• Korean Journal of Fisheries and Aquatic Sciences
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• v.27 no.1
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• pp.41-46
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• 1994

This study was undertaken to clarify the effect of killing methods on physical and rheological changes of plaice, Paralichthys olivaceus muscle at early period after death. Plaices killed by the four different methods(1. spiking at the brain instantly. 2. drowning in air. 3. dipping in 1,000ppm ethylaminobenzoate dissolved sea water as an anesthetic. 4. electrifying in sea water.) were stored at $5^{\circ}C$, and the rigor-index and breaking strength through storage were monitored. The longest onset time of rigor-mortis and full rigor was in the samples killed by dipping in sea water with dissolved anesthetic among all samples, where rigor-mortis began at 20hrs after killing and maximum tension was attained after 56hrs. However, in the cases of plaice electrified in sea water or drowned in air, the onset of rigor-mortis began just after killing and maximum tensions were attained after 9hrs and 13hrs, respectively. The level of breaking strength in the muscle of fish killed by spiking the brain instantly was $950.30{\pm}50.23g$, immediately after killing. The value and time reached around the maximum breaking strength for each of the samples were $1,230.60{\pm}30.32g$ and Ohr (immediately after killing) for samples killed by electrifying in sea water, $1,235.83{\pm}35.37g$ and 2.5hrs for drowning samples, $1,186.29{\pm}55.90g$ and 10hrs for spiking samples, and $1,189.67{\pm}50.32g$ and 15hrs for samples dipped in anesthetic, respectively. From the results above, it could be concluded that electrification in sea water is the most effective method in accelerating rigor-mortis and shortening times of reaching the maximum breaking strength of fresh plaice flesh of all the killing methods at early periods after death, whereas dipping in sea water treated with anesthetic was the most effective way in delaying those changes.

• Journal of Environmental Impact Assessment
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• v.26 no.6
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• pp.524-537
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• 2017

Post-Environmental impact investigation(Post-EII) plays an important role in investigating and reducing the environmental impacts of construction operations in South Korea. To date, it has been estimated that the results for Post-EII showed the low reliability; however, understanding those reliability has rarely been studied. We investigated the effect on water qualities by construction operations of the quarry mine, training center, and golf club in South Korea. In addition, the results of water quality analysis in this study were compared and analyzed with those in Post-EII. Treated wastewater in a quarry mine showed high concentrations of biochemical oxygen demand(BOD), suspended solid(SS), total nitrogen(T-N), and total phosphorus(T-P). Compared with the water quality results between this study and Post-EII, the concentrations of BOD, SS, T-N, and T-P in the treated wastewater were higher than the interquartile range(IQR) as well as the range of the results from minimum to maximum in Post-EII(p<0.05). The concentrations of BOD, SS, T-N, and T-P in treated wastewater were high under constructions in a training center. The concentrations of BOD and SS exceeded the consultation standard for the treated wastewater. These concentrations showed the significant difference with the IQR and the range from minimum to maximum of the water quality results in Post-EII(p<0.05). Therefore, the management and monitoring for water quality should be conducted in the treated wastewater by of construction operations. In addition, the alternative to enhance the reliability for the water quality results should be sought in Post-EII.

• Geophysics and Geophysical Exploration
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• v.5 no.4
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• pp.262-271
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• 2002

This study presents a practical procedure for the Bayesian inversion of geophysical data. We have applied geostatistical techniques for the acquisition of prior model information, then the Markov Chain Monte Carlo (MCMC) method was adopted to infer the characteristics of the marginal distributions of model parameters. For the Bayesian inversion of dipole-dipole array resistivity data, we have used the indicator kriging and simulation techniques to generate cumulative density functions from Schlumberger array resistivity data and well logging data, and obtained prior information by cokriging and simulations from covariogram models. The indicator approach makes it possible to incorporate non-parametric information into the probabilistic density function. We have also adopted the MCMC approach, based on Gibbs sampling, to examine the characteristics of a posteriori probability density function and the marginal distribution of each parameter.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.337-344
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• 2013

This research has been conducted to determine the effect that the visually handicapped's participation in an aerobic exercise program has on cardiorespiratory function and arterial pulse wave. The subjects of this research were 20 people who have a 1st degree visual impairment. They recognized the purpose of this research and agreed to take part in it. After receiving agreements from their guardians, we divided them into an exercise group of 10 and a comparison group of 10 at random. The exercise group conducted a 50-70%HRmax treadmill exercise for 60 minutes a day, five times a week, for 12 weeks, including warm up and warm down exercises. We then conducted a two-way repeated ANOVA, which regards the period of exercise and the two groups as independent variables. The follow-up verification for exercise periods according to each group was carried out with a paired t-test. The statistical significance level was p<.05. The following are the results of this research. First, the weight and body fat of the experiment group after exercise show a meaningful reduction compared to before the exercise program (p<.05).Second, the VO2max, HRmax, and VEmax of the experiment group after exercise show a meaningful increase compared to before the exercise program (p<.05). Third, the arterial pulse wave of the experiment group after exercise display a meaningful increase compared to before the exercise program (p<.05). Fourth, the systolic blood pressure of the experiment group after exercise does not show a meaningful reduction compared to before the exercise program (p>.05). These results prove that the visually handicapped's participation in an aerobic exercise program is effective in the improvement of their cardiorespiratory function, bloodstream circulation function and blood vessel function.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.309.2-314
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• 1998

본 연구에서는 음성인식을 위한 화자적응화 기법에 대해 연구하였다. 첫째로 적응화에 포함되지 않은 카테고리 음절에 대해 적응화 효과를 줄 수 있는 보간적응화 방법에 대해 연구하였다. 표준모델과 소량의 음성 데이터만으로 적응화가 가능한 MAPE(최대사후확률추정)으로 적응화한 모델의 평균벡터 변화정도를 적응화 발화에 포함되지 않은 모델에 보간적응하는 방법이다. 둘째로 음절단위 모델을 구축한 후 적응화 하고자 하는 화자의 데이터를 연결학습법과 Viterbi 알고리즘으로 음절단위의 추출을 자동화 한 후 MAPE으로 적응화하는 방법에 대해 각각 실험을 하였다.

• Proceedings of the KSEEG Conference
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• 2001.05a
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• pp.80-86
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• 2001

해상에서의 환경변화는 육지보다 훨씬 변화무쌍하여 그 위험도가 복잡·다양하다. 그런데 우리나라에서의 해상안전 관리체계는 사후처리 개념으로 진행되고 있어 재산과 인명피해가 큰 것이 특징인 해상사고가 발생하게 되면 아무리 빨리 대응한다고 해도 그 피해를 최소화하는데 한계가 있다. 이러한 한계극복을 위해서는 사전예방 개념의 해상안전 관리체계 확립이 필요하다. 본 연구에서는 해상에서의 안전관리를 위기개념으로 접근하여 해상에서의 환경변화에 따른 위험도를 주기적으로 분석하고 대응함으로써 해상에서의 국민의 인명과 재산보호에 최대 효과를 도출할 수 있는 해상 위기관리 시스템에 구현을 위한 기초 조사내용을 기술하였다.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.146-148
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• 1995

A CFAR algorithm for weibull clutter is discussed. The Maximum a posteriori(MAP) estimator for two parameters(skewness and scale) of the weibull clutter is proposed, assuming the probability density function of skewness parameter is known. And proposed MAP estimator is compared with the Maximum likelihood(ML) estimator. Using this MAP estimator, we can design CFAR detector which is shown to have smaller CFAR loss than ML CFAR detector by the statistical simulation method.

• Journal of the Korean Geophysical Society
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• v.3 no.3
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• pp.161-174
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• 2000

Bayesian inversion is a stable approach to infer the subsurface structure with the limited data from geophysical explorations. In geophysical inverse process, due to the finite and discrete characteristics of field data and modeling process, some uncertainties are inherent and therefore probabilistic approach to the geophysical inversion is required. Bayesian framework provides theoretical base for the confidency and uncertainty analysis for the inference. However, most of the Bayesian inversion require the integration process of high dimension, so massive calculations like a Monte Carlo integration is demanded to solve it. This method, though, seemed suitable to apply to the geophysical problems which have the characteristics of highly non-linearity, we are faced to meet the promptness and convenience in field process. In this study, by the Gaussian approximation for the observed data and a priori information, fast Bayesian inversion scheme is developed and applied to the model problem with electric well logging and dipole-dipole resistivity data. Each covariance matrices are induced by geostatistical method and optimization technique resulted in maximum a posteriori information. Especially a priori information is evaluated by the cross-validation technique. And the uncertainty analysis was performed to interpret the resistivity structure by simulation of a posteriori covariance matrix.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.190-195
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• 2016

In this paper, we are comparative analysis both class method and proposal method in order to estimation of incident signal direction on uniform array antenna system. Proposal method of this paper decrease error probability for a signal direction of arrival estimation using maximum posterior probability estimator. If it decrease to signal estimation direction error probability, signal direction of arrival can correctly estimate. Through simulation, we were comparative analysis proposed method and class method. Also, we were comparative analysis about signal estimation error probability with increasing array antenna element. We show the superior performance of the proposed method relative to the class method to decrease of signal estimation error probability about 12%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.102-108
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• 2011

Support vector machines are well known for their outstanding performance in pattern recognition fields. One example of their applications is music/speech classification for a standardized codec such as 3GPP2 selectable mode vocoder. In this paper, we propose a novel scheme that improves the speech/music classification of support vector machines based on the second-order conditional maximum a priori. While conventional support vector machine optimization techniques apply during training phase, the proposed technique can be adopted in classification phase. In this regard, the proposed approach can be developed and employed in parallel with conventional optimizations, resulting in synergistic boost in classification performance. According to experimental results, the proposed algorithm shows its compatibility and potential for improving the performance of support vector machines.