• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.153-159
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• 2005

Recently, various novel numerical models based on Navier-Stokes equation rave been developed for calculating wave motions in the sea with coastal or ocean structures. Among those models, Volume Of Fluid (VOF) method might be the most popular one, and it has been used for numerical simulations of wave motions including complicated phenomena of wave breakings. VOF method, however, needs enormous computation time and large computational storage memories in general, thus it is practically difficult to use VOF method for calculations in the case of random waves because long and stable computation ( e.g. for more than 100 significant wave periods) is required to obtain statistically meaningful results. On the other hand of the wave motion is potential motion, Boundary Element Method (BEM), which is a much faster and more accurate method than VOF method, am be effectively used. The aim of this study is to develop a new efficient model applicable to calculations of wave motion and/or wave-structure interactions under random waves. To achieve this, a strictly combined BEM-VOF model has been developed by making the best use of both methods' merits; VOF method is used in a restricted fluid domain around a structure where complicated phenomena of wave breakings may exist, and BEM is used in the other domains far from the disturbance where the wave motion may be assumed to be potential. The verification of the model was performed with numerical results for Stokes'5th order wave propagation and a random wave propagation.

• Korean Journal of Optics and Photonics
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• v.33 no.4
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• pp.167-176
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• 2022

Adaptive optics (AO) systems compensate for atmospheric disturbance, especially phase distortion, by introducing counter-wavefront deformation calculated from real-time wavefront sensing or prediction. Because AO system implementations are time-consuming and costly, it is highly desirable to estimate the system's performance during the development of the AO system or its parts. Among several techniques, we mostly apply statistical analysis, computational simulation, and optical-bench tests. Statistical analysis estimates performance based on the sum of performance variances due to all design parameters, but ignores any correlation between them. Computational simulation models every part of an adaptive optics system, including atmospheric disturbance and a closed loop between wavefront sensor and deformable mirror, as close as possible to reality, but there are still some differences between simulation models and reality. The optical-bench test implements an almost identical AO system on an optical bench, to confirm the predictions of the previous methods. We are currently developing an AO system for a 1.6-m ground telescope using a deformable mirror that was recently developed in South Korea. This paper reports the results of the statistical analysis and computer simulation for the system's design and confirmation. For the analysis, we apply the Strehl ratio as the performance criterion, and the median seeing conditions at the Bohyun observatory in Korea. The statistical analysis predicts a Strehl ratio of 0.31. The simulation method similarly reports a slightly larger value of 0.32. During the study, the simulation method exhibits run-to-run variation due to the random nature of atmospheric disturbance, which converges when the simulation time is longer than 0.9 seconds, i.e., approximately 240 times the critical time constant of the applied atmospheric disturbance.

• Korean Journal of Plant Resources
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• v.25 no.5
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• pp.550-560
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• 2012

The aim of this study is to research spatial diffusion, a condition for spread of Ailanthus altissima, and conduct flora analysis to provide useful information for management of it. Three research spots where the community dominance value was found to be high and habitat was homogeneous according to a 2010 in-depth species study were selected, and census was conducted using a line-transect method. The diffusion area included 1,435 $m^2$ in Yangpyeong, 1,118 $m^2$ in Gimcheon and 760 $m^2$ in Sancheong, in order of increasing size, and a total of 510 trees were found to be randomly diffused in space. An average of 83.2% of Ailanthus altissima were found to be included in DBH classes I (1.0-3.4 cm) and II (3.5-6.4 cm), showing that young trees were dominant in Ailanthus altissima communities and there was an age diffusion pattern according to degree of disturbance in habitats. A total of 41 families 75 genera and 91 species of flora made up the list, and Therophytes were most widely found in all of the three areas. This shows that habitats in these areas have recently been disturbed. It was evaluated that elimination of roadside population and mountainous area population was necessary to prevent diffusion of Ailanthus altissima.

• Geomechanics and Engineering
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• v.14 no.6
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• pp.589-600
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• 2018

For foundations in permafrost regions, the displacement characteristics are uncertain because of the randomness of temperature characteristics and mechanical parameters, which make the structural system have an unexpected deviation and unpredictability. It will affect the safety of design and construction. In this paper, we consider the randomness of temperature characteristics and mechanical parameters. A stochastic analysis model for the uncertain displacement characteristic of foundations is presented, and the stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. The stochastic displacement fields of an embankment in a permafrost region are obtained and analyzed by Neumann stochastic finite element method (NSFEM). The results provide a new way to predict the deformation characteristics of foundations in permafrost regions, and it shows that the stochastic temperature has a different influence on the stochastic lateral displacement and vertical displacement. Construction disturbance and climate warming lead to three different stages for the mean settlement of characteristic points. For the stochastic settlement characteristic, the standard deviation increases with time, which imply that the results of conventional deterministic analysis may be far from the true value. These results can improve our understanding of the stochastic deformation fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.299-305
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• 2015

Global environmental concerns and the ever increasing need of energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Distributed electricity generation is a suitable option for sustainable development thanks to the load management benefits and the opportunity to provide electricity to remote areas. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to the random and intermittent nature of solar source, PV plants require the adoption of an energy storage and management system to compensate fluctuations and to meet the energy demand during night hours. This paper presents an efficient, economic and technical model for the design of a MPPT based grid connected PV with battery storage and management system. This system satisfies the energy demand through the PV based battery energy storage system. The aim is to present PV-BES system design and management strategy to maximize the system performance and economic profitability. PV-BES (photovoltaic based battery energy storage) system is operated in different modes to verify the system feasibility. In case of excess energy (mode 1), Li-ion batteries are charged using CC-CV mechanism effectively controlled by fuzzy logic based PID control system whereas during the time of insufficient power from PV system (mode 2), batteries are used as backup to compensate the power shortage at load and likewise other modes for different scenarios. This operational mode change in PV-BES system is implemented by State flow chart technique based on SOC, DC bus voltages and solar Irradiance. Performance of the proposed PV-BES system is verified by some simulations study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.8
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• pp.1-10
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• 2008

In this paper, we describe a design of a 128bit MRAM based on a new switching architecture which is Local Field Switching(LFS). LFS uses a local magnetic field generated by the current flowing through an MTJ. This mode reduces the writing current since small current can induce large magnetic field because of close distance between MTJ and the current. It also improves the cell selectivity over using conventional MTJ architecture because it doesn't need a digit line for writing. The MRAM has 1-Transistor 1-Magnetic Tunnel Junction (IT-1MTJ) memory cell structure and uses a bidirectional write driver, a mid-point reference cell block and a current mode sense amplifier. CMOS emulation cell is adopted as an LFS-MTJ cell to verify the operation of the circuit without the MTJ process. The memory circuit is fabricated using a $0.18{\mu}m$ CMOS technology with six layers o) metal and tested on custom board.

• Journal of Korea Multimedia Society
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• v.21 no.4
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• pp.450-463
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• 2018

Sound based machine fault diagnosis is the process consisting of detecting automatically the damages that affect the machines by analyzing the sounds they produce during their operating time. The collected sounds being inevitably corrupted by random disturbance, the most important part of the diagnosis consists of discovering the hidden elements inside the data that can reveal the faulty patterns. This paper presents a novel feature extraction methodology that combines various digital signal processing and pattern recognition methods for the analysis of the sounds produced by the drills. Using the Fourier analysis, the magnitude spectrum of the sounds are extracted, converted into two-dimensional vectors and uniformly normalized in such a way that they can be represented as 8-bit grayscale images. Histogram equalization is then performed over the obtained images in order to adjust their very poor contrast. The obtained contrast enhanced images will be used as the features of our diagnosis system. Finally, principal component analysis is performed over the image features for reducing their dimensions and a nonlinear classifier is adopted to produce the final response. Unlike the conventional features, the results demonstrate that the proposed feature extraction method manages to capture the hidden health patterns of the sound.

• Journal of Korean Academy of Dental Administration
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• v.11 no.1
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• pp.78-88
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• 2023

This study aimed to analyze the correlation between working from home and sleep disorders among domestic workers using data from the 5th Working Environment Survey in 2017. Out of the total 30,108 wage workers, 818 employees work from home and 4,090 work in an office. A random sample of 1:5 pairs, considering gender and occupational group, was selected from these employees as the study subjects. The analysis included personal characteristics, occupational characteristics, work-from-home arrangements, and sleep disorders. Age, education, employment status, years in the workforce, weekly working hours, work-life balance, self-perceived health, depression, and anxiety were all adjusted as potential confounding variables. Conditional logistic regression analysis was conducted to examine the relationship between working from home (independent variable) and sleep disorder (dependent variable). This analysis aimed to analyze the correlation between working from home and sleep disorder. The analysis revealed that working from home was associated with sleep onset latency disorder OR=3.23 (95% CI=2.67~3.91), sleep maintenance disorder OR=3.67 (95% CI=3.02~4.45), and non-restorative sleep OR=3.01 (95% CI=2.46~3.67), which showed a statistically significant relationship with all three types of sleep disorders. Factors influencing the correlation between working from home and sleep disorders included work-life balance, social isolation, and anxiety.

• Korean Journal of Veterinary Research
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• v.16 no.1
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• pp.77-96
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• 1976

In order to investigate the effects and acting mechanism on ovaries, thyroid glands and hypophyses of rabbits in short term administration of sulfadimethoxine (SDM) as medical dose, a total of 90 virgin albino rabbits (mean body weight, 1,362g) were selected at random and alloted to two groups. Rabbits in one group served as controls and the others were administered SDM of 50 mg/kg/day for 5 weeks, and then reared without medication for 4 weeks. Pathological changes of the three organs were observed each week for 9 weeks and the results obtained were summarized as follows: 1. Mean body weights of both groups manifested slow increasing tendency but mean hypophysis weights fluctuated throughout the experimental term. Mean ovary weights of experiments were decreased significantly from the 3rd to 6th week but mean thyroid weights of experiments were increased significantly from the 1st to 6th week compared with those of controls. 2. Many ovarian follicles of each developing stage showed follicular atresia accompanying atrophy or necrosis of oocytes and of disintegrated follicular cells. Theca interna cells and sudanophilic interstitial cells showed atrophy and diminished sudanophilic granules and also liquor folliculi were diminished. These changes icreased from the 1st week, remaining so for 5 weeks and returned to normal status in the 8th or 9th week. 3. The thyroid gland showed a typical hyperplastic goiter. Hypertrophic and hyperplastic epithelia follicular manifested cuboidal or columnar form showing tiny or small vacuoles in cytoplasm. The follicles showed atrophy and decreasing colloidal materials. Necrotic and regenerative changes were also present. The interfollicular vessels showed congestion and hemorrhage. These changes increased from the 1st week, remaining so for 5 weeks and returned to normal status in the 9th week. 4. The rates of differential cell counts of hypophyses revealed increase of basophils (gonadotrophs and thyrotrophs) and decrease of chromophobes. Basophils which had diminished granules stainable with HE, PAS and AF revealed hypertrophy, hyperplasia, and increasing of tiny or small vacuoles in cytoplasm. These changes increased from the 1st week, remaining so for 5 weeks and returned to normal status in the 8th or 9th week. As summarized above histologically, administration of SDM led thyrotrophs and gonadotrophs of pituitary glands to hyperactivity but revealed retrogressive and compensatory changes with functional disturbance in ovaries and thyroid glands. These changes were transitional and attributed to direct actions of the drugs on the ovaries and thyroid glands.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.4
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• pp.137-144
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• 2020

Delirium is among the most common mental disorders encountered in patients with a temporary cognitive impairment such as consciousness disorder, attention disorder, and poor speech, particularly among those who are older. Delirium is distressing for patients and families, can interfere with the management of symptoms such as pain, and is associated with increased elderly mortality. The purpose of this paper is to generate useful clinical knowledge that can be used to distinguish the outcomes of patients with delirium in long-term care facilities. For this purpose, we extracted the clinical classification knowledge associated with delirium using a local covering rule acquisition approach with the rough lower approximation region. The clinical applicability of the proposed method was verified using data collected from a prospective cohort study. From the results of this study, we found six useful clinical pieces of evidence that the duration of delirium could more than 12 days. Also, we confirmed eight factors such as BMI, Charlson Comorbidity Index, hospitalization path, nutrition deficiency, infection, sleep disturbance, bed scores, and diaper use are important in distinguishing the outcomes of delirium patients. The classification performance of the proposed method was verified by comparison with three benchmarking models, ANN, SVM with RBF kernel, and Random Forest, using a statistical five-fold cross-validation method. The proposed method showed an improved average performance of 0.6% and 2.7% in both accuracy and AUC criteria when compared with the SVM model with the highest classification performance of the three models respectively.