• 대한원격탐사학회지
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• 제39권4호
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• pp.395-407
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• 2023

Super-resolution (SR) has great significance in image processing because it enables downstream vision tasks with high spatial resolution. Recently, SR studies have adopted deep learning networks and achieved remarkable SR performance compared to conventional example-based methods. Deep-learning-based SR models generally require low-resolution (LR) images and the corresponding high-resolution (HR) images as training dataset. Due to the difficulties in obtaining real-world LR-HR datasets, most SR models have used only HR images and generated LR images with predefined degradation such as bicubic downsampling. However, SR models trained on simple image degradation do not reflect the properties of the images and often result in deteriorated SR qualities when applied to real-world images. In this study, we propose an image degradation model for HR satellite images based on the modulation transfer function (MTF) of an imaging sensor. Because the proposed method determines the image degradation based on the sensor properties, it is more suitable for training SR models on remote sensing images. Experimental results on HR satellite image datasets demonstrated the effectiveness of applying MTF-based filters to construct a more realistic LR-HR training dataset.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.73-75
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• 2022

글자 인식 시스템은 무인 로봇, 자율 주행 자동차 등 자동화를 필요로 하는 인공지능 분야에서 사용되는 기술로, 주변 환경에 여러 장애물이 있음에도 글자를 정확하게 인식하는 것을 말한다. 영어만 인식했던 기존의 연구와 달리, 본 논문은 영어, 한국어, 특수문자와 숫자를 포함한 다양한 문자가 혼재되어 있는 경우에도 강한 인식률을 보여준다. 가장 높은 확률 값을 갖는 클래스 하나 만을 선택하는 것이 아닌 차 순위의 확률도 함께 고려하여 후보 단어 리스트를 생성하고, 이로 인해 기존에 오인식되는 단어를 교정할 수 있는 방법을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1597-1610
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• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.

• 한국전문물리치료학회지
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• 제29권2호
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• pp.87-93
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• 2022

To solve the pathological problems of the musculoskeletal system based on evidence, a sophisticated analysis of human motion is required. Traditional optical motion capture systems with high validity and reliability have been utilized in clinical practice for a long time. However, expensive equipment and professional technicians are required to construct optical motion capture systems, hence they are used at a limited capacity in clinical settings despite their advantages. The development of information technology has overcome the existing limit and paved the way for constructing a motion capture system that can be operated at a low cost. Recently, with the development of computer vision-based technology and optical markerless tracking technology, webcam-based 3D human motion analysis has become possible, in which the intuitive interface increases the user-friendliness to non-specialists. In addition, unlike conventional optical motion capture, with this approach, it is possible to analyze motions of multiple people at simultaneously. In a non-optical motion capture system, an inertial measurement unit is typically used, which is not significantly different from a conventional optical motion capture system in terms of its validity and reliability. With the development of markerless technology and advent of non-optical motion capture systems, it is a great advantage that human motion analysis is no longer limited to laboratories.

• 한국식생활문화학회지
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• 제24권4호
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• pp.440-450
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• 2009

The purposes of study were to survey the status of nutrition education in school and investigate the perception of nutrition teacher candidates concerning the direction and ideal method for nutrition education. A questionnaire was distributed to 554 nutrition teacher candidates from August to October, 2006. A total of 468 usable data were collected (84.5% response rate). The statistical data analysis was completed by using SPSS for Windows (ver. 10.0) for descriptive analysis, ANOVA and $X^2$-test. About 52% of respondents had nutrition education teaching experience. Half of the respondents indicated that the necessity for nutrition education stemmed from their own need for such education. The main problem in students' dietary life was 'the increasing intake of processed foods, instant foods and fast foods (4.23 out of Likert 5 point scale)' and the major nutritional problem was 'high calorie intake with low essential nutrients (3.96 out of Likert 5 point scale)'. Over half the respondents (53.4%) recommended that nutrition education be oriented towards behavioral change rather than knowledge delivery. Social learning theory was preferred mostly as an theory apt to nutrition education (60.3%) and the most effective means of education was referred to organizing the regular class for nutrition education (50.5%). The 'playing such as songs or game' was reported as both effective and realizable method in nutrition education.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.990-991
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• 2023

커져만 가는 비건 시장에 비해서 비건 제품의 가격은 높고, 한정되어 있다. 성분표만을 보고 비건 여부를 파악하기에는 어렵고, 저시력자 및 시각장애인에게는 더욱 어려운 일이다. 치주 질환이나 당뇨를 포함한 크고 작은 다양한 질병으로 인해 육식 섭취 대신 불가피하게 채식을 실천해야 하는 경우 또는 가격 부담이 크고 찾기 어렵다. 그래서 비건 인증을 받은 제품 대신 일반 제품들 사이에서 비건에 적합한 제품을 찾는 데 도움이 되는 시스템을 개발하고자 한다. 본 논문에서는 저시력자 및 시각장애인을 위한 큰 글씨 화면, 음성 입출력 시스템 제공과 성분표 촬영을 통해 비건 적합 여부 및 알레르기 정보 제공, 사용자 특성 분석을 통한 UI 구성의 서비스를 제공한다. 성분표 촬영에 어려움을 겪는 저시력자 및 시각장애인에게 편리를 제공하기 위해 소프트웨어 뿐만 아니라 하드웨어를 구성한다.

• Asia pacific journal of information systems
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• 제32권3호
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• pp.630-655
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• 2022

This paper examines the integrated QR code payment service (QRIS) adoption by retailers in Indonesia. Indonesia started its cashless journey in 2017 by using electric money in card form. As the country keeps developing, Indonesia has planned to integrate its payment towards a cross-border payment using QR codes by 2025 in the South East Asian region. Facing government vision, MSMEs that act as the significant economy wheel in Indonesia was required to be prepared to face the multi-cultural, multi-currency, and the new tech innovation for doing transactions. However, as a developing country, Indonesia faced significant problems with its infrastructure, which made it hard for merchants to access digital payment. As infrastructure was a common problem for developing countries, Indonesia also faced financial inclusion, lack of digital knowledge, a high amount of cash use, and socialization that made low digital payment penetration. Therefore, as there was a need to increase digital payment penetration for ASEAN integrated payment, this study found that merchant compatibility, facilitating conditions, trust, and relative advantages are drivers for MSMEs using this payment method. Further, this research provides propositions for banks, financial institutions, and governments to develop and evolve towards a cashless ecosystem, especially for a country lacking infrastructure.

• 한국안전학회지
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• 제39권1호
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• pp.27-32
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• 2024

This study analyzed cases of hydrogen (H₂) and natural gas (CH₄) leakage from a hydrogen-blended natural gas pipeline to determine a range of leakage characteristics, including leakage type, pipe material, pipe diameter, pressure, and damage size. Based on the results of this analysis, five hydrogen-blended natural gas leakage scenarios were selected. The national vision for a carbon-neutral society by 2050 is a very important strategic objective and promotes environmentally sustainable economic development in the age of the climate crisis. Accordingly, zero-carbon and low-carbon policies are being promoted in various fields, including energy production, consumption, and industrial processes. Hydrogen-blended natural gas is eco-friendly and is considered an important step towards carbon neutrality, with various countries including the United States and several European countries conducting empirical research to further investigate its potential. In Korea, a national research project commenced in April 2023 to verify and demonstrate the life cycle safety of blending hydrogen into the natural gas network. The results of this study will provide important data for the analysis of the damage impacts caused by the leakage of hydrogen-blended natural gas, such as the diffusion of gas clouds, fires, and gas explosions.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.285-288
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• 2007

There is substantial evidence from earlier researches that older adults have difficult seeing under low illumination and at night, even in the absence of ocular diseases. During human aging, there is a rampant decrease in rod/cone-meditated adaptation which is caused by delayed rhodopsin regeneration and pigment depletion. This calls for a need to develop appropriate visual gadgets to effectively aid the aging generation. Our research culminates its approach from Pattanaik's model by making extensions to temporal visual filtering, thereby simulating a reduction of visual response which comes with age. Our filtering model paves way and lays a foundation for future research to develop a more effective adaptation model that may be further used in developing visual content adaptation aids and guidelines in MPEG 21 environment. We demonstrate our visual model using a High Dynamic Range image and the experiment results are in conversant with the psychophysical data from previous vision researches.

• Advances in concrete construction
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• 제17권3호
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• pp.159-165
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• 2024

The interaction of short range zigzag single walled carbon nanotubes CNTs based on modified elasticity model is studied in this paper. The numerical accurate results are presented. Through this model the vibrational frequency of zigzag (5, 0), (12, 0) single-walled CNTs with certain end conditions are estimated. The natural frequencies of single walled carbon nanotubes are obtained by elasticity model. It is considered for various estimation of height-to-diameter ratio of zigzag tube. This simulation is performed to quantify small scale effects. Moreover, the natural frequencies increase by increasing the height-to-diameter ratio. These frequencies are very sensitive with low height-to-diameter ratio. The feasibility and effective use of present model is explained by comparison of outputs of earlier investigations.