• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.315-316
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• 2015

본 논문에서는 3-레벨 Neutral-Point-Clamped (NPC) 인버터의 DC-Link 중성점 전압 리플을 저감하여 인버터 출력 전압의 품질 신뢰성 향상이 가능한 새로운 Discontinuous Pulse Width Modulation (DPWM) 기법을 제안한다. NPC 인버터에서는 두 개의 커패시터로 이루어진 DC-Link 구조로 인해 상, 하단 DC-Link 커패시터 전압 불평형인 상황에서 DC-Link 중 성점 전압 리플이 발생한다. 중성점 전압 리플 발생 시 출력 전압의 품질을 보장할 수 없으며, 민감한 부하에 손상을 입힐 수 있다. 제안한 DPWM 알고리즘은 DC-Link 커패시터 전압을 조정하는 두 개의 오프셋을 사용하여 중성점 전압 리플을 저감한다. 또한, 시뮬레이션을 통해 본 논문에서 제안한 알고리즘의 타당성을 검증한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.658-660
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• 2015

W3C가 발표한 차세대 웹 표준 HTML5의 등장으로 자바스크립트의 기능이 대폭 향상 되었다. 별도의 플러그인 설치 없이 자바스크립트만으로 미디어 재생, 3D 그래픽 처리, 웹 소켓 통신 등을 제공함으로서 Active X와 같은 비표준 기술을 대체할 만큼 강력한 기능을 제공하고 있다. 이러한 흐름에 맞추어 HTML5 기능의 핵심이 되는 자바스크립트를 악용한 위험성을 인지하고 이와 관련된 연구도 활발히 이루어지고 있다. 하지만, 현재의 악성 스크립트를 탐지하는 기술은 대부분 시그니처를 기반으로 하는 패턴 매치이기 때문에 난독화 된 악성 스크립트를 탐지하기에는 많은 한계가 있다. 따라서 본 논문에서는 이런 한계를 극복하기 위해 호스트레벨에서 난독화 된 악성 스크립트를 탐지 및 실행을 방지할 수 있는 난독화 된 악성 스크립트 대응 기술을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.829-832
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• 2012

MQTT(Message Queue Telemetry Transport) 는 IBM 에서 발표한 오픈 프로토콜이다. MQTT 는 메시지 전달의 신뢰성 보장을 위하여 3 단계의 QoS 를 지원한다. 본 논문에서는 실제 유/무선 네트워크 환경에서의 Publish 클라이언트에서 Broker 서버를 지나, Subscribe 클라이언트에 이르기까지 메시지 전달에 대하여 분석한다. 메시지는 MQTT 의 3 단계의 QoS 레벨과 페이로드 크기를 다양하게 전달하여 패킷을 캡쳐하고, 메시지에 대한 종단 간 지연과 메시지 손실에 대한 분석과 상관관계의 결과를 제시한다.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.427-428
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• 2020

본 논문에서는 최소손실 불연속 변조 기법에 따른 2레벨 3상 전압원 인버터의 DC 링크 전압 리플을 분석하고 이를 통해 DC 링크 커패시터 전기 용량을 선정하는 방법을 제시하였다. 커패시터 전기 용량은 클수록 전압 리플을 제한하는 데 유리하지만, 이는 인버터 제작비용을 증가시키고 전력 밀도를 낮춘다. 따라서 DC 링크 커패시터 전기 용량을 적절히 선정하는 것이 중요하다. PSIM을 이용한 매입형 영구자석 동기 전동기 구동모의실험으로 제시한 분석 방법의 타당성을 검증하였다.

• Journal of the Microelectronics and Packaging Society
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• v.19 no.4
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• pp.71-78
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• 2012

This paper describes trends in conventional scaling compared with advanced technologies such as 3D integration (3DI) and bumpless through-silicon via (TSV) processes, as well as the characteristics of CMOS (Complementary Metal Oxide Semiconductor) Logic device after thinning the wafers to less than $10{\mu}m$. Each module process including thinning, stacking, and TSV, is optimized for 3D Wafer-on-Wafer (WOW) application. Optimization results are discussed with valuable data in detail. Since vertical wiring of bumpless TSV can be connected directly to the upper and lower substrates by self-alignment, bumps are not necessary when TSV interconnects are used.

• Journal of Life Science
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• v.30 no.1
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• pp.88-95
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• 2020

Using a random arbitrarily primed polymerase chain reaction, messenger RNA expression levels were assessed after exposure to 10% (v/v) toluene for 8 hr in solvent-tolerant Pseudomonas sp. BCNU 106. Among the 100 up-expressed products, 50 complementary DNA fragments were confirmed to express repeatedly; these were cloned and then sequenced. Blast analysis revealed that toluene stimulated an adaptive increase in the gene expression level in association with transcriptions such as LysR family of transcriptional regulators and RNA polymerase factor sigma-32. The expression of catalase and Mn2+/Fe2+ transporter genes functionally associated with inorganic ion transport and metabolism increased, and the increased expression of type IV pilus assembly PilZ and multi-sensor signal transduction histidine kinase genes, functionally categorized into signal transduction and mechanisms, was also demonstrated under toluene stress. The gene expression level of beta-hexosaminidase in association with carbohydrate transport and metabolism increased, and those of DNA polymerase III subunit epsilon, DNA-3-methyladenine glycosylase II, DEAD/DEAH box helicase domain-containing protein, and ABC transporter also increased after exposure to toluene in DNA replication, recombination, and repair, and even in defense mechanism. In particular, the RNAs corresponding to the ABC transporter, Mn2+/Fe2+ transporter, and the β-hexosaminidase gene were confirmed to be markedly induced in the presence of 10% toluene. Thus, defense mechanism, cellular ion homeostasis, and biofilm formation were shown as essential for toluene tolerance in Pseudomonas sp. BCNU 106.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.9C
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• pp.868-875
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• 2003

In this paper, enhanced multiresolution motion estimation(MRME) using reduction of one-pixel shift in wavelet domain is proposed. Conventional multiresolution motion estimation using hierarchical relationship of wavelet coefficient has difficulty for accurate motion estimation due to shift-variant property by decimation process of the wavelet transform. Therefore, to overcome shift-variant property of wavelet coefficient, two level wavelet transform is performed. In order too reduce one-pixel shift on low band signal, S$_4$ band is interpolated by inserting average value. Secondly, one level wavelet transform is applied to the interpolated S$_4$ band. To estimate initial motion vector, block matching algorithm is applied to low band signal S$_{8}$. Multiresolution motion estimation is performed at the rest subbands in low level. According to the experimental results, proposed method showed 1-2dB improvement of PSNR performance at the same bit rate as well as subjective quality compared with the conventional multiresolution motion estimation(MRME) methods and full-search block matching in wavelet domain.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.153-164
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• 2010

A program consumes energy by executing its instructions. The amount of cosumed power is mainly proportional to algorithm complexity and it can be calculated by using complexity information. Generally, the complexity of a S/W is estimated by the microprocessor simulator. But, the simulation takes long time why the simulator is a software modeled the hardware and it only provides the information about computational complexity quantitatively. In this paper, we propose a complexity estimation method of analysis of S/W on source code level and produce the complexity metric mathematically. The function-wise complexity metrics give the detailed information about the calculation-concentrated location in function. The performance of the proposed method is compared with the result of the gate-level microprocessor simulator 'SimpleScalar'. The used softwares for performance test are $4{\times}4$ integer transform, intra-prediction and motion estimation in the latest video codec, H.264/AVC. The number of executed instructions are used to estimate quantitatively and it appears about 11.6%, 9.6% and 3.5% of error respectively in contradistinction to the result of SimpleScalar.

• Journal of the Korean Society of Radiology
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• v.16 no.3
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• pp.203-209
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• 2022

One of the typical methods for lowering radiation dose while maintaining image quality of computed tomography (CT) is the use of model-based iterative reconstruction (MBIR). This study is to evaluate the image quality by adjusting the strength of the advanced modeled iterative reconstruction (ADMIRE), which is well known as a representative model of MBIR. The study was conducted using phantom, and CT images were obtained while adjusting the strength of ADMIRE in units of 1 to 5. Quantitative evaluation includes noise levels using coefficient of variation (COV) and contrast to noise ratio (CNR), as well as natural image quality evaluation (NIQE) and blind/referenceless image spatial quality evaluator (BRISQUE). As a result, in both noise level and blind quality evaluation results, the higher the strength of ADMIRE, the better the results were derived. In particular, it was confirmed that COV and CNR were improved 1.89 and 1.75 times at ADMIRE 5 compared to ADMIRE 1, respectively, and NIQE and BRISQUE were proved to be improved 1.35 and 1.22 times at ADMIRE 5 compared to ADMIRE 1, respectively. In conclusion, this study was proved that the reconstruction strength of ADMIRE had a great influence on the noise level and overall image quality evaluation of CT images.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.185-207
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• 2022

Recently, with the development of deep learning technology, researches to apply a deep learning algorithm to analyze unstructured data such as text and images are being actively conducted. Text classification has been studied for a long time in academia and industry, and various attempts are being performed to utilize data characteristics to improve classification performance. In particular, a hierarchical relationship of labels has been utilized for hierarchical classification. However, the top-down approach mainly used for hierarchical classification has a limitation that misclassification at a higher level blocks the opportunity for correct classification at a lower level. Therefore, in this study, we propose a methodology for classifying hierarchical data using the autoencoder-based deeply supervised network that high-level classification does not block the low-level classification while considering the hierarchical relationship of labels. The proposed methodology adds a main classifier that predicts a low-level label to the autoencoder's latent variable and an auxiliary classifier that predicts a high-level label to the hidden layer of the autoencoder. As a result of experiments on 22,512 academic papers to evaluate the performance of the proposed methodology, it was confirmed that the proposed model showed superior classification accuracy and F1-score compared to the traditional supervised autoencoder and DNN model.