• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.66-80
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• 2012

It is necessary to normalize spectral image values derived from multi-temporal satellite data to a common scale in order to apply remote sensing methods for change detection, disaster mapping, crop monitoring and etc. There are two main approaches: absolute radiometric normalization and relative radiometric normalization. This study focuses on the multi-temporal satellite image processing by the use of relative radiometric normalization. Three scenes of KOMPSAT-2 imagery were processed using the Multivariate Alteration Detection(MAD) method, which has a particular advantage of selecting PIFs(Pseudo Invariant Features) automatically by canonical correlation analysis. The scenes were then applied to detect disaster areas over Sendai, Japan, which was hit by a tsunami on 11 March 2011. The case study showed that the automatic extraction of changed areas after the tsunami using relatively normalized satellite data via the MAD method was done within a high accuracy level. In addition, the relative normalization of multi-temporal satellite imagery produced better results to rapidly map disaster-affected areas with an increased confidence level.

• Journal of Oral Medicine and Pain
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• v.41 no.3
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• pp.126-132
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• 2016

Purpose: The aims of this study were to analyze the association between inflammatory cytokine and obstructive sleep apnea (OSA), and to evaluate treatment outcome and changes of plasma inflammatory cytokine levels after oral appliance therapy. Methods: Twenty-seven subjects who visited Department of Oral Medicine in Seoul National University Dental Hospital were performed nocturnal polysomnography and analyzed plasma C-reactive protein (CRP), interleukin (IL)-$1{\beta}$, IL-6, IL-10, and tumor necrosis factor (TNF)-${\alpha}$ levels. Each subject was evaluated with Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). The subjects were classified into 12 OSA patients (apnea-hypopnea index [AHI] >5) and 15 control (AHI ${\leq}5$) groups. The OSA group was treated with mandibular advancement device (MAD) for 3 months and re-evaluated nocturnal polysomnography and plasma inflammatory cytokine levels. Results: Plasma TNF-${\alpha}$, IL-10, and IL-6 levels were significantly higher in OSA patients compared to controls. Total AHI showed significant positive correlations with plasma IL-6 and TNF-${\alpha}$ levels. Percentage time of $SpO_2$ <90 and lowest $SpO_2$ were significantly correlated with plasma TNF-${\alpha}$ level. ESS showed significant positive correlation with plasma IL-10 level. Total AHI, percentage time of $SpO_2$ <90, lowest $SpO_2$, and mean $SpO_2$ were significantly improved after the MAD therapy. Plasma TNF-${\alpha}$ level was significantly decreased after MAD therapy. Conclusions: We suggest that MAD therapy is an effective treatment modality for patients with OSA and can decrease plasma cytokine level.

• Journal of Science and Technology Studies
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• v.8 no.2
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• pp.27-56
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• 2008

The controversy over the mad cow disease in Korea can be understood as a demonstration of complex and skeptical public sentiments toward the government that were all mixed with expectations, demands, hope and mistrust. The governments decision to resume the import of American beef turned such expectations into mistrust and public hope into nationwide resistance expressed in the form of candlelight vigils. This phenomenon can not be simply explained as a fear of risks. Concerns over mad cow disease were a trigger but they were riot sufficient cause to explain the nationwide controversy involving all the Koreans. It was mad cow disease that triggered a sharp confrontation between the government trying to stick to its decision to resume the import of American beef and the opponents who were not convinced by the government. In fact, this is not simply an issue of a disease. It is rather a complex issue of the acceptance of risks, the consistency of the government policy, trust in the government, and the public consensus on the government policy. In this context, this study analyzes the controversy over the mad cow disease from the perspectives of risk management, public policy-making, and public trust and social consensus-building.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.2
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• pp.51.2-51.2
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• 2010

We have investigated 63 intense geomagnetic storms (Dst $\leq$ -100 nT) that occurred from 1998 to 2006. Using these events, we compared Dst forecast models: Burton et al. (1975), Fenrich and Luhmann (1998), O'Brien and McPherron (2000a), Wang et al. (2003), and Temerin and Li (2002, 2006) models. For comparison, we examined a linear correlation coefficient, RMS error, the difference of Dst minimum value (${\Delta}$peak), and the difference of Dst minimum time (${\Delta}$peak_time) between the observed and the predicted during geomagnetic storm period. As a result, we found that Temerin and Li model is mostly much better than other models. The model produces a linear correlation coefficient of 0.94, a RMS (Root Mean Square) error of 14.89 nT, a MAD (Mean Absolute Deviation) of ${\Delta}$peak of 12.54 nT, and a MAD of ${\Delta}$peak_time of 1.44 hour. Also, we classified storm events as five groups according to their interplanetary origin structures: 17 sMC events (IP shock and MC), 18 SH events (sheath field), 10 SH+MC events (Sheath field and MC), 8 CIR events, and 10 nonMC events (non-MC type ICME). We found that Temerin and Li model is also best for all structures. The RMS error and MAD of ${\Delta}$peak of their model depend on their associated interplanetary structures like; 19.1 nT and 16.7 nT for sMC, 12.5 nT and 7.8 nT for SH, 17.6 nT and 15.8 nT for SH+MC, 11.8 nT and 8.6 nT for CIR, and 11.9 nT and 10.5 nT for nonMC. One interesting thing is that MC-associated storms produce larger errors than the other-associated ones. Especially, the values of RMS error and MAD of ${\Delta}$peak of SH structure of Temerin and Li model are very lower than those of other models.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1086-1092
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• 2012

In this paper, we propose the rate control scheme reducing frame skipping at low bit-rate. As the method considering lossy parts in the compressing process at the existing scheme, the proposed scheme is improved by subtracting the converted bits from the target bit-rate of the current frame. The converted bits are the value resulted from multiplying the ratio of the current frame MAD to the previous frame MAD by the compressed bits changed from the remaining values after compressing the previous frame.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.245-254
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• 2006

In this work, a new rate control algorithm for transmission of H.264/AVC video bit stream through CBR(constant bit rate) channel is proposed. The proposed algorithm predicts target bit rate and MAD(mean of absolute difference) for current frame considering image complexity variance between neighboring backward and current images. In details, respective linear regression analysis for MAD and encoded bit rate against image complexity variance produce correlation parameters. Additionally, it uses frame skip technique to maintain bit stream within a manageable range and protect buffer from overflow or underflow. Implementation and experimental results show that the proposed algorithm can provide accurate bit allocation, and can effectively visual degradation after scene changes. Also our proposed algorithm encodes the video sequences with less frame skipping compared to the existing rate control for H.264/AVC.

• Korean Journal of Veterinary Research
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• v.40 no.1
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• pp.187-195
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• 2000

The ejaculates from 67 HanWoo prove bull, bred in Livestock Improvement Main center of NLCF, were used to determine the correlation between the sperm motional characteristics and the pregnancy rate of artificial insemination(AI). The motional characteristics of sperm were analysed by Computer-assisted sperm analyser(CASA), thereafter inseminated equally 1,256 heads of cow regarding to parity, age, and live weight. There were no significant difference(p>0.05) in the pregnancy rate according to year from 1996 to 1998, but the LIN, ALH, STR, BCF, MAD and WOB of sperm in the year 1997, were highest pregnancy rate, were higher than those of sperm in the year 1998, were lowest pregnancy rate(p<0.05). The semen had no significant effect on pregnancy rate according to season(p>0.05). However spring, had a little higher pregnancy rate than that of autumn, were higher than autumn in VSL, VAP, LIN, ALH, BCF, MAD and WOB, but in DNM. The pregnancy rates of spring in the year 1996 and 1997 were higher than that of autumn in the year 1998(p<0.05). The spring in the year 1997, highest in pregnancy rate, were higher than the autumn in the year 1998 in VSL, VAP, LIN, STR, BCF, MAD and WOB, but in DNM(p<0.05). There were no the motion characteristic of sperm that was significant correlate with pregnancy rate of AI as the semen were analysed before artificial insemination and those, had some degree characteristics in motility, viability and abnormality, were used to AI. However there were a tendency that the higher the VSL, VAP, ALH, LIN, STR, BCF, MAD and WOB and the lower the DNM were, the higher the pregnancy rate of AI were.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.3
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• pp.158-163
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• 2012

This paper proposes an FHIDS(Fuzzy logic based Hybrid Intrusion Detection System) design that detects anomaly and misuse attacks by using a Naive Bayesian algorithm, Data Mining, and Fuzzy Logic. The NB-AAD(Naive Bayesian based Anomaly Attack Detection) technique using a Naive Bayesian algorithm within the FHIDS detects anomaly attacks. The DM-MAD(Data Mining based Misuse Attack Detection) technique using Data Mining within it analyzes the correlation rules among packets and detects new attacks or transformed attacks by generating the new rule-based patterns or by extracting the transformed rule-based patterns. The FLD(Fuzzy Logic based Decision) technique within it judges the attacks by using the result of the NB-AAD and DM-MAD. Therefore, the FHIDS is the hybrid attack detection system that improves a transformed attack detection ratio, and reduces False Positive ratio by making it possible to detect anomaly and misuse attacks.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.6
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• pp.433-439
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• 2022

Muscle fatigue models to predict maximum endurance time (MET) are broadly classified as either 'empirical' or 'theoretical'. Empirical models are based on fitting experimental data and theoretical models on mathematical representations of physiological process. This paper examines the effectiveness of dynamic muscle fatigue model as theoretical model to predict maximum endurance time during forearm isometric contraction. Forty volunteers (20 females, 20 males) are participated in this study. Empirical models (exponential model and power model) and theoretical model (dynamic muscle fatigue model) are used to compare. Mean absolute deviation (MAD), correlation coefficient (r) and intraclass correlation (ICC) are calculated between theoretical model and empirical models. MAD are below 3.5%p, r and ICC are above 0.93 and 0.87, respectively. This results demonstrate that dynamic muscle fatigue model as theoretical model is valid to predict MET.

• Journal of Oral Medicine and Pain
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• v.33 no.4
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• pp.305-316
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• 2008

The mandibular advancement device(MAD) has been used to help manage snoring and obstructive sleep apnea. The aims of this study were to specify the demographic and clinical characteristics of the patients receiving long-term treatment with MAD and to quantify the compliance with and side effects of the use of the device. Of 103 patients who were treated with MAD for at least one full year after delivery date, 49 were able to be contacted with telephone and complete follow-up questionnaires were obtainable. They were telephoned to determine whether they were still using the device. If not, they were asked when and why they stopped using it. Patients were also asked how much effectiveness of the MAD in decreasing snoring and how much they and their bed-partners were satisfied with the MAD therapy. The initial respiratory disturbance indices and pre-treatment snoring frequency and intensity were obtained from the medical records of initial visit. All the data were compared between users and nonusers. The results were as follows: 1. Of 49 patients 25 are still using the device, but 24 stopped using it. Among nonusers nobody stopped wearing the device within first 1 month, but 37.5% of nonusers stopped wearing it in the following 6 months, and another 4.2% before the end of the first year. 2. The one-year compliance of the MAD therapy was 79.59%. 3. There were no significant differences in mean age, mean body mass index, and gender distribution between users group and nonusers group. 4. There was no significant difference in mean respiratory disturbance index at initial visit between users group and nonusers group. 5. There was no significant difference in pre-treatment snoring frequency and intensity between users group and nonusers group. 6. The degree of decrease in snoring with use of MAD was significantly higher in the users when compared to nonusers. 7. Patient's overall satisfaction with treatment outcome was significantly higher in the users when compared to nonusers. 8. Bed partner's satisfaction with treatment outcome tended to be higher in the users when compared to nonusers. 9. The most frequent reasons why patients discontinued wearing the MAD were: jaw pain(25%), dental pain(20.83%), broken appliance(20.83%), hassle using(16.67%), lost weight(8.3%), dental work(8.3%), no or little effect(4.17%), sleep disturbance(4.27).