• E2M - 전기 전자와 첨단 소재
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• 제18권4호
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• pp.12-18
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• 2005

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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• pp.113-116
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• 2000

In this paper, we present new scheme for image coding which efficiently use the relationship between the properties of spatial image and its wavelet transform. Firstly an original image is decomposed into several layers by the wavelet transform, and simultaneously decomposed into 2$\^$n/ ${\times}$ 2$\^$n/ blocks. Each block is classified into 3 regions according to their property, i.e., low activity region(LAR), midrange activity region(MAR), high activity region(HAR). Secondly we are applied texture modeling technique to LAR, MAR and HAR are encoded by Stack-Run coding technique. Finally our scheme Is superior to the Zerotree method in both reconstructed image Quality and transmitted bit rates.

• 한국발생생물학회:학술대회논문집
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• 한국발생생물학회 2003년도 제3회 국제심포지움 및 학술대회
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• pp.9-19
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• 2003

Pig organ is thought to be the most suitable nonhuman organ for xenotransplanstation. However, one of the major constraints to using pig organs for xenotransplantation is human natural antibody-mediated hyperacute rejection (HAR). Elimination of a(1,3) galactosyltransferase (GGTA1) from the pig is expected to be a solution to the problem of hyperacute rejection. Many efforts have made characterization of GGTA1 in structure and function, improvement in the technique of DNA transfection of somatic cells and advancement of the pig NT, a specific modification has been made to one copy of the GGTAl gene by Missouri group in 2002 To date because homozygousity of the genetic modification has been achieved in this gene, the role of gala(1,3) gal specific natural antibody in HAR and the efficacy of xenotransplantation in a nonhuman primate model will be addressed. Of other genes are found to be involved in rejection of pig donors by primates, the technology will be available to modify those genes so that rejection can be overcome.

• 전자통신동향분석
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• 제33권3호
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• pp.89-99
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• 2018

Human activity recognition (HAR) is a technology that aims to offer an automatic recognition of what a person is doing with respect to their body motion and gestures. HAR is essential in many applications such as human-computer interaction, health care, rehabilitation engineering, video surveillance, and artificial intelligence. Smartphones are becoming the most popular platform for activity recognition owing to their convenience, portability, and ease of use. The noticeable change in smartphone-based activity recognition is the adoption of a deep learning algorithm leading to successful learning outcomes. In this article, we analyze the technology trend of activity recognition using smartphone sensors, challenging issues for future development, and a strategy change in terms of the generation of a activity recognition dataset.

• 한국수정란이식학회:학술대회논문집
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• 한국수정란이식학회 2003년도 제3회 발생공학 국제심포지움 및 학술대회
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• pp.9-19
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• 2003

Pig organ is thought to be the most suitable nonhuman organ for xenotransplanstation. However, one of the major constraints to using pig organs for xenotransplantation is human natural antibody-mediated hyperacute rejection (HAR). Elimination of a(1,3) galactosyltransferase (GGTA1) from the pig is expected to be a solution to the problem of hyperacute rejection. ry1any efforts have made characterization of GGTA1 in structure and function. improvement in the technique of DNA transfection of somatic cells and advancement of the pig NT, a specific modification has been made to one copy of the GGTA1 gene by Missouri group in 2002. To date because homozygousity of the genetic modification has been achieved in this gene, the role of gala(1,3) gal specific natural antibody in HAR and the efficacy of xenotransplantation in a nonhuman primate model will be addressed. If other genes are found to be involved in rejection of pig donors by primates, the technology will be available to modify those genes so that rejection can be overcome.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1118-1133
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• 2017

Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

• Communications for Statistical Applications and Methods
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• 제30권3호
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• pp.273-289
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• 2023

In this paper, we develop a new time series model for predicting IPO (initial public offering) data with non-negative integer value. The proposed model is based on integer-valued autoregressive (INAR) model with a Poisson thinning operator. Just as the heterogeneous autoregressive (HAR) model with daily, weekly and monthly averages in a form of cascade, the integer-valued heterogeneous autoregressive (INHAR) model is considered to reflect efficiently the long memory. The parameters of the INHAR model are estimated using the conditional least squares estimate and Yule-Walker estimate. Through simulations, bias and standard error are calculated to compare the performance of the estimates. Effects of model fitting to the Korea's IPO are evaluated using performance measures such as mean square error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) etc. The results show that INHAR model provides better performance than traditional INAR model. The empirical analysis of the Korea's IPO indicates that our proposed model is efficient in forecasting monthly IPO volumes.

• 한국수정란이식학회지
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• 제28권3호
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• pp.289-295
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• 2013

Xenotransplantation of pig organs into primates results in fatal damage, referred as hyperacute rejection (HAR), and acute humoral xenograft rejection (AHXR), to the organ graft mediated by antibodies pre-existing and newly-producing in primates against their cognate pig antigens. Functional ablation of ${\alpha}1$,3-galactosyltransferase (Gal-T KO) of pig which is an enzyme involved in synthesis of Gala1-3Galb1-4GlcNAc-R antigen is essentially required to prevent HAR. Moreover, additional genetic modification under Gal-T KO background for enforced expression of human complement regulatory proteins which can inhibits complement activation is known to effectively imped HAR and AHXR. In this study, we constructed a membrane cofactor protein (MCP) expression cassette under control of human $EF1{\alpha}$ promoter. This cassette was inserted between homologous recombination regions corresponding to Gal-T locus. Subsequently this vector was introduced into ear skin fibroblasts of female pig by nucleofection. We were able to obtained 40 clones by neomycin selection and 4 clones among them were identified as clones targeted into Gal-T locus of MCP expression cassette by long-range PCR. Real time RT-PCR was shown to down-regulation of Gal-T expression. From these results, we demonstrated human $EF1{\alpha}$ promoter could induce efficient expression of MCP on cell surface of fibroblasts of female pig.

• 반도체디스플레이기술학회지
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• 제21권4호
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• pp.53-58
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• 2022

Shape changes of hard mask play a key role in the aspect ratio dependent etch (ARDE). For etch process using high density and energy ions, deformation of hard mask shape becomes more severe, and high aspect ratio (HAR) etch profile is distorted. In this study, polygonal geometric model for shape-deformation of amorphous carbon layered hard mask is suggested to control etch profile during the process. Mask shape is modeled with polygonal geometry consisting of trapezoids and rectangles, and it provides dynamic information about angles of facets and etched width and height of remained mask shape, providing important features for real-time HAR etch profiling.

• 환경위생공학
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• 제20권1호
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• pp.64-75
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• 2005

2005.1.1부터 직 매립 금지 이후 음식물쓰레기를 처리하는 데 있어 많은 사회적 문제가 대두되고 있다. 그리고 우리나라의 경우 전국 음식물쓰레기 배출량이 11,398ton/day('03)으로 상당히 많은 양이 배출되고 있으며, 주로 음식물쓰레기는 매립, 소각, 사료나 퇴비로 재활용하는 방법으로 처리하고 일부 음식물쓰레기는 혐기성으로 처리 하는 방법이 사용되어 왔다. 이 중 혐기성 처리는 유용한 메탄가스를 발생하여 에너지로 사용가능 하다. 본 연구에서는 pH가 낮고 많은 양의 유기물과 고형물을 함유하고 있어 1단 혐기성 처리시 운전에 영향을 줄 것으로 예상되는 음식물쓰레기의 1단 혐기성처리 가능성 및 혐기성 처리시 메탄가스를 이용하여 에너지로서 사용 가능성에 대해 알아보고자 연구를 실시 하였다. 처리시간과 비용을 절감하기 위해 산형성조를 거치지 않고 반 고형물의 유입시 부유물로 인해 발생될 수 있는 plugging와 channeling 현상을 방지하기 위해 USAB(up flow anaerobic sludge blank)의 장점과 낮은 pH의 음식물 쓰레기의 유입시 미생물에 미칠 수 있는 충격을 최소화 할 수 있는 AE(anaerobic filter)장점을 조합하여 환형유공 지지막속에 그레뉼을 충진시킨 Hybrid Anaerobic Reactor(HAR)를 제작하여 실험을 실시하였다. 본 연구에 앞서 음식물쓰레기의 혐기성 생분해도 실험을 실시하여 혐기성처리가능성을 검토하였으며 실험결과 첨가된 VS량당 총 누적메탄량은 $0.471(m^{3}/\cal{kg}\;VS)$로 원소 분석하여 얻은 이론 메탄발생량 $0.58(m^{3}/\cal{kg}\;VS)$의 $81.2\%$를 나타냈으며 유기물 분해속도 상수는 $0.18(d^{-1})$로 혐기성 처리가 가능하다는 사전 연구 결론을 도출하였다. 연구 결과, 낮은 pH인 음식물 쓰레기를 처리시 산발효조를 거치지 않고도 혐기성 처리가 가능하였으며, 높은 농도로 존재하는 유기물 및 고형물의 처리효율은 매우 양호했고 또한 인의 제거율도 높게 나타났다. 연구결과를 토대로 전국 음식물쓰레기(11,398ton/d)를 대상으로 에너지를 산출하면 Braun에너지 환산계수 $5.97kwh/m3(60\%\;CH_{4})$를 적용할 때 우리나라의 1일 음식물에서 발생되는 에너지 총량은 6,727MWh로 환산될 수 있으며 이는 유기물(COD)당 발생되는 메탄 가스량을 에너지원으로 사용하기에 충분히 가능하다는 것을 확인할 수 있었다. 이상의 결과에 의하면 고농도의 유기물이 함유된 음식물쓰레기는 Hybrid Anaerobic Reactor (HAR)를 이용하여 HRT 30일 정도에서 충분히 직접 혐기성처리가 가능하며, 이때 발생된 $CH_{4}$를 회수하여 이용하면 대체에너지원으로 활용 가치가 높은 것으로 판단된다.