• Transactions of the Korean Society of Mechanical Engineers B
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• v.27 no.11
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• pp.1572-1578
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• 2003

Particle Image Thermometry(PIT) with liquid crystal tracers is used for visualizing and analysis of the bubbly flow in a vertical temperature gradient. Quantitative data of the temperature were obtained by applying the color-image processing to a visualized image, and neural-network was applied to the color-to-temperature calibration. This paper describes the method, and presents the transient mixing temperature patterns of the bubbly flow.

• Archives of design research
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• v.16 no.3
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• pp.59-70
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• 2003

The consumer's feelings toward products is each evaluated and appears in different way that is to say there are various types of motives for deciding a purchase for example, there might be an interesting function and emotional reaction. How is the product image that induces motives like this metaphorized and evaluated to be existing in the mental image. This study inquired into, it by presenting problems conscious of both sides indicated above, the major points associated with image of the product, characteristic positions of product elements and evaluation of the product. To draw out a clear conclusion, first three hypotheses were established and case a study was performed as part of conclusive research for verification of this. The collected data was made, by simple tabulation to represent the overall flow, and based on this, concrete analysis was conducted on the three reserch items. The analysis method weighted on quantitative analysis with consideration to consumer's psychological aspect. As the result, three important conclusions could be drawn out or ratiocination for evaluation of mental image formation.

• Journal of Microbiology and Biotechnology
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• v.33 no.3
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• pp.348-355
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• 2023

Epifluorescence microscopy with image analysis was evaluated as a biofilm quantification method (i.e., quantification of surface area colonized by biofilms), in comparison with crystal violet (CV) staining. We performed different experiments to generate multispecies biofilms with natural and artificial bacterial assemblages. First, four species were inoculated daily in 16 different sequences to form biofilms (surface colonization, 0.1%-56.6%). Second, a 9-species assemblage was allowed to form biofilms under 10 acylase treatment episodes (33.8%-55.6%). The two methods comparably measured the quantitative variation in biofilms, exhibiting a strong positive relationship (R² ≥ 0.7). Moreover, the two methods exhibited similar levels of variation coefficients. Finally, six synthetic and two natural consortia were allowed to form biofilms for 14 days, and their temporal dynamics were monitored. The two methods were comparable in quantifying four biofilms colonizing ≥18.7% (R² ≥ 0.64), but not for the other biofilms colonizing ≤ 3.7% (R² ≤ 0.25). In addition, the two methods exhibited comparable coefficients of variation in the four biofilms. Microscopy and CV staining comparably measured the quantitative variation of biofilms, exhibiting a strongly positive relationship, although microscopy cannot appropriately quantify the biofilms below the threshold colonization. Microscopy with image analysis is a promising approach for easily and rapidly estimating absolute quantity of multispecies biofilms.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.433-438
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• 2014

This study aims to get more accurate and objective result by quantifying the result for the sperm changes through the quantitative analysis by the image processing based on the image obtained microscopically for the testicle cell and sperm change appeared with the passage of time when the radiation is irradiated to the white rat testicle. This study has targeted the white rat of 8 weeks lifespan, the X-ray of 6 MV with 1 time of 2 Gy has been irradiated to the whole body. The testicles of 5 rats at each test group immediately after irradiation, after 2 hours of irradiation, 4 hours, 8 hours and 24 hours has been respectively extracted targeting all 30 white rats of normal control group not irradiated by the radiation and the test group. The state of testicle cell and sperm has been observed in the normal control group and the test group by implementing Periodic acid Schiff dyeing after extraction. 24 hours after irradiation, a gradual decrease in sperm count and testicular cells qualitatively and quantitatively that were identified as significant.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.39-47
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• 2023

This study compares various transformation techniques for multifocus image fusion. Multi-focus image fusion is a procedure of merging multiple images captured at unalike focus distances to produce a single composite image with improved sharpness and clarity. In this research, the purpose is to compare different popular frequency domain approaches for multi-focus image fusion, such as Discrete Wavelet Transforms (DWT), Stationary Wavelet Transforms (SWT), DCT-based Laplacian Pyramid (DCT-LP), Discrete Cosine Harmonic Wavelet Transform (DC-HWT), and Dual-Tree Complex Wavelet Transform (DT-CWT). The objective is to increase the understanding of these transformation techniques and how they can be utilized in conjunction with one another. The analysis will evaluate the 10 most crucial parameters and highlight the unique features of each method. The results will help determine which transformation technique is the best for multi-focus image fusion applications. Based on the visual and statistical analysis, it is suggested that the DCT-LP is the most appropriate technique, but the results also provide valuable insights into choosing the right approach.

• Journal of Fashion Business
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• v.12 no.3
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• pp.54-61
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• 2008

The glitter of lame fabrics containing the metallic yarns may further be altered by $Na_2CO_3$ aqueous solution at an elevated temperature. In this study, the effect of the corrosion treatment on the yarn luster was evaluated using image analysis. The alkaline solution treatment was found to be more effective on the aluminum-based specimens than on the silver-based specimens. It was found that corrosion percentage measurement based on the transmission analysis may provide reasonable quantitative index, even if the measurement relies on an indirect method. Based on the quantitative results, the alkaline treatment condition for the specific specimen would be optimized for a desired glitter modification.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.03a
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• pp.1205-1210
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• 2005

The behavior of rock mass and solute(e.g. groundwater, radioactivity) flow in fractured rock can be directly influenced by joint roughness. The characteristics of joint roughness is also a main factor for the rock classification(e.g. RMR, Q system) which is usually used in tunnel design. Nevertheless, most of JRC estimation has been carried out only by the examination with the naked eye. This JRC estimation has a lack of objectivity because each investigator judges JRC by his subjective opinion. Therefore, it will be desirable that the assessment of JRC is performed by a numerical analysis which can give a quantitative value corresponding to the characteristics of a roughness curve. Meanwhile, roughness curves for joint surfaces which are observed in drill cores have been obtained only along linear profiles. Although roughness curves are measured in the same joint surface, they can frequently show diverse aspects in a standpoint of roughness characteristics. If roughness curves can be measured along the elliptical circumferences of joint surfaces from core scanning images or Televiewer images, they will certainly be more comprehensive than those measured along linear profiles for roughness characteristics of joint surfaces. This study is focus on dealing with (1) extracting automatically roughness curves from core scan image or Televiewer image, (2) improving the accuracy of quantitative assessment of JRC using fractal dimension concept.

• Korean Institute of Interior Design Journal
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• v.14 no.2 s.49
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• pp.217-224
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• 2005

The lack of objective decisive criteria and the absence of analyzing tools accrued from the experiments on various types developed from space design process makes it difficult to select and execute alternatives for them. As an attempt of coping with these problems, the aims of this study is to establish space analysis' models and to propose possibility of analyzing models by utilizing the technology of image process. It is now under study in the field of artificial intelligence based on the accomplishment of digital images. This study focused on establishment an analysis model based on accomplished digital images and image processing framework. It helps utilize various processing technologies that are currently in use of image processes, and problems of the study can be supplemented through further follow-up studies. Finally, analysis model can be constructed gradually huge design data in the analogue data to the digital image database and be proposed with index in design or evaluation step.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.1
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• pp.25-32
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• 2000

These days, the quantitative analysis of digital image by on-line image analysis system is being progressed actively, so the application of digital image is being groped in the safe test of construction. In this study, the synchronized 3D image acquisition and the system for processing that were established for analyzing the deflection of construction by using the acquired image from CCD camera. The reliability and the possibility of this established system are presented by deriving the accuracy of image analysis and the deflection of object through concrete loading test.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.909-914
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• 2024

This study suggests a quantitative evaluation of transfer learning, which is widely used in various AI fields, including image recognition for robot vision. Quantitative and qualitative analyses of results applying transfer learning are presented, but transfer learning itself is not discussed. Therefore, this study proposes a quantitative evaluation of transfer learning itself based on MNIST, a handwritten digit database. For the reference network, the change in recognition accuracy according to the depth of the transfer learning frozen layer and the ratio of transfer learning data and pre-training data is tracked. It is observed that when freezing up to the first layer and the ratio of transfer learning data is more than 3%, the recognition accuracy of more than 90% can be stably maintained. The transfer learning quantitative evaluation method of this study can be used to implement transfer learning optimized according to the network structure and type of data in the future, and will expand the scope of the use of robot vision and image analysis AI in various environments.