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안상준(Sangjun Ahn),신동천(Dongcheon Shin) 한국전자거래학회 2019 한국전자거래학회지 Vol.24 No.2
통신 인프라 구축과 최적화를 위해서는 각 구성 요소들의 연관성을 고려할 필요가 있다. 본 논문에서는 최적화된 통신 인프라 구축을 위해 필요한 주요 고려사항을 바탕으로 성능이 향상된 MACSec 기반의 통신 인프라 구성 방안을 제시한다. 제안된 MACSec 기반 기술은 통신 인프라를 처음부터 다시 설계하지 않고 IPSec 기술을 별도의 장비를 추가하지 않고 대체할 수 있다. 아울러, 구성 시 주요 고려사항인 메시지 오버헤드와 암호화 처리 성능, 그리고 이동성 측면에서 실험을 통해 IPSec과 성능을 평가한다. 시험 결과에 따르면 MACSec으로 구현된 암호화 네트워크에서 IPSec보다 Hop 지연과 메시지 오버헤드와 같은 일반적 성능뿐만 아니라 연결 지점 변경 시험을 통해 이동성 성능이 우위에 있다. It is essential to consider the relationships between each component in the communication infrastructure in order to build and optimize the infrastructure. In this paper, based on the major factors to consider for the optimized communication infrastructure, we propose an enhanced MACSec-based deployment mechanism for communication infrastructure. The proposed MACSec mechanism can replace the IPSec without the additional devices and redesign of the communication infrastructure. In addition, we evaluate the performance of MACSec and IPSec in terms of the major factors such as message overhead, encryption processing, and host mobility. According to the evaluation results, we can say that MACSec is superior to IPSec with regard to mobility as well as hop delay and message overhead.
Ahn, Jongho,Oh, Sora,Lee, HyunKyung,Lee, Sangjun,Song, Chang Eun,Lee, Hang Ken,Lee, Sang Kyu,So, Won-Wook,Moon, Sang-Jin,Lim, Eunhee,Shin, Won Suk,Lee, Jong-Cheol American Chemical Society 2019 ACS APPLIED MATERIALS & INTERFACES Vol.11 No.33
<P>Most non-fullerene acceptors (NFAs) are designed in a complex planar molecular conformation containing fused aromatic rings in high-efficiency organic solar cells (OSCs). To obtain the final molecules, however, numerous synthetic steps are necessary. In this work, a novel simple-structured NFA containing alkoxy-substituted benzothiadiazole and a rhodanine end group (BTDT2R) is designed and synthesized. We also investigate the photovoltaic properties of BTDT2R-based OSCs employing representative polymer donors (wide band gap and high-crystalline P3HT, medium band gap and semicrystalline PPDT2FBT, and narrow band gap and low-crystalline PTB7-Th) to compare the performance capabilities of fullerene acceptor-based OSCs, which are well matched with various polymer donors. OSCs based on P3HT:BTDT2R, PPDT2FBT:BTDT2R, and PTB7-Th:BTDT2R achieved efficiency as high as 5.09, 6.90, and 8.19%, respectively. Importantly, photoactive films incorporating different forms of optical and molecular ordering characteristics exhibit favorable morphologies by means of solvent vapor annealing. This work suggests that the new n-type organic semiconductor developed here is highly promising as a universal NFA that can be paired with various polymer donors with different optical and crystalline properties.</P> [FIG OMISSION]</BR>
Human-level blood cell counting on lens-free shadow images exploiting deep neural networks
Ahn, DaeHan,Lee, JiYeong,Moon, SangJun,Park, Taejoon The Royal Society of Chemistry 2018 The Analyst Vol.143 No.22
<P>In point-of-care testing, in-line holographic microscopes paved the way for realizing portable cell counting systems at marginal cost. To maximize their accuracy, it is critically important to reliably count the number of cells even in noisy blood images overcoming various problems due to out-of-focus blurry cells and background brightness variations. However, previous studies could detect cells only on clean images while they failed to accurately distinguish blurry cells from background noises. To address this problem, we present a human-level blood cell counting system by synergistically integrating the methods of normalized cross-correlation (NCC) and a convolutional neural network (CNN). Our comprehensive performance evaluation demonstrates that the proposed system achieves the highest level of accuracy (96.7-98.4%) for any kinds of blood cells on a lens-free shadow image while others suffer from significant accuracy degradations (12.9-38.9%) when detecting blurry cells. Moreover, it outperforms others by up to 36.8% in accurately analyzing noisy blood images and is 24.0-40.8× faster, thus maximizing both accuracy and computational efficiency.</P>