja;Choi, Young-Lim
    • Fashion & Textile Research Journal
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    • v.11 no.2
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    • pp.293-300
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    • 2009
  • Customers purchasing souvenir T-shirts in famous tourist sites in Korea are mainly foreigners. Nevertheless, these T-shirts are manufactures according to Koreans' body shapes or manufactures' own size system. Moreover, sizes are labelled only by domestic norms. The purpose of this study is to suggest global standardized size for T-shirts, which will provide more precise size information for customers. For this, sizing standards including KS, ASTM, JIS, and EN were surveyed and were compared. And souvenir T-shirts were collected in the tourist resort and the sizing systems and labels were analysed from them. Finally, we proposed a sizing system and labelling as an international standard for souvenir T-shirts.

Hierarchical sampling optimization of particle filter for global robot localization in pervasive network environment

  • Lee, Yu-Cheol;Myung, Hyun
    • ETRI Journal
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    • v.41 no.6
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    • pp.782-796
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    • 2019
  • This paper presents a hierarchical framework for managing the sampling distribution of a particle filter (PF) that estimates the global positions of mobile robots in a large-scale area. The key concept is to gradually improve the accuracy of the global localization by fusing sensor information with different characteristics. The sensor observations are the received signal strength indications (RSSIs) of Wi-Fi devices as network facilities and the range of a laser scanner. First, the RSSI data used for determining certain global areas within which the robot is located are represented as RSSI bins. In addition, the results of the RSSI bins contain the uncertainty of localization, which is utilized for calculating the optimal sampling size of the PF to cover the regions of the RSSI bins. The range data are then used to estimate the precise position of the robot in the regions of the RSSI bins using the core process of the PF. The experimental results demonstrate superior performance compared with other approaches in terms of the success rate of the global localization and the amount of computation for managing the optimal sampling size.

Research on the Main Memory Access Count According to the On-Chip Memory Size of an Artificial Neural Network (인공 신경망 가속기 온칩 메모리 크기에 따른 주메모리 접근 횟수 추정에 대한 연구)

  • Cho, Seok-Jae;Park, Sungkyung;Park, Chester Sungchung
    • Journal of IKEEE
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    • v.25 no.1
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    • pp.180-192
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    • 2021
  • One widely used algorithm for image recognition and pattern detection is the convolution neural network (CNN). To efficiently handle convolution operations, which account for the majority of computations in the CNN, we use hardware accelerators to improve the performance of CNN applications. In using these hardware accelerators, the CNN fetches data from the off-chip DRAM, as the massive computational volume of data makes it difficult to derive performance improvements only from memory inside the hardware accelerator. In other words, data communication between off-chip DRAM and memory inside the accelerator has a significant impact on the performance of CNN applications. In this paper, a simulator for the CNN is developed to analyze the main memory or DRAM access with respect to the size of the on-chip memory or global buffer inside the CNN accelerator. For AlexNet, one of the CNN architectures, when simulated with increasing the size of the global buffer, we found that the global buffer of size larger than 100kB has 0.8x as low a DRAM access count as the global buffer of size smaller than 100kB.

A Study for Developing Diagnosis Model of Global Innovation Capabilities of SMEs (중소기업 글로벌 혁신역량 진단 모형 개발 연구)

  • Roh, Dong-Gi;Roh, Hyun Sook;Choi, Yun-Jeong;Seo, Jong-Hyen
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.295-303
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    • 2014
  • In this paper, due to the instability of the domestic market, global competition is intensifying in the current situation of global capacity building of SMEs for the purpose of developing a diagnostic indicator placed on the purpose. In this model, the results of applying several companies overall global innovation pilot enterprises and non-rated global innovative companies awarded significant difference between the score and the ability to believe the show. Non-global innovation companies, the relative firm size factor and R&D investment and patent number of factors are lacking appeared shone This is a common small business nature of the majority of companies small and R&D investment, the absolute amount is insufficient to reflect that, but the global innovator in the case of firm size and the relatively large amount of investment that never shows.

Generative Adversarial Networks for single image with high quality image

  • Zhao, Liquan;Zhang, Yupeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.12
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    • pp.4326-4344
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    • 2021
  • The SinGAN is one of generative adversarial networks that can be trained on a single nature image. It has poor ability to learn more global features from nature image, and losses much local detail information when it generates arbitrary size image sample. To solve the problem, a non-linear function is firstly proposed to control downsampling ratio that is ratio between the size of current image and the size of next downsampled image, to increase the ratio with increase of the number of downsampling. This makes the low-resolution images obtained by downsampling have higher proportion in all downsampled images. The low-resolution images usually contain much global information. Therefore, it can help the model to learn more global feature information from downsampled images. Secondly, the attention mechanism is introduced to the generative network to increase the weight of effective image information. This can make the network learn more local details. Besides, in order to make the output image more natural, the TVLoss function is introduced to the loss function of SinGAN, to reduce the difference between adjacent pixels and smear phenomenon for the output image. A large number of experimental results show that our proposed model has better performance than other methods in generating random samples with fixed size and arbitrary size, image harmonization and editing.

IMPROVING GLOBAL SUPPLY CHAIN RISK IDENTIFICATION USING RCF

  • MYUNGHYUN, JUNG;SEYEON, LEE;MINJUNG, GIM;HYUNGJO, KIM;JAEHO, LEE
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.26 no.4
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    • pp.280-295
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    • 2022
  • This paper contains an introduction to industrial problems, solutions, and results conducted with the Korea Association of Machinery Industry. The client company commissioned the problem of upgrading the method of identifying global supply risky items. Accordingly, the factors affecting the supply and demand of imported items in the global supply chain were identified and the method of selecting risky items was studied and delivered. Through research and discussions with the client companies, it is confirmed that the most suitable factors for identifying global supply risky items are 'import size', 'import dependence', and 'trend abnormality'. The meaning of each indicator is introduced, and risky items are selected using export/import data until October 2022. Through this paper, it is expected that countries and companies will be able to identify global supply risky items in advance and prepare for risks in the new normal situation: the economic situation caused by infectious diseases such as the COVID-19 pandemic; and the export/import regulation due to geopolitical problems. The client company will include in his report, the method presented in this paper and the risky items selected by the method.