• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.6
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• pp.15-23
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• 2011

Stereo vision approach to solve the problem using a single camera three dimension precise distance measurement and object recognition method is proposed. Precise three dimensional information of objects can be obtained using single camera, a laser light and a rotating flat mirror. With a simple thresholding operation on the depth information, the segmentations of objects can be obtained. Comparing the signatures of object boundaries with database, objects can be recognized. Improving the simulation results for the object recognition by precise distance measurement are presented.

• Structural Monitoring and Maintenance
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• v.3 no.1
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• pp.91-114
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• 2016

In this paper, recent research trends and activities on structural health monitoring (SHM) of civil infrastructure in Korea are reviewed. Recently, there has been increasing need for adopting smart sensing technologies to SHM, so this review focuses on smart sensing, monitoring, and assessment for civil infrastructure. Firstly, the research activities on smart sensor technology is reviewed including optical fiber sensors, piezoelectric sensors, wireless smart sensors, and vision-based sensing system. Then, a brief overview is given to the recent advances in smart monitoring and assessment techniques such as vibration-based global monitoring techniques, local monitoring with piezoelectric materials, decentralized monitoring techniques for wireless sensors, wireless power supply and energy harvest. Finally, recent joint SHM activities on several test beds in Korea are discussed to share the up-to-date information and to promote the smart sensors and monitoring technologies for applications to civil infrastructure. It includes a Korea-US joint research on test bridges of the Korea Expressway Corporation (KEC), a Korea-US-Japan joint research on Jindo cable-stayed bridge, and a comparative study for cable tension measurement techniques on Hwamyung cable-stayed bridge, and a campaign test for displacement measurement techniques on Sorok suspension bridge.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.4
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• pp.422-427
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• 2014

This study provides a method to detect blood vessels shape using image processing techniques with the help of fluoroscopy equipments, providing high precision information about vessels' location and shape of inner path. It will assist for checking and monitoring the position of operating tools during vascular interventional treatment. The blood vessels shapes are gathered with X-ray images when a fluorescent medications are injected into patient's vessel and those images are processed for getting the boundaries of vessels. Then these data are merged with real-time CT-images. These image processing systems and procedures recognize the catheter, though continued computing algorithms are very useful for observer part on the automatic control system.

• Transactions of the Korean Society of Automotive Engineers
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• v.16 no.5
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• pp.134-139
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• 2008

This research investigated variations of the engine performance and the exhaust emission characteristic of a direct injection diesel engine by fueling a commercial diesel fuel, which was blended with the di-ether group (butyl-ether: BE). The smoke emission reduced to 26% from the diesel engine with the blending fuel (diesel fuel 80 vol-% + BE 20 vol-%)at the full engine load of 2500 rpm compared to it with the diesel fuel only. The power, torque and brake specific energy consumption of the diesel engine showed very slight differences. The NOx emission from the diesel engine, however, with the blended fuel was higher than with the commercial diesel fuel only. By applying EGR method, as a counter plan of the NOx reduction, this research obtained reductions of the smoke and NOx emission at the same time from the diesel engine with the BE blended diesel fuel.

• Journal of radiological science and technology
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• v.45 no.2
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• pp.165-170
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• 2022

Staphylococcus aureus is a major pathogen that causes clinical infections in humans and can also cause massively colonized in lesion skin, particularly in atopic dermatitis patients. This study investigated the effects of photodynamic inactivation with radachlorin and diode laser irradiation on the viability of S. aureus in vitro and assessed the effects of the dose of laser transmission. In the PDI group, 5 𝜇L of S. aureus suspension and 5 𝜇L of radachlorin were inoculated in a 55 mm petri dish (63.6 cm²). The samples were placed in a 37° incubator for 30 min and then irradiated with light (660 nm diode laser). After laser irradiation, the cells were stored for 24 h at 37° in an incubator with 5% CO2, and the number of colonies was counted. All CFU/mL of S. aureus were reduced by diode laser in the presence of radachlorin, with a killing rate of 87.9% at an energy dose of 9 J/cm². This study contribute to treat colonized with S. aureus in atopic dermatitis patients and wound infections by providing information on the optimal dose of laser transmission using PDI to eliminate S. aureus.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.2
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• pp.323-328
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• 2021

Diagnostic models are required. Data augmentation is one of the best ways to improve deep learning performance. Traditional augmentation techniques that modify image brightness or spatial information are difficult to achieve great results. To overcome this, a generative adversarial network (GAN) technology that generates virtual data to increase deep learning performance has emerged. GAN can create realistic-looking fake images by competitive learning two networks, a generator that creates fakes and a discriminator that determines whether images are real or fake made by the generator. GAN is being used in computer vision, IT solutions, and medical imaging fields. It is essential to secure additional learning data to advance deep learning-based fault diagnosis solutions in the power industry where facilities are strictly maintained more than other industries. In this paper, we propose a method for generating power facility images using GAN and a strategy for improving performance when only used a small amount of data. Finally, we analyze the performance of the augmented image to see if it could be utilized for the deep learning-based diagnosis system or not.

• Journal of the Semiconductor & Display Technology
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• v.22 no.1
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• pp.104-112
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• 2023

Agriculture plays an industrial and economic role, as well as an environmental and ecological conservation role, group harmony and the inheritance of traditional culture. However, no matter how advanced the industry is, the basic food necessary for human life can only be produced through the photosynthesis of plants with natural resources such as the sun, water, and air. The Food and Agriculture Organization of the United Nations (FAO) predicts that the world's population will increase by another 2 billion people by 2050, and it faces a myriad of complex and diverse factors to consider, including climate change, food security concerns, and global ecosystems and political factors. In particular, in order to solve problems such as increasing productivity and production of agricultural products, improving quality, and saving energy, it is difficult to solve them with traditional farming methods. Recently, with the wind of the 4th industrial revolution, ICT convergence technology and artificial intelligence have been rapidly developing in many fields, but it is also true that the application of new technologies is somewhat delayed due to the unique characteristics of agriculture. However, in recent years, as ICT and artificial intelligence utilization technologies have been developed and applied by many researchers, a revolution is also taking place in agriculture. This paper summarizes the current state of research so far in four categories of agriculture, namely crop cultivation environment management, soil management, pest management, and irrigation management, and smart farm research data that has recently been actively developed around the world.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.818-819
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• 2010

고층빌딩, 지하역사와 같은 대형 복합건물은 건물 자체의 복합도 증가와 더불어 이에 따른 위험요소(hazard)의 증가를 가져오고 위험상황에 대처해야 할 소방관들의 대응기술 및 훈련도 고도화되어야 한다. 실제 화재현장, 특히 대형 복합건물에 대한 훈련은 비용, 시간뿐만 아니라 소방관 안전 확보라는 차원에서 불가능하며 반복적인 훈련이나 그 평가가 어렵다는 점에서 가상환경을 이용한 훈련 시스템이 필요하다. 본 논문에서는 복합건물에 대한 소방관 팀 훈련 시스템 구현을 위한 가상환경의 설계 및 구현을 소개하고자 한다. 가상환경은 소방관의 훈련 및 평가, 팀 단위훈련을 제공하고 현실감 있는 훈련을 위하여 가상현실, 증강현실, 물리체험 모듈을 이용한 사용자 인터페이스를 제공한다. 가상환경 구축을 위하여 대상 건축물에 대한 3 차원 모델을 구축하고 도출된 발생 가능한 화재 시나리오에 대한 수치적 모델링을 수행하고 그 결과를 가상환경 및 훈련 시나리오에 반영하였다.

• Computers and Concrete
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• v.32 no.5
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• pp.475-486
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• 2023

Nondestructive evaluation (NDE) is an important task of civil engineering structure monitoring and inspection, but minor damage such as small cracks in local structure is difficult to observe. If cracks continued expansion may cause partial or even overall damage to the structure. Therefore, monitoring and detecting the structure in the early stage of crack propagation is important. The crack detection technology based on machine vision has been widely studied, but there are still some problems such as bad recognition effect for small cracks. In this paper, we proposed a deep learning method based on sweep signals to evaluate concrete surface crack with a width less than 1 mm. Two convolutional neural networks (CNNs) are used to analyze the one-dimensional (1D) frequency sweep signal and the two-dimensional (2D) time-frequency image, respectively, and the probability value of average damage (ADPV) is proposed to evaluate the minor damage of structural. Finally, we use the standard deviation of energy ratio change (ERVSD) and infrared thermography (IRT) to compare with ADPV to verify the effectiveness of the method proposed in this paper. The experiment results show that the method proposed in this paper can effectively predict whether the concrete surface is damaged and the severity of damage.

• Journal of the Daesoon Academy of Sciences
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• v.29
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• pp.1-36
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• 2017

The purpose of this article is to investigate the future prospects for establishing the True Donghak phase of Daesoon Thought. The True Donghak refers to 'the future prospect of having a true life, true thinking, and true living' in which enjoying the world in a state of good fortune became a true reality after the death of Suwun, according to faith in Gucheon Sangje. The correlation between "Attending to the Lord of Heaven" in Donghak, and "The Reordering Works of Heaven and Earth" in Daesoon shows the prospect of achieving the Daesoonist transformation into energy to gain true life and re-creation. The correlation between "Nourishing the Lord of Heaven" in Donghak and "Attending to Study and Attending to Law" in Daesoon show the transformation of Daesoon-reason into true thinking and renewing. The correlation between "Humanity is Divine" in Donghak and "The Salvation of Humanity is the Will of Heaven" in Daesoon show transformation into the practice of Daesoon for the true living and renewing. This investigation utilizes the literature review and the generation theory of life-philosophy to examine revelations regarding the conversation between Spirit and Mind. This is the future prospect for the establishing the True Donghak phase of Daesoon thought. It consists of a threefold connection among life, thinking, and living. The "public-centered spirituality of Daesoon Truth" which connects and mediates among people appears in three aspects. Firstly, it is thought to be the vision of the true life through the 'renewal of active, energetic power' bestowed by Gucheon Sangje. Secondly, it is thought to be the vision of true thinking through the "renewal via freedom from delusion". Thirdly, it is thought to be the vision of true living through the "renewal of true mind". To bring about the creation of true Donghak, Gucheon Sangje incarnated to the Korean peninsula instead of Suwun and the salvation of the world salvation now centers on Korea with regards to the threefold connection future prospect. Gucheon Sangje's revelation addresses and solves the postscript problem of Chosun and further establishes a Utopia. Suwun established Donghak but failed later on due to his lankiness. At last the true Donghak has been opened for the future by Gucheon Sangje and Jeongsan's fifty years of religious accomplishments. In the long run, it has been developed further by Woodang's Daesoon Jinrihoe.