• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 춘계종합학술대회
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• pp.303-306
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• 2001

본 연구는 테라헤르츠 시간영역 분광법 (THz time-domain spectroscopy : THz-TDS)을 이용하여 광학 및 전기 전자 재료로 널리 사용되는 이산화규소의 흡수율과 도전율을 각각 테라헤르츠 주파수 영역에서 측정하였다. 입자 형태로 구성된 이산화규소의 재료는 기존의 접촉식인 Hall 측정이나 4-point probe 측정으로는 그 전기적 특성 분석이 불가능하지만, THz-TDS 방법은 비접촉식 방법으로 전기적 특성뿐만 아니라 광학적 특성 분석도 가능하다. 또한 기존의 전기적 폭정 장치는 DC 영역에서만 가능하지만, 본 방법은 테라헤르츠 주파수 영역에 따른 그 특성을 분석 할 수 있다. 특히 도전율은 금속 및 반도체와 달리 테라헤르츠 주파수가 증가함에 따라 증가하였는데, 이러한 결과는 Drude 이론을 따르지 않음을 확인하였다.

• 한국연초학회지
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• 제15권1호
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• pp.15-25
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• 1993

The severities of major tobacco diseases had been surveyed throughout northern Kyeongbuk, a major flue-cured tobacco growing district in Korea, in relation to the actual control method used by the farmers in 1992. At seedling stage, anthracnose caused by Colletotrichum nicotianae was major disease of the plant due to poor damage of the temporary transplanting pots. Mosaic caused by tobacco mosaic virus(TMV) was very severe in certain of greenhouses. Although viral disease caused by TMV, cucumber mosaic virus(CMV) and by potato virus Y(PVY) were severe in fields, but mosaic by TMV was major of the diseases. Potato virus Y was found later than that in Honam district. The late occurrence of the disease might be caused the difference between cultivating method of potato plants in northern Kyeongbuk and that in Honam district. In fields suffered from hail disaster, the damage of tobacco plants by angular leaf spot was severe. Most of tobacco growers had wrong information about the practical methods not only of milk treatment for the protection of the plants from TMV, but also of fungicide applications for the control of other major diseases. It suggested that education on the methods to the farmers must be very important for control of the diseases.

• 대기
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• 제28권2호
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• pp.201-209
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• 2018

Benefits of the next generation geostationary meteorological satellite observation (e.g., GEO-KOMPSAT-2A) are qualitatively and comprehensively described and discussed. Main beneficial phenomena for application can be listed as tropical cyclones (typhoon), high impact weather (heavy rainfall, lightning, and hail), ocean, air pollution (particulate matter), forest fire, fog, aircraft icing, volcanic eruption, and space weather. The next generation satellites with highly enhanced spatial and temporal resolution images, expanding channels, and basic and additional products are expected to create the new valuable benefits, including the contribution to the reduction of socioeconomic losses due to weather-related disasters. In particular, the new satellite observations are readily applicable to early warning and very-short time forecast application of hazardous weather phenomena, global climate change monitoring and adaptation, improvement of numerical weather forecast skill, and technical improvement of space weather monitoring and forecast. Several policy plans for expanding the application of the next generation satellite data are suggested.

• 에너지공학
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• 제26권1호
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• pp.68-75
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• 2017

Global warming affects water supply and water resources throughout the world. In many countries, climate change affects significantly on the fresh water resources. Vietnam is exposed mainly, to landslides and floods triggered by tropical storms and monsoon rains, although storm surge, whirlwind, river bank and coastal line erosion, hail rain. In addition to the prevalent drought, there are many major water challenges, including water availability, stress, scarcity and accessibility, because of poor resource management. Fast growth of urbanization, industrialization and population growth, agricultural activities and climate change cause heavy pressure on water quality. Both domestic and industrial wastewater, as well as storm water shares the same drainage. The common facilities for wastewater treatment are not available. Therefore, wastewater is treated only superficially and then discharged directly into rivers and lakes causing serious pollution of surface water environment. In this paper, we reported the severe water crisis and massive green algal blooms formation in Vietnam rivers and lakes. This is the biggest evidence of climate change variations in Vietnam.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2006년도 하계학술대회 논문집 Vol.7
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• pp.144-145
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• 2006

ZnO is a promising material to make high efficiency violet or blue light emitting diodes (LEDs) for its large binding energy (60meV) and big bandgap. But the high quality p-type conduction of ZnO is a dilemma to achieve LEDs with it. In present study, we presented a reliable method to prepare ZnO thin films on (100)silicon substrates by RF magnetron sputtering in the mixture ambient of $N_2$ and $O_2$, accompanying with low pressure annealing in the sputtering chamber in $O_2$ at $600^{\circ}C$ and $800^{\circ}C$ respectively. X-ray diffraction and Hail effect with Van der Paul method were performed to test ZnO films. Seeback effect was also carried out to identify carrier types in ZnO films and showed the N-doped ZnO film annealed at $800^{\circ}C$ had achieved p-type conduction.

• 대기
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• 제29권2호
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• pp.227-239
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• 2019

This paper reviews various bulk-type cloud microphysics parameterizations (BCMPs). BCMP, predicting the moments of size distribution of hydrometeors, parameterizes the grid-resolved cloud and precipitation processes in atmospheric models. The generalized gamma distribution is mainly applied to represent the hydrometeors size distribution in BCMPs. BCMP can be divided in three different methods such as single-moment, double-moment, and triple-moment approaches depending on the number of prognostic variables. Single-moment approach only predicts the hydrometeors mixing ratio. Double-moment approach predicts not only the hydrometeors mixing ratio but also the hydrometeors number concentration. Triple-moment approach predicts the dispersion parameter of hydrometeors size distribution through the prognostic reflectivity, together with the number concentrations and mixing ratios of hydrometeors. Triple-moment approach is the most time expensive method because it has the most number of prognostic variables. However, this approach can allow more flexibility in representing hydrometeors size distribution relative to single-moment and double-moment approaches. At the early stage of the development of BMCPs, warm rain processes were only included. Ice-phase categories such as cloud ice, snow, graupel, and hail were included in BCMPs with prescribed properties for densities and sedimentation velocities of ice-phase hydrometeors since 1980s. Recently, to avoid fixed properties for ice-phase hydrometeors and ad-hoc category conversion, the new approach was proposed in which rimed ice and deposition ice mixing ratios are predicted with total ice number concentration and volume.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.232-240
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• 2022

To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.

• 무역학회지
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• 제45권4호
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• pp.25-43
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• 2020

This study mainly measures the level of trade facilitation in member countries along the "the Belt and Road" and discusses the impact of trade facilitation on bilateral trade. Based on the research results of domestic and foreign scholars, this study made a new systematic measuring system which covering 4 indicators and 15 subordinate indicators, to obtain the trade facilitation index. Based on the extended gravity model, this paper conducts a panel data, for more than 50 major trading members along the "the Belt and Road" during 2010~2017 as an example to empirically study the relationship between the trade facilitation level of major trading members and the volume of China's import and export trade. The results show that the level of trade facilitation among member countries is not high and the trade facilitation variable has positive value, indicating that the trade facilitation variable has positive effect on increasing bilateral trade. If the trade facilitation increases by 1% respectively, the bilateral trade level will increase by 0.98% separately. Finally, according to the regression results of four aspects of the trade facilitation index system, e-business development plays the most significant role in promoting trade facilitation.

• The Plant Pathology Journal
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• 제33권1호
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• pp.43-52
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• 2017

A survey was conducted to determine the status of Lucerne transient streak virus (LTSV) in three high-yielding alfalfa regions in central Saudi Arabia (Riyadh, Qassim, and Hail) during 2014. Three hundred and eight symptomatic alfalfa, and seven Sonchus oleraceus samples were collected. DAS-ELISA indicated that 59 of these samples were positive to LTSV. Two isolates of LTSV from each region were selected for molecular studies. RT-PCR confirmed the presence of LTSV in the selected samples using a specific primer pair. Percentage identity and homology tree comparisons revealed that all Saudi isolates were more closely related to each other but also closely related to the Canadian isolate-JQ782213 (97.1-97.6%) and the New Zealand isolate-U31286 (95.8-97.1%). Comparing Saudi isolates of LTSV with ten other sobemoviruses based on the coat protein gene sequences confirmed the distant relationship between them. Eleven out of fourteen plant species used in host range study were positive to LTSV. This is the first time to document that Trifolium alexandrinum, Nicotiana occidentalis, Chenopodium glaucum, and Lathyrus sativus are new host plant species for LTSV and that N. occidentalis being a good propagative host for it.

• 한국제4기학회지
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• 제14권1호
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• pp.49-55
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• 2000

10세기부터 14세기까지의 475년간의 황사 기록이 조사되었다.고려사에는 황사현상이 토우,황토우,매라는 표현으로 기록되었으며, 하늘에서 먼지가 떨어지는 것으로 '옷을 적시지 않고 흙이 있음 매 또는 토우라 부른다'라고 설명되어 있다.서운관의 관측규정(서운관지 권지일)에 토우는 '모시모경에 사방이 어둡고 혼몽하고 티끌이 내리는 것 같은 것을 말하는 것이다'라는 기록으로 보아 현대에 관측되는 황사현상과 같음을 알 수 있었다. 고려시대의 황사 관측기록은 총 50건으로 먼지현상만으로 기록된 것이 40권, 큰 바람과 연관된 기록이 5건, 황사가 비 또는 눈과 섞여 내린 사례가 3건, 안개 또는 우박과 연관된 황사가 각 1건씩 있었다. 이는 조선시대의 황사기록 57건(전영신,2000)에 비견할 만큼 많은 기록이다. 또한 고려시대에는 황사현상과 황무현상의 구분이 뚜렷하지 않았던 것으로 판단되어 황무현상의 기록도 함께 분석하였다. 황사현상은 거의 봄철에 많이 관측되었으며, 드물게는 겨울과 가을에 나타난 기록도 있었다. 한편 황사현상에 대한 해석은'임금과 신하의 도가 합하면 확연히 태평하여질 것인다 매가 어찌 있겠느냐'고 하여 황사현상이 출현한 것을 일종의 재앙으로 간주하였음도 알 수 있었다.