• Title/Summary/Keyword: A-Ci 곡선

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Segmentation of Arcs and Line Segments in Planar Curve Using CI Method (CI 방법을 이용한 2차원 곡선 내의 호 및 선분 분리)

  • Lyu, Sung-Pil
    • Journal of Internet Computing and Services
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    • v.9 no.1
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    • pp.145-158
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    • 2008
  • The detected arcs by the cone intersection(CI) method exist within a tolerant error from the original curve. But the position of breakpoint by the CI method is sensitive to the tolerant error. The deviation of breakpoint position makes ill effects to the detection of arc center or radius. In this paper a improved CI method for center detection and arc segmentation is proposed. The detected arcs from curves by the proposed method have very stable mean of deviations from the original curves. The experimental results show that the position of breakpoint by the proposed method is closer to real position than the one by other methods.

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Development an Artificial Neural Network to Predict Infectious Bronchitis Virus Infection in Laying Hen Flocks (산란계의 전염성 기관지염을 예측하기 위한 인공신경망 모형의 개발)

  • Pak Son-Il;Kwon Hyuk-Moo
    • Journal of Veterinary Clinics
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    • v.23 no.2
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    • pp.105-110
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    • 2006
  • A three-layer, feed-forward artificial neural network (ANN) with sixteen input neurons, three hidden neurons, and one output neuron was developed to identify the presence of infectious bronchitis (IB) infection as early as possible in laying hen flocks. Retrospective data from flocks that enrolled IB surveillance program between May 2003 and November 2005 were used to build the ANN. Data set of 86 flocks was divided randomly into two sets: 77 cases for training set and 9 cases for testing set. Input factors were 16 epidemiological findings including characteristics of the layer house, management practice, flock size, and the output was either presence or absence of IB. ANN was trained using training set with a back-propagation algorithm and test set was used to determine the network's capability to predict outcomes that it has never seen. Diagnostic performance of the trained network was evaluated by constructing receiver operating characteristic (ROC) curve with the area under the curve (AUC), which were also used to determine the best positivity criterion for the model. Several different ANNs with different structures were created. The best-fitted trained network, IBV_D1, was able to predict IB in 73 cases out of 77 (diagnostic accuracy 94.8%) in the training set. Sensitivity and specificity of the trained neural network was 95.5% (42/44, 95% CI, 84.5-99.4) and 93.9% (31/33, 95% CI, 79.8-99.3), respectively. For testing set, AVC of the ROC curve for the IBV_D1 network was 0.948 (SE=0.086, 95% CI 0.592-0.961) in recognizing IB infection status accurately. At a criterion of 0.7149, the diagnostic accuracy was the highest with a 88.9% with the highest sensitivity of 100%. With this value of sensitivity and specificity together with assumed 44% of IB prevalence, IBV_D1 network showed a PPV of 80% and an NPV of 100%. Based on these findings, the authors conclude that neural network can be successfully applied to the development of a screening model for identifying IB infection in laying hen flocks.

Multilevel Editing for Hierarchical B-spline Curves using Rotation Minimizing Frames (RMF을 이용한 계층적 B-spline 곡선의 다단계 편집기법)

  • Zhang, Ci;Yoon, Seung-Hyun;Lee, Ji-Eun
    • Journal of the Korea Computer Graphics Society
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    • v.16 no.4
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    • pp.41-50
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    • 2010
  • We present a new technique for multilevel editing of hierarchical B-spline curves. At each level, control points of a displacement function are expressed in the rotation minimizing frames (RMFs) [1] which are computed on nodal points of the curve at previous level. When the curve is edited at previous level, the corresponding RMFs are updated and the control points of the displacement function at current level are applied to the new RMFs, which maintains the relative details of the curve at current level to those of previous level. We demonstrate the effectiveness and robustness of the proposed technique using several experimental results.

Association between Hypertriglyceridemic-Waist Phenotype and Metabolic Abnormalities in Hypertensive Adults (고혈압자의 고중성지방혈증-허리 표현형과 대사이상 사이의 연관성)

  • Kyung-A SHIN;Myung Shin KANG
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.2
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    • pp.113-120
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    • 2023
  • The hypertriglyceridemic-waist (HTGW) phenotype can predict the risk of coronary artery disease. This study evaluated the relationship between the HTGW phenotype and metabolic abnormalities in hypertensive adults. The test was conducted on adult hypertension patients aged 20 or older who underwent health checkups from January 2018 to December 2021 at general hospitals in Gyeonggi Province. The HTGW phenotype was triglyceride ≥150 mg/dL and waist circumference ≥90 cm for men and ≥85 cm for women. The prevalence of the HTGW phenotype in the study subjects was 17.9%. After adjusting for age, gender, and BMI, the odds ratio of the HTGW group was 5.09 (95% confidence interval [CI]: 3.545~7.309) for low HDL-cholesterol, 1.68 (95% CI: 1.176~2.411) for high LDL-cholesterol, was 2.92 (95% CI: 2.009~4.235) for high total cholesterol, 3.39 (95% CI: 2.124~5.412) for diabetes and 1.85 (95% CI: 1.286~2.674) for hyperuricemia compared to the normal triglyceride levels with the normal waist (NTNW) group. The area under curve values of the HTGW phenotype for diagnosing metabolic syndrome were 0.849 for all subjects, 0.858 for men, and 0.890 for women. In conclusion, the HTGW phenotype is closely related to metabolic abnormalities and is a useful indicator for monitoring adult hypertensive patients with metabolic syndrome.

UV LINE EMISSIONS OF 44i BOOTIS (44i BOO의 자외선 방출연구)

  • 한동주;김용기;한원용;이우백
    • Journal of Astronomy and Space Sciences
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    • v.15 no.2
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    • pp.335-340
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    • 1998
  • We obtained UV light curves of 44i Bootis, a W UMa type star from the IUE low dispersion spectra. In order to investigate variations of the emission lines from chromospheric activity and transition region, UV line intensity has been measured for CI, CII, ClV, SiIV, HeII lines. Through plotting the line intensity with the orbital phase, we found that emission lines showed maximum at $0^p.2;and;0^p.8$ of the light curves, indicating the chromospheric activity of contact binary, 44i Bootis. We found that the light curves of UV emission lines is strongly modulated by the variation of chromospheric activities of 44i Bootis.

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Comparison of the Usefulness of Lipid Ratio Indicators for Prediction of Metabolic Syndrome in the Elderly Aged 65 Years or Older (65세 이상 고령자에서 대사증후군 예측을 위한 지질비율 지표의 유용성 비교)

  • Shin, Kyung-A;Kim, Eun Jae
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.399-408
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    • 2022
  • The purpose of this study was to compare the usefulness of the lipid ratio indicators for the diagnosis of metabolic syndrome in the elderly aged 65 years or older. From January 2018 to December 2020, 1,464 people aged 65 years or older who underwent a health checkup at a general hospital in Seoul were included. Lipid ratio indicators were measured through blood tests. The prevalence of metabolic syndrome according to the quartiles of the lipid ratio index was confirmed by logistic regression analysis. In addition, the metabolic syndrome predictive ability and cutoff value of the lipid ratio indices were estimated with the receiver operating characteristic(ROC) curve. The correlation between atherogenic index of plasma(AIP) and waist circumference was the highest in both men and women(r=0.278, p<0.001 vs r=0.252, p<0.001). As for the lipid ratio indices, the incidence of metabolic syndrome was higher in the fourth quartile than in the first quartile. The area under the ROC curve(AUC) value of AIP was higher at 0.826(95% CI=0.799-0.850) and 0.852(95% CI=0.820-0.881) for men and women, respectively, compared to other lipid ratio indicators, and the optimal cutoff values for both men and women was 0.44(p<0.001). Therefore, the AIP among the lipid ratio indicators was found to be the most useful index for diagnosing metabolic syndrome in the elderly aged 65 years or older.

Photosynthetic Responses of four Oak Species to Changes in Light Environment (광환경 변화에 대한 네 참나무 수종의 광합성 반응)

  • Kim, Sun-Hee;Saung, Ju-Han;Kim, Young-Kul;Kim, Pan-Gi
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.10 no.4
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    • pp.141-148
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    • 2008
  • This study was conducted to investigate the photosynthetic responses of four Oak species (Quercus mongolica, Q. serrata, Q. acutissima and Q. variabilis) by shading treatment. We investigated light response curve, photosynthesis (A)-intercellular $CO_2$ concentration (Ci) curve, leaf growth and chlorophyll content at the level of 35, 55 and 75% shading treatments and under the full sunlight. In our results, Q. variabilis and Q. acutissima showed increased leaf growth, chlorophyll content and net apparent quantum yield but reduced chlorophyll a/b and carboxylation efficiency under the low light intensity. Therefore, light absorption and light utilization efficiency were improved under the low light intensity. Q. mongolica showed the similar responses that Q. variabilis and Q. acutissima showed, but net apparent quantum yield was reduced. The effects of shading treatment on Q. serrata were lower than those of other three species.

Correlation between Carotid Intima-media Thickness and Risk Factors for Atherosclerosis (경동맥 내중막 두께에 따른 죽상경화반의 위험요인과의 상관관계)

  • An, Hyun;Lee, Hyo Yeong
    • Journal of the Korean Society of Radiology
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    • v.13 no.3
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    • pp.339-348
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    • 2019
  • The purpose of this study was to investigate the effect of carotid artery ultrasound Respectively. The carotid intima-media thickness is known to have a significant correlation with cardiovascular disease and cerebrovascular disease. We investigated the relationship between carotid intima - media thickness, body mass index, waist circumference, the blood lipid value, fasting blood glucose, glycated hemoglobin, and blood pressure using carotid artery ultrasound. The carotid artery ultrasound was considered to be abnormality of IMT thickness over 0.8 mm and the presence or absence of atherosclerotic plaque was evaluated. Serological tests were used to compare the geologic value, fasting blood glucose level, and glycated hemoglobin. As a result, waist circumference (=.022), low density cholesterol (=.004), fasting blood glucose level (.019), and glycemic index (.002) were analyzed as predictors of atherosclerosis. In the ROC curve analysis, sensitivity was 87.80% (95% CI: 73.8-95.9), specificity was 41.67% (95% CI: 30.2-53.9), sensitivity was 78.05% (95% CI: 62.4-89.4) in low density lipoprotein, Specificity was 50.00% (95% CI: 38.0-62.0), sensitivity was 73.11% (95% CI: 57.1-85.8), specificity was 61.11 (95% CI: 48.9-72.4) and sensitivity was 82.93%-91.8) and a specificity of 43.06% (31.4-55.3). In logistic regression analysis, the risk of atherosclerosis was 0.248 times at waist circumference (WC)> 76 cm, 3.475 times at low-density lipoprotein (LDL-C) ${\geq}124mg/dL$, 0.618 at HbA1c> 5.4% It appeared as a times. We suggest that prospective study of carotid artery ultrasound should be performed for the effective prevention of cardiovascular diseases.

Comparison of the Predictive Validity of the Pressure Injury Risk Assessment in Pediatric Patients: Braden, Braden Q and Braden QD Scale (소아 환자에서 욕창 위험도 사정 도구의 예측타당도 비교: Braden, Braden Q 및 Braden QD 도구)

  • Kang, Ji Hyeon;Lim, Eun Young;Lee, Nam Ju;Yu, Hye Min
    • Journal of Korean Clinical Nursing Research
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    • v.30 no.1
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    • pp.35-44
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    • 2024
  • Purpose: The purpose of this study is to compare the predictive validity of pressure injury risk assessment, Braden, Braden Q and Braden QD for pediatric patients. Methods: Prospective observational study included patients under the age of 19 who were hospitalized to general wards, intensive care units of a children's hospital. Characteristics related to pressure injury were collected, and predicted validity was compared by calculating the areas under the curve (AUC) of the Braden, Braden Q, and Braden QD scales. Results: A total of 689 patients were included in the study. A total of 13 (1.9%) patients had pressure injuries, and the number of pressure injuries was 17. Factors related to the occurrence of pressure injuries were 9 (52.9%) immobility-related and 8 (47.1%) medical device-related. The AUC for each scale was .91 (95% CI .89~.94) for Braden, .92 (95% CI .90~.95) for Braden Q, and .94(95% CI .92~.96) for Braden QD. The optimal cut-off points were identified as 16 for Braden (sensitivity=88.8%, specificity=86.4%), 17 for Braden Q(sensitivity=63.6%, specificity=94.9%), and 12 for Braden QD (sensitivity=94.4%, specificity=88.7%). Conclusion: The Braden QD scale demonstrated the highest predictive validity for pressure injuries in pediatric patients and is expected to be valuable tool in preventing pediatrics pressure injuries.

Detection and Remove Algorithm of B/W Line Scratch on Old Film by Linear Recursive Curve Trace (선형 회귀곡선 추적을 이용한 고전 필름의 흑,백 라인 스크래치 검출과 제거 알고리즘)

  • Rhee, Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.6
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    • pp.36-42
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    • 2007
  • According to the increased demand of high quality multimedia content, it needs to recover an old movies. But the film of old movie is damaged with line scratches and dust. In this paper, the detection and restoration algorithm of B/W line scratch is proposed. Our scheme estimates and interpolates the damaged partial information of line scratch using the linear recursive curve trace which consider the intensity values of left and right region of line scratch and then median filtering processed. As a result, the film image PSNR 44.68 with B/W line scratch is increased up to 48.60 and the intensity of the interpolate pixel is approached about 14 against the pixel of original image.