• Korean Journal of Food Science and Technology
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• v.53 no.2
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• pp.139-148
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• 2021

Atopic dermatitis is a chronic, recurrent, inflammatory skin disease that is a well-known allergic disease with severe itching, making daily life difficult. Since the immunomodulatory action of vitamin D has been reported, several researchers have attempted to determine the correlation between vitamin D and atopic dermatitis. In this review, 41 articles meeting the inclusion criteria were selected and reviewed from the articles published to date. Several studies have reported that low vitamin D levels are associated with the onset of atopic dermatitis and severe atopic dermatitis, but the opinions remain conflicting. Similarly, there are conflicting opinions on the improvement effect of oral vitamin D supplementation on atopic dermatitis, but some possibilities have been suggested. To apply vitamin D as a therapeutic agent for atopic dermatitis, a more systematically designed experiment should be conducted, and an appropriate intake dose for an immunomodulatory function should be obtained.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.1
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• pp.75-84
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• 2021

The authors had presented two previous papers[1,2] on Helicopter/Rotorcraft develoment in Europe and US. Meanwhile, the next generation rotorcrafts, currently under development in US and Europe, have new configurations (tilt-rotor, coaxial, compound) of rotor-type vertical takeoff/landing rotorcrafts to overcome the disadvantages of traditional helicopters. For developing these new types of rotorcrafts, the upgraded conceptual design/comprehensive programs are required. In US and Europe, they are already developing new program tools with their technologies and database obtained during more than last half centuries. For us, many academia, research institutes and industrial engineers have experienced and developed core technologies on rotorcrafts (aerodynamics, structural analysis, flight dynamics, and noise analysis etc.) comparable to US and Europe during last couple of decades of developing helicopters and various configurations of rotorcrafts. In this paper, the pros and cons of conceptual design/comprehensive tools currently used in US and Europe have been summarized. Furthermore, the possibilities and problems to develope our own design and analysis tools have been studied.

• Journal of Advanced Navigation Technology
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• v.22 no.2
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• pp.76-83
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• 2018

In order to prevent overusing the fishing gear and to reduce discarded fishing gear, there is a need for a technique that can efficiently transmit the information including the type and location of the fishing gear and the user's real name to the fishing boat and the control center using IoT-based communication. In order to do this, it is necessary to be able to confirm the position information of a plurality of buoys that can be identified by the base stations on the land. In this paper, in order to service the maritime IoT communication system, we calculate the link budget between the land base station and the targets on the sea to derive the service coverage. To design a marine IoT radio network for building a fishing gear monitoring system, we calculate link budget for wireless service optimization at sea for NB-IoT using 1.8 GHz frequency band and LoRa service using 900 MHz frequency band. In addition, the link budget between the land base station and buoy, the link budget between the land base station and fishing boat are calculated and the results are analyzed.

• (The)Study of the Eastern Classic
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• no.57
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• pp.201-229
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• 2014

한국에서의 유가(儒家) 경전의 수용은 삼국시대에 시작되었으며, 이는 신라(新羅)시대 태학(太學) 교육 중의 한 과목이 "상서(?書)"였다는 "삼국사기(三國史記)"의 기록을 통해 알 수 있다. "상서(?書)"는 고대 정치제도 및 정치사상과 매우 긴밀한 관련을 갖는 경전인 까닭에 중국뿐만 아니라 한국에서도 통치자들의 시정방침(施政方針)상의 중요한 근간(根幹)이 되었다. 이러한 연유로 "상서(?書)" 연구를 통해서 경서 내용을 알게 될 뿐만 아니라 그 시대의 정치사상도 알 수 이해하게 될 것이다. 그런데 한국에 있어서 경학 연구는 중국과 달리 전통적 사서오경(四書五經) 혹은 십삼경(十三經)이 아니라 "사서삼경(四書三經)"을 중심으로 전개되었다. 또한 개별 경전에 대한 연구를 기준으로 살펴보면, "사서(四書)"의 경우, 특히 "논어(論語)"에 대한 연구가 집중적으로 이루어졌다. 삼경(三經)의 경우, "주역(周易)"이나 "시경(詩經)"은 이미 많은 연구가 이루어졌으나, 한국에서 "상서(?書)" 연구는 아직 전자만큼 활발히 이루어지지 못하고 있다. 또한 성균관대학교에 발간한 "한국경학자료집성(韓國經學資料集成)"을 살펴보면, 한국 경학 저술 총 145권 가운데 "상서(?書)" 부분이 22권을 차지하고 있다. 즉 거의 6분의 1이 "상서(?書)" 관련 저술이라고 할 수 있다. 본고는 "학술총람"과 공구서(工具書) 전자 시스템에 수록된 1901년부터 2014년 상반기에 이르기까지의 100여 년 동안 한국(韓國)에서 발표된 "상서(?書)" 관련 학술단행본 학위논문 학술지논문 등을 검토하고, 이를 통해 한국에서의 "상서(?書)"학(學) 연구(硏究)를 회고(回顧)하고 또 그 미래를 전망(展望)해 보도록 할 것이다. 전적으로 보면 한국 "상서(?書)"학 연구는 3가지를 포함한다. 첫째는 한국에서 중국 고전 "상서(?書)" 원전(原典)에 대한 탐구(探究)인데 이를 '중국 "상서(?書)" 연구' 라고 칭하였다. 둘째는 조선시대 유학자의 서경 저술을 중점 대상으로 연구하는 것으로 이를 '한국 "서경"학 연구'라고 이름 하였다. 셋째는 한국 이외 다른 나라 학자들의 조선시대 "서경" 저술에 대한 연구이다. 이상 3가지를 모두 대상으로 삼아야 온전한 한국 "상서(?書)"학 연구라고 할 수 있을 것이다. 향후의 연구 방향은 다음 네 가지로 정리할 수 있다: (1) 역본의 연구 (2)학파별 연구 (3)문헌적 연구 (4)경연과 과거시험의 각 나라 비교 연구이다. 한국 "서경"학에 대한 연구를 통해 우리는 조선시대의 사상과 문화 특히 정치사상을 파악할 수 있으며 또한 전통시대 동아시아 각국의 학문 양상까지도 인식할 수 있을 것이다. 요컨대, 아직까지 한국의 학계에서 한국 "서경"학을 중심으로 하여 이러한 측면을 밝히는 연구는 부족한 편이라고 할 수 있겠으며, 그렇기에 연구할 영역이 더욱 많은 셈이라고도 할 수 있는 것이다. 바로 이 연구영역들에 더욱 심혈을 기울여 앞으로 더 깊이 있고 폭 넓은 연구가 진행되기를 기대할 수 있게 되는 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.2
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• pp.21-34
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• 2002

In this paper we propos a new hardware architecture of modular exponentiation using a division chain method which has been proposed in (2). Modular exponentiation using the division chain is performed by receding an exponent E as a mixed form of multiplication and addition with divisors d=2 or $d=2^I +1$ and respective remainders r. This calculates the modular exponentiation in about $1.4log_2$E multiplications on average which is much less iterations than $2log_2$E of conventional Binary Method. We designed a linear systolic array multiplier with pipelining and used a horizontal projection on its data dependence graph. So, for k-bit key, two k-bit data frames can be inputted simultaneously and two modular multipliers, each consisting of k/2+3 PE(Processing Element)s, can operate in parallel to accomplish 100% throughput. We propose a new encoding scheme to represent divisors and remainders of the division chain to keep regularity of the data path. When it is synthesized to ASIC using Samsung 0.5 um CMOS standard cell library, the critical path delay is 4.24ns, and resulting performance is estimated to be abort 140 Kbps for a 1024-bit data frame at 200Mhz clock In decryption process, the speed can be enhanced to 560kbps by using CRT(Chinese Remainder Theorem). Futhermore, to satisfy real time requirements we can choose small public exponent E, such as 3,17 or $2^{16} +1$, in encryption and verification process. in which case the performance can reach 7.3Mbps.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.2
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• pp.71-78
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• 2021

In order to classify a target image in a cluster of images, the difference in brightness between the object and the background is mainly concerned, which is not easy to classify if the shape of the object is blurred and the sharpness is low. However, there are a few studies attempted to solve these problems, and there is still the problem of not properly distinguishing between wrong pattern and right pattern images when applied to actual data analysis. In this paper, we propose an algorithm that classifies 3D films into sharp and blurry using the width of the pixel values histogram. This algorithm determines the width of the right and wrong images based on the width of the pixel distributions. The larger the width histogram, the sharp the image, while the shorter the width histogram the blurry the image. Experiments show that the proposed algorithm reflects that the characteristics of these histograms allows classification of all wrong images and right images. To determine the reliability and validity of the proposed algorithm, we compare the results with the other obtained from preprocessed 3D films. We then trained the 3D films using few-shot learning algorithm for accurate classification. The experiments verify that the proposed algorithm can perform higher without complicated computations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.127-133
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• 2021

A recent study of people physically falling focused on analyzing the motions of the falls using a recurrent neural network (RNN) and a deep learning approach to get good results from detecting 2D human poses from a single color image. In this paper, we investigate a detection method for estimating the position of the head and shoulder keypoints and the acceleration of positional change using the skeletal keypoints information extracted using PoseNet from an image obtained with a low-cost 2D RGB camera, increasing the accuracy of judgments about the falls. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion-analysis method. A public data set was used to extract human skeletal features, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than a conventional, primitive skeletal data-use method.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.185-192
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• 2021

Various methods have been proposed to determine the defect detection of welding bead, and recently sensor data and image data inspection have been steadily announced. There are advantages that sensor data inspection is highly accurate, and two-dimensional-based image data inspection is able to determine the position of the welding bead. However, when analyzing only with sensor data, it is difficult to determine whether the welding has been performed at the correct position. On the other hand, the image data inspection does not have high accuracy due to noise and measurement errors. In this paper, we propose a method that can complement the shortcomings of each inspection method and increase its advantages to improve accuracy and speed up inspection by fusing sensor data inspection which are average current, average volt, and mixed gas data, and image data inspection methods and is implemented as software. In addition, it is intended to allow users to conveniently and intuitively analyze and grasp the results by performing analysis using a graphical user interface(GUI) and checking the data and inspection results used for the inspection. Sensor inspection is performed using the characteristics of each sensor data, and image data is inspected by applying a morphology geodesic active contour algorithm. The experimental results showed 98% accuracy, and when performing the inspection on the four image data, and sensor data the inspection time was about 1.9 seconds, indicating the performance of software that can be used as a real-time inspector in the welding process.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.105-115
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• 2022

This study was attempted to suggest a direction for future research on good death by analyzing and synthesizing research trends on good death. For this purpose, 66 articles related to good death published in academic journals in Korea from 2011 to 2021 were analyzed based on the analysis frame of references. As a result, the year with the most good death studies was 2019 (18.2%). In the analysis by research design, 52 articles (78.8%) were the most quantitative studies, and 36 studies (54.5%) were survey studies. In the field of research, nursing studies were the most researched with 47 articles (71.2%), but multidisciplinary studies were three articles (4.5%). The subjects of the good death study were mainly the aged in the community and nursing students, each of which was 13 (19.7%), but the studies for patients were published only four articles (6.1%). The most used tool was the perception of a good death and conducted in in 38 articles (73.1%). The main research variables were the the perception of good death and hospice palliative and end-of-life care, and family support was used as mediating variables. Therefore, not only multidisciplinary research but also development research for vaious good death instruments may be suggested to comprehensively understand good death.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.29-35
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• 2022

This paper proposes a fuel cell education framework installed on a Metaverse environment, which is to reduce the burden of education costs and improve the effect of education or learning. This Meta-Fuel cell platform utilizes the Unity 3D Web and enables not only theoretical education but also hands-on training. The platform was designed and developed to accommodate a variety of unit education contents, such as ppt documents, videos, etc. The platform, therdore, integrates ppt and video demonstrations for theoretical education, as well as software content "STACK-Up" for hands-on training. Theoretical education section provides specialized liberal arts knowledge on hydrogen, including renewable energy, hydrogen economy, and fuel cells. The software "STACK-Up" provides a hands-on practice on assembling the stack parts. Stack is the very core component of fuel cells. The Meta-Fuelcell platform improves the limitations of face-to-face education. It provides educators with the opportunities of non-face-to-face education without restrictions such as educational place, time, and occupancy. On the other hand, learners can choose educational themes, order, etc. It provides educators and learners with interesting experiences to be active in the metaverse space. This platform is being applied experimentally to a education project which is to develop advanced manpower in the fuel cell industry. Its improvement is in progress.