• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.163-168
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• 2024

Technologies that are considered to be a part of the fourth industrial revolution include holograms, augmented reality, and virtual reality. As technology advances, the industry's scale is growing quickly as well. While the development of technology for direct use is moving slowly, awareness of floating holograms-which are considered realistic content-is growing as the industry's scale and rate of technological advancement continue to accelerate. Specifically, holograms that have been incorporated into museums and exhibition spaces are static forms of content that viewers gaze at inertly. Additionally, their use in educational fields is very passive and has a low rate of utilization. Therefore, in order to improve usability from the viewpoint of viewers of realistic content, such as exhibition halls or museums, we introduce realistic content control technology in this study using a machine learning framework to recognize hands. It is anticipated that using the study's findings, manipulating realistic content independently will enhance comprehension of objects presented as realistic content and boost its applicability in the industrial and educational domains.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.27-30
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• 2024

A digital platform government without boundaries between the public and private sectors and between government ministries is impossible without national data management. Logical verification was carried out in this study following the definition of the national data management system's purpose, elements, and mode of implementation. Specifically, it was broken down into three dimensions in an effort to review different aspects: the management subject, the management method, and the designation target of national data. Finally, a description of the national master data management system and organization was given. The direction for the implementation of the digital platform government will be presented by this study.

• Journal of Construction Engineering and Project Management
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• v.4 no.2
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• pp.31-40
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• 2014

The management of vehicular supply of "perishable" construction material, such as concrete mixes, faces a series of uncertainties such as weather, daily traffic patterns and accidents. Presented in this paper is a logistics control model for managing a hauling fleet with interrelated processes at both ends and queue capacities. Discrete event simulation is used to model the complex interactions of production units and the randomness of the real world. Two alternative strategies for ready mix concrete delivery, with and without an off-site waiting queue, are studied to compare supply performance. Secondly, the paper discusses the effect of an agent-based GPS tracking system providing real-time travel data that lessens the uncertainty of trucking time. The results show that the combination of GPS information with off-site queuing reduces productivity loss and process wastes of concrete placement as well as the idleness of supply trucks when crew or pump experience an unexpected stoppage.

• The Bulletin of The Korean Astronomical Society
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• v.40 no.1
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• pp.82.3-83
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• 2015

비축 반사경의 DTM (Diamond Turning Machine) 가공을 하기 전에는 시간 및 비용의 절감을 위해 CNC(Computerized Numerically Controlled Machine Tools)를 이용하여 비축면의 곡률반경과 가장 유사한 형태의 구면으로 1차 가공 후 3축 이상을 제어할 수 있는 MC (Machining Center)를 이용하여 근사한 비축면을 먼저 가공한다. 이후 DTM으로 광학계에서 요구하는 형상 정밀도 및 표면 조도를 만족하는 비축면을 완성한다. 하지만 비축면을 가공하는 경우, 일반적인 축 대칭 광학계와 달리 가공장비에 장착된 기상계측기를 사용할 수 없기 때문에 외부 장비를 이용하여 반사경 표면을 측정해야한다. 이때 측정과 가공 단계 사이에서 정렬오차가 발생하여 반사경의 형상 정밀도 향상을 위한 보상가공에 어려움이 있다. 본 연구에서는 비축면 반사경의 가공과 측정 과정 사이에 발생하는 정렬오차를 최소화 할 수 있는 DTM 가공용 지그를 설계 및 제작하였다. 또, DTM으로 가공한 반사경의 측정값과 설계값을 비교하여 알루미늄 반사경의 광학 성능을 평가하였다. 이러한 성능 평가 결과는 비축면 반사경의 형상 보상가공을 위한 모델링 방법을 고안하는데에 있어 핵심 자료가 될 것이다.

• Korean Journal of Mathematics
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• v.19 no.2
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• pp.181-189
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• 2011

Let G be a group and X be a nonempty set and H be a subgroup of G. For a given ${\phi}_G\;:\;G{\times}X{\rightarrow}X$, a group action of G on X, we define ${\phi}_H\;:\;H{\times}X{\rightarrow}X$, a subgroup action of H on X, by ${\phi}_H(h,x)={\phi}_G(h,x)$ for all $(h,x){\in}H{\times}X$. In this paper, by considering a subgroup action of H on X, we have some results as follows: (1) If H,K are two normal subgroups of G such that $H{\subseteq}K{\subseteq}G$, then for any $x{\in}X$ ($orb_{{\phi}_G}(x)\;:\;orb_{{\phi}_H}(x)$) = ($orb_{{\phi}_G}(x)\;:\;orb_{{\phi}_K}(x)$) = ($orb_{{\phi}_K}(x)\;:\;orb_{{\phi}_H}(x)$); additionally, in case of $K{\cap}stab_{{\phi}_G}(x)$ = {1}, if ($orb_{{\phi}_G}(x)\;:\;orb_{{\phi}H}(x)$) and ($orb_{{\phi}_K}(x)\;:\;orb_{{\phi}_H}(x)$) are both finite, then ($orb_{{\phi}_G}(x)\;:\;orb_{{\phi}_H}(x)$) is finite; (2) If H is a cyclic subgroup of G and $stab_{{\phi}_H}(x){\neq}$ {1} for some $x{\in}X$, then $orb_{{\phi}_H}(x)$ is finite.

• Bulletin of the Korean Chemical Society
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• v.35 no.5
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• pp.1409-1412
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• 2014

Sex hormones are important metabolites in vertebrates' development and reproduction. For rapid screening sex hormones, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) is one of the promising analytical platforms, but MALDI MS faces many challenges in detecting steroids such as low ionization efficiency and matrix background interference. One potential strategy to overcome matrix interference in the low m/z region is using a cyclodextrin (CD)-supported matrix for steroid analysis since CD-supported matrixes are known to effectively suppress matrix-related ion signals. In this study, we aimed to find the optimal CD-supported matrix for the analysis of the nonderivatized sex steroids. Our results showed that the ${\alpha}CD$-supported 2,5-dihydroxybenzoic acid (DHB) matrix efficiently ionized all three major classes of sex hormones, estrogens, androgens, and progestagens, with low or no matrix background and also with high sensitivity. In addition, the ${\alpha}CD$-supported DHB matrix mainly generated molecular ions or protonated ions of sex hormones, and this enabled us to obtain information-rich tandem mass spectra which potentially lead to unambiguous identification of steroid species from complex metabolite mixtures.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.6
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• pp.681-689
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• 2016

In the direction and location finding field of application, AOA, TDOA and FDOA, etc. are used to improve the performance of geolocation. But, these methods cause some limitations such as the calibrations for phase and amplitude matching and precise time synchronization among receiving channels. In this paper, We suggest a method for generating FDOA using rotating antenna and the geolocation of stationary emitter using two receivers in one platform for minimizing the limitations. We present performance of simulation results and test results of the FDOA geolocation system. The direction finding errors of the system are less than $0.1^{\circ}$ rms and the distance errors are less than 3 % compared with the practical distance.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.3 no.2
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• pp.54-58
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• 2017

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS) is one of the powerful methods that enable analysis of small molecules as well as large molecules up to about 500,000 Da without severe fragmentation. MALDI-TOF MS, thus, has been a very useful an analytical tool for the confirmation of synthetic molecules, probing PTMs, and identifying structures of a given protein. In recent nuclear medicine, MALDI-TOF MS liner ion mode helps researcher calculate the average number of chelator(or linkage) per an antibody conjugate, such as DOTA-(or DFO-) trastuzumab for labeling a medical radioisotope. This simple technique can be utilized to improve the labeling method and control the quality at the development of antibody-based radiopharmaceuticals, which is very effected to diagnosis and therapy for in vivo tumor cells, with radioisotopes like $^{89}Zr$, $^{64}Cu$, and 177Lu. To minimize the error, MALDI-TOF MS measurement is repeatedly performed for each sample in this study, and external calibration is carried out after data collection.

• The Journal of Industrial Distribution & Business
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• v.10 no.2
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• pp.17-23
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• 2019

Purpose - This study aims to clarify the impact of smart health gadgets (specfically, smart watches/sports wristbands) on promoting healthy behavior. It also aims to understand the use and characteristics of the devices, to explore the relationship between device factors and factors that affect healthy behavior, and to discuss the development of health promotion. Research, design, data, and methodology - Smart device users were investigated through a random sampling method of 185 respondents, including all ages and all levels of occupation, education, and income. The SmartPLS 3.0 software enabled the path analysis and the descriptive statistical analysis; the theoretical model was evaluated for the parameter analysis. Results - The size and path of each factor impacting health promoting behavior were ascertained. The objective factors that attract users to the smart wristband were investigated as well as the methods by which the device and the HPM are bound to each other and the correlation factors to seek out the closest relationship. Conclusions - According to the analysis, the real-time smart watch/sports wristband exerts a positive impact on one's health promoting behavior. Health awareness is increasingly promoted in the process of using the device, and the impact of health awareness and self-efficacy effects on healthy behavior is considerable.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.132-132
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• 2015

Virtual metrology (VM) model based on plasma information (PI) parameter for C4F8 plasma-assisted oxide etching processes is developed to predict and monitor the process results such as an etching rate with improved performance. To apply fault detection and classification (FDC) or advanced process control (APC) models on to the real mass production lines efficiently, high performance VM model is certainly required and principal component regression (PCR) is preferred technique for VM modeling despite this method requires many number of data set to obtain statistically guaranteed accuracy. In this study, as an effective method to include the 'good information' representing parameter into the VM model, PI parameters are introduced and applied for the etch rate prediction. By the adoption of PI parameters of b-, q-factors and surface passivation parameters as PCs into the PCR based VM model, information about the reactions in the plasma volume, surface, and sheath regions can be efficiently included into the VM model; thus, the performance of VM is secured even for insufficient data set provided cases. For mass production data of 350 wafers, developed PI based VM (PI-VM) model was satisfied required prediction accuracy of industry in C4F8 plasma-assisted oxide etching process.