• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2016년도 추계학술대회
• /
• pp.66-69
• /
• 2016

본 논문에서는 차세대 4K/8K-UHD 위성 방송용 고화질 영상전송을 고려한 Ka-band 위성 통신 방송용 수신기 저 잡음 하향 변환기의 설계방안을 제시하였다. Ka-band은 Ku-band 보다 대기 중의 감쇄가 크기 때문에 강우에 따른 고화질 전송신호 품질에 대한 보상을 위하여 최저 수신감도의 레벨을 향상시키기 위하여 수신기의 동적영역(Dynamic Range)을 크게 확장하도록 저 잡음하향변환기를 설계 하였다. 수신단에서 비선형 특성을 고려하여 저 잡음정합을 3단 증폭기(LNA), 이미지 제거용 대역통과필터(BPF), 주파수 혼합기(Mixer), 주파수 체배기, IF단을 구성하였으며 수신단의 동적영역에 직접 영향을 미치는 파라미터들 사이에서 최적화 과정을 거쳐 LNB를 설계하였다. 설계된 감쇄-대역 저 잡음 하향변환기는 전체 이득이 58.5~60.7dB이며, 잡음지수는 1.38dB로 매우 우수한 특성을 보이며 국부발진기의 위상잡음은 -63.10dBc@100Hz 특성을 나타내었다.

• 방송공학회논문지
• /
• 제28권2호
• /
• pp.185-193
• /
• 2023

최근 인터넷을 통한 동영상 제공 서비스가 확대됨에 따라 높은 품질의 온라인 컨텐츠에 대한 수요가 급증하고 있다. 그런데 넓은 동적 범위 (dynamic range)를 표현할 수 있는 high dynamic range (HDR) 컨텐츠의 공급은 수요를 따라가지 못하고 있는 실정이다. 따라서 본 논문에서는 HDR 영상 제작의 한 방법으로서, 여러 노출값에서 촬영된 프레임들로 구성된 low dynamic range (LDR) 동영상을 이용해 HDR 영상을 생성하는 방법을 제안한다. 우선, 프레임들 사이에 움직임이 존재하기 때문에 정렬 과정을 통해 이웃 프레임들을 중심 프레임에 맞추어 정렬한다. 이때 내용 (content) 기반의 정렬을 하여 정확도를 높이고, 원래 크기의 입력을 그대로 이용하는 모듈을 함께 사용하여 세부 정보도 잘 살려준다. 그러고 나서 잘 정렬된 다중 프레임들을 합쳐서 하나의 HDR 프레임으로 만들어 준다. 실험을 통해 기존 방법들에 비해 우수한 성능을 보임을 확인하였다.

• 한국콘텐츠학회논문지
• /
• 제19권4호
• /
• pp.368-380
• /
• 2019

본 연구는 자동노출제어장치 사용 시 관전압과 감도 변화에 따른 dynamic step wedge와 히스토그램의 동적 범위 분석을 통해 검출기의 성능을 평가하는 방법을 제안하고자 하였다. 실험방법은 관전압 60, 70, 81, 90 kVp 별로 검출기 감도 S200, S400, S800, S1000에 해당하는 선질, 입사표면선량, 관전류량, 동적범위를 측정하여 검출기의 성능을 평가하고자 하였다. 그 결과 선질은 모두 합격 기준에 부합하였고, 입사표면선량과 관전류량은 감도가 높게 설정될수록 단계적으로 감소하였다. Dynamic step wedge는 관전압이 높아질수록 관찰 가능한 동적 범위도 함께 증가하였고, 또한 히스토그램은 관전압과 감도가 높게 설정될수록 양자화 이격 현상과 히스토그램 양단의 정보량이 상실되는 언더플로우와 오버플로우가 나타났다. 결론적으로 검출기가 성능 저하로 인하여 자동노출제어장치 사용 시 관전압과 감도 변화에 따른 동적 범위를 제대로 구현해내지 못한다는 것을 알 수 있었고, 검출기 성능평가 시 dynamic step wedge와 히스토그램을 통한 평가가 유용하다는 점을 알 수 있었다.

• 센서학회지
• /
• 제30권2호
• /
• pp.76-81
• /
• 2021

In this study, we propose a machine vision system with a high object recognition rate. By utilizing a multiple-exposure image sensing technique, the proposed deep learning-based machine vision system can cover a wide light intensity range without further learning processes on the various light intensity range. If the proposed machine vision system fails to recognize object features, the system operates in a multiple-exposure sensing mode and detects the target object that is blocked in the near dark or bright region. Furthermore, short- and long-exposure images from the multiple-exposure sensing mode are synthesized to obtain accurate object feature information. That results in the generation of a wide dynamic range of image information. Even with the object recognition resources for the deep learning process with a light intensity range of only 23 dB, the prototype machine vision system with the multiple-exposure imaging method demonstrated an object recognition performance with a light intensity range of up to 96 dB.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2003년도 추계학술대회 논문집(I)
• /
• pp.210-215
• /
• 2003

Korean High Speed Train (KHST) has been tested on high speed line in JungBu site since it was developed in 2002. The KHST figured 7 cars was modeled for dynamic simulation with Vampire program. and the data acquisition system was used to test successfully the on-line test for proving the dynamic performance of KHST. The comparison between test and simulation results for dynamic behavior of KHST was tried in this paper and it was very difficult because the environmental conditions and running conditions have an effect on the test results and these conditions are unable to be modeled for dynamic analysis. Also the parameters for data acquisition system for test are usually not same to simulation conditions. Therefor, in this paper the acceleration data after filtering with low pass filter below 1Hz were used to compare between test and simulation results because the low frequency range is useful to evaluate the dynamic performance for railway vehicle system, so as steady state curving acceleration. The results show that both are similar in low frequency range.

• 한국소성가공학회:학술대회논문집
• /
• 한국소성가공학회 2000년도 춘계학술대회논문집
• /
• pp.179-182
• /
• 2000

The dynamic softening behavior of type 430 ferritic stainless steel could be characterized by the hot torsion test in the temperature range of 900-110$0^{\circ}C$ and the strain rate range of 0.05-5/sec. It is found that the continuous dynamic recrystallization (CDRX) was a major dynamic softening mechanism. The effects of process variables strain ($\varepsilon$) stain rate($\varepsilon$)and temperature (T) on CDRX could be individually established from the analysis of flow stress curves and microstructure. The effect of CDRX individually established from the analysis of flow stress curves and microstructure. The effect of CDRX increased with increasing strain rate and decreasing temperature in continuous deformation. The multipass deformation processes were performed with 10 pass deformations. The CDRX effect occurred in multipass deformatioon. The grain refinement could be achieved from multipass deformation The grain refinement increased with increasing strain rate and decreasing temperature. Also the CDRX in multipass deformation was affected by interpass time and pass strain. The total strain was to be found key parameter to occur CDRX.

• International journal of advanced smart convergence
• /
• 제8권4호
• /
• pp.154-160
• /
• 2019

In this paper, we propose the miniaturization size of wearable Range of Motion(ROM) and a system that can be connected with smart devices in real-time to measure the joint movement range dynamically. Currently, the ROM of the joint is directly measured by a person using a goniometer. Conventional methods are different depending on the measurement method and location of the measurement person, which makes it difficult to measure consistently and may cause errors. Also, it is impossible to measure the ROM of joints in real-life situations. Therefore, the wearable sensor is attached to the joint to be measured to develop a miniaturize size ROM device that can measure the range of motion of the joint in real-time. The sensor measured the resistance value changed according to the movement of the joint using a load cell. Also, the sensed analog values were converted to digital values using an Analog to Digital Converter(ADC). The converted amount can be transmitted wireless to the smart device through the wearable sensor node. As a result, the developed device can be measured more consistently than the measurement using the goniometer, communication with IoT-based smart devices, and wearable enables dynamic observation. The developed wearable sensor node will be able to monitor the dynamic state of rehabilitation patients in real-time and improve the rapid change of treatment method and customized treatment.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
• /
• pp.294-297
• /
• 2005

Time series are comprehensively appeared and developed in many applications, ranging from science and technology to business and entertainrilent. Similarity search under time warping has attracted much interest between the time series in the large sequence databases. DTW (Dynamic Time Warping) is a robust distance measure and is superior to Euclidean distance for time series, allowing similarity matching although one of the sequences can elastic shift along the time axis. Nevertheless, it is more unfortunate that DTW has a quadratic time. Simultaneously the false dismissals are come forth since DTW distance does not satisfy the triangular inequality. In this paper, we propose an efficient range query algorithmbased on a new similarity search method under time warping. When our range query applies for this method, it can remove the significant non-qualify time series as early as possible before computing the accuracy DTW distance. Hence, it speeds up the calculation time and reduces the number of scanning the time series. Guaranteeing no false dismissals, the lower bounding function is advised that consistently underestimate the DTW distance and satisfy the triangular inequality. Through the experimental result, our range query algorithm outperforms the existing others.

• The Journal of Korean Physical Therapy
• /
• 제34권3호
• /
• pp.91-97
• /
• 2022

Purpose: This study investigated the short-term effectiveness of extracorporeal shock wave therapy (ESWT) on pain, the ankle instability, the ankle function, dorsiflexion range of motion (ROM), and dynamic balance in patients with chronic ankle instability (CAI). Methods: Eighteen participants were divided into an experimental (n=9) and control group (n=9). The ESWT in the experimental group was applied to the lateral collateral ligament in combination with the tibialis anterior whereas the ESWT was applied to the lateral collateral ligament of the ankle alone in the control group. Pain, the ankle instability, the ankle function, dorsiflexion ROM, and dynamic balance were measured using the Visual analog scale, Cumberland ankle instability tool, American Orthopedic Foot and Ankle Society ankle-hindfoot score, weight-bearing lunge, and Y-balance test, before and after ESWT intervention. Results: Significant interactions (group × time) and time effects were observed in the dorsiflexion ROM and dynamic balance. Bonferroni's post-hoc analysis showed that the experimental group revealed a more significant change in dorsiflexion ROM and dynamic balance than the control group. There was a significant time effect in the pain, the ankle instability, and the ankle function, but no significant interaction (group × time) was observed. Conclusion: The ESWT could improve the pain, ankle instability, ankle function, dorsiflexion ROM, and dynamic balance in patients with CAI. Furthermore, the ESWT combined with lateral ankle ligaments and tibialis anterior more improves the dorsiflexion ROM and dynamic balance.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2016년도 하계학술대회
• /
• pp.260-263
• /
• 2016

Recently high dynamic range imaging technique is hot issue in computer graphic area. We present a progressive tone mapping algorithm, which is based on weighted least squares optimization framework. Our approach combines weighted leastsquaresfiltering with iCAM06, for showing more perceptual high dynamic range images in conventional display, while avoiding visual halo artifacts. We decompose high dynamic range image into base layer and detail layer. The base layer has large scale variation, it is obtained by using weighted least squares filtering, and then the base layer incorporates iCAM06 model. Then, adaptive compression on the base layer according to human visual system. Only the base layer reduces contrast, and preserving detail. The resultshows more perceptual color appearance and preserve fine detail, while avoiding common artifacts.