• 전력전자학회논문지
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• 제6권5호
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• pp.400-409
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• 2001

대용량 승압형 응용을 위한 새로운 위상천이 병렬입력/직렬출력 듀얼 컨버터가 제안된 바 있다. 제안된 컨버터는 종래의 펄스 폭 변조(PWM) 방식의 병렬입력/직렬출력 듀얼 컨버터에 비해 낮은 스위치 전압 스트레스를 보여 저 손실의 소자를 사용할 수 있으므로 높은 효율을 보인다. 또한, 출력 캐패시터의 실효(RMS) 전류 스트레스가 낮고 입력 전류와 출력 전압의 맥동이 작으며, 제어 입력에 대한 출력 전압의 동역학(dynamics)이 빠른 장점이 있다. 본 논문에서는 제안된 컨버터의 정상상태 동작을 심도 있게 분석하고 그 수학적 모델 및 정상상태 해를 제시하며, 제안된 컨버터의 특징을 종래의 PWM 방식의 컨버터와의 비교를 통해 정량적으로 분석한다. 또한, 제안된 회로의 동작, 특성 및 유효성을 검증하기 위해 800W급 24-350Vdc 사양의 시작품으로부터의 실험 결과를 제시한다.

• 한국통신학회논문지
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• 제28권1C호
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• pp.14-23
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• 2003

본 논문에서는 2 Ms/s의 데이터 rate와 12-비트의 해상도를 갖는 Sigma-delta modulator의 구조를 제안한다. Sigma-delta modulator는 oversampling과 노이즈 shaping의 두 가지 특성으로 인해 낮은 해상도의 A/D 변환기와 결합하여 높은 해상도를 갖는 A/D 변환기의 구현이 가능하다는 장점으로 audio 응용 분야에 널리 사용되어 왔다. 그러나, Sigma-delta modulator를 무선 데이터 통신 등 다양한 응용 분야에서 사용하기 위해서는 좀더 높은 데이터 rate를 갖는 Sigma-delta modulator에 관한 연구가 필요하게 되었다. 본 논문에서 제안한 Sigma-delta modulator 구조는 기존의 64 내지 256의 oversampling비를 16으로 낮추어 sampling을 하여 기존의 수 십에서 수 백 Ks/s정도의 데이터 rate를 1 Ms/s 이상의 높은 데이터 rate에서 동작하도록 하였다. 그리고 두 개의 2차 Sigma-delta modulator를 Cascade 구조로 연결하고, 이득을 최적화하여 4차의 Sigma-delta modulator와 유사한 결과를 얻을 수 있었다. 내부에는 1-비트 A/D, D/A 변환기를 채용하여 부가적인 calibration 회로가 필요 없도록 하였다.

• 한국자동차공학회논문집
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• 제10권5호
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• pp.65-72
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• 2002

The closed cycle diesel system is operated in closed circuit system where there is non air breathing with working fluid consists of combination of oxygen, argon and recycled exhaust gas far obtaining underwater or underground power sources. Experimental apparatus using the MTU8V183SE92 high pressurized engine adapted for closed cycle running, capable of operating at the system pressure of maximum 5 bar is constructed with ACAP as data acquisition system in order to operate equally in the open cycle in surface or the closed cycle in submerged conditions. The general features and the characteristics of combustion of HP(high pressure) diesel engine, specially designed and manufactured only for CCDE, are investigated. The test results of performance of HP diesel engine in closed cycle system are presented with respect to power and boost pressure and compared with those of low pressure diesel engine. The oxygen concentration and specific heat ratio are investigated with its deviation

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.709-712
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• 2003

Recently, high noise problem was experienced during the development of 2-pole squirrel cage motor for industrial compressor. In order to firstly identify the noise characteristics, a variety of measurements were carried out. It was found out that high noise was dominated by linear and nonlinear slot noise components. For the development of low noise indusrial motor, the air gap between rotor and stator in the motor was firstly enlarged. Secondly, it was also modified for the cooling housing to have high absorption features. Consequencely, low noise 2-pole motor having the noise level of less 80㏈(A) was developed. In this paper, a series of noise identification and control process for this motor are introduced.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.627-628
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• 2006

A low-voltage switched-capacitor $2^{nd}$-order $\Sigma\Delta$ modulator using full feed-forward is introduced. It has two advantages: the unity signal transfer function and reduced signal swings inside the $\Sigma\Delta$ loop. These features greatly relax the DC gain and output swing requirements for Op-Amp in the low-voltage $\Sigma\Delta$ modulator. Implemented by a 0.18-${\mu}m$ CMOS technology, the $\Sigma\Delta$ modulator satisfies performance requirements for WCDMA and CDMA2000 standards.

• 한국환경과학회지
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• 제8권6호
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• pp.645-652
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• 1999

In order to simulate and investigate the major characteristics of El Nino/Southern Oscillation(ENSO) and Madden Jullian Oscillation(MJO), an intermediate type atmosphere-ocean coupled model is developed and their results are examined. The atmosphere model is a time-dependent non-linear perturbation moist model which can determine the internal heating for itself. The counterpart of the atmosphere model is GCM-type tropical ocean model which has fine horizontal and vertical grid resolutions. In the coupled experiment, warm SST anomaly and increased precipitation and eastward wind and current anomalies associated with ENSO and MJO are properly simulated in Pacific and Indian Oceans. In spite of some discrepancies in simulation MJO, the observed atmospheric and oceanic low-frequency characteristics in the tropics are successfully identified. Among them, positive SST anomalies centered at the 100m-depth of tropical eastern-central Pacific due to the eastward advection of warm water and reduced equatorial upwelling, and negative anomalies in the Indian and western Pacific seem to be the fundamental features of tropical low-frequency oscillations.

• 방송공학회논문지
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• 제21권1호
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• pp.51-59
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• 2016

본 논문에서는 다양한 조명하에서 얼굴 인식의 정확성을 향상시키기 위하여 DCT 기반의 조명 보상 기법을 제안하였다. 제안한 방법은 DCT 공간으로 변환된 입력영상에서 저주파 영역은 조명의 정보를 포함하는 것을 이용하여 저주파 성분의 DCT 계수를 목표로 하는 조명으로 변환함으로써 조명을 보상하는 방법이다. 이때, 견고한 얼굴 특징을 추출하기 위해서 고차 지역 패턴 서술자를 이용하여 방향성에 강인한 특징점을 추출하였다. 실영상을 이용한 실험에서 최대 95% 이상의 인식률로써 제안한 알고리즘의 성능을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.647-669
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• 2016

Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.

• 상하수도학회지
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• 제20권2호
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• pp.245-255
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• 2006

Dissolved air flotation is a solid-liquid separation system that uses fine bubbles rising from bottom to remove particles in water. In order to enhance the flotation velocity and removal efficiency of flocs in the flotation process, we tried to obtain pretreatment conditions for the optimum DAF process operation by comparing and evaluating features of actual floc formation and flotation velocity etc, according to coagulant types and conditions for flocculation mixing intensity by using PIA, PDA, and FSA. Accordingly, generating big flocs that have low density at low flocculation mixing intensity may reduce treatment efficiency. In addition, generating small flocs at high flocculation mixing intensity makes floc-bubbles smaller, which reduces flotation velocity, In this study, it was found that high flocculation mixing intensity could not remove the remaining micro-particles after flocculation, which had negative effects on treated water quality, Therefore, in order to enhance treatment efficiency in a flotation process, flocculation mixing intensity around $50sec^{-1}$ is effective.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4065-4083
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• 2021

Super-resolution can improve the clarity of low-resolution (LR) images, which can increase the accuracy of high-level compute vision tasks. Portable devices have low computing power and storage performance. Large-scale neural network super-resolution methods are not suitable for portable devices. In order to save the computational cost and the number of parameters, Lightweight image processing method can improve the processing speed of portable devices. Therefore, we propose the Enhanced Information Multiple Distillation Network (EIMDN) to adapt lower delay and cost. The EIMDN takes feedback mechanism as the framework and obtains low level features through high level features. Further, we replace the feature extraction convolution operation in Information Multiple Distillation Block (IMDB), with Ghost module, and propose the Enhanced Information Multiple Distillation Block (EIMDB) to reduce the amount of calculation and the number of parameters. Finally, coordinate attention (CA) is used at the end of IMDB and EIMDB to enhance the important information extraction from Spaces and channels. Experimental results show that our proposed can achieve convergence faster with fewer parameters and computation, compared with other lightweight super-resolution methods. Under the condition of higher peak signal-to-noise ratio (PSNR) and higher structural similarity (SSIM), the performance of network reconstruction image texture and target contour is significantly improved.