• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.797-802
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• 2020

Over the past few years, smart devices, including smartphones, have been continuously required by users based on portability. The performance is improving. Ubiquitous computing environment and sensor network are also improved. Due to various network connection technologies, mobile terminals are widely used. Smart terminals need technology to make energy monitoring more detailed for more stable operation during use. The smart terminal which is light in small size generates the power shortage problem due to the various multimedia task among the terminal operation. Various estimation hardwares have been developed to prevent such situation in advance and to operate stable terminals. However, the method and performance of estimating the remaining amount are not relatively good. In this paper, we propose a method for estimating the remaining amount of smart terminals. The Capacity Estimation of lithium ion cells for stable operation was estimated based on machine learning. Learning the characteristics of lithium ion cells in use, not the existing hardware estimation method, through a map learning algorithm using machine learning technique The optimized results are estimated and applied.

• School Mathematics
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• v.9 no.3
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• pp.397-408
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• 2007

This research intends to look into how mathematically gifted 6th graders (age12) who have not learned conditional probability before solve conditional probability problems. In this research, 9 conditional probability problems were given to 3 gifted students, and their problem solving approaches were analysed through the observation of their problem solving processes and interviews. The approaches the gifted students made in solving conditional probability problems were categorized, and characteristics revealed in their approaches were analysed. As a result of this research, the gifted students' problem solving approaches were classified into three categories and it was confirmed that their approaches depend on the context included in the problem.

• Journal of Biomedical Engineering Research
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• v.21 no.4
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• pp.419-431
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• 2000

In this paper, a new beamforming technique is proposed, which can completely eliminate all the artifacts caused by digital scan converter. In the proposed method, named display-pixel-based focusing(DPBF) by the authors, ultrasound waves are focused directly at the display pixels instead of sampling points on the polar coordinate. Consequently. the DPBF system does not require the digital scan converter. To verify the proposed method, we modified a commercial scanner and performed experiments with a 3.5 MHz convex array and a 7.5 MHz linear array. We also defined and measured ICRA/B(Image Coarseness Ratio) to compare the image quality quantitatively. The experimental results with in vivo and in vitro data show that the proposed method improves the ICRA/B considerably, resulting in much smoother and finer images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1176-1182
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• 2021

Recently, with the development of artificial intelligence and IoT technology, automation, and unmanned work are progressing in various fields, and the importance of image processing, which is the basis of AI object recognition, is increasing. In particular, in systems that require detailed data processing, noise removal is used as a preprocessing step, but the existing algorithm does not consider the noise level of the image, so it has the disadvantage of blurring in the filtering process. Therefore, in this paper, we propose a modified Gaussian filter that determines the weight by determining the noise level of the image. The proposed algorithm obtains the noise estimate for the AWGN of the image using quadtree segmentation, determines the Gaussian weight and the pixel weight, and obtains the final output by convolution with the local mask. To evaluate the proposed algorithm, it was simulated compared to the existing method, and superior performance was confirmed compared to the existing method.

• (The) Research of the performance art and culture
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• no.25
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• pp.211-251
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• 2012

I attempted to study the resolution of how I can show the essence of an original musical production to audience, the possibilities of how recreate impossible elements according to Korean musical environment because of cultural and linguistic differences, and verify the meaning of adjusting an original production to Korean one through directorial approaches to licensed musical production. I mainly exemplified 2009 Korean production (Charlotte Theatre, March ~ August, 2009) that I directed. The purpose that I wanted to analyze the case of Korean production mainly is able to prove a wide variety of possible challenges rather than simply licensed ones because the former was recreated in 30 years after the first original production. Recreation and coaching to acting through fine and precise analysis of an original production, Koreanizing Western culture of the licensed musical, resolving the problem of linguistic nuances are the important ways to direct licensed musical. For licensed musical director, cooperation with original creative team and Korean production company must be the most important job.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.33-39
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• 2021

In this study, there are regional limitations for the fine dust data provided by public data to represent the wide area air quality. It is about a method that can provide detailed data in a specific area beyond location restrictions. The goal of this implementation is to mount the IoT-based fine dust sensor on a quadcopter that can fly autonomously beyond the positional limitations of the current measuring station, which is fixed, and quickly move the fire-generating area and the area of rapid fine dust to make detailed measurements. Through this, the system is designed and implemented to enable the fundamental analysis of the occurrence. We designed a QDMS system and proposed a method to measure detailed changes in fine dust at a specific location through manufacturing and experiments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.560-565
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• 2020

Korea's seaweed is using a method that is not suitable for the automated process and quality are significantly lower than the export volume of 20,000 tons or more. Therefore, in this paper, we improved the existing dry steaming weight control device and electronicized the remote control system and the existing dry steaming weight control device. This is implemented with precise and detailed device, unlike the dry seaweed weight control method using the conventional valve which depends on the user's feeling and experience. Also, because it is a remote control system, it can help to produce seaweed safely even if you don't climb on the machine. The Seaweed weight control device implemented is expected to contribute greatly to the automation process and industrial growth of the steeply growing dry laver production and export industry.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.3
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• pp.104-109
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• 2021

In this paper, we experimentally demonstrate a self-seeding FP-LD (Fabry Perot Laser Diode) to verify the possibility of a new tunable light source that can be used in WDM-PON (Wavelength Division Multiplexing - Passive Optical Network) system. The conventional implementation of WDM-PON using a tunable light source has a disadvantage that the center wavelength of the AWG (Arrayed Waveguide Grating) device and the tunable light source must be precisely aligned. However, the proposed tunable light source has the advantage that the tunable wavelength is automatically aligned with the center wavelength of the AWG as well as simple structure. The implemented tunable light source had a tunable band of about 14 nm or more, and the maximum RIN (Relative Intensity Noise) of about -124 dB/Hz, which showed the possibility of modulating 10 Gb/s signal by an external modulator.

• 한국체육학회지인문사회과학편
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• v.58 no.3
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• pp.123-141
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• 2019

The purpose of this study is to explore the ways of savoring of physical activities in middle-aged women based on the savoring theory of positive psychology. The first step was to understand the background of exercise participation experience and to provide basic information about savoring method. In the second stage, we used the open questionnaire to collect the savoring methods used during the exercise, and then, in-depth interviews were used to specify the savoring method. Open questionnaires were categorized according to the similarity of content and then nominated based on the savoring method. In-depth interviews were conducted to explore the cases of each method in detail. As a result, middle-aged women were found to use the savoring methods such as sharing with others, celebrating, comparing, feeling fine, blessing, expressing with behavior in physical activity. Through in-depth interviews, each case of savoring was embodied based on the savoring theory of positive psychology. Based on the results of the study, the possibility of applying the savoring method in the field of exercise instruction of middle-aged women and possibility of developing the savoring related program were discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.561-568
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• 2023

Various defects occur in concrete structures due to internal and external environments. If there is a defect, it is important to efficiently identify and maintain it because there is a problem with the structural safety of concrete. However, recent deep learning research has focused on cracks in concrete, and studies on exfoliation and contamination are lacking. In this study, focusing on exfoliation and contamination, which are difficult to label, four models were developed and their performance evaluated through unlabelling method, filtering method, the convergence of transfer learning based k-means clustering. As a result of the analysis, the convergence model classified the defects in the most detail and could increase the efficiency compared to direct labeling. It is hoped that the results of this study will contribute to the development of deep learning models for various types of defects that are difficult to label in the future.