• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.591-599
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• 2020

This study examines how the health of the banks in ASEAN-3 countries namely Indonesia, Malaysia and Thailand respond to the change in exchange rates and foreign interest rates in four large economies. The transmissions of the two external factors through domestic factors in each ASEAN-3 countries eventually affects Non-Performing Loan (NPL) of commercial banks. This study uses the monthly time series data and the renowned Structural Vector Autoregressive (VAR) model comprising five variables, namely exchange rate, foreign interest rate, domestic interest rate, money supply, and non-performing loan (NPL). The results indicate that there are different effects between ASEAN-3 countries, which can be classified as short-run effect and long-run effect. In the long run effect, external factors have a dominant role in determining NPL in ASEAN-3 countries. Yuan has the biggest effect on Malaysia's NPL, while Indonesia is more affected by European interest rates rather than the fluctuation of the US currency and China's interest rates. Among ASEAN-3 countries, Malaysia is the one that is the most vulnerable to external factors. While Thailand's NPL is affected dominantly by domestic factors. This study shows that the Fed Funds Rate (US official interest rate) is not always the dominant factor affecting the health of domestic banks in ASEAN-3.

• Sleep Medicine and Psychophysiology
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• v.9 no.2
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• pp.81-85
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• 2002

There are several factors which are more likely to have sleep disorders in fertile women with menstruation than adult men. Menstrual cycle plays an important role in them. We describe herein the overview about the association of menstrual cycle and sleep disorders by viewing the interactions of menstrual cycle and circadian rhythm. We review how menstrual cycle affects sleep-wake cycle by reviewing menstrual cycle and estrous cycle to understand these interactions. Menstrual cycle and estrous cycle are mainly affected by hormonal cycle and light-dark cycle, respectively and they are generally determined in monthly rhythm and annual rhythm, respectively. The determination of estrous cycle is also affected by cyclic changes of hormones besides light-dark cycle. Although sleep-wake cycle almost alternates according to estrous cycle in non-primate mammals, it is hardly affected by menstrual cycle in primate mammals as compared with estrous cycle. But menstrual cycle affects sleep-wake cycle via desynchronization of sleep-wake cycle and temperature rhythm. The decrease of amplitude and phasic change during luteal phase in the daily fluctuation of body core temperature can partially contribute to the induction of sleep disorders in fertile women. In addition to this, premenstrual syndrome which nearly happens during luteal phase commonly have sleep problems. Therefore, we suggest that menstrual cycle and PMS can partially contribute the increase of sleep disorders in fertile women.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.5
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• pp.745-756
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• 1999

The purpose of this study is to investigate the characteristics of the clothing consumption expenditures by the business cycles in Korea during the period of first quarter of 1979 to second quarter of 1998. Business cycles were examined using data GNP from the National Accounts published by the Bank of Korea and clothing expenditures from the monthly statistics of Korea published by the National Statistical Office of Korea. Data were analyzed by regression analysis standard deviation sample cross-correlation coefficient and skewness statistics. The main results are as follows. 1. During the period of 1979.I-1998.II GNP and per-person consumption expenditures for clothing and shoes have continuously increased except during 1980 and the recent depression of the national economy. Clothing expenditures dropped severely during the two recent depression of the national economy. Clothing expenditure dropped severely during the two depression periods. Clothing expenditures were the highest in the fourth quarter and the lowest in the third quarter of the year. 2. According to the results of the regression analysis the business cycles had a significant influence on the clothing expenditures. the volatility of the clothing expenditure was 2.60 times higher than that of the business cycles. 3. Clothing expenditures displayed procyclical fluctuation and coincident movement to the business cycles. Also clothing expenditures showed an unsymmetric behavior over the expansion phases and contraction phases of the business cycles. That is the clothing expenditures increased slowly in the expansion phases and decreased quickly and severely in the contraction phases of the business cycles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3923-3942
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• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.3
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• pp.646-654
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• 2017

The Fluctuation in the abundance and species composition of fish was investigated Sorido Island southern, Korea from August, 1999 to May, 2000. A total of 1,920.6 fishes were sampled and classified into 9 orders, 34 families, and 39 species. The dominant orders were Perciformes including 15 famailies and 17 species, followed by Pleuronectiformes including 5 families and 6 species, Scorpaeniformes including 4 families and 6 species Ilisha elongata was the dominant occupying 23.96%, followed by Scomber japonicus 16.27%, and Engraulis japonicus 10.98%. Year-round species dominant occupying Conger myriaster, Ilisha elongata, Platycephalus indicus, Leiognathus nuchalis. Seasonal species occupying Hapalogenys mucronatus, Uranoscopus japonicus, Citharoides macrolepidotus. The monthly diversity, evenness, and Richness index were 1.970~2.528, 0.669~0.759, 2.747~4.729, respectively.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.137-146
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• 2016

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.

• Journal of Environmental Science International
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• v.23 no.9
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• pp.1563-1572
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• 2014

The autecology of the Zostera marina and Z. japonica was studied in populations growing in the same locality (Sagumi Bay, southwestern coast of Korea). Environmental factors and plant characteristics were examined monthly from August 2008 to September 2011. Along intertidal zone, Z. japonica (0.1-0.5 m above mean lower low water, MLLW) occurred above Z. marina (0.5-2.5 m MLLW). Tidal exposure at low tide during day was the highest in the spring and the lowest in the summer. Underwater Irradiance showed seasonal fluctuation that was the highest in spring and summer caused by tidal pattern. Strong seasonal patterns in water temperature appeared to control the seasonal variations in morphology, biomass and leaf growth. The seasonal pattern of Z. japonica resembled that of the Z. marina in morphological characteristics, above-and below-ground biomass, whereas it differed in shoot density and leaf elongation. Despite some similarities in seasonal growth patterns, the patterns of Z. japonica were lagged by 2 month of Z. marina. Seasonal variation in the above biomass of Z. marina was caused by changes in density and plant size, whereas that of Z. japonica was mainly caused by changes in shoot density. Zostera marina was more sensitive to high temperatures than Z. japonica, and the increasing water temperature during the summer became the factor that inhibits the growth of the Z. marina. Zostera Japonica, there is no clear change according to the amount of the light. It is because its habitat locates above that of Zostera marina so that the amount of the light that is necessary to growth is enough and in this condition, any preventing factor does not seem to work at all. Although underwater light getting into Zostera marina's habitat is very low level and there is no any hindrance to the survival of them, it prevents them from their productivity a bit.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.50 no.4
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• pp.633-642
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• 2014

Monthly variation in abundance and species composition of the fishes were investigated based on specimens collected by gill net in coastal water of Yeosu from October, 2009 and February, May, August, 2010. The collected fishes were 1,529 individuals (183,840g) of the total, identified into 6 orders, 16 families and 24 species. The most dominant order fish was Perciformes comprised 9 species, 7 families, and followed Pleuronectiformes comprised 5 species, 3 families, Scorpaeniformes comprised 5 species, 2 families. These 3 orders constituted 81.1% of the total collected fish. During the study, most dominant species was Hexagrammos otakii accounted for 189 individuals (12.4%) of the total, followed by Lateolabrax japonicus 165 individuals (10.8%), Hexagrammos agrammus 154 individuals (10.0%). The fish was collected by a gill net in coastal water of Yeosu from October, 2009 and February, May, August, 2010, the diversity index of the fishes was 2.09~2.66, which was the highest in August, 2010 and the lowest in February, 2010. The evenness index of them was 0.84~0.89, which was the highest in August, 2010 and the lowest in February, 2010 and the richness index of them was 2.02~3.14, which was the highest in October, 2009 and the lowest in February, 2010. The analyzed species diversity index by the each stations was 2.47~2.66 and the evenness index was 0.84~0.90 and the richness index 2.99~3.37. The similarity of community structure per season was very high which was the least in spring and fall. In addition, the community structure was very similar in state 3 and 2 out of each stations.

• Korean Journal of Remote Sensing
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• v.28 no.3
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• pp.267-276
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• 2012

Terminal lakes are widely distributed in the arid and semi-arid Gobi of Mongolia, and serves as important water resource for local people and livestock. However, such lakes are subject to great fluctuations in its size depending on climatic conditions and human water utilization. The Orog Lake is one such example that has shown remarkable fluctuation in recent years. In this study, we investigated the temporal changes of Orog Lake surface area by using 16-day MODIS 250 m NDVI products from 2000 to 2010. The results were compared with climate variability represented by monthly precipitation and temperature. Our results show that the Orog Lake gradually shrank for the period from 2000 to 2010, but with a significant range of seasonal and inter-annual variability. The lake area showed considerable seasonal variations, as it expanded in spring and fall, primarily due to snow melt and summer precipitation, respectively. Extreme drought period from 2000 to 2002 triggered the substantial reduction in lake area, leading to dry-up in year 2005, 2006, 2007, and 2009. After dry-up once occurred in 2005, the lake repeated reappearance and disappearance depending on seasonal and annual precipitation. Our findings implicate that the ground water fluctuated around the lake bottom level since 2005. This suggests the highly vulnerable nature of Orog lake, which greatly depends on future precipitation change.

• The Korean Journal of Ecology
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• v.20 no.5
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• pp.347-354
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• 1997

Seasonal fluctuations in density of soil-inhabiting Pseudoscorpions at the Piagol, Mt. Chiri were assessed on the basis of 4,984 individuals collected from March 1993 to February 1995. They encompassed 2 families, 6 genera and 11 species. Species composition and abundance were as follows: Allochthonius buanensis 47.0%, Microcreagris sp. 2. 20.7%, Microcreagris pygmaea 12.9%, Microcreagris japonica 9.8%, Pararoncus japonicus 3.7%, Mundochthonius minusculus 3.2%, Parobisium longipalpus 1.2%, Microbisium pygmaeum 1.0%, Allochthonius coreanus 0.2%, Microcreagris sp. 1 0.2%, and Parobisium robustiella 0.1%. Diversity index (H') decreased and dominance index (C) increased at the height of 1,200 m. The heights of 500 m. The heights of 500 m and 600 m were dominated heavily by A. buanensis and abundance of M. japonical and Microcreagris sp. 2 was also comparatively high and H' was high in March and April, low in August and September. in case of May, Jun., Jul., Oct., Nov., Dec., Jan. 1993, and Feb. 1994, H' stayed at a relatively constant level. A total of 4,984 individuals including 1,170 protonymphs (23.5%), 1,251 deutonymphs (25.1%), 533 tritonymphs (10.7%), and 2,030 adults (40.7%) was collected from the study sites. Sex ratio of the Pseudoscorpions was approximately 1 female : 1.1 male.