• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.253-255
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• 2015

Crude oil is the world's most actively traded commodity and also one of the most significant resources in the world. The impact of oil price volatility has great influences on macroeconomic activities. This presentation is to review and analyze the oil price fluctuation and to examine the effects especially on the offshore oil production and thereafter to look over the challenges and opportunities in this sector focusing on the petroleum logistics.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.179-183
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• 2012

The random dopant fluctuation (RDF) effects of tunneling field-effect transistors (TFETs) have been observed by using atomistic 3-D device simulation. Due to extremely low body doping concentration, the RDF effects of TFETs have not been seriously investigated. However, in this paper, it has been found that the randomly generated and distributed source dopants increase the variation of threshold voltage ($V_{th}$), drain induced current enhancement (DICE) and subthreshold slope (SS) of TFETs. Also, some ways of relieving the RDF effects of TFETs have been presented.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.10a
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• pp.185-190
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• 1993

In this paper, we investigate the effect of production uncertainty - especially demand fluctuation and activity time variation, to production control policies. First, we examine three famous production control policies, namely, MRP, JIT, OPT, from shop floor control perspective and analyze the difference among them. Based on these, simulation studies are performed to draw out the effects of demand fluctuation which are classified into demand lumpiness and demand irregularity, and, the effects of activity time variation which are classified into standard time variation and non-standard time variation. Experimental investigation shows that, in terms of demand fluctuations, MRP is affected by demand lumpiness, but JIT by demand irregularity. And we also see that both MRP and JIT are influenced by standard time variation with respect to activity time variations.

• Journal of Sericultural and Entomological Science
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• v.18 no.2
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• pp.61-64
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• 1976

Experiments had been carried out in Suweon area from 1972 to 1973 to determine the seasonal fluctuation of Pseudodendrothrips mori NIWA using direct counts and to know the effects of chemicals for its control. 1. The fluctuation of mulberry thrips was especially influenced by precipitation and number of hours with sunshine in the meteological conditions. The peaks of fluctuation occurred several times but the highest peak occurred in late August. 2. The mulberry thrips was distributed in the range of the 4th to 16th leaves from the apex in a branch. The highest density leaves were 6th to 12th. 3. Orthene, Metasystox were the most effects on the mulberry thrips.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.763-765
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• 1998

Flicker embrace all diverse effects of rapid voltage fluctuation. To minimize these effects, the voltage fluctuation must be kept below the limit. The aim of this study is to simulate TCR for flicker suppression. To do this, we built models similar to electrical systems of fields using EMTP and attached TCR to them. After attaching TCR, we confirmed reduction of incoming voltage fluctuation and reactive power compensation.

• Proceedings of the KSME Conference
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• 2004.11a
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• pp.1166-1171
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• 2004

The combustion instability acts as a serious obstacle for the lean premixed combustion of gas turbine and even causes the fatal damage to the combustor and whole system. In this experiment, the pressure fluctuation is highly related to the stabilizing position of flame and fuel injection location. The fuel injection location is connected with the convection time of the fresh mixture, which is important time scale to refresh the mixtures near the flame stabilization location. The flame is extremely unstable when the alternative stabilization occurs and bulk mode frequency (${\sim}10Hz$) of pressure fluctuation is observed in this condition. It was found that the convection time scale of the fresh reactant coincided with the time scale of the bulk mode fluctuation. Hence this phenomenon results from the local equivalence ratio change caused by the pressure fluctuation induced by thermo-acoustic effects.

• Journal of Integrative Natural Science
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• v.4 no.2
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• pp.121-129
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• 2011

The purpose of this paper is to estimate the fluctuation of an earning rate and risk management using the price index of Korea stocks. After an observation of conception of fluctuation, we can show volatility clustering and fluctuation phenomenon in the Korea stock price index using GARCH model with heteroscedasticity. In addition, the effects of fluctuation on the time-series was evaluated, which showed the heteroscedasticity. MCMC method and Winbugs as Bayesian computation were used for analysis.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.37 no.8
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• pp.76-85
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• 2000

Effects of the random fluctuation in grating half-period have been studied by an effective index transfer matrix method in DFB lasers. The laser facets are assumed to be perfectly antireflection coated, and the period fluctuation is modeled as a Gaussian random variable. The random fluctuation breaks spectral symmetry in both uniform-grating and quarter-wavelength -shifted(QWS) DFB lasers, and decreases the effective coupling coefficient. This leads to increased average mirror loss of ${\pm}$1 modes and reduced stopband width in uniform grating DFB lasers, and degradation in the wavelength accuracy and the single mode stability in QWS-DFB lasers. Threshold gain difference decreases with increasing period fluctuation irrespective of grating coupling coefficient in QWS-DFB lasers, while spatial hole-burning effect is exacerbated or alleviated when the normalized coupling coefficient is lower and higher than 1.5, respectively.

• Geomechanics and Engineering
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• v.18 no.6
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• pp.575-584
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• 2019

The groundwater level (GWL) is an important subsoil condition for the design of foundation. GWL tends to fluctuate often with seasonal variation, which may cause unexpected, additional settlements with some reductions in the safety margin of foundation. In this study, the effects of fluctuating GWL on the load carrying and settlement behavior of footing were investigated and quantified. A series of model load tests were conducted for various GWL and soil conditions using a hydraulically-controlled chamber system. Changes in load level and rising and falling GWL fluctuation cycle were considered in the tests. Settlements during GWL rise were greater than those during GWL fall. The depth of the GWL influence zone ($\underline{d}_{w,inf}$) varied in the range of 0.3 to 1.5 times footing width and became shallower as GWL continued to fluctuate. Design equations for estimating GWL-induced settlements for footings were proposed. The GWL fluctuation cycle, load level and soil density were considered in the proposed method. Changes in settlement and factor of safety with GWL fluctuation were discussed.

• Journal of Environmental Science International
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• v.30 no.7
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• pp.519-527
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• 2021

Moving average precipitation provides periodic precipitation patterns by solving precipitation irregularities. However, due to uncertain moving average periods, excessive data smoothing occurs, which limit the possibility to analyze groundwater levels in the short term. Nonetheless, groundwater level fluctuation can compensate these limitations as it can calculate appropriately for unit time and verify the effect of precipitation penetrated into groundwater in a short time period. In this study, the characteristics of groundwater level were evaluated using groundwater level fluctuation to compensate for limitations of groundwater level analysis using moving average precipitation. In addition, the groundwater quality was investigated using the electrical conductivity fluctuation. The study site was Hyogyo-ri, Yesan-si, Chungcheongnam-do. Four observation wells and an automated weather system were used. The correlation between groundwater level fluctuation and precipitation (Case 1) and the correlation between groundwater level and moving average precipitation (Case 3) were compared. In the analysis for 1 hour data, the correlation coefficient of Case 1 was higher than that of Case 3, and in the analysis for 1 day data, the correlation coefficient of Case 3 was higher than that of Case 1.