• Title/Summary/Keyword: ECe

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Physiological Activities of Hot Water Extracts from Ecklonia cava Kjellman (감태 열수 추출물의 생리활성)

  • Cho, Eun-Kyung;Choi, Young-Ju
    • Journal of Life Science
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    • v.20 no.11
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    • pp.1675-1682
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    • 2010
  • The biological activity of hot water extract from Ecklonia cava Kjellman (ECE) was investigated to assess antioxidative, anti-skin aging, and nitrite scavenging abilities, as well as alcohol metabolizing activities. Antioxidant activity of ECE was measured by using 2,2-diphenyl-1-picryl-hydrazyl (DPPH) radical scavenging activity and superoxide dismutase (SOD)-like activity. DPPH radical scavenging activity and SOD-like activity of ECE increased in a remarkably dose-dependent manner, and were about 91.4% and 75% at 1 mg/ml, respectively. The xanthine oxidase inhibitory activity was indicated to be about 70% at 1 mg/ml of ECE. Nitrite scavenging ability of ECE showed to be 93.6% at 1 mg/ml and pH 1.2. The influence of ECE on alcohol metabolism was demonstrated through the generating activity of reduced-nicotinamide adenine dinucleotide (NADH) by alcohol dehydrogenase (ADH) and acetaldehyde dehydrogenase (ALDH). The facilitating rate of ADH and ALDH activity by ECE was 167.2% and 334% at 10 mg/ml, respectively. In addition, tyrosinase and elastase inhibitory activities of ECE were 58% and 72% at 10 mg/ml, respectively. These results indicated that ECE has valuable biological attributes owing to its antioxidant, nitrite scavenging, alcohol metabolizing, and elastase and tyrosinase inhibitory activities.

An FPGA-based Parallel Hardware Architecture for Real-time Eye Detection

  • Kim, Dong-Kyun;Jung, Jun-Hee;Nguyen, Thuy Tuong;Kim, Dai-Jin;Kim, Mun-Sang;Kwon, Key-Ho;Jeon, Jae-Wook
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.12 no.2
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    • pp.150-161
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    • 2012
  • Eye detection is widely used in applications, such as face recognition, driver behavior analysis, and human-computer interaction. However, it is difficult to achieve real-time performance with software-based eye detection in an embedded environment. In this paper, we propose a parallel hardware architecture for real-time eye detection. We use the AdaBoost algorithm with modified census transform(MCT) to detect eyes on a face image. We parallelize part of the algorithm to speed up processing. Several downscaled pyramid images of the eye candidate region are generated in parallel using the input face image. We can detect the left and the right eye simultaneously using these downscaled images. The sequential data processing bottleneck caused by repetitive operation is removed by employing a pipelined parallel architecture. The proposed architecture is designed using Verilog HDL and implemented on a Virtex-5 FPGA for prototyping and evaluation. The proposed system can detect eyes within 0.15 ms in a VGA image.

Compact and Flexible Monopole Antenna for Ultra-Wideband Applications Deploying Fractal Geometry

  • Geetha, G;Palaniswamy, Sandeep Kumar;Alsath, M. Gulam Nabi;Kanagasabai, Malathi;Rao, T. Rama
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.400-405
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    • 2018
  • This paper presents a compact ultra-wideband (UWB) flexible monopole antenna design on a paper substrate. The proposed antenna is made of iterations of a circular slot inside an octagonal metallic patch. This fractal-based geometry has been deployed to achieve compactness along with improved bandwidth, measured reflection coefficient -10 dB bandwidth ranging from 2.7 to 15.8 GHz. The overall size of the antenna is $26mm{\times}19mm{\times}0.5mm$, which makes it a compact one. The substrate used is paper and the main features like environment friendly, flexibility, green electronics applications and low cost of fabrication are the key factors for the proposed antenna. The aforementioned UWB prototype is suitable for many wireless communication systems such as WiMAX, WiFi, RFID and WSN applications. Antenna has been tested for the effect of bending by placing it over a curved surface of a very small radius of 10 mm.

Actual Utilization and Recognition of Electronic Picture Books: Based on the Comparison between In-Home Childcare Providers and ECE Students (전자그림책의 활용실태와 인식: 아이돌보미와 유아교육과 학생의 비교를 중심으로)

  • Oh, Yeon Joo;Kim, Ae Kyung;Han, You Me
    • Journal of Information Technology Applications and Management
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    • v.28 no.4
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    • pp.1-11
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    • 2021
  • The purpose of this study is to provide the basic information related to electronic picture books and implications for the development of high-quality in-home child care service programs by examining the perceptions and actual conditions of electronic picture books. A survey was conducted with 216 in-home childcare workers from the one Healthy Family Support Center who participated in the workshop on electronic picture books and 161 students from the Department of Early Childhood Education at two Universities as a comparison group. The findings are as follows. First, there was no difference between the two groups in recognition of ICT competencies and satisfaction with electronic picture books. Second, both groups viewed electronic picture books are effective in preparing for the information age and very positive in providing electronic picture books. Third, the valuation of electronic picture books in both groups was higher than that of paper picture books. Fourth, there was no significant difference between the two groups in valuing e-picture books by ICT competence. The results of this study provide implications for the development of systematic educational programs to enhance the job performance of in-home child providers, which will be expanded in the future, by examining ICT competencies, e-picture book actual utilization, and recognition between the in-home childcare providers and ECE students.

Assembly Part Image-based 3D Shape Retrieval using Attentional View Pooling (Attentional View Pooling을 이용한 조립 부품 이미지 기반 3 차원 물체 검색)

  • Lee, Eun Ji;Kang, Isaac;Kim, Min Woo;Park, Seon Ji;Cho, Nam Ik
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.72-75
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    • 2020
  • 조립 부품 이미지에 해당하는 3D CAD 모델 매칭 기술은 최근 로봇 조립 기술의 발전으로 필요성이 대두되고 있다. 이미지 기반 3 차원 모델 매칭 연구는 진행되어 왔지만 가구 부품 이미지와는 특성이 다른 RGB[5] 이미지나 스케치 이미지를 다루는[1] 접근들이었다. 딥러닝을 사용하는 스케치 이미지 기반 3 차원 물제 검색 연구에서는 대부분 3 차원 이미지를 다각도에서 렌더링한 view 이미지들에서 feature를 추출하고 pooling 하여 하나의 feature를 출력한다. 그러나 기존의 view pooling 방식은 단순한 평균 방식으로, 부품 이미지에 따른 view를 반영하기에는 한계가 있었다. 따라서 본 논문에서는 조립 부품 이미지 기반 3 차원 물체 검색을 위해 query 부품 이미지에 따라 다른 view 이미지에 집중할 수 있는 방식의 attentional view pooling을 제안한다. 또한 조립 부품 데이터의 특성 상 class 당 CAD 모델이 하나인 상황이므로 학습 데이터가 터무니없이 부족하여 이를 해결하기 위한 학습 데이터 증강 방법을 제안한다. 실험은 의자 부품 11가지에 대해 진행하였고 이를 통해 제안하는 방식의 성능을 입증하였다.

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Step detection using accelerometer sensor on mobile phone

  • Thang, Hoang Minh;Viet, Vo Quang;Choi, Deok-Jai
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.83-85
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    • 2012
  • Gait analysis through wearable sensors is becoming a key research topic in mobile. In gait analysis, step detection is one of the most important processes that will lay down the foundation for future implementation. In this paper, we will propose a simpler algorithm to determine and analyze the steps using accelerometer sensor built-in mobile phone that physically placed into the trouser pocket. This is the location where most of mobile devices are. With 5 volunteers walking in 160 seconds, the accuracy of this method is approximately 98.5%.

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Blocking Artifacts Reduction with Constrained Random Modification of Block Boundary Pixels

  • Lee, Insuh;Yongsul Joe;Byeungwoo Jeon
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.35-38
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    • 2000
  • Low bit rate image/video coding is essential for many visual communication applications. When bit rates become low, most compression algorithms yield visually blocking artifacts that highly degrade the perceptual quality, and post-processing approaches provide one attractive solution. In this paper, we provide simple and very efficient blocking artifacts reduction method using constrained random value addition. Our method is simple enough to be used for real-time post-processing of video.

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Thermal Aware Buffer Insertion in the Early Stage of Physical Designs

  • Kim, Jaehwan;Ahn, Byung-Gyu;Kim, Minbeom;Chong, Jongwha
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.12 no.4
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    • pp.397-404
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    • 2012
  • Thermal generation by power dissipation of the highly integrated System on Chip (SoC) device is irregularly distributed on the intra chip. It leads to thermal increment of the each thermally different region and effects on the propagation timing; consequently, the timing violation occurs due to the misestimated number of buffers. In this paper, the timing budgeting methodology considering thermal variation which contains buffer insertion with wire segmentation is proposed. Thermal aware LUT modeling for cell intrinsic delay is also proposed. Simulation results show the reduction of the worst delay after implementing thermal aware buffer insertion using by proposed wire segmentation up to 33% in contrast to the original buffer insertion. The error rates are measured by SPICE simulation results.

Text Detection based on Edge Enhanced Contrast Extremal Region and Tensor Voting in Natural Scene Images

  • Pham, Van Khien;Kim, Soo-Hyung;Yang, Hyung-Jeong;Lee, Guee-Sang
    • Smart Media Journal
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    • v.6 no.4
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    • pp.32-40
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    • 2017
  • In this paper, a robust text detection method based on edge enhanced contrasting extremal region (CER) is proposed using stroke width transform (SWT) and tensor voting. First, the edge enhanced CER extracts a number of covariant regions, which is a stable connected component from input images. Next, SWT is created by the distance map, which is used to eliminate non-text regions. Then, these candidate text regions are verified based on tensor voting, which uses the input center point in the previous step to compute curve salience values. Finally, the connected component grouping is applied to a cluster closed to characters. The proposed method is evaluated with the ICDAR2003 and ICDAR2013 text detection competition datasets and the experiment results show high accuracy compared to previous methods.

Estimation of the Motor Vehicle Noise Emission based on Amendments of European Regulation R51 (ECE R51 자동차주행소음 규정의 개정에 따른 자동차 소음 평가)

  • Park, Jin-Woo;Cho, Sang-Soo;Shin, Jae-Seung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.783-787
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    • 2007
  • Nowadays, vehicle becoming necessity is increasing gradually and is main cause of environmental problem. The current automobile noise measurement test method such as ISO 362 which have been used many countries contribute seriously to enforce the regulation of the noise rigidly and actively study vehicle's noise, using that method. However, the amendment of ISO 362 was completed under the international agreement due to the changes in vehicle's techniques and road conditions. In this study, the difference between the current ISO 362(or ECE R51) and new ISO 362(or new ECE R51) is estimated by the test using the practical car producing domestically because the Korean manufacturer have to be interested in new test method.

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