• 한국정밀공학회지
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• 제20권6호
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• pp.96-104
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• 2003

This paper presents the measurement and correction method of PCB alignment errors for PCB screen printer. Electronic equipment is getting smaller and yet must satisfy high performance standard. Therefore, there is a great demand for PCB with high density. However conventional PCB screen printer doesn't have enough accuracy to accommodate the demand for high-resolution circuit pattern and high-density mounting capacity of electronic chips. It is because the alignment errors of PCB occur when it is loaded to the screen printer. Therefore, this study focuses on the development of the system which is able to measure and correct alignment errors with high-accuracy. An automatic optical inspection part measures the PCB alignment errors using machine vision, and the high-accuracy 3-axis stage makes correction for these errors. This system used two CCD cameras to get images of two fiducial marks of PCB. The centers of fiducial marks are obtained by using moment, gradient method. The first method is calculating the centroid by using first moment of blob, and the latter method is calculating the center of the circle whose equation is obtained by curve-fitting the boundaries of fiducial mark. The operating system used to implement the whole set-up is carried in Window 98 (or NT) environment. Finally we implemented this system to PCB screen printer.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.75-81
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• 2023

Video platforms, including YouTube, have a structure in which the number of video views is directly related to the publisher's profits. Therefore, video publishers induce viewers by using provocative titles and thumbnails to garner more views. The conventional technique used to limit such harmful videos has low detection accuracy and relies on follow-up measures based on user reports. To address these problems, this study proposes a technique to improve the accuracy of filtering harmful media using thumbnails, titles, and audio data from videos. This study analyzed these three pieces of multimodal information; if the number of harmful determinations was greater than the set threshold, the video was deemed to be harmful, and its upload was restricted. The experimental results showed that the proposed multimodal information extraction technique used for harmfulvideo filtering achieved a 9% better performance than YouTube's Restricted Mode with regard to detection accuracy and a 41% better performance than the YouTube automation system.

• Journal of Information Processing Systems
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• 제13권2호
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• pp.400-416
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• 2017

Music emotion is an important component in the field of music information retrieval and computational musicology. This paper proposes an approach for automatic emotion classification, based on rough set (RS) theory. In the proposed approach, four different sets of music features are extracted, representing dynamics, rhythm, spectral, and harmony. From the features, five different statistical parameters are considered as attributes, including up to the $4^{th}$ order central moments of each feature, and covariance components of mutual ones. The large number of attributes is controlled by RS-based approach, in which superfluous features are removed, to obtain indispensable ones. In addition, RS-based approach makes it possible to visualize which attributes play a significant role in the generated rules, and also determine the strength of each rule for classification. The experiments have been performed to find out which audio features and which of the different statistical parameters derived from them are important for emotion classification. Also, the resulting indispensable attributes and the usefulness of covariance components have been discussed. The overall classification accuracy with all statistical parameters has recorded comparatively better than currently existing methods on a pair of datasets.

• 한국소음진동공학회논문집
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• 제18권4호
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• pp.448-457
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• 2008

A principal components analysis (PCA) of the median-plane head-related impulse responses (HRIRs) in the CIPIC HRTF database reveals that the individual HRIRs in the median plane can be adequately reconstructed by a linear combination of 12 orthonormal basis functions. These basis functions can be used to model arbitrary median-plane HRIRs, which are not included in the process to obtain the basis functions. Memory size can be reduced up to 5-fold depending on the number of HRIRs to be modeled. To clarify whether these basis functions can be used to model other set of arbitrary median plane HRIRs, a numerical error analysis for modeling and a series of subjective listening tests were carried out using the measured and modeled HRIRs. The results showed that the set of individual HRIRs in the median plane, which were measured in our lab using different measurement conditions, techniques, and source positions, can be modeled with reasonable accuracy. All subjects, involved in the subjective listening test, reported not only the accurate vertical perception but also the front-back discrimination with the modeled HRIRs based on 12 basis functions.

• 지구물리
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• 제9권3호
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• pp.181-188
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• 2006

The data, methodology, and the resulting accurate gravimetric geoid model for the Korean Peninsula (latitude from 32˚ N to 40˚ N and longitude from 124˚ E to 131˚ E) are presented in this study. The types of used data were a high degree geopotential model (the EGM96 spherical harmonic coefficient set), a set of 12,615 land gravity observations, 1,056,075 shipborne gravity observations, and KMS2002 gravity anomalies from satellite altimetry. The remove-restore technique was successfully applied to combining the above mentioned data sets using up to degree and order 112 of the EGM96 coefficient. The residual geoid was calculated with residual Free-Air anomaly values using the spherical Stokes' formula with a 37-km integration cap radius. The geoid model was referred to WGS84 geodetic system and was tested using a set of GPS/levelling geoid undulations. The absolute accuracy is 0.132 m and some improvement compared to the PNU95 geoid model was found.

• 방송공학회논문지
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• 제19권5호
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• pp.677-686
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• 2014

본 논문에서는 모바일폰 카메라를 이용하여 취득한 스테레오 영상으로부터 3차원 정보를 산출하고 이를 통해 3차원 정확도를 분석하고자 한다. 3차원 정확도 분석을 위해 스테레오 모델의 수렴각 변화에 따른 정확도 결과를 비교하였다. 본 논문에서는 내부 파라미터 산출과 영상의 왜곡보정 그리고 종속적 상대표정을 이용한 스테레오 영상의 기하구조 추정을 통해 모델 공간 상의 3차원 좌표를 계산하였으며, 이를 객체 공간 상의 좌표계로 변환함으로써 정량적인 3차원 정확도 분석을 수행하였다. 실험결과에서는 스테레오 모델의 수렴각이 약 $17^{\circ}$ 이상일 때, 상대적으로 높은 정확도를 갖는 3차원 정보가 생성됨을 확인하였다. 결과적으로 정확도 높은 3차원 정보 생성을 위해서는 촬영거리 및 기선거리를 고려하여 적절한 수렴각을 이루는 스테레오 모델 수립이 필요하다. 본 논문의 결과가 향후 모바일폰의 스테레오 영상을 이용한 입체영상 제작 및 3차원 객체 복원 등 관련 연구에 활용될 수 있을 것으로 기대된다.

• 인터넷정보학회논문지
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• 제14권5호
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• pp.49-57
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• 2013

본 연구에서는 효율적인 온 라인 문서 자동 분류를 위해 매우 중요한 분류 작업의 전처리 단계인 특징선택을 위한 새로운 방법이 제안된다. 대부분의 기존 특징선택 방법 연구에서는 특징 집합의 모집단이 단일 모집단으로써 한 모집단이 가지는 정보만으로 분류에 적합한 특징들을 선택하여 특징 집합을 구성하였다. 본 연구에서는 단일 모집단에 한하여 수행되는 특징선택 뿐 만 아니라, 다중 모집단을 가지는 혼합 특징 집합에 대해서 특징선택을 함으로써 다양한 정보를 바탕으로 한 특징 집합을 구성하였다. 혼합 특징 집합은 두 종류의 특징 집합으로 구성된다. 즉 각각 문서로부터 추출한 단어로 구성된 원본 특징 집합과 원본 특징 집합으로부터 LSA를 이용하여 새로 생성한 변형 특징 집합이다. 혼합 특징 집합으로부터 필터 방법과 래퍼 방법을 이용한 하이브리드 방식의 특징 선택을 통해 최적의 특징 집합을 찾고, 이를 이용하여 문서 분류 실험을 수행하였다. 다양한 모집단의 특징들의 정보를 모두 고려함으로써 보다 향상된 분류 성능을 보일 것이라고 기대하였고, 인터넷 뉴스 기사를 대상으로 분류 실험한 결과 90% 이상의 향상된 분류성능을 확인하였다. 특히, 재현율과 정밀도 모두 90%이상의 성능을 보였으며, 둘 사이의 편차가 낮은 것을 확인하였다.

• 건축역사연구
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• 제19권1호
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• pp.91-104
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• 2010

Korea's stone buildings are varied in their types such as stone pagodas, stone lanterns, stone bridges, stoneworks, etc. These account for more than 30% over the entire cultural properties, but research achievements are lacking compared to wooden buildings. Accordingly, this study aims to identify the shape, role and transition of Tapgu, which had been used to set up boundary at a stone pagoda, one of the stone buildings. The 20th stone pagodas, which have relative accuracy in its forming year, have been studied around national treasure or treasure between 7th century and 9th century. There are a lot of different opinions about the role and meaning of Tapgu, and at this writer's option, Tapgu is defined as follows: First, each structure plays a different role. A structure to pass the load in the upper part to the ground can be seen as a stair or a pedestal, but a structure to form double foundations can be considered as Tapgu. Second, Tapgu can be used to divide areas with stones or stepping stones. As a result, the shape, role and transition of Tapgu is as follows: Firstly, when it comes to its shape, Tapgu includes flagstone type, belt type, double foundation type, compound type. Flagstone type had been used to set up boundary at stone pagodas by using foundation stone, belt type by keeping apart from stone pagodas, and double foundation stone by installing dual foundation stones. Secondly, Tapgu is considered to set up boundary in the case of flagstone and plate stone, and acts like a structure which can prevent surrounding area of stone pagoda from coming up while being stuck around stone pagodas. Belt type was installed only for the purpose of forming boundary. At the bottom, double foundation stone had been used to pass the load in the upper part to the ground in the same way as the foundation stone in the upper part, and the boundaries were set varying the size. Thirdly, when it comes to the transition of Tapgu, flagstone type of boundary stone had been installed in the 7th century, and belt type of boundary stone had been mainly installed in the 8th century. And double foundation stone had been installed in the 9th century. Comprehensively, flagstone type and belt type had been made around the 7th and 8th century when Tapgu was regarded important and stone pagoda started to be built. At the turn to the 9th century, the role of Tapgu had been increasingly losing in the construction of stone pagoda, and foundation stone started to appear.

• 대한방사선치료학회지
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• 제25권2호
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• pp.167-173
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• 2013

목 적: CBCT와 EXACTRAC을 이용한 Spine 체부정위적방사선 치료 Set up 시 이미지 보정 값과 실제 오차의 차이를 측정하고, 이 오차 값이 미치는 선량분포를 계산하여 CBCT와 EXACTRAC의 유용성을 평가하고자 한다. 대상 및 방법: Set up 오차 보정 값과 실제 오차 비교 실험을 위해서 QA용 Cubic phantom (The EASY CUBEr, Euromechanics, Schwarzenbruck, Germany)을 이용하였고, phantom의 중심축을 인위적으로 LR 방향으로 -1 mm, -2 mm, -3 mm SI 방향으로 1 mm, 2 mm, 3 mm 그리고 AP방향으로 1 mm, 2 mm, 3 mm 이동시켰으며, 중심축을 $0.5^{\circ}$씩 좌우로 회전시켜 CBCT와 EXACTRAC의 Auto matching 보정 값과 비교 측정하였으며, 이동된 오차 값을 가정하여 Rando Phantom을 이용한 Spine SBRT 플랜에 적용하여 재계산을 시행하였다. 결 과: Set up 보정 값과 실제 오차 비교실험에서 3D CBCT의 평균값은 LR, SI, AP 방향으로 0.15 mm 회전방향으로 $0.04^{\circ}$였고 EXACTRAC의 평균값은 LR, SI, AP 방향으로 0.18 mm 회전방향으로 $0.07^{\circ}$였다. 이동 값 오차를 가정한 선량 재계산 결과, SI방향 2, 3 mm 이동 시 $V_{10}$ (종양의 용적에 10 Gy가 들어가는 선량) Volume이 각각 10.574%, 10.712%가 나타났고 LR방향 -3 mm 이동 시 12.076%로 가장 높게 나타났다. 결 론: CBCT와 EXACTRAC의 Set up 보정 값과 실제 오차는 1 mm, $0.1^{\circ}$ 미만으로 두 시스템 모두 매우 정밀한 set up 오차보정을 보였다. 그러나 선량 재계산 시 3 mm 이상의 오차가 발생한 경우, Spine SBRT 치료 시 Spinal cord에 들어가는 선량이 $V_{10}$에서 3% 이상 최대선량 13 Gy 이상 증가함으로서 치명적인 흡수선량 오류가 발생할 수 있음을 확인하였다. 따라서 본 저자는 1회에 한한 Spine SBRT 치료 시 정확도 측면에서 종양의 단면 정보를 위치적으로 제공하는 CBCT가 더 유용할 것으로 사료된다.

• Asian-Australasian Journal of Animal Sciences
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• 제32권9호
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• pp.1340-1348
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• 2019

Objective: The objectives were to compare variance components, genetic parameters, prediction accuracies, and genomic-polygenic estimated breeding value (EBV) rankings for milk yield (MY) and fat yield (FY) in the Thai multibreed dairy population using five single nucleotide polymorphism (SNP) sets from GeneSeek GGP80K chip. Methods: The dataset contained monthly MY and FY of 8,361 first-lactation cows from 810 farms. Variance components, genetic parameters, and EBV for five SNP sets from the GeneSeek GGP80K chip were obtained using a 2-trait single-step average-information restricted maximum likelihood procedure. The SNP sets were the complete SNP set (all available SNP; SNP100), top 75% set (SNP75), top 50% set (SNP50), top 25% set (SNP25), and top 5% set (SNP5). The 2-trait models included herd-year-season, heterozygosity and age at first calving as fixed effects, and animal additive genetic and residual as random effects. Results: The estimates of additive genetic variances for MY and FY from SNP subsets were mostly higher than those of the complete set. The SNP25 MY and FY heritability estimates (0.276 and 0.183) were higher than those from SNP75 (0.265 and 0.168), SNP50 (0.275 and 0.179), SNP5 (0.231 and 0.169), and SNP100 (0.251and 0.159). The SNP25 EBV accuracies for MY and FY (39.76% and 33.82%) were higher than for SNP75 (35.01% and 32.60%), SNP50 (39.64% and 33.38%), SNP5 (38.61% and 29.70%), and SNP100 (34.43% and 31.61%). All rank correlations between SNP100 and SNP subsets were above 0.98 for both traits, except for SNP100 and SNP5 (0.93 for MY; 0.92 for FY). Conclusion: The high SNP25 estimates of genetic variances, heritabilities, EBV accuracies, and rank correlations between SNP100 and SNP25 for MY and FY indicated that genotyping animals with SNP25 dedicated chip would be a suitable to maintain genotyping costs low while speeding up genetic progress for MY and FY in the Thai dairy population.