• Title/Summary/Keyword: Process Performance Measurement

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Improvement of Reduction method for Ringing Artifacts in color moving-pictures using K-means algorithm (K-means 알고리즘을 사용한 칼라 동영상 링잉 노이즈 감쇄 방법의 개선)

  • Kim, Byung-Hyun;Jang, Jun-Young;Jang, Won-Woo;Choi, Hyun-Chul;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.3
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    • pp.576-582
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    • 2011
  • In this paper, we proposed the improved Advanced Detail Enhancement algorithm that improve the blurring by the lossy compression with CODEC and reduce the ringing artifacts in restoration. The conventional algorithm needs much amount of the process by the use of RGB color space. To improve this, we only used the luminance value in YCbCr color space. We verified that the performance of the improved algorithm with Y color value, the luminance value, is equal to the conventional algorithm with RGB color value and that the operation time of the improved is shorter about 24% than the conventional through the measurement of the operation time with Kodak standard images.

Commissioning Results of the Warm Compression System for the KSTAR Helium Refrigeration System (KSTAR 헬륨냉동기의 압축시스템 시운전 결과)

  • Park, Dong-Seong;Chang, Hyun-Sik;Joo, Jae-Joon;Moon, Kyung-Mo;Cho, Kwang-Woon;Kim, Yang-Soo;Bak, Ju-Shik;Kwon, Il-Keun;Cho, Myeon-Chul;Yang, Seung-Han
    • Proceedings of the SAREK Conference
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    • 2008.11a
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    • pp.125-130
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    • 2008
  • The main components of the KSTAR helium refrigeration system (HRS) can be classified into the warm compression system (WCS) and the cryogenic devices according to the operating temperature levels. The WCS itself consists of the compressor station (C/S) and the oil removal system (ORS). The process helium is compressed from 1 bar to 22 bar maximum in the C/S and downstream, the ORS removes the oil mixed in the helium to less than 10 ppbw as per the operation criteria of the cryogenic devices of the KSTAR HRS. After the installation, the pre-commissioning and commissioning activities were started on July, 2007. Before the start-up of the C/S, vibration measurement and the skid reinforcement jobs were performed for stable operation of the C/S. The results of the WCS performance tests met the requirements of the KSTAR HRS but satisfied the vibration level criteria only at the compressors' full load condition.

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Highly Linear Wideband LNA Design Using Inductive Shunt Feedback

  • Jeong, Nam Hwi;Cho, Choon Sik;Min, Seungwook
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.1
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    • pp.100-108
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    • 2014
  • Low noise amplifier (LNA) is an integral component of RF receiver and frequently required to operate at wide frequency bands for various wireless system applications. For wideband operation, important performance metrics such as voltage gain, return loss, noise figure and linearity have been carefully investigated and characterized for the proposed LNA. An inductive shunt feedback configuration is successfully employed in the input stage of the proposed LNA which incorporates cascaded networks with a peaking inductor in the buffer stage. Design equations for obtaining low and high impedance-matching frequencies are easily derived, leading to a relatively simple method for circuit implementation. Careful theoretical analysis explains that input impedance can be described in the form of second-order frequency response, where poles and zeros are characterized and utilized for realizing the wideband response. Linearity is significantly improved because the inductor located between the gate and the drain decreases the third-order harmonics at the output. Fabricated in $0.18{\mu}m$ CMOS process, the chip area of this wideband LNA is $0.202mm^2$, including pads. Measurement results illustrate that the input return loss shows less than -7 dB, voltage gain greater than 8 dB, and a little high noise figure around 6-8 dB over 1.5 - 13 GHz. In addition, good linearity (IIP3) of 2.5 dBm is achieved at 8 GHz and 14 mA of current is consumed from a 1.8 V supply.

Analysis of Low Frequency Noise Variation in Temperature Sensor With Bi2Mg2/3Nb4/3O7 (Bi2Mg2/3Nb4/3O7을 사용한 온도센서의 저주파 잡음 특성)

  • Cho, Il Hwan;Seo, Dongsun
    • Journal of IKEEE
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    • v.19 no.4
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    • pp.486-490
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    • 2015
  • Sensitivity characteristics of temperature sensor with $Bi_2Mg_{2/3}Nb_{4/3}O_7$ (BMNO) layer were investigated with low frequency noise measurement. Temperature sensor with BMNO layer had high reliability and high sensitivity comparing with conventional MOS type temperature sensor. Annealing temperature variation effects with $600^{\circ}C$, $700^{\circ}C$ and $800^{\circ}C$ were measured and analyzed. Annealing temperature determines trap distribution and $700^{\circ}C$ annealing sample has different pattern comparing with other samples. Results of low frequency noise can offer the design guide of temperature sensor performance.

An Analytical Study on System Identification of Steel Beam Structure for Buildings based on Modified Genetic Algorithm (변형 유전 알고리즘을 이용한 건물 철골 보 구조물의 시스템 식별에 관한 해석적 연구)

  • Oh, Byung-Kwan;Choi, Se-Woon;Kim, Yousok;Cho, Tong-Jun;Park, Hyo-Seon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.4
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    • pp.231-238
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    • 2014
  • In the buildings, the systems of structures are influenced by the gravity load changes due to room alteration or construction stage. This paper proposes a system identification method establishing mass as well as stiffness to parameters in model updating process considering mass change in the buildings. In this proposed method, modified genetic algorithm, which is optimization technique, is applied to search those parameters while minimizing the difference of dynamic characteristics between measurement and FE model. To search more global solution, the proposed modified genetic algorithm searches in the wider search space. It is verified that the proposed method identifies the system of structure appropriately through the analytical study on a steel beam structure in the building. The comparison for performance of modified genetic algorithm and existing simple genetic algorithm is carried out. Furthermore, the existing model updating method neglecting mass change is performed to compare with the proposed method.

The Development and Application Effect of Coding Game for the Childhood Cognitive Development (유아인지발달을 위한 코딩게임의 개발과 적용 효과)

  • HONG, Dae Sun;YU, Mi;LEE, Hyoung Gu
    • Journal of Korea Game Society
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    • v.18 no.5
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    • pp.103-112
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    • 2018
  • "Ito2", an early childhood educational coding game that allows students to learn sequential, loop, and conditional statement concepts through games is introduced. The developed game is a two-stage process of mock and practical classes for children in actual nursing cares, and coding education is conducted for actual children to determine its effectiveness. The degree of change is observed by observing trends in childhood cognitive development performance in all six areas, including parts and the overall, space, observation, shape and measurement, classification, comparison, and listing, as the coding training is conducted. In this paper, the improvement of cognitive development and spatial perceptual abilities were achieved by children playing games with infant functional coding with fun elements plus learning factors.

Navigation System for a Deep-sea ROV Fusing USBL, DVL, and Heading Measurements (USBL, DVL과 선수각 측정신호를 융합한 심해 무인잠수정의 항법시스템)

  • Lee, Pan-Mook;Shim, Hyungwon;Baek, Hyuk;Kim, Banghyun;Park, Jin-Yeong;Jun, Bong-Huan;Yoo, Seong-Yeol
    • Journal of Ocean Engineering and Technology
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    • v.31 no.4
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    • pp.315-323
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    • 2017
  • This paper presents an integrated navigation system that combines ultra-short baseline (USBL), Doppler velocity log (DVL), and heading measurements for a deep-sea remotely operated vehicle, Hemire. A navigation model is introduced based on the kinematic relation of the position and velocity. The system states are predicted using the navigation model and corrected with the USBL, DVL, and heading measurements using the Kalman filter. The performance of the navigation system was confirmed through re-navigation simulations with the measured data at the Southern Mariana Arc submarine volcanoes. Based on the characteristics of the measurements, the design process for the parameters of the system modeling error covariance, measurement error covariance, and initial error covariance are presented. This paper reviews the influence of the outliers and blackout of the USBL and DVL measurements, and proposes an outlier rejection algorithm that is robust to USBL blackout. The effectiveness of the method is demonstrated with re-navigation for the data that includes USBL blackouts.

Vision-based Target Tracking for UAV and Relative Depth Estimation using Optical Flow (무인 항공기의 영상기반 목표물 추적과 광류를 이용한 상대깊이 추정)

  • Jo, Seon-Yeong;Kim, Jong-Hun;Kim, Jung-Ho;Lee, Dae-Woo;Cho, Kyeum-Rae
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.3
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    • pp.267-274
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    • 2009
  • Recently, UAVs (Unmanned Aerial Vehicles) are expected much as the Unmanned Systems for various missions. These missions are often based on the Vision System. Especially, missions such as surveillance and pursuit have a process which is carried on through the transmitted vision data from the UAV. In case of small UAVs, monocular vision is often used to consider weights and expenses. Research of missions performance using the monocular vision is continued but, actually, ground and target model have difference in distance from the UAV. So, 3D distance measurement is still incorrect. In this study, Mean-Shift Algorithm, Optical Flow and Subspace Method are posed to estimate the relative depth. Mean-Shift Algorithm is used for target tracking and determining Region of Interest (ROI). Optical Flow includes image motion information using pixel intensity. After that, Subspace Method computes the translation and rotation of image and estimates the relative depth. Finally, we present the results of this study using images obtained from the UAV experiments.

Fusion of Evolutionary Neural Networks Speciated by Fitness Sharing (적합도 공유에 의해 종분화된 진화 신경망의 결합)

  • Ahn, Joon-Hyun;Cho, Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.29 no.1_2
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    • pp.1-9
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    • 2002
  • Evolutionary artificial neural networks (EANNs) are towards the near optimal ANN using the global search of evolutionary instead of trial-and-error process. However, many real-world problems are too hard to be solved by only one ANN. Recently there has been plenty of interest on combining ANNs in the last generation to improve the performance and reliability. This paper proposes a new approach of constructing multiple ANNs which complement each other by speciation. Also, we develop a multiple ANN to combine the results in abstract, rank, and measurement levels. The experimental results on Australian credit approval data from UCI benchmark data set have shown that combining of the speciated EANNs have better recognition ability than EANNs which are not speciated, and the average error rate of 0.105 proves the superiority of the proposed EANNs.

Dispersing Properties of Heavy Crude Oil according to Dispersant Structures (중유용 분산제 구조에 따른 중유 분산 특성)

  • Son, Jeong-Mae;Kim, Nam-Kyun;Shin, Jihoon;Yang, Youngdo;Kim, Young-Wun
    • Tribology and Lubricants
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    • v.31 no.6
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    • pp.251-257
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    • 2015
  • Heavy oil production is receiving significant attention because of increased demands for thermal power generation systems of the diesel engine and boilers. However, asphaltene, which is a heavy oil components (6-8 wt%), reduces the heat efficiency of the fuels owing to its agglomerated sludge of asphaltene during the burning process. Therefore, for hassle-free operation, we should develop asphaltene dispersants to suppress the formation of the sludge. We prepare variable salt-type polymeric dispersants using poly(isobutenyl succinic anhydride) and poly(amine) through both condensation esterification and acid-base neutralization reactions, which we subsequently evaluate for dispersing performance, using Turbiscan measurement. Total acid number (TAN) and total base number (TBN) of 75Lec-25SynDis.2 composed of lecithin and the prepared polymeric salt having the ratio of 3 : 1 are 18.9 and 33.7 mg KOH/g, respectively, which are comparable to those of the commercial dispersants (15.8 and 26.5 mg KOH/g). We determine the initial turbidity observed for 15 min of the polymeric dispersant was determined with transmittance (%), which can be calculated to separability number (SN). The SN value of 75Lec-25SynDis.2 is close to zero, which is superior to that of commercial dispersants and lecithin (0.015 and 0.017).