• Imaging Science in Dentistry
• /
• 제32권2호
• /
• pp.99-105
• /
• 2002

Purpose: To evaluate the diagnostic accuracy of transcranial radiographs and magnetic resonance imaging (MRI) of the temporomandibular joint (TMJ) in the assessment of osseous changes of the condylar head and articular eminence. Materials and Methods: Osseous changes of the TMJ were evaluated in forty-three patients. Osseous changes of the condylar head and articular eminence were observed in 41 joints and 64 joints, respectively on transcranial radiographs, and 48 joints and 59 joints, respectively on MRI. Results: The flattening, sclerosis, erosion, and osteophyte formation of the condylar heads were observed in 36.6%, 43.9%, 12.2%, and 7.3%, respectively on transcranial radiographs compared with 35.4%, 20.8%, 37.5%, and 6.3%, respectively on MRI. While, the flattening, sclerosis, and erosion of the articular eminences were observed in 26.6%, 67.2%, and 6.2%, respectively on transcranial radiographs compared with 32.2%, 59.3%, and 8.5%, respectively on MRI. Conclusion: There were no statistical differences between transcranial radiographs and MRI scans in the detection of osseous changes of the TMJ. However, MRI scans were superior to the transcranial radiographs in the detection of erosion of the condylar head (p<0.01).

• Journal of Acupuncture Research
• /
• 제32권2호
• /
• pp.1-9
• /
• 2015

Objectives : The present study was an evaluation and standardization of herbal components in order to establish the efficacy and safety of Shinbaro pharmacopuncture. Methods : Among the raw materials of Shinbaro pharmacopuncture, the components Cibotii Rhizoma, Eucommiae Cortex, and Ledebouriellae Radix were assessed through ingredient verification experiments using thin-layer chromatography(TLC) and ultraviolet rays(UV) lamps. In addition, we standardized Acanthopanacis Cortex and Achyranthis Radix through validation using high performance liquid chromatograph-diode array detector(HPLC-DAD). Results : As result appeared a blue-white fluorescence under ultraviolet rays; changed to dark green after adding 1 % ferric chloride solution(due to Cibotii Rhizoma), and presented a yellow-green fluorescence when mixed with an ethyl ether under UV lamps by way of the ethyl ether layer, confirming Eucommiae Cortex. Ledebouriellae Radix was confirmed as dark brown spots at Rf values of 0.56 and 0.71 using TLC. Additionally, Acanthopanacis Cortex and Achyranthis Radix HPLC test results showed that linearity was $R^2{\geq}0.99$, and detection limit and quantitation limit were 0.23 to $1.29{\mu}g/mL$, and 0.71 to $3.90{\mu}g/mL$, respectively. Furthermore, precision and accuracy were confirmed to have relative standard deviation(RSD) values of 0.10 to 1.89 % and 96.19 to 103.72 %, respectively. Shinbaro pharmacopuncture did not have any overlapping or interference from other peaks in detection under the abovementioned analysis conditions. Conclusions : In conclusion, we confirmed that maintenance of Shinbaro pharmacopuncture validity was possible by means of quality control of Cibotii Rhizoma, Eucommiae Cortex, and Ledebouriellae Radix through ingredient identification and Acanthopanacis Cortex and Achyranthis Radix through high performance liquid chromatograph(HPLC) analysis. Further, we hope to contribute to the development strategy of herbal industry acupuncture.

• 한국음향학회지
• /
• 제42권5호
• /
• pp.460-468
• /
• 2023

고관절 이형성증(Developmental Dysplasia of Hip, DDH)은 영유아 성장기에 흔히 발생하는 병리학적 상태로, 영유아의 성장을 방해하고 잠재적인 합병증을 유발하는 원인 중 하나이며 이를 조기에 발견하고 치료하는 것은 매우 중요하다. 기존의 DDH 진단 방법으로는 촉진법과 X-ray 또는 초음파 영상 기반 고관절에서의 특징점 검출을 이용한 진단 방법이 있지만 특징점 검출 시 객관성과 생산성에 제한점이 존재한다. 본 연구에서는 X-ray 및 초음파 영상을 이용한 딥러닝 모델 기반 특징점 검출 방법을 제시하고, 다양한 딥러닝 모델을 이용하여 특징점 검출의 성능을 비교 분석하였다. 또한, 부족한 의료 데이터를 보완하는 방법인 다양한 데이터 증강 기법을 제시하고 비교 평가하였다. 본 연구에서는 Residual Network 152(ResNet152) 및 Simple & Complex augmentation 기법을 적용하였을 때 가장 높은 특징점 검출 성능을 보여주었으며, X-ray 영상에서 평균 Object Keypoint Similarity(OKS)가 약 95.33 %, 초음파 영상에서는 약 81.21 %로 각각 측정되었다. 이러한 결과는 고관절 초음파 및 X-ray 영상에서 딥러닝 모델을 적용함으로써 DDH 진단 시 특징점 검출에 관한 객관성과 생산성을 향상시킬 수 있음을 보여준다.

• 한국컴퓨터산업학회논문지
• /
• 제8권1호
• /
• pp.57-64
• /
• 2007

본 논문은 공간적으로 변화하지 않는 신호장 $S_\jmath(t)$의 합과 부가적이고 동차이고 공간적으로 등방성(x축 평면배열)이고, 분리할 수 있는 Covariance이며, Zero-mean Gaussion random 잡음장 n(t, x)를 처리하기 위해 n개의 동일 검파로 구성되는 검파 시스템을 고찰할 수 있도록 최적산란 대기공간 광통신용 배열 수신기와 공분산회로를 구성하여 최대 이득의 직접 광검파를 통계적으로 해석한 이론값과 실험을 통해 얻은 측정값과 비교 해석한다. 또한 측정값이 joint Gaussian 이론곡선과 일치함을 확인한다.

• 한국복합재료학회:학술대회논문집
• /
• 한국복합재료학회 2002년도 춘계학술발표대회 논문집
• /
• pp.35-38
• /
• 2002

Real defects in composite structures were detected by using laser measuring system. Four types of specimens, that is, a composite laminate, a honeycomb structure, a free-edge delamination and an adhesive joint, were used to study the applicability of ESPI and Shearography to composite structures. Thermal loading method, which can easily induce the surface deformation of specimen, was used to detect defects. Experimental results show that defects in composite structures can be easily detected by ESPI and Shearography. Moreover, it shows that ESPI and Shearography can be usefully applied to the detection of defects in various kinds of composite structures.

• 대한임베디드공학회논문지
• /
• 제5권3호
• /
• pp.152-156
• /
• 2010

Non-line-of-sight (NLOS) propagation is one of the challenges in radio positioning. Distinguishing the transmission status of the communication as line-of-sight (LOS) or NLOS is of great importance for the wireless communication systems. This paper focuses on the identification of NLOS based on time-of-arrival (TOA) distance estimates and the received signal strength (RSS) measurements. We set a path loss threshold based on the joint TOA and RSS based NLOS detection method to determine LOS or NLOS. Simulation results show that the proposed method ensures the correct of detection for the LOS condition and can improve the NLOS identification for the weak noise and long distance.

• Journal of Welding and Joining
• /
• 제14권4호
• /
• pp.79-88
• /
• 1996

For improvement in productivity and weld quality, weld seam tracking and welding parameter control are very essential in the welding of a structure which can not be cxactly fit-up due to mismatch, discontinous gap, deflection, etc.. In this study, an automatic weld seam tracking system is developed for I-butt joint structure, and the system consists of XYZ working table, vision sensor and user interface program. In the developed vision sensor system, an image projection algorithm for weld-line detection and an adaptive current control algorithm for gap variation were implemented. The user interface program developed in this study by basing on the objct oriented concept could provide very convenient way to utilize the tracking system with the pull-down menu driven structure. The developed system showed a good seam tracking and weld quality control capability corresponding to deflected weld lines and gap variations.

• Journal of Information Processing Systems
• /
• 제13권4호
• /
• pp.1029-1042
• /
• 2017

A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2020년도 하계학술대회
• /
• pp.593-595
• /
• 2020

본 논문에서는 5G NR 시스템을 위한 동기 신호를 이용한 cell ID 검출 방법에 대한 성능을 비교하였다. 5G NR(fifth-generation new radio) 시스템의 송신기는 SS/PBCH (synchronization signal/physical broadcast channel) 블록을 송신하며, 수신기는 수신된 SS/PBCH 블록을 이용하여 주파수 및 타이밍 오프셋 (frequency and timing offset)을 추정 할 수 있으며, cell ID (cell identity)는 PSS (primary synchronization signal)와 SSS (secondary synchronization signal)를 통해 검출할 수 있다. 본 논문에서는 cell ID 를 검출할 수 있는 방법으로서 2-stage 디코딩 방법과 결합 최대우도 결정 규칙 (joint maximum-likelihood decision rule: joint ML) 디코딩 방법을 사용하였다. Joint ML 디코딩 방법은 2-stage 디코딩 방법에 비해 더 좋은 검출 성능을 보이지만, 복잡도 측면에서는 2-stage 디코딩 방법이 joint ML 디코딩 방법에 비해 더 낮은 복잡도를 갖는 것을 확인하였다.

• 대한전자공학회논문지TC
• /
• 제38권3호
• /
• pp.9-18
• /
• 2001

본 논문에서는 페이딩 채널 환경에서 OFDM 시스템의 채널추정과 심볼 검출이 결합된 방식들을 제안하였다. 제안된 방식들은 결정지향 채널 추정(DDCE) 방식에 근거하여 채널을 추정하며 비터비 알고리즘을 이용한 심볼 검출을 수행한다. 제안된 비터비 결정지향 추정 (VDDCE)방식은 시간상 변화하는 채널을 추척하고 ML 심볼 열을 검출 한다. VDDCE방식에 근거한 순환적 비터비 결정지향(RVDDCE) 방식에서는 복잡도를 줄이기 위해 검출될 심볼 열의 길이를 줄인다. 즉, 훈련 심볼의 간격동안에 채널 추정과 비터비 알고리즘이 일정 간격으로 반복적으로 수행되도록 한다. 또한，AWGN의 효과를 줄이기 위해 평균화 채널 추정(ACE) 방식을 VDDCE와 RVDDCE 방식에 적용하였다. 제안된 방식들은 컴퓨터 시뮬레이션으로 검증하였다.