• Proceedings of the KIPE Conference
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• 전력전자학회 2016년도 추계학술대회 논문집
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• pp.9-10
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• 2016

최근 급속한 산업 발달로 인하여 기존의 수 MW급 대용량 인버터가 산업용 팬, 컴프레서, 고속 철도 시스템 등 여러 분야에 사용되면서 이와 관련된 대용량 인버터 연구가 활발히 진행 중이다. 이런 대용량 인버터는 고효율과 직병렬의 구성된 전력용반도체 소자를 동시다발적으로 제어되어야하기 때문에 멀티레벨 인버터의 구조가 가장 적합하다. Cascaded H-bridge 멀티레벨 인버터는 커패시터와 다이오드를 사용하지 않고 스위치만으로 구성하며, 필터를 따로 구성하지 않아도 정현파와 유사하게 전압을 출력할 수 있다. 이로 인해 고주파 감소 및 각 셀을 직렬로 연결하여 입력전압보다 높은 출력전압을 얻을 수 있다. 또한, 스위칭 방법에 따라 동일한 Cascaded H-bridge 멀티레벨인버터 토폴로지에서도 각 THD와 온도에 따른 손실이 달라질 수 있다. Cascaded H-bridge 멀티레벨 인버터에서 이용하는 스위칭 방식은 첫 번째로 유니폴라 방식을 기본으로 한 Phase-shift가 있다. 이는 180도 위상차를 갖는 2개의 레퍼런스 파형과 위상천이가 된 캐리어 파형의 비교로 PWM (Pulse Width Modulation) 을 수행한다. 두 번째 방식으로는 Level-shift가 있다. 이는 캐리어 파형을 IPD (In-Phase Disposition) 방식으로 수직적으로 대역폭이 연속적이게 나열하여 레퍼런스 파형과 비교하는 PWM방식이다. 본 논문에서는 Phase-shift와 Level-shift 방식에 따른 Cascaded H-bridge 인버터와 NPC (Neutral Point Clamped) 인버터를 결합한 토폴로지에서의 온도에 따른 손실을 분석하고, 시뮬레이션을 통하여 비교 분석하였다.

• KIPS Transactions on Computer and Communication Systems
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• 제5권2호
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• pp.33-40
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• 2016

Due to the growth of social network systems (SNS), big data are realized and Hadoop was developed as a distributed platform for analyzing big data. Enterprises analyze data containing users' sensitive information by using Hadoop and utilize them for marketing. Therefore, researches on data encryption have been done to protect the leakage of sensitive data stored in Hadoop. However, the existing researches support only the AES encryption algorithm, the international standard of data encryption. Meanwhile, Korean government choose ARIA algorithm as a standard data encryption one. In this paper, we propose a HDFS data encryption scheme using ARIA algorithms on Hadoop. First, the proposed scheme provide a HDFS block splitting component which performs ARIA encryption and decryption under the distributed computing environment of Hadoop. Second, the proposed scheme also provide a variable-length data processing component which performs encryption and decryption by adding dummy data, in case when the last block of data does not contains 128 bit data. Finally, we show from performance analysis that our proposed scheme can be effectively used for both text string processing applications and science data analysis applications.

• The KIPS Transactions:PartA
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• 제15A권6호
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• pp.301-308
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• 2008

The crossed cube has received great attention because it has equal or superior properties to the hypercube that is widely known as a versatile parallel processing system. It has been known that a mesh of size $2{\times}2^m$ can be embedded into a crossed cube with dilation 1 and expansion 1 and a mesh of size $4{\times}2^m$ with dilation 1 and expansion 2. However, as we know, it has been a conjecture that a mesh with more than eight rows and columns can be embedded into a crossed cube with dilation 1. In this paper, we show that a mesh of size $2^n{\times}2^m$ can be embedded into a crossed cube with dilation 1 and expansion $2^{n-1}$ where $n{\geq}1$ and $m{\geq}3$.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제12권11호
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• pp.2031-2038
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• 2008

A small-area and high-speed authentication/security processor (WUSB_Sec) IP is designed, which performs the 4-way handshake protocol for authentication between host and device, and data encryption/decryption of wireless USB system. The PRF-256 and PRF-64 are implemented by CCM (Counter mode with CBC-MAC) operation, and the CCM is designed with two AES (Advanced Encryption Standard) encryption coles working concurrently for parallel processing of CBC mode and CTR mode operations. The AES core that is an essential block of the WUSB_Sec processor is designed by applying composite field arithmetic on AF$(((2^2)^2)^2)$. Also, S-Box sharing between SubByte block and key scheduler block reduces the gate count by 10%. The designed WUSB_Sec processor has 25,000 gates and the estimated throughput rate is about 480Mbps at 120MHz clock frequency.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2018년도 학술발표회
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• pp.278-278
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• 2018

현재 우리나라에서는 행정안전부의 풍수해저감종합계획, 사전재해영향성검토협의, 재해위험지구개선사업 등에 해외에서 개발된 상용프로그램이 사용돼 접근성 저하로 인해 지자체 방재담당자의 실무나 대학에서 연구용으로 다루기에는 한계가 있다. 이에 본 연구에서는 내수침수, 외수침수, 2차원 침수해석으로 구성하여 GUI 기능을 강화한 통합침수재해지도 작성시스템(i-FIM, Integrated Flood Inundation Modeling system)을 개발하여 입력자료의 구성 및 매개변수의 수정이 용이하게 함으로써 하수관망 등에 부분적인 설계 변경이 있는 경우 지자체 방재담당자가 간단한 작업을 통해 침수영향 변화를 쉽게 파악할 수 있도록 하였다. 또한, 상세한 지형의 반영이 필요한 도시지역의 2차원 침수해석의 경우 계산격자 망의 크기가 작아질수록 소요되는 계산시간이 기하급수적으로 증가하는 한계가 있어 i-FIM에서는 계산격자를 $2{\times}2$, $3{\times}3$, $5{\times}5$ Subgrid 형태의 격자를 적용하고, 병렬프로그래밍과 계산시간조정 기능을 추가하여 2차원 침수해석 모형의 계산 속도를 향상시켰다. 이를 실무에 적용하기 앞서 2006년 집중호우로 인해 안성시에서 발생한 제방 붕괴사상, 2016년 태풍 차바로 인해 울산시에서 발생한 제방 월류 사상을 통해 침수흔적도와 비교하여 검증을 실시하였다. i-FIM에서 최종적인 2차원 침수해석 결과는 2017년에 개정된 '재해지도 작성 기준 등에 관한 지침'의 침수심 등급 구분의 색채 설정에 따라 각 격자별 침수심을 표출함으로써 표준화된 재해지도 작성이 가능하도록 하였다. 또한, 포털사이트의 지도 및 위성지도에 표출함으로써 침수 위험이 발생할 수 있는 지역의 현재 이용 용도를 파악하여 침수재해에 대한 상세한 대책을 마련할 수 있을 것으로 판단된다.

• The Journal of the Korea institute of electronic communication sciences
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• 제16권3호
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• pp.401-406
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• 2021

Recently, mean-teacher models based on convolutional recurrent neural networks are popularly used in audio event detection. The mean-teacher model is an architecture that consists of two parallel CRNNs and it is possible to train them effectively on the weakly-labelled and unlabeled audio data by using the consistency learning metric at the output of the two neural networks. In this study, we tried to improve the performance of the mean-teacher model by using additional derivative features of the log-mel spectrum. In the audio event detection experiments using the training and test data from the Task 4 of the DCASE 2018/2019 Challenges, we could obtain maximally a 8.1% relative decrease in the ER(Error Rate) in the mean-teacher model using proposed derivative features.

• Journal of Korean Society of Water and Wastewater
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• 제33권4호
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• pp.251-258
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• 2019

The physical treatment such as chemical precipitation or adsorption was usually added after biological treatment in wastewater treatment process since it was enforced to reduce the concentration of phosphate for wastewater effluent to 0.2 mg/L as P which was well known as one of main nutrient causing eutrophication in waterbody. Therefore, the new material functioned for both adsorption and disinfection was prepared with Fe and Cu, and $TiO_2$, respectively, by changing the ratio of concentration referred to tri-metal (TM). According to SEM-EDS, $TiO_2$ was 30~40% composition for any TM regardless of any synthesis condition. However, the ratio of composition for Fe and Cu was dependent on the initial Fe and Cu concentration, respectively. The removal efficiency of phosphate was obtained to 15% at low initial concentration and the maximum uptake (Q) was calculated to ~11 mg/g through Langmuir isotherm model using TM1 which was synthesized at 1000 mg/L, 1000 mg/L, and 2 g (10 g/L) for $Fe(NO_3)_3$, $Cu(NO_3)_2$, $TiO_2$, respectively. In disinfection test, the efficiency of virus removal using TM was increased with increase of dosage of TM and can be reached 98% at 0.2 g.

• The Journal of the Acoustical Society of Korea
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• 제38권1호
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• pp.51-55
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• 2019

This paper proposes a speech enhancement method utilizing the feature compensation gain for robust speech recognition performances in noisy environments. In this paper we propose a speech enhancement method utilizing the feature compensation gain which is obtained from the PCGMM (Parallel Combined Gaussian Mixture Model)-based feature compensation method employing variational model composition. The experimental results show that the proposed method significantly outperforms the conventional front-end algorithms and our previous research over various background noise types and SNR (Signal to Noise Ratio) conditions in mismatched ASR (Automatic Speech Recognition) system condition. The computation complexity is significantly reduced by employing the noise model selection technique with maintaining the speech recognition performance at a similar level.

• Journal of Broadcast Engineering
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• 제23권6호
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• pp.939-946
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• 2018

In this paper, we implement a viewer program that can monitor effectively using omni-directional images. The program consists of four modes: Normal mode, ROI(Region of Interest) mode, Tracking mode, and Auto-rotation mode, and the results for each mode is displayed simultaneously. In the normal mode, the wide angle image is rendered as a spherical image to enable pan, tilt, and zoom. In ROI mode, the area is displayed expanded by selecting an area. And, in Auto-rotation mode, it is possible to track the object by mapping the position of the object with the rotation angle of the spherical image to prevent the object from deviating from the spherical image in Tracking mode. Parallel programming for processing of multiple modes is performed to improve the processing speed. This has the advantage that various angles can be seen compared with surveillance system having a limited angle of view.

• Journal of IKEEE
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• 제23권3호
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• pp.785-792
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• 2019

In parallel operation of multiple power converter modules, equal power distribution among modules shall be made to improve the reliability of the system. In this paper, a novel droop method is proposed to present improved current distribution characteristics. In the proposed method, if the current in each module become greater than the current set-point value, the output voltage set-point is raised to improve the current distribution characteristics. Meanwhile, when the output voltage is to be managed within the tolerance range, the range of the usable control IC reference value ($v_{ref}$) will be reduced if the output voltage setting is always raised. Thus, in case the output voltage set-point among modules is reversed, the downward adjustment is introduced. The proposed method was experimentally validated with a 17.5V/500mA prototype of two boost converters operating in parallel.