• Journal of the Korean earth science society
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• v.31 no.7
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• pp.708-719
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• 2010

The Gochang-gun Dongho macro-tide pocket-type beach, located on the southwestern coast of Korea, is investigated in terms of the seasonal variations of surface sediment and sedimentary environment. Surface sediments of 45 sites in four seasons (May 2006-February 2007) are sampled across three survey lines (15 sites in each survey line). The surface sediments of the Dongho Beach are mainly composed of fine to coarse sands, and the ratio of fine sand is the largest. The average of grain size is the coarsest in the summer. The spatial distribution of surface sediments shows a coast-parallel band of fine and medium sands during three seasons of spring, fall, and winter, whereas medium sands dominated in the northern part of the study area during the summer. These results suggest that a tide is more effective than a wave in the surface sediments of the Dongho Beach during the summer.

• 한국해양학회지
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• v.23 no.1
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• pp.1-12
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• 1988

To clarify the community structure of phytoplankton in the Kyeonggi Bay, the community analysis were performed to investigate the relationship between the environmental factors and the phytoplankton communities. Low diversity with occurrence of few dominant species throughout the year, except summer, implies that ecological environment of this study area is very unstable due to incessant physical perturbation and large fluctuation of other environmental factors. According to the results of the cluster analysis this study area could be divided into river discharge, polluted and unpolluted area. Principal component analysis of overall phytoplankton community in this area clearly showed four seasonal succession patterns grouped into the spring type, the summer type, the late summer type, the late autumn-winter type. Summer communities composed of common phytoplankton are highly correlated with temperature and transparency. Winter communities composed of most tychopelagic plankton are positively correlated with suspended substances and nutrient, while negatively correlated with transparency.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.26 no.5
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• pp.424-437
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• 1993

About three fourths of total variability of zooplankton in Asan Bay was associated with season and the difference between inner bay and outer bay was relatively small. However, the differences in percent compositions of major taxa at inner bay and outer bay increased gradually with time, suggesting the change of ecosystem in this bay due to the human exploitation such as reclamation. Seasons of maximum abundances were different among the taxa but consistent for each taxon throughout the three survey years. Calanus sinicus and Acartia bifilosa showed maximum abundance in spring. Sagitta crassa, Paracalanus parvus, A. pacifica, Tortanus spinicaudatus, Corycaeus affinis and Decapoda larva were most abundant in summer. Labidocera euchaeta and Bivalve larva appeared most abundantly in fall. But in winter no taxon showed maximum. In general, low abundance with many species in fall, low abundance and few taxa in winter, increase in both number of taxa and abundance in spring, and high abundance and many taxa in summer were observed. A hypothesis for the observed patterns was suggested although more evidences were needed to support this.

• Journal of the Korean earth science society
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• v.24 no.6
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• pp.578-591
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• 2003

To investigate the seasonal variation patterns of tidal flat sediments in semi-enclosed Hampyong and Kwangyang Bays, respectively west and south coasts of Korea, accumulation rate and grain-size in the sediments were monitored during 2${\sim}$4 years. The mud flats in the northern and eastern parts of Hampyong Bay were eroded in summer and deposited in winter, but mixed flats in the southern part of the bay show reversed seasonal variations to the mud flats. These variations are most likely connected with wave actions induced by monsoon and physiographic setting of the tidal flats in the bay. In contrast, the tidal flats of Kwangyang Bay were eroded in summer and deposited in other seasons except summer, different from the case of Hampyong Bay. The physiography of Kwangyang Bay are characterized by dominant flood tides and weak wave actions. However, in summer, the surface sediments were abruptly eroded by occasional typhoons and heavy rainfall. These weather conditions appear to be important factors to accelerate erosion on the tidal flat in semi-enclosed bays, south coast of Korea.

• Korean Journal of Ichthyology
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• v.22 no.4
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• pp.230-237
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• 2010

Histological observation on the seasonal variation of mucus cells of the mud loach Misgurnus mizolepis inhabiting a natural stream was carried out on three skin regions (dorsal, lateral and occiput) from March 2008 to February 2009. Our results showed no differences in general morphology by season, but the mucus cells of the epidermis showed significant seasonal change in their size and number as the water temperature changed. The ratio of surface area of the mucus cell layer and mucus cells, and the number of mucus cells in surface area of the epidermis were the greatest in the cold winter and the least in the hot summer in all regions of the epidermis. In particular, the occiput seemed to be a very sensitive region in response to environmental change, showing wide fluctuations in the size of mucus cells throughout the year and a great change in between seasons, especially from late autumn to early winter when the temperature decreased. As the temperature became colder, a small and spherical-shaped mucus cell was transformed into a large and elongated columnar form with a lot of secreted mucus material in a superficial layer of the epidermis. From our results, we can safely surmise that cold temperature is an important environmental factor having a close relationship with the modification of mucus cells of M. mizolepis in winter.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.351-355
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• 2003

유행에 민감한 의류업계의 생명은 빠른 대응이다. 특히 중국은 인구가 많고, 국토 면적이 넓어서 동북부와 남부 및 서부지역에서 계절의 변화가 뚜렷한 차이를 보이고 온도 차이가 큼으로 하여 같은 시점에서 서로 다른 계절의 의류가 요구되거나 유행되고 있는 것이 특징이 다. 본 연구에서는 중국의 특성에 맞추어 중국현지의 의류유통회사(약칭 S사)의 생산과 판매중심의 시장대응형 프로세스를 구축하여 상품기획에서부터 상품발주, OEM생산, 입하, 배분, 출하, 판매, 실적집계, 판매평가, 보충출하, 보충생산, 히트상품 및 유사품 재발주 등 일련의 과정을 포함하는 정보망을 구축하여 각 과정에서 발생하는 정보를 실시간으로 집계하고 다각도에서 분석하여 더 빠르고 더 정확한 영업의사결정의 지원을 목적으로 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1340-1344
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• 2004

우리나라는 계절에 따라 수량의 변화가 커서 하천에 흐르는 유량의 변화가 심하지만 대부분의 하천은 갈수기에도 각각 일정량의 유량을 가지고 흘러간다. 그러나 충적층을 통과하는 소하천의 경우에는 계절에 상관없이 하천수가 지하로 침투하여 지표수가 감소한다. 소하천의 하천수량이 갈소되거나 건천화 될 경우 수질이 악화되거나 하천의 바닥이 드러날 경우 수중생태계는 파괴됨 것이다. 현재 지하수를 개발하여 부족한 하천수를 보충하는 방법을 모색하고 있으나 하천수의 지하침투가 심각한 경우에는 지하수만으로는 하천수의 부족분을 보충하는데 한계가 있다. 충적층을 통과하는 소하천의 침투수를 차단하는 방법으로 충적층에 불투수 매트를 설치하여 사용하면 하천의 건천화를 방지할 수 있으며, 충적층의 침투수를 차단하기 위하여 충적층위에 점토층을 설치하여 투수계수를 저하시키는 방법을 사용하면 부족한 하천유지용수를 확보할 수 있다. 따라서 충적층을 통과하는 소하천의 건천화를 방지하고 자연형 하천으로 개발할 경우 수중생태계 복원성이 우수하며, 자연경관의 복원에도 효과가 있다.

• Journal of Life Science
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• v.23 no.6
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• pp.770-778
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• 2013

To determine the seasonal variation of bacterial community in the seawater of Gwangyang Bay, three hundred thirty six bacterial strains were isolated on February, May, July and October 2011. Amplified Ribosomal DNA Restriction Analysis (ARDRA) was used to construct the phylotyes of the isolates using the restriction endonuclease, Hae III. Diversity indices of ARDRA patterns were calculated. One hundred and one phylotypes including 40 unique pylotypes were found at the 80% similarity level. Partial 16S rRNA genes of one hundred thirty nine strains representing each phylotypes were sequenced and compared. Bacterial community composed of 4 different phyla which include Proteobacteria, Actinobacteria, Bacteroidetes and Firmicutes. Proteobacteria was the prevailing phylum in all seasons, followed by Bacteroidetes in winter, spring and autumn while Actinobacteria in summer. At the family level, Flavobacteriaceae dominated in winter and spring and Pseudoalteromonadaceae did in summer and autumn. Genera Altererythrobacter, Loktanella, Pseudoalteromonas and Vibrio were encountered in all seasons. The most diverse bacterial community was found in autumn followed by the order of spring, winter and summer.

• Pediatric Infection and Vaccine
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• v.12 no.1
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• pp.52-60
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• 2005

Purpose : The aim of this study is to know seasonal distribution of group A streptococci obtained from one center using emm genotyping and T serotyping in Masan from 2003 through 2004. Methods : Among children who visited the Changwon Fatima Hospital at Masan, Korea from June 2003 through February 2004, 100 patients who had clinical findings of acute pharyngitis, scarlet fever, and cellulitis were confirmed as GAS by culture, and were enrolled in our study. All obtained GAS were sent to the WHO Collaborative Center for Reference and Research on Streptococci, University of Minnesota, Minneapolis for T serotyping and emm genotyping. We classified these results again according to seasonal and disease's entities. Results : 19 different T serotypes was typed. T4(27.5%), T1(17.6%), T6(13.7%), and T12(13.7%) serotypes were relatively common in summer, while T4(28.3%), T12(15.2%), and T12/B3264(8.7%) were common in winter. T4 and T12 were persistent all year around. Distribution of T serotypes in 89 patients with pharyngotonsillitis were T4(26.7%), T12(14.0%), T1(12.8%), and T6(11.6%) in order of frequency. 15 different emm genotypes was typed. The number of emm 1, emm 6, emm 9, and emm 44 genotypes decreased or disappeared in winter, and the number of emm 3, emm 12, and emm 89 genotypes increased or reappeared in winter. Conclusion : Because T serotyping and emm genotyping are useful tools for evaluating epidemiology and pathogenesis of group A streptococci, we should monitor these strains every year, and should serotype and genotype GAS obtained from the invasive streptococcal infections.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.1-16
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• 2019

Recently, since responding to meteorological changes depending on increasing greenhouse gas and electricity demand, the importance prediction of photovoltaic power (PV) is rapidly increasing. In particular, the prediction of PV power generation may help to determine a reasonable price of electricity, and solve the problem addressed such as a system stability and electricity production balance. However, since the dynamic changes of meteorological values such as solar radiation, cloudiness, and temperature, and seasonal changes, the accurate long-term PV power prediction is significantly challenging. Therefore, in this paper, we propose PV power prediction model based on deep learning that can be improved the PV power prediction performance by learning to use meteorological and seasonal information. We evaluate the performances using the proposed model compared to seasonal ARIMA (S-ARIMA) model, which is one of the typical time series methods, and ANN model, which is one hidden layer. As the experiment results using real-world dataset, the proposed model shows the best performance. It means that the proposed model shows positive impact on improving the PV power forecast performance.