• 한국콘텐츠학회논문지
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• 제17권2호
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• pp.499-508
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• 2017

본 연구의 목적은 Bloom의 완전학습모델 적용 교육이 간호대학생의 학업적 자기효능감, 학습만족도, 간호술기 수행능력에 미치는 효과를 검증하기 위함이다. 연구설계는 비동등성 대조군 전후 유사실험 연구이며, 연구 대상은 교육중재에 참여한 실험군 31명과 교육중재에 참여하지 않은 대조군 30명으로 총 61명 이었다. 자료 수집은 자가기입식 설문 방식으로 2015년 11월2일부터 11월 27일까지 이루어졌으며, 자료분석은 ${\chi}^2$-test 및 t-test를 통해 분석하였다. 연구결과를 통해 bloom의 완전학습모델을 적용한 간호술기 교육에 참여한 실험군은 참여하지 않은 대조군 보다 학습만족도(t=3.032, p=.004) 및 간호술기 수행능력(t=2.477, p=.016)이 통계적으로 유의하게 향상되었지만, 학업적 자기효능감은 두 군 간에 유의한 차이가 없었다. 본 연구결과를 통해 Bloom의 완전학습모델 적용 교육은 간호학생에게 기본간호 교육 시 효과적인 교육프로그램으로 추천할 수 있으므로 교육현장에서 활발하게 활용되기를 기대한다.

• 한국환경농학회지
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• 제41권3호
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• pp.199-205
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• 2022

BACKGROUND: The freezing injury by pruning can be reduced by suspending pruning work when severe cold weather (-23 to -49℃) is forecast. Minimum air temperature of the study area, Gunwi region at February 3, 2012 was -21.9℃, and the subzero temperature continued until April 8, 2012. This study was conducted in two years to investigate the effect of delaying winter pruning until full bloom on shoot growth and fruit quality of 'Fuji'/M.9 apple trees. METHODS AND RESULTS: The time of pruning were March 26 for dormant, April 3 for bud break, and May 2 for full bloom. The winter pruning at full bloom significantly reduced fruit weight for two years compared with the control (winter pruning at dormant), and shoot growth was reduced only in the following year. There was no significant effect of delaying winter pruning at bud break on soluble solid content, fruit red color, return bloom, and pruning weight for two years compared with the control. CONCLUSION(S): These results indicated the delaying winter pruning at bud break of 'Fuji'/M.9 apple tree did not offer any disadvantage over comparable dormant pruning, since the fruit quality was not affected. The delayed pruning at full bloom resulted in decreased fruit weight, though shoot growth, fruit quality, and return bloom were not affected by the delayed pruning. So, the delayed pruning should be considered carefully only for the fruit tree orchards in diseases.

• 한국물환경학회지
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• 제22권6호
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• pp.1060-1067
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• 2006

Water quality in the Daecheong reservoir has been deteriorated by algal bloom due to nutrient supply from the upstream of the Daecheong reservoir after heavy rainfall. Algal bloom is propagated from eutrophicated tributary into the main body of the reservoir according to the hydrological conditions. This study is aimed to estimate the water current and temperature effect by the simulation of dam spill flow control using water quality model, CE-QUAL-W2 in 2003. Water current was resulted in nutrient transport from upstream of main reservoir and nutrients were delivered up to downstream by fast water velocity. Algal blooms occurred in stagnate zone of reservoir downstream as the current of downstream was retarded according to dam outflow control. Consequently water balance in stagnate zone triggered a rise of water temperature in summer. It affected algal bloom in the embayment of the reservoir. The simulation result by outflow control scenarios showed that spill flow augmentation induced in water body instability of stagnate zone so that water temperature declined. It could be suggested that outflow control minimize algal bloom in the downstream in the flooding season as long as water elevation level is maintained properly.

• Journal of Information Processing Systems
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• 제14권2호
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• pp.499-509
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• 2018

Recently, hybrid transactional memory (HyTM) has gained much interest from researchers because it combines the advantages of hardware transactional memory (HTM) and software transactional memory (STM). To provide the concurrency control of transactions, the existing HyTM-based studies use a bloom filter. However, they fail to overcome the typical false positive errors of a bloom filter. Though the existing studies use a global lock, the efficiency of global lock-based memory allocation is significantly low in multi-core environment. In this paper, we propose an efficient hybrid transactional memory scheme using near-optimal retry computation and sophisticated memory management in order to efficiently process transactions in multi-core environment. First, we propose a near-optimal retry computation algorithm that provides an efficient HTM configuration using machine learning algorithms, according to the characteristic of a given workload. Second, we provide an efficient concurrency control for transactions in different environments by using a sophisticated bloom filter. Third, we propose a memory management scheme being optimized for the CPU cache line, in order to provide a fast transaction processing. Finally, it is shown from our performance evaluation that our HyTM scheme achieves up to 2.5 times better performance by using the Stanford transactional applications for multi-processing (STAMP) benchmarks than the state-of-the-art algorithms.

• 한국패류학회지
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• 제31권1호
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• pp.61-67
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• 2015

The occurrence of 'algal bloom', caused by the mass proliferation of phytoplankton, causes serious problems in streams and lakes in Korea. Therefore, in this study, the phytoplankton filter-feeding trait of Unio douglasiae, a type of freshwater clam, was used to reduce the algal bloom in outdoor water tanks during the summer. This involved the construction of a U. douglasiae cultivation apparatus, wherein 1,000 clams were divided into 8 rectangular baskets arranged in the shape of an empty square. The control tank was manufactured in exactly the same shape within the water tank, but without the addition of clams. The algal bloom-reducing effect of U. douglasiae was confirmed by the measurement of (and comparing between) the water quality at the center and periphery of the test and control cultivation apparatus. Water quality measurements included the measurement of water temperature, pH, turbidity, dissolved oxygen (DO) content, and chlorophyll-${\alpha}$ concentrations; the water quality was measured twice a month between June and November 2014.The results of these analyses did not show a significant difference in water quality (temperature, pH, turbidity, DO) between the center and periphery of the test and control tanks. However, the chlorophyll-${\alpha}$ concentration was observed to be much lower at the center of the test tank compared to that at the center and periphery of the control tank, as well as at the periphery of the test tank. This was believed to be a result of the U. douglasiae surrounding the center of the test tank, which prevented the influx of plankton from the periphery. Accordingly, the results of these analyses suggest the possibility that U. douglasiae cultivation could reduce the proliferation of algal blooms in lakes and streams during the summer. In particular, these results indicate possible improvements in U. douglasiae activity (reduction in algal blooms) by their effective arrangement in the water bodies.

• Environmental Engineering Research
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• 제24권3호
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• pp.404-411
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• 2019

In this study, we designed a data-driven model to predict chlorophyll-a using M5P model tree and extreme learning machine (ELM). The Juksan weir in the Youngsan River has high chlorophyll-a, which is the primary indicator of algal bloom every year. Short-term algal bloom prediction is important for environmental management and ecological assessment. Two models were developed and evaluated for short-term algal bloom prediction. M5P is a classification and regression-analysis-based method, and ELM is a feed-forward neural network with fast learning using the least square estimate for regression. The dataset used in this study includes water temperature, rainfall, solar radiation, total nitrogen, total phosphorus, N/P ratio, and chlorophyll-a, which were collected on a daily basis from January 2013 to December 2016. The M5P model showed that the prediction model after one day had the highest performance power and dropped off rapidly starting with predictions after three days. Comparing the performance power of the ELM model with the M5P model, it was found that the performance power of the 1-7 d chlorophyll-a prediction model was higher. Moreover, in a period of rapidly increasing algal blooms, the ELM model showed higher accuracy than the M5P model.

• 현장농수산연구지
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• 제16권1호
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• pp.55-66
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• 2014

'캠벨얼리' 포도에서 적립의 노동력을 절약하기 위하여 GA₃를 침지 시기를 달리하여 농도별로 처리하여 화수 생장 및 과실 품질에 미치는 영향을 조사한 결과는 다음과 같다. GA₃ 침지처리에 의한 화수의 생장은 개화 5일 전 처리는 억제시켰으며 만개기 및 만개 5일 후 처리는 촉진시켰다. GA₃ 5, 10, 20 mg·L^-1 개화 5일 전 처리는 화수가 뒤틀리는 약해증상이 보였으며 만개기 및 만개 20일 후 처리에서는 미미한 약해를 나타내었다. GA₃ 농도는 화수 생장을 촉진시키고 약해가 없는 5, 10 mg·L^-1 침지 처리가 효과적이라 생각되었다. 과립의 밀착 정도, 착색, 가용성고형물, 산 함량에는 처리 간 차이는 없었다. 과립중은 무처리와 비교하여 개화 5일전 처리에서 감소하였으나 만개기 및 만개 5일 후 처리에는 차이가 없었다. 과립의 열과 발생률은 개화 5일 전 20 mg·L^-1 처리 및 만개 5일 후 전 농도에서 증가하였으나, 과립의 탄저병 발생률은 큰 차이가 없었다. 과방내 총 지경장은 만개기 및 만개 5일 후 GA₃ 침지 처리에 의해 증가하였다. 지경 순서에 의한 1번째 부터 20번째 지경까지 지경 생장은 만개기 및 만개 20일 후 처리에서 전체적으로 증가하였다. 따라서 GA₃ 5 mg·L^-1 용액을 만개기에서 만개 5일 후까지 침지 처리시 화수 생장을 촉진시킬 것으로 생각되었다.

• 환경생물
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• 제34권2호
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• pp.91-96
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• 2016

본 연구에서는 동물플랑크톤인 Daphnia magna를 이용하여 유해조류인 Microcystis aeruginosa, Anabaena variabilis, Limnothrix planctonica에 대한 제어 가능성을 평가하였다. D. magna와 유해조류를 공생배양 시킨 경우, M. aeruginosa ($80.2{\pm}4.2%$), A. variabilis ($39.7{\pm}4.0%$) 그리고 L. planctonica ($25.9{\pm}10.9%$)의 순으로 조류 발생 억제효율을 보였다. 동물플랑크톤의 섭생에 의한 조류 제어 효과 이외에 D. magna의 대사/분비물질의 조류 제어 가능성을 확인할 수 있었다. D. magna를 배양한 배지를 유해조류 제어에 이용했을 때, M. aeruginosa와 A. variabilis에 대하여 각각 $24.9{\pm}9.9%$와 $8.9{\pm}4.0%$의 성장 억제효과를 확인할 수 있었다. 하지만, L. planctonica에 대한 성장 억제효과는 나타나지 않았다. 본 연구의 결과를 통하여 동물플랑크톤인 D. magna를 활용한 친환경적 유해조류 제어기술 개발이 가능할 것으로 판단된다.

• 환경영향평가
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• 제20권6호
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• pp.915-925
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• 2011

Following the industrialization and urbanization in Korea, algal bloom causes aesthetic displeasure and many other problems such as taste and odor, coloration, scum, increase in pH, filter-bed blockage. There were some cases involving human death by microcystins during summertime in foreign countries. In Korea, Harmful cyanobacteria such as Microcystis and Anabaena develop in summer in the Daecheong reservoir, one of the main water resources, with the retention time of above 200 days. To better control algal bloom, the Ministry of Environment has been running algal bloom alert system from 1998 for the Daecheong reservoir, which needs to be improved to reflect the characteristics of river-type lakes. For this reason, we try to find new measures to improve an algal bloom alert system for each water zone considering the characteristics of harmful cyanobacteria in this study.

• ALGAE
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• 제19권1호
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• pp.23-30
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• 2004

The purpose of this study is to assess the effects that hydraulic-gun-aerators have on cyanobactedial bloom in Sayeon Dam Reservoir in Ulsan City, Korea. A total of nine hydraulic-gun-aerators are in operation at the reservoir withe 100 m spacing between each aerator to control severe cyanobacterial bloom in the dam reservoir. The field studies were performed an total four times at two sampling stations in the reservoir from July to August in 2001. The standing crops of phytoplankton did not changed significantly by the operation. The cell concentration of the cyanobacteria at the surface layer were reduced about 10%, which is a poor result for the dispersing cyandobacteria deeper into the water. The average surface temperature during the study was reduced by 2.0$^{\circ}C$ by the hydraulic-gun-aerators. The effect of the operation on the vertical distribution of DO concentration was clear. However, the hydraulic-gun-aerators were not expected to have an effect in the lowest layer of the hypolimnion. In the study, it was proposed that installation distance between each hydraulic-gun-aerator would be proper when they are apart about 120 m based on DO depth profiles.