• 한국농촌생활과학회지
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• 제6권2호
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• pp.151-161
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• 1995

The objective of this study is to analyse consumption problems of the rural poor households. This is a succeeding work to the previous report on economic resource problems. Data from 154 rural poor house holds and 290 rural non-poor households were analysed to comprehend their consumption practices, financial management ability, consumer competence of homemakers, and market environments. The major findings and conclusions are as follows : 1. The rural poor households had deficit of 30, 000 won per month. They perceived relative importance of the educational expenses and food expenses and heavier pressure of educational expenses and light and water expenses than other items. 2. The rural poor households evaluated their financial management ability average like non-poor households but their level of consumer competence was lower than other households. This means their consumer efficiency is relatively low. 3. The rural poor households had similar grade of market environments to non-poor households. This is significantly different from urban households.

• 한국멀티미디어학회논문지
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• 제24권5호
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• pp.695-700
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• 2021

The Faster RCNN-based shellfish recognition algorithm is introduced for shellfish recognition studies that currently do not have any deep learning-based algorithms in a practical setting. The original feature extraction module is replaced by DenseNet, which fuses multi-level feature data and optimises the NMS algorithm, network depth and merging method; overcoming the omission of shellfish overlap, multiple shellfish and insufficient light, effectively solving the problem of low shellfish classification accuracy. In the complexifier test environment, the test accuracy was improved by nearly 4%. Higher testing accuracy was achieved compared to the original testing algorithm. This provides favourable technical support for future applications of the improved Faster RCNN approach to seafood quality classification.

• 환경생물
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• 제27권1호
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• pp.82-87
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• 2009

우리나라의 주요 우점종인 상수리나무, 굴참나무, 신갈나무의 생태적 특성을 밝히기 위하여 식물생장에서 가장 중요하다고 판단되는 광, 토양수분, 영양소를 이들 3종의 참나무 유식물에 각각 실내에서 처리하여 그 생육반응을 관찰하고, 분석하고자 시도하였다. 상수리나무와 굴참나무는 광이 높을수록 잘 자라는 경향이 있었고, 신갈나무만이 뚜렷한 경향이 없었다. 신갈나무는 낮은 광도에서도 생육이 크게 감소하지 않았다 굴참나무와 신갈나무는 수분구배에 따라 생육의 차이가 없었고, 상수리나무만이 약간 높은 구배에서 잘 자랐을 뿐이었다. 상수리나무, 굴참나무와 신갈나무 모두는 영양소가 적을 때 잘 자랐고, 높을수록 못 자랐다. 영양소 구배에 따른 감소정도는 굴참나무, 신갈나무, 상수리나무 순으로 낮았다. 이상으로 볼 때, 신갈나무는 피음조건에, 상수리나무는 토양이 다습한 조건에 그리고 굴 참나무는 유기물이 적은 조건에서 각각 적응한 종이라고 판단된다.

• 한국대기환경학회지
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• 제32권3호
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• pp.280-288
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• 2016

Greenhouse gas (GHG) emissions have given rise to climate change which is one of the most serious environmental challenges that the world faces today. In response, Republic of Korea has proposed "Low Carbon, Green Growth" as a new economic paradigm accompanying with the ultimate aim of building a sense of responsibility for the environment. Korean government has set the ambitious national GHG emission reduction target which aims 37% reduction in the business-as-usual (BAU) level of 2030. The transportation sector plays a key role in this target. In the transportation sector, the GHG reduction target of 34.3% in the BAU level by 2020 has been allocated in order to consider the industrial specificity. Furthermore, it is known that the GHG reduction in the transportation sector has relatively minimal side effects compared to those of other sectors. In order to meet this national GHG reduction target, Korean government has set $CO_2$ emission regulation of vehicle for 2020. The purpose of this study is to evaluate the reduction effects by the average GHG regulation of vehicles. $CO_2$ emissions, between 2009 and 2013 were analysed by reduction measure such as technology improvement, light-weight, segment shift, diesel vehicle sales. During this period, $CO_2$ of vehicle was reduced every year by 19.9 g/km (i.e., 3.3% reduction per year). $CO_2$ reduction of imported vehicle is greater than domestic vehicle because of segment shift toward small size vehicle and higher diesel vehicle sales.

• Journal of Astronomy and Space Sciences
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• 제41권2호
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• pp.121-138
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• 2024

Advances in solar-terrestrial physics are generally linked to the development of innovative new sensor technologies, affording us ever better sensitivity, higher resolution, and broader spectral response. Recent advances in low-noise InGaAs sensor technology have enabled the realization of low-light-level scientific imaging within the short-wave infrared (SWIR) region of the electromagnetic spectrum. This paper describes a new and highly sensitive ultra-wide angle imager that offers an expansion of auroral and airglow imaging capabilities into the SWIR spectral range of 900-1,700 nm. The imager has already proven successful in large-area remote sensing of mesospheric temperatures and in providing intensity maps showing the propagation and dissipation of atmospheric gravity waves and ripples. The addition of an automated filter wheel expands the range of applications of an already versatile SWIR detector. Several potential applications are proposed herein, with an emphasis on auroral science. The combined data from this type of instrument and other existing instrumentation holds a strong potential to further enhance our understanding of the geospace environment.

• 대한전자공학회논문지SP
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• 제48권2호
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• pp.65-73
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• 2011

본 논문은 다중 컬러 필터 조리개 (multiple color-filter aperture; MCA) 시스템에서 영역 적응적 히스토그램 평활화를 사용하여 저노출 환경에서도 강건한 새로운 디지털 다중초점 (multifocusing) 방법을 소개한다. MCA 시스템은 획득된 영상의 컬러 채널 간에 발생하는 부정합 (misalignment) 정도를 측정하여 카메라의 거리에 따른 장면의 상대적 심도 정보를 추출한다. 추출된 상대적 심도 정보는 관심영역 (regsion-of-interests; ROIs) 분류 (classification), 정합 (registration), 융합 (fusion) 등의 과정을 통하여 다중초점 영상을 생성한다. 그러나 MCA 시스템은 유한한 구경의 조리개로 때문에 저노출 환경에서 성능의 저하를 초래하게 된다. 이러한 문제를 해결하기 위해 공간 적응적 히스토그램 확장을 이용한다. 실험결과에서 볼 수 있듯이, 제안한 기술은 저노출 환경에서도 콘트라스트가 향상된 다중초점 영상을 복원할 수 있음을 보여준다.

• 한국입자에어로졸학회지
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• 제16권2호
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• pp.49-59
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• 2020

Various devices have been developed to the measurement of particulate matter pollutants, and Optical Particle Counter (OPC) that can be easily and quickly measured is widely used lately. The measured value by OPC is converted to weight concentration using the correction factor (CF). The calculation of CF is very important to improve the reliability and accuracy of OPC. In this study, the CF calculation study of light scattering laser photometer (model 8533, TSI) was carried out to measure in the atmospheric environment using 2 gravimetric devices and 3 light scattering laser photometer devices. Regression analysis and Tukey tests were used to significance the test of measurement devices. Measurements were carried out twice. There was a comparative analysis of measurement data between light scattering laser photometer and gravimetric devices in 1st measurement, and then the Evaluation of PM2.5 concentration corrected by CF performed in 2nd measurement. As a result of the significance analysis between light scattering laser photometer and gravimetric devices, the correlation between the same method was high, but the correlation between different methods was low. CF was calculated as 0.4258 based on the measurement results, and it is a similar level to previous studies at home and abroad. It is expected that these results can be used as basic data in the future study for air quality measurement research using light scattering laser photometer. Also, in order to improve the accuracy of the measurement techniques and the development of technology in the atmospheric environment, CF calculation research should be conducted continuously.

• 한국식생활문화학회지
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• 제28권1호
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• pp.57-69
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• 2013

Recently, an interest in functional foods has been increasing. It was recommended placing a short definition. Therefore, we performed research on the chemical functions and antioxidant ability of broccoli. This research is vital for preparing the most favorable conditions and environment for highly-functional broccoli. Broccoli produced after applying sprouting and light sources were used for research. The chemical properties of the broccoli, including composition, free sugar, citric acid, mineral and vitamin (A, C, E) content, were analyzed. In addition, the ability of broccoli compounds to reduce total phenolic compounds, SOD-liked activity, EDA (electron donating ability), and hydroxyl radicals were inspected. Total analysis relied on the SAS (statistical analysis system). Broccoli sprouts produced through plant factory system's photosynthesis, treated under different light sources, had superior amounts of crude protein, crude fat, and crude ash, compared to normal sprouts under fluorescent light. Is it a facility or does it refer to the inner metabolism of the cell? Broccoli sprouts under red light had superior amounts of glucose, fructose, malic acid, and oxalic acid, while broccoli sprouts under turquoise light had superior amounts of citric acid. Broccoli sprouts under white light had superior amounts of various minerals, such as potassium, magnesium, and sodium. In terms of antioxidant activity, data from the plant factory system shows an increase in EDA antioxidants (1.63 mg/mL, 30.82%). Sprouts applied with turquoise light had superior amounts of hydroxyl radical scavenging (65.62%), and sprouts applied with white light had superior amounts of activated SOD-like activity (52.69%). Research on dehydrated broccoli sprouts showed that sprouts dehydrated with cold air had superior amount of malic, citric, oxalic acid compared to sprouts dehydrated with hot air. In terms of vitamin levels, sprouts dehydrated with cold air had five times the normal amount of vitamin A and E, whereas sprouts dehydrated with hot air had higher amounts of vitamin C. Dehydration at low temperature also produced a higher amount of activated antioxidants (1.6 mg/mL of activated antioxidant ability, 63.04% of SOD-like activity, and 67.76% of hydroxyl radical scavenging). Our results show that antioxidant ability can vary by the type of photosynthesis and temperature level in which the sprouts are dehydrated. Therefore, thorough foundational data is required to product the most functional broccoli.

• 한국산학기술학회논문지
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• 제15권12호
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• pp.7324-7330
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• 2014

미약한 광원 및 조명이 존재하는 환경에서 획득된 저조도 영상에는 많은 색 왜곡이 발생한다. 이러한 색 왜곡은 해당 비전 시스템의 성능 저하를 발생시킬 수 있는 원인이 된다. 따라서 저조도 영상의 원래 색을 찾는 과정은 비전 시스템의 성능 향상을 위한 중요한 과정이다. 이를 위해 본 논문에서는 저조도 영상을 대상으로 한 이색도 반사 모델 기반의 색 복원 기법을 제안한다. 제안한 기법은 이색도 반사 모델을 기반으로 저조도 영상을 확산 반사와 정반사의 영향을 받는 영역으로 구분한다. 이후 각 영역에 미치는 조명 효과를 제거하기 위하여 grey world 기법과 MSRCR 기법을 적용한다. 마지막으로, 두 기법을 적용하여 생성된 결과 영상에 대해 위치별 가중치를 이용하여 두 영상을 조합하여 최종 결과 영상을 생성한다. 본 논문에서는 성능 평가를 위하여 저조도 합성 영상을 사용하였고, 유클리드 거리 및 각 오차를 성능 평가 요소로 활용하였다. 또한 기존에 연구되었던 다양한 기법과의 성능 비교를 수행하여 성능 평가의 객관성을 확보하였다. 다양한 영상 셋을 이용한 실험에서 제안한 기법은 기존의 기법들에 비해 두 성능 평가요소 관점에서 GTD 영상에 가까운 색 복원이 가능함을 보였다.

• 대한공간정보학회지
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• 제20권1호
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• pp.65-72
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• 2012

MEMS(Micro Electro Mechanical System)기술이 발전하여 작고 저렴한 IMU(Initial Measurement Unit)와 GPS(Global Positioning System)통합센서가 생산되어 다양한 분야에서 활용되고 있다. 본 연구에서는 모바일매핑시스템을 경량화하기 위해서 MEMS 기반 IMU/GPS 통합센서가 적합할 것으로 판단하고 XSens사 MEMS 기반 IMU/GPS 통합센서(MTi-G)의 특성 분석을 위한 실험을 수행하였다. 차량 대시보드에 통합센서를 고정하고 인천 송도 국제도시 도로구간과 터널구간을 주행하여 후처리 과정을 거치지 않은 좌표성과를 취득하였다. 전반적으로 위치결정 성과가 양호했지만 일부 구간(정지구간, 과속방지턱, 터널구간 등)에서 센서 특성, XKF(칼만필터) 특성 및 GPS 신호 수신환경 제한으로 인해 양호하지 못한 부분이 확인되었다. 실험결과 경량 모바일매핑시스템의 활용 가능성을 확인할 수 있었으며, 향후 다양한 GPS 신호 수신환경과 주행 조건에서의 실험과 보다 정밀한 정확도 분석이 요구된다.