• Title/Summary/Keyword: 3D evaluation

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Measuring Leaf Areas with a Structured-Light 3D Scanner (3차원 구조광 스캐너를 이용한 식물의 잎 면적 측정 방법)

  • Nam, Kyong-Hee;Ko, Eun Mi;Mun, Saeromi;Kim, Chang-Gi
    • Korean Journal of Ecology and Environment
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    • v.47 no.3
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    • pp.232-238
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    • 2014
  • We have developed a non-destructive, touch-free method for estimating leaf areas with a structured-light three-dimensional (3D) scanner. When the surfaces of soybean leaves were analyzed with both the 3D scanner and a leaf area meter, the results were linearly related ($R^2=0.90$). The strong correlation ($R^2=0.98$) was calculated between shoot fresh weights and leaf areas when the scanner was employed during growth stages V1 to V4. We also found that leaf areas measured by the scanner could be used to detect changes in growth responses to abiotic stress. Whereas under control conditions the areas increased over time, salt and drought treatments were associated with reductions in those values after 14 d and 12 d, respectively. Based on our findings, we propose that a structured-light 3D scanner can be used to obtain reliable estimates of leaf area and plant biomass.

A Study on the Application of Analytic Hierarchy Process to Improve the Fairness of Evaluation Indicators for the National Defense Core Technology R&D Projects (국방 핵심기술 연구개발 사업의 평가지표 개선을 위한 계층분석적의사결정기법 적용 연구)

  • Kim, Chan-Soo;Cho, Kyu-Kab
    • Journal of the Korea Institute of Military Science and Technology
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    • v.10 no.3
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    • pp.79-89
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    • 2007
  • This study suggests the applicability of an AHP(Analytic Hierarchy Process) to improve the validity and fairness of evaluation index to assess the defense core-technology R&D projects. This study focused on the design of the proposal and performance evaluation index to structure them into a hierarchy using AHP which can be applicable to take the opinion of the defense R&D experts. Using the refined evaluation index, we propose a technique to enhance the reliability of the defense R&D projects evaluation system.

Evaluation of Protective Clothing Using 3D Virtual Fitting (3차원 가상착의를 활용한 방호복 평가)

  • Okkyung Lee;Heeran Lee
    • Textile Coloration and Finishing
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    • v.35 no.2
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    • pp.107-120
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    • 2023
  • The purpose of this study was to analyze the patterns of D level protective clothing, improve their ease of movement by modifying the patterns, and validate the effectiveness of the improvements through 3D virtual fitting and subjective wearing evaluations. Based on previous studies that identified numerous complaints, the patterns of the neck, armpit, and waist areas were modified, resulting in the development of new patterns. To compare and analyze the improved protective clothing with the basic protective clothing, stress and strain were examined after 3D virtual fitting. Additionally, to assess the clothing's allowance, the overall distance between the avatar and the protective clothing, as well as the sectional circumference length and distance of each avatar body part, were measured. Furthermore, the improved protective clothing was manufactured, and a subjective wearing evaluation was conducted with ten males in their twenties as participants. The results showed that the improved protective clothing had evenly distributed stress, larger sectional circumference, and lower average cavity distance. The subjective wearing evaluation also revealed that the suit with improved patterns exhibited superior size suitability, reduced pulling sensation in different body parts, and increased ease of movement. In conclusion, this study confirmed that even minimal pattern modifications can enhance the functionality of protective clothing, alleviating discomfort for wearers.

A Study on the Development of the Automatic Drafting of Slacks Pattern for Elementary School Girls and the Evaluation of Fitness of Slacks Using 3D Scanner (3D Scanner를 활용한 학령후기 여아의 바지 원형자동제도 프로그램 개발 및 착의평가에 관한 연구)

  • Suk, Eun-Young;Kim, Hae-Kyung
    • Journal of the Ergonomics Society of Korea
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    • v.21 no.3
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    • pp.59-79
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    • 2002
  • The purposes of the study were to present the optimum slacks pattern for elementary school girls and to compare and evaluate wearing ease of the slacks. 3D scans using the Cyberware PS motion platform were carried out for 3 subjects who have different body type. The automatic drafting method was programmed by AutoLISP in CAD. Wearing tests using 3D Scanner was done for evaluation of fitness of slacks. Regression analysis, analysis of variance and post-hoc test were performed for statistical analysis of the data by SPSS program. The procedure and results were as follows: The slacks construction components for pattern drafting were derived from 10 horizontal section maps obtained from 3D scans. The automatic drafting was based on the measurements of slacks construction components and the curve of crotch line. The crotch line was drafted using of the arc function in AutoCAD. The total crotch length was calculated using the multiple regression equation. Wearing test represented that the slacks pattern developed to accomodate individual body measurements was estimated more highly than existing patterns.

A study on simulation of women's Jacket using 3D CAD system (3D CAD system을 활용한 여성재킷 시뮬레이션에 관한 연구)

  • Kwak, Younsin
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.3
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    • pp.191-196
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    • 2018
  • The purpose of this study is to propose improvements for 3D garment simulation system by comparison with the difference between real garment and 3D garment simulation A, B of women's jacket. The process of the study was to take pictures on the standard sized subject wearing the jacket of basic size, to get a avatar from body sizes of the subject, and to obtain images of 3D garment simulation on the avatar. The appearance evaluation was resulted by the method of a questionnaire survey after presenting the images to 20 members of women's jacket customer. On that appearance evaluation, performed comparative analysis of same degree between the real garment and the Virtual garment A in women's jacket. And performed comparative analysis of same degree between the real garment and the Virtual garment B in women's jacket. It was done t-test for difference in appearance evaluation between real garment/virtual garment A and Real garment/virtual garment B. There were the differences on 4 areas: 1 question on the fabric, 9 questions on the front, 3 questions on the side, and 6 questions on the back.

Tightness Evaluation of Smart Sportswear Using 3D Virtual Clothing (3D 가상착의를 이용한 스마트 스포츠웨어의 밀착성 평가)

  • Soyoung Kim;Heeran Lee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.1
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    • pp.123-136
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    • 2023
  • To develop smart sportswear capable of measuring biometric data, we created a close-fitting pattern using two- and three-dimensional (2D and 3D, respectively) methods. After 3D virtual fitting, the tightness of each pattern was evaluated using image processing of contact points, mesh deviation, and cross-sectional shapes. In contact-point analysis, the 3D pattern showed high rates of contact with the body (84.6% and 93.1% for shirts and pants, respectively). Compared with the 2D pattern, the 3D pattern demonstrated closer contact at the lower chest, upper arm, and thigh regions, where electrocardiography and electromyography were primarily carried out. The overall average gap was also lower in the 3D pattern (5.27 and 4.66 mm in shirts and pants, respectively). In the underbust, waist, thigh circumference, and mid-thigh circumference, the cross-section distance between clothing and body was showed a statistically significant difference and evenly distributed in the 3D pattern, exhibiting more closeness. The tightness and fit of the 3D smart sportswear sensor pattern were successfully evaluated. We believe that this study is critical, as it facilitates the comparison of different patterns through visualization and digitization through 3D virtual fitting.

Study of Evaluate 3D Virtual Versus Actual Fitting - Focusing on Previous Studies - (3D 가상착의와 실제착의의 평가방법 고찰 - 선행 연구를 중심으로 -)

  • Ryu, Kyoung ok
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.2
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    • pp.33-43
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    • 2024
  • This study comprehensively analyzes previous research comparing the similarities between 3D virtual and actual fittings, and identifies the current usage and limitations of virtual fitting programs. The findings reveal that, in most cases, 3D virtual fittings are not perfect substitutes for actual fittings. To address these limitations, this research focuses on the Hohenstein fitting test and BP-ANNs-based garment fit evaluation method, which incorporate various parameters, such as the correlation between wearers and garments, garment pressure, and ease, thus providing objective data, such as data acquired that can enhance subjective evaluations. By integrating such objective assessments, the study suggests potential improvements in virtual fitting accuracy. This research is expected to provide foundational data necessary for the development of a consumer virtual fitting systems alongside advancements in 3D virtual fitting technology.

The Enhancement of the Boundary-Based Depth Image (경계 기반의 깊이 영상 개선)

  • Ahn, Yang-Keun;Hong, Ji-Man
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.4
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    • pp.51-58
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    • 2012
  • Recently, 3D technology based on depth image is widely used in various fields including 3D space recognition, image acquisition, interaction, and games. Depth camera is used in order to produce depth image, various types of effort are made to improve quality of the depth image. In this paper, we suggests using area-based Canny edge detector to improve depth image in applying 3D technology based on depth camera. The suggested method provides improved depth image with pre-processing and post-processing by fixing image quality deterioration, which may take place in acquiring depth image in a limited environment. For objective image quality evaluation, we have confirmed that the image is improved by 0.42dB at maximum, by applying and comparing improved depth image to virtual view reference software. In addition, with DSCQS(Double Stimulus Continuous Quality Scale) evaluation method, we are reassured of the effectiveness of improved depth image through objective evaluation of subjective quality.

Proteolysis Analysis and Sensory Evaluation of Fermented Sausages using Strains Isolated from Korean Fermented Foods

  • Chang-Hwan Jeong;Sol-Hee Lee;Hack-Youn Kim
    • Food Science of Animal Resources
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    • v.43 no.5
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    • pp.877-888
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    • 2023
  • We studied the proteolysis and conducted a sensory evaluation of fermented sausages using strains derived from Kimchi [Pediococcus pentosaceus-SMFM2021-GK1 (GK1); P. pentosaceus-SMFM2021-NK3 (NK3)], Doenjang [Debaryomyces hansenii-SMFM2021-D1 (D1)], and spontaneous fermented sausage [Penicillium nalgiovense-SMFM2021-S6 (S6)]. Fermented sausages were classified as commercial starter culture (CST), mixed with GK1, D1, and S6 (GKDS), and mixed with NK3, D1, and S6 (NKDS). The protein content and pH of GKDS and NKDS were significantly higher than those of CST on days 3 and 31, respectively (p<0.05). Sodium dodecyl sulfate-polyacrylamide gel electrophoresis showed that the NKDS had higher molecular weight proteins than the GKDS and CST. The myofibrillar protein solubility of the GKDS and NKDS was significantly higher than that of the CST on day 31 (p<0.05). The GKDS displayed significantly higher pepsin and trypsin digestion than the NKDS on day 31 (p<0.05). The hardness, chewiness, gumminess, and cohesiveness of the GKDS were not significantly different from those of the CST. The GKDS exhibited the highest values for flavor, tenderness, texture, and overall acceptability. According to this study, sausages fermented using lactic acid bacteria (GK1), yeast (D1), and mold (S6) derived from Korean fermented foods displayed high proteolysis and excellent sensory evaluation results.

Optimization of block-matching and 3D filtering (BM3D) algorithm in brain SPECT imaging using fan beam collimator: Phantom study

  • Do, Yongho;Cho, Youngkwon;Kang, Seong-Hyeon;Lee, Youngjin
    • Nuclear Engineering and Technology
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    • v.54 no.9
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    • pp.3403-3414
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    • 2022
  • The purpose of this study is to model and optimize the block-matching and 3D filtering (BM3D) algorithm and to evaluate its applicability in brain single-photon emission computed tomography (SPECT) images using a fan beam collimator. For quantitative evaluation of the noise level, the coefficient of variation (COV) and contrast-to-noise ratio (CNR) were used, and finally, a no-reference-based evaluation parameter was used for optimization of the BM3D algorithm in the brain SPECT images. As a result, optimized results were derived when the sigma values of the BM3D algorithm were 0.15, 0.2, and 0.25 in brain SPECT images acquired for 5, 10, and 15 s, respectively. In addition, when the sigma value of the optimized BM3D algorithm was applied, superior results were obtained compared with conventional filtering methods. In particular, we confirmed that the COV and CNR of the images obtained using the BM3D algorithm were improved by 2.40 and 2.33 times, respectively, compared with the original image. In conclusion, the usefulness of the optimized BM3D algorithm in brain SPECT images using a fan beam collimator has been proven, and based on the results, it is expected that its application in various nuclear medicine examinations will be possible.