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신지수,이영훈 대한안과학회 2017 Korean Journal of Ophthalmology Vol.31 No.6
Purpose: The aim of this study was to evaluate the changes in thickness of each macular retinal layer, theperipapillary retinal nerve fiber layer (RNFL), and central macular thickness (CMT) after 577-nm pattern scanninglaser (PASCAL) photocoagulation in patients with diabetic retinopathy. Methods: This retrospective study included 33 eyes with diabetic retinopathy that underwent 577-nm PASCALphotocoagulation. Each retinal layer thickness, peripapillary RNFL thickness, and CMT were measured byspectral-domain optical coherence tomography before 577-nm PASCAL photocoagulation, as well as at 1,6, and 12 months after 577-nm PASCAL photocoagulation. Computerized intraretinal segmentation of opticalcoherence tomography was performed to identify the thickness of each retinal layer. Results: The average thickness of the RNFL, ganglion cell layer, inner plexiform layer, inner nuclear layer, innerretinal layer, and CMT at each follow-up increased significantly from baseline (p < 0.001), whereas that of theretinal pigment epithelium at each follow-up decreased significantly from baseline (p < 0.001). The averagethickness of the peripapillary RNFL increased significantly at one month (p < 0.001). This thickness subsequentlyrecovered to 7.48 μm, and there were no significant changes at six or 12 months compared to baseline(p > 0.05). Conclusions: Each macular retinal layer and CMT had a tendency to increase for one year after 577-nm PASCALphotocoagulation, whereas the average thickness of retinal pigment epithelium decreased at one-yearfollow-up compared to the baseline. Although an increase in peripapillary RNFL thickness was observed onemonth after 577-nm PASCAL photocoagulation, there were no significant changes at the one-year follow-upcompared to the baseline.
링크 교환을 이용한 무선 센서 네트워크용 체인 토폴로지 : LECSEN
신지수,서창진,Shin, Ji-Soo,Suh, Chang-Jin 한국정보처리학회 2008 정보처리학회논문지 C : 정보통신,정보보안 Vol.15 No.4
In WSN(Wireless Sensor Network) many routing algorithms such as LEACH, PEGASIS and PEDEP consisting of sensor nodes with limited energy have been proposed to extend WSN lifetime. Under the assumption of perfect fusion, these algorithms used convergecast that periodically collects sensed data from all sensor nodes to a base station. But because these schemes studied less energy consumption for a convergecast as well as fairly energy consumption altogether, the minimum energy consumption for a convergecast was not focused enough nor how topology influences to energy consumption. This paper deals with routing topology and energy consumption for a single convergecast in the following ways. We chose major WSN topology as MSC(Minimum Spanning Chain)s, MSTs, PEGASIS chains and proposed LECSEN chains. We solved the MSC length by Linear Programming(LP) and propose the LECSEN chain to compete with MST and MSC. As a result of simulation by Monte Carlo method for calculation of the topology length and standard deviation of link length, we learned that LECSEN is competitive with MST in terms of total energy consumption and shows the best with the view of even energy consumption at the sensor nodes. Thus, we concluded LECSEN is a very useful routing topology in WSN. 무선 센서 네트워크(Wireless Sensor Network : WSN)에서 한정된 에너지를 가진 센서 노드의 동작 기간을 연장하기 위해서 LEACH와 PEGASIS, PEDAP 등의 대표적인 라우팅 방식이 제안되었다. 이들은 데이터가 완전 퓨전(perfect fusion)되는 환경에서 주기적으로 데이터를 수집하여 한 노드로 전송하는 convergecast 라우팅 방식을 사용한다. 그러나 convergecast와 에너지 분배를 동시에 다루는 과정에서 토폴로지에 관한 특성과 한계에 대한 연구는 거의 이루어지지 않았다. 이 논문은 한 번의 convergecast에 소비되는 총에너지의 관점에서 토폴로지를 다음과 같이 연구하였다. 우리는 주요 라우팅 토폴로지로 최소 스패닝 체인(Minimum Spanning Chain : MSC)과 최소 스패닝 트리(Minimum Spanning Tree : MST), PEGASIS 체인, 제안하는 LECSEN체인을 소개하거나 정의하였다. 우리는 MSC를 선형 프로그래밍(LP) 방식으로 풀었으며, MSC나 MST에 준하는 토폴로지를 만들기 위해서 LECSEN 체인을 제안하였다. Monte Carlo 방식의 시뮬레이션을 통해 토폴로지의 전체 길이와 각 링크 길이의 분포를 분석한 결과, 대부분의 WSN 환경에서 LECSEN은 MST에 필적할 만큼 에너지를 적게 소모하고, 각 센서 노드의 에너지 소비가 매우 균등하였다. 그러므로 우리는 LECSEN 체인이 WSN 라우팅에서 매우 유용하다는 사실을 확인하였다.
신지수,송호윤,박종철 한국정보과학회 2022 정보과학회논문지 Vol.49 No.11
Implicitly abusive language detection is a difficult problem to solve due to diversity of expressions and absence of a clear definition. Previous studies have claimed that implicitly abusive language should be classified and defined in detail, accompanied by corresponding datasets. However, this is not only inefficient, but also hard to flexibly respond to language changes. Our work proposes an efficient and effective method that processes implicitly abusive language as Out-of-Distribution data for the first time. In our experiments, a model with the proposed method performed better than a general pre-trained model and lexicon-based models. We also performed sentiment analysis and a case study to analyze characteristics of implicitly abusive language in detail and differences between a general pre-trained model and our model. 암묵적 언어폭력 탐지는 표현의 다양성과 명확한 기준의 부재로 인하여 해결하기 어려운 문제이다. 선행연구에 따르면 암묵적 언어폭력을 세세하게 분류하고 정의함과 동시에 이에 해당하는 데이터셋을 만드는 과정이 필요하다. 그러나 이는 효율적이지 않을 뿐만 아니라 언어의 변화에 유연하게 대처하기 어렵다는 단점이 있다. 본 연구는 이를 해결하기 위한 효율적이고 효과적인 방법론으로 암묵적 언어폭력을 분포 외 데이터로 처리하는 방법을 처음으로 제안한다. 암묵적 언어폭력 탐지에서 분포 외 데이터 방법론을 적용한 사전학습 모델이 일반 사전학습 모델과 어휘 기반 모델보다 효과적임을 실험을 통해 확인하였다. 또한 감성분석과 사례 연구를 통하여 암묵적 언어폭력의 특성을 살펴보았으며 일반 사전학습 모델과 본 연구에서 제안하는 모델의 차이를 자세히 분석하였다.
Auxetic Transparent Stretchable Films with Barrier Properties
신지수,이종휘 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.2
Elastomers have been used in research for the development of display devices or flexible composite materials that can be attached to the skin. However, the use of elastomer is limited due to high moisture permeability and positive Poisson"s ratio. In this study, poly(dimethylsiloxane) (PDMS) as a polymer and cellulose nanocrystal (CNC) as a filler were used. CNC was prepared from Avicel using tetrabutylphosphonium hydroxide (TBPH), and a complex with PDMS was constructed using the directional freezing technique. The manufacturing of CNC was confirmed through laser-light-scattering observation and SEM. A change in the birefringence of composites was observed through the crossed polarization of the optical microscope for the detection of the alignment structure of the CNC. Transparency was secured through the combination of CNC and PDMS into composite films. Auxetic and barrier properties can be merged by structural engineering of CNC and the surface modification methods of PDMS.