• Geomechanics and Engineering
• /
• v.17 no.5
• /
• pp.421-427
• /
• 2019

Coastal erosion is becoming a significant problem in Greece, Bangladesh, and globally. For the prevention and minimization of damage from coastal erosion, combinations of various structures have been used conventionally. However, most of these methods are expensive. Therefore, creating artificial beachrock using local ureolytic bacteria and the MICP (Microbially Induced Carbonate Precipitation) method can be an alternative for coastal erosion protection, as it is a sustainable and eco-friendly biological ground improvement technique. Most research on MICP has been confined to land ureolytic bacteria and limited attention has been paid to coastal ureolytic bacteria for the measurement of urease activity. Subsequently, their various environmental effects have not been investigated. Therefore, for the successful application of MICP to coastal erosion protection, the type of bacteria, bacterial cell concentration, reaction temperature, cell culture duration, carbonate precipitation trend, pH of the media that controls the activity of the urease enzyme, etc., are evaluated. In this study, the effects of temperature, pH, and culture duration, as well as the trend in carbonate precipitation of coastal ureolytic bacteria isolated from two coastal regions in Greece and Bangladesh, were evaluated. The results showed that urease activity of coastal ureolytic bacteria species relies on some environmental parameters that are very important for successful sand solidification. In future, we aim to apply these findings towards the creation of artificial beachrock in combination with a geotextile tube for coastal erosion protection in Mediterranean countries, Bangladesh, and globally, for bio-mediated soil improvement.

• International Journal of Advanced Culture Technology
• /
• v.10 no.1
• /
• pp.36-41
• /
• 2022

Cyberbullying and digital drama are on the rise among students. Therefore, this paper proposes an educational program that can enhance students' ability to use artificial intelligence(AI) technology and develop the power to respond to digital drama. In order to understand the effect of the proposed education program, this education was applied on a trial basis to 205 middle school students residing in South Korea. Moreover, the change of coping ability to the digital drama was observed before and after education. After applying for the educational program, the students' empathy(t=-5.506, p<0.001), peer conflict resolution(t=-3.842, p<0.01), and peer mediation(t=-4.213, p<0.001) improved, and did not significantly affect their anger control ability(t=-0.272, p>0.05). The educational program proposed in this paper uses AI to make it more attractive for students familiar with digital devices to participate in education and increase their educational concentration. This paper has its limitations as it is a study only for middle school students in South Korea. However, it is significant that the educational program proposed in this paper prevented the recently increased digital drama and led to a crucial change in coping ability.

• International Journal of Advanced Culture Technology
• /
• v.10 no.1
• /
• pp.230-235
• /
• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• International Journal of Advanced Culture Technology
• /
• v.10 no.2
• /
• pp.252-259
• /
• 2022

Artificial intelligence is used in fusion with image processing techniques using cameras. Image processing technology is a technology that processes objects in an image received from a camera in real time, and is used in various fields such as security monitoring and medical image analysis. If such image processing reduces the accuracy of recognition, providing incorrect information to medical image analysis, security monitoring, etc. may cause serious problems. Therefore, this paper uses a mixture of YOLOv4-tiny model and image processing algorithm and uses the COCO dataset for learning. The image processing algorithm performs five image processing methods such as normalization, Gaussian distribution, Otsu algorithm, equalization, and gradient operation. For RGB images, three image processing methods are performed: equalization, Gaussian blur, and gamma correction proceed. Among the nine algorithms applied in this paper, the Equalization and Gaussian Blur model showed the highest object detection accuracy of 96%, and the gamma correction (RGB environment) model showed the highest object detection rate of 89% outdoors (daytime). The image binarization model showed the highest object detection rate at 89% outdoors (night).

• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.346-351
• /
• 2023

With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.7 no.4
• /
• pp.17-31
• /
• 2004

How far of natural regeneration of the city and improvement on the urban environment will be possible in the replanting on the impermeable surface? The replanting of what kind of form will be obtained in order to realize it? The regeneration of the nature is possible, if it can be realized at the thin soil layer in which the result of being equivalent to the natural soil function. Using the light artificial soil with the water retentiveness, it is possible that green on the artificial ground reinforces the green skeleton of the city. The green of artificial ground improves the thermal ambience of the city and demonstrates stormwater runoff depression effect. It is necessary to built the landscape which continues with the surrounding green. Ecologically stabilizing green has the high amenity. The development of replanting technology of the artificial ground which fosters the city culture is desired.

• The International Journal of Costume Culture
• /
• v.9 no.2
• /
• pp.83-93
• /
• 2006

This study aims to analyze the hair styles featured in the collections from S/S season of 1995 to F/W season of 2004 both qualitatively and quantitatively by using content-analytical methods. This study was able to form a classifying system that divides hair styles into those artificial and those natural through systematic and scientific research. The resulting system, in turn, broadened the basis for understanding modern fashion and hair style expressions. In addition, by analyzing design-related characteristics, certain expressive techniques employed, and trends in detail, this study contributed to establishing the hair styles, which form part of socio-cultural phenomena, as an academic subject.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.295-301
• /
• 2019

Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

• International Journal of Advanced Culture Technology
• /
• v.6 no.4
• /
• pp.165-171
• /
• 2018

As the artificial intelligence (AI) plays a crucial role in machine translation (MT) which has loomed large as a new translation paradigm, concerns have also arisen if MT can produce a quality product as human translation (HT) can. In fact, several MT experimental studies report cases in which the MT product called post-editing (PE) as equally as HT or often superior ([1],[2],[6]). As motivated from those studies on translation quality between HT and PE, this study set up an experimental situation in which Korean literature was translated into English, comparatively, by 3 translators and 3 post-editors. Afterwards, a group of 3 other Koreans checked for accuracy of HT and PE; a group of 3 English native speakers scored for fluency of HT and PE. The findings are (1) HT took the translation time, at least, twice longer than PE. (2) Both HT and PE produced similar error types, and Mistranslation and Omission were the major errors for accuracy and Grammar for fluency. (3) HT turned to be inferior to PE for both accuracy and fluency.

• International Journal of Advanced Culture Technology
• /
• v.7 no.2
• /
• pp.218-226
• /
• 2019

In modern society, people live in an environment with artificial or natural noise. Especially, the sound that corresponds to the artificial noise makes the noise itself and affects each other because many people live and work in the city. Sounds are generated by the activities and causes of various people, such as construction sites, aircraft, production machinery, or road traffic. These sounds are essential elements in human life and are recognized and judged by human auditory organs. Noise is a sound that you do not want to hear by subjective evaluation, and it is a loud sound that gives hearing damage or a sound that causes physical and mental harm. In this study, we introduce the method of stimulating the human hearing by finger vibration and explain the advantages of the proposed method in various kinds of a noise environment. And how to improve the sound quality to improve efficiency. In this paper, we propose a method to prevent the loss of hearing loss and the transmission of sound information based on proper signal to noise ratio when using portable IT equipment in various noise environments.